The DOI matches its Crossref record; 131 of the 135 references it cites were found in a registry or an index.
The mosaic genome of indigenous African cattle as a unique genetic resource for African pastoralism
Open accessAbstract
Cattle pastoralism plays a central role in human livelihood in Africa. However, the genetic history of its success remains unknown. Here, through whole-genome sequence analysis of 172 indigenous African cattle from 16 breeds representative of the main cattle groups, we identify a major taurine × indicine cattle admixture event dated to circa 750-1,050 yr ago, which has shaped the genome of today's cattle in the Horn of Africa. We identify 16 loci linked to African environmental adaptations across crossbred animals showing an excess of taurine or indicine ancestry. These include immune-, heat-tolerance- and reproduction-related genes. Moreover, we identify one highly divergent locus in African taurine cattle, which is putatively linked to trypanotolerance and present in crossbred cattle living in trypanosomosis-infested areas. Our findings indicate that a combination of past taurine and recent indicine admixture-derived genetic resources is at the root of the present success of African pastoralism.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Zebu cattle spread westward from the Abyssinian region across the continent and penetrated south to Zambia, forming two major hybrid zones of taurine and zebu cattle in West and Southern Africa [48,49,50].”
From The Genomic Landscape of Cattle: Domestication, Dispersal, and Adaptive Evolution (2026) · cites this paper as [50]
Citations
Cites
Trimmomatic: a flexible trimmer for Illumina sequence data
Bolger, A. M., Lohse, M., & Usadel, B. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu170 · Cited by 65,548
The Sequence Alignment/Map format and SAMtools
Li, H., Handsaker, B., Wysoker, A., Fennell, T., Ruan, J., Homer, N., Marth, G., Abecasis, G., Durbin, R., & 1000 Genome Project Data Processing Subgroup (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp352 · Cited by 62,041
Fast and accurate short read alignment with Burrows-Wheeler transform
Li, H., & Durbin, R. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp324 · Cited by 58,607
PLINK: a tool set for whole-genome association and population-based linkage analyses.
Purcell, S., Neale, B., Todd-Brown, K., Thomas, L., Ferreira, M. A. R., Bender, D., Maller, J., Sklar, P., de Bakker, P. I. W., Daly, M. J., et al. (2007) · The American Journal of Human Genetics · doi:10.1086/519795 · Cited by 34,089
The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data
McKenna, A., Hanna, M., Banks, E., Sivachenko, A., Cibulskis, K., Kernytsky, A., Garimella, K., Altshuler, D., Gabriel, S., Daly, M., et al. (2010) · Genome Research · doi:10.1101/gr.107524.110 · Cited by 27,895
IQ-TREE: A Fast and Effective Stochastic Algorithm for Estimating Maximum-Likelihood Phylogenies
Nguyen, L.-T., Schmidt, H. A., von Haeseler, A., & Minh, B. Q. (2015) · Molecular Biology and Evolution · doi:10.1093/molbev/msu300 · Cited by 26,046
Detecting the number of clusters of individuals using the software structure: a simulation study
Evanno, G., Regnaut, S., & Goudet, J. (2005) · Molecular Ecology · doi:10.1111/j.1365-294x.2005.02553.x · Cited by 21,540
ESTIMATING F -STATISTICS FOR THE ANALYSIS OF POPULATION STRUCTURE
Weir, B. S., & Cockerham, C. C. (1984) · Evolution · doi:10.1111/j.1558-5646.1984.tb05657.x · Cited by 18,909
ModelFinder: fast model selection for accurate phylogenetic estimates
Kalyaanamoorthy, S., Minh, B. Q., Wong, T. K. F., von Haeseler, A., & Jermiin, L. S. (2017) · Nature Methods · doi:10.1038/nmeth.4285 · Cited by 18,449
The variant call format and VCFtools
Danecek, P., Auton, A., Abecasis, G. R., Albers, C. A., Banks, E., DePristo, M. A., Handsaker, R. E., Lunter, G. A., Marth, G., Sherry, S. T., et al. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr330 · Cited by 16,450
Research works printed but not linked: 2
- Kuo, Y.-C. et al. SEPT12 orchestrates the formation of mammalian sperm annulus by organizing core octameric complexes with other SEPT proteins. J. Cell Sci. 128, 923–934 (2015).
- Rege, J., Aboagye, G. & Tawah, C. Shorthorn cattle of West and Central Africa. I. Origin, distribution, classification and population statistics. World Anim. Rev. 78, 2–13 (1994).
