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      Shared Genetic Signals of Hypoxia Adaptation in Drosophila and in High-Altitude Human Populations

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          Abstract

          The ability to withstand low oxygen (hypoxia tolerance) is a polygenic and mechanistically conserved trait that has important implications for both human health and evolution. However, little is known about the diversity of genetic mechanisms involved in hypoxia adaptation in evolving populations. We used experimental evolution and whole-genome sequencing in Drosophila melanogaster to investigate the role of natural variation in adaptation to hypoxia. Using a generalized linear mixed model we identified significant allele frequency differences between three independently evolved hypoxia-tolerant populations and normoxic control populations for approximately 3,800 single nucleotide polymorphisms. Around 50% of these variants are clustered in 66 distinct genomic regions. These regions contain genes that are differentially expressed between hypoxia-tolerant and normoxic populations and several of the differentially expressed genes are associated with metabolic processes. Additional genes associated with respiratory and open tracheal system development also show evidence of directional selection. RNAi-mediated knockdown of several candidate genes’ expression significantly enhanced survival in severe hypoxia. Using genomewide single nucleotide polymorphism data from four high-altitude human populations—Sherpas, Tibetans, Ethiopians, and Andeans, we found that several human orthologs of the genes under selection in flies are also likely under positive selection in all four high-altitude human populations. Thus, our results indicate that selection for hypoxia tolerance can act on standing genetic variation in similar genes and pathways present in organisms diverged by hundreds of millions of years.

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          Most cited references43

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          The hitch-hiking effect of a favourable gene.

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            Diet and the evolution of human amylase gene copy number variation.

            Starch consumption is a prominent characteristic of agricultural societies and hunter-gatherers in arid environments. In contrast, rainforest and circum-arctic hunter-gatherers and some pastoralists consume much less starch. This behavioral variation raises the possibility that different selective pressures have acted on amylase, the enzyme responsible for starch hydrolysis. We found that copy number of the salivary amylase gene (AMY1) is correlated positively with salivary amylase protein level and that individuals from populations with high-starch diets have, on average, more AMY1 copies than those with traditionally low-starch diets. Comparisons with other loci in a subset of these populations suggest that the extent of AMY1 copy number differentiation is highly unusual. This example of positive selection on a copy number-variable gene is, to our knowledge, one of the first discovered in the human genome. Higher AMY1 copy numbers and protein levels probably improve the digestion of starchy foods and may buffer against the fitness-reducing effects of intestinal disease.
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              Soft sweeps: molecular population genetics of adaptation from standing genetic variation.

              A population can adapt to a rapid environmental change or habitat expansion in two ways. It may adapt either through new beneficial mutations that subsequently sweep through the population or by using alleles from the standing genetic variation. We use diffusion theory to calculate the probabilities for selective adaptations and find a large increase in the fixation probability for weak substitutions, if alleles originate from the standing genetic variation. We then determine the parameter regions where each scenario-standing variation vs. new mutations-is more likely. Adaptations from the standing genetic variation are favored if either the selective advantage is weak or the selection coefficient and the mutation rate are both high. Finally, we analyze the probability of "soft sweeps," where multiple copies of the selected allele contribute to a substitution, and discuss the consequences for the footprint of selection on linked neutral variation. We find that soft sweeps with weaker selective footprints are likely under both scenarios if the mutation rate and/or the selection coefficient is high.
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                Author and article information

                Journal
                Mol Biol Evol
                Mol. Biol. Evol
                molbev
                molbiolevol
                Molecular Biology and Evolution
                Oxford University Press
                0737-4038
                1537-1719
                February 2016
                17 November 2015
                17 November 2015
                : 33
                : 2
                : 501-517
                Affiliations
                1Institute for Genomics and Systems Biology, The University of Chicago
                2Department of Human Genetics, The University of Chicago
                3Department of Ecology and Evolution, The University of Chicago
                4Division of Respiratory Medicine, Department of Pediatrics, University of California at San Diego
                5Committee on Genetics, Genomics and Systems Biology, The University of Chicago
                6Department of Neurosciences, University of California at San Diego
                7Rady Children’s Hospital, San Diego, CA
                Author notes

                Present address: Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA

                * Corresponding author: E-mail: kpwhite@ 123456uchicago.edu .

                Associate editor: Joshua Akey

                Article
                msv248
                10.1093/molbev/msv248
                4866538
                26576852
                039fe21d-348d-4899-83bc-781cafb02173
                © The Author 2015. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                Page count
                Pages: 17
                Categories
                Discoveries

                Molecular biology
                experimental evolution,evolution,adaptation,hypoxia,high-altitude adaptation,evolve and resequence,pooled sequencing,polygenic traits,complex traits

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