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高海拔适应:综合基因组学和生理学的机制见解。

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

机构信息

School of Biological Sciences, University of Nebraska, Lincoln, NE, USA.

出版信息

Mol Biol Evol. 2021 Jun 25;38(7):2677-2691. doi: 10.1093/molbev/msab064.

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.

摘要

对高海拔人类和其他脊椎动物的群体基因组分析已经确定了许多适应低氧的候选基因,这些分析所涉及的生理途径表明了关于潜在机制的可测试假说。将基因组数据与对生理性能和从属特征的实验测量相结合的高原原住民研究揭示了基因型(例如,缺氧诱导因子基因变体)与缺氧反应表型之间的关联。随后,对因果机制的研究变得复杂,因为与缺氧诱导表型相关的观察到的基因型关联可能反映了通过反馈调节与焦点特征相关的其他(未测量)特征的选择介导变化的二阶后果。为了解析反馈控制回路和表型整合模式而进行的操纵实验有助于确定观察到的基因型-表型关联的因果关系。此类实验对于关于选择的表型靶标和适应机制的正确推断至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f84f/8233491/06abfd8d199d/msab064f1.jpg

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