scholarly journals Identification of Secondary Metabolites from Aspergillus pachycristatus by Untargeted UPLC-ESI-HRMS/MS and Genome Mining

Molecules ◽  
2020 ◽  
Vol 25 (4) ◽  
pp. 913
Author(s):  
Bruno Perlatti ◽  
Nan Lan ◽  
Yongying Jiang ◽  
Zhiqiang An ◽  
Gerald Bills
Keyword(s):  
Secondary Metabolites ◽  
Secondary Metabolism ◽  
Genome Mining ◽  
Model Organism ◽  
Gene Clusters ◽  
Global Regulator ◽  
Metabolic Diversity ◽  
Echinocandin B ◽  
Regulator Genes ◽  
Encoding Genes

Aspergillus pachycristatus is an industrially important fungus for the production of the antifungal echinocandin B and is closely related to model organism A. nidulans. Its secondary metabolism is largely unknown except for the production of echinocandin B and sterigmatocystin. We constructed mutants for three genes that regulate secondary metabolism in A. pachycristatus NRRL 11440, and evaluated the secondary metabolites produced by wild type and mutants strains. The secondary metabolism was explored by metabolic networking of UPLC-HRMS/MS data. The genes and metabolites of A. pachycristatus were compared to those of A. nidulans FGSC A4 as a reference to identify compounds and link them to their encoding genes. Major differences in chromatographic profiles were observable among the mutants. At least 28 molecules were identified in crude extracts that corresponded to nine characterized gene clusters. Moreover, metabolic networking revealed the presence of a yet unexplored array of secondary metabolites, including several undescribed fellutamides derivatives. Comparative reference to its sister species, A. nidulans, was an efficient way to dereplicate known compounds, whereas metabolic networking provided information that allowed prioritization of unknown compounds for further metabolic exploration. The mutation of global regulator genes proved to be a useful tool for expanding the expression of metabolic diversity in A. pachycristatus.

scholarly journals IMG-ABC: A Knowledge Base To Fuel Discovery of Biosynthetic Gene Clusters and Novel Secondary Metabolites

mBio ◽  
2015 ◽  
Vol 6 (4) ◽  
Author(s):  
Michalis Hadjithomas ◽  
I-Min Amy Chen ◽  
Ken Chu ◽  
Anna Ratner ◽  
Krishna Palaniappan ◽  
...  
Keyword(s):  
Secondary Metabolites ◽  
Secondary Metabolism ◽  
Genomic Data ◽  
Gene Clusters ◽  
Metagenomic Data ◽  
Integrated Analysis ◽  
Analysis Tool ◽  
Biosynthetic Gene ◽  
Biosynthetic Gene Clusters ◽  
Analysis Tools

ABSTRACTIn the discovery of secondary metabolites, analysis of sequence data is a promising exploration path that remains largely underutilized due to the lack of computational platforms that enable such a systematic approach on a large scale. In this work, we present IMG-ABC (https://img.jgi.doe.gov/abc), an atlas of biosynthetic gene clusters within the Integrated Microbial Genomes (IMG) system, which is aimed at harnessing the power of “big” genomic data for discovering small molecules. IMG-ABC relies on IMG's comprehensive integrated structural and functional genomic data for the analysis of biosynthetic gene clusters (BCs) and associated secondary metabolites (SMs). SMs and BCs serve as the two main classes of objects in IMG-ABC, each with a rich collection of attributes. A unique feature of IMG-ABC is the incorporation of both experimentally validated and computationally predicted BCs in genomes as well as metagenomes, thus identifying BCs in uncultured populations and rare taxa. We demonstrate the strength of IMG-ABC's focused integrated analysis tools in enabling the exploration of microbial secondary metabolism on a global scale, through the discovery of phenazine-producing clusters for the first time inAlphaproteobacteria. IMG-ABC strives to fill the long-existent void of resources for computational exploration of the secondary metabolism universe; its underlying scalable framework enables traversal of uncovered phylogenetic and chemical structure space, serving as a doorway to a new era in the discovery of novel molecules.IMPORTANCEIMG-ABC is the largest publicly available database of predicted and experimental biosynthetic gene clusters and the secondary metabolites they produce. The system also includes powerful search and analysis tools that are integrated with IMG's extensive genomic/metagenomic data and analysis tool kits. As new research on biosynthetic gene clusters and secondary metabolites is published and more genomes are sequenced, IMG-ABC will continue to expand, with the goal of becoming an essential component of any bioinformatic exploration of the secondary metabolism world.

