scholarly journals Discovery of Cyanobacterial Natural Products Containing Fatty Acid Residues

2020 ◽  
Author(s):  
Sandra A. C. Figueiredo ◽  
Marco Preto ◽  
Gabriela Moreira ◽  
Teresa P. Martins ◽  
Kathleen Abt ◽  
...  
Keyword(s):  
Natural Products ◽  
Fatty Acid ◽  
Isotope Labeling ◽  
Gene Clusters ◽  
New Drugs ◽  
Beta Oxidation ◽  
Bacterial Genomes ◽  
Biosynthetic Gene Clusters ◽  
Apparent Lack ◽  
Massive Sequencing

Natural products have an important role in several human activities, most notably as sources of new drugs. In recent years, massive sequencing and annotation of bacterial genomes has revealed an unexpectedly large number of secondary metabolite biosynthetic gene clusters whose products are yet to be discovered. For example, cyanobacterial genomes contain a large number of gene clusters that likely incorporate fatty acid-derived moieties, but for most cases we lack the knowledge and tools to effectively predict or detect the encoded natural products. Here, we exploit the apparent lack of a functional beta-oxidation pathway in cyanobacteria to achieve efficient stable-isotope labeling of their fatty acid-derived lipidome. We show that supplementation of cyanobacterial cultures with deuterated fatty acids can be used to easily detect natural product signatures in individual strains. The utility of this strategy is demonstrated in two cultured cyanobacteria by uncovering analogues of the multidrug-resistance reverting hapalosin, and novel, cytotoxic, lactylate-nocuolin A hybrids – the nocuolactylates.

scholarly journals Discovery of Cyanobacterial Natural Products Containing Fatty Acid Residues

2020 ◽  
Author(s):  
Sandra A. C. Figueiredo ◽  
Marco Preto ◽  
Gabriela Moreira ◽  
Teresa P. Martins ◽  
Kathleen Abt ◽  
...  
Keyword(s):  
Natural Products ◽  
Fatty Acid ◽  
Isotope Labeling ◽  
Gene Clusters ◽  
New Drugs ◽  
Beta Oxidation ◽  
Bacterial Genomes ◽  
Biosynthetic Gene Clusters ◽  
Apparent Lack ◽  
Massive Sequencing

Natural products have an important role in several human activities, most notably as sources of new drugs. In recent years, massive sequencing and annotation of bacterial genomes has revealed an unexpectedly large number of secondary metabolite biosynthetic gene clusters whose products are yet to be discovered. For example, cyanobacterial genomes contain a large number of gene clusters that likely incorporate fatty acid-derived moieties, but for most cases we lack the knowledge and tools to effectively predict or detect the encoded natural products. Here, we exploit the apparent lack of a functional beta-oxidation pathway in cyanobacteria to achieve efficient stable-isotope labeling of their fatty acid-derived lipidome. We show that supplementation of cyanobacterial cultures with deuterated fatty acids can be used to easily detect natural product signatures in individual strains. The utility of this strategy is demonstrated in two cultured cyanobacteria by uncovering analogues of the multidrug-resistance reverting hapalosin, and novel, cytotoxic, lactylate-nocuolin A hybrids – the nocuolactylates.

scholarly journals Discovery of Cyanobacterial Natural Products Containing Fatty Acid Residues

2020 ◽  
Author(s):  
Sandra A. C. Figueiredo ◽  
Marco Preto ◽  
Gabriela Moreira ◽  
Teresa P. Martins ◽  
Kathleen Abt ◽  
...  
Keyword(s):  
Natural Products ◽  
Fatty Acid ◽  
Isotope Labeling ◽  
Gene Clusters ◽  
New Drugs ◽  
Beta Oxidation ◽  
Bacterial Genomes ◽  
Biosynthetic Gene Clusters ◽  
Apparent Lack ◽  
Massive Sequencing

