隐性次级代谢产物生物合成基因簇的激活及天然产物定向发现

传统的"活性-化合物"天然药物发现方法导致大量已知化合物被重复分离,大大加剧了新药发现的难度。规模化基因组测序揭示了微生物基因组中存在大量的隐性(cryptic)次级代谢产物生物合成基因簇,如何激活这些隐性基因簇成为当今世界天然产物研究领域的难点与热点。本文从途径特异性和多效性两个角度综述了隐性生物合成基因簇激活策略;同时,对基因组信息指导下结构导向(structure-guided)的化合物定向分离技术进行了归纳。隐性基因簇的激活为定向发掘具有优良活性的新型天然产物提供了新的契机。     

Synthetic biology and metabolic engineering of actinomycetes for natural product discovery

Actinomycetes are one of the most valuable sources of natural products with industrial and medicinal importance. After more than half a century of exploitation, it has become increasingly challenging to find novel natural products with useful properties as the same known compounds are often repeatedly re-discovered when using traditional approaches. Modern genome mining approaches have led to the discovery of new biosynthetic gene clusters, thus indicating that actinomycetes still harbor a huge unexploited potential to produce novel natural products. In recent years, innovative synthetic biology and metabolic engineering tools have greatly accelerated the discovery of new natural products and the engineering of actinomycetes. In the first part of this review, we outline the successful application of metabolic engineering to optimize natural product production, focusing on the use of multi-omics data, genome-scale metabolic models, rational approaches to balance precursor pools, and the engineering of regulatory genes and regulatory elements. In the second part, we summarize the recent advances of synthetic biology for actinomycetal metabolic engineering including cluster assembly, cloning and expression, CRISPR/Cas9 technologies, and chassis strain development for natural product overproduction and discovery. Finally, we describe new advances in reprogramming biosynthetic pathways through polyketide synthase and non-ribosomal peptide synthetase engineering. These new developments are expected to revitalize discovery and development of new natural products with medicinal and other industrial applications.     

Culture-independent discovery of natural products from soil metagenomes

Bacterial natural products have proven to be invaluable starting points in the development of many currently used therapeutic agents. Unfortunately, traditional culture-based methods for natural product discovery have been deemphasized by pharmaceutical companies due in large part to high rediscovery rates. Culture-independent, or “metagenomic,” methods, which rely on the heterologous expression of DNA extracted directly from environmental samples (eDNA), have the potential to provide access to metabolites encoded by a large fraction of the earth’s microbial biosynthetic diversity. As soil is both ubiquitous and rich in bacterial diversity, it is an appealing starting point for culture-independent natural product discovery efforts. This review provides an overview of the history of soil metagenome-driven natural product discovery studies and elaborates on the recent development of new tools for sequence-based, high-throughput profiling of environmental samples used in discovering novel natural product biosynthetic gene clusters. We conclude with several examples of these new tools being employed to facilitate the recovery of novel secondary metabolite encoding gene clusters from soil metagenomes and the subsequent heterologous expression of these clusters to produce bioactive small molecules.     

基于CRISPR/Cas系统的天然产物生物合成基因簇克隆和编辑技术

合成生物学和基因组测序技术的快速发展使挖掘和高效合成天然产物进入了一个全新的时代。由于多数原始菌株生长缓慢、难以培养及遗传改造困难等问题,导致天然产物生物合成基因簇的激活和高效表达受到严重制约。基于此,将原始菌株来源的基因簇转移到操作简便、遗传背景清晰的模式宿主中进行异源表达成为天然产物发现和产量提高的一种有效手段。其中,基因簇的克隆与编辑是实现天然产物异源表达的一个主要限速步骤。CRISPR/Cas技术的应用极大地提高了大型基因簇克隆和编辑的效率,有效促进了微生物来源新药的发现。本文针对基于CRISPR/Cas开发的基因簇克隆和编辑技术进行了系统梳理和全面总结,探讨相关技术在天然产物挖掘和高效合成中的应用及其重要意义。     

基因簇大片段克隆技术研究进展及挑战

天然产物结构复杂、活性多样,是新药开发的重要来源,对天然产物生物合成途径的研究,有利于探索酶催化的合成机制,促进复杂天然产物的应用。天然产物的生物合成由其对应的基因簇调控,其中大量天然产物生物合成基因簇(biosynthetic gene clusters,BGCs)在野生型菌株中无法表达或表达量低。对这些基因簇的研究,需要进行克隆表达,而如何克隆大片段基因簇并使其表达,从而发现新型天然产物是一个具有挑战性的问题。其中构建基因组文库、转化关联重组(transformation-associated recombination,TAR)、Red/ET重组等是克隆大片段基因簇的重要技术。本文从克隆技术的策略和应用两个方面,总结了这3种克隆技术目前的研究进展,讨论了目前大片段基因簇克隆技术面临的挑战,为研究大片段基因簇提供方法学借鉴。     

