Proceedings of the National Academy of SciencesEvolutionary BiologyPeer-reviewed journal article
The genetic origins and impacts of historical Papuan migrations into Wallacea
Gludhug A. PurnomoiD, Shimona KealyiD, Sue O’ConnoriD, Antoinette SchapperiD, Ben ShawiD, Bastien LlamasiD, João C. TeixeiraiD, Herawati SudoyoiD, Raymond TobleriD
Abstract
The tropical archipelago of Wallacea was first settled by anatomically modern humans (AMH) by 50 thousand years ago (kya), with descendent populations thought to have remained genetically isolated prior to the arrival of Austronesian seafarers around 3.5 kya. Modern Wallaceans exhibit a longitudinal countergradient of Papuan- and Asian-related ancestries widely considered as evidence for mixing between local populations and Austronesian seafarers, though converging multidisciplinary evidence suggests that the Papuan-related component instead comes primarily from back-migrations from New Guinea. Here, we reconstruct Wallacean population genetic history using more than 250 newly reported genomes from 12 Wallacean and three West Papuan populations and confirm that the vast majority of Papuan-related ancestry in Wallacea ([~]75-100%) comes from prehistoric migrations originating in New Guinea and only a minor fraction is attributable to the founding AMH settlers. Mixing between Papuan and local Wallacean lineages appear to have been confined to the western and central parts of the archipelago and likely occurred contemporaneously with the widespread introduction of genes from Austronesian seafarers--which now comprise between [~]40-85% of modern Wallacean ancestry--though dating historical admixture events remains challenging due to mixing continuing into the Historical Period. In conjunction with archaeological and linguistic records, our findings point to a dynamic Wallacean population history that was profoundly reshaped by the spread of Papuan genes, languages, and culture in the past 3,500 years.
- organism: human
- assay: whole-genome sequencing
- research focus: chromatin & epigenetic regulation
- approach: statistical model
- Citations
- 48
- FWCI
- 10.04
- Field percentile
- top 1%
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