浙江农业学报

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稻瘟病菌孢子qPCR方法的建立及用于监测气传菌源的研究

  

  1. (1.宁波市种植业管理总站,浙江 宁波 315012; 2.浙江省宁海县农业技术推广总站,浙江 宁海 315600; 3.浙江省农业科学院 植物保护与微生物研究所,浙江 杭州 310021)
  • 出版日期:2016-08-25 发布日期:2016-08-04

Development of a qPCR detection method for monitoring conidial density of rice blast fungus in the air

  1. (1. Ningbo Plant Cultivation Management Station, Ningbo 315012, China; 2. Ninghai Agricultural Technology Extension and Service Center, Ninghai 315600, China; 3.Institute of Plant Protection and Microbiology, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China)
  • Online:2016-08-25 Published:2016-08-04

摘要: 稻瘟病是水稻生产中最具毁灭性的真菌病害之一,监测田间空气中稻瘟病菌分生孢子数量动态变化,对于预测病情发生和指导及时防治具有重要意义。该研究以稻瘟病菌MHP1基因为靶序列,建立了1种稻瘟病菌分生孢子qPCR定量方法,并采用此方法对田间气传稻瘟病菌源进行了监测。监测数据显示,监测期间空气中稻瘟病菌分生孢子数量波动幅度较大。结合气象条件进行分析,菌源量的波动与气象条件相关。该研究建立的孢子qPCR方法可应用于监测气传稻瘟病菌源。

关键词: 稻瘟病, 分生孢子量, 孢子捕捉, qPCR, 气象因子

Abstract: Rice blast disease, caused by Magnaporthe oryzae, was one of the most devastating fungal diseases of rice. It was very important to monitor airborne conidial density of M. oryzae in fields for forecasting and control of blast disease. In present study, a qPCR detection method for conidia of M. oryzae was developed, based on M. oryzae MHP1 gene as the target sequence. Airborne conidia of M. oryzae in fields were trapped and quantified using this method. The results showed that airborne conidia population of M. oryzae was largely fluctuant, and indicated that the conidia release of M. oryzae was obviously affected by meteorological conditions during the monitoring periods. Generally, this qPCR method could be used to detect and quantified airborne conidia of rice blast fungus in fields.

Key words: Key words: rice blast, amount of conidia, spore trap, qPCR, meteorological factor