Cited by 3,097Genomics and Phylogenetic StudiesChromosomal and Genetic VariationsGenomic variations and chromosomal abnormalities

Towards complete and error-free genome assemblies of all vertebrate species

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Rhie, Arang, McCarthy, Shane A., Fedrigo, Olivier, Damas, Joana, Formenti, Giulio, Koren, Sergey, Uliano-Silva, Marcela, Chow, William +119 more·2021·Nature

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Abstract

High-quality and complete reference genome assemblies are fundamental for the application of genomics to biology, disease, and biodiversity conservation. However, such assemblies are available for only a few non-microbial species 1–4 . To address this issue, the international Genome 10K (G10K) consortium 5,6 has worked over a five-year period to evaluate and develop cost-effective methods for assembling highly accurate and nearly complete reference genomes. Here we present lessons learned from generating assemblies for 16 species that represent six major vertebrate lineages. We confirm that long-read sequencing technologies are essential for maximizing genome quality, and that unresolved complex repeats and haplotype heterozygosity are major sources of assembly error when not handled correctly. Our assemblies correct substantial errors, add missing sequence in some of the best historical reference genomes, and reveal biological discoveries. These include the identification of many false gene duplications, increases in gene sizes, chromosome rearrangements that are specific to lineages, a repeated independent chromosome breakpoint in bat genomes, and a canonical GC-rich pattern in protein-coding genes and their regulatory regions. Adopting these lessons, we have embarked on the Vertebrate Genomes Project (VGP), an international effort to generate high-quality, complete reference genomes for all of the roughly 70,000 extant vertebrate species and to help to enable a new era of discovery across the life sciences.

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  • Thousands of newly sequenced chromosome-scale genomes are rapidly filling phylogenetic gaps of animal diversity.

    “thousands of newly sequenced chromosome-scale genomes are rapidly filling phylogenetic gaps of animal diversity”

    From Topological Approaches in Animal Comparative Genomics (2026) · cites this paper as [1]

    The Vertebrate Genomes Project section describes a plan to sequence representatives across vertebrate orders, families and genera, supporting the idea of filling phylogenetic gaps. But the Abstract reports assemblies for 16 species, while the thousands of additional genomes are future goals—not newly sequenced genomes already filling gaps across animal diversity. Page numbers are unavailable in our copy. (LLM, conf=0.85)

    Experimental — accuracy not yet measured
  • Genome sequencing and assembly have become increasingly affordable and computationally tractable thanks to long-read sequencing technologies, DNA proximity ligation sequencing techniques, and genome sequencing consortia.

    “Genome sequencing and assembly have become increasingly affordable and computationally tractable thanks to the development of long-read sequencing technologies like the Pacific Biosciences and Oxford Nanopore platforms (52); the development of DNA proximity ligation sequencing techniques, like Hi-C, for genome scaffolding (53–55); and the efforts of genome sequencing consortia (1, 2, 4, 56)”

    From Topological Approaches in Animal Comparative Genomics (2026) · cites this paper as [1]

    The Main section identifies the G10K consortium and describes its work evaluating sequencing and assembly approaches; the Vertebrate Genomes Project section describes plans to scale genome production using improved technology and computational infrastructure. The paper also says sequencing became more affordable, but it does not establish that consortium efforts themselves made sequencing and assembly more affordable or computationally tractable. The citations for long-read platforms and Hi-C are attached to other parts of the citing sentence. (LLM, conf=0.78)

    Experimental — accuracy not yet measured
  • TOGA provides a general strategy to cope with the annotation and orthology inference bottleneck.

    “With the tree of life becoming more densely populated with genomes, thanks to great efforts of large-scale projects and numerous laboratories (26–28, 39), TOGA provides a general strategy to cope with the annotation and orthology inference bottleneck.”
  • Comparative genomic analyses usually test for correlations between traits.

    “Comparative genomic analyses usually test for correlations between traits.”

