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      Polygenic adaptation and convergent evolution on growth and cardiac genetic pathways in African and Asian rainforest hunter-gatherers

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          Significance

          The “pygmy” phenotype is a classic example of convergent adaptation in humans, having evolved independently in both African and Asian rainforest hunter-gatherers. By focusing on indications of subtle allele-frequency changes occurring in aggregate across variants in many genes (polygenic adaptation), we observed signatures of positive natural selection on the same growth-related pathways in rainforest hunter-gatherer populations from both continents. Unexpectedly, we also observed signatures of convergent positive selection on heart development pathway genes. We hypothesize that the heart pathway result may reflect compensatory changes following height-related adaptation in the GH/IGF1 pathway, which in addition to general growth processes also affects heart development. Our results exemplify the insights that can be gained from comparative studies of diverse human populations.

          Abstract

          Different human populations facing similar environmental challenges have sometimes evolved convergent biological adaptations, for example, hypoxia resistance at high altitudes and depigmented skin in northern latitudes on separate continents. The “pygmy” phenotype (small adult body size), characteristic of hunter-gatherer populations inhabiting both African and Asian tropical rainforests, is often highlighted as another case of convergent adaptation in humans. However, the degree to which phenotypic convergence in this polygenic trait is due to convergent versus population-specific genetic changes is unknown. To address this question, we analyzed high-coverage sequence data from the protein-coding portion of the genomes of two pairs of populations: Batwa rainforest hunter-gatherers and neighboring Bakiga agriculturalists from Uganda and Andamanese rainforest hunter-gatherers and Brahmin agriculturalists from India. We observed signatures of convergent positive selection between the rainforest hunter-gatherers across the set of genes with “growth factor binding” functions ( P < 0.001 ). Unexpectedly, for the rainforest groups, we also observed convergent and population-specific signatures of positive selection in pathways related to cardiac development (e.g., “cardiac muscle tissue development”; P = 0.001 ). We hypothesize that the growth hormone subresponsiveness likely underlying the adult small body-size phenotype may have led to compensatory changes in cardiac pathways, in which this hormone also plays an essential role. Importantly, in the agriculturalist populations, we did not observe similar patterns of positive selection on sets of genes associated with growth or cardiac development, indicating our results most likely reflect a history of convergent adaptation to the similar ecology of rainforests rather than a more general evolutionary pattern.

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          Most cited references38

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          The genetics of human adaptation: hard sweeps, soft sweeps, and polygenic adaptation.

          There has long been interest in understanding the genetic basis of human adaptation. To what extent are phenotypic differences among human populations driven by natural selection? With the recent arrival of large genome-wide data sets on human variation, there is now unprecedented opportunity for progress on this type of question. Several lines of evidence argue for an important role of positive selection in shaping human variation and differences among populations. These include studies of comparative morphology and physiology, as well as population genetic studies of candidate loci and genome-wide data. However, the data also suggest that it is unusual for strong selection to drive new mutations rapidly to fixation in particular populations (the 'hard sweep' model). We argue, instead, for alternatives to the hard sweep model: in particular, polygenic adaptation could allow rapid adaptation while not producing classical signatures of selective sweeps. We close by discussing some of the likely opportunities for progress in the field. Copyright 2010 Elsevier Ltd. All rights reserved.
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            The genetic causes of convergent evolution.

            The evolution of phenotypic similarities between species, known as convergence, illustrates that populations can respond predictably to ecological challenges. Convergence often results from similar genetic changes, which can emerge in two ways: the evolution of similar or identical mutations in independent lineages, which is termed parallel evolution; and the evolution in independent lineages of alleles that are shared among populations, which I call collateral genetic evolution. Evidence for parallel and collateral evolution has been found in many taxa, and an emerging hypothesis is that they result from the fact that mutations in some genetic targets minimize pleiotropic effects while simultaneously maximizing adaptation. If this proves correct, then the molecular changes underlying adaptation might be more predictable than has been appreciated previously.
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              An Aboriginal Australian genome reveals separate human dispersals into Asia.