Natural products have an important role in several human activities, most notably as sources of new drugs. In recent years, massive sequencing and annotation of bacterial genomes has revealed an unexpectedly large number of secondary metabolite biosynthetic gene clusters whose products are yet to be discovered. For example, cyanobacterial genomes contain a large number of gene clusters that likely incorporate fatty acid-derived moieties, but for most cases we lack the knowledge and tools to effectively predict or detect the encoded natural products. Here, we exploit the apparent lack of a functional beta-oxidation pathway in cyanobacteria to achieve efficient stable-isotope labeling of their fatty acid-derived lipidome. We show that supplementation of cyanobacterial cultures with deuterated fatty acids can be used to easily detect natural product signatures in individual strains. The utility of this strategy is demonstrated in two cultured cyanobacteria by uncovering analogues of the multidrug-resistance reverting hapalosin, and novel, cytotoxic, lactylate-nocuolin A hybrids – the nocuolactylates.

scholarly journals Recapitulation of the evolution of biosynthetic gene clusters reveals hidden chemical diversity on bacterial genomes

2015 ◽  
Author(s):  
Pablo Cruz-Morales ◽  
Christian E. Martínez-Guerrero ◽  
Marco A. Morales-Escalante ◽  
Luis Yáñez-Guerra ◽  
Johannes Florian Kopp ◽  
...  
Keyword(s):  
Natural Products ◽  
Chemical Space ◽  
Streptomyces Coelicolor ◽  
Genome Mining ◽  
Gene Clusters ◽  
Biosynthetic Gene Cluster ◽  
Chemical Diversity ◽  
Biosynthetic Gene ◽  
Bacterial Genomes ◽  
Biosynthetic Gene Clusters

AbstractNatural products have provided humans with antibiotics for millennia. However, a decline in the pace of chemical discovery exerts pressure on human health as antibiotic resistance spreads. The empirical nature of current genome mining approaches used for natural products research limits the chemical space that is explored. By integration of evolutionary concepts related to emergence of metabolism, we have gained fundamental insights that are translated into an alternative genome mining approach, termed EvoMining. As the founding assumption of EvoMining is the evolution of enzymes, we solved two milestone problems revealing unprecedented conversions. First, we report the biosynthetic gene cluster of the ‘orphan’ metabolite leupeptin in Streptomyces roseus. Second, we discover an enzyme involved in formation of an arsenic-carbon bond in Streptomyces coelicolor and Streptomyces lividans. This work provides evidence that bacterial chemical repertoire is underexploited, as well as an approach to accelerate the discovery of novel antibiotics from bacterial genomes.

scholarly journals Nerpa: A Tool for Discovering Biosynthetic Gene Clusters of Bacterial Nonribosomal Peptides

Metabolites ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. 693
Author(s):  
Olga Kunyavskaya ◽  
Azat M. Tagirdzhanov ◽  
Andrés Mauricio Caraballo-Rodríguez ◽  
Louis-Félix Nothias ◽  
Pieter C. Dorrestein ◽  
...  
Keyword(s):  
Natural Products ◽  
Anticancer Agents ◽  
Gene Clusters ◽  
Molecular Structures ◽  
Computational Method ◽  
Nonribosomal Peptides ◽  
Biosynthetic Gene ◽  
Bacterial Genomes ◽  
Biosynthetic Gene Clusters ◽  
Microbial Natural Products

Microbial natural products are a major source of bioactive compounds for drug discovery. Among these molecules, nonribosomal peptides (NRPs) represent a diverse class of natural products that include antibiotics, immunosuppressants, and anticancer agents. Recent breakthroughs in natural product discovery have revealed the chemical structure of several thousand NRPs. However, biosynthetic gene clusters (BGCs) encoding them are known only for a few hundred compounds. Here, we developed Nerpa, a computational method for the high-throughput discovery of novel BGCs responsible for producing known NRPs. After searching 13,399 representative bacterial genomes from the RefSeq repository against 8368 known NRPs, Nerpa linked 117 BGCs to their products. We further experimentally validated the predicted BGC of ngercheumicin from Photobacterium galatheae via mass spectrometry. Nerpa supports searching new genomes against thousands of known NRP structures, and novel molecular structures against tens of thousands of bacterial genomes. The availability of these tools can enhance our understanding of NRP synthesis and the function of their biosynthetic enzymes.

