Evidence map›Paper›PMID 24551186›Full record

ArticlePloS one2014

Rapid Sanger sequencing of the 16S rRNA gene for identification of some common pathogens.

Linxiang Chen, Ying Cai, Guangbiao Zhou, Xiaojun Shi, Jianhui Su, Guanwu Chen, Kun Lin

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

  1. Article
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  7. Article
  8. Draft genome sequence of non-pathogenicMicrobiology resource announcements · 2024
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  10. Kinship analysis ofVeterinary world · 2024
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  13. Frontiers in plant science · 2023
    Article
  14. Article
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  16. Article
  17. Article
  18. Diagnosis and Treatment of Invasive Candidiasis.Antibiotics (Basel, Switzerland) · 2022
    Review
  19. Rapid Identification of Drug-Resistant Tuberculosis Genes Using Direct PCR Amplification and Oxford Nanopore Technology Sequencing.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2022
    Article
  20. Review
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.

Linxiang ChenDepartment of Preventive Medicine, Shantou University Medical College, Shantou, Guangdong, China ; Laboratory of Molecular Biology, Shantou Entry-Exit Inspection and Quarantine Bureau, Shantou, Guangdong, China.
Ying CaiLaboratory of Molecular Biology, Shantou Entry-Exit Inspection and Quarantine Bureau, Shantou, Guangdong, China.
Guangbiao ZhouLaboratory of Molecular Biology, Shantou Entry-Exit Inspection and Quarantine Bureau, Shantou, Guangdong, China.
Xiaojun ShiDepartment of Preventive Medicine, Shantou University Medical College, Shantou, Guangdong, China.
Jianhui SuLaboratory of Molecular Biology, Shantou Entry-Exit Inspection and Quarantine Bureau, Shantou, Guangdong, China.
Guanwu ChenLaboratory of Molecular Biology, Shantou Entry-Exit Inspection and Quarantine Bureau, Shantou, Guangdong, China.
Kun LinDepartment of Preventive Medicine, Shantou University Medical College, Shantou, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Conventional Sanger sequencing remains time-consuming and laborious. In this study, we developed a rapid improved sequencing protocol of 16S rRNA for pathogens identification by using a new combination of SYBR Green I real-time PCR and Sanger sequencing with FTA® cards. To compare the sequencing quality of this method with conventional Sanger sequencing, 12 strains, including three kinds of strains (1 reference strain and 3 clinical strains, which were previously identified by biochemical tests), which have 4 Pseudomonas aeruginosa, 4 Staphyloccocus aureus and 4 Escherichia coli, were targeted. Additionally, to validate the sequencing results and bacteria identification, expanded specimens with 90 clinical strains, also comprised of the three kinds of strains which included 30 samples respectively, were performed as just described. The results showed that although statistical differences (P<0.05) were found in sequencing quality between the two methods, their identification results were all correct and consistent. The workload, the time consumption and the cost per batch were respectively light versus heavy, 8 h versus 11 h and $420 versus $400. In the 90 clinical strains, all of the Pseudomonas aeruginosa and Staphyloccocus aureus strains were correctly identified, but only 26.7% of the Escherichia coli strains were recognized as Escherichia coli, while 33.3% as Shigella sonnei and 40% as Shigella dysenteriae. The protocol described here is a rapid, reliable, stable and convenient method for 16S rRNA sequencing, and can be used for Pseudomonas aeruginosa and Staphyloccocus aureus identification, yet it is not completely suitable for discriminating Escherichia coli and Shigella strains.

Indexed as

BacteriaBase SequenceElectrophoresis, Agar GelEscherichia coliEthidiumGenes, BacterialHumansMolecular Sequence DataNucleic Acid DenaturationPolymerase Chain ReactionPseudomonas aeruginosaRNA, Ribosomal, 16SSequence Analysis, RNAStaphylococcus aureusEthidiumRNA, Ribosomal, 16S

Identifiers

PMID24551186
PMCPMC3925228

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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.