Exploring a Pool-seq-only approach for gaining population genomic insights in nonmodel species.

ABSTRACT: Developing genomic insights is challenging in nonmodel species for which resources are often scarce and prohibitively costly. Here, we explore the potential of a recently established approach using Pool-seq data to generate a de novo genome assembly for mining exons, upon which Pool-seq data are used to estimate population divergence and diversity. We do this for two pairs of sympatric populations of brown trout (Salmo trutta): one naturally sympatric set of populations and another pair of populations introduced to a common environment. We validate our approach by comparing the results to those from markers previously used to describe the populations (allozymes and individual-based single nucleotide polymorphisms [SNPs]) and from mapping the Pool-seq data to a reference genome of th

SUBMITTER: Kurland S 

PROVIDER: S-EPMC6802065 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature