槲皮素作为一种选择性群体感应抑制剂:对丁香假单胞菌影响有限的硅和体外分析。

IF 3.8 2区 化学 Q2 CHEMISTRY, APPLIED
Shivangi Bhatt, Jignesh Prajapati, Dweipayan Goswami, Meenu Saraf
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引用次数: 0

摘要

群体感应(Quorum sensing, QS)是一种协调基因表达和调节群体依赖行为(如生物膜形成、毒力和抗生素耐药性)的细菌通讯机制。丁香假单胞菌是一种主要的植物病原体,引起豆科植物的细菌性枯萎病,显著降低作物产量。相比之下,植物生长促进细菌(PGPR)产生次级代谢物,促进植物生长并保护植物免受病原体侵害。本研究旨在利用硅和体外相结合的方法,鉴定能够选择性破坏丁香假单胞菌QS而不影响有益PGPR菌株的植物源化合物。通过紫色杆菌生物传感器实验,在功能上证实了qs特异性的作用模式,结果显示其对紫色素的抑制作用具有剂量依赖性。分子对接和MM-GBSA (Molecular Mechanics Generalized Born Surface Area)分析发现,槲皮素对丁香中qs相关蛋白具有较强的结合亲和力(对接评分:- 10.363 kcal/mol,结合能:- 55.89 kcal/mol),是最有效的化合物。有益菌,包括肺炎克雷伯菌和梅利洛中华根瘤菌,对槲皮素的亲和力较低。以QS报告菌violaceum为对照,其亚最小抑菌浓度最低(47.22 μg/mL)。实验表明,槲皮素在1024 μg/mL浓度下对细菌生长有90-95%的抑制作用。丁香假单胞菌、肺炎假单胞菌和木耳假单胞菌的亚mic值分别为156.7、242.6和535.7 μg/mL。在64 μg/mL浓度下,槲皮素对丁香假单胞菌生物膜形成的抑制作用分别为92%、95 ~ 98%和78%。这些发现突出了槲皮素对丁香假单胞菌QS和生物膜形成的选择性破坏作用,强调了槲皮素作为豆科作物保护的靶向生物防治剂的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quercetin as a selective quorum sensing inhibitor: in silico and in vitro analyses against Pseudomonas syringae with limited impact on plant growth-promoting bacteria.

Quorum sensing (QS) is a bacterial communication mechanism that coordinates gene expression and regulates population-dependent behaviors such as biofilm formation, virulence, and antibiotic resistance. Pseudomonas syringae, a major plant pathogen, causes bacterial blight in legumes, significantly reducing crop productivity. In contrast, plant growth-promoting bacteria (PGPR) produce secondary metabolites that enhance plant growth and protect against pathogens. This study aimed to identify plant-derived compounds capable of selectively disrupting the QS of P. syringae without adversely affecting beneficial PGPR strains, using a combined in silico and in vitro approach. The QS-specific mode of action was functionally confirmed using a Chromobacterium violaceum biosensor assay, which revealed potent, dose-dependent inhibition of violacein pigment. Molecular docking and MM-GBSA (Molecular Mechanics Generalized Born Surface Area) analyses identified quercetin as the most potent compound, exhibiting strong binding affinity (docking score: - 10.363 kcal/mol; binding energy: - 55.89 kcal/mol) to QS-related proteins in P. syringae. Beneficial bacteria, including Klebsiella pneumoniae and Sinorhizobium meliloti, showed lower affinities to quercetin. Chromobacterium violaceum, a well-known QS reporter strain used as a control, exhibited the lowest sub-minimum inhibitory concentration (47.22 μg/mL). Experimentally, quercetin inhibited bacterial growth by 90-95% at 1024 μg/mL. The sub-MIC values for P. syringae, K. pneumoniae, and S. meliloti were 156.7, 242.6, and 535.7 μg/mL, respectively. At 64 μg/mL, quercetin suppressed biofilm formation by 92% in P. syringae, 95-98% in K. pneumoniae and S. meliloti, and 78% in C. violaceum. These findings highlight quercetin's selective disruption of QS and biofilm formation in P. syringae, underscoring its potential as a targeted biocontrol agent for legume crop protection.

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来源期刊
Molecular Diversity
Molecular Diversity 化学-化学综合
CiteScore
7.30
自引率
7.90%
发文量
219
审稿时长
2.7 months
期刊介绍: Molecular Diversity is a new publication forum for the rapid publication of refereed papers dedicated to describing the development, application and theory of molecular diversity and combinatorial chemistry in basic and applied research and drug discovery. The journal publishes both short and full papers, perspectives, news and reviews dealing with all aspects of the generation of molecular diversity, application of diversity for screening against alternative targets of all types (biological, biophysical, technological), analysis of results obtained and their application in various scientific disciplines/approaches including: combinatorial chemistry and parallel synthesis; small molecule libraries; microwave synthesis; flow synthesis; fluorous synthesis; diversity oriented synthesis (DOS); nanoreactors; click chemistry; multiplex technologies; fragment- and ligand-based design; structure/function/SAR; computational chemistry and molecular design; chemoinformatics; screening techniques and screening interfaces; analytical and purification methods; robotics, automation and miniaturization; targeted libraries; display libraries; peptides and peptoids; proteins; oligonucleotides; carbohydrates; natural diversity; new methods of library formulation and deconvolution; directed evolution, origin of life and recombination; search techniques, landscapes, random chemistry and more;
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