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Experimental annotation of the human pathogen Histoplasma capsulatum transcribed regions using high-resolution tiling arrays
BACKGROUND: The fungal pathogen Histoplasma capsulatum is thought to be the most common cause of fungal respiratory infections in immunocompetent humans, yet little is known about its biology. Here we provide the first genome-wide studies to experimentally validate its genome annotation. A functiona...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3207942/ https://www.ncbi.nlm.nih.gov/pubmed/21958208 http://dx.doi.org/10.1186/1471-2180-11-216 |
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author | Voorhies, Mark Foo, Catherine K Sil, Anita |
author_facet | Voorhies, Mark Foo, Catherine K Sil, Anita |
author_sort | Voorhies, Mark |
collection | PubMed |
description | BACKGROUND: The fungal pathogen Histoplasma capsulatum is thought to be the most common cause of fungal respiratory infections in immunocompetent humans, yet little is known about its biology. Here we provide the first genome-wide studies to experimentally validate its genome annotation. A functional interrogation of the Histoplasma genome provides critical support for continued investigation into the biology and pathogenesis of H. capsulatum and related fungi. RESULTS: We employed a three-pronged approach to provide a functional annotation for the H. capsulatum G217B strain. First, we probed high-density tiling arrays with labeled cDNAs from cells grown under diverse conditions. These data defined 6,172 transcriptionally active regions (TARs), providing validation of 6,008 gene predictions. Interestingly, 22% of these predictions showed evidence of anti-sense transcription. Additionally, we detected transcription of 264 novel genes not present in the original gene predictions. To further enrich our analysis, we incorporated expression data from whole-genome oligonucleotide microarrays. These expression data included profiling under growth conditions that were not represented in the tiling experiment, and validated an additional 2,249 gene predictions. Finally, we compared the G217B gene predictions to other available fungal genomes, and observed that an additional 254 gene predictions had an ortholog in a different fungal species, suggesting that they represent genuine coding sequences. CONCLUSIONS: These analyses yielded a high confidence set of validated gene predictions for H. capsulatum. The transcript sets resulting from this study are a valuable resource for further experimental characterization of this ubiquitous fungal pathogen. The data is available for interactive exploration at http://histo.ucsf.edu. |
format | Online Article Text |
id | pubmed-3207942 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-32079422011-11-04 Experimental annotation of the human pathogen Histoplasma capsulatum transcribed regions using high-resolution tiling arrays Voorhies, Mark Foo, Catherine K Sil, Anita BMC Microbiol Research Article BACKGROUND: The fungal pathogen Histoplasma capsulatum is thought to be the most common cause of fungal respiratory infections in immunocompetent humans, yet little is known about its biology. Here we provide the first genome-wide studies to experimentally validate its genome annotation. A functional interrogation of the Histoplasma genome provides critical support for continued investigation into the biology and pathogenesis of H. capsulatum and related fungi. RESULTS: We employed a three-pronged approach to provide a functional annotation for the H. capsulatum G217B strain. First, we probed high-density tiling arrays with labeled cDNAs from cells grown under diverse conditions. These data defined 6,172 transcriptionally active regions (TARs), providing validation of 6,008 gene predictions. Interestingly, 22% of these predictions showed evidence of anti-sense transcription. Additionally, we detected transcription of 264 novel genes not present in the original gene predictions. To further enrich our analysis, we incorporated expression data from whole-genome oligonucleotide microarrays. These expression data included profiling under growth conditions that were not represented in the tiling experiment, and validated an additional 2,249 gene predictions. Finally, we compared the G217B gene predictions to other available fungal genomes, and observed that an additional 254 gene predictions had an ortholog in a different fungal species, suggesting that they represent genuine coding sequences. CONCLUSIONS: These analyses yielded a high confidence set of validated gene predictions for H. capsulatum. The transcript sets resulting from this study are a valuable resource for further experimental characterization of this ubiquitous fungal pathogen. The data is available for interactive exploration at http://histo.ucsf.edu. BioMed Central 2011-09-29 /pmc/articles/PMC3207942/ /pubmed/21958208 http://dx.doi.org/10.1186/1471-2180-11-216 Text en Copyright ©2011 Voorhies et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Voorhies, Mark Foo, Catherine K Sil, Anita Experimental annotation of the human pathogen Histoplasma capsulatum transcribed regions using high-resolution tiling arrays |
title | Experimental annotation of the human pathogen Histoplasma capsulatum transcribed regions using high-resolution tiling arrays |
title_full | Experimental annotation of the human pathogen Histoplasma capsulatum transcribed regions using high-resolution tiling arrays |
title_fullStr | Experimental annotation of the human pathogen Histoplasma capsulatum transcribed regions using high-resolution tiling arrays |
title_full_unstemmed | Experimental annotation of the human pathogen Histoplasma capsulatum transcribed regions using high-resolution tiling arrays |
title_short | Experimental annotation of the human pathogen Histoplasma capsulatum transcribed regions using high-resolution tiling arrays |
title_sort | experimental annotation of the human pathogen histoplasma capsulatum transcribed regions using high-resolution tiling arrays |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3207942/ https://www.ncbi.nlm.nih.gov/pubmed/21958208 http://dx.doi.org/10.1186/1471-2180-11-216 |
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