Identification of QTL regions and candidate genes for growth and feed efficiency in broilers
Abstract 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 paramet...
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BMC
2021-02-01
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Series: | Genetics Selection Evolution |
Online Access: | https://doi.org/10.1186/s12711-021-00608-3 |
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Article |
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DOAJ |
language |
deu |
format |
Article |
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DOAJ |
author |
Wei Li Maiqing Zheng Guiping Zhao Jie Wang Jie Liu Shunli Wang Furong Feng Dawei Liu Dan Zhu Qinghe Li Liping Guo Yuming Guo Ranran Liu Jie Wen |
spellingShingle |
Wei Li Maiqing Zheng Guiping Zhao Jie Wang Jie Liu Shunli Wang Furong Feng Dawei Liu Dan Zhu Qinghe Li Liping Guo Yuming Guo Ranran Liu Jie Wen Identification of QTL regions and candidate genes for growth and feed efficiency in broilers Genetics Selection Evolution |
author_facet |
Wei Li Maiqing Zheng Guiping Zhao Jie Wang Jie Liu Shunli Wang Furong Feng Dawei Liu Dan Zhu Qinghe Li Liping Guo Yuming Guo Ranran Liu Jie Wen |
author_sort |
Wei Li |
title |
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_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_sort |
identification of qtl regions and candidate genes for growth and feed efficiency in broilers |
publisher |
BMC |
series |
Genetics Selection Evolution |
issn |
1297-9686 |
publishDate |
2021-02-01 |
description |
Abstract 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. |
url |
https://doi.org/10.1186/s12711-021-00608-3 |
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doaj-2c1478ac858b4ea0a91ae4de12b843cd2021-02-07T12:20:53ZdeuBMCGenetics Selection Evolution1297-96862021-02-0153111710.1186/s12711-021-00608-3Identification of QTL regions and candidate genes for growth and feed efficiency in broilersWei Li0Maiqing Zheng1Guiping Zhao2Jie Wang3Jie Liu4Shunli Wang5Furong Feng6Dawei Liu7Dan Zhu8Qinghe Li9Liping Guo10Yuming Guo11Ranran Liu12Jie Wen13State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural SciencesState Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural SciencesState Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural SciencesState Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural SciencesState Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural SciencesState Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural SciencesFoshan Gaoming Xinguang Agricultural and Animal Industrials CorporationFoshan Gaoming Xinguang Agricultural and Animal Industrials CorporationFoshan Gaoming Xinguang Agricultural and Animal Industrials CorporationState Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural SciencesState Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural SciencesCollege of Animal Science and Technology, China Agricultural UniversityState Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural SciencesState Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural SciencesAbstract 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.https://doi.org/10.1186/s12711-021-00608-3 |