Evidence map›Paper›PMID 31375809›Full record

ArticleNature biotechnology2019

Compendium of 4,941 rumen metagenome-assembled genomes for rumen microbiome biology and enzyme discovery.

Robert D Stewart, Marc D Auffret, Amanda Warr, Alan W Walker, Rainer Roehe, Mick Watson

Open access · hybridAbstract read
In one paragraph

Article in Nature biotechnology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 336 papers.

0numbers the graph read from it
0cells of the map it votes in
336citing papers in PubMed
96.5field-weighted citation impact, top 1% of its field
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

336 citing papers in PubMed, 635 citations in OpenAlex.

  1. Article
  2. CAMEO: a CAZyme mapping engine optimized for HUMAnN.Microbiology resource announcements · 2026
    Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Fecal Material of Captive Wild Animals as Source of CAZymes With Application Potential.Chembiochem : a European journal of chemical biology · 2026
    Article
  17. Article
  18. Review
  19. Article
  20. Article

276 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

6 authors at 3 institutions in 1 country.

Robert D StewartThe Roslin Institute and the Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush, UK.
Marc D AuffretScotland's Rural College, Edinburgh, UK.ORCID http://orcid.org/0000-0002-2321-8219
Amanda WarrThe Roslin Institute and the Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush, UK.
Alan W WalkerThe Rowett Institute, University of Aberdeen, Aberdeen, UK.ORCID http://orcid.org/0000-0001-5099-8495
Rainer RoeheScotland's Rural College, Edinburgh, UK.ORCID http://orcid.org/0000-0002-4880-3756
Mick WatsonThe Roslin Institute and the Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush, UK. mick.watson@roslin.ed.ac.uk.ORCID http://orcid.org/0000-0003-4211-0358
Roslin Institute · GBScotland's Rural College · GBUniversity of Aberdeen · GB

Funding

Biotechnology and Biological Sciences Research Council
6 · The paper itself

Abstract

Ruminants provide essential nutrition for billions of people worldwide. The rumen is a specialized stomach that is adapted to the breakdown of plant-derived complex polysaccharides. The genomes of the rumen microbiota encode thousands of enzymes adapted to digestion of the plant matter that dominates the ruminant diet. We assembled 4,941 rumen microbial metagenome-assembled genomes (MAGs) using approximately 6.5 terabases of short- and long-read sequence data from 283 ruminant cattle. We present a genome-resolved metagenomics workflow that enabled assembly of bacterial and archaeal genomes that were at least 80% complete. Of note, we obtained three single-contig, whole-chromosome assemblies of rumen bacteria, two of which represent previously unknown rumen species, assembled from long-read data. Using our rumen genome collection we predicted and annotated a large set of rumen proteins. Our set of rumen MAGs increases the rate of mapping of rumen metagenomic sequencing reads from 15% to 50-70%. These genomic and protein resources will enable a better understanding of the structure and functions of the rumen microbiota.

Indexed as

MetagenomeAnimalsArchaeaArchaeal ProteinsBacteriaBacterial ProteinsCattleDatabases, ProteinGenome, ArchaealGenome, BacterialMetagenomicsPhylogenyRumenSheepArchaeal ProteinsBacterial Proteins

Identifiers

PMID31375809
PMCPMC6785717
OpenAlexW2966589940

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.