Cited by
Sorted by citations
Items 101–144 of 144
Bovo, S., Schiavo, G., & Fontanesi, L. (2022) · Animals · doi:10.3390/ani12070838 · Cited by 1
Galal, L., Ariey, F., Gouilh, M. A., Dardé, M., Hamidović, A., Letourneur, F., Prugnolle, F., & Mercier, A. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.08.31.457674 · Cited by 1
Ward, J. A., McHugo, G. P., Dover, M. J., Hall, T. J., Ng'ang'a, S. I., Sonstegard, T. S., Bradley, D. G., Frantz, L., Salter‐Townshend, M., & MacHugh, D. E. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4055643 · Cited by 1
Most Beefalo cattle have no detectable bison genetic ancestryPreprint
Shapiro, B., Oppenheimer, J., Heaton, M. P., Kuhn, K. L., Green, R. E., Blackburn, H. D., & Smith, T. P. L. (2024) · eLife · doi:10.1101/2024.09.16.613218 · Cited by 1
Coastal caprines: using ZooMS to trace the spread of domesticates in coastal eastern Africa
Culley, C. (2021) · The University of Queensland · doi:10.14264/17f4bd1
The natural adaptation and human selection history of African sheep genomesPreprint
Ahbara, A., Robert, C., Kebede, A., Abeba, A., Latairish, S., Agoub, M. O., Musa, H. H., Wiener, P., Clark, E. L., Hanotte, O., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.11.17.469022
Self-citation189. Exploring genetic diversity and selection signatures in indigenous African cattle breeds
Friedrich, J., Bailey, R. I., Talenti, A., Marshall, K., Prendergast, J. G. D., & Wiener, P. (2022) · World Congress on Genetics Applied to Livestock Production (WCGALP) · doi:10.3920/978-90-8686-940-4_189
Vanvanhossou, S. F. U., Yin, T., Giambra, I. J., Brügemann, K., Dossa, L. H., & König, S. (2022) · World Congress on Genetics Applied to Livestock Production (WCGALP) · doi:10.3920/978-90-8686-940-4_191
Basiladze, G., Tabatadze, L. V., Gabashvili, E., Osepashvili, M., Murskhvaladze, M., & Kotetishvili, M. (2023) · Research Square · doi:10.21203/rs.3.rs-3499073/v1
Mauki, D. H., Tijjani, A., Ma, C., Ng’ang’a, S. I., Mark, A. I., Sanke, O. J., Abdussamad, A. M., Olaogun, S. C., Ibrahim, J., Dawuda, P. M., et al. (2022) · Figshare · doi:10.6084/m9.figshare.19607800
Self-citationComparative Microsatellite Analysis of Zeboid Cattle with Breeds of Bos taurus
Beketov, S. V., Svishcheva, G. R., Упелниек, В. П., Senator, S. A., Kuznetsov, S. B., Николаева, Э. А., & Stolpovsky, Y. A. (2024) · Russian Journal of Genetics · doi:10.1134/s1022795424030050
Comparative microsatellite analysis of zeboid cattle with breeds of Bos taurus
Beketov, S. V., Svishcheva, G. R., Упелниек, В. П., Senator, S. A., Kuznetsov, S. B., Николаева, Э. А., & Stolpovsky, Y. A. (2024) · Генетика · doi:10.31857/s0016675824030079
Most Beefalo cattle have no detectable bison genetic ancestryPreprint
Shapiro, B., Oppenheimer, J., Heaton, M. P., Kuhn, K. L., Green, R. E., Blackburn, H. D., & Smith, T. P. L. (2024) · eLife · doi:10.7554/elife.102750
Rare ancient DNA from Sahara opens a window on the region’s verdant past
Prendergast, M. E. (2025) · Nature · doi:10.1038/d41586-025-00755-3
Genetic estimates and genome-wide association studies of antibody response in Tanzanian dairy cattle
Hernandez-Castro, L. E., Cook, E. A. J., Matika, O., Mengele, I. J., Motto, S. K., Bwatota, S. F., Zirra-Shallangwa, B., Pong‐Wong, R., Prendergast, J. G. D., Mrode, R., et al. (2025) · Frontiers in Genetics · doi:10.3389/fgene.2025.1497355
Integrative Genomics Identifies Candidate Genes Underlying Trypanotolerance in Hybrid African Cattle
McHugo, G. P., Ward, J. A., Ng’ang’a, S. I., Frantz, L., Browne, J. A., Salter‐Townshend, M., O’Gorman, G. M., Meade, K. G., Hill, E. W., Hall, T. J., et al. (2026) · Evolutionary Applications · doi:10.1111/eva.70274
Campbell, M. O. (2025) · Springer eBooks · doi:10.1007/978-3-031-97363-5_7
Cattle Ancestry, Domestication and Carnivores
Campbell, M. O. (2025) · Springer eBooks · doi:10.1007/978-3-031-97363-5_3
