Riedel, Nico ORCID: 0000-0002-3808-1163, Khatri, Bhavin S., Laessig, Michael and Berg, Johannes (2015). Multiple-Line Inference of Selection on Quantitative Traits. Genetics, 201 (1). S. 305 - 323. BETHESDA: GENETICS SOCIETY AMERICA. ISSN 1943-2631

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Abstract

Trait differences between species may be attributable to natural selection. However, quantifying the strength of evidence for selection acting on a particular trait is a difficult task. Here we develop a population genetics test for selection acting on a quantitative trait that is based on multiple-line crosses. We show that using multiple lines increases both the power and the scope of selection inferences. First, a test based on three or more lines detects selection with strongly increased statistical significance, and we show explicitly how the sensitivity of the test depends on the number of lines. Second, a multiple-line test can distinguish between different lineage-specific selection scenarios. Our analytical results are complemented by extensive numerical simulations. We then apply the multiple-line test to QTL data on floral character traits in plant species of the Mimulus genus and on photoperiodic traits in different maize strains, where we find a signature of lineage-specific selection not seen in two-line tests.

Item Type: Journal Article
Creators:
CreatorsEmailORCIDORCID Put Code
Riedel, NicoUNSPECIFIEDorcid.org/0000-0002-3808-1163UNSPECIFIED
Khatri, Bhavin S.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Laessig, MichaelUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Berg, JohannesUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
URN: urn:nbn:de:hbz:38-394207
DOI: 10.1534/genetics.115.178988
Journal or Publication Title: Genetics
Volume: 201
Number: 1
Page Range: S. 305 - 323
Date: 2015
Publisher: GENETICS SOCIETY AMERICA
Place of Publication: BETHESDA
ISSN: 1943-2631
Language: English
Faculty: Unspecified
Divisions: Unspecified
Subjects: no entry
Uncontrolled Keywords:
KeywordsLanguage
FACTOR-BINDING SITES; DROSOPHILA-MELANOGASTER; GENETIC ARCHITECTURE; EVOLUTIONARY BIOLOGY; STATISTICAL-MECHANICS; ADAPTIVE EVOLUTION; QTL DETECTION; SIGN TEST; LOCI; MAIZEMultiple languages
Genetics & HeredityMultiple languages
URI: http://kups.ub.uni-koeln.de/id/eprint/39420

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