Evidence map›Paper›PMID 32191811›Full record

ArticleGigaScience2020

De novo assembly of the cattle reference genome with single-molecule sequencing.

Benjamin D Rosen, Derek M Bickhart, Robert D Schnabel, Sergey Koren, Christine G Elsik, Elizabeth Tseng, Troy N Rowan, Wai Y Low, Aleksey Zimin, Christine Couldrey and 23 more

Abstract read
In one paragraph

Article in GigaScience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 419 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
419citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

419 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Better Multi-Breed Genomic Predictions for Tropical Bull Fertility Using a Breed-Adjusted Genomic Relationship Matrix.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2026
    Article
  7. Article
  8. Unravelling the Genetic Structure of Local and Mainstream Red-Pied Cattle Breeds Using Genomics and Extended Pedigree Analysis.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2026
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. NovelVeterinary and animal science · 2026
    Article

359 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

33 authors.

Benjamin D RosenUSDA-ARS, Beltsville, MD, 20705-2350 , Animal Genomics and Improvement Laboratory, USDA-ARS, 10300 Baltimore Ave, Beltsville, MD 20705-2350, USA.
Derek M BickhartDairy Forage Research Center, USDA-ARS, 1925 Linden Drive, Madison, WI, 53706, USA.
Robert D SchnabelDivision of Animal Sciences, University of Missouri, 162 Animal Science Research Center, Columbia, MO 65211, USA.
Sergey KorenGenome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, 9000 Rockville Pike, Bethesda, MD 20892, USA.
Christine G ElsikDivision of Animal Sciences, University of Missouri, 162 Animal Science Research Center, Columbia, MO 65211, USA.
Elizabeth TsengPacific Biosciences, 1305 O'Brien Drive, Menlo Park, CA 94025, USA.
Troy N RowanDivision of Animal Sciences, University of Missouri, 162 Animal Science Research Center, Columbia, MO 65211, USA.
Wai Y LowThe Davies Research Centre, School of Animal and Veterinary Sciences, University of Adelaide, Roseworthy, SA 5371, Australia.
Aleksey ZiminJohns Hopkins University, Welch Library of Medicine, Ste 105, 1900 E. Monument St., Baltimore, MD 21205, USA.
Christine CouldreyLivestock Improvement Corporation, Private Bag 3016, Hamilton 3240, New Zealand.
Richard HallPacific Biosciences, 1305 O'Brien Drive, Menlo Park, CA 94025, USA.
Wenli LiDairy Forage Research Center, USDA-ARS, 1925 Linden Drive, Madison, WI, 53706, USA.
Arang RhieGenome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, 9000 Rockville Pike, Bethesda, MD 20892, USA.
Jay GhuryeDepartment of Computer Science, University of Maryland, 8125 Paint Branch Drive, College Park, MD 20742 USA.
Stephanie D McKayDepartment of Animal and Veterinary Sciences, University of Vermont, Burlington, VT 05405, USA.
Françoise Thibaud-NissenNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA.
Jinna HoffmanNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA.
Brenda M MurdochDepartment of Animal and Veterinary Science, University of Idaho, 875 Perimeter Drive MS 2330, Moscow, ID 83844-2330, USA.
Warren M SnellingU.S. Meat Animal Research Center, USDA-ARS, 844 Road 313, Clay Center, NE 68933, USA.
Tara G McDaneldU.S. Meat Animal Research Center, USDA-ARS, 844 Road 313, Clay Center, NE 68933, USA.
John A HammondThe Pirbright Institute, Pirbright, Woking, Surrey, UK.
John C SchwartzThe Pirbright Institute, Pirbright, Woking, Surrey, UK.
Wilson NandoloDivision of Livestock Sciences, University of Natural Resources and Life Sciences, Gregor Mendel str. 33, A-1180, Vienna, Austria.
Darren E HagenDepartment of Animal and Food Sciences, Oklahoma State University, 101 Animal Science Building, Stillwater, OK 74078, USA.
Christian DreischerComputomics GmbH, Christophstr. 32, 72072 Tübingen, Germany.
Sebastian J SchultheissComputomics GmbH, Christophstr. 32, 72072 Tübingen, Germany.
Steven G SchroederUSDA-ARS, Beltsville, MD, 20705-2350 , Animal Genomics and Improvement Laboratory, USDA-ARS, 10300 Baltimore Ave, Beltsville, MD 20705-2350, USA.
Adam M PhillippyGenome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, 9000 Rockville Pike, Bethesda, MD 20892, USA.
John B ColeUSDA-ARS, Beltsville, MD, 20705-2350 , Animal Genomics and Improvement Laboratory, USDA-ARS, 10300 Baltimore Ave, Beltsville, MD 20705-2350, USA.
Curtis P Van TassellUSDA-ARS, Beltsville, MD, 20705-2350 , Animal Genomics and Improvement Laboratory, USDA-ARS, 10300 Baltimore Ave, Beltsville, MD 20705-2350, USA.
George LiuUSDA-ARS, Beltsville, MD, 20705-2350 , Animal Genomics and Improvement Laboratory, USDA-ARS, 10300 Baltimore Ave, Beltsville, MD 20705-2350, USA.
Timothy P L SmithU.S. Meat Animal Research Center, USDA-ARS, 844 Road 313, Clay Center, NE 68933, USA.
Juan F MedranoDepartment of Animal Science, University of California, Davis, One Shields Avenue, Davis, CA 95616, USA.

Funding

National Biomedical Information ServicesZIHLM200888 · NLM · NATIONAL LIBRARY OF MEDICINE · PI PALTOO, DINA · 2009 to 2025
$5200.7M
Single-molecule sequence assembly and analysisZIAHG200398 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI PHILLIPPY, ADAM · 2016 to 2025
$15.9M
Linking Fertility-Associated Gene Polymorphisms to Aberrant Sperm PhenotypesR01HD084353 · NICHD · UNIVERSITY OF MISSOURI-COLUMBIA · PI SUTOVSKY, PETER SUTOVSKY · 2016 to 2020
$1.7M
Biotechnology and Biological Sciences Research Council BB/M027155/1Biotechnology and Biological Sciences Research Council BBS/E/I/00007035Biotechnology and Biological Sciences Research Council BBS/E/I/00007038Biotechnology and Biological Sciences Research Council BBS/E/I/00007039NICHD NIH HHS R01 HD084353
6 · The paper itself

Abstract

backgroundMajor 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.

resultsWe 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.

conclusionsWe 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.

Indexed as

GenomePolymorphism, GeneticAnimalsBreedingCattleGenomicsReference StandardsRNA-SeqSequence Analysis, DNAbovine genomecattleHerefordreference assembly

Identifiers

PMID32191811
PMCPMC7081964

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.