Evidence map›Paper›PMID 37294449›Full record

ArticleCurrent microbiology2023

Deciphering Interactions Within a 4-Strain Riverine Bacterial Community.

Mathias Bonal, Lise Goetghebuer, Clémence Joseph, Didier Gonze, Karoline Faust, Isabelle F George

Abstract read
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In one paragraph

Article in Current microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Mathias BonalLaboratory of Ecology of Aquatic Systems, Brussels Bioengineering School, Université Libre de Bruxelles, 1050, Brussels, Belgium.ORCID http://orcid.org/0000-0002-2077-3049
Lise GoetghebuerLaboratory of Ecology of Aquatic Systems, Brussels Bioengineering School, Université Libre de Bruxelles, 1050, Brussels, Belgium.
Clémence JosephLaboratory of Molecular Bacteriology (Rega Institute), Department of Microbiology, Immunology and Transplantation, KU Leuven, 3000, Louvain, Belgium.ORCID http://orcid.org/0000-0002-1599-0401
Didier GonzeUnit of Theoretical Chronobiology, Faculty of Sciences, Université Libre de Bruxelles, 1050, Brussels, Belgium.ORCID http://orcid.org/0000-0002-9800-2412
Karoline FaustLaboratory of Molecular Bacteriology (Rega Institute), Department of Microbiology, Immunology and Transplantation, KU Leuven, 3000, Louvain, Belgium.ORCID http://orcid.org/0000-0001-7129-2803
Isabelle F GeorgeLaboratory of Ecology of Aquatic Systems, Brussels Bioengineering School, Université Libre de Bruxelles, 1050, Brussels, Belgium. isabelle.george@ulb.be.ORCID http://orcid.org/0000-0003-1616-5232

Funding

Fonds De La Recherche Scientifique - FNRS T.1037.14Fonds pour la Formation à la Recherche dans l'Industrie et dans l'Agriculture 35484266
6 · The paper itself

Abstract

The dynamics of a community of four planktonic bacterial strains isolated from river water was followed in R2 broth for 72 h in batch experiments. These strains were identified as Janthinobacterium sp., Brevundimonas sp., Flavobacterium sp. and Variovorax sp. 16S rRNA gene sequencing and flow cytometry analyses were combined to monitor the change in abundance of each individual strain in bi-cultures and quadri-culture. Two interaction networks were constructed that summarize the impact of the strains on each other's growth rate in exponential phase and carrying capacity in stationary phase. The networks agree on the absence of positive interactions but also show differences, implying that ecological interactions can be specific to particular growth phases. Janthinobacterium sp. was the fastest growing strain and dominated the co-cultures. However, its growth rate was negatively affected by the presence of other strains 10 to 100 times less abundant than Janthinobacterium sp. In general, we saw a positive correlation between growth rate and carrying capacity in this system. In addition, growth rate in monoculture was predictive of carrying capacity in co-culture. Taken together, our results highlight the necessity to take growth phases into account when measuring interactions within a microbial community. In addition, evidence that a minor strain can greatly influence the dynamics of a dominant one underlines the necessity to choose population models that do not assume a linear dependency of interaction strength to abundance of other species for accurate parameterization from such empirical data.

Indexed as

FlavobacteriaceaeFlavobacteriumDNA, BacterialFatty AcidsFresh WaterPhylogenyRNA, Ribosomal, 16SSequence Analysis, DNADNA, BacterialFatty AcidsRNA, Ribosomal, 16S

Identifiers

What OpenQuestion holds

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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.