Integrating Selection Mapping With Genetic Mapping and Functional Genomics
Genomic scans for signatures of selection allow us to, in principle, detect variants and genes that underlie recent adaptations. By combining selection mapping with genetic mapping of traits known to be relevant to adaptation, we can simultaneously investigate whether genes and variants show signals...
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Published in | Frontiers in genetics Vol. 9; p. 603 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
Switzerland
Frontiers Media S.A
10.12.2018
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Subjects | |
Online Access | Get full text |
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Summary: | Genomic scans for signatures of selection allow us to, in principle, detect variants and genes that underlie recent adaptations. By combining selection mapping with genetic mapping of traits known to be relevant to adaptation, we can simultaneously investigate whether genes and variants show signals of recent selection and whether they impact traits that have likely been selected. There are three ways to integrate selection mapping with genetic mapping or functional genomics: (1) To use genetic mapping data from other populations as a form of genome annotation. (2) To perform experimental evolution or artificial selection to be able to study selected variants when they segregate, either by performing genetic mapping before selection or by crossing the selected individuals to some reference population. (3) To perform a comparative study of related populations facing different selection regimes. This short review discusses these different ways of integrating selection mapping with genetic mapping and functional genomics, with examples of how each has been done. |
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Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-3 content type line 23 ObjectType-Review-1 Reviewed by: Ryosuke Kimura, University of the Ryukyus, Japan; Tina T. Hu, Princeton University, United States This article was submitted to Evolutionary and Population Genetics, a section of the journal Frontiers in Genetics Edited by: Octavio Salgueiro Paulo, Universidade de Lisboa, Portugal |
ISSN: | 1664-8021 1664-8021 |
DOI: | 10.3389/fgene.2018.00603 |