High-Altitude Adaptation: Mechanistic Insights from Integrated Genomics and Physiology
- PMID: 33751123
- PMCID: PMC8233491
- DOI: 10.1093/molbev/msab064
High-Altitude Adaptation: Mechanistic Insights from Integrated Genomics and Physiology
Abstract
Population genomic analyses of high-altitude humans and other vertebrates have identified numerous candidate genes for hypoxia adaptation, and the physiological pathways implicated by such analyses suggest testable hypotheses about underlying mechanisms. Studies of highland natives that integrate genomic data with experimental measures of physiological performance capacities and subordinate traits are revealing associations between genotypes (e.g., hypoxia-inducible factor gene variants) and hypoxia-responsive phenotypes. The subsequent search for causal mechanisms is complicated by the fact that observed genotypic associations with hypoxia-induced phenotypes may reflect second-order consequences of selection-mediated changes in other (unmeasured) traits that are coupled with the focal trait via feedback regulation. Manipulative experiments to decipher circuits of feedback control and patterns of phenotypic integration can help identify causal relationships that underlie observed genotype-phenotype associations. Such experiments are critical for correct inferences about phenotypic targets of selection and mechanisms of adaptation.
Keywords: EPAS1; adaptation; altitude; genotype–phenotype association; hypoxia; hypoxia-inducible factor.
© The Author(s) 2021. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution.
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