scholarly journals Isolation, Genomic and Metabolomic Characterization of Streptomyces tendae VITAKN with Quorum Sensing Inhibitory Activity from Southern India

2020 ◽  
Vol 8 (1) ◽  
pp. 121 ◽  
Author(s):  
Nabila Mohammed Ishaque ◽  
Ilia Burgsdorf ◽  
Jessie James Limlingan Malit ◽  
Subhasish Saha ◽  
Roberta Teta ◽  
...  
Keyword(s):  
Quorum Sensing ◽  
Natural Product ◽  
Chemical Space ◽  
Sequence Similarity ◽  
Gc Content ◽  
Gene Clusters ◽  
Biosynthetic Gene ◽  
Isolation And Characterization ◽  
Streptomyces Tendae

Streptomyces are among the most promising genera in terms of production ability to biosynthesize a variety of bioactive secondary metabolites with pharmaceutical interest. Coinciding with the increase in genomic sequencing of these bacteria, mining of their genomes for biosynthetic gene clusters (BGCs) has become a routine component of natural product discovery. Herein, we describe the isolation and characterization of a Streptomyces tendae VITAKN with quorum sensing inhibitory (QSI) activity that was isolated from southern coastal part of India. The nearly complete genome consists of 8,621,231bp with a GC content of 72.2%. Sequence similarity networks of the BGCs detected from this strain against the Minimum Information about a Biosynthetic Gene Cluster (MIBiG) database and 3365 BGCs predicted by antiSMASH analysis of publicly available complete Streptomyces genomes were generated through the BiG-SCAPE-CORASON platform to evaluate its biosynthetic novelty. Crude extract analysis using high-performance liquid chromatography connected to high resolution tandem mass spectrometry (HPLC-HRMS/MS) and dereplication through the Global Natural Product Social Molecular Networking (GNPS) online workflow resulted in the identification of cyclic dipeptides (2, 5-diketopiperazines, DKPs) in the extract, which are known to possess QSI activity. Our results highlight the potential of genome mining coupled with LC-HRMS/MS and in silico tools (GNPS) as a valid approach for the discovery of novel QSI lead compounds. This study also provides the biosynthetic diversity of BGCs and an assessment of the predicted chemical space yet to be discovered.

scholarly journals Isolation, Genomic and Metabolomic Characterization of Streptomyces tendae VITAKN with Quorum Sensing Inhibitory Activity from Southern India

2019 ◽  
Author(s):  
Nabila Imthiyaz ◽  
Ilia Burgsdorf ◽  
Jessie James Limlingan Malit ◽  
Subhasish Saha ◽  
Roberta Teta ◽  
...  
Keyword(s):  
Quorum Sensing ◽  
Natural Product ◽  
Inhibitory Activity ◽  
Chemical Space ◽  
Sequence Similarity ◽  
Gc Content ◽  
Gene Clusters ◽  
Isolation And Characterization ◽  
Streptomyces Tendae

Streptomyces, being one of the most promising genera due to its ability to synthesize a variety of bioactive secondary metabolites of pharmaceutical interest, here studied in relation to its genomic and metabolomic potential. Coinciding with the increase in sequenced data, mining of bacterial genomes for biosynthetic gene clusters (BGCs) has become a routine component of natural product discovery. Herein, we describe the isolation and characterization of a Streptomyces tendae VITAKN with quorum sensing inhibitory activity (QSI) that was isolated from southern coastal parts of India. The nearly complete genome consists of 8,621,231bp with a GC content of 72.2%. Utilizing the BiG-SCAPE-CORASON platform, a sequence similarity network predicted from this strain was evaluated through sequence similarity analysis with the MIBiG database and existing 3,365 BGCs predicted by antiSMASH analysis of publicly available complete Streptomyces genomes. Crude extract analyzed on LC-HRMS/MS and Global Natural Product Social Molecular Networking (GNPS) online workflow using dereplication resulted in the identification of cyclic dipeptides (2,5-diketopiperazines, DKPs) in the extract, which are known to possess QSI activity. Our results highlight the potential use of genomic mining coupled with LC-HRMS/MS and bionformatic tools (GNPS) as a potent approach for metabolome studies in discovering novel QSI lead compounds. This study also provides the biosynthetic diversity of these BGCs and an assessment of the predicted chemical space yet to be discovered.

