Association mapping of morphological traits in wild and captive zebra finches: reliable within, but not between populations. Issue 5 (6th February 2017)

• Record Type: Journal Article
• Authors: Knief, Ulrich; Schielzeth, Holger; Backström, Niclas; Hemmrich‐Stanisak, Georg; Wittig, Michael; Franke, Andre; Griffith, Simon C.; Ellegren, Hans; Kempenaers, Bart; Forstmeier, Wolfgang
• Is Part Of: Molecular ecology. Volume 26:Issue 5(2017)
• Page Start: 1285
• Page End: 1305
• Publication Date: 2017-02-06
• Subjects: association study -- genotype–phenotype maps -- linkage mapping -- morphology -- quantitative trait locus -- standing genetic variation; Molecular ecology -- Periodicals; Molecular population biology -- Periodicals; 576
• DOI: 10.1111/mec.14009
• Languages: English
• ISSNs: 0962-1083

Abstract

Abstract: Identifying causal genetic variants underlying heritable phenotypic variation is a long‐standing goal in evolutionary genetics. We previously identified several quantitative trait loci (QTL) for five morphological traits in a captive population of zebra finches ( Taeniopygia guttata ) by whole‐genome linkage mapping. We here follow up on these studies with the aim to narrow down on the quantitative trait variants (QTN) in one wild and three captive populations. First, we performed an association study using 672 single nucleotide polymorphisms (SNPs) within candidate genes located in the previously identified QTL regions in a sample of 939 wild‐caught zebra finches. Then, we validated the most promising SNP–phenotype associations ( n = 25 SNPs) in 5228 birds from four populations. Genotype–phenotype associations were generally weak in the wild population, where linkage disequilibrium (LD) spans only short genomic distances. In contrast, in captive populations, where LD blocks are large, apparent SNP effects on morphological traits (i.e. associations) were highly repeatable with independent data from the same population. Most of those SNPs also showed significant associations with the same trait in other captive populations, but the direction and magnitude of these effects varied among populations. This suggests that the tested SNPs are not the causal QTN but rather physically linked to them, and that LD between SNPs and causal variants differs between populations due to founder effects. While the identification of QTN remains challenging in nonmodel organisms, we illustrate that it is indeed possible to confirm the location and magnitude of QTL in a population with stable linkage between markers and causal variants.