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

By Arang Rhie, Shane A. McCarthy, O. Fedrigo, J. Damas, G. Formenti, Sergey Koren, Marcela Uliano-Silva, W. Chow, Arkarachai Fungtammasan, Juwan Kim and 117 more. Nature, 2020

2,673 citations recorded by the source corpus.

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 species1–4. To address this issue, the international Genome 10K (G10K) consortium5,6 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 Our assemblies correct substantial errors, add missing sequence in some of the best historical reference genomes, and reveal biological discoveries.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. The Vertebrate Genome Project has used an optimized pipeline to generate high-quality genome assemblies for sixteen species (representing all major vertebrate classes), which have led to new biological insights.

Subfields: Genetics, Molecular Biology, Plant Science

View Paper: https://www.semanticscholar.org/paper/176c091c0c02eb22912d4dd1305310df34b93807

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In Genetics

  1. Adam M. Phillippy
  2. Sergey Koren
  3. Michael C. Schatz
  4. Heng Li
  5. Brian Walenz
  6. Arang Rhie
  7. Paul Flicek
  8. Daniel R. Zerbino

In Molecular Biology

  1. Heng Li
  2. Adam M. Phillippy
  3. Sergey Koren
  4. Michael C. Schatz
  5. Brian Walenz
  6. Arang Rhie
  7. Steven L. Salzberg
  8. Michael Alonge

In Plant Science

  1. Heng Li
  2. Sergey Koren
  3. Adam M. Phillippy
  4. Michael C. Schatz
  5. Brian Walenz
  6. Arang Rhie
  7. Igor V. Makunin
  8. Daniel R. Zerbino

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