Time-course transcriptome analysis-guided identification of a four-component system, SbrH1-R that regulates milbemycin biosynthesis by influencing gene cluster expression, precursor supply, and antibiotic efflux
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ABSTRACT: Streptomyces bingchenggensis is a soil bacterium that produces milbemycins, which have been applied widely as insecticides and anthelmintics in agricultural and veterinary field. To gain further insights into the regulatory mechanisms in Streptomyces bingchenggensis and mine useful targets for future metabolic engineering to improve milbemycin production, we have compared two strains(the parental strain and high-yielding strain)by comparative transcriptome analysis.This work provides beneficial targets and corresponding engineering methods to facilitate high-production of milbemycins and other polyketide pesticides.
Project description:Streptomyces bingchenggensis is a soil bacterium that produces milbemycins. Milbemycins and their derivatives are valuable biopesticides in the agricultural field. Owing to their advantages such as high efficiency and safety for human and animal,it was urgent to construct high-yield strain to ensure low production cost. To obtain genes closely correlated with milbemycin production, we have compared the whole genome microarray expression profiling of two strains (the parent one strain and high-yielding strain). In Streptomyces bingchenggensis, there are abundant exporters, which are responsible for transporting various substrates. In the result, some drug exporters were chosen to enhance production of milbemycin .
Project description:Streptomyces bingchenggensis is a soil bacterium that produces milbemycins. Milbemycins are commercially insecticidal and acaricidal antibiotics in agriculture, owing to their advantages such as high efficiency and safety for human and animal. To obtain genes valuable for further improvement of titer, we have compared two strains(the parental strain and high-yielding strain)by whole genome microarray expression profiling as a discovery platform. In Streptomyces bingchenggensis, there are abundant transporters, which are responsible for transporting various substrates. In the result, some sugar transporter genes showed significant gene expression.
Project description:Streptomyces has the largest repertoire of natural product biosynthetic gene clusters (BGCs), yet developing a universal engineering strategy for each Streptomyces species is challenging. Given that some Streptomyces species have larger BGC repertoires than others, we hypothesized that a set of genes co-evolved with BGCs to support biosynthetic proficiency must exist in those strains, and that their identification may provide universal strategies to improve the productivity of other strains. We show here that genes co-evolved with natural product BGCs in Streptomyces can be identified by phylogenomics analysis. Among the 597 genes that co-evolved with polyketide BGCs, 11 genes in the “coenzyme” category have been examined, including a gene cluster encoding for the co-factor pyrroloquinoline quinone (PQQ). When the pqq gene cluster was engineered into 11 Streptomyces strains, it enhanced production of 16,385 metabolites, including 36 known natural products with up to 40-fold improvement and several activated silent gene clusters. This study provides a new engineering strategy for improving polyketide production and discovering new biosynthetic gene clusters.
Project description:Streptomyces bingchenggensis is a soil bacterium that produces a family of macrolide antibiotics, milbemycins, which is commercially important in crop protection, human and veterinary medicine. After the complete genome sequence, and annotation, for further development of our gene expression approach to biosynthesis, we have employed whole genome microarray expression profiling as a discovery platform to obtain improved specificity and sensitivity of gene expression analysis, allowing a global and at the same time detailed picture of how gene clusters for secondary metabolism are modulated. In the result, we confirmed the expression mil and nan gene cluster, furthermore, pks3, pks5 and nrps7, nrps8 also showed significant gene expression, but no obvious products detected. In Streptomyces bingchenggensis, there are also corresponding genes belonging to Defense mechanisms, which is much more than other Streptomyces, for the resistance of own metabolites and dealing with complex environmental factors.
Project description:Streptomyces bingchenggensis is a soil bacterium that produces a family of macrolide antibiotics, milbemycins, which is commercially important in crop protection, human and veterinary medicine. After the complete genome sequence, and annotation, for further development of our gene expression approach to biosynthesis, we have employed whole genome microarray expression profiling as a discovery platform to obtain improved specificity and sensitivity of gene expression analysis, allowing a global and at the same time detailed picture of how gene clusters for secondary metabolism are modulated. In the result, we confirmed the expression mil and nan gene cluster, furthermore, pks3, pks5 and nrps7, nrps8 also showed significant gene expression, but no obvious products detected. In Streptomyces bingchenggensis, there are also corresponding genes belonging to Defense mechanisms, which is much more than other Streptomyces, for the resistance of own metabolites and dealing with complex environmental factors. 16 time points were designed at 12, 18, 24, 30, 33, 39, 42, 45, 51, 57, 60, 69, 72, 96, 120, and 144 hours. The samples were collected at each time point named L1, L3, L5, L7, L8, L10, L11, L12, L14, L16, L17, L20, L21, L22, L23, and L24.
