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TitleAn integrated omic approach towards the metabolic engineering of myrcene pathway of pseudomonas sp. M1
Author(s)Castro, Pedro Soares
Santos, P. M.
Issue date2011
Abstract(s)Pseudomonas sp. M1 is able to utilize a large variety of toxic and/or recalcitrant compounds as sole carbon and energy sources, including phenols, benzene and monoterpenes like myrcene [1-3]. Therefore, M1 strain holds great potential as a source of novel biomolecules and cell factories for various biotechnological applications namely in biocatalysis, biosensors, bioremediation and biomedicine. However, the full exploitation of its enzymatic repertoire requires detailed and integrated information about the biomolecular catalog of M1 strain, including genes, proteins and metabolites. In this context, the genome of Pseudomonas sp. M1 was sequenced by NGS technologies, using Illumina GA IIx and Roche 454 FLX. The resulting raw data was assembled and annotated using different pipelines. The current genome draft of Pseudomonas sp. M1 has an estimated GC content of 67%, a size of about 7.1 Mbps and includes 6276 CDS. Importantly, in silico genome analysis predicted a number of metabolic pathways involved in utilization/biotransformation of several unusual carbons sources (e.g. biphenyls, halophenols and different monoterpenes). Proteomic and transcriptomic approaches have been setup envisaging the elucidation of the myrcene stimulon. In 2009, a set of myrcene-dependent proteins has been described using subproteome analysis of the cytoplasmic fraction [3]. In this work, a RNA-seq transcriptome analysis led to the identification of a 28kb genomic island of key importance in the catabolism of myrcene. This island includes genes involved in: i) myrcene oxidation and bioconversion of myrcene derivatives via a beta-oxidation like pathway; ii) regulation of myrcene pathway; iii) myrcene sensing. In addition several other gene clusters spread in the genome of Pseudomonas sp. M1 have been found to be myrcene-dependently expressed and are under investigation. Integration of genomic, transcriptomic, proteomic and metabolic data will deliver a very solid and detailed description of the myrcene catabolism (and other monoterpenes), and on the associated molecular mechanisms of adaptation, providing the adequate support for the application of M1 as a biocatalyst in whole-cell biotransformations of plantderived volatiles.
DescriptionBest Poster Award
AccessOpen access
Appears in Collections:DBio - Comunicações/Communications in Congresses

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