Development of platforms for functional characterization and production of phenazines using a multi-chassis approach via CRAGE

Phenazines (Phzs), a family of chemicals with a phenazine backbone, are secondary metabolites with diverse properties such as antibacterial, anti-fungal, or anticancer activity. The core derivatives of phenazine, phenazine-1-carboxylic acid (PCA) and phenazine-1,6-dicarboxylic acid (PDC), are themselves precursors for various other derivatives. Recent advances in genome mining tools have enabled researchers to identify many biosynthetic gene clusters (BGCs) that might produce novel Phzs. To characterize the function of these BGCs efficiently, we performed modular construct assembly and subsequent multi-chassis heterologous expression using chassis-independent recombinase-assisted genome engineering (CRAGE). CRAGE allowed rapid integration of a PCA BGC into 23 diverse γ-proteobacteria species and allowed us to identify top PCA producers. We then used the top five chassis hosts to express four partially refactored PDC BGCs. A few of these platforms produced high levels of PDC. Specifically, Xenorhabdus doucetiae and Pseudomonas simiae produced PDC at a titer of 293 mg/L and 373 mg/L, respectively, in minimal media. These titers are significantly higher than those previously reported. Furthermore, selectivity toward PDC production over PCA production was improved by up to 9-fold. The results show that these strains are promising chassis for production of PCA, PDC, and their derivatives, as well as for function characterization of Phz BGCs identified via bioinformatics mining.     

Multiplexed site-specific genome engineering for overproducing bioactive secondary metabolites in actinomycetes

Actinomycetes produce a large variety of pharmaceutically active compounds, yet production titers often require to be improved for discovery, development and large-scale manufacturing. Here, we describe a new technique, multiplexed site-specific genome engineering (MSGE) via the ‘one integrase-multiple attB sites’ concept, for the stable integration of secondary metabolite biosynthetic gene clusters (BGCs). Using MSGE, we achieved five-copy chromosomal integration of the pristinamycin II (PII) BGC in Streptomyces pristinaespiralis, resulting in the highest reported PII titers in flask and batch fermentations (2.2 and 2 g/L, respectively). Furthermore, MSGE was successfully extended to develop a panel of powerful Streptomyces coelicolor heterologous hosts, in which up to four copies of the BGCs for chloramphenicol or anti-tumour compound YM-216391 were efficiently integrated in a single step, leading to significantly elevated productivity (2–23 times). Our multiplexed approach holds great potential for robust genome engineering of industrial actinomycetes and novel drug discovery by genome mining.     

珊瑚来源真菌Parengyodontium album SCSIO SX7W11中聚酮化合物的发现及其生物合成途径分析

海洋来源真菌的天然产物因其独特的结构与生物学活性而备受关注,而利用基因组信息对其代谢产物进行深入挖掘也成为研究策略之一。[目的] 本文以一株南海珊瑚来源的真菌Parengyodontium album SCSIO SX7W11为目标菌株,挖掘其生产聚酮类化合物的潜能。[方法] 本研究利用Illumina Miseq技术对SX7W11菌株进行全基因组扫描测序,运用生物信息学手段对其基因组的生物合成基因簇进行预测和基因功能注释,挖掘可能产生新颖聚酮化合物的基因簇。对SX7W11进行放大发酵后,利用正相色谱、中压反相色谱、Sephadex LH-20凝胶色谱、HPLC半制备等分离手段分离纯化出单体化合物。再利用高分辨质谱（HR-ESI-MS）、¹H NMR、¹³C NMR、X-ray单晶衍射等波谱手段确定化合物的结构,并根据生物合成基因簇对化合物的生物合成途径进行推导。[结果] 全基因组扫描测序结果显示,P.album SCSIO SX7W11基因组大小为34.0 Mb,含有24个生物合成基因簇,包括6个聚酮合酶基因簇以及3个萜烯合酶基因簇。从发酵产物中分离鉴定到3个聚酮类化合物：emodin（1）、alternaphenol B（2）和sydowinin A（3）,其中化合物3获得了单晶结构数据。通过生物信息学方法从菌株基因组中定位到了sydowinin A的生物合成基因簇。结合文献对emodin（1）、alternaphenol B（2）和sydowinin A（3）的生物合成途径进行了分析。[结论] 本研究通过基因组挖掘及培养基优化,发现1株珊瑚来源的真菌P.album SCSIO SX7W11具有生产sydowinins类聚酮类化合物的能力,为该类化合物生物合成机制深入研究奠定了基础。     

