Literature DB >> 29285685

Transcriptome profile and unique genetic evolution of positively selected genes in yak lungs.

DaoLiang Lan1,2, XianRong Xiong2, WenHui Ji2, Jian Li3,4, Tserang-Donko Mipam1, Yi Ai1, ZhiXin Chai1.   

Abstract

The yak (Bos grunniens), which is a unique bovine breed that is distributed mainly in the Qinghai-Tibetan Plateau, is considered a good model for studying plateau adaptability in mammals. The lungs are important functional organs that enable animals to adapt to their external environment. However, the genetic mechanism underlying the adaptability of yak lungs to harsh plateau environments remains unknown. To explore the unique evolutionary process and genetic mechanism of yak adaptation to plateau environments, we performed transcriptome sequencing of yak and cattle (Bos taurus) lungs using RNA-Seq technology and a subsequent comparison analysis to identify the positively selected genes in the yak. After deep sequencing, a normal transcriptome profile of yak lung that containing a total of 16,815 expressed genes was obtained, and the characteristics of yak lungs transcriptome was described by functional analysis. Furthermore, Ka/Ks comparison statistics result showed that 39 strong positively selected genes are identified from yak lungs. Further GO and KEGG analysis was conducted for the functional annotation of these genes. The results of this study provide valuable data for further explorations of the unique evolutionary process of high-altitude hypoxia adaptation in yaks in the Tibetan Plateau and the genetic mechanism at the molecular level.

Entities:  

Keywords:  Lung; Plateau adaptation; Positively selected genes; Transcriptome; Yak

Mesh:

Year:  2017        PMID: 29285685     DOI: 10.1007/s10709-017-0005-8

Source DB:  PubMed          Journal:  Genetica        ISSN: 0016-6707            Impact factor:   1.082


  8 in total

1.  Genome-wide selective sweep analysis of the high-altitude adaptability of yaks by using the copy number variant.

Authors:  E Guang-Xin; Bai-Gao Yang; Yan-Bin Zhu; Xing-Hai Duang; Wang-Dui Basang; Xiao-Lin Luo; Tian-Wu An
Journal:  3 Biotech       Date:  2020-05-18       Impact factor: 2.406

2.  Transcriptome profiles revealed the mechanisms underlying the adaptation of yak to high-altitude environments.

Authors:  Jin-Wei Xin; Zhi-Xin Chai; Cheng-Fu Zhang; Qiang Zhang; Yong Zhu; Han-Wen Cao; Qiu-Mei Ji; Jin-Cheng Zhong
Journal:  Sci Rep       Date:  2019-05-17       Impact factor: 4.379

3.  Comparisons of lung and gluteus transcriptome profiles between yaks at different ages.

Authors:  Jin-Wei Xin; Zhi-Xin Chai; Cheng-Fu Zhang; Qiang Zhang; Yong Zhu; Han-Wen Cao; Qiu-Mei Ji; Jin-Cheng Zhong
Journal:  Sci Rep       Date:  2019-10-02       Impact factor: 4.379

4.  Comparative Transcriptome Analysis of Gayal (Bos frontalis), Yak (Bos grunniens), and Cattle (Bos taurus) Reveal the High-Altitude Adaptation.

Authors:  Jun Ma; Tianliu Zhang; Wenxiang Wang; Yan Chen; Wentao Cai; Bo Zhu; Lingyang Xu; Huijiang Gao; Lupei Zhang; Junya Li; Xue Gao
Journal:  Front Genet       Date:  2022-01-11       Impact factor: 4.599

5.  Metabolomics reveals potential plateau adaptability by regulating inflammatory response and oxidative stress-related metabolism and energy metabolism pathways in yak.

Authors:  Meizhou Huang; Xin Zhang; Wenjun Yan; Jingjing Liu; Hui Wang
Journal:  J Anim Sci Technol       Date:  2022-01-31

6.  Plateau Adaptation Gene Analyses Reveal Transcriptomic, Proteomic, and Dual Omics Expression in the Lung Tissues of Tibetan and Yorkshire Pigs.

Authors:  Peng Shang; Bo Zhang; Pan Li; Zulfiqar Ahmed; Xiaoxiang Hu; Yangzom Chamba; Hao Zhang
Journal:  Animals (Basel)       Date:  2022-07-27       Impact factor: 3.231

7.  NOD-like receptors mediate inflammatory lung injury during plateau hypoxia exposure.

Authors:  Haiyan Wang; Xue Lin; Xiaoyan Pu
Journal:  J Physiol Anthropol       Date:  2020-10-07       Impact factor: 2.867

8.  Characteristics of pulmonary microvascular structure in postnatal yaks.

Authors:  Ruidong Wan; Ziqi Zhao; Min Zhao; Ke Hu; Jiaxin Zhai; Hongxian Yu; Qing Wei
Journal:  Sci Rep       Date:  2021-09-14       Impact factor: 4.379

  8 in total

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