scholarly journals New Kendomycin Derivative Isolated from Streptomyces sp. Cl 58-27

Molecules ◽  
2021 ◽  
Vol 26 (22) ◽  
pp. 6834
Author(s):  
Constanze Paulus ◽  
Oleksandr Gromyko ◽  
Andriy Luzhetskyy
Keyword(s):  
Nmr Spectroscopy ◽  
Natural Product ◽  
Gene Clusters ◽  
Biosynthetic Gene Cluster ◽  
Biosynthetic Gene ◽  
Streptomyces Sp ◽  
Bioinformatic Tools ◽  
Isolation And Characterization ◽  
Metabolism Gene

In the course of screening new streptomycete strains, the strain Streptomyces sp. Cl 58-27 caught our attention due to its interesting secondary metabolite production profile. Here, we report the isolation and characterization of an ansamycin natural product that belongs structurally to the already known kendomycins. The structure of the new kendomycin E was elucidated using NMR spectroscopy, and the corresponding biosynthetic gene cluster was identified by sequencing the genome of Streptomyces sp. Cl 58-27 and conducting a detailed analysis of secondary metabolism gene clusters using bioinformatic tools.

scholarly journals Survey of Biosynthetic Gene Clusters from Sequenced Myxobacteria Reveals Unexplored Biosynthetic Potential

2019 ◽  
Vol 7 (6) ◽  
pp. 181 ◽  
Author(s):  
Katherine Gregory ◽  
Laura A. Salvador ◽  
Shukria Akbar ◽  
Barbara I. Adaikpoh ◽  
D. Cole Stevens
Keyword(s):  
Natural Product ◽  
Chemical Space ◽  
Sequence Similarity ◽  
Gene Clusters ◽  
Biologically Active ◽  
Critical Component ◽  
Biosynthetic Gene ◽  
Bacterial Genomes ◽  
Biosynthetic Gene Clusters ◽  
Natural Product Discovery

Coinciding with the increase in sequenced bacteria, mining of bacterial genomes for biosynthetic gene clusters (BGCs) has become a critical component of natural product discovery. The order Myxococcales, a reputable source of biologically active secondary metabolites, spans three suborders which all include natural product producing representatives. Utilizing the BiG-SCAPE-CORASON platform to generate a sequence similarity network that contains 994 BGCs from 36 sequenced myxobacteria deposited in the antiSMASH database, a total of 843 BGCs with lower than 75% similarity scores to characterized clusters within the MIBiG database are presented. This survey provides the biosynthetic diversity of these BGCs and an assessment of the predicted chemical space yet to be discovered. Considering the mere snapshot of myxobacteria included in this analysis, these untapped BGCs exemplify the potential for natural product discovery from myxobacteria.

scholarly journals Discovery of Unusual Cyanobacterial Tryptophan-containing Anabaenopeptins by MS/MS Based Molecular Networking

2020 ◽  
Author(s):  
Subhasish Saha ◽  
Germana Esposito ◽  
Petra Urajova ◽  
Jan Mareš ◽  
Daniela Ewe ◽  
...  
Keyword(s):  
Multidisciplinary Approach ◽  
Spectroscopic Analysis ◽  
Chemical Space ◽  
Genome Mining ◽  
Gc Content ◽  
Gene Clusters ◽  
Biosynthetic Gene ◽  
Biosynthetic Gene Clusters ◽  
Hela Cell Lines ◽  
Bioactive Secondary Metabolites

Heterocytous cyanobacteria are among the most prolific source of bioactive secondary metabolites, including anabaenopeptins (APTs). A terrestrial filamentous Brasilonema sp. CT11 collected in Costa Rica bamboo forest, as black mat was studied using a multidisciplinary approach: genome mining and HPLC-HRMS/MS coupled with bionformatic analyses. Herein, we report the nearly complete genome consisting 8.79 Mbp with a GC content of 42.4%. Moreover, we report on three novel tryptophane-containing APTs; anabaenopeptin 788 (1), anabaenopeptin 802 (2) and anabaenopeptin 816 (3). Further, the structure of two homologues, i.e., anabaenopeptin 802 (2a) and anabaenopeptin 802 (2b) was determined by spectroscopic analysis (NMR and MS). Both compounds were shown to exert weak to moderate antiproliferative activity against HeLa cell lines. This study also provides the unique and diverse potential of biosynthetic gene clusters and an assessment of the predicted chemical space yet to be discovered from this genus.

