{"title":"Whole-genome selection signatures identified candidate genes associated with cashmere traits in Inner Mongolia Cashmere Goats.","authors":"Youjun Rong, Xiaofang Ao, Mingxuan Han, Qincheng Xia, Fangzheng Shang, Qi Lv, Zhiying Wang, Rui Su, Yanhong Zhao, Yanjun Zhang, Ruijun Wang","doi":"10.5713/ab.25.0252","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>Inner Mongolia cashmere goats are superior indigenous breeds developed through long-term natural selection and systematic artificial selection, which have experienced a certain intensity of selection pressure during the breeding process, leading to bipolar differentiation trends in cashmere traits. Therefore, identifying genomic selection signatures associated with cashmere traits in Inner Mongolia cashmere goats is crucial for breeding high-quality cashmere-producing goats.</p><p><strong>Methods: </strong>To unravel the genetic basis of cashmere traits, this study stratified 375 Inner Mongolia cashmere goats into eight subgroups based on breeding values for cashmere traits: high-yield vs low-yield cashmere types (HYCG vs LYCG), fine vs coarse cashmere types (FCG vs CCG), long vs short cashmere types (LCG vs SCG), and long vs short fleece types (LFCG vs SFCG). Whole-genome resequencing was performed for genotyping, followed by detection of selection signatures.</p><p><strong>Results: </strong>Results revealed 144, 158, 147, and 147 high-frequency ROH regions in HYCG, FCG, LCG, and LFCG subgroups, respectively, annotating to 515, 565, 510, and 521 genes. Additionally, genomic regions under positive selection were identified using FST, θπ ratios, and XP-EHH methods, with overlapping regions detected by ≥2 methods defined as candidate regions. Gene annotation identified 777, 660, 712, and 726 candidate genes in HYCG vs LYCG, FCG vs CCG, LCG vs SCG, and LFCG vs SFCG comparisons, respectively. These genes were enriched in 3,051 GO terms and 318 KEGG pathways, including Hippo, MAPK, Wnt, PI3K-Akt, and mTOR signaling pathways associated with cashmere growth and development, involving genes such as LGR6, RUNX2,IGF1R, CCNE2, and SEH1L.</p><p><strong>Conclusion: </strong>In this study, we employed four complementary approaches, including ROHs, FST, θπ ratios, and XP-EHH, to identify genomic signatures of selection for cashmere traits in Inner Mongolia cashmere goats. These findings provide valuable insights for improving cashmere production performance and developing novel strains with high-quality cashmere in Inner Mongolia cashmere goats.</p>","PeriodicalId":7825,"journal":{"name":"Animal Bioscience","volume":" ","pages":""},"PeriodicalIF":2.4000,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Animal Bioscience","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.5713/ab.25.0252","RegionNum":2,"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}
引用次数: 0
Abstract
Objective: Inner Mongolia cashmere goats are superior indigenous breeds developed through long-term natural selection and systematic artificial selection, which have experienced a certain intensity of selection pressure during the breeding process, leading to bipolar differentiation trends in cashmere traits. Therefore, identifying genomic selection signatures associated with cashmere traits in Inner Mongolia cashmere goats is crucial for breeding high-quality cashmere-producing goats.
Methods: To unravel the genetic basis of cashmere traits, this study stratified 375 Inner Mongolia cashmere goats into eight subgroups based on breeding values for cashmere traits: high-yield vs low-yield cashmere types (HYCG vs LYCG), fine vs coarse cashmere types (FCG vs CCG), long vs short cashmere types (LCG vs SCG), and long vs short fleece types (LFCG vs SFCG). Whole-genome resequencing was performed for genotyping, followed by detection of selection signatures.
Results: Results revealed 144, 158, 147, and 147 high-frequency ROH regions in HYCG, FCG, LCG, and LFCG subgroups, respectively, annotating to 515, 565, 510, and 521 genes. Additionally, genomic regions under positive selection were identified using FST, θπ ratios, and XP-EHH methods, with overlapping regions detected by ≥2 methods defined as candidate regions. Gene annotation identified 777, 660, 712, and 726 candidate genes in HYCG vs LYCG, FCG vs CCG, LCG vs SCG, and LFCG vs SFCG comparisons, respectively. These genes were enriched in 3,051 GO terms and 318 KEGG pathways, including Hippo, MAPK, Wnt, PI3K-Akt, and mTOR signaling pathways associated with cashmere growth and development, involving genes such as LGR6, RUNX2,IGF1R, CCNE2, and SEH1L.
Conclusion: In this study, we employed four complementary approaches, including ROHs, FST, θπ ratios, and XP-EHH, to identify genomic signatures of selection for cashmere traits in Inner Mongolia cashmere goats. These findings provide valuable insights for improving cashmere production performance and developing novel strains with high-quality cashmere in Inner Mongolia cashmere goats.
目的:内蒙古绒山羊是经过长期自然选择和系统人工选择而发展起来的优良地方品种,在育种过程中经历了一定程度的选择压力,羊绒性状呈现两极分化趋势。因此,鉴定与内蒙古绒山羊羊绒性状相关的基因组选择特征对于培育优质绒山羊至关重要。方法:为了揭示羊绒性状的遗传基础,本研究根据羊绒性状的育种价值将375只内蒙古绒山羊分为8个亚群:高产与低产羊绒类型(HYCG vs LYCG)、细绒与粗绒类型(FCG vs CCG)、长绒与短绒类型(LCG vs SCG)、长绒与短绒类型(LFCG vs SFCG)。进行全基因组重测序进行基因分型,然后检测选择特征。结果:在HYCG、FCG、LCG和LFCG亚群中分别发现144、158、147和147个高频ROH区域,分别注释到515、565、510和521个基因。此外,采用FST、θπ比和XP-EHH方法鉴定阳性选择的基因组区域,通过≥2种方法检测到的重叠区域定义为候选区域。基因注释在HYCG与LYCG、FCG与CCG、LCG与SCG、LFCG与SFCG的比较中分别鉴定出777、660、712和726个候选基因。这些基因在3051个GO项和318个KEGG通路中富集,包括与羊绒生长发育相关的Hippo、MAPK、Wnt、PI3K-Akt和mTOR信号通路,涉及LGR6、RUNX2、IGF1R、CCNE2和SEH1L等基因。结论:本研究采用ROHs、FST、θπ比和XP-EHH四种互补方法,确定了内蒙古绒山羊羊绒性状选择的基因组特征。这些研究结果为提高内蒙古绒山羊的生产性能和培育优质绒山羊新品种提供了有价值的见解。