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De novo assembly of the cattle reference genome with single-molecule sequencing
Open accessAbstract
BACKGROUND: Major advances in selection progress for cattle have been made following the introduction of genomic tools over the past 10-12 years. These tools depend upon the Bos taurus reference genome (UMD3.1.1), which was created using now-outdated technologies and is hindered by a variety of deficiencies and inaccuracies. RESULTS: We present the new reference genome for cattle, ARS-UCD1.2, based on the same animal as the original to facilitate transfer and interpretation of results obtained from the earlier version, but applying a combination of modern technologies in a de novo assembly to increase continuity, accuracy, and completeness. The assembly includes 2.7 Gb and is >250× more continuous than the original assembly, with contig N50 >25 Mb and L50 of 32. We also greatly expanded supporting RNA-based data for annotation that identifies 30,396 total genes (21,039 protein coding). The new reference assembly is accessible in annotated form for public use. CONCLUSIONS: We demonstrate that improved continuity of assembled sequence warrants the adoption of ARS-UCD1.2 as the new cattle reference genome and that increased assembly accuracy will benefit future research on this species.
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“Traditional genomic studies have heavily relied on a single linear reference genome [180], such as ARS-UCD1.2, which is derived from an individual of a specific taurine breed, Hereford [181] (Table 3).”
From The Genomic Landscape of Cattle: Domestication, Dispersal, and Adaptive Evolution (2026) · cites this paper as [181]
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Cites
Basic local alignment search tool
Altschul, S. F., Gish, W., Miller, W., Myers, E. W., & Lipman, D. J. (1990) · Journal of Molecular Biology · doi:10.1006/jmbi.1990.9999 · Cited by 98,669
tRNAscan-SE: A Program for Improved Detection of Transfer RNA Genes in Genomic Sequence
Lowe, T. M., & Eddy, S. R. (1997) · Nucleic Acids Research · doi:10.1093/nar/25.5.955 · Cited by 11,200
Aligning sequence reads, clone sequences and assembly contigs with BWA-MEMPreprint
Li, H. (2013) · arXiv (Cornell University) · doi:10.48550/arxiv.1303.3997 · Cited by 10,846
Walker, B. J., Abeel, T., Shea, T., Priest, M., Abouelliel, A., Sakthikumar, S., Cuomo, C. A., Zeng, Q., Wortman, J. R., Young, S., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0112963 · Cited by 9,130
<tt>BLAT</tt> —The <tt>BLAST</tt> -Like Alignment Tool
Kent, W. J. (2002) · Genome Research · doi:10.1101/gr.229202 · Cited by 8,480
Canu: scalable and accurate long-read assembly via adaptive k -mer weighting and repeat separationPreprint
Koren, S., Walenz, B. P., Berlin, K., Miller, J. R., Bergman, N. H., & Phillippy, A. M. (2017) · Genome Research · doi:10.1101/gr.215087.116 · Cited by 7,260
Versatile and open software for comparing large genomes
Kurtz, S., Phillippy, A., Delcher, A. L., Smoot, M., Shumway, M., Antonescu, C., & Salzberg, S. L. (2004) · Genome Biology · doi:10.1186/gb-2004-5-2-r12 · Cited by 5,254
Aligning sequence reads, clone sequences and assembly con*gs with BWA-MEMPreprint
Li, H. (2014) · arXiv (Cornell University) · doi:10.6084/m9.figshare.963153.v1 · Cited by 5,155
Nonhybrid, finished microbial genome assemblies from long-read SMRT sequencing data
Chin, C.-S., Alexander, D. H., Marks, P., Klammer, A. A., Drake, J., Heiner, C., Clum, A., Copeland, A., Huddleston, J., Eichler, E. E., et al. (2013) · Nature Methods · doi:10.1038/nmeth.2474 · Cited by 4,029
Haplotype-based variant detection from short-read sequencing
Garrison, E., & Marth, G. (2012) · arXiv · doi:10.48550/arxiv.1207.3907 · Cited by 3,700
