Comparative transcriptomics of 5 high-altitude vertebrates and their low-altitude relatives

Qianzi Tang(Sichuan Agricultural University), Yiren Gu(Sichuan Animal Science Academy), Xuming Zhou(Brigham and Women's Hospital), Long Jin(Sichuan Agricultural University), Jiuqiang Guan, Rui Liu(Sichuan Agricultural University), Jing Li(Sichuan Agricultural University), Kereng Long(Sichuan Agricultural University), Shilin Tian(Sichuan Agricultural University), Tiandong Che(Sichuan Agricultural University), Silu Hu(Sichuan Agricultural University), Yan Liang(Sichuan Animal Science Academy), Xuemei Yang(Sichuan Animal Science Academy), Xuan Tao(Sichuan Animal Science Academy), Zhijun Zhong(Sichuan Animal Science Academy), Guosong Wang(Sichuan Agricultural University), Xiaohui Chen(Sichuan Animal Science Academy), Diyan Li(Sichuan Agricultural University), Jideng Ma(Sichuan Agricultural University), Xun Wang(Sichuan Agricultural University), Miaomiao Mai(Sichuan Agricultural University), Anan Jiang(Sichuan Agricultural University), Xiaolin Luo, Xuebin Lv(Sichuan Animal Science Academy), Vadim N. Gladyshev(Brigham and Women's Hospital), Xuewei Li(Sichuan Agricultural University), Mingzhou Li(Sichuan Agricultural University)
GigaScience
November 15, 2017
Cited by 90Open Access
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Abstract

Background: Species living at high altitude are subject to strong selective pressures due to inhospitable environments (e.g., hypoxia, low temperature, high solar radiation, and lack of biological production), making these species valuable models for comparative analyses of local adaptation. Studies that have examined high-altitude adaptation have identified a vast array of rapidly evolving genes that characterize the dramatic phenotypic changes in high-altitude animals. However, how high-altitude environment shapes gene expression programs remains largely unknown. Findings: We generated a total of 910 Gb of high-quality RNA-seq data for 180 samples derived from 6 tissues of 5 agriculturally important high-altitude vertebrates (Tibetan chicken, Tibetan pig, Tibetan sheep, Tibetan goat, and yak) and their cross-fertile relatives living in geographically neighboring low-altitude regions. Of these, ∼75% reads could be aligned to their respective reference genomes, and on average ∼60% of annotated protein coding genes in each organism showed FPKM expression values greater than 0.5. We observed a general concordance in topological relationships between the nucleotide alignments and gene expression-based trees. Tissue and species accounted for markedly more variance than altitude based on either the expression or the alternative splicing patterns. Cross-species clustering analyses showed a tissue-dominated pattern of gene expression and a species-dominated pattern for alternative splicing. We also identified numerous differentially expressed genes that could potentially be involved in phenotypic divergence shaped by high-altitude adaptation. Conclusions: These data serve as a valuable resource for examining the convergence and divergence of gene expression changes between species as they adapt or acclimatize to high-altitude environments.


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