    From A phylogenetic approach to comparative genomics (2025) · cites this paper as [80]

    The Methods > Curation passage describes comparative genomics used to check assembly structure, while Fig. 2 reports correlations among genome and assembly measures. Neither passage says that comparative genomic analyses usually test correlations between traits; searches for that formulation and for trait or phenotype correlations found no supporting passage in our copy. (LLM, conf=0.74)

    Experimental — accuracy not yet measured

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Rhie, A., McCarthy, S. A., Fedrigo, O., Damas, J., Formenti, G., Koren, S., Uliano-Silva, M., Chow, W., Fungtammasan, A., Kim, J., Lee, C., Ko, B. J., Chaisson, M., Gedman, G. L., Cantin, L. J., Thibaud-Nissen, F., Haggerty, L., Bista, I., Smith, M., Haase, B., Mountcastle, J., Winkler, S., Paez, S., Howard, J., Vernes, S. C., Lama, T. M., Grutzner, F., Warren, W. C., Balakrishnan, C. N., Burt, D., George, J. M., Biegler, M. T., Iorns, D., Digby, A., Eason, D., Robertson, B., Edwards, T., Wilkinson, M., Turner, G., Meyer, A., Kautt, A. F., Franchini, P., Detrich, H. W., Svardal, H., Wagner, M., Naylor, G. J. P., Pippel, M., Malinsky, M., Mooney, M., Simbirsky, M., Hannigan, B. T., Pesout, T., Houck, M., Misuraca, A., Kingan, S. B., Hall, R., Kronenberg, Z., Sović, I., Dunn, C., Ning, Z., Hastie, A., Lee, J., Selvaraj, S., Green, R. E., Putnam, N. H., Gut, I., Ghurye, J., Garrison, E., Sims, Y., Collins, J., Pelan, S., Torrance, J., Tracey, A., Wood, J., Dagnew, R. E., Guan, D., London, S. E., Clayton, D. F., Mello, C. V., Friedrich, S. R., Lovell, P. V., Osipova, E., Al-Ajli, F. O., Secomandi, S., Kim, H., Theofanopoulou, C., Hiller, M., Zhou, Y., Harris, R. S., Makova, K. D., Medvedev, P., Hoffman, J., Masterson, P., Clark, K., Martin, F., Howe, K., Flicek, P., Walenz, B. P., Kwak, W., Clawson, H., Diekhans, M., Nassar, L., Paten, B., Kraus, R. H. S., Crawford, A. J., Gilbert, M. T. P., Zhang, G., Venkatesh, B., Murphy, R. W., Koepfli, K.-P., Shapiro, B., Johnson, W. E., Di Palma, F., Marques-Bonet, T., Teeling, E. C., Warnow, T., Graves, J. M., Ryder, O. A., Haussler, D., O’Brien, S. J., Korlach, J., Lewin, H. A., Howe, K., Myers, E. W., Durbin, R., Phillippy, A. M., & Jarvis, E. D.
Affiliations
  • National Institutes of Health (US)
  • University of Cambridge (GB)
  • Rockefeller University (US)
  • University of California, Davis (US)
  • Wellcome Sanger Institute (GB)
  • DNAnexus (United States) (US)
  • Seoul National University (KR)
  • University of Southern California (US)
  • European Bioinformatics Institute (GB)
  • Max Planck Institute of Molecular Cell Biology and Genetics (DE)
  • University of St Andrews (GB)
  • University of Massachusetts Amherst (US)
  • University of Missouri (US)
  • East Carolina University (US)
  • Clemson University (US)
  • Department of Conservation (NZ)
  • University of Otago (NZ)
  • University of Arizona (US)
  • Natural History Museum (GB)
  • Bangor University (GB)
  • University of Konstanz (DE)
  • Harvard University (US)
  • Northeastern University (US)
  • Naturalis Biodiversity Center (NL)
  • University of Graz (AT)
  • Florida Museum of Natural History (US)
  • Center for Systems Biology Dresden (DE)
  • University of Basel (CH)
  • University of California, Santa Cruz (US)
  • Zoological Society of San Diego (US)
  • Pacific Biosciences (United States) (US)
  • BioNano Genomics (United States) (US)
  • Arima Genomics (United States) (US)
  • Universitat Pompeu Fabra (ES)
  • Dovetail Genomics (United States) (US)
  • Harbin Institute of Technology (CN)
  • University of Chicago (US)
  • Oregon Health & Science University (US)
  • Max Planck Institute for the Physics of Complex Systems (DE)
  • Monash University Malaysia (MY)
  • University of Milan (IT)
  • Goethe University Frankfurt (DE)
  • BGI Group (China) (CN)
  • Pennsylvania State University (US)
