白色念珠菌
代谢组学
代谢途径
白色体
磷酸戊糖途径
生物
微生物学
生物化学
代谢组
柠檬酸循环
萜类
新陈代谢
糖酵解
生物信息学
作者
Qiandan Miao,Linjing Zhao,Yuting Wang,Fangjia Hao,Peipei Sun,Peng He,Yumin Liu,Jiashuai Huang,Xijian Liu,Xiaohui Liu,Guoying Deng,Hongsen Li,Lingai Li,Yingao Tang,Lixin Wang,Meiqing Feng,Jia Wang
标识
DOI:10.1016/j.jep.2020.113002
摘要
Fungal infections remain a serious problem worldwide that require effective therapeutic strategies. Essential oil of basil (Ocimum basilicum L., BEO) being traditionally used extensively for the treatment of bacterial and fungal infection has a long history. However, the potential mechanism of action was still obscure, especially from the metabolic perspective. The fungistatic effect of BEO on Candida albicans (C. albicans) was evaluated by measurement of minimum inhibitory concentration (MIC) and morphological analysis. A high-coverage microbial metabolomics approach was utilized to identify the alterations of intracellular metabolites of C. albicans at mid-logarithmic growth phase in response to the subinhibitory concentration of BEO, by using gas chromatography coupled to time-of-fight mass spectrometry (GC-TOFMS). Following the metabolic fingerprinting, systematic network analysis was performed to illustrate the potential mechanism of BEO involved in the suppression of C. albicans. The damage in cellular membranes of C. albicans treated by BEO above MIC was observed on the scanning electron microscope (SEM) micrographs. Metabolomics results showed that, among 140 intracellular metabolites identified by comparison with reference standards, thirty-four had significantly changed abundances under 0.2 MIC of BEO treatment, mainly involving in central carbon metabolism (glycolysis/gluconeogenesis, pentose phosphate pathway and TCA cycle), amino acids, polyamines and lipids metabolism. Pathway and network analyses further found that fifteen ingredients of BEO mainly terpenoids and phenyl-propanoids, potentially participated in the metabolic regulation and may be responsible for the suppression of C. albicans. The findings highlighted that integrated microbial metabolomics and network analyses could provide a methodological support in understanding the functional mechanisms of natural antimicrobial agents and contribute to drug discovery.
科研通智能强力驱动
Strongly Powered by AbleSci AI