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Ratoon Stunting Disease of Sugarcane: A Review Emphasizing Detection Strategies and Challenges

生物 生物技术 疾病 环介导等温扩增 糖精 疾病管理 农学 病理 梅德林 医学 遗传学 生物化学 系统回顾 DNA
作者
Moutoshi Chakraborty,Narshone Soda,Simon Strachan,Chuong N. Ngo,Shamsul A. Bhuiyan,Muhammad J. A. Shiddiky,Rebecca Ford
出处
期刊:Phytopathology [Scientific Societies]
卷期号:114 (1): 7-20 被引量:4
标识
DOI:10.1094/phyto-05-23-0181-rvw
摘要

Sugarcane ( Saccharum hybrid) is an important cash crop grown in tropical and subtropical countries. Ratoon stunting disease (RSD), caused by a xylem-inhabiting bacterium, Leifsonia xyli subsp. xyli ( Lxx) is one of the most economically significant diseases globally. RSD results in severe yield losses because its highly contagious nature and lack of visually identifiable symptoms make it harder to devise an effective management strategy. The efficacy of current management practices is hindered by implementation difficulties caused by lack of resources, high cost, and difficulties in monitoring. Rapid detection of the causal pathogen in vegetative planting material is crucial for sugarcane growers to manage this disease. Several microscopic, serological, and molecular-based methods have been developed and used for detecting the RSD pathogen. Although these methods have been used across the sugarcane industry worldwide to diagnose Lxx, some lack reliability or specificity, are expensive and time-consuming to apply, and most of all, are not suitable for on-farm diagnosis. In recent decades, there has been significant progress in the development of integrated isothermal amplification-based microdevices for accurate human and plant pathogen detection. There is a significant opportunity to develop a novel diagnostic method that integrates nanobiosensing with isothermal amplification within a microdevice format for accurate Lxx detection. In this review, we summarize (i) the historical background and current knowledge of sugarcane ratoon stunting disease, including some aspects related to transmission, pathosystem, and management practices; and (ii) the drawbacks of current diagnostic methods and the potential for application of advanced diagnostics to improve disease management.
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