scholarly journals Lentzeacins A-E, New Bacterial-Derived 2,5- and 2,6-Disubstituted Pyrazines from a BGC-Rich Soil Bacterium Lentzea sp. GA3-008

Molecules ◽  
2021 ◽  
Vol 26 (23) ◽  
pp. 7197
Author(s):  
Hong-Bing Liu ◽  
Jack R. Davison ◽  
Rahim Rajwani ◽  
Gengxiang Zhao ◽  
Shannon I. Ohlemacher ◽  
...  
Keyword(s):  
Biological Effects ◽  
Draft Genome ◽  
Gene Clusters ◽  
Cyclic Dipeptide ◽  
Biosynthetic Gene ◽  
Biosynthetic Gene Clusters ◽  
Important Group ◽  
Wide Range ◽  
Long Read ◽  
Chemical Class

Pyrazines (1,4-diazirines) are an important group of natural products that have tremendous monetary value in the food and fragrance industries and can exhibit a wide range of biological effects including antineoplastic, antidiabetic and antibiotic activities. As part of a project investigating the secondary metabolites present in understudied and chemically rich Actinomycetes, we isolated a series of six pyrazines from a soil-derived Lentzea sp. GA3-008, four of which are new. Here we describe the structures of lentzeacins A-E (1, 3, 5 and 6) along with two known analogues (2 and 4) and the porphyrin zincphyrin. The structures were determined by NMR spectroscopy and HR-ESI-MS. The suite of compounds present in Lentzea sp. includes 2,5-disubstituted pyrazines (compounds 2, 4, and 6) together with the new 2,6-disubstituted isomers (compounds 1, 3 and 5), a chemical class that is uncommon. We used long-read Nanopore sequencing to assemble a draft genome sequence of Lentzea sp. which revealed the presence of 40 biosynthetic gene clusters. Analysis of classical di-modular and single module non-ribosomal peptide synthase genes, and cyclic dipeptide synthases narrows down the possibilities for the biosynthesis of the pyrazines present in this strain.

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

2020 ◽  
Vol 295 (44) ◽  
pp. 14826-14839
Author(s):  
Serina L. Robinson ◽  
Barbara R. Terlouw ◽  
Megan D. Smith ◽  
Sacha J. Pidot ◽  
Timothy P. Stinear ◽  
...  
Keyword(s):  
Machine Learning ◽  
Natural Product ◽  
Global Analysis ◽  
Gene Clusters ◽  
Divergent Evolution ◽  
Acid Activation ◽  
Biosynthetic Gene ◽  
Biosynthetic Gene Clusters ◽  
Predictive Tool ◽  
Wide Range

Enzymes 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 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 sequences. 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 phylogenetic reconstruction and sequence similarity networking of enzymes from these clusters suggested divergent evolution of the adenylate-forming superfamily from a core enzyme scaffold most related to contemporary CoA ligases toward more specialized functions including β-lactone synthetases. Our classifier predicted β-lactone synthetases in uncharacterized biosynthetic gene clusters conserved in >90 different strains of Nocardia. To test our prediction, 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 that our machine learning approach will aid in functional classification of enzymes and advance natural product discovery.

scholarly journals Draft Genome Sequence of Geobacillus sp. LEMMY01, a Thermophilic Bacterium Isolated from the Site of a Burning Grass Pile

2017 ◽  
Vol 5 (19) ◽  
Author(s):  
Yuri Pinheiro Alves de Souza ◽  
Fábio Faria da Mota ◽  
Alexandre Soares Rosado
Keyword(s):  
Secondary Metabolites ◽  
Genome Sequence ◽  
Draft Genome ◽  
Axenic Culture ◽  
Gene Clusters ◽  
Thermophilic Bacterium ◽  
Draft Genome Sequence ◽  
Biosynthetic Gene ◽  
Biosynthetic Gene Clusters ◽  
Biotechnological Potential

ABSTRACT We report here the 3,586,065-bp draft genome of Geobacillus sp. LEMMY01, which was isolated (axenic culture) from a thermophilic chemolitoautotrophic consortium obtained from the site of a burning grass pile. The genome contains biosynthetic gene clusters coding for secondary metabolites, such as terpene and lantipeptide, confirming the biotechnological potential of this strain.

scholarly journals Draft Genome Sequence of Bacillus velezensis Strain E68, Isolated from an Oil Battery

2020 ◽  
Vol 9 (24) ◽  
Author(s):  
Nathan Liang ◽  
Suha Jabaji
Keyword(s):  
Biological Control ◽  
Fungal Pathogens ◽  
Biological Control Agent ◽  
Draft Genome ◽  
Gene Clusters ◽  
Control Agent ◽  
Biosynthetic Gene ◽  
Bacillus Velezensis ◽  
Biosynthetic Gene Clusters ◽  
Content Type

