Floriaan Devloo-Delva, Thierry Gosselin, Paul A. Butcher, Peter M. Grewe, Charlie Huveneers, Robin B. Thomson, Jonathan M. Werry, Pierre Feutry
{"title":"An R-based tool for identifying sex-linked markers from restriction site-associated DNA sequencing with applications to elasmobranch conservation","authors":"Floriaan Devloo-Delva, Thierry Gosselin, Paul A. Butcher, Peter M. Grewe, Charlie Huveneers, Robin B. Thomson, Jonathan M. Werry, Pierre Feutry","doi":"10.1007/s12686-023-01331-5","DOIUrl":null,"url":null,"abstract":"<p>Identifying sex-linked markers from genomic data has both theoretical and applied importance, especially in conservation. Yet, few methods and tools exist to detect such markers from Restriction-site-Associated DNA sequencing reads and even fewer tools can identify sex-linked markers from existing genotyped data. Here, we describe a new R function that can identify sex-linked markers in species with partially non-recombining sex chromosomes. We test the accuracy and speed of our function with an example dataset from a species of conservation concern, the White Shark, <i>Carcharodon carcharias</i>. We further compare our method against other approaches and find that our method detects more sex-linked markers that can be reliably mapped to reference genomes. Overall, we provide a conservation and fisheries-relevant tool that can reliably and efficiently assign sex from genetic data in species with a heterogametic sex and we demonstrate its utility by developing a sex-identification PCR test for White Sharks.</p>","PeriodicalId":0,"journal":{"name":"","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1007/s12686-023-01331-5","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Identifying sex-linked markers from genomic data has both theoretical and applied importance, especially in conservation. Yet, few methods and tools exist to detect such markers from Restriction-site-Associated DNA sequencing reads and even fewer tools can identify sex-linked markers from existing genotyped data. Here, we describe a new R function that can identify sex-linked markers in species with partially non-recombining sex chromosomes. We test the accuracy and speed of our function with an example dataset from a species of conservation concern, the White Shark, Carcharodon carcharias. We further compare our method against other approaches and find that our method detects more sex-linked markers that can be reliably mapped to reference genomes. Overall, we provide a conservation and fisheries-relevant tool that can reliably and efficiently assign sex from genetic data in species with a heterogametic sex and we demonstrate its utility by developing a sex-identification PCR test for White Sharks.