scholarly journals Characterizing the Pathogenic, Genomic, and Chemical Traits ofAspergillus fischeri, a Close Relative of the Major Human Fungal PathogenAspergillus fumigatus

mSphere ◽  
2019 ◽  
Vol 4 (1) ◽  
Author(s):  
Matthew E. Mead ◽  
Sonja L. Knowles ◽  
Huzefa A. Raja ◽  
Sarah R. Beattie ◽  
Caitlin H. Kowalski ◽  
...  
Keyword(s):  
Secondary Metabolites ◽  
Aspergillus Fumigatus ◽  
Secondary Metabolism ◽  
Human Disease ◽  
Chemical Characterization ◽  
Gene Clusters ◽  
Invasive Disease ◽  
Close Relative ◽  
Low Oxygen ◽  
Content Type

ABSTRACTAspergillus fischeriis closely related toAspergillus fumigatus, the major cause of invasive mold infections. Even thoughA. fischeriis commonly found in diverse environments, including hospitals, it rarely causes invasive disease. WhyA. fischericauses less human disease thanA. fumigatusis unclear. A comparison ofA. fischeriandA. fumigatusfor pathogenic, genomic, and secondary metabolic traits revealed multiple differences in pathogenesis-related phenotypes. We observed thatA. fischeriNRRL 181 is less virulent thanA. fumigatusstrain CEA10 in multiple animal models of disease, grows slower in low-oxygen environments, and is more sensitive to oxidative stress. Strikingly, the observed differences for some traits are of the same order of magnitude as those previously reported betweenA. fumigatusstrains. In contrast, similar to what has previously been reported, the two species exhibit high genomic similarity; ∼90% of theA. fumigatusproteome is conserved inA. fischeri, including 48/49 genes known to be involved inA. fumigatusvirulence. However, only 10/33A. fumigatusbiosynthetic gene clusters (BGCs) likely involved in secondary metabolite production are conserved inA. fischeriand only 13/48A. fischeriBGCs are conserved inA. fumigatus. Detailed chemical characterization ofA. fischericultures grown on multiple substrates identified multiple secondary metabolites, including two new compounds and one never before isolated as a natural product. Additionally, anA. fischerideletion mutant oflaeA, a master regulator of secondary metabolism, produced fewer secondary metabolites and in lower quantities, suggesting that regulation of secondary metabolism is at least partially conserved. These results suggest that the nonpathogenicA. fischeripossesses many of the genes important forA. fumigatuspathogenicity but is divergent with respect to its ability to thrive under host-relevant conditions and its secondary metabolism.IMPORTANCEAspergillus fumigatusis the primary cause of aspergillosis, a devastating ensemble of diseases associated with severe morbidity and mortality worldwide.A. fischeriis a close relative ofA. fumigatusbut is not generally observed to cause human disease. To gain insights into the underlying causes of this remarkable difference in pathogenicity, we compared two representative strains (one from each species) for a range of pathogenesis-relevant biological and chemical characteristics. We found that disease progression in multipleA. fischerimouse models was slower and caused less mortality thanA. fumigatus. Remarkably, the observed differences betweenA. fischeriandA. fumigatusstrains examined here closely resembled those previously described for two commonly studiedA. fumigatusstrains, AF293 and CEA10.A. fischeriandA. fumigatusexhibited different growth profiles when placed in a range of stress-inducing conditions encountered during infection, such as low levels of oxygen and the presence of chemicals that induce the production of reactive oxygen species. We also found that the vast majority ofA. fumigatusgenes known to be involved in virulence are conserved inA. fischeri, whereas the two species differ significantly in their secondary metabolic pathways. These similarities and differences that we report here are the first step toward understanding the evolutionary origin of a major fungal pathogen.

