Abdalla, Emhimad A E; Makanjuola, Bayode O; Wood, Benjamin J; Baes, Christine F (2022). Genome-wide association study reveals candidate genes relevant to body weight in female turkeys (Meleagris gallopavo). PLoS ONE, 17(3), e0264838. Public Library of Science 10.1371/journal.pone.0264838
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The underlying genetic mechanisms affecting turkey growth traits have not been widely investigated. Genome-wide association studies (GWAS) is a powerful approach to identify candidate regions associated with complex phenotypes and diseases in livestock. In the present study, we performed GWAS to identify regions associated with 18-week body weight in a turkey population. The data included body weight observations for 24,989 female turkeys genotyped based on a 65K SNP panel. The analysis was carried out using a univariate mixed linear model with hatch-week-year and the 2 top principal components fitted as fixed effects and the accumulated polygenic effect of all markers captured by the genomic relationship matrix as random. Thirty-three significant markers were observed on 1, 2, 3, 4, 7 and 12 chromosomes, while 26 showed strong linkage disequilibrium extending up to 410 kb. These significant markers were mapped to 37 genes, of which 13 were novel. Interestingly, many of the investigated genes are known to be involved in growth and body weight. For instance, genes AKR1D1, PARP12, BOC, NCOA1, ADCY3 and CHCHD7 regulate growth, body weight, metabolism, digestion, bile acid biosynthetic and development of muscle cells. In summary, the results of our study revealed novel candidate genomic regions and candidate genes that could be managed within a turkey breeding program and adapted in fine mapping of quantitative trait loci to enhance genetic improvement in this species.
Item Type: |
Journal Article (Original Article) |
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Division/Institute: |
05 Veterinary Medicine > Department of Clinical Research and Veterinary Public Health (DCR-VPH) > Institute of Genetics |
UniBE Contributor: |
Baes, Christine Francoise |
Subjects: |
500 Science > 590 Animals (Zoology) 600 Technology > 630 Agriculture |
ISSN: |
1932-6203 |
Publisher: |
Public Library of Science |
Language: |
English |
Submitter: |
Pubmed Import |
Date Deposited: |
11 Mar 2022 10:06 |
Last Modified: |
05 Dec 2022 16:14 |
Publisher DOI: |
10.1371/journal.pone.0264838 |
PubMed ID: |
35271651 |
BORIS DOI: |
10.48350/167205 |
URI: |
https://boris.unibe.ch/id/eprint/167205 |
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