151. Comparative transcriptomics of 5 high-altitude vertebrates and their low-altitude relatives
- Author
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Kereng Long, Xiaohui Chen, Long Jin, Jing Li, Rui Liu, Anan Jiang, Miaomiao Mai, Yang Xuemei, Xiaolin Luo, Qianzi Tang, Guosong Wang, Xuebin Lv, Yiren Gu, Mingzhou Li, Zhijun Zhong, Xuming Zhou, Tao Xuan, Diyan Li, Xuewei Li, Silu Hu, Jiuqiang Guan, Shilin Tian, Xun Wang, Liang Yan, Jideng Ma, Tiandong Che, and Vadim N. Gladyshev
- Subjects
0106 biological sciences ,0301 basic medicine ,Swine ,Acclimatization ,Health Informatics ,Biology ,Data Note ,01 natural sciences ,Genome ,03 medical and health sciences ,Altitude ,Phylogenetics ,comparative transcriptomics ,high-altitude vertebrates ,Animals ,Gene ,Phylogeny ,Local adaptation ,Sheep ,Whole Genome Sequencing ,Gene Expression Profiling ,Goats ,Alternative splicing ,Computer Science Applications ,Gene expression profiling ,Alternative Splicing ,030104 developmental biology ,Evolutionary biology ,gene expression ,Cattle ,Adaptation ,Transcriptome ,Chickens ,010606 plant biology & botany - 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.
- Published
- 2017