Evidence map›Paper›PMID 27667132›Full record

ArticleMicrobiologyOpen2017

Assessing the composition of microbial communities in textile wastewater treatment plants in comparison with municipal wastewater treatment plants.

Ken Meerbergen, Maarten Van Geel, Michael Waud, Kris A Willems, Raf Dewil, Jan Van Impe, Lise Appels, Bart Lievens

Open access · goldAbstract readComparative Study
In one paragraph

Article in MicrobiologyOpen, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
4.2field-weighted citation impact, top 7% 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

17 citing papers in PubMed, 78 citations in OpenAlex.

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  14. Removal of fecal indicator bacteria and antibiotic resistant genes in constructed wetlands.Environmental science and pollution research international · 2019
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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

8 authors at 3 institutions in 2 countries.

Ken MeerbergenLaboratory for Process Microbial Ecology and Bioinspirational Management (PME&BIM), Department of Microbial and Molecular Systems (M2S), Technology Campus De Nayer, KU Leuven, Sint-Katelijne-Waver, Belgium.ORCID 0000-0002-5461-9648
Maarten Van GeelPlant Conservation and Population Biology, Department of Biology, KU Leuven, Leuven, Belgium.
Michael WaudLaboratory for Process Microbial Ecology and Bioinspirational Management (PME&BIM), Department of Microbial and Molecular Systems (M2S), Technology Campus De Nayer, KU Leuven, Sint-Katelijne-Waver, Belgium.
Kris A WillemsLaboratory for Process Microbial Ecology and Bioinspirational Management (PME&BIM), Department of Microbial and Molecular Systems (M2S), Technology Campus De Nayer, KU Leuven, Sint-Katelijne-Waver, Belgium.
Raf DewilProcess and Environmental Technology Lab (PETLab), Department of Chemical Engineering, Technology Campus De Nayer, KU Leuven, Sint-Katelijne-Waver, Belgium.
Jan Van ImpeChemical and Biochemical Process Technology and Control (BioTeC), Department of Chemical Engineering, Technology Campus Gent, KU Leuven, Gent, Belgium.
Lise AppelsProcess and Environmental Technology Lab (PETLab), Department of Chemical Engineering, Technology Campus De Nayer, KU Leuven, Sint-Katelijne-Waver, Belgium.
Bart LievensLaboratory for Process Microbial Ecology and Bioinspirational Management (PME&BIM), Department of Microbial and Molecular Systems (M2S), Technology Campus De Nayer, KU Leuven, Sint-Katelijne-Waver, Belgium.
Ecologie Microbienne Lyon · FRKU Leuven · BEGhent University · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is assumed that microbial communities involved in the biological treatment of different wastewaters having a different chemical composition harbor different microbial populations which are specifically adapted to the environmental stresses encountered in these systems. Yet, little is known about the composition of these microbial communities. Therefore, the aim of this study was to assess the microbial community composition over two seasons (winter and summer) in activated sludge from well-operating textile wastewater treatment plants (WWTPs) in comparison with municipal WWTPs, and to explain observed differences by environmental variables. 454-pyrosequencing generated 160 archaeal and 1645 bacterial species-level Operational Taxonomic Units (OTUs), with lower observed richness in activated sludge from textile WWTPs compared to municipal WWTPs. The bacterial phyla Planctomycetes, Chloroflexi, Chlorobi, and Acidobacteria were more abundant in activated sludge samples from textile WWTPs, together with archaeal members of Thaumarchaeota. Nonmetric multidimensional scaling analysis of the microbial communities showed that microbial communities from textile and municipal WWTPs were significantly different, with a seasonal effect on archaea. Nitrifying and denitrifying bacteria as well as phosphate-accumulation bacteria were more abundant in municipal WWTPs, while sulfate-reducing bacteria were almost only detected in textile WWTPs. Additionally, microbial communities from textile WWTPs were more dissimilar than those of municipal WWTPs, possibly due to a wider diversity in environmental stresses to which microbial communities in textile WWTPs are subjected to. High salinity, high organic loads, and a higher water temperature were important potential variables driving the microbial community composition in textile WWTPs. This study provides a general view on the composition of microbial communities in activated sludge of textile WWTPs, and may provide novel insights for identifying key players performing important functions in the purification of textile wastewaters.

Indexed as

CitiesTextile IndustryArchaeaBacteriaBase SequenceDNA, ArchaealDNA, BacterialMicrobiotaReal-Time Polymerase Chain ReactionSeasonsSequence Analysis, DNASewageWater PurificationDNA, ArchaealDNA, BacterialSewage454-pyrosequencingactivated sludgeenvironmental fitmicrobial communityquantitative real-time PCRwastewater

Identifiers

PMID27667132
PMCPMC5300884
OpenAlexW2521427647

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.