浙江农业学报 ›› 2018, Vol. 30 ›› Issue (10): 1686-1693.DOI: 10.3969/j.issn.1004-1524.2018.10.11

• 植物保护 • 上一篇    下一篇

水稻离体叶片纹枯病接种样品菌量检测方法研究

曲海艳1, 2, 袁正杰2, 潘龙玉1, 2, 何海燕2, 许赵蒙1, 2, 瞿绍洪2, *   

  1. 1.浙江师范大学 化学与生命科学学院,浙江 金华 321004;
    2.浙江省农业科学院 病毒学与生物技术研究所,浙江 杭州 310021
  • 收稿日期:2017-12-29 出版日期:2018-10-25 发布日期:2018-11-02
  • 通讯作者: 瞿绍洪,E-mail:squ@mail.zaas.ac.cn
  • 作者简介:曲海艳(1992—),女,山东烟台人,硕士研究生,主要从事水稻生物技术研究。E-mail:563561809@qq.com
  • 基金资助:
    国家自然科学基金(316720161005943); 浙江省农业科学院国际合作项目; 浙江省农业科学院扶持学科项目; 浙江省农业科学院省部共建国家重点实验室培育基地项目(2010DS700124-KF1210); 转基因生物新品种培育重大专项(2012ZX08009001)

Studies on quantification method of rice sheath blight pathogen (Rhizoctonia solani) in inoculated rice detached-leaf samples

QU Haiyan1, 2, YUAN Zhengjie2, PAN Longyu1, 2, HE Haiyan2, XU Zhaomeng1, 2, QU Shaohong2, *   

  1. 1.College of Chemistry and Life Science, Zhejiang Normal University, Jinhua 321004,China;
    2.Institute of Virology and Biotechnology, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021,China
  • Received:2017-12-29 Online:2018-10-25 Published:2018-11-02

摘要: 利用qPCR方法对水稻离体叶片纹枯病接种材料进行纹枯病菌含量的检测,从而对水稻发病程度进行定量分析。各水稻品种接种样品的纹枯病菌DNA含量,从低到高的顺序为:YSBR1、徐稻3号、台北309、泰粳394和Lemont。通过对接种实验条件的精确控制,离体叶片的病斑扫描,以及相对病斑面积的统计分析,验证了关于病害严重程度的qPCR检测结果。大田接种试验中,YSBR1、Lemont和泰粳394的平均病级呈显著差异;这进一步证明,通过纹枯病菌DNA的qPCR方法,能够快速有效地定量检测不同水稻品种的纹枯病抗性差异。该研究可为量化纹枯病发病程度、评价水稻品种的抗性水平及进行纹枯病的早期预报,提供有效的检测手段。

关键词: 水稻, 纹枯病, 离体叶片接种, 菌量检测

Abstract: In this study, qPCR assays of the rice sheath blight (SB) pathogen inoculated to detached rice leaf tissues were performed to evaluate the disease level. Rice cultivars with the relative content of pathogen DNA in inoculated samples from the lowest to the highest are as below: YSBR1, Xudao 3, Taipei 309, Taijing 394, Lemont. The disease severity of leaf tissues indicated by the qPCR results was verified by precise control of the experimental conditions in SB inoculation, digital scanning of disease lesions, and statistical analysis of lesion areas. The average disease indexes of YSBR1, Lemont and Taijing 394 were significantly different from each other in field SB inoculation, further demonstrating that qPCR can be used to quantitatively evaluate the SB resistance level of rice cultivars. This study provides an effective method for quantification of the SB severity, evaluation of the resistance level of rice cultivars, and the forecast of the SB disease.

Key words: rice (Oryza sativa), sheath blight, detached-leaf inoculation, pathogen quantification

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