Journal of genetics and genomics/Journal of Genetics and Genomics · 2023 · 39 citations · 89 references
Life SciencesBiologyGeneticsHuman GeneticsMolecular EvolutionPopulation GeneticsAnthropological GeneticsEvolutionEvolutionary RelationshipsLandscape GenomicsLocal AdaptationMolecular AnthropologyAdaptive Evolution In HumansComplex Disease GeneticsGenetic Architecture Of AdaptationHigh-altitude AdaptationHuman Migration HistoryPhylogeographic InferencePigmentation VariationPopulation Genomic Differentiation
Tibeto-Burman (TB) people have endeavored to adapt to the hypoxic, cold, and high-UV high-altitude environments in the Tibetan Plateau and complex disease exposures in lowland rainforests since the late Paleolithic period. However, the full landscape of genetic history and biological adaptation of geographically diverse TB-speaking people, as well as their interaction mechanism, remain unknown. Here, we generate a whole-genome meta-database of 500 individuals from 39 TB-speaking populations and present a comprehensive landscape of genetic diversity, admixture history, and differentiated adaptative features of geographically different TB-speaking people. We identify genetic differentiation related to geography and language among TB-speaking people, consistent with their differentiated admixture process with incoming or indigenous ancestral source populations. A robust genetic connection between the Tibetan-Yi corridor and the ancient Yellow River people supports their Northern China origin hypothesis. We finally report substructure-related differentiated biological adaptative signatures between highland Tibetans and Loloish speakers. Adaptative signatures associated with the physical pigmentation (EDAR and SLC24A5) and metabolism (ALDH9A1) are identified in Loloish people, which differed from the high-altitude adaptative genetic architecture in Tibetan. TB-related genomic resources provide new insights into the genetic basis of biological adaptation and better reference for the anthropologically informed sampling design in biomedical and genomic cohort research.
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