scholarly journals Variable genetic architectures produce virtually identical molecules in bacterial symbionts of fungus-growing ants

2015 ◽  
Vol 112 (43) ◽  
pp. 13150-13154 ◽  
Author(s):  
Clarissa S. Sit ◽  
Antonio C. Ruzzini ◽  
Ethan B. Van Arnam ◽  
Timothy R. Ramadhar ◽  
Cameron R. Currie ◽  
...  
Keyword(s):  
Small Molecules ◽  
Fungal Pathogen ◽  
Evolutionary Model ◽  
Gene Clusters ◽  
Genomic Islands ◽  
Bacterial Symbionts ◽  
Biosynthetic Gene ◽  
Biosynthetic Gene Clusters ◽  
Cyclic Depsipeptide ◽  
Fungus Growing Ants

Small molecules produced by Actinobacteria have played a prominent role in both drug discovery and organic chemistry. As part of a larger study of the actinobacterial symbionts of fungus-growing ants, we discovered a small family of three previously unreported piperazic acid-containing cyclic depsipeptides, gerumycins A–C. The gerumycins are slightly smaller versions of dentigerumycin, a cyclic depsipeptide that selectively inhibits a common fungal pathogen, Escovopsis. We had previously identified this molecule from a Pseudonocardia associated with Apterostigma dentigerum, and now we report the molecule from an associate of the more highly derived ant Trachymyrmex cornetzi. The three previously unidentified compounds, gerumycins A–C, have essentially identical structures and were produced by two different symbiotic Pseudonocardia spp. from ants in the genus Apterostigma found in both Panama and Costa Rica. To understand the similarities and differences in the biosynthetic pathways that produced these closely related molecules, the genomes of the three producing Pseudonocardia were sequenced and the biosynthetic gene clusters identified. This analysis revealed that dramatically different biosynthetic architectures, including genomic islands, a plasmid, and the use of spatially separated genetic loci, can lead to molecules with virtually identical core structures. A plausible evolutionary model that unifies these disparate architectures is presented.

scholarly journals Identification of the Bacterial Biosynthetic Gene Clusters of the Oral Microbiome Illuminates the Unexplored Social Language of Bacteria during Health and Disease

mBio ◽  
2019 ◽  
Vol 10 (2) ◽  
Author(s):  
Gajender Aleti ◽  
Jonathon L. Baker ◽  
Xiaoyu Tang ◽  
Ruth Alvarez ◽  
Márcia Dinis ◽  
...  
Keyword(s):  
Dental Caries ◽  
Small Molecules ◽  
Gene Clusters ◽  
Signaling Molecules ◽  
Oral Bacteria ◽  
Oral Microbiome ◽  
Communication Media ◽  
Biosynthetic Gene ◽  
Colonization Resistance ◽  
Biosynthetic Gene Clusters

ABSTRACT Small molecules are the primary communication media of the microbial world. Recent bioinformatic studies, exploring the biosynthetic gene clusters (BGCs) which produce many small molecules, have highlighted the incredible biochemical potential of the signaling molecules encoded by the human microbiome. Thus far, most research efforts have focused on understanding the social language of the gut microbiome, leaving crucial signaling molecules produced by oral bacteria and their connection to health versus disease in need of investigation. In this study, a total of 4,915 BGCs were identified across 461 genomes representing a broad taxonomic diversity of oral bacteria. Sequence similarity networking provided a putative product class for more than 100 unclassified novel BGCs. The newly identified BGCs were cross-referenced against 254 metagenomes and metatranscriptomes derived from individuals either with good oral health or with dental caries or periodontitis. This analysis revealed 2,473 BGCs, which were differentially represented across the oral microbiomes associated with health versus disease. Coabundance network analysis identified numerous inverse correlations between BGCs and specific oral taxa. These correlations were present in healthy individuals but greatly reduced in individuals with dental caries, which may suggest a defect in colonization resistance. Finally, corroborating mass spectrometry identified several compounds with homology to products of the predicted BGC classes. Together, these findings greatly expand the number of known biosynthetic pathways present in the oral microbiome and provide an atlas for experimental characterization of these abundant, yet poorly understood, molecules and socio-chemical relationships, which impact the development of caries and periodontitis, two of the world’s most common chronic diseases. IMPORTANCE The healthy oral microbiome is symbiotic with the human host, importantly providing colonization resistance against potential pathogens. Dental caries and periodontitis are two of the world’s most common and costly chronic infectious diseases and are caused by a localized dysbiosis of the oral microbiome. Bacterially produced small molecules, often encoded by BGCs, are the primary communication media of bacterial communities and play a crucial, yet largely unknown, role in the transition from health to dysbiosis. This study provides a comprehensive mapping of the BGC repertoire of the human oral microbiome and identifies major differences in health compared to disease. Furthermore, BGC representation and expression is linked to the abundance of particular oral bacterial taxa in health versus dental caries and periodontitis. Overall, this study provides a significant insight into the chemical communication network of the healthy oral microbiome and how it devolves in the case of two prominent diseases.

