Heterologous expression-facilitated natural products' discovery in actinomycetes

High-Throughput Mining of Novel Compounds from Known Microbes: A Boost to Natural Product Screening

Advanced techniques can accelerate the pace of natural product discovery from microbes, which has been lagging behind the drug discovery era. Therefore, the present review article discusses the various interdisciplinary and cutting-edge techniques to present a concrete strategy that enables the high-throughput screening of novel natural compounds (NCs) from known microbes. Recent bioinformatics methods revealed that the microbial genome contains a huge untapped reservoir of silent biosynthetic gene clusters (BGC). This article describes several methods to identify the microbial strains with hidden mines of silent BGCs. Moreover, antiSMASH 5.0 is a free, accurate, and highly reliable bioinformatics tool discussed in detail to identify silent BGCs in the microbial genome. Further, the latest microbial culture technique, HiTES (high-throughput elicitor screening), has been detailed for the expression of silent BGCs using 500-1000 different growth conditions at a time. Following the expression of silent BGCs, the latest mass spectrometry methods are highlighted to identify the NCs. The recently emerged LAESI-IMS (laser ablation electrospray ionization-imaging mass spectrometry) technique, which enables the rapid identification of novel NCs directly from microtiter plates, is presented in detail. Finally, various trending 'dereplication' strategies are emphasized to increase the effectiveness of NC screening.

CRISPR-aided genome engineering for secondary metabolite biosynthesis in Streptomyces

The demand for discovering novel microbial secondary metabolites is growing to address the limitations in bioactivities such as antibacterial, antifungal, anticancer, anthelmintic, and immunosuppressive functions. Among microbes, the genus Streptomyces holds particular significance for secondary metabolite discovery. Each Streptomyces species typically encodes approximately 30 secondary metabolite biosynthetic gene clusters (smBGCs) within its genome, which are mostly uncharacterized in terms of their products and bioactivities. The development of next-generation sequencing has enabled the identification of a large number of potent smBGCs for novel secondary metabolites that are imbalanced in number compared with discovered secondary metabolites. The clustered regularly interspaced short palindromic repeat (CRISPR)/CRISPR-associated (Cas) system has revolutionized the translation of enormous genomic potential into the discovery of secondary metabolites as the most efficient genetic engineering tool for Streptomyces. In this review, the current status of CRISPR/Cas applications in Streptomyces is summarized, with particular focus on the identification of secondary metabolite biosynthesis gene clusters and their potential applications.This review summarizes the broad range of CRISPR/Cas applications in Streptomyces for natural product discovery and production.

ONE-SENTENCE SUMMARY

This review summarizes the broad range of CRISPR/Cas applications in Streptomyces for natural product discovery and production.

Development of a native-locus dual reporter system for the efficient screening of the hyper-production of natural products in Streptomyces

Streptomyces is renowned for its abundant production of bioactive secondary metabolites, but most of these natural products are produced in low yields. Traditional rational network refactoring is highly dependent on the comprehensive understanding of regulatory mechanisms and multiple manipulations of genome editing. Though random mutagenesis is fairly straightforward, it lacks a general and effective strategy for high throughput screening of the desired strains. Here in an antibiotic daptomycin producer S. roseosporus, we developed a dual-reporter system at the native locus of the daptomycin gene cluster. After elimination of three enzymes that potentially produce pigments by genome editing, a gene idgS encoding the indigoidine synthetase and a kanamycin resistant gene neo were integrated before and after the non-ribosomal peptidyl synthetase genes for daptomycin biosynthesis, respectively. After condition optimization of UV-induced mutagenesis, strains with hyper-resistance to kanamycin along with over-production of indigoidine were efficiently obtained after one round of mutagenesis and target screening based on the dual selection of the reporter system. Four mutant strains showed increased production of daptomycin from 1.4 to 6.4 folds, and significantly improved expression of the gene cluster. Our native-locus dual reporter system is efficient for targeting screening after random mutagenesis and would be widely applicable for the effective engineering of Streptomyces species and hyper-production of these invaluable natural products for pharmaceutical development.

Revisiting the manzamine biosynthetic hypothesis

Covering: up to 2023The marine environment represents a rich yet challenging source of novel therapeutics. These challenges are best exemplified by the manzamine class of alkaloids, featuring potent bioactivities, difficult procurement, and a biosynthetic pathway that has eluded characterization for over three decades. This review highlights postulated biogenic pathways toward the manzamines, evaluated in terms of current biosynthetic knowledge and metabolic precedent.

