Evidence map›Paper›PMID 41326657›Full record

ArticleScientific reports2025

Genomic evidence of positive selection highlights functional divergence associated with environmental resilience in central and West African indigenous cattle.

Mulusew Kassa Bitew, Archile Paguem, Babette Abanda, Daniel Mbunka Achukwi, Kingsley Tanyi Manchang, Siegfried Preuß, Olivier Hanotte, Gabriele Senczuk, Alfons Renz, Albert Eisenbarth and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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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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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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Mulusew Kassa BitewDepartment of Agriculture, Environmental and Food Sciences, University of Molise, Campobasso, Italy. myhoby3@gmail.com.
Archile PaguemDepartment of Veterinary Medicine, Faculty of Agriculture and Veterinary Medicine, University of Buea, Buea, Cameroon. achillepaguem@gmail.com.
Babette AbandaDepartment of Comparative Zoology, Institute of Evolution and Ecology, University of Tübingen, 72076, Tübingen, Germany.
Daniel Mbunka AchukwiTOZARD research laboratory, Bambili, Bamenda, Cameroon.
Kingsley Tanyi ManchangDepartment of Veterinary Medicine, Faculty of Agriculture and Veterinary Medicine, University of Buea, Buea, Cameroon.
Siegfried PreußInstitute of Animal Science, University of Hohenheim, Stuttgart, Germany.
Olivier HanotteSchool of Life Sciences, University of Nottingham, Nottingham, UK.
Gabriele SenczukDepartment of Agriculture, Environmental and Food Sciences, University of Molise, Campobasso, Italy.
Alfons RenzDepartment of Veterinary Medicine, Faculty of Agriculture and Veterinary Medicine, University of Buea, Buea, Cameroon.
Albert EisenbarthDepartment of Comparative Zoology, Institute of Evolution and Ecology, University of Tübingen, 72076, Tübingen, Germany.
Fabio PillaDepartment of Agriculture, Environmental and Food Sciences, University of Molise, Campobasso, Italy.

Funding

Otto Bayer Foundation F-2013BS522The German Research Foundation DFG, grant RE 1536/2The International Foundation for Science, Stockholm, Sweden B/5864-1The joint RiSC program of the State Ministry of Science, Research and Arts Baden-Württemberg and the University of Tübingen PSP-no. 4041002616
6 · The paper itself

Abstract

African indigenous cattle harbor rich genetic diversity shaped by long-term adaptation to tropical climates and endemic diseases, notably trypanosomiasis. To investigate the genetic basis of natural disease resistance, we analyzed 33,147 SNPs in 1,047 individuals from 17 breeds using complementary selection scans (iHS, XP-EHH, and Rsb) in a multi-cohort framework. Fifteen pairwise comparisons across six breed groups enabled robust detection of recent positive selection, capturing both within-breed and breed-specific adaptive signals. We identified 229 selective regions, with 47 outlier SNPs consistently detected by multiple methods. Selection signals were enriched on chromosomes 5, 7, and 29, containing candidate genes such as ATF4, PKNOX2, DNAJB7, TEF, NFE2, and several SPINK and HOXC family members, many associated with immune function and trypanosome challenge response. These genomic regions represent promising targets for the development of breeding strategies aimed at enhancing disease resilience. By identifying genomic regions under selection, this study provides interesting insights for sustainable livestock improvement and conservation efforts in West and Central Africa. Our findings support the integration of indigenous genetic resources into breeding programs designed to optimize productivity while maintaining resilience to environmental and disease pressures.

Indexed as

Disease ResistanceSelection, GeneticAfrica, CentralAfrica, WesternAnimalsBreedingCattleGenomicsPolymorphism, Single NucleotideGenetic adaptationGenomic-selection scansPositive-selection signaturesSustainable breedingTrypanosomiasis toleranceWest and central african indigenous cattle

Identifiers

PMID41326657
PMCPMC12789686

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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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 Socratic graph.