Genes mirror geography in Daphnia magna. Issue 17 (26th August 2015)

• Record Type: Journal Article
• Authors: Fields, Peter D.; Reisser, Céline; Dukić, Marinela; Haag, Christoph R.; Ebert, Dieter
• Is Part Of: Molecular ecology. Volume 24:Issue 17(2015)
• Page Start: 4521
• Page End: 4536
• Publication Date: 2015-08-26
• Subjects: Molecular ecology -- Periodicals; Molecular population biology -- Periodicals; 576
• DOI: 10.1111/mec.13324
• Languages: English
• ISSNs: 0962-1083

Abstract

<abstract abstract-type="main" id="mec13324-abs-0001"> <title>Abstract</title> <p>Identifying the presence and magnitude of population genetic structure remains a major consideration in evolutionary biology as doing so allows one to understand the demographic history of a species as well as make predictions of how the evolutionary process will proceed. Next‐generation sequencing methods allow us to reconsider previous ideas and conclusions concerning the distribution of genetic variation, and what this distribution implies about a given species evolutionary history. A previous phylogeographic study of the crustacean <italic>Daphnia magna</italic> suggested that, despite strong genetic differentiation among populations at a local scale, the species shows only moderate genetic structure across its European range, with a spatially patchy occurrence of individual lineages. We apply RAD sequencing to a sample of <italic>D. magna</italic> collected across a wide swath of the species' Eurasian range and analyse the data using principle component analysis (PCA) of genetic variation and Procrustes analytical approaches, to quantify spatial genetic structure. We find remarkable consistency between the first two PCA axes and the geographic coordinates of individual sampling points, suggesting that, on a continent‐wide scale, genetic differentiation is driven to a large extent by geographic distance. The observed pattern is consistent with unimpeded (i.e. no barriers, landscape or otherwise) migration at large spatial scales, despite the fragmented and patchy nature of favourable habitats at local scales. With high‐resolution genetic data similar patterns may be uncovered for other species with wide geographic distributions, allowing an increased understanding of how genetic drift and selection have shaped their evolutionary history.</p> </abstract>