Evidence map›Paper›PMID 40984633›Full record

ArticleEnvironmental microbiology reports2025

Temporal and Spatial Survey on the Abundance of Amoebae and Bacteria in an Estuary and the Role of Environmental Parameters.

Gaëlle Bednarek, Hélène Agogué, Arno Bringer, Tony Agion, Vincent Delafont, Yann Héchard

Abstract read
In one paragraph

Article in Environmental microbiology reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Gaëlle BednarekUniversité de Poitiers, UMR CNRS 7267, Ecologie et Biologie Des Interactions (EBI), Poitiers, France.ORCID https://orcid.org/0009-0004-4966-9829
Hélène AgoguéLIENSs, Littoral, Environnement et Sociétés, UMR 7266 CNRS-La Rochelle Université, La Rochelle, France.ORCID https://orcid.org/0000-0002-1078-0130
Arno BringerQualyse, La Rochelle, France.ORCID https://orcid.org/0009-0009-0436-8631
Tony AgionQualyse, La Rochelle, France.ORCID https://orcid.org/0009-0007-0321-9533
Vincent DelafontUniversité de Poitiers, UMR CNRS 7267, Ecologie et Biologie Des Interactions (EBI), Poitiers, France.ORCID https://orcid.org/0000-0003-1111-2916
Yann HéchardUniversité de Poitiers, UMR CNRS 7267, Ecologie et Biologie Des Interactions (EBI), Poitiers, France.ORCID https://orcid.org/0000-0002-1224-4059

Funding

Région Nouvelle-Aquitaine
6 · The paper itself

Abstract

Free-living amoebae are phagotrophic protists that prey on bacteria. However, under certain conditions, some bacteria can resist phagocytosis and become pathogenic. Environmental parameters altered by climate change may impact amoebae and bacterial diversity, as well as their pathogenicity. In our study, we monitored amoebae and bacterial abundance both temporally, over 1 year, and spatially, along a river estuary, while also recording key environmental parameters. Naegleria was the most represented amoebae genus, present year-round from the river to the estuary. Similarly, Vibrio was the most dominant bacterial genus. Salinity, and to a lesser extent dissolved oxygen, influenced amoebae and bacterial abundance. In particular, the genera Naegleria, Paramoeba, Pseudomonas and Legionella were the most affected. In conclusion, this study highlights the impact of salinity on amoebae diversity, suggesting that this parameter, as a key factor in coastal environments, will impact both amoebae and the associated bacterial communities.

Indexed as

AmoebaBacteriaEstuariesBiodiversityOxygenRiversSalinitySpatio-Temporal AnalysisOxygenamoebabacteriaclimateenvironmental parametersestuarysalinity

Identifiers

PMID40984633
PMCPMC12454178

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.