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Bibliography on: Ecological Informatics

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ESP: PubMed Auto Bibliography 01 Apr 2025 at 01:47 Created: 

Ecological Informatics

Wikipedia: Ecological Informatics Ecoinformatics, or ecological informatics, is the science of information (Informatics) in Ecology and Environmental science. It integrates environmental and information sciences to define entities and natural processes with language common to both humans and computers. However, this is a rapidly developing area in ecology and there are alternative perspectives on what constitutes ecoinformatics. A few definitions have been circulating, mostly centered on the creation of tools to access and analyze natural system data. However, the scope and aims of ecoinformatics are certainly broader than the development of metadata standards to be used in documenting datasets. Ecoinformatics aims to facilitate environmental research and management by developing ways to access, integrate databases of environmental information, and develop new algorithms enabling different environmental datasets to be combined to test ecological hypotheses. Ecoinformatics characterize the semantics of natural system knowledge. For this reason, much of today's ecoinformatics research relates to the branch of computer science known as Knowledge representation, and active ecoinformatics projects are developing links to activities such as the Semantic Web. Current initiatives to effectively manage, share, and reuse ecological data are indicative of the increasing importance of fields like Ecoinformatics to develop the foundations for effectively managing ecological information. Examples of these initiatives are National Science Foundation Datanet projects, DataONE and Data Conservancy.

Created with PubMed® Query: ( "ecology OR ecological" AND ("data management" OR informatics) NOT "assays for monitoring autophagy" ) NOT pmcbook NOT ispreviousversion

Citations The Papers (from PubMed®)

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RevDate: 2025-03-30
CmpDate: 2025-03-30

Yang JZ, Li JH, Liu JL, et al (2025)

Multiomics analysis revealed the effects of polystyrene nanoplastics at different environmentally relevant concentrations on intestinal homeostasis.

Environmental pollution (Barking, Essex : 1987), 372:126050.

Nanoplastics pollution is a global issue, with the digestive tract being one of the first affected organs, requiring further research on its impact on intestinal health. This study involved orally exposing mice to polystyrene nanoplastics (PS-NPs) at doses of 0.1, 0.5, or 2.5 mg/d for 42 days. The effects on intestinal health were thoroughly assessed via microbiomics, metabolomics, transcriptomics, and molecular biology. Our study demonstrated that the administration of all three doses of PS-NPs resulted in increased colonic permeability, heightened colonic and peripheral inflammation, reduced levels of antimicrobial peptides, and shortened colonic length. These effects may be attributed to a reduction in the abundance of probiotic bacteria, such as Clostridia_UCG-014, Roseburia, and Akkermansia, alongside an increase in the abundance of the pathogenic bacterium Desulfovibrionaceae induced by PS-NPs. Furthermore, we underscored the crucial role of histidine metabolism in PS-NPs-induced colonic injury, characterized by a significant reduction of L-histidine, which is closely related to microbial ecological dysregulation. Corresponding to microbiota deterioration and metabolic dysregulation, transcriptome analysis revealed that PS-NPs may disrupt colonic immune homeostasis by activating the TLR4/MyD88/NF-κB/NLRP3 signaling pathway. In conclusion, this study provided novel insights into the mechanisms by which PS-NPs disrupt intestinal homeostasis through integrated multiomics analysis, revealing critical molecular pathway and providing a scientific basis for future risk assessment of nanoplastics exposure.

RevDate: 2025-03-29
CmpDate: 2025-03-29

Rehbein M, Escobari B, Fischer S, et al (2025)

Quantitative and qualitative Data on historical Vertebrate Distributions in Bavaria 1845.

Scientific data, 12(1):525.

Archival collections contain an underutilized wealth of biodiversity data, encapsulated in government files and other historical documents. In 1845, the Bavarian government conducted a comprehensive national survey on the occurrence of 44 selected vertebrate species across the country. The detailed expert responses from 119 forestry offices, totalling 520 handwritten pages, have been preserved in the Bavarian State Archives. In this study, we digitized, annotated, geographically referenced, and published these historical records, making them widely available as data for research and conservation planning. Our dataset, openly accessible through the Global Biodiversity Information Facility (GBIF) and Zenodo, contains 5,467 species occurrence records from 1845. Besides the binary presence/absence data, we have also published the original textual survey responses, which contain rich qualitative information, such as species abundances, population trends, habitats, forest management practices, and human-nature relationships. This information can be further processed and interpreted to address a range of questions in historical and contemporary ecology.

RevDate: 2025-03-28

Boyes D, Holland PWH, University of Oxford and Wytham Woods Genome Acquisition Lab, et al (2021)

The genome sequence of the poplar hawk-moth, Laothoe populi (Linnaeus, 1758).

Wellcome open research, 6:237.

We present a genome assembly from an individual female Laothoe populi (the poplar hawk-moth; Arthropoda; Insecta; Lepidoptera; Sphingidae). The genome sequence is 576 megabases in span. Most of the assembly is scaffolded into 29 chromosomal pseudomolecules, with the W and Z sex chromosome assembled.

RevDate: 2025-03-27
CmpDate: 2025-03-27

Culot A, Abriat G, KP Furlong (2025)

High-Performance Genome Annotation for a Safer and Faster-Developing Phage Therapy.

Viruses, 17(3): pii:v17030314.

Phage therapy, which uses phages to decrease bacterial load in an ecosystem, introduces a multitude of gene copies (bacterial and phage) into said ecosystem. While it is widely accepted that phages have a significant impact on ecology, the mechanisms underlying their impact are not well understood. It is therefore paramount to understand what is released in the said ecosystem, to avoid alterations with difficult-to-predict-but potentially huge-consequences. An in-depth annotation of therapeutic phage genomes is therefore essential. Currently, the average published phage genome has only 20-30% functionally annotated genes, which represents a hurdle to overcome to deliver safe phage therapy, for both patients and the environment. This study aims to compare the effectiveness of manual versus automated phage genome annotation methods. Twenty-seven phage genomes were annotated using SEA-PHAGE and Rime Bioinformatics protocols. The structural (gene calling) and functional annotation results were compared. The results suggest that during the structural annotation step, the SEA-PHAGE method was able to identify an average of 1.5 more genes per phage (typically a frameshift gene) and 5.3 gene start sites per phage. Despite this difference, the impact on functional annotation appeared to be limited: on average, 1.2 genes per phage had erroneous functions, caused by the structural annotation. Rime Bioinformatics' tool (rTOOLS, v2) performed better at assigning functions, especially where the SEA-PHAGE methods assigned hypothetical proteins: 7.0 genes per phage had a better functional annotation on average, compared to SEA PHAGE's 1.7. The method comparison detailed in this article indicate that (1) manual structural annotation is marginally superior to rTOOLS automated structural annotation; (2) rTOOLS automated functional annotation is superior to manual functional annotation. Previously, the only way to obtain a high-quality annotation was by using manual protocols, such as SEA-PHAGES. In the relatively new field of phage therapy, which requires support to advance, manual work can be problematic due to its high cost. Rime Bioinformatics' rTOOLS software allows for time and money to be saved by providing high-quality genome annotations that are comparable to manual results, enabling a safer and faster-developing phage therapy.

RevDate: 2025-03-27
CmpDate: 2025-03-27

Tahir Ul Qamar M, Fatima K, Rao MJ, et al (2025)

Comparative genomics profiling of Citrus species reveals the diversity and disease responsiveness of the GLP pangenes family.

BMC plant biology, 25(1):388.

Citrus is an important nutritional fruit globally; however, its yield is affected by various stresses. This study presents the draft pangenome of Citrus, developed using 11 species to examine their genetic diversity and identify members of the germin-like proteins (GLPs) gene family involved in disease responsiveness. The developed sequence-based pangenome contains 954 Mb sequence and 74,755 genes. The comparative genomics analysis revealed the presence-absence variations (PAVs) among the Citrus genomes and species-specific protein-coding genes. Gene-based pangenome analysis revealed 4,936 new genes missing in the reference genome and highlighted the core and shell genes with putative functions in stress regulation. The pangenome-wide identification of GLP gene family members indicated the intraspecies diversity among the members across 11 genomes by analyzing their gene structure, motifs, and chromosomal distribution patterns. The synteny and evolutionary constraints analyses of Citrus GLPs provide detailed evidence of their evolutionary conservation and divergence. Further, the interaction, functional enrichment, and promoter analysis revealed their involvement in abiotic-, biotic-stress, signaling, and development-related pathways. The expression patterns of C. sinensis GLPs were studied in Huanglongbing (HLB) and Citrus canker disease. Several genes including CsGLPs1-2 and CsGLPs8-4 showed changes in expression patterns under both disease conditions. The qRT-PCR analysis revealed that these two genes were highly expressed in leaves infected with HLB disease across seven HLB-tolerant and susceptible citrus species. This Citrus pangenome and pangenes family study offers a comprehensive resource and new insights into the structural and functional diversity, identifying candidate genes that are important for future research to understand the stress-responsive mechanisms in Citrus.

RevDate: 2025-03-26
CmpDate: 2025-03-26

Tam CC, Young SD, Harrison S, et al (2025)

Theory-Based Social Media Intervention for Nonmedical Use of Prescription Opioids in Young Adults: Protocol for a Randomized Controlled Trial.

JMIR research protocols, 14:e65847 pii:v14i1e65847.

BACKGROUND: The nonmedical use of prescription opioids (NMUPO) in young adults in the United States is concerning and is robustly influenced by many psychosocial factors. Given the advantages of flexibility, wide coverage, and real-time responses and assessment, using social media appears to be a promising and innovative approach to delivering psychosocial intervention to young adults. However, few theory-based social media interventions are available for NMUPO targeting this at-risk population.

OBJECTIVE: Guided by the information-motivation-behavioral skills model, the proposed research aims to address critical gaps by theoretically exploring psychosocial content associated with NMUPO among young adults via formative assessment. These findings will then be used to develop and evaluate the feasibility and preliminary efficacy of a peer-led social media intervention to reduce NMUPO among young adults.

METHODS: The proposed study will comprise serial research activities. First, formative research will be conducted through semistructured interviews among 30 young adults engaged in NMUPO. Qualitative data will be synthesized using a pragmatic approach for identifying psychosocial content associated with NMUPO. Second, qualitative findings will be used for developing a peer-led social media intervention to reduce NMUPO among young adults by integrating promising psychotherapy principles and incorporating them with well-trained recovery coaches. Third, the social media intervention will be evaluated through a 12-week randomized controlled trial among 70 young adults (n=35, 50% in the intervention group and control group) engaged in NMUPO via mixed methods, including pre- and postintervention surveys, social media paradata (eg, time-series reactions to posts) collection, and ecological momentary assessment during the intervention. The control group will not receive an intervention but will complete the pre- and postintervention surveys. The primary outcomes will be feasibility, usability, and acceptability, while the secondary outcomes will be psychosocial and behavioral measures, such as past-3-month NMUPO, intention, psychological distress, self-efficacy, resilience, and coping strategies.

RESULTS: The proposed study was funded in May 2024. Social media campaigns have received responses from a total of 379 individuals, with 24 (6.3%) identified as eligible. As of February 10, 2025, we have completed formative interviews with 8 eligible participants.

CONCLUSIONS: The proposed study will be one of the first efforts to develop and deliver a theory-based peer-led intervention on social media, incorporating empirical findings on the psychosocial mechanism of NMUPO. The findings of the proposed study will provide valuable insights into opioid risk reduction for young adults through an innovative approach. If the tested trial is found to be feasible, the proposed study will contribute to future scaled-up and fully powered psychosocial interventions among young adults and other key populations at risk for NMUPO.

TRIAL REGISTRATION: ClincialTrials.gov NCT06469749; https://clinicaltrials.gov/study/NCT06469749.

DERR1-10.2196/65847.

RevDate: 2025-03-26

Sfriso AA, Juhmani AS, Tomio Y, et al (2025)

Microbial dynamics in seagrass restoration: Unveiling hidden indicators of ecological success.

Marine environmental research, 208:107089 pii:S0141-1136(25)00146-1 [Epub ahead of print].

Seagrass transplantation significantly alters sediment microbial communities, shaping their composition and metabolic functions. One year after Zostera marina transplantation, the microbial community structure and functions at the recipient site began shifting toward those of the donor site. Key microbial taxa associated with seagrass meadow sediment, such as Firmicutes (Hungateiclostridiaceae, Defluviitaleaceae) and Campylobacterota (Sulfurovum), increased in abundance, correlating with sediment organic matter content and carbon availability. Four functional groups were identified, each with distinct metabolic roles: (1) Opportunistic Anaerobic Degraders, (2) Seagrass-Driven Carbon Recyclers, (3) Anaerobic Fermenters and Hydrocarbon Recyclers and (4) Oxygen-Linked Carbon and Sulfur Cyclers. The sediments of transplanted Z. marina meadows exhibited increased cellulolysis and aerobic chemoheterotrophy, along with a reduction in nitrogen metabolism one year post transplant. Despite these microbial shifts, sediment isotopic signatures remained indicative of algal biomass, suggesting an incomplete transition toward a mature seagrass environment. Multivariate analysis further confirmed that the microbial community at the recipient site had not yet fully converged with that of the donor meadow, indicating that complete sediment maturation may require longer timescales. These findings demonstrate that microbial community composition and functional annotations serve as early indicators of seagrass restoration success. Long-term monitoring is essential to track ecosystem recovery and assess the stabilization of sediment conditions.

RevDate: 2025-03-26
CmpDate: 2025-03-26

Ferrari YAC, Jesus CVF, Batista JFC, et al (2025)

Secular trend of cervical cancer mortality in Brazil and regions.

Ciencia & saude coletiva, 30(3):e09962023.

The scope of this study was to describe the secular trend of cervical cancer mortality in Brazil and its various regions from 1980 to 2021. It involved a populational and ecological study, based on data available at the Department of Informatics of the Unified Health System, using codes 180 and C53. Crude rates, age-specific rates, and age-standardized rates were calculated for the Brazilian and world population. The Average Annual Percent Change (AAPC) was obtained by trend analysis using the Joinpoint Regression Program, with a significance level of 0.05 and 95% confidence intervals (95%CI). There were 171,793 deaths from cervical cancer. In Brazil (AAPC -0.3; CI95%-1.0; 0.4), North (AAPC 0.6; 95%CI -0.1; 1.3) and South (AAPC 0.0; 95%CI -0.5; 0.5) the trends were stationary, increasing in the Northeast (AAPC 0.6; 95%CI 0.3; 0.8) and in the Midwest (AAPC -1.3; 95%CI -1.5; -1.1), and decreasing in the Southeast (AAPC -0.9; 95%CI -1.4; -0.5). Regional differences indicate that public policies need to be improved regarding women's access to a health system that offers adequate prevention, screening and treatment through management strategies that include the most vulnerable population.

RevDate: 2025-03-26

Pekar JE, Wang Y, Wang JC, et al (2025)

Transmission dynamics of the 2022 mpox epidemic in New York City.

Nature medicine [Epub ahead of print].

The 2022 global mpox epidemic was caused by transmission of MPXV clade IIb, lineage B.1 through sexual contact networks, with New York City (NYC) experiencing the first and largest outbreak in the United States. By performing phylogeographic analysis of MPXV genomes sampled from 757 individuals in NYC between April 2022 and April 2023, and 3,287 MPXV genomes sampled around the world, we identify over 200 introductions of MPXV into NYC with at least 84 leading to onward transmission. These infections primarily occurred among men who have sex with men, transgender women and nonbinary individuals. Through a comparative analysis with HIV in NYC, we find that both MPXV and HIV genomic cluster sizes are best fit by scale-free distributions, and that people in MPXV clusters are more likely to have previously received an HIV diagnosis and be a member of a recently growing HIV transmission cluster. We model MPXV transmission through sexual contact networks and show that highly connected individuals would be disproportionately infected at the start of an epidemic, which would likely result in the exhaustion of the most densely connected parts of the network, and, therefore, explain the rapid expansion and decline of the NYC outbreak. By coupling the genomic epidemiology of MPXV and HIV with epidemic modeling, we demonstrate that the transmission dynamics of MPXV in NYC can be understood by general principles of sexually transmitted pathogens.

RevDate: 2025-03-25
CmpDate: 2025-03-25

Liu X, Milesi E, Fontsere C, et al (2025)

Time-lagged genomic erosion and future environmental risks in a bird on the brink of extinction.

Proceedings. Biological sciences, 292(2043):20242480.

Global biodiversity is rapidly declining due to habitat degradation and genomic erosion, highlighting the urgent need to monitor endangered species and their genetic health. Temporal genomics and ecological modelling offer finer resolution than single-time-point measurements, providing a comprehensive view of species' recent and future trajectories. We investigated genomic erosion and environmental suitability in the critically endangered regent honeyeater (Anthochaera phrygia) by sequencing whole genomes of historical and modern specimens and building multi-temporal species distribution models (SDMs) across the last century. The species has declined from hundreds of thousands of individuals to fewer than 300 over the past 100 years. SDMs correctly predicted known patterns of local extinction in southeast Australia. Our demographic reconstructions revealed a gradual population decline from 2000 to 2500 years ago, sharply accelerating in the last 500 years due to climate variability and habitat loss. Despite this substantial demographic collapse, the regent honeyeater has lost only 9% of its genetic diversity, with no evidence of inbreeding or connectivity loss. Also, it exhibits higher diversity than many other threatened bird species. Forward-in-time genomic simulations indicate that this time lag between population decline and genetic diversity loss conceals the risk of ongoing genomic erosion into a future of rapidly degrading environmental suitability. Our work underscores the need for targeted conservation efforts and continuous genetic monitoring to prevent species extinction.

RevDate: 2025-03-27
CmpDate: 2025-03-26

Dinnage R, M Kleineberg (2025)

Generative AI extracts ecological meaning from the complex three dimensional shapes of bird bills.

PLoS computational biology, 21(3):e1012887.

Data on the three dimensional shape of organismal morphology is becoming increasingly available, and forms part of a new revolution in high-throughput phenomics that promises to help understand ecological and evolutionary processes that influence phenotypes at unprecedented scales. However, in order to meet the potential of this revolution we need new data analysis tools to deal with the complexity and heterogeneity of large-scale phenotypic data such as 3D shapes. In this study we explore the potential of generative Artificial Intelligence to help organize and extract meaning from complex 3D data. Specifically, we train a deep representational learning method known as DeepSDF on a dataset of 3D scans of the bills of 2,020 bird species. The model is designed to learn a continuous vector representation of 3D shapes, along with a 'decoder' function, that allows the transformation from this vector space to the original 3D morphological space. We find that approach successfully learns coherent representations: particular directions in latent space are associated with discernible morphological meaning (such as elongation, flattening, etc.). More importantly, learned latent vectors have ecological meaning as shown by their ability to predict the trophic niche of the bird each bill belongs to with a high degree of accuracy. Unlike existing 3D morphometric techniques, this method has very little requirements for human supervised tasks such as landmark placement, increasing it accessibility to labs with fewer labour resources. It has fewer strong assumptions than alternative dimension reduction techniques such as PCA. Once trained, 3D morphology predictions can be made from latent vectors very computationally cheaply. The trained model has been made publicly available and can be used by the community, including for finetuning on new data, representing an early step toward developing shared, reusable AI models for analyzing organismal morphology.

