Environmental RNA (eRNA) has been increasingly used to move beyond ‘who is there’ toward ‘who is active’ and ‘what is happening’ in ecosystems. Yet, most workflows have been optimised for laboratory sequencing, and decision-grade field use has remained sporadic. In this article, field-ready eRNA panels are defined as curated sets of transcripts paired with process controls and a transparent scoring rule, and a build–test pathway is described from marker discovery to deployment. Candidate markers are prioritised with field constraints in mind (abundance, specificity, persistence, and confounding seasonality), and RNA class choice (mRNA, rRNA, small, and other non-coding RNAs) is treated as a design lever for robustness. Pre-analytics are discussed as panel engineering, with emphasis placed on capture, rapid stabilisation, and inhibitor management to preserve multi-marker relationships. Field readout options are then compared, including isothermal amplification, CRISPR-assisted detection, portable qPCR, and portable nanopore sequencing for on-site verification and panel refresh. Finally, minimum controls and staged validation levels are proposed to support defensible ecological claims. Deliberate attention is directed toward shared terminology and testable standards so that discussion within and between ecology, diagnostics, and conservation practice is stimulated and priorities for future investigations are sharpened.
{"title":"Building Field-Ready Environmental RNA Panels","authors":"Mehran Khorshid, Zahra Alizadeh Khatibani, Ehsan Pashay Ahi","doi":"10.1111/mec.70593","DOIUrl":"10.1111/mec.70593","url":null,"abstract":"<p>Environmental RNA (eRNA) has been increasingly used to move beyond ‘who is there’ toward ‘who is active’ and ‘what is happening’ in ecosystems. Yet, most workflows have been optimised for laboratory sequencing, and decision-grade field use has remained sporadic. In this article, field-ready eRNA panels are defined as curated sets of transcripts paired with process controls and a transparent scoring rule, and a build–test pathway is described from marker discovery to deployment. Candidate markers are prioritised with field constraints in mind (abundance, specificity, persistence, and confounding seasonality), and RNA class choice (mRNA, rRNA, small, and other non-coding RNAs) is treated as a design lever for robustness. Pre-analytics are discussed as panel engineering, with emphasis placed on capture, rapid stabilisation, and inhibitor management to preserve multi-marker relationships. Field readout options are then compared, including isothermal amplification, CRISPR-assisted detection, portable qPCR, and portable nanopore sequencing for on-site verification and panel refresh. Finally, minimum controls and staged validation levels are proposed to support defensible ecological claims. Deliberate attention is directed toward shared terminology and testable standards so that discussion within and between ecology, diagnostics, and conservation practice is stimulated and priorities for future investigations are sharpened.</p>","PeriodicalId":210,"journal":{"name":"Molecular Ecology","volume":"35 20","pages":""},"PeriodicalIF":3.7,"publicationDate":"2026-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/mec.70593","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149190463","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}
Yi-Ming Weng, David H. Kavanaugh, Bryan Rubio-Perez, Jad Salman, Mikhail A. Kats, Sean D. Schoville
The metallic colour variation of beetles is a spectacular feature that has inspired diverse human cultures. However, little is known about the genetic basis of this trait or its ecological importance. In this study, we characterize the geographical distribution, optical mechanism, genetic basis and ecological and evolutionary importance of metallic colour variation in the Nebria ingens complex, an alpine ground beetle in the Sierra Nevada, California. We find that elytral colour varies continuously across two allopatric species (from black N. ingens to green N. riversi), with hybrid populations showing intermediate coloration, and we demonstrate that the metallic colour is generated from multilayer reflectors in the epicuticle of the elytra. By applying association mapping in natural populations (wild-GWAS) using high-density genotype variants, we identify five promising candidate genes covarying with metallic variation, with known roles in cuticle formation and pigmentation pathways. This finding, together with a significant correlation between colour variation and water availability, suggests that metallic variation evolves as a local adaptation to environmental variation in the N. ingens complex.
