Evidence map›Paper›PMID 20596528›Full record

ArticlePloS one2010

Rapid and sensitive detection of Yersinia pestis using amplification of plague diagnostic bacteriophages monitored by real-time PCR.

Kirill V Sergueev, Yunxiu He, Richard H Borschel, Mikeljon P Nikolich, Andrey A Filippov

Abstract read
In one paragraph

Article in PloS one, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

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0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

23 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. InducedFrontiers in microbiology · 2024
    Article
  5. Advances in detection methods for viable Salmonella spp.: current applications and challenges.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2023
    Review
  6. Article
  7. Review
  8. Article
  9. Review
  10. Yersinia pestis: the Natural History of Plague.Clinical microbiology reviews · 2020
    Review
  11. Review
  12. Specific Detection ofPathogens (Basel, Switzerland) · 2020
    Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. Article
4 · The record

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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

5 authors.

Kirill V SergueevDivision of Bacterial and Rickettsial Diseases, Department of Emerging Bacterial Infections, Walter Reed Army Institute of Research, Silver Spring, Maryland, United States of America. kirill.sergueev@amedd.army.mil
Yunxiu He
Richard H Borschel
Mikeljon P Nikolich
Andrey A Filippov

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundYersinia pestis, the agent of plague, has caused many millions of human deaths and still poses a serious threat to global public health. Timely and reliable detection of such a dangerous pathogen is of critical importance. Lysis by specific bacteriophages remains an essential method of Y. pestis detection and plague diagnostics. METHODOLOGY/PRINCIPAL

findingsThe objective of this work was to develop an alternative to conventional phage lysis tests--a rapid and highly sensitive method of indirect detection of live Y. pestis cells based on quantitative real-time PCR (qPCR) monitoring of amplification of reporter Y. pestis-specific bacteriophages. Plague diagnostic phages phiA1122 and L-413C were shown to be highly effective diagnostic tools for the detection and identification of Y. pestis by using qPCR with primers specific for phage DNA. The template DNA extraction step that usually precedes qPCR was omitted. phiA1122-specific qPCR enabled the detection of an initial bacterial concentration of 10(3) CFU/ml (equivalent to as few as one Y. pestis cell per 1-microl sample) in four hours. L-413C-mediated detection of Y. pestis was less sensitive (up to 100 bacteria per sample) but more specific, and thus we propose parallel qPCR for the two phages as a rapid and reliable method of Y. pestis identification. Importantly, phiA1122 propagated in simulated clinical blood specimens containing EDTA and its titer rise was detected by both a standard plating test and qPCR. CONCLUSIONS/SIGNIFICANCE: Thus, we developed a novel assay for detection and identification of Y. pestis using amplification of specific phages monitored by qPCR. The method is simple, rapid, highly sensitive, and specific and allows the detection of only live bacteria.

Indexed as

BacteriophagesBase SequenceDNA PrimersDNA, ViralHumansPlaguePolymerase Chain ReactionSensitivity and SpecificityYersinia pestisDNA PrimersDNA, Viral

Identifiers

PMID20596528
PMCPMC2893161

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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.