Identification of Rare Bacterial Pathogens by 16S rRNA Gene Sequencing and MALDI-TOF MS

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Beitragende

  • Percy Schröttner - , Institut für Klinische Chemie und Laboratoriumsmedizin, Medizinische Fakultät Carl Gustav Carus Dresden (Autor:in)
  • Florian Gunzer - , Institut für Medizinische Mikrobiologie und Virologie (Autor:in)
  • Jana Schüppel - , Institut für Medizinische Mikrobiologie und Virologie (Autor:in)
  • Wolfram W Rudolph - , Institut für Medizinische Mikrobiologie und Virologie (Autor:in)

Abstract

There are a number of rare and, therefore, insufficiently described bacterial pathogens which are reported to cause severe infections especially in immunocompromised patients. In most cases only few data, mostly published as case reports, are available which investigate the role of such pathogens as an infectious agent. Therefore, in order to clarify the pathogenic character of such microorganisms, it is necessary to conduct epidemiologic studies which include large numbers of these bacteria. The methods used in such a surveillance study have to meet the following criteria: the identification of the strains has to be accurate according to the valid nomenclature, they should be easy to handle (robustness), economical in routine diagnostics and they have to generate comparable results among different laboratories. Generally, there are three strategies for identifying bacterial strains in a routine setting: 1) phenotypic identification characterizing the biochemical and metabolic properties of the bacteria, 2) molecular techniques such as 16S rRNA gene sequencing and 3) mass spectrometry as a novel proteome based approach. Since mass spectrometry and molecular approaches are the most promising tools for identifying a large variety of bacterial species, these two methods are described. Advances, limitations and potential problems when using these techniques are discussed.

Details

OriginalspracheEnglisch
FachzeitschriftJournal of visualized experiments : JoVE
Ausgabenummer113
PublikationsstatusVeröffentlicht - 11 Juli 2016
Peer-Review-StatusJa

Externe IDs

PubMedCentral PMC4993432
Scopus 84979929565

Schlagworte

Schlagwörter

  • Bacteria/classification, Bacterial Infections/diagnosis, Humans, Proteomics/methods, RNA, Ribosomal, 16S/genetics, Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization