Evidence map›Paper›PMID 19789909›Full record

ArticleMicrobial ecology2010

Linkage between bacterial carbon processing and the structure of the active bacterial community at a coastal site in the NW Mediterranean Sea.

Ingrid Obernosterer, Raphael Lami, Mariele Larcher, Nicole Batailler, Philippe Catala, Philippe Lebaron

Abstract read
PubMed Publisher
In one paragraph

Article in Microbial ecology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

6 authors.

Ingrid ObernostererUPMC Univ Paris 06, UMR 7621, LOBB, Observatoire Océanologique, F-66651, Banyuls/mer, France. ingrid.obernosterer@obs-banyuls.fr
Raphael Lami
Mariele Larcher
Nicole Batailler
Philippe Catala
Philippe Lebaron

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The temporal dynamics in bulk bacterial parameters and in the richness of the total and active bacterial community, determined from CE-SSCP fingerprints of 16S rRNA genes and 16S rRNA transcripts, respectively, were followed weekly to bimonthly at an oligotrophic coastal site in the NW Mediterranean Sea. Bacterial abundance, bacterial heterotrophic production, and bacterial and community respiration determined over two seasonal cycles displayed large short-term variability and no pronounced temporal pattern was detectable for these parameters. Concentrations in inorganic nutrients, salinity, or concentrations of chlorophyll a could not significantly explain the temporal variability of the bacterial parameters determined. By contrast, bacterial respiration and the bacterial carbon demand were both negatively correlated with the richness of the active bacterial community, while the bacterial parameters determined herein were not related to the richness of the total bacterial community present. Our results indicate that a reduced number of ribotypes is active when rates of bacteria-mediated carbon processes are high. Our approach, based on fingerprints of 16S rRNA transcripts, could represent an interesting tool to investigate the relationship between the structure and function of marine bacteria, in particular, on short temporal and spatial scales.

Indexed as

BacteriaBiomassCarbonChlorophyllChlorophyll ACluster AnalysisDNA, BacterialDNA FingerprintingMediterranean SeaNitratesOxygen ConsumptionPhosphatesPolymorphism, Single-Stranded ConformationalRibotypingRNA, Ribosomal, 16SSalinityCarbonChlorophyllChlorophyll ADNA, BacterialNitratesPhosphatesRNA, Ribosomal, 16S

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.