Single nucleotide polymorphisms and haplotypes associated with feed efficiency in beef cattle
Author
Serao, NickGonzalez-Pena, Dianelys
Beever, Jonathan
Faulkner, Dan
Southey, Bruce
Rodriguez-Zas, Sandra
Affiliation
Department of Animal Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, USAAnimal Sciences Department, University of Arizona, Tucson, AZ, USA
Department of Statistics, University of Illinois at Urbana-Champaign, Champaign, IL, USA
Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA
Issue Date
2013Keywords
Feed efficiencyBeef cattle
Single nucleotide polymorphism
Haplotype
Functional analysis
MAPK pathway
Serine/Threonine kinase activity
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BioMed CentralCitation
Serão et al. BMC Genetics 2013, 14:94 http://www.biomedcentral.com/1471-2156/14/94Journal
BMC GeneticsRights
© 2013 Serão et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0).Collection Information
This item is part of the UA Faculty Publications collection. For more information this item or other items in the UA Campus Repository, contact the University of Arizona Libraries at repository@u.library.arizona.edu.Abstract
BACKGROUND:General, breed- and diet-dependent associations between feed efficiency in beef cattle and single nucleotide polymorphisms (SNPs) or haplotypes were identified on a population of 1321 steers using a 50K SNP panel. Genomic associations with traditional two-step indicators of feed efficiency - residual feed intake (RFI), residual average daily gain (RADG), and residual intake gain (RIG) - were compared to associations with two complementary one-step indicators of feed efficiency: efficiency of intake (EI) and efficiency of gain (EG). Associations uncovered in a training data set were evaluated on independent validation data set. A multi-SNP model was developed to predict feed efficiency. Functional analysis of genes harboring SNPs significantly associated with feed efficiency and network visualization aided in the interpretation of the results.RESULTS:For the five feed efficiency indicators, the numbers of general, breed-dependent, and diet-dependent associations with SNPs (P-value<0.0001) were 31, 40, and 25, and with haplotypes were six, ten, and nine, respectively. Of these, 20 SNP and six haplotype associations overlapped between RFI and EI, and five SNP and one haplotype associations overlapped between RADG and EG. This result confirms the complementary value of the one and two-step indicators. The multi-SNP models included 89 SNPs and offered a precise prediction of the five feed efficiency indicators. The associations of 17 SNPs and 7 haplotypes with feed efficiency were confirmed on the validation data set. Nine clusters of Gene Ontology and KEGG pathway categories (mean P-value<0.001) including, 9nucleotide bindingion transport, phosphorous metabolic process, and the MAPK signaling pathway were overrepresented among the genes harboring the SNPs associated with feed efficiency.CONCLUSIONS:The general SNP associations suggest that a single panel of genomic variants can be used regardless of breed and diet. The breed- and diet-dependent associations between SNPs and feed efficiency suggest that further refinement of variant panels require the consideration of the breed and management practices. The unique genomic variants associated with the one- and two-step indicators suggest that both types of indicators offer complementary description of feed efficiency that can be exploited for genome-enabled selection purposes.
EISSN
1471-2156Version
Final published versionAdditional Links
http://www.biomedcentral.com/1471-2156/14/94ae974a485f413a2113503eed53cd6c53
10.1186/1471-2156-14-94
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Except where otherwise noted, this item's license is described as © 2013 Serão et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0).