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Identification of genomic regions associated with feed efficiency in Nelore cattle

BACKGROUND: 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 Illum...

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Autores principales: de Oliveira, Priscila SN, Cesar, Aline SM, do Nascimento, Michele L, Chaves, Amália S, Tizioto, Polyana C, Tullio, Rymer R, Lanna, Dante PD, Rosa, Antonio N, Sonstegard, Tad S, Mourao, Gerson B, Reecy, James M, Garrick, Dorian J, Mudadu, Maurício A, Coutinho, Luiz L, Regitano, Luciana CA
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4198703/
https://www.ncbi.nlm.nih.gov/pubmed/25257854
http://dx.doi.org/10.1186/s12863-014-0100-0
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author de Oliveira, Priscila SN
Cesar, Aline SM
do Nascimento, Michele L
Chaves, Amália S
Tizioto, Polyana C
Tullio, Rymer R
Lanna, Dante PD
Rosa, Antonio N
Sonstegard, Tad S
Mourao, Gerson B
Reecy, James M
Garrick, Dorian J
Mudadu, Maurício A
Coutinho, Luiz L
Regitano, Luciana CA
author_facet de Oliveira, Priscila SN
Cesar, Aline SM
do Nascimento, Michele L
Chaves, Amália S
Tizioto, Polyana C
Tullio, Rymer R
Lanna, Dante PD
Rosa, Antonio N
Sonstegard, Tad S
Mourao, Gerson B
Reecy, James M
Garrick, Dorian J
Mudadu, Maurício A
Coutinho, Luiz L
Regitano, Luciana CA
author_sort de Oliveira, Priscila SN
collection PubMed
description BACKGROUND: 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. RESULTS: 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 Bos taurus. 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: HRH4, ALDH7A1, APOA2, LIN7C, CXADR, ADAM12 and MAP7. CONCLUSIONS: 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12863-014-0100-0) contains supplementary material, which is available to authorized users.
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spelling pubmed-41987032014-10-23 Identification of genomic regions associated with feed efficiency in Nelore cattle de Oliveira, Priscila SN Cesar, Aline SM do Nascimento, Michele L Chaves, Amália S Tizioto, Polyana C Tullio, Rymer R Lanna, Dante PD Rosa, Antonio N Sonstegard, Tad S Mourao, Gerson B Reecy, James M Garrick, Dorian J Mudadu, Maurício A Coutinho, Luiz L Regitano, Luciana CA BMC Genet Research Article BACKGROUND: 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. RESULTS: 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 Bos taurus. 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: HRH4, ALDH7A1, APOA2, LIN7C, CXADR, ADAM12 and MAP7. CONCLUSIONS: 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12863-014-0100-0) contains supplementary material, which is available to authorized users. BioMed Central 2014-09-26 /pmc/articles/PMC4198703/ /pubmed/25257854 http://dx.doi.org/10.1186/s12863-014-0100-0 Text en © de Oliveira et al.; licensee BioMed Central Ltd. 2014 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
de Oliveira, Priscila SN
Cesar, Aline SM
do Nascimento, Michele L
Chaves, Amália S
Tizioto, Polyana C
Tullio, Rymer R
Lanna, Dante PD
Rosa, Antonio N
Sonstegard, Tad S
Mourao, Gerson B
Reecy, James M
Garrick, Dorian J
Mudadu, Maurício A
Coutinho, Luiz L
Regitano, Luciana CA
Identification of genomic regions associated with feed efficiency in Nelore cattle
title Identification of genomic regions associated with feed efficiency in Nelore cattle
title_full Identification of genomic regions associated with feed efficiency in Nelore cattle
title_fullStr Identification of genomic regions associated with feed efficiency in Nelore cattle
title_full_unstemmed Identification of genomic regions associated with feed efficiency in Nelore cattle
title_short Identification of genomic regions associated with feed efficiency in Nelore cattle
title_sort identification of genomic regions associated with feed efficiency in nelore cattle
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4198703/
https://www.ncbi.nlm.nih.gov/pubmed/25257854
http://dx.doi.org/10.1186/s12863-014-0100-0
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