              We present an Aboriginal Australian genomic sequence obtained from a 100-year-old lock of hair donated by an Aboriginal man from southern Western Australia in the early 20th century. We detect no evidence of European admixture and estimate contamination levels to be below 0.5%. We show that Aboriginal Australians are descendants of an early human dispersal into eastern Asia, possibly 62,000 to 75,000 years ago. This dispersal is separate from the one that gave rise to modern Asians 25,000 to 38,000 years ago. We also find evidence of gene flow between populations of the two dispersal waves prior to the divergence of Native Americans from modern Asian ancestors. Our findings support the hypothesis that present-day Aboriginal Australians descend from the earliest humans to occupy Australia, likely representing one of the oldest continuous populations outside Africa.
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                Author and article information

                Journal
                Proc Natl Acad Sci U S A
                Proc. Natl. Acad. Sci. U.S.A
                pnas
                pnas
                PNAS
                Proceedings of the National Academy of Sciences of the United States of America
                National Academy of Sciences
                0027-8424
                1091-6490
                27 November 2018
                9 November 2018
                : 115
                : 48
                : E11256-E11263
                Affiliations
                [1] aDepartment of Anthropology, Pennsylvania State University, University Park, PA 16802;
                [2] bDepartment of Biology, Pennsylvania State University, University Park, PA 16802;
                [3] cUnit of Human Evolutionary Genetics, Institut Pasteur, 75015 Paris, France;
                [4] dGénomique Évolutive, Modélisation et Santé (UMR 2000), Centre National de la Recherche Scientifique , 75015 Paris, France;
                [5] eCenter of Bioinformatics, Biostatistics and Integrative Biology, Institut Pasteur, 75015 Paris, France;
                [6] fCentre de Recherche Centre Hospitalier Universitaire (CHU) Sainte-Justine, Université de Montréal, Montréal, QC H3T 1C5, Canada;
                [7] gHuck Institutes of the Life Sciences, Pennsylvania State University, University Park, PA 16802
                Author notes
                1To whom correspondence may be addressed. Email: cxb585@ 123456psu.edu or ghp3@ 123456psu.edu .

                Edited by Francisco M. Salzano, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil, and approved October 5, 2018 (received for review July 13, 2018)

                Author contributions: C.M.B., L.Q.-M., L.B.B., and G.H.P. designed research; C.M.B., M.L., G.F.H., E.P., and J.A.C. performed research; C.M.B., M.L., G.F.H., and E.P. analyzed data; and C.M.B. and G.H.P. wrote the paper.

                2L.Q.-M., L.B.B., and G.H.P. contributed equally to this work.

                Author information
                http://orcid.org/0000-0001-8336-8078
                http://orcid.org/0000-0002-9911-4459
                http://orcid.org/0000-0003-2429-6320
                Article
                PMC6275523 PMC6275523 6275523 201812135
                10.1073/pnas.1812135115
                6275523
                30413626
                904224aa-8807-415a-b009-6a19a1327fca
                Copyright @ 2018

                Published under the PNAS license.

                History
                Page count
                Pages: 8
                Funding
                Funded by: HHS | National Institutes of Health (NIH) 100000002
                Award ID: R01- 659 GM115656
                Award Recipient : Christina Bergey Award Recipient : Luis B Barreiro Award Recipient : George H. Perry
                Funded by: HHS | National Institutes of Health (NIH) 100000002
                Award ID: 1 F32 GM125228-01A1
                Award Recipient : Christina Bergey Award Recipient : Luis B Barreiro Award Recipient : George H. Perry
                Funded by: Agence Nationale de la Recherche (ANR) 501100001665
                Award ID: AGRHUM ANR-14-CE02-0003-01
                Award Recipient : Lluis Quintana-Murci
                Funded by: Fondation pour la Recherche Médicale (FRM) 501100002915
                Award ID: FDT20170436932
                Award Recipient : Marie Lopez
                Categories
                PNAS Plus
                Biological Sciences
                Anthropology
                PNAS Plus

                stature,rainforest hunter-gatherers,population genomics,convergent evolution

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