Evidence map›Paper›PMID 26807728›Full record

ArticlePloS one2016

Microbial Community Profiles in Wastewaters from Onsite Wastewater Treatment Systems Technology.

Łukasz Jałowiecki, Joanna Małgorzata Chojniak, Elmar Dorgeloh, Berta Hegedusova, Helene Ejhed, Jörgen Magnér, Grażyna Anna Płaza

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

7 authors.

Łukasz JałowieckiDepartment of Environmental Microbiology, Institute for Ecology of Industrial Areas, Katowice, Poland.
Joanna Małgorzata ChojniakDepartment of Environmental Microbiology, Institute for Ecology of Industrial Areas, Katowice, Poland.
Elmar DorgelohDevelopment and Assessment Institute in Waste Water Technology at RWTH Aachen University, Aachen, Germany.
Berta HegedusovaDevelopment and Assessment Institute in Waste Water Technology at RWTH Aachen University, Aachen, Germany.
Helene EjhedNatural resources &Environmental Effects, IVL Swedish Environmental Research Institute, Stockholm, Sweden.
Jörgen MagnérNatural resources &Environmental Effects, IVL Swedish Environmental Research Institute, Stockholm, Sweden.
Grażyna Anna PłazaDepartment of Environmental Microbiology, Institute for Ecology of Industrial Areas, Katowice, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the study was to determine the potential of community-level physiological profiles (CLPPs) methodology as an assay for characterization of the metabolic diversity of wastewater samples and to link the metabolic diversity patterns to efficiency of select onsite biological wastewater facilities. Metabolic fingerprints obtained from the selected samples were used to understand functional diversity implied by the carbon substrate shifts. Three different biological facilities of onsite wastewater treatment were evaluated: fixed bed reactor (technology A), trickling filter/biofilter system (technology B), and aerated filter system (the fluidized bed reactor, technology C). High similarities of the microbial community functional structures were found among the samples from the three onsite wastewater treatment plants (WWTPs), as shown by the diversity indices. Principal components analysis (PCA) showed that the diversity and CLPPs of microbial communities depended on the working efficiency of the wastewater treatment technologies. This study provided an overall picture of microbial community functional structures of investigated samples in WWTPs and discerned the linkages between microbial communities and technologies of onsite WWTPs used. The results obtained confirmed that metabolic profiles could be used to monitor treatment processes as valuable biological indicators of onsite wastewater treatment technologies efficiency. This is the first step toward understanding relations of technology types with microbial community patterns in raw and treated wastewaters.

Indexed as

Waste Disposal, FluidWastewaterWater PurificationWastewater

Identifiers

PMID26807728
PMCPMC4725721

What OpenQuestion holds

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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.