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Chromosome‐level genome assembly of Triplophysa tibetana, a fish adapted to the harsh high‐altitude environment of the Tibetan Plateau.

Authors :
Yang, Xuefen
Liu, Haiping
Ma, Zhihong
Zou, Yu
Zou, Ming
Mao, Youzhi
Li, Xiaomei
Wang, Huan
Chen, Tiansheng
Wang, Weimin
Yang, Ruibin
Source :
Molecular Ecology Resources. Jul2019, Vol. 19 Issue 4, p1027-1036. 10p.
Publication Year :
2019

Abstract

Triplophysa is an endemic fish genus of the Tibetan Plateau in China. Triplophysa tibetana, which lives at a recorded altitude of ~4,000 m and plays an important role in the highland aquatic ecosystem, serves as an excellent model for investigating high‐altitude environmental adaptation. However, evolutionary and conservation studies of T. tibetana have been limited by scarce genomic resources for the genus Triplophysa. In the present study, we applied PacBio sequencing and the Hi‐C technique to assemble the T. tibetana genome. A 652‐Mb genome with 1,325 contigs with an N50 length of 3.1 Mb was obtained. The 1,137 contigs were further assembled into 25 chromosomes, representing 98.7% and 80.47% of all contigs at the base and sequence number level, respectively. Approximately 260 Mb of sequence, accounting for ~39.8% of the genome, was identified as repetitive elements. DNA transposons (16.3%), long interspersed nuclear elements (12.4%) and long terminal repeats (11.0%) were the most repetitive types. In total, 24,372 protein‐coding genes were predicted in the genome, and ~95% of the genes were functionally annotated via a search in public databases. Using whole genome sequence information, we found that T. tibetana diverged from its common ancestor with Danio rerio ~121.4 million years ago. The high‐quality genome assembled in this work not only provides a valuable genomic resource for future population and conservation studies of T. tibetana, but it also lays a solid foundation for further investigation into the mechanisms of environmental adaptation of endemic fishes in the Tibetan Plateau. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1755098X
Volume :
19
Issue :
4
Database :
Academic Search Index
Journal :
Molecular Ecology Resources
Publication Type :
Academic Journal
Accession number :
137027996
Full Text :
https://doi.org/10.1111/1755-0998.13021