Breaking the Bottleneck in Anticancer Drug Development: Efficient Utilization of Synthetic Biology

Natural products have multifarious bioactivities against bacteria, fungi, viruses, cancers and other diseases due to their diverse structures. Nearly 65% of anticancer drugs are natural products or their derivatives. Thus, natural products play significant roles in clinical cancer therapy. With the development of biosynthetic technologies, an increasing number of natural products have been discovered and developed as candidates for clinical cancer therapy. Here, we aim to summarize the anticancer natural products approved from 1950 to 2021 and discuss their molecular mechanisms. We also describe the available synthetic biology tools and highlight their applications in the development of natural products.

Streptomyces BAC Cloning of a Large-Sized Biosynthetic Gene Cluster of NPP B1, a Potential SARS-CoV-2 RdRp Inhibitor

As valuable antibiotics, microbial natural products have been in use for decades in various fields. Among them are polyene compounds including nystatin, amphotericin, and nystatin-like Pseudonocardia polyenes (NPPs). Polyene macrolides are known to possess various biological effects, such as antifungal and antiviral activities. NPP A1, which is produced by Pseudonocardia autotrophica, contains a unique disaccharide moiety in the tetraene macrolide backbone. NPP B1, with a heptane structure and improved antifungal activity, was then developed via genetic manipulation of the NPP A1 biosynthetic gene cluster (BGC). Here, we generated a Streptomyces artificial chromosomal DNA library to isolate a large-sized NPP B1 BGC. The NPP B1 BGC was successfully isolated from P. autotrophica chromosome through the construction and screening of a bacterial artificial chromosome (BAC) library, even though the isolated 140-kb BAC clone (named pNPPB1s) lacked approximately 8 kb of the right-end portion of the NPP B1 BGC. The additional introduction of the pNPPB1s as well as co-expression of the 32-kb portion including the missing 8 kb led to a 7.3-fold increase in the production level of NPP B1 in P. autotrophica. The qRT-PCR confirmed that the transcription level of NPP B1 BGC was significantly increased in the P. autotrophica strain containing two copies of the NPP B1 BGCs. Interestingly, the NPP B1 exhibited a previously unidentified SARS-CoV-2 RNA-dependent RNA polymerase (RdRp) inhibition activity in vitro. These results suggest that the Streptomyces BAC cloning of a large-sized, natural product BGC is a valuable approach for titer improvement and biological activity screening of natural products in actinomycetes.

Harnessing Rare Actinomycete Interactions and Intrinsic Antimicrobial Resistance Enables Discovery of an Unusual Metabolic Inhibitor

Bacterial natural products have historically been a deep source of new medicines, but their slowed discovery in recent decades has put a premium on developing strategies that enhance the likelihood of capturing novel compounds. Here, we used a straightforward approach that capitalizes on the interactive ecology of “rare” actinomycetes. Specifically, we screened for interactions that triggered the production of antimicrobials that inhibited the growth of a bacterial strain with exceptionally diverse natural antimicrobial resistance. This strategy led to the discovery of a family of antimicrobials we term the dynaplanins. Heterologous expression enabled identification of the dynaplanin biosynthetic gene cluster, which was missed by typical algorithms for natural product gene cluster detection. Genome sequencing of partially resistant mutants revealed a 2-oxo acid dehydrogenase E2 subunit as the likely molecular target of the dynaplanins, and this finding was supported by computational modeling of the dynaplanin scaffold within the active site of this enzyme. Thus, this simple strategy, which leverages microbial interactions and natural antibiotic resistance, can enable discovery of molecules with unique antimicrobial activity. In addition, these results indicate that primary metabolism may be a direct target for inhibition via chemical interference in competitive microbial interactions.

Glycopeptide antibiotic discovery in the genomic era

Glycopeptide antibiotics are essential drugs used to treat infections caused by multi-drug resistant Gram-positive pathogens. There is a continuous need for new antibiotics, including GPAs, to address emerging resistance and offer desirable pharmacological profiles for improved efficacy. Microbial natural products are proven sources of antibiotics, and this source has dominated drug discovery over the past century. Bacteria from the phylum Actinobacteria are particularly renowned for producing a diverse range of bioactive natural products including glycopeptide antibiotics. The traditional approach to mining this resource is through the culture and extraction of natural products followed by assay for cell-killing activity. Unfortunately, this method no longer efficiently yields new antibiotic leads, delivering instead known compounds. Whole-genome sequencing programs on the other hand are revealing thousands of unexplored natural product biosynthetic gene clusters in the chromosomes of Actinobacteria. These gene clusters encode the necessary enzymes, transport and resistance mechanisms, along with regulatory elements for the biosynthesis of a variety of antibiotics. Identification of uncharacterized or cryptic biosynthetic gene clusters to unlock the chemical "dark matter" represents a new direction for the discovery of new drug candidates. This chapter discusses the identification of glycopeptide antibiotic biosynthetic gene clusters in microbial genomes, the improved production of these antibiotics using the GPAHex synthetic biology platform, and methods for their purification.