scholarly journals Discovery of Unusual Cyanobacterial Tryptophan-Containing Anabaenopeptins by MS/MS-Based Molecular Networking

Molecules ◽  
2020 ◽  
Vol 25 (17) ◽  
pp. 3786 ◽  
Author(s):  
Subhasish Saha ◽  
Germana Esposito ◽  
Petra Urajová ◽  
Jan Mareš ◽  
Daniela Ewe ◽  
...  
Keyword(s):  
Multidisciplinary Approach ◽  
Spectroscopic Analysis ◽  
Chemical Space ◽  
Genome Mining ◽  
Gc Content ◽  
Gene Clusters ◽  
Biosynthetic Gene ◽  
Biosynthetic Gene Clusters ◽  
Hela Cell Lines ◽  
Bioactive Secondary Metabolites

Heterocytous cyanobacteria are among the most prolific sources of bioactive secondary metabolites, including anabaenopeptins (APTs). A terrestrial filamentous Brasilonema sp. CT11 collected in Costa Rica bamboo forest as a black mat, was studied using a multidisciplinary approach: genome mining and HPLC-HRMS/MS coupled with bioinformatic analyses. Herein, we report the nearly complete genome consisting of 8.79 Mbp with a GC content of 42.4%. Moreover, we report on three novel tryptophan-containing APTs; anabaenopeptin 788 (1), anabaenopeptin 802 (2), and anabaenopeptin 816 (3). Furthermore, the structure of two homologues, i.e., anabaenopeptin 802 (2a) and anabaenopeptin 802 (2b), was determined by spectroscopic analysis (NMR and MS). Both compounds were shown to exert weak to moderate antiproliferative activity against HeLa cell lines. This study also provides the unique and diverse potential of biosynthetic gene clusters and an assessment of the predicted chemical space yet to be discovered from this genus.

scholarly journals Structure elucidation and biosynthesis of fuscachelins, peptide siderophores from the moderate thermophileThermobifida fusca

2008 ◽  
Vol 105 (40) ◽  
pp. 15311-15316 ◽  
Author(s):  
Eric J. Dimise ◽  
Paul F. Widboom ◽  
Steven D. Bruner
Keyword(s):  
Natural Products ◽  
Natural Product ◽  
Gene Cluster ◽  
Structure Elucidation ◽  
Biochemical Characterization ◽  
Gene Clusters ◽  
Biologically Active ◽  
Biosynthetic Gene ◽  
Nonribosomal Peptide

Bacteria belonging to the order Actinomycetales have proven to be an important source of biologically active and often therapeutically useful natural products. The characterization of orphan biosynthetic gene clusters is an emerging and valuable approach to the discovery of novel small molecules. Analysis of the recently sequenced genome of the thermophilic actinomyceteThermobifida fuscarevealed an orphan nonribosomal peptide biosynthetic gene cluster coding for an unknown siderophore natural product.T. fuscais a model organism for the study of thermostable cellulases and is a major degrader of plant cell walls. Here, we report the isolation and structure elucidation of the fuscachelins, siderophore natural products produced byT. fusca. In addition, we report the purification and biochemical characterization of the termination module of the nonribosomal peptide synthetase. Biochemical analysis of adenylation domain specificity supports the assignment of this gene cluster as the producer of the fuscachelin siderophores. The proposed nonribosomal peptide biosynthetic pathway exhibits several atypical features, including a macrocyclizing thioesterase that produces a 10-membered cyclic depsipeptide and a nonlinear assembly line, resulting in the unique heterodimeric architecture of the siderophore natural product.

scholarly journals Global analysis of adenylate-forming enzymes reveals β-lactone biosynthesis pathway in pathogenic Nocardia

