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Evidence of high-altitude adaptation in the glyptosternoid fish, Creteuchiloglanis macropterus from the Nujiang River obtained through transcriptome analysis

Overview of attention for article published in BMC Ecology and Evolution, November 2017
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Title
Evidence of high-altitude adaptation in the glyptosternoid fish, Creteuchiloglanis macropterus from the Nujiang River obtained through transcriptome analysis
Published in
BMC Ecology and Evolution, November 2017
DOI 10.1186/s12862-017-1074-0
Pubmed ID
Authors

Jingliang Kang, Xiuhui Ma, Shunping He

Abstract

Organisms living at high altitudes face low oxygen and temperature conditions; thus, the genetic mechanisms underlying the adaptations in these organisms merit investigation. The glyptosternoid fish, Creteuchiloglanis macropterus mainly inhabits regions with gradual increases in altitudes along the Nujiang River and might serve as an appropriate evolutionary model for detecting adaptation processes in environments with altitude changes. We constructed eleven RNA-sequencing (RNA-seq) libraries of C. macropterus collected from five locations at different altitudes to identify the genetic signatures of high-altitude adaptation. The comparative genomic analysis indicated that C. macropterus has an accelerated evolutionary rate compared with that of fishes in the lowland, and fishes at higher altitudes might evolve faster. Functional enrichment analysis of the fast-evolving and positively selected genes, differentially expressed genes and highly expressed genes, showed that these genes were involved in many functions related to energy metabolism and hypoxia. Our study provides evidence of high-altitude adaptation in C. macropterus, and the detected adaptive genes might be a resource for future investigations of adaptations to high-altitude environments in other fishes.

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Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 16%
Student > Bachelor 3 12%
Researcher 3 12%
Student > Postgraduate 2 8%
Student > Master 2 8%
Other 3 12%
Unknown 8 32%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 40%
Biochemistry, Genetics and Molecular Biology 3 12%
Environmental Science 1 4%
Computer Science 1 4%
Immunology and Microbiology 1 4%
Other 0 0%
Unknown 9 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 November 2017.
All research outputs
#20,663,600
of 25,382,440 outputs
Outputs from BMC Ecology and Evolution
#3,267
of 3,714 outputs
Outputs of similar age
#339,453
of 445,887 outputs
Outputs of similar age from BMC Ecology and Evolution
#60
of 65 outputs
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