Mrode, R., Mbah, D. A., Tawah, C. L., Ojango, J. M. K., PETERS, S. O., Ibeagha-Awemu, E. M., Opoola, O., Houaga, I., Osei-Amponsah, R., Okpeku, M., et al. (2025) · Sustainable development goals series · doi:10.1007/978-3-031-92076-9_16
Les zébus africains (Bos indicus africanus) : origines, diversité et performances zootechniques
Yamboue, A. T., & Hanzen, C. (2025) · Revue d’élevage et de médecine vétérinaire des pays tropicaux · doi:10.19182/remvt.37615 · Cited by 1
Friedrich, J., Bailey, R. I., Talenti, A., Chaudhry, U., Ali, Q., Obishakin, E. F., Ezeasor, C., Powell, J., Hanotte, O., Tijjani, A., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26654056
Self-citationFriedrich, J., Bailey, R. I., Talenti, A., Chaudhry, U., Ali, Q., Obishakin, E. F., Ezeasor, C., Powell, J., Hanotte, O., Tijjani, A., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26654053
Self-citationMauki, D. H., Tijjani, A., Ma, C., Ng’ang’a, S. I., Mark, A. I., Sanke, O. J., Abdussamad, A. M., Olaogun, S. C., Ibrahim, J., Dawuda, P. M., et al. (2022) · Figshare · doi:10.6084/m9.figshare.19607797
Self-citationFriedrich, J., Bailey, R. I., Talenti, A., Chaudhry, U., Ali, Q., Obishakin, E. F., Ezeasor, C., Powell, J., Hanotte, O., Tijjani, A., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26654065
Self-citationFriedrich, J., Bailey, R. I., Talenti, A., Chaudhry, U., Ali, Q., Obishakin, E. F., Ezeasor, C., Powell, J., Hanotte, O., Tijjani, A., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26654062
Self-citationAdditional file 1 of Whole genome sequencing of simmental cattle for SNP and CNV discovery
Sun, T., Pei, S., Liu, Y., Hanif, Q., Xu, H., Chen, N., Lei, C., & Yue, X. (2024) · Figshare · doi:10.6084/m9.figshare.26580683
Xu, L., Zhou, K., Huang, X., Chen, H., Dong, H., & Chen, Q. (2024) · Figshare · doi:10.6084/m9.figshare.25223451
Friedrich, J., Bailey, R. I., Talenti, A., Chaudhry, U., Ali, Q., Obishakin, E. F., Ezeasor, C., Powell, J., Hanotte, O., Tijjani, A., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26654059
Self-citationFriedrich, J., Bailey, R. I., Talenti, A., Chaudhry, U., Ali, Q., Obishakin, E. F., Ezeasor, C., Powell, J., Hanotte, O., Tijjani, A., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26654047
Self-citationKwon, T., Kim, K., Caetano-Anollés, K., Sung, S., Cho, S., Jeong, C., Hanotte, O., & 김희발 (2022) · Figshare · doi:10.6084/m9.figshare.18585750
Self-citationFriedrich, J., Bailey, R. I., Talenti, A., Chaudhry, U., Ali, Q., Obishakin, E. F., Ezeasor, C., Powell, J., Hanotte, O., Tijjani, A., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26654050
Self-citationAdditional file 2 of Whole genome sequencing of simmental cattle for SNP and CNV discovery
Sun, T., Pei, S., Liu, Y., Hanif, Q., Xu, H., Chen, N., Lei, C., & Yue, X. (2024) · Figshare · doi:10.6084/m9.figshare.26580686
Integrative Whole-Genome Analysis reveals Genomic Signatures of Innate Immunity in Indicine CattlePreprint
Thambiraja, M., Roshan, M., Singh, D., Onteru, S. K., & Yennamalli, R. M. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.01.21.700751
Tesfa, A., Kassa, B., Taye, M., Alkader, A., Aychilie, D., Zegeye, Z. B., Demeke, T., & Lakew, M. (2026) · Veterinary medicine and science · doi:10.5772/intechopen.1012971
Terefe, E., Belay, G., Tijjani, A., Han, J., Salim, B., & Hanotte, O. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.02.09.704906
Self-citationTheileria parva in the African Buffalo ( Syncerus caffer )
Morrison, W. I., Morrison, L. J., Hanotte, O., & Toye, P. G. (2026) · CABI eBooks · doi:10.1079/9781800626324.0005
Self-citationTranscriptomic profiling of immune cells in pancreatic cancer
Zhu, X. (2025) · International Conference on Computational Biology and Bioinformatics (ICCBB) · doi:10.1145/3789938.3789976
