Genome-wide association studies detects candidate genes for wool traits by re-sequencing in Chinese fine-wool sheep

被引:41
|
作者
Zhao, Hongchang [1 ]
Guo, Tingting [1 ]
Lu, Zengkui [1 ]
Liu, Jianbin [1 ]
Zhu, Shaohua [1 ]
Qiao, Guoyan [1 ]
Han, Mei [1 ]
Yuan, Chao [1 ]
Wang, Tianxiang [2 ]
Li, Fanwen [2 ]
Zhang, Yajun [3 ]
Hou, Fujun [4 ]
Yue, Yaojing [1 ]
Yang, Bohui [1 ]
机构
[1] Chinese Acad Agr Sci, Sheep Breeding Engn Technol Res Ctr, Lanzhou Inst Husb & Pharmaceut Sci, Lanzhou 730050, Peoples R China
[2] Gansu Prov Sheep Breeding Technol Extens Stn, Sunan 734031, Peoples R China
[3] Xinjiang Gongnaisi Breeding Sheep Farm, Xinyuan 835808, Peoples R China
[4] Aohan Banner Breeding Sheep Farm, Chifeng 024300, Peoples R China
关键词
Fine-wool sheep; Re-sequencing; GWAS; Enrichment analyses; Wool traits; FOLLICLE; EXPRESSION; STEM; DIFFERENTIATION; GROWTH; MODEL; SKIN; WNT; MORPHOGENESIS; PROLIFERATION;
D O I
10.1186/s12864-021-07399-3
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
BackgroundThe quality and yield of wool determine the economic value of the fine-wool sheep. Therefore, discovering markers or genes relevant to wool traits is the cornerstone for the breeding of fine-wool sheep. In this study, we used the Illumina HiSeq X Ten platform to re-sequence 460 sheep belonging to four different fine-wool sheep breeds, namely, Alpine Merino sheep (AMS), Chinese Merino sheep (CMS), Aohan fine-wool sheep (AHS) and Qinghai fine-wool sheep (QHS). Eight wool traits, including fiber diameter (FD), fiber diameter coefficient of variance (FDCV), fiber diameter standard deviation (FDSD), staple length (SL), greasy fleece weight (GFW), clean wool rate (CWR), staple strength (SS) and staple elongation (SE) were examined. A genome-wide association study (GWAS) was performed to detect the candidate genes for the eight wool traits.ResultsA total of 8.222Tb of raw data was generated, with an average of approximately 8.59X sequencing depth. After quality control, 12,561,225 SNPs were available for analysis. And a total of 57 genome-wide significant SNPs and 30 candidate genes were detected for the desired wool traits. Among them, 7 SNPs and 6 genes are related to wool fineness indicators (FD, FDCV and FDSD), 10 SNPs and 7 genes are related to staple length, 13 SNPs and 7 genes are related to wool production indicators (GFW and CWR), 27 SNPs and 10 genes associated with staple elongation. Among these candidate genes, UBE2E3 and RHPN2 associated with fiber diameter, were found to play an important role in keratinocyte differentiation and cell proliferation. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment results, revealed that multitude significant pathways are related to keratin and cell proliferation and differentiation, such as positive regulation of canonical Wnt signaling pathway (GO:0090263).ConclusionThis is the first GWAS on the wool traits by using re-sequencing data in Chinese fine-wool sheep. The newly detected significant SNPs in this study can be used in genome-selective breeding for the fine-wool sheep. And the new candidate genes would provide a good theoretical basis for the fine-wool sheep breeding.
