Phytoplankton trigger the production of cryptic metabolites in the marine actinobacterium Salinispora tropica

Filamentous members of the phylum Actinobacteria are a remarkable source of natural products with pharmaceutical potential. The discovery of novel molecules from these organisms is, however, hindered because most of the biosynthetic gene clusters (BGCs) encoding these secondary metabolites are cryptic or silent and are referred to as orphan BGCs. While co-culture has proven to be a promising approach to unlock the biosynthetic potential of many microorganisms by activating the expression of these orphan BGCs, it still remains an underexplored technique. The marine actinobacterium Salinispora tropica, for instance, produces valuable compounds such as the anti-cancer molecule salinosporamide but half of its putative BGCs are still orphan. Although previous studies have used marine heterotrophs to induce orphan BGCs in Salinispora, its co-culture with marine phototrophs has yet to be investigated. Following the observation of an antimicrobial activity against a range of phytoplankton by S. tropica, we here report that the photosynthate released by photosynthetic primary producers influences its biosynthetic capacities with production of cryptic molecules and the activation of orphan BGCs. Our work, using an approach combining metabolomics and proteomics, pioneers the use of phototrophs as a promising strategy to accelerate the discovery of novel natural products from marine actinobacteria.     

Natural products: A continuing source of novel drug leads

Background

Nature has been a source of medicinal products for millennia, with many useful drugs developed from plant sources. Following discovery of the penicillins, drug discovery from microbial sources occurred and diving techniques in the 1970s opened the seas. Combinatorial chemistry (late 1980s), shifted the focus of drug discovery efforts from Nature to the laboratory bench.

Scope of Review

This review traces natural products drug discovery, outlining important drugs from natural sources that revolutionized treatment of serious diseases. It is clear Nature will continue to be a major source of new structural leads, and effective drug development depends on multidisciplinary collaborations.

Major Conclusions

The explosion of genetic information led not only to novel screens, but the genetic techniques permitted the implementation of combinatorial biosynthetic technology and genome mining. The knowledge gained has allowed unknown molecules to be identified. These novel bioactive structures can be optimized by using combinatorial chemistry generating new drug candidates for many diseases.

General Significance

The advent of genetic techniques that permitted the isolation / expression of biosynthetic cassettes from microbes may well be the new frontier for natural products lead discovery. It is now apparent that biodiversity may be much greater in those organisms. The numbers of potential species involved in the microbial world are many orders of magnitude greater than those of plants and multi-celled animals. Coupling these numbers to the number of currently unexpressed biosynthetic clusters now identified (> 10 per species) the potential of microbial diversity remains essentially untapped.     

A guide to successful bioprospecting: informed by actinobacterial systematics

New structurally diverse natural products are discovered when novel screening procedures are introduced or when high quality biological materials from new sources are examined in existing screens, hence it is important to foster these two aspects of novelty in drug discovery programmes. Amongst prokaryotes, actinomycetes, notably streptomycetes, remain a rich source of new natural products though it has become increasingly difficult to find such metabolites from common actinomycetes as screening ‘old friends’ leads to the costly rediscovery of known compounds. The bioprospecting strategy which is the subject of this review is based upon the premise that new secondary metabolites can be found by screening relatively small numbers of dereplicated, novel actinomycetes isolated from marine sediments. The success of the strategy is exemplified by the discovery of a range of novel bioactive compounds, notably atrop-abyssomicin C and proximicins A, B and C from Verrucosispora strains isolated from sediment samples taken from the Sea of Japan and the Raune Fjord, respectively, and the dermacozines derived from Dermacoccus strains isolated from the Challenger Deep of the Mariana Trench in the Pacific Ocean. The importance of current advances in prokaryotic systematics in work of this nature is stressed and a plea made that resources be sought to train, support and employ the next generation of actinobacterial systematists.     

