Evidence map›Paper›PMID 28364202›Full record

ArticleEnvironmental science and pollution research international2017

Microbial profiles of a drinking water resource based on different 16S rRNA V regions during a heavy cyanobacterial bloom in Lake Taihu, China.

Junyi Zhang, Congming Zhu, Rui Guan, Zhipeng Xiong, Wen Zhang, Junzhe Shi, Yi Sheng, Bingchuan Zhu, Jing Tu, Qinyu Ge and 2 more

Abstract read
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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Role of the duodenal microbiota in functional dyspepsia.Neurogastroenterology and motility · 2022
    Review
  4. Article
  5. Article
  6. Article
  7. 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

12 authors.

Junyi ZhangState Key Lab for Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, China.
Congming ZhuMOE Key Lab of Bioinformatics, Bioinformatics Division/Center for Synthetic and Systems Biology, TNLIST and Department of Automation, Tsinghua University, Beijing, China.
Rui GuanState Key Lab for Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, China.
Zhipeng XiongWuxi Metagene Science & Technology Co., Ltd, Lake Taihu Cyanobacterial Blooms Research Institute, Wuxi, China.
Wen ZhangChina Environmental Protection Foundation, Beijing, China.
Junzhe ShiWuxi Environmental Monitoring Centre, Wuxi, China.
Yi ShengWuxi Environmental Monitoring Centre, Wuxi, China.
Bingchuan ZhuWuxi Environmental Monitoring Centre, Wuxi, China.
Jing TuState Key Lab for Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, China.
Qinyu GeState Key Lab for Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, China.
Ting ChenMOE Key Lab of Bioinformatics, Bioinformatics Division/Center for Synthetic and Systems Biology, TNLIST and Department of Automation, Tsinghua University, Beijing, China.
Zuhong LuState Key Lab for Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, China. zhlu@seu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding of the bacterial community structure in drinking water resources helps to enhance the security of municipal water supplies. In this study, bacterial communities were surveyed in water and sediment during a heavy cyanobacterial bloom in a drinking water resource of Lake Taihu, China. A total of 325,317 high-quality sequences were obtained from different 16S ribosomal RNA (rRNA) regions (V3, V4, and V6) using the Miseq sequencing platform. A notable difference was shown between the water and sediment samples, as predominated by Cyanobacteria, Proteobacteria, and Actinobacteria in the water and Proteobacteria, Chloroflexi, and Verrucomicrobia in the sediment, respectively. The LD12 family dominated the water surface and was tightly associated with related indicators of cyanobacterial propagation, indicating involvement in the massive proliferation of cyanobacterial blooms. Alternatively, the genus Nitrospira dominated the sediment samples, which indicates that nitrite oxidation was very active in the sediment. Although pathogenic bacteria were not detected in a large amount, some genera such as Mycobacterium, Acinetobacter, and Legionella were still identified but in very low abundance. In addition, the effects of different V regions on bacterial diversity survey were evaluated. Overall, V4 and V3 were proven to be more promising V regions for bacterial diversity survey in water and sediment samples during heavy water blooms in Lake Taihu, respectively. As longer, cheaper, and faster DNA sequencing technologies become more accessible, we expect that bacterial community structures based on 16S rRNA amplicons as an indicator could be used alongside with physical and chemical indicators, to conduct comprehensive assessments for drinking water resource management.

Indexed as

ChinaCyanobacteriaDrinking WaterLakesRNA, Ribosomal, 16SDrinking WaterRNA, Ribosomal, 16S16S rRNABacterial diversityCyanobacterial bloomDrinking water resourcesLake TaihuMicrocystis

Identifiers

PMID28364202
PMCPMC5418304

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.