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High-Altitude Adaptation: Mechanistic Insights from Integrated Genomics and Physiology
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 ge...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Oxford University Press
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8233491/ https://www.ncbi.nlm.nih.gov/pubmed/33751123 http://dx.doi.org/10.1093/molbev/msab064 |
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author | Storz, Jay F. |
author_facet | Storz, Jay F. |
author_sort | Storz, Jay F. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8233491 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-82334912021-06-28 High-Altitude Adaptation: Mechanistic Insights from Integrated Genomics and Physiology Storz, Jay F. Mol Biol Evol Review 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. Oxford University Press 2021-03-04 /pmc/articles/PMC8233491/ /pubmed/33751123 http://dx.doi.org/10.1093/molbev/msab064 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Storz, Jay F. High-Altitude Adaptation: Mechanistic Insights from Integrated Genomics and Physiology |
title | High-Altitude Adaptation: Mechanistic Insights from Integrated Genomics and Physiology |
title_full | High-Altitude Adaptation: Mechanistic Insights from Integrated Genomics and Physiology |
title_fullStr | High-Altitude Adaptation: Mechanistic Insights from Integrated Genomics and Physiology |
title_full_unstemmed | High-Altitude Adaptation: Mechanistic Insights from Integrated Genomics and Physiology |
title_short | High-Altitude Adaptation: Mechanistic Insights from Integrated Genomics and Physiology |
title_sort | high-altitude adaptation: mechanistic insights from integrated genomics and physiology |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8233491/ https://www.ncbi.nlm.nih.gov/pubmed/33751123 http://dx.doi.org/10.1093/molbev/msab064 |
work_keys_str_mv | AT storzjayf highaltitudeadaptationmechanisticinsightsfromintegratedgenomicsandphysiology |