Evidence map›Paper›PMID 27064107›Full record

ArticleScientific reports2016

Population Dynamics of Bulking and Foaming Bacteria in a Full-scale Wastewater Treatment Plant over Five Years.

Xiao-Tao Jiang, Feng Guo, Tong Zhang

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Bayesian networks for network inference in biology.Journal of the Royal Society, Interface · 2025
    Review
  2. Article
  3. High-throughput single-cell sequencing of activated sludge microbiome.Environmental science and ecotechnology · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Applied and environmental microbiology · 2021
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Frontiers in microbiology · 2020
    Article
  13. Article
  14. 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.

Xiao-Tao JiangEnvironmental Biotechnology Lab, The University of Hong Kong SAR China.
Feng GuoEnvironmental Biotechnology Lab, The University of Hong Kong SAR China.
Tong ZhangEnvironmental Biotechnology Lab, The University of Hong Kong SAR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bulking and foaming are two notorious problems in activated sludge wastewater treatment plants (WWTPs), which are mainly associated with the excessive growth of bulking and foaming bacteria (BFB). However, studies on affecting factors of BFB in full-scale WWTPs are still limited. In this study, data sets of high-throughput sequencing (HTS) of 16S V3-V4 amplicons of 58 monthly activated sludge samples from a municipal WWTP was re-analyzed to investigate the BFB dynamics and further to study the determinative factors. The population of BFB occupied 0.6~36% (averagely 8.5% ± 7.3%) of the total bacteria and showed seasonal variations with higher abundance in winter-spring than summer-autumn. Pair-wise correlation analysis and canonical correlation analysis (CCA) showed that Gordonia sp. was positively correlated with NO2-N and negatively correlated with NO3-N, and Nostocodia limicola II Tetraspharea sp. was negatively correlated with temperature and positively correlated with NH3-N in activated sludge. Bacteria species correlated with BFB could be clustered into two negatively related modules. Moreover, with intensive time series sampling, the dominant BFB could be accurately modeled with environmental interaction network, i.e. environmental parameters and biotic interactions between BFB and related bacteria, indicating that abiotic and biotic factors were both crucial to the dynamics of BFB.

Indexed as

BacteriaGordonia BacteriumHigh-Throughput Nucleotide SequencingModels, BiologicalRNA, Ribosomal, 16SSeasonsSequence Analysis, DNASewageTemperatureWaste Disposal, FluidWastewaterRNA, Ribosomal, 16SSewageWastewater

Identifiers

PMID27064107
PMCPMC4827064

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.