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Transcriptome analysis identified long non-coding RNAs involved in the adaption of yak to high-altitude environments.
Xin, Jin-Wei; Chai, Zhi-Xin; Zhang, Cheng-Fu; Yang, Yu-Mei; Zhang, Qiang; Zhu, Yong; Cao, Han-Wen; Yang Ji, Cidan; Zhong, Jin-Cheng; Ji, Qiu-Mei.
Afiliación
  • Xin JW; State Key Laboratory of Hulless Barley and Yak Germplasm Resources and Genetic Improvement, Lhasa, People's Republic of China.
  • Chai ZX; Institute of Animal Science and Veterinary, Tibet Academy of Agricultural and Animal Husbandry Sciences, Lhasa, People's Republic of China.
  • Zhang CF; Key Laboratory of Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization, Sichuan Province and Ministry of Education, Southwest Minzu University, Chengdu, People's Republic of China.
  • Yang YM; State Key Laboratory of Hulless Barley and Yak Germplasm Resources and Genetic Improvement, Lhasa, People's Republic of China.
  • Zhang Q; Institute of Animal Science and Veterinary, Tibet Academy of Agricultural and Animal Husbandry Sciences, Lhasa, People's Republic of China.
  • Zhu Y; Key Laboratory of Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization, Sichuan Province and Ministry of Education, Southwest Minzu University, Chengdu, People's Republic of China.
  • Cao HW; State Key Laboratory of Hulless Barley and Yak Germplasm Resources and Genetic Improvement, Lhasa, People's Republic of China.
  • Yang Ji C; Institute of Animal Science and Veterinary, Tibet Academy of Agricultural and Animal Husbandry Sciences, Lhasa, People's Republic of China.
  • Zhong JC; State Key Laboratory of Hulless Barley and Yak Germplasm Resources and Genetic Improvement, Lhasa, People's Republic of China.
  • Ji QM; Institute of Animal Science and Veterinary, Tibet Academy of Agricultural and Animal Husbandry Sciences, Lhasa, People's Republic of China.
R Soc Open Sci ; 7(9): 200625, 2020 Sep.
Article en En | MEDLINE | ID: mdl-33047026
ABSTRACT
The mechanisms underlying yak adaptation to high-altitude environments have been investigated using various methods, but no report has focused on long non-coding RNA (lncRNA). In the present study, lncRNAs were screened from the gluteus transcriptomes of yak and their transcriptional levels were compared with those in Sanjiang cattle, Holstein cattle and Tibetan cattle. The potential target genes of the differentially expressed lncRNAs between species/strains were predicted using cis and trans models. Based on cis-regulated target genes, no KEGG pathway was significantly enriched. Based on trans-regulated target genes, 11 KEGG pathways in relation to energy metabolism and three KEGG pathways associated with muscle contraction were significantly enriched. Compared with cattle strains, transcriptional levels of acyl-CoA dehydrogenase, acyl-CoA-binding protein, 3-hydroxyacyl-CoA dehydrogenase were relatively higher and those of glyceraldehyde 3-phosphate dehydrogenase, phosphoglycerate mutase 1, pyruvate kinase and lactate/malate dehydrogenase were relatively lower in yak, suggesting that yaks activated fatty acid oxidation but inhibited glucose oxidation and glycolysis. Besides, NADH dehydrogenase and ATP synthase showed lower transcriptional levels in yak than in cattle, which might protect muscle tissues from deterioration caused by reactive oxygen species (ROS). Compared with cattle strains, the higher transcriptional level of glyoxalase in yak might contribute to dicarbonyl stress resistance. Voltage-dependent calcium channel/calcium release channel showed a lower level in yak than in cattle strains, which could reduce the Ca2+ influx and subsequently decrease the risk of hypertension. However, levels of EF-hand and myosin were higher in yak than in cattle strains, which might enhance the negative effects of reduced Ca2+ on muscle contraction. Overall, the present study identified lncRNAs and proposed their potential regulatory functions in yak.
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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: R Soc Open Sci Año: 2020 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: R Soc Open Sci Año: 2020 Tipo del documento: Article