Modular polyketide synthase-derived insecticidal agents: from biosynthesis and metabolic engineering to combinatorial biosynthesis for their production.

Covering: up to 2022Polyketides derived from actinomycetes are a valuable source of eco-friendly biochemical insecticides. The development of new insecticides is urgently required, as the number of insects resistant to more than one drug is rapidly increasing. Moreover, significant enhancement of the production of such biochemical insecticides is required for economical production. There has been considerable improvement in polyketide insecticidal agent production and development of new insecticides. However, most commercially important biochemical insecticides are synthesized by modular type I polyketide synthases (PKSs), and their structural complexities make chemical modification challenging. A detailed understanding of the biosynthetic mechanisms of potent polyketide insecticides and the structure-activity relationships of their analogs will provide insight into the comprehensive design of new insecticides with improved efficacies. Further metabolic engineering and combinatorial biosynthesis efforts, reinvigorated by synthetic biology, can eventually produce designed analogs in large quantities. This highlight reviews the biosynthesis of representative insecticides produced by modular type I PKSs, such as avermectin, spinosyn, and spectinabilin, and their insecticidal properties. Metabolic engineering and combinatorial biosynthetic strategies for the development of high-yield strains and analogs with insecticidal activities are emphasized, proposing a way to develop a next-generation insecticide.

Whole-genome sequencing and analysis of Streptomyces strains producing multiple antinematode drugs.

BACKGROUND: Nematodes are parasitic animals that cause over 100 billion US dollars loss in agricultural business. The whole-genomes of two Streptomyces strains, Streptomyces spectabilis KCTC9218T and Streptomyces sp. AN091965, were sequenced. Both strains produce spectinabilin, an antinematode drug. Its secondary metabolism was examined to aid the development of an efficient nematicidal drug-producing host strain. RESULTS: The whole-genome sequences of S. spectabilis KCTC9218T and Streptomyces sp. AN091965 were analyzed using PacBio and Illumina sequencing platforms, and assembled using hybrid methodology. The total contig lengths for KCTC9218T and AN091965 were 9.97 Mb and 9.84 Mb, respectively. A total of 8,374 and 8,054 protein-coding genes, as well as 39 and 45 secondary metabolite biosynthetic gene clusters were identified in KCTC9218T and AN091965, respectively. 18.4 ± 6.45 mg/L and 213.89 ± 21.30 mg/L of spectinabilin were produced by S. spectabilis KCTC9218T and Streptomyces sp. AN091965, respectively. Pine wilt disease caused by nematode was successfully prevented by lower concentration of spectinabilin injection than that of abamectin recommended by its manufacturer. Production of multiple antinematode drugs, including spectinabilin, streptorubin B, and undecylprodigiosin was observed in both strains using high-resolution liquid chromatography mass spectrometry (LC-MS) analysis. CONCLUSIONS: Whole-genome sequencing of spectinabilin-producing strains, coupled with bioinformatics and mass spectrometry analyses, revealed the production of multiple nematicidal drugs in the KCTC9218T and AN091965 strains. Especially, Streptomyces sp. AN091965 showed high production level of spectinabilin, and this study provides crucial information for the development of potential nematicidal drug producers.

Production of pikromycin using branched chain amino acid catabolism in Streptomyces venezuelae ATCC 15439.

Branched chain amino acids (BCAA) are catabolized into various acyl-CoA compounds, which are key precursors used in polyketide productions. Because of that, BCAA catabolism needs fine tuning of flux balances for enhancing the production of polyketide antibiotics. To enhance BCAA catabolism for pikromycin production in Streptomyces venezuelae ATCC 15439, three key enzymes of BCAA catabolism, 3-ketoacyl acyl carrier protein synthase III, acyl-CoA dehydrogenase, and branched chain α-keto acid dehydrogenase (BCDH) were manipulated. BCDH overexpression in the wild type strain resulted in 1.3 fold increase in pikromycin production compared to that of WT, resulting in total 25 mg/L of pikromycin. To further increase pikromycin production, methylmalonyl-CoA mutase linked to succinyl-CoA production was overexpressed along with BCDH. Overexpression of the two enzymes resulted in the highest titer of total macrolide production of 43 mg/L, which was about 2.2 fold increase compared to that of the WT. However, it accumulated and produced dehydroxylated forms of pikromycin and methymycin, including their derivatives as well. It indicated that activities of pikC, P450 monooxygenase, newly became a bottleneck in pikromycin synthesis.

Transcriptomics-based strain optimization tool for designing secondary metabolite overproducing strains of Streptomyces coelicolor.

