Evidence map›Paper›PMID 41940346›Full record

ArticleiScience2026

Unscrambling the history of African indicine cattle genomes.

Mulusew Kassa Bitew, Helina Solomon Woldekiros, Christian Persichilli, Marika Di Civita, Slim Ben Jemaa, Salvatore Mastrangelo, Joram M Mwacharo, Olivier Hanotte, Fabio Pilla, Gabriele Senczuk

Abstract read
In one paragraph

Article in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Mulusew Kassa BitewDepartment of Agriculture, Environmental and Food Sciences, University of Molise, Campobasso, Italy.
Helina Solomon WoldekirosDepartment of Anthropology, Washington University in St. Louis, St. Louis, MO, USA.
Christian PersichilliDepartment of Agriculture, Environmental and Food Sciences, University of Molise, Campobasso, Italy.
Marika Di CivitaDepartment of Agriculture, Environmental and Food Sciences, University of Molise, Campobasso, Italy.
Slim Ben JemaaLaboratoire des Productions Animales et Fourragères, Institut National de la Recherche Agronomique de Tunisie, Université de Carthage, Ariana 2049, Tunisia.
Salvatore MastrangeloDipartimento Scienze Agrarie, Alimentari e Forestali, University of Palermo, Palermo 90128, Italy.
Joram M MwacharoDryland Livestock Genomics, International Centre for Agricultural Research in the Dry Areas (ICARDA), Addis Ababa, Ethiopia.
Olivier HanotteSchool of Life Sciences, University of Nottingham, Nottingham, UK.
Fabio PillaDepartment of Agriculture, Environmental and Food Sciences, University of Molise, Campobasso, Italy.
Gabriele SenczukDepartment of Agriculture, Environmental and Food Sciences, University of Molise, Campobasso, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

African cattle's genetic heritage reflects millennia of relationships between African and Asian human societies and civilizations. By analyzing genome-wide SNP data from 1,043 individuals representing 38 breeds, including 36 from Africa, in an approximate Bayesian computation framework, coupled with random forest classification, we show that this history is characterized by at least two independent arrivals of zebu (indicine) cattle from the Indian subcontinent. Time estimates coincide with major cultural transitions across Africa, including state formation, iron technology spread, and pastoral intensification, exemplified by developments such as the Aksumite Empire and Swahili civilization. Moreover, we show that sanga cattle are the result of admixture between native African taurine and zebu cattle from the first arrival. These findings provide a refined chronology of cattle movements and pastoralism into Africa, reveal how human cultural transitions structured livestock genomes, and highlight Africa's central role in shaping global cattle diversity.

Indexed as

paleobiologypaleogeneticszoology

Identifiers

PMID41940346
PMCPMC13049625

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LicenceCC BY-NC-ND
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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.