scholarly journals Identification of the bacterial biosynthetic gene clusters of the oral microbiome illuminates the unexplored social language of bacteria during health and disease

2018 ◽  
Author(s):  
Gajender Aleti ◽  
Jonathon L. Baker ◽  
Xiaoyu Tang ◽  
Ruth Alvarez ◽  
Márcia Dinis ◽  
...  
Keyword(s):  
Dental Caries ◽  
Small Molecules ◽  
Gene Clusters ◽  
Signaling Molecules ◽  
Oral Bacteria ◽  
Oral Microbiome ◽  
Communication Media ◽  
Biosynthetic Gene ◽  
Colonization Resistance ◽  
Biosynthetic Gene Clusters

ABSTRACTSmall molecules are the primary communication media of the microbial world. Recent bioinformatics studies, exploring the biosynthetic gene clusters (BGCs) which produce many small molecules, have highlighted the incredible biochemical potential of the signaling molecules encoded by the human microbiome. Thus far, most research efforts have focused on understanding the social language of the gut microbiome, leaving crucial signaling molecules produced by oral bacteria, and their connection to health versus disease, in need of investigation. In this study, a total of 4,915 BGCs were identified across 461 genomes representing a broad taxonomic diversity of oral bacteria. Sequence similarity networking provided a putative product class for over 100 unclassified novel BGCs. The newly identified BGCs were cross-referenced against 254 metagenomes and metatranscriptomes derived from individuals with either good oral health, dental caries, or periodontitis. This analysis revealed 2,473 BGCs, which were differentially represented across the oral microbiomes associated with health versus disease. Co-abundance network analysis identified numerous inverse correlations between BGCs and specific oral taxa. These correlations were present in health, but greatly reduced in dental caries, which may suggest a defect in colonization resistance. Finally, corroborating mass spectrometry identified several compounds with homology to products of the predicted BGC classes. Together, these findings greatly expand the number of known biosynthetic pathways present in the oral microbiome and provide an atlas for experimental characterization of these abundant, yet poorly understood, molecules and socio-chemical relationships, which impact the development of caries and periodontitis, two of the world’s most common chronic diseases.IMPORTANCEThe healthy oral microbiome is symbiotic with the human host, importantly providing colonization resistance against potential pathogens. Dental caries and periodontitis are two of the world’s most common and costly chronic infectious diseases, and are caused by a localized dysbiosis of the oral microbiome. Bacterially produced small molecules, often encoded by BGCs, are the primary communication media of bacterial communities, and play a crucial, yet largely unknown, role in the transition from health to dysbiosis. This study provides a comprehensive mapping of the BGC repertoire of the human oral microbiome and identifies major differences in health compared to disease. Furthermore, BGC representation and expression is linked to the abundance of particular oral bacterial taxa in health versus dental caries and periodontitis. Overall, this study provides a significant insight into the chemical communication network of the healthy oral microbiome, and how it devolves in the case of two prominent diseases.

scholarly journals Recent development of antiSMASH and other computational approaches to mine secondary metabolite biosynthetic gene clusters

2017 ◽  
Vol 20 (4) ◽  
pp. 1103-1113 ◽  
Author(s):  
Kai Blin ◽  
Hyun Uk Kim ◽  
Marnix H Medema ◽  
Tilmann Weber
Keyword(s):  
Natural Products ◽  
Small Molecules ◽  
Sequence Similarity ◽  
Genome Mining ◽  
Gene Clusters ◽  
Biosynthetic Gene ◽  
Biosynthetic Gene Clusters ◽  
Rule Based ◽  
Chemical Structures ◽  
Annotation Quality

