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Standing genetic variation as a major contributor to adaptation in the Virginia chicken lines selection experiment.
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2015 (English)In: Genome Biology, ISSN 1465-6906, E-ISSN 1474-760X, Vol. 16Article in journal (Refereed) Published
Abstract [en]

BACKGROUND: Artificial selection provides a powerful approach to study the genetics of adaptation. Using selective-sweep mapping, it is possible to identify genomic regions where allele-frequencies have diverged during selection. To avoid false positive signatures of selection, it is necessary to show that a sweep affects a selected trait before it can be considered adaptive. Here, we confirm candidate, genome-wide distributed selective sweeps originating from the standing genetic variation in a long-term selection experiment on high and low body weight of chickens.

RESULTS: Using an intercross between the two divergent chicken lines, 16 adaptive selective sweeps were confirmed based on their association with the body weight at 56 days of age. Although individual additive effects were small, the fixation for alternative alleles across the loci contributed at least 40 % of the phenotypic difference for the selected trait between these lines. The sweeps contributed about half of the additive genetic variance present within and between the lines after 40 generations of selection, corresponding to a considerable portion of the additive genetic variance of the base population.

CONCLUSIONS: Long-term, single-trait, bi-directional selection in the Virginia chicken lines has resulted in a gradual response to selection for extreme phenotypes without a drastic reduction in the genetic variation. We find that fixation of several standing genetic variants across a highly polygenic genetic architecture made a considerable contribution to long-term selection response. This provides new fundamental insights into the dynamics of standing genetic variation during long-term selection and adaptation.

Place, publisher, year, edition, pages
2015. Vol. 16
National Category
Natural Sciences
Research subject
Bioinformatics
Identifiers
URN: urn:nbn:se:uu:diva-294197DOI: 10.1186/s13059-015-0785-zPubMedID: 26438066OAI: oai:DiVA.org:uu-294197DiVA: diva2:929249
Available from: 2016-05-18 Created: 2016-05-18 Last updated: 2016-05-18

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Carlborg, Örjan
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