Expanding the Natural Products Heterologous Expression Repertoire in the Model Cyanobacterium Anabaena sp. Strain PCC 7120: Production of Pendolmycin and Teleocidin B-4

2019 ◽  
Author(s):  
Patrick Videau ◽  
Kaitlyn Wells ◽  
Arun Singh ◽  
Jessie Eiting ◽  
Philip Proteau ◽  
...  
Keyword(s):  
Natural Products ◽  
Genome Mining ◽  
Gene Clusters ◽  
Combinatorial Biosynthesis ◽  
Test Case ◽  
Biosynthetic Gene ◽  
Biosynthetic Gene Clusters ◽  
Cyanobacterium Anabaena ◽  
Anabaena Sp ◽  
Pcc 7120

Cyanobacteria are prolific producers of natural products and genome mining has shown that many orphan biosynthetic gene clusters can be found in sequenced cyanobacterial genomes. New tools and methodologies are required to investigate these biosynthetic gene clusters and here we present the use of <i>Anabaena </i>sp. strain PCC 7120 as a host for combinatorial biosynthesis of natural products using the indolactam natural products (lyngbyatoxin A, pendolmycin, and teleocidin B-4) as a test case. We were able to successfully produce all three compounds using codon optimized genes from Actinobacteria. We also introduce a new plasmid backbone based on the native <i>Anabaena</i>7120 plasmid pCC7120ζ and show that production of teleocidin B-4 can be accomplished using a two-plasmid system, which can be introduced by co-conjugation.

scholarly journals Comprehensive curation and analysis of fungal biosynthetic gene clusters of published natural products

2016 ◽  
Vol 89 ◽  
pp. 18-28 ◽  
Author(s):  
Yong Fuga Li ◽  
Kathleen J.S. Tsai ◽  
Colin J.B. Harvey ◽  
James Jian Li ◽  
Beatrice E. Ary ◽  
...  
Keyword(s):  
Natural Products ◽  
Gene Clusters ◽  
Biosynthetic Gene ◽  
Biosynthetic Gene Clusters

scholarly journals Phytoplankton trigger the production of cryptic metabolites in the marine actinobacteria Salinispora tropica

2020 ◽  
Author(s):  
Audam Chhun ◽  
Despoina Sousoni ◽  
Maria del Mar Aguiló-Ferretjans ◽  
Lijiang Song ◽  
Christophe Corre ◽  
...  
Keyword(s):  
Natural Products ◽  
Secondary Metabolites ◽  
Antibiotic Production ◽  
Antimicrobial Effect ◽  
Gene Clusters ◽  
Biosynthetic Gene ◽  
Biosynthetic Gene Clusters ◽  
Marine Actinobacteria ◽  
Salinispora Tropica ◽  
Eukaryotic Phytoplankton

AbstractBacteria from the Actinomycete family 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 actinobacteria Salinispora tropica, for instance, produces valuable compounds such as the anti-cancer molecule salinosporamide A but half of its putative BGCs are still orphan. Although previous studies have looked into using marine heterotrophs to induce orphan BGCs in Salinispora, the potential impact of co-culturing marine phototrophs with Salinispora has yet to be investigated. Following the observation of clear antimicrobial phenotype of the actinobacterium on a range of phytoplanktonic organisms, we here report the discovery of novel cryptic secondary metabolites produced by S. tropica in response to its co-culture with photosynthetic primary producers. An approach combining metabolomics and proteomics revealed that the photosynthate released by phytoplankton influences the biosynthetic capacities of S. tropica with both production of new molecules and the activation of orphan BGCs. Our work pioneers the use of phototrophs as a promising strategy to accelerate the discovery of novel natural products from actinobacteria.ImportanceThe alarming increase of antimicrobial resistance has generated an enormous interest in the discovery of novel active compounds. The isolation of new microbes to untap novel natural products is currently hampered because most biosynthetic gene clusters (BGC) encoded by these microorganisms are not expressed under standard laboratory conditions, i.e. mono-cultures. Here we show that co-culturing can be an easy way for triggering silent BGC. By combining state-of-the-art metabolomics and high-throughput proteomics, we characterized the activation of cryptic metabolites and silent biosynthetic gene clusters in the marine actinobacteria Salinispora tropica by the presence of phytoplankton photosynthate. We further suggest a mechanistic understanding of the antimicrobial effect this actinobacterium has on a broad range of prokaryotic and eukaryotic phytoplankton species and reveal a promising candidate for antibiotic production.

