Evidence map›Paper›PMID 25009094›Full record

ArticleEnvironmental science and pollution research international2016

Expression of copper-resistance genes in microbial communities under copper stress and oxic/anoxic conditions.

Ludovic Besaury, Barbara Pawlak, Laurent Quillet

Abstract read
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In one paragraph

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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

5 citing papers in PubMed, 26 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

3 authors at 1 institution in 1 country.

Ludovic BesauryLaboratoire de Microbiologie Signaux et Microenvironnement, EA 4312, Bâtiment IRESE B, 2ème étage, UFR des Sciences, Université de Rouen, 76821, Mont Saint Aignan, France. besaury.ludovic@gmail.com.
Barbara PawlakLaboratoire de Microbiologie Signaux et Microenvironnement, EA 4312, Bâtiment IRESE B, 2ème étage, UFR des Sciences, Université de Rouen, 76821, Mont Saint Aignan, France.
Laurent QuilletLaboratoire de Microbiologie Signaux et Microenvironnement, EA 4312, Bâtiment IRESE B, 2ème étage, UFR des Sciences, Université de Rouen, 76821, Mont Saint Aignan, France.
Université de Rouen Normandie · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microorganisms have developed copper-resistance mechanisms in order to survive in contaminated environments. The abundance and expression of the copper-resistance genes cusA and copA, encoding respectively for a Resistance Cell Nodulation protein and for a P-type ATP-ase pump, was assessed along a gradient of copper concentration in microcosms prepared from Seine estuary mudflat sediment. We demonstrated that the abundance of copA and cusA genes decreased with the increase of copper concentration and that cusA gene was up to ten times higher than the copA gene. Only the copA gene was expressed in both oxic and anoxic conditions. The abundance and activity of the microbial community remained constant whatever the concentrations of copper along the gradient. The molecular phylogeny of the two copper-resistance genes was studied and revealed that the increase of copper increased the diversity of copA and cusA gene sequences.

Indexed as

Genes, BacterialCopperDrug Resistance, BacterialFranceGeologic SedimentsMicrobial ConsortiaOxidative StressPhylogenyRiversWater Pollutants, ChemicalCopperWater Pollutants, ChemicalCopper contaminationCopper resistance genesExpressionOxic/anoxic

Identifiers

PMID25009094
OpenAlexW2077490035

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.