It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
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.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details
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)
2 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)
3 Gansu Agricultural University, College of Animal Science and Technology, Lanzhou, People’s Republic of China (GRID:grid.411734.4) (ISNI:0000 0004 1798 5176)
4 Qinghai Academy of Animal Science and Veterinary Medicine, Xining, People’s Republic of China (GRID:grid.262246.6) (ISNI:0000 0004 1765 430X)
5 Animal Husbandry and Veterinary Service of Qinghai, Xining, People’s Republic of China (GRID:grid.262246.6)
6 International Centre for Agricultural Research in the Dry Areas (ICARDA), Addis Ababa, Ethiopia (GRID:grid.410727.7)