Post-translational modifications drive secondary metabolite biosynthesis in Aspergillus: a review

Post-translational modifications (PTMs) are important for protein function and regulate multiple cellular processes and secondary metabolites (SMs) in fungi. Aspergillus species belong to a genus renown for an abundance of bioactive secondary metabolites, many important as toxins, pharmaceuticals and in industrial production. The genes required for secondary metabolites are typically co-localized in biosynthetic gene clusters (BGCs), which often localize in heterochromatic regions of genome and are ‘turned off’ under laboratory condition. Efforts have been made to ‘turn on’ these BGCs by genetic manipulation of histone modifications, which could convert the heterochromatic structure to euchromatin. Additionally, non-histone PTMs also play critical roles in the regulation of secondary metabolism. In this review, we collate the known roles of epigenetic and PTMs on Aspergillus SM production. We also summarize the proteomics approaches and bioinformatics tools for PTM identification and prediction and provide future perspectives on the emerging roles of PTM on regulation of SM biosynthesis in Aspergillus and other fungi.     

基于基因组挖掘的农抗120活性成分制霉菌素和丰加霉素的发现和鉴定

【目的】分析刺孢吸水链霉菌北京变种(农抗120产生菌)基因组和次级代谢产物组分,研究并鉴定农抗120产生菌中未被发现的活性组分。【方法】利用antiSMASH在线分析农抗120产生菌Streptomyces hygrospinosusvar.beijingensis基因组信息,锁定可能的制霉菌素和丰加霉素生物合成基因簇。利用HPLC和LC-MS等分析方法对农抗120产生菌发酵产物进行分析,同时利用制霉菌素和丰加霉素标准品作为对照,以鉴定该菌株代谢组分中的次级代谢产物。此外,通过构建目标基因簇大片段缺失突变株,并对所得突变株发酵产物进行检测,以确定生物合成基因簇与目的代谢产物的对应关系。【结果】本研究综合利用基因组序列分析、基因缺失突变株构建以及代谢产物检测方法,鉴定了农抗120产生菌中制霉菌素和丰加霉素两种活性成分,并确定了负责这些化合物合成的基因簇。【结论】本研究所构建的多重基因簇失活突变株为挖掘刺孢吸水链霉菌北京变种更多的天然次级代谢产物奠定了基础。     

On top of biosynthetic gene clusters: How epigenetic machinery influences secondary metabolism in fungi

Fungi produce an abundance of bioactive secondary metabolites which can be utilized as antibiotics and pharmaceutical drugs. The genes encoding secondary metabolites are contiguously arranged in biosynthetic gene clusters (BGCs), which supports co-regulation of all genes required for any one metabolite. However, an ongoing challenge to harvest this fungal wealth is the finding that many of the BGCs are ‘silent’ in laboratory settings and lie in heterochromatic regions of the genome. Successful approaches allowing access to these regions - in essence converting the heterochromatin covering BGCs to euchromatin - include use of epigenetic stimulants and genetic manipulation of histone modifying proteins. This review provides a comprehensive look at the chromatin remodeling proteins which have been shown to regulate secondary metabolism, the use of chemical inhibitors used to induce BGCs, and provides future perspectives on expansion of epigenetic tools and concepts to mine the fungal metabolome.     

Interdependent evolution of biosynthetic gene clusters for momilactone production in rice

Plants can contain biosynthetic gene clusters (BGCs) that nominally resemble those found in microbes. However, while horizontal gene transmission is often observed in microbes, plants are limited to vertical gene transmission, implying that their BGCs may exhibit distinct inheritance patterns. Rice (Oryza sativa) contains two unlinked BGCs involved in diterpenoid phytoalexin metabolism, with one clearly required for momilactone biosynthesis, while the other is associated with production of phytocassanes. Here, in the process of elucidating momilactone biosynthesis, genetic evidence was found demonstrating a role for a cytochrome P450 (CYP) from the other “phytocassane” BGC. This CYP76M8 acts after the CYP99A2/3 from the “momilactone” BGC, producing a hemiacetal intermediate that is oxidized to the eponymous lactone by a short-chain alcohol dehydrogenase also from this BGC. Thus, the “momilactone” BGC is not only incomplete, but also fractured by the need for CYP76M8 to act in between steps catalyzed by enzymes from this BGC. Moreover, as supported by similar activity observed with orthologs from the momilactone-producing wild-rice species Oryza punctata, the presence of CYP76M8 in the other “phytocassane” BGC indicates interdependent evolution of these two BGCs, highlighting the distinct nature of BGC assembly in plants.

