Resolving out of Africa event for Papua New Guinean population using neural network.

Journal: Nature communications
Published Date:

Abstract

The demographic history of the Papua New Guinean (PNG) population is a subject of interest due to its early settlement in New Guinea, its relative isolation and substantial Denisovan ancestry. Previous research suggested an admixture with an early diverged out of African population. This study re-examines the PNG population using newly published samples. Our findings demonstrate that the observed shifts in Relative Cross Coalescent Rate (RCCR) curves are driven by strong bottleneck and slower population growth rate of the PNG population, rather than the contributions from an earlier out of Africa population. Although a small contribution from the early out of Africa population cannot be ruled out, it is no longer needed to explain the observed results. Our analysis positions them as a sister group to other East Asian populations. This study provides insights on the PNG population and highlights the impact of population-specific demography on interpreting RCCR curves.

Authors

  • Mayukh Mondal
    Institute of Genomics, University of Tartu, Tartu 51010, Estonia. Electronic address: mondal.mayukh@gmail.com.
  • Mathilde André
    Centre for Genomics, Evolution & Medicine, Institute of Genomics, University of Tartu, Tartu, Tartumaa, Estonia.
  • Ajai K Pathak
    Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu, Tartumaa, Estonia.
  • Nicolas Brucato
    Centre de Recherche sur la Biodiversité et l'Environnement (CRBE), Université de Toulouse, CNRS, IRD, Toulouse INP, Université Toulouse 3-Paul Sabatier (UT3), Toulouse, France.
  • François-Xavier Ricaut
    Centre de Recherche sur la Biodiversité et l'Environnement (CRBE), Université de Toulouse, CNRS, IRD, Toulouse INP, Université Toulouse 3-Paul Sabatier (UT3), Toulouse, France.
  • Mait Metspalu
    Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu, Tartumaa, Estonia.
  • Anders Eriksson
    Centre for Genomics, Evolution & Medicine, Institute of Genomics, University of Tartu, Tartu, Tartumaa, Estonia.