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Comparative analysis of mycobacterium and related actinomycetes yields insight into the evolution of mycobacterium tuberculosis pathogenesis
BACKGROUND: The sequence of the pathogen Mycobacterium tuberculosis (Mtb) strain H37Rv has been available for over a decade, but the biology of the pathogen remains poorly understood. Genome sequences from other Mtb strains and closely related bacteria present an opportunity to apply the power of co...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3388012/ https://www.ncbi.nlm.nih.gov/pubmed/22452820 http://dx.doi.org/10.1186/1471-2164-13-120 |
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author | McGuire, Abigail Manson Weiner, Brian Park, Sang Tae Wapinski, Ilan Raman, Sahadevan Dolganov, Gregory Peterson, Matthew Riley, Robert Zucker, Jeremy Abeel, Thomas White, Jared Sisk, Peter Stolte, Christian Koehrsen, Mike Yamamoto, Robert T Iacobelli-Martinez, Milena Kidd, Matthew J Maer, Andreia M Schoolnik, Gary K Regev, Aviv Galagan, James |
author_facet | McGuire, Abigail Manson Weiner, Brian Park, Sang Tae Wapinski, Ilan Raman, Sahadevan Dolganov, Gregory Peterson, Matthew Riley, Robert Zucker, Jeremy Abeel, Thomas White, Jared Sisk, Peter Stolte, Christian Koehrsen, Mike Yamamoto, Robert T Iacobelli-Martinez, Milena Kidd, Matthew J Maer, Andreia M Schoolnik, Gary K Regev, Aviv Galagan, James |
author_sort | McGuire, Abigail Manson |
collection | PubMed |
description | BACKGROUND: The sequence of the pathogen Mycobacterium tuberculosis (Mtb) strain H37Rv has been available for over a decade, but the biology of the pathogen remains poorly understood. Genome sequences from other Mtb strains and closely related bacteria present an opportunity to apply the power of comparative genomics to understand the evolution of Mtb pathogenesis. We conducted a comparative analysis using 31 genomes from the Tuberculosis Database (TBDB.org), including 8 strains of Mtb and M. bovis, 11 additional Mycobacteria, 4 Corynebacteria, 2 Streptomyces, Rhodococcus jostii RHA1, Nocardia farcinia, Acidothermus cellulolyticus, Rhodobacter sphaeroides, Propionibacterium acnes, and Bifidobacterium longum. RESULTS: Our results highlight the functional importance of lipid metabolism and its regulation, and reveal variation between the evolutionary profiles of genes implicated in saturated and unsaturated fatty acid metabolism. It also suggests that DNA repair and molybdopterin cofactors are important in pathogenic Mycobacteria. By analyzing sequence conservation and gene expression data, we identify nearly 400 conserved noncoding regions. These include 37 predicted promoter regulatory motifs, of which 14 correspond to previously validated motifs, as well as 50 potential noncoding RNAs, of which we experimentally confirm the expression of four. CONCLUSIONS: Our analysis of protein evolution highlights gene families that are associated with the adaptation of environmental Mycobacteria to obligate pathogenesis. These families include fatty acid metabolism, DNA repair, and molybdopterin biosynthesis. Our analysis reinforces recent findings suggesting that small noncoding RNAs are more common in Mycobacteria than previously expected. Our data provide a foundation for understanding the genome and biology of Mtb in a comparative context, and are available online and through TBDB.org. |
format | Online Article Text |
id | pubmed-3388012 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-33880122012-07-03 Comparative analysis of mycobacterium and related actinomycetes yields insight into the evolution of mycobacterium tuberculosis pathogenesis McGuire, Abigail Manson Weiner, Brian Park, Sang Tae Wapinski, Ilan Raman, Sahadevan Dolganov, Gregory Peterson, Matthew Riley, Robert Zucker, Jeremy Abeel, Thomas White, Jared Sisk, Peter Stolte, Christian Koehrsen, Mike Yamamoto, Robert T Iacobelli-Martinez, Milena Kidd, Matthew J Maer, Andreia M Schoolnik, Gary K Regev, Aviv Galagan, James BMC Genomics Research Article BACKGROUND: The sequence of the pathogen Mycobacterium tuberculosis (Mtb) strain H37Rv has been available for over a decade, but the biology of the pathogen remains poorly understood. Genome sequences from other Mtb strains and closely related bacteria present an opportunity to apply the power of comparative genomics to understand the evolution of Mtb pathogenesis. We conducted a comparative analysis using 31 genomes from the Tuberculosis Database (TBDB.org), including 8 strains of Mtb and M. bovis, 11 additional Mycobacteria, 4 Corynebacteria, 2 Streptomyces, Rhodococcus jostii RHA1, Nocardia farcinia, Acidothermus cellulolyticus, Rhodobacter sphaeroides, Propionibacterium acnes, and Bifidobacterium longum. RESULTS: Our results highlight the functional importance of lipid metabolism and its regulation, and reveal variation between the evolutionary profiles of genes implicated in saturated and unsaturated fatty acid metabolism. It also suggests that DNA repair and molybdopterin cofactors are important in pathogenic Mycobacteria. By analyzing sequence conservation and gene expression data, we identify nearly 400 conserved noncoding regions. These include 37 predicted promoter regulatory motifs, of which 14 correspond to previously validated motifs, as well as 50 potential noncoding RNAs, of which we experimentally confirm the expression of four. CONCLUSIONS: Our analysis of protein evolution highlights gene families that are associated with the adaptation of environmental Mycobacteria to obligate pathogenesis. These families include fatty acid metabolism, DNA repair, and molybdopterin biosynthesis. Our analysis reinforces recent findings suggesting that small noncoding RNAs are more common in Mycobacteria than previously expected. Our data provide a foundation for understanding the genome and biology of Mtb in a comparative context, and are available online and through TBDB.org. BioMed Central 2012-03-28 /pmc/articles/PMC3388012/ /pubmed/22452820 http://dx.doi.org/10.1186/1471-2164-13-120 Text en Copyright ©2012 McGuire 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 McGuire, Abigail Manson Weiner, Brian Park, Sang Tae Wapinski, Ilan Raman, Sahadevan Dolganov, Gregory Peterson, Matthew Riley, Robert Zucker, Jeremy Abeel, Thomas White, Jared Sisk, Peter Stolte, Christian Koehrsen, Mike Yamamoto, Robert T Iacobelli-Martinez, Milena Kidd, Matthew J Maer, Andreia M Schoolnik, Gary K Regev, Aviv Galagan, James Comparative analysis of mycobacterium and related actinomycetes yields insight into the evolution of mycobacterium tuberculosis pathogenesis |
title | Comparative analysis of mycobacterium and related actinomycetes yields insight into the evolution of mycobacterium tuberculosis pathogenesis |
title_full | Comparative analysis of mycobacterium and related actinomycetes yields insight into the evolution of mycobacterium tuberculosis pathogenesis |
title_fullStr | Comparative analysis of mycobacterium and related actinomycetes yields insight into the evolution of mycobacterium tuberculosis pathogenesis |
title_full_unstemmed | Comparative analysis of mycobacterium and related actinomycetes yields insight into the evolution of mycobacterium tuberculosis pathogenesis |
title_short | Comparative analysis of mycobacterium and related actinomycetes yields insight into the evolution of mycobacterium tuberculosis pathogenesis |
title_sort | comparative analysis of mycobacterium and related actinomycetes yields insight into the evolution of mycobacterium tuberculosis pathogenesis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3388012/ https://www.ncbi.nlm.nih.gov/pubmed/22452820 http://dx.doi.org/10.1186/1471-2164-13-120 |
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