Evidence map›Paper›PMID 29545533›Full record

ArticleScientific reports2018

Seasonal bacterial community succession in four typical wastewater treatment plants: correlations between core microbes and process performance.

Bo Zhang, Quanwei Yu, Guoqi Yan, Hubo Zhu, Xiang Yang Xu, Liang Zhu

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 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

6 authors.

Bo ZhangDepartment of Environmental Engineering, Zhejiang University, Hangzhou, 310058, China.ORCID 0000-0001-8425-8268
Quanwei YuZhejiang Province Key Laboratory for Water Pollution Control and Environmental Safety, Hangzhou, 310058, China.
Guoqi YanHangzhou Drainage Co., LTD, East City Water Treatment Branch, Hangzhou, 310018, China.
Hubo ZhuShangyu Wastewater Treatment Plant, Shangyu, 312369, China.
Xiang Yang XuDepartment of Environmental Engineering, Zhejiang University, Hangzhou, 310058, China.
Liang ZhuDepartment of Environmental Engineering, Zhejiang University, Hangzhou, 310058, China. felix79cn@hotmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To understand the seasonal variation of the activated sludge (AS) bacterial community and identify core microbes in different wastewater processing systems, seasonal AS samples were taken from every biological treatment unit within 4 full-scale wastewater treatment plants. These plants adopted A2/O, A/O and oxidation ditch processes and were active in the treatment of different types and sources of wastewater, some domestic and others industrial. The bacterial community composition was analyzed using high-throughput sequencing technology. The correlations among microbial community structure, dominant microbes and process performance were investigated. Seasonal variation had a stronger impact on the AS bacterial community than any variation within different wastewater treatment system. Facing seasonal variation, the bacterial community within the oxidation ditch process remained more stable those in either the A2/O or A/O processes. The core genera in domestic wastewater treatment systems were Nitrospira, Caldilineaceae, Pseudomonas and Lactococcus. The core genera in the textile dyeing and fine chemical industrial wastewater treatment systems were Nitrospira, Thauera and Thiobacillus.

Indexed as

BacteriaMicrobiotaOxidation-ReductionPrincipal Component AnalysisRNA, Ribosomal, 16SSeasonsSequence Analysis, DNASewageWaste Disposal, FluidWastewaterRNA, Ribosomal, 16SSewageWastewater

Identifiers

PMID29545533
PMCPMC5854665

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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.