scholarly journals Genome Mining of Pseudomonas Species: Diversity and Evolution of Metabolic and Biosynthetic Potential

Molecules ◽  
2021 ◽  
Vol 26 (24) ◽  
pp. 7524
Author(s):  
Khorshed Alam ◽  
Md. Mahmudul Islam ◽  
Caiyun Li ◽  
Sharmin Sultana ◽  
Lin Zhong ◽  
...  
Keyword(s):  
Reference Genome ◽  
Genome Mining ◽  
Gene Clusters ◽  
Growth Promoters ◽  
Genome Sequences ◽  
Biosynthetic Gene Clusters ◽  
Genomic Comparison ◽  
Plant Growth Promoters ◽  
Pseudomonas Species ◽  
High Diversity

Microbial genome sequencing has uncovered a myriad of natural products (NPs) that have yet to be explored. Bacteria in the genus Pseudomonas serve as pathogens, plant growth promoters, and therapeutically, industrially, and environmentally important microorganisms. Though most species of Pseudomonas have a large number of NP biosynthetic gene clusters (BGCs) in their genomes, it is difficult to link many of these BGCs with products under current laboratory conditions. In order to gain new insights into the diversity, distribution, and evolution of these BGCs in Pseudomonas for the discovery of unexplored NPs, we applied several bioinformatic programming approaches to characterize BGCs from Pseudomonas reference genome sequences available in public databases along with phylogenetic and genomic comparison. Our research revealed that most BGCs in the genomes of Pseudomonas species have a high diversity for NPs at the species and subspecies levels and built the correlation of species with BGC taxonomic ranges. These data will pave the way for the algorithmic detection of species- and subspecies-specific pathways for NP development.

scholarly journals The Missing Link: Developing a pipeline for accelerated antibiotic discovery from Streptomyces through linking ‘omics data

2020 ◽  
Vol 2 (7A) ◽  
Author(s):  
Darren Scobie ◽  
Grimur Hjorleifsson ◽  
Paul Herron ◽  
Simon Rogers ◽  
Katherine Duncan
Keyword(s):  
Genome Mining ◽  
Gene Clusters ◽  
Biosynthetic Gene ◽  
Genome Sequences ◽  
Biosynthetic Gene Clusters ◽  
Specialized Metabolites ◽  
Chromatography Tandem Mass Spectrometry ◽  
Liquid Chromatography Tandem Mass ◽  
Comparative Metabolomics ◽  
Antibiotic Discovery

The genus Streptomyces has proven to be a rich reservoir of specialized metabolites, accounting for 80% of all microbially produced antibiotics including chloramphenicol and nystatin from S. venezuelae and S. noursei respectively. However, the discovery of novel microbial chemistry is still greatly needed to combat antimicrobial resistance. Comparative metabolomics, using platforms such as Global Natural Products Social Molecular Networking (GNPS), as well as tools such as antiSMASH and BiGSCAPE have aided the mining of biosynthetic gene clusters (BGC’s) across datasets but comparing the chemistry to the encoding biosynthetic gene clusters is a significant bottleneck. In this study, ten Streptomyces strains were selected, based on phylogeny and availability of genome sequence. The strains were cultured on 6 types of Actinomycete-specific media to maximise metabolite diversity. Liquid Chromatography tandem Mass Spectrometry (LC-MS/MS) was used to obtain spectral data from crude metabolite extracts enabling comparative metabolomics analysis via the GNPS platform. As the genome sequences were publicly available, genome mining of BGC’s was achieved using antiSMASH resulting in 260 BGC’s across the ten strains. This revealed 53 gene cluster families when analysed using BiGSCAPE, the largest encoding for 8 metabolites. In future, both biosynthetic (BGC’s) and chemistry (parent ions) datasets will be computationally linked based on strain presence/absence. The development of standardised datasets that enable cross-‘omics comparison will aid prioritisation of novel antibiotics, especially when combined with bioactivity data.

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 Draft Genome Sequences of Fungus Aspergillus calidoustus

2016 ◽  
Vol 4 (2) ◽  
Author(s):  
Fabian Horn ◽  
Jörg Linde ◽  
Derek J. Mattern ◽  
Grit Walther ◽  
Reinhard Guthke ◽  
...  
Keyword(s):  
Secondary Metabolite ◽  
Genome Sequence ◽  
Functional Annotation ◽  
Draft Genome ◽  
Genome Mining ◽  
Gene Clusters ◽  
Draft Genome Sequence ◽  
Genome Sequences

Here, we report the draft genome sequence of Aspergillus calidoustus (strain SF006504) . The functional annotation of A. calidoustus predicts a relatively large number of secondary metabolite gene clusters. The presented genome sequence builds the basis for further genome mining.

scholarly journals Complete Genome Sequences of Five Burkholderia Strains with Biocontrol Activity against Various Lettuce Pathogens