Microbial genomics for the improvement of natural product discovery

The quest for the discovery of novel natural products has entered a new chapter with the enormous wealth of genetic data that is now available. This information has been exploited by using whole-genome sequence mining to uncover cryptic pathways, or biosynthetic pathways for previously undetected metabolites. Alternatively, using known paradigms for secondary metabolite biosynthesis, genetic information has been 'fished out' of DNA libraries resulting in the discovery of new natural products and isolation of gene clusters for known metabolites. Novel natural products have been discovered by expressing genetic data from uncultured organisms or difficult-to-manipulate strains in heterologous hosts. Furthermore, improvements in heterologous expression have not only helped to identify gene clusters but have also made it easier to manipulate these genes in order to generate new compounds. Finally, and perhaps the most crucial aspect of the efficient and prosperous use of the abundance of genetic information, novel enzyme chemistry continues to be discovered, which has aided our understanding of how natural products are biosynthesized de novo, and enabled us to rework the current paradigms for natural product biosynthesis.     

Expanding our Understanding of Sequence-Function Relationships of Type II Polyketide Biosynthetic Gene Clusters: Bioinformatics-Guided Identification of Frankiamicin A from Frankia sp. EAN1pec

A large and rapidly increasing number of unstudied “orphan” natural product biosynthetic gene clusters are being uncovered in sequenced microbial genomes. An important goal of modern natural products research is to be able to accurately predict natural product structures and biosynthetic pathways from these gene cluster sequences. This requires both development of bioinformatic methods for global analysis of these gene clusters and experimental characterization of select products produced by gene clusters with divergent sequence characteristics. Here, we conduct global bioinformatic analysis of all available type II polyketide gene cluster sequences and identify a conserved set of gene clusters with unique ketosynthase α/β sequence characteristics in the genomes of Frankia species, a group of Actinobacteria with underexploited natural product biosynthetic potential. Through LC-MS profiling of extracts from several Frankia species grown under various conditions, we identified Frankia sp. EAN1pec as producing a compound with spectral characteristics consistent with the type II polyketide produced by this gene cluster. We isolated the compound, a pentangular polyketide which we named frankiamicin A, and elucidated its structure by NMR and labeled precursor feeding. We also propose biosynthetic and regulatory pathways for frankiamicin A based on comparative genomic analysis and literature precedent, and conduct bioactivity assays of the compound. Our findings provide new information linking this set of Frankia gene clusters with the compound they produce, and our approach has implications for accurate functional prediction of the many other type II polyketide clusters present in bacterial genomes.     

A mass spectrometry-guided genome mining approach for natural product peptidogenomics

Peptide natural products show broad biological properties and are commonly produced by orthogonal ribosomal and nonribosomal pathways in prokaryotes and eukaryotes. To harvest this large and diverse resource of bioactive molecules, we introduce here natural product peptidogenomics (NPP), a new MS-guided genome-mining method that connects the chemotypes of peptide natural products to their biosynthetic gene clusters by iteratively matching de novo tandem MS (MS(n)) structures to genomics-based structures following biosynthetic logic. In this study, we show that NPP enabled the rapid characterization of over ten chemically diverse ribosomal and nonribosomal peptide natural products of previously unidentified composition from Streptomycete bacteria as a proof of concept to begin automating the genome-mining process. We show the identification of lantipeptides, lasso peptides, linardins, formylated peptides and lipopeptides, many of which are from well-characterized model Streptomycetes, highlighting the power of NPP in the discovery of new peptide natural products from even intensely studied organisms.     