ABSTRACT Bacillus velezensis strain E68 is a biosurfactant-producing bacterium isolated from an oil battery near Chauvin, Alberta, Canada. Strain E68 exhibited antimicrobial activity against fungal pathogens and could potentially serve as a biological control agent. Its genome was sequenced and annotated, revealing the presence of multiple lipopeptide biosynthetic gene clusters.

scholarly journals Draft Genome Sequence of Bacillus subtilis SB-14, an Antimicrobially Active Isolate from Namibian Social Spiders (Stegodyphus dumicola)

2019 ◽  
Vol 8 (25) ◽  
Author(s):  
Stine Sofie Frank Nielsen ◽  
Simone Weiss ◽  
Seven Nazipi ◽  
Ian P. G. Marshall ◽  
Trine Bilde ◽  
...  
Keyword(s):  
Bacillus Subtilis ◽  
Genome Sequence ◽  
Draft Genome ◽  
Gene Clusters ◽  
Draft Genome Sequence ◽  
Biosynthetic Gene ◽  
Biosynthetic Gene Clusters ◽  
High Quality ◽  
Social Spider ◽  
Content Type

We present the high-quality draft genome sequence of Bacillus subtilis SB-14, isolated from the Namibian social spider Stegodyphus dumicola. In accordance with its antimicrobial activity, both known and potentially novel antimicrobial biosynthetic gene clusters were identified in the genome of SB-14.

scholarly journals Draft Genome Sequence of Kroppenstedtia sanguinis X0209T, a Clinical Isolate Recovered from Human Blood

2019 ◽  
Vol 8 (24) ◽  
Author(s):  
Robert A. Arthur ◽  
Ainsley C. Nicholson ◽  
Ben W. Humrighouse ◽  
John R. McQuiston ◽  
Brent A. Lasker
Keyword(s):  
Clinical Isolate ◽  
Genome Sequence ◽  
Human Blood ◽  
Draft Genome ◽  
Gene Clusters ◽  
Illumina Miseq ◽  
Draft Genome Sequence ◽  
Biosynthetic Gene ◽  
Biosynthetic Gene Clusters ◽  
Content Type

Kroppenstedtia sanguinis X0209T, a thermoactinomycete, was isolated from the blood of a patient in Sweden. We report on the draft genome sequence obtained with an Illumina MiSeq instrument. The assembled genome totaled 3.73 Mb and encoded 3,583 proteins. Putative genes for virulence, transposons, and biosynthetic gene clusters have been identified.

scholarly journals Draft Genome Sequence of Streptomyces sp. Strain C8S0, Isolated from a Highly Oligotrophic Sediment

2020 ◽  
Vol 9 (14) ◽  
Author(s):  
S. Gallegos-Lopez ◽  
P. M. Mejia-Ponce ◽  
L. A. Gonzalez-Salazar ◽  
L. Rodriguez-Orduña ◽  
V. Souza-Saldivar ◽  
...  
Keyword(s):  
Genome Sequence ◽  
Draft Genome ◽  
Gene Clusters ◽  
Draft Genome Sequence ◽  
Bioactive Metabolites ◽  
Nonribosomal Peptides ◽  
Biosynthetic Gene ◽  
Biosynthetic Gene Clusters ◽  
Cuatro Ciénegas ◽  
Cuatro Ciénegas Basin

Streptomyces spp. are prolific bacteria producing bioactive metabolites. We present the draft genome sequence of Streptomyces sp. strain C8S0, which was isolated from a highly oligotrophic sediment from the Cuatro Cienegas Basin (Mexico). The whole-genome assembly comprised 6,898,902 bp, with 18 biosynthetic gene clusters, including those for nonconventional terpenes, nonribosomal peptides, and polyketides.

scholarly journals Discovery and characterisation of an amidine-containing ribosomally-synthesised peptide that is widely distributed in nature

2021 ◽  
Author(s):  
Alicia H Russell ◽  
Natalia Miguel Vior ◽  
Edward Steven Hems ◽  
Rodney Lacret ◽  
Andrew William Truman
Keyword(s):  
Natural Product ◽  
Genome Mining ◽  
Gene Clusters ◽  
Biosynthetic Gene ◽  
Biosynthetic Gene Clusters ◽  
Wide Range ◽  
Modified Peptides

Ribosomally synthesised and post-translationally modified peptides (RiPPs) are a structurally diverse class of natural product with a wide range of bioactivities. Genome mining for RiPP biosynthetic gene clusters (BGCs) is...

scholarly journals Final Destination? Pinpointing Hyella disjuncta sp. nov. PCC 6712 (Cyanobacteria) Based on Taxonomic Aspects, Multicellularity, Nitrogen Fixation and Biosynthetic Gene Clusters