Genome-wide variation landscape reveals temperature adaptation in Chinese indigenous cattle
Zhao, C., Teng, J., Chen, Y., Yang, C., Zhang, X., Ning, C., Wang, H., Yang, Q., Lv, W., Wang, D., et al. (2026) · Journal of Animal Science and Biotechnology/Journal of animal science and biotechnology · doi:10.1186/s40104-026-01451-6
Genomic solutions to metadata challenges: a case study on the 1000 Bull Genomes Project
Schlüter, J.-S., Heinrich, F., Gültaş, M., & Schmitt, A. O. (2026) · Genetics Selection Evolution · doi:10.1186/s12711-026-01061-w
Ojong, E. T., Opoola, O., Touko, B. A. H., Houaga, I., Etchu, K. A., Djikeng, A., & Tiambo, C. K. (2026) · Gene Reports · doi:10.1016/j.genrep.2026.102601
Alhassan, M. Y., Ahmad, A. A., & DANMARAYA, M. A. (2026) · Tropical Animal Health and Production · doi:10.1007/s11250-026-05290-5
Terefe, E., Belay, G., Tijjani, A., da Silva, M. B. D. B., Han, J.-L., Salim, B., & Hanotte, O. (2026) · PLoS ONE · doi:10.1371/journal.pone.0343484
Self-citationBrunson, K., Witt, K. E., MONGE, S., Williams, S. R., Singleton, R. R., Peede, D., Odsuren, D., Bukhchuluun, D., Cameron, A., Szpak, P., et al. (2026) · iScience · doi:10.1016/j.isci.2026.117409
Genomic diversity, population structure and admixture in native cattle breeds of Benin
Zorobouragui, L., Tapsoba, S. A. R., TRAORE, A., Periasamy, K., Pichler, R., Mavunga, T. K., Séidou, A. A., Worogo, H. S. S., Taba, N., Azalou, M., et al. (2026) · World Congress on Genetics Applied to Livestock Production (WCGALP) · doi:10.31274/wcgalp.24000
Metadata
- Authors
- Kim, K., Kwon, T., Dessie, T., Yoo, D., Mwai, O. A., Jang, J., Sung, S., Lee, S., Salim, B., Jung, J., Jeong, H., Tarekegn, G. M., Tijjani, A., Lim, D., Cho, S., Oh, S. J., Lee, H.-K., Kim, J., Jeong, C., Kemp, S., Hanotte, O., & Kim, H.
- Affiliations
- Seoul National University (KR)
- International Livestock Research Institute (KE)
- University of Khartoum (SD)
- Swedish University of Agricultural Sciences (SE)
- Roslin Institute (GB)
- National Institute of Animal Science (KR)
- Jeonbuk National University (KR)
- Gyeongsang National University (KR)
- Corresponding author
- Hanotte, Olivier
- Kim, Heebal
- ORCID
- Venue
- Nature Genetics
- Published
- 2020-09-28
- Volume
- 52
- Issue
- 10
- Pages
- 1099-1110
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- OpenAlex
- W3091710808
- Cited by
- 140
- References
- 135
- Citations by year
- 2026: 22 · 2025: 28 · 2024: 31 · 2023: 17 · 2022: 20 · 2021: 20 · 2020: 2
- FWCI
- 8.79
- Type
- journal article
- Language
- en
- Open access
- Locations
- Nature Genetics (publishedVersion)
- PubMed (publishedVersion)
- Repository@Nottingham (University of Nottingham) (submittedVersion, cc-by)
- CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research) (submittedVersion)
- Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, other-oa)
- Seoul National University Open Repository (Seoul National University) (submittedVersion)
- Greater South Information System
- Funders
- Bill and Melinda Gates Foundation
- UK aid from the UK Government’s Department for International Development
- Rural Development Administration (PJ01323701, PJ01040601)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic and phenotypic traits in livestock
- Life Sciences › Agricultural and Biological Sciences › Animal Science and Zoology › Livestock Farming and Management
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
- Keywords
- crossbreeding, genetic ancestry, environmental adaptation, trypanotolerance, trypanosomiasis, heat tolerance, immune-related genes, Horn of Africa, cattle breeds, genetic resources
- MeSH terms
- Whole Genome Sequencing, Adaptation, Physiological, Africa, Alleles, Animals, Breeding, Cattle, Genotype, Hot Temperature, Mosaicism, Reproduction, Genome, Polymorphism, Single Nucleotide
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review