AI Article Synopsis
- The domestic yak is a key animal for farming on the Qinghai-Tibet Plateau, having adapted over time to its high-altitude environment.
- A study used next-gen sequencing to analyze the genetic adaptations of yaks to different altitudes, identifying over 15 million SNPs and recognizing 21 candidate genes through selective sweep analysis.
- The identified genes may shed light on how yaks have evolved to survive at high altitudes, supporting theories about their ecological adaptability and providing insights into molecular mechanisms involved in altitude adaptation.
Article Abstract
The domestic yak (Bos grunniens) is an iconic symbol of animal husbandry on the Qinghai-Tibet Plateau. Long-term domestication and natural selection have led to a wide distribution of yak, forming many ecological populations to adapt to the local ecological environment. High altitude is closely related to oxygen density, and it is an important environmental ecological factor for biological survival and livestock production. The aim of the present study was to perform a preliminary analysis to identify the candidate genes of altitude distribution adapted ecological thresholds in yak using next-generation sequence technology. A total of 15,762,829 SNPs were obtained from 29 yaks with high- and low-altitude distribution by genome-wide sequencing. According to the results of the selective sweep analysis with FST and ZHp, 21 candidate genes were identified. 14 genes (serine/threonine protein kinase TNNI3K, TEN1, DYM, ITPR1, ZC4H2, KNTC1, ADGRB3, CLYBL, TANGO6, ASCC3, KLHL3, PDE4D, DEPDC1B and AGBL4) were grouped into 32 Gene Ontology terms, and four genes (RPS6KA6, ITPR1, GNAO1 and PDE4D) annotated in 35 pathways, including seven environmental information processing and one environmental adaptation. Therefore, the novel candidate genes found in the current study do not only support new theories about high-altitude adaptation, but also further explain the molecular mechanisms of altitude adaptation threshold in yaks.
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| http://dx.doi.org/10.1111/jbg.12403 | DOI Listing |
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