Comparative analysis of mycobacterium and related actinomycetes yields insight into the evolution of mycobacterium tuberculosis pathogenesis
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Author
Weiner, Brian
Raman, Sahadevan
Dolganov, Gregory
Peterson, Matthew
Riley, Robert
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
McGuire, Abigail Manson
Park, Sang T.
Note: Order does not necessarily reflect citation order of authors.
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https://doi.org/10.1186/1471-2164-13-120Metadata
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McGuire, Abigail Manson, Brian Weiner, Sang Tae Park, Ilan Wapinski, Sahadevan Raman, Gregory Dolganov, Matthew Peterson, et al. 2012. Comparative analysis of mycobacterium and related actinomycetes yields insight into the evolution of mycobacterium tuberculosis pathogenesis. BMC Genomics 13:120.Abstract
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.Other Sources
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3388012/pdf/Terms of Use
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