Genomic Structure and Selection History across Angus Populations Worldwide: Insights from ROH, Selection Mapping, and Functional Analyses
Open accessAbstract
Angus cattle, originally from Scotland, have been selectively bred for over 400 years, making them one of the most prominent beef breeds globally. Known for their adaptability, natural polled traits, and high-quality beef, Angus cattle have been intensively selected for growth, body size, and feed efficiency. This study investigates the genetic diversity, selection history, and key genomic regions across five Angus populations from the USA, Canada, Australia, Brazil, and Red Angus of America. Genomic data from 71,283 animals born between 1961 and 2024 were analyzed using Principal Component Analysis (PCA), phylogenetic tree construction, and Runs of Homozygosity (ROH), with the Generation Proxy Selection Mapping (GPSM) approach used to assess selection history. Functional annotation identified candidate genes and pathways related to selection. Our analysis revealed both similarities and differences across populations. The PCA and FST metrics showed minimal differentiation between the American, Canadian, Australian, and Brazilian populations, with greater differentiation observed in the Red Angus population. The ROH analysis revealed that the Brazilian population had the highest number of ROHs. The ROH islands identified on BTA8 and BTA13 in the American and Australian populations were linked to traits like body weight, marbling, and tenderness. The GPSM identified significant markers associated with body weight and growth in all populations, reflecting ongoing selection pressures. This study highlights the potential of genomics to improve our understanding of Angus cattle's genetic architecture and selection history. It underscores the feasibility of integrating global populations for more accurate genomic evaluations, enhancing genetic predictions, and supporting sustainable beef production worldwide.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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 United States, the establishment of the "Certified Angus Beef" brand in 1978 further focused the breeding objectives for intramuscular fat content, achieving standardized and premium product quality.
“In the United States, the establishment of the “Certified Angus Beef” brand in 1978 further focused the breeding objectives for intramuscular fat content, achieving standardized and premium product quality [80].”
From The Genomic Landscape of Cattle: Domestication, Dispersal, and Adaptive Evolution (2026) · cites this paper as [80]
The Introduction (page unavailable) says branded beef programs partly facilitated Angus selective breeding and describes the breed as valued for marbled, high-quality beef. It does not identify Certified Angus Beef, give a 1978 establishment date, or say that this brand focused US breeding on intramuscular fat and achieved standardized premium quality. (LLM, conf=0.82)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
The neighbor-joining method: a new method for reconstructing phylogenetic trees.
Saitou, N., & Nei, M. (1987) · Molecular Biology and Evolution · doi:10.1093/oxfordjournals.molbev.a040454 · Cited by 59,962 · see citing works
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 · see citing works
APE: Analyses of Phylogenetics and Evolution in R language
Paradis, E., Claude, J., & Strimmer, K. (2004) · Bioinformatics · doi:10.1093/bioinformatics/btg412 · Cited by 12,037 · see citing works
GCTA: a tool for genome-wide complex trait analysis
