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Comprehensive transcriptome data for endemic Schizothoracinae fish in the Tibetan Plateau
Chaowei Zhou1,2, Shijun Xiao1,3, Yanchao Liu1
1Institute of Fisheries Science, Tibet Academy of Agricultural and Animal Husbandry Sciences, Lhasa, 850002, China.
Scientific Data
|January 23, 2020
Summary
This study presents the first comprehensive transcriptome data for Schizothoracinae fishes from the Tibetan Plateau. This resource aids in understanding highland adaptation and speciation in these endemic species.
Area of Science:
- Ichthyology
- Genomics
- Evolutionary Biology
Background:
- Schizothoracinae fishes are endemic to the Tibetan Plateau, serving as key models for studying highland adaptation and speciation.
- Existing transcriptome data for highland fishes is limited, with a notable gap in Schizothoracinae information.
Purpose of the Study:
- To generate comprehensive de novo transcriptome data for 14 representative Schizothoracinae species.
- To provide a valuable genomic resource for investigating environmental adaptation and speciation in Tibetan Plateau fishes.
Main Methods:
- Sequencing and de novo assembly of transcriptomes from 183 Schizothoracinae samples.
- Obtaining 76,602–154,860 unigenes per species with N50 lengths of 1,564–2,143 bp.
- Functional annotation of over half of the assembled unigenes using public databases.
Main Results:
- Acquisition of approximately 1,363 Gb of transcriptome clean data.
- Successful assembly of a large number of unigenes across 14 Schizothoracinae species.
- Identification of diverse ecological distributions, phenotypes, and feeding habits within the studied Schizothoracinae.
Conclusions:
- The generated transcriptome data represents a significant resource for Schizothoracinae research.
- This data will facilitate deeper insights into the mechanisms of highland adaptation and speciation in this unique fish group.
- The findings support the ecological and evolutionary distinctiveness of Schizothoracinae in the Tibetan Plateau environment.

