The natural productome

Capability of a large bacterial artificial chromosome clone harboring multiple biosynthetic gene clusters for the production of diverse compounds

The biosynthetic gene clusters (BGCs) for the macrocyclic lactone-based polyketide compounds are extremely large-sized because the polyketide synthases that generate the polyketide chains of the basic backbone are of very high molecular weight. In developing a heterologous expression system for the large BGCs amenable to the production of such natural products, we selected concanamycin as an appropriate target. We obtained a bacterial artificial chromosome (BAC) clone with a 211-kb insert harboring the entire BGC responsible for the biosynthesis of concanamycin. Heterologous expression of this clone in a host strain, Streptomyces avermitilis SUKA32, permitted the production of concanamycin, as well as that of two additional aromatic polyketides. Structural elucidation identified these additional products as ent-gephyromycin and a novel compound that was designated JBIR-157. We describe herein sequencing and expression studies performed on these BGCs, demonstrating the utility of large BAC clones for the heterologous expression of cryptic or near-silent loci.

Synthesis of Gamma-Butyrolactone Hormones Enables Understanding of Natural Product Induction

Bacteria produce natural products (NPs) via biosynthetic gene clusters. Unfortunately, many biosynthetic gene clusters are silent under traditional laboratory conditions. To access novel NPs, a better understanding of their regulation is needed. γ-Butyrolactones, including the A-factor and Streptomyces coelicolor butanolides, SCBs, are a major class of Streptomyces' hormones. Study of these hormones has been limited due to challenges in accessing them in stereochemically pure forms. Herein, we describe an efficient route to (R)-paraconyl alcohol, a key intermediate for these molecules, as well as a biocatalytic method to access the exocyclic hydroxyl group that differentiates A-factor-type from SCB-type hormones. Utilizing these methods, a library of hormones have been synthesized and tested in a green fluorescent protein reporter assay for their ability to relieve repression by the repressor ScbR. This allowed the most quantitative structure-activity relationship of γ-butyrolactones and a cognate repressor to date. Bioinformatics analysis strongly suggests that many other repressors of NP biosynthesis likely bind similar molecules. This efficient, diversifiable synthesis will enable further investigation of the regulation of NP biosynthesis.

Small molecule inducers of actinobacteria natural product biosynthesis

Actinobacteria are a large and diverse group of bacteria that are known to produce a wide range of secondary metabolites, many of which have important biological activities, including antibiotics, anti-cancer agents, and immunosuppressants. The biosynthesis of these compounds is often highly regulated with many natural products (NPs) being produced at very low levels in laboratory settings. Environmental factors, such as small molecule elicitors, can induce the production of secondary metabolites. Specifically, they can increase titers of known NPs as well as enabling discovery of novel NPs typically produced at undetectable levels. These elicitors can be NPs, including antibiotics or hormones, or synthetic compounds. In recent years, there has been a growing interest in the use of small molecule elicitors to induce the production of secondary metabolites from actinobacteria, especially for the discovery of NPs from "silent" biosynthetic gene clusters. This review aims to highlight classes of molecules that induce secondary metabolite production in actinobacteria and to describe the potential mechanisms of induction.

ONE-SENTENCE SUMMARY

This review describes chemical elicitors of actinobacteria natural products described to date and the proposed mechanisms of induction.

Marine Indole Alkaloids-Isolation, Structure and Bioactivities

Indole alkaloids are heterocyclic natural products with extensive pharmacological activities. As an important source of lead compounds, many clinical drugs have been derived from natural indole compounds. Marine indole alkaloids, from unique marine environments with high pressure, high salt and low temperature, exhibit structural diversity with various bioactivities, which attracts the attention of drug researchers. This article is a continuation of the previous two comprehensive reviews and covers the literature on marine indole alkaloids published from 2015 to 2021, with 472 new or structure-revised compounds categorized by sources into marine microorganisms, invertebrates, and plant-derived. The structures and bioactivities demonstrated in this article will benefit the synthesis and pharmacological activity study for marine indole alkaloids on their way to clinical drugs.

Activation of Cellular Antioxidant Defense System by Naturally Occurring Dibenzopyrone Derivatives Confers Neuroprotection against Oxidative Insults

Seven dibenzopyrone phenolic derivatives, i.e., alternariol (1), alternariol 5-O-methyl ether (2), altenusin B (3), dehydroaltenusin (4), altenuene (5), altenusin (6), and alterlactone (7), were isolated from endophytic fungi Alternaria alternata extract, and these compounds' structures were elucidated based on various spectroscopic data. Compound 3, a diphenic acid derivative, was determined as a new compound. In this study, compounds 3, 4, 6, and 7 displayed remarkable neuroprotective effects against oxidative injuries by acting as potent activators of nuclear factor-erythroid derived 2-like 2 (Nrf2) in PC12 cells. A mechanistic study indicated that these compounds induced the nuclear accumulation of Nrf2, promoted the expression of Nrf2-governed cytoprotective genes, and increased the cellular antioxidant capacity. More importantly, genetic silence of Nrf2 expression deprived the observed cytoprotection, highlighting the important role of Nrf2 in the protection of these compounds.

