Evidence map›Paper›PMID 28502052›Full record

ArticleEnvironmental science and pollution research international2017

Variation of microbial communities and functional genes during the biofilm formation in raw water distribution systems and associated effects on the transformation of nitrogen pollutants.

Wei Chen, Yanmei Gu, Hang Xu, Zhigang Liu, Chunhui Lu, Chenshuo Lin

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Wei ChenKey Laboratory of Integrated Regulation and Resources Development of Shallow Lakes, Hohai University, Nanjing, 210098, China.
Yanmei GuKey Laboratory of Integrated Regulation and Resources Development of Shallow Lakes, Hohai University, Nanjing, 210098, China.
Hang XuKey Laboratory of Integrated Regulation and Resources Development of Shallow Lakes, Hohai University, Nanjing, 210098, China. xuhang810826@163.com.
Zhigang LiuKey Laboratory of Integrated Regulation and Resources Development of Shallow Lakes, Hohai University, Nanjing, 210098, China.
Chunhui LuState Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing, China.
Chenshuo LinKey Laboratory of Integrated Regulation and Resources Development of Shallow Lakes, Hohai University, Nanjing, 210098, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to investigate the variation of microbial communities and functional genes during the biofilm formation in raw water distribution systems without prechlorination and associated effects on the transformation of nitrogen pollutants by using a designed model pipe system. The results showed the transformation of nitrogen pollutants was obvious during the biofilm formation. The richness and diversity of the microbial communities changed significantly. The higher abundance of Nitrospirae in biofilm samples significantly contributed to biological nitrification. In particular, the stable content of Bacteroidetes in the biofilm and soluble microbial products released by the biomass might have enhanced the increase in dissolved organic nitrogen. In addition, the variation tendency of nitrogen functional gene abundances and their strong effects on NH

Indexed as

BiofilmsDenitrificationGenes, BacterialNitrogenBacteriaBiomassNitrificationWaterNitrogenWaterBiofilm formationDenitrificationFunctional gene groupsMicrobial communityNitrificationRaw water distribution system

Identifiers

What OpenQuestion holds

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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.