Altered metabolomic profile of dual-species biofilm: Interactions between Proteus mirabilis and Candida albicans

• Published in: Microbiological research 2020-01, Vol.230, p.126346-126346, Article 126346
• Main Authors: Kart, Didem, Yabanoglu Ciftci, Samiye, Nemutlu, Emirhan
• Format: Article
• Language: English
• Subjects: Bacterial Proteins - chemistry; Bacterial Proteins - genetics; Bacterial Proteins - metabolism; Candida albicans; Candida albicans - chemistry; Candida albicans - genetics; Candida albicans - growth & development; Candida albicans - physiology; Dual-species biofilm; GC–MS; Metabolomic; Metabolomics; Proteus mirabilis; Proteus mirabilis - chemistry; Proteus mirabilis - genetics; Proteus mirabilis - growth & development; Proteus mirabilis - physiology; Putrescine
• ISSN: 0944-5013; 1618-0623
• DOI: 10.1016/j.micres.2019.126346

In this study, we aimed to determine the interspecies interactions between Proteus mirabilis and Candida albicans. Mono and dual-species biofilms were grown in a microtiter plate and metabolomic analysis of the biofilms was performed. The effects of togetherness of two species on the expression levels of candidal virulence genes and urease and swarming activities of P.mirabilis were investigated. The growth of C.albicans was inhibited by P.mirabilis whereas the growth and swarming activity of P.mirabilis were increased by C.albicans. The inhibition of Candida cell growth was found to be biofilm specific. The alteration was not detected in urease activity. The expressions of EFG1, HWP1 and SAP2 genes were significantly down-regulated, however, LIP1 was upregulated by P.mirabilis. In the presence of P.mirabilis carbonhydrates, amino acids, polyamine and lipid metabolisms were altered in C.albicans. Interestingly, the putrescine level was increased up to 230 fold in dual-species biofilm compared to monospecies C.albicans biofilm. To our knowledge, this is the first study to investigate the impact of each microbial pathogen on the dual microbial environment by integration of metabolomic data.