RevDate: 2025-03-26
CmpDate: 2025-03-26

Aquino ÉC, Borowicc SL, Alves-Souza SN, et al (2025)

Distribution of garbage codes in the Mortality Information System, Brazil, 2000 to 2020.

Ciencia & saude coletiva, 30(3):e09442023.

The analysis of the causes of death is essential to understand the main problems that affect the health level of the population of a region or country. The garbage codes (GC) provide little useful information about causes of death. This study aims to identify the proportion of GC among the deaths registered and to analyze their temporal distribution in Brazil from 2000 to 2020. It's an ecological time-series study of the evolution of the proportion of GC in Brazil. Time series analysis was performed using segmented linear regression models (joinpoint). Between 2000 and 2020, 39.9% of deaths that occurred in Brazil were coded with GC. Between 2000 and 2007, there was a continuous and persistent reduction in the proportion of GC (APC -2.1; P < 0.001). Between 2007 and 2015, there continued to be a reduction, albeit to a lesser extent (APC = -0.7; P = 0.013). Between 2015 and 2018, there was no significant trend of the proportion of GC (APC = -2.3; P = 0.172), which persisted from 2018 (APC 3.2; P < 0.079). Although a reduction in the proportion of GC in Brazil was observed until 2018, this trend did not persist after that year. Reducing the proportion of GC allows managers to plan health policies more adequately for the population.

RevDate: 2025-03-26
CmpDate: 2025-03-25

Aucello R, Pernice S, Tortarolo D, et al (2025)

UnifiedGreatMod: a new holistic modelling paradigm for studying biological systems on a complete and harmonious scale.

Bioinformatics (Oxford, England), 41(3):.

MOTIVATION: Computational models are crucial for addressing critical questions about systems evolution and deciphering system connections. The pivotal feature of making this concept recognizable from the biological and clinical community is the possibility of quickly inspecting the whole system, bearing in mind the different granularity levels of its components. This holistic view of system behaviour expands the evolution study by identifying the heterogeneous behaviours applicable, e.g. to the cancer evolution study.

RESULTS: To address this aspect, we propose a new modelling paradigm, UnifiedGreatMod, which allows modellers to integrate fine-grained and coarse-grained biological information into a unique model. It enables functional studies by combining the analysis of the system's multi-level stable states with its fluctuating conditions. This approach helps to investigate the functional relationships and dependencies among biological entities. This is achieved, thanks to the hybridization of two analysis approaches that capture a system's different granularity levels. The proposed paradigm was then implemented into the open-source, general modelling framework GreatMod, in which a graphical meta-formalism is exploited to simplify the model creation phase and R languages to define user-defined analysis workflows. The proposal's effectiveness was demonstrated by mechanistically simulating the metabolic output of Escherichia coli under environmental nutrient perturbations and integrating a gene expression dataset. Additionally, the UnifiedGreatMod was used to examine the responses of luminal epithelial cells to Clostridium difficile infection.

GreatMod https://qbioturin.github.io/epimod/, epimod_FBAfunctions https://github.com/qBioTurin/epimod_FBAfunctions, first case study E. coli  https://github.com/qBioTurin/Ec_coli_modelling, second case study C. difficile  https://github.com/qBioTurin/EpiCell_CDifficile.

RevDate: 2025-03-24

Broad GR, Holt S, Sivess L, et al (2025)

The genome sequence of the Scorched Wing moth, Plagodis dolabraria (Linnaeus, 1767).

Wellcome open research, 10:111.

We present a genome assembly from a male specimen of Plagodis dolabraria (Scorched Wing; Arthropoda; Insecta; Lepidoptera; Geometridae). The genome sequence has a total length of 939.07 megabases. Most of the assembly (99.59%) is scaffolded into 31 chromosomal pseudomolecules, including the Z sex chromosome. The mitochondrial genome has also been assembled and is 16.97 kilobases in length.

RevDate: 2025-03-23
CmpDate: 2025-03-23

Kelliher JM, Rodriguez FE, Johnson LYD, et al (2025)

Quantifying the impact of workshops promoting microbiome data standards and data stewardship.

Scientific reports, 15(1):9887.

The field of microbiome research continues to grow at a rapid pace, with multi-omics approaches becoming widely used to interrogate diverse microbiome samples. However, due to lagging awareness and implementation of standards and data stewardship, many datasets are produced that are not comparable, reproducible, or reusable. In 2021, the National Microbiome Data Collaborative launched its Ambassador Program, which utilizes a community-learning model to annually train a cohort of early-career researchers in microbiome data stewardship best practices. These Ambassadors then host workshops and other events to communicate these themes to their respective microbiome research communities. To quantify the impact of this learning model for promoting awareness of and experience with microbiome data, we conducted a survey of workshop participants from events hosted by the 2023 Ambassador cohort. The 2023 cohort of 13 National Microbiome Data Collaborative Ambassadors collectively hosted 21 events, reaching over 550 researchers. The Ambassadors distributed an anonymous post-workshop survey to their event participants to quantify the effectiveness of the training materials, the workshop format, and the thematic content. From the 21 events, survey results were successfully collected for 15 of those events from a total of 122 researchers. Overall, 122 participants working with a range of microbiome types and from a variety of institutions responded to the survey and reported overwhelmingly positive experiences with the workshop content and materials, with 98% of respondents reporting that they gained knowledge from the event. Participants across the events also reported an increase in their post-workshop understanding of metadata standards, principles for microbiome data management and reporting, and the importance of standardization in microbiome data processing. Participants also expressed a willingness to apply what they learned about microbiome data stewardship to their own research. The results of this study demonstrate the effectiveness of hands-on workshops and community-learning for communicating data stewardship best practices to microbiome researchers. The lessons learned and details about the implementation of this cohort-based learning model contained herein are intended to assist other groups in their efforts to create or improve similar learning strategies.

RevDate: 2025-03-22

Eaton WD, McGee KM, Glahn A, et al (2025)

Use of a logging road in a Costa Rican forest changes the composition and stability of soil microbial decomposer communities, and the conversion of organic carbon into biomass.

Journal of applied microbiology pii:8090501 [Epub ahead of print].

AIMS: The effects of a tropical forest logging road on soil C and N, and the compositions of Actinobacteria, Acidobacteria, and wood rot/lignin-degrading fungal (WRT/LD) decomposer communities were evaluated.

METHODS AND RESULTS: Soils from a healthy Costa Rican old growth forest before Hurricane Otto and from an adjacent, recently formed logging road built after Hurricane Otto were collected over 4 years and assessed for C and N metrics, and characteristics of the 3 decomposer communities determined by Illumina amplicon sequencing methods. The Logging Road negatively impacted the soil total organic C, respiration, biomass C, qCO2, and total N, while the Actinobacterial and Acidobacterial communities changed from stable compositions of copiotrophic taxa in the rich forest soil to stable compositions of oligotrophic taxa in the poor logging road soil, and the wood rot/lignin degrading (WRT/LD) community changed from stable compositions of copiotrophic taxa in the forest soils to an unstable community of oligotrophic taxa with almost no overlap in genera between Logging Road soils.

CONCLUSIONS: The logging road negatively influenced 3 decomposer communities and associated C and N metrics, with the two bacterial communities taxonomically stabilizing, but the fungal community taxonomically diverging into an unstable composition over time. Monitoring efforts are on-going to provide local forest land managers with potential indicators of soil ecosystem damage and recovery.

RevDate: 2025-03-22

Hanly J, Anon , Perret J, et al (2025)

Disability in ecology and evolution.

Trends in ecology & evolution pii:S0169-5347(25)00033-3 [Epub ahead of print].

RevDate: 2025-03-22

Pinkert S, Reuber V, Krug LM, et al (2025)

Burrowing facilitated the survival of mammals in harsh and fluctuating climates.

Current biology : CB pii:S0960-9822(25)00278-7 [Epub ahead of print].

Species' ability to cope with climatic instability varies greatly, influenced by factors such as dispersal, physiological adaptations, and phylogenetic conservatism. Here, we investigate how burrowing behavior, a key component of species' endurance strategies and ecosystem functioning, shaped the contemporary patterns of species richness and range size as well as the diversification of mammalian lineages. Analyzing 4,407 terrestrial mammal species, excluding bats, combined with novel trait data on 3,096 species, we reveal contrasting responses to climatic factors between burrowing and non-burrowing species. Burrowing lineages are disproportionately species-rich at lower temperatures and productivity. Both range size and species richness steeply increase with climate seasonality in burrowing species as opposed to non-burrowing species. The proportion of burrowing species increases with latitude, with regions above 20°, especially those exhibiting greater Pleistocene temperature changes, being almost exclusively composed of burrowing species. Trait conservatism, higher net diversification rates, and Eocene peak diversification provide the evolutionary context for these contemporary patterns, underscoring the role of burrowing for mammalian radiations into temperate climates. Moreover, the lower extinction rate of burrowing species and peak diversification at the Cretaceous-Paleogene (K-Pg) boundary support the longstanding hypothesis that burrowing behavior promoted survival during the "impact winter" that marks the replacement of non-avian dinosaurs by mammals. Our study highlights the potential of readily available trait information for understanding the ecological and evolutionary processes that shape species distributions through space and time. The careful integration of divergent environmental constraints bears vast improvements for forecasts of species' responses to climatic changes and global models of biodiversity patterns.

RevDate: 2025-03-23
CmpDate: 2025-03-23

Huang JN, Gao CC, Ren HY, et al (2025)

Multi-omics association pattern between gut microbiota and host metabolism of a filter-feeding fish in situ exposed to microplastics.

Environment international, 197:109360.

Microplastics (MPs) are widespread in water environments and can affect gut microbiota and host metabolism of fish, but whether changes in host metabolism under MPs are mediated by gut microbiota remains unclear. Here, silver carp, a filter-feeding fish with important ecological functions, was in-situ exposure to environmentally relevant MPs. Multi-omics analysis and fecal microbiota transplantation were used to reveal the metabolic responses of carp along gut-liver-muscle axis. After three months of in situ exposure to MPs, community structure of gut microbiota of carp was reshaped, and five dominate phyla were significantly changed, including increased Cyanobacteria, Chloroflexi and Planctomycetota but decreased Firmicutes and Fusobacteriota. Weighted gene co-expression network analysis was further performed between these phyla and liver transcription spectrum, showing that the hub gene module contained up-regulated hppD, maiA and plg and activated ubiquinone and other terpenoid-quinone biosynthesis and phenylalanine metabolism. By fecal microbiota transplantation, the key gene module associated with core microbiota phyla of carp was verified in germ-free zebrafish. Interestingly, up-regulated hppD, maiA and plg and enriched phenylalanine metabolism were also observed in this module. Subsequently, metabolome performed in carp liver also shared activated phenylalanine metabolism, including increased trans-cinnamic acid and L-tyrosine. Furthermore, high-associated mapping showed that the differentially expressed metabolites (gamma-aminobutyric acid, ornithine and L-serine) related to amino acid metabolism in carp muscle were significantly accompanied with increased L-tyrosine in its liver. Overall, MPs exposure could change gut microbiome of silver carp and alter host metabolism especially amino acid metabolism along the gut-liver-muscle axis.

RevDate: 2025-03-23
CmpDate: 2025-03-23

Schroeder MW, Frumkin MR, RA Mace (2025)

Proof-of-concept for integrating multimodal digital health assessments into lifestyle interventions for older adults with dementia risk factors.

Journal of behavioral medicine, 48(2):373-384.

Multimodal digital health assessments overcome the limitations of patient-reported outcomes by allowing for continuous and passive monitoring but remain underutilized in older adult lifestyle interventions for brain health. Therefore, we aim to (1) report ecological momentary assessment (EMA) and ActiGraph adherence among older adults during a lifestyle intervention; and (2) use dynamic data collected via EMA and ActiGraph to examine person-specific patterns of mindfulness, steps, and sleep throughout the intervention. We analyzed EMA and ActiGraph data from a pilot study of the 8-week My Healthy Brain program (N = 10) lifestyle group for older adults (60+) with subjective cognitive decline. EMA adherence metrics included proportion of EMA completed and the proportion of days with at least 10 mindfulness minutes. ActiGraph GT9X adherence metrics included the number of valid wear days (≥ 7 h) and the number of days participants achieved their step goal. We used linear mixed-effects models to examine person-specific patterns of step count, sleep efficiency, and mindfulness practice. On average, participants completed 39 of the 49 possible EMAs (80%) during the program. ActiGraph adherence was slightly higher than EMA (M = 61.40 days, 87.71%). Participants achieved the daily mindfulness goal (10 min/day) and step goal on 46.32% and 55.10% of days, respectively. Dynamic data revealed that on average, participant step counts increased by approximately 16.5 steps per day (b = 16.495, p = 0.002). However, some participants exhibited no changes while improvements made by other participants returned to baseline levels of activity. There was substantial heterogeneity in trajectories of mindfulness practice and sleep efficiency. EMA and ActiGraph are feasible for older adults enrolled in dementia risk reduction lifestyle interventions. Future studies are needed to better understand how mechanisms of lifestyle behaviors captured by EMA and ActiGraph are related to cognitive outcomes in older adults.

RevDate: 2025-03-22
CmpDate: 2025-03-22

Li M, Wu L, Shi Y, et al (2025)

Bioinformatics and Functional Analysis of OsASMT1 Gene in Response to Abiotic Stress.

Biochemical genetics, 63(2):1527-1540.

The study aimed to elucidate the functional characteristics of OsASMT1 gene under copper (Cu) or sodium chloride (NaCl) stress. Bioinformatics scrutiny unveiled that OsASMT1 is situated on chromosome 9. Its protein architecture, comprising dimerization and methyltransferase domains, showed significant similarities to OsASMT2 and OsASMT3. High expression in roots and panicles, along with abiotic stress putative cis-regulatory elements in the promoter, indicated potential stress responsiveness. Real-time quantitative PCR confirmed OsASMT1 induction under Cu and NaCl stress in rice. Surprisingly, yeast expressing OsASMT1 did not exhibit enhanced resistance to abiotic stresses. The results of subcellular localization analysis indicated that OsASMT1 plays a role in the cytoplasm. While OsASMT1 responded to Cu and NaCl stress in rice, its heterologous expression in yeast failed to confer abiotic stress resistance, highlighting the need for further investigation of its functional implications.

RevDate: 2025-03-21

Hesson JC, Haba Y, McBride CS, et al (2025)

A chromosomal reference genome sequence for the northern house mosquito, Culex pipiens form pipiens, Linnaeus, 1758.

Wellcome open research, 10:107.

We present a genome assembly from an individual female Culex pipiens sensu stricto (the northern house mosquito; Arthropoda; Insecta; Diptera; Culicidae), from a wild population in Sweden. The genome sequence is 533 megabases in span. Most of the assembly is scaffolded into three chromosomal pseudomolecules. The complete mitochondrial genome was also assembled and is 15.6 kilobases in length.

RevDate: 2025-03-20

Dong J, Dai W, Xu J, et al (2025)

Impact and elastic modulus of coal mining on terrestrial ecosystems.

Scientific reports, 15(1):9454.

The energy consumption structure is gradually evolving into a "diversified energy structure" against the backdrop of the global implementation of energy-saving and low-carbon policies. Coal, as the main energy source in China, is difficult to change in the short term, given the characteristics of China's energy and resource endowments, as well as the actual social and economic development at the present stage. Nevertheless, coal mining inevitably leads to a range of ecological issues. Identifying the impact of coal mining on terrestrial ecosystems and adopting resilient recovery measures are crucial prerequisites for advancing green coal mining efforts and attaining carbon peaking and carbon neutrality goals. Using China's open-pit coal mining as a case study: (1) the research examines the fundamental attributes and evolving patterns of spatial distribution among these mines within the country. Furthermore, it delineates the life cycle stages and distinctive features of the five principal open-pit coal mines. The life cycle of a coal mining area is divided into four distinct development phases: the initial phase, the accelerated phase, the stable phase, and the declining phase. The spatial relationship between the life cycle stages of coal mining and ecosystem succession is elucidated by examining the evolutionary types of ecosystems within coal mine area. In the accelerated and stable development phase, the adverse effects of coal mining on the ecosystem are in a long-term increasing trend, causing the key elements of the ecosystem to gradually surpass their threshold values. The ecosystem is out of balance, severely damaged, and gradually undergoing degradation or extreme degradation. The types of ecological succession in coal mining areas can be categorized as follows: terrestrial succession leading to a new terrestrial ecosystem, terrestrial to aquatic ecosystem transitions, or the development of an amphibious symbiotic ecosystem. (2) The research quantitatively assessed the impact of surface coal mining on terrestrial ecosystems by utilizing remote sensing data in conjunction with coal production information. In 2022, the affected areas of the five major open-pit coal mines due to coal mining activities amounted to approximately 0.02% of China's total land area. Meanwhile, the nationwide affected areas of all open-pit coal mines combined reached to approximately 0.13% of China's land area. Open-pit coal mining activities have a significant impact on the surface. (3) By incorporating the ecological resilience theory, we establish a model for the ecosystem's elastic modulus in coal mining areas, taking into account landscape diversity, vegetation coverage, land type, and climate factors, which are based on the concepts of elastic strength and elastic limit. A conceptual model for recognizing ecological thresholds in coal mining areas is developed by incorporating the comprehensive integrity index of the ecosystem. The comprehensive integrity of the ecosystem within a coal mining area undergoes significant alterations as it crosses three distinct ecological thresholds: the elastic point, the yield point, and the mutational point. There should be a corresponding constant (or constant interval) at the three ecological thresholds of ecosystem resilience, the elastic point, the yield point, and the mutational point, which is closely related to the scale of mining operations, mining technology, and the service life in coal mining areas. The established models for identifying ecological thresholds and the resilience modulus degree serve as both theoretical references and practical bases for managing the progress and trends of ecosystem changes during coal resource extraction, making ecological restoration in coal mine areas more target-oriented and specific.

RevDate: 2025-03-20
CmpDate: 2025-03-20

Mammides C, Ieronymidou C, H Papadopoulos (2025)

An ecoacoustic dataset collected on the island of Cyprus in the Mediterranean Basin biodiversity hotspot.

Scientific data, 12(1):461.

There is growing interest in using novel technologies for large-scale biodiversity monitoring. Passive acoustic monitoring (PAM) represents a promising approach for surveying vocalizing animals. However, further development of PAM methods is needed to improve their accuracy. The availability of extensive ecoacoustic datasets from biodiverse areas can facilitate this development. In this study, we present a large ecoacoustic dataset (1.58 TB) collected at sixty-one study sites on the island of Cyprus between March and May 2023. The dataset comprises >313,000 audio files, representing over 5,200 hours of recordings. It can be used for a range of applications, such as developing and refining species identification algorithms, acoustic indices, and protocols for processing acoustic data to exclude non-focal sounds, e.g., those produced by human activities. It can also be used to explore fundamental ecological questions. To facilitate its use, the complete dataset has been made available on the Hugging Face repository and the ARBIMON platform, operated by Rainforest Connection[TM], which offers a range of free tools for ecoacoustic analyses.

