Functional genomic insights into regulatory mechanisms of high-altitude adaptation

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

21 Scopus citations

Abstract

Recent studies of indigenous human populations at high altitude have provided proof-ofprinciple 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-specifi c transcriptional profi les 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 fl ux. 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 phy siological evolution. Functional genomic studies of deer mice ( Peromyscus maniculatus ) demonstrate how the integrated analysis of variation in tissue-specifi c transcriptomes, whole-animal physiological performance, and various subordinate traits can yield insights into the mechanistic underpinnings of highaltitude adaptation.

Original languageEnglish
Title of host publicationAdvances in Experimental Medicine and Biology
PublisherSpringer New York LLC
Pages113-128
Number of pages16
DOIs
StatePublished - 2016

Publication series

NameAdvances in Experimental Medicine and Biology
Volume903
ISSN (Print)0065-2598
ISSN (Electronic)2214-8019

Funding

We thank C.M. Beall and G.R. Scott for providing figures, and we gratefully acknowledge funding support from the National Institutes of Health/National Heart, Lung, and Blood Institute (HL087216 [JFS]) and the National Science Foundation (IOS-1354390 [JFS], MCB-1517636 [JFS], IOS-1354934 [ZAC]), and IOS-1444161 [ZAC]).

Funder number
IOS-1444161
MCB-1517636, IOS-1354390, IOS-1354934
R01HL087216

    Keywords

    • Functional genomics
    • Hypoxia
    • Peromyscus
    • Population genomics
    • Systems genetics
    • Transcriptomics

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