In silico model-driven analysis using genome-scale model of metabolism (GEM) has been recognized as a promising method for microbial strain improvement. However, most of the current GEM-based strain design algorithms based on flux balance analysis (FBA) heavily rely on the steady-state and optimality assumptions without considering any regulatory information. Thus, their practical usage is quite limited, especially in its application to secondary metabolites overproduction. In this study, we developed a transcriptomics-based strain optimization tool (tSOT) in order to overcome such limitations by integrating transcriptomic data into GEM. Initially, we evaluated existing algorithms for integrating transcriptomic data into GEM using Streptomyces coelicolor dataset, and identified iMAT algorithm as the only and the best algorithm for characterizing the secondary metabolism of S. coelicolor. Subsequently, we developed tSOT platform where iMAT is adopted to predict the reaction states, and successfully demonstrated its applicability to secondary metabolites overproduction by designing actinorhodin (ACT), a polyketide antibiotic, overproducing strain of S. coelicolor. Mutants overexpressing tSOT targets such as ribulose 5-phosphate 3-epimerase and NADP-dependent malic enzyme showed 2 and 1.8-fold increase in ACT production, thereby validating the tSOT prediction. It is expected that tSOT can be used for solving other metabolic engineering problems which could not be addressed by current strain design algorithms, especially for the secondary metabolite overproductions.

Enhanced production of nargenicin A1 and creation of a novel derivative using a synthetic biology platform.

Nargenicin A1, an antibacterial produced by Nocardia sp. CS682 (KCTC 11297BP), demonstrates effective activity against various Gram-positive bacteria. Hence, we attempted to enhance nargenicin A1 production by utilizing the cumulative effect of synthetic biology, metabolic engineering and statistical media optimization strategies. To facilitate the modular assembly of multiple genes for genetic engineering in Nocardia sp. CS682, we constructed a set of multi-monocistronic vectors, pNV18L1 and pNV18L2 containing hybrid promoter (derived from ermE* and promoter region of neo r ), ribosome binding sites (RBS), and restriction sites for cloning, so that each cloned gene was under its own promoter and RBS. The multi-monocistronic vector, pNV18L2 containing transcriptional terminator showed better efficiency in reporter gene assay. Thus, multiple genes involved in the biogenesis of pyrrole moiety (ngnN2, ngnN3, ngnN4, and ngnN5 from Nocardia sp. CS682), glucose utilization (glf and glk from Zymomonas mobilis), and malonyl-CoA synthesis (accA2 and accBE from Streptomyces coelicolor A3 (2)), were cloned in pNV18L2. Further statistical optimization of specific precursors (proline and glucose) and their feeding time led to ~84.9 mg/L nargenicin from Nocardia sp. GAP, which is ~24-fold higher than Nocardia sp. CS682 (without feeding). Furthermore, pikC from Streptomyces venezuelae was expressed to generate Nocardia sp. PikC. Nargenicin A1 acid was characterized as novel derivative of nargenicin A1 produced from Nocardia sp. PikC by mass spectrometry (MS) and nuclear magnetic resonance (NMR) analyses. We also performed comparative analysis of the anticancer and antibacterial activities of nargenicin A1 and nargenicin A1 acid, which showed a reduction in antibacterial potential for nargenicin A1 acid. Thus, the development of an efficient synthetic biological platform provided new avenues for enhancing or structurally diversifying nargenicin A1 by means of pathway designing and engineering.

Transcriptome profiles of Streptomyces clavuligerus strains producing different titers of clavulanic acid.

Streptomyces clavuligerus NRRL 3585 is a native producer of clavulanic acid (CA), a clinically used ß-lactamase inhibitor, and is widely used as an industrial strain for the production of antibiotics. Selective random mutagenesis has successfully generated the improved CA-producing S. clavuligerus mutant strains as well as the strain with the loss of CA biosynthesis. To understand the molecular mechanisms associated with the improved CA-production potential, genome-scale RNA-sequencing-based transcriptional data were obtained for the wild-type S. clavuligerus strain and its three mutant strains. Total RNA samples for each strain were collected across four different growth stages, and all 32 sequencing data points exhibited an average Phred score of 36. The high-quality genome-scale transcriptional profile of S. clavuligerus strains with varied CA biosynthetic potential provides valuable insights and new opportunities for discovering efficient metabolic engineering strategies for the development of improved industrial strains.

A versatile PCR-based tandem epitope tagging system for Streptomyces coelicolor genome.