Yang, J., Lee, S. H., Goddard, M. E., & Visscher, P. M. (2011) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2010.11.011 · Cited by 8,279 · see citing works
Efficient Methods to Compute Genomic Predictions
VanRaden, P. M. (2008) · Journal of Dairy Science · doi:10.3168/jds.2007-0980 · Cited by 6,050 · see citing works
phangorn: phylogenetic analysis in R
Schliep, K. P. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq706 · Cited by 3,678 · see citing works
THE INTERPRETATION OF POPULATION STRUCTURE BY F-STATISTICS WITH SPECIAL REGARD TO SYSTEMS OF MATING
Wright, S. (1965) · Evolution · doi:10.1111/j.1558-5646.1965.tb01731.x · Cited by 3,591 · see citing works
A high-performance computing toolset for relatedness and principal component analysis of SNP data
Zheng, X., Levine, D., Shen, J., Gogarten, S. M., Laurie, C. C., & Weir, B. S. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts606 · Cited by 2,541 · see citing works
Kolberg, L., Raudvere, U., Kuzmin, I., Vilo, J., & Peterson, H. (2020) · F1000Research · doi:10.12688/f1000research.24956.2 · Cited by 1,098 · see citing works
A new approach for efficient genotype imputation using information from relatives
Sargolzaei, M., Chesnais, J. P., & Schenkel, F. S. (2014) · BMC Genomics · doi:10.1186/1471-2164-15-478 · Cited by 1,043 · see citing works
<i>De novo</i> assembly of the cattle reference genome with single-molecule sequencing
Rosen, B. D., Bickhart, D. M., Schnabel, R. D., Koren, S., Elsik, C. G., Tseng, E., Rowan, T. N., Low, W. Y., Zimin, A., Couldrey, C., et al. (2020) · GigaScience · doi:10.1093/gigascience/giaa021 · Cited by 802 · see citing works
Hu, Z., Park, C. A., & Reecy, J. M. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkab1116 · Cited by 414 · see citing works
Fonseca, P. A. D. S., Suárez‐Vega, A., Marras, G., & Cánovas, Á. (2020) · GigaScience · doi:10.1093/gigascience/giaa149 · Cited by 303 · see citing works
Marras, G., Gaspa, G., Sorbolini, S., Dimauro, C., Ajmone‐Marsan, P., Valentini, A., Williams, J. L., & Macciotta, N. P. P. (2014) · Animal Genetics · doi:10.1111/age.12259 · Cited by 292 · see citing works
Kemper, K. E., Reich, C. M., Bowman, P. J., Jagt, C. J. V., Chamberlain, A. J., Mason, B., Hayes, B. J., & Goddard, M. E. (2015) · Genetics Selection Evolution · doi:10.1186/s12711-014-0074-4 · Cited by 137 · see citing works
Brito, L. F., Jafarikia, M., Grossi, D. A., Kijas, J., Neto, L. R. P., Ventura, R. V., Salgorzaei, M., & Schenkel, F. S. (2015) · BMC Genetics · doi:10.1186/s12863-015-0220-1 · Cited by 102 · see citing works
Understanding and predicting complex traits: knowledge from cattle
Kemper, K. E., & Goddard, M. E. (2012) · Human Molecular Genetics · doi:10.1093/hmg/dds332 · Cited by 91 · see citing works
Chen, N., Xia, X., Hanif, Q., Zhang, F., Dang, R., Huang, B., Lyu, Y., Luo, X., Zhang, H., Yan, H., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-43626-z · Cited by 83 · see citing works
Mulim, H. A., Brito, L. F., Pinto, L. F. B., Ferraz, J. B. S., Grigoletto, L., Silva, M. R., & Pedrosa, V. B. (2022) · BMC Genomics · doi:10.1186/s12864-022-08384-0 · Cited by 71 · see citing works
Self-citationRelationship of runs of homozygosity with adaptive and production traits in a paternal broiler line
Marchesi, J. A. P., Buzanskas, M. E., Cantão, M. E., Ibelli, A. M. G., Peixoto, J. D. O., Joaquim, L. B., Moreira, G. C. M., Godoy, T. F., Sbardella, A. P., de Figueiredo, E. A. P., et al. (2017) · animal · doi:10.1017/s1751731117002671 · Cited by 66 · see citing works
