Evidence map›Paper›PMID 22806789›Full record

ArticleWorld journal of microbiology & biotechnology2012

Rapid qualitative characterization of bacterial community in eutrophicated wastewater stabilization plant by T-RFLP method based on 16S rRNA genes.

Abdelaziz Belila, Mejdi Snoussi, Abdennaceur Hassan

Abstract read
PubMed Publisher
In one paragraph

Article in World journal of microbiology & biotechnology, 2012. 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
1.5field-weighted citation impact, top 17% 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

1 citing paper in PubMed, 12 citations in OpenAlex.

  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

3 authors at 1 institution in 1 country.

Abdelaziz BelilaWater Researches and Technologies Centre of Bordj-Cedria, Water Treatment and Reuse Laboratory, BP. 273, 8020, Soliman, Tunisia. belilaziz@yahoo.com
Mejdi Snoussi
Abdennaceur Hassan
Centre de Recherches et des Technologies des Eaux · TN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Waste stabilization ponds are a simple, low-cost extensive process for treating wastewater, and well adapted to low socio-economic conditions in developing countries where the microbial populations in these systems are not well characterized. The phylogenetic bacterial community structure within a Tunisian wastewater stabilization plant treating domestic wastewater was assessed by Terminal Restriction Fragment Length Polymorphism method targeting 16S rRNA genes and by the APLAUS+ software of the Microbial Community Analysis (MiCA) web based tool. The dimeric enzymatic digestion with HaeIII and HinfI restriction enzymes revealed high bacterial diversity within the plant where 11 bacterial phyla were identified. The total bacterial community structure includes bacteria catalysing nitrogen and phosphorus removal and bacteria involved in the sulfur cycle. The bacterial community was characterized by the dominance of Proteobacteria which was the most populous phylum (60%) followed by the Actinobacteria (20%), the Firmicutes (10.3%), the Bacteroidetes (2.3%), the Nitrospira (2.2%). Minor bacterial phyla groups occupied smaller fractions such as Chloroflexi, Deferribacteres and Verrumicrobia. T-RFLP analysis revealed also that The Proteobacteria phylum was characterized by the dominance of bacteria of The Gammaproteobacteria class.

Indexed as

Water MicrobiologyBacteriaEcosystemGenes, BacterialMetagenomePhylogenyPolymorphism, Restriction Fragment LengthRNA, BacterialRNA, Ribosomal, 16STunisiaWaste Disposal, FluidWastewaterRNA, BacterialRNA, Ribosomal, 16SWastewater

Identifiers

PMID22806789
OpenAlexW2087721426

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.