RevDate: 2025-03-20
CmpDate: 2025-03-20

Zhang G, Ristola P, Su H, et al (2025)

BioArchLinux: community-driven fresh reproducible software repository for life sciences.

Bioinformatics (Oxford, England), 41(3):.

MOTIVATION: The BioArchLinux project was initiated to address challenges in bioinformatics software reproducibility and freshness. Relying on Arch Linux's user-driven ecosystem, we aim to create a comprehensive and continuously updated repository for life sciences research.

RESULTS: BioArchLinux provides a PKGBUILD-based system for seamless software packaging and maintenance, enabling users to access the latest bioinformatics tools across multiple programming languages. The repository includes Docker images, Windows Subsystem for Linux (WSL) support, and Junest for nonroot environments, enhancing accessibility across platforms. Although being developed and maintained by a small core team, BioArchLinux is a fast-growing bioinformatics repository that offers a participatory and community-driven environment.

The repository, documentation, and tools are freely available at https://bioarchlinux.org and https://github.com/BioArchLinux. Users and developers are encouraged to contribute and expand this open-source initiative.

RevDate: 2025-03-19
CmpDate: 2025-03-19

Rank M, Kather A, Wilke D, et al (2025)

Limitations of estimating antibiotic resistance using German hospital consumption data - a comprehensive computational analysis.

Scientific reports, 15(1):9244.

For almost a century, antibiotics have played an important role in the treatment of infectious diseases. However, the efficacy of these very drugs is now threatened by the development of resistances, which pose major challenges to medical professionals and decision-makers. Thereby, the consumption of antibiotics in hospitals is an important driver that can be targeted directly. To illuminate the relation between consumption and resistance depicts a very important step in this procedure. With the help of comprehensive ecological and clinical data, we applied a variety of different computational approaches ranging from classical linear regression to artificial neural networks to analyze antibiotic resistance in Germany. These mathematical and statistical models demonstrate that the amount and particularly the structure of currently available data sets lead to contradictory results and do, therefore, not allow for profound conclusions. More effort and attention on both data collection and distribution is necessary to overcome this problem. In particular, our results suggest that at least monthly or quarterly antibiotic use and resistance data at the department and ward level for each hospital (including application route and type of specimen) are needed to reliably determine the extent to which antibiotic consumption influences resistance development.

RevDate: 2025-03-19
CmpDate: 2025-03-19

Árvay J, Hauptvogl M, Demková L, et al (2025)

GIS-based Visualization of Elemental Distribution in Neoboletus Luridiformis Fruiting Body.

Biological trace element research, 203(4):2271-2283.

The fruiting body of Neoboletus luridiformis (Scarletina bolete) mushroom was used to determine the level of bioconcentration and subsequent distribution of seventeen elements (Ag, Al, Ba, Ca, Cd, Cr, Cu, Fe, K, Mg, Mn, Na, Ni, Pb, Se, Sr, and Zn). A two-centimeter-thick vertical section of the entire fruit body was divided into 101 partial sub-samples where the contents of the studied elements were determined using ICP OES. The actual distribution of the elements in the fruiting body profile was visualized using a GIS interpolation method resulting in distribution maps. The study provides valuable insights into the distribution patterns of 17 elements within the fruiting body of N. luridiformis. Based on the visualization of the elemental content, the determined elements can be divided into three categories. Elements accumulated primarily (i) in the cap (Al, Ag, Ca, Cd, Cu, Fe, K, Mg, Ni, and Zn), (ii) in the stipe (Ba, Mn, Na, Pb, and Se), and (iii) elements with non-specific distribution (Cr and Sr). Since such detailed information supported by graphical visualization has not been published to date, the information in this study will help to better understand the accumulation and distribution of elements within the fruiting bodies of wild as well as cultivated mushroom species.

RevDate: 2025-03-18

Sivell O, Sivell D, Mitchell R, et al (2025)

The genome sequence of the Small Red Damselfly, Ceriagrion tenellum (de Villers, 1789).

Wellcome open research, 10:79.

We present a genome assembly from a male specimen of Ceriagrion tenellum (Small Red Damselfly; Arthropoda; Insecta; Odonata; Coenagrionidae). The genome sequence has a total length of 2,077.00 megabases. Most of the assembly (99.28%) is scaffolded into 14 chromosomal pseudomolecules, including the X sex chromosome. The mitochondrial genome has also been assembled and is 17.21 kilobases in length.

RevDate: 2025-03-18
CmpDate: 2025-03-18

Rakkannan G, Mohanty AK, Das II, et al (2025)

Triflumezopyrim induced oxidative stress, DNA damage and apoptosis on Labeo rohita: Insights from Bioinformatics, Histopathological and Molecular approaches.

International journal of biological macromolecules, 304(Pt 2):140911.

Triflumezopyrim is a novel mesoionic pesticide used in Asian rice fields to control brown plant hopper, which can reach aquatic environments through drift during application or surface runoff. Thus, this study aimed to investigate the effect of chronic exposure of sub-lethal concentrations of triflumezopyrim (2.468 ppm, 1.480 ppm, and 0.740 ppm) on freshwater carp, Labeo rohita.This study encompassed a multi-pronged approach, including molecular docking studies to elucidate the interactions between triflumezopyrim and selected proteins, an assessment of 8-OHdG (8-hydroxy-2-deoxyguanosine) activity to gauge DNA damage, histopathological examinations to identify cellular alterations, and expression of genes involved in oxidative stress, DNA repair, and apoptosis in L. rohita. We observed dose-dependent responses in 8-OHdG activity and the expression of select genes, with higher concentrations of triflumezopyrim yielding more pronounced transcriptional alterations. Notably, histopathological examinations of liver and brain tissues vividly portrayed the impact of triflumezopyrim on L. rohita. These findings contribute to the assessment of biological toxicity and the environmental footprint left by chemical pollutants such as triflumezopyrim. The study emphasizes the crucial role of monitoring histopathological alterations, 8-OHdG activity and gene expression changes as potential biomarkers for assessing exposures to triflumezopyrim. This research provides valuable insights into the ecological implications of triflumezopyrim in aquatic ecosystems.

RevDate: 2021-10-21
CmpDate: 2014-04-23

Weston ED, Whitfield DP, Travis JM, et al (2013)

When do young birds disperse? Tests from studies of golden eagles in Scotland.

BMC ecology, 13:42.

BACKGROUND: Dispersal comprises three broad stages - departure from the natal or breeding locations, subsequent travel, and settlement. These stages are difficult to measure, and vary considerably between sexes, age classes, individuals and geographically. We used tracking data from 24 golden eagles, fitted with long-lived GPS satellite transmitters as nestlings, which we followed during their first year. We estimated the timing of emigration from natal sites using ten previously published methods. We propose and evaluate two new methods. The first of these uses published ranging distances of parents as a measure of the natal home range, with the requirement that juveniles must exceed it for a minimum of 10 days (a literature-based measure of the maximum time that a juvenile can survive without food from its parents). The second method uses the biggest difference in the proportion of locations inside and outside of the natal home range smoothed over a 30 day period to assign the point of emigration. We used the latter as the standard against which we compared the ten published methods.

RESULTS: The start of golden eagle dispersal occurred from 39 until 250 days after fledging (based on method 12). Previously published methods provided very different estimates of the point of emigration with a general tendency for most to apparently assign it prematurely. By contrast the two methods we proposed provided very similar estimates for the point of emigration that under visual examination appeared to fit the definition of emigration much better.

CONCLUSIONS: We have used simple methods to decide when an individual has dispersed - they are rigorous and repeatable. Despite one method requiring much more information, both methods provided robust estimates for when individuals emigrated at the start of natal dispersal. Considerable individual variation in recorded behaviour appears to account for the difficulty capturing the point of emigration and these results demonstrate the potential pitfalls associated with species exhibiting complex dispersal behaviour. We anticipate that coupled with the rapidly increasing availability of tracking data, our new methods will, for at least some species, provide a far simpler and more biologically representative approach to determine the timing of emigration.

RevDate: 2024-05-06
CmpDate: 2013-12-11

Hardisty A, Roberts D, Biodiversity Informatics Community, et al (2013)

A decadal view of biodiversity informatics: challenges and priorities.

BMC ecology, 13:16.

Biodiversity informatics plays a central enabling role in the research community's efforts to address scientific conservation and sustainability issues. Great strides have been made in the past decade establishing a framework for sharing data, where taxonomy and systematics has been perceived as the most prominent discipline involved. To some extent this is inevitable, given the use of species names as the pivot around which information is organised. To address the urgent questions around conservation, land-use, environmental change, sustainability, food security and ecosystem services that are facing Governments worldwide, we need to understand how the ecosystem works. So, we need a systems approach to understanding biodiversity that moves significantly beyond taxonomy and species observations. Such an approach needs to look at the whole system to address species interactions, both with their environment and with other species.It is clear that some barriers to progress are sociological, basically persuading people to use the technological solutions that are already available. This is best addressed by developing more effective systems that deliver immediate benefit to the user, hiding the majority of the technology behind simple user interfaces. An infrastructure should be a space in which activities take place and, as such, should be effectively invisible.This community consultation paper positions the role of biodiversity informatics, for the next decade, presenting the actions needed to link the various biodiversity infrastructures invisibly and to facilitate understanding that can support both business and policy-makers. The community considers the goal in biodiversity informatics to be full integration of the biodiversity research community, including citizens' science, through a commonly-shared, sustainable e-infrastructure across all sub-disciplines that reliably serves science and society alike.

RevDate: 2021-10-21
CmpDate: 2013-06-06

Tonk L, Bongaerts P, Sampayo EM, et al (2013)

SymbioGBR: a web-based database of Symbiodinium associated with cnidarian hosts on the Great Barrier Reef.

BMC ecology, 13:7.

BACKGROUND: The algal endosymbionts (genus Symbiodinium) associated with scleractinian corals (and other reef invertebrates) have received a lot of research attention in the past decade, particularly as certain host-symbiont associations appear more affected by increasing seawater temperatures than others. With the rapid accumulation of information on the diversity of Symbiodinium, it is becoming increasingly difficult to compare newly acquired Symbiodinium data with existing data to detect patterns of host-symbiont specificity on broader spatial scales. The lack of a general consensus on the classification of Symbiodinium species coupled with the variety of different markers used to identify the genus Symbiodinium (ITS1, ITS2, LSU D1/D2, chloroplast 23S rDNA and psbA minicircle) further complicate direct comparison.

DESCRIPTION: The SymbioGBR database compiles all currently available Symbiodinium sequences and associated host information of data collected from the Great Barrier Reef into a single relational database that is accessible via a user-friendly, searchable web-based application (http://www.SymbioGBR.org). SymbioGBR allows users to query Symbiodinium types or sequences sourced from various genetic markers (e.g. ITS1, ITS2, LSU D1/D2 and chloroplast 23S) and invertebrate host species to explore their reported associations. In addition, as the database includes sequence information of multiple genetic markers, it allows cross-referencing between conventional (e.g. ITS2 region) and novel markers that exhibit low intragenomic variability (e.g. psbA region). Finally, the database is based on the collection details of individual specimens. Such host-symbiont associations can be assessed quantitatively and viewed in relation to their environmental and geographic context.

CONCLUSIONS: The SymbioGBR database provides a comprehensive overview of Symbiodinium diversity and host-associations on the Great Barrier Reef. It provides a quick, user-friendly means to compare newly acquired data on Symbiodinium (e.g. raw sequences or characterized Symbiodinium types) with previous data on the diversity of invertebrate host-symbiont associations on the GBR. The inclusion of psbAncr sequence information allows for validation of widely used ITS1/ITS2 markers and their ability to accurately identify relevant sequences. Most importantly, centralization of sequence information from multiple genetic markers will aid the classification of Symbiodinium species diversity and allow researchers to easily compare patterns of host-Symbiodinium associations.

RevDate: 2024-03-21
CmpDate: 2013-04-22

Renaud AK, Savage J, SJ Adamowicz (2012)

DNA barcoding of Northern Nearctic Muscidae (Diptera) reveals high correspondence between morphological and molecular species limits.

BMC ecology, 12:24.

BACKGROUND: Various methods have been proposed to assign unknown specimens to known species using their DNA barcodes, while others have focused on using genetic divergence thresholds to estimate "species" diversity for a taxon, without a well-developed taxonomy and/or an extensive reference library of DNA barcodes. The major goals of the present work were to: a) conduct the largest species-level barcoding study of the Muscidae to date and characterize the range of genetic divergence values in the northern Nearctic fauna; b) evaluate the correspondence between morphospecies and barcode groupings defined using both clustering-based and threshold-based approaches; and c) use the reference library produced to address taxonomic issues.

RESULTS: Our data set included 1114 individuals and their COI sequences (951 from Churchill, Manitoba), representing 160 morphologically-determined species from 25 genera, covering 89% of the known fauna of Churchill and 23% of the Nearctic fauna. Following an iterative process through which all specimens belonging to taxa with anomalous divergence values and/or monophyly issues were re-examined, identity was modified for 9 taxa, including the reinstatement of Phaonia luteva (Walker) stat. nov. as a species distinct from Phaonia errans (Meigen). In the post-reassessment data set, no distinct gap was found between maximum pairwise intraspecific distances (range 0.00-3.01%) and minimum interspecific distances (range: 0.77-11.33%). Nevertheless, using a clustering-based approach, all individuals within 98% of species grouped with their conspecifics with high (>95%) bootstrap support; in contrast, a maximum species discrimination rate of 90% was obtained at the optimal threshold of 1.2%. DNA barcoding enabled the determination of females from 5 ambiguous species pairs and confirmed that 16 morphospecies were genetically distinct from named taxa. There were morphological differences among all distinct genetic clusters; thus, no cases of cryptic species were detected.

CONCLUSIONS: Our findings reveal the great utility of building a well-populated, species-level reference barcode database against which to compare unknowns. When such a library is unavailable, it is still possible to obtain a fairly accurate (within ~10%) rapid assessment of species richness based upon a barcode divergence threshold alone, but this approach is most accurate when the threshold is tuned to a particular taxon.

RevDate: 2021-10-21
CmpDate: 2013-04-22

Sherwood AR, Wang N, Carlile AL, et al (2012)

The Hawaiian Freshwater Algal Database (HfwADB): a laboratory LIMS and online biodiversity resource.

BMC ecology, 12:22.

BACKGROUND: Biodiversity databases serve the important role of highlighting species-level diversity from defined geographical regions. Databases that are specially designed to accommodate the types of data gathered during regional surveys are valuable in allowing full data access and display to researchers not directly involved with the project, while serving as a Laboratory Information Management System (LIMS). The Hawaiian Freshwater Algal Database, or HfwADB, was modified from the Hawaiian Algal Database to showcase non-marine algal specimens collected from the Hawaiian Archipelago by accommodating the additional level of organization required for samples including multiple species.

DESCRIPTION: The Hawaiian Freshwater Algal Database is a comprehensive and searchable database containing photographs and micrographs of samples and collection sites, geo-referenced collecting information, taxonomic data and standardized DNA sequence data. All data for individual samples are linked through unique 10-digit accession numbers ("Isolate Accession"), the first five of which correspond to the collection site ("Environmental Accession"). Users can search online for sample information by accession number, various levels of taxonomy, habitat or collection site. HfwADB is hosted at the University of Hawaii, and was made publicly accessible in October 2011. At the present time the database houses data for over 2,825 samples of non-marine algae from 1,786 collection sites from the Hawaiian Archipelago. These samples include cyanobacteria, red and green algae and diatoms, as well as lesser representation from some other algal lineages.

CONCLUSIONS: HfwADB is a digital repository that acts as a Laboratory Information Management System for Hawaiian non-marine algal data. Users can interact with the repository through the web to view relevant habitat data (including geo-referenced collection locations) and download images of collection sites, specimen photographs and micrographs, and DNA sequences. It is publicly available at http://algae.manoa.hawaii.edu/hfwadb/.

RevDate: 2024-03-20
CmpDate: 2011-12-05

Gonzalez SC, Soto-Centeno JA, DL Reed (2011)

Population distribution models: species distributions are better modeled using biologically relevant data partitions.

BMC ecology, 11:20.

BACKGROUND: Predicting the geographic distribution of widespread species through modeling is problematic for several reasons including high rates of omission errors. One potential source of error for modeling widespread species is that subspecies and/or races of species are frequently pooled for analyses, which may mask biologically relevant spatial variation within the distribution of a single widespread species. We contrast a presence-only maximum entropy model for the widely distributed oldfield mouse (Peromyscus polionotus) that includes all available presence locations for this species, with two composite maximum entropy models. The composite models either subdivided the total species distribution into four geographic quadrants or by fifteen subspecies to capture spatially relevant variation in P. polionotus distributions.

RESULTS: Despite high Area Under the ROC Curve (AUC) values for all models, the composite species distribution model of P. polionotus generated from individual subspecies models represented the known distribution of the species much better than did the models produced by partitioning data into geographic quadrants or modeling the whole species as a single unit.

CONCLUSIONS: Because the AUC values failed to describe the differences in the predictability of the three modeling strategies, we suggest using omission curves in addition to AUC values to assess model performance. Dividing the data of a widespread species into biologically relevant partitions greatly increased the performance of our distribution model; therefore, this approach may prove to be quite practical and informative for a wide range of modeling applications.

RevDate: 2021-10-20
CmpDate: 2008-01-25

Blundell AG, TV Burkey (2007)

A database of schemes that prioritize sites and species based on their conservation value: focusing business on biodiversity.

BMC ecology, 7:10.

BACKGROUND: Biodiversity offsets are conservation projects used mainly by business to counterbalance the environmental impacts of their operations, with the aim of achieving a net neutral or even beneficial outcome for biodiversity. Companies considering offsets need to know: (1) if there are areas of such biological importance that no impact is acceptable, and outside of these no-go areas, (2) the relative importance of biodiversity in the impacted site versus the site(s) proposed for protection, to ensure that the offset is of equal or greater status than that lost through the company's operations. We compiled a database of 40 schemes that use various methods to assess conservation priorities, and we examined if the schemes would allow companies to answer the above questions.

DESCRIPTION: Overall, schemes tend to be designed to guide conservation organizations in their own priority setting or they categorize species based on conservation status. Generally, the schemes do not provide all the necessary information for offsets because they operate at a broad spatial scale or with low spatial resolution, which make it difficult to assess sites at the project level. Furthermore, most schemes do not explicitly incorporate threat, which we consider key to assessing whether offsets protect habitats or species that would otherwise be lost (i.e., provide additionality). The schemes are useful, however, for identifying the major conservation issues in different ecosystems around the globe.

CONCLUSION: Companies can proceed by first avoiding, reducing, and mitigating impacts, and then using existing schemes to identify i) no-go areas and ii) appropriate offsets to compensate for any unavoidable loss in biodiversity. If existing schemes are inadequate, then companies should use integrated conservation planning techniques to define offset options within the region of their operations.

RevDate: 2024-03-15
CmpDate: 2007-01-10

Johnson K, Neville TB, P Neville (2006)

GIS habitat analysis for lesser prairie-chickens in southeastern New Mexico.

