Title: High-Altitude Adaptation: Mechanistic Insights from Integrated Genomics and Physiology
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. more »« less
Storz, Jay F.; Cheviron, Zachary A.
(, Annual Review of Animal Biosciences)
null
(Ed.)
Population genomic studies of humans and other animals at high altitude have generated many hypotheses about the genes and pathways that may have contributed to hypoxia adaptation. Future advances require experimental tests of such hypotheses to identify causal mechanisms. Studies to date illustrate the challenge of moving from lists of candidate genes to the identification of phenotypic targets of selection, as it can be difficult to determine whether observed genotype–phenotype associations reflect causal effects or secondary consequences of changes in other traits that are linked via homeostatic regulation. Recent work on high-altitude models such as deer mice has revealed both plastic and evolved changes in respiratory, cardiovascular, and metabolic traits that contribute to aerobic performance capacity in hypoxia, and analyses of tissue-specific transcriptomes have identified changes in regulatory networks that mediate adaptive changes in physiological phenotype. Here we synthesize recent results and discuss lessons learned from studies of high-altitude adaptation that lie at the intersection of genomics and physiology.
Ivy, Catherine M.; Wearing, Oliver H.; Natarajan, Chandrasekhar; Schweizer, Rena M.; Gutiérrez-Pinto, Natalia; Velotta, Jonathan P.; Campbell-Staton, Shane C.; Petersen, Elin E.; Fago, Angela; Cheviron, Zachary A.; et al
(, Journal of Experimental Biology)
ABSTRACT Physiological systems often have emergent properties but the effects of genetic variation on physiology are often unknown, which presents a major challenge to understanding the mechanisms of phenotypic evolution. We investigated whether genetic variants in haemoglobin (Hb) that contribute to high-altitude adaptation in deer mice (Peromyscus maniculatus) are associated with evolved changes in the control of breathing. We created F2 inter-population hybrids of highland and lowland deer mice to test for phenotypic associations of α- and β-globin variants on a mixed genetic background. Hb genotype had expected effects on Hb–O2 affinity that were associated with differences in arterial O2 saturation in hypoxia. However, high-altitude genotypes were also associated with breathing phenotypes that should contribute to enhancing O2 uptake in hypoxia. Mice with highland α-globin exhibited a more effective breathing pattern, with highland homozygotes breathing deeper but less frequently across a range of inspired O2, and this difference was comparable to the evolved changes in breathing pattern in deer mouse populations native to high altitude. The ventilatory response to hypoxia was augmented in mice that were homozygous for highland β-globin. The association of globin variants with variation in breathing phenotypes could not be recapitulated by acute manipulation of Hb–O2 affinity, because treatment with efaproxiral (a synthetic drug that acutely reduces Hb–O2 affinity) had no effect on breathing in normoxia or hypoxia. Therefore, adaptive variation in Hb may have unexpected effects on physiology in addition to the canonical function of this protein in circulatory O2 transport.
Epstein, Brendan; Abou-Shanab, Reda A.; Shamseldin, Abdelaal; Taylor, Margaret R.; Guhlin, Joseph; Burghardt, Liana T.; Nelson, Matthew; Sadowsky, Michael J.; Tiffin, Peter; Oh, Julia
(, mSphere)
ABSTRACT Genome-wide association studies (GWAS) can identify genetic variants responsible for naturally occurring and quantitative phenotypic variation. Association studies therefore provide a powerful complement to approaches that rely on de novo mutations for characterizing gene function. Although bacteria should be amenable to GWAS, few GWAS have been conducted on bacteria, and the extent to which nonindependence among genomic variants (e.g., linkage disequilibrium [LD]) and the genetic architecture of phenotypic traits will affect GWAS performance is unclear. We apply association analyses to identify candidate genes underlying variation in 20 biochemical, growth, and symbiotic phenotypes among 153 strains of Ensifer meliloti . For 11 traits, we find genotype-phenotype associations that are stronger than expected by chance, with the candidates in relatively small linkage groups, indicating that LD does not preclude resolving association candidates to relatively small genomic regions. The significant candidates show an enrichment for nucleotide polymorphisms (SNPs) over gene presence-absence variation (PAV), and for five traits, candidates are enriched in large linkage groups, a possible signature of epistasis. Many of the variants most strongly associated with symbiosis phenotypes were in genes previously identified as being involved in nitrogen fixation or nodulation. For other traits, apparently strong associations were not stronger than the range of associations detected in permuted data. In sum, our data show that GWAS in bacteria may be a powerful tool for characterizing genetic architecture and identifying genes responsible for phenotypic variation. However, careful evaluation of candidates is necessary to avoid false signals of association. IMPORTANCE Genome-wide association analyses are a powerful approach for identifying gene function. These analyses are becoming commonplace in studies of humans, domesticated animals, and crop plants but have rarely been conducted in bacteria. We applied association analyses to 20 traits measured in Ensifer meliloti , an agriculturally and ecologically important bacterium because it fixes nitrogen when in symbiosis with leguminous plants. We identified candidate alleles and gene presence-absence variants underlying variation in symbiosis traits, antibiotic resistance, and use of various carbon sources; some of these candidates are in genes previously known to affect these traits whereas others were in genes that have not been well characterized. Our results point to the potential power of association analyses in bacteria, but also to the need to carefully evaluate the potential for false associations.
Perry, Blair W; Jansen, Heiko T; Enstrom, Alexis N; Kelley, Joanna L
(, Annual Review of Genetics)
Hibernation is a fascinating adaptation to food-scarce winters, characterized by significant physiological and behavioral changes, including fasting, inactivity, and insulin resistance. While hibernation is critical for the survival of many species, hibernation-related traits are often considered pathological in humans. Hibernation has been studied from a genomic perspective, especially with respect to transcription across multiple tissues. These studies have identified the differential activity of signaling pathways related to metabolism, tissue protection, and other mechanisms likely underlying hibernation phenotypes. Bears, in particular, are an interesting model for physiological and genomic studies of hibernation due to their large size and unique mode of hibernation compared to other small mammalian hibernators. Investigating the intricate molecular mechanisms underlying bear hibernation may therefore provide insight into fundamental biological processes with potential translational implications for human health, particularly with respect to metabolic disorders such as type II diabetes. This review focuses on recent advances and outstanding questions related to the exploration of bear hibernation from a genomic perspective.
Storz, Jay F. High-Altitude Adaptation: Mechanistic Insights from Integrated Genomics and Physiology. Retrieved from https://par.nsf.gov/biblio/10283509. Molecular Biology and Evolution 38.7 Web. doi:10.1093/molbev/msab064.
Storz, Jay F. High-Altitude Adaptation: Mechanistic Insights from Integrated Genomics and Physiology. Molecular Biology and Evolution, 38 (7). Retrieved from https://par.nsf.gov/biblio/10283509. https://doi.org/10.1093/molbev/msab064
@article{osti_10283509,
place = {Country unknown/Code not available},
title = {High-Altitude Adaptation: Mechanistic Insights from Integrated Genomics and Physiology},
url = {https://par.nsf.gov/biblio/10283509},
DOI = {10.1093/molbev/msab064},
abstractNote = {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.},
journal = {Molecular Biology and Evolution},
volume = {38},
number = {7},
author = {Storz, Jay F.},
editor = {Nielsen, Rasmus}
}
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