Life ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. 916
Author(s):  
Patrick Jung ◽  
Paul M. D’Agostino ◽  
Katharina Brust ◽  
Burkhard Büdel ◽  
Michael Lakatos
Keyword(s):  
Nitrogen Fixation ◽  
Genomic Analysis ◽  
Gene Clusters ◽  
Biosynthetic Gene ◽  
Biosynthetic Gene Clusters ◽  
Final Destination ◽  
Wide Range ◽  
Taxonomic Confusion ◽  
Rrna Phylogeny ◽  
Genome Analyses

Unicellular cyanobacteria inhabit a wide range of ecosytems and can be found throughout the phylum offering space for taxonomic confusion. One example is strain PCC 6712 that was described as Chlorogloea sp. (Nostocales) and later assigned to the genus Chroococcidiopsis (Chroococcidiopsidales). We now show that this strain belongs to the order Pleurocapsales and term it Hyella disjuncta based on morphology, genome analyses and 16S-23S ITS rRNA phylogeny. Genomic analysis indicated that H. disjuncta PCC 6712 shared about 44.7% orthologue genes with its closest relative H. patelloides. Furthermore, 12 cryptic biosynthetic gene clusters (BGCs) with potential bioactivity, such as a mycosporine-like amino acid BGC, were detected. Interestingly, the full set of nitrogen fixation genes was found in H. disjuncta PCC 6712 despite its inability to grow on nitrogen-free medium. A comparison of genes responsible for multicellularity was performed, indicating that most of these genes were present and related to those found in other cyanobacterial orders. This is in contrast to the formation of pseudofilaments—a main feature of the genus Hyella—which is weakly expressed in H. disjuncta PCC 6712 but prominent in Hyella patelloides LEGE 07179. Thus, our study pinpoints crucial but hidden aspects of polyphasic cyanobacterial taxonomy.

Understanding and manipulating antibiotic production in actinomycetes

2013 ◽  
Vol 41 (6) ◽  
pp. 1355-1364 ◽  
Author(s):  
Mervyn J. Bibb
Keyword(s):  
Natural Product ◽  
Biological Activities ◽  
Antibiotic Production ◽  
Gene Clusters ◽  
Biosynthetic Gene ◽  
Biosynthetic Gene Clusters ◽  
Natural Product Biosynthesis ◽  
Genomic Technologies ◽  
Wide Range ◽  
Recent Developments

Actinomycetes are prolific producers of natural products with a wide range of biological activities. Many of the compounds that they make (and derivatives thereof) are used extensively in medicine, most notably as clinically important antibiotics, and in agriculture. Moreover, these organisms remain a source of novel and potentially useful molecules, but maximizing their biosynthetic potential requires a better understanding of natural product biosynthesis. Recent developments in genome sequencing have greatly facilitated the identification of natural product biosynthetic gene clusters. In the present article, I summarize the recent contributions of our laboratory in applying genomic technologies to better understand and manipulate natural product biosynthesis in a range of different actinomycetes.

scholarly journals Mining metagenomes for natural product biosynthetic gene clusters: unlocking new potential with ultrafast techniques

2021 ◽  
Author(s):  
Emiliano Pereira-Flores ◽  
Marnix Medema ◽  
Pier Luigi Buttigieg ◽  
Peter Meinicke ◽  
Frank Oliver Glöckner ◽  
...  
Keyword(s):  
Natural Products ◽  
Natural Product ◽  
Human Microbiome ◽  
Gene Clusters ◽  
Human Microbiome Project ◽  
Biosynthetic Gene Cluster ◽  
Metagenomic Data ◽  
Biosynthetic Gene ◽  
Biosynthetic Gene Clusters ◽  
Wide Range

Microorganisms produce an immense variety of natural products through the expression of Biosynthetic Gene Clusters (BGCs): physically clustered genes that encode the enzymes of a specialized metabolic pathway. These natural products cover a wide range of chemical classes (e.g., aminoglycosides, lantibiotics, nonribosomal peptides, oligosaccharides, polyketides, terpenes) that are highly valuable for industrial and medical applications1. Metagenomics, as a culture-independent approach, has greatly enhanced our ability to survey the functional potential of microorganisms and is growing in popularity for the mining of BGCs. However, to effectively exploit metagenomic data to this end, it will be crucial to more efficiently identify these genomic elements in highly complex and ever-increasing volumes of data2. Here, we address this challenge by developing the ultrafast Biosynthetic Gene cluster MEtagenomic eXploration toolbox (BiG-MEx). BiG-MEx rapidly identifies a broad range of BGC protein domains, assess their diversity and novelty, and predicts the abundance profile of natural product BGC classes in metagenomic data. We show the advantages of BiG-MEx compared to standard BGC-mining approaches, and use it to explore the BGC domain and class composition of samples in the TARA Oceans3 and Human Microbiome Project datasets4. In these analyses, we demonstrate BiG-MEx’s applicability to study the distribution, diversity, and ecological roles of BGCs in metagenomic data, and guide the exploration of natural products with clinical applications.

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