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

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.

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Publication Details

Journal
Scientific Reports
Published
2025-12-01
DOI
https://doi.org/10.1038/s41598-025-30767-y
Primary Topic
Trypanosoma species research and implications
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Olivier Hanotte, Albert Eisenbarth, Alfons Renz, Siegfried Preuß et al.
Scientific Reports
Trypanosoma species research and implications
article

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

Olivier Hanotte, Albert Eisenbarth, Alfons Renz, Siegfried Preuß, Babette Abanda, Fabio Pilla, Mulusew Kassa Bitew, Archile Paguem, Gabriele Senczuk, Manchang Tanyi Kingsley, Daniel Mbunka Achukwi
article en

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.

Scientific ReportsVol. 16(1)
University of Hohenheim (DE), University of Molise (IT), University of Nottingham (GB), University of Buea (CM), University of Bamenda (CM), Bundeswehrkrankenhaus (DE), International Livestock Research Institute (KE), University of Tübingen (DE), Debre Markos University (ET)
Eberhard Karls Universität Tübingen, German Network for Bioinformatics Infrastructure
Openalex Percentile: Top 51%
Trypanosoma species research and implications
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