Literature DB >> 22658426

A novel method for simultaneous Enterococcus species identification/typing and van genotyping by high resolution melt analysis.

Volker Gurtler1, Danilla Grando, Barrie C Mayall, Jenny Wang, Shahbano Ghaly-Derias.   

Abstract

In order to develop a typing and identification method for van gene containing Enterococcus faecium, two multiplex PCR reactions were developed for use in HRM-PCR (High Resolution Melt-PCR): (i) vanA, vanB, vanC, vanC23 to detect van genes from different Enterococcus species; (ii) ISR (intergenic spacer region between the 16S and 23S rRNA genes) to detect all Enterococcus species and obtain species and isolate specific HRM curves. To test and validate the method three groups of isolates were tested: (i) 1672 Enterococcus species isolates from January 2009 to December 2009; (ii) 71 isolates previously identified and typed by PFGE (pulsed-field gel electrophoresis) and MLST (multi-locus sequence typing); and (iii) 18 of the isolates from (i) for which ISR sequencing was done. As well as successfully identifying 2 common genotypes by HRM from the Austin Hospital clinical isolates, this study analysed the sequences of all the vanB genes deposited in GenBank and developed a numerical classification scheme for the standardised naming of these vanB genotypes. The identification of Enterococcus faecalis from E. faecium was reliable and stable using ISR PCR. The typing of E. faecium by ISR PCR: (i) detected two variable peaks corresponding to different copy numbers of insertion sequences I and II corresponding to peak I and II respectively; (ii) produced 7 melt profiles for E. faecium with variable copy numbers of sequences I and II; (iii) demonstrated stability and instability of peak heights with equal frequency within the patient sample (36.4±4.5 days and 38.6±5.8 days respectively for 192 patients); (iv) detected ISR-HRM types with as much discrimination as PFGE and more than MLST; and (v) detected ISR-HRM types that differentiated some isolates that were identical by PFGE and MLST. In conjunction with the rapid and accurate van genotyping method described here, this ISR-HRM typing and identification method can be used as a stable identification and typing method with predictable instability based on recombination and concerted evolution of the rrn operon that will complement existing typing methods. Crown
Copyright © 2012. Published by Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 22658426     DOI: 10.1016/j.mimet.2012.05.002

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


  7 in total

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Journal:  PLoS One       Date:  2014-10-02       Impact factor: 3.240

2.  Insertions or deletions (Indels) in the rrn 16S-23S rRNA gene internal transcribed spacer region (ITS) compromise the typing and identification of strains within the Acinetobacter calcoaceticus-baumannii (Acb) complex and closely related members.

Authors:  Christopher Maslunka; Bianca Gifford; Joseph Tucci; Volker Gürtler; Robert J Seviour
Journal:  PLoS One       Date:  2014-08-20       Impact factor: 3.240

3.  Microbial Typing by Machine Learned DNA Melt Signatures.

Authors:  Nadya Andini; Bo Wang; Pornpat Athamanolap; Justin Hardick; Billie J Masek; Simone Thair; Anne Hu; Gideon Avornu; Stephen Peterson; Steven Cogill; Richard E Rothman; Karen C Carroll; Charlotte A Gaydos; Jeff Tza-Huei Wang; Serafim Batzoglou; Samuel Yang
Journal:  Sci Rep       Date:  2017-02-06       Impact factor: 4.379

4.  Massively parallel digital high resolution melt for rapid and absolutely quantitative sequence profiling.

Authors:  Daniel Ortiz Velez; Hannah Mack; Julietta Jupe; Sinead Hawker; Ninad Kulkarni; Behnam Hedayatnia; Yang Zhang; Shelley Lawrence; Stephanie I Fraley
Journal:  Sci Rep       Date:  2017-02-08       Impact factor: 4.379

5.  A Novel Biofilm Model System to Visualise Conjugal Transfer of Vancomycin Resistance by Environmental Enterococci.

Authors:  Michael Conwell; James S G Dooley; Patrick J Naughton
Journal:  Microorganisms       Date:  2021-04-09

6.  Nested Machine Learning Facilitates Increased Sequence Content for Large-Scale Automated High Resolution Melt Genotyping.

Authors:  Stephanie I Fraley; Pornpat Athamanolap; Billie J Masek; Justin Hardick; Karen C Carroll; Yu-Hsiang Hsieh; Richard E Rothman; Charlotte A Gaydos; Tza-Huei Wang; Samuel Yang
Journal:  Sci Rep       Date:  2016-01-18       Impact factor: 4.379

7.  Rapid detection of Mycoplasma mycoides subsp. capri and Mycoplasma capricolum subsp. capripneumoniae using high-resolution melting curve analysis.

Authors:  Jing-Peng Zhang; Zhi-Cheng Liu; Jin-Xiu Jiang; Yu-Sheng Lin; Wei You; Qi-Lin Hu
Journal:  Sci Rep       Date:  2021-07-28       Impact factor: 4.379

  7 in total

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