Rapid detection of virulence-related genes by multiplex PCR in five pathogenic bacteria of mulberry bacterial wilt

IF 5.2 2区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY Chemical and Biological Technologies in Agriculture Pub Date : 2024-05-17 DOI:10.1186/s40538-024-00583-z
Ting Yuan, Izhar Hyder Qazi, Xinpeng Huang, Jiping Liu
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Abstract

Mulberry bacterial wilt is a devastating disease that is difficult to control and causes serious economic losses to the sericulture industry. This disease is mostly caused by a diverse group of pathogenic and opportunistic bacteria including, Ralstonia pseudosolanacearum, Pantoea ananatis, Enterobacter cloacae complex (ECC), Klebsiella pneumoniae species complex (KpSC), and K. oxytoca complex (KoC). Due to the lack of a rapid and reliable test to simultaneously detect these complex pathogens of mulberry wilt, we developed a multiplex PCR (mPCR) assay to detect five virulence-related genes carried by the pathogenic bacteria of mulberry bacterial wilt disease. The primers were designed for the virulence-related genes: pleD (GGDF structural domain-containing protein), yjfP (esterase), pelY (peripheral pectate lyase), ampD (N-acetyl-anhydromuranmyl-L-alanine amidase), and ripW (type III effector). Overall, the developed mPCR assay showed highly specific, sensitive and reproducible detection of target pathogens. Briefly, the results showed that the mPCR was highly specific in individual reactions, and the lowest detection concentration of the five pathogenic bacteria was 1.87 × 103 CFU/mL (DNA = 2.45 pg/μL). From 46 natural mulberry wilt samples, the mPCR detection rates of P. ananatis, ECC, KpSC, KoC and R. pseudosolanacearum were 8.69, 91.3, 34.7, 23.9 and 65.21%, respectively. The traditional culture media isolation methods showed comparable results. The pathogenicity test of 84 suspected pathogenic bacteria revealed that the morbidity (average morbidity level) caused by the pathogenic bacteria detected by mPCR was ≥ 65.5%, while the morbidity of the undetected pathogenic bacteria was ≤ 35.5%. Based on these results, we believe that the mPCR developed in the present study will be useful in rapid, reproducible, and sensitive detection of the pathogenic bacteria causing mulberry bacterial wilt including, R. pseudosolanacearum, P. ananatis, ECC, KpSC, and KoC.

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利用多重 PCR 快速检测桑细菌性枯萎病五种致病菌的毒力相关基因
桑树细菌性枯萎病是一种难以控制的毁灭性病害,给养蚕业造成严重的经济损失。该病主要由多种病原菌和机会性细菌引起,包括假丝酵母菌(Ralstonia pseudosolanacearum)、泛氏变形杆菌(Pantoea ananatis)、梭状芽孢杆菌复合体(ECC)、肺炎克雷伯菌种复合体(KpSC)和氧乐果复合体(KoC)。由于缺乏一种快速可靠的检测方法来同时检测桑树枯萎病的这些复合病原菌,我们开发了一种多重 PCR(mPCR)检测方法来检测桑树细菌性枯萎病病原菌携带的五种毒力相关基因。引物是针对毒力相关基因设计的:pleD(含 GGDF 结构域蛋白)、yjfP(酯酶)、pelY(外周栉酸裂解酶)、ampD(N-乙酰基-anhydromuranmyl-L-丙氨酸酰胺酶)和 ripW(III 型效应器)。总体而言,所开发的 mPCR 检测方法对目标病原体的检测具有高度的特异性、灵敏性和可重复性。简而言之,结果表明 mPCR 在单个反应中具有高度特异性,五种病原菌的最低检测浓度为 1.87 × 103 CFU/mL(DNA = 2.45 pg/μL)。在 46 份天然桑枯萎病样本中,P. ananatis、ECC、KpSC、KoC 和 R. pseudosolanacearum 的 mPCR 检出率分别为 8.69%、91.3%、34.7%、23.9% 和 65.21%。传统培养基分离方法的结果相当。对 84 个疑似致病菌的致病性检测显示,mPCR 检测出的致病菌导致的发病率(平均发病率)≥ 65.5%,而未检测出的致病菌导致的发病率≤ 35.5%。基于这些结果,我们认为本研究中开发的 mPCR 将有助于快速、可重复和灵敏地检测引起桑细菌性枯萎病的病原菌,包括 R. pseudosolanacearum、P. ananatis、ECC、KpSC 和 KoC。
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来源期刊
Chemical and Biological Technologies in Agriculture
Chemical and Biological Technologies in Agriculture Biochemistry, Genetics and Molecular Biology-Biotechnology
CiteScore
6.80
自引率
3.00%
发文量
83
审稿时长
15 weeks
期刊介绍: Chemical and Biological Technologies in Agriculture is an international, interdisciplinary, peer-reviewed forum for the advancement and application to all fields of agriculture of modern chemical, biochemical and molecular technologies. The scope of this journal includes chemical and biochemical processes aimed to increase sustainable agricultural and food production, the evaluation of quality and origin of raw primary products and their transformation into foods and chemicals, as well as environmental monitoring and remediation. Of special interest are the effects of chemical and biochemical technologies, also at the nano and supramolecular scale, on the relationships between soil, plants, microorganisms and their environment, with the help of modern bioinformatics. Another special focus is the use of modern bioorganic and biological chemistry to develop new technologies for plant nutrition and bio-stimulation, advancement of biorefineries from biomasses, safe and traceable food products, carbon storage in soil and plants and restoration of contaminated soils to agriculture. This journal presents the first opportunity to bring together researchers from a wide number of disciplines within the agricultural chemical and biological sciences, from both industry and academia. The principle aim of Chemical and Biological Technologies in Agriculture is to allow the exchange of the most advanced chemical and biochemical knowledge to develop technologies which address one of the most pressing challenges of our times - sustaining a growing world population. Chemical and Biological Technologies in Agriculture publishes original research articles, short letters and invited reviews. Articles from scientists in industry, academia as well as private research institutes, non-governmental and environmental organizations are encouraged.
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