Project description:This SuperSeries is composed of the following subset Series: GSE30569: Metabolic switching in Streptomyces coelicolor wild type, time series under glutamate depletion condition GSE30570: Metabolic switching in Streptomyces coelicolor time series under glutamate depletion of mutant SCglnK-3. Refer to individual Series
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: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: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:In this work, we demonstrate that the addition of the small molecule elicitor ARC2 to Streptomyces coelicolor cultures results in global changes in gene expression including many secondary metabolic genes. A profile of the Streptomyces coelicolor transcriptome in the absence and presence of ARC2 was performed by RNA-seq. Total RNA was extracted after 10 hours of treatment with either the DMSO solvent control or the ARC2 small molecule elicitor. A V2 rapid run mode with paired-end 2x75 bp reads on the Illumina HiSeq platform was performed for RNA sequencing.
Project description:We have integrated nucleotide resolution genome-scale measurements of the transcriptome and translatome of the Streptomyces coelicolor A3(2), the model antibiotic-producing actinomycete. Our systematic study determined 3,473 transcription start sites, leading to discovery of a high proportion (~21%) of leaderless mRNAs and 230 non-coding RNAs; this enabled deduction of promoter architecture on a genome-scale. Ribosome profiling analysis revealed that the translation efficiency was negatively correlated for secondary metabolic genes. These results provide novel fundamental insights into translational regulation of secondary metabolism that enables rational synthetic biology approaches to awaken such âsilentâ secondary metabolic pathways. Profiles of primary transcripts, whole transcripts, and ribosome protected fragments (RPFs) of Streptomyces coelicolor were generated by deep sequencing using Illumina Miseq.
Project description:During the lifetime of a fermenter culture, the soil bacterium S. coelicolor undergoes a major metabolic switch from exponential growth to antibiotic production. We have studied gene expression patterns during this switch, using a specifically designed Affymetrix GeneChip and a high-resolution time-series of fermenter-grown samples. This time series was conducted using medium leading to glutamate depletion and the cultivation conditions as published in Nieselt et al. BMC Genomics 2010, performed with the Streptomyces coelicolor wild type strain M145E.
Project description:We have integrated nucleotide resolution genome-scale measurements of the transcriptome and translatome of the Streptomyces coelicolor A3(2), the model antibiotic-producing actinomycete. Our systematic study determined 3,473 transcription start sites, leading to discovery of a high proportion (~21%) of leaderless mRNAs and 230 non-coding RNAs; this enabled deduction of promoter architecture on a genome-scale. Ribosome profiling analysis revealed that the translation efficiency was negatively correlated for secondary metabolic genes. These results provide novel fundamental insights into translational regulation of secondary metabolism that enables rational synthetic biology approaches to awaken such ‘silent’ secondary metabolic pathways.