Literature DB >> 23601179

Rapid bacterial genome sequencing: methods and applications in clinical microbiology.

C Bertelli1, G Greub.   

Abstract

The recent advances in sequencing technologies have given all microbiology laboratories access to whole genome sequencing. Providing that tools for the automated analysis of sequence data and databases for associated meta-data are developed, whole genome sequencing will become a routine tool for large clinical microbiology laboratories. Indeed, the continuing reduction in sequencing costs and the shortening of the 'time to result' makes it an attractive strategy in both research and diagnostics. Here, we review how high-throughput sequencing is revolutionizing clinical microbiology and the promise that it still holds. We discuss major applications, which include: (i) identification of target DNA sequences and antigens to rapidly develop diagnostic tools; (ii) precise strain identification for epidemiological typing and pathogen monitoring during outbreaks; and (iii) investigation of strain properties, such as the presence of antibiotic resistance or virulence factors. In addition, recent developments in comparative metagenomics and single-cell sequencing offer the prospect of a better understanding of complex microbial communities at the global and individual levels, providing a new perspective for understanding host-pathogen interactions. Being a high-resolution tool, high-throughput sequencing will increasingly influence diagnostics, epidemiology, risk management, and patient care.
© 2013 The Authors Clinical Microbiology and Infection © 2013 European Society of Clinical Microbiology and Infectious Diseases.

Entities:  

Keywords:  Antibiotic resistance; bacterial genome; diagnostic; high-throughput sequencing; virulence factor

Mesh:

Substances:

Year:  2013        PMID: 23601179     DOI: 10.1111/1469-0691.12217

Source DB:  PubMed          Journal:  Clin Microbiol Infect        ISSN: 1198-743X            Impact factor:   8.067


  64 in total

1.  Improving detection of Shiga toxin-producing Escherichia coli by molecular methods by reducing the interference of free Shiga toxin-encoding bacteriophages.

Authors:  Pablo Quirós; Alexandre Martínez-Castillo; Maite Muniesa
Journal:  Appl Environ Microbiol       Date:  2014-10-31       Impact factor: 4.792

Review 2.  Bacterial genomic epidemiology, from local outbreak characterization to species-history reconstruction.

Authors:  Stefano Gaiarsa; Leone De Marco; Francesco Comandatore; Piero Marone; Claudio Bandi; Davide Sassera
Journal:  Pathog Glob Health       Date:  2015       Impact factor: 2.894

3.  Development of a new real-time PCR system for simultaneous detection of bacteria and fungi in pathological samples.

Authors:  Hitomi Fukumoto; Yuko Sato; Hideki Hasegawa; Hidehisa Saeki; Harutaka Katano
Journal:  Int J Clin Exp Pathol       Date:  2015-11-01

Review 4.  Whole-genome sequencing in outbreak analysis.

Authors:  Carol A Gilchrist; Stephen D Turner; Margaret F Riley; William A Petri; Erik L Hewlett
Journal:  Clin Microbiol Rev       Date:  2015-07       Impact factor: 26.132

5.  Principles and Recommendations for Standardizing the Use of the Next-Generation Sequencing Variant File in Clinical Settings.

Authors:  Ira M Lubin; Nazneen Aziz; Lawrence J Babb; Dennis Ballinger; Himani Bisht; Deanna M Church; Shaun Cordes; Karen Eilbeck; Fiona Hyland; Lisa Kalman; Melissa Landrum; Edward R Lockhart; Donna Maglott; Gabor Marth; John D Pfeifer; Heidi L Rehm; Somak Roy; Zivana Tezak; Rebecca Truty; Mollie Ullman-Cullere; Karl V Voelkerding; Elizabeth A Worthey; Alexander W Zaranek; Justin M Zook
Journal:  J Mol Diagn       Date:  2017-03-18       Impact factor: 5.568

6.  Direct cloning and refactoring of a silent lipopeptide biosynthetic gene cluster yields the antibiotic taromycin A.

Authors:  Kazuya Yamanaka; Kirk A Reynolds; Roland D Kersten; Katherine S Ryan; David J Gonzalez; Victor Nizet; Pieter C Dorrestein; Bradley S Moore
Journal:  Proc Natl Acad Sci U S A       Date:  2014-01-21       Impact factor: 11.205

Review 7.  Clinical microbiology informatics.

Authors:  Daniel D Rhoads; Vitali Sintchenko; Carol A Rauch; Liron Pantanowitz
Journal:  Clin Microbiol Rev       Date:  2014-10       Impact factor: 26.132

8.  Evaluation of high-resolution melting curve analysis of ligation-mediated real-time PCR, a rapid method for epidemiological typing of ESKAPE (Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, and Enterobacter Species) pathogens.

Authors:  Hanna Woksepp; Anna Ryberg; Hanna Billström; Anita Hällgren; Lennart E Nilsson; Britt-Inger Marklund; Barbro Olsson-Liljequist; Thomas Schön
Journal:  J Clin Microbiol       Date:  2014-09-17       Impact factor: 5.948

9.  Typing and Species Identification of Clinical Klebsiella Isolates by Fourier Transform Infrared Spectroscopy and Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry.

Authors:  Ariane G Dinkelacker; Sophia Vogt; Philipp Oberhettinger; Norman Mauder; Jörg Rau; Markus Kostrzewa; John W A Rossen; Ingo B Autenrieth; Silke Peter; Jan Liese
Journal:  J Clin Microbiol       Date:  2018-10-25       Impact factor: 5.948

10.  The world's microbiology laboratories can be a global microbial sensor network.

Authors:  Thomas F O'Brien; John Stelling
Journal:  Biomedica       Date:  2014-04       Impact factor: 0.935

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