Evidence map›Paper›PMID 32236097›Full record

ArticlePLoS computational biology2020

A systematic pipeline for classifying bacterial operons reveals the evolutionary landscape of biofilm machineries.

Cedoljub Bundalovic-Torma, Gregory B Whitfield, Lindsey S Marmont, P Lynne Howell, John Parkinson

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

32 citing papers in PubMed, 49 citations in OpenAlex.

  1. ImagingmBio · 2026
    Article
  2. Article
  3. Bacillus cereus PelAThe Journal of biological chemistry · 2026
    Article
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  7. Review
  8. Pato: prediction of probiotic bacteria using metabolic features.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2025
    Article
  9. Article
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  12. Expansion of the diversity of dispersin scaffolds.Acta crystallographica. Section D, Structural biology · 2025
    Article
  13. Review
  14. Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. RNA biology · 2023
    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

5 authors at 1 institution in 1 country.

Cedoljub Bundalovic-TormaProgram in Molecular Medicine, The Hospital for Sick Children, Toronto, Ontario, Canada.ORCID 0000-0001-8741-4457
Gregory B WhitfieldProgram in Molecular Medicine, The Hospital for Sick Children, Toronto, Ontario, Canada.
Lindsey S MarmontProgram in Molecular Medicine, The Hospital for Sick Children, Toronto, Ontario, Canada.
P Lynne HowellProgram in Molecular Medicine, The Hospital for Sick Children, Toronto, Ontario, Canada.ORCID 0000-0002-2776-062X
John ParkinsonProgram in Molecular Medicine, The Hospital for Sick Children, Toronto, Ontario, Canada.ORCID 0000-0001-9815-1189
University of Toronto · CA

Funding

Metabolic network reconstruction in Filaria-Wolbachia symbiosisR21AI126466 · NIAID · NEW YORK UNIVERSITY · PI GHEDIN, ELODIE, PARKINSON, JOHN · 2016 to 2017
$377k
NIAID NIH HHS R21 AI126466
6 · The paper itself

Abstract

In bacteria functionally related genes comprising metabolic pathways and protein complexes are frequently encoded in operons and are widely conserved across phylogenetically diverse species. The evolution of these operon-encoded processes is affected by diverse mechanisms such as gene duplication, loss, rearrangement, and horizontal transfer. These mechanisms can result in functional diversification, increasing the potential evolution of novel biological pathways, and enabling pre-existing pathways to adapt to the requirements of particular environments. Despite the fundamental importance that these mechanisms play in bacterial environmental adaptation, a systematic approach for studying the evolution of operon organization is lacking. Herein, we present a novel method to study the evolution of operons based on phylogenetic clustering of operon-encoded protein families and genomic-proximity network visualizations of operon architectures. We applied this approach to study the evolution of the synthase dependent exopolysaccharide (EPS) biosynthetic systems: cellulose, acetylated cellulose, poly-β-1,6-N-acetyl-D-glucosamine (PNAG), Pel, and alginate. These polymers have important roles in biofilm formation, antibiotic tolerance, and as virulence factors in opportunistic pathogens. Our approach revealed the complex evolutionary landscape of EPS machineries, and enabled operons to be classified into evolutionarily distinct lineages. Cellulose operons show phyla-specific operon lineages resulting from gene loss, rearrangement, and the acquisition of accessory loci, and the occurrence of whole-operon duplications arising through horizonal gene transfer. Our evolution-based classification also distinguishes between PNAG production from Gram-negative and Gram-positive bacteria on the basis of structural and functional evolution of the acetylation modification domains shared by PgaB and IcaB loci, respectively. We also predict several pel-like operon lineages in Gram-positive bacteria and demonstrate in our companion paper (Whitfield et al PLoS Pathogens, in press) that Bacillus cereus produces a Pel-dependent biofilm that is regulated by cyclic-3',5'-dimeric guanosine monophosphate (c-di-GMP).

Indexed as

Bacterial ProteinsBiofilmsBiological EvolutionComputational BiologyEvolution, MolecularGene DuplicationOperonPhylogenyVirulence FactorsBacterial ProteinsVirulence Factors

Identifiers

PMID32236097
PMCPMC7112194
OpenAlexW3014662443

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.