scholarly journals Genomic and Metabolomic Analysis of Antarctic Bacteria Revealed Culture and Elicitation Conditions for the Production of Antimicrobial Compounds

Biomolecules ◽  
2020 ◽  
Vol 10 (5) ◽  
pp. 673
Author(s):  
Kattia Núñez-Montero ◽  
Damián Quezada-Solís ◽  
Zeinab G. Khalil ◽  
Robert J. Capon ◽  
Fernando D. Andreote ◽  
...  
Keyword(s):  
Antibacterial Activity ◽  
Secondary Metabolites ◽  
Culture Media ◽  
Genome Mining ◽  
Gene Clusters ◽  
Culture Conditions ◽  
Bioactive Metabolites ◽  
Bacterial Strains ◽  
Antarctic Bacteria ◽  
New Antibiotics

Concern about finding new antibiotics against drug-resistant pathogens is increasing every year. Antarctic bacteria have been proposed as an unexplored source of bioactive metabolites; however, most biosynthetic gene clusters (BGCs) producing secondary metabolites remain silent under common culture conditions. Our work aimed to characterize elicitation conditions for the production of antibacterial secondary metabolites from 34 Antarctic bacterial strains based on MS/MS metabolomics and genome mining approaches. Bacterial strains were cultivated under different nutrient and elicitation conditions, including the addition of lipopolysaccharide (LPS), sodium nitroprusside (SNP), and coculture. Metabolomes were obtained by HPLC-QTOF-MS/MS and analyzed through molecular networking. Antibacterial activity was determined, and seven strains were selected for genome sequencing and analysis. Biosynthesis pathways were activated by all the elicitation treatments, which varies among strains and dependents of culture media. Increased antibacterial activity was observed for a few strains and addition of LPS was related with inhibition of Gram-negative pathogens. Antibiotic BGCs were found for all selected strains and the expressions of putative actinomycin, carotenoids, and bacillibactin were characterized by comparison of genomic and metabolomic data. This work established the use of promising new elicitors for bioprospection of Antarctic bacteria and highlights the importance of new “-omics” comparative approaches for drug discovery.

scholarly journals Genome mining of a marine-derived Streptomyces sp. PDH23 isolated from sponge in Da Nang sea for secondary metabolite gene clusters

2021 ◽  
Vol 18 (4) ◽  
pp. 709-721
Author(s):  
Le Ngoc Giang ◽  
Le Thi Hong Minh ◽  
Vu Thi Quyen ◽  
Nguyen Mai Anh ◽  
Nguyen Thi Kim Cuc ◽  
...  
Keyword(s):  
Secondary Metabolites ◽  
Antimicrobial Agents ◽  
Biological Activities ◽  
Wide Spectrum ◽  
Genome Mining ◽  
Gc Content ◽  
Gene Clusters ◽  
Gram Positive ◽  
16S Rrna Analysis ◽  
Streptomyces Sp

The streptomyces is one of the best characterized ubiquitous filamentous bacteria from the actinobacteriaclass. They are known to produce thousands of specialized metabolite biosynthesis gene clusters (SMBG). Their SMBG clusters have multiple activities ranging from antimicrobial, antitumor, antiviral and probiotic. Streptomyces strain and their isolates with interesting biological activities against gram-positive and gram-negative indicator strains was recently characterised. Currently, they are employed in more than half of all antibiotics used in human and veterinary medicine. With the increase in drug resistance bacteria, it is important to mine for new natural chemicals.In this study, screening via disk-diffusion agar method revealed that Streptomyces sp. PDH23 isolated from the Rhabdastrellaglobostellata marine sponge sample from Da Nang, Vietnam produce antimicrobial agents with a wide spectrum of activities. This species can produce highly active enzymes, which breakdown celluloses, amyloses and proteins. On top of that they are shown to restrict the grow of the gram positive Bacillus cereus ATCC14579 (BC), Staphylococcus aureus ATCC25923 (SA), the gram-negativeVibrio parahaemolyticus ATCC17802 (VP) and the Candida albicans ATCC10231 fungus (CA). They are antimethicillin-resistant S. aureus(MRSA) ATCC33591 andmethicillin-resistantS. epidermidis (MRSE) ATCC35984. The taxonomy of PDH23 was characterized using 16S rRNA analysis. Whole genome sequencing of PDH23 showed 8594820 base pairs with GC content of 72.03%. Mining of secondary metabolites reveals gene clusters responsible for the biosynthesis of known and/or novel secondary metabolites, including different types of terpene, NRPS-like , PKS, PKS-like, hglE-KS, betalactone, melanin, t1pks, t2pks, t3pks, nrps, indole, siderophore, bacteriocin, ectoine, butyrolactone, phenazine.