Investigation of momilactone production in rice demonstrates roles for two unlinked biosynthetic clusters, requiring interdependent evolution and highlighting the distinct nature of their assembly.     

Output ordering and prioritisation system (OOPS): ranking biosynthetic gene clusters to enhance bioactive metabolite discovery

The rapid increase of publicly available microbial genome sequences has highlighted the presence of hundreds of thousands of biosynthetic gene clusters (BGCs) encoding valuable secondary metabolites. The experimental characterization of new BGCs is extremely laborious and struggles to keep pace with the in silico identification of potential BGCs. Therefore, the prioritisation of promising candidates among computationally predicted BGCs represents a pressing need. Here, we propose an output ordering and prioritisation system (OOPS) which helps sorting identified BGCs by a wide variety of custom-weighted biological and biochemical criteria in a flexible and user-friendly interface. OOPS facilitates a judicious prioritisation of BGCs using G+C content, coding sequence length, gene number, cluster self-similarity and codon bias parameters, as well as enabling the user to rank BGCs based upon BGC type, novelty, and taxonomic distribution. Effective prioritisation of BGCs will help to reduce experimental attrition rates and improve the breadth of bioactive metabolites characterized.     

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.     

Genome-based cryptic gene discovery and functional identification of NRPS siderophore peptide in Streptomyces peucetius

Identification of secondary metabolites produced by cryptic gene in bacteria may be difficult, but in the case of nonribosomal peptide (NRP)-type secondary metabolites, this study can be facilitated by bioinformatic analysis of the biosynthetic gene cluster and tandem mass spectrometry analysis. To illustrate this concept, we used mass spectrometry-guided bioinformatic analysis of genomic sequences to identify an NRP-type secondary metabolite from Streptomyces peucetius ATCC 27952. Five putative NRPS biosynthetic gene clusters were identified in the S. peucetius genome by DNA sequence analysis. Of these, the sp970 gene cluster encoded a complete NRPS domain structure, viz., C-A-T-C-A-T-E-C-A-T-C-A-T-C domains. Tandem mass spectrometry revealed that the functional siderophore peptide produced by this cluster had a molecular weight of 644.4 Da. Further analysis demonstrated that the siderophore peptide has a cyclic structure and an amino acid composition of AchfOrn–Arg–hOrn–hfOrn. The discovery of functional cryptic genes by analysis of the secretome, especially of NRP-type secondary metabolites, using mass spectrometry together with genome mining may contribute significantly to the development of pharmaceuticals such as hybrid antibiotics.     

Molecular dynamics and simulation analysis against superoxide dismutase (SOD) target of Micrococcus luteus with secondary metabolites from Bacillus licheniformis recognized by genome mining approach

Micrococcus luteus, also known as M. luteus, is a bacterium that inhabits mucous membranes, human skin, and various environmental sources. It is commonly linked to infections, especially among individuals who have compromised immune systems. M. luteus is capable of synthesizing the enzyme superoxide dismutase (SOD) as a component of its protective response to reactive oxygen species (ROS). This enzyme serves as a promising target for drug development in various diseases. The current study utilized a subtractive genomics approach to identify potential therapeutic targets from M. luteus. Additionally, genome mining was employed to identify and characterize the biosynthetic gene clusters (BGCs) responsible for the production of secondary metabolites in Bacillus licheniformis (B. licheniformis), a bacterium known for its production of therapeutically relevant secondary metabolites. Subtractive genomics resulted in identification of important extracellular protein SOD as a drug target that plays a crucial role in shielding cells from damage caused by ROS. Genome mining resulted in identification of five potential ligands (secondary metabolites) from B. licheniformis such as, Bacillibactin (BAC), Paenibactin (PAE), Fengycin (FEN), Surfactin (SUR) and Lichenysin (LIC). Molecular docking was used to predict and analyze the binding interactions between these five ligands and target protein SOD. The resulting protein–ligand complexes were further analyzed for their motions and interactions of atoms and molecules over 250 ns using molecular dynamics (MD) simulation analysis. The analysis of MD simulations suggests, Bacillibactin as the probable candidate to arrest the activities of SOD. All the five compounds reported in this study were found to act by directly/indirectly interacting with ROS molecules, such as superoxide radicals (O₂–) and hydrogen peroxide (H₂O₂), and transforming them into less reactive species. This antioxidant activity contributes to its protective effects against oxidative stress-induced damage in cells making them likely candidate for various applications, including in the development of antioxidant-based therapies, nutraceuticals, and functional foods.     

