Quantitative trait locus and genetical genomics analysis identifies putatively causal genes for fecundity and brooding in the chicken
2016 (English)In: G3: Genes, Genomes, Genetics, ISSN 2160-1836, E-ISSN 2160-1836, Vol. 6, no 2, 311-319 p.Article in journal (Refereed) Published
Life history traits such as fecundity are important to evolution, because they make up components of lifetime fitness. Due to their polygenic architectures, they are difficult to investigate with genetic mapping. Therefore, little is known about their molecular basis. One possible way towards finding the underlying genes is to map intermediary molecular phenotypes, such as gene expression traits. We set out to map candidate quantitative trait genes for egg fecundity in the chicken by combining quantitative trait locus mapping in an advanced intercross of wild by domestic chickens with expression quantitative trait locus mapping in the same birds. We measured individual egg fecundity in 232 intercross chickens in two consecutive trials, the second one aimed at measuring brooding. We find 12 loci for different aspects of egg fecundity. We then combine the genomic confidence intervals of these loci with expression quantitative trait loci from bone and hypothalamus in the same intercross. Overlaps between egg loci and expression loci, and trait—gene expression correlations identify 29 candidates from bone and five from hypothalamus. The candidate quantitative trait genes include fibroblast growth factor 1 and mitochondrial ribosomal proteins L42 and L32. In summary, we find putative quantitative trait genes for egg traits in the chicken that have may have been affected by regulatory variants under chicken domestication. These represent, to the best of our knowledge, some of the first candidate genes identified by genome-wide mapping for life history traits in an avian species.
Place, publisher, year, edition, pages
Bethesda, MD, United States: Genetics Society of America , 2016. Vol. 6, no 2, 311-319 p.
IdentifiersURN: urn:nbn:se:liu:diva-124211DOI: 10.1534/g3.115.024299ISI: 000369595300008PubMedID: 26637433OAI: oai:DiVA.org:liu-124211DiVA: diva2:896723
Funding agencies: Swedish Research Council (VR); Swedish Research Council for Environment, Agricultural Sciences and Spatial Planning (FORMAS); European Research Council2016-01-222016-01-222016-03-08