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A Functional Gene Array for Detection of Bacterial Virulence Elements
Emerging known and unknown pathogens create profound threats to public health. Platforms for rapid detection and characterization of microbial agents are critically needed to prevent and respond to disease outbreaks. Available detection technologies cannot provide broad functional information about...
Autores principales: | , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2367441/ https://www.ncbi.nlm.nih.gov/pubmed/18478124 http://dx.doi.org/10.1371/journal.pone.0002163 |
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author | Jaing, Crystal Gardner, Shea McLoughlin, Kevin Mulakken, Nisha Alegria-Hartman, Michelle Banda, Phillip Williams, Peter Gu, Pauline Wagner, Mark Manohar, Chitra Slezak, Tom |
author_facet | Jaing, Crystal Gardner, Shea McLoughlin, Kevin Mulakken, Nisha Alegria-Hartman, Michelle Banda, Phillip Williams, Peter Gu, Pauline Wagner, Mark Manohar, Chitra Slezak, Tom |
author_sort | Jaing, Crystal |
collection | PubMed |
description | Emerging known and unknown pathogens create profound threats to public health. Platforms for rapid detection and characterization of microbial agents are critically needed to prevent and respond to disease outbreaks. Available detection technologies cannot provide broad functional information about known or novel organisms. As a step toward developing such a system, we have produced and tested a series of high-density functional gene arrays to detect elements of virulence and antibiotic resistance mechanisms. Our first generation array targets genes from Escherichia coli strains K12 and CFT073, Enterococcus faecalis and Staphylococcus aureus. We determined optimal probe design parameters for gene family detection and discrimination. When tested with organisms at varying phylogenetic distances from the four target strains, the array detected orthologs for the majority of targeted gene families present in bacteria belonging to the same taxonomic family. In combination with whole-genome amplification, the array detects femtogram concentrations of purified DNA, either spiked in to an aerosol sample background, or in combinations from one or more of the four target organisms. This is the first report of a high density NimbleGen microarray system targeting microbial antibiotic resistance and virulence mechanisms. By targeting virulence gene families as well as genes unique to specific biothreat agents, these arrays will provide important data about the pathogenic potential and drug resistance profiles of unknown organisms in environmental samples. |
format | Text |
id | pubmed-2367441 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-23674412008-05-14 A Functional Gene Array for Detection of Bacterial Virulence Elements Jaing, Crystal Gardner, Shea McLoughlin, Kevin Mulakken, Nisha Alegria-Hartman, Michelle Banda, Phillip Williams, Peter Gu, Pauline Wagner, Mark Manohar, Chitra Slezak, Tom PLoS One Research Article Emerging known and unknown pathogens create profound threats to public health. Platforms for rapid detection and characterization of microbial agents are critically needed to prevent and respond to disease outbreaks. Available detection technologies cannot provide broad functional information about known or novel organisms. As a step toward developing such a system, we have produced and tested a series of high-density functional gene arrays to detect elements of virulence and antibiotic resistance mechanisms. Our first generation array targets genes from Escherichia coli strains K12 and CFT073, Enterococcus faecalis and Staphylococcus aureus. We determined optimal probe design parameters for gene family detection and discrimination. When tested with organisms at varying phylogenetic distances from the four target strains, the array detected orthologs for the majority of targeted gene families present in bacteria belonging to the same taxonomic family. In combination with whole-genome amplification, the array detects femtogram concentrations of purified DNA, either spiked in to an aerosol sample background, or in combinations from one or more of the four target organisms. This is the first report of a high density NimbleGen microarray system targeting microbial antibiotic resistance and virulence mechanisms. By targeting virulence gene families as well as genes unique to specific biothreat agents, these arrays will provide important data about the pathogenic potential and drug resistance profiles of unknown organisms in environmental samples. Public Library of Science 2008-05-14 /pmc/articles/PMC2367441/ /pubmed/18478124 http://dx.doi.org/10.1371/journal.pone.0002163 Text en Jaing et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Jaing, Crystal Gardner, Shea McLoughlin, Kevin Mulakken, Nisha Alegria-Hartman, Michelle Banda, Phillip Williams, Peter Gu, Pauline Wagner, Mark Manohar, Chitra Slezak, Tom A Functional Gene Array for Detection of Bacterial Virulence Elements |
title | A Functional Gene Array for Detection of Bacterial Virulence Elements |
title_full | A Functional Gene Array for Detection of Bacterial Virulence Elements |
title_fullStr | A Functional Gene Array for Detection of Bacterial Virulence Elements |
title_full_unstemmed | A Functional Gene Array for Detection of Bacterial Virulence Elements |
title_short | A Functional Gene Array for Detection of Bacterial Virulence Elements |
title_sort | functional gene array for detection of bacterial virulence elements |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2367441/ https://www.ncbi.nlm.nih.gov/pubmed/18478124 http://dx.doi.org/10.1371/journal.pone.0002163 |
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