Protocols for RecET-based markerless gene knockout and integration to express heterologous biosynthetic gene clusters in Pseudomonas putida

Pseudomonas putida has emerged as a promising host for the production of chemicals and materials thanks to its metabolic versatility and cellular robustness. In particular, P. putida KT2440 has been officially classified as a generally recognized as safe (GRAS) strain, which makes it suitable for the production of compounds that humans directly consume, including secondary metabolites of high importance. Although various tools and strategies have been developed to facilitate metabolic engineering of P. putida, modification of large genes/clusters essential for heterologous expression of natural products with large biosynthetic gene clusters (BGCs) has not been straightforward. Recently, we reported a RecET-based markerless recombineering system for engineering P. putida and demonstrated deletion of multiple regions as large as 101.7 kb throughout the chromosome by single rounds of recombineering. In addition, development of a donor plasmid system allowed successful markerless integration of heterologous BGCs to P. putida chromosome using the recombineering system with examples of – but not limited to – integrating multiple heterologous BGCs as large as 7.4 kb to the chromosome of P. putida KT2440. In response to the increasing interest in our markerless recombineering system, here we provide detailed protocols for markerless gene knockout and integration for the genome engineering of P. putida and related species of high industrial importance.     

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.     

Biosynthetic potential of uncultured Antarctic soil bacteria revealed through long-read metagenomic sequencing

The growing problem of antibiotic resistance has led to the exploration of uncultured bacteria as potential sources of new antimicrobials. PCR amplicon analyses and short-read sequencing studies of samples from different environments have reported evidence of high biosynthetic gene cluster (BGC) diversity in metagenomes, indicating their potential for producing novel and useful compounds. However, recovering full-length BGC sequences from uncultivated bacteria remains a challenge due to the technological restraints of short-read sequencing, thus making assessment of BGC diversity difficult. Here, long-read sequencing and genome mining were used to recover >1400 mostly full-length BGCs that demonstrate the rich diversity of BGCs from uncultivated lineages present in soil from Mars Oasis, Antarctica. A large number of highly divergent BGCs were not only found in the phyla Acidobacteriota, Verrucomicrobiota and Gemmatimonadota but also in the actinobacterial classes Acidimicrobiia and Thermoleophilia and the gammaproteobacterial order UBA7966. The latter furthermore contained a potential novel family of RiPPs. Our findings underline the biosynthetic potential of underexplored phyla as well as unexplored lineages within seemingly well-studied producer phyla. They also showcase long-read metagenomic sequencing as a promising way to access the untapped genetic reservoir of specialised metabolite gene clusters of the uncultured majority of microbes.Subject terms: Metagenomics, Antibiotics, Microbial ecology, DNA sequencing     

The Streptomyces leeuwenhoekii genome: de novo sequencing and assembly in single contigs of the chromosome,circular plasmid pSLE1 and linear plasmid pSLE2

Background

Next Generation DNA Sequencing (NGS) and genome mining of actinomycetes and other microorganisms is currently one of the most promising strategies for the discovery of novel bioactive natural products, potentially revealing novel chemistry and enzymology involved in their biosynthesis. This approach also allows rapid insights into the biosynthetic potential of microorganisms isolated from unexploited habitats and ecosystems, which in many cases may prove difficult to culture and manipulate in the laboratory. Streptomyces leeuwenhoekii (formerly Streptomyces sp. strain C34) was isolated from the hyper-arid high-altitude Atacama Desert in Chile and shown to produce novel polyketide antibiotics.

Results

Here we present the de novo sequencing of the S. leeuwenhoekii linear chromosome (8 Mb) and two extrachromosomal replicons, the circular pSLE1 (86 kb) and the linear pSLE2 (132 kb), all in single contigs, obtained by combining Pacific Biosciences SMRT (PacBio) and Illumina MiSeq technologies. We identified the biosynthetic gene clusters for chaxamycin, chaxalactin, hygromycin A and desferrioxamine E, metabolites all previously shown to be produced by this strain (J Nat Prod, 2011, 74:1965) and an additional 31 putative gene clusters for specialised metabolites. As well as gene clusters for polyketides and non-ribosomal peptides, we also identified three gene clusters encoding novel lasso-peptides.

