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      Neanderthal-Derived Genetic Variation Shapes Modern Human Cranium and Brain

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          Abstract

          Before their disappearance from the fossil record approximately 40,000 years ago, Neanderthals, the ancient hominin lineage most closely related to modern humans, interbred with ancestors of present-day humans. The legacy of this gene flow persists through Neanderthal-derived variants that survive in modern human DNA; however, the neural implications of this inheritance are uncertain. Here, using MRI in a large cohort of healthy individuals of European-descent, we show that the amount of Neanderthal-originating polymorphism carried in living humans is related to cranial and brain morphology. First, as a validation of our approach, we demonstrate that a greater load of Neanderthal-derived genetic variants (higher “NeanderScore”) is associated with skull shapes resembling those of known Neanderthal cranial remains, particularly in occipital and parietal bones. Next, we demonstrate convergent NeanderScore-related findings in the brain (measured by gray- and white-matter volume, sulcal depth, and gyrification index) that localize to the visual cortex and intraparietal sulcus. This work provides insights into ancestral human neurobiology and suggests that Neanderthal-derived genetic variation is neurologically functional in the contemporary population.

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          The complete genome sequence of a Neandertal from the Altai Mountains

          We present a high-quality genome sequence of a Neandertal woman from Siberia. We show that her parents were related at the level of half siblings and that mating among close relatives was common among her recent ancestors. We also sequenced the genome of a Neandertal from the Caucasus to low coverage. An analysis of the relationships and population history of available archaic genomes and 25 present-day human genomes shows that several gene flow events occurred among Neandertals, Denisovans and early modern humans, possibly including gene flow into Denisovans from an unknown archaic group. Thus, interbreeding, albeit of low magnitude, occurred among many hominin groups in the Late Pleistocene. In addition, the high quality Neandertal genome allows us to establish a definitive list of substitutions that became fixed in modern humans after their separation from the ancestors of Neandertals and Denisovans.
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            A high-coverage genome sequence from an archaic Denisovan individual.

            We present a DNA library preparation method that has allowed us to reconstruct a high-coverage (30×) genome sequence of a Denisovan, an extinct relative of Neandertals. The quality of this genome allows a direct estimation of Denisovan heterozygosity indicating that genetic diversity in these archaic hominins was extremely low. It also allows tentative dating of the specimen on the basis of "missing evolution" in its genome, detailed measurements of Denisovan and Neandertal admixture into present-day human populations, and the generation of a near-complete catalog of genetic changes that swept to high frequency in modern humans since their divergence from Denisovans.
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              The landscape of Neandertal ancestry in present-day humans

              Analyses of Neandertal genomes have revealed that Neandertals have contributed genetic variants to modern humans 1–2 . The antiquity of Neandertal gene flow into modern humans means that regions that derive from Neandertals in any one human today are usually less than a hundred kilobases in size. However, Neandertal haplotypes are also distinctive enough that several studies have been able to detect Neandertal ancestry at specific loci 1,3–8 . Here, we have systematically inferred Neandertal haplotypes in the genomes of 1,004 present-day humans 12 . Regions that harbor a high frequency of Neandertal alleles in modern humans are enriched for genes affecting keratin filaments suggesting that Neandertal alleles may have helped modern humans adapt to non-African environments. Neandertal alleles also continue to shape human biology, as we identify multiple Neandertal-derived alleles that confer risk for disease. We also identify regions of millions of base pairs that are nearly devoid of Neandertal ancestry and enriched in genes, implying selection to remove genetic material derived from Neandertals. Neandertal ancestry is significantly reduced in genes specifically expressed in testis, and there is an approximately 5-fold reduction of Neandertal ancestry on chromosome X, which is known to harbor a disproportionate fraction of male hybrid sterility genes 20–22 . These results suggest that part of the reduction in Neandertal ancestry near genes is due to Neandertal alleles that reduced fertility in males when moved to a modern human genetic background.
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                Author and article information

                Contributors
                gregorymd@mail.nih.gov
                bermank@mail.nih.gov
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                24 July 2017
                24 July 2017
                2017
                : 7
                : 6308
                Affiliations
                [1 ]ISNI 0000 0004 0464 0574, GRID grid.416868.5, , Section on Integrative Neuroimaging, Clinical and Translational Neuroscience Branch, National Institute of Mental Health Intramural Research Program, National Institutes of Health, ; Bethesda, MD USA
                [2 ]ISNI 0000 0004 0464 0574, GRID grid.416868.5, , Psychosis and Cognitive Studies Section, Clinical and Translational Neuroscience Branch, National Institute of Mental Health Intramural Research Program, National Institutes of Health, ; Bethesda, MD USA
                [3 ]GRID grid.429552.d, , Lieber Institute for Brain Development, Johns Hopkins Medical Campus, ; Baltimore, MD USA
                [4 ]ISNI 0000 0001 2171 9311, GRID grid.21107.35, Department of Neurology, , Johns Hopkins University School of Medicine, ; Baltimore, MD USA
                [5 ]ISNI 0000 0001 2171 9311, GRID grid.21107.35, , Departments of Psychiatry, Neuroscience, and the McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins School of Medicine, ; Baltimore, MD USA
                [6 ]ISNI 0000 0004 0464 0574, GRID grid.416868.5, , Scientific and Statistical Computing Core, National Institute of Mental Health Intramural Research Program, National Institutes of Health, ; Bethesda, MD USA
                Article
                6587
                10.1038/s41598-017-06587-0
                5524936
                28740249
                884bc22e-c18b-4833-bffb-4a2aca5dbb5d
                © The Author(s) 2017

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 25 January 2017
                : 24 May 2017
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