Project description:We identified genome-wide binding regions of NdgR in Streptomyces coelicolor using chromatin immunoprecipitation sequencing (ChIP-seq). We constructed 6×myc-tagged NdgR strain using homologous recombination with myc-tagging vector. Analysis of the sequencing data aligned to Streptomyces coelicolor genome database (NC_003888).
Project description:This study compared the genome of Streptomyces rimosus rimosus against that of Streptomyces coelicolor. It also compared 4 strains with changes in oxytetracycline production and derived from G7, the type strain, against G7. Keywords: Comparative genomic hybridization
Project description:In this study, we describe the isolation and identification of Streptomyces isolates collected from traditional medicinal plants’ rhizosphere during a campaign in Hamedan Province, Iran. Traditional medicinal plants represent a rich and unique source for the isolation of Streptomyces and new antimicrobial compounds. This strain was isolated from the rhizosphere of Helichrysum rubicundum
Project description:To identify unique gene expression in cAMP supplemented Streptomyces coelicolor M1146 strain. The genes with different gene expression might be key genes to understand the effects of cAMP supplementation on the transcriptome of Streptomyces coelicolor M1146.
Project description:To identify unique gene expression in cAMP supplemented Streptomyces coelicolor M145 strain. The genes with different gene expression might be key genes to understand the effects of cAMP supplementation on the transcriptome of Streptomyces coelicolor M145.
Project description:We performed ribosome profiling which is the deep-sequencing of mRNA fragments protected by translating ribosome for two Streptomyces species through different growth phases to provide the translatome data
Project description:Global regulation by the Streptomyces coelicolor atypical MerR-like transcription factor BldC. BldC is a transcriptional regulator essential for morphological development and antibiotic production in Streptomyces coelicolor. Here we identify the BldC regulon by means of chromatin immunoprecipitation (ChIP) microarray analysis. The BldC regulon encompasses at least 201 transcriptional units, which include many genes that play key roles in Streptomyces development (e.g., bldC itself, bldB, bldM, whiB, whiD, whiI, sigF, smeA-sffA, hupS), antibiotic production (e.g., afsK) and stress response (e.g., clpB, nsrR, sigE, sigF). All BldC-binding sites identified by ChIP-chip are present in the promoters of the target genes. In vitro DNA-binding experiments show that BldC is capable of binding DNA specifically in the absence of other proteins and suggest that BldC is a minor-groove DNA-binding protein. The regulon of BldC partially overlaps with that of the pleiotropic regulator BldD. BldC and BldD bind to distinct sites in the promoter region of smeA, where they simultaneously repress its transcription.
Project description:Bacterial genomic plasticity and instability carry multiple functional genetic information in Streptomyces secondary metabolism. Our previously publication has reported an effective industrial Streptomyces strain, with a unique phenotype of the high clavulanic acid yield. The complete genome of strain F163-1 harboring a 136.9-kb giant region of plasticity (RGP) was sequenced. The chromosome and plasmid are densely packed by an exceptionally huge variety of potential secondary metabolic gene clusters, excluding production of putative antibiotics. Intriguingly, architecture and size differences of plasmid pSCL4 between F613-1 and ATCC 27064 suggest the pSCL4 plasmid evolving from pSCL4-like and pSCL2-like extrachromosomal replicons, in addition to the previously proposed ATCC 27064 mega-plasmid formation hypothesis through recombination between the smaller F613-1 pSCL4 plasmid arm regions and the linear chromosome. Comparative genomics systemically investigate secondary metabolism capacitates in this study indicates that frequent exchange of genetic materials between Streptomyces replicons may shape remarkable diversities of secondary metabolite repertoires. Consequently, the F613-1 strain seems to have evolved its specific genomic architectures and genetic patterns to meet the requirement in subsequent industrial processes.
Project description:Two component sensor-response regulator systems (TCSs) are very common in the genomes of the Streptomyces species that have been fully sequenced to date. It has been suggested that this large number is an evolutionary response to the variable environment that Streptomyces encounter in soil. Notwithstanding this, TCSs are also more common in the sequenced genomes of other Actinomycetales when these are compared to the genomes of most other eubacteria. In this study, we have used DNA/DNA genome microarray analysis to compare fourteen Streptomyces species and one closely related genus to Streptomyces coelicolor in order to identify a core group of such systems. This core group is compared to the syntenous and non-syntenous TCSs present in the genome sequences of other Actinomycetales in order to separate the systems into those present in Actinomycetales in general, the Streptomyces specific systems and the species specific systems. Horizontal transfer does not seem to play a very important role in the evolution of the TCS complement analyzed in this study. However, cognate pairs do not necessarily seem to evolve at the same pace, which may indicate the evolutionary responses to environmental variation may be reflected differently in sequence changes within the two components of the TCSs. The overall analysis allowed subclassification of the orphan TCSs and the TCS cognate pairs and identification of possible targets for further study using gene knockouts, gene overexpression, reporter genes and yeast two hybrid analysis.
Project description:ForJ, ForF and ForZ are cluster situated regulators of the formicamycin biosynthetic gene cluster in Streptomyces forimcae. This ChIP Sequencing experiment was conducted to identify where in the genome these regulators bind in order to identify which transcripts they might regulate.