Abstract Many drugs are derived from small molecules produced by microorganisms and plants, so-called natural products. Natural products have diverse chemical structures, but the biosynthetic pathways producing those compounds are often organized as biosynthetic gene clusters (BGCs) and follow a highly conserved biosynthetic logic. This allows for the identification of core biosynthetic enzymes using genome mining strategies that are based on the sequence similarity of the involved enzymes/genes. However, mining for a variety of BGCs quickly approaches a complexity level where manual analyses are no longer possible and require the use of automated genome mining pipelines, such as the antiSMASH software. In this review, we discuss the principles underlying the predictions of antiSMASH and other tools and provide practical advice for their application. Furthermore, we discuss important caveats such as rule-based BGC detection, sequence and annotation quality and cluster boundary prediction, which all have to be considered while planning for, performing and analyzing the results of genome mining studies.

scholarly journals Biosynthetic gene clusters, secondary metabolite profiles, and cards of virulence in the closest nonpathogenic relatives of Aspergillus fumigatus

2020 ◽  
Author(s):  
Jacob L. Steenwyk ◽  
Matthew E. Mead ◽  
Sonja L. Knowles ◽  
Huzefa A. Raja ◽  
Christopher D. Roberts ◽  
...  
Keyword(s):  
Secondary Metabolites ◽  
Aspergillus Fumigatus ◽  
Secondary Metabolism ◽  
Human Disease ◽  
Metabolic Pathways ◽  
Fungal Pathogen ◽  
Gene Clusters ◽  
Biosynthetic Gene ◽  
Biosynthetic Gene Clusters ◽  
Close Relatives

AbstractAspergillus fumigatus is a major human pathogen that causes hundreds of thousands of infections yearly with high mortality rates. In contrast, Aspergillus fischeri and the recently described Aspergillus oerlinghausenensis, the two species most closely related to A. fumigatus, are not known to be pathogenic. Some of the “cards of virulence” that A. fumigatus possesses are secondary metabolites that impair the host immune system, protect from host immune cell attacks, or acquire key nutrients. Secondary metabolites and the biosynthetic gene clusters (BGCs) that typically encode them often vary within and between fungal species. To gain insight into whether secondary metabolism-associated cards of virulence vary between A. fumigatus, A. oerlinghausenensis, and A. fischeri, we conducted extensive genomic and secondary metabolite profiling analyses. By analyzing multiple A. fumigatus, one A. oerlinghausenensis, and multiple A. fischeri strains, we identified both conserved and diverged secondary metabolism-associated cards of virulence. For example, we found that all species and strains examined biosynthesized the major virulence factor gliotoxin, consistent with the conservation of the gliotoxin BGC across genomes. However, species differed in their biosynthesis of fumagillin and pseurotin, both contributors to host tissue damage during invasive aspergillosis; these differences were reflected in sequence divergence of the intertwined fumagillin/pseurotin BGCs across genomes. These results delineate the similarities and differences in secondary metabolism-associated cards of virulence between a major fungal pathogen and its nonpathogenic closest relatives, shedding light into the genetic and phenotypic changes associated with the evolution of fungal pathogenicity.ImportanceThe major fungal pathogen Aspergillus fumigatus kills tens of thousands each year. In contrast, the two closest relatives of A. fumigatus, namely Aspergillus fischeri and Aspergillus oerlinghausenensis, are not considered pathogenic. A. fumigatus virulence stems, partly, from its ability to produce small molecules called secondary metabolites that have potent activities during infection. In this study, we examined whether A. fumigatus secondary metabolites and the metabolic pathways involved in their production are conserved in A. oerlinghausenensis and A. fischeri. We found that the nonpathogenic close relatives of A. fumigatus produce some, but not all, secondary metabolites thought to contribute to the success of A. fumigatus in causing human disease and that these similarities and differences were reflected in the underlying metabolic pathways involved in their biosynthesis. Compared to its nonpathogenic close relatives, A. fumigatus produces a distinct cocktail of secondary metabolites, which likely contributes to these organisms’ vastly different potentials to cause human disease. More broadly, the study of nonpathogenic organisms that have virulence-related traits, but are not currently considered agents of human disease, may facilitate the prediction of species capable of posing future threats to human health.

scholarly journals Mining and unearthing hidden biosynthetic potential

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Kirstin Scherlach ◽  
Christian Hertweck
Keyword(s):  
Small Molecules ◽  
Genome Mining ◽  
Gene Clusters ◽  
Ecological Interactions ◽  
Biosynthetic Gene ◽  
Biosynthetic Gene Clusters ◽  
Metabolic Potential ◽  
Analytical Tools ◽  
Drug Leads ◽  
Chemical Mediators