引用
收藏
页数:13
相关论文
共 50 条
  • [1] Genome-wide association studies detects candidate genes for wool traits by re-sequencing in Chinese fine-wool sheep
    Hongchang Zhao
    Tingting Guo
    Zengkui Lu
    Jianbin Liu
    Shaohua Zhu
    Guoyan Qiao
    Mei Han
    Chao Yuan
    Tianxiang Wang
    Fanwen Li
    Yajun Zhang
    Fujun Hou
    Yaojing Yue
    Bohui Yang
    BMC Genomics, 22
  • [2] Whole-genome re-sequencing association study on yearling wool traits in Chinese fine-wool sheep
    Zhao, Hongchang
    Zhu, Shaohua
    Guo, Tingting
    Han, Mei
    Chen, Bowen
    Qiao, Guoyan
    Wu, Yi
    Yuan, Chao
    Liu, Jianbin
    Lu, Zengkui
    Sun, Weibo
    Wang, Tianxiang
    Li, Fanwen
    Zhang, Yajun
    Hou, Fujun
    Yue, Yaojing
    Yang, Bohui
    JOURNAL OF ANIMAL SCIENCE, 2021, 99 (09)
  • [3] Genome-Wide Association Study of Body Weight Traits in Chinese Fine-Wool Sheep
    Lu, Zengkui
    Yue, Yaojing
    Yuan, Chao
    Liu, Jianbin
    Chen, Zhiqiang
    Niu, Chune
    Sun, Xiaoping
    Zhu, Shaohua
    Zhao, Hongchang
    Guo, Tingting
    Yang, Bohui
    ANIMALS, 2020, 10 (01):
  • [4] Genome-Wide Association Study for Wool Production Traits in a Chinese Merino Sheep Population
    Wang, Zhipeng
    Zhang, Hui
    Yang, Hua
    Wang, Shouzhi
    Rong, Enguang
    Pei, Wenyu
    Li, Hui
    Wang, Ning
    PLOS ONE, 2014, 9 (09):
  • [5] Genome-Wide Association Study of Birth Wool Length, Birth Weight, and Head Color in Chinese Tan Sheep Through Whole-Genome Re-Sequencing
    Ma, Lina
    Zhao, Wei
    Ma, Qing
    Wang, Jin
    Zhao, Zhengwei
    Zhang, Juan
    Gu, Yaling
    ANIMALS, 2024, 14 (23):
  • [6] Genome-wide association with footrot in hair and wool sheep
    Cinar, Mehmet Ulas
    Oliveira, Ryan D.
    Hadfield, Tracy S.
    Lichtenwalner, Anne
    Brzozowski, Richard J.
    Settlemire, C. Thomas
    Schoenian, Susan G.
    Parker, Charles
    Neibergs, Holly L.
    Cockett, Noelle E.
    White, Stephen N.
    FRONTIERS IN GENETICS, 2024, 14
  • [7] Genome-Wide Scan of Wool Production Traits in Akkaraman Sheep
    Arzik, Yunus
    Kizilaslan, Mehmet
    Behrem, Sedat
    White, Stephen N. N.
    Piel, Lindsay M. W.
    Cinar, Mehmet Ulas
    GENES, 2023, 14 (03)
  • [8] Genome-wide association study for polledness, horn shape, and wool traits in Original Valachian sheep
    Meszarosova, Maria
    Meszaros, Gabor
    Moravcikova, Nina
    Pavlik, Ivan
    Margetin, Milan
    Kasarda, Radovan
    ARCHIVES ANIMAL BREEDING, 2024, 67 (03) : 373 - 381
  • [9] Simultaneous Analysis of All SNPs in Genome-Wide and Re-Sequencing Association Studies
    Hoggart, Clive J.
    Whittaker, John C.
    De Iorio, Maria
    Balding, David J.
    PLOS GENETICS, 2008, 4 (07):
  • [10] Spatiotemporal Expression and Haplotypes Identification of KRT84 Gene and Their Association with Wool Traits in Gansu Alpine Fine-Wool Sheep
    Yu, Xueqin
    Li, Shaobin
    Zhou, Huitong
    Zhao, Fangfang
    Hu, Jiang
    Wang, Jiqing
    Liu, Xiu
    Li, Mingna
    Zhao, Zhidong
    Hao, Zhiyun
    Shi, Bingang
    Hickford, Jon G. H.
    GENES, 2024, 15 (02)