2022 ◽  
Author(s):  
Adrien Biessy ◽  
Marie Ciotola ◽  
Mélanie Cadieux ◽  
Daphné Albert ◽  
Martin Filion
Keyword(s):  
Complete Genome ◽  
Burkholderia Cepacia ◽  
Gene Clusters ◽  
Antimicrobial Compounds ◽  
Bacterial Strains ◽  
Genome Sequences ◽  
Biosynthetic Gene Clusters ◽  
Content Type ◽  
Biocontrol Activity ◽  
Complex Display

Numerous bacterial strains from the Burkholderia cepacia complex display biocontrol activity. Here, we report the complete genome sequences of five Burkholderia strains isolated from soil. Biosynthetic gene clusters responsible for the production of antimicrobial compounds were found in the genome of these strains, which display biocontrol activity against various lettuce pathogens.

scholarly journals Uncovering the unexplored diversity of thioamidated ribosomal peptides in Actinobacteria using the RiPPER genome mining tool

2018 ◽  
Author(s):  
Javier Santos-Aberturas ◽  
Govind Chandra ◽  
Luca Frattaruolo ◽  
Rodney Lacret ◽  
Thu H. Pham ◽  
...  
Keyword(s):  
Genome Mining ◽  
Gene Clusters ◽  
Chemical Diversity ◽  
Bioactive Molecules ◽  
Post Translational Modification ◽  
Biosynthetic Gene Clusters ◽  
New Family ◽  
The Family ◽  
Modified Peptides ◽  
Mining Tool

ABSTRACTThe rational discovery of new specialized metabolites by genome mining represents a very promising strategy in the quest for new bioactive molecules. Ribosomally synthesized and post-translationally modified peptides (RiPPs) are a major class of natural product that derive from genetically encoded precursor peptides. However, RiPP gene clusters are particularly refractory to reliable bioinformatic predictions due to the absence of a common biosynthetic feature across all pathways. Here, we describe RiPPER, a new tool for the family-independent identification of RiPP precursor peptides and apply this methodology to search for novel thioamidated RiPPs in Actinobacteria. Until now, thioamidation was believed to be a rare post-translational modification, which is catalyzed by a pair of proteins (YcaO and TfuA) in Archaea. In Actinobacteria, the thioviridamide-like molecules are a family of cytotoxic RiPPs that feature multiple thioamides, and it has been proposed that a YcaO-TfuA pair of proteins also catalyzes their formation. Potential biosynthetic gene clusters encoding YcaO and TfuA protein pairs are common in Actinobacteria but the chemical diversity generated by these pathways is almost completely unexplored. A RiPPER analysis reveals a highly diverse landscape of precursor peptides encoded in previously undescribed gene clusters that are predicted to make thioamidated RiPPs. To illustrate this strategy, we describe the first rational discovery of a new family of thioamidated natural products, the thiovarsolins from Streptomyces varsoviensis.

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 An Update on Molecular Tools for Genetic Engineering of Actinomycetes—The Source of Important Antibiotics and Other Valuable Compounds

Antibiotics ◽  
2020 ◽  
Vol 9 (8) ◽  
pp. 494
Author(s):  
Lena Mitousis ◽  
Yvonne Thoma ◽  
Ewa M. Musiol-Kroll
Keyword(s):  
Genetic Engineering ◽  
Genome Mining ◽  
Gene Clusters ◽  
Biosynthetic Gene ◽  
Molecular Tools ◽  
Biosynthetic Gene Clusters ◽  
Streptomyces Antibioticus ◽  
The Past ◽  
Bioactive Agents ◽  
Valuable Compounds

The first antibiotic-producing actinomycete (Streptomyces antibioticus) was described by Waksman and Woodruff in 1940. This discovery initiated the “actinomycetes era”, in which several species were identified and demonstrated to be a great source of bioactive compounds. However, the remarkable group of microorganisms and their potential for the production of bioactive agents were only partially exploited. This is caused by the fact that the growth of many actinomycetes cannot be reproduced on artificial media at laboratory conditions. In addition, sequencing, genome mining and bioactivity screening disclosed that numerous biosynthetic gene clusters (BGCs), encoded in actinomycetes genomes are not expressed and thus, the respective potential products remain uncharacterized. Therefore, a lot of effort was put into the development of technologies that facilitate the access to actinomycetes genomes and activation of their biosynthetic pathways. In this review, we mainly focus on molecular tools and methods for genetic engineering of actinomycetes that have emerged in the field in the past five years (2015–2020). In addition, we highlight examples of successful application of the recently developed technologies in genetic engineering of actinomycetes for activation and/or improvement of the biosynthesis of secondary metabolites.

