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Novel alleles gained during the Beringian isolation period

Niedbalski, Sara D., Long, Jeffrey C.·2022·Scientific Reports

Abstract

During the Last Glacial Maximum, a small band of Siberians entered the Beringian corridor, where they persisted, isolated from gene flow, for several thousand years before expansion into the Americas. The ecological features of the Beringian environment, coupled with an extended period of isolation at small population size, would have provided evolutionary opportunity for novel genetic variation to arise as both rare standing variants and new mutations were driven to high frequency through both neutral and directed processes. Here we perform a full genome investigation of Native American populations in the Thousand Genomes Project Phase 3 to identify unique high frequency alleles that can be dated to an origin in Beringia. Our analyses demonstrate that descendant populations of Native Americans harbor 20,424 such variants, which is on a scale comparable only to Africa and the Out of Africa bottleneck. This is consistent with simulations of a serial founder effects model. Tests for selection reveal that some of these Beringian variants were likely driven to high frequency by adaptive processes, and bioinformatic analyses suggest possible phenotypic pathways that were under selection during the Beringian Isolation period. Specifically, pathways related to cardiac processes and melanocyte function appear to be enriched for selected Beringian variants.

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  • The ANA population on the BLB was recently derived from the Arctic, most likely the GAP/arctic Beringia (not the NE Asian maritime zone).

    “We also conclude—based on the genetic ‘arctic signal’ found throughout arctic and non-arctic First Peoples—that the ANA population on the BLB was recently derived from the Arctic, most likely the GAP/arctic Beringia (not the NE Asian maritime zone) [73,86,95].”

    From Beringia and the peopling of the Western Hemisphere (2023) · cites this paper as [86]

  • Niedbalski & Long attributed more than 20 000 high frequency alleles among living Native American populations to high latitude adaptation, including genes related to diet, cardiac processes and production of melanin in skin, hair and eyes.

    “In a recent paper, Niedbalski & Long attributed more than 20 000 high frequency alleles among living Native American populations to high latitude adaptation, including genes related to diet, cardiac processes and production of melanin in skin, hair and eyes [86].”

    From Beringia and the peopling of the Western Hemisphere (2023) · cites this paper as [86]

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Research works printed but not linked: 47

