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Type: Journal article
Title: Detecting selection on temporal and spatial scales: a genomic time-series assessment of selective responses to devil facial tumor disease
Author: Bröniche-Olsen, A.
Austin, J.
Jones, M.
Holland, B.
Burridge, C.
Citation: PLoS One, 2016; 11(3):0147875-1-0147875-15
Publisher: Public Llibrary of Science
Issue Date: 2016
ISSN: 1932-6203
Editor: Aravanopoulos, F.
Statement of
Anna Brüniche-Olsen, Jeremy J. Austin, Menna E. Jones, Barbara R. Holland, Christopher P. Burridge
Abstract: Detecting loci under selection is an important task in evolutionary biology. In conservation genetics detecting selection is key to investigating adaptation to the spread of infectious disease. Loci under selection can be detected on a spatial scale, accounting for differences in demographic history among populations, or on a temporal scale, tracing changes in allele frequencies over time. Here we use these two approaches to investigate selective responses to the spread of an infectious cancer--devil facial tumor disease (DFTD)--that since 1996 has ravaged the Tasmanian devil (Sarcophilus harrisii). Using time-series 'restriction site associated DNA' (RAD) markers from populations pre- and post DFTD arrival, and DFTD free populations, we infer loci under selection due to DFTD and investigate signatures of selection that are incongruent among methods, populations, and times. The lack of congruence among populations influenced by DFTD with respect to inferred loci under selection, and the direction of that selection, fail to implicate a consistent selective role for DFTD. Instead genetic drift is more likely driving the observed allele frequency changes over time. Our study illustrates the importance of applying methods with different performance optima e.g. accounting for population structure and background selection, and assessing congruence of the results.
Keywords: Devil facial tumor disease
Rights: © 2016 Brüniche-Olsen et al. This is an open access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
DOI: 10.1371/journal.pone.0147875
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Appears in Collections:Aurora harvest 7
Genetics publications

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