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Genome-wide association analysis of egg production performance in chickens across the whole laying period

BACKGROUND: Egg production is the most economically-important trait in layers as it directly influences benefits of the poultry industry. To better understand the genetic architecture of egg production, we measured traits including age at first egg (AFE), weekly egg number (EN) from onset of laying...

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Autores principales: Liu, Zhuang, Yang, Ning, Yan, Yiyuan, Li, Guangqi, Liu, Aiqiao, Wu, Guiqin, Sun, Congjiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6693279/
https://www.ncbi.nlm.nih.gov/pubmed/31412760
http://dx.doi.org/10.1186/s12863-019-0771-7
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author Liu, Zhuang
Yang, Ning
Yan, Yiyuan
Li, Guangqi
Liu, Aiqiao
Wu, Guiqin
Sun, Congjiao
author_facet Liu, Zhuang
Yang, Ning
Yan, Yiyuan
Li, Guangqi
Liu, Aiqiao
Wu, Guiqin
Sun, Congjiao
author_sort Liu, Zhuang
collection PubMed
description BACKGROUND: Egg production is the most economically-important trait in layers as it directly influences benefits of the poultry industry. To better understand the genetic architecture of egg production, we measured traits including age at first egg (AFE), weekly egg number (EN) from onset of laying eggs to 80 weeks which was divided into five stage (EN1: from onset of laying eggs to 23 weeks, EN2: from 23 to 37 weeks, EN3: from 37 to 50 weeks, EN4: from 50 to 61 weeks, EN5: from 61 to 80 weeks) based on egg production curve and total egg number across the whole laying period (Total-EN). Then we performed genome-wide association studies (GWAS) in 1078 Rhode Island Red hens using a linear mixed model. RESULTS: Estimates of pedigree and SNP-based genetic parameter showed that AFE and EN1 exhibited high heritability (0.51 ± 0.09, 0.53 ± 0.08), while the h2 for EN in other stages varied from low (0.07 ± 0.04) to moderate (0.24 ± 0.07) magnitude. Subsequently, seven univariate GWAS for AFE and ENs were carried out independently, from which a total of 161 candidate SNPs located on GGA1, GGA2, GGA5, GGA6, GGA9 and GGA24 were identified. Thirteen SNP located on GGA6 were associated with AFE and an interesting gene PRLHR that may affect AFE through regulating oxytocin secretion in chickens. Sixteen genome-wide significant SNPs associated with EN3 were in a strong linkage disequilibrium (LD) region spanning from 117.87 Mb to 118.36 Mb on GGA1 and the most significant SNP (rs315777735) accounted for 3.57% of phenotypic variance. Genes POLA1, PDK3, PRDX4 and APOO identified by annotating sixteen genome-wide significant SNPs can be considered as candidates associated with EN3. Unfortunately, our study did not find any candidate gene for the total egg number. CONCLUSIONS: Findings in our study could provide promising genes and SNP markers to improve egg production performance based on marker-assisted breeding selection, while further functional validation is still needed in other populations. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12863-019-0771-7) contains supplementary material, which is available to authorized users.
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spelling pubmed-66932792019-08-19 Genome-wide association analysis of egg production performance in chickens across the whole laying period Liu, Zhuang Yang, Ning Yan, Yiyuan Li, Guangqi Liu, Aiqiao Wu, Guiqin Sun, Congjiao BMC Genet Research Article BACKGROUND: Egg production is the most economically-important trait in layers as it directly influences benefits of the poultry industry. To better understand the genetic architecture of egg production, we measured traits including age at first egg (AFE), weekly egg number (EN) from onset of laying eggs to 80 weeks which was divided into five stage (EN1: from onset of laying eggs to 23 weeks, EN2: from 23 to 37 weeks, EN3: from 37 to 50 weeks, EN4: from 50 to 61 weeks, EN5: from 61 to 80 weeks) based on egg production curve and total egg number across the whole laying period (Total-EN). Then we performed genome-wide association studies (GWAS) in 1078 Rhode Island Red hens using a linear mixed model. RESULTS: Estimates of pedigree and SNP-based genetic parameter showed that AFE and EN1 exhibited high heritability (0.51 ± 0.09, 0.53 ± 0.08), while the h2 for EN in other stages varied from low (0.07 ± 0.04) to moderate (0.24 ± 0.07) magnitude. Subsequently, seven univariate GWAS for AFE and ENs were carried out independently, from which a total of 161 candidate SNPs located on GGA1, GGA2, GGA5, GGA6, GGA9 and GGA24 were identified. Thirteen SNP located on GGA6 were associated with AFE and an interesting gene PRLHR that may affect AFE through regulating oxytocin secretion in chickens. Sixteen genome-wide significant SNPs associated with EN3 were in a strong linkage disequilibrium (LD) region spanning from 117.87 Mb to 118.36 Mb on GGA1 and the most significant SNP (rs315777735) accounted for 3.57% of phenotypic variance. Genes POLA1, PDK3, PRDX4 and APOO identified by annotating sixteen genome-wide significant SNPs can be considered as candidates associated with EN3. Unfortunately, our study did not find any candidate gene for the total egg number. CONCLUSIONS: Findings in our study could provide promising genes and SNP markers to improve egg production performance based on marker-assisted breeding selection, while further functional validation is still needed in other populations. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12863-019-0771-7) contains supplementary material, which is available to authorized users. BioMed Central 2019-08-14 /pmc/articles/PMC6693279/ /pubmed/31412760 http://dx.doi.org/10.1186/s12863-019-0771-7 Text en © The Author(s). 2019 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
Liu, Zhuang
Yang, Ning
Yan, Yiyuan
Li, Guangqi
Liu, Aiqiao
Wu, Guiqin
Sun, Congjiao
Genome-wide association analysis of egg production performance in chickens across the whole laying period
title Genome-wide association analysis of egg production performance in chickens across the whole laying period
title_full Genome-wide association analysis of egg production performance in chickens across the whole laying period
title_fullStr Genome-wide association analysis of egg production performance in chickens across the whole laying period
title_full_unstemmed Genome-wide association analysis of egg production performance in chickens across the whole laying period
title_short Genome-wide association analysis of egg production performance in chickens across the whole laying period
title_sort genome-wide association analysis of egg production performance in chickens across the whole laying period
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6693279/
https://www.ncbi.nlm.nih.gov/pubmed/31412760
http://dx.doi.org/10.1186/s12863-019-0771-7
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