全基因组选择信号揭示绵羊毛囊发育及脱毛性状相关的候选基因

doi:10.11843/j.issn.0366-6964.2022.02.006

畜牧兽医学报 ›› 2022, Vol. 53 ›› Issue (2): 381-390.doi: 10.11843/j.issn.0366-6964.2022.02.006

全基因组选择信号揭示绵羊毛囊发育及脱毛性状相关的候选基因

雷志惠¹, 张利平^1*, 赵洪昌², 朱韶华¹, 卢曾奎², 郭婷婷², 孙渭博², 赫雪², 岳耀敬^2*

1. 甘肃农业大学动物科学技术学院, 兰州 730070;
2. 中国农业科学院兰州畜牧与兽药研究所, 兰州 730050

收稿日期:2021-04-15 出版日期:2022-02-23 发布日期:2022-03-02
通讯作者: 张利平,主要从事绵山羊遗传育种与繁殖及动物生产研究,E-mail:zhanglp512@163.com;岳耀敬,主要从事羊遗传育种与繁殖技术研究,E-mail:yueyaojing@caas.cn
作者简介:雷志惠(1994-),女,甘肃靖远人,硕士生,主要从事动物遗传育种与繁殖研究,E-mail:lzh887246@163.com
基金资助:
国家自然科学基金（31260547）；国家绒毛用羊产业技术体系育种技术与方法岗位科学家专项（CARS-39-02）；中国农业科学院创新工程细毛羊资源与育种创新团队专项（CAAS-ASTIP-2015-LIHPS）；中国农业科学院重大产出科研选题“高山美利奴羊新品种培育与产业化”（CAASZDXT2018006）；兰州市人才创新创业项目“兰州肉羊绿色提质增效技术集成与示范”（2020-RC-130）

Genome-wide Selection Signals Reveal Candidate Genes Associated with the Sheep of Hair Follicle Development and Depilation Traits

LEI Zhihui¹, ZHANG Liping^1*, ZHAO Hongchang², ZHU Shaohua¹, LU Zengkui², GUO Tingting², SUN Weibo², HE Xue², YUE Yaojing^2*

1. College of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, China;
2. Lanzhou Institute of Husbandry and Pharmaceutical Sciences of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China

Received:2021-04-15 Online:2022-02-23 Published:2022-03-02

摘要/Abstract

摘要： 利用全基因组选择信号研究不同羊毛类型绵羊的群体结构及遗传分化程度，以挖掘与毛囊发育及脱毛性状相关的候选基因。本研究以3种羊毛类型的21个品种共290只绵羊群体为研究对象，利用Illumina Ovine SNP 50K芯片基因分型数据，基于群体分化指数Fst和核苷酸多样性比值θπ Ratio方法对无绒毛型、细毛型和中毛型绵羊进行选择信号检测。将Fst和θπ Ratio的top 5%作为阈值检测受到强烈选择的SNPs位点并进行注释。结果表明，SOX18、ALX4、FGF1和LRP4等与毛囊发育及脱毛性状相关的基因受到强烈选择。本研究通过Fst和θπ Ratio两种方法检测出与毛囊发育周期、羊毛形成以及毛囊和皮脂腺部分细胞相关的重要基因，这将为进一步研究绵羊重要经济性状形成的机制提供有意义的参考。

关键词: 绵羊, SNP芯片, 选择信号, Fst, θπ Ratio

Abstract: In order to discover candidate genes related to hair follicle development and depilation traits, genome-wide selection signals were used to study the population structure and genetic differentiation of sheep with different wool types. In current study, the population of 290 sheep from 21 breeds with three types of wool was selected as research object, using Illumina Ovine SNP 50K microarrays genotyping data, based on Fst and θπ Ratio methods, the selection signal detection of hair sheep, fine wool sheep and medium wool sheep were detected. Apply the top 5% of Fst and θπ Ratio as the threshold to detect and annotate the strongly selected SNPs. The results showed that genes related to hair follicle development and hair loss traits such as SOX18, ALX4, FGF1 and LRP4 were strongly selected. In this study, two methods of Fst and θπ Ratio were adopted to detect important genes related to hair follicle development cycle, hair formation, and some cells of hair follicles and sebaceous glands. This will provide a meaningful reference for further research on the mechanism of important economic traits in sheep.

Key words: sheep, SNP chip, select signal, Fst, θπ Ratio

中图分类号:

S826.2

雷志惠, 张利平, 赵洪昌, 朱韶华, 卢曾奎, 郭婷婷, 孙渭博, 赫雪, 岳耀敬. 全基因组选择信号揭示绵羊毛囊发育及脱毛性状相关的候选基因[J]. 畜牧兽医学报, 2022, 53(2): 381-390.

LEI Zhihui, ZHANG Liping, ZHAO Hongchang, ZHU Shaohua, LU Zengkui, GUO Tingting, SUN Weibo, HE Xue, YUE Yaojing. Genome-wide Selection Signals Reveal Candidate Genes Associated with the Sheep of Hair Follicle Development and Depilation Traits[J]. Acta Veterinaria et Zootechnica Sinica, 2022, 53(2): 381-390.

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全基因组选择信号揭示绵羊毛囊发育及脱毛性状相关的候选基因

Genome-wide Selection Signals Reveal Candidate Genes Associated with the Sheep of Hair Follicle Development and Depilation Traits

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