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Record W4213456315 · doi:10.1038/s41586-022-04430-9

Ancient DNA and deep population structure in sub-Saharan African foragers

2022· article· en· W4213456315 on OpenAlexafffund
Mark Lipson, Elizabeth Sawchuk, Jessica C. Thompson, Jonas Oppenheimer, Christian A. Tryon, Kathryn L. Ranhorn, Kathryn M. de Luna, Kendra Sirak, Íñigo Olalde, Stanley H. Ambrose, John Arthur, Kathryn J. W. Arthur, George Ayodo, Alex Bertacchi, Jessica I. Cerezo-Román, Brendan J. Culleton, Matthew C. Curtis, Jacob Davis, Agness Gidna, Annalys Hanson, Potiphar Kaliba, Maggie Katongo, Amandus Kwekason, Myra F. Laird, Jason Lewis, Audax Mabulla, Fredrick Mapemba, Alan Morris, George Mudenda, Raphael Mwafulirwa, Daudi Mwangomba, Emmanuel Ndiema, Christine Ogola, Flora Schilt, Pamela R. Willoughby, David Wright, Andrew M. Zipkin, Ron Pinhasi, Douglas J. Kennett, Fredrick K. Manthi, Nadin Rohland, Nick Patterson, David Reich, Mary E. Prendergast

Bibliographic record

VenueNature · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicForensic and Genetic Research
Canadian institutionsUniversity of Alberta
FundersSocial Sciences and Humanities Research Council of CanadaRadcliffe Institute for Advanced Study, Harvard UniversityYale UniversityRice UniversityNational Institute of General Medical SciencesNational Geographic SocietyNational Human Genome Research InstitutePaul G. Allen Family FoundationJohn Templeton FoundationNational Institutes of HealthNational Science FoundationHoward Hughes Medical Institute
KeywordsAncient DNAPleistoceneRange (aeronautics)HolocenePopulationEpoch (astronomy)GeographyDemographic historyArchaeological recordArchaeologyPaleontologyEvolutionary biologyBiologyGenetic variationDemography

Abstract

fetched live from OpenAlex

Abstract Multiple lines of genetic and archaeological evidence suggest that there were major demographic changes in the terminal Late Pleistocene epoch and early Holocene epoch of sub-Saharan Africa 1–4 . Inferences about this period are challenging to make because demographic shifts in the past 5,000 years have obscured the structures of more ancient populations 3,5 . Here we present genome-wide ancient DNA data for six individuals from eastern and south-central Africa spanning the past approximately 18,000 years (doubling the time depth of sub-Saharan African ancient DNA), increase the data quality for 15 previously published ancient individuals and analyse these alongside data from 13 other published ancient individuals. The ancestry of the individuals in our study area can be modelled as a geographically structured mixture of three highly divergent source populations, probably reflecting Pleistocene interactions around 80–20 thousand years ago, including deeply diverged eastern and southern African lineages, plus a previously unappreciated ubiquitous distribution of ancestry that occurs in highest proportion today in central African rainforest hunter-gatherers. Once established, this structure remained highly stable, with limited long-range gene flow. These results provide a new line of genetic evidence in support of hypotheses that have emerged from archaeological analyses but remain contested, suggesting increasing regionalization at the end of the Pleistocene epoch.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.004
GPT teacher head0.249
Teacher spread0.244 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations162
Published2022
Admission routes2
Has abstractyes

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