Antibacterial Potential of Termite-Associated Streptomyces spp

Twenty-one strains of termite-associated actinomycetes were tested for their activities against three bacteria. The results showed that nine strains showed bacteriostatic activities against at least one tested bacterium, and the actinomycete YH01, which was isolated from the body surface of the queen of Odontotermes formosanus, had potent antibacterial activity. The YH01 was further identified as Streptomyces davaonensis. Two metabolites roseoflavin (1) and 8-methylamino-8-demethyl-d-riboflavin (2) were isolated and purified from S. davaonensis YH01. Their structures were determined by NMR, MS, and the related literature. The metabolite 1 showed strong inhibition activities against Bacillus subtilis (MIC = 1.56 μg/mL) and Staphylococcus aureus (MIC = 3.125 μg/mL), which were comparable to referenced gentamycin sulfate, with MIC values of 1.56 and 1.56 μg/mL, respectively. Furthermore, the anti-MRSA potential of compound 1 was determined against nine kinds of MRSA strains, with inhibition zones in the ranges of 12.7-19.7 mm under a concentration of 15 μg/6 mm discs and 18.3-22.7 mm under a concentration of 30 μg/6 mm discs. However, metabolite 1 had no inhibitory effect on Gram-negative bacteria. These results suggested that roseoflavin produced by YH01 holds promise for use against Gram-positive bacteria, especially to MRSA.

A novel oxazole-containing tetraene compound, JBIR-159, produced by heterologous expression of the cryptic trans-AT type polyketide synthase biosynthetic gene cluster

Using genome mining approach, we identified a novel biosynthetic gene cluster containing trans-AT type PKS genes from Streptomyces versipellis 4083-SVS6. A bacterial artificial chromosome (BAC) clone, pKU503JL68_PN1_P10-C12, accommodating the entire biosynthetic gene cluster was obtained from a BAC library. Heterologous expression of the biosynthetic gene cluster in Streptomyces lividans TK23 led to the production of a novel polyene compound, JBIR-159. We report herein the biosynthetic gene cluster for JBIR-159, and the heterologous expression, isolation, structure determination and a brief biological activity.

Identification, cloning and heterologous expression of biosynthetic gene cluster for desertomycin

From our in-house microbial genome database of secondary metabolite producers, we identified a candidate biosynthetic gene cluster for desertomycin from Streptomyces nobilis JCM4274. We report herein the cloning of the 127-kb entire gene cluster for desertomycin biosynthesis using bacterial artificial chromosome vector. The entire biosynthetic gene cluster for desertomycin was introduced in the heterologous host, Streptomyces lividans TK23, with an average yield of more than 130 mg l^-1.

Guided by evolution: from biology oriented synthesis to pseudo natural products

This review provides an overview and historical context to two concepts for the design of natural product-inspired compound libraries and highlights the used synthetic methodologies.

The larvicidal activity of natural inspired piperine-based dienehydrazides against Culex pipiens

A series of piperine-based dienehydrazide derivatives were designed and synthesized to be used as insecticides against Culex pipiens. The chemical structure of compound 5n was confirmed by single-crystal x-ray diffraction. Their insecticidal activities of synthesized compounds were tested against third-instar larval of Cx. pipiens at concentrations ranging from 0.1 to 1.2 mg/mL. Among all derivatives, compounds 5a, 5b, 5f, 5g, 5m, 5n, 5o, 5p, and 5u displayed good activities. The final mortality rates at the concentration of 0.75 mg/mL after 48 h treatment, were found to be in the range from 80.00 to 83.33% and with LC₅₀ values ranging from 0.221 to 0.094 mg/mL. These compounds demonstrated higher insecticidal activities than piperine and Deltamethrin (a commercial positive control). Molecular modelling reveals several molecular interactions between synthesized compounds and the substrate binding sits of acetylcholinesterase (AChE) that are predicted to be responsible for its binding and inhibition activity. .

Natural products discovery and potential for new antibiotics

Microbial natural products have been one of the most important sources for the discovery of potential new antibiotics. However, the decline in the number of new chemical scaffolds discovered and the rediscovery problem of old known molecules has become a limitation for discovery programs developed by an industry confronted by a lack of incentives and a broken economic model. In contrast, the emergence of multidrug resistance in key pathogens has continued to progress and this issue is compounded by a lack of new antibiotics in development to address most of the difficult to treat infections. Advances in genome mining have confirmed the richness of biosynthetic gene clusters (BGCs) in the majority of microbial sources, and this suggests that an untapped chemical diversity is waiting to be discovered. The development of new genome engineering and synthetic biology tools, and the implementation of comparative omic approaches is fostering the development of new integrated culture-based strategies and genomic-driven approaches aimed at delivering new chemical classes of antibiotics.

