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双物种生物膜代谢组学特征的改变:奇异变形杆菌和白色念珠菌的相互作用。

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

机构信息

Hacettepe University, Faculty of Pharmacy, Department of Pharmaceutical Microbiology, Sıhhiye, Ankara, Turkey.

Hacettepe University, Faculty of Pharmacy, Department of Biochemistry, Sıhhiye, Ankara, Turkey.

出版信息

Microbiol Res. 2020 Jan;230:126346. doi: 10.1016/j.micres.2019.126346. Epub 2019 Sep 23.

DOI:10.1016/j.micres.2019.126346
PMID:31563763
Abstract

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.

摘要

在这项研究中,我们旨在确定奇异变形杆菌和白色念珠菌之间的种间相互作用。在微量滴定板中培养单种和两种生物膜,并对生物膜进行代谢组学分析。研究了两种生物同时存在对念珠菌毒力基因和脲酶表达水平以及奇异变形杆菌的群集活性的影响。奇异变形杆菌抑制白色念珠菌的生长,而白色念珠菌则增加奇异变形杆菌的生长和群集活性。发现对 Candida 细胞生长的抑制是生物膜特异性的。在脲酶活性中未检测到这种改变。EFG1、HWP1 和 SAP2 基因的表达显著下调,然而,LIP1 被奇异变形杆菌上调。在奇异变形杆菌存在的情况下,白色念珠菌的碳水化合物、氨基酸、多胺和脂质代谢发生改变。有趣的是,与单种白色念珠菌生物膜相比,双种生物膜中的腐胺水平增加了 230 倍。据我们所知,这是第一项通过整合代谢组学数据研究每种微生物病原体对双微生物环境影响的研究。

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