Evidence map›Paper›PMID 24594695›Full record

ArticlePloS one2014

Bacterial community dynamics and taxa-time relationships within two activated sludge bioreactors.

Reti Hai, Yulin Wang, Xiaohui Wang, Yuan Li, Zhize Du

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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

  1. Pooled it
  2. Article
  3. Comparative analysis of floc characteristics and microbial communities in anoxic and aerobic suspended growth processes.Water environment research : a research publication of the Water Environment Federation · 2022
    Article
  4. Multivariate analysis of activated sludge community in full-scale wastewater treatment plants.Environmental science and pollution research international · 2021
    Article
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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

5 authors.

Reti HaiDepartment of Environmental Science and Engineering, Beijing University of Chemical Technology, Beijing, China.
Yulin WangDepartment of Environmental Science and Engineering, Beijing University of Chemical Technology, Beijing, China.
Xiaohui WangDepartment of Environmental Science and Engineering, Beijing University of Chemical Technology, Beijing, China.
Yuan LiDepartment of Environmental Science and Engineering, Beijing University of Chemical Technology, Beijing, China.
Zhize DuDepartment of Environmental Science and Engineering, Beijing University of Chemical Technology, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBiological activated sludge process must be functionally stable to continuously remove contaminants while relying upon the activity of complex microbial communities. However the dynamics of these communities are as yet poorly understood. A macroecology metric used to quantify community dynamic is the taxa-time relationship (TTR). Although the TTR of animal and plant species has been well documented, knowledge is still lacking in regard to TTR of microbial communities in activated sludge bioreactors.

aims1) To characterize the temporal dynamics of bacterial taxa in activated sludge from two bioreactors of different scale and investigate factors affecting such dynamics; 2) to evaluate the TTRs of activated sludge microbial communities in two bioreactors of different scale.

methodsTemporal variation of bacterial taxa in activated sludge collected from a full- and lab-scale activated sludge bioreactor was monitored over a one-year period using pyrosequencing of 16S rRNA genes. TTR was employed to quantify the bacterial taxa shifts based on the power law equation S = cTw.

resultsThe power law exponent w for the full-scale bioreactor was 0.43 (R2 = 0.970), which is lower than that of the lab-scale bioreactor (w = 0.55, R2 = 0.971). The exponents for the dominant phyla were generally higher than that of the rare phyla. Canonical correspondence analysis (CCA) result showed that the bacterial community variance was significantly associated with water temperature, influent (biochemical oxygen demand) BOD, bioreactor scale and dissolved oxygen (DO). Variance partitioning analyses suggested that wastewater characteristics had the greatest contribution to the bacterial community variance, explaining 20.3% of the variance of bacterial communities independently, followed by operational parameters (19.9%) and bioreactor scale (3.6%).

conclusionsResults of this study suggest bacterial community dynamics were likely driven partly by wastewater and operational parameters and provide evidence that the TTR may be a fundamental ecological pattern in macro- and microbial systems.

Indexed as

BacteriaBioreactorsSequence Analysis, DNASewageTime FactorsWastewaterSewageWastewater

Identifiers

PMID24594695
PMCPMC3942418

What OpenQuestion holds

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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.