Characterization of phytoplasma associated with wilt disease in coconut and approaches for its sensitive diagnostics

IF 1.7 4区 生物学 Q4 BIOCHEMICAL RESEARCH METHODS
Natesan Boopathi , Gandhi Karthikeyan , Muthurajan Raveendran , Iruthayasamy Johnson , Subbaiyan Maruthasalam , Thulasy Srinivasan , Ramaswamy Manimekalai
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Abstract

Coconut wilt associated with phytoplasma presence is a serious disease that threatens the coconut plantations in South India. Symptoms progress rapidly and cause complete destruction of coconut palm which results in severe economic loss to farmers. Survey in the areas of Thanjavur and Coimbatore districts revealed disease incidence upto 2.5 % and the affected palms exhibited unique symptoms, which differ from the root wilt disease symptoms reported so far. Nested PCR with universal primers and multilocus characterization of tuf and certain rp genes confirmed the presence of phytoplasmas. The 16S rRNA ribosomal gene sequence-based identification assigned the coconut wilt phytoplasma to the ‘Candidatus Phytoplasma asteris’ species. To achieve timely management of the disease and also to check its spread, Loop Mediated Isothermal Amplification (LAMP) and real-time LAMP diagnostics by targeting the 16S rRNA gene, were established for rapid and specific detection of phytoplasma presence. PCR with LAMP outer primers was carried out and sequence analysis confirmed the amplification of the 16S rRNA gene of phytoplasma. LAMP assay positive samples showed the color shift from violet to blue and was further confirmed by the ladder-like bands produced during the amplification. Diseased samples also generated a unique annealing peak at 87 ± 0.5 °C in the real-time LAMP assay. The LAMP protocol devised will be useful for quick and sensitive detection of this phytoplasma and it has potential application to detect phytoplasma presence in suspected coconut palms and to allow screening of nursery seedlings to ensure disease free planting.
与椰子枯萎病有关的植原体的特征及其灵敏诊断方法。
椰子枯萎病与植原体的存在有关,是威胁南印度椰子种植园的一种严重疾病。症状发展迅速,导致椰子树完全枯死,给农民造成严重的经济损失。坦贾武尔和哥印拜陀地区的调查显示,该病的发病率高达 2.5%,受影响的棕榈树表现出独特的症状,与迄今为止报告的根萎病症状不同。使用通用引物进行的巢式 PCR 以及对 tuf 和某些 rp 基因的多焦点鉴定证实了植物病原体的存在。基于 16S rRNA 核糖体基因序列的鉴定将椰子枯萎病植原体归入 "Candidatus Phytoplasma asteris "种。为了及时防治该病并阻止其蔓延,建立了以 16S rRNA 基因为目标的环介导等温扩增(LAMP)和实时 LAMP 诊断方法,以快速、特异地检测植原体的存在。使用 LAMP 外部引物进行 PCR,序列分析证实扩增了植物支原体的 16S rRNA 基因。LAMP 检测阳性样品显示颜色从紫色变为蓝色,扩增过程中产生的梯状条带进一步证实了这一点。在实时 LAMP 检测中,病样还在 87 ± 0.5 °C 的温度下产生了一个独特的退火峰。所设计的 LAMP 方案将有助于快速、灵敏地检测这种植物支原体,并有可能应用于检测可疑椰子树中是否存在植物支原体,以及筛选苗圃幼苗以确保无病种植。
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来源期刊
Journal of microbiological methods
Journal of microbiological methods 生物-生化研究方法
CiteScore
4.30
自引率
4.50%
发文量
151
审稿时长
29 days
期刊介绍: The Journal of Microbiological Methods publishes scholarly and original articles, notes and review articles. These articles must include novel and/or state-of-the-art methods, or significant improvements to existing methods. Novel and innovative applications of current methods that are validated and useful will also be published. JMM strives for scholarship, innovation and excellence. This demands scientific rigour, the best available methods and technologies, correctly replicated experiments/tests, the inclusion of proper controls, calibrations, and the correct statistical analysis. The presentation of the data must support the interpretation of the method/approach. All aspects of microbiology are covered, except virology. These include agricultural microbiology, applied and environmental microbiology, bioassays, bioinformatics, biotechnology, biochemical microbiology, clinical microbiology, diagnostics, food monitoring and quality control microbiology, microbial genetics and genomics, geomicrobiology, microbiome methods regardless of habitat, high through-put sequencing methods and analysis, microbial pathogenesis and host responses, metabolomics, metagenomics, metaproteomics, microbial ecology and diversity, microbial physiology, microbial ultra-structure, microscopic and imaging methods, molecular microbiology, mycology, novel mathematical microbiology and modelling, parasitology, plant-microbe interactions, protein markers/profiles, proteomics, pyrosequencing, public health microbiology, radioisotopes applied to microbiology, robotics applied to microbiological methods,rumen microbiology, microbiological methods for space missions and extreme environments, sampling methods and samplers, soil and sediment microbiology, transcriptomics, veterinary microbiology, sero-diagnostics and typing/identification.
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