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Comparative analysis of the biosynthetic gene clusters and pathways for three structurally related antitumor antibiotics: bleomycin, tallysomycin, and zorbamycin.

ABSTRACT: The biosynthetic gene clusters for the glycopeptide antitumor antibiotics bleomycin (BLM), tallysomycin (TLM), and zorbamycin (ZBM) have been recently cloned and characterized from Streptomyces verticillus ATCC15003, Streptoalloteichus hindustanus E465-94 ATCC31158, and Streptomyces flavoviridis ATCC21892, respectively. The striking similarities and differences among the biosynthetic gene clusters for the three structurally related glycopeptide antitumor antibiotics prompted us to compare and contrast their respective biosynthetic pathways and to investigate various enzymatic elements. The presence of different numbers of isolated nonribosomal peptide synthetase (NRPS) domains in all three clusters does not result in major structural differences of the respective compounds. The seemingly identical domain organization of the NRPS modules responsible for heterocycle formation, on the other hand, is contrasted by the biosynthesis of two different structural entities, bithiazole and thiazolinyl-thiazole, for BLM/TLM and ZBM, respectively. Variations in sugar biosynthesis apparently dictate the glycosylation patterns distinct for each of the BLM, TLM, and ZBM glycopeptide scaffolds. These observations demonstrate nature's ingenuity and flexibility in achieving structural differences and similarities via various mechanisms and will surely inspire combinatorial biosynthesis efforts to expand on natural product structural diversity.

SUBMITTER: Galm U

PROVIDER: S-EPMC3064724 | biostudies-literature | 2011 Mar

REPOSITORIES: biostudies-literature

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Comparative analysis of the biosynthetic gene clusters and pathways for three structurally related antitumor antibiotics: bleomycin, tallysomycin, and zorbamycin.

Galm Ute U Wendt-Pienkowski Evelyn E Wang Liyan L Huang Sheng-Xiong SX Unsin Claudia C Tao Meifeng M Coughlin Jane M JM Shen Ben B

Journal of natural products 20110106 3

The biosynthetic gene clusters for the glycopeptide antitumor antibiotics bleomycin (BLM), tallysomycin (TLM), and zorbamycin (ZBM) have been recently cloned and characterized from Streptomyces verticillus ATCC15003, Streptoalloteichus hindustanus E465-94 ATCC31158, and Streptomyces flavoviridis ATCC21892, respectively. The striking similarities and differences among the biosynthetic gene clusters for the three structurally related glycopeptide antitumor antibiotics prompted us to compare and co ...[more]

PMID: 21210656

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Project description:BackgroundA 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.ResultsThe 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.ConclusionWith 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.

Project description:Recent reviews have reinforced sponge-associated bacteria as a valuable source of structurally diverse secondary metabolites with potent biological properties, which makes these microbial communities promising sources of new drug candidates. However, the overall diversity of secondary metabolite biosynthetic potential present in bacteria is difficult to access due to the fact that the majority of bacteria are not readily cultured in the laboratory. Thus, use of cultivation-independent approaches may allow accessing "silent" and "cryptic" secondary metabolite biosynthetic gene clusters present in bacteria that cannot yet be cultured. In the present study, we investigated the diversity of secondary metabolite biosynthetic gene clusters (BGCs) in metagenomes of bacterial communities associated with three sponge species: Clathria reinwardti, Rhabdastrella globostellata, and Spheciospongia sp. The results reveal that the three metagenomes contain a high number of predicted BGCs, ranging from 282 to 463 BGCs per metagenome. The types of BGCs were diverse and represented 12 different cluster types. Clusters predicted to encode fatty acid synthases and polyketide synthases (PKS) were the most dominant BGC types, followed by clusters encoding synthesis of terpenes and bacteriocins. Based on BGC sequence similarity analysis, 363 gene cluster families (GCFs) were identified. Interestingly, no GCFs were assigned to pathways responsible for the production of known compounds, implying that the clusters detected might be responsible for production of several novel compounds. The KS gene sequences from PKS clusters were used to predict the taxonomic origin of the clusters involved. The KS sequences were related to 12 bacterial phyla with Actinobacteria, Proteobacteria, and Firmicutes as the most predominant. At the genus level, the KSs were most related to those found in the genera Mycolicibacterium, Mycobacterium, Burkholderia, and Streptomyces. Phylogenetic analysis of KS sequences resulted in detection of two known 'sponge-specific' BGCs, i.e., SupA and SwfA, as well as a new 'sponge-specific' cluster related to fatty acid synthesis in the phylum Candidatus Poribacteria and composed only by KS sequences of the three sponge-associated bacterial communities assessed here.

Dataset Information

Comparative analysis of the biosynthetic gene clusters and pathways for three structurally related antitumor antibiotics: bleomycin, tallysomycin, and zorbamycin.

Publications

Comparative analysis of the biosynthetic gene clusters and pathways for three structurally related antitumor antibiotics: bleomycin, tallysomycin, and zorbamycin.

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