  1. Mulligan, C. J., Hunley, K., Cole, S. & Long, J. C. Population genetics, history, and health patterns in Native Americans. Annu. Rev. Genomics Hum. Genet. 5, 295–315. https://doi.org/10.1146/annurev.genom.5.061903.175920 (2004). · DOI
  2. Kitchen, A., Miyamoto, M. M. & Mulligan, C. J. A three-stage colonization model for the peopling of the Americas. PLoS ONE 3, e1596. https://doi.org/10.1371/journal.pone.0001596 (2008). · DOI · Paper page
  3. Reich, D. et al. Reconstructing Native American population history. Nature 488, 370–374. https://doi.org/10.1038/nature11258 (2012). · DOI · Paper page
  4. Tamm, E. et al. Beringian standstill and spread of Native American founders. PLoS ONE 2, e829. https://doi.org/10.1371/journal.pone.0000829 (2007). · DOI · Paper page
  5. Pitulko, V. V. The Yana RHS site: humans in the Arctic before the last glacial maximum. Science 303, 52–56. https://doi.org/10.1126/science.1085219 (2004). · DOI · Paper page
  6. Meiri, M. et al. Faunal record identifies Bering isthmus conditions as constraint to end-Pleistocene migration to the New World. Proc. R. Soc. B Biol. Sci. 281, 20132167. https://doi.org/10.1098/rspb.2013.2167 (2014). · DOI
  7. Grant, W. B. Ecological studies of the UVB-vitamin D-cancer hypothesis. Anticancer Res.32, 223–236 (2012).
  8. Fox-Dobbs, K., Leonard, J. A. & Koch, P. L. Pleistocene megafauna from eastern Beringia: Paleoecological and paleoenvironmental interpretations of stable carbon and nitrogen isotope and radiocarbon records. Palaeogeogr. Palaeoclimatol. Palaeoecol. 261, 30–46. https://doi.org/10.1016/j.palaeo.2007.12.011 (2008). · DOI
  9. Hoffecker, J. F., Elias, S. A., O’Rourke, D. H., Scott, G. R. & Bigelow, N. H. Beringia and the global dispersal of modern humans: Beringia and the Global Dispersal of Modern Humans. Evolut. Anthropol. Issues News Rev. 25, 64–78. https://doi.org/10.1002/evan.21478 (2016). · DOI · Paper page
  10. Mulligan, C. J., Kitchen, A. & Miyamoto, M. M. Updated three-stage model for the peopling of the Americas. PLoS ONE 3, e3199. https://doi.org/10.1371/journal.pone.0003199 (2008). · DOI · Paper page
  11. Nielsen, R. et al. Tracing the peopling of the world through genomics. Nature 541, 302–310. https://doi.org/10.1038/nature21347 (2017). · DOI · Paper page
  12. Choin, J. et al. Genomic insights into population history and biological adaptation in Oceania. Nature 592, 583–589. https://doi.org/10.1038/s41586-021-03236-5 (2021). · DOI · Paper page
  13. Bergström, A., Stringer, C., Hajdinjak, M., Scerri, E. M. L. & Skoglund, P. Origins of modern human ancestry. Nature 590, 229–237. https://doi.org/10.1038/s41586-021-03244-5 (2021). · DOI
  14. Sikora, M. et al. The population history of northeastern Siberia since the Pleistocene. Nature 570, 182–188. https://doi.org/10.1038/s41586-019-1279-z (2019). · DOI · Paper page
  15. Hoffecker, J. F., Powers, W. R. & Goebel, T. The colonization of Beringia and the peopling of the New World. Science 259, 46–53. https://doi.org/10.1126/science.259.5091.46 (1993). · DOI
  16. Hoffecker, J. F., Elias, S. A. & O’Rourke, D. H. Out of Beringia?. Science 343, 979–980. https://doi.org/10.1126/science.1250768 (2014). · DOI
  17. Santos, F. R. et al. The central Siberian origin for native American Y chromosomes. Am. J. Human Genet. 64, 619–628. https://doi.org/10.1086/302242 (1999). · DOI
  18. Wilson, J. F. et al. Population genetic structure of variable drug response. Nat. Genet. 29, 265–269 (2001). · DOI
  19. Schurr, T. G. The peopling of the new world: Perspectives from molecular anthropology. Annu. Rev. Anthropol. 33, 551–583 (2004). · DOI
  20. Bonatto, S. L. & Salzano, F. M. A single and early migration for the peopling of the Americas supported by mitochondrial DNA sequence data. Proc. Natl. Acad. Sci. 94, 1866–1871. https://doi.org/10.1073/pnas.94.5.1866 (1997). · DOI
  21. Silva, W. A. et al. Mitochondrial genome diversity of native Americans supports a single early entry of founder populations into America. Am. J. Human Genet. 71, 187–192. https://doi.org/10.1086/341358 (2002). · DOI
  22. Nei, Masatoshi, Maruyama, Takeo & Chakraborty, Ranajit. The Bottleneck effect and genetic variability in populations. Evolution 29, 1–10 (1975). · DOI
  23. Kimura, M. Random genetic drift in multi-allelic locus. Evolution 9, 419–435. https://doi.org/10.1111/j.1558-5646.1955.tb01551.x (1955). · DOI
  24. Ramachandran, S. et al. Support from the relationship of genetic and geographic distance in human populations for a serial founder effect originating in Africa. Proc. Natl. Acad. Sci. U.S.A. 102, 15942–15947 (2005). · DOI · Paper page
  25. Lohmueller, K. E. et al. Proportionally more deleterious genetic variation in European than in African populations. Nature 451, 994–997. https://doi.org/10.1038/nature06611 (2008). · DOI
