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In silico prediction of polyketide biosynthetic gene clusters in the genomes of Hypericum-borne endophytic fungi
by
Petijová, Linda
, Kuncová, Júlia
, Matoušková, Martina
, Henzelyová, Jana
, Čellárová, Eva
in
Analysis
/ Animal Genetics and Genomics
/ Annotations
/ Anthracenes - metabolism
/ Anthraquinone
/ Anthraquinones
/ Anthraquinones - metabolism
/ Antitumor activity
/ Beta lactamases
/ Bioinformatic analysis
/ Biological activity
/ Biomedical and Life Sciences
/ Biosynthesis
/ Biosynthetic genes
/ Biotechnology
/ Comparative analysis
/ Computational biology
/ Computer Simulation
/ Control
/ Cytochrome P450
/ Cytochrome P450 monooxygenase
/ Cytochromes P450
/ Dimerization
/ Endophytes
/ Endophytes - genetics
/ Endophytes - metabolism
/ Endophytic fungi
/ Enzymes
/ Fungi
/ Fungi - genetics
/ Fusarium oxysporum
/ Gene clusters
/ Genes
/ Genetic aspects
/ Genetic transcription
/ Genome, Fungal
/ Genomes
/ Genomics
/ Health aspects
/ Hypericin
/ Hypericum
/ Hypericum - genetics
/ Hypericum - metabolism
/ Hypericum - microbiology
/ Identification and classification
/ Life Sciences
/ Medicinal plants
/ Metabolites
/ Metallo-β-lactamase
/ Metallography
/ Microarrays
/ Microbial Genetics and Genomics
/ Microorganisms
/ Multigene Family
/ Oxidoreductase
/ Perylene - analogs & derivatives
/ Perylene - metabolism
/ Phylogeny
/ Physiological aspects
/ Plant Genetics and Genomics
/ Polyketide synthase
/ Polyketide Synthases - genetics
/ Polyketides
/ Polyketides - metabolism
/ Protein transport
/ Proteins
/ Proteomics
/ Reductases
/ Transfer RNA
2024
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In silico prediction of polyketide biosynthetic gene clusters in the genomes of Hypericum-borne endophytic fungi
by
Petijová, Linda
, Kuncová, Júlia
, Matoušková, Martina
, Henzelyová, Jana
, Čellárová, Eva
in
Analysis
/ Animal Genetics and Genomics
/ Annotations
/ Anthracenes - metabolism
/ Anthraquinone
/ Anthraquinones
/ Anthraquinones - metabolism
/ Antitumor activity
/ Beta lactamases
/ Bioinformatic analysis
/ Biological activity
/ Biomedical and Life Sciences
/ Biosynthesis
/ Biosynthetic genes
/ Biotechnology
/ Comparative analysis
/ Computational biology
/ Computer Simulation
/ Control
/ Cytochrome P450
/ Cytochrome P450 monooxygenase
/ Cytochromes P450
/ Dimerization
/ Endophytes
/ Endophytes - genetics
/ Endophytes - metabolism
/ Endophytic fungi
/ Enzymes
/ Fungi
/ Fungi - genetics
/ Fusarium oxysporum
/ Gene clusters
/ Genes
/ Genetic aspects
/ Genetic transcription
/ Genome, Fungal
/ Genomes
/ Genomics
/ Health aspects
/ Hypericin
/ Hypericum
/ Hypericum - genetics
/ Hypericum - metabolism
/ Hypericum - microbiology
/ Identification and classification
/ Life Sciences
/ Medicinal plants
/ Metabolites
/ Metallo-β-lactamase
/ Metallography
/ Microarrays
/ Microbial Genetics and Genomics
/ Microorganisms
/ Multigene Family
/ Oxidoreductase
/ Perylene - analogs & derivatives
/ Perylene - metabolism
/ Phylogeny
/ Physiological aspects
/ Plant Genetics and Genomics
/ Polyketide synthase
/ Polyketide Synthases - genetics
/ Polyketides
/ Polyketides - metabolism
/ Protein transport
/ Proteins
/ Proteomics
/ Reductases
/ Transfer RNA
2024
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In silico prediction of polyketide biosynthetic gene clusters in the genomes of Hypericum-borne endophytic fungi
by
Petijová, Linda
, Kuncová, Júlia
, Matoušková, Martina
, Henzelyová, Jana
, Čellárová, Eva
in
Analysis
/ Animal Genetics and Genomics
/ Annotations
/ Anthracenes - metabolism
/ Anthraquinone
/ Anthraquinones
/ Anthraquinones - metabolism
/ Antitumor activity
/ Beta lactamases
/ Bioinformatic analysis
/ Biological activity
/ Biomedical and Life Sciences
/ Biosynthesis
/ Biosynthetic genes
/ Biotechnology
/ Comparative analysis
/ Computational biology
/ Computer Simulation
/ Control
/ Cytochrome P450
/ Cytochrome P450 monooxygenase
/ Cytochromes P450
/ Dimerization
/ Endophytes
/ Endophytes - genetics
