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GC-MS Analysis of Headspace and Liquid Extracts for Metabolomic Differentiation of Citrus Huanglongbing and Zinc Deficiency in Leaves of 'Valencia' Sweet Orange from Commercial Groves

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 ‘Valen...

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Published in:Phytochemical analysis 2011-05, Vol.22 (3), p.236-246
Main Authors: Cevallos-Cevallos, Juan Manuel, García-Torres, Rosalía, Etxeberria, Edgardo, Reyes-De-Corcuera, José Ignacio
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container_start_page 236
container_title Phytochemical analysis
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creator Cevallos-Cevallos, Juan Manuel
García-Torres, Rosalía
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Reyes-De-Corcuera, José Ignacio
description 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, β‐elemene, (‐)trans‐ caryophyllene, and α‐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, α‐selinene, β‐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 © 2010 John Wiley & Sons, Ltd.
doi_str_mv 10.1002/pca.1271
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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, β‐elemene, (‐)trans‐ caryophyllene, and α‐humulene. Significant (P &lt; 0.05) differences in oxo‐butanedioic acid, arabitol, and neo‐inositol were exclusively detected in samples from plants with zinc deficiency. Levels of isocaryophyllen, α‐selinene, β‐selinene, and fructose were significantly (P &lt; 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. 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Significant (P &lt; 0.05) differences in oxo‐butanedioic acid, arabitol, and neo‐inositol were exclusively detected in samples from plants with zinc deficiency. Levels of isocaryophyllen, α‐selinene, β‐selinene, and fructose were significantly (P &lt; 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. 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source Wiley-Blackwell Read & Publish Collection
subjects biomarker
Biomarkers
citrus
Citrus - chemistry
Citrus - metabolism
Citrus - microbiology
Gas Chromatography-Mass Spectrometry - methods
GC-MS
Huanglongbing
metabolomics
Metabolomics - methods
Plant Diseases - classification
Plant Diseases - microbiology
Plant Extracts - chemistry
Plant Leaves - chemistry
Plant Leaves - metabolism
Plant Leaves - microbiology
Principal Component Analysis
Solid Phase Microextraction - methods
Zinc - metabolism
zinc deficiency
title GC-MS Analysis of Headspace and Liquid Extracts for Metabolomic Differentiation of Citrus Huanglongbing and Zinc Deficiency in Leaves of 'Valencia' Sweet Orange from Commercial Groves
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