Literature DB >> 28042011

Application of next generation sequencing in clinical microbiology and infection prevention.

Ruud H Deurenberg1, Erik Bathoorn1, Monika A Chlebowicz1, Natacha Couto1, Mithila Ferdous1, Silvia García-Cobos1, Anna M D Kooistra-Smid2, Erwin C Raangs1, Sigrid Rosema1, Alida C M Veloo1, Kai Zhou3, Alexander W Friedrich1, John W A Rossen4.   

Abstract

Current molecular diagnostics of human pathogens provide limited information that is often not sufficient for outbreak and transmission investigation. Next generation sequencing (NGS) determines the DNA sequence of a complete bacterial genome in a single sequence run, and from these data, information on resistance and virulence, as well as information for typing is obtained, useful for outbreak investigation. The obtained genome data can be further used for the development of an outbreak-specific screening test. In this review, a general introduction to NGS is presented, including the library preparation and the major characteristics of the most common NGS platforms, such as the MiSeq (Illumina) and the Ion PGM™ (ThermoFisher). An overview of the software used for NGS data analyses used at the medical microbiology diagnostic laboratory in the University Medical Center Groningen in The Netherlands is given. Furthermore, applications of NGS in the clinical setting are described, such as outbreak management, molecular case finding, characterization and surveillance of pathogens, rapid identification of bacteria using the 16S-23S rRNA region, taxonomy, metagenomics approaches on clinical samples, and the determination of the transmission of zoonotic micro-organisms from animals to humans. Finally, we share our vision on the use of NGS in personalised microbiology in the near future, pointing out specific requirements.
Copyright © 2016 The Author(s). Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Clinical microbiology; Infection prevention; Ion PGM(™); MiSeq; Next generation sequencing; Whole genome sequencing

Mesh:

Substances:

Year:  2016        PMID: 28042011     DOI: 10.1016/j.jbiotec.2016.12.022

Source DB:  PubMed          Journal:  J Biotechnol        ISSN: 0168-1656            Impact factor:   3.307


  105 in total

1.  Next-generation sequencing capacity and capabilities within the National Animal Health Laboratory Network.

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2.  Sequence Comparison Without Alignment: The SpaM Approaches.

Authors:  Burkhard Morgenstern
Journal:  Methods Mol Biol       Date:  2021

3.  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

4.  Integrated Stewardship Model Comprising Antimicrobial, Infection Prevention, and Diagnostic Stewardship (AID Stewardship).

Authors:  J H Dik; R Poelman; A W Friedrich; H G M Niesters; J W A Rossen; B Sinha
Journal:  J Clin Microbiol       Date:  2017-11       Impact factor: 5.948

5.  Herpes Simplex Virus Disease Management and Diagnostics in the Era of High-Throughput Sequencing.

Authors:  Utsav Pandey; Moriah L Szpara
Journal:  Clin Microbiol Newsl       Date:  2019-02-19

Review 6.  Performance and Application of 16S rRNA Gene Cycle Sequencing for Routine Identification of Bacteria in the Clinical Microbiology Laboratory.

Authors:  Deirdre L Church; Lorenzo Cerutti; Antoine Gürtler; Thomas Griener; Adrian Zelazny; Stefan Emler
Journal:  Clin Microbiol Rev       Date:  2020-09-09       Impact factor: 26.132

Review 7.  Third-Generation Sequencing in the Clinical Laboratory: Exploring the Advantages and Challenges of Nanopore Sequencing.

Authors:  Lauren M Petersen; Isabella W Martin; Wayne E Moschetti; Colleen M Kershaw; Gregory J Tsongalis
Journal:  J Clin Microbiol       Date:  2019-12-23       Impact factor: 5.948

8.  Metatranscriptomics reveals that the death of a Mongolian wild ass was caused by Clostridium botulinum in Inner Mongolia, China.

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Journal:  J Vet Diagn Invest       Date:  2020-02-15       Impact factor: 1.279

Review 9.  Population Biology and Comparative Genomics of Campylobacter Species.

Authors:  Lennard Epping; Esther-Maria Antão; Torsten Semmler
Journal:  Curr Top Microbiol Immunol       Date:  2021       Impact factor: 4.291

Review 10.  Clinical Metagenomic Next-Generation Sequencing for Pathogen Detection.

Authors:  Wei Gu; Steve Miller; Charles Y Chiu
Journal:  Annu Rev Pathol       Date:  2018-10-24       Impact factor: 23.472

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