Literature DB >> 33915256

Cellular and non-target metabolomics approaches to understand the antifungal activity of methylaervine against Fusarium solani.

Wenjia Dan1, Jixiang Gao1, Luqi Li2, Yingmeng Xu3, Junru Wang4, Jiangkun Dai5.   

Abstract

Botanical fungicides are promising replacements for pure chemical synthetic pesticides in agriculture and organic food production. Methylaervine with good physicochemical properties exhibited effective activity against F. solani (EC50 = 10.56 µM) better than the positive control thiophanate-methyl (EC50 = 27.94 µM). The activity changes of malondialdehyde (MDA), catalase (CAT) and superoxide dismutase (SOD) showed that methylaervine could significantly induce lipid peroxidation and activate the antioxidant enzymes. According to the metabolomics analysis, fifty-one differential metabolites and two major antifungal-related pathways covering tricarboxylic acid (TCA) cycle and steroid biosynthesis were identified. Moreover, the disturbance for TCA cycle was validated by the activity changes of dehydrogenase (MDH) and succinate dehydrogenase (SDH) as well as docking simulation. Homology modeling and docking study revealed that hydrogen bonds and hydrophobic interactions played a vital role in methylaervine-protein stability. This study provided new insight into the antifungal activity of methylaervine, which is important for the development of novel botanical fungicides based on methylaervine.
Copyright © 2021 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Antifungal; Metabolomics; Methylaervine; Steroid biosynthesis; TCA cycle

Year:  2021        PMID: 33915256     DOI: 10.1016/j.bmcl.2021.128068

Source DB:  PubMed          Journal:  Bioorg Med Chem Lett        ISSN: 0960-894X            Impact factor:   2.823


  1 in total

1.  Design, Synthesis, Antibacterial, Antifungal and Anticancer Evaluations of Novel β-Pinene Quaternary Ammonium Salts.

Authors:  Li Zhang; Xue-Zhen Feng; Zhuan-Quan Xiao; Guo-Rong Fan; Shang-Xing Chen; Sheng-Liang Liao; Hai Luo; Zong-De Wang
Journal:  Int J Mol Sci       Date:  2021-10-19       Impact factor: 5.923

  1 in total

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