High-Altitude Adaptation: Mechanistic Insights from Integrated Genomics and Physiology

Jay F. Storz

Research output: Contribution to journalReview articlepeer-review

71 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)2677-2691
Number of pages15
JournalMolecular biology and evolution
Volume38
Issue number7
DOIs
StatePublished - Jul 1 2021

Keywords

  • EPAS1
  • adaptation
  • altitude
  • genotype-phenotype association
  • hypoxia
  • hypoxia-inducible factor

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Molecular Biology
  • Genetics

Fingerprint

Dive into the research topics of 'High-Altitude Adaptation: Mechanistic Insights from Integrated Genomics and Physiology'. Together they form a unique fingerprint.

Cite this