scholarly journals Identification and Characterization of Biosynthetic Gene Clusters from Halophilic Marine Fungus Eurotium rubrum

2020 ◽  
Author(s):  
Obul Reddy Bandapali ◽  
Frederik Teilfeldt Hansen ◽  
Alisha Parveen ◽  
Pradeep Phule ◽  
Emmagouni Sharath Kumar Goud ◽  
...  
Keyword(s):  
Polyketide Synthase ◽  
Gene Clusters ◽  
Marine Fungus ◽  
Type I ◽  
Biosynthetic Gene ◽  
Biosynthetic Gene Clusters ◽  
Peptide Synthetase ◽  
Future Drug ◽  
Identification And Characterization

Eurotium rubrum is a halophilic marine ascomycete, which can bear the hypersalinities of the Red Sea and proliferate, while most living entities cannot bear this condition. Recently, a 26.2 Mb assembled genome of this fungus had become available. Marine fungi are fascinating organisms capable of harboring several biosynthetic gene clusters (BGCs), which enables them to produce several natural compounds with antibiotic and anticancerous properties. Understanding the BGCs are critically important for the development of biotechnological applications and the discovery of future drugs. There is no knowledge available on the BGCs of this halophilic marine ascomycete. Herein, we set out to explore and characterize BGCs and the corresponding genes from E. rubrum using bioinformatic methods. We deciphered 36 BGCs in the genome of E. rubrum. These 36 BGCs can be grouped into four non-ribosomal peptide synthetase (NRPS) clusters, eight NRPS-like (NRPSL) BGCs, eight type I polyketide synthase (T1PKS), 11 terpene BGCs including one β-lactone cluster, four hybrid BGCs, and two siderophore BGCs. This study is an example of marine genomics application into potential future drug-like compound discovery.

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.

scholarly journals Identification and Characterization of the Asperthecin Gene Cluster of Aspergillus nidulans

2008 ◽  
Vol 74 (24) ◽  
pp. 7607-7612 ◽  
Author(s):  
Edyta Szewczyk ◽  
Yi-Ming Chiang ◽  
C. Elizabeth Oakley ◽  
Ashley D. Davidson ◽  
Clay C. C. Wang ◽  
...  
Keyword(s):  
Secondary Metabolite ◽  
Polyketide Synthase ◽  
Gene Clusters ◽  
Laboratory Culture ◽  
Culture Conditions ◽  
Type I ◽  
Genes Encoding ◽  
Identification And Characterization ◽  
Normal Laboratory

ABSTRACT The sequencing of Aspergillus genomes has revealed that the products of a large number of secondary metabolism pathways have not yet been identified. This is probably because many secondary metabolite gene clusters are not expressed under normal laboratory culture conditions. It is, therefore, important to discover conditions or regulatory factors that can induce the expression of these genes. We report that the deletion of sumO, the gene that encodes the small ubiquitin-like protein SUMO in A. nidulans, caused a dramatic increase in the production of the secondary metabolite asperthecin and a decrease in the synthesis of austinol/dehydroaustinol and sterigmatocystin. The overproduction of asperthecin in the sumO deletion mutant has allowed us, through a series of targeted deletions, to identify the genes required for asperthecin synthesis. The asperthecin biosynthesis genes are clustered and include genes encoding an iterative type I polyketide synthase, a hydrolase, and a monooxygenase. The identification of these genes allows us to propose a biosynthetic pathway for asperthecin.

scholarly journals Activation and Identification of a Griseusin Cluster in Streptomyces sp. CA-256286 by Employing Transcriptional Regulators and Multi-Omics Methods

Molecules ◽  
2021 ◽  
Vol 26 (21) ◽  
pp. 6580
Author(s):  
Charlotte Beck ◽  
Tetiana Gren ◽  
Francisco Javier Ortiz-López ◽  
Tue Sparholt Jørgensen ◽  
Daniel Carretero-Molina ◽  
...  
Keyword(s):  
Biosynthetic Pathway ◽  
Genome Mining ◽  
Gene Clusters ◽  
Transcriptional Regulators ◽  
Biosynthetic Gene ◽  
Biosynthetic Gene Clusters ◽  
Heterologous Host ◽  
Streptomyces Sp ◽  
Identification And Characterization

