Evidence map›Paper›PMID 26961535›Full record

ArticleEnvironmental science and pollution research international2016

Microbial composition and ecological features of phototrophic biofilms proliferating in the Moidons Caves (France): investigation at the single-cell level.

Fabien Borderie, Michel Denis, Aude Barani, Badr Alaoui-Sossé, Lotfi Aleya

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Article in Environmental science and pollution research international, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
4.3field-weighted citation impact, top 8% of its field
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

8 citing papers in PubMed, 19 citations in OpenAlex.

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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 at 1 institution in 1 country.

Fabien BorderieLaboratoire Chrono-Environnement, UMR CNRS 6249, Université de Bourgogne Franche-Comté, 16 route de Gray, Besançon, 25030, France.
Michel DenisInstitut Méditerranéen d'Océanologie (MIO), CNRS/INSU, IRD, Université d'Aix-Marseille, 163 avenue de Luminy, Case 901, Marseille, 13288 Cedex 09, France.
Aude BaraniInstitut Méditerranéen d'Océanologie (MIO), CNRS/INSU, IRD, Université d'Aix-Marseille, 163 avenue de Luminy, Case 901, Marseille, 13288 Cedex 09, France.
Badr Alaoui-SosséLaboratoire Chrono-Environnement, UMR CNRS 6249, Université de Bourgogne Franche-Comté, 16 route de Gray, Besançon, 25030, France.
Lotfi AleyaLaboratoire Chrono-Environnement, UMR CNRS 6249, Université de Bourgogne Franche-Comté, 16 route de Gray, Besançon, 25030, France. lotfi.aleya@univ-fcomte.fr.
Centre National de la Recherche Scientifique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The authors investigated the microbial composition of phototrophic biofilms proliferating in a show cave using flow cytometry for the first time in such a context. Results are based on several biofilms sampled in the Moidons Caves (France) and concern both heterotrophic prokaryotes and autotrophic microorganisms. Heterotrophic microorganisms with low nucleic acid content were dominant in biofilms, as can be expected from the oligotrophic conditions prevailing within the cave. Analysis of the biofilm autotrophic components revealed the presence of several taxa, particularly the unicellular green algae Chlorella minutissima, specifically well adapted to this cave. Relationships between flow cytometry results and environmental variables determined in the cave were established and discussed so as to better understand biofilm proliferation processes in caves.

Indexed as

BiofilmsAutotrophic ProcessesCavesChlorellaFranceHeterotrophic ProcessesAlgaeCavesCyanobacteriaFlow cytometryHeterotrophic prokaryotesPhototrophic biofilms

Identifiers

PMID26961535
OpenAlexW2294721135

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.