Partitioning of genetic variation across the genome using multimarker methods in a wild bird population

Robinson, Matthew R., Santure, Anna W., DeCauwer, Isabelle, Sheldon, Ben C. and Slate, Jon (2013) Partitioning of genetic variation across the genome using multimarker methods in a wild bird population. Molecular Ecology, 22 15: 3963-3980. doi:10.1111/mec.12375

Author Robinson, Matthew R.
Santure, Anna W.
DeCauwer, Isabelle
Sheldon, Ben C.
Slate, Jon
Title Partitioning of genetic variation across the genome using multimarker methods in a wild bird population
Journal name Molecular Ecology   Check publisher's open access policy
ISSN 0962-1083
Publication date 2013-08
Sub-type Article (original research)
DOI 10.1111/mec.12375
Volume 22
Issue 15
Start page 3963
End page 3980
Total pages 18
Place of publication Oxford, United Kingdom
Publisher Wiley-Blackwell Publishing
Collection year 2014
Language eng
Formatted abstract
The underlying basis of genetic variation in quantitative traits, in terms of the number of causal variants and the size of their effects, is largely unknown in natural populations. The expectation is that complex quantitative trait variation is attributable to many, possibly interacting, causal variants, whose effects may depend upon the sex, age and the environment in which they are expressed. A recently developed methodology in animal breeding derives a value of relatedness among individuals from high-density genomic marker data, to estimate additive genetic variance within livestock populations. Here, we adapt and test the effectiveness of these methods to partition genetic variation for complex traits across genomic regions within ecological study populations where individuals have varying degrees of relatedness. We then apply this approach for the first time to a natural population and demonstrate that genetic variation in wing length in the great tit (Parus major) reflects contributions from multiple genomic regions. We show that a polygenic additive mode of gene action best describes the patterns observed, and we find no evidence of dosage compensation for the sex chromosome. Our results suggest that most of the genomic regions that influence wing length have the same effects in both sexes. We found a limited amount of genetic variance in males that is attributed to regions that have no effects in females, which could facilitate the sexual dimorphism observed for this trait. Although this exploratory work focuses on one complex trait, the methodology is generally applicable to any trait for any laboratory or wild population, paving the way for investigating sex-, age- and environment-specific genetic effects and thus the underlying genetic architecture of phenotype in biological study systems.
Keyword Chromosome partitioning
Genetic architecture
Genomic relatedness
Molecular quantitative genetics
Partitioning genetic variance
Sex-specific genetic variance
Quantitative genetics
Complex traits
Human height
Common SNPs
Beak color
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Queensland Brain Institute Publications
Official 2014 Collection
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Citation counts: TR Web of Science Citation Count  Cited 21 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 22 times in Scopus Article | Citations
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