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Genome-wide association studies for feed intake and efficiency in two laying periods of chickens
BACKGROUND: Feed contributes to over 60 % of the total production costs in the poultry industry. Increasing feed costs prompt geneticists to include feed intake and efficiency as selection goals in breeding programs. In the present study, we used an F(2) chicken population in a genome-wide associati...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4608132/ https://www.ncbi.nlm.nih.gov/pubmed/26475174 http://dx.doi.org/10.1186/s12711-015-0161-1 |
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author | Yuan, Jingwei Wang, Kehua Yi, Guoqiang Ma, Meng Dou, Taocun Sun, Congjiao Qu, Lu-Jiang Shen, Manman Qu, Liang Yang, Ning |
author_facet | Yuan, Jingwei Wang, Kehua Yi, Guoqiang Ma, Meng Dou, Taocun Sun, Congjiao Qu, Lu-Jiang Shen, Manman Qu, Liang Yang, Ning |
author_sort | Yuan, Jingwei |
collection | PubMed |
description | BACKGROUND: Feed contributes to over 60 % of the total production costs in the poultry industry. Increasing feed costs prompt geneticists to include feed intake and efficiency as selection goals in breeding programs. In the present study, we used an F(2) chicken population in a genome-wide association study (GWAS) to detect potential genetic variants and candidate genes associated with daily feed intake (FI) and feed efficiency, including residual feed intake (RFI) and feed conversion ratio (FCR). METHODS: A total of 1534 F(2) hens from a White Leghorn and Dongxiang reciprocal cross were phenotyped for feed intake and efficiency between 37 and 40 weeks (FI1, RFI1, and FCR1) and between 57 and 60 weeks (FI2, RFI2, and FCR2), and genotyped using the chicken 600 K single nucleotide polymorphism (SNP) genotyping array. Univariate, bivariate, and conditional genome-wide association studies (GWAS) were performed with GEMMA, a genome-wide efficient mixed model association algorithm. The statistical significance threshold for association was inferred by the simpleM method. RESULTS: We identified eight genomic regions that each contained at least one genetic variant that showed a significant association with FI. Genomic regions on Gallus gallus (GGA) chromosome 4 coincided with known quantitative trait loci (QTL) that affect feed intake of layers. Of particular interest, eight SNPs on GGA1 in the region between 169.23 and 171.55 Mb were consistently associated with FI in both univariate and bivariate GWAS, which explained 3.72 and 2.57 % of the phenotypic variance of FI1 and FI2, respectively. The CAB39L gene can be considered as a promising candidate for FI1. For RFI, a haplotype block on GGA27 harbored a significant SNP associated with RFI2. The major allele of rs315135692 was favorable for a lower RFI, with a phenotypic difference of 3.35 g/day between opposite homozygous genotypes. Strong signals on GGA1 were detected in the bivariate GWAS for FCR. CONCLUSIONS: The results demonstrated the polygenic nature of feed intake. GWAS identified novel variants and confirmed a QTL that was previously reported for feed intake in chickens. Genetic variants associated with feed efficiency may be used in genomic breeding programs to select more efficient layers. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12711-015-0161-1) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4608132 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-46081322015-10-17 Genome-wide association studies for feed intake and efficiency in two laying periods of chickens Yuan, Jingwei Wang, Kehua Yi, Guoqiang Ma, Meng Dou, Taocun Sun, Congjiao Qu, Lu-Jiang Shen, Manman Qu, Liang Yang, Ning Genet Sel Evol Research Article BACKGROUND: Feed contributes to over 60 % of the total production costs in the poultry industry. Increasing feed costs prompt geneticists to include feed intake and efficiency as selection goals in breeding programs. In the present study, we used an F(2) chicken population in a genome-wide association study (GWAS) to detect potential genetic variants and candidate genes associated with daily feed intake (FI) and feed efficiency, including residual feed intake (RFI) and feed conversion ratio (FCR). METHODS: A total of 1534 F(2) hens from a White Leghorn and Dongxiang reciprocal cross were phenotyped for feed intake and efficiency between 37 and 40 weeks (FI1, RFI1, and FCR1) and between 57 and 60 weeks (FI2, RFI2, and FCR2), and genotyped using the chicken 600 K single nucleotide polymorphism (SNP) genotyping array. Univariate, bivariate, and conditional genome-wide association studies (GWAS) were performed with GEMMA, a genome-wide efficient mixed model association algorithm. The statistical significance threshold for association was inferred by the simpleM method. RESULTS: We identified eight genomic regions that each contained at least one genetic variant that showed a significant association with FI. Genomic regions on Gallus gallus (GGA) chromosome 4 coincided with known quantitative trait loci (QTL) that affect feed intake of layers. Of particular interest, eight SNPs on GGA1 in the region between 169.23 and 171.55 Mb were consistently associated with FI in both univariate and bivariate GWAS, which explained 3.72 and 2.57 % of the phenotypic variance of FI1 and FI2, respectively. The CAB39L gene can be considered as a promising candidate for FI1. For RFI, a haplotype block on GGA27 harbored a significant SNP associated with RFI2. The major allele of rs315135692 was favorable for a lower RFI, with a phenotypic difference of 3.35 g/day between opposite homozygous genotypes. Strong signals on GGA1 were detected in the bivariate GWAS for FCR. CONCLUSIONS: The results demonstrated the polygenic nature of feed intake. GWAS identified novel variants and confirmed a QTL that was previously reported for feed intake in chickens. Genetic variants associated with feed efficiency may be used in genomic breeding programs to select more efficient layers. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12711-015-0161-1) contains supplementary material, which is available to authorized users. BioMed Central 2015-10-16 /pmc/articles/PMC4608132/ /pubmed/26475174 http://dx.doi.org/10.1186/s12711-015-0161-1 Text en © Yuan et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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 Yuan, Jingwei Wang, Kehua Yi, Guoqiang Ma, Meng Dou, Taocun Sun, Congjiao Qu, Lu-Jiang Shen, Manman Qu, Liang Yang, Ning Genome-wide association studies for feed intake and efficiency in two laying periods of chickens |
title | Genome-wide association studies for feed intake and efficiency in two laying periods of chickens |
title_full | Genome-wide association studies for feed intake and efficiency in two laying periods of chickens |
title_fullStr | Genome-wide association studies for feed intake and efficiency in two laying periods of chickens |
title_full_unstemmed | Genome-wide association studies for feed intake and efficiency in two laying periods of chickens |
title_short | Genome-wide association studies for feed intake and efficiency in two laying periods of chickens |
title_sort | genome-wide association studies for feed intake and efficiency in two laying periods of chickens |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4608132/ https://www.ncbi.nlm.nih.gov/pubmed/26475174 http://dx.doi.org/10.1186/s12711-015-0161-1 |
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