Expanded Natural Product Diversity Revealed by Analysis of Lanthipeptide-Like Gene Clusters in Actinobacteria

Lanthionine-containing peptides (lanthipeptides) are a rapidly growing family of polycyclic peptide natural products belonging to the large class of ribosomally synthesized and posttranslationally modified peptides (RiPPs). Lanthipeptides are widely distributed in taxonomically distant species, and their currently known biosynthetic systems and biological activities are diverse. Building on the recent natural product gene cluster family (GCF) project, we report here large-scale analysis of lanthipeptide-like biosynthetic gene clusters from Actinobacteria. Our analysis suggests that lanthipeptide biosynthetic pathways, and by extrapolation the natural products themselves, are much more diverse than currently appreciated and contain many different posttranslational modifications. Furthermore, lanthionine synthetases are much more diverse in sequence and domain topology than currently characterized systems, and they are used by the biosynthetic machineries for natural products other than lanthipeptides. The gene cluster families described here significantly expand the chemical diversity and biosynthetic repertoire of lanthionine-related natural products. Biosynthesis of these novel natural products likely involves unusual and unprecedented biochemistries, as illustrated by several examples discussed in this study. In addition, class IV lanthipeptide gene clusters are shown not to be silent, setting the stage to investigate their biological activities.     

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.     

Genomes to natural products PRediction Informatics for Secondary Metabolomes (PRISM)

Microbial natural products are an invaluable source of evolved bioactive small molecules and pharmaceutical agents. Next-generation and metagenomic sequencing indicates untapped genomic potential, yet high rediscovery rates of known metabolites increasingly frustrate conventional natural product screening programs. New methods to connect biosynthetic gene clusters to novel chemical scaffolds are therefore critical to enable the targeted discovery of genetically encoded natural products. Here, we present PRISM, a computational resource for the identification of biosynthetic gene clusters, prediction of genetically encoded nonribosomal peptides and type I and II polyketides, and bio- and cheminformatic dereplication of known natural products. PRISM implements novel algorithms which render it uniquely capable of predicting type II polyketides, deoxygenated sugars, and starter units, making it a comprehensive genome-guided chemical structure prediction engine. A library of 57 tailoring reactions is leveraged for combinatorial scaffold library generation when multiple potential substrates are consistent with biosynthetic logic. We compare the accuracy of PRISM to existing genomic analysis platforms. PRISM is an open-source, user-friendly web application available at http://magarveylab.ca/prism/.     

Genome neighborhood network reveals insights into enediyne biosynthesis and facilitates prediction and prioritization for discovery

The enediynes are one of the most fascinating families of bacterial natural products given their unprecedented molecular architecture and extraordinary cytotoxicity. Enediynes are rare with only 11 structurally characterized members and four additional members isolated in their cycloaromatized form. Recent advances in DNA sequencing have resulted in an explosion of microbial genomes. A virtual survey of the GenBank and JGI genome databases revealed 87 enediyne biosynthetic gene clusters from 78 bacteria strains, implying that enediynes are more common than previously thought. Here we report the construction and analysis of an enediyne genome neighborhood network (GNN) as a high-throughput approach to analyze secondary metabolite gene clusters. Analysis of the enediyne GNN facilitated rapid gene cluster annotation, revealed genetic trends in enediyne biosynthetic gene clusters resulting in a simple prediction scheme to determine 9- versus 10-membered enediyne gene clusters, and supported a genomic-based strain prioritization method for enediyne discovery.     

后基因组时代微生物天然产物高效发掘体系设计与展望

微生物天然产物具有丰富的化学结构多样性和诱人的生物活性,持续启迪着创新医药和农药的发现。近年来,随着高通量测序技术的快速发展,巨大的微生物基因组数据揭示了多样生物合成和新颖天然产物的潜能远高于以前的认知。然而,如何高效地激活隐性的生物合成基因簇 (BGCs) 并识别相应的化合物,以及避免已知代谢产物的重复发现等挑战依然严峻。本文描述了面对这些问题时基因组学、生物信息学、机器学习、代谢组学、基因编辑和合成生物学等新技术在发现药用先导化合物过程中提供的机遇;总结并论述了在潜力菌株优选、BGCs的生物信息学预测、沉默 BGCs的高效激活以及目标产物的识别和跟踪方面的新见解;提出了基于潜力菌株选择和多组学挖掘技术从微生物天然产物中高效发现先导结构的系统线路 (SPLSD),并讨论了未来天然产物药用先导发现的机遇和挑战。     

Natural products discovery from micro-organisms in the post-genome era†

With the decision to award the Nobel Prize in Physiology or Medicine to Drs. S. ōmura, W.C. Campbell, and Y. Tu, the importance and usefulness of natural drug discovery and development have been revalidated. Since the end of the twentieth century, many genome analyses of organisms have been conducted, and accordingly, numerous microbial genomes have been decoded. In particular, genomic studies of actinomycetes, micro-organisms that readily produce natural products, led to the discovery of biosynthetic gene clusters responsible for producing natural products. New explorations for natural products through a comprehensive approach combining genomic information with conventional methods show great promise for the discovery of new natural products and even systematic generation of unnaturally occurring compounds.     