Streptomyces are well-known producers of a range of different secondary metabolites, including antibiotics and other bioactive compounds. Recently, it has been demonstrated that “silent” biosynthetic gene clusters (BGCs) can be activated by heterologously expressing transcriptional regulators from other BGCs. Here, we have activated a silent BGC in Streptomyces sp. CA-256286 by overexpression of a set of SARP family transcriptional regulators. The structure of the produced compound was elucidated by NMR and found to be an N-acetyl cysteine adduct of the pyranonaphtoquinone polyketide 3′-O-α-d-forosaminyl-(+)-griseusin A. Employing a combination of multi-omics and metabolic engineering techniques, we identified the responsible BGC. These methods include genome mining, proteomics and transcriptomics analyses, in combination with CRISPR induced gene inactivations and expression of the BGC in a heterologous host strain. This work demonstrates an easy-to-implement workflow of how silent BGCs can be activated, followed by the identification and characterization of the produced compound, the responsible BGC, and hints of its biosynthetic pathway.

scholarly journals Draft Genome Sequence of Saccharomonospora piscinae KCTC 19743T, an Actinobacterium Containing Secondary Metabolite Biosynthetic Gene Clusters

2020 ◽  
Vol 9 (15) ◽  
Author(s):  
Ninfa Ramírez-Durán ◽  
Rafael R. de la Haba ◽  
Blanca Vera-Gargallo ◽  
Cristina Sánchez-Porro ◽  
Scarlett Alonso-Carmona ◽  
...  
Keyword(s):  
Genome Sequence ◽  
Polyketide Synthase ◽  
Draft Genome ◽  
Gene Clusters ◽  
Open Reading Frames ◽  
Draft Genome Sequence ◽  
Biosynthetic Gene ◽  
Biosynthetic Gene Clusters ◽  
Peptide Synthetase ◽  
Reading Frames

The draft genome sequence of Saccharomonospora piscinae KCTC 19743T, with a size of 4,897,614 bp, was assembled into 11 scaffolds containing 4,561 open reading frames and a G+C content of 71.0 mol%. Polyketide synthase and nonribosomal peptide synthetase gene clusters, which are responsible for the biosynthesis of several biomolecules, were identified and located in different regions in the genome.

scholarly journals Microfluidic automated plasmid library enrichment for biosynthetic gene cluster discovery

2020 ◽  
Vol 48 (8) ◽  
pp. e48-e48 ◽  
Author(s):  
Peng Xu ◽  
Cyrus Modavi ◽  
Benjamin Demaree ◽  
Frederick Twigg ◽  
Benjamin Liang ◽  
...  
Keyword(s):  
Gene Cluster ◽  
Polyketide Synthase ◽  
Gene Clusters ◽  
Biosynthetic Gene Cluster ◽  
Bioactive Molecules ◽  
Type I ◽  
Biosynthetic Gene ◽  
Biosynthetic Gene Clusters ◽  
Plasmid Library ◽  
Polyketide Synthase Gene

Abstract Microbial biosynthetic gene clusters are a valuable source of bioactive molecules. However, because they typically represent a small fraction of genomic material in most metagenomic samples, it remains challenging to deeply sequence them. We present an approach to isolate and sequence gene clusters in metagenomic samples using microfluidic automated plasmid library enrichment. Our approach provides deep coverage of the target gene cluster, facilitating reassembly. We demonstrate the approach by isolating and sequencing type I polyketide synthase gene clusters from an Antarctic soil metagenome. Our method promotes the discovery of functional-related genes and biosynthetic pathways.

scholarly journals Draft Genome Sequence of Streptomyces sp. TP-A0890, a Producer of FR-900452 and A-74863a

2015 ◽  
Vol 3 (5) ◽  
Author(s):  
Hisayuki Komaki ◽  
Natsuko Ichikawa ◽  
Akira Hosoyama ◽  
Nobuyuki Fujita ◽  
Yasuhiro Igarashi
Keyword(s):  
Genome Sequence ◽  
Polyketide Synthase ◽  
Sequence Similarity ◽  
Draft Genome ◽  
Gene Clusters ◽  
Draft Genome Sequence ◽  
Biosynthetic Gene ◽  
Biosynthetic Gene Clusters ◽  
Peptide Synthetase ◽  
Gene Functions

Here, we report the draft genome sequence of Streptomyces sp. TP-A0890, a producer of FR-900452 and A-74863a. The genome was found to contain at least eight polyketide synthase and nonribosomal peptide synthetase gene clusters. A prediction of gene functions based on the sequence similarity allowed us to assign the biosynthetic gene clusters for FR-900452 and A-74863a.

scholarly journals Expansion and Conservation of Biosynthetic Gene Clusters in Pathogenic Pyrenophora spp.

