Evidence map›Paper›PMID 26558535›Full record

ArticleBMC bioinformatics2015

A large scale prediction of bacteriocin gene blocks suggests a wide functional spectrum for bacteriocins.

James T Morton, Stefan D Freed, Shaun W Lee, Iddo Friedberg

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

33 citing papers in PubMed, 85 citations in OpenAlex.

  1. Article
  2. Article
  3. Bacteriocins fromFrontiers in microbiology · 2026
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  4. Article
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  7. Article
  8. Article
  9. In Silico Screening of Bacteriocin Gene Clusters within a Set of MarineInternational journal of molecular sciences · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Review
  16. What Is the Microbiome? A Description of a Social Network.Clinics in colon and rectal surgery · 2023
    Review
  17. Article
  18. Article
  19. Review
  20. Antimicrobial Potential of the GeneraAntibiotics (Basel, Switzerland) · 2022
    Review
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

4 authors at 2 institutions in 1 country.

James T MortonDepartment of Computer Science and Software engineering, Miami University, Oxford, OH, USA. jamietmorton@gmail.com.
Stefan D FreedEck Institute for Global Health, Department of Biological Sciences, University of Notre Dame, South Bend, IN, USA. stefan_freed@nd.edu.
Shaun W LeeEck Institute for Global Health, Department of Biological Sciences, University of Notre Dame, South Bend, IN, USA. shaun_lee@nd.edu.
Iddo FriedbergDepartment of Computer Science and Software engineering, Miami University, Oxford, OH, USA. idoerg@iastate.edu.
Miami University · USUniversity of Notre Dame · US

Funding

Chemistry-Biochemistry-Biology Training Program at Notre DameT32GM075762 · NIGMS · UNIVERSITY OF NOTRE DAME · PI CHANG, MAYLAND F, MOBASHERY, SHAHRIAR · 2007 to 2021
$3.7M
Design and Use of Novel BacteriocinsDP2OD008468 · OD · UNIVERSITY OF NOTRE DAME · PI LEE, SHAUN · 2011 to 2011
$2.3M
NIGMS NIH HHS T32 GM075762NIGMS NIH HHS T32GM075762NIH HHS 1DP2OD008468-01NIH HHS DP2 OD008468
6 · The paper itself

Abstract

backgroundBacteriocins are peptide-derived molecules produced by bacteria, whose recently-discovered functions include virulence factors and signaling molecules as well as their better known roles as antibiotics. To date, close to five hundred bacteriocins have been identified and classified. Recent discoveries have shown that bacteriocins are highly diverse and widely distributed among bacterial species. Given the heterogeneity of bacteriocin compounds, many tools struggle with identifying novel bacteriocins due to their vast sequence and structural diversity. Many bacteriocins undergo post-translational processing or modifications necessary for the biosynthesis of the final mature form. Enzymatic modification of bacteriocins as well as their export is achieved by proteins whose genes are often located in a discrete gene cluster proximal to the bacteriocin precursor gene, referred to as context genes in this study. Although bacteriocins themselves are structurally diverse, context genes have been shown to be largely conserved across unrelated species.

methodsUsing this knowledge, we set out to identify new candidates for context genes which may clarify how bacteriocins are synthesized, and identify new candidates for bacteriocins that bear no sequence similarity to known toxins. To achieve these goals, we have developed a software tool, Bacteriocin Operon and gene block Associator (BOA) that can identify homologous bacteriocin associated gene blocks and predict novel ones. BOA generates profile Hidden Markov Models from the clusters of bacteriocin context genes, and uses them to identify novel bacteriocin gene blocks and operons. RESULTS AND

conclusionsWe provide a novel dataset of predicted bacteriocins and context genes. We also discover that several phyla have a strong preference for bacteriocin genes, suggesting distinct functions for this group of molecules. SOFTWARE AVAILABILITY: https://github.com/idoerg/BOA.

Indexed as

Genome, ArchaealGenome, BacterialSoftwareAnti-Bacterial AgentsBacteriocinsChromosome MappingOperonAnti-Bacterial AgentsBacteriocins

Identifiers

PMID26558535
PMCPMC4642626
OpenAlexW2172592212

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.