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1.
J Nat Prod ; 84(8): 2070-2080, 2021 08 27.
Article in English | MEDLINE | ID: mdl-34292732

ABSTRACT

The plant pathogenic fungus Fusarium graminearum is known to produce a wide array of secondary metabolites during plant infection. This includes several nonribosomal peptides. Recently, the fusaoctaxin (NRPS5/9) and gramilin (NRPS8) gene clusters were shown to be induced by host interactions. To widen our understanding of this important pathogen, we investigated the involvement of the NRPS4 gene cluster during infection and oxidative and osmotic stress. Overexpression of NRPS4 led to the discovery of a new cyclic hexapeptide, fusahexin (1), with the amino acid sequence cyclo-(d-Ala-l-Leu-d-allo-Thr-l-Pro-d-Leu-l-Leu). The structural analyses revealed an unusual ether bond between a proline Cδ to Cß of the preceding threonine resulting in an oxazine ring system. The comparative genomic analyses showed that the small gene cluster only encodes an ABC transporter in addition to the five-module nonribosomal peptide synthetase (NRPS). Based on the structure of fusahexin and the domain architecture of NRPS4, we propose a biosynthetic model in which the terminal module is used to incorporate two leucine units. So far, iterative use of NRPS modules has primarily been described for siderophore synthetases, which makes NRPS4 a rare example of a fungal nonsiderophore NRPS with distinct iterative module usage.


Subject(s)
Fungal Proteins/metabolism , Fusarium/enzymology , Peptide Synthases/metabolism , Peptides/metabolism , Amino Acid Sequence , Cluster Analysis , Computational Biology , Fungal Proteins/genetics , Fusarium/genetics , Molecular Structure , Multigene Family , Peptide Synthases/genetics , Triticum/microbiology
2.
Bioinformatics ; 32(3): 325-9, 2016 Feb 01.
Article in English | MEDLINE | ID: mdl-26471456

ABSTRACT

MOTIVATION: By using a class of large modular enzymes known as Non-Ribosomal Peptide Synthetases (NRPS), bacteria and fungi are capable of synthesizing a large variety of secondary metabolites, many of which are bioactive and have potential, pharmaceutical applications as e.g. antibiotics. There is thus an interest in predicting the compound synthesized by an NRPS from its primary structure (amino acid sequence) alone, as this would enable an in silico search of whole genomes for NRPS enzymes capable of synthesizing potentially useful compounds. RESULTS: NRPS synthesis happens in a conveyor belt-like fashion where each individual NRPS module is responsible for incorporating a specific substrate (typically an amino acid) into the final product. Here, we present a new method for predicting substrate specificities of individual NRPS modules based on occurrences of motifs in their primary structures. We compare our classifier with existing methods and discuss possible biological explanations of how the motifs might relate to substrate specificity. AVAILABILITY AND IMPLEMENTATION: SEQL-NRPS is available as a web service implemented in Python with Flask at http://services.birc.au.dk/seql-nrps and source code available at https://bitbucket.org/dansondergaard/seql-nrps/. CONTACT: micknudsen@gmail.com or cstorm@birc.au.dk SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.


Subject(s)
Bacteria/enzymology , Fungi/enzymology , Peptide Synthases/chemistry , Sequence Analysis, Protein/methods , Amino Acid Motifs , Computer Simulation , Peptide Synthases/metabolism , Substrate Specificity
3.
Curr Genet ; 62(4): 799-807, 2016 Nov.
Article in English | MEDLINE | ID: mdl-26936154

ABSTRACT

Sansalvamide is a cyclic pentadepsipeptide produced by Fusarium solani and has shown promising results as potential anti-cancer drug. The biosynthetic pathway has until now remained unidentified, but here we used an Agrobacterium tumefaciens-mediated transformation (ATMT) approach to generate knockout mutants of two candidate non-ribosomal peptide synthetases (NRPS29 and NRPS30). Comparative studies of secondary metabolites in the two deletion mutants and wild type confirmed the absence of sansalvamide in the NRPS30 deletion mutant, implicating this synthetase in the biosynthetic pathway for sansalvamide. Sansalvamide is structurally related to the cyclic hexadepsipeptide destruxin, which both contain an α-hydroxyisocaproic acid (HICA) unit. A gene cluster responsible for destruxin production has previously been identified in Metarhizium robertsii together with a hypothetical biosynthetic pathway. Using comparative bioinformatic analyses of the catalytic domains in the destruxin and sansalvamide NRPSs, we were able to propose a model for sansalvamide biosynthesis. Orthologues of the gene clusters were also identified in species from several other genera including Acremonium chrysogenum and Trichoderma virens, which suggests that the ability to produce compounds related to destruxin and sansalvamide is widespread.


