Scientia Agricultura Sinica ›› 2012, Vol. 45 ›› Issue (24): 4998-5012.doi: 10.3864/j.issn.0578-1752.2012.24.005

• PLANT PROTECTION • Previous Articles     Next Articles

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

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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

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