Controlling an organic synthesis robot with machine learning to search for new reactivity

The discovery of chemical reactions is an inherently unpredictable and time-consuming process¹. An attractive alternative is to predict reactivity, although relevant approaches, such as computer-aided reaction design, are still in their infancy². Reaction prediction based on high-level quantum chemical methods is complex³, even for simple molecules. Although machine learning is powerful for data analysis^4,5, its applications in chemistry are still being developed⁶. Inspired by strategies based on chemists' intuition⁷, we propose that a reaction system controlled by a machine learning algorithm may be able to explore the space of chemical reactions quickly, especially if trained by an expert⁸. Here we present an organic synthesis robot that can perform chemical reactions and analysis faster than they can be performed manually, as well as predict the reactivity of possible reagent combinations after conducting a small number of experiments, thus effectively navigating chemical reaction space. By using machine learning for decision making, enabled by binary encoding of the chemical inputs, the reactions can be assessed in real time using nuclear magnetic resonance and infrared spectroscopy. The machine learning system was able to predict the reactivity of about 1,000 reaction combinations with accuracy greater than 80 per cent after considering the outcomes of slightly over 10 per cent of the dataset. This approach was also used to calculate the reactivity of published datasets. Further, by using real-time data from our robot, these predictions were followed up manually by a chemist, leading to the discovery of four reactions.

Collection, Culturing, and Genome Analyses of Tropical Marine Filamentous Benthic Cyanobacteria

Decreasing sequencing costs has sparked widespread investigation of the use of microbial genomics to accelerate the discovery and development of natural products for therapeutic uses. Tropical marine filamentous cyanobacteria have historically produced many structurally novel natural products, and therefore present an excellent opportunity for the systematic discovery of new metabolites via the information derived from genomics and molecular genetics. Adequate knowledge transfer and institutional know-how are important to maintain the capability for studying filamentous cyanobacteria due to their unusual microbial morphology and characteristics. Here, we describe workflows, procedures, and commentary on sample collection, cultivation, genomic DNA generation, bioinformatics tools, and biosynthetic pathway analysis concerning filamentous cyanobacteria.

The Molecular Industrial Revolution: Automated Synthesis of Small Molecules

Today we are poised for a transition from the highly customized crafting of specific molecular targets by hand to the increasingly general and automated assembly of different types of molecules with the push of a button. Creating machines that are capable of making many different types of small molecules on demand, akin to that which has been achieved on the macroscale with 3D printers, is challenging. Yet important progress is being made toward this objective with two complementary approaches: 1) Automation of customized synthesis routes to different targets by machines that enable the use of many reactions and starting materials, and 2) automation of generalized platforms that make many different targets using common coupling chemistry and building blocks. Continued progress in these directions has the potential to shift the bottleneck in molecular innovation from synthesis to imagination, and thereby help drive a new industrial revolution on the molecular scale.

Neothioviridamide, a Polythioamide Compound Produced by Heterologous Expression of a Streptomyces sp. Cryptic RiPP Biosynthetic Gene Cluster

During genome mining for thioviridamide-like biosynthetic gene clusters that could produce polythioamide RiPP (ribosomally synthesized and post-translationally modified peptides), we discovered a novel cryptic biosynthetic gene cluster. During efforts to express this biosynthetic gene using heterologous expression of this biosynthetic gene cluster, a novel compound designated as neothioviridamide was produced. We report herein the cloning and heterologous expression of the neothioviridamide biosynthetic gene cluster and the isolation, structure determination, and cytotoxic activity of neothioviridamide.

Toward Generalization of Iterative Small Molecule Synthesis

Small molecules have extensive untapped potential to benefit society, but access to this potential is too often restricted by limitations inherent to the customized approach currently used to synthesize this class of chemical matter. In contrast, the "building block approach", i.e., generalized iterative assembly of interchangeable parts, has now proven to be a highly efficient and flexible way to construct things ranging all the way from skyscrapers to macromolecules to artificial intelligence algorithms. The structural redundancy found in many small molecules suggests that they possess a similar capacity for generalized building block-based construction. It is also encouraging that many customized iterative synthesis methods have been developed that improve access to specific classes of small molecules. There has also been substantial recent progress toward the iterative assembly of many different types of small molecules, including complex natural products, pharmaceuticals, biological probes, and materials, using common building blocks and coupling chemistry. Collectively, these advances suggest that a generalized building block approach for small molecule synthesis may be within reach.