Association mapping of morphological traits in wild and captive zebra finches: reliable within, but not between populations
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 (SNP s) 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 SNP s) 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 SNP s 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 SNP s are not the causal QTN but rather physically linked to them, and that LD between SNP s 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.
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The null distribution of p values is uniform on [0,1] and p values are independent and identically distributed.
“The null distribution of p values is uniform on the interval [0,1] and because all p values are independent and identically distributed, we constructed concentration bands using a beta-distribution (cf. Casella & Berger, 2002; Knief et al., 2017; QQ-plots of expected vs. observed p values are depicted in Fig. S1).”
From Violating the normality assumption may be the lesser of two evils (2021) · cites this paper as Knief et al., 2017
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Violating the normality assumption may be the lesser of two evils
Knief, U., & Forstmeier, W. (2021) · Behavior Research Methods · doi:10.3758/s13428-021-01587-5 · Cited by 654 · see citing works
Self-citation
- Authors
- Knief, U., Schielzeth, H., Backström, N., Hemmrich‐Stanisak, G., Wittig, M., Franke, A., Griffith, S. C., Ellegren, H., Kempenaers, B., & Forstmeier, W.
- Affiliations
- Max Planck Society (DE)
- Friedrich Schiller University Jena (DE)
- Uppsala University (SE)
- Christian-Albrechts-Universität zu Kiel (DE)
- Institute of Clinical Molecular Biology Christian‐Albrechts‐University 24105 Kiel Germany
- UNSW Sydney (AU)
- Corresponding author
- Knief, Ulrich
- ORCID
- Venue
- Molecular Ecology
- Publisher
- Wiley
- Published
- 2017-02-06
- Volume
- 26
- Issue
- 5
- Pages
- 1285-1305
- ISSN
- 0962-1083 (ISSN-L)
- 1365-294X
- OpenAlex
- W2575038454
- Cited by
- 17
- References
- 6
- Citations by year
- 2025: 1 · 2022: 1 · 2021: 3 · 2020: 1 · 2019: 2 · 2018: 7 · 2017: 2
- FWCI
- 2.18
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Molecular Ecology (publishedVersion)
- PubMed (publishedVersion)
- Max Planck Digital Library (submittedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- Funders
- Max-Planck-Gesellschaft
- Australian Research Council
- Deutsche Forschungsgemeinschaft (SCHI 1188/1‐2, SCHI 1188/1-2)
- International Max Planck Research School for Organismal Biology
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic and phenotypic traits in livestock
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic diversity and population structure
- Keywords
- zebra finch, quantitative trait loci, morphological characters, association mapping, linkage disequilibrium, founder effect, single nucleotide polymorphisms, candidate genes, heritable phenotypic variation, non-model organisms
- MeSH terms
- Animals, Chromosome Mapping, Genetics, Population, Genotype, Phenotype, Linkage Disequilibrium, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Finches
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