Storz Jay F, Cheviron Zachary A
School of Biological Sciences, University of Nebraska, Lincoln, NE, USA.
Division of Biological Sciences, University of Montana, Missoula, MT, USA.
Adv Exp Med Biol. 2016;903:113-28. doi: 10.1007/978-1-4899-7678-9_8.
Recent studies of indigenous human populations at high altitude have provided proof-of-principle that genome scans of DNA polymorphism can be used to identify candidate loci for hypoxia adaptation. When integrated with experimental analyses of physiological phenotypes, genome-wide surveys of DNA polymorphism and tissue-specific transcriptional profiles can provide insights into actual mechanisms of adaptation. It has been suggested that adaptive phenotypic evolution is largely mediated by cis-regulatory changes in genes that are located at integrative control points in regulatory networks. This hypothesis can be tested by conducting transcriptomic analyses of hypoxic signaling pathways in conjunction with experimental measures of vascular oxygen supply and metabolic pathway flux. Such studies may reveal whether the architecture of gene regulatory networks can be used to predict which loci (and which types of loci) are likely to be "hot spots" for adaptive physiological evolution. Functional genomic studies of deer mice (Peromyscus maniculatus) demonstrate how the integrated analysis of variation in tissue-specific transcriptomes, whole-animal physiological performance, and various subordinate traits can yield insights into the mechanistic underpinnings of high-altitude adaptation.
近期对高海拔地区土著人群的研究提供了原理证明,即DNA多态性的基因组扫描可用于识别低氧适应的候选基因座。当与生理表型的实验分析相结合时,DNA多态性的全基因组调查和组织特异性转录谱可提供对实际适应机制的见解。有人提出,适应性表型进化在很大程度上是由位于调控网络整合控制点的基因的顺式调控变化介导的。这一假设可以通过结合血管氧气供应和代谢途径通量的实验测量,对低氧信号通路进行转录组分析来检验。此类研究可能揭示基因调控网络的结构是否可用于预测哪些基因座(以及哪些类型的基因座)可能是适应性生理进化的“热点”。对鹿鼠(白足鼠)的功能基因组研究表明,对组织特异性转录组变异、全动物生理性能和各种次要性状进行综合分析,如何能够深入了解高海拔适应的机制基础。