Literature DB >> 22634001

Rapid detection and antimicrobial resistance gene profiling of Yersinia pestis using pyrosequencing technology.

Kingsley K Amoako1, Matthew C Thomas, Fanliang Kong, Timothy W Janzen, Kristen R Hahn, Michael J Shields, Noriko Goji.   

Abstract

When a bioterrorism attack is attempted or perpetrated there is considerable risk for public health and large scale socioeconomic consequences. It is imperative that we possess established assays for the rapid identification of biothreat agents with high sensitivity and specificity to ensure emergency response measures can be deployed appropriately. Highly trustworthy information within a relevant timeframe is required to make a rapid and informed decision. Obtaining DNA sequence data from a suspected agent provides an added layer of confidence compared to a presumptive positive PCR amplicon. Sequencing based technologies, such as pyrosequencing, have sufficient discrimination potential to be used for microbial identification and can also be used to identify antimicrobial resistance (AMR) genes. We have shown in this study the power of pyrosequencing in the unambiguous detection and identification of nine Yersinia pestis strains based on virulence genes. Furthermore, we developed assays to characterize their AMR gene profiles. Sequence results ranging from 40 to 84bp were generated in about 60 min following initial PCR amplification and provide a rapid method for determining the AMR profile as compared to the conventional plate method which takes several days. The high sequence identities (95-100%) and specificity observed indicate the high level of accuracy of pyrosequencing technology. In addition, the read lengths of up to 84 bp observed in this study are unprecedented for pyrosequencing using the Pyromark Q24. We propose this method as a novel, rapid, sequence based detection and identification tool for Y. pestis with a potential application in biodefence. Crown
Copyright © 2012. Published by Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 22634001     DOI: 10.1016/j.mimet.2012.05.012

Source DB:  PubMed          Journal:  J Microbiol Methods        ISSN: 0167-7012            Impact factor:   2.363


  7 in total

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Authors:  Flor Yazmín Ramírez-Castillo; Abraham Loera-Muro; Mario Jacques; Philippe Garneau; Francisco Javier Avelar-González; Josée Harel; Alma Lilián Guerrero-Barrera
Journal:  Pathogens       Date:  2015-05-21

2.  Evaluation of up-converting phosphor technology-based lateral flow strips for rapid detection of Bacillus anthracis Spore, Brucella spp., and Yersinia pestis.

Authors:  Pingping Zhang; Xiao Liu; Chengbin Wang; Yong Zhao; Fei Hua; Chunfeng Li; Ruifu Yang; Lei Zhou
Journal:  PLoS One       Date:  2014-08-21       Impact factor: 3.240

3.  Strain discrimination of Yersinia pestis using a SERS-based electrochemically driven melting curve analysis of variable number tandem repeat sequences.

Authors:  E Papadopoulou; N Gale; S A Goodchild; D W Cleary; S A Weller; T Brown; P N Bartlett
Journal:  Chem Sci       Date:  2015-01-07       Impact factor: 9.825

Review 4.  Antibiotic resistance in plant growth promoting bacteria: A comprehensive review and future perspectives to mitigate potential gene invasion risks.

Authors:  Ismail Mahdi; Nidal Fahsi; Mohamed Hijri; Mansour Sobeh
Journal:  Front Microbiol       Date:  2022-09-20       Impact factor: 6.064

5.  Rapid Detection and Identification of Yersinia pestis from Food Using Immunomagnetic Separation and Pyrosequencing.

Authors:  Kingsley K Amoako; Michael J Shields; Noriko Goji; Chantal Paquet; Matthew C Thomas; Timothy W Janzen; Cesar I Bin Kingombe; Arnold J Kell; Kristen R Hahn
Journal:  J Pathog       Date:  2012-10-03

6.  AdvISER-PYRO: Amplicon Identification using SparsE Representation of PYROsequencing signal.

Authors:  Jérôme Ambroise; Anne-Sophie Piette; Cathy Delcorps; Leen Rigouts; Bouke C de Jong; Leonid Irenge; Annie Robert; Jean-Luc Gala
Journal:  Bioinformatics       Date:  2013-06-14       Impact factor: 6.937

7.  Rapid detection of food-borne Salmonella contamination using IMBs-qPCR method based on pagC gene.

Authors:  Jiashun Wang; Yi Li; Jia Chen; Deping Hua; Yi Li; Hui Deng; Ying Li; Zhixuan Liang; Jinhai Huang
Journal:  Braz J Microbiol       Date:  2017-10-18       Impact factor: 2.476

  7 in total

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