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 invas...
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| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2008-01-01
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| Series: | Interdisciplinary Perspectives on Infectious Diseases |
| Online Access: | http://dx.doi.org/10.1155/2008/314762 |
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| _version_ | 1832559031821008896 |
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| author | Lixin Zhang Usha Reddi Usha Srinivasan Sheng Li Stephanie M. Borchardt Parvathy Pillai Puja Mehta Anne N. Styka Joan DeBusscher Carl F. Marrs Betsy Foxman |
| author_facet | Lixin Zhang Usha Reddi Usha Srinivasan Sheng Li Stephanie M. Borchardt Parvathy Pillai Puja Mehta Anne N. Styka Joan DeBusscher Carl F. Marrs Betsy Foxman |
| author_sort | Lixin Zhang |
| collection | DOAJ |
| 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 | Article |
| id | doaj-art-cce5746edbe34278b1d163120c1bcc5a |
| institution | Kabale University |
| issn | 1687-708X 1687-7098 |
| language | English |
| publishDate | 2008-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Interdisciplinary Perspectives on Infectious Diseases |
| spelling | doaj-art-cce5746edbe34278b1d163120c1bcc5a2025-02-03T01:30:59ZengWileyInterdisciplinary Perspectives on Infectious Diseases1687-708X1687-70982008-01-01200810.1155/2008/314762314762Combining Microarray Technology and Molecular Epidemiology to Identify Genes Associated with Invasive Group B StreptococcusLixin Zhang0Usha Reddi1Usha Srinivasan2Sheng Li3Stephanie M. Borchardt4Parvathy Pillai5Puja Mehta6Anne N. Styka7Joan DeBusscher8Carl F. Marrs9Betsy Foxman10Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI 48109, USAProgram in Bioinformatics, Eastern Michigan University, Ypsilanti, MI 48197, USADepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI 48109, USADepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI 48109, USADepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI 48109, USADepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI 48109, USADepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI 48109, USADepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI 48109, USADepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI 48109, USADepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI 48109, USADepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI 48109, USAMany 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.http://dx.doi.org/10.1155/2008/314762 |
| spellingShingle | Lixin Zhang Usha Reddi Usha Srinivasan Sheng Li Stephanie M. Borchardt Parvathy Pillai Puja Mehta Anne N. Styka Joan DeBusscher Carl F. Marrs Betsy Foxman Combining Microarray Technology and Molecular Epidemiology to Identify Genes Associated with Invasive Group B Streptococcus Interdisciplinary Perspectives on Infectious Diseases |
| 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 |
| url | http://dx.doi.org/10.1155/2008/314762 |
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