Evidence map›Paper›PMID 39251857›Full record

ArticleScientific reports2024

A flow cytometry method for quantitative measurement and molecular investigation of the adhesion of bacteria to yeast cells.

Marion Schiavone, Adilya Dagkesamanskaya, Pierre-Gilles Vieu, Maëlle Duperray, Valérie Duplan-Eche, Jean Marie François

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

6 authors.

Marion Schiavone *Toulouse Biotechnology Institute (TBI), UMR INSA-CNRS 5504 & INRA 792, 135 Avenue de Rangeuil, 31077, Toulouse, France.
Adilya Dagkesamanskaya *Toulouse Biotechnology Institute (TBI), UMR INSA-CNRS 5504 & INRA 792, 135 Avenue de Rangeuil, 31077, Toulouse, France.
Pierre-Gilles VieuToulouse Biotechnology Institute (TBI), UMR INSA-CNRS 5504 & INRA 792, 135 Avenue de Rangeuil, 31077, Toulouse, France.
Maëlle DuperrayToulouse Biotechnology Institute (TBI), UMR INSA-CNRS 5504 & INRA 792, 135 Avenue de Rangeuil, 31077, Toulouse, France.
Valérie Duplan-EcheInstitut Toulousain Des Maladies Infectieuses Et Inflammatoires (Infinity), CNRS U5051, INSERM U1291, University Toulouse III, 31000, Toulouse, France.
Jean Marie FrançoisToulouse Biotechnology Institute (TBI), UMR INSA-CNRS 5504 & INRA 792, 135 Avenue de Rangeuil, 31077, Toulouse, France. fran_jm@insa-toulouse.fr.

Funding

Industrial grants SAIC2016/048 & SAIC/2018/010
6 · The paper itself

Abstract

The study of microorganism interactions is important for understanding the organization and functioning of microbial consortia. Additionally, the interaction between yeast and bacteria is of interest in the field of health and nutrition area for the development of probiotics. To investigate these microbial interactions at the cellular and molecular levels, a simple, reliable, and quantitative method is proposed. We demonstrated that flow cytometry enables the measurement of interactions at a single-cell level by detecting and counting yeast cells with bound fluorescent bacteria. Imaging flow cytometry revealed that the number of bacteria attached to yeast followed a Gaussian distribution whose maximum reached 14 bacterial cells using a clinical Escherichia coli strain E22 and the laboratory yeast strain BY4741. We found that the dynamics of adhesion resemble a Langmuir adsorption model, albeit it is a rapid and almost irreversible process. This adhesion is dependent on the mannose-specific type 1 fimbriae, as E. coli mutants lacking these appendages no longer adhere to yeast. However, this type 1 fimbriae-dependent adhesion could involve additional yeast cell wall factors, since the interaction between bacteria and yeast mutants with altered mannan content remained comparable to that of wild-type yeast. In summary, flow cytometry is an appropriate method for studying bacteria-yeast adhesion, as well as for the high-throughput screening of candidate molecules likely to promote or counteract this interaction.

Indexed as

Bacterial AdhesionEscherichia coliFlow CytometrySaccharomyces cerevisiaeAdhesionBacteriaCell wallFimbriaeFlow cytometryYeast

Identifiers

PMID39251857
PMCPMC11385505

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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.