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Identification of Streptomyces lividans proteins secreted by the twin-arginine translocation pathway following growth with different carbon sources

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Genome-based signal peptide predictions classified Streptomyces coelicolor as the microorganism that secretes the most proteins through the twin-arginine translocation (Tat)-dependent secretion pathway. Availability of a ΔtatC mutant of the closely related strain Streptomyces lividans impaired Tat-dependent protein secretion and enabled identification of many extracellular proteins that are secreted via the Tat pathway. Proteomic techniques were applied to analyze proteins from the supernatants of log-phase cultures. Since the bacterial secretome depends mainly on the carbon sources available during growth, xylose, glucose, chitin, and soil extracts were used. A total of 63 proteins were identified, among which 7 were predicted by the TATscan program, and 20 were not predicted but contained a potential Tat signal motif. Thirteen proteins having no signal sequence could be co-transported by Tat-dependent proteins because the genes that encode these proteins are in close proximity in the genome. Finally, the presence of 23 proteins lacking signal peptides was difficult to explain. More secreted proteins could be identified as Tat substrates in varying carbon sources.

Streptomyces coelicolor a été identifiée comme étant le microorganisme qui sécrète le plus de protéines via le voie de sécrétion dépendante de Tat, selon des prédictions génomiques de peptides signal. La disponibilité d’un mutant ΔtatC chez la souche très apparentée Streptomyces lividans dont la sécrétion de protéines dépendantes de Tat était inhibée, a permis d’identifier plusieurs protéines extracellulaires qui sont sécrétées via la voie Tat. Des techniques protéomiques ont été utilisées pour analyser les protéines du surnageant de cultures en phase logarithmique. Puisque le sécrétome bactérien dépend principalement des sources de carbones disponibles durant la croissance, le xylose, le glucose, la chitine et des extraits de sols ont été utilisés. Un total de 63 protéines a été identifié, parmi lesquelles se retrouvaient 7 protéines prédites par le programme TATscan et 20 qui n’avaient pas été prédites, mais qui comportaient un motif signal potentiel dépendant de Tat. Treize protéines qui n’avaient pas de séquence signal pourraient être co-transportées par des protéines dépendantes de Tat car les gènes qui les codent sont localisés à proximité les uns des autres dans le génome. Finalement, la présence de 23 protéines sans peptides signal était difficile à expliquer. Davantage de protéines sécrétées pourraient être identifiées comme substrats de Tat sur des sources de carbone variables.

Document Type: Research Article

Publication date: 2008-07-01

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  • Published since 1954, this monthly journal contains new research in the field of microbiology including applied microbiology and biotechnology; microbial structure and function; fungi and other eucaryotic protists; infection and immunity; microbial ecology; physiology, metabolism and enzymology; and virology, genetics, and molecular biology. It also publishes review articles and notes on an occasional basis, contributed by recognized scientists worldwide.
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