海洋来源节菱孢菌ZSDS1-F3中PKS-NRPS类天然产物挖掘

【目的】以基因组信息为指导,定向激活海洋来源真菌Arthrinium arundinisZSDS1-F3中沉默的聚酮合成酶-非核糖体肽合成酶(PKS-NRPS)类生物合成基因簇,鉴定次级代谢产物结构。【方法】通过启动子工程和异源表达的策略激活实验室培养条件下沉默或低表达的生物合成基因簇,实现目标化合物的分离,通过HR-ESI-MS和NMR数据分析鉴定产物结构,结合基因重组和生物信息学分析结果推导化合物的生物合成途径。【结果】依据基因组生物信息学分析,从海洋来源真菌A. arundinis ZSDS1-F3中选取一个编码PKS-NRPS类次级代谢产物的生物合成基因簇开展研究,在宿主Aspergillus nidulansA1145中实现了基因簇的异源表达,从中分离到2个新化合物,并推导了其生物合成途径。【结论】基因组信息指导下的天然产物挖掘,可以目标明确地分离产物,加快真菌中新颖天然产物的发现步伐。     

Biochemical synthesis of uniformly 13C-labeled diterpene hydrocarbons and their bioconversion to diterpenoid phytoalexins in planta

Phytocassanes and momilactones are the major diterpenoid phytoalexins inductively produced in rice as bioactive substances. Regardless of extensive studies on the biosynthetic pathways of these phytoalexins, bioconversion of diterpene hydrocarbons is not shown in planta. To elucidate the entire biosynthetic pathways of these phytoalexins, uniformly ¹³C-labeled ent-cassadiene and syn-pimaradiene were enzymatically synthesized with structural verification by GC–MS and ¹³C-NMR. Application of the ¹³C-labeled substrates on rice leaves led to the detection of ¹³C-labeled metabolites using LC-MS/MS. Further application of this method in the moss Hypnum plumaeforme and the nearest out-group of Oryza species Leersia perrieri, respectively, resulted in successful bioconversion of these labeled substrates into phytoalexins in these plants. These results demonstrate that genuine biosynthetic pathways from these diterpene hydrocarbons to the end product phytoalexins occur in these plants and that enzymatically synthesized [U-¹³C₂₀] diterpene substrates are a powerful tool for chasing endogenous metabolites without dilution with naturally abundant unlabeled compounds.     

Nature’s combinatorial biosynthesis and recently engineered production of nucleoside antibiotics in <Emphasis Type="Italic">Streptomyces</Emphasis>

Modified nucleosides produced by Streptomyces and related actinomycetes are widely used in agriculture and medicine as antibacterial, antifungal, anticancer and antiviral agents. These specialized small-molecule metabolites are biosynthesized by complex enzymatic machineries encoded within gene clusters in the genome. The past decade has witnessed a burst of reports defining the key metabolic processes involved in the biosynthesis of several distinct families of nucleoside antibiotics. Furthermore, genome sequencing of various Streptomyces species has dramatically increased over recent years. Potential biosynthetic gene clusters for novel nucleoside antibiotics are now apparent by analysis of these genomes. Here we revisit strategies for production improvement of nucleoside antibiotics that have defined mechanisms of action, and are in clinical or agricultural use. We summarize the progress for genetically manipulating biosynthetic pathways for structural diversification of nucleoside antibiotics. Microorganism-based biosynthetic examples are provided and organized under genetic principles and metabolic engineering guidelines. We show perspectives on the future of combinatorial biosynthesis, and present a working model for discovery of novel nucleoside natural products in Streptomyces.     