Project description:Streptomyces has the largest repertoire of natural product biosynthetic gene clusters (BGCs), yet developing a universal engineering strategy for each Streptomyces species is challenging. Given that some Streptomyces species have larger BGC repertoires than others, we hypothesized that a set of genes co-evolved with BGCs to support biosynthetic proficiency must exist in those strains, and that their identification may provide universal strategies to improve the productivity of other strains. We show here that genes co-evolved with natural product BGCs in Streptomyces can be identified by phylogenomics analysis. Among the 597 genes that co-evolved with polyketide BGCs, 11 genes in the “coenzyme” category have been examined, including a gene cluster encoding for the co-factor pyrroloquinoline quinone (PQQ). When the pqq gene cluster was engineered into 11 Streptomyces strains, it enhanced production of 16,385 metabolites, including 36 known natural products with up to 40-fold improvement and several activated silent gene clusters. This study provides a new engineering strategy for improving polyketide production and discovering new biosynthetic gene clusters.
Project description:Biofilms are ubiquitous in natural, medical, and engineering environments. While most antibiotics that primarily aim to inhibit cell growth may result in bacterial drug resistance, biofilm inhibitors do not affect cell growth and there is less chance of developing resistance. This work sought to identify novel, non-toxic and potent biofilm inhibitors from Streptomyces bacteria for reducing the biofilm formation of Pseudomonas aeruginosa PAO1. Out of 4300 Streptomyces strains, one species produced and secreted peptide(s) to inhibit P. aeruginosa biofilm formation by 93% without affecting the growth of planktonic cells. Global transcriptome analyses (DNA microarray) revealed that the supernatant of the Streptomyces 230 strain induced phenazine, pyoverdine, and pyochelin synthesis genes. Electron microscopy showed that the supernatant of Streptomyces 230 strain reduced the production of polymeric matrix in P. aeruginosa biofilm cells, while the Streptomyces species enhanced swarming motility of P. aeruginosa. Therefore, current study suggests that Streptomyces bacteria are an important resource of biofilm inhibitors as well as antibiotics.
Project description:Time courses of Streptomyces CH999/pKOS011-26 and CH999/pKOS011-26* the low and high copy number strains, respectively, to examine gene expression differences between these two strains. Of particular interest were the transcript levels of the activator gene actII-ORF4 and the polyketide synthase gene cluster eryA. Mycelia were grown in 50 mL R5 liquid medium with thiostrepton drug selection at 50 micrograms per mL in a 30 degrees Celsius shaker incubator. mRNA were harvested at the time points indicated. These data show that actII-ORF4 and eryA transcripts were more highly expressed in the high copy number strain than in the low copy number strain. Groups of assays that are related as part of a time series. Strain Name Elapsed Time: Hours after inoculation Keywords: time_series_design
Project description:To increase production of the important pharmaceutical compounds, both mutagenesis approaches and rational engineering have been extensively applied. Mutagenesis approaches are most popular in industry, but their effects have not yet been studied very well. Here, we used microarrays to compare the transcriptomes of the S. clavuligerus wild type (ATCC 27064) strain and the DS48802 clavulanic acid high-producer strain, which has been obtained by classical strain improvement (mutagenesis). Streptomyces clavuligerus strains were grown in shake flasks. RNA was extracted after 70h and hybridized to microarrays.
Project description:Biofilms are ubiquitous in natural, medical, and engineering environments. While most antibiotics that primarily aim to inhibit cell growth may result in bacterial drug resistance, biofilm inhibitors do not affect cell growth and there is less chance of developing resistance. This work sought to identify novel, non-toxic and potent biofilm inhibitors from Streptomyces bacteria for reducing the biofilm formation of Pseudomonas aeruginosa PAO1. Out of 4300 Streptomyces strains, one species produced and secreted peptide(s) to inhibit P. aeruginosa biofilm formation by 93% without affecting the growth of planktonic cells. Global transcriptome analyses (DNA microarray) revealed that the supernatant of the Streptomyces 230 strain induced phenazine, pyoverdine, and pyochelin synthesis genes. Electron microscopy showed that the supernatant of Streptomyces 230 strain reduced the production of polymeric matrix in P. aeruginosa biofilm cells, while the Streptomyces species enhanced swarming motility of P. aeruginosa. Therefore, current study suggests that Streptomyces bacteria are an important resource of biofilm inhibitors as well as antibiotics. For the microarray experiments, P. aeruginosa were inoculated in 25 0ml of LB medium in 1000 ml shake flasks with overnight cultures that were diluted 1:100. Streptomyces 230 strain culture media was added in at 1% . Cells were cultured with 10g of glass wool in LB at 37M-BM-0C with 100 rpm shaking for 7 hrs. Cells were immediately chilled with dry ice and 95% ethanol (to prevent RNA degradation) for 30 sec before centrifugation in 50 ml centrifuge tubes at 13,000 g for 2 min; cell pellets were frozen immediately with dry ice and stored -80M-BM-0C. RNA was isolated using Qiagen RNeasy mini Kit (Valencia, CA, USA). RNA quality was assessed by Agilent 2100 bioanalyser using the RNA 6000 Nano Chip (Agilent Technologies, Amstelveen, The Netherlands), and quantity was determined by ND-1000 Spectrophotometer (NanoDrop Technologies, Inc., DE, USA).