Abstract

The identification of genome-wide selection signatures can provide insights on the mechanisms of natural and/or artificial selection and uncover genes related to biological functions and/or phenotypes. Tibetan sheep are an important livestock in Tibet, providing meat and wool for Tibetans who are renown for breeding livestock that adapt well to high altitudes. Using whole-genome sequences with an effective sequencing depth of 5×, we investigated the genomic diversity and structure and, identified selection signatures of White Tibetan, Oula and Poll Dorset sheep. We obtained 30,163,679 Single Nucleotide Polymorphisms (SNPs) and 5,388,372 indels benchmarked against the ovine Oar_v4.0 genome assembly. Next, using FST, ZHp and XP-EHH approaches, we identified selection signatures spanning a set of candidate genes, including HIF1A, CAPN3, PRKAA1, RXFP2, TRHR and HOXA10 that are associated with pathways and GO categories putatively related to hypoxia responses, meat traits and disease resistance. Candidate genes and GO terms associated with coat color were also identified. Finally, quantification of blood physiological parameters, revealed higher levels of mean corpuscular hemoglobin measurement and mean corpuscular hemoglobin concentration in Tibetan sheep compared with Poll Dorset, suggesting a greater oxygen-carrying capacity in the Tibetan sheep and thus better adaptation to high-altitude hypoxia. In conclusion, this study provides a greater understanding of genome diversity and variations associated with adaptive and production traits in sheep.

Details

Title
Genome-wide comparative analyses reveal selection signatures underlying adaptation and production in Tibetan and Poll Dorset sheep
Author
Zhang Yingyue 1 ; Xue Xianglan 1 ; Liu, Yue 1 ; Abied Adam 2 ; Ding Yangyang 1 ; Zhao Shengguo 3 ; Wang, Wenqiang 3 ; Ma, Liqing 4 ; Guo Jijun 5 ; Guan Weijun 1 ; Pu Yabin 1 ; Mwacharo, Joram M 6 ; Han, Jianlin 1 ; Ma Yuehui 1 ; Zhao Qianjun 1 

 Chinese Academy of Agricultural Sciences (CAAS), Institute of Animal Sciences, Beijing, People’s Republic of China (GRID:grid.410727.7) (ISNI:0000 0001 0526 1937); Chinese Academy of Agricultural Sciences (CAAS), CAAS-ILRI Joint Laboratory On Livestock and Forage Genetic Resources, Institute of Animal Sciences, Beijing, People’s Republic of China (GRID:grid.410727.7) (ISNI:0000 0001 0526 1937) 
 Chinese Academy of Agricultural Sciences (CAAS), Institute of Animal Sciences, Beijing, People’s Republic of China (GRID:grid.410727.7) (ISNI:0000 0001 0526 1937) 
 Gansu Agricultural University, College of Animal Science and Technology, Lanzhou, People’s Republic of China (GRID:grid.411734.4) (ISNI:0000 0004 1798 5176) 
 Qinghai Academy of Animal Science and Veterinary Medicine, Xining, People’s Republic of China (GRID:grid.262246.6) (ISNI:0000 0004 1765 430X) 
 Animal Husbandry and Veterinary Service of Qinghai, Xining, People’s Republic of China (GRID:grid.262246.6) 
 International Centre for Agricultural Research in the Dry Areas (ICARDA), Addis Ababa, Ethiopia (GRID:grid.410727.7) 
Publication year
2021
Publication date
2021
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2482357829
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.