Evidence map›Paper›PMID 30190569›Full record

ArticleScientific reports2018

Bacterial communities and potential waterborne pathogens within the typical urban surface waters.

Decai Jin, Xiao Kong, Bingjian Cui, Shulan Jin, Yunfeng Xie, Xingrun Wang, Ye Deng

Open access · goldAbstract 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 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
6.2field-weighted citation impact, top 3% of its field
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

28 citing papers in PubMed, 81 citations in OpenAlex.

  1. ExploringAntibiotics (Basel, Switzerland) · 2026
    Article
  2. Assessing Recreational Safety of Urban Marine Waters: Long-Term Coliform and Enterococcus Analysis.Water environment research : a research publication of the Water Environment Federation · 2026
    Article
  3. Article
  4. Genomic signatures of resistance and adaptability in Aeromonas and Pseudomonas from a Brazilian Hope Spot.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2025
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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

7 authors at 4 institutions in 1 country.

Decai JinKey Laboratory of Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China. dcjin@rcees.ac.cn.
Xiao KongKey Laboratory of Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China.
Bingjian CuiKey Laboratory of Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China.
Shulan JinSchool of History Geography and Tourism, Shangrao Normal University, Shangrao, 334000, China.
Yunfeng XieState Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China.
Xingrun WangState Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China.
Ye DengKey Laboratory of Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China. yedeng@rcees.ac.cn.ORCID 0000-0002-7584-0632
Chinese Academy of Sciences · CNChinese Research Academy of Environmental Sciences · CNResearch Center for Eco-Environmental Sciences · CNShangrao Normal University · CN

Funding

National Natural Science Foundation of China (National Science Foundation of China) 31500083National Natural Science Foundation of China (National Science Foundation of China) 41561096
6 · The paper itself

Abstract

Waterborne pathogens have attracted a great deal of attention in the public health sector over the last several decades. However, little is known about the pathogenic microorganisms in urban water systems. In this study, the bacterial community structure of 16 typical surface waters in the city of Beijing were analyzed using Illumina MiSeq high-throughput sequencing based on 16S rRNA gene. The results showed that Bacteroidetes, Proteobacteria and Actinobacteria were the dominant groups in 16 surface water samples, and Betaproteobacteria, Alphaproteobacteria, Flavobacteriia, Sphingobacteriia and Actinobacteria were the most dominant classes. The dominant genus across all samples was Flavobacterium. In addition, fifteen genus level groups of potentialy pathogenic bacteria were detected within the 16 water samples, with Pseudomonas and Aeromonas the most frequently identified. Spearman correlation analysis demonstrated that richness estimators (OTUs and Chao1) were correlated with water temperature, nitrate and total nitrogen (p < 0.05), while ammonia-nitrogen and total nitrogen were significantly correlated with the percent of total potential pathogens (p ≤ 0.05). These results could provide insight into the ecological function and health risks of surface water bacterial communities during the process of urbanization.

Indexed as

BacteriaMicrobial ConsortiaWater MicrobiologyHumansRNA, BacterialRNA, Ribosomal, 16SUrban RenewalRNA, BacterialRNA, Ribosomal, 16S

Identifiers

PMID30190569
PMCPMC6127328
OpenAlexW2888879768

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.