Manuel Curto, Ana Veríssimo, Giulia Riccioni, Carlos D. Santos, Filipe Ribeiro, Sissel Jentoft, Maria Judite Alves, Hugo F. Gante
{"title":"Improving Whole Biodiversity Monitoring and Discovery With Environmental DNA Metagenomics","authors":"Manuel Curto, Ana Veríssimo, Giulia Riccioni, Carlos D. Santos, Filipe Ribeiro, Sissel Jentoft, Maria Judite Alves, Hugo F. Gante","doi":"10.1111/1755-0998.14105","DOIUrl":"10.1111/1755-0998.14105","url":null,"abstract":"<p>Environmental DNA (eDNA) metagenomics sequences all DNA molecules present in environmental samples and has the potential of identifying virtually any organism from which they are derived. However, due to unacceptable levels of false positives and negatives, this approach is underexplored as a tool for biodiversity monitoring across the tree of life, particularly for non-microscopic eukaryotes. We present <span>SeqIDist,</span> a framework that combines multilocus BLAST matches against several reference databases followed by an analysis of sequence identity distribution patterns to disentangle false positives while revealing new biodiversity and increasing the accuracy of metagenomic approaches. We tested <span>SeqIDist</span> on an eDNA metagenomic dataset from a riverine site and compared the results to those obtained with an eDNA metabarcoding approach for benchmarking purposes. We start by characterising the biological community (~2000 taxa) across the tree of life at low taxonomic levels and show that eDNA metagenomics has a higher sensitivity than eDNA metabarcoding in discovering new diversity. We show that limited representation of whole genome sequences in reference databases can lead to false positives. For non-microscopic eukaryotes, eDNA metagenomic data often consist of a few sparse, anonymous sequences scattered across the genome, making metagenome assembly methods unfeasible. Finally, we infer eDNA source and residency time using read length distributions as a measure of decay status. The higher accuracy of <span>SeqIDist</span> opens the discussion of the potential of eDNA metagenomics for archived samples and its implementation in long-term biodiversity monitoring at a planetary scale.</p>","PeriodicalId":211,"journal":{"name":"Molecular Ecology Resources","volume":"25 6","pages":""},"PeriodicalIF":5.5,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1755-0998.14105","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143750368","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Joana Veríssimo, Manuel Lopes-Lima, Fábio Amaral, Cátia Chaves, Vasco Fernandes, Mutaleni Kemanja, Amílcar Teixeira, Filipa M. S. Martins, Pedro Beja
{"title":"Navigating Methodological Trade-Offs in eDNA Metabarcoding Biodiversity Monitoring: Insights From a Mediterranean Watershed","authors":"Joana Veríssimo, Manuel Lopes-Lima, Fábio Amaral, Cátia Chaves, Vasco Fernandes, Mutaleni Kemanja, Amílcar Teixeira, Filipa M. S. Martins, Pedro Beja","doi":"10.1111/1755-0998.14082","DOIUrl":"10.1111/1755-0998.14082","url":null,"abstract":"<p>Environmental DNA (eDNA) metabarcoding technologies promise significant advances in biodiversity monitoring, yet their application requires extensive optimisation and standardisation. Recent research demonstrated that increased sampling and analytical efforts are needed to improve biodiversity estimates, though fully optimising study designs is often hindered by resource constraints. Consequently, researchers must carefully navigate methodological trade-offs to design effective eDNA metabarcoding monitoring studies. We conducted a water eDNA survey of vertebrates in a Mediterranean watershed to identify key methodological factors influencing species richness and composition estimates. We examined the impacts of using high- versus low-capacity filtration capsules, varying levels of biological and technical replication, and the pooling of PCR replicates before indexing. The primary sources of variation identified were capsule filtration capacity and site replication across the watershed. While biological replication within sites and PCR replication also improved biodiversity estimates, their effects were comparatively smaller. Pooling PCR replicates before indexing performed more poorly than analysing them independently. Methodological impacts were stronger on terrestrial than on aquatic species. Based on these results, we recommend that priority should be given to high-capacity filtration and sampling across multiple sites. Site-level replication deserves lower priority, especially when filtering large water volumes. PCR replication is crucial for detecting rare species but should be balanced with increased site sampling and eventually site-level replication. Avoiding the pooling of PCR replicates is important to enhance sensitivity for rare species. Overall, we stress the importance of balancing methodological choices with resource constraints and monitoring goals, and we emphasise the need for research assessing methodological trade-offs in different study systems.</p>","PeriodicalId":211,"journal":{"name":"Molecular Ecology Resources","volume":"25 6","pages":""},"PeriodicalIF":5.5,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1755-0998.14082","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143762551","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sarah M. Baty, Raúl Araya-Donoso, Avery Paulsen, Avery Williams, Dale F. DeNardo, Kenro Kusumi, Greer A. Dolby
