Yifan Guo , Yuqi Chen , Huanjie Guo , Binghui Wang , Yiwei Xiong , Jun Ding , Jingyi Li
{"title":"全基因组关联研究揭示了与蛋鸡产蛋时间性状相关的候选基因","authors":"Yifan Guo , Yuqi Chen , Huanjie Guo , Binghui Wang , Yiwei Xiong , Jun Ding , Jingyi Li","doi":"10.1016/j.psj.2025.105255","DOIUrl":null,"url":null,"abstract":"<div><div>In modern intensive caged laying hen production, variations in egg-laying time (<strong>ELT</strong>) among layers often increase the workload for egg collection, thereby raising the costs of labor or power and reducing overall efficiency. For management purpose, early and synchronized ELT is also advantageous, particularly to large-scale layer farm. However, the underlying genetic mechanisms of ELT remain unclear. In this study, through the development of video and artificial intelligence-based software, ELT records during the peak laying period (27-32 weeks) from 507 layers, and their earlier laying performance (21-32 weeks) were collected. Via whole genome sequencing data of all the individuals, the estimated heritabilities of traditional egg production traits ranged from 0.23 to 0.36, consistent with previous reports. The heritability of average egg-laying time (<strong>AELT</strong>) was estimated as 0.46. Furthermore, individuals with earlier AELT tended to exhibit superior egg production performance. Genome-wide association study revealed three SNPs associated with AELT traits, located at 170,867,650 bp on chromosome 1, at 5,548,087 and 5,817,488 bp on chromosome 9. Across the region of 5.4 to 7.0 Mb on chromosome 9, mutations were also identified to be strongly linked with the two AELT-associated SNPs. Genes located in this region may be responsible for the differences in AELT among hens. These results indicate that ELT has the potential to be integrated into the production system of caged layers. If ELT is to be included as a breeding objective in the future, its reliability needs to be validated in larger populations and over longer periods.</div></div>","PeriodicalId":20459,"journal":{"name":"Poultry Science","volume":"104 7","pages":"Article 105255"},"PeriodicalIF":3.8000,"publicationDate":"2025-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Genome-wide association study revealed candidate genes associated with egg-laying time traits in layer chicken\",\"authors\":\"Yifan Guo , Yuqi Chen , Huanjie Guo , Binghui Wang , Yiwei Xiong , Jun Ding , Jingyi Li\",\"doi\":\"10.1016/j.psj.2025.105255\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>In modern intensive caged laying hen production, variations in egg-laying time (<strong>ELT</strong>) among layers often increase the workload for egg collection, thereby raising the costs of labor or power and reducing overall efficiency. For management purpose, early and synchronized ELT is also advantageous, particularly to large-scale layer farm. However, the underlying genetic mechanisms of ELT remain unclear. In this study, through the development of video and artificial intelligence-based software, ELT records during the peak laying period (27-32 weeks) from 507 layers, and their earlier laying performance (21-32 weeks) were collected. Via whole genome sequencing data of all the individuals, the estimated heritabilities of traditional egg production traits ranged from 0.23 to 0.36, consistent with previous reports. The heritability of average egg-laying time (<strong>AELT</strong>) was estimated as 0.46. Furthermore, individuals with earlier AELT tended to exhibit superior egg production performance. Genome-wide association study revealed three SNPs associated with AELT traits, located at 170,867,650 bp on chromosome 1, at 5,548,087 and 5,817,488 bp on chromosome 9. Across the region of 5.4 to 7.0 Mb on chromosome 9, mutations were also identified to be strongly linked with the two AELT-associated SNPs. Genes located in this region may be responsible for the differences in AELT among hens. These results indicate that ELT has the potential to be integrated into the production system of caged layers. If ELT is to be included as a breeding objective in the future, its reliability needs to be validated in larger populations and over longer periods.</div></div>\",\"PeriodicalId\":20459,\"journal\":{\"name\":\"Poultry Science\",\"volume\":\"104 7\",\"pages\":\"Article 105255\"},\"PeriodicalIF\":3.8000,\"publicationDate\":\"2025-05-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Poultry Science\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0032579125004973\",\"RegionNum\":1,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AGRICULTURE, DAIRY & ANIMAL SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Poultry Science","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0032579125004973","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRICULTURE, DAIRY & ANIMAL SCIENCE","Score":null,"Total":0}
Genome-wide association study revealed candidate genes associated with egg-laying time traits in layer chicken
In modern intensive caged laying hen production, variations in egg-laying time (ELT) among layers often increase the workload for egg collection, thereby raising the costs of labor or power and reducing overall efficiency. For management purpose, early and synchronized ELT is also advantageous, particularly to large-scale layer farm. However, the underlying genetic mechanisms of ELT remain unclear. In this study, through the development of video and artificial intelligence-based software, ELT records during the peak laying period (27-32 weeks) from 507 layers, and their earlier laying performance (21-32 weeks) were collected. Via whole genome sequencing data of all the individuals, the estimated heritabilities of traditional egg production traits ranged from 0.23 to 0.36, consistent with previous reports. The heritability of average egg-laying time (AELT) was estimated as 0.46. Furthermore, individuals with earlier AELT tended to exhibit superior egg production performance. Genome-wide association study revealed three SNPs associated with AELT traits, located at 170,867,650 bp on chromosome 1, at 5,548,087 and 5,817,488 bp on chromosome 9. Across the region of 5.4 to 7.0 Mb on chromosome 9, mutations were also identified to be strongly linked with the two AELT-associated SNPs. Genes located in this region may be responsible for the differences in AELT among hens. These results indicate that ELT has the potential to be integrated into the production system of caged layers. If ELT is to be included as a breeding objective in the future, its reliability needs to be validated in larger populations and over longer periods.
期刊介绍:
First self-published in 1921, Poultry Science is an internationally renowned monthly journal, known as the authoritative source for a broad range of poultry information and high-caliber research. The journal plays a pivotal role in the dissemination of preeminent poultry-related knowledge across all disciplines. As of January 2020, Poultry Science will become an Open Access journal with no subscription charges, meaning authors who publish here can make their research immediately, permanently, and freely accessible worldwide while retaining copyright to their work. Papers submitted for publication after October 1, 2019 will be published as Open Access papers.
An international journal, Poultry Science publishes original papers, research notes, symposium papers, and reviews of basic science as applied to poultry. This authoritative source of poultry information is consistently ranked by ISI Impact Factor as one of the top 10 agriculture, dairy and animal science journals to deliver high-caliber research. Currently it is the highest-ranked (by Impact Factor and Eigenfactor) journal dedicated to publishing poultry research. Subject areas include breeding, genetics, education, production, management, environment, health, behavior, welfare, immunology, molecular biology, metabolism, nutrition, physiology, reproduction, processing, and products.