AbstractGenetically encoded small molecules (secondary metabolites) play eminent roles in ecological interactions, as pathogenicity factors and as drug leads. Yet, these chemical mediators often evade detection, and the discovery of novel entities is hampered by low production and high rediscovery rates. These limitations may be addressed by genome mining for biosynthetic gene clusters, thereby unveiling cryptic metabolic potential. The development of sophisticated data mining methods and genetic and analytical tools has enabled the discovery of an impressive array of previously overlooked natural products. This review shows the newest developments in the field, highlighting compound discovery from unconventional sources and microbiomes.

scholarly journals De novo genome assembly and analysis unveil biosynthetic and metabolic potentials of Pseudomonas fragi A13BB

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Opeyemi K. Awolope ◽  
Noelle H. O’Driscoll ◽  
Alberto Di Salvo ◽  
Andrew J. Lamb
Keyword(s):  
Plant Growth ◽  
Molecular Mechanisms ◽  
De Novo ◽  
Gc Content ◽  
Gene Clusters ◽  
Genomic Islands ◽  
Biosynthetic Gene ◽  
Biosynthetic Gene Clusters ◽  
Pseudomonas Fragi ◽  
Single Chromosome

Abstract Objectives The role of rhizosphere microbiome in supporting plant growth under biotic stress is well documented. Rhizobacteria ward off phytopathogens through various mechanisms including antibiosis. We sought to recover novel antibiotic-producing bacterial strains from soil samples collected from the rhizosphere. Pseudomonas fragi A13BB was recovered as part of this effort, and the whole genome was sequenced to facilitate mining for potential antibiotic-encoding biosynthetic gene clusters. Data description Here, we report the complete genome sequence of P. fragi A13BB obtained from de novo assembly of Illumina MiSeq and GridION reads. The 4.94 Mb genome consists of a single chromosome with a GC content of 59.40%. Genomic features include 4410 CDSs, 102 RNAs, 3 CRISPR arrays, 3 prophage regions, and 37 predicted genomic islands. Two β-lactone biosynthetic gene clusters were identified; besides, metabolic products of these are known to show antibiotic and/or anticancer properties. A siderophore biosynthetic gene cluster was also identified even though P. fragi is considered a non-siderophore producing pseudomonad. Other gene clusters of broad interest identified include those associated with bioremediation, biocontrol, plant growth promotion, or environmental adaptation. This dataset unveils various un−/underexplored metabolic or biosynthetic potential of P. fragi and provides insight into molecular mechanisms underpinning these attributes.

scholarly journals A Systematic Analysis of Mosquito-Microbiome Biosynthetic Gene Clusters Reveals Antimalarial Siderophores that Reduce Mosquito Reproduction Capacity

2020 ◽  
Author(s):  
Jack G. Ganley ◽  
Ashmita Pandey ◽  
Kayla Sylvester ◽  
Kuan-Yi Lu ◽  
Maria Toro-Moreno ◽  
...  
Keyword(s):  
Small Molecules ◽  
Genetic Manipulation ◽  
Control Strategies ◽  
Gene Clusters ◽  
Blood Feeding ◽  
Biosynthetic Gene ◽  
Biosynthetic Gene Clusters ◽  
Systematic Analysis ◽  
Depth Analysis

ABSTRACTAdvances in infectious disease control strategies through genetic manipulation of insect microbiomes have heightened interest in microbially produced small molecules within mosquitoes. Herein, 33 mosquito-associated bacterial genomes were mined and over 700 putative biosynthetic gene clusters (BGCs) were identified, 135 of which belong to known classes of BGCs. After an in-depth analysis of the 135 BGCs, iron-binding siderophores were chosen for further investigation due to their high abundance and well-characterized bioactivities. Through various metabolomic strategies, eight siderophore scaffolds were identified in six strains of mosquito-associated bacteria. Among these, serratiochelin A and pyochelin were found to reduce female Anopheles gambiae overall fecundity likely by lowering their blood feeding rate. Serratiochelin A and pyochelin were further found to inhibit the Plasmodium parasite asexual blood and liver stages in vitro. Our work supplies a bioinformatic resource for future mosquito microbiome studies and highlights an understudied source of bioactive small molecules.

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.

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