Discovery of novel septacidin congeners from a high yield heterologous expression strain Streptomyces albus 1597

Septacidin is an adenine nucleoside antibiotic with antifungal and antitumor activities. During the efforts to construct a better septacidin producer, we obtained a high yield strain S. albus 1597 by putting the biosynthetic gene cluster (BGC) of septacidin under the control of the constitutive strong promoter ermE*. S. albus 1597 could produce new septacidin congeners SEP-538 and SEP-552 with shorter fatty acyl chains. Moreover, SEP-624 with an unprecedented hydroxylated fatty acyl chain was also isolated from this titre improved strain, enriching the diversity of septacidins. SEP-552 showed moderate inhibitory effects against Epidermophyton floccosum 57312 with MIC value 62.5 μM, while SEP-538 and SEP-624 only exhibited weak antifungal activities. The structure-activity relationship investigation revealed that the antifungal activity of septacidins is significantly influenced by the length of and the decoration on their fatty acyl chains.

In silico genome mining of potential novel biosynthetic gene clusters for drug discovery from Burkholderia bacteria

As an emerging resource, Gram-negative Burkholderia bacteria were able to produce a wide range of bioactive secondary metabolites with potential therapeutic and biotechnological applications. Genome mining has emerged as an influential platform for screening and pinpointing natural product diversity with the increasing number of Burkholderia genome sequences. Here, for genome mining of potential biosynthetic gene clusters (BGCs) and prioritizing prolific producing Burkholderia strains, we investigated the relationship between species evolution and distribution of main BGC groups using computational analysis of complete genome sequences of 248 Burkholderia species publicly available. We uncovered significantly differential distribution patterns of BGCs in the Burkholderia phyla, even among strains that are genetically very similar. We found various types of BGCs in Burkholderia, including some representative and most common BGCs for biosynthesis of encrypted or known terpenes, non-ribosomal peptides (NRPs) and some hybrid BGCs for cryptic products. We also observed that Burkholderia contain a lot of unspecified BGCs, representing high potentials to produce novel compounds. Analysis of BGCs for RiPPs (Ribosomally synthesized and posttranslationally modified peptides) and a texobactin-like BGC as examples showed wide classification and diversity of RiPP BGCs in Burkholderia at species level and metabolite predication. In conclusion, as the biggest investigation in silico by far on BGCs of the particular genus Burkholderia, our data implied a great diversity of natural products in Burkholderia and BGC distributions closely related to phylogenetic variation, and suggested different or concurrent strategies used to identify new drug molecules from these microorganisms will be important for the selection of potential BGCs and prolific producing strains for drug discovery.

Reactivity-based screening for natural product discovery

Natural products have traditionally been a fruitful source of chemical matter that has been developed into novel therapeutics. Actinomycetes and several other bacterial taxa are especially gifted in biosynthesizing natural products. However, many decades of intense bioactivity-based screening led to a large rediscovery problem, rendering industrial natural product discovery pipelines uneconomical. Numerous methods for circumventing the rediscovery problem have been developed, among them various chemistry-focused strategies, including reactivity-based screening. Emerging from the field of chemical proteomics, reactivity-based screening relies on a reactive probe that chemoselectively modifies a functional group of interest in the context of a complex biological sample. Reactivity-based probes for several distinct functional groups have been deployed to discover new polyketide and peptidic natural products. This chapter describes the protocols to conduct a reactivity-based screening campaign, including bacteria cultivation and screening of cellular extracts with phenylglyoxal-, tetrazine-, thiol-, and aminooxy-functionalized probes, which respectively target primary uriedo, electron-rich olefins, Michael acceptors, and reactive carbonyls. In addition, a recent case study is presented that employs reactivity-based screening as a component of a forward genetics screen to identify a previously unknown peptidyl arginine deiminase. We anticipate that these methods will be useful for those interested in discovering natural products that evade detection by traditional, bioassay-guided methods and others who wish to rapidly connect metabolic chemotype with genotype.

