MétaCan
Menu
Back to cohort
Record W4406970292 · doi:10.1126/science.adn2094

Ancient genomics and the origin, dispersal, and development of domestic sheep

2025· article· en· W4406970292 on OpenAlexaff
Kevin G. Daly, Victoria E. Mullin, Andrew J. Hare, Áine Halpin, Valeria Mattiangeli, Matthew D. Teasdale, Conor Rossi, S. Geiger, Stefan Krebs, Ivica Međugorac, Edson Sandoval‐Castellanos, Mihriban Özbaşaran, Güneş Duru, Sevil Gülçur, Nadja Pöllath, Matthew J. Collins, Laurent Frantz, Emmanuelle Vila, Petăr Zidarov, Simon Stoddart, Bazartseren Boldgiv, Ludovic Orlando, Mike Parker Pearson, Jacqui Mulville, Igor Askeyev, Arthur Askeyev, Oleg Askeyev, Dilyara N. Shaymuratova, Youri van den Hurk, Andrea Zeeb‐Lanz, Rose‐Marie Arbogast, Helmut Hemmer, Hossein Davoudi, Sarieh Amiri, Sanaz Beizaee Doost, Delphine Decruyenaere, Homa Fathi, Roya Khazaeli, Yousef Hassanzadeh, Alireza Sardari, Johanna Lhuillier, Mostafa Abdolahi, Geoffrey D. Summers, Catherine Marro, Veli Bakhshaliyev, Rémi Berthon, Canan Çakırlar, Norbert Benecke, Amelie Scheu, Joachim Bürger, Eberhard Sauer, Liora Kolska Horwitz, Benjamin S. Arbuckle, Hijlke Buitenhuis, Lionel Gourichon, Jelena Bulatović, Terry O’Connor, David Orton, Mindia Jalabadze, Stephen Rhodes, Michael Chazan, Vecihi Özkaya, Melinda A. Zeder, Levent Atıcı, Marjan Mashkour, Joris Peters, Daniel G. Bradley

Bibliographic record

VenueScience · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic and phenotypic traits in livestock
Canadian institutionsUniversity of Toronto
FundersJapan Society for the Promotion of ScienceUniversity of TsukubaCentre National de la Recherche ScientifiqueUniversity of TehranMuséum National d'Histoire NaturelleInstitute for Aegean PrehistoryDeutsche ForschungsgemeinschaftScience Foundation IrelandEuropean Commission
KeywordsBiological dispersalGenomicsBiologyEvolutionary biologyComputational biologyGeographyGeneticsGenomeGeneMedicineEnvironmental health

Abstract

fetched live from OpenAlex

) are incompletely understood; to address this, we generated data from 118 ancient genomes spanning 12,000 years sampled from across Eurasia. Genomes from Central Türkiye ~8000 BCE are genetically proximal to the domestic origins of sheep but do not fully explain the ancestry of later populations, suggesting a mosaic of wild ancestries. Genomic signatures indicate selection by ancient herders for pigmentation patterns, hornedness, and growth rate. Although the first European sheep flocks derive from Türkiye, in a notable parallel with ancient human genome discoveries, we detected a major influx of Western steppe-related ancestry in the Bronze Age.

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 score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
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 head0.008
GPT teacher head0.255
Teacher spread0.247 · 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

Citations26
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueScienceSame topicGenetic and phenotypic traits in livestockFrench-language works237,207