Genomic dissection of variation in clutch size and egg mass in a wild great tit (Parus major) population
Clutch size and egg mass are life history traits that have been extensively studied in wild bird populations, as life history theory predicts a negative trade‐off between them, either at the phenotypic or at the genetic level. Here, we analyse the genomic architecture of these heritable traits in a...
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Published in | Molecular ecology Vol. 22; no. 15; pp. 3949 - 3962 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Oxford
Blackwell Publishing Ltd
01.08.2013
Blackwell Wiley |
Subjects | |
Online Access | Get full text |
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Summary: | Clutch size and egg mass are life history traits that have been extensively studied in wild bird populations, as life history theory predicts a negative trade‐off between them, either at the phenotypic or at the genetic level. Here, we analyse the genomic architecture of these heritable traits in a wild great tit (Parus major) population, using three marker‐based approaches – chromosome partitioning, quantitative trait locus (QTL) mapping and a genome‐wide association study (GWAS). The variance explained by each great tit chromosome scales with predicted chromosome size, no location in the genome contains genome‐wide significant QTL, and no individual SNPs are associated with a large proportion of phenotypic variation, all of which may suggest that variation in both traits is due to many loci of small effect, located across the genome. There is no evidence that any regions of the genome contribute significantly to both traits, which combined with a small, nonsignificant negative genetic covariance between the traits, suggests the absence of genetic constraints on the independent evolution of these traits. Our findings support the hypothesis that variation in life history traits in natural populations is likely to be determined by many loci of small effect spread throughout the genome, which are subject to continued input of variation by mutation and migration, although we cannot exclude the possibility of an additional input of major effect genes influencing either trait. |
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Bibliography: | istex:5AF0B3FB6481C00FB14B461074B38F796150B008 Appendix S1 Physical mapping of markers that could not be placed on the linkage map. Appendix S2 Individual and environmental variables and the model coefficients and significance of their contribution to variation in clutch size and egg mass when fitted in a linear model. Appendix S3 Correspondence between the test statistics obtained from the clutch size and egg mass QTL scans. Appendix S4 QTL mapping power analysis. Appendix S5 Genome wide association analysis of clutch size and egg mass, using phenotype values instead of breeding values. Appendix S6 Variance and covariance partitioning for a bivariate polygenic model (see 'bivariate analysis') including both clutch size (1424 records, 902 individuals) and egg mass (1424 records, 902 individuals), using the full marker set of 5591 SNPs to partition additive genetic variance and covariance. Numbers in parentheses are standard errors. ark:/67375/WNG-NP9CNKVV-P ArticleID:MEC12376 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-1 ObjectType-Feature-2 content type line 23 ObjectType-Article-2 |
ISSN: | 0962-1083 1365-294X 1365-294X |
DOI: | 10.1111/mec.12376 |