Research works printed but not linked: 1
- Null, 2019, Using the ARS-UCD1.2 reference genome in U.S. evaluations, Interbull Bull, 55, 30
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Zhou, Y., Yang, L., Han, X., Han, J., Hu, Y., Li, F., Xia, H., Peng, L., Boschiero, C., Rosen, B. D., et al. (2022) · Genome Research · doi:10.1101/gr.276550.122 · Cited by 89
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Leonard, A. S., Crysnanto, D., Fang, Z., Heaton, M. P., Ley, B. L. V., Herrera, C., Bollwein, H., Bickhart, D. M., Kuhn, K. L., Smith, T. P. L., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-30680-2 · Cited by 78
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Cai, Z., Iso‐Touru, T., Sanchez, M.-P., Kadri, N. K., Bouwman, A. C., Chitneedi, P., MacLeod, I. M., Jagt, C. J. V., Chamberlain, A. J., Gredler, B., et al. (2024) · Genetics Selection Evolution · doi:10.1186/s12711-024-00920-8 · Cited by 42
Paguem, A., Abanda, B., Achukwi, M. D., Baskaran, P., Czemmel, S., Renz, A., & Eisenbarth, A. (2020) · BMC Genetics · doi:10.1186/s12863-020-00869-9 · Cited by 28
Hiltpold, M., Kadri, N. K., Janett, F., Witschi, U., Schmitz‐Hsu, F., & Pausch, H. (2021) · BMC Genomics · doi:10.1186/s12864-021-07523-3 · Cited by 28
Neumann, G. B., Korkuć, P., Arends, D., Wolf, M. J., May, K., König, S., & Brockmann, G. A. (2023) · Frontiers in Genetics · doi:10.3389/fgene.2022.993959 · Cited by 28
Bickhart, D. M., McClure, J. C., Schnabel, R. D., Rosen, B. D., Medrano, J. F. F., & Smith, T. P. L. (2020) · Journal of Dairy Science · doi:10.3168/jds.2019-17693 · Cited by 28
Variations in antibody repertoires correlate with vaccine responsesPreprint
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Candidate genes for mastitis resistance in dairy cattle: a data integration approach
Brajnik, Z., & Ogorevc, J. (2023) · Journal of Animal Science and Biotechnology/Journal of animal science and biotechnology · doi:10.1186/s40104-022-00821-0 · Cited by 31
Genome-wide association study for carcass weight in pasture-finished beef cattle in Hawai’i
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Zhao, P., Wang, D., Teng, J., Yang, C., Zhang, X., Wei, X., & Zhang, Q. (2023) · Journal of Animal Science and Biotechnology/Journal of animal science and biotechnology · doi:10.1186/s40104-023-00880-x · Cited by 28
van Staaveren, N., de Oliveira, H. R., Houlahan, K., Chud, T. C. S., Júnior, G. A. O., Hailemariam, D., Kistemaker, G. J., Miglior, F., Plastow, G. S., Schenkel, F. S., et al. (2023) · Journal of Dairy Science · doi:10.3168/jds.2022-22951 · Cited by 27
Duarte, J. L. G., Yuan, C., Gori, A.-S., Moreira, G. C. M., Takeda, H., Coppieters, W. R., Charlier, C., Georges, M., & Druet, T. (2023) · Genetics Selection Evolution · doi:10.1186/s12711-023-00857-4 · Cited by 30
Integrative genomics of the mammalian alveolar macrophage response to intracellular mycobacteria
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Genome-Wide Association Analyses of Fertility Traits in Beef Heifers
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An Epigenetic Aging Clock for Cattle Using Portable Sequencing Technology
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GWAS and genomic prediction of milk urea nitrogen in Australian and New Zealand dairy cattle
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Metadata
- Authors
- 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., Hall, R., Li, W., Rhie, A., Ghurye, J., McKay, S. D., Thibaud-Nissen, F., Hoffman, J., Murdoch, B. M., Snelling, W. M., McDaneld, T. G., Hammond, J. A., Schwartz, J. C., Nandolo, W., Hagen, D. E., Dreischer, C., Schultheiss, S. J., Schroeder, S. G., Phillippy, A. M., Cole, J. B., Van Tassell, C. P., Liu, G., Smith, T. P. L., & Medrano, J. F.
