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The advantages of going large: genome‐wide SNP s clarify the complex population history and systematics of the threatened western pond turtle

Phillip Q. Spinks; Robert C. Thomson; H. Bradley Shaffer
Molecular Ecology · Vol. 23, Issue 9 · pp. 2228-2241 · 2014

Abstract

As the field of phylogeography has matured, it has become clear that analyses of one or a few genes may reveal more about the history of those genes than the populations and species that are the targets of study. To alleviate these concerns, the discipline has moved towards larger analyses of more individuals and more genes, although little attention has been paid to the qualitative or quantitative gains that such increases in scale and scope may yield. Here, we increase the number of individuals and markers by an order of magnitude over previously published work to comprehensively assess the phylogeographical history of a well‐studied declining species, the western pond turtle ( Emys marmorata ). We present a new analysis of 89 independent nuclear SNP markers and one mitochondrial gene sequence scored for rangewide sampling of >900 individuals, and compare these to smaller‐scale, rangewide genetic and morphological analyses. Our enlarged SNP data fundamentally revise our understanding of evolutionary history for this lineage. Our results indicate that the gains from greatly increasing both the number of markers and individuals are substantial and worth the effort, particularly for species of high conservation concern such as the pond turtle, where accurate assessments of population history are a prerequisite for effective management.

Bibliographic Information

JournalMolecular Ecology
PublisherWiley
Publication Date2014-05-01
Publication Year2014
Volume23
Issue9
Pages2228-2241
Document TypeJournal Article
Print ISSN0962-1083
eISSN1365-294X
DOI10.1111/mec.12736
SubjectEcology & Organismal Biology

Access Information

NARA Access Coverage1997-01-01~Current
Journal Homepagehttps://onlinelibrary.wiley.com/loi/1365294X
Publisher PageOpen Publisher Page
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