scholarly journals Succession of physiological stages hallmarks the transcriptomic response of fungus Aspergillus niger to lignocellulose

2019 ◽  
Author(s):  
Jolanda M. van Munster ◽  
Paul Daly ◽  
Martin J. Blythe ◽  
Roger Ibbett ◽  
Matt Kokolski ◽  
...  
Keyword(s):  
Fatty Acid ◽  
Wheat Straw ◽  
Hydrolytic Enzymes ◽  
Life Time ◽  
Gene Clusters ◽  
Biofuel Production ◽  
Beta Oxidation ◽  
Transcriptomic Response ◽  
Initial Exposure ◽  
Fatty Acid Beta Oxidation

AbstractBackgroundUnderstanding how fungi degrade lignocellulose is a cornerstone of improving renewables-based biotechnology, in particular for the production of hydrolytic enzymes. Considerable progress has been made in investigating fungal degradation during time-points where CAZyme expression peaks. However, a robust understanding of the fungal survival strategies over its life time on lignocellulose is thereby missed. Here we aimed to uncover the physiological responses of the biotechnological workhorse and enzyme producer Aspergilllus niger over its life time to six substrates important for biofuel production.ResultsWe analysed the response of A. niger to the feedstock Miscanthus and compared it with our previous study on wheat straw, alone or in combination with hydrothermal or ionic liquid feedstock pretreatments. Conserved (substrate-independent) metabolic responses as well as those affected by pretreatment and feedstock were identified via multivariate analysis of genome-wide transcriptomics combined with targeted transcript and protein analyses and mapping to a metabolic model. Initial exposure to all substrates increased fatty acid beta-oxidation and lipid metabolism transcripts. In a strain carrying a deletion of the ortholog of the Aspergillus nidulans fatty acid beta-oxidation transcriptional regulator farA, there was a reduction in expression of selected lignocellulose degradative CAZyme-encoding genes suggesting that beta-oxidation contributes to adaptation to lignocellulose. Mannan degradation expression was wheat straw feedstock-dependent and pectin degradation was higher on the untreated substrates. In the later life stages, known and novel secondary metabolite gene clusters were activated, which are of high interest due to their potential to synthesize bioactive compounds.ConclusionIn this study, which includes the first transcriptional response of Aspergilli to Miscanthus, we highlighted that life time as well as substrate composition and structure (via variations in pretreatment and feedstock) influence the fungal responses to lignocellulose. We also demonstrated that the fungal response contains physiological stages that are conserved across substrates and are typically found outside of the conditions with high CAZyme expression, as exemplified by the stages that are dominated by lipid and secondary metabolism.

scholarly journals New Approaches to Detect Biosynthetic Gene Clusters in the Environment

Medicines ◽  
2019 ◽  
Vol 6 (1) ◽  
pp. 32 ◽  
Author(s):  
Ray Chen ◽  
Hon Wong ◽  
Brendan Burns
Keyword(s):  
Natural Products ◽  
Secondary Metabolites ◽  
Gene Clusters ◽  
Screening Methods ◽  
Biosynthetic Gene ◽  
Biosynthetic Gene Clusters ◽  
Diverse Range ◽  
Bioinformatic Tools ◽  
Culture Independent ◽  
Traditional Approaches

Microorganisms in the environment can produce a diverse range of secondary metabolites (SM), which are also known as natural products. Bioactive SMs have been crucial in the development of antibiotics and can also act as useful compounds in the biotechnology industry. These natural products are encoded by an extensive range of biosynthetic gene clusters (BGCs). The developments in omics technologies and bioinformatic tools are contributing to a paradigm shift from traditional culturing and screening methods to bioinformatic tools and genomics to uncover BGCs that were previously unknown or transcriptionally silent. Natural product discovery using bioinformatics and omics workflow in the environment has demonstrated an extensive distribution of BGCs in various environments, such as soil, aquatic ecosystems and host microbiome environments. Computational tools provide a feasible and culture-independent route to find new secondary metabolites where traditional approaches cannot. This review will highlight some of the advances in the approaches, primarily bioinformatic, in identifying new BGCs, especially in environments where microorganisms are rarely cultured. This has allowed us to tap into the huge potential of microbial dark matter.

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