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A good floc formation of activated sludge (AS) is crucial for solid-liquid separation and production of clean effluent during wastewater treatment. Floc formation is partly controlled by self-produced extracellular polymeric substances (EPS) such as exopolysaccharides, proteins, and nucleic acids. Little is known about the composition, structure, and function of EPS in AS and which bacteria produce them. To address this knowledge gap for the exopolysaccharides, we took advantage of 1083 high-quality metagenome-assembled genomes (MAGs) obtained from 23 Danish wastewater treatment plants. We investigated the genomic potential for exopolysaccharide biosynthesis in bacterial species typical in AS systems based on genome mining and gene synteny analyses. Putative gene clusters associated with the biosynthesis of alginate, cellulose, curdlan, diutan, hyaluronic acids, Pel, poly-β-1,6-N-acetyl-D-glucosamine (PNAG), Psl, S88 capsular polysaccharide, salecan, succinoglycan, and xanthan were identified and linked to individual MAGs, providing a comprehensive overview of the genome-resolved potential for these exopolysaccharides in AS bacteria. The approach and results provide a starting point for a more comprehensive understanding of EPS composition in wastewater treatment systems, which may facilitate a more refined regulation of the activated sludge process for improved stability.

Potatoes contain several nutrients essential for fungal growth, making them an excellent component of media such as the popular Potato Dextrose Agar (PDA) medium. Commercially, PDA is available from multiple retailers offering virtually the same product. These media, however, could contain small differences in composition of nutrients affecting the expression of secondary metabolites. This study aims to investigate the use of four PDA media from different manufacturers (Fluka, Oxoid, Sigma, and VWR) and their effect on the metabolite profile of four species of Fusarium (F. fujikuroi, F. graminearum, F. pseudograminearum and F. avenaceum). Secondary metabolites were analysed using HPLC-HRMS, from which statistically significant differences in intensities were observed for 9 out of 10 metabolites.