Resolving out of Africa event for Papua New Guinean population using neural network
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 st...
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| Format: | Article |
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Nature Portfolio
2025-07-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-025-61661-w |
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| author | Mayukh Mondal Mathilde André Ajai K. Pathak Nicolas Brucato François-Xavier Ricaut Mait Metspalu Anders Eriksson |
| author_facet | Mayukh Mondal Mathilde André Ajai K. Pathak Nicolas Brucato François-Xavier Ricaut Mait Metspalu Anders Eriksson |
| author_sort | Mayukh Mondal |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-b15d4242f2f145998718074cfd178cc5 |
| institution | Kabale University |
| issn | 2041-1723 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj-art-b15d4242f2f145998718074cfd178cc52025-08-20T03:43:16ZengNature PortfolioNature Communications2041-17232025-07-0116111110.1038/s41467-025-61661-wResolving out of Africa event for Papua New Guinean population using neural networkMayukh Mondal0Mathilde André1Ajai K. Pathak2Nicolas Brucato3François-Xavier Ricaut4Mait Metspalu5Anders Eriksson6Institute of Clinical Molecular Biology, Christian-Albrechts-Universität zu KielCentre for Genomics, Evolution & Medicine, Institute of Genomics, University of TartuEstonian Biocentre, Institute of Genomics, University of TartuCentre de Recherche sur la Biodiversité et l’Environnement (CRBE), Université de Toulouse, CNRS, IRD, Toulouse INP, Université Toulouse 3—Paul Sabatier (UT3)Centre de Recherche sur la Biodiversité et l’Environnement (CRBE), Université de Toulouse, CNRS, IRD, Toulouse INP, Université Toulouse 3—Paul Sabatier (UT3)Estonian Biocentre, Institute of Genomics, University of TartuCentre for Genomics, Evolution & Medicine, Institute of Genomics, University of TartuAbstract 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.https://doi.org/10.1038/s41467-025-61661-w |
| spellingShingle | Mayukh Mondal Mathilde André Ajai K. Pathak Nicolas Brucato François-Xavier Ricaut Mait Metspalu Anders Eriksson Resolving out of Africa event for Papua New Guinean population using neural network Nature Communications |
| title | Resolving out of Africa event for Papua New Guinean population using neural network |
| title_full | Resolving out of Africa event for Papua New Guinean population using neural network |
| title_fullStr | Resolving out of Africa event for Papua New Guinean population using neural network |
| title_full_unstemmed | Resolving out of Africa event for Papua New Guinean population using neural network |
| title_short | Resolving out of Africa event for Papua New Guinean population using neural network |
| title_sort | resolving out of africa event for papua new guinean population using neural network |
| url | https://doi.org/10.1038/s41467-025-61661-w |
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