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Combining Microarray Technology and Molecular Epidemiology to Identify Genes Associated with Invasive Group B Streptococcus

Many bacterial species function as both commensals and pathogens; we used this dual nature to develop a high-throughput molecular epidemiological approach to identifying bacterial virulence genes. We applied our approach to Group B Streptococcus (GBS). Three representative commensal and one invasive...

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Autores principales: Zhang, Lixin, Reddi, Usha, Srinivasan, Usha, Li, Sheng, Borchardt, Stephanie M., Pillai, Parvathy, Mehta, Puja, Styka, Anne N., DeBusscher, Joan, Marrs, Carl F., Foxman, Betsy
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2648626/
https://www.ncbi.nlm.nih.gov/pubmed/19259326
http://dx.doi.org/10.1155/2008/314762
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author Zhang, Lixin
Reddi, Usha
Srinivasan, Usha
Li, Sheng
Borchardt, Stephanie M.
Pillai, Parvathy
Mehta, Puja
Styka, Anne N.
DeBusscher, Joan
Marrs, Carl F.
Foxman, Betsy
author_facet Zhang, Lixin
Reddi, Usha
Srinivasan, Usha
Li, Sheng
Borchardt, Stephanie M.
Pillai, Parvathy
Mehta, Puja
Styka, Anne N.
DeBusscher, Joan
Marrs, Carl F.
Foxman, Betsy
author_sort Zhang, Lixin
collection PubMed
description Many bacterial species function as both commensals and pathogens; we used this dual nature to develop a high-throughput molecular epidemiological approach to identifying bacterial virulence genes. We applied our approach to Group B Streptococcus (GBS). Three representative commensal and one invasive GBS isolates were selected as tester strains from a population-based collection. We used microarray-based comparative genomic hybridization to identify open reading frames (ORFs) present in two sequenced invasive strains, but absent or divergent in tester strains. We screened 23 variable ORFs against 949 GBS isolates using a GBS Library on a Slide (LOS) microarray platform. Four ORFs occurred more frequently in invasive than commensal isolates, and one appeared more frequently in commensal isolates. Comparative hybridization using an oligonucleotide microarray, combined with epidemiologic screening using the LOS microarray platform, enabled rapid identification of bacterial genes potentially associated with pathogenicity.
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spelling pubmed-26486262009-03-03 Combining Microarray Technology and Molecular Epidemiology to Identify Genes Associated with Invasive Group B Streptococcus Zhang, Lixin Reddi, Usha Srinivasan, Usha Li, Sheng Borchardt, Stephanie M. Pillai, Parvathy Mehta, Puja Styka, Anne N. DeBusscher, Joan Marrs, Carl F. Foxman, Betsy Interdiscip Perspect Infect Dis Research Article Many bacterial species function as both commensals and pathogens; we used this dual nature to develop a high-throughput molecular epidemiological approach to identifying bacterial virulence genes. We applied our approach to Group B Streptococcus (GBS). Three representative commensal and one invasive GBS isolates were selected as tester strains from a population-based collection. We used microarray-based comparative genomic hybridization to identify open reading frames (ORFs) present in two sequenced invasive strains, but absent or divergent in tester strains. We screened 23 variable ORFs against 949 GBS isolates using a GBS Library on a Slide (LOS) microarray platform. Four ORFs occurred more frequently in invasive than commensal isolates, and one appeared more frequently in commensal isolates. Comparative hybridization using an oligonucleotide microarray, combined with epidemiologic screening using the LOS microarray platform, enabled rapid identification of bacterial genes potentially associated with pathogenicity. Hindawi Publishing Corporation 2008 2008-02-25 /pmc/articles/PMC2648626/ /pubmed/19259326 http://dx.doi.org/10.1155/2008/314762 Text en Copyright © 2008 Lixin Zhang et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Zhang, Lixin
Reddi, Usha
Srinivasan, Usha
Li, Sheng
Borchardt, Stephanie M.
Pillai, Parvathy
Mehta, Puja
Styka, Anne N.
DeBusscher, Joan
Marrs, Carl F.
Foxman, Betsy
Combining Microarray Technology and Molecular Epidemiology to Identify Genes Associated with Invasive Group B Streptococcus
title Combining Microarray Technology and Molecular Epidemiology to Identify Genes Associated with Invasive Group B Streptococcus
title_full Combining Microarray Technology and Molecular Epidemiology to Identify Genes Associated with Invasive Group B Streptococcus
title_fullStr Combining Microarray Technology and Molecular Epidemiology to Identify Genes Associated with Invasive Group B Streptococcus
title_full_unstemmed Combining Microarray Technology and Molecular Epidemiology to Identify Genes Associated with Invasive Group B Streptococcus
title_short Combining Microarray Technology and Molecular Epidemiology to Identify Genes Associated with Invasive Group B Streptococcus
title_sort combining microarray technology and molecular epidemiology to identify genes associated with invasive group b streptococcus
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2648626/
https://www.ncbi.nlm.nih.gov/pubmed/19259326
http://dx.doi.org/10.1155/2008/314762
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