Evidence map›Paper›PMID 36197097›Full record

ArticlemSystems2022

Classifying Interactions in a Synthetic Bacterial Community Is Hindered by Inhibitory Growth Medium.

Andrea R Dos Santos, Rita Di Martino, Samuele E A Testa, Sara Mitri

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in mSystems, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Cross-feeding enables robust coexistence between four bacterial species.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Article
  3. iScience · 2025
    Article
  4. Article
  5. Review
  6. 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

4 authors at 2 institutions in 1 country.

Andrea R Dos SantosDepartment of Fundamental Microbiology, University of Lausannegrid.9851.5, Lausanne, Switzerland.ORCID 0000-0002-6125-6902
Rita Di MartinoDepartment of Fundamental Microbiology, University of Lausannegrid.9851.5, Lausanne, Switzerland.
Samuele E A TestaDepartment of Fundamental Microbiology, University of Lausannegrid.9851.5, Lausanne, Switzerland.
Sara MitriDepartment of Fundamental Microbiology, University of Lausannegrid.9851.5, Lausanne, Switzerland.ORCID 0000-0003-3930-5357
University of Lausanne · CHSIB Swiss Institute of Bioinformatics · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Predicting the fate of a microbial community and its member species relies on understanding the nature of their interactions. However, designing simple assays that distinguish between interaction types can be challenging. Here, we performed spent medium assays based on the predictions of a mathematical model to decipher the interactions among four bacterial species: Agrobacterium tumefaciens, Comamonas testosteroni, Microbacterium saperdae, and Ochrobactrum anthropi. While most experimental results matched model predictions, the behavior of

Indexed as

ActinomycetalesComamonas testosteroniMicrobiotaBacteriaModels, Theoreticalconsumer-resource modelcross-feedingdetoxificationexperimental designspent media

Identifiers

PMID36197097
PMCPMC9600862
OpenAlexW4302028505

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.