Genetic characterization of Aberdeen Angus cattle using molecular markers
Vasconcellos, L. P. D. M. K., Tambasco, D. D., Pereira, A. P., Coutinho, L. L., & Regitano, L. C. D. A. (2003) · Genetics and Molecular Biology · doi:10.1590/s1415-47572003000200005 · Cited by 60 · see citing works
Genetic Differentiation among Livestock Breeds—Values for Fst
Hall, S. J. G. (2022) · Animals · doi:10.3390/ani12091115 · Cited by 54 · see citing works
Mudadu, M. A., Neto, L. R. P., Mokry, F. B., Tizioto, P. C., de Oliveira, P. S. N., Túllio, R. R., NASSU, R. T., Niciura, S. C. M., Tholon, P., de Alencar, M. M., et al. (2016) · BMC Genomics · doi:10.1186/s12864-016-2535-3 · Cited by 46 · see citing works
Inference of population structure of purebred dairy and beef cattle using high-density genotype data
Kelleher, M., Berry, D. P., Kearney, J. F., McParland, S., Buckley, F., & Purfield, D. C. (2016) · animal · doi:10.1017/s1751731116001099 · Cited by 45 · see citing works
Bioeconomic model and selection indices in A berdeen A ngus cattle
Campos, G. S., Neto, J. B., Oaigen, R. P., Cardoso, F. F., Cobuci, J. A., Kern, E. L., Campos, L. T., Bértoli, C. D., & Mcmanus, C. M. (2014) · Journal of Animal Breeding and Genetics · doi:10.1111/jbg.12069 · Cited by 27 · see citing works
Self-citationUncovering Sub-Structure and Genomic Profiles in Across-Countries Subpopulations of Angus Cattle
Cardoso, D. F., Júnior, G. A. F., Scalez, D. C. B., Alves, A. A. C., Magalhães, A. F. B., Bresolin, T., Ventura, R. V., Li, C., Oliveira, M. C. D. S., Neto, L. R. P., et al. (2020) · Scientific Reports · doi:10.1038/s41598-020-65565-1 · Cited by 21 · see citing works
Genomic analysis of inbreeding and coancestry in Nordic Jersey and Holstein dairy cattle populations
Tenhunen, S. R., Thomasen, J. R., Sørensen, L. P., Berg, P., & Kargo, M. (2024) · Journal of Dairy Science · doi:10.3168/jds.2023-24553 · Cited by 21 · see citing works
Smakuev, D., Shakhmurzov, M. M., Погодаев, В. А., Shevkhuzhev, A. F., Ребезов, М. Б., Kosilov, V. I., & Yessimbekov, Z. (2021) · Journal of the Saudi Society of Agricultural Sciences · doi:10.1016/j.jssas.2021.05.011 · Cited by 18 · see citing works
Comparison of Angus cattle populations using gene variants and microsatellites
Carruthers, C. R., Plante, Y., & Schmutz, S. M. (2011) · Canadian Journal of Animal Science · doi:10.4141/cjas10058 · Cited by 17 · see citing works
Campos, G. S., Cardoso, F. F., Gomes, C. C. G., Domingues, R., Regitano, L. C. D. A., Oliveira, M. C. D. S., de Oliveira, H. N., Carvalheiro, R., de Albuquerque, L. G., Miller, S. P., et al. (2022) · Journal of Animal Science · doi:10.1093/jas/skac009 · Cited by 14 · see citing works
Self-citationAlvarenga, A. B., Retallick, K., Garcia, A. L. S., Miller, S. P., Byrne, A. W., de Oliveira, H. R., & Brito, L. F. (2023) · Genetics Selection Evolution · doi:10.1186/s12711-023-00850-x · Cited by 10 · see citing works
Self-citationUncovering the architecture of selection in two Bos taurus cattle breeds
Rowan, T. N., Schnabel, R. D., & Decker, J. E. (2024) · Evolutionary Applications · doi:10.1111/eva.13666 · Cited by 10 · see citing works
Signatures of selection in Angus and Hanwoo beef cattle using imputed whole genome sequence data
Nawaz, M. Y., Savegnago, R. P., Lim, D., Lee, S. H., & Gondro, C. (2024) · Frontiers in Genetics · doi:10.3389/fgene.2024.1368710 · Cited by 10 · see citing works
Analysis of Runs of Homozygosity in Aberdeen Angus Cattle
Kolpakov, V., Ruchay, A. N., Kosyan, D. B., & Bukareva, E. (2024) · Animals · doi:10.3390/ani14152153 · Cited by 9 · see citing works
