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Suster, C.

Publications and source records attributed to Suster, C..

2 recordsLinked to original sources

Discovery of a novel antifungal compound, ilicicolin K, through genetic activation of the ilicicolin biosynthetic pathway in Trichoderma reesei

In the quest to discover novel antifungal agents and new antifungal production processes, we investigated the biosynthetic gene cluster (BGC) for ilicicolin H in the fungus Trichoderma reesei. While the BGC is silent under standard cultivation conditions, we achieved to activate it by over-expressing its transcription factor TriliR. Successful BGC activation was confirmed by RT-qPCR, proteomic and metabolomic analyses. Metabolomic profiling upon BGC expression revealed high-yield production of the supposed main product ilicicolin H. To elucidate the functionality of this BGC, we employed a combination of overexpression and deletions of individual biosynthetic gene cluster constituents. Deletion of triliA, encoding for the core polyketide synthase TriliA, completely ceased product formation, as expected. In contrast to previous heterologous expression experiments, we could demonstrate that the epimerase TriliE is necessary for the formation of ilicicolin H in the native host. While we hardly observed any of the previously reported side- or shunt products associated with heterologous ilicicolin H expression, we discovered a novel member of the ilicicolin family using a metabolomic molecular networking approach. This new compound, which we termed ilicicolin K, is expressed in substantial amounts in the genetically engineered Trichoderma reesei, enabling us to elucidate its structure by NMR. The structure of ilicicolin K is similar to that of ilicicolin H but differs by an additional hydroxylation and an intramolecular etherification of the hydroxyl group at the pyridone towards the tyrosine moiety of the molecule. Initial tests of ilicicolin K showed antifungal activity against Saccharomyces cerevisiae and Aspergillus nidulans with a similar minimum inhibitory concentration as ilicicolin H.

biochemistry↗

STECode: an automated virulence barcode generator to aid clinical and public health risk assessment of Shiga toxin-producing Escherichia coli

Shiga Toxin (Stx) producing Escherichia coli (STEC) is a subset of pathogenic E. coli that can produce two types of Stx, Stx1 and Stx2, which can be further subtyped into four and 15 subtypes respectively. Not all subtypes, however, are equal in virulence potential, and the risk of severe disease including haemolytic uraemic syndrome has been linked to certain Stx2 subtypes e.g. Stx2a, Stx2d, highlighting the importance to survey stx subtypes. Previously, we developed a STEC virulence barcode to capture pertinent information on virulence genes to infer pathogenic potential. However, the process required multiple manual curation steps to determine the barcode. Here we introduce STECode, a bioinformatic tool to automate the STEC virulence barcode generation from sequencing reads or genomic assemblies. The development, and validation of STECode is described using a set of publicly available completed STEC genomes, along with their corresponding short reads. STECode was applied to interrogate the virulence landscape and molecular epidemiology of human STEC isolated during the period of the international border closures related to COVID-19 in the state of New South Wales, Australia. Impact statementWhole genome sequencing has been used to great effect in the genomic surveillance of STEC for public health purposes via the tracking of outbreaks. With STECode, we present a method to generate a STEC virulence barcode which captures pertinent subtyping information, useful for genomic inference of pathogenic potential. A key blind spot generated in short-read sequencing is the inability to detect the presence of multiple, isogenic stx copies in STEC. STECode mitigates this by inferring and reporting on the possibility of this occurrence. We envisage that this tool will value-add current genomic surveillance workflows through the ability to infer pathogenic potential.

microbiology↗