TNT biotransformation: when chemistry confronts mineralization

The recent increase and availability of whole genome sequences have revised our view of the metabolic capabilities of microorganisms. From these data, a large number of orphan biosynthesis pathways have been identified by bio-informatics. Orphan biosynthetic pathways are gene clusters for which the encoded natural product is unknown. It is worthy to note that the number of orphan pathways coding for putative natural products outnumbers by far the number of currently known metabolites for a given organism. Whilst Streptomyces coelicolor was known to produce only 4 secondary metabolites, the genome analysis revealed 18 additional orphan biosynthetic pathways. It is intriguing to note that this is not a particular case because analysis of other microbial genomes originating from myxobacteria, cyanobacteria and filamentous fungi showed the presence of a comparable or even larger number of orphan pathways. The discovery of these numerous pathways represents a treasure trove, which is likely to grow exponentially in the future, uncovering many novel and possibly bio-active compounds. The few natural products that have been correlated with their orphan pathway are merely the tip of the iceberg, whilst plenty of metabolites await discovery. The recent strategies and methods to access these promising hidden natural products are discussed in this review.     

Secondary metabolism in Fusarium fujikuroi: strategies to unravel the function of biosynthetic pathways

The fungus Fusarium fujikuroi causes bakanae disease of rice due to its ability to produce the plant hormones, the gibberellins. The fungus is also known for producing harmful mycotoxins (e.g., fusaric acid and fusarins) and pigments (e.g., bikaverin and fusarubins). However, for a long time, most of these well-known products could not be linked to biosynthetic gene clusters. Recent genome sequencing has revealed altogether 47 putative gene clusters. Most of them were orphan clusters for which the encoded natural product(s) were unknown. In this review, we describe the current status of our research on identification and functional characterizations of novel secondary metabolite gene clusters. We present several examples where linking known metabolites to the respective biosynthetic genes has been achieved and describe recent strategies and methods to access new natural products, e.g., by genetic manipulation of pathway-specific or global transcritption factors. In addition, we demonstrate that deletion and over-expression of histone-modifying genes is a powerful tool to activate silent gene clusters and to discover their products.

     

链霉菌聚酮类次生代谢产物及其生物合成基因簇

摘要：聚酮类抗生素在工业、农业和医药方面都具有重要的商业价值,至今通过美国FDA认证的聚酮类药物超过40个。随着分子生物学的发展,人们开展了抗生素合成基因簇的研究,并以此为基础发展了组合生物学,形成天然产物化学与分子生物学相结合的跨学科研究领域。本文以链霉菌为对象,对链霉菌产生的聚酮类抗生素的药物应用、聚酮合成酶（PKS）的研究及聚酮类药物的开发策略与前景作了相关介绍。     

真菌天然产物异源生产研究进展

真菌天然产物是天然药物的重要来源之一,大规模真菌基因组序列测序的完成表明真菌具有产生丰富的次级代谢产物的潜能。然而,许多真菌或生长缓慢,或不适宜在实验室条件下培养,或难以进行遗传操作,或化合物产量极低等,这些因素导致大量有价值的真菌天然产物无法获得。利用异源表达系统对真菌天然产物进行生产是发现新天然产物及解析其生物合成途径的有效手段,并为定向的以合成生物学的手段去合成重要活性分子奠定基础。本文对目前用于真菌天然产物生产的各种异源表达系统进行了综述,并结合最新的DNA组装技术展望了异源表达系统在真菌天然产物研究中的应用价值和前景。     

Introduction of New Tools for Chemical Biology Research on Microbial Metabolites

Recently, high-throughput screening (HTS) has become the mainstream technique for drug discovery. Compounds that are synthesized by combinatorial chemistry might be more suitable than natural products to apply to HTS, because the purification procedure is a drawback of using natural products. Nevertheless, natural products remain an extremely important source of drugs. To overcome the demerits of natural products, we are constructing the RIKEN Natural Products Depository (NPDepo) that is focused primarily on microbial metabolites. In this review, I describe (i) engineering pathways for biosynthetic gene clusters of microbial metabolites, (ii) construction of fraction libraries of microbial metabolites, and (iii) the development of a new screening system using a chemical array and a protein library produced by GLORIA.