Details

Autor(en) / Beteiligte

• Deurenberg, Ruud H.
• Bathoorn, Erik
• Chlebowicz, Monika A.
• Couto, Natacha
• Ferdous, Mithila
• García-Cobos, Silvia
• Kooistra-Smid, Anna M.D.
• Raangs, Erwin C.
• Rosema, Sigrid
• Veloo, Alida C.M.
• Zhou, Kai
• Friedrich, Alexander W.
• Rossen, John W.A.

Titel

Application of next generation sequencing in clinical microbiology and infection prevention

Ist Teil von

• Journal of biotechnology, 2017-02, Vol.243, p.16-24

Ort / Verlag

Netherlands: Elsevier B.V

Erscheinungsjahr

2017

Link zum Volltext

Quelle

Elsevier ScienceDirect Journals Complete

Beschreibungen/Notizen

• •Next generation sequencing makes it possible to standardise methods.•Next generation sequencing has a large number of applications in clinical microbiology.•Next generation sequencing can be used to track outbreak-specific clones.•Next generation sequencing makes personalised microbiology possible. 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.