温带豆科植物灰霉病菌的快速电化学生物传感器诊断方法

IF 2.3 Q1 AGRICULTURE, MULTIDISCIPLINARY ACS agricultural science & technology Pub Date : 2024-10-16 DOI:10.1021/acsagscitech.4c0013610.1021/acsagscitech.4c00136
Prabhakaran Sambasivam, Marzia Bilkiss, Narshone Soda, Ido Bar, Muhammad J. A. Shiddiky and Rebecca Ford*, 
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引用次数: 0

摘要

由 Botrytis cinerea 或 B. fabae 引起的灰霉病(BGM)是鹰嘴豆、扁豆和蚕豆等温带豆科植物的一种毁灭性叶面真菌病害。由于几乎没有强大的寄主抗性,快速、准确和可量化的诊断将有助于防止病害的发生和成本高昂的过度喷洒。为此,我们开发了基于金纳米粒子的无 PCR 检测方法,包括廉价、便携的丝网印刷碳电极(SPCE)和物种特异性生物素化捕获探针,用于检测、鉴别和量化病原生物。最初,在纯真菌背景下使用多重定量 PCR 确定了探针的特异性和灵敏度(100 fg/μL ∼2 基因组拷贝/μL),在人工感染的豆科植物叶片上检测到的孢子少至 100 个。随后,利用功能化磁性纳米粒子开发了电催化(EC)测定法,并在准现场条件下对三种扁豆栽培品种进行了评估。使用生物素化捕获探针,电荷密度与病原体数量相关。两种病原体的检测限(LOD)均为 10 fg,灵敏度是 qPCR 的 10 倍,能够检测植物背景中的单个孢子。新的诊断工具随后在自然感染的田间材料上进行了验证,为应用于先进的 BGM 信息管理提供了重大进展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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A Rapid Electrochemical Biosensor Diagnostic for Botrytis ssp. Causing Botrytis Gray Mold of Temperate Legumes

Botrytis gray mold (BGM) caused by Botrytis cinerea or B. fabae is a destructive foliar fungal disease of temperate legumes such as chickpea, lentil, and fava bean. With little to no robust host resistance, fast, accurate, and quantifiable diagnosis would help to prevent disease establishment and costly overspraying. For this, gold nanoparticle-based PCR-free assays, comprising inexpensive, portable screen-printed carbon electrodes (SPCEs) and species-specific biotinylated capture probes, were developed to detect, discriminate, and quantify the causal organisms. Initially, probe specificities and sensitivities were determined (100 fg/μL ∼2 genome copies/μL) in pure fungal backgrounds using multiplexed quantitative PCR, detecting as few as 100 spores on artificially infected legume leaves. Subsequently, electrocatalytic (EC) assays were developed using functionalized magnetic nanoparticles and assessed on three lentil cultivars under quasi-field conditions. Using biotinylated capture probes, the charge densities were correlated with pathogen quantity. The limits of detection (LOD) were 10 fg for both species, 10 times more sensitive than qPCR and able to detect a single spore in a plant background. The new diagnostic tools were subsequently validated on naturally infected field material and offer substantial advances for application in advanced informed BGM management.

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