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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...
Autores principales: | , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2008
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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. |
format | Text |
id | pubmed-2648626 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
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
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title_full | Combining Microarray Technology and Molecular Epidemiology to Identify Genes Associated with Invasive Group B Streptococcus
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title_fullStr | Combining Microarray Technology and Molecular Epidemiology to Identify Genes Associated with Invasive Group B Streptococcus
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title_full_unstemmed | Combining Microarray Technology and Molecular Epidemiology to Identify Genes Associated with Invasive Group B Streptococcus
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title_short | Combining Microarray Technology and Molecular Epidemiology to Identify Genes Associated with Invasive Group B Streptococcus
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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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