Towards Prediction of Metabolic Products of Polyketide Synthases: An In Silico Analysis

Sequence data arising from an increasing number of partial and complete genome projects is revealing the presence of the polyketide synthase (PKS) family of genes not only in microbes and fungi but also in plants and other eukaryotes. PKSs are huge multifunctional megasynthases that use a variety of biosynthetic paradigms to generate enormously diverse arrays of polyketide products that posses several pharmaceutically important properties. The remarkable conservation of these gene clusters across organisms offers abundant scope for obtaining novel insights into PKS biosynthetic code by computational analysis. We have carried out a comprehensive in silico analysis of modular and iterative gene clusters to test whether chemical structures of the secondary metabolites can be predicted from PKS protein sequences. Here, we report the success of our method and demonstrate the feasibility of deciphering the putative metabolic products of uncharacterized PKS clusters found in newly sequenced genomes. Profile Hidden Markov Model analysis has revealed distinct sequence features that can distinguish modular PKS proteins from their iterative counterparts. For iterative PKS proteins, structural models of iterative ketosynthase (KS) domains have revealed novel correlations between the size of the polyketide products and volume of the active site pocket. Furthermore, we have identified key residues in the substrate binding pocket that control the number of chain extensions in iterative PKSs. For modular PKS proteins, we describe for the first time an automated method based on crucial intermolecular contacts that can distinguish the correct biosynthetic order of substrate channeling from a large number of non-cognate combinatorial possibilities. Taken together, our in silico analysis provides valuable clues for formulating rules for predicting polyketide products of iterative as well as modular PKS clusters. These results have promising potential for discovery of novel natural products by genome mining and rational design of novel natural products.     

藤黄生孢链霉菌NRRL 2401遗传操作系统和基因文库的构建北大核心CSCD

【目的】建立藤黄生孢链霉菌NRRL 2401的遗传操作系统和基因文库,以便筛选次级代谢产物生物合成基因。【方法】利用大肠杆菌和链霉菌的属间接合转移的方法,以整合型载体pPM927、pSET152和复制型载体pJTU1278构建链霉菌遗传操作系统。以pCClFOS^(TM)载体,大肠杆菌EP1300^(TM)-T1~R为宿主菌构建Fosmid文库。随后,设计引物,利用"板池-行池-单克隆"的三级PCR方法对文库进行快速筛选。【结果】pPM927、pSET152和pJTU1278均成功转入藤黄生孢链霉菌NRRL 2401,其中pSET152载体的转化效率最高。构建了稳定高效的藤黄生孢链霉菌NRRL 2401的基因文库,含2880个克隆,平均插入片段大小约为35 kb,空载率小于1%,文库覆盖率为99.99%,覆盖基因组16.5倍。同时,初步筛选出可能含有吲哚霉素生物合成基因簇的9个阳性克隆。【结论】成功构建了稳定高效的藤黄生孢链霉菌NRRL 2401遗传操作系统和高质量的基因文库,为克隆该菌中次级代谢产物生物合成基因簇以及进一步遗传改造奠定了基础。     

Function of MbtH homologs in nonribosomal peptide biosynthesis and applications in secondary metabolite discovery

Mycobacterium tuberculosis encodes mycobactin, a peptide siderophore that is biosynthesized by a nonribosomal peptide synthetase (NRPS) mechanism. Within the mycobactin biosynthetic gene cluster is a gene that encodes a 71-amino-acid protein MbtH. Many other NRPS gene clusters harbor mbtH homologs, and recent genetic, biochemical, and structural studies have begun to shed light on the function(s) of these proteins. In some cases, MbtH-like proteins are required for biosynthesis of their cognate peptides, and non-cognate MbtH-like proteins have been shown to be partially complementary. Biochemical studies revealed that certain MbtH-like proteins participate in tight binding to NRPS proteins containing adenylation (A) domains where they stimulate adenylation reactions. Expression of MbtH-like proteins is important for a number of applications, including optimal production of native and genetically engineered secondary metabolites produced by mechanisms that employ NRPS enzymes. They also may serve as beacons to identify gifted actinomycetes and possibly other bacteria that encode multiple functional NRPS pathways for discovery of novel secondary metabolites by genome mining.     