Epitope tagging approaches have been widely used for the analysis of functions, interactions and subcellular distributions of proteins. However, incorporating epitope sequence into protein loci in Streptomyces is time-consuming procedure due to the absence of the versatile tagging methods. Here, we developed a versatile PCR-based tandem epitope tagging tool for the Streptomyces genome engineering. We constructed a series of template plasmids that carry repeated sequence of c-myc epitope, Flp recombinase target (FRT) sites, and apramycin resistance marker to insert epitope tags into any desired spot of the chromosomal loci. A DNA module which includes the tandem epitope-encoding sequence and a selectable marker was amplified by PCR with primers that carry homologous extensions to the last portion and downstream region of the targeted gene. We fused the epitope tags at the 3' region of global transcription factors of Streptomyces coelicolor to test the validity of this system. The proper insertion of the epitope tag was confirmed by PCR and western blot analysis. The recombinants showed the identical phenotype to the wild-type that proved the conservation of in vivo function of the tagged proteins. Finally, the direct binding targets were successfully detected by chromatin immunoprecipitation with the increase in the signal-to-noise ratio. The epitope tagging system describes here would provide wide applications to study the protein functions in S. coelicolor.

Engineering Streptomyces coelicolor for production of monomethyl branched chain fatty acids.

Branched chain fatty acids (BCFA) are an appealing biorefinery-driven target of fatty acid (FA) production. BCFAs typically have lower melting points compared to straight chain FAs, making them useful in lubricants and biofuels. Actinobacteria, especially Streptomyces species, have unique secondary metabolism that are capable of producing not only antibiotics, but also high percentage of BCFAs in their membrane lipids. Since biosynthesis of polyketide (PK) and FA partially share common pathways to generate acyl-CoA precursors, in theory, Streptomyces sp. with high levels of PK antibiotics production can be easily manipulated into strains producing high levels of BCFAs. To increase the percentage of the BCFA moieties in lipids, we redirected acyl-CoA precursor fluxes from PK into BCFAs using S. coelicolor M1146 (M1146) as a host strain. In addition, 3-ketoacyl acyl carrier protein synthase III and branched chain α-keto acid dehydrogenase were overexpressed to push fluxes of branched chain acyl-CoA precursors towards FA synthesis. The maximum titer of 354.1 mg/L BCFAs, 90.3% of the total FA moieties, was achieved using M1146dD-B, fadD deletion and bkdABC overexpression mutant of M1146 strain. Cell specific yield of 64.4 mg/L/gcell was also achieved. The production titer and specific yield are the highest ever reported in bacterial cells, which provides useful insights to develop an efficient host strain for BCFAs.

A Novel Approach for Gene Expression Optimization through Native Promoter and 5' UTR Combinations Based on RNA-seq, Ribo-seq, and TSS-seq of Streptomyces coelicolor.

Streptomycetes are Gram-positive mycelial bacteria, which synthesize a wide range of natural products including over two-thirds of the currently available antibiotics. However, metabolic engineering in Streptomyces species to overproduce a vast of natural products are hampered by a limited number of genetic tools. Here, two promoters and four 5' UTR sequences showing constant strengths were selected based upon multiomics data sets from Streptomyces coelicolor M145, including RNA-seq, Ribo-seq, and TSS-seq, for controllable transcription and translation. A total eight sets of promoter/5' UTR combinations, with minimal interferences of promoters on translation, were constructed using the transcription start site information, and evaluated with the GusA system. Expression of GusA could be controlled to various strengths in three different media, in a range of 0.03- to 2.4-fold, compared to that of the control, ermE*P/Shine-Dalgarno sequence. This method was applied to engineer three previously reported promoters to enhance gene expressions. The expressions of ActII-ORF4 and MetK were also tuned for actinorhodin overproductions in S. coelicolor as examples. In summary, we provide a novel approach and tool for optimizations of gene expressions in Streptomyces coelicolor.

Effects of Sucrose, Phosphate, and Calcium Carbonate on the Production of Pikromycin from Streptomyces venezuelae.

Polyketide secondary metabolites share common precursor pools, acyl-CoA. Thus, the effects of engineering strategies for heterologous and native secondary metabolite production are often determined by the measurement of pikromycin in Streptomyces venezuelae. It is hard to compare the effectiveness of engineering targets among published data owing to the different pikromycin production media used from one study to the other. To determine the most important nutritional factor and establish optimal culture conditions, medium optimization of pikromycin from Streptomyces venezuelae ATCC 15439 was studied with a statistical method, Plackett-Burman design. Nine variables (glucose, sucrose, peptone, (NH4)2SO4, K2HPO4, KH2PO4, NaCl, MgSO4·7H2O, and CaCO3) were analyzed for their effects on a response, pikromycin. Glucose, K2HPO4, and CaCO3 were determined to be the most significant factors. The path of the steepest ascent and response surface methodology about the three selected components were performed to study interactions among the three factors, and the fine-tune concentrations for maximized product yields. The significant variables and optimal concentrations were 139 g/1 sucrose, 5.29 g/l K2HPO4, and 0.081 g/l CaCO3, with the maximal pikromycin yield of 35.5 mg/l. Increases of the antibiotics production by 1.45-fold, 1.3-fold, and 1.98-fold, compared with unoptimized medium and two other pikromycin production media SCM and SGGP, respectively, were achieved.