Evidence map›Paper›PMID 34034081›Full record

ReviewCurrent opinion in microbiology2021

Intraspecies heterogeneity in microbial interactions.

Dallas L Mould, Deborah A Hogan

Open access · greenAbstract readReview
In one paragraph

Review in Current opinion in microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 15% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. The impact ofFrontiers in bioengineering and biotechnology · 2025
    Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. Article
  12. Review
  13. Quorum sensing: cell-to-cell communication inFrontiers in microbiology · 2023
    Review
  14. Article
  15. Effects of Inoculation WithFrontiers in microbiology · 2022
    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 at 1 institution in 1 country.

Dallas L MouldGeisel School of Medicine at Dartmouth, Hanover, NH 03755, USA.
Deborah A HoganGeisel School of Medicine at Dartmouth, Hanover, NH 03755, USA. Electronic address: dhogan@dartmouth.edu.
Dartmouth College · US

Funding

Translational Research CoreP30DK117469 · NIDDK · DARTMOUTH COLLEGE · PI DEAN R MADDEN · 2018 to 2026
$13.9M
TRANSLATIONAL RESEARCH COREP30GM106394 · NIGMS · DARTMOUTH COLLEGE · PI STANTON, BRUCE A. · 2013 to 2017
$6.1M
HOST-MICROBE INTERACTIONST32AI007519 · NIAID · DARTMOUTH COLLEGE · PI DEBORAH A HOGAN · 1997 to 2026
$5.9M
NIAID NIH HHS T32 AI007519NIDDK NIH HHS P30 DK117469NIGMS NIH HHS P30 GM106394
6 · The paper itself

Abstract

Microbial interactions are increasingly recognized as an integral part of microbial physiology. Cell-cell communication mediated by quorum sensing and metabolite exchange is a formative element of microbial interactions. However, loss-of-function mutations in quorum-sensing components are common across diverse species. Furthermore, quorum sensing is modulated by small molecules and environmental conditions that may be altered in the presence of other microbial species. Recent evidence highlights how strain heterogeneity impacts microbial interactions. There is great potential for microbial interactions to act as selective pressures that influence the emergence of common mutations in quorum-sensing genes across the bacterial and fungal domains.

Indexed as

Microbial InteractionsQuorum SensingBacteriaFungi

Identifiers

PMID34034081
PMCPMC8459320
OpenAlexW3165308693

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.