Dataset Information

Web-type evolution of rhodococcus gene clusters associated with utilization of naphthalene.

ABSTRACT: Clusters of genes which include determinants for the catalytic subunits of naphthalene dioxygenase (narAa and narAb) were analyzed in naphthalene-degrading Rhodococcus strains. We demonstrated (i) that in the region analyzed homologous gene clusters are separated from each other by nonhomologous DNA, (ii) that there are various degrees of homology between related genes, and (iii) that nar genes are located on plasmids in strains NCIMB12038 and P400 and on a chromosome in P200. These observations suggest that genetic exchange and reshuffling of genetic modules, as well as vertical descent of the genetic information, were the main routes in the evolution of naphthalene degradation in Rhodococcus. These conclusions were supported by studies of transcription patterns in the region analyzed. It was found that the nar region is not organized into a single operon but there are several transcription units which differ in the strains investigated. The narA and narB genes were found to be transcribed as a single unit in all strains analyzed, and their transcription was induced by naphthalene. The putative aldolase gene (narC) was found on the same transcript only in strains P200 and P400. In NCIMB12038 transcription of two more gene clusters was induced by growth on naphthalene. Transcription start sites for narA and narB were found to be different in all of the strains studied. Putative regulatory genes (narR1 and narR2) were transcribed as a single mRNA in naphthalene-induced cells. At the same time, a number of the genes known to be essential for naphthalene catabolism in gram-negative bacteria were not found in the region analyzed.

SUBMITTER: Kulakov LA

PROVIDER: S-EPMC1082552 | biostudies-literature | 2005 Apr

REPOSITORIES: biostudies-literature

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Web-type evolution of rhodococcus gene clusters associated with utilization of naphthalene.

Kulakov Leonid A LA Chen Shenchang S Allen Christopher C R CC Larkin Michael J MJ

Applied and environmental microbiology 20050401 4

Clusters of genes which include determinants for the catalytic subunits of naphthalene dioxygenase (narAa and narAb) were analyzed in naphthalene-degrading Rhodococcus strains. We demonstrated (i) that in the region analyzed homologous gene clusters are separated from each other by nonhomologous DNA, (ii) that there are various degrees of homology between related genes, and (iii) that nar genes are located on plasmids in strains NCIMB12038 and P400 and on a chromosome in P200. These observations ...[more]

PMID: 15811998

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Project description:The Gene Ontology (GO) vocabulary has been extensively explored to analyze the functions of coexpressed genes. However, despite its extended use in Biology and Medical Sciences, there are still high levels of uncertainty about which ontology (i.e. Molecular Process, Cellular Component or Molecular Function) should be used, and at which level of specificity. Moreover, the GO database can contain incomplete information resulting from human annotations, or highly influenced by the available knowledge about a specific branch in an ontology. In spite of these drawbacks, there is a trend to ignore these problems and even use GO terms to conduct searches of gene expression profiles (i.e. expression + GO) instead of more cautious approaches that just consider them as an independent source of validation (i.e. expression versus GO). Consequently, propagating the uncertainty and producing biased analysis of the required gene grouping hypotheses. We proposed a web tool, Onto-CC, as an automatic method specially suited for independent explanation/validation of gene grouping hypotheses (e.g. coexpressed genes) based on GO clusters (i.e. expression versus GO). Onto-CC approach reduces the uncertainty of the queries by identifying optimal conceptual clusters that combine terms from different ontologies simultaneously, as well as terms defined at different levels of specificity in the GO hierarchy. To do so, we implemented the EMO-CC methodology to find clusters in structural databases [GO Directed acyclic Graph (DAG) tree], inspired on Conceptual Clustering algorithms. This approach allows the management of optimal cluster sets as potential parallel hypotheses, guided by multiobjective/multimodal optimization techniques. Therefore, we can generate alternative and, still, optimal explanations of queries that can provide new insights for a given problem. Onto-CC has been successfully used to test different medical and biological hypotheses including the explanation and prediction of gene expression profiles resulting from the host response to injuries in the inflammatory problem. Onto-CC provides two versions: Ready2GO, a precalculated EMO-CC for several genomes and an Advanced Onto-CC for custom annotation files (http://gps-tools2.wustl.edu/onto-cc/index.html).

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Dataset Information

Web-type evolution of rhodococcus gene clusters associated with utilization of naphthalene.

Publications

Web-type evolution of rhodococcus gene clusters associated with utilization of naphthalene.

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