马铃薯病毒病生物芯片检测及分析

Detection and analysis of potato virus disease by using biological chip

  • 摘要:
    目的 明确新疆马铃薯病毒病的种类及发生情况,提高马铃薯病毒病检测效率,实现对马铃薯病毒的快速鉴定。
    方法 应用生物芯片检测技术,通过核酸提取、聚合酶链式反应(Polymerase Chain Reaction,PCR)、分子杂交和高精度荧光检测等方法,对新疆3个马铃薯生产县的样本进行病毒检测及分析。
    结果 在164个样本中,阳性样本37个,共检测出5种病毒,分别为马铃薯S病毒(Potato virus S,PVS)、马铃薯Y病毒(Potato virus Y,PVY)、马铃薯卷叶病毒(Potato leaf roll virus,PLRV)、马铃薯M病毒(Potato virus M,PVM)及马铃薯帚顶病毒(Potato mop-top virus,PMTV),病毒检出率为22.56%,其中2份样品为PVY和PLRV复合侵染,占比1.22%。样品中PVS侵染最严重,检出率为15.85%,占比最高,其次是PLRV,检出率为3.05%。
    结论 新疆马铃薯病毒病主要由5种病毒病侵染引起,其中PVS检出率最高,在乌鲁木齐县、昭苏县普遍发生,为区域优势病毒;单独病毒侵染是病薯在田间的主要存在形式。生物芯片检测技术可有效提高病毒检测率,可实时掌握马铃薯生产中病毒病的侵染情况,为新疆马铃薯病毒病科学防治提供技术支撑。

     

    Abstract:
    Objective This study aims to clarify the types and occurrence of potato virus diseases in Xinjiang, enhance the efficiency of potato virus disease detection, and achieve rapid identification of potato viruses.
    Methods The virus detection and analysis of samples from three potato production counties in Xinjiang were carried out by applying biochip detection technology, including nucleic acid extraction, PCR amplification, molecular hybridization and high-precision fluorescence detection.
    Results Among 164 samples tested, 37 were positive, with five distinct viruses detected: Potato virus S (PVS), Potato virus Y (PVY), Potato leaf roll virus (PLRV), Potato virus M (PVM) and Potato mop-top virus (PMTV), The virus detection rate was 22.56%, with 2 samples showing co-infection by PVY and PLRV, accounting for 1.22%. Among the samples, PVS infection was the most severe, with a detection rate of 15.85% representing the highest proportion, followed by PLRV at 3.05%.
    Conclusion Potato virus diseases in Xinjiang are primarily caused by five viral pathogens, with PVS exhibiting the highest detection rate. This virus is prevalent in Urumqi County and Zhaosu County, establishing it as the dominant regional pathogen. Single-virus infections represent the predominant form of diseased potatoes in the field. Biochip detection technology can effectively enhance virus detection rates, enabling real-time monitoring of viral infection in potato production. This provides technical support for the scientific prevention and control of potato viral diseases in Xinjiang.

     

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