BMC ecology, 6:18.

BACKGROUND: We conducted Geographic Information System (GIS) habitat analyses for lesser prairie-chicken (LPCH, Tympanuchus pallidicinctus) conservation planning. The 876,799 ha study area included most of the occupied habitat for the LPCH in New Mexico. The objectives were to identify and quantify: 1. suitable LPCH habitat in New Mexico, 2. conversion of native habitats, 3. potential for habitat restoration, and 4. unsuitable habitat available for oil and gas activities.

RESULTS: We found 16% of suitable habitat (6% of the study area) distributed in 13 patches of at least 3,200 ha and 11% of suitable habitat (4% of the study area) distributed in four patches over 7,238 ha. The area converted from native vegetation types comprised 17% of the study area. Ninety-five percent of agricultural conversion occurred on private lands in the northeastern corner of the study area. Most known herbicide-related conversions (82%) occurred in rangelands in the western part of the study area, on lands managed primarily by the US Bureau of Land Management (BLM). We identified 88,190 ha (10% of the study area) of habitats with reasonable restoration potential. Sixty-two percent of the primary population area (PPA) contained occupied, suitable, or potentially suitable habitat, leaving 38% that could be considered for oil and gas development.

CONCLUSION: Although suitable LPCH habitat appears at first glance to be abundant in southeastern New Mexico, only a fraction of apparently suitable vegetation types constitute quality habitat. However, we identified habitat patches that could be restored through mesquite control or shin-oak reintroduction. The analysis also identified areas of unsuitable habitat with low restoration potential that could be targeted for oil and gas exploration, in lieu of occupied, high-quality habitats. Used in combination with GIS analysis and current LPCH population data, the habitat map represents a powerful conservation and management tool.

RevDate: 2025-03-15

Hartley GA, Okhovat M, Hoyt SJ, et al (2025)

Centromeric transposable elements and epigenetic status drive karyotypic variation in the eastern hoolock gibbon.

Cell genomics pii:S2666-979X(25)00064-3 [Epub ahead of print].

Great apes have maintained a stable karyotype with few large-scale rearrangements; in contrast, gibbons have undergone a high rate of chromosomal rearrangements coincident with rapid centromere turnover. Here, we characterize fully assembled centromeres in the eastern hoolock gibbon, Hoolock leuconedys (HLE), finding a diverse group of transposable elements (TEs) that differ from the canonical alpha-satellites found across centromeres of other apes. We find that HLE centromeres contain a CpG methylation centromere dip region, providing evidence that this epigenetic feature is conserved in the absence of satellite arrays. We uncovered a variety of atypical centromeric features, including protein-coding genes and mismatched replication timing. Further, we identify duplications and deletions in HLE centromeres that distinguish them from other gibbons. Finally, we observed differentially methylated TEs, topologically associated domain boundaries, and segmental duplications at chromosomal breakpoints, and thus propose that a combination of multiple genomic attributes with propensities for chromosome instability shaped gibbon centromere evolution.

RevDate: 2025-03-15
CmpDate: 2025-03-15

Mbuba E, Mañas-Chavernas N, Moore SJ, et al (2025)

Estimating the hole surface area of insecticide-treated nets using image analysis, manual hole counting and exact hole measurements.

Malaria journal, 24(1):82.

BACKGROUND: The physical integrity of insecticidal-treated nets (ITNs) is important for creating a barrier against host-seeking mosquitoes and, therefore, influences people's perception of the net's effectiveness and their willingness to use it. Monitoring the physical integrity of ITNs over time provides information for replenishment schedules and purchasing decisions. Currently, the assessment of physical integrity of ITNs is conducted by manually counting holes and estimating their size to class the net as functional or not. This approach is laborious to routinely conduct during field surveys of ITNs. Automated image analysis may provide a rapid assessment of the physical integrity of ITNs but it is not known if the images can capture sufficient information. As a first step, this study aimed to assess the agreement between estimated hole surface areas derived from (1) manually segmented images, (2) manual hole counting compared to (3) ground truth obtained by calibrated close-up shots of individual holes.

METHODS: The physical integrity of 75 ITNs purposely selected from an ongoing study was assessed by manual hole counting, image analysis and ground truth. For the image analysis, a graphical user interface was developed and used for the segmentation of holes visible in photographs taken from each side of the net. The hole surface area was then computed from this data. The agreement between the estimates from image analysis and manual hole counting was compared to the ground truth using the Bland-Altman method.

RESULTS: There was substantial agreement between the manually segmented image analysis estimates and the ground truth hole surface areas. The overall bias was small, with a mean ratio of the hole surface area from image analysis to the ground truth of 0.70, and the 95% limits of agreement ranging from 0.35 to 1.38. Manual hole counting underestimated the hole surface area compared to the ground truth, particularly among nets with holes above 10 cm in diameter.

CONCLUSION: Images coupled with manual segmentation contain sufficient information to calculate hole surface area. This lays the groundwork for incorporating automatic hole detection, and then assessing whether this method will offer a fast and objective method for routine assessment of physical integrity of ITNs. While the WHO method underestimated the hole surface area, it remains useful in classifying nets as either serviceable or too torn because the cut-off is specific to this method.

RevDate: 2025-03-14

Dong L, Mu L, X Huang (2025)

Exploring lipid remodeling and antioxidant responses in Chlorella pyrenoidosa exposed to streptomycin sulfate stress.

Food chemistry, 478:143565 pii:S0308-8146(25)00816-7 [Epub ahead of print].

Microalgae, particularly Chlorella pyrenoidosa, are valuable for bioactive compounds and biofuel production, but antibiotic use in large-scale cultivation can impact growth and biochemical productivity. This study examines the physiological and molecular responses of C. pyrenoidosa to streptomycin sulfate (STRS) stress. STRS exposure significantly reduced cell density (15.31 × 10[6] to 11.20 × 10[6] cells/mL, p < 0.001) and photosynthetic efficiency (Fv/fm from 0.45 to 0.15). Multi-omics analysis revealed a dual adaptive strategy: (1) activation of antioxidant defenses, including upregulated superoxide dismutase (SOD, 19-fold) and ascorbate peroxidase (APX, 32-fold); (2) lipid remodeling, with increased α-linolenic acid (ALA) content (17.43 % to 21.25 %, p < 0.001) due to β-oxidation downregulation. These findings enhance understanding of microalgal stress adaptation and highlight potential applications in biofuel and food/feed industries. Future studies should optimize genetic and cultivation strategies to enhance these adaptive traits while ensuring ecological sustainability.

RevDate: 2025-03-13
CmpDate: 2025-03-13

Tang Y, Hu H, Chen S, et al (2025)

Multi-omics analysis revealed the novel role of NQO1 in microenvironment, prognosis and immunotherapy of hepatocellular carcinoma.

Scientific reports, 15(1):8591.

NAD(P)H dehydrogenase quinone 1 (NQO1) is overexpressed in various cancers and is strongly associated with an immunosuppressive microenvironment and poor prognosis. In this study, we explored the role of NQO1 in the microenvironment, prognosis and immunotherapy of Hepatocellular carcinoma (HCC) using multi-omics analysis and machine learning. The results revealed that NQO1 was significantly overexpressed in HCC cells. NQO1[+]HCC cells were correlated with poor prognosis and facilitated tumor-associated macrophages (TAMs) polarization to M2 macrophages. We identified core NQO1-related genes (NRGs) and developed the NRGs-related risk-scores in hepatocellular carcinoma (NRSHC). The comprehensive nomogram integrating NRSHC, age, and pathological tumor-node-metastasis (pTNM) Stage achieved an area under the curve (AUC) above 0.7, demonstrating its accuracy in predicting survival outcomes and immunotherapy responses of HCC patients. High-risk patients exhibited worse prognoses but greater sensitivity to immunotherapy. Additionally, a web-based prediction tool was designed to enhance clinical utility. In conclusion, NQO1 may play a critical role in M2 polarization and accelerates HCC progression. The NRSHC model and accompanying tools offer valuable insights for personalized HCC treatment.

RevDate: 2025-03-13
CmpDate: 2025-03-13

Wei P, Song Y, Tian R, et al (2025)

CaecilianTraits, an individual level trait database of Caecilians worldwide.

Scientific data, 12(1):428.

Functional traits differ among species, which determine the ecological niche a species occupies and its ability to adapt to environment. However, differences in traits also exist at intraspecific level. Such variations shape differences in individual survival capabilities. Investigating intraspecific differences of functional traits is important for ecology, evolutionary biology and biodiversity conservation. Individual trait-based approaches have been applied in plant ecology. But for animals, most databases only provide data at the species level. In this study, we presented a global database of morphological traits for caecilians (Amphibia, Gymnophiona) at both species and individual level. Caecilians are a unique group of amphibians characterized by their secretive habits, which have limited our understanding of this taxon. We compiled the most comprehensive database covering 218 out of 222 known species, with 215 of them have individual level data. This database will facilitate research in the ecology, evolutionary biology, conservation biology, and taxonomy of caecilians. Furthermore, this dataset can be utilized to test ecological and evolutionary hypotheses at the individual level.

RevDate: 2025-03-13

Vršanský P, Sendi H, Kotulová J, et al (2025)

Jurassic Park approached: a coccid from Kimmeridgian cheirolepidiacean Aintourine Lebanese amber.

National science review, 12(3):nwae200.

With the exception of a fly and a mite from the Triassic of Italy, all Mesozoic amber arthropods are from the Cretaceous. Late Jurassic Lebanese amber from Aintourine revealed a completely preserved adult coccid male (wing length 0.8 mm), Jankotejacoccus libanogloria gen. et sp. n., the earliest record of a plant sucking scale insect. Associated plant material included the cheirolepidiaceans Protopodocarpoxylon, Brachyphyllum and Classostrobus, plus Classopolis pollen, suggesting a forested temporary swamp habitat with ferns, tree ferns, water ferns, tall araucarian and ginkgoacean trees and shrubs. (Sub)tropic lateritic soil with vegetation debris underwent incomplete microbial decomposition in an anoxic water environment of peat swamp development. Strata-associated marine organisms support the Kimmeridgian age revealed by zircons. The discovery opens a new field of research in Jurassic amber fossils.

RevDate: 2025-03-12
CmpDate: 2025-03-12

Pieroni A, Zocchi DM, Alrhmoun M, et al (2025)

Not "just necessity"? Two-x-eco-cultural dilemmas and the ethnobiological importance of the informal grannies' markets in Moldova.

Journal of ethnobiology and ethnomedicine, 21(1):17.

Informal food markets, particularly those managed by (elderly) women in post-communist Eastern Europe, represent a biocultural phenomenon of profound significance since globalisation and increasingly strict legal frameworks often threaten these reservoirs of biocultural food heritage. In the fall of 2022 and 2023, a preliminary field study was conducted by visiting the informal markets of six Moldovan centres: Chișinău, Orhei, Bălți, Călărași, Comrat, and Taraclia, and conversing with approximately 40 mid-aged and elderly sellers. We argue that these markets are crucial in sustaining small-scale farming, preserving biodiversity, and maintaining a connection between urban communities and rural communities and, ultimately, between these rural citizens and their nature, keeping small-scale family farming and domestic traditional gastronomic activities alive. By trading fresh, homegrown, and homemade food and goods (including handicrafts), these mid-aged and elderly vendors support local economies, promote environmental sustainability, and safeguard traditional ecological knowledge and cultural heritage. This paper explores how grannies' markets contribute to biocultural diversity and sustainable food practices, especially amid the country's recent turbulent political, socioeconomic, and demographic challenges. The analysis advocates for the survival rights of these ecological, economic, and cultural (2-x-eco-cultural) refugia and invites ethnobiologists, food studies and cultural heritage scholars, rural sociologists, and agricultural economists to defend the biocultural diversity of informal food markets, moving them from an "out of necessity" status to a solid pillar of a possible future, new, family farming and small-scale ecological and gastronomic (conscientious) tourism. Policymakers should protect and enhance these informal spaces, especially the socioecological farming systems behind them, as essential socioeconomic and environmental assets. They should emphasise their importance as hubs for biological diversity, cultural preservation, community cohesion, and ecological sustainability.

RevDate: 2025-03-11

Weeks F, Myerson R, Gangnon R, et al (2025)

Intrapartum Care Experiences Associated With Postpartum Visit Attendance.

Birth (Berkeley, Calif.) [Epub ahead of print].

INTRODUCTION: The postpartum visit is an important opportunity to prevent pregnancy-related morbidity and mortality; however, about 1 in 10 birthing people do not attend this visit. Intrapartum care experiences are an understudied factor that may contribute to postpartum healthcare engagement.

MATERIALS AND METHODS: We analyze data from a novel survey supplement on intrapartum care experiences administered to a probability-based population sample of people who have recently given birth through the Wisconsin Pregnancy Risk Assessment Monitoring System.

RESULTS: In regression models adjusting for a robust set of individual characteristics and birth hospital clustering, we find that lower provider responsiveness during intrapartum care is associated with increased odds of forgoing the postpartum visit (aOR 1.4, 95% CI 1.0-2.0).

DISCUSSION: The quality of care received during the birth hospitalization may shape how birthing people feel about health care providers and their willingness to attend future visits. Experiences of care during the intrapartum period may contribute to future health care utilization. Improving these experiences is an opportunity to promote long-term health.

RevDate: 2025-03-11
CmpDate: 2025-03-11

Roman J, Abraham AJ, Kiszka JJ, et al (2025)

Migrating baleen whales transport high-latitude nutrients to tropical and subtropical ecosystems.

Nature communications, 16(1):2125.

Baleen whales migrate from productive high-latitude feeding grounds to usually oligotrophic tropical and subtropical reproductive winter grounds, translocating limiting nutrients across ecosystem boundaries in their bodies. Here, we estimate the latitudinal movement of nutrients through carcasses, placentas, and urea for four species of baleen whales that exhibit clear annual migration, relying on spatial data from publicly available databases, present and past populations, and measurements of protein catabolism and other sources of nitrogen from baleen whales and other marine mammals. Migrating gray, humpback, and North Atlantic and southern right whales convey an estimated 3784 tons N yr[-1] and 46,512 tons of biomass yr[-1] to winter grounds, a flux also known as the "great whale conveyor belt"; these numbers might have been three times higher before commercial whaling. We discuss how species recovery might help restore nutrient movement by whales in global oceans and increase the resilience and adaptative capacity of recipient ecosystems.

RevDate: 2025-03-11
CmpDate: 2025-03-11

Crespo-Bellido A, Martin DP, S Duffy (2025)

Recombination Analysis of Geminiviruses Using Recombination Detection Program (RDP).

Methods in molecular biology (Clifton, N.J.), 2912:125-143.

Geminiviruses are recombination-prone, and characterizing this evolutionary process within their genomes is a frequent goal of researchers. RDP is a stand-alone Windows program combining many algorithms that detect and characterize recombination. It has been widely used by the geminivirus community (and beyond). Here we describe the use of RDP4 and RDP5 for analysis of geminiviral nucleotide sequences including: (i) obtaining a reasonable dataset for analysis, (ii) making a credible multiple sequence alignment and (iii) analyzing an alignment with RDP on that alignment. RDP to both characterize recombination events and to produce statistically recombination-free datasets for other molecular evolution analyses.

RevDate: 2025-03-10

Smith LB, Ahlich E, Lang B, et al (2025)

Glycemic variability and weight-focused eating behaviors among adolescents and young adults with type 1 diabetes†.

Journal of pediatric psychology pii:8068908 [Epub ahead of print].

OBJECTIVE: Type 1 diabetes (T1D) disease management and associated glycemic fluctuations can disrupt experiences of hunger and satiety, which may increase risk for disordered eating behaviors. Glycemic variability may be a useful trigger for just-in-time interventions for disordered eating behaviors. In this exploratory study, we hypothesized that two metrics of glycemic variability would be associated with greater hunger and predict eating behaviors for weight loss or maintenance in adolescents and young adults with T1D.

METHODS: Individuals with T1D were recruited from a university diabetes clinic (N = 34; 50% female, Mage = 19.53 years, MHbA1c = 7.98%; 29% Hispanic/Latinx; 79% White). Participants wore a blinded continuous glucose monitor for 5 days, and completed ecological momentary assessments (four prompts per day) that included measures of hunger and eating behaviors for weight loss or maintenance purposes. Generalized and linear mixed models were used to test hypotheses.

RESULTS: Approximately 30% of participants were at risk for an eating disorder based on Diabetes Eating Problem Survey-Revised scores. Greater glycemic variability did not predict hunger, but was associated with increased odds of endorsing any eating behavior for weight loss or maintenance purposes within-person (ps<.05). Greater hunger was associated with increased odds of endorsing disordered eating behavior within-person (p<.05).

CONCLUSIONS: This exploratory study provides some preliminary evidence that times of greater hunger and glycemic variability may be when individuals with T1D may be at higher risk of engaging in behaviors to lose or maintain weight.

RevDate: 2025-03-11
CmpDate: 2025-03-11

Li Z, Meng C, Azad MAK, et al (2025)

Effects of the Salvia miltiorrhiza, Ligustrum lucidum, and Taraxacum mongolicum ultra-fine powder formula on meat quality of aged layers by multi-omics.

Poultry science, 104(2):104783.

This study was aimed to identify the targets of 1% ultra-fine Chinese medicine formula (UCMF, 0.5% Salvia miltiorrhiza Bge. + 0.25% Ligustrum lucidum Ait. + 0.25% Taraxacum mongolicum Hand.-Mazz.) in delaying aging and explore its impacts on meat quality of aged layers. The effective components of the above three Chinese herbs were screened, and the network pharmacology analysis identified 91 common targets and enriched pathways between herbs and aging. The results showed that cellular response to chemical stimulus, response to oxidative stress, and response to oxygen-containing compound pathways were crucial for UCMF to resist aging. Further in vivo analyses confirmed that UCMF supplementation enhanced the antioxidant function in breast muscles of aged layers by upregulating (P < 0.05) the SOD2 gene expression. Meanwhile, UCMF supplementation reduced (P < 0.05) yellowness (b* value) and drip loss while enhancing (P < 0.05) cooked meat percentage of aged layers. For the health lipid indices in breast muscles, UCMF supplementation increased (P < 0.05) polyunsaturated fatty acids/saturated fatty acids and hypocholesterolemic/hypercholesterolemic ratios and decreased (P < 0.05) the thrombogenic index. The UCMF supplementation optimized the cecal microbiota of aged layers by enhancing the relative abundance of Firmicutes and reducing the relative abundances of Bacteroidetes and Spirochaetes (P < 0.05), which may be related to improving meat quality. In conclusion, dietary UCMF supplementation may be an effective strategy for improving antioxidant function and the meat quality of aged layers.

RevDate: 2025-03-11
CmpDate: 2025-03-11

Zhao X, Jiang WY, Liu JJ, et al (2025)

Unraveling the impact of PFOA toxicity on Zostera marina using a multi-omics approach: Insights from growth, physiological, transcriptomic, and metabolomic signatures.

Journal of hazardous materials, 486:137024.