Genome mining for drug discovery: progress at the front end

Microbial genome mining for drug discovery and development has been accelerating in recent years, driven by technical advancements in genome sequencing, bioinformatics, metabolomics/metabologenomics, and synthetic biology. Microbial genome mining is a multistep process that starts with the sequencing of microbes that encode multiple secondary metabolites and identifying new and novel secondary metabolite biosynthetic gene clusters (BGCs) to pursue. The initial steps in the process are critical for the overall success, and they encompass the most innovative new technologies to revitalize natural product discovery. As microbial genome mining has matured in recent years, unvalidated conjectures about what microbes to pursue, how to identify legitimate secondary metabolite BGCs, and how to sequence DNA to satisfactory levels of completion have been identified. The solutions to correct the misconceptions around these topics are beginning to be implemented.

Refactoring biosynthetic gene clusters for heterologous production of microbial natural products

Microbial natural products (NPs) are of paramount importance in human medicine, animal health and plant crop protection. Large-scale microbial genome and metagenomic mining has revealed tremendous biosynthetic potential to produce new NPs. However a majority of NP biosynthetic gene clusters (BGCs) are functionally inaccessible under standard laboratory conditions. BGC refactoring and heterologous expression provide a promising synthetic biology approach to NP discovery, yield optimization and combinatorial biosynthesis studies. In this review, we summarize the recent advances pertaining to the heterologous production of bacterial and fungal NPs, with an emphasis on next-generation transcriptional regulatory modules, novel BGC refactoring techniques and optimized heterologous hosts.

Synthetic biology approaches to actinomycete strain improvement

Their biochemical versatility and biotechnological importance make actinomycete bacteria attractive targets for ambitious genetic engineering using the toolkit of synthetic biology. But their complex biology also poses unique challenges. This mini review discusses some of the recent advances in synthetic biology approaches from an actinomycete perspective and presents examples of their application to the rational improvement of industrially relevant strains.

Deciphering a Cyclodipeptide Synthase Pathway Encoding Prenylated Indole Alkaloids in Streptomyces leeuwenhoekii

Cyclodipeptide synthases (CDPSs) catalyze the formation of cyclodipeptides using aminoacylated tRNAs as the substrates and have great potential in the production of diverse 2,5-diketopiperazines (2,5-DKPs). Genome mining of Streptomyces leeuwenhoekii NRRL B-24963 revealed a two-gene locus, saz, encoding CDPS SazA and a unique fused enzyme (SazB) harboring two domains: phytoene synthase-like prenyltransferase (PT) and methyltransferase (MT). Heterologous expression of the saz gene(s) in Streptomyces albus J1074 led to the production of four prenylated indole alkaloids, among which streptoazines A to C (compounds 3 to 5) are new compounds. Expression of different gene combinations showed that the SazA catalyzes the formation of cyclo(l-Trp-l-Trp) (cWW; compound 1), followed by consecutive prenylation and methylation by SazB. Biochemical assays demonstrated that SazB is a bifunctional enzyme, catalyzing sequential C-3/C-3' prenylation(s) by SazB-PT and N-1/N-1' methylation(s) by SazB-MT. Of note, the substrate selectivity of SazB-PT and SazB-MT was probed, revealing the stringent specificity of SazB-PT but relative flexibility of SazB-MT.IMPORTANCE Natural products with a 2,5-diketopiperazine (2,5-DKP) skeleton have long sparked interest in drug discovery and development. Recent advances in microbial genome sequencing have revealed that the potential of cyclodipeptide synthase (CDPS)-dependent pathways encoding new 2,5-DKPs are underexplored. In this study, we report the genome mining of a new CDPS-encoding two-gene operon and activation of this cryptic gene cluster through heterologous expression, leading to the discovery of four indole 2,5-DKP alkaloids. The cyclo(l-Trp-l-Trp) (cWW)-synthesizing CDPS SazA and the unusual prenyltransferase (PT)-methyltransferase (MT) fused enzyme SazB were characterized. Our results expand the repertoire of CDPSs and associated tailoring enzymes, setting the stage for accessing diverse prenylated alkaloids using synthetic biology strategies.

Synthetic biology-inspired strategies and tools for engineering of microbial natural product biosynthetic pathways

Microbial-derived natural products (NPs) and their derivative products are of great importance and used widely in many fields, especially in pharmaceutical industries. However, there is an immediate need to establish innovative approaches, strategies, and techniques to discover new NPs with novel or enhanced biological properties, due to the less productivity and higher cost on traditional drug discovery pipelines from natural bioresources. Revealing of untapped microbial cryptic biosynthetic gene clusters (BGCs) using DNA sequencing technology and bioinformatics tools makes genome mining possible for NP discovery from microorganisms. Meanwhile, new approaches and strategies in the area of synthetic biology offer great potentials for generation of new NPs by engineering or creating synthetic systems with improved and desired functions. Development of approaches, strategies and tools in synthetic biology can facilitate not only exploration and enhancement in supply, and also in the structural diversification of NPs. Here, we discussed recent advances in synthetic biology-inspired strategies, including bioinformatics and genetic engineering tools and approaches for identification, cloning, editing/refactoring of candidate biosynthetic pathways, construction of heterologous expression hosts, fitness optimization between target pathways and hosts and detection of NP production.