431. Genomic selection in the US: where it has been and where it is going?
Retallick, K., Lu, D., Garcia, A. L. S., & Miller, S. P. (2022) · World Congress on Genetics Applied to Livestock Production (WCGALP) · doi:10.3920/978-90-8686-940-4_431 · Cited by 6 · see citing works
Self-citationFathoni, A., Boonkum, W., Chankitisakul, V., Buaban, S., & Duangjinda, M. (2025) · Animals · doi:10.3390/ani15091320 · Cited by 5 · see citing works
Grohmann, C. J., Shull, C. M., Crum, T. E., Schwab, C. R., Safranski, T. J., & Decker, J. E. (2023) · Genetics Selection Evolution · doi:10.1186/s12711-023-00836-9 · Cited by 4 · see citing works
Influence of Cattle Backgrounding Systems on Animal and Carcass Characteristics
Langlie, J., Omontese, B. O., DiCostanzo, A., Cox, R. B., & Webb, M. J. (2019) · Meat and Muscle Biology · doi:10.22175/mmb.10696 · Cited by 1 · see citing works
364 Genetics: How long does it take for genetics to improve carcass characteristics
Engle, B. N., Thallman, R. M., Snelling, W. M., WHEELER, T. L., Shackelford, S., King, A., & Kuehn, L. A. (2024) · Journal of Animal Science · doi:10.1093/jas/skae234.108 · Cited by 1 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
The Genomic Landscape of Cattle: Domestication, Dispersal, and Adaptive Evolution
Liu, Y., Dao, W., Gao, R., Fan, X., Yang, R., & Miao, Y. (2026) · Animals · doi:10.3390/ani16050776 · Cited by 1 · see citing works
Genome-wide association study of mature cow size traits in American Angus cattle
Ojo, A. O., Mulim, H. A., Campos, M. A. F., Garcia, A., Retallick-Riley, K. J., Fonseca, P. A. D. S., & de Oliveira, H. R. (2026) · Mammalian Genome · doi:10.1007/s00335-026-10226-3
Self-citationReal-time ultrasound-based prediction of carcass traits in angus cattle: A three-year comparison
Vaz, P. S., Araújo, J. P., Campagnol, P. C. B., Camiña, M., Mata, F., & Vargas‐Ramella, M. (2026) · Meat Science · doi:10.1016/j.meatsci.2026.110155
A comparative study of runs of homozygosity islands common among 12 Australian beef cattle breeds
Manzari, Z., Connors, N. K., Werf, J. H. V. D., Johnston, D. J., & Ferdosi, M. H. (2026) · Journal of Animal Science · doi:10.1093/jas/skag199
Yu, Y., Fu, Y., Zhao, J., Wu, S., Wang, S., Li, Z., Liu, L., Sun, F., ZHONG, J., Wang, J., et al. (2026) · Animals · doi:10.3390/ani16172758
- Authors
- Mulim, H. A., Campos, G. S., Cardoso, F. F., Pedrosa, V. B., Latimer, K., Upperman, L. R., Knowles, A. J., Garcia, A., Retallick, K., Miller, S., & de Oliveira, H. R.
- Affiliations
- Purdue University West Lafayette (US)
- Embrapa (BR)
- Neogen (United States) (US)
- New South Wales Department of Primary Industries (AU)
- Corresponding author
- Mulim, Henrique A.
- Venue
- Mammalian Genome
- Published
- 2025-12-22
- Volume
- 37
- Issue
- 1
- Pages
- 19-19
- ISSN
- 0938-8990 (ISSN-L)
- 1432-1777
- PMC
- PMC12722264
- OpenAlex
- W7116690248
- Cited by
- 5
- References
- 39
- Citations by year
- 2026: 5
- FWCI
- 2.94
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Mammalian Genome (publishedVersion, cc-by)
- PubMed (publishedVersion)
- PubMed Central (publishedVersion, cc-by)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic and phenotypic traits in livestock
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic diversity and population structure
- Keywords
- Angus cattle, selection history, runs of homozygosity, genetic diversity, genetic differentiation, beef cattle, growth traits, body weight, marbling, meat tenderness, candidate genes, genomic evaluation, Red Angus
- MeSH terms
- Animals, Australia, Cattle, Chromosome Mapping, Genetics, Population, Homozygote, Phylogeny, Selection, Genetic, Genetic Variation, Genome, Genomics, Principal Component Analysis
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