{"title":"Strong Signatures of Selection on Candidate Genes Underlying Core Speciation Mechanisms in Desert Tortoises","authors":"Sarah M. Baty, Raúl Araya-Donoso, Avery Paulsen, Avery Williams, Dale F. DeNardo, Kenro Kusumi, Greer A. Dolby","doi":"10.1111/1755-0998.14098","DOIUrl":"10.1111/1755-0998.14098","url":null,"abstract":"<p>Genomic incompatibilities and differential ecological adaptation are thought to be fundamental mechanisms of speciation. In this study, we generated a chromosome-scale reference genome and annotation for <i>Gopherus morafkai</i> , the Sonoran Desert tortoise, and conducted a detailed analysis of genes under positive selection with its sister species, the Mojave Desert tortoise. They occupy desert habitats with differing seasonal rainfall patterns and have considerable behavioural and reproductive differences, yet maintain a narrow hybrid zone. We find high conservation of synteny with other chelonian species. Results show extensive positive selection (422 candidate genes) relating to eye development and function that may reflect differences in UV exposure, as well as core reproductive isolation mechanisms of sperm–egg recognition, spindle assembly checkpoint and sister chromatid pairing. Together, our results offer strong genomic support and speciation genomic resources for processes shaping reproductive isolation in chelonians.</p>","PeriodicalId":211,"journal":{"name":"Molecular Ecology Resources","volume":"25 6","pages":""},"PeriodicalIF":5.5,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1755-0998.14098","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143699273","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Segregating Sites Enhance Accuracy of Species Abundance Estimates From eDNA","authors":"Kara J. Andres","doi":"10.1111/1755-0998.14108","DOIUrl":"10.1111/1755-0998.14108","url":null,"abstract":"<p>Species abundance is a fundamental metric in ecology and conservation. Assessing how populations change across space time enables the identification of population trends and informs management and conservation decisions. However, measuring species abundance can be a challenging task, with logistical constraints, sampling biases, and detection limits inhibiting meaningful abundance estimates. Environmental DNA (eDNA) approaches have improved our ability to monitor species presence and biodiversity and may also serve as a tool for measuring species abundance. However, abundance estimates from eDNA typically rely on the correlation between species abundance and the concentration of target species' DNA in a sample, which may be hindered by complex interactions including variable amounts of DNA being shed by different individuals and environmental factors affecting DNA persistence. In this issue, Ai et al. (2025) present a new framework for estimating species abundance from eDNA that uses the amount of genetic diversity detected in a sample, specifically the number of segregating sites, to predict species abundance. The approach was developed and validated using in silico, in vitro, and in situ experiments, demonstrating improved correlations with species abundance compared to estimates based on eDNA concentration. With further improvements in detecting rare genetic variants, this approach has the potential to enhance our ability to quantify species abundance using eDNA.</p>","PeriodicalId":211,"journal":{"name":"Molecular Ecology Resources","volume":"25 6","pages":""},"PeriodicalIF":5.5,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1755-0998.14108","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143690401","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Correcting for Bias in Estimates of \u0000 \u0000 \u0000 \u0000 θ\u0000 w\u0000 \u0000 \u0000 and Tajima's \u0000 \u0000 \u0000 D\u0000 \u0000 From Missing Data in Next-Generation Sequencing","authors":"Nick Bailey, Laurie Stevison, Kieran Samuk","doi":"10.1111/1755-0998.14104","DOIUrl":"10.1111/1755-0998.14104","url":null,"abstract":"<p>Population genetic analyses use information from the site frequency spectrum to infer evolutionary processes. Two summary statistics, Watterson's estimator (<span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <msub>\u0000 <mi>θ</mi>\u0000 <mi>w</mi>\u0000 </msub>\u0000 </mrow>\u0000 </semantics></math>) of genetic diversity, and Tajima's <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <mi>D</mi>\u0000 </mrow>\u0000 </semantics></math>, used for detecting non-neutral evolution, are among the most frequently computed statistics utilising this information. However, missing information in genomic data, particularly as encoded in the Variant Call Format (VCF), can bias these estimates, leading to incorrect evolutionary inferences. We assessed the impact of missing data on the estimation of these statistics using various population genetic software packages (<span>VCFtools</span>, <span>PopGenome</span>, <span>pegas</span> and <span>scikit-allel</span>). By simulating neutral genomic data with varying levels of missing genotypes and sites, we found consistent underestimation of <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <msub>\u0000 <mi>θ</mi>\u0000 <mi>w</mi>\u0000 </msub>\u0000 </mrow>\u0000 </semantics></math> across programs. We found a consequent bias in estimates of Tajima's <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <mi>D</mi>\u0000 </mrow>\u0000 </semantics></math>, though the direction varied by software. We developed and implemented correction methods as functions in an update of the popular <span>pixy</span> software, significantly reducing these biases. Our findings highlight the need for accurate data handling in population genomics to avoid misinterpretations of evolutionary phenomena.</p>","PeriodicalId":211,"journal":{"name":"Molecular Ecology Resources","volume":"25 6","pages":""},"PeriodicalIF":5.5,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1755-0998.14104","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143690398","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}