A novel methymycin analog, 12-ketomethymycin N-oxide, produced by the heterologous expression of the large pikromycin/methymycin biosynthetic gene cluster of Streptomyces sp. AM4900

A novel methymycin analog, 12-ketomethymycin N-oxide, was produced by the heterologous expression of the pikromycin/methymycin biosynthetic gene cluster of Streptomyces sp. AM4900 together with 12-ketomethymycin, which was only isolated by the biotransformation of the synthetic intermediate before. Their structures were determined by the spectroscopic data and the chemical derivatization. 12-Ketomethymycin showed a weak cytotoxicity against SKOV-3 and Jurkat cells, although its N-oxide analog did not show any activity. Both showed no antibacterial activities against Escherichia coli and Micrococcus luteus.

Genome mining for drug discovery: cyclic lipopeptides related to daptomycin

The cyclic lipopeptide antibiotics structurally related to daptomycin were first reported in the 1950s. Several have common lipopeptide initiation, elongation, and termination mechanisms. Initiation requires the use of a fatty acyl-AMP ligase (FAAL), a free-standing acyl carrier protein (ACP), and a specialized condensation (C^III) domain on the first NRPS elongation module to couple the long chain fatty acid to the first amino acid. Termination is carried out by a dimodular NRPS that contains a terminal thioesterase (Te) domain (CAT-CATTe). Lipopeptide BGCs also encode ABC transporters, apparently for export and resistance. The use of this mechanism of initiation, elongation, and termination, coupled with molecular target-agnostic resistance, has provided a unique basis for robust natural and experimental combinatorial biosynthesis to generate a large variety of structurally related compounds, some with altered or different antibacterial mechanisms of action. The FAAL, ACP, and dimodular NRPS genes were used as molecular beacons to identify phylogenetically related BGCs by BLASTp analysis of finished and draft genome sequences. These and other molecular beacons have identified: (i) known, but previously unsequenced lipopeptide BGCs in draft genomes; (ii) a new daptomycin family BGC in a draft genome of Streptomyces sedi; and (iii) novel lipopeptide BGCs in the finished genome of Streptomyces ambofaciens and the draft genome of Streptomyces zhaozhouensis.

Recent Advances in Silent Gene Cluster Activation in Streptomyces

Natural products (NPs) are critical sources of drug molecules for decades. About two-thirds of natural antibiotics are produced by Streptomyces. Streptomyces have a large number of secondary metabolite biosynthetic gene clusters (SM-BGCs) that may encode NPs. However, most of these BGCs are silent under standard laboratory conditions. Hence, activation of these silent BGCs is essential to current natural products discovery research. In this review, we described the commonly used strategies for silent BGC activation in Streptomyces from two aspects. One focused on the strategies applied in heterologous host, including methods to clone and reconstruct BGCs along with advances in chassis engineering; the other focused on methods applied in native host which includes engineering of promoters, regulatory factors, and ribosomes. With the metabolic network being elucidated more comprehensively and methods optimized more high-thoroughly, the discovery of NPs will be greatly accelerated.

Automatic reconstruction of metabolic pathways from identified biosynthetic gene clusters

Background

A wide range of bioactive compounds is produced by enzymes and enzymatic complexes encoded in biosynthetic gene clusters (BGCs). These BGCs can be identified and functionally annotated based on their DNA sequence. Candidates for further research and development may be prioritized based on properties such as their functional annotation, (dis)similarity to known BGCs, and bioactivity assays. Production of the target compound in the native strain is often not achievable, rendering heterologous expression in an optimized host strain as a promising alternative. Genome-scale metabolic models are frequently used to guide strain development, but large-scale incorporation and testing of heterologous production of complex natural products in this framework is hampered by the amount of manual work required to translate annotated BGCs to metabolic pathways. To this end, we have developed a pipeline for an automated reconstruction of BGC associated metabolic pathways responsible for the synthesis of non-ribosomal peptides and polyketides, two of the dominant classes of bioactive compounds.

Results

The developed pipeline correctly predicts 72.8% of the metabolic reactions in a detailed evaluation of 8 different BGCs comprising 228 functional domains. By introducing the reconstructed pathways into a genome-scale metabolic model we demonstrate that this level of accuracy is sufficient to make reliable in silico predictions with respect to production rate and gene knockout targets. Furthermore, we apply the pipeline to a large BGC database and reconstruct 943 metabolic pathways. We identify 17 enzymatic reactions using high-throughput assessment of potential knockout targets for increasing the production of any of the associated compounds. However, the targets only provide a relative increase of up to 6% compared to wild-type production rates.