scholarly journals Genome mining and UHPLC-MS/MS illuminate the specificity of secondary metabolite synthetic gene clusters in Bacillus subtilis NCD-2

2020 ◽  
Author(s):  
Zhenhe Su ◽  
Xiuye Chen ◽  
Xiaomeng Liu ◽  
Qinggang Guo ◽  
Shezeng Li ◽  
...  
Keyword(s):  
Bacillus Subtilis ◽  
Secondary Metabolites ◽  
Secondary Metabolite ◽  
Biological Activities ◽  
Genome Mining ◽  
Gene Clusters ◽  
Synthetic Gene ◽  
Integrative Approach ◽  
Amino Acid Sequence Similarity ◽  
Genetic Characteristics

Abstract Background Bacillus subtilisstrain NCD-2 is anexcellent biocontrol agent against plant soil-borne diseases and shows broad-spectrum antifungal activities. This study aimed to explore all the secondary metabolite synthetic gene clusters and related bioactive compounds in NCD-2. An integrative approach, which coupled genome mining with structural identification technologies using ultra-high-performance liquid chromatography coupled to quadrupole time-of-flight tandem mass spectrometry (UHPLC-MS/MS), was conducted to interpret the chemical origins of the significant biological activities in NCD-2. Results Genome mining revealed that NCD-2 contained nine gene clustershaving predicted functionsinvolving secondary metabolites with bioactive abilities. They encoded six known products-fengycin, surfactin, bacillaene, subtilosin, bacillibactin, and bacilysin-as well as three unknown products.Interestingly, the synthetic gene clusters for surfactin and fengycin showed 83% and 92% amino acid sequence similarity levels with the corresponding productsin Bacillus velezensisstrain FZB42. A further comparison of gene clusters encoding fengycin and surfactinrevealed that strain NCD-2 had lost thefenC and fenDgenes in the fengycinbiosynthetic operon, and that the surfactin synthetic enzyme-related gene srfAB was divided into two parts.Abioinformatics analysis showed that fenEAmay function as fenCD in synthesizing fengycinand that the structure of thisfengycin synthetic gene clusteris likely unique to NCD-2.Five kinds of fengycin,with 26 homologs, and surfactin,with 4 homologs,were detectedfrom strain NCD-2, which indicated the non-typical and unique nature of this fengycin biosynthetic gene cluster.To the best of our knowledge, this is the first report of a non-typical gene cluster related to fengycin synthesis. Conclusions The data provide the genetic characteristics of secondary metabolite synthetic gene clusters for fengycinand surfactin in B. subtilis NCD-2, including the unique synthetic mechanism for fengycin, and suggest that bioactive secondary metabolites explain the biological activities of NCD-2.

scholarly journals A global survey of specialized metabolic diversity encoded in bacterial genomes

2021 ◽  
Author(s):  
Athina Gavriilidou ◽  
Satria A Kautsar ◽  
Nestor Zaburannyi ◽  
Daniel Krug ◽  
Rolf Mueller ◽  
...  
Keyword(s):  
Secondary Metabolites ◽  
Evolutionary History ◽  
Gene Clusters ◽  
Chemical Diversity ◽  
Metabolic Diversity ◽  
Bacterial Genomes ◽  
Biosynthetic Gene Clusters ◽  
Taxonomic Rank ◽  
New Antibiotics ◽  
Biosynthetic Machinery

