Connecting thermal performance curve variation to the genotype: a multivariate QTL approach

Latimer, C. A. L., Foley, B. R. and Chenoweth, S. F. (2015) Connecting thermal performance curve variation to the genotype: a multivariate QTL approach. Journal of Evolutionary Biology, 28 1: 155-168. doi:10.1111/jeb.12552

Author Latimer, C. A. L.
Foley, B. R.
Chenoweth, S. F.
Title Connecting thermal performance curve variation to the genotype: a multivariate QTL approach
Journal name Journal of Evolutionary Biology   Check publisher's open access policy
ISSN 1420-9101
Publication date 2015-01-01
Year available 2015
Sub-type Article (original research)
DOI 10.1111/jeb.12552
Open Access Status
Volume 28
Issue 1
Start page 155
End page 168
Total pages 14
Place of publication Chichester, West Sussex United Kingdom
Publisher Wiley-Blackwell Publishing
Collection year 2016
Language eng
Formatted abstract
Thermal performance curves (TPCs) are continuous reaction norms that describe the relationship between organismal performance and temperature and are useful for understanding trade-offs involved in thermal adaptation. Although thermal trade-offs such as those between generalists and specialists or between hot- and cold-adapted phenotypes are known to be genetically variable and evolve during thermal adaptation, little is known of the genetic basis to TPCs – specifically, the loci involved and the directionality of their effects across different temperatures. To address this, we took a multivariate approach, mapping quantitative trait loci (QTL) for locomotor activity TPCs in the fly, Drosophila serrata, using a panel of 76 recombinant inbred lines. The distribution of additive genetic (co)variance in the mapping population was remarkably similar to the distribution of mutational (co)variance for these traits. We detected 11 TPC QTL in females and 4 in males. Multivariate QTL effects were closely aligned with the major axes genetic (co)variation between temperatures; most QTL effects corresponded to variation for either overall increases or decreases in activity with a smaller number indicating possible trade-offs between activity at high and low temperatures. QTL representing changes in curve shape such as the ‘generalist–specialist’ trade-off, thought key to thermal adaptation, were poorly represented in the data. We discuss these results in the light of genetic constraints on thermal adaptation.
Keyword Function-valued traits
Quantitative trait loci
Thermal adaptation
Thermal performance curves
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2016 Collection
School of Biological Sciences Publications
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