Evidence map›Paper›PMID 30243514›Full record

ReviewTrends in microbiology2019

One for All, but Not All for One: Social Behavior during Bacterial Diseases.

Kimberly M Davis, Ralph R Isberg

Abstract readReview
In one paragraph

Review in Trends in microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Regulator-derived growth and fitness costs ofbioRxiv : the preprint server for biology · 2026
    Article
  2. mBio · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. International journal of molecular sciences · 2020
    Article
  10. Review
  11. Review
  12. Microbial drug resistance (Larchmont, N.Y.) · 2020
    Article
  13. ClinicalToxins · 2019
    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

2 authors.

Kimberly M DavisW. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe St., Baltimore, MD 21205, USA.
Ralph R IsbergDepartment of Molecular Biology and Microbiology, Tufts University School of Medicine, 150 Harrison Ave., Boston, MA 02111, USA. Electronic address: Ralph.Isberg@tufts.edu.

Funding

Mammalian cell collaboration with bacterial type III secretionR01AI110684 · NIAID · TUFTS UNIVERSITY BOSTON · PI ISBERG, RALPH R. · 2016 to 2020
$2.1M
NIAID NIH HHS R01 AI110684
6 · The paper itself

Abstract

It has been known for decades that individual cells within pathogenic bacterial populations have reduced antibiotic susceptibility, which is linked to decreased metabolic rates. A similar phenomenon occurs with virulence-associated proteins, as reduced expression is associated with increased fitness of individual cells. Non-producers within the population can benefit from the virulence proteins produced by others in the population without suffering a fitness cost, thus maintaining a genetically uniform population. Cooperative behavior has been reported for Salmonella and Yersinia, consistent with selection of social behavior to retain genes associated with pathogenesis; however, cooperation was unclear within Mycobacterium populations. This review focuses on these recent descriptions of cooperation, discusses the mechanisms driving heterogeneity, and evaluates the evidence that expression of virulence-associated proteins comes at a fitness cost.

Indexed as

Biological Variation, PopulationMicrobial InteractionsEnergy MetabolismGene Expression Regulation, BacterialMycobacteriumSalmonellaYersiniaextracellular pathogenssocial behaviorspatial regulationstress reponse

Identifiers

PMID30243514
PMCPMC6309469

What OpenQuestion holds

Textmetadata
LicenceTDM
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.