Evidence map›Paper›PMID 39539715›Full record

ArticleFrontiers in microbiology2024

A genomic analysis reveals the diversity of cellulosome displaying bacteria.

Christine M Minor, Allen Takayesu, Sung Min Ha, Lukasz Salwinski, Michael R Sawaya, Matteo Pellegrini, Robert T Clubb

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Visual exoproteomics ofbioRxiv : the preprint server for biology · 2026
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
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  11. Article
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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

7 authors.

Christine M Minor *Department of Chemistry and Biochemistry, University of California, Los Angeles, Los Angeles, CA, United States.
Allen Takayesu *Department of Chemistry and Biochemistry, University of California, Los Angeles, Los Angeles, CA, United States.
Sung Min HaDepartment of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, CA, United States.
Lukasz SalwinskiDepartment of Molecular, Cell, and Developmental Biology, University of California, Los Angeles, Los Angeles, CA, United States.
Michael R SawayaDepartment of Chemistry and Biochemistry, University of California, Los Angeles, Los Angeles, CA, United States.
Matteo PellegriniDepartment of Molecular, Cell, and Developmental Biology, University of California, Los Angeles, Los Angeles, CA, United States.
Robert T ClubbDepartment of Chemistry and Biochemistry, University of California, Los Angeles, Los Angeles, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Several species of cellulolytic bacteria display cellulosomes, massive multi-cellulase containing complexes that degrade lignocellulosic plant biomass (LCB). A greater understanding of cellulosome structure and enzyme content could facilitate the development of new microbial-based methods to produce renewable chemicals and materials. Methods: To identify novel cellulosome-displaying microbes we searched 305,693 sequenced bacterial genomes for genes encoding cellulosome proteins; dockerin-fused glycohydrolases (DocGHs) and cohesin domain containing scaffoldins. Results and discussion: This analysis identified 33 bacterial species with the genomic capacity to produce cellulosomes, including 10 species not previously reported to produce these complexes, such as

Indexed as

AlphaFold2biomassCellulosomecohesincomparative genomicsdockerinlignocellulose

Identifiers

PMID39539715
PMCPMC11557425

What OpenQuestion holds

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Registered trials

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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.