Evidence map›Paper›PMID 26420832›Full record

ArticleNucleic acids research2015

The players may change but the game remains: network analyses of ruminal microbiomes suggest taxonomic differences mask functional similarity.

Tasia M Taxis, Sara Wolff, Sarah J Gregg, Nicholas O Minton, Chiqian Zhang, Jingjing Dai, Robert D Schnabel, Jeremy F Taylor, Monty S Kerley, J Chris Pires and 2 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed
–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

73 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Gut Morphological Structure-Microbial Characteristics inAnimals : an open access journal from MDPI · 2025
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Gut Microbiota of Ruminants and Monogastric Livestock: An Overview.Animals : an open access journal from MDPI · 2025
    Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Effects of diets for three growing stages by rumen inocula donors onJournal of animal science and technology · 2024
    Article
  20. Article

13 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

12 authors.

Tasia M TaxisDivision of Animal Sciences, University of Missouri, Columbia, MO 65211, USA.
Sara WolffDivision of Animal Sciences, University of Missouri, Columbia, MO 65211, USA.
Sarah J GreggDivision of Animal Sciences, University of Missouri, Columbia, MO 65211, USA.
Nicholas O MintonDivision of Animal Sciences, University of Missouri, Columbia, MO 65211, USA.
Chiqian ZhangDepartment of Civil & Environmental Engineering, University of Missouri, Columbia, MO 65211, USA.
Jingjing DaiDepartment of Civil & Environmental Engineering, University of Missouri, Columbia, MO 65211, USA.
Robert D SchnabelDivision of Animal Sciences, University of Missouri, Columbia, MO 65211, USA Informatics Institute, University of Missouri, Columbia, MO 65211, USA.
Jeremy F TaylorDivision of Animal Sciences, University of Missouri, Columbia, MO 65211, USA.
Monty S KerleyDivision of Animal Sciences, University of Missouri, Columbia, MO 65211, USA.
J Chris PiresInformatics Institute, University of Missouri, Columbia, MO 65211, USA Division of Biological Sciences, University of Missouri, Columbia, MO 65211, USA.
William R LambersonDivision of Animal Sciences, University of Missouri, Columbia, MO 65211, USA.
Gavin C ConantDivision of Animal Sciences, University of Missouri, Columbia, MO 65211, USA Informatics Institute, University of Missouri, Columbia, MO 65211, USA conantg@missouri.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

By mapping translated metagenomic reads to a microbial metabolic network, we show that ruminal ecosystems that are rather dissimilar in their taxonomy can be considerably more similar at the metabolic network level. Using a new network bi-partition approach for linking the microbial network to a bovine metabolic network, we observe that these ruminal metabolic networks exhibit properties consistent with distinct metabolic communities producing similar outputs from common inputs. For instance, the closer in network space that a microbial reaction is to a reaction found in the host, the lower will be the variability of its enzyme copy number across hosts. Similarly, these microbial enzymes that are nearby to host nodes are also higher in copy number than are more distant enzymes. Collectively, these results demonstrate a widely expected pattern that, to our knowledge, has not been explicitly demonstrated in microbial communities: namely that there can exist different community metabolic networks that have the same metabolic inputs and outputs but differ in their internal structure.

Indexed as

MicrobiotaAnimalsCattleDNA, RibosomalEnzymesFatty Acids, VolatileMaleMetabolic Networks and PathwaysMetagenomeMetagenomicsPhylogenyRNA, Ribosomal, 16SRumenDNA, RibosomalEnzymesFatty Acids, VolatileRNA, Ribosomal, 16S

Identifiers

PMID26420832
PMCPMC4787786

What OpenQuestion holds

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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.