  26. Lohmueller, K. E. The distribution of deleterious genetic variation in human populations. Curr. Opin. Genet. Dev. 29, 139–146. https://doi.org/10.1016/j.gde.2014.09.005 (2014). · DOI · Paper page
  27. Schroeder, K. et al. A private allele ubiquitous in the Americas. Biol. Let. 3, 218–223. https://doi.org/10.1098/rsbl.2006.0609 (2007). · DOI
  28. Amorim, G. C. E. et al. Genetic signature of natural selection in first Americans. Proc. Natl. Acad. Sci. 114, 2195–2199. https://doi.org/10.1073/pnas.1620541114 (2017). · DOI
  29. Hlusko, L. J. et al. Environmental selection during the last ice age on the mother-to-infant transmission of vitamin D and fatty acids through breast milk. Proc. Natl. Acad. Sci. 115, E4426–E4432. https://doi.org/10.1073/pnas.1711788115 (2018). · DOI · Paper page
  30. Gravel, S. et al. Demographic history and rare allele sharing among human populations. Proc. Natl. Acad. Sci. 108, 11983–11988. https://doi.org/10.1073/pnas.1019276108 (2011). · DOI
  31. Li, J. Z. Worldwide human relationships inferred from genome-wide patterns of variation. Science 319, 1100–1104. https://doi.org/10.1126/science.1153717 (2008). · DOI
  32. Thomas, P. D. et al. PANTHER: a library of protein families and subfamilies indexed by function. Genome Res. 13, 2129–2141. https://doi.org/10.1101/gr.772403 (2003). · DOI
  33. Stelzer, G. et al. The GeneCards suite: from gene data mining to disease genome sequence analyses. Curr. Protoc. Bioinformatics 54, 1.30.1-1.30.33. https://doi.org/10.1002/cpbi.5 (2016). · DOI · Paper page
  34. Pemberton, T. J., DeGiorgio, M. & Rosenberg, N. A. Population structure in a comprehensive genomic data set on human microsatellite variation. G3: Genes|Genomes|Genetics 3, 891–907. https://doi.org/10.1534/g3.113.005728 (2013). · DOI
  35. Nei, M. Molecular evolutionary genetics (Columbia University Press, New York, 1987). · DOI
  36. Cavalli-Sforza, L. L. & Piazza, A. Analysis of evolution: Evolutionary rates, independence and treeness. Theor. Popul. Biol. 8, 127–165. https://doi.org/10.1016/0040-5809(75)90029-5 (1975). · DOI
  37. Long, J. C. & Kittles, R. A. Human genetic diversity and the nonexistence of biological races. Hum. Biol. 75, 449–471. https://doi.org/10.1353/hub.2003.0058 (2003). · DOI
  38. Urbanek, M., Goldman, D. & Long, J. C. The apportionment of dinucleotide repeat diversity in Native Americans and Europeans: A new approach to measuring gene identity reveals asymmetric patterns of divergence. Mol. Biol. Evol. 13, 943–953. https://doi.org/10.1093/oxfordjournals.molbev.a025662 (1996). · DOI
  39. Graf, K. E. & Buvit, I. Human dispersal from Siberia to Beringia: assessing a Beringian Standstill in light of the archaeological evidence. Curr. Anthropol. 58, S583–S603. https://doi.org/10.1086/693388 (2017). · DOI
  40. Hudson, R. R. Gene genealogies and the coalescent process. Oxford Surv. Evolut. Biol. 7, 1–44 (1991).
  41. Wang, K., Li, M. & Hakonarson, H. ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data. Nucleic Acids Res. 38, e164–e164. https://doi.org/10.1093/nar/gkq603 (2010). · DOI
  42. Kanehisa, M. Toward understanding the origin and evolution of cellular organisms. Protein Sci. Publ. Protein Soc. 28, 1947–1951. https://doi.org/10.1002/pro.3715 (2019). · DOI · Paper page
  43. Chen, E. Y. et al. Enrichr: interactive and collaborative HTML5 gene list enrichment analysis tool. BMC Bioinformatics 14, 128. https://doi.org/10.1186/1471-2105-14-128 (2013). · DOI · Paper page
  44. Li, W.-H. Unbiased estimation of the rates of synonymous and nonsynonymous substitution. J. Mol. Evol. 36, 96–99. https://doi.org/10.1007/BF02407308 (1993). · DOI
  45. Charif, D. & Lobry, J. R. SeqinR 1.0-2: A contributed package to the r project for statistical computing devoted to biological sequences retrieval and analysis. In Structural approaches to sequence evolution: molecules, networks, populations (eds Bastolla, U. et al.) 207–232 (Springer Berlin Heidelberg, Berlin, Heidelberg, 2007). https://doi.org/10.1007/978-3-540-35306-50. · DOI
  46. Voight, B. F., Kudaravalli, S., Wen, X. & Pritchard, J. K. A map of recent positive selection in the human genome. PLoS Biol. 4, e72. https://doi.org/10.1371/journal.pbio.0040072 (2006). · DOI
  47. Kanehisa, M. & Goto, S. KEGG: Kyoto encyclopedia of genes and genomes. Nucleic Acids Res. 28, 27–30. https://doi.org/10.1093/nar/28.1.27 (2000). · DOI · Paper page

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Metadata

Authors
Niedbalski, S. D., & Long, J. C.
Venue
Scientific Reports
Published
2022-03-11
Volume
12
Issue
1
ISSN
2045-2322
Cited by
13
References
7
Language
en
Funders
National Institutes for Water Resources (NIH 1T32EB009414-01)

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