Conclusions

The S. leeuwenhoekii genome contains 35 gene clusters apparently encoding the biosynthesis of specialised metabolites, most of them completely novel and uncharacterised. This project has served to evaluate the current state of NGS for efficient and effective genome mining of high GC actinomycetes. The PacBio technology now permits the assembly of actinomycete replicons into single contigs with >99 % accuracy. The assembled Illumina sequence permitted not only the correction of omissions found in GC homopolymers in the PacBio assembly (exacerbated by the high GC content of actinomycete DNA) but it also allowed us to obtain the sequences of the termini of the chromosome and of a linear plasmid that were not assembled by PacBio. We propose an experimental pipeline that uses the Illumina assembled contigs, in addition to just the reads, to complement the current limitations of the PacBio sequencing technology and assembly software.

Electronic supplementary material

The online version of this article (doi:10.1186/s12864-015-1652-8) contains supplementary material, which is available to authorized users.     

Establishment of recombineering genome editing system in Paraburkholderia megapolitana empowers activation of silent biosynthetic gene clusters

The Burkholderiales are an emerging source of bioactive natural products. Their genomes contain a large number of cryptic biosynthetic gene clusters (BGCs), indicating great potential for novel structures. However, the lack of genetic tools for the most of Burkholderiales strains restricts the mining of these cryptic BGCs. We previously discovered novel phage recombinases Redαβ7029 from Burkholderiales strain DSM 7029 that could help in efficiently editing several Burkholderiales genomes and established the recombineering genome editing system in Burkholderialse species. Herein, we report the application of this phage recombinase system in another species Paraburkholderia megapolitana DSM 23488, resulting in activation of two silent non-ribosomal peptide synthetase/polyketide synthase BGCs. A novel class of lipopeptide, haereomegapolitanin, was identified through spectroscopic characterization. Haereomegapolitanin A represents an unusual threonine-tagged lipopeptide which is longer than the predicted NRPS assembly line. This recombineering-mediated genome editing system shows great potential for genetic manipulation of more Burkholderiales species to activate silent BGCs for bioactive metabolites discovery.     

Genome mining of the Streptomyces avermitilis genome and development of genome-minimized hosts for heterologous expression of biosynthetic gene clusters

To date, several actinomycete genomes have been completed and annotated. Among them, Streptomyces microorganisms are of major pharmaceutical interest because they are a rich source of numerous secondary metabolites. S. avermitilis is an industrial microorganism used for the production of an anthelmintic agent, avermectin, which is a commercially important antiparasitic agent in human and veterinary medicine, and agricultural pesticides. Genome analysis of S. avermitilis provides significant information for not only industrial applications but also understanding the features of this genus. On genome mining of S. avermitilis, the microorganism has been found to harbor at least 38 secondary metabolic gene clusters and 46 insertion sequence (IS)-like sequences on the genome, which have not been searched so far. A significant use of the genome data of Streptomyces microorganisms is the construction of a versatile host for heterologous expression of exogenous biosynthetic gene clusters by genetic engineering. Since S. avermitilis is used as an industrial microorganism, the microorganism is already optimized for the efficient supply of primary metabolic precursors and biochemical energy to support multistep biosynthesis. The feasibility of large-deletion mutants of S. avermitilis has been confirmed by heterologous expression of more than 20 exogenous biosynthetic gene clusters.     

东乡野生稻内生放线菌Streptomyces sp. PRh5的全基因组测序及序列分析

【目的】Streptomyces sp. PRh5是从东乡野生稻(Oryza rufipogon Griff.)中分离获得的一株对细菌和真菌都具有较强抗菌活性的内生放线菌。为深入研究PRh5菌株抗菌机制及挖掘次级代谢产物基因资源,有必要解析PRh5菌株的基因组序列信息。【方法】采用高通量测序技术对PRh5菌株进行全基因组测序,然后使用相关软件对测序数据进行基因组组装、基因预测与功能注释、直系同源簇(COG)聚类分析、共线性分析及次级代谢产物合成基因簇预测等。【结果】基因组组装获得290 contigs,整个基因组大小约11.1 Mb,GC含量为71.1%,序列已提交至GenBank数据库,登录号为JABQ00000000。同时,预测得到50个次级代谢产物合成基因簇。【结论】将为Streptomyces sp. PRh5的功能基因组学研究及相关次级代谢产物的生物合成途径与异源表达研究提供基础。