2019 ◽  
Author(s):  
Serina L. Robinson ◽  
Barbara R. Terlouw ◽  
Megan D. Smith ◽  
Sacha J. Pidot ◽  
Tim P. Stinear ◽  
...  
Keyword(s):  
Machine Learning ◽  
Natural Product ◽  
Sequence Similarity ◽  
Global Analysis ◽  
Gene Clusters ◽  
Acid Activation ◽  
Biosynthetic Gene ◽  
Biosynthetic Gene Clusters ◽  
Predictive Tool ◽  
Wide Range

ABSTRACTEnzymes that cleave ATP to activate carboxylic acids play essential roles in primary and secondary metabolism in all domains of life. Class I adenylate-forming enzymes share a conserved structural fold but act on a wide range of substrates to catalyze reactions involved in bioluminescence, nonribosomal peptide biosynthesis, fatty acid activation, and β-lactone formation. Despite their metabolic importance, the substrates and catalytic functions of the vast majority of adenylate-forming enzymes are unknown without tools available to accurately predict them. Given the crucial roles of adenylate-forming enzymes in biosynthesis, this also severely limits our ability to predict natural product structures from biosynthetic gene clusters. Here we used machine learning to predict adenylate-forming enzyme function and substrate specificity from protein sequence. We built a web-based predictive tool and used it to comprehensively map the biochemical diversity of adenylate-forming enzymes across >50,000 candidate biosynthetic gene clusters in bacterial, fungal, and plant genomes. Ancestral enzyme reconstruction and sequence similarity networking revealed a ‘hub’ topology suggesting radial divergence of the adenylate-forming superfamily from a core enzyme scaffold most related to contemporary aryl-CoA ligases. Our classifier also predicted β-lactone synthetases in novel biosynthetic gene clusters conserved across >90 different strains of Nocardia. To test our computational predictions, we purified a candidate β-lactone synthetase from Nocardia brasiliensis and reconstituted the biosynthetic pathway in vitro to link the gene cluster to the β-lactone natural product, nocardiolactone. We anticipate our machine learning approach will aid in functional classification of enzymes and advance natural product discovery.

scholarly journals Complete genome sequences of Streptomyces spp. isolated from disease-suppressive soils

BMC Genomics ◽  
2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Stephen C. Heinsch ◽  
Szu-Yi Hsu ◽  
Lindsey Otto-Hanson ◽  
Linda Kinkel ◽  
Michael J. Smanski
Keyword(s):  
Microbial Communities ◽  
Natural Product ◽  
De Novo ◽  
Sequence Similarity ◽  
Gene Clusters ◽  
Biosynthetic Gene ◽  
Sequencing Data ◽  
Biosynthetic Gene Clusters ◽  
Contig Assembly ◽  
Sample Number

Abstract Background Bacteria within the genus Streptomyces remain a major source of new natural product discovery and as soil inoculants in agriculture where they promote plant growth and protect from disease. Recently, Streptomyces spp. have been implicated as important members of naturally disease-suppressive soils. To shine more light on the ecology and evolution of disease-suppressive microbial communities, we have sequenced the genome of three Streptomyces strains isolated from disease-suppressive soils and compared them to previously sequenced isolates. Strains selected for sequencing had previously showed strong phenotypes in competition or signaling assays. Results Here we present the de novo sequencing of three strains of the genus Streptomyces isolated from disease-suppressive soils to produce high-quality complete genomes. Streptomyces sp. GS93–23, Streptomyces sp. 3211–3, and Streptomyces sp. S3–4 were found to have linear chromosomes of 8.24 Mb, 8.23 Mb, and greater than 7.5 Mb, respectively. In addition, two of the strains were found to have large, linear plasmids. Each strain harbors between 26 and 38 natural product biosynthetic gene clusters, on par with previously sequenced Streptomyces spp. We compared these newly sequenced genomes with those of previously sequenced organisms. We see substantial natural product biosynthetic diversity between closely related strains, with the gain/loss of episomal DNA elements being a primary driver of genome evolution. Conclusions Long read sequencing data facilitates large contig assembly for high-GC Streptomyces genomes. While the sample number is too small for a definitive conclusion, we do not see evidence that disease suppressive soil isolates are particularly privileged in terms of numbers of biosynthetic gene clusters. The strong sequence similarity between GS93–23 and previously isolated Streptomyces lydicus suggests that species recruitment may contribute to the evolution of disease-suppressive microbial communities.

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