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  A high-coverage Neandertal genome from Chagyrskaya Cave

Mafessoni, F., Grote, S., de Filippo, C., Slon, V., Kolobova, K. A., Viola, B., et al. (2020). A high-coverage Neandertal genome from Chagyrskaya Cave. Proceedings of the National Academy of Sciences, 117(26), 15132-15136. doi:10.1073/pnas.2004944117.

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Mafessoni_High-Coverage_PNAS_2020.pdf (Verlagsversion), 2MB
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2020
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This open access article is distributed under Creative Commons Attribution-NonCommercialNoDerivatives License 4.0 (CC BY-NC-ND)

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Mafessoni, Fabrizio1, Autor                 
Grote, Steffi1, Autor           
de Filippo, Cesare1, Autor           
Slon, Viviane1, Autor                 
Kolobova, Kseniya A., Autor
Viola, Bence, Autor
Markin, Sergey V., Autor
Chintalapati, Manjusha1, Autor                 
Peyrégne, Stéphane1, Autor                 
Skov, Laurits2, Autor           
Skoglund, Pontus, Autor
Krivoshapkin, Andrey I., Autor
Derevianko, Anatoly P., Autor
Meyer, Matthias3, Autor           
Kelso, Janet4, Autor                 
Peter, Benjamin2, Autor                 
Prüfer, Kay1, Autor                 
Pääbo, Svante1, 5, Autor                 
Affiliations:
1Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Max Planck Society, ou_1497672              
2Genetic Diversity through Space and Time, Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Max Planck Society, ou_2559696              
3Advanced DNA Sequencing Techniques, Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Max Planck Society, ou_2074332              
4The Minerva Research Group for Bioinformatics, Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Max Planck Society, ou_2074303              
5Neandertals and more, Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Max Planck Society, Deutscher Platz 6, 04103 Leipzig, DE, ou_2074328              

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 Zusammenfassung: We present the third high-quality genome to be determined from a Neandertal. Patterns of variation in the genome suggest that her ancestors lived in relatively isolated populations of less than 60 individuals. When we analyze this genome together with two previously sequenced Neandertal genomes, we find that genes expressed in the striatum of the brain may have changed especially much, suggesting that the striatum may have evolved unique functions in Neandertals.We sequenced the genome of a Neandertal from Chagyrskaya Cave in the Altai Mountains, Russia, to 27-fold genomic coverage. We show that this Neandertal was a female and that she was more related to Neandertals in western Eurasia [Prü}fer et al., Science 358, 655{–}658 (2017); Hajdinjak et al., Nature 555, 652{–}656 (2018)] than to Neandertals who lived earlier in Denisova Cave [Pr{ü}fer et al., Nature 505, 43{–49 (2014)], which is located about 100 km away. About 12.9% of the Chagyrskaya genome is spanned by homozygous regions that are between 2.5 and 10 centiMorgans (cM) long. This is consistent with the fact that Siberian Neandertals lived in relatively isolated populations of less than 60 individuals. In contrast, a Neandertal from Europe, a Denisovan from the Altai Mountains, and ancient modern humans seem to have lived in populations of larger sizes. The availability of three Neandertal genomes of high quality allows a view of genetic features that were unique to Neandertals and that are likely to have been at high frequency among them. We find that genes highly expressed in the striatum in the basal ganglia of the brain carry more amino-acid-changing substitutions than genes expressed elsewhere in the brain, suggesting that the striatum may have evolved unique functions in Neandertals.

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Sprache(n): eng - English
 Datum: 2020-06-16
 Publikationsstatus: Online veröffentlicht
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 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1073/pnas.2004944117
 Art des Abschluß: -

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Titel: Proceedings of the National Academy of Sciences
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: National Academy of Sciences
Seiten: - Band / Heft: 117 (26) Artikelnummer: - Start- / Endseite: 15132 - 15136 Identifikator: ISSN: 0027-8424