IDEAS home Printed from https://ideas.repec.org/a/plo/pgen00/1010410.html

Bayesian inference of admixture graphs on Native American and Arctic populations

Author

Listed:
  • Svend V Nielsen
  • Andrew H Vaughn
  • Kalle Leppälä
  • Michael J Landis
  • Thomas Mailund
  • Rasmus Nielsen

Abstract

Admixture graphs are mathematical structures that describe the ancestry of populations in terms of divergence and merging (admixing) of ancestral populations as a graph. An admixture graph consists of a graph topology, branch lengths, and admixture proportions. The branch lengths and admixture proportions can be estimated using numerous numerical optimization methods, but inferring the topology involves a combinatorial search for which no polynomial algorithm is known. In this paper, we present a reversible jump MCMC algorithm for sampling high-probability admixture graphs and show that this approach works well both as a heuristic search for a single best-fitting graph and for summarizing shared features extracted from posterior samples of graphs. We apply the method to 11 Native American and Siberian populations and exploit the shared structure of high-probability graphs to characterize the relationship between Saqqaq, Inuit, Koryaks, and Athabascans. Our analyses show that the Saqqaq is not a good proxy for the previously identified gene flow from Arctic people into the Na-Dene speaking Athabascans.Author summary: One way of summarizing historical relationships between genetic samples is by constructing an admixture graph. An admixture graph describes the demographic history of a set of populations as a directed acyclic graph representing population splits and mergers. The greedy search algorithms that are typically used to infer admixture graphs may fail to find the globally optimal graph. We here improve on these approaches by developing a novel MCMC sampling method, AdmixtureBayes, that can sample from the posterior distribution of admixture graphs. This enables an effective search of the entire state space as well as the ability to report a level of confidence in the sampled graphs. We apply AdmixtureBayes to a set of Native American and Arctic genomes to reconstruct the demographic history of these populations and report posterior probabilities of specific admixture events. While some previous studies have identified the ancient Saqqaq culture as a source of introgression into Athabascans, we instead find that it is the Siberian Koryak population, not the Saqqaq, that serves as the best proxy for gene flow into Athabascans.

Suggested Citation

  • Svend V Nielsen & Andrew H Vaughn & Kalle Leppälä & Michael J Landis & Thomas Mailund & Rasmus Nielsen, 2023. "Bayesian inference of admixture graphs on Native American and Arctic populations," PLOS Genetics, Public Library of Science, vol. 19(2), pages 1-22, February.
  • Handle: RePEc:plo:pgen00:1010410
    DOI: 10.1371/journal.pgen.1010410
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosgenetics/article?id=10.1371/journal.pgen.1010410
    Download Restriction: no