/ Endophytes - metabolism
/ Endophytic fungi
/ Enzymes
/ Fungi
/ Fungi - genetics
/ Fusarium oxysporum
/ Gene clusters
/ Genes
/ Genetic aspects
/ Genetic transcription
/ Genome, Fungal
/ Genomes
/ Genomics
/ Health aspects
/ Hypericin
/ Hypericum
/ Hypericum - genetics
/ Hypericum - metabolism
/ Hypericum - microbiology
/ Identification and classification
/ Life Sciences
/ Medicinal plants
/ Metabolites
/ Metallo-β-lactamase
/ Metallography
/ Microarrays
/ Microbial Genetics and Genomics
/ Microorganisms
/ Multigene Family
/ Oxidoreductase
/ Perylene - analogs & derivatives
/ Perylene - metabolism
/ Phylogeny
/ Physiological aspects
/ Plant Genetics and Genomics
/ Polyketide synthase
/ Polyketide Synthases - genetics
/ Polyketides
/ Polyketides - metabolism
/ Protein transport
/ Proteins
/ Proteomics
/ Reductases
/ Transfer RNA
2024
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In silico prediction of polyketide biosynthetic gene clusters in the genomes of Hypericum-borne endophytic fungi
Journal Article
In silico prediction of polyketide biosynthetic gene clusters in the genomes of Hypericum-borne endophytic fungi
2024
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Overview
Background
The search for new bioactive natural compounds with anticancer activity is still of great importance. Even though their potential for diagnostics and treatment of cancer has already been proved, the availability is still limited. Hypericin, a naphthodianthrone isolated essentially from plant source
Hypericum perforatum
L. along with other related anthraquinones and bisanthraquinones belongs to this group of compounds. Although it has been proven that hypericin is synthesized by the polyketide pathway in plants, none of the candidate genes coding for key enzymes has been experimentally validated yet. Despite the rare occurrence of anthraquinones in plants, their presence in microorganisms, including endophytic fungi, is quite common. Unlike plants, several biosynthetic genes grouped into clusters (BGCs) in fungal endophytes have already been characterized.
Results
The aim of this work was to predict, identify and characterize the anthraquinone BGCs in de novo assembled and functionally annotated genomes of selected endophytic fungal isolates (
Fusarium oxysporum, Plectosphaerella cucumerina, Scedosporium apiospermum, Diaporthe eres, Canariomyces subthermophilus
) obtained from different tissues of
Hypericum
spp. The number of predicted type I polyketide synthase (PKS) BGCs in the studied genomes varied. The non-reducing type I PKS lacking thioesterase domain and adjacent discrete gene encoding protein with product release function were identified only in the genomes of
C. subthermophilus
and
D.
eres
. A candidate bisanthraquinone BGC was predicted in
C.
subthermophilus
genome and comprised genes coding the enzymes that catalyze formation of the basic anthraquinone skeleton (PKS, metallo-beta-lactamase, decarboxylase, anthrone oxygenase), putative dimerization enzyme (cytochrome P450 monooxygenase), other tailoring enzymes (oxidoreductase, dehydrogenase/reductase), and non-catalytic proteins (fungal transcription factor, transporter protein).
Conclusions
The results provide an insight into genetic background of anthraquinone biosynthesis in
Hypericum
-borne endophytes. The predicted bisanthraquinone gene cluster represents a basis for functional validation of the candidate biosynthetic genes in a simple eukaryotic system as a prospective biotechnological alternative for production of hypericin and related bioactive anthraquinones.
Publisher
BioMed Central,BioMed Central Ltd,Springer Nature B.V,BMC
Subject
/ Animal Genetics and Genomics
/ Biomedical and Life Sciences
/ Control
/ Cytochrome P450 monooxygenase
/ Enzymes
/ Fungi
/ Genes
/ Genomes
/ Genomics
/ Identification and classification
/ Microbial Genetics and Genomics
/ Perylene - analogs & derivatives
/ Polyketide Synthases - genetics
/ Proteins
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