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Identification of QTL regions and candidate genes for growth and feed efficiency in broilers

BACKGROUND: Feed accounts for about 70% of the total cost of poultry meat production. Residual feed intake (RFI) has become the preferred measure of feed efficiency because it is phenotypically independent of growth rate and body weight. In this study, our aim was to estimate genetic parameters and...

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Autores principales: Li, Wei, Zheng, Maiqing, Zhao, Guiping, Wang, Jie, Liu, Jie, Wang, Shunli, Feng, Furong, Liu, Dawei, Zhu, Dan, Li, Qinghe, Guo, Liping, Guo, Yuming, Liu, Ranran, Wen, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7866652/
https://www.ncbi.nlm.nih.gov/pubmed/33549052
http://dx.doi.org/10.1186/s12711-021-00608-3
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author Li, Wei
Zheng, Maiqing
Zhao, Guiping
Wang, Jie
Liu, Jie
Wang, Shunli
Feng, Furong
Liu, Dawei
Zhu, Dan
Li, Qinghe
Guo, Liping
Guo, Yuming
Liu, Ranran
Wen, Jie
author_facet Li, Wei
Zheng, Maiqing
Zhao, Guiping
Wang, Jie
Liu, Jie
Wang, Shunli
Feng, Furong
Liu, Dawei
Zhu, Dan
Li, Qinghe
Guo, Liping
Guo, Yuming
Liu, Ranran
Wen, Jie
author_sort Li, Wei
collection PubMed
description BACKGROUND: Feed accounts for about 70% of the total cost of poultry meat production. Residual feed intake (RFI) has become the preferred measure of feed efficiency because it is phenotypically independent of growth rate and body weight. In this study, our aim was to estimate genetic parameters and identify quantitative trait loci (QTL) for feed efficiency in 3314 purebred broilers using a genome-wide association study. Broilers were genotyped using a custom 55 K single nucleotide polymorphism (SNP) array. RESULTS: Estimates of genomic heritability for seven growth and feed efficiency traits, including body weight at 28 days of age (BW28), BW42, average daily feed intake (ADFI), RFI, and RFI adjusted for weight of abdominal fat (RFIa), ranged from 0.12 to 0.26. Eleven genome-wide significant SNPs and 15 suggestively significant SNPs were detected, of which 19 clustered around two genomic regions. A region on chromosome 16 (2.34–2.66 Mb) was associated with both BW28 and BW42, and the most significant SNP in this region, AX_101003762, accounted for 7.6% of the genetic variance of BW28. The other region, on chromosome 1 (91.27–92.43 Mb) was associated with RFI and ADFI, and contains the NSUN3 and EPHA6 as candidate genes. The most significant SNP in this region, AX_172588157, accounted for 4.4% of the genetic variance of RFI. In addition, a genomic region containing the gene AGK on chromosome 1 was found to be associated with RFIa. The NSUN3 and AGK genes were found to be differentially expressed in breast muscle, thigh muscle, and abdominal fat between male broilers with high and low RFI. CONCLUSIONS: We identified QTL regions for BW28 and BW42 (spanning 0.32 Mb) and RFI (spanning 1.16 Mb). The NSUN3, EPHA6, and AGK were identified as the most likely candidate genes for these QTL. These genes are involved in mitochondrial function and behavioral regulation. These results contribute to the identification of candidate genes and variants for growth and feed efficiency in poultry.
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spelling pubmed-78666522021-02-08 Identification of QTL regions and candidate genes for growth and feed efficiency in broilers Li, Wei Zheng, Maiqing Zhao, Guiping Wang, Jie Liu, Jie Wang, Shunli Feng, Furong Liu, Dawei Zhu, Dan Li, Qinghe Guo, Liping Guo, Yuming Liu, Ranran Wen, Jie Genet Sel Evol Research Article BACKGROUND: Feed accounts for about 70% of the total cost of poultry meat production. Residual feed intake (RFI) has become the preferred measure of feed efficiency because it is phenotypically independent of growth rate and body weight. In this study, our aim was to estimate genetic parameters and identify quantitative trait loci (QTL) for feed efficiency in 3314 purebred broilers using a genome-wide association study. Broilers were genotyped using a custom 55 K single nucleotide polymorphism (SNP) array. RESULTS: Estimates of genomic heritability for seven growth and feed efficiency traits, including body weight at 28 days of age (BW28), BW42, average daily feed intake (ADFI), RFI, and RFI adjusted for weight of abdominal fat (RFIa), ranged from 0.12 to 0.26. Eleven genome-wide significant SNPs and 15 suggestively significant SNPs were detected, of which 19 clustered around two genomic regions. A region on chromosome 16 (2.34–2.66 Mb) was associated with both BW28 and BW42, and the most significant SNP in this region, AX_101003762, accounted for 7.6% of the genetic variance of BW28. The other region, on chromosome 1 (91.27–92.43 Mb) was associated with RFI and ADFI, and contains the NSUN3 and EPHA6 as candidate genes. The most significant SNP in this region, AX_172588157, accounted for 4.4% of the genetic variance of RFI. In addition, a genomic region containing the gene AGK on chromosome 1 was found to be associated with RFIa. The NSUN3 and AGK genes were found to be differentially expressed in breast muscle, thigh muscle, and abdominal fat between male broilers with high and low RFI. CONCLUSIONS: We identified QTL regions for BW28 and BW42 (spanning 0.32 Mb) and RFI (spanning 1.16 Mb). The NSUN3, EPHA6, and AGK were identified as the most likely candidate genes for these QTL. These genes are involved in mitochondrial function and behavioral regulation. These results contribute to the identification of candidate genes and variants for growth and feed efficiency in poultry. BioMed Central 2021-02-06 /pmc/articles/PMC7866652/ /pubmed/33549052 http://dx.doi.org/10.1186/s12711-021-00608-3 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.
spellingShingle Research Article
Li, Wei
Zheng, Maiqing
Zhao, Guiping
Wang, Jie
Liu, Jie
Wang, Shunli
Feng, Furong
Liu, Dawei
Zhu, Dan
Li, Qinghe
Guo, Liping
Guo, Yuming
Liu, Ranran
Wen, Jie
Identification of QTL regions and candidate genes for growth and feed efficiency in broilers
title Identification of QTL regions and candidate genes for growth and feed efficiency in broilers
title_full Identification of QTL regions and candidate genes for growth and feed efficiency in broilers
title_fullStr Identification of QTL regions and candidate genes for growth and feed efficiency in broilers
title_full_unstemmed Identification of QTL regions and candidate genes for growth and feed efficiency in broilers
title_short Identification of QTL regions and candidate genes for growth and feed efficiency in broilers
title_sort identification of qtl regions and candidate genes for growth and feed efficiency in broilers
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7866652/
https://www.ncbi.nlm.nih.gov/pubmed/33549052
http://dx.doi.org/10.1186/s12711-021-00608-3
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