Evidence map›Paper›PMID 30680433›Full record

ArticleMicrobial ecology2019

The Dynamic of a River Model Bacterial Community in Two Different Media Reveals a Divergent Succession and an Enhanced Growth of Most Strains Compared to Monocultures.

Lise Goetghebuer, Mathias Bonal, Karoline Faust, Pierre Servais, Isabelle F George

Abstract read
PubMed Publisher
In one paragraph

Article in Microbial ecology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Lise GoetghebuerEcology of Aquatic Systems, Université libre de Bruxelles, Campus Plaine, CP 221, 1050, Brussels, Belgium.
Mathias BonalEcology of Aquatic Systems, Université libre de Bruxelles, Campus Plaine, CP 221, 1050, Brussels, Belgium.
Karoline FaustLaboratory of Molecular Bacteriology (Rega Institute), Katholieke Universiteit Leuven, Herestraat 49, 3000, Leuven, Belgium.
Pierre ServaisEcology of Aquatic Systems, Université libre de Bruxelles, Campus Plaine, CP 221, 1050, Brussels, Belgium.
Isabelle F GeorgeEcology of Aquatic Systems, Université libre de Bruxelles, Campus Plaine, CP 221, 1050, Brussels, Belgium. igeorge@ulb.ac.be.ORCID http://orcid.org/0000-0003-1616-5232

Funding

Fonds De La Recherche Scientifique - FRS-FNRS (BE) T.1037.14
6 · The paper itself

Abstract

The dynamic of a community of 20 bacterial strains isolated from river water was followed in R2 broth and in autoclaved river water medium for 27 days in batch experiments. At an early stage of incubation, a fast-growing specialist strain, Acinetobater sp., dominated the community in both media. Later on, the community composition in both media diverged but was highly reproducible across replicates. In R2, several strains previously reported to degrade multiple simple carbon sources prevailed. In autoclaved river water, the community was more even and became dominated by several strains growing faster or exclusively in that medium. Those strains have been reported in the literature to degrade complex compounds. Their growth rate in the community was 1.5- to 7-fold greater than that observed in monoculture. Furthermore, those strains developed simultaneously in the community. Together, our results suggest the existence of cooperative interactions within the community incubated in autoclaved river water.

Indexed as

BacteriaBiodiversityCulture MediaModels, BiologicalRiversWater MicrobiologyCulture MediaBacteriaGrowth rateInteractionsModel communityRiver

Identifiers

What OpenQuestion holds

Textmetadata
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.