Evidence map›Paper›PMID 29545786›Full record

ArticleFrontiers in microbiology2018

Substrate Shift Reveals Roles for Members of Bacterial Consortia in Degradation of Plant Cell Wall Polymers.

Camila Carlos, Huan Fan, Cameron R Currie

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 13% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Degradation of switchgrass byFrontiers in microbiology · 2022
    Article
  12. Article
  13. Succession of Intestinal Microbial Structure of Giant Pandas (Animals : an open access journal from MDPI · 2021
    Article
  14. Article
  15. Deconstruction of Lignin: From Enzymes to Microorganisms.Molecules (Basel, Switzerland) · 2021
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

3 authors at 2 institutions in 1 country.

Camila CarlosDepartment of Bacteriology, University of Wisconsin-Madison, Madison, WI, United States.
Huan FanDepartment of Bacteriology, University of Wisconsin-Madison, Madison, WI, United States.
Cameron R CurrieDepartment of Bacteriology, University of Wisconsin-Madison, Madison, WI, United States.
University of Wisconsin–Madison · USGreat Lakes Bioenergy Research Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Deconstructing the intricate matrix of cellulose, hemicellulose, and lignin poses a major challenge in biofuel production. In diverse environments in nature, some microbial communities, are able to overcome plant biomass recalcitrance. Identifying key degraders of each component of plant cell wall can help improve biological degradation of plant feedstock. Here, we sequenced the metagenome of lignocellulose-adapted microbial consortia sub-cultured on xylan and alkali lignin media. We observed a drastic shift on community composition after sub-culturing, independently of the original consortia. Proteobacteria relative abundance increased after growth in alkali lignin medium, while Bacteroidetes abundance increased after growth in xylan medium. At the genus level,

Indexed as

ligninlignocellulosemicrobial enrichmentPseudomonasSphingobacteriumxylan

Identifiers

PMID29545786
PMCPMC5839234
OpenAlexW2794082429

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.