Evidence map›Paper›PMID 25911286›Full record

ArticleEnvironmental science and pollution research international2015

Bacterial communities of Beijing surface waters as revealed by 454 pyrosequencing of the 16S rRNA gene.

Yu-Mei Wei, Jing-Qi Wang, Ting-Ting Liu, Wei-Wen Kong, Nan Chen, Xiao-Qing He, Yi Jin

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Article in Environmental science and pollution research international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

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0cells of the map it votes in
12citing 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

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3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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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.

Yu-Mei WeiCollege of Biological Sciences and Technology, Beijing Forestry University, P. O. Box 162, Qinghua East Rd 35, Haidian District, Beijing, 100083, People's Republic of China.
Jing-Qi Wang
Ting-Ting Liu
Wei-Wen Kong
Nan Chen
Xiao-Qing He
Yi Jin

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As a better understanding of Beijing surface water ecosystems can provide clues for environmental management and public health, here, we report a study of the bacterial communities of five Beijing surface waters conducted using 454 pyrosequencing of 16S ribosomal RNA (rRNA) genes. We expected to observe a core bacterial community among the surface waters and differences in bacterial community abundance over the different locations of sampling. In this study, we obtained a total of 60,810 trimmed reads from the five samples after the removal of unqualified reads. Bacterial sequences from the five samples were classified into taxonomic classes using the default settings of the mothur platform. Our results provided insight into the bacterial community composition of surface waters and revealed that there was a core microbial community in the microbial populations of surface samples at different geographic locations, with 13 phyla and 40 genera in common. Our findings also revealed the differences in bacterial communities among five surface water samples obtained at different locations.

Indexed as

MicrobiotaBacteriaBase SequenceBeijingFresh WaterGeographyMolecular Sequence DataRNA, Ribosomal, 16SSequence Analysis, DNARNA, Ribosomal, 16S

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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.