生物
基因分型
SNP基因分型
微卫星
进化生物学
遗传学
单核苷酸多态性
渗入
濒危物种
SNP公司
近亲繁殖
人口
基因型
等位基因
生态学
基因
人口学
社会学
栖息地
作者
Agathe Lévêque,Jean‐François Arnaud,Vincent Vignon,Clément Mazoyer,Cécile Godé,Anne Duputié
标识
DOI:10.1093/jhered/esae073
摘要
Abstract Genomic markers are essential tools for studying species of conservation concern, yet nonmodel species often lack a reference genome. Here we describe a methodology for identifying and genotyping thousands of SNP loci in the southern damselfly (Coenagrion mercuriale), a bioindicator of freshwater stream quality classified as near-threatened, with locally declining populations. We used a hybrid approach combining reduced representation sequencing and target enrichment. First, we identified putative SNP loci using ddRADseq and de novo assembly. Then, single primer enrichment technology targeted 6000 of these SNPs across 1920 individuals. Challenges encountered included sequence recapture failure, coverage depth discrepancies, and aberrant FIS values. We provide recommendations to address such issues. After multiple filtering steps, 2092 SNPs were retained and used to analyze the genetic structure of 131 individuals belonging to 11 populations in France, comparing central and marginal populations. Genetic differentiation was lower among central populations, with no sign of inbreeding. As compared with microsatellite loci, SNPs exhibited greater resolution in detecting fine-scaled genetic structure, and identifying putative hybrids in adjacent populations. In this study, we emphasize the difficulties of large-scale SNP genotyping in nonmodel species via a hybrid method that ultimately did not offer the expected cost and time-saving compared with classical ddRAD approaches. However, SNPs showed greater power than previously available markers in identifying conservation units or admixture events, and the panel of reusable probes we describe here offers the potential to improve conservation efforts through future diachronic studies or finer estimations of key parameters like effective population size.
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