Evidence map›Paper›PMID 31844910›Full record

ArticleMicrobial ecology2020

Emergence of a Synergistic Diversity as a Response to Competition in Pseudomonas putida Biofilms.

Arnaud Bridier, J C Piard, R Briandet, T Bouchez

Abstract read
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In one paragraph

Article in Microbial ecology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. One gene, multiple ecological strategies: A biofilm regulator is a capacitor for sustainable diversity.Proceedings of the National Academy of Sciences of the United States of America · 2020
    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.

Arnaud BridierANSES, Fougères Laboratory, AB2R, 10B rue Claude Bourgelat, 35300, Fougères, France. arnaud.bridier@anses.fr.ORCID http://orcid.org/0000-0002-7221-8944
J C PiardInstitut Micalis, INRA, AgroParisTech, Université Paris-Saclay, 78350, Jouy-en-Josas, France.
R BriandetInstitut Micalis, INRA, AgroParisTech, Université Paris-Saclay, 78350, Jouy-en-Josas, France.
T BouchezIRSTEA, UR PROSE, 1 rue Pierre-Gilles de Gennes, 92761, Antony Cedex, France.

Funding

French National Research Agency (ANR) SYSCOMM project DISCO, ANR-09-SYSC-003
6 · The paper itself

Abstract

Genetic diversification through the emergence of variants is one of the known mechanisms enabling the adaptation of bacterial communities. We focused in this work on the adaptation of the model strain Pseudomonas putida KT2440 in association with another P. putida strain (PCL1480) recently isolated from soil to investigate the potential role of bacterial interactions in the diversification process. On the basis of colony morphology, three variants of P. putida KT2440 were obtained from co-culture after 168 h of growth whereas no variant was identified from the axenic KT2440 biofilm. The variants exhibited distinct phenotypes and produced biofilms with specific architecture in comparison with the ancestor. The variants better competed with the P. putida PCL1480 strain in the dual-strain biofilms after 24 h of co-culture in comparison with the ancestor. Moreover, the synergistic interaction of KT2440 ancestor and the variants led to an improved biofilm production and to higher competitive ability versus the PCL1480 strain, highlighting the key role of diversification in the adaptation of P. putida KT2440 in the mixed community. Whole genome sequencing revealed mutations in polysaccharides biosynthesis protein, membrane transporter, or lipoprotein signal peptidase genes in variants.

Indexed as

BiofilmsMicrobial InteractionsAdaptation, PhysiologicalPseudomonas putidaAdaptationBiofilmConfocal microscopyGenetic variantsPseudomonas putidaSpecies interactionsSynergistic populations

Identifiers

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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.