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Detection and Seasonal Variations of Huanglongbing Disease in Navel Orange Trees Using Direct Ionization Mass Spectrometry

Author:
Li, Wen, Yao, Ya-Nan, Wu, Lin, Hu, Bin
Source:
Journal of agricultural and food chemistry 2019 v.67 no.8 pp. 2265-2271
ISSN:
1520-5118
Subject:
Citrus sinensis, biomarkers, discriminant analysis, greening disease, least squares, leaves, mass spectrometry, metabolites, monitoring, principal component analysis, rapid methods, seasonal variation, stems, tree diseases, trees
Abstract:
Citrus greening disease [Huanglongbing (HLB)] is the most destructive disease of citrus. In this work, we have established a metabolite-based mass spectrometry (MS) method for rapid detection of HLB in navel orange trees. Without sample pretreatment, characteristic mass spectra can be directly obtained from the raw plant samples using the direct MS method. The whole detection process can be accomplished within 1 min. By monitoring and comparisons of the healthy and infected plants throughout a whole year, characteristic MS peaks of metabolites are found to be specific responses from infected plants and, thus, could be used as biomarkers for detection of HLB. Therefore, HLB could be directly detected in the asymptomatic samples, such as stems, using this metabolite-based direct MS method. In addition, principal component analysis and partial least squares discriminant analysis modes of metabolites from healthy and infected trees were established for investigating differentiation and seasonal variations of HLB in leaves, veins, and stems, providing valuable information for understanding the HLB in different seasons.
Agid:
6322962