Evidence map›Paper›PMID 30882997›Full record

ArticleEnvironmental microbiology2019

The regulatory network of Vibrio parahaemolyticus type VI secretion system 1.

Rotem Ben-Yaakov, Dor Salomon

Abstract read
In one paragraph

Article in Environmental microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Review
  3. The multifunctional type VI secretion system ofApplied and environmental microbiology · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Sporadic type VI secretion in seventh pandemicMicrobiology (Reading, England) · 2023
    Article
  9. Article
  10. Article
  11. Genetic Basis of High-Pressure Tolerance of aFrontiers in microbiology · 2022
    Article
  12. Article
  13. Rapid detection ofRSC advances · 2021
    Article
  14. Article
  15. Article
  16. Article
  17. Adaptations ofFrontiers in microbiology · 2021
    Review
  18. Article
  19. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Rotem Ben-YaakovDepartment of Clinical Microbiology and Immunology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Dor SalomonDepartment of Clinical Microbiology and Immunology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.ORCID 0000-0002-2009-9453

Funding

European Research CouncilEuropean Union's Horizon 2020 research and innovation program 714224Israel Science Foundation 920/17
6 · The paper itself

Abstract

Type VI secretion systems (T6SSs) are widespread, tightly regulated, protein delivery apparatuses used by Gram-negative bacteria to outcompete their neighbours. The pathogen, Vibrio parahaemolyticus, encodes two T6SSs. These T6SSs are differentially regulated by external conditions. T6SS1, an antibacterial system predominantly found in pathogenic isolates, requires warm marine-like conditions and surface sensing for activation. The regulatory network that governs this activation is not well understood. In this work, we devised a screening methodology that allows us to easily monitor the outcome of bacterial competitions and thus to identify mutants that are defective in T6SS1-mediated bacterial killing. The methodology, termed Bacterial Competition Fluorescence (BaCoF), relies on detection of a fluorescent signal as an indicator of the survival and growth of a T6SS-sensitive, GFP-expressing prey that has been co-cultured with mutants derived from a T6SS

Indexed as

Anti-Bacterial AgentsBacterial ProteinsDNA Transposable ElementsFluorescent DyesGene Expression Regulation, BacterialTrans-ActivatorsType VI Secretion SystemsVibrio parahaemolyticusAnti-Bacterial AgentsBacterial ProteinsDNA Transposable ElementsFluorescent DyesTrans-ActivatorsType VI Secretion Systems

Identifiers

PMID30882997
PMCPMC6618117

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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.