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Polymorphic transposable elements provide new insights on high-altitude adaptation in the Tibetan Plateau.
- Source :
-
Genomics . May2024, Vol. 116 Issue 3, pN.PAG-N.PAG. 1p. - Publication Year :
- 2024
-
Abstract
- Several studies demonstrated that populations living in the Tibetan plateau are genetically and physiologically adapted to high-altitude conditions, showing genomic signatures ascribable to the action of natural selection. However, so far most of them relied solely on inferences drawn from the analysis of coding variants and point mutations. To fill this gap, we focused on the possible role of polymorphic transposable elements in influencing the adaptation of Tibetan and Sherpa highlanders. To do so, we compared high-altitude and middle/low-lander individuals of East Asian ancestry by performing in silico analyses and differentiation tests on 118 modern and ancient samples. We detected several transposable elements associated with high altitude, which map genes involved in cardiovascular, hematological, chem-dependent and respiratory conditions, suggesting that metabolic and signaling pathways taking part in these functions are disproportionately impacted by the effect of environmental stressors in high-altitude individuals. To our knowledge, our study is the first hinting to a possible role of transposable elements in the adaptation of Tibetan and Sherpa highlanders. • Tibetan and Sherpa groups are physiologically adapted to high-altitude environments. • We analyzed 118 high-coverage genomes from high-, middle- and low- altitude populations of East Asia and Africa. • Polymorphic transposable elements (TEs) are useful for detecting signatures of differentiation and population structure. • Polymorphic TEs possibly contributed to differentiation and adaptation of Tibetan and Sherpa highlanders. [ABSTRACT FROM AUTHOR]
- Subjects :
- *EAST Asians
*TIBETANS
*POPULATION differentiation
*NATURAL selection
Subjects
Details
- Language :
- English
- ISSN :
- 08887543
- Volume :
- 116
- Issue :
- 3
- Database :
- Academic Search Index
- Journal :
- Genomics
- Publication Type :
- Academic Journal
- Accession number :
- 177394082
- Full Text :
- https://doi.org/10.1016/j.ygeno.2024.110854