Project description:BackgroundAntibiotic treatment has a well-established detrimental effect on the gut bacterial composition, but effects on the fungal community are less clear. Bacteria in the lumen of the gastrointestinal tract may limit fungal colonization and invasion. Antibiotic drugs targeting bacteria are therefore seen as an important risk factor for fungal infections and induced allergies. However, antibiotic effects on gut bacterial-fungal interactions, including disruption and resilience of fungal community compositions, were not investigated in humans. We analysed stool samples collected from 14 healthy human participants over three months following a 6-day antibiotic administration. We integrated data from shotgun metagenomics, metatranscriptomics, metabolomics, and fungal ITS2 sequencing. ResultsWhile the bacterial community recovered mostly over three months post treatment, the fungal community was shifted from mutualism at baseline to competition. Half of the bacterial-fungal interactions present before drug intervention had disappeared three months later. During treatment, fungal abundances were associated with the expression of bacterial genes with functions for cell growth and repair. By extending the metagenomic species approach, we revealed bacterial strains inhibiting the opportunistic fungal pathogen Candida albicans. We demonstrate in vitro how C. albicans pathogenicity and host cell damage might be controlled naturally in the human gut by bacterial metabolites such as propionate or 5-dodecenoate.ConclusionsWe demonstrate that antibacterial drugs have long-term influence on the human gut mycobiome. While bacterial communities recovered mostly 30-days post antibacterial treatment, the fungal community was shifted from mutualism towards competition. Linked data:Metagenomics has been submitted to NCBI SRA repository as projects PRJNA573821, PRJNA573905 and PRJNA579284.

Project description:Mycotoxins are secondary metabolites which are produced by numerous fungi and pose a continuous challenge to the safety and quality of food commodities in South Africa. These toxins have toxicologically relevant effects on humans and animals that eat contaminated foods. In this study, a diagnostic DNA microarray was developed for the identification of the most common food-borne fungi, as well as the genes leading to toxin production. A total of 40 potentially mycotoxigenic fungi isolated from different food commodities, as well as the genes that are involved in the mycotoxin synthetic pathways, were analyzed. For fungal identification, oligonucleotide probes were designed by exploiting the sequence variations of the elongation factor 1-alpha (EF-1 Î±) coding regions and the internal transcribed spacer (ITS) regions of the rRNA gene cassette. For the detection of fungi able to produce mycotoxins, oligonucleotides directed towards genes leading to toxin production from different fungal strains were identified in data available in the public domain. The oligonucleotides selected for fungal identification and the oligonucleotides specific for toxin producing genes were spotted onto microarray slides. The diagnostic microarray developed can be used to identify potentially mycotoxigenic fungi as well as genes leading to toxin production in both laboratory and food samples offering an interesting potential for microbiological laboratories. Keywords: Development of a diagnostic microarray for the identification of potentially mycotoxigenic fungi as well as genes leading to toxin production, 40 food-borne fungi, mycotoxins Development of a diagnostic array for the identification of food-borne fungi and their potential mycotoxin-producing genes. Oligonucleotide probes to be printed onto the array were designed by exploiting the sequence variations of the elongation factor 1-alpha (EF-1 Î±) coding regions and the internal transcribed spacer (ITS) regions of the rRNA gene cassette. For the detection of fungi able to produce mycotoxins, oligonucleotides directed towards genes leading to toxin production from different fungal strains were identified in data available in the public domain. Analysis was performed with 40 fungal cultures were obtained from the Agricultural Research Council culture collection (ARC), Pretoria, South Africa.an in-house spotted oligonucleotide microarray. The identity of each fungus was confirmed by standard laboratory procedures. For DNA isolation, the fungal strains were grown on 1.5% malt extract agar at 25Â°C for 1-2 weeks and total genomic fungal DNA was extracted following the DNA extraction protocol described by Raeder and Broda (1985). The internal transcribed spacer oligonucleotides ITS1, ITS3 and ITS4 were used as a reference for normalization of all spot intensity data.Samples were fluorescently labelled with Cy5 dye by using a Cyâ¢Dye Post-labelling Reactive Dye Pack and wre hybridized to the oligonucleotide microarray overnight. Two biological and one technical replicate (using independent labelling reactions) was performed, each replication consisting of a reverse labelling experiment.

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