Subject(s)
Depsipeptides/biosynthesis , Depsipeptides/pharmacology , Fusarium/genetics , Fusarium/metabolism , Peptide Synthases/genetics , Peptide Synthases/metabolism , Antineoplastic Agents , Depsipeptides/chemistry , Gene Expression Regulation, Fungal , Genome, Fungal , Metabolome , Metabolomics , Models, Biological , Multigene Family , Phylogeny , Secondary Metabolism , Sequence Deletion , Transcription, Genetic
4.
Fungal Genet Biol ; 75: 20-9, 2015 Feb.
Article in English | MEDLINE | ID: mdl-25543026

ABSTRACT

Members of the genus Fusarium produce a plethora of bioactive secondary metabolites, which can be harmful to humans and animals or have potential in drug development. In this study we have performed comparative analyses of polyketide synthases (PKSs) and non-ribosomal peptide synthetases (NRPSs) from ten different Fusarium species including F. graminearum (two strains), F. verticillioides, F. solani, F. culmorum, F. pseudograminearum, F. fujikuroi, F. acuminatum, F. avenaceum, F. equiseti, and F. oxysporum (12 strains). This led to identification of 52 NRPS and 52 PKSs orthology groups, respectively, and although not all PKSs and NRPSs are assumed to be intact or functional, the analyses illustrate the huge secondary metabolite potential in Fusarium. In our analyses we identified a core collection of eight NRPSs (NRPS2-4, 6, 10-13) and two PKSs (PKS3 and PKS7) that are conserved in all strains analyzed in this study. The identified PKSs and NRPSs were named based on a previously developed classification system (www.FusariumNRPSPKS.dk). We suggest this system be used when PKSs and NRPSs have to be classified in future sequenced Fusarium strains. This system will facilitate identification of orthologous and non-orthologous NRPSs and PKSs from newly sequenced Fusarium genomes and will aid the scientific community by providing a common nomenclature for these two groups of genes/enzymes.


Subject(s)
Fusarium/genetics , Peptide Synthases/classification , Peptide Synthases/genetics , Polyketide Synthases/classification , Polyketide Synthases/genetics , Fungal Proteins/chemistry , Fungal Proteins/classification , Fungal Proteins/genetics , Fusarium/chemistry , Fusarium/classification , Fusarium/enzymology , Genes, Fungal , Phylogeny , Terminology as Topic
5.
J Biol Chem ; 287(50): 42361-72, 2012 Dec 07.
Article in English | MEDLINE | ID: mdl-23093408

ABSTRACT

Antimicrobial peptides are a new class of antibiotics that are promising for pharmaceutical applications because they have retained efficacy throughout evolution. One class of antimicrobial peptides are the defensins, which have been found in different species. Here we describe a new fungal defensin, eurocin. Eurocin acts against a range of Gram-positive human pathogens but not against Gram-negative bacteria. Eurocin consists of 42 amino acids, forming a cysteine-stabilized α/ß-fold. The thermal denaturation data point shows the disulfide bridges being responsible for the stability of the fold. Eurocin does not form pores in cell membranes at physiologically relevant concentrations; it does, however, lead to limited leakage of a fluorophore from small unilamellar vesicles. Eurocin interacts with detergent micelles, and it inhibits the synthesis of cell walls by binding equimolarly to the cell wall precursor lipid II.


Subject(s)
Anti-Infective Agents/chemistry , Defensins/chemistry , Eurotium/chemistry , Fungal Proteins/chemistry , Membrane Lipids/chemistry , Protein Folding , Uridine Diphosphate N-Acetylmuramic Acid/analogs & derivatives , Anti-Infective Agents/pharmacology , Defensins/pharmacology , Fungal Proteins/pharmacology , Gram-Positive Bacteria/growth & development , Gram-Positive Bacteria/metabolism , Gram-Positive Bacterial Infections/metabolism , Humans , Membrane Lipids/metabolism , Micelles , Protein Structure, Secondary , Uridine Diphosphate N-Acetylmuramic Acid/chemistry , Uridine Diphosphate N-Acetylmuramic Acid/metabolism
6.
Genome Med ; 14(1): 47, 2022 05 04.
Article in English | MEDLINE | ID: mdl-35505393