Perfluorooctanoic acid (PFOA), an anthropogenic organic pollutant known for its persistence, resistance to degradation, and toxicity, has raised significant concerns about its potential ecological impacts. Zostera marina, a common submerged seagrass species in temperate offshore areas, is highly vulnerable to pollutant stressors. However, the impact of PFOA on Z. marina remains unclear. In this study, Z. marina was exposed to different concentrations of PFOA (0, 0.5, 1, 5, 10, and 20 μg/L) for 14 days. We subsequently assessed survival rates, growth patterns, physiological indices, transcriptomic profiles, and metabolomic characteristics. The results revealed dose-dependent PFOA accumulation in Z. marina tissues and significant growth inhibition. Furthermore, exposure to PFOA resulted in a significant reduction in photosynthetic pigment content (IBRv2 indices: 2.78-10.29) and elevated enzyme activity (IBRv2 indices: 2.90-8.96). Transcriptomic analysis identified 1511 differentially expressed genes associated with 11 KEGG pathways predominantly affected by PFOA exposure. Weighted gene co-expression network analysis highlighted the crucial role of the hydroxyphenylpyruvate reductase (hppr) gene in antioxidant defense mechanisms and detoxification processes against PFOA-induced stress. Metabolomics identified 412 differentially expressed metabolites, mainly consisting of flavonoids, organic acids, and lipids. In summary, PFOA exposure resulted in the down-regulation of gene expression related to photosynthesis and energy metabolism while also affecting metabolite synthesis. The response of Z. marina to PFOA stress involves modulation of the cytoskeletal dynamics and signal transduction pathways, as well as activation of a suite of genes and metabolites to initiate defense mechanisms.

RevDate: 2025-03-11
CmpDate: 2025-03-11

Zhang L, Du Y, Li Y, et al (2025)

Mitochondrial mechanism of florfenicol-induced nonalcoholic fatty liver disease in zebrafish using multi-omics technology.

Journal of hazardous materials, 486:136958.

Florfenicol (FF), a third-generation chloramphenicol antibiotic widely used in food-producing animals, has become a "pseudopersistent" environmental contaminant, raising concerns about its potential ecological and human health impacts. However, its bioaccumulation behavior and hepatotoxic mechanisms remain poorly understood. This study aims to address these gaps with a 28-day exposure experiment in adult zebrafish at 0.05 and 0.5 mg/L FF. Multiomic analyses (metabolomics, lipidomics, and transcriptomics), combined with histological and mitochondrial function assessments, were employed. Higher bioaccumulation was observed at 0.05 mg/L, potentially due to metabolic saturation at higher concentrations. Histological analysis revealed significant hepatic steatosis (>5 % steatosis area), indicative of moderate nonalcoholic fatty liver disease (NAFLD). Multiomic data demonstrated global dysregulation in energy metabolism, including marked alterations in lipids (accumulation of toxic sphingolipids, excessive fatty acids, and acylglycerol), amino acids, tricarboxylic acid cycle intermediates, and nucleotides. Crucially, mitochondrial dysfunction was identified as a central mechanism, with impaired respiratory chain activities, adenosine triphosphate depletion, elevated reactive oxygen species, and oxidative stress promoting NAFLD progression. These findings highlight mitochondrial impairment and oxidative stress as key drivers of FF-induced hepatotoxicity, providing novel insights into its toxicological mechanisms and emphasizing the ecological risks posed by antibiotic pollution in aquatic systems.

RevDate: 2025-03-10

Boyes D, Davis J, University of Oxford and Wytham Woods Genome Acquisition Lab, et al (2025)

The genome sequence of the Sandy Carpet moth, Perizoma flavofasciatum (Thunberg, 1792).

Wellcome open research, 10:40.

We present a genome assembly from a male specimen of Perizoma flavofasciatum (Sandy Carpet; Arthropoda; Insecta; Lepidoptera; Geometridae). The genome sequence has a total length of 369.30 megabases. Most of the assembly (99.88%) is scaffolded into 30 chromosomal pseudomolecules, including the Z sex chromosome. The mitochondrial genome has also been assembled and is 16.61 kilobases in length. Gene annotation of this assembly on Ensembl identified 11,915 protein-coding genes.

RevDate: 2025-03-10

Boyes D, Boyes C, University of Oxford and Wytham Woods Genome Acquisition Lab, et al (2025)

The genome sequence of the Alder Moth, Acronicta alni (Linnaeus, 1767).

Wellcome open research, 10:68.

We present a genome assembly from a male Acronicta alni (Alder Moth; Arthropoda; Insecta; Lepidoptera; Noctuidae). The assembly contains two haplotypes with total lengths of 470.37 megabases and 472.86 megabases. Most of haplotype 1 (98.95%) is scaffolded into 31 chromosomal pseudomolecules, including the Z chromosome. Haplotype 2 was assembled to scaffold level. The mitochondrial genome has also been assembled and is 15.38 kilobases in length.

RevDate: 2025-03-10
CmpDate: 2025-03-10

Ab Kadir MA, Abdul Manaf R, Mokhtar SA, et al (2025)

Identifying leptospirosis hotspots in Selangor: uncovering climatic connections using remote sensing and developing a predictive model.

PeerJ, 13:e18851.

BACKGROUND: Leptospirosis is an endemic disease in countries with tropical climates such as South America, Southern Asia, and Southeast Asia. There has been an increase in leptospirosis incidence in Malaysia from 1.45 to 25.94 cases per 100,000 population between 2005 and 2014. With increasing incidence in Selangor, Malaysia, and frequent climate change dynamics, a study on the disease hotspot areas and their association with the hydroclimatic factors could enhance disease surveillance and public health interventions.

METHODS: This ecological cross-sectional study utilised a geographic information system (GIS) and remote sensing techniques to analyse the spatiotemporal distribution of leptospirosis in Selangor from 2011 to 2019. Laboratory-confirmed leptospirosis cases (n = 1,045) were obtained from the Selangor State Health Department. Using ArcGIS Pro, spatial autocorrelation analysis (Moran's I) and Getis-Ord Gi* (hotspot analysis) was conducted to identify hotspots based on the monthly aggregated cases for each subdistrict. Satellite-derived rainfall and land surface temperature (LST) data were acquired from NASA's Giovanni EarthData website and processed into monthly averages. These data were integrated into ArcGIS Pro as thematic layers. Machine learning algorithms, including support vector machine (SVM), Random Forest (RF), and light gradient boosting machine (LGBM) were employed to develop predictive models for leptospirosis hotspot areas. Model performance was then evaluated using cross-validation and metrics such as accuracy, precision, sensitivity, and F1-score.

RESULTS: Moran's I analysis revealed a primarily random distribution of cases across Selangor, with only 20 out of 103 observed having a clustered distribution. Meanwhile, hotspot areas were mainly scattered in subdistricts throughout Selangor with clustering in the central region. Machine learning analysis revealed that the LGBM algorithm had the best performance scores compared to having a cross-validation score of 0.61, a precision score of 0.16, and an F1-score of 0.23. The feature importance score indicated river water level and rainfall contributes most to the model.

CONCLUSIONS: This GIS-based study identified a primarily sporadic occurrence of leptospirosis in Selangor with minimal spatial clustering. The LGBM algorithm effectively predicted leptospirosis hotspots based on the analysed hydroclimatic factors. The integration of GIS and machine learning offers a promising framework for disease surveillance, facilitating targeted public health interventions in areas at high risk for leptospirosis.

RevDate: 2025-03-07
CmpDate: 2025-03-07

Guerrero PC, Contador T, Díaz A, et al (2025)

Southern Islands Vascular Flora (SIVFLORA) dataset: A global plant database from Southern Ocean islands.

Scientific data, 12(1):397.

The Southern Islands Vascular Flora (SIVFLORA) dataset is a globally significant, open-access resource that compiles essential biodiversity data on vascular plants from islands across the Southern Ocean. The SIVFLORA dataset was generated through five steps: study area delimitation, compiling the dataset, validating and harmonizing taxonomy, structuring dataset attributes, and establishing file format and open access. Covering major taxonomic divisions, SIVFLORA offers a comprehensive overview of plant occurrences, comprising 14,589 records representing 886 species, 95 families, and 42 orders. This dataset documents that 58.62% of the taxa are native, 9.61% are endemic, and 31.77% are alien species. The Falkland/Malvinas Archipelago, the most species-rich, contrast sharply with less diverse islands like the South Orkney Archipelago. SIVFLORA serves as a taxonomically harmonized, interoperable resource for investigating plant diversity patterns, ecosystem responses to climate change in extreme environments, island biogeography, endemism, and the effects of anthropogenic pressures on Southern Ocean flora.

RevDate: 2025-03-07
CmpDate: 2025-03-07

Ferrer-Paris JR, Sánchez-Mercado A, Cornwell WK, et al (2025)

Fire ecology database for documenting plant responses to fire events in Australia.

Scientific data, 12(1):399.

An understanding of fire-response traits is essential for predicting how fire regimes structure plant communities and for informing fire management strategies for biodiversity conservation. Quantification of these traits is complex, encompassing several levels of data abstraction scaling up from field observations of individuals, to general categories of species responses. We developed the Fire Ecology Database to accommodate this complexity. Its conceptual framework is underpinned by a flexible data pipeline enabling links between fire-related trait data and event information at individual, population, and community levels. Key features include: (a) concise and documented trait and method vocabularies; (b) documented uncertainty in observations and aggregation; and (c) documented origin of data including field observations, laboratory experiments, and expert elicitation. We demonstrated application of our framework using data from new field surveys and existing data sets in New South Wales, Australia. The database includes 14 traits for 6,287 plant species derived from 8,936 field work records from 2007 to 2018, 7,054 field records from surveys after 2019, and 48,306 records from 301 existing sources.

RevDate: 2025-03-07

Guarischi M, Montagnani E, Catalano G, et al (2025)

From motion to interaction: How multisensory information shapes motor behaviors in children with visual impairment.

Research in developmental disabilities, 159:104956 pii:S0891-4222(25)00040-X [Epub ahead of print].

BACKGROUND: The ability to move independently enables children to develop perceptual, cognitive, and social interaction skills. Concerning this, vision holds a key role. As a result, children with visual impairment (VI) might be more challenged in their ability to move within their surroundings and interact with their caregivers.

AIM: This study investigated whether the use of multisensory stimuli could influence the motor exploration of children with VI and shape their interaction with the caregivers. For this, the present work examined the variability of children's motor trajectory and the distance between children and caregivers in a setting with and without multisensory cues.

METHODS AND PROCEDURES: A Motion Capture System was used within an ecological playroom environment. The Strange Situation paradigm was simplified and adapted by placing three TechARMs in the corners of the playroom to deliver audio-visual stimuli, used instead of the stranger.

OUTCOMES AND RESULTS: Children with VI showed larger variability within their motor trajectory and kept a shorter distance from the caregivers when multisensory cues were introduced in the playroom.

CONCLUSIONS AND IMPLICATIONS: Multisensory signals were considered unusual and influenced the kinematic parameters. Motor control of the environment was achieved by managing attention flexibility. WHAT DOES THIS PAPER ADD?: This study enriches available evidence about the study of motor and social interaction in children with VI, highlighting how multisensory stimuli could either support or hinder social and motor behaviors. Moreover, enhancing ecological validity could drive progress in the development and application of technological devices to clinical and research setting.

RevDate: 2025-03-08
CmpDate: 2025-03-06

Agyapong D, Propster JR, Marks J, et al (2025)

Cross-validation for training and testing co-occurrence network inference algorithms.

BMC bioinformatics, 26(1):74.

BACKGROUND: Microorganisms are found in almost every environment, including soil, water, air and inside other organisms, such as animals and plants. While some microorganisms cause diseases, most of them help in biological processes such as decomposition, fermentation and nutrient cycling. Much research has been conducted on the study of microbial communities in various environments and how their interactions and relationships can provide insight into various diseases. Co-occurrence network inference algorithms help us understand the complex associations of micro-organisms, especially bacteria. Existing network inference algorithms employ techniques such as correlation, regularized linear regression, and conditional dependence, which have different hyper-parameters that determine the sparsity of the network. These complex microbial communities form intricate ecological networks that are fundamental to ecosystem functioning and host health. Understanding these networks is crucial for developing targeted interventions in both environmental and clinical settings. The emergence of high-throughput sequencing technologies has generated unprecedented amounts of microbiome data, necessitating robust computational methods for network inference and validation.

RESULTS: Previous methods for evaluating the quality of the inferred network include using external data, and network consistency across sub-samples, both of which have several drawbacks that limit their applicability in real microbiome composition data sets. We propose a novel cross-validation method to evaluate co-occurrence network inference algorithms, and new methods for applying existing algorithms to predict on test data. Our method demonstrates superior performance in handling compositional data and addressing the challenges of high dimensionality and sparsity inherent in real microbiome datasets. The proposed framework also provides robust estimates of network stability.

CONCLUSIONS: Our empirical study shows that the proposed cross-validation method is useful for hyper-parameter selection (training) and comparing the quality of inferred networks between different algorithms (testing). This advancement represents a significant step forward in microbiome network analysis, providing researchers with a reliable tool for understanding complex microbial interactions. The method's applicability extends beyond microbiome studies to other fields where network inference from high-dimensional compositional data is crucial, such as gene regulatory networks and ecological food webs. Our framework establishes a new standard for validation in network inference, potentially accelerating discoveries in microbial ecology and human health.

RevDate: 2025-03-07
CmpDate: 2025-03-07

Bougiouri K (2025)

Mind the Gap: A Neural Network Framework for Imputing Genotypes in Non-Model Species.

Molecular ecology resources, 25(3):e14066.

Reduced representation sequencing (RRS) has proven to be a cost-effective solution for sequencing subsets of the genome in non-model species for large-scale studies. However, the targeted nature of RRS approaches commonly introduces large amounts of missing data, leading to reduced statistical power and biased estimates in downstream analyses. Genotype imputation, the statistical inference of missing sites across the genome, is a powerful alternative to overcome the caveats associated with missing sites. Typically, genotype imputation requires the presence of a reference panel of haplotypes, however, this is not always feasible for non-model species. In this issue of Molecular Ecology Resources, Mora-Márquez et al. (2024) develop gtImputation, an unsupervised machine learning imputation tool with an interactive GUI, which leverages information from the underlying data structure itself, without the need for a reference panel. They showcase that their method performs equally well and even surpasses existing haplotype-clustering and unsupervised machine learning algorithms, particularly for sites with low minor allele frequency (MAF) and for data sets with strong underlying population structure. This innovative framework adds to the ongoing efforts to expand the applicability of imputation to non-model species, offering the opportunity to apply varied types of analyses requiring dense sets of markers, while also maintaining lower sequencing costs.

RevDate: 2025-03-07
CmpDate: 2025-03-07

Bard NW, Davies TJ, QCB Cronk (2025)

Teknonaturalist: A Snakemake Pipeline for Assessing Fungal Diversity From Plant Genome Bycatch.

Molecular ecology resources, 25(3):e14056.

Relatively little is known of the host associations and compatibility of fungal plant pathogens and endophytes. Publicly available plant genomic DNA can be mined to detect incidental fungal DNA, but taxonomic assignment can be challenging due to short lengths and variable discriminative power among different genomic regions and taxa. Here, we introduce a computationally lightweight and accessible Snakemake pipeline for rapid detection and classification (identification and assignment to taxonomic rank) of pathogenic and endophytic fungi (and other fungi associated with plants) that targets the internal transcribed spacer (ITS) region, a fungal barcode standard. We include methods for maximising query sequence length, which gives higher support for ITS1 and ITS2 taxonomic classifications by extending to other fragments of the ITS region and providing taxon-specific local cut-off and confidence scores. We demonstrate our pipeline with a case study using public genomic sequence data for six diverse plant species, including four species within Betula, an ecologically and economically important broadleaved forest tree genus, a shrub and a grass. Our pipeline classified fungi within minutes to a few hours per host individual, with 204 different fungal genera identified at high confidence (≥ 70%). Our pipeline detected and classified pathogenic and endophytic genera known to associate with Betula, and many others with no prior record of association. Our pipeline, leveraging existing sequence data, has several potential applications, including detecting cryptic fungal pathogens and helping characterise the endophytic fungal microbiome, bioprospecting commercially useful fungal species, and determining the plant host range of fungi.

RevDate: 2025-03-07
CmpDate: 2025-03-07

Armstrong EE, Li C, Campana MG, et al (2025)

A Pipeline and Recommendations for Population and Individual Diagnostic SNP Selection in Non-Model Species.

Molecular ecology resources, 25(3):e14048.

Despite substantial reductions in the cost of sequencing over the last decade, genetic panels remain relevant due to their cost-effectiveness and flexibility across a variety of sample types. In particular, single nucleotide polymorphism (SNP) panels are increasingly favoured for conservation applications. SNP panels are often used because of their adaptability, effectiveness with low-quality samples, and cost-efficiency for population monitoring and forensics. However, the selection of diagnostic SNPs for population assignment and individual identification can be challenging. The consequences of poor SNP selection are under-powered panels, inaccurate results, and monetary loss. Here, we develop a novel and user-friendly SNP selection pipeline (mPCRselect) that can be used to select SNPs for population assignment and/or individual identification. mPCRselect allows any researcher, who has sufficient SNP-level data, to design a successful and cost-effective SNP panel for a diploid species of conservation concern.

RevDate: 2025-03-07
CmpDate: 2025-03-07

Beemelmanns A, Bouchard R, Michaelides S, et al (2025)

Development of SNP Panels from Low-Coverage Whole Genome Sequencing (lcWGS) to Support Indigenous Fisheries for Three Salmonid Species in Northern Canada.

Molecular ecology resources, 25(3):e14040.

Single nucleotide polymorphism (SNP) panels are powerful tools for assessing the genetic population structure and dispersal of fishes and can enhance management practices for commercial, recreational and subsistence mixed-stock fisheries. Arctic Char (Salvelinus alpinus), Brook Trout (Salvelinus fontinalis) and Lake Whitefish (Coregonus clupeaformis) are among the most harvested and consumed fish species in Northern Indigenous communities in Canada, contributing significantly to food security, culture, tradition and economy. However, genetic resources supporting Indigenous fisheries have not been widely accessible to northern communities (e.g. Inuit, Cree, Dene). Here, we developed Genotyping-in-Thousands by sequencing (GT-seq) panels for population assignment and mixed-stock analyses of three salmonids, to support fisheries stewardship or co-management in Northern Canada. Using low-coverage Whole Genome Sequencing data from 418 individuals across source populations in Cambridge Bay (Nunavut), Great Slave Lake (Northwest Territories), James Bay (Québec) and Mistassini Lake (Québec), we developed a bioinformatic SNP filtering workflow to select informative SNP markers from genotype likelihoods. These markers were then used to design GT-seq panels, thus enabling high-throughput genotyping for these species. The three GT-seq panels yielded an average of 413 autosomal loci and were validated using 525 individuals with an average assignment accuracy of 83%. Thus, these GT-seq panels are powerful tools for assessing population structure and quantifying the relative contributions of populations/stocks in mixed-stock fisheries across multiple regions. Interweaving genomic data derived from these tools with Traditional Ecological Knowledge will ensure the sustainable harvest of three culturally important salmonids in Indigenous communities, contributing to food security programmes and the economy in Northern Canada.

