An overview of current population genomics methods for the analysis of whole‐genome resequencing data in eukaryotes. Issue 23 (19th June 2021)

• Record Type: Journal Article
• Authors: Bourgeois, Yann X. C.; Warren, Ben H.
• Other Names: Jensen Evelyn L. guestEditor.; Taylor Rebecca S. guestEditor.; Coltman David W. guestEditor.; Foote Andrew D. guestEditor.; Lamichhaney Sangeet guestEditor.
• Is Part Of: Molecular ecology. Volume 30:Issue 23(2021)
• Page Start: 6036
• Page End: 6071
• Publication Date: 2021-06-19
• Subjects: bioinformatics -- demography -- population genomics -- selection -- whole‐genome sequencing; Molecular ecology -- Periodicals; Molecular population biology -- Periodicals; 576
• DOI: 10.1111/mec.15989
• Languages: English
• ISSNs: 0962-1083

Abstract

Abstract: Characterizing the population history of a species and identifying loci underlying local adaptation is crucial in functional ecology, evolutionary biology, conservation and agronomy. The constant improvement of high‐throughput sequencing techniques has facilitated the production of whole genome data in a wide range of species. Population genomics now provides tools to better integrate selection into a historical framework, and take into account selection when reconstructing demographic history. However, this improvement has come with a profusion of analytical tools that can confuse and discourage users. Such confusion limits the amount of information effectively retrieved from complex genomic data sets, and impairs the diffusion of the most recent analytical tools into fields such as conservation biology. It may also lead to redundancy among methods. To address these isssues, we propose an overview of more than 100 state‐of‐the‐art methods that can deal with whole genome data. We summarize the strategies they use to infer demographic history and selection, and discuss some of their limitations. A website listing these methods is available at www.methodspopgen.com .