Bacterial secondary metabolites have been studied for decades for their usefulness as drugs, such as antibiotics. However, the identification of new structures has been decelerating, in part due to rediscovery of known compounds. Meanwhile, multi-resistant pathogens continue to emerge, urging the need for new antibiotics. It is unclear how much chemical diversity exists in Nature and whether discovery efforts should be focused on established antibiotic producers or rather on understudied taxa. Here, we surveyed around 170,000 bacterial genomes as well as several thousands of Metagenome Assembled Genomes (MAGs) for their diversity in Biosynthetic Gene Clusters (BGCs) known to encode the biosynthetic machinery for producing secondary metabolites. We used two distinct algorithms to provide a global overview of the biosynthetic diversity present in the sequenced part of the bacterial kingdom. Our results indicate that only 3% of genomic potential for natural products has been experimentally discovered. We connect the emergence of most biosynthetic diversity in evolutionary history close to the taxonomic rank of genus. Despite enormous differences in potential among taxa, we identify Streptomyces as by far the most biosynthetically diverse based on currently available data. Simultaneously, our analysis highlights multiple promising high-producing taxas that have thus far escaped investigation.

scholarly journals IMG-ABC v.5.0: an update to the IMG/Atlas of Biosynthetic Gene Clusters Knowledgebase

2019 ◽  
Author(s):  
Krishnaveni Palaniappan ◽  
I-Min A Chen ◽  
Ken Chu ◽  
Anna Ratner ◽  
Rekha Seshadri ◽  
...  
Keyword(s):  
Secondary Metabolites ◽  
Secondary Metabolism ◽  
Gene Clusters ◽  
Biosynthetic Gene ◽  
Biosynthetic Gene Clusters ◽  
Microbial Genomes ◽  
Initial Release ◽  
Systematic Identification ◽  
Biomedical Potential ◽  
Biosynthetic Machinery

Abstract Microbial secondary metabolism is a reservoir of bioactive compounds of immense biotechnological and biomedical potential. The biosynthetic machinery responsible for the production of these secondary metabolites (SMs) (also called natural products) is often encoded by collocated groups of genes called biosynthetic gene clusters (BGCs). High-throughput genome sequencing of both isolates and metagenomic samples combined with the development of specialized computational workflows is enabling systematic identification of BGCs and the discovery of novel SMs. In order to advance exploration of microbial secondary metabolism and its diversity, we developed the largest publicly available database of predicted BGCs combined with experimentally verified BGCs, the Integrated Microbial Genomes Atlas of Biosynthetic gene Clusters (IMG-ABC) (https://img.jgi.doe.gov/abc-public). Here we describe the first major content update of the IMG-ABC knowledgebase, since its initial release in 2015, refreshing the BGC prediction pipeline with the latest version of antiSMASH (v5) as well as presenting the data in the context of underlying environmental metadata sourced from GOLD (https://gold.jgi.doe.gov/). This update has greatly improved the quality and expanded the types of predicted BGCs compared to the previous version.

scholarly journals Variation Among Biosynthetic Gene Clusters, Secondary Metabolite Profiles, and Cards of Virulence Across Aspergillus Species

Genetics ◽  
2020 ◽  
Vol 216 (2) ◽  
pp. 481-497 ◽  
Author(s):  
Jacob L. Steenwyk ◽  
Matthew E. Mead ◽  
Sonja L. Knowles ◽  
Huzefa A. Raja ◽  
Christopher D. Roberts ◽  
...  
Keyword(s):  
Secondary Metabolites ◽  
Secondary Metabolism ◽  
Secondary Metabolite ◽  
Immune Cell ◽  
Sequence Divergence ◽  
Gene Clusters ◽  
Biosynthetic Gene Cluster ◽  
Host Immune System ◽  
Biosynthetic Gene ◽  
Genetic Determinants