RevDate: 2025-03-07
CmpDate: 2025-03-07

Li J, Gao Y, Shu G, et al (2025)

HMicroDB: A Comprehensive Database of Herpetofaunal Microbiota With a Focus on Host Phylogeny, Physiological Traits, and Environment Factors.

Molecular ecology resources, 25(3):e14046.

Symbiotic microbiota strongly impact host physiology. Amphibians and reptiles occupy a pivotal role in the evolutionary history of Animalia, and they are of significant ecological, economic, and scientific value. Many prior studies have found that symbiotic microbiota in herpetofaunal species are closely associated with host phylogeny, physiological traits, and environmental factors; however, insufficient integrated databases hinder researchers from querying, accessing, and reanalyzing these resources. To rectify this, we built the first herpetofaunal microbiota database (HMicroDB; https://herpdb.com/) that integrates 11,697 microbiological samples from 337 host species (covering 23 body sites and associated with 23 host phenotypic or environmental factors), and we identified 11,084 microbial taxa by consistent annotation. The standardised analysis process, cross-dataset integration, user-friendly interface, and interactive visualisation make the HMicroDB a powerful resource for researchers to search, browse, and explore the relationships between symbiotic microbiota, hosts, and environment. This facilitates research in host-microbiota coevolution, biological conservation, and resource utilisation.

RevDate: 2025-03-05

Aguirre-Gutiérrez J, Rifai SW, Deng X, et al (2025)

Canopy functional trait variation across Earth's tropical forests.

Nature [Epub ahead of print].

Tropical forest canopies are the biosphere's most concentrated atmospheric interface for carbon, water and energy[1,2]. However, in most Earth System Models, the diverse and heterogeneous tropical forest biome is represented as a largely uniform ecosystem with either a singular or a small number of fixed canopy ecophysiological properties[3]. This situation arises, in part, from a lack of understanding about how and why the functional properties of tropical forest canopies vary geographically[4]. Here, by combining field-collected data from more than 1,800 vegetation plots and tree traits with satellite remote-sensing, terrain, climate and soil data, we predict variation across 13 morphological, structural and chemical functional traits of trees, and use this to compute and map the functional diversity of tropical forests. Our findings reveal that the tropical Americas, Africa and Asia tend to occupy different portions of the total functional trait space available across tropical forests. Tropical American forests are predicted to have 40% greater functional richness than tropical African and Asian forests. Meanwhile, African forests have the highest functional divergence-32% and 7% higher than that of tropical American and Asian forests, respectively. An uncertainty analysis highlights priority regions for further data collection, which would refine and improve these maps. Our predictions represent a ground-based and remotely enabled global analysis of how and why the functional traits of tropical forest canopies vary across space.

RevDate: 2025-03-06

Zhang J, Qian H, X Wang (2025)

An online version and some updates of R package U.Taxonstand for standardizing scientific names in plant and animal species.

Plant diversity, 47(1):166-168.

•We present 'U.Taxonstand Online', a user-friendly web application for scientific name matching of both plants and animals.•U.Taxonstand Online provides a solution for the users with limited abilities of programming and data mining.•We add several new functions to clean and format the data for R package U.Taxonstand.

RevDate: 2025-03-04
CmpDate: 2025-03-04

Chen Y, Chen S, Tao J, et al (2025)

Multi-omic stock of surface ocean microbiome built by monthly, weekly and daily sampling in Dapeng Bay, China.

Scientific data, 12(1):378.

The coastal ocean is the dynamic interface where terrestrial, atmospheric, and marine systems converge, acting as a hotspot for microbial activity, which underpins the intricate web of carbon and nitrogen cycling. Dapeng Bay, a typical semi-enclosed bay along the southern coastline of China, is strongly influenced by monsoon climates and human activities. Despite its ecological importance, long-term observations and investigations into the microbial community structure in this region are notably lacking. To address this gap, we conducted a two-year continuous sampling from May 2021 to June 2023 to explore shifts in nearshore surface microbial communities and assess the long-term effects of environmental stressors. This study presents comprehensive amplicon, metagenomic, and metatranscriptomic information. We identified 3,600 amplicon sequence variants and recovered 1,216 high-quality metagenome-assembled MAGs, representing 17 bacterial and 3 archaeal phyla. Additionally, 587 MAGs were correlated with transcriptional activity, comprising 539 bacterial and 48 archaeal populations. This dataset is anticipated to provide a multi-dimensional perspective, enhancing our understanding of the complexity, dynamics, and adaptability of microbial communities in coastal environments.

RevDate: 2025-03-05

Edwards SV, Fang B, Khost D, et al (2025)

Comparative population pangenomes reveal unexpected complexity and fitness effects of structural variants.

bioRxiv : the preprint server for biology.

Structural variants (SVs) are widespread in vertebrate genomes, yet their evolutionary dynamics remain poorly understood. Using 45 long-read de novo genome assemblies and pangenome tools, we analyze SVs within three closely related species of North American jays (Aphelocoma, scrub-jays) displaying a 60-fold range in effective population size. We find rapid evolution of genome architecture, including ~100 Mb variation in genome size driven by dynamic satellite landscapes with unexpectedly long (> 10 kb) repeat units and widespread variation in gene content, influencing gene expression. SVs exhibit slightly deleterious dynamics modulated by variant length and population size, with strong evidence of adaptive fixation only in large populations. Our results demonstrate how population size shapes the distribution of SVs and the importance of pangenomes to characterizing genomic diversity.

RevDate: 2025-03-04

Veneros J, Hansen AJ, Jantz P, et al (2025)

Analysis of changes in temperature and precipitation in South American countries and ecoregions: Comparison between reference conditions and three representative concentration pathways for 2050.

Heliyon, 11(4):e42459.

Climate change is a global concern, and its impact on environmental variables such as temperature and annual precipitation is unknown spatially in the desert, andes, and rainforest ecoregions of Peru, Ecuador, and Colombia. In this study, we conducted a general review of climate drivers for South America (SA) and explored climate data using the GCM compareR package (General Circulation Models) and average ensembles for temperature and precipitation. Our results showed that all GCMs demonstrated increases in the annual mean temperature (BIO1) and in the mean temperature of the driest quarter (BIO9) for Peru, Ecuador, and Colombia for 2050 in three RCPs (2.6, 4.5, and 8.5). Also, most of the GCMs showed increases in the annual precipitation (BIO12) and the precipitation in the driest quarter (BIO17). We conducted non-parametric tests (Kruskal-Wallis Test) to assess if the medians of temperature and precipitation in the three ecoregions are equal for both the baseline and the climate change scenarios. We rejected the null hypothesis that the medians are equal for both temperatures and precipitation in the baseline vs. 2050 RCPs (2.6, 4.5, and 8.5). A spatial analysis was conducted to visualize the variations in temperature and precipitation between the RCPs versus the baseline, and the spatial variation at the country or ecoregion level can be observed. The annual mean temperature (°C) or annual precipitation (mm) divided by its standard deviation for each ecoregion (M metric) was analyzed to see how much the average temperature or the annual precipitation is relatively large compared to the variability or dispersion of temperatures or precipitation respectively; the average temperature and the annual precipitation for the baseline and the three RCPs are relatively large and associated with the variability or dispersion of their temperatures in the Napo moist forest compared to the other ecoregions. Our study provides important insights into the potential impacts of climate change on these ecosystems. Prospects in the Napo moist forest ecoregion, where significant changes in temperature and humidity have already occurred, and new species have invaded or evolved in the western Amazon rainforest, are particularly highlighted and reflected in terms of risk mitigation, ecosystem restoration, surveillance, and monitoring.

RevDate: 2025-03-04
CmpDate: 2025-03-04

Gorné LD, Hendry AP, Pelletier F, et al (2025)

PROCEED v6.1: Phenotypic rates of change evolutionary and ecological database.

Ecology, 106(3):e70009.

Populations must continuously respond to environmental change or risk extinction. These responses can be measured as phenotypic rates of change, which allow researchers to predict their contemporary evolutionary responses. In 1999, a database of phenotypic rates of change in wild populations was compiled. Since then, researchers have used (and expanded) this database to examine the phenotypic responses as a function of the features of the study system (i.e., the population or set of populations, of a given species, that experienced a specific driver or disturbance), the measured traits, and methodological approaches. Therefore, PROCEED (Phenotypic Rates of Change Evolutionary and Ecological Database) is an ongoing compilation of rates of phenotypic change, typically calculated as Haldanes and Darwins, published in peer-reviewed literature (but also including data from theses and technical reports). Studies in this database measure the intraspecific change in quantitative (continuous or discrete) traits and report either the time elapsed from the onset of environmental novelty, or reference a historical or biological event reported in other sources (e.g., a mine opening or a well-documented biological invasion). Included studies either follow a single population through time (allochronic design) or compare two or more populations that diverged at a known time (synchronic design). Some included studies account for the total phenotypic variability in the field (i.e., phenotypic studies), while others employed common-garden or other quantitative genetic approaches to account for the heritable component of the phenotypic change (i.e., genetic studies). PROCEED includes systems in both natural and experimental conditions, provided that reproduction was not manipulated (i.e., artificial selection experiments were excluded). In the included experimental systems, the environment of the focal populations was manipulated (e.g., an herbivory exclusion experiment, where the type and load of herbivory are manipulated) but the studies did not deliberately select for trait values in the study population (e.g., the plant height). PROCEED does not include systems where the phenotypic change is presumably due to interspecific hybridization, polyploidy, or other chromosomal alterations. Here, we present the most recently updated PROCEED (Version 6.1). This new, curated version has 9263 records (n) collated from 326 studies, 1801 systems, and 428 species. The database includes records belonging to mammals (n = 686), birds (n = 1475), reptiles (n = 96), amphibians (n = 23), fishes (n = 3671), invertebrates (n = 1141, mostly arthropods), and plants (n = 2171). The maximum elapsed time between the environmental change and the sampling is 500 years but is typically less than 100 years (third quartile 89.5; median 45 years). The database also includes a set of variables describing biological and methodological aspects of the study system and measured traits, along with features of the sampling design in the primary source of information. This new version of PROCEED also includes a time series dataset comprising a subset of records included in the general dataset. These are allochronic studies with three or more sampling times throughout the entire study period. The time series dataset contains 655 time series (s)-belonging to 61 studies, from 156 systems, and 77 species-including mammals (s = 140), birds (s = 77), reptiles (s = 4), amphibians (s = 8), fishes (s = 404), and plants (s = 22). The data are released under a Creative Commons CC0 1.0 Universal Public Domain Dedication license.

RevDate: 2025-03-04
CmpDate: 2025-03-03

Dietrich SW, Ma W, Ding Y, et al (2024)

MOTHER-DB: A Database for Sharing Nonhuman Ovarian Histology Images.

IEEE/ACM transactions on computational biology and bioinformatics, 21(6):2598-2603.

The goal of the Multispecies Ovary Tissue Histology Electronic Repository (MOTHER) project is to establish a collection of nonhuman ovary histology images for multiple species as a resource for researchers and educators. An important component of sharing scientific data is the inclusion of the contextual metadata that describes the data. MOTHER extends the Ecological Metadata Language (EML) for documenting research data, leveraging its data provenance and usage license with the inclusion of metadata for ovary histology images. The design of the MOTHER metadata includes information on the donor animal, including reproductive cycle status, the slide and its preparation. MOTHER also extends the ezEML tool, called ezEML+MOTHER, for the specification of the metadata. The design of the MOTHER database (MOTHER-DB) captures the metadata about the histology images, providing a searchable resource for discovering relevant images. MOTHER also defines a curation process for the ingestion of a collection of images and its metadata, verifying the validity of the metadata before its inclusion in the MOTHER collection. A Web search provides the ability to identify relevant images based on various characteristics in the metadata itself, such as genus and species, using filters.

RevDate: 2025-03-03
CmpDate: 2025-03-03

Jin J, Zhang R, Li J, et al (2025)

The NAE1-mediated neddylation operates as an essential post-translational modification checkpoint for effector CD8[+] T cells.

Proceedings of the National Academy of Sciences of the United States of America, 122(10):e2424061122.

Optimal activation of CD8+ T cells is crucial for immunity-mediated destruction of cancer, requiring a substantial amount of proteins involved in metabolism, proliferation, and effector function. Despite extensive studies emphasizing the role of transcriptional regulation in this process, paired transcriptomic and proteomic analyses reveal that the RNA profile is poorly correlated with protein levels. This discrepancy underscores the importance of post-translational modifications (PTMs) in controlling protein abundance during activation. However, the impact of PTMs on the CD8+ T cell protein dynamic remains underexplored. We identify that neddylation, a recently discovered PTM, is activated in response to T cell receptor (TCR) stimulation and enriched in effector CD8+ T cells from colon cancer patients. Mechanistically, we found the rate-limiting enzyme of neddylation, neural precursor cell expressed developmentally down-regulated protein 8 activating enzyme E1 (NAE1), is induced by the NFATc1, a critical transcription factor downstream of TCR signaling. Our observation revealed that genetic ablation of NAE1 significantly disturbed the proteomic landscape related to activation and mitochondrial function. As a result, CD8+ T cells lacking NAE1 exhibited severely compromised activation, proliferation, and survival, which was accompanied by impaired mitochondrial function. Consistently, deletion of NAE1 in CD8+ T cells abolished their antitumor function and promoted tumor progression. By contrast, the overexpression of NAE1 significantly improved the function of tumor-infiltrating CD8+ T cells. Overall, we uncovered neddylation, a previously underappreciated PTM, as a proteomic checkpoint for CD8+ T cell activation. Enforced expression of NAE1 offers promising therapeutic potential for boosting the antitumor CD8+ T cell responses.

RevDate: 2025-03-03
CmpDate: 2025-03-03

Zhang J, Wang Q, Gao H, et al (2025)

Ecological suitability distribution of hop based on MaxEnt modeling.

Environmental monitoring and assessment, 197(4):346.

Hop has been widely utilized in both food production and traditional medicine owing to their distinctive flavor and various pharmacological effects. In recent years, the increasing demand for hop has led to their cultivation in many regions across China. However, hops require specific ecological conditions, including climate, soil, precipitation, and temperature, which significantly affect their distribution and growth. To facilitate the standardization and scientific cultivation of hops, it is essential to clarify the distribution of their ecological suitability. In this study, we collected data from 95 hops distribution locations and 115 ecological factors to determine the areas suitable for hops cultivation using the Maximum Entropy (MaxEnt) model and Geographic Information System (GIS). The highly suitable areas are primarily located in the northwestern part of the Xinjiang Uygur Autonomous Region, the eastern part of Gansu Province, Shaanxi Province, the southwestern part of Shanxi Province, and parts of Ningxia Hui Autonomous Region and Yunnan Province. These findings provide valuable guidance for the scientific cultivation of hops, ensuring the efficient use of ecological resources and promoting sustainable cultivation practices.

RevDate: 2025-03-03
CmpDate: 2025-03-03

Eisaguirre JM, Lohman MG, Frye GG, et al (2025)

Estimating Spatially Explicit Survival and Mortality Risk From Telemetry Data With Thinned Point Process Models.

Ecology letters, 28(3):e70092.

Mortality risk for animals often varies spatially and can be linked to how animals use landscapes. While numerous studies collect telemetry data on animals, the focus is typically on the period when animals are alive, even though there is important information that could be gleaned about mortality risk. We introduce a thinned spatial point process (SPP) modelling framework that couples relative abundance and space use with a mortality process to formally treat the occurrence of mortality events across the landscape as a spatial process. We show how this model can be embedded in a hierarchical statistical framework and fit to telemetry data to make inferences about how spatial covariates drive both space use and mortality risk. We apply the method to two data sets to study the effects of roads and habitat on spatially explicit mortality risk: (1) VHF telemetry data collected for willow ptarmigan in Alaska, and (2) hourly GPS telemetry data collected for black bears in Colorado. These case studies demonstrate the applicability of this method for different species and data types, making it broadly useful in enabling inferences about the mechanisms influencing animal survival and spatial population processes while formally treating survival as a spatial process, especially as the development and implementation of joint analyses continue to progress.

RevDate: 2025-03-03
CmpDate: 2025-03-03

Fuzessy L, MA Pizo (2025)

NeoFrugivory: A comprehensive database for frugivory interactions and functional traits in the Neotropics.

Ecology, 106(3):e70049.

Frugivory plays a crucial role in shaping Neotropical ecosystems, influencing plant dispersal, community dynamics, and ecosystem function. Despite its ecological significance, a systematic understanding of frugivore-fruit interactions spanning the entire Neotropical realm has been lacking. Therefore, we compiled the NeoFrugivory database, which addresses this gap by synthesizing data from a wide range of sources, including peer-reviewed literature, field studies, and existing databases. NeoFrugivory represents a comprehensive compilation of 10,175 unique frugivory interactions across the Neotropical region, the most diverse in terms of vertebrate frugivores, and consolidates information from 419 studies spanning from 1967 to 2023. It includes 2375 plant species and 758 terrestrial vertebrate species. In addition to documenting frugivory interactions, NeoFrugivory includes information on functional traits for both plants and vertebrates, such as body mass, diet, fruit morphology, and seed characteristics. The database encompasses diverse terrestrial vertebrate taxa, including species belonging to taxonomic groups such as Primates, Chiroptera, Birds, Artiodactyla/Perissodactyla, Reptilia, Carnivora, Marsupialia, and Rodentia. By providing a centralized repository of frugivory interactions, NeoFrugivory facilitates comprehensive analyses of ecological networks, evolutionary patterns, and ecosystem dynamics across the Neotropics, and NeoFrugivory provides a unique resource for researchers interested in exploring the intricate dynamics of plant-animal frugivory interactions in the Neotropics. This database enables researchers to explore the ecological roles of different frugivore taxa, identify keystone species, assess the resilience of mutualistic networks, and evaluate the impacts of environmental change on fruit-frugivore interactions. Furthermore, NeoFrugivory serves as a valuable resource for conservation practitioners, supporting the design and implementation of targeted conservation strategies aimed at preserving biodiversity and ecosystem function in the Neotropical region. Overall, NeoFrugivory represents a significant advancement in our understanding of frugivory dynamics in the Neotropics and provides a foundation for future research and conservation efforts in this ecologically diverse and critically important region. There are no copyright restrictions on the data; this paper should be cited when data are used in publications.

RevDate: 2025-03-03

Bai D, Chen T, Xun J, et al (2025)

EasyMetagenome: A user-friendly and flexible pipeline for shotgun metagenomic analysis in microbiome research.

iMeta, 4(1):e70001.