ABSTRACT

BACKGROUND: In early 2021, the SARS-CoV-2 lineage B.1.1.7 (Alpha variant) became dominant across large parts of the world. In Denmark, comprehensive and real-time test, contact-tracing, and sequencing efforts were applied to sustain epidemic control. Here, we use these data to investigate the transmissibility, introduction, and onward transmission of B.1.1.7 in Denmark. METHODS: We analyzed a comprehensive set of 60,178 SARS-CoV-2 genomes generated from high-throughput sequencing by the Danish COVID-19 Genome Consortium, representing 34% of all positive cases in the period 14 November 2020 to 7 February 2021. We calculated the transmissibility of B.1.1.7 relative to other lineages using Poisson regression. Including all 1976 high-quality B.1.1.7 genomes collected in the study period, we constructed a time-scaled phylogeny, which was coupled with detailed travel history and register data to outline the introduction and onward transmission of B.1.1.7 in Denmark. RESULTS: In a period with unchanged restrictions, we estimated an increased B.1.1.7 transmissibility of 58% (95% CI: [56%, 60%]) relative to other lineages. Epidemiological and phylogenetic analyses revealed that 37% of B.1.1.7 cases were related to the initial introduction in November 2020. The relative number of cases directly linked to introductions varied between 10 and 50% throughout the study period. CONCLUSIONS: Our findings corroborate early estimates of increased transmissibility of B.1.1.7. Both substantial early expansion when B.1.1.7 was still unmonitored and continuous foreign introductions contributed considerably to case numbers. Finally, our study highlights the benefit of balanced travel restrictions and self-isolation procedures coupled with comprehensive surveillance efforts, to sustain epidemic control in the face of emerging variants.


Subject(s)
COVID-19 , SARS-CoV-2 , COVID-19/epidemiology , Denmark/epidemiology , Humans , Phylogeny , SARS-CoV-2/genetics
7.
Biochemistry ; 47(50): 13207-14, 2008 Dec 16.
Article in English | MEDLINE | ID: mdl-19053246

ABSTRACT

The A/T-rich interaction domain (ARID) and the HMG-box domain represent DNA-interaction modules that are found in sequence-specific as well as nonsequence-specific DNA-binding proteins. Both domains are found in a variety of DNA-interacting proteins in a wide range of eukaryotic organisms. Proteins that contain both an ARID and an HMG-box domain, here termed ARID-HMG proteins, appear to be specific for plants. This protein family is conserved in higher plants (both mono- and dicot plants) as well as lower plants such as the moss Physcomitrella. Since ARID-HMG proteins have not been studied experimentally, we have examined here two family members from Arabidopsis. The genes encoding ARID-HMG1 and ARID-HMG2 are widely expressed in Arabidopsis but at different levels. Subcellular localization experiments studying ARID-HMG1 and ARID-HMG2 fused to GFP by fluorescence microscopy show that both proteins localize primarily to cell nuclei. Analyses of the DNA-binding properties using electrophoretic mobility shift assays revealed that mediated by the HMG-box domain, ARID-HMG1 binds structure specifically to DNA minicircles. Mediated by the ARID, the protein binds preferentially to A/T-rich DNA, when compared with G/C-rich DNA. Therefore, both DNA-binding domains contribute to the DNA interactions of ARID-HMG1. Accordingly, the protein combines DNA-binding properties characteristic of ARID and HMG-box proteins.


Subject(s)
AT Rich Sequence , Arabidopsis Proteins/chemistry , Arabidopsis Proteins/metabolism , DNA, Plant/chemistry , DNA, Plant/metabolism , DNA-Binding Proteins/chemistry , DNA-Binding Proteins/metabolism , HMG-Box Domains , Amino Acid Sequence , Animals , Arabidopsis Proteins/genetics , Bryopsida/chemistry , Bryopsida/metabolism , DNA-Binding Proteins/genetics , Molecular Sequence Data , Oryza/chemistry , Oryza/metabolism , Populus/chemistry , Populus/metabolism , Protein Binding , Zea mays/chemistry , Zea mays/metabolism
8.
Int J Food Microbiol ; 155(3): 128-36, 2012 Apr 16.
Article in English | MEDLINE | ID: mdl-22377171

ABSTRACT

Fusarium species produce a plethora of bioactive polyketides and nonribosomal peptides that give rise to health problems in animals and may have drug development potential. Using the genome sequences for Fusarium graminearum, F. oxysporum, F. solani and F. verticillioides we developed a framework for future polyketide synthases (PKSs) and nonribosomal peptides synthetases (NRPSs) nomenclature assignment and classification. Sequence similarities of the adenylation and ketosynthase domain sequences were used to group the identified NRPS and PKS genes. We present the current state of knowledge of PKS and NRPS genes in sequenced Fusarium species and their known products. With the rapid increase in the number of sequenced fungal genomes a systematic classification will greatly aid the scientific community in obtaining an overview of the number of different NRPS and PKS genes and their potential as producers of known bioactive compounds.


Subject(s)
Fusarium/enzymology , Genes, Fungal , Peptide Synthases/genetics , Polyketide Synthases/genetics , DNA, Fungal/genetics , Fusarium/genetics , Multigene Family , Peptide Synthases/classification , Phylogeny , Polyketide Synthases/classification , Sequence Analysis, DNA
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