Conclusion

With this pipeline we pave the way for an extended use of genome-scale metabolic models in strain design of heterologous expression hosts. In this context, we identified generic knockout targets for the increased production of heterologous compounds. However, as the predicted increase is minor for any of the single-reaction knockout targets, these results indicate that more sophisticated strain-engineering strategies are necessary for the development of efficient BGC expression hosts.

An efficient system for stable markerless integration of large biosynthetic gene clusters into Streptomyces chromosomes

The bacteria of the genus Streptomyces are among the most important producers of biologically active secondary metabolites. Moreover, recent genomic sequence data have shown their enormous genetic potential for new natural products, although many new biosynthetic gene clusters (BGCs) are silent. Therefore, efficient and stable genome modification techniques are needed to activate their production or to manipulate their biosynthesis towards increased production or improved properties. We have recently developed an efficient markerless genome modification system for streptomycetes based on positive blue/white selection of double crossovers using the bpsA gene from indigoidine biosynthesis, which has been successfully applied for markerless deletions of genes and BGCs. In the present study, we optimized this system for markerless insertion of large BGCs. In a pilot test experiment, we successfully inserted a part of the landomycin BGC (lanFABCDL) under the control of the ermEp* promoter in place of the actinorhodin BGC (act) of Streptomyces lividans TK24 and RedStrep 1.3. The resulting strains correctly produced UWM6 and rabelomycin in twice the yield compared to S. lividans strains with the same construct inserted using the PhiBT1 phage-based integration vector system. Moreover, the system was more stable. Subsequently, using the same strategy, we effectively inserted the entire BGC for mithramycin (MTM) in place of the calcium-dependent antibiotic BGC (cda) of S. lividans RedStrep 1.3 without antibiotic-resistant markers. The resulting strain produced similar levels of MTM when compared to the previously described S. lividans RedStrep 1.3 strain with the VWB phage-based integration plasmid pMTMF. The system was also more stable. KEY POINTS: • Optimized genome editing system for markerless insertion of BGCs into Streptomyces genomes • Efficient heterologous production of MTM in the stable engineered S. lividans strain.

Investigation of the effects of actinorhodin biosynthetic gene cluster expression and a rpoB point mutation on the metabolome of Streptomyces coelicolor M1146

The previously reported Streptomyces coelicolor M1146 is commonly used as a host strain for engineering of secondary metabolite production. In this study, absolute quantification of intracellular and extracellular metabolites of M1146 was performed in mid-log phase and stationary phase to observe major metabolites and the changes that occurred during growth. Decreased levels of central carbon metabolites (glycolysis, TCA cycle, and pentose phosphate pathway) and increased levels of amino acids were observed in stationary phase compared to mid-log phase. Furthermore, comparative metabolome analyses of M1146 upon expression of the actinorhodin biosynthetic gene cluster (M1146+ACT), a point mutation on the rpoB gene encoding RNA polymerase beta-subunit (M1152), and both expression of actinorhodin biosynthetic gene cluster and a rpoB point mutation (M1152+ACT) were performed. M1146+ACT showed higher levels of important cofactors, such as ATP, NADPH, and FMN while M1152 led to higher levels of intracellular S-adenosyl-methionine, acyl-CoAs, and extracellular nucleosides compared to M1146. M1152+ACT exhibited the highest levels of actinorhodin with elevated bases, nucleosides, and nucleotides, such as intracellular PRPP (phosphoribosyl phosphate), ATP, along with extracellular inosine, uridine, and guanine compared to the other three strains, which were considered to be combined effects of actinorhodin gene cluster expression and a rpoB point mutation. Metabolites analysis by means of absolute quantification demonstrated changes in precursors of secondary metabolites before and after phosphate depletion in M1146. Comparative metabolome analysis provided further insights into the effects of actinorhodin gene cluster expression along with a rpoB point mutation on the metabolome of S. coelicolor.