Shotgun metagenomics has become a pivotal technology in microbiome research, enabling in-depth analysis of microbial communities at both the high-resolution taxonomic and functional levels. This approach provides valuable insights of microbial diversity, interactions, and their roles in health and disease. However, the complexity of data processing and the need for reproducibility pose significant challenges to researchers. To address these challenges, we developed EasyMetagenome, a user-friendly pipeline that supports multiple analysis methods, including quality control and host removal, read-based, assembly-based, and binning, along with advanced genome analysis. The pipeline also features customizable settings, comprehensive data visualizations, and detailed parameter explanations, ensuring its adaptability across a wide range of data scenarios. Looking forward, we aim to refine the pipeline by addressing host contamination issues, optimizing workflows for third-generation sequencing data, and integrating emerging technologies like deep learning and network analysis, to further enhance microbiome insights and data accuracy. EasyMetageonome is freely available at https://github.com/YongxinLiu/EasyMetagenome.

RevDate: 2025-03-01

Munteanu A, Bortolini M, Feltracco M, et al (2025)

Contamination by benzothiazoles in the Arctic: first evidence in the seawater of the Greenland Sea.

Environmental pollution (Barking, Essex : 1987) pii:S0269-7491(25)00316-1 [Epub ahead of print].

Benzothiazoles (BTHs), used in industrial chemistry, consumer products, and pharmaceuticals, are emerging contaminants due to their environmental presence and toxicological risks to aquatic life and human health. However, their environmental fate in seawater remains poorly investigated. This study reports for the first time the occurrence and distribution of six BTHs in the sub-Arctic seawater of the Greenland Sea. Using solid-phase extraction combined with ultrahigh performance liquid chromatography tandem mass spectrometry, total BTHs were detected at concentrations ranging from 0.2 to 1043 ng L[-1]. Benzothiazole, 2-hydroxy-benzothiazole, 2-methylthio-benzothiazole, and 2-methyl-benzothiazole exhibited higher mean concentrations (355 ± 335, 114 ± 80, 34 ± 7, 15 ± 8 ng L[-1], respectively) compared to 2-thiocyanomethylthio-benzothiazole (0.5 ± 0.9 ng L[-1]) and 2-amino-benzothiazole (0.3 ± 0.2 ng L[-1]). Local emissions and both short- and long-range transport may account for BTHs presence in the Greenland Sea. The spatial distribution of BTHs along the 75° N transect and in the water column appears influenced by the Greenland Sea Gyre circulation and deep convection processes. Total BTHs distribution showed no significant differences between superficial and water column concentrations or between the outermost and innermost transect zones, as determined by the Mann-Whitney test, although concentrations were generally higher in the zone influenced by the Norwegian Atlantic Current. The ecological risks of BTHs, assessed using the risk quotient methodology, indicate a low threat to aquatic life. This research underscores the need for monitoring BTHs in the Arctic to understand their sources, transport, and environmental fate, providing a foundation for future studies.

RevDate: 2025-03-01

Wang H, Liu C, Li L, et al (2025)

High-precision inversion of urban river water quality via integration of riparian spatial structures and river spectral signatures.

Water research, 278:123378 pii:S0043-1354(25)00291-X [Epub ahead of print].

With the ongoing process of urbanization, it poses challenges to the monitoring of water quality in urban rivers. The mainstream methods for remote sensing water quality monitoring rely on the optical characteristics of water to achieve water quality inversion, while overlooking the correlation between water quality and riparian zones. The spatial arrangement and scale fluctuation of the riparian zones exert a substantial influence on water quality as it serves as an intermediary region connecting riverine and terrestrial ecosystems. Therefore, this study firstly employed unmanned aerial vehicle (UAV)-borne multispectral remote sensing technology to capture the subtle variations in urban river water quality and obtain detailed spatial information of the riparian zone. The Liang-Kleeman information flow was subsequently employed to quantitatively assess the causal responses of the spatial composition of riparian zone to water quality parameters across various spatial scales. Finally, we developed a hierarchical ensemble learning model for water quality assessment by integrating the spatial characteristics of the riparian zone with the spectral properties of the water body. The result demonstrates that this model accurately delineated water quality grades for three key parameters: ammonia nitrogen (NH3N), chemical oxygen demand (COD), and total phosphorus (TP), achieving accuracies of 94.87 %, 92.31 %, and 89.74 %, respectively. Our study presents a water quality inversion method for urban rivers, which holds significant guidance for the monitoring and management of urban rivers and contributes to further promoting the sustainable development of cities.

RevDate: 2025-03-03

Slack SD, Esquinca E, Arehart CH, et al (2025)

Prediction and Characterization of Genetically Regulated Expression of Target Tissues in Asthma.

medRxiv : the preprint server for health sciences.

BACKGROUND: Genetic control of gene expression in asthma-related tissues is not well-characterized, particularly for African-ancestry populations, limiting advancement in our understanding of the increased prevalence and severity of asthma in those populations.

OBJECTIVE: To create novel transcriptome prediction models for asthma tissues (nasal epithelium and CD4+ T cells) and apply them in transcriptome-wide association study (TWAS) to discover candidate asthma genes.

METHODS: We developed and validated gene expression prediction databases for unstimulated CD4+ T cells (CD4+T) and nasal epithelium using an elastic net framework. Combining these with existing prediction databases (N=51), we performed TWAS of 9,284 individuals of African-ancestry to identify tissue-specific and cross-tissue candidate genes for asthma. For detailed Methods, please see the Supplemental Methods.

RESULTS: Novel databases for CD4+T and nasal epithelial gene expression prediction contain 8,351 and 10,296 genes, respectively, including four asthma loci (SCGB1A1, MUC5AC, ZNF366, LTC4S) not predictable with existing public databases. Prediction performance was comparable to existing databases and was most accurate for populations sharing ancestry with the training set (e.g. African ancestry). From TWAS, we identified 17 candidate causal asthma genes (adjusted P<0.1), including genes with tissue-specific (IL33 in nasal epithelium) and cross-tissue (CCNC and FBXW7) effects.

CONCLUSIONS: Expression of IL33, CCNC, and FBXW7 may affect asthma risk in African ancestry populations by mediating inflammatory responses. The addition of CD4+T and nasal epithelium prediction databases to the public sphere will improve ancestry representation and power to detect novel gene-trait associations from TWAS.

RevDate: 2025-03-02
CmpDate: 2025-03-02

Kim SY, Cheon S, Park C, et al (2025)

Integrating DNA metabarcoding and morphological analysis improves marine zooplankton biodiversity assessment.

Scientific reports, 15(1):7283.

Marine copepod communities play crucial roles in ocean ecosystems. However, their accurate assessment remains challenging due to taxonomic complexities. This study combines morphological and DNA metabarcoding approaches to evaluate copepod diversity and community structure in the northern East China Sea. Zooplankton samples were collected from 10 stations along a coastal-offshore gradient in August 2019. Morphological analysis identified 34 species from 25 genera, while DNA metabarcoding detected 31 species from 20 genera. Both methods revealed distinct coastal and offshore assemblages, with Paracalanus parvus s.l. as the dominant species across all stations. A significant positive correlation was found between morphology-based individual counts and metabarcoding sequence reads (Spearman's Rho = 0.58, p < 0.001), improving at the genus level (Rho = 0.70, p < 0.001). Redundancy analysis revealed that salinity, temperature, and phytoplankton density significantly influenced copepod distribution. Although both approaches captured similar broad-scale patterns, they provided complementary insights into community structure. Morphological identification was more effective for detecting Cyclopoida diversity, whereas DNA metabarcoding had greater sensitivity for specific Calanoid species. This study underscores the value of integrating traditional and molecular methods for marine biodiversity assessment, especially in the context of global environmental changes.

RevDate: 2025-02-28
CmpDate: 2025-02-28

Post AK, AD Richardson (2025)

Predicting end-of-season timing across diverse North American grasslands.

Oecologia, 207(3):44.

Climate change is altering the timing of seasonal vegetation cycles (phenology), with cascading consequences on larger ecosystem processes. Therefore, understanding the drivers of vegetation phenology is critical to predicting ecological impacts of climate change. While numerous phenology models exist to predict the timing of the start of the growing season (SOS), there are fewer end-of-season (EOS) models, and most perform poorly in grasslands, since they were made for forests. Our objective was to develop an improved EOS grassland phenology model. We used repeat digital imagery from the PhenoCam Network to extract EOS dates for 44 diverse North American grassland sites (212 site-years) that we fit to 20 new and 3 existing EOS models. All new EOS models (RMSE = 22-33 days between observed and predicted dates) performed substantially better than existing ones (RMSE = 43-46 days). The top model predicted EOS after surpassing a threshold of either accumulated cold temperatures or dryness, but only after a certain number of days following SOS. Including SOS date improved all model fits, indicating a strong correlation between start- and end-of-season timing. Model performance was further improved by independently optimizing parameters for six distinct climate regions (RMSE = 4-19 days). While the best model varied slightly by region, most included similar drivers as the top all-sites model. Thus, across diverse grassland sites, EOS is influenced by both weather (temperature, moisture) and SOS timing. Incorporating these new EOS models into Earth System Models should improve predictions of grassland dynamics and associated ecosystem processes.

RevDate: 2025-02-28
CmpDate: 2025-02-28

Otay EN, Uzun P, A Üstün (2025)

Multifactorial risk mapping of oil spill accidents for emergency response areas at regional, national and international scales.

Marine pollution bulletin, 213:117670.

Quantification and mapping of oil spill risk are essential for emergency response and mitigation of marine accidents. Large-scale risk management involves geographical identification of hazards and sensitivities in coastal and offshore regions. In this study, a multifactorial oil spill risk model was developed on a national scale by determining the frequency (probability) and sensitivity (severity) of marine and coastal accidents. Seven accident frequency and 51 sensitivity factors were investigated within the Turkish Emergency Response Area (TERA) of 660,908 km[2]. Hydrographical, meteorological, oceanographical, and maritime conditions were analyzed to calculate accident frequency. The sensitive areas were mapped using the geographical distribution of ecologic, social, and economic assets. Using data analytics, digital maps of accident frequency, sensitivity and risk were produced in a GIS grid of 21,410 cells with 3NM resolution. Accident hotspots were identified from scalable frequency maps showing regions of high accident probability. Sensitivity factors were analyzed from environmental, social, and economic vulnerabilities. Using their geographic distribution, a sensitivity map was generated and hotspots were identified. Frequency and sensitivity indices were combined to obtain the grid-based high-resolution oil spill risk map on a scalable GIS platform. High-risk areas were identified for future research on oil spill simulations and emergency response plans. The methodology may help scientists and environmental experts develop regional, national, and global risk assessment tools. The outcomes within the TERA may serve as planning and decision support tools for lawmakers, environmental experts, and oil spill response professionals to manage oil pollution risk across the TERA.

RevDate: 2025-02-27

Mendoza JN, Prūse B, Ciriaco A, et al (2025)

Correction: Fishery and ecology-related knowledge about plants among fishing communities along Laguna Lake, Philippines.

Journal of ethnobiology and ethnomedicine, 21(1):11 pii:10.1186/s13002-025-00763-7.

RevDate: 2025-02-27
CmpDate: 2025-02-27

Chen Z, Baeza JA, Chen C, et al (2025)

A genome-based phylogeny for Mollusca is concordant with fossils and morphology.

Science (New York, N.Y.), 387(6737):1001-1007.

Extreme morphological disparity within Mollusca has long confounded efforts to reconstruct a stable backbone phylogeny for the phylum. Familiar molluscan groups-gastropods, bivalves, and cephalopods-each represent a diverse radiation with myriad morphological, ecological, and behavioral adaptations. The phylum further encompasses many more unfamiliar experiments in animal body-plan evolution. In this work, we reconstructed the phylogeny for living Mollusca on the basis of metazoan BUSCO (Benchmarking Universal Single-Copy Orthologs) genes extracted from 77 (13 new) genomes, including multiple members of all eight classes with two high-quality genome assemblies for monoplacophorans. Our analyses confirm a phylogeny proposed from morphology and show widespread genomic variation. The flexibility of the molluscan genome likely explains both historic challenges with their genomes and their evolutionary success.

RevDate: 2025-02-27

Boyes D, Holland PWH, University of Oxford and Wytham Woods Genome Acquisition Lab, et al (2024)

The genome sequence of the Olive Crescent, Trisateles emortualis (Denis & Schiffermüller, 1775).

Wellcome open research, 9:178.

We present a genome assembly from an individual male Trisateles emortualis (the Olive Crescent; Arthropoda; Insecta; Lepidoptera; Noctuidae). The genome sequence is 565.5 megabases in span. Most of the assembly is scaffolded into 31 chromosomal pseudomolecules, including the Z sex chromosome. The mitochondrial genome has also been assembled and is 16.01 kilobases in length. Gene annotation of this assembly on Ensembl identified 13,176 protein coding genes.

RevDate: 2025-02-27

McGregor AP, Sumner-Rooney L, Burkmar R, et al (2024)

The genome sequence of the silver stretch spider, Tetragnatha montana (Simon, 1874) (Araneae: Tetragnathidae).

Wellcome open research, 9:288.

We present a genome assembly from an individual female Tetragnatha montana (the silver stretch spider; Arthropoda; Arachnida; Araneae; Tetragnathidae). The genome sequence is 784.7 megabases in span. Most of the assembly is scaffolded into 13 chromosomal pseudomolecules, including the X sex chromosome. The mitochondrial genome has also been assembled and is 15.49 kilobases in length.

RevDate: 2025-02-27

Brodie JF, Mohd-Azlan J, Chen C, et al (2025)

Reply to: Causal claims, causal assumptions and protected area impact.

Nature, 638(8052):E42-E44.

RevDate: 2025-02-26
CmpDate: 2025-02-26

Dos Santos AP, da Silva Junior AX, Nery LM, et al (2025)

Random forest algorithm applied to model soil textural classification in a river basin.

Environmental monitoring and assessment, 197(3):330.

The proportion of sand, silt, and clay defines soil texture, significantly influencing agricultural and ecological practices. However, conventional classification methods are costly and limit evaluation frequency and scope. In contrast, machine learning algorithms, such as random forest, provide a more efficient solution for accurate soil texture predictions. This study aims to address this knowledge gap by integrating geoprocessing, precision agriculture, and machine learning to classify soil texture in the Sorocabuçu River Basin (SRB), predominantly agricultural. Twenty-seven sampling points were selected based on topography and land use, ensuring the representativeness of area variations and the reliability of classification. Granulometric analysis was performed using the pipette method to separate sand, silt, and clay. The data were spatially interpolated using geographic information system (GIS) techniques. Soil texture was classified using the random forest algorithm, trained on 70% of the data and tested on 30%, evaluating overall accuracy, kappa index, sensitivity, and specificity. Fifty trees (ntree) and four features per split (ntry) were used, considering the variability of parameters to ensure satisfactory results. The varied spatial distribution of clay, along with high levels of sand and silt, suggests greater vulnerability to erosion without conservation management practices. The random forest model achieved an out-of-bag (OOB) error of 2.78%, a kappa index of 0.88, and an overall accuracy of 0.92, demonstrating excellent predictive capacity. The variability of sand was essential, but the Sandy Clay Loam (SCL) class posed challenges due to its intermediate characteristics between sand and clay, resulting in classification overlaps. This integrated methodology enhances understanding of soil structure in the SRB and provides a foundation for future research and practical applications, supporting food security and environmental sustainability. The model can be applied in other locations and agricultural contexts. In homogeneous soils, the method can be improved through the application of machine learning algorithms to enhance accuracy.

RevDate: 2025-02-26
CmpDate: 2025-02-26

Kim DH, Y Kim (2025)

Factors Associated With Habitual Drug Use Among Adolescents: A Secondary Data Analysis.

Asian nursing research, 19(1):78-85.

PURPOSE: Drug use during adolescence can have lasting health consequences, and understanding the factors that contribute to drug use is essential for effective prevention. This study aimed to identify the factors influencing habitual drug use among South Korean adolescents. It employed Bronfenbrenner's ecological model to examine personal, familial, school-related, and social factors.

METHODS: The study analyzed data from the 19th Korea Youth Risk Behavior Survey for 41,928 students from 1st grade of middle school to 3rd grade of high school. Data analysis involved cross-tabulation and logistic regression for complex samples.

RESULTS: The prevalence of habitual drug use was 1.4%. Significant personal factors included smoking [adjusted odds ratio (aOR) = 2.61], alcohol consumption (aOR = 1.55), sexual intercourse (aOR = 1.45), smartphone overdependence (high-risk group aOR = 2.04, potential risk group aOR = 1.31), suicidal ideation (aOR = 2.66), depressed mood (aOR = 1.87), and loneliness (aOR = 1.88). Significant family factors included non-cohabitation with family (aOR = 1.86) and both parents being foreign-born (aOR = 3.36). Experience of violence (aOR = 2.95) was also a significant factor.

CONCLUSION: This study highlights the need for an integrated approach to prevent adolescent drug use by addressing adolescents' personal behaviors, family dynamics, and school environments. Prevention programs should account for the influence of multiple systems on habitual drug use. School and community nurses should adopt a comprehensive, multi-dimensional strategy that involves families, schools, and communities to prevent adolescent drug use. Additionally, there is a need to develop family-centered and culturally sensitive drug prevention programs for adolescents.

RevDate: 2025-02-27
CmpDate: 2025-02-27

Daich Varela M, Sanders Villa A, Pontikos N, et al (2025)

Digital health and wearable devices for retinal disease monitoring.

Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie, 263(2):279-289.

Digital health is wielding a growing influence across all areas of healthcare, encompassing various facets such as telemedicine, artificial intelligence (AI), and electronic healthcare records. In Ophthalmology, digital health innovations can be broadly divided into four categories: (i) self-monitoring home devices and apps, (ii) virtual and augmented reality visual aids, (iii) AI software, and (iv) wearables. Wearable devices can work in the background, collecting large amounts of objective data while we do our day-to-day activities, which may be ecologically more valid and meaningful to patients than that acquired in traditional hospital settings. They can be a watch, wristband, piece of clothing, glasses, cane, smartphone in our pocket, earphones, or any other device with a sensor that we carry with us. Focusing on retinal diseases, a key challenge in developing novel therapeutics has been to prove a meaningful benefit in patients' lives and the creation of objective patient-centred endpoints in clinical trials. In this review, we will discuss wearable devices collecting different aspects of visual behaviour, visual field, central vision, and functional vision, as well as their potential implementation as outcome measures in research/clinical trial settings. The healthcare landscape is facing a paradigm shift. Clinicians have a key role of collaborating with the development and fine-tuning of digital health innovations, as well as identifying opportunities where they can be leveraged to enhance our understanding of retinal diseases and improve patient outcomes.

RevDate: 2025-02-26

Grieco F, Parisi S, Simmenroth A, et al (2024)

Planetary health education in undergraduate medical education in Germany: results from structured interviews and an online survey within the national PlanetMedEd Project.

Frontiers in medicine, 11:1507515.

BACKGROUND: In light of the accumulating evidence, awareness and urgency to act upon the three planetary crises - climate change, biodiversity loss, and pollution - the concept of Planetary Health underscores their profound implications for health and promotes actionable solutions to advance both wellbeing and ecological sustainability. Despite (inter)national calls to integrate Planetary Health into health workers' curricula, the current status of Planetary Health Education in undergraduate medical education in Germany is unclear. This study therefore aimed (a) to assess the current implementation of Planetary Health in undergraduate medical education in Germany and (b) to explore its characteristics as a foundation to develop evidence-informed recommendations for mainstreaming Planetary Health Education in medical schools in Germany.

