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Genetic Architecture and Candidate Genes Identified for Follicle Number in Chicken

Follicular development has a major impact on reproductive performance. Most previous researchers focused on molecular mechanisms of follicular development. The genetic architecture underlying the number of follicle, however, has yet not to be thoroughly defined in chicken. Here we report a genome-wi...

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Autores principales: Shen, Manman, Sun, Hongyan, Qu, Liang, Ma, Meng, Dou, Taocun, Lu, Jian, Guo, Jun, Hu, Yuping, Wang, Xingguo, Li, Yongfeng, Wang, Kehua, Yang, Ning
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5703906/
https://www.ncbi.nlm.nih.gov/pubmed/29180824
http://dx.doi.org/10.1038/s41598-017-16557-1
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author Shen, Manman
Sun, Hongyan
Qu, Liang
Ma, Meng
Dou, Taocun
Lu, Jian
Guo, Jun
Hu, Yuping
Wang, Xingguo
Li, Yongfeng
Wang, Kehua
Yang, Ning
author_facet Shen, Manman
Sun, Hongyan
Qu, Liang
Ma, Meng
Dou, Taocun
Lu, Jian
Guo, Jun
Hu, Yuping
Wang, Xingguo
Li, Yongfeng
Wang, Kehua
Yang, Ning
author_sort Shen, Manman
collection PubMed
description Follicular development has a major impact on reproductive performance. Most previous researchers focused on molecular mechanisms of follicular development. The genetic architecture underlying the number of follicle, however, has yet not to be thoroughly defined in chicken. Here we report a genome-wide association study for the genetic architecture determining the numbers of follicles in a large F(2) resource population. The results showed heritability were low to moderate (0.05–0.28) for number of pre-ovulatory follicles (POF), small yellow follicles (SYF) and atresia follicles (AF). The highly significant SNPs associated with SYF were mainly located on GGA17 and GGA28. Only four significant SNPs were identified for POF on GGA1. The variance partitioned across chromosomes and chromosome lengths had a linear relationship for SYF (R(2) = 0.58). The enriched genes created by the closest correspondent significant SNPs were found to be involved in biological pathways related to cell proliferation, cell cycle and cell survival. Two promising candidate genes, AMH and RGS3, were suggested to be prognostic biomarkers for SYF. In conclusion, this study offers the first evidence of genetic variance and positional candidate genes which influence the number of SYF in chicken. These identified informative SNPs may facilitate selection for an improved reproductive performance of laying hens.
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spelling pubmed-57039062017-11-30 Genetic Architecture and Candidate Genes Identified for Follicle Number in Chicken Shen, Manman Sun, Hongyan Qu, Liang Ma, Meng Dou, Taocun Lu, Jian Guo, Jun Hu, Yuping Wang, Xingguo Li, Yongfeng Wang, Kehua Yang, Ning Sci Rep Article Follicular development has a major impact on reproductive performance. Most previous researchers focused on molecular mechanisms of follicular development. The genetic architecture underlying the number of follicle, however, has yet not to be thoroughly defined in chicken. Here we report a genome-wide association study for the genetic architecture determining the numbers of follicles in a large F(2) resource population. The results showed heritability were low to moderate (0.05–0.28) for number of pre-ovulatory follicles (POF), small yellow follicles (SYF) and atresia follicles (AF). The highly significant SNPs associated with SYF were mainly located on GGA17 and GGA28. Only four significant SNPs were identified for POF on GGA1. The variance partitioned across chromosomes and chromosome lengths had a linear relationship for SYF (R(2) = 0.58). The enriched genes created by the closest correspondent significant SNPs were found to be involved in biological pathways related to cell proliferation, cell cycle and cell survival. Two promising candidate genes, AMH and RGS3, were suggested to be prognostic biomarkers for SYF. In conclusion, this study offers the first evidence of genetic variance and positional candidate genes which influence the number of SYF in chicken. These identified informative SNPs may facilitate selection for an improved reproductive performance of laying hens. Nature Publishing Group UK 2017-11-27 /pmc/articles/PMC5703906/ /pubmed/29180824 http://dx.doi.org/10.1038/s41598-017-16557-1 Text en © The Author(s) 2017 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Shen, Manman
Sun, Hongyan
Qu, Liang
Ma, Meng
Dou, Taocun
Lu, Jian
Guo, Jun
Hu, Yuping
Wang, Xingguo
Li, Yongfeng
Wang, Kehua
Yang, Ning
Genetic Architecture and Candidate Genes Identified for Follicle Number in Chicken
title Genetic Architecture and Candidate Genes Identified for Follicle Number in Chicken
title_full Genetic Architecture and Candidate Genes Identified for Follicle Number in Chicken
title_fullStr Genetic Architecture and Candidate Genes Identified for Follicle Number in Chicken
title_full_unstemmed Genetic Architecture and Candidate Genes Identified for Follicle Number in Chicken
title_short Genetic Architecture and Candidate Genes Identified for Follicle Number in Chicken
title_sort genetic architecture and candidate genes identified for follicle number in chicken
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5703906/
https://www.ncbi.nlm.nih.gov/pubmed/29180824
http://dx.doi.org/10.1038/s41598-017-16557-1
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