Evidence map›Paper›PMID 40494279›Full record

ArticleCurrent biology : CB2025

Population histories of the Indigenous Adivasi and Sinhalese from Sri Lanka using whole genomes.

Jose A Urban Aragon, Esha Bandyopadhyay, Amali S Fernando, Constanza de la Fuente Castro, Anjana H J Welikala, Arjun Biddanda, David Witonsky, Nathan Sander, Joanne T Kotelawala, Nagarjuna Pasupuleti and 8 more

Abstract read
In one paragraph

Article in Current biology : CB, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Jose A Urban AragonDepartment of Human Genetics, University of Chicago, Chicago, IL 60637, USA.
Esha BandyopadhyayDepartment of Human Genetics, University of Chicago, Chicago, IL 60637, USA.
Amali S FernandoInstitute of Biochemistry, Molecular Biology and Biotechnology, University of Colombo, Colombo 00300, Sri Lanka.
Constanza de la Fuente CastroDepartment of Human Genetics, University of Chicago, Chicago, IL 60637, USA.
Anjana H J WelikalaInstitute of Biochemistry, Molecular Biology and Biotechnology, University of Colombo, Colombo 00300, Sri Lanka.
Arjun BiddandaDepartment of Biology, Johns Hopkins University, Baltimore, MD 20210, USA.
David WitonskyDepartment of Human Genetics, University of Chicago, Chicago, IL 60637, USA.
Nathan SanderDepartment of Human Genetics, University of Chicago, Chicago, IL 60637, USA.
Joanne T KotelawalaInstitute of Biochemistry, Molecular Biology and Biotechnology, University of Colombo, Colombo 00300, Sri Lanka.
Nagarjuna PasupuletiBirbal Sahni Institute of Palaeosciences, Lucknow, Uttar Pradesh 226007, India.
Matthias SteinrückenDepartment of Human Genetics, University of Chicago, Chicago, IL 60637, USA; Department of Ecology and Evolution, University of Chicago, Chicago, IL 60637, USA.
Gamini AdikariPostgraduate Institute of Archaeology, University of Kelaniya, Colombo 00700, Sri Lanka.
Kamani TennekoonInstitute of Biochemistry, Molecular Biology and Biotechnology, University of Colombo, Colombo 00300, Sri Lanka.
Aaron P RagsdaleDepartment of Integrative Biology, University of Wisconsin, Madison, WI 53706, USA.
Jonathan TerhorstDepartment of Statistics, University of Michigan, Ann Arbor, MI 48109, USA.
Ruwandi RanasingheInstitute of Biochemistry, Molecular Biology and Biotechnology, University of Colombo, Colombo 00300, Sri Lanka. Electronic address: ruwa@ibmbb.cmb.ac.lk.
Niraj RaiBirbal Sahni Institute of Palaeosciences, Lucknow, Uttar Pradesh 226007, India. Electronic address: nirajrai@bsip.res.in.
Maanasa RaghavanDepartment of Human Genetics, University of Chicago, Chicago, IL 60637, USA; Committees on Genetics, Genomics and Systems Biology and Southern Asian Studies, University of Chicago, Chicago, IL 60637, USA. Electronic address: mraghavan@uchicago.edu.

Funding

Reconstructing the evolutionary history of humans and human-associated microbes in South Asia using an integrated genomics approachR35GM143094 · NIGMS · UNIVERSITY OF CHICAGO · PI RAGHAVAN, MAANASA · 2021 to 2025
$2.0M
Population genetic methods to detect population structure and adaptation using modern and ancient genomic datasetsR01GM146051 · NIGMS · UNIVERSITY OF CHICAGO · PI Matthias Steinruecken · 2022 to 2026
$1.7M
Large-scale phylodynamics under non-neutral and non-treelike models of evolutionR35GM151145 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jonathan G Terhorst · 2023 to 2026
$1.5M
NIGMS NIH HHS R01 GM146051NIGMS NIH HHS R35 GM143094NIGMS NIH HHS R35 GM151145
6 · The paper itself

Abstract

Sri Lanka has played a key role in the peopling of South Asia, with archaeological evidence for human presence on the island dating back to ⁓40,000 years ago. Present-day Indigenous peoples of the island, the Adivasi, are proposed to have descended from early inhabitants of the region, while urban populations like the Sinhalese, the major ethnic group on the island, migrated from India in historical times. Using whole genomes from 19 Adivasi individuals belonging to two clans and from 35 Sinhalese, we find that the Adivasi and Sinhalese share high genetic similarities with each other and with other Sri Lankan and Indian populations, especially those with greater genetic affinity to Ancestral South Indians (ASI). Admixture modeling of the Sri Lankan groups reveals that despite shared ancestral components, the Adivasi retain higher genetic contributions from ancient hunter-gatherers compared with the Sinhalese. Additionally, in contrast to the Sinhalese, the Adivasi have maintained low effective population size and undergone strong founder events, which is consistent with their hunter-gatherer lifestyle, historic relocations, and habitat fragmentation. While the two Adivasi clans are genetically more similar to each other than to any other populations, we observe differing demographic histories, with the Interior Adivasi experiencing a stronger bottleneck than the Coastal Adivasi since their split. This whole-genome-based study addresses gaps in our understanding of the demographic and migratory history of two key Sri Lankan groups and, consequently, of broader South Asia by illuminating complex population structure that has been shaped by both demographic and socio-cultural factors.

Indexed as

EthnicityGenetics, PopulationGenome, HumanHuman MigrationHumansIndigenous PeoplesSri LankaAdivasiadmixturedemographygenetic historieshuman evolutionpopulation structureSinhaleseSouth AsiaSri Lanka

Identifiers

PMID40494279
PMCPMC12242918

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.