Evidence map›Paper›PMID 27762086›Full record

ArticleMicrobiologyOpen2016

Bacterial community assembly in activated sludge: mapping beta diversity across environmental variables.

Siavash Isazadeh, Shameem Jauffur, Dominic Frigon

Abstract read
In one paragraph

Article in MicrobiologyOpen, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 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

3 authors.

Siavash IsazadehDepartment of Civil Engineering and Applied Mechanics, McGill University, Montreal, Quebec, Canada.
Shameem JauffurDepartment of Civil Engineering and Applied Mechanics, McGill University, Montreal, Quebec, Canada.
Dominic FrigonDepartment of Civil Engineering and Applied Mechanics, McGill University, Montreal, Quebec, Canada.ORCID 0000-0003-1587-8943

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Effect of ecological variables on community assembly of heterotrophic bacteria at eight full-scale and two pilot-scale activated sludge wastewater treatment plants (AS-WWTPs) were explored by pyrosequencing of 16S rRNA gene amplicons. In total, 39 samples covering a range of abiotic factors spread over space and time were analyzed. A core bacterial community of 24 families detected in at least six of the eight AS-WWTPs was defined. In addition to the core families, plant-specific families (observed at <50% AS-WWTPs) were found to be also important in the community structure. Observed beta diversity was partitioned with respect to ecological variables. Specifically, the following variables were considered: influent wastewater characteristics, season (winter vs. summer), process operations (conventional, oxidation ditch, and sequence batch reactor), reactor sizes (pilot-scale vs. full-scale reactors), chemical stresses defined by ozonation of return activated sludge, interannual variation, and geographical locations. Among the assessed variables, influent wastewater characteristics and geographical locations contributed more in explaining the differences between AS-WWTP bacterial communities with a maximum of approximately 26% of the observed variations. Partitioning of beta diversity is necessary to interpret the inherent variability in microbial community assembly and identify the driving forces at play in engineered microbial ecosystem.

Indexed as

BacteriaBioreactorsHigh-Throughput Nucleotide SequencingMicrobiotaRNA, Ribosomal, 16SSeasonsSewageWater PurificationRNA, Ribosomal, 16SSewageactivated sludgebeta diversitybiosolidsenvironmental variablesozonepopulation assembly

Identifiers

PMID27762086
PMCPMC5221439

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Registered trials

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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.