- Affiliations
- Agricultural Research Service (US)
- University of Missouri (US)
- National Institutes of Health (US)
- Pacific Biosciences (United States) (US)
- The University of Adelaide (AU)
- Johns Hopkins University (US)
- Livestock Improvement Corporation (NZ)
- University of Maryland, College Park (US)
- University of Vermont (US)
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health , Bethesda, MD 20894,
- University of Idaho (US)
- The Pirbright Institute (GB)
- Lilongwe University of Agriculture and Natural Resources (MW)
- Oklahoma State University (US)
- Computomics GmbH , Christophstr. 32, 72072 Tübingen,
- USDA-ARS, Beltsville, MD, 20705-2350 , Animal Genomics and Improvement Laboratory , USDA-ARS, 10300 Baltimore Ave, Beltsville, MD 20705-2350,
- University of California, Davis (US)
- Corresponding author
- Rosen, Benjamin D
- Smith, Timothy P L
- ORCID
- Rosen, Benjamin D
- Bickhart, Derek M
- Schnabel, Robert D
- Koren, Sergey
- Elsik, Christine G
- Tseng, Elizabeth
- Rowan, Troy N
- Low, Wai Y
- Zimin, Aleksey
- Couldrey, Christine
- Hall, Richard
- Li, Wenli
- Rhie, Arang
- Ghurye, Jay
- McKay, Stephanie D
- Murdoch, Brenda M
- Snelling, Warren M
- McDaneld, Tara G
- Hammond, John A
- Schwartz, John C
- Nandolo, Wilson
- Hagen, Darren E
- Schultheiss, Sebastian J
- Schroeder, Steven G
- Phillippy, Adam M
- Cole, John B
- Van Tassell, Curtis P
- Liu, George
- Smith, Timothy P L
- Medrano, Juan F
- Venue
- GigaScience
- Publisher
- Oxford University Press (OUP)
- Published
- 2020-03-01
- Volume
- 9
- Issue
- 3
- ISSN
- 2047-217X (ISSN-L)
- PMC
- PMC7081964
- OpenAlex
- W3011183076
- Cited by
- 802
- References
- 35
- Citations by year
- 2026: 84 · 2025: 102 · 2024: 165 · 2023: 145 · 2022: 125 · 2021: 120 · 2020: 59
- FWCI
- 37.47
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- GigaScience (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion, cc-by)
- Funders
- U.S. Department of Agriculture (8042-31000-001-00-D, 8042-31000-002-00-D, 5090-31000-026-00-D, 3040-31000-100-00-D)
- National Institute of Food and Agriculture (5090-31000-026-06-I, 2016-68004-24827, 2013-67015-21202, MO-HAAS0001, 2015-67015-23183)
- U.S. National Library of Medicine
- National Institutes of Health
- Biotechnology and Biological Sciences Research Council (BB/M027155/1, BBS/E/I/00007035, BBS/E/I/00007038, BBS/E/I/00007039)
- National Human Genome Research Institute
- Korea Health Industry Development Institute
- Ministry of Health (HI17C2098)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic and phenotypic traits in livestock
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomic variations and chromosomal abnormalities
- Keywords
- cattle, de novo genome assembly, single-molecule sequencing, genome annotation, cattle genomics
- MeSH terms
- RNA-Seq, Animals, Breeding, Cattle, Polymorphism, Genetic, Reference Standards, Genome, Sequence Analysis, DNA, Genomics
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