Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-4797
Title: Subspecies typing of Streptococcus agalactiae based on ribosomal subunit protein mass variation by MALDI-TOF MS
Authors : Rothen, Julian
Pothier, Joël F.
Foucault, Frédéric
Blom, Jochen
Nanayakkara, Dulmini
Li, Carmen
Ip, Margaret
Tanner, Marcel
Vogel, Guido
Pflüger, Valentin
Daubenberger, Claudia A.
Published in : Frontiers in Microbiology
Volume(Issue) : 10
Issue : 471
Publisher / Ed. Institution : Frontiers
Issue Date: 2019
License (according to publishing contract) : CC BY 4.0: Attribution 4.0 International
Type of review: Open peer review
Language : English
Subjects : Mass spectrometry; Diagnostics
Subject (DDC) : 540: Chemistry
570: Biology
Abstract: Background: A ribosomal subunit protein (rsp)-based matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) method was developed for fast subspecies-level typing of Streptococcus agalactiae (Group B Streptococcus, GBS), a major cause of neonatal sepsis and meningitis. Methods: A total of 796 GBS whole genome sequences, covering the genetic diversity of the global GBS population, were used to in silico predict molecular mass variability of 28 rsp and to identify unique rsp mass combinations, termed “rsp-profiles”. The in silico established GBS typing scheme was validated by MALDI-TOF MS analysis of GBS isolates at two independent research sites in Europe and South East Asia. Results: We identified in silico 62 rsp-profiles, with the majority (>80%) of the 796 GBS isolates displaying one of the six rsp-profiles 1–6. These dominant rsp-profiles classify GBS strains in high concordance with the core-genome based phylogenetic clustering. Validation of our approach by in-house MALDI-TOF MS analysis of 248 GBS isolates and external analysis of 8 GBS isolates showed that across different laboratories and MALDI-TOF MS platforms, the 28 rsp were detected reliably in the mass spectra, allowing assignment of clinical isolates to rsp-profiles at high sensitivity (99%) and specificity (97%). Our approach distinguishes the major phylogenetic GBS genotypes, identifies hyper-virulent strains, predicts the probable capsular serotype and surface protein variants and distinguishes between GBS genotypes of human and animal origin. Conclusion: We combine the information depth of whole genome sequences with the highly cost efficient, rapid and robust MALDI-TOF MS approach facilitating high-throughput, inter-laboratory, large-scale GBS epidemiological and clinical studies based on pre-defined rsp-profiles.
Departement: Life Sciences and Facility Management
Organisational Unit: Institute of Natural Resource Sciences (IUNR)
Publication type: Article in scientific Journal
DOI : 10.3389/fmicb.2019.00471
10.21256/zhaw-4797
ISSN: 1664-302X
URI: https://digitalcollection.zhaw.ch/handle/11475/16069
Published as part of the ZHAW project : MALDI-TOF MS for microorganism identification: from pattern recognition towards marker based approaches
Appears in Collections:Publikationen Life Sciences und Facility Management

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