期刊
PHYTOCHEMICAL ANALYSIS
卷 22, 期 3, 页码 236-246出版社
WILEY
DOI: 10.1002/pca.1271
关键词
Huanglongbing; metabolomics; biomarker; GC-MS; citrus; zinc deficiency
资金
- Florida Department of Agriculture and Consumer Services [00068723]
- Florida Department of Citrus [00071924]
Introduction - Citrus Huanglongbing (HLB) is considered the most destructive citrus disease worldwide. Symptoms-based detection of HLB is difficult due to similarities with zinc deficiency. Objective - To find metabolic differences between leaves from HLB-infected, zinc-deficient, and healthy 'Valencia' orange trees by using GC-MS based metabolomics. Methodology - Analysis based on GC-MS methods for untargeted metabolite analysis of citrus leaves was developed and optimized. Sample extracts from healthy, zinc deficient, or HLB-infected sweet orange leaves were submitted to headspace solid phase micro-extraction (SPME) and derivatization treatments prior to GC-MS analysis. Results - Principal components analysis achieved correct classification of all the derivatized liquid extracts. Analysis of variance revealed 6 possible biomarkers for HLB, of which 5 were identified as proline, beta-elemene, (-)trans- caryophyllene, and alpha-humulene. Significant (P < 0.05) differences in oxo-butanedioic acid, arabitol, and neo-inositol were exclusively detected in samples from plants with zinc deficiency. Levels of isocaryophyllen, alpha-selinene, beta-selinene, and fructose were significantly (P < 0.05) different in healthy leaves only. Conclusion - Results suggest the potential of using identified HLB biomarkers for rapid differentiation of HLB from zinc deficiency. Copyright (C) 2010 John Wiley & Sons, Ltd.
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