中国农业科学 ›› 2012, Vol. 45 ›› Issue (24): 4998-5012.doi: 10.3864/j.issn.0578-1752.2012.24.005

• 植物保护 • 上一篇    下一篇

尖孢镰刀菌寄主专化型脂肪酸生物标记鉴别特性

 刘波, 胡桂萍, 肖荣凤   

  1. 1.福建省农业科学院农业生物资源研究所,福州350003
    2.福建农林大学应用生态研究所,福州350002
  • 收稿日期:2012-04-28 出版日期:2012-12-15 发布日期:2012-07-11
  • 通讯作者: 刘 波,Tel:13905917339;E-mail:fzliubo@163.com
  • 作者简介:刘 波,Tel:13905917339;E-mail:fzliubo@163.com
  • 基金资助:

    国家高技术研究与发展计划(863)项目(2006AA10A211、2012AA101504)、福建省财政专项-福建省农业科学院科技创新团队建设基金(STIF-Y03)、福建省发改委重点项目(闽发改投资[2006]781号)、福建省自然科学基金(2008J0055)、国家公益性行业(农业)科研专项(200903049)

Identification of the Characteristics for Forma Specials of Fusarium oxysporum Schl. Based on the Analysis of Fatty Acid Biomarkers

 LIU  Bo, HU  Gui-Ping, XIAO  Rong-Feng   

  1. 1.Agricultural Biological Resource Research Institute, Fujian Academy of Agricultural Sciences, Fuzhou 350003
    2.Institute of Applied Ecology, Fujian Agriculture and Forestry University, Fuzhou 350002
  • Received:2012-04-28 Online:2012-12-15 Published:2012-07-11

摘要: 【目的】分析不同寄主尖孢镰刀菌脂肪酸生物标记的结构组成和分布特性,建立尖孢镰刀菌寄主专化型脂肪酸生物标记鉴别模型。【方法】通过脂肪酸鉴定系统(Sherlock MIS)对来自于西瓜、香蕉和花生寄主的22株尖孢镰刀菌进行脂肪酸生物标记检测,采用聚类分析方法分析尖孢镰刀菌脂肪酸的同质性,采用主成分分析提取尖孢镰刀菌寄主专化型特征脂肪酸,利用Bayes逐步判别方法,建立尖孢镰刀菌寄主专化型判别模型。【结果】从供试的22个菌株中检测到8种脂肪酸,其中常见脂肪酸有6条,相对含量60%以上的主要脂肪酸有16:0、18:0 和18:2 CIS 9,12/18:0a。对常见脂肪酸进行聚类分析,结果表明脂肪酸与尖孢镰刀菌寄主专化型的系统发育存在着对应关系。对常见脂肪酸进行主成分分析,得到尖孢镰刀菌脂肪酸中的特征脂肪酸有5个,分别为14:0(X1)、16:0(X2)、16:1 CIS 9(W7)(X3)、18:0(X4)和18:2 CIS 9,12/18:0a(X5)。利用Bayes逐步判别分析,建立的尖孢镰刀菌寄主专化型判别模型为Y1=-183.06+12.24X1+8.05X2+5.39X4+3.58X5、Y2=-174.09+10.40X1+ 7.96X2+5.40X4+3.42X5、Y3=-173.97+ 14.85X1+7.25X2+ 6.58X4+ 3.53X5,当1≤Yi<2时,菌株的寄主为西瓜;当2≤Yi<3时,菌株的寄主为香蕉;当Yi>3时,菌株的寄主为花生,且模型判对的概率为0.91。利用这套模型,对从西瓜、香蕉、花生上采集的56株尖孢镰刀菌寄主专化型进行判别,准确率达92.86%。【结论】脂肪酸生物标记可以作为尖孢镰刀菌寄主鉴别指标,脂肪酸14:0、16:0、18:0、18:2 CIS 9,12/18:0a是判别尖孢镰刀菌寄主的4个重要指标,建立的判别模型比较符合实际,有很好的应用价值。

关键词: 尖孢镰刀菌 , 脂肪酸 , 寄主专化型 , 判别模型 , 生物标记

Abstract: 【Objective】 The objective of this study is to analyze the characteristics of PLFA biomarkers in Fusarium oxysporum Schl. by means of microbe identification system (MIDI system from USA). 【Method】 Twenty-two strains of F. oxysporum isolated from different hosts, e.g. watermelon, banana and peanut, were detected by MIDI system, the homogeneity of fatty acid from the fungi was analysed by clustering, and the key fatty acids of F. oxysporum were acquired by the method of PCA. The discriminant model for the forma specials of F. oxysporum was figured out by stepwise discriminant analysis.【Result】Eight fatty acids were identified in 22 strains of the forma specials, and there were 3 types of fatty acids such as 16:0, 18:0 and 18:2 CIS 9,12/18:0a related to existance in all strains. Using the cluster analysis method the 22 strains were classified into 4 groups based on the phospholipid fatty acids (PLFAs) biomarkers, which had association with origin, biochemical variant and pathotype of F. oxysporum. The 5 key fatty acids obtained 14:0 (X1), 16:0 (X2), 16:1 CIS 9 (W7) (X3), 18:0 (X4) and 18:2 CIS 9,12/18:0a (X5) were acquired by Principal Component Analysis (PCA). Bayes discrimination method was used to establish discriminant models. Four fatty acids of 14:0 (X1), 16:0 (X2), 18:0 (X4), 18:2 CIS 9,12/18:0a (X5) were put into the model set as follow: Y1=-183.06+12.24X1+8.05X2+5.39X4+ 3.58X5, Y2=-174.09+10.40X1+7.96X2+5.40X4+3.42X5, Y3=-173.97+14.85X1+7.25X2+ 6.58X4+ 3.53X5. The accurate rate for discrimination was up to 92.86%.【Conclusion】Fatty acids, e.g. 14:0, 16:0, 18:0, 18:2 CIS 9,12/18:0a, are the key factors in discriminating the host of F. oxysporum. The discriminant model is accord with the practice and should be well applied into use.

Key words: Fusarium oxysporum Schl. , fatty acid , forma special , discriminant model , biomarker