Promoter engineering of natural product biosynthetic gene clusters in actinomycetes: concepts and applications.

Covering 2011 to 2022Low titers of natural products in laboratory culture or fermentation conditions have been one of the challenging issues in natural products research. Many natural product biosynthetic gene clusters (BGCs) are also transcriptionally silent in laboratory culture conditions, making it challenging to characterize the structures and activities of their metabolites. Promoter engineering offers a potential solution to this problem by providing tools for transcriptional activation or optimization of biosynthetic genes. In this review, we summarize the 10 years of progress in promoter engineering approaches in natural products research focusing on the most metabolically talented group of bacteria actinomycetes.

CaExTun: Mitigating Cas9-Related Toxicity in Streptomyces through Species-Specific Expression Tuning with Randomized Constitutive Promoters.

The CRISPR/Cas9 system provides an efficient tool for engineering genomes. However, its application to Streptomyces genome engineering has been hampered by excessive toxicity associated with overexpression of Cas9 protein. As the level of Cas9 toxicity varies significantly between Streptomyces species, species-specific optimization of Cas9 expression is a strategy to mitigate its toxicity while maintaining sufficient double-strand break (DSB) activity for genome engineering. Using a pool of randomized constitutive promoters and a blue pigment indigoidine biosynthetic gene (IndC) as a reporter, we developed the CaExTun (Cas9 Expression Tuning) platform, which enables rapid screening of a large pool of promoter-Cas9 constructs to quickly recover the one with high DSB activity and no apparent toxicity. We demonstrate the utility of CaExTun using four model Streptomyces species. We also show that CaExTun can be applied to the CRISPRi system by allowing the construction of a library of promoter-dCas9 constructs that confer a wide range of gene repression levels. As demonstrated here, CaExTun is a versatile tool for the rapid optimization of the CRISPR/Cas9 system in a species-specific manner and thus will facilitate CRISPR/Cas9-based genome engineering efforts in Streptomyces.

Top-down synthetic biology approach for titer improvement of clinically important antibiotic daptomycin in Streptomyces roseosporus.

Secondary metabolites are produced at low titers by native producers due to tight regulations of their productions in response to environmental conditions. Synthetic biology provides a rational engineering principle for transcriptional optimization of secondary metabolite BGCs (biosynthetic gene clusters). Here, we demonstrate the use of synthetic biology principles for the development of a high-titer strain of the clinically important antibiotic daptomycin. Due to the presence of large NRPS (non-ribosomal peptide synthetase) genes with multiple direct repeats, we employed a top-down approach that allows transcriptional optimization of genes in daptomycin BGC with the minimum inputs of synthetic DNAs. The repeat-free daptomycin BGC was created through partial codon-reprogramming of a NRPS gene and cloned into a shuttle BAC vector, allowing BGC refactoring in a host with a powerful recombination system. Then, transcriptions of functionally divided operons were sequentially optimized through three rounds of DBTL (design-build-test-learn) cycles that resulted in up to ~2300% improvement in total lipopeptide titers compared to the wild-type strain. Upon decanoic acid feeding, daptomycin accounted for ∼ 40% of total lipopeptide production. To the best of our knowledge, this is the highest improvement of daptomycin titer ever achieved through genetic engineering of S. roseosporus. The top-down engineering approach we describe here could be used as a general strategy for the development of high-titer industrial strains of secondary metabolites produced by BGCs containing genes of large multi-modular NRPS and PKS enzymes.

Comparative Genomics Reveals a Remarkable Biosynthetic Potential of the Streptomyces Phylogenetic Lineage Associated with Rugose-Ornamented Spores.

The genus Streptomyces is one of the richest sources of secondary metabolite biosynthetic gene clusters (BGCs). Sequencing of a large number of genomes has provided evidence that this well-known bacterial genus still harbors a large number of cryptic BGCs, and their metabolites are yet to be discovered. When taking a gene-first approach for new natural product discovery, BGC prioritization would be the most crucial step for the discovery of novel chemotypes. We hypothesized that strains with a greater number of BGCs would also contain a greater number of silent unique BGCs due to the presence of complex regulatory systems. Based on this hypothesis, we employed a comparative genomics approach to identify a specific Streptomyces phylogenetic lineage with the highest and yet-uncharacterized biosynthetic potential. A comparison of BGC abundance and genome size across 158 phylogenetically diverse Streptomyces type strains identified that members of the phylogenetic group characterized by the formation of rugose-ornamented spores possess the greatest number of BGCs (average, 50 BGCs) and also the largest genomes (average, 11.5 Mb). The study of genetic and biosynthetic diversities using comparative genomics of 11 sequenced genomes and a genetic similarity network analysis of BGCs suggested that members of this group carry a large number of unique BGCs, the majority of which are cryptic and not associated with any known natural product. We believe that members of this Streptomyces phylogenetic group possess a remarkable biosynthetic potential and thus would be a good target for a metabolite characterization study that could lead to the discovery of novel chemotypes. IMPORTANCE It is now well recognized that members of the genus Streptomyces still harbor a large number of cryptic BGCs in their genomes, which are mostly silent under laboratory culture conditions. Activation of transcriptionally silent BGCs is technically challenging and thus forms a bottleneck when taking a gene-first approach for the discovery of new natural products. Thus, it is important to focus activation efforts on strains with BGCs that have the potential to produce novel metabolites. The clade-level analysis of biosynthetic diversity could provide insights into the relationship between phylogenetic lineage and biosynthetic diversity. By exploring BGC abundance in relation to Streptomyces phylogeny, we identified a specific monophyletic lineage associated with the highest BGC abundance. Then, using a combined analysis of comparative genomics and a genetic network, we demonstrated that members of this lineage are genetically and biosynthetically diverse, contain a large number of cryptic BGCs with novel genotypes, and thus would be a good target for metabolite characterization studies.

mpCRISTAR: Multiple Plasmid Approach for CRISPR/Cas9 and TAR-Mediated Multiplexed Refactoring of Natural Product Biosynthetic Gene Clusters.

Multiplexed refactoring provides a tool for rapid transcriptional optimization of biosynthetic gene clusters (BGCs) through simultaneous replacement of multiple native promoters with synthetic counterparts. Here, we present the mpCRISTAR, a multiple plasmid-based CRISPR/Cas9 and TAR (transformation-associated recombination), that enables a rapid and highly efficient, multiplexed refactoring of natural product BGCs in yeast. A series of CRISPR plasmids with different auxotrophic markers that could be stably maintained in yeast cells were constructed to express multiple gRNAs simultaneously. We demonstrated the multiplexing capacity of mpCRISTAR using the actinorhodin biosynthetic gene cluster as a model cluster. mpCRISTAR1, in which each CRISPR plasmid expresses one gRNA, allows for simultaneous replacement of up to four promoter sites with nearly 100% efficiency. By expressing two gRNAs from one CRISPR plasmid, termed mpCRISTAR2, we simultaneously replaced a total of six and eight promoter sites with 68% and 32% efficiency, respectively. The mpCRISTAR could be performed iteratively using two different auxotrophic markers, allowing for refactoring of any type of BGC regardless of their operon complexities. The mpCRISTAR platform we report here would become a useful tool for the discovery of new natural products from transcriptionally silent biosynthetic gene clusters present in microbial genomes.