Detection of signatures of selection using FST

Porto-Neto, Laercio R., Lee, Seung Hwan, Lee, Hak Kyo and Gondro, Cedric (2013) Detection of signatures of selection using FST. Methods in Molecular Biology, 1019 423-436. doi:10.1007/978-1-62703-447-0-19

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Author Porto-Neto, Laercio R.
Lee, Seung Hwan
Lee, Hak Kyo
Gondro, Cedric
Title Detection of signatures of selection using FST
Journal name Methods in Molecular Biology   Check publisher's open access policy
ISSN 1064-3745
1940-6029
ISBN 9781627034463
9781627034470
Publication date 2013-01-01
Year available 2013
Sub-type Article (original research)
DOI 10.1007/978-1-62703-447-0-19
Volume 1019
Start page 423
End page 436
Total pages 14
Place of publication New York, NY United States
Publisher Humana Press Inc.
Collection year 2014
Language eng
Subject 1312 Molecular Biology
1311 Genetics
Abstract Natural selection has molded the evolution of species across all taxa. Much more recently, on an evolutionary scale, human-oriented selection started to play an important role in shaping organisms, markedly so after the domestication of animals and plants. These selection processes have left traceable marks in the genome. Following from the recent advances in molecular genetics technologies, a number of methods have been developed to detect such signals, termed genomic signatures of selection. In this chapter we discuss a straightforward protocol based on the F ST statistic to identify genomic regions that exhibit high variation in allelic frequency between groups, which is a characteristic of genomic regions that have gone through differential selection. How to define the borders of these regions and further explore its genetic content is then discussed.
Keyword Adaptation
Divergence
Evolution
Population genetics
Q-Index Code CX
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
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