    File URL: https://journals.plos.org/plosgenetics/article/file?id=10.1371/journal.pgen.1010410&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pgen.1010410?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Pavel Flegontov & N. Ezgi Altınışık & Piya Changmai & Nadin Rohland & Swapan Mallick & Nicole Adamski & Deborah A. Bolnick & Nasreen Broomandkhoshbacht & Francesca Candilio & Brendan J. Culleton & Olg, 2019. "Palaeo-Eskimo genetic ancestry and the peopling of Chukotka and North America," Nature, Nature, vol. 570(7760), pages 236-240, June.
    2. Joseph K Pickrell & Jonathan K Pritchard, 2012. "Inference of Population Splits and Mixtures from Genome-Wide Allele Frequency Data," PLOS Genetics, Public Library of Science, vol. 8(11), pages 1-17, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jaime Lira Garrido & Gaétan Tressières & Lorelei Chauvey & Stéphanie Schiavinato & Laure Calvière-Tonasso & Andaine Seguin-Orlando & John Southon & Beth Shapiro & Clément Bataille & Julie Birgel & Ste, 2025. "The genomic history of Iberian horses since the last Ice Age," Nature Communications, Nature, vol. 16(1), pages 1-14, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Heng Du & Lei Zhou & Zhen Liu & Yue Zhuo & Meilin Zhang & Qianqian Huang & Shiyu Lu & Kai Xing & Li Jiang & Jian-Feng Liu, 2024. "The 1000 Chinese Indigenous Pig Genomes Project provides insights into the genomic architecture of pigs," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
    2. Thomas L. Schmidt & Nancy M. Endersby-Harshman & Anthony R. J. Rooyen & Michelle Katusele & Rebecca Vinit & Leanne J. Robinson & Moses Laman & Stephan Karl & Ary A. Hoffmann, 2024. "Global, asynchronous partial sweeps at multiple insecticide resistance genes in Aedes mosquitoes," Nature Communications, Nature, vol. 15(1), pages 1-19, December.
    3. Marina Muzzio & Josefina M B Motti & Paula B Paz Sepulveda & Muh-ching Yee & Thomas Cooke & María R Santos & Virginia Ramallo & Emma L Alfaro & Jose E Dipierri & Graciela Bailliet & Claudio M Bravi & , 2018. "Population structure in Argentina," PLOS ONE, Public Library of Science, vol. 13(5), pages 1-13, May.
    4. Baharian, Soheil & Gravel, Simon, 2018. "On the decidability of population size histories from finite allele frequency spectra," Theoretical Population Biology, Elsevier, vol. 120(C), pages 42-51.
    5. Patar Sinaga & Ewelina Klichowska & Arkadiusz Nowak & Marcin Nobis, 2024. "Hybridization and introgression events in cooccurring populations of closely related grasses (Poaceae: Stipa) in high mountain steppes of Central Asia," PLOS ONE, Public Library of Science, vol. 19(2), pages 1-25, February.
    6. Estavoyer, Maxime & François, Olivier, 2022. "Theoretical analysis of principal components in an umbrella model of intraspecific evolution," Theoretical Population Biology, Elsevier, vol. 148(C), pages 11-21.
    7. Luciana Gaccione & Laura Toppino & Marie Bolger & Maximilian Schmidt & Maria Rosaria Tassone & Maria Sulli & Emily Idahl & David Alonso & Giuseppe Aprea & Paola Ferrante & Véronique Lefebvre & Hatice , 2025. "Graph-based pangenomes and pan-phenome provide a cornerstone for eggplant biology and breeding," Nature Communications, Nature, vol. 16(1), pages 1-20, December.
    8. Jun Gojobori & Nami Arakawa & Xiayire Xiaokaiti & Yuki Matsumoto & Shuichi Matsumura & Hitomi Hongo & Naotaka Ishiguro & Yohey Terai, 2024. "Japanese wolves are most closely related to dogs and share DNA with East Eurasian dogs," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    9. Yvonne Willi & Kay Lucek & Olivier Bachmann & Nora Walden, 2022. "Recent speciation associated with range expansion and a shift to self-fertilization in North American Arabidopsis," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    10. Alexandros G. Sotiropoulos & Epifanía Arango-Isaza & Tomohiro Ban & Chiara Barbieri & Salim Bourras & Christina Cowger & Paweł C. Czembor & Roi Ben-David & Amos Dinoor & Simon R. Ellwood & Johannes Gr, 2022. "Global genomic analyses of wheat powdery mildew reveal association of pathogen spread with historical human migration and trade," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    11. Mateja Janeš & Minja Zorc & Maja Ferenčaković & Ino Curik & Peter Dovč & Vlatka Cubric-Curik, 2021. "Genomic Characterization of the Three Balkan Livestock Guardian Dogs," Sustainability, MDPI, vol. 13(4), pages 1-16, February.
    12. Ningbo Chen & Xiaoting Xia & Quratulain Hanif & Fengwei Zhang & Ruihua Dang & Bizhi Huang & Yang Lyu & Xiaoyu Luo & Hucai Zhang & Huixuan Yan & Shikang Wang & Fuwen Wang & Jialei Chen & Xiwen Guan & Y, 2023. "Global genetic diversity, introgression, and evolutionary adaptation of indicine cattle revealed by whole genome sequencing," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    13. Pei-Kuan Cong & Wei-Yang Bai & Jin-Chen Li & Meng-Yuan Yang & Saber Khederzadeh & Si-Rui Gai & Nan Li & Yu-Heng Liu & Shi-Hui Yu & Wei-Wei Zhao & Jun-Quan Liu & Yi Sun & Xiao-Wei Zhu & Pian-Pian Zhao , 2022. "Genomic analyses of 10,376 individuals in the Westlake BioBank for Chinese (WBBC) pilot project," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    14. Rozaimi Mohamad Razali & Juan Rodriguez-Flores & Mohammadmersad Ghorbani & Haroon Naeem & Waleed Aamer & Elbay Aliyev & Ali Jubran & Andrew G. Clark & Khalid A. Fakhro & Younes Mokrab, 2021. "Thousands of Qatari genomes inform human migration history and improve imputation of Arab haplotypes," Nature Communications, Nature, vol. 12(1), pages 1-16, December.
    15. Felix Riede & Christian Hoggard & Stephen Shennan, 2019. "Reconciling material cultures in archaeology with genetic data requires robust cultural evolutionary taxonomies," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 5(1), pages 1-9, December.
    16. David B. Stern & Nathan W. Anderson & Juanita A. Diaz & Carol Eunmi Lee, 2022. "Genome-wide signatures of synergistic epistasis during parallel adaptation in a Baltic Sea copepod," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    17. Soraggi, Samuele & Wiuf, Carsten, 2019. "General theory for stochastic admixture graphs and F-statistics," Theoretical Population Biology, Elsevier, vol. 125(C), pages 56-66.
    18. Crystal M. Tomlin & Sitaram Rajaraman & Jeanne Theresa Sebesta & Anne-Cathrine Scheen & Mika Bendiksby & Yee Wen Low & Jarkko Salojärvi & Todd P. Michael & Victor A. Albert & Charlotte Lindqvist, 2024. "Allopolyploid origin and diversification of the Hawaiian endemic mints," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    19. Juhyeon Lee & Ursula Brosseder & Hyoungmin Moon & Raphaela Stahl & Lena Semerau & Jamiyan-Ombo Gantulga & Jérôme Magail & Jan Bemmann & Chimiddorj Yeruul-Erdene & Christina Warinner & Choongwon Jeong, 2025. "Slab Grave expansion disrupted long co-existence of distinct Bronze Age herders in central Mongolia," Nature Communications, Nature, vol. 16(1), pages 1-15, December.
    20. Alejandro Ochoa & John D Storey, 2021. "Estimating FST and kinship for arbitrary population structures," PLOS Genetics, Public Library of Science, vol. 17(1), pages 1-36, January.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pgen00:1010410. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosgenetics (email available below). General contact details of provider: https://journals.plos.org/plosgenetics/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.