Heterologous expression system in <Emphasis Type="Italic">Aspergillus oryzae</Emphasis> for fungal biosynthetic gene clusters of secondary metabolites

Fungal secondary metabolites have been considered promising resources in the search for novel bioactive compounds. Given the high potential of fungi as genetic resources, it is essential to find an efficient way to link biosynthetic genes to the product in a heterologous system, because many genes for the secondary metabolite in the original strain are silent under standard laboratory conditions. In a previous study, we constructed a heterologous expression system for a biosynthetic gene cluster using Aspergillus oryzae as the host. To make the host more versatile for the expression of secondary metabolism genes, the expression levels of a global regulator, laeA, were increased by placing the A. oryzae laeA gene under the control of the constitutive active pgk promoter. In the A. oryzae overexpressing laeA, two clusters of heterologous biosynthetic genes [the monacolin K (MK) gene cluster from Monascus pilosus and the terrequinone A (TQ) gene cluster from Aspergillus nidulans] were successfully overexpressed, resulting in the production of the corresponding metabolite, MK or TQ. The successful production of secondary metabolites belonging to different structural groups, namely MK as a polyketide and TQ as a hybrid of amino acid and isoprenoid, indicated that the laeA-enriched A. oryzae was a versatile host for the heterologous expression of the biosynthetic gene cluster.     

Nonribosomal peptides in fungal cell factories: from genome mining to optimized heterologous production

Fungi are notoriously prolific producers of secondary metabolites including nonribosomal peptides (NRPs). The structural complexity of NRPs grants them interesting activities such as antibiotic, anti-cancer, and anti-inflammatory properties. The discovery of these compounds with attractive activities can be achieved by using two approaches: either by screening samples originating from various environments for their biological activities, or by identifying the related clusters in genomic sequences thanks to bioinformatics tools. This genome mining approach has grown tremendously due to recent advances in genome sequencing, which have provided an incredible amount of genomic data from hundreds of microbial species. Regarding fungal organisms, the genomic data have revealed the presence of an unexpected number of putative NRP-related gene clusters. This highlights fungi as a goldmine for the discovery of putative novel bioactive compounds. Recent development of NRP dedicated bioinformatics tools have increased the capacity to identify these gene clusters and to deduce NRPs structures, speeding-up the screening process for novel metabolites discovery. Unfortunately, the newly identified compound is frequently not or poorly produced by native producers due to a lack of expression of the related genes cluster. A frequently employed strategy to increase production rates consists in transferring the related biosynthetic pathway in heterologous hosts. This review aims to provide a comprehensive overview about the topic of NRPs discovery, from gene cluster identification by genome mining to the heterologous production in fungal hosts. The main computational tools and methods for genome mining are herein presented with an emphasis on the particularities of the fungal systems. The different steps of the reconstitution of NRP biosynthetic pathway in heterologous fungal cell factories will be discussed, as well as the key factors to consider for maximizing productivity. Several examples will be developed to illustrate the potential of heterologous production to both discover uncharacterized novel compounds predicted in silico by genome mining, and to enhance the productivity of interesting bio-active natural products.     

Exploitation of the Streptomyces coelicolor A3(2) genome sequence for discovery of new natural products and biosynthetic pathways

Streptomyces, and related genera of Actinobacteria, are renowned for their ability to produce antibiotics and other bioactive natural products with a wide range of applications in medicine and agriculture. Streptomyces coelicolor A3(2) is a model organism that has been used for more than five decades to study the genetic and biochemical basis for the production of bioactive metabolites. In 2002, the complete genome sequence of S. coelicolor was published. This greatly accelerated progress in understanding the biosynthesis of metabolites known or suspected to be produced by S. coelicolor and revealed that streptomycetes have far greater potential to produce bioactive natural products than suggested by classical bioassay-guided isolation studies. In this article, efforts to exploit the S. coelicolor genome sequence for the discovery of novel natural products and biosynthetic pathways are summarized.     