  • Universidad de Los Andes (CO)
  • University of Copenhagen (DK)
  • Agency for Science, Technology and Research (SG)
  • Royal Ontario Museum (CA)
  • Smithsonian Conservation Biology Institute (US)
  • Howard Hughes Medical Institute (US)
  • Smithsonian Institution (US)
  • University College Dublin (IE)
  • University of Illinois Urbana-Champaign (US)
  • La Trobe University (AU)
  • ITMO University (RU)
  • Institute of the Environment (US)
Corresponding author
  • Howe, Kevin
  • Howe, Kerstin
  • Myers, Eugene W.
  • Durbin, Richard
  • Phillippy, Adam M.
  • Jarvis, Erich D.
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Nature
Published
2021-04-28
Volume
592
Issue
7856
Pages
737-746
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  • 0028-0836 (ISSN-L)
  • 1476-4687
OpenAlex
W3159728495
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3,097
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  • National Science Foundation (1457541, 0132032, 1458652, 1444167, 1456612)
  • Villum Fonden (00025900)
  • Wellcome Trust (R01HG010485, 108749/Z/15/Z, WT207492, 207492/Z/17/Z, 207492/A/17/Z, WT206194, WT108749, WT218328/B/19/Z, /Z/15/Z, WT108749/Z/15/Z, 108749)
  • Oxford Nanopore Technologies
  • European Molecular Biology Laboratory
  • UK Research and Innovation (MR/T021985/1)
  • Centres de Recerca de Catalunya (GRC 2017 SGR 880)
  • European Commission (864203, 750747, HORIZON2020, 681396)
  • National Research Foundation (DNRF143)
  • Deutsche Forschungsgemeinschaft (418083601)
  • Danmarks Grundforskningsfond (DNRF143)
  • Monash University
  • University of Queensland
  • Irish Research Council
  • Bundesministerium für Bildung und Forschung (01IS18026C)
  • Generalitat de Catalunya (2017-SGR, BFU2017-86471-P, CEX2018-000792-M, GRC 2017 SGR 880, 864203, 681396)
  • Hessisches Ministerium für Wissenschaft und Kunst
  • Korea Health Industry Development Institute (HI17C2098)
  • Max-Planck-Gesellschaft (BFU2017-86471-P)
  • Monash University Malaysia
  • Korea Institute of Marine Science and Technology promotion (20180430)
  • Leibniz-Institut für Zoo- und Wildtierforschung
  • National Institutes of Health (WT108749/Z/15/Z)
  • Directorate for Biological Sciences (1458652, 1456612, 1457541)
  • Directorate for Geosciences (2324998, 1955368, 1444167, 0132032)
  • Biotechnology and Biological Sciences Research Council (BBS/E/T/000PR9817, BBS/E/T/000PR9818, BBS/E/T/000PR9819)
  • Australian Research Council (BFU2017-86471-P, 681396, CEX2018-000792-M, GRC 2017 SGR 880, 864203)
  • Leibniz-Gemeinschaft
  • Agencia Estatal de Investigación (864203, 681396, #CEX2018-000792-M, GRC 2017 SGR 880, BFU2017-86471-P)
  • National Key Research and Development Program of China (2017YFC0907503, 2017YFC1201201, 2018YFC0910504)
  • Biomedical Research Council
  • National Human Genome Research Institute (R44HG008118, U41HG002371, R01HG010485, U41HG007234, U24HG007234, ZIAHG200398)
  • National Institute on Deafness and Other Communication Disorders (R21DC014432, DC014432)
  • National Institute of General Medical Sciences (R01GM130691)
  • U.S. National Library of Medicine (ZIHLM200888)
  • Walter Reed Army Institute of Research
  • FP7 Ideas: European Research Council (311000)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
  • Life Sciences › Agricultural and Biological Sciences › Plant Science › Chromosomal and Genetic Variations
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomic variations and chromosomal abnormalities
Keywords
long-read sequencing, gene duplication, chromosomal rearrangements, bat genome, reference genome
MeSH terms
Animals, Birds, Haplotypes, Sex Chromosomes, Vertebrates, Gene Library, Sequence Alignment, Genome, Sequence Analysis, DNA, Genomics, Genome, Mitochondrial, Molecular Sequence Annotation, High-Throughput Nucleotide Sequencing, Genome Size

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 ›

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