GSE132487
RNA-Sequencing of Streptomyces coelicolor A3(2) (M145) in timeseries
SYSTERACT: Systematic Rebuilding of Actinomycetes for Natural Product Formation    For several decades antibiotics have saved millions of lives, but their overuse makes them less effective due to increase in bacterial resistance. Because of this major clinical and public health problem, there is an urgent need for new effective antimicrobials.   The ERASysAPP project SYSTERACT aims to further develop, the model actinobacterium Streptomyces coelicolor into improved microbial cell factories to heterologously produce diverse bioactive compounds in amounts needed for structural and functional evaluation. Unprecedented systems biology understanding of S. coelicolor is being combined with morphology engineering and improved (de-)regulation and precursor supply to accelerate bioactive compound discovery efforts. By that means, we aim to generate a stepwise improved 'Superhost' for the production of antibiotics in which metabolic bottlenecks and regulatory restriction are greatly mitigated. The optimized strains will be tested concerning their applicability for an improved production of commercially relevant antibiotics and the expression of novel bioactive gene clusters identified in new actinomycete strains and environmental metagenomes.     So far two strains, M145 and M1152, have been cultivated for time-resolved 'omics sampling, and a larger number of additional strains are on the list for similar experiments. High quality RNAseq-based transcriptome data have been generated and processed.  M145 is the wildtype strain in S. coelicolor (as used in STREAM, see also GSE18489), 3 biol. replicas and M1152 lacks four major biosynthetic gene clusters,   undecylprodigine (RED), calcium-dependent antibiotic (CDA), coelimycin (CPK) and actinorhodin (ACT).    Contributors:  A. Wentzel, W. Wohlleben, G. van Wezel, D van Dissel, O. Wolkenhauer, E. Kerkhoven, N. Spidsoe, K. Nieselt and the SYSTERACT consortium Overall design: RNA-seq expression analysis of timeseries based around phosphate depletion [contributor] SYSTERACT consortium