Project description:Erythromycin is a medically important antibiotic, biosynthesized by the actinomycete Saccharopolyspora erythraea. We used transcriptomic approach to compare whole genome expression in erythromycin high-producing strain, compared to the wild type S. erythraea strain in four stages of fermentation.
Project description:We report the high-throughput profiling of saccharopolyspora erythraea including a industrial strain HL3168 E3 and a wild-type strain NRRL23338. The aim was to evaluate the difference in expression of sRNA predicted in silico related to secondary metabolites in Saccharopolyspora erythraea.
Project description:Erythromycin is a medically important antibiotic, biosynthesized by the actinomycete Saccharopolyspora erythraea. We used transcriptomic approach to compare whole genome expression in erythromycin high-producing strain, compared to the wild type S. erythraea strain in four stages of fermentation. 2 strains (3 individual fermentations each), 4 time points --> 24 samples (2 exluded from anaysis, 22 remaining); one color design
Project description:We report the high-throughput profiling of saccharopolyspora erythraea including a industrial strain HL3168 E3 and a wild-type strain NRRL23338. The aim was to evaluate the difference in expression of sRNA predicted in silico related to secondary metabolites in Saccharopolyspora erythraea. Comparison of the gene expression difference in 2 Saccharopolyspora erythraea strains.
Project description:Reconstructing an artificial control system orthogonal to the native regulatory network of Saccharopolyspora erythraea is critical for circumventing the constraints imposed by its complex endogenous regulation. Here, we present a transcriptional profiling dataset of S. erythraea strain harboring the heterologous QS control system (hQSCS) during erythromycin fermentation. This dataset was generated to characterize the transcriptional response of host cells upon activation of the heterologous hQSCS. Specifically, RNA sequencing was performed on strain without hQSCS (control) and hQSCS engineered strain (treatment), both cultured in TSB medium for 72 h. Differential expression analysis of this dataset will help determine whether hQSCS exerts regulatory crosstalk with the native transcriptome of S. erythraea, which is essential for verifying the orthogonality of hQSCS. Collectively, this transcriptional dataset provides a valuable resource for investigating the orthogonality of hQSCS in S. erythraea and offers insights into the development of orthogonal control systems for other rare actinomycetes.