METHODS: The study comprised structured interviews followed by an online survey, both targeting all 39 medical schools in Germany. In 2021, structured interviews were conducted with students, educators and deanery staff at medical schools. In 2023, educators and deanery staff participated in an online survey based on the findings from the interviews.

FINDINGS: In total, 80% of the 39 medical schools participated in the interviews, while 90% took part in the online survey. Based on integrated findings, 35 medical schools (90%) offered Planetary Health Education, with a median of two educational activities, including both stand-alone courses and lectures integrated into other courses. Despite an overall increase since winter semester 2021/2022, most educational activities were electives and not part of the mandatory curriculum. Innovative educational approaches and learning objectives differed significantly between mandatory and elective formats. In contrast to mandatory educational activities, student involvement was reported for the majority of electives and was significantly associated with transformative learning objectives.

INTERPRETATION: Despite a steady rise in teaching activities, mandatory Planetary Health Education remains insufficiently integrated into undergraduate medical education in Germany. Key criteria defining high-quality Planetary Health Education, such as innovative educational approaches, practical skills, and transformative learning, were primarily reflected in electives, that reach only a minority of students. To adequately equip the future healthcare workforce, the current barriers to successfully integrating Planetary Health into medical education must be systematically addressed and overcome.

RevDate: 2025-02-26

Boyes D, Lees DC, Coates BS, et al (2025)

The genome sequence of the European Corn Borer, Ostrinia nubilalis Hübner, 1796.

Wellcome open research, 10:12.

We present a genome assembly from an individual female specimen of Ostrinia nubilalis (European Corn Borer; Arthropoda; Insecta; Lepidoptera; Crambidae). The genome sequence has a total length of 495.50 megabases. Most of the assembly (99.87%) is scaffolded into 32 chromosomal pseudomolecules, including the Z and W sex chromosomes. The mitochondrial genome has also been assembled and is 15.24 kilobases in length. Gene annotation of this assembly on Ensembl identified 16,780 protein-coding genes.

RevDate: 2025-02-26

Boyes D, Lewis OT, University of Oxford and Wytham Woods Genome Acquisition Lab, et al (2025)

The genome sequence of Red Underwing, Catocala nupta Linnaeus, 1767.

Wellcome open research, 10:36.

We present a genome assembly from an individual female specimen of Catocala nupta (Red Underwing; Arthropoda; Insecta; Lepidoptera; Erebidae). The genome sequence has a total length of 930.40 megabases. Most of the assembly (99.82%) is scaffolded into 32 chromosomal pseudomolecules, including the W and Z sex chromosomes. The mitochondrial genome has also been assembled and is 15.57 kilobases in length. Gene annotation of this assembly on Ensembl identified 13,889 protein-coding genes.

RevDate: 2025-02-26
CmpDate: 2025-02-26

Brzhozovskiy AG, Semenov SD, Zherebker AY, et al (2025)

Hepatoprotective Activity of Nature-Derived Polyphenols Studied by Mass Spectrometry Based Multi-OMICS Approach.

International journal of molecular sciences, 26(4): pii:ijms26041604.

The aim of this study was to examine the hepatoprotective activity of multicomponent mixtures of natural origin in the BALB/C mouse model, with subacute liver failure (SALF) induced by the administration of toxin carbon tetrachloride (CCl4). The hepatoprotective activity of activated hydrolytic lignin (BP-Cx-1), humic acid peloids (HA), and isoflavones from kudzu Pueraria lobata roots (IFL) was evaluated using mass spectrometry (MS)-based omics technologies. Our MS-based approach revealed new insights into the molecular mechanisms of the hepatoprotective activity of multicomponent mixtures of natural origin. Significant differences were observed in the proteome and metabolome profiles of the urine and liver of BALB/c mice with SALF between a control group with CCl4 administration, intact controls, and groups receiving potential hepatoprotectors of natural origin (BP-Cx-1, HA, IFL). Proteomic and metabolomics analyses demonstrated that among the hepatoprotectors, IFL possessed the highest hepatoprotective potential, which correlated well with the relative effectiveness of the drugs recorded during in vitro studies. These results correlate with the relative effectiveness of the drugs recorded in previous in vitro and in vivo studies. The leading IFL activity may be attributed to a higher content of active polyphenolic components compared to heterogeneous HA and BP-Cx-1. Enrichment with active components by fractionation is a direction that can be explored for developing hepatoprotective agents based on natural complex polyphenols.

RevDate: 2025-02-25

Medeiros W, Kralova S, Oliveira V, et al (2025)

Antarctic bacterial natural products: from genomic insights to drug discovery.

Natural product reports [Epub ahead of print].

Covering: up to the end of 2024Microbial life dominates the extreme continent Antarctica, playing a pivotal role in ecosystem functioning and serving as a reservoir of specialized metabolites known as natural products (NPs). NPs not only contribute to microbial adaptation to harsh conditions but also modulate microbial community structure. Long-term isolation and environmental pressures have shaped the genomes of Antarctic bacteria, suggesting that they also encode unique NPs. Since NPs are also an important source of drugs, we argue that investigating Antarctic bacterial NPs is essential not only for understanding their ecological role and evolution, but also for discovering new chemical structures, biosynthetic mechanisms, and potential new drugs. Yet, despite advances in omics technologies and increased scientific activities in Antarctica, relatively few new bacterial NPs have been discovered. The lack of systematic research activities focused on the exploration of Antarctic bacteria and their NPs constitutes a big problem considering the climate change issue, to which ecosystems in polar regions are the most sensitive areas on the Earth. Here, we highlight the currently available data on Antarctic bacteria, their biosynthetic potential, and the successful NP discoveries, while addressing the challenges in NP research and advocating for systematic, collaborative efforts aligned with the Antarctic Treaty System and the Antarctic Conservation Biogeographic Regions.

RevDate: 2025-02-25

Huang J, Bibri SE, P Keel (2025)

Generative spatial artificial intelligence for sustainable smart cities: A pioneering large flow model for urban digital twin.

Environmental science and ecotechnology, 24:100526.

Rapid urbanization, alongside escalating resource depletion and ecological degradation, underscores the critical need for innovative urban development solutions. In response, sustainable smart cities are increasingly turning to cutting-edge technologies-such as Generative Artificial Intelligence (GenAI), Foundation Models (FMs), and Urban Digital Twin (UDT) frameworks-to transform urban planning and design practices. These transformative tools provide advanced capabilities to analyze complex urban systems, optimize resource management, and enable evidence-based decision-making. Despite recent progress, research on integrating GenAI and FMs into UDT frameworks remains scant, leaving gaps in our ability to capture complex urban flows and multimodal dynamics essential to achieving environmental sustainability goals. Moreover, the lack of a robust theoretical foundation and real-world operationalization of these tools hampers comprehensive modeling and practical adoption. This study introduces a pioneering Large Flow Model (LFM), grounded in a robust foundational framework and designed with GenAI capabilities. It is specifically tailored for integration into UDT systems to enhance predictive analytics, adaptive learning, and complex data management functionalities. To validate its applicability and relevance, the Blue City Project in Lausanne City is examined as a case study, showcasing the ability of the LFM to effectively model and analyze urban flows-namely mobility, goods, energy, waste, materials, and biodiversity-critical to advancing environmental sustainability. This study highlights how the LFM addresses the spatial challenges inherent in current UDT frameworks. The LFM demonstrates its novelty in comprehensive urban modeling and analysis by completing impartial city data, estimating flow data in new locations, predicting the evolution of flow data, and offering a holistic understanding of urban dynamics and their interconnections. The model enhances decision-making processes, supports evidence-based planning and design, fosters integrated development strategies, and enables the development of more efficient, resilient, and sustainable urban environments. This research advances both the theoretical and practical dimensions of AI-driven, environmentally sustainable urban development by operationalizing GenAI and FMs within UDT frameworks. It provides sophisticated tools and valuable insights for urban planners, designers, policymakers, and researchers to address the complexities of modern cities and accelerate the transition towards sustainable urban futures.

RevDate: 2025-02-25

Campbell IH, Needham N, Grossi H, et al (2025)

A pilot study of a ketogenic diet in bipolar disorder: clinical, metabolic and magnetic resonance spectroscopy findings.

BJPsych open, 11(2):e34 pii:S205647242400841X.

BACKGROUND: Preliminary evidence suggests that a ketogenic diet may be effective for bipolar disorder.

AIMS: To assess the impact of a ketogenic diet in bipolar disorder on clinical, metabolic and magnetic resonance spectroscopy outcomes.

METHOD: Euthymic individuals with bipolar disorder (N = 27) were recruited to a 6- to 8-week single-arm open pilot study of a modified ketogenic diet. Clinical, metabolic and MRS measures were assessed before and after the intervention.

RESULTS: Of 27 recruited participants, 26 began and 20 completed the ketogenic diet. For participants completing the intervention, mean body weight fell by 4.2 kg (P < 0.001), mean body mass index fell by 1.5 kg/m[2] (P < 0.001) and mean systolic blood pressure fell by 7.4 mmHg (P < 0.041). The euthymic participants had average baseline and follow-up assessments consistent with them being in the euthymic range with no statistically significant changes in Affective Lability Scale-18, Beck Depression Inventory and Young Mania Rating Scale. In participants providing reliable daily ecological momentary assessment data (n = 14), there was a positive correlation between daily ketone levels and self-rated mood (r = 0.21, P < 0.001) and energy (r = 0.19 P < 0.001), and an inverse correlation between ketone levels and both impulsivity (r = -0.30, P < 0.001) and anxiety (r = -0.19, P < 0.001). From the MRS measurements, brain glutamate plus glutamine concentration decreased by 11.6% in the anterior cingulate cortex (P = 0.025) and fell by 13.6% in the posterior cingulate cortex (P = <0.001).

CONCLUSIONS: These findings suggest that a ketogenic diet may be clinically useful in bipolar disorder, for both mental health and metabolic outcomes. Replication and randomised controlled trials are now warranted.

RevDate: 2025-02-25
CmpDate: 2025-02-25

Cheng Z, He Y, Wang N, et al (2025)

Uncovering soil amendment-induced genomic and functional divergence in soybean rhizosphere microbiomes during cadmium-contaminated soil remediation: Novel insights from field multi-omics.

Environmental pollution (Barking, Essex : 1987), 368:125787.

Soil amendments exhibit great potential in reducing cadmium (Cd) bioavailability and its accumulation in crop grains, but their practical implications on microbial characteristics (genomic traits and ecological functions) remain unclear. The objective of this study was to combine metagenomics and metatranscriptomics to track the dynamics of bacterial and viral communities in the soybean rhizosphere during the remediation of Cd-contaminated soil using a commercial Mg-Ca-Si conditioner (CMC), applied at low and high (975 kg ha[-1] and 1950 kg ha[-1]) rates under field conditions. Application of CMC increased the average size and decreased the guanine-cytosine (GC) content of microbial genomes, which were strongly shaped by soil pH and available Cd (ACd). Gene and transcript abundances analysis indicated that CMC promoted the enrichment of Alphaproteobacterial metagenome-assembled genomes (MAGs) carrying czcC gene encoding Cd efflux and dsbB gene encoding disulfide bond oxidoreductase. These genes are closely related to Cd resistance and exhibited notable (p < 0.05) increased expression in CMC-treated soils. Additionally, low and high CMC addition significantly increased viral alpha diversity by 5.7% and 9.6%, and viral activity by 3.3% and 7.8%, respectively, in comparison to the control. Temperate viruses were predicted as the major group (64%) and actively linked to the dominant host, and CMC amendment increased host metabolism and adaptability by enhancing (p < 0.05) the abundance and transcriptional activity of virus-encoded auxiliary metabolic genes (AMGs) involved in heavy metal resistance (ABC transport), sulfur cycling (cysH), and host metabolism (galE and queD) through "piggyback-the-winner" strategy. Structural equation modeling further revealed that CMC application influences Cd accumulation in soybean grains through its direct and indirect effects on soil properties and rhizosphere microbiomes, and highlighted the potential role of rhizosphere viruses in agricultural soil remediation.

RevDate: 2025-02-25
CmpDate: 2025-02-25

Grettenberger C, Gold DA, CT Brown (2025)

Distribution of early-branching Cyanobacteriia and the potential habitats that gave rise to the earliest oxygenic phototrophs.

mSphere, 10(2):e0101324.

The evolution of oxygenic photosynthesis in the Cyanobacteria was one of the most transformative events in Earth history, eventually leading to the oxygenation of Earth's atmosphere. However, it is difficult to understand how the earliest Cyanobacteria functioned or evolved on early Earth in part because we do not understand their ecology, including the environments in which they lived. Here, we use a cutting-edge bioinformatics tool to survey nearly 500,000 metagenomes for relatives of the taxa that likely bookended the evolution of oxygenic photosynthesis to identify the modern environments in which these organisms live. Ancestral state reconstruction suggests that the common ancestors of these organisms lived in terrestrial (soil and/or freshwater) environments. This restricted distribution may have increased the lag between the evolution of oxygenic photosynthesis and the oxygenation of Earth's atmosphere.IMPORTANCECyanobacteria generate oxygen as part of their metabolism and are responsible for the rise of oxygen in Earth's atmosphere over two billion years ago. However, we do not know how long this process may have taken. To help constrain how long this process would have taken, it is necessary to understand where the earliest Cyanobacteria may have lived. Here, we use a cutting-edge bioinformatics tool called branch water to examine the environments where modern Cyanobacteria and their relatives live to constrain those inhabited by the earliest Cyanobacteria. We find that these species likely lived in non-marine environments. This indicates that the rise of oxygen may have taken longer than previously believed.

RevDate: 2025-02-25
CmpDate: 2025-02-25

Han S, W Hogue (2025)

Assessing Human Influence and Vegetative Dune Dynamics on Barrier Islands via Satellite Raster Classification.

Environmental management, 75(3):524-537.

Barrier islands support ecological diversity and offshore ecosystems and provide critical protection to coastal communities. Climate change has intensified the frequency and severity of hurricanes affecting these islands, leading to ongoing erosion. The primary goal of this study was to explore the relationship between human intervention such as development and construction and the vegetative dune systems on Gulf Coast barrier islands in Alabama and Mississippi, USA. This research employed two decades of satellite images of three neighboring barrier islands and employed GIS raster classification to track changes in the vegetative dune system in terms of: (1) dune coverage (surface area of the vegetation), (2) vegetative maturity (vegetation type), and (3) stability (fluctuations in the vegetative coverage over time). Time series and trend analyses were used to compare the results for three neighboring islands. The findings show that Dauphin Island, which features both commercial facilities and vacation homes, exhibited a decrease in total area over time, and had the lowest percentage of vegetative dune coverage and highest level of vegetative fluctuation. In contrast, Petit Bois and Horn Islands, which remain untouched by human activity, displayed significantly higher levels of vegetative maturity and coverage and comparatively less fluctuation. This research provides a foundation for those advocating for dune restoration strategies, development limitations, and conservation regulations as nature-based infrastructure solutions to combat erosion on barrier islands and serves as a point of entry for future inquiries in the field of environmental management.

RevDate: 2025-02-24

Keet JH, C Hui (2025)

One-hectare fine-scale dataset of a fynbos plant community in the Cape Floristic Region.

Data in brief, 59:111334.

Cape fynbos, which forms part of the Cape Floristic Region (CFR) of South Africa, a global biodiversity hotspot, is renowned for its high levels of plant species endemism and diversity. This extraordinary ecosystem, characterised by nutrient-poor soils and fire-adapted vegetation, is a treasure trove of endemic flora. However, this fragile system faces increasing threats from habitat loss, climate change, and invasive species. Pristine fynbos, naturally high in plant diversity and which forms a large part of the CFR, presents an ideal opportunity to gather fine-scale data on community assembly patterns. Most fynbos vegetation surveys use a plot size of about 100 m[2], with no spatial structures within plots to demarcate individual subplots. Here, a groundbreaking dataset is presented that fully covers 1-hectare of pristine fynbos, systematically gridded into 50 × 50 subplots, each measuring 2 × 2 m, arranged evenly within a square-shaped survey site. Each plot was assigned a unique Y-X coordinate combination. For each plot, all plant species present were recorded, along with their total percentage covers and maximum height values. Total percentage covers were also recorded for bare soil, rock, and termite mounds. This dataset provides a valuable contribution to the field of fynbos ecology, as well as plant community ecology in general, and establishes a benchmark for future one-hectare surveys of similar fynbos vegetation types, delineating the fine-scale composition and structure of fynbos in the CFR. The dataset will be useful for a wide audience, including community and spatial ecologists, plant and environmental scientists, and biodiversity informaticians and statistical ecologists, offering ideal data for testing new metrics of diversity and compositional turnover.

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ESP Origins

In the early 1990's, Robert Robbins was a faculty member at Johns Hopkins, where he directed the informatics core of GDB — the human gene-mapping database of the international human genome project. To share papers with colleagues around the world, he set up a small paper-sharing section on his personal web page. This small project evolved into The Electronic Scholarly Publishing Project.

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In 1995, Robbins became the VP/IT of the Fred Hutchinson Cancer Research Center in Seattle, WA. Soon after arriving in Seattle, Robbins secured funding, through the ELSI component of the US Human Genome Project, to create the original ESP.ORG web site, with the formal goal of providing free, world-wide access to the literature of classical genetics.

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Although the methods of molecular biology can seem almost magical to the uninitiated, the original techniques of classical genetics are readily appreciated by one and all: cross individuals that differ in some inherited trait, collect all of the progeny, score their attributes, and propose mechanisms to explain the patterns of inheritance observed.

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In reading the early works of classical genetics, one is drawn, almost inexorably, into ever more complex models, until molecular explanations begin to seem both necessary and natural. At that point, the tools for understanding genome research are at hand. Assisting readers reach this point was the original goal of The Electronic Scholarly Publishing Project.

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This is a must read book for anyone with an interest in invasion biology. The full title of the book lays out the author's premise — The New Wild: Why Invasive Species Will Be Nature's Salvation. Not only is species movement not bad for ecosystems, it is the way that ecosystems respond to perturbation — it is the way ecosystems heal. Even if you are one of those who is absolutely convinced that invasive species are actually "a blight, pollution, an epidemic, or a cancer on nature", you should read this book to clarify your own thinking. True scientific understanding never comes from just interacting with those with whom you already agree. R. Robbins

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Papers in Classical Genetics

The ESP began as an effort to share a handful of key papers from the early days of classical genetics. Now the collection has grown to include hundreds of papers, in full-text format.

Digital Books

Along with papers on classical genetics, ESP offers a collection of full-text digital books, including many works by Darwin and even a collection of poetry — Chicago Poems by Carl Sandburg.

Timelines

ESP now offers a large collection of user-selected side-by-side timelines (e.g., all science vs. all other categories, or arts and culture vs. world history), designed to provide a comparative context for appreciating world events.

Biographies

Biographical information about many key scientists (e.g., Walter Sutton).

Selected Bibliographies

Bibliographies on several topics of potential interest to the ESP community are automatically maintained and generated on the ESP site.

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