Evidence map›Paper›PMID 28166249›Full record

ArticlePloS one2017

Approach to determine the diversity of Legionella species by nested PCR-DGGE in aquatic environments.

Wen-Chien Huang, Hsin-Chi Tsai, Chi-Wei Tao, Jung-Sheng Chen, Yi-Jia Shih, Po-Min Kao, Tung-Yi Huang, Bing-Mu Hsu

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

8 authors.

Wen-Chien HuangDepartment of Medicine, Mackay Medicine College, Taipei, Taiwan, ROC.
Hsin-Chi TsaiSchool of Medicine Tzu-Chi University, Hualien, Taiwan, ROC.
Chi-Wei TaoSection of Respiratory Therapy, Cheng Hsin General Hospital, Taipei, Taiwan, ROC.
Jung-Sheng ChenGraduate Institute of Life Sciences, National Defense Medical Center, Taipei, Taiwan, ROC.
Yi-Jia ShihDepartment of Earth and Environmental Sciences, National Chung Cheng University, Chiayi, Taiwan, ROC.
Po-Min KaoDepartment of Earth and Environmental Sciences, National Chung Cheng University, Chiayi, Taiwan, ROC.
Tung-Yi HuangDepartment of Earth and Environmental Sciences, National Chung Cheng University, Chiayi, Taiwan, ROC.
Bing-Mu HsuDepartment of Earth and Environmental Sciences, National Chung Cheng University, Chiayi, Taiwan, ROC.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we describe a nested PCR-DGGE strategy to detect Legionella communities from river water samples. The nearly full-length 16S rRNA gene was amplified using bacterial primer in the first step. After, the amplicons were employed as DNA templates in the second PCR using Legionella specific primer. The third round of gene amplification was conducted to gain PCR fragments apposite for DGGE analysis. Then the total numbers of amplified genes were observed in DGGE bands of products gained with primers specific for the diversity of Legionella species. The DGGE patterns are thus potential for a high-throughput preliminary determination of aquatic environmental Legionella species before sequencing. Comparative DNA sequence analysis of excised DGGE unique band patterns showed the identity of the Legionella community members, including a reference profile with two pathogenic species of Legionella strains. In addition, only members of Legionella pneumophila and uncultured Legionella sp. were detected. Development of three step nested PCR-DGGE tactic is seen as a useful method for studying the diversity of Legionella community. The method is rapid and provided sequence information for phylogenetic analysis.

Indexed as

Denaturing Gradient Gel ElectrophoresisPolymerase Chain ReactionLegionellaPhylogenyRiversRNA, Ribosomal, 16SSequence Analysis, DNAWater MicrobiologyRNA, Ribosomal, 16S

Identifiers

PMID28166249
PMCPMC5293244

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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.