scholarly journals RRE-Finder: a Genome-Mining Tool for Class-Independent RiPP Discovery

mSystems ◽  
2020 ◽  
Vol 5 (5) ◽  
Author(s):  
Alexander M. Kloosterman ◽  
Kyle E. Shelton ◽  
Gilles P. van Wezel ◽  
Marnix H. Medema ◽  
Douglas A. Mitchell
Keyword(s):  
Structure Prediction ◽  
Secondary Structure Prediction ◽  
Genome Mining ◽  
Gene Clusters ◽  
Biosynthetic Gene Clusters ◽  
High Confidence ◽  
Genetic Feature ◽  
Uniprotkb Database ◽  
A Genome ◽  
Mining Tool

Bioinformatics-powered discovery of novel ribosomal natural products (RiPPs) has historically been hindered by the lack of a common genetic feature across RiPP classes. Herein, we introduce RRE-Finder, a method for identifying RRE domains, which are present in a majority of prokaryotic RiPP biosynthetic gene clusters (BGCs). RRE-Finder identifies RRE domains 3,000 times faster than current methods, which rely on time-consuming secondary structure prediction. Depending on user goals, RRE-Finder can operate in precision mode to accurately identify RREs present in known RiPP classes or in exploratory mode to assist with novel RiPP discovery. Employing RRE-Finder on the UniProtKB database revealed several high-confidence RREs in novel RiPP-like clusters, suggesting that many new RiPP classes remain to be discovered.

scholarly journals Genomic Assemblies of Members of Burkholderia and Related Genera as a Resource for Natural Product Discovery

2020 ◽  
Vol 9 (42) ◽  
Author(s):  
Alex J. Mullins ◽  
Cerith Jones ◽  
Matthew J. Bull ◽  
Gordon Webster ◽  
Julian Parkhill ◽  
...  
Keyword(s):  
Natural Product ◽  
Genome Mining ◽  
Genomic Analysis ◽  
Gene Clusters ◽  
Biosynthetic Gene ◽  
Biosynthetic Gene Clusters ◽  
Natural Product Discovery

ABSTRACT The genomes of 450 members of Burkholderiaceae, isolated from clinical and environmental sources, were sequenced and assembled as a resource for genome mining. Genomic analysis of the collection has enabled the identification of multiple metabolites and their biosynthetic gene clusters, including the antibiotics gladiolin, icosalide A, enacyloxin, and cepacin A.

scholarly journals Genomic analysis of siderophore β-hydroxylases reveals divergent stereocontrol and expands the condensation domain family

2019 ◽  
Vol 116 (40) ◽  
pp. 19805-19814 ◽  
Author(s):  
Zachary L. Reitz ◽  
Clifford D. Hardy ◽  
Jaewon Suk ◽  
Jean Bouvet ◽  
Alison Butler
Keyword(s):  
Predictive Power ◽  
Genome Mining ◽  
Genomic Analysis ◽  
Gene Clusters ◽  
Biosynthetic Gene Cluster ◽  
Biosynthetic Gene ◽  
Biosynthetic Gene Clusters ◽  
Peptide Synthetase ◽  
Condensation Domain

Genome mining of biosynthetic pathways streamlines discovery of secondary metabolites but can leave ambiguities in the predicted structures, which must be rectified experimentally. Through coupling the reactivity predicted by biosynthetic gene clusters with verified structures, the origin of the β-hydroxyaspartic acid diastereomers in siderophores is reported herein. Two functional subtypes of nonheme Fe(II)/α-ketoglutarate–dependent aspartyl β-hydroxylases are identified in siderophore biosynthetic gene clusters, which differ in genomic organization—existing either as fused domains (IβHAsp) at the carboxyl terminus of a nonribosomal peptide synthetase (NRPS) or as stand-alone enzymes (TβHAsp)—and each directs opposite stereoselectivity of Asp β-hydroxylation. The predictive power of this subtype delineation is confirmed by the stereochemical characterization of β-OHAsp residues in pyoverdine GB-1, delftibactin, histicorrugatin, and cupriachelin. The l-threo (2S, 3S) β-OHAsp residues of alterobactin arise from hydroxylation by the β-hydroxylase domain integrated into NRPS AltH, while l-erythro (2S, 3R) β-OHAsp in delftibactin arises from the stand-alone β-hydroxylase DelD. Cupriachelin contains both l-threo and l-erythro β-OHAsp, consistent with the presence of both types of β-hydroxylases in the biosynthetic gene cluster. A third subtype of nonheme Fe(II)/α-ketoglutarate–dependent enzymes (IβHHis) hydroxylates histidyl residues with l-threo stereospecificity. A previously undescribed, noncanonical member of the NRPS condensation domain superfamily is identified, named the interface domain, which is proposed to position the β-hydroxylase and the NRPS-bound amino acid prior to hydroxylation. Through mapping characterized β-OHAsp diastereomers to the phylogenetic tree of siderophore β-hydroxylases, methods to predict β-OHAsp stereochemistry in silico are realized.

Sign in / Sign up

Export Citation Format

Share Document