Detecting the Genomic Signature of Divergent Selection in Presence of Gene Flow.

Abstract:

:The study of local adaptation is a main focus of evolutionary biology since it may contribute to explain the current species diversity. The genomic scan procedures permit for the first time to study the connection between specific DNA patterns and processes as natural selection, genetic drift, recombination, mutation and gene flow. Accordingly, the information on genomes from non-model organisms increases and the interest on detecting the signal of natural selection in the DNA sequences of different populations also raises. The main goal of the present work is to explore a sequence-based method for detecting natural selection in divergent populations connected by migration. In doing so, we rely on a recently published statistic based upon th e definition of haplotype allelic classes (HAC). The original measure was modified to be more sensitive to intermediate frequencies in non-model species. A linkage-disequilibrium-based method was also assayed and individual-based simulations were performed to test the methods. The results suggest that the HAC-based methods and, specifically, the new proposed method are quite powerful for detecting the footprint of moderate divergent selection. They are also robust to reasonable model misspecification. One obvious advantage of the new algorithm is that it does not require knowledge of the allelic state.

journal_name

Curr Genomics

journal_title

Current genomics

authors

Rivas MJ,Domínguez-García S,Carvajal-Rodríguez A

doi

10.2174/1389202916666150313230943

subject

Has Abstract

pub_date

2015-06-01 00:00:00

pages

203-12

issue

3

eissn

1389-2029

issn

1875-5488

pii

CG-16-203

journal_volume

16

pub_type

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