Climate-specific biosynthetic gene clusters in populations of a lichen-forming fungus

Natural products can contribute to abiotic stress tolerance in plants and fungi. We hypothesize that biosynthetic gene clusters (BGCs), the genomic elements that underlie natural product biosynthesis, display structured differences along elevation gradients. We analysed biosynthetic gene variation in natural populations of the lichen-forming fungus Umbilicaria pustulata. We collected a total of 600 individuals from the Mediterranean and cold-temperate climates. Population genomic analyses indicate that U. pustulata contains three clusters that are highly differentiated between the Mediterranean and cold-temperate populations. One entire cluster is exclusively present in cold-temperate populations, and a second cluster is putatively dysfunctional in all cold-temperate populations. In the third cluster variation is fixed in all cold-temperate populations due to hitchhiking. In these two clusters the presence of consistent allele frequency differences among replicate populations/gradients suggests that selection rather than drift is driving the pattern. We advocate that the landscape of fungal biosynthetic genes is shaped by both positive and hitchhiking selection. We demonstrate, for the first time, the presence of climate-associated BGCs and BGC variations in lichen-forming fungi. While the associated secondary metabolites of the candidate clusters are presently unknown, our study paves the way for targeted discovery of natural products with ecological significance.     

Metabolic diversification of nitrogen‐containing metabolites by the expression of a heterologous lysine decarboxylase gene in Arabidopsis

Lysine decarboxylase converts l ‐lysine to cadaverine as a branching point for the biosynthesis of plant Lys‐derived alkaloids. Although cadaverine contributes towards the biosynthesis of Lys‐derived alkaloids, its catabolism, including metabolic intermediates and the enzymes involved, is not known. Here, we generated transgenic Arabidopsis lines by expressing an exogenous lysine/ornithine decarboxylase gene from Lupinus angustifolius (La‐L/ODC) and identified cadaverine‐derived metabolites as the products of the emerged biosynthetic pathway. Through untargeted metabolic profiling, we observed the upregulation of polyamine metabolism, phenylpropanoid biosynthesis and the biosynthesis of several Lys‐derived alkaloids in the transgenic lines. Moreover, we found several cadaverine‐derived metabolites specifically detected in the transgenic lines compared with the non‐transformed control. Among these, three specific metabolites were identified and confirmed as 5‐aminopentanal, 5‐aminopentanoate and δ‐valerolactam. Cadaverine catabolism in a representative transgenic line (DC29) was traced by feeding stable isotope‐labeled [α‐¹⁵N]‐ or [ε‐¹⁵N]‐l ‐lysine. Our results show similar ¹⁵N incorporation ratios from both isotopomers for the specific metabolite features identified, indicating that these metabolites were synthesized via the symmetric structure of cadaverine. We propose biosynthetic pathways for the metabolites on the basis of metabolite chemistry and enzymes known or identified through catalyzing specific biochemical reactions in this study. Our study shows that this pool of enzymes with promiscuous activities is the driving force for metabolite diversification in plants. Thus, this study not only provides valuable information for understanding the catabolic mechanism of cadaverine but also demonstrates that cadaverine accumulation is one of the factors to expand plant chemodiversity, which may lead to the emergence of Lys‐derived alkaloid biosynthesis.     

Streptomyces associated with a marine sponge Haliclona sp.; biosynthetic genes for secondary metabolites and products

Terrestrial actinobacteria have served as a primary source of bioactive compounds; however, a rapid decrease in the discovery of new compounds strongly necessitates new investigational approaches. One approach is the screening of actinobacteria from marine habitats, especially the members of the genus Streptomyces. Presence of this genus in a marine sponge, Haliclona sp., was investigated using culture‐dependent and ‐independent techniques. 16S rRNA gene clone library analysis showed the presence of diverse Streptomyces in the sponge sample. In addition to the dominant genus Streptomyces, members of six different genera were isolated using four different media. Five phylogenetically new strains, each representing a novel species in the genus Streptomyces were also isolated. Polyphasic study suggesting the classification of two of these strains as novel species is presented. Searching the strains for the production of novel compounds and the presence of biosynthetic genes for secondary metabolites revealed seven novel compounds and biosynthetic genes with unique sequences. In these compounds, JBIR‐43 exhibited cytotoxic activity against cancer cell lines. JBIR‐34 and ‐35 were particularly interesting because of their unique chemical skeleton. To our knowledge, this is the first comprehensive study detailing the isolation of actinobacteria from a marine sponge and novel secondary metabolites from these strains.     

