Evidence map›Paper›PMID 25071728›Full record

ArticleFrontiers in microbiology2014

Antibiotics promote aggregation within aquatic bacterial communities.

Gianluca Corno, Manuela Coci, Marco Giardina, Sonia Plechuk, Floriana Campanile, Stefania Stefani

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
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  7. Article
  8. Review
  9. Evaluation of Flathead Grey Mullets (International journal of molecular sciences · 2023
    Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Bacterial autoaggregation.AIMS microbiology · 2018
    Review
  19. Article
  20. 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

6 authors.

Gianluca CornoMicrobial Ecology Group, Institute of Ecosystem Study, National Research Council Verbania, Italy.
Manuela CociMicrobial Ecology Group, Institute of Ecosystem Study, National Research Council Verbania, Italy ; Laboratory of Molecular Microbiology and Antibiotic Resistance, Department of Bio-Medical Sciences, University of Catania Catania, Italy.
Marco GiardinaMicrobial Ecology Group, Institute of Ecosystem Study, National Research Council Verbania, Italy ; Laboratory of Molecular Microbiology and Antibiotic Resistance, Department of Bio-Medical Sciences, University of Catania Catania, Italy.
Sonia PlechukMicrobial Ecology Group, Institute of Ecosystem Study, National Research Council Verbania, Italy ; Laboratory of Molecular Microbiology and Antibiotic Resistance, Department of Bio-Medical Sciences, University of Catania Catania, Italy.
Floriana CampanileLaboratory of Molecular Microbiology and Antibiotic Resistance, Department of Bio-Medical Sciences, University of Catania Catania, Italy.
Stefania StefaniLaboratory of Molecular Microbiology and Antibiotic Resistance, Department of Bio-Medical Sciences, University of Catania Catania, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The release of antibiotics (AB) into the environment poses several threats for human health due to potential development of AB-resistant natural bacteria. Even though the use of low-dose antibiotics has been promoted in health care and farming, significant amounts of AB are observed in aquatic environments. Knowledge on the impact of AB on natural bacterial communities is missing both in terms of spread and evolution of resistance mechanisms, and of modifications of community composition and productivity. New approaches are required to study the response of microbial communities rather than individual resistance genes. In this study a chemostat-based experiment with 4 coexisting bacterial strains has been performed to mimicking the response of a freshwater bacterial community to the presence of antibiotics in low and high doses. Bacterial abundance rapidly decreased by 75% in the presence of AB, independently of their concentration, and remained constant until the end of the experiment. The bacterial community was mainly dominated by Aeromonas hydrophila and Brevundimonas intermedia while the other two strains, Micrococcus luteus and Rhodococcus sp. never exceed 10%. Interestingly, the bacterial strains, which were isolated at the end of the experiment, were not AB-resistant, while reassembled communities composed of the 4 strains, isolated from treatments under AB stress, significantly raised their performance (growth rate, abundance) in the presence of AB compared to the communities reassembled with strains isolated from the treatment without AB. By investigating the phenotypic adaptations of the communities subjected to the different treatments, we found that the presence of AB significantly increased co-aggregation by 5-6 fold. These results represent the first observation of co-aggregation as a successful strategy of AB resistance based on phenotype in aquatic bacterial communities, and can represent a fundamental step in the understanding of the effects of AB in aquatic ecosystems.

Indexed as

aggregationantibiotic resistanceaquatic bacteriaecological interactionsexperimental ecology

Identifiers

PMID25071728
PMCPMC4077313

What OpenQuestion holds

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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.