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Subspecies Typing of Streptococcus agalactiae Based on Ribosomal Subunit Protein Mass Variation by MALDI-TOF MS

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 meningi...

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Autores principales: Rothen, Julian, Pothier, Joël F., Foucault, Frédéric, Blom, Jochen, Nanayakkara, Dulmini, Li, Carmen, Ip, Margaret, Tanner, Marcel, Vogel, Guido, Pflüger, Valentin, Daubenberger, Claudia A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6421976/
https://www.ncbi.nlm.nih.gov/pubmed/30915057
http://dx.doi.org/10.3389/fmicb.2019.00471
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author Rothen, Julian
Pothier, Joël F.
Foucault, Frédéric
Blom, Jochen
Nanayakkara, Dulmini
Li, Carmen
Ip, Margaret
Tanner, Marcel
Vogel, Guido
Pflüger, Valentin
Daubenberger, Claudia A.
author_facet Rothen, Julian
Pothier, Joël F.
Foucault, Frédéric
Blom, Jochen
Nanayakkara, Dulmini
Li, Carmen
Ip, Margaret
Tanner, Marcel
Vogel, Guido
Pflüger, Valentin
Daubenberger, Claudia A.
author_sort Rothen, Julian
collection PubMed
description 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.
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spelling pubmed-64219762019-03-26 Subspecies Typing of Streptococcus agalactiae Based on Ribosomal Subunit Protein Mass Variation by MALDI-TOF MS Rothen, Julian Pothier, Joël F. Foucault, Frédéric Blom, Jochen Nanayakkara, Dulmini Li, Carmen Ip, Margaret Tanner, Marcel Vogel, Guido Pflüger, Valentin Daubenberger, Claudia A. Front Microbiol Microbiology 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. Frontiers Media S.A. 2019-03-11 /pmc/articles/PMC6421976/ /pubmed/30915057 http://dx.doi.org/10.3389/fmicb.2019.00471 Text en Copyright © 2019 Rothen, Pothier, Foucault, Blom, Nanayakkara, Li, Ip, Tanner, Vogel, Pflüger and Daubenberger. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Rothen, Julian
Pothier, Joël F.
Foucault, Frédéric
Blom, Jochen
Nanayakkara, Dulmini
Li, Carmen
Ip, Margaret
Tanner, Marcel
Vogel, Guido
Pflüger, Valentin
Daubenberger, Claudia A.
Subspecies Typing of Streptococcus agalactiae Based on Ribosomal Subunit Protein Mass Variation by MALDI-TOF MS
title Subspecies Typing of Streptococcus agalactiae Based on Ribosomal Subunit Protein Mass Variation by MALDI-TOF MS
title_full Subspecies Typing of Streptococcus agalactiae Based on Ribosomal Subunit Protein Mass Variation by MALDI-TOF MS
title_fullStr Subspecies Typing of Streptococcus agalactiae Based on Ribosomal Subunit Protein Mass Variation by MALDI-TOF MS
title_full_unstemmed Subspecies Typing of Streptococcus agalactiae Based on Ribosomal Subunit Protein Mass Variation by MALDI-TOF MS
title_short Subspecies Typing of Streptococcus agalactiae Based on Ribosomal Subunit Protein Mass Variation by MALDI-TOF MS
title_sort subspecies typing of streptococcus agalactiae based on ribosomal subunit protein mass variation by maldi-tof ms
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6421976/
https://www.ncbi.nlm.nih.gov/pubmed/30915057
http://dx.doi.org/10.3389/fmicb.2019.00471
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