Aspergillus fumigatus is a major human pathogen. 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 genetic determinants of virulence (or “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. To examine whether secondary metabolism-associated cards of virulence vary between these species, we conducted extensive genomic and secondary metabolite profiling analyses of multiple A. fumigatus, one A. oerlinghausenensis, and multiple A. fischeri strains. We identified two cards of virulence (gliotoxin and fumitremorgin) shared by all three species and three cards of virulence (trypacidin, pseurotin, and fumagillin) that are variable. For example, we found that all species and strains examined biosynthesized gliotoxin, which is known to contribute to virulence, consistent with the conservation of the gliotoxin biosynthetic gene cluster (BGC) across genomes. For other secondary metabolites, such as fumitremorgin, a modulator of host biology, we found that all species produced the metabolite but that there was strain heterogeneity in its production within species. Finally, species differed in their biosynthesis of fumagillin and pseurotin, both contributors to host tissue damage during invasive aspergillosis. A. fumigatus biosynthesized fumagillin and pseurotin, while A. oerlinghausenensis biosynthesized fumagillin and A. fischeri biosynthesized neither. These biochemical 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 onto the genetic and phenotypic changes associated with the evolution of fungal pathogenicity.

scholarly journals Genome, Transcriptome, and Functional Analyses of Penicillium expansum Provide New Insights Into Secondary Metabolism and Pathogenicity

2015 ◽  
Vol 28 (3) ◽  
pp. 232-248 ◽  
Author(s):  
Ana-Rosa Ballester ◽  
Marina Marcet-Houben ◽  
Elena Levin ◽  
Noa Sela ◽  
Cristina Selma-Lázaro ◽  
...  
Keyword(s):  
Secondary Metabolites ◽  
Secondary Metabolism ◽  
Plant Pathogens ◽  
Citrus Fruit ◽  
Genomic Analysis ◽  
Pathogenic Fungi ◽  
Gene Clusters ◽  
Penicillium Expansum ◽  
Pome Fruit ◽  
Penicillium Species

The relationship between secondary metabolism and infection in pathogenic fungi has remained largely elusive. The genus Penicillium comprises a group of plant pathogens with varying host specificities and with the ability to produce a wide array of secondary metabolites. The genomes of three Penicillium expansum strains, the main postharvest pathogen of pome fruit, and one Pencillium italicum strain, a postharvest pathogen of citrus fruit, were sequenced and compared with 24 other fungal species. A genomic analysis of gene clusters responsible for the production of secondary metabolites was performed. Putative virulence factors in P. expansum were identified by means of a transcriptomic analysis of apple fruits during the course of infection. Despite a major genome contraction, P. expansum is the Penicillium species with the largest potential for the production of secondary metabolites. Results using knockout mutants clearly demonstrated that neither patulin nor citrinin are required by P. expansum to successfully infect apples. Li et al. ( MPMI-12-14-0398-FI ) reported similar results and conclusions in MPMI's June 2015 issue.

scholarly journals Dynamical modelling of secondary metabolism and metabolic switches in Streptomyces xiamenensis 318

2019 ◽  
Vol 6 (4) ◽  
pp. 190418 ◽  
Author(s):  
Xiao-Mei Zhu ◽  
Xing-Xing Zhang ◽  
Run-Tan Cheng ◽  
He-Lin Yu ◽  
Ruo-Shi Yuan ◽  
...  
Keyword(s):  
Secondary Metabolites ◽  
Metabolic Network ◽  
Secondary Metabolism ◽  
Metabolic Profiling ◽  
Model Organism ◽  
Metabolic Stability ◽  
Acetyl Coa ◽  
Metabolic Modelling ◽  
Integrated Studies ◽  
Metabolic Fitness

The production of secondary metabolites, while important for bioengineering purposes, presents a paradox in itself. Though widely existing in plants and bacteria, they have no definite physiological roles. Yet in both native habitats and laboratories, their production appears robust and follows apparent metabolic switches. We show in this work that the enzyme-catalysed process may improve the metabolic stability of the cells. The latter can be responsible for the overall metabolic behaviours such as dynamic metabolic landscape, metabolic switches and robustness, which can in turn affect the genetic formation of the organism in question. Mangrove-derived Streptomyces xiamenensis 318, with a relatively compact genome for secondary metabolism, is used as a model organism in our investigation. Integrated studies via kinetic metabolic modelling, transcriptase measurements and metabolic profiling were performed on this strain. Our results demonstrate that the secondary metabolites increase the metabolic fitness of the organism via stabilizing the underlying metabolic network. And the fluxes directing to NADH, NADPH, acetyl-CoA and glutamate provide the key switches for the overall and secondary metabolism. The information may be helpful for improving the xiamenmycin production on the strain.

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