Systems and synthetic biology to elucidate secondary metabolite biosynthetic gene clusters encoded in Streptomyces genomes

Covering: 2010 to 2020 Over the last few decades, Streptomyces have been extensively investigated for their ability to produce diverse bioactive secondary metabolites. Recent advances in Streptomyces research have been largely supported by improvements in high-throughput technology 'omics'. From genomics, numerous secondary metabolite biosynthetic gene clusters were predicted, increasing their genomic potential for novel bioactive compound discovery. Additional omics, including transcriptomics, translatomics, interactomics, proteomics and metabolomics, have been applied to obtain a system-level understanding spanning entire bioprocesses of Streptomyces, revealing highly interconnected and multi-layered regulatory networks for secondary metabolism. The comprehensive understanding derived from this systematic information accelerates the rational engineering of Streptomyces to enhance secondary metabolite production, integrated with the exploitation of the highly efficient 'Design-Build-Test-Learn' cycle in synthetic biology. In this review, we describe the current status of omics applications in Streptomyces research to better understand the organism and exploit its genetic potential for higher production of valuable secondary metabolites and novel secondary metabolite discovery.

Label-free proteomic dissection on dptP-deletion mutant uncovers dptP involvement in strain growth and daptomycin tolerance of Streptomyces roseosporus

Daptomycin (DAP) is a novel microbial lipopeptide antibiotic synthesized by the DAP biosynthetic gene cluster dpt of Streptomyces roseosporus (S. roseosporus). DptP gene locates upstream of dpt and confers DAP resistance to Streptomyces ambofaciens (S. ambofaciens). So far, the biological functions of dptP gene for S. roseosporus growth are still completely uncovered. We performed label‐free quantification proteomic dissections with loss‐ and gain‐of‐function experiments to decipher dptP‐involved functions. Deletion of dptP gene activated energy metabolism and metabolism of secondary metabolites pathways and enhanced the transcription levels and protein abundance of key members of the dpt cluster. Whereas dptP deletion inhibited transport/signal transduction and drug resistance pathways and protein abundance of cell division‐relative proteins, subsequently decreased mycelia cell growth rate. S. roseosporus strain with dptP deletion was more sensitive to DAP treatment compared to the wild type. In contrast, overexpression of dptP gene decreased transcription levels of DAP biosynthetic genes and enhanced growth rate of Streptomcyes strain upon elevated culture temperature and DAP supplementation. Taken together, dptP gene contributes to Streptomcyes primary growth under elevated temperature and DAP treatment, whereas it plays negative roles on metabolism of secondary metabolites and transcription of DAP biosynthetic genes.

Strategies for Discovering New Antibiotics from Bacteria in the Post-Genomic Era

New antibiotics are urgently required in clinical treatment and agriculture with the development of antimicrobial resistance. However, products discovered by repeating previous strategies are either not antibiotics or already known antibiotics. There is a growing demand for efficient strategies to discover new antibiotics. With the continuous improvement of gene sequencing technology and genomic data, some mining strategies have emerged. These strategies are expected to alleviate the current dilemma of antibiotics. In this review, we discuss the recent advances in discovery of bacterial antibiotics from the following aspects: activation of silent gene clusters, genome mining and metagenome mining. In the future, we envision the discovery of natural antibiotic will be accelerated by the combination of these strategies.

The Application of Regulatory Cascades in Streptomyces: Yield Enhancement and Metabolite Mining

Streptomyces is taken as an important resource for producing the most abundant antibiotics and other bio-active natural products, which have been widely used in pharmaceutical and agricultural areas. Usually they are biosynthesized through secondary metabolic pathways encoded by cluster situated genes. And these gene clusters are stringently regulated by interweaved transcriptional regulatory cascades. In the past decades, great advances have been made to elucidate the regulatory mechanisms involved in antibiotic production in Streptomyces. In this review, we summarized the recent advances on the regulatory cascades of antibiotic production in Streptomyces from the following four levels: the signals triggering the biosynthesis, the global regulators, the pathway-specific regulators and the feedback regulation. The production of antibiotic can be largely enhanced by rewiring the regulatory networks, such as overexpression of positive regulators, inactivation of repressors, fine-tuning of the feedback and ribosomal engineering in Streptomyces. The enormous amount of genomic sequencing data implies that the Streptomyces has potential to produce much more antibiotics for the great diversities and wide distributions of biosynthetic gene clusters in Streptomyces genomes. Most of these gene clusters are defined cryptic for unknown or undetectable natural products. In the synthetic biology era, activation of the cryptic gene clusters has been successfully achieved by manipulation of the regulatory genes. Chemical elicitors, rewiring regulatory gene and ribosomal engineering have been employed to crack the potential of cryptic gene clusters. These have been proposed as the most promising strategy to discover new antibiotics. For the complex of regulatory network in Streptomyces, we proposed that the discovery of new antibiotics and the optimization of industrial strains would be greatly promoted by further understanding the regulatory mechanism of antibiotic production.