{"title":"The Genomic Landscape of Metallic Colour Variation in Ground Beetles","authors":"Yi-Ming Weng, David H. Kavanaugh, Bryan Rubio-Perez, Jad Salman, Mikhail A. Kats, Sean D. Schoville","doi":"10.1111/mec.70591","DOIUrl":"https://doi.org/10.1111/mec.70591","url":null,"abstract":"<p>The metallic colour variation of beetles is a spectacular feature that has inspired diverse human cultures. However, little is known about the genetic basis of this trait or its ecological importance. In this study, we characterize the geographical distribution, optical mechanism, genetic basis and ecological and evolutionary importance of metallic colour variation in the <i>Nebria ingens</i> complex, an alpine ground beetle in the Sierra Nevada, California. We find that elytral colour varies continuously across two allopatric species (from black <i>N. ingens</i> to green <i>N. riversi</i>), with hybrid populations showing intermediate coloration, and we demonstrate that the metallic colour is generated from multilayer reflectors in the epicuticle of the elytra. By applying association mapping in natural populations (wild-GWAS) using high-density genotype variants, we identify five promising candidate genes covarying with metallic variation, with known roles in cuticle formation and pigmentation pathways. This finding, together with a significant correlation between colour variation and water availability, suggests that metallic variation evolves as a local adaptation to environmental variation in the <i>N. ingens</i> complex.</p>","PeriodicalId":210,"journal":{"name":"Molecular Ecology","volume":"35 20","pages":""},"PeriodicalIF":3.7,"publicationDate":"2026-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/mec.70591","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149205830","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}
Enrique Celemín, Kristín E. Tiedemann, Katja Havenstein, Harald Benke, Per Berggren, Michael Dähne, Judith Denkinger, Lisa Klemens, Christina Lockyer, Iwona Pawliczka, Anna Roos, Ursula Siebert, Linda Westphal, Ralph Tiedemann
Understanding how demography and natural selection interact during colonization of novel environments is a central question in evolutionary biology. The Baltic Sea region combines one of the world's strongest salinity gradients with a well-characterized postglacial history of less than ~12,000 years. The harbour porpoise (Phocoena phocoena) is distributed across this gradient as three populations—the North Sea, Belt Sea and Proper Baltic Sea populations. Using whole genome resequencing data from 59 individuals, we reconstructed the demographic history of Baltic colonization and identified genomic signatures of local adaptation. Demographic modelling supported a sequential colonization in which the Belt Sea population diverged first from an ancestral North Sea population, followed by an independent divergence of the Proper Baltic Sea population, with two equally supported timing hypotheses placing initial colonization either during the Yoldia Sea (~11,800 years ago) or the Baltic Sea period (~8000 years ago). The Proper Baltic Sea population showed drift-dominated divergence consistent with a founder effect, while two discrete genomic islands of differentiation with selective sweep signatures were identified between North and Belt Sea populations, pointing to recent positive selection. Both regions contain osmoregulatory candidate genes, most notably SCNN1D, encoding part of the epithelial Na+ channels, a key regulator of sodium homeostasis. A non-synonymous mutation in SCNN1D showed striking allele frequency divergence along the salinity gradient, confirmed across ~400 individuals. Together, these results reveal how genetic drift and divergent selection interact to drive rapid adaptation to a brackish environment, and identify SCNN1D as a compelling candidate for cetacean osmoregulatory adaptation.
{"title":"Drift and Selection in a Recently Colonized Sea: The Genomic Basis of Adaptation to Low-Salinity Waters in Baltic Harbour Porpoises","authors":"Enrique Celemín, Kristín E. Tiedemann, Katja Havenstein, Harald Benke, Per Berggren, Michael Dähne, Judith Denkinger, Lisa Klemens, Christina Lockyer, Iwona Pawliczka, Anna Roos, Ursula Siebert, Linda Westphal, Ralph Tiedemann","doi":"10.1111/mec.70595","DOIUrl":"https://doi.org/10.1111/mec.70595","url":null,"abstract":"<p>Understanding how demography and natural selection interact during colonization of novel environments is a central question in evolutionary biology. The Baltic Sea region combines one of the world's strongest salinity gradients with a well-characterized postglacial history of less than ~12,000 years. The harbour porpoise (<i>Phocoena phocoena</i>) is distributed across this gradient as three populations—the North Sea, Belt Sea and Proper Baltic Sea populations. Using whole genome resequencing data from 59 individuals, we reconstructed the demographic history of Baltic colonization and identified genomic signatures of local adaptation. Demographic modelling supported a sequential colonization in which the Belt Sea population diverged first from an ancestral North Sea population, followed by an independent divergence of the Proper Baltic Sea population, with two equally supported timing hypotheses placing initial colonization either during the Yoldia Sea (~11,800 years ago) or the Baltic Sea period (~8000 years ago). The Proper Baltic Sea population showed drift-dominated divergence consistent with a founder effect, while two discrete genomic islands of differentiation with selective sweep signatures were identified between North and Belt Sea populations, pointing to recent positive selection. Both regions contain osmoregulatory candidate genes, most notably SCNN1D, encoding part of the epithelial Na<sup>+</sup> channels, a key regulator of sodium homeostasis. A non-synonymous mutation in SCNN1D showed striking allele frequency divergence along the salinity gradient, confirmed across ~400 individuals. Together, these results reveal how genetic drift and divergent selection interact to drive rapid adaptation to a brackish environment, and identify SCNN1D as a compelling candidate for cetacean osmoregulatory adaptation.