Underestimated biodiversity as a major explanation for the perceived rich secondary metabolite capacity of the cyanobacterial genus Lyngbya

Marine cyanobacteria are prolific producers of bioactive secondary metabolites responsible for harmful algal blooms as well as rich sources of promising biomedical lead compounds. The current study focused on obtaining a clearer understanding of the remarkable chemical richness of the cyanobacterial genus Lyngbya. Specimens of Lyngbya from various environmental habitats around Curaçao were analysed for their capacity to produce secondary metabolites by genetic screening of their biosynthetic pathways. The presence of biosynthetic pathways was compared with the production of corresponding metabolites by LC‐ESI‐MS² and MALDI‐TOF‐MS. The comparison of biosynthetic capacity and actual metabolite production revealed no evidence of genetic silencing in response to environmental conditions. On a cellular level, the metabolic origin of the detected metabolites was pinpointed to the cyanobacteria, rather than the sheath‐associated heterotrophic bacteria, by MALDI‐TOF‐MS and multiple displacement amplification of single cells. Finally, the traditional morphology‐based taxonomic identifications of these Lyngbya populations were combined with their phylogenetic relationships. As a result, polyphyly of morphologically similar cyanobacteria was identified as the major explanation for the perceived chemical richness of the genus Lyngbya, a result which further underscores the need to revise the taxonomy of this group of biomedically important cyanobacteria.     

Strategies for identifying new prions in yeast

The unexpected discovery of two prions, [URE3] and [PSI⁺], in Saccharomyces cerevisiae led to questions about how many other proteins could undergo similar prion-based structural conversions. However, [URE3] and [PSI⁺] were discovered by serendipity in genetic screens. Cataloging the full range of prions in yeast or in other organisms will therefore require more systematic search methods. Taking advantage of some of the unique features of prions, various researchers have developed bioinformatic and experimental methods for identifying novel prion proteins. These methods have generated long lists of prion candidates. The systematic testing of some of these prion candidates has led to notable successes; however, even in yeast, where rapid growth rate and ease of genetic manipulation aid in testing for prion activity, such candidate testing is laborious. Development of better methods to winnow the field of prion candidates will greatly aid in the discovery of new prions, both in yeast and in other organisms, and help us to better understand the role of prions in biology.     

Genome mining of Streptomyces ambofaciens

Since the discovery of the streptomycin produced by Streptomyces griseus in the middle of the last century, members of this bacterial genus have been largely exploited for the production of secondary metabolites with wide uses in medicine and in agriculture. They have even been recognized as one of the most prolific producers of natural products among microorganisms. With the onset of the genomic era, it became evident that these microorganisms still represent a major source for the discovery of novel secondary metabolites. This was highlighted with the complete genome sequencing of Streptomyces coelicolor A3(2) which revealed an unexpected potential of this organism to synthesize natural products undetected until then by classical screening methods. Since then, analysis of sequenced genomes from numerous Streptomyces species has shown that a single species can carry more than 30 secondary metabolite gene clusters, reinforcing the idea that the biosynthetic potential of this bacterial genus is far from being fully exploited. This review highlights our knowledge on the potential of Streptomyces ambofaciens ATCC 23877 to synthesize natural products. This industrial strain was known for decades to only produce the drug spiramycin and another antibacterial compound, congocidine. Mining of its genome allowed the identification of 23 clusters potentially involved in the production of other secondary metabolites. Studies of some of these clusters resulted in the characterization of novel compounds and of previously known compounds but never characterized in this Streptomyces species. In addition, genome mining revealed that secondary metabolite gene clusters of phylogenetically closely related Streptomyces are mainly species-specific.