The Application of Ribosome Engineering to Natural Product Discovery and Yield Improvement in Streptomyces

Microbial natural product drug discovery and development has entered a new era, driven by microbial genomics and synthetic biology. Genome sequencing has revealed the vast potential to produce valuable secondary metabolites in bacteria and fungi. However, many of the biosynthetic gene clusters are silent under standard fermentation conditions. By rational screening for mutations in bacterial ribosomal proteins or RNA polymerases, ribosome engineering is a versatile approach to obtain mutants with improved titers for microbial product formation or new natural products through activating silent biosynthetic gene clusters. In this review, we discuss the mechanism of ribosome engineering and its application to natural product discovery and yield improvement in Streptomyces. Our analysis suggests that ribosome engineering is a rapid and cost-effective approach and could be adapted to speed up the discovery and development of natural product drug leads in the post-genomic era.

Heterologous production of small molecules in the optimized Streptomyces hosts

Time span of literature covered: 2010-2018The genome mining of streptomycetes has revealed their great biosynthetic potential to produce novel natural products. One of the most promising exploitation routes of this biosynthetic potential is the refactoring and heterologous expression of corresponding biosynthetic gene clusters in a panel of specifically selected and optimized chassis strains. This article will review selected recent reports on heterologous production of natural products in streptomycetes. In the first part, the importance of heterologous production for drug discovery will be discussed. In the second part, the review will discuss recently developed genetic control elements (such as promoters, ribosome binding sites, terminators) and their application to achieve successful heterologous expression of biosynthetic gene clusters. Finally, the most widely used Streptomyces hosts for heterologous expression of biosynthetic gene clusters will be compared in detail. The article will be of interest to natural product chemists, molecular biologists, pharmacists and all individuals working in the natural products drug discovery field.

Engineering actinomycetes for biosynthesis of macrolactone polyketides

Actinobacteria are characterized as the most prominent producer of natural products (NPs) with pharmaceutical importance. The production of NPs from these actinobacteria is associated with particular biosynthetic gene clusters (BGCs) in these microorganisms. The majority of these BGCs include polyketide synthase (PKS) or non-ribosomal peptide synthase (NRPS) or a combination of both PKS and NRPS. Macrolides compounds contain a core macro-lactone ring (aglycone) decorated with diverse functional groups in their chemical structures. The aglycon is generated by megaenzyme polyketide synthases (PKSs) from diverse acyl-CoA as precursor substrates. Further, post-PKS enzymes are responsible for allocating the structural diversity and functional characteristics for their biological activities. Macrolides are biologically important for their uses in therapeutics as antibiotics, anti-tumor agents, immunosuppressants, anti-parasites and many more. Thus, precise genetic/metabolic engineering of actinobacteria along with the application of various chemical/biological approaches have made it plausible for production of macrolides in industrial scale or generation of their novel derivatives with more effective biological properties. In this review, we have discussed versatile approaches for generating a wide range of macrolide structures by engineering the PKS and post-PKS cascades at either enzyme or cellular level in actinobacteria species, either the native or heterologous producer strains.

Natural product drug discovery in the genomic era: realities, conjectures, misconceptions, and opportunities

Natural product discovery from microorganisms provided important sources for antibiotics, anti-cancer agents, immune-modulators, anthelminthic agents, and insecticides during a span of 50 years starting in the 1940s, then became less productive because of rediscovery issues, low throughput, and lack of relevant new technologies to unveil less abundant or not easily detected drug-like natural products. In the early 2000s, it was observed from genome sequencing that Streptomyces species encode about ten times as many secondary metabolites as predicted from known secondary metabolomes. This gave rise to a new discovery approach—microbial genome mining. As the cost of genome sequencing dropped, the numbers of sequenced bacteria, fungi and archaea expanded dramatically, and bioinformatic methods were developed to rapidly scan whole genomes for the numbers, types, and novelty of secondary metabolite biosynthetic gene clusters. This methodology enabled the identification of microbial taxa gifted for the biosynthesis of drug-like secondary metabolites. As genome sequencing technology progressed, the realities relevant to drug discovery have emerged, the conjectures and misconceptions have been clarified, and opportunities to reinvigorate microbial drug discovery have crystallized. This perspective addresses these critical issues for drug discovery.

Unlocking the potential of natural products in drug discovery

The natural product specialized metabolites produced by microbes and plants are the backbone of our current drugs. Despite their historical importance, few pharmaceutical companies currently emphasize their exploitation in new drug discovery and instead favour synthetic compounds as more tractable alternatives. Ironically, we are in a Golden Age of understanding of natural product biosynthesis, biochemistry and engineering. These advances have the potential to usher in a new era of natural product exploration and development taking full advantage of the unique and favourable properties of natural products compounds in drug discovery.