</p>","PeriodicalId":210,"journal":{"name":"Molecular Ecology","volume":"35 20","pages":""},"PeriodicalIF":3.7,"publicationDate":"2026-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/mec.70595","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149205925","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}
S. Geneste, M. Gautier, S. Boitard, J. Ronfort, A. M. Chevre, C. Falentin, M. Tiret, G. Deniot, L. Gay
As climate change drives rapid environmental shifts, crops face significant challenges due to their limited adaptive genetic diversity, threatening food security. Crop wild relatives and potentially feral populations can serve as valuable reservoirs of adaptive diversity for breeding. Exploring and conserving this diversity is therefore essential, as it may encompass a wide range of adaptations. In this study, we investigate the genetic basis of local climate adaptation and the risk of maladaptation under future conditions in spontaneous populations—naturally occurring in the wild—of Brassica rapa (field mustard). A total of 62 populations were sampled, revealing strong differentiation between feral (France, Slovenia) and wild (Algeria, Sicily) populations. A genome–environment association analysis identified genomic regions associated with climatic variables, with broader patterns suggesting a polygenic architecture. Feral populations broadened the climatic range explored, but their reduced genetic diversity limited our ability to capture the full spectrum of adaptive variation in wild populations, indicating that the genetic architecture of climate adaptation is only partly shared between the two groups. We also used genomic offset (GO) analyses to assess mismatches between current and predicted-optimal genetic composition under 2050 climate projections. A common garden experiment indicated that GO captures some component of fitness variation, with feral populations providing additional predictive information beyond the environmental space occupied by wild populations. These findings highlight the complex genetic architecture of climate adaptation in B. rapa, as well as the potential and limitations of genomic tools for guiding conservation and crop improvement under climate change.
{"title":"Insight Into the Genetic Architecture of Local (Mal)Adaptation in Wild and Feral Brassica rapa Populations","authors":"S. Geneste, M. Gautier, S. Boitard, J. Ronfort, A. M. Chevre, C. Falentin, M. Tiret, G. Deniot, L. Gay","doi":"10.1111/mec.70596","DOIUrl":"10.1111/mec.70596","url":null,"abstract":"<p>As climate change drives rapid environmental shifts, crops face significant challenges due to their limited adaptive genetic diversity, threatening food security. Crop wild relatives and potentially feral populations can serve as valuable reservoirs of adaptive diversity for breeding. Exploring and conserving this diversity is therefore essential, as it may encompass a wide range of adaptations. In this study, we investigate the genetic basis of local climate adaptation and the risk of maladaptation under future conditions in spontaneous populations—naturally occurring in the wild—of <i>Brassica rapa</i> (field mustard). A total of 62 populations were sampled, revealing strong differentiation between feral (France, Slovenia) and wild (Algeria, Sicily) populations. A genome–environment association analysis identified genomic regions associated with climatic variables, with broader patterns suggesting a polygenic architecture. Feral populations broadened the climatic range explored, but their reduced genetic diversity limited our ability to capture the full spectrum of adaptive variation in wild populations, indicating that the genetic architecture of climate adaptation is only partly shared between the two groups. We also used genomic offset (GO) analyses to assess mismatches between current and predicted-optimal genetic composition under 2050 climate projections. A common garden experiment indicated that GO captures some component of fitness variation, with feral populations providing additional predictive information beyond the environmental space occupied by wild populations. These findings highlight the complex genetic architecture of climate adaptation in <i>B. rapa</i>, as well as the potential and limitations of genomic tools for guiding conservation and crop improvement under climate change.</p>","PeriodicalId":210,"journal":{"name":"Molecular Ecology","volume":"35 20","pages":""},"PeriodicalIF":3.7,"publicationDate":"2026-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/mec.70596","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149190454","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}