Toxins ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 242
Author(s):  
Paula M. Moolhuijzen ◽  
Mariano Jordi Muria-Gonzalez ◽  
Robert Syme ◽  
Catherine Rawlinson ◽  
Pao Theen See ◽  
...  
Keyword(s):  
Polyketide Synthase ◽  
Gene Clusters ◽  
Type I ◽  
Biosynthetic Gene ◽  
Biosynthetic Gene Clusters ◽  
Terpene Synthases ◽  
Type Iii Polyketide Synthase ◽  
Cis Acting ◽  
Surrounding Environment ◽  
Genome Assemblies

Pyrenophora is a fungal genus responsible for a number of major cereal diseases. Although fungi produce many specialised or secondary metabolites for defence and interacting with the surrounding environment, the repertoire of specialised metabolites (SM) within Pyrenophora pathogenic species remains mostly uncharted. In this study, an in-depth comparative analysis of the P. teres f. teres, P teres f. maculata and P. tritici-repentis potential to produce SMs, based on in silico predicted biosynthetic gene clusters (BGCs), was conducted using genome assemblies from PacBio DNA reads. Conservation of BGCs between the Pyrenophora species included type I polyketide synthases, terpene synthases and the first reporting of a type III polyketide synthase in P teres f. maculata. P. teres isolates exhibited substantial expansion of non-ribosomal peptide synthases relative to P. tritici-repentis, hallmarked by the presence of tailoring cis-acting nitrogen methyltransferase domains. P. teres isolates also possessed unique non-ribosomal peptide synthase (NRPS)-indole and indole BGCs, while a P. tritici-repentis phytotoxin BGC for triticone production was absent in P. teres. These differences highlight diversification between the pathogens that reflects their different evolutionary histories, host adaption and lifestyles.

scholarly journals Genome Mining and Characterization of Biosynthetic Gene Clusters in Two Cave Strains of Paenibacillus sp.

2021 ◽  
Vol 11 ◽  
Author(s):  
Jolanta Lebedeva ◽  
Gabriele Jukneviciute ◽  
Rimvydė Čepaitė ◽  
Vida Vickackaite ◽  
Raminta Pranckutė ◽  
...  
Keyword(s):  
Genome Mining ◽  
Gene Clusters ◽  
Phenotypic Characterization ◽  
Biosynthetic Pathways ◽  
Biosynthetic Gene ◽  
Biosynthetic Gene Clusters ◽  
Paenibacillus Sp ◽  
Peptide Synthetase ◽  
Non Ribosomal Peptides

The genome sequencing and mining of microorganisms from unexplored and extreme environments has become important in the process of identifying novel biosynthetic pathways. In the present study, the biosynthetic potential of Paenibacillus sp. strains 23TSA30-6 and 28ISP30-2 was investigated. Both strains were isolated from the deep oligotrophic Krubera-Voronja Cave and were found to be highly active against both Gram-positive and Gram-negative bacteria. Genome mining revealed a high number of biosynthetic gene clusters in the cave strains: 21 for strain 23TSA30-6 and 19 for strain 28ISP30-2. Single clusters encoding the biosynthesis of phosphonate, terpene, and siderophore, as well as a single trans-AT polyketide synthase/non-ribosomal peptide synthetase, were identified in both genomes. The most numerous clusters were assigned to the biosynthetic pathways of non-ribosomal peptides and ribosomally synthesized and post-translationally modified peptides. Although four non-ribosomal peptide synthetase gene clusters were predicted to be involved in the biosynthesis of known compounds (fusaricidin, polymyxin B, colistin A, and tridecaptin) of the genus Paenibacillus, discrepancies in the structural organization of the clusters, as well as in the substrate specificity of some adenylation domains, were detected between the reference pathways and the clusters in our study. Among the clusters involved in the biosynthesis of ribosomally synthesized peptides, only one was predicted to be involved in the biosynthesis of a known compound: paenicidin B. Most biosynthetic gene clusters in the genomes of the cave strains showed a low similarity with the reference pathways and were predicted to represent novel biosynthetic pathways. In addition, the cave strains differed in their potential to encode the biosynthesis of a few unique, previously unknown compounds (class II lanthipeptides and three non-ribosomal peptides). The phenotypic characterization of proteinaceous and volatile compounds produced by strains 23TSA30-6 and 28ISP30-2 was also performed, and the results were compared with those of genome mining.

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