Identification of Genomic Regions Associated with Feed Efficiency in Nelore Cattle

dc.contributor.author Oliveira, Priscila
dc.contributor.author Reecy, James
dc.contributor.author Cesar, Aline
dc.contributor.author do Nascimento, Michele
dc.contributor.author Chaves, Amália
dc.contributor.author Tizioto, Polyana
dc.contributor.author Tullio, Rymer
dc.contributor.author Lanna, Dante
dc.contributor.author Rosa, Antonio
dc.contributor.author Sonstegard, Tad
dc.contributor.author Mourão, Gerson
dc.contributor.author Reecy, James
dc.contributor.author Garrick, Dorian
dc.contributor.author Mudadu, Maurício
dc.contributor.author Coutinho, Luiz
dc.contributor.author Regitano, Luciana
dc.contributor.department Animal Science
dc.date 2018-02-17T04:14:41.000
dc.date.accessioned 2020-06-29T23:38:37Z
dc.date.available 2020-06-29T23:38:37Z
dc.date.issued 2014-01-01
dc.description.abstract <p>Feed efficiency is jointly determined by productivity and feed requirements, both of which are economically relevant traits in beef cattle production systems. The objective of this study was to identify genes/QTLs associated with components of feed efficiency in Nelore cattle using Illumina BovineHD BeadChip (770 k SNP) genotypes from 593 Nelore steers. The traits analyzed included: average daily gain (ADG), dry matter intake (DMI), feed-conversion ratio (FCR), feed efficiency (FE), residual feed intake (RFI), maintenance efficiency (ME), efficiency of gain (EG), partial efficiency of growth (PEG) and relative growth rate (RGR). The Bayes B analysis was completed with Gensel software parameterized to fit fewer markers than animals. Genomic windows containing all the SNP loci in each 1 Mb that accounted for more than 1.0% of genetic variance were considered as QTL region. Candidate genes within windows that explained more than 1% of genetic variance were selected by putative function based on DAVID and Gene Ontology. Thirty-six QTL (1-Mb SNP window) were identified on chromosomes 1, 2, 3, 5, 6, 7, 8, 9, 10, 12, 14, 15, 16, 18, 19, 20, 21, 22, 24, 25 and 26 (UMD 3.1). The amount of genetic variance explained by individual QTL windows for feed efficiency traits ranged from 0.5% to 9.07%. Some of these QTL minimally overlapped with previously reported feed efficiency QTL for <em>Bos taurus</em>. The QTL regions described in this study harbor genes with biological functions related to metabolic processes, lipid and protein metabolism, generation of energy and growth. Among the positional candidate genes selected for feed efficiency are: <em>HRH4, ALDH7A1, APOA2, LIN7C, CXADR, ADAM12</em>and <em>MAP7. </em>Some genomic regions and some positional candidate genes reported in this study have not been previously reported for feed efficiency traits in Bos indicus. Comparison with published results indicates that different QTLs and genes may be involved in the control of feed efficiency traits in this Nelore cattle population, as compared to Bos taurus cattle.</p>
dc.description.comments <p>This article is from <em>BMS Genomics</em> 15 (2014): 100, doi:<a href="http://dx.doi.org/10.1186/s12863-014-0100-0" target="_blank">10.1186/s12863-014-0100-0</a>.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/ans_pubs/159/
dc.identifier.articleid 1156
dc.identifier.contextkey 7768361
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath ans_pubs/159
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/9559
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/ans_pubs/159/2014_Reecy_IdentificationGenomic.pdf|||Fri Jan 14 20:48:13 UTC 2022
dc.source.uri 10.1186/s12863-014-0100-0
dc.subject.disciplines Agriculture
dc.subject.disciplines Animal Sciences
dc.subject.disciplines Genomics
dc.subject.disciplines Meat Science
dc.subject.keywords Bos indicus
dc.subject.keywords Candidate gene
dc.subject.keywords Residual feed intake
dc.subject.keywords Single nucleotide polymorphisms
dc.title Identification of Genomic Regions Associated with Feed Efficiency in Nelore Cattle
dc.type article
dc.type.genre article
dspace.entity.type Publication
relation.isAuthorOfPublication fb994cd9-94d5-4370-94ab-f33934c4cd6f
relation.isOrgUnitOfPublication 85ecce08-311a-441b-9c4d-ee2a3569506f
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