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Genomic Islands as a Marker to Differentiate between Clinical and Environmental Burkholderia pseudomallei
Burkholderia pseudomallei, as a saprophytic bacterium that can cause a severe sepsis disease named melioidosis, has preserved several extra genes in its genome for survival. The sequenced genome of the organism showed high diversity contributed mainly from genomic islands (GIs). Comparative genome h...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3365882/ https://www.ncbi.nlm.nih.gov/pubmed/22675491 http://dx.doi.org/10.1371/journal.pone.0037762 |
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author | Bartpho, Thanatchaporn Wongsurawat, Thidathip Wongratanacheewin, Surasakdi Talaat, Adel M. Karoonuthaisiri, Nitsara Sermswan, Rasana W. |
author_facet | Bartpho, Thanatchaporn Wongsurawat, Thidathip Wongratanacheewin, Surasakdi Talaat, Adel M. Karoonuthaisiri, Nitsara Sermswan, Rasana W. |
author_sort | Bartpho, Thanatchaporn |
collection | PubMed |
description | Burkholderia pseudomallei, as a saprophytic bacterium that can cause a severe sepsis disease named melioidosis, has preserved several extra genes in its genome for survival. The sequenced genome of the organism showed high diversity contributed mainly from genomic islands (GIs). Comparative genome hybridization (CGH) of 3 clinical and 2 environmental isolates, using whole genome microarrays based on B. pseudomallei K96243 genes, revealed a difference in the presence of genomic islands between clinical and environmental isolates. The largest GI, GI8, of B. pseudomallei was observed as a 2 sub-GI named GIs8.1 and 8.2 with distinguishable %GC content and unequal presence in the genome. GIs8.1, 8.2 and 15 were found to be more common in clinical isolates. A new GI, GI16c, was detected on chromosome 2. Presences of GIs8.1, 8.2, 15 and 16c were evaluated in 70 environmental and 64 clinical isolates using PCR assays. A combination of GIs8.1 and 16c (positivity of either GI) was detected in 70% of clinical isolates and 11.4% of environmental isolates (P<0.001). Using BALB/c mice model, no significant difference of time to mortality was observed between K96243 isolate and three isolates without GIs under evaluation (P>0.05). Some virulence genes located in the absent GIs and the difference of GIs seems to contribute less to bacterial virulence. The PCR detection of 2 GIs could be used as a cost effective and rapid tool to detect potentially virulent isolates that were contaminated in soil. |
format | Online Article Text |
id | pubmed-3365882 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-33658822012-06-06 Genomic Islands as a Marker to Differentiate between Clinical and Environmental Burkholderia pseudomallei Bartpho, Thanatchaporn Wongsurawat, Thidathip Wongratanacheewin, Surasakdi Talaat, Adel M. Karoonuthaisiri, Nitsara Sermswan, Rasana W. PLoS One Research Article Burkholderia pseudomallei, as a saprophytic bacterium that can cause a severe sepsis disease named melioidosis, has preserved several extra genes in its genome for survival. The sequenced genome of the organism showed high diversity contributed mainly from genomic islands (GIs). Comparative genome hybridization (CGH) of 3 clinical and 2 environmental isolates, using whole genome microarrays based on B. pseudomallei K96243 genes, revealed a difference in the presence of genomic islands between clinical and environmental isolates. The largest GI, GI8, of B. pseudomallei was observed as a 2 sub-GI named GIs8.1 and 8.2 with distinguishable %GC content and unequal presence in the genome. GIs8.1, 8.2 and 15 were found to be more common in clinical isolates. A new GI, GI16c, was detected on chromosome 2. Presences of GIs8.1, 8.2, 15 and 16c were evaluated in 70 environmental and 64 clinical isolates using PCR assays. A combination of GIs8.1 and 16c (positivity of either GI) was detected in 70% of clinical isolates and 11.4% of environmental isolates (P<0.001). Using BALB/c mice model, no significant difference of time to mortality was observed between K96243 isolate and three isolates without GIs under evaluation (P>0.05). Some virulence genes located in the absent GIs and the difference of GIs seems to contribute less to bacterial virulence. The PCR detection of 2 GIs could be used as a cost effective and rapid tool to detect potentially virulent isolates that were contaminated in soil. Public Library of Science 2012-06-01 /pmc/articles/PMC3365882/ /pubmed/22675491 http://dx.doi.org/10.1371/journal.pone.0037762 Text en Bartpho 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 Bartpho, Thanatchaporn Wongsurawat, Thidathip Wongratanacheewin, Surasakdi Talaat, Adel M. Karoonuthaisiri, Nitsara Sermswan, Rasana W. Genomic Islands as a Marker to Differentiate between Clinical and Environmental Burkholderia pseudomallei |
title | Genomic Islands as a Marker to Differentiate between Clinical and Environmental Burkholderia pseudomallei
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title_full | Genomic Islands as a Marker to Differentiate between Clinical and Environmental Burkholderia pseudomallei
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title_fullStr | Genomic Islands as a Marker to Differentiate between Clinical and Environmental Burkholderia pseudomallei
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title_full_unstemmed | Genomic Islands as a Marker to Differentiate between Clinical and Environmental Burkholderia pseudomallei
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title_short | Genomic Islands as a Marker to Differentiate between Clinical and Environmental Burkholderia pseudomallei
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title_sort | genomic islands as a marker to differentiate between clinical and environmental burkholderia pseudomallei |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3365882/ https://www.ncbi.nlm.nih.gov/pubmed/22675491 http://dx.doi.org/10.1371/journal.pone.0037762 |
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