Metabolic fingerprinting to discriminate diseases of stored carrots

Vikram, A; Lui, LH; Hossain, A; Kushalappa, AC

HERO ID

1463495

Reference Type

Journal Article

Year

2006

HERO ID 1463495
In Press No
Year 2006
Title Metabolic fingerprinting to discriminate diseases of stored carrots
Authors Vikram, A; Lui, LH; Hossain, A; Kushalappa, AC
Journal Annals of Applied Biology
Volume 148
Issue 1
Page Numbers 17-26
Abstract Volatile metabolites from headspace gas of carrot cv. Vita-treat inoculated with water or four different pathogens Botrytis cinerea, Erwinia carotovora subsp. carotovora, Aspergillus niger and Fusarium avenaceum were profiled using gas chromatography and mass spectrometry to develop a technology to discriminate diseases. The inoculation of carrot roots with water or different pathogens released a total of 137 different volatile metabolites. Among them, 39 compounds were relatively consistent and 11 were specific to one or more diseases/inoculations. E. carotovora subsp. carotovora produced seven disease-specific metabolites: 1-butanol, 3-methyl; 1-pentanol; 1-propanol, 2-methyl; 2,3-butanedione; boronic acid, ethyl; butane, 1-methoxy-3-methyl; and ethane, ethoxy. Some metabolites were disease/inoculation discriminatory and were not detected in all treatments: 1,2-dimethoxy-ethene was common in carrots inoculated with E. carotovora subsp. carotovora and B. cinerea, while 2-butanone, 3-chloro-4-hydroxy-1,4-diphenyl was common in carrots inoculated with E. carotovora subsp. carotovora, F. avenaceum and water-inoculated control. The significant mass ions, based on univariate analysis, from a total of 150 (46-195 m/z) and compounds from a total of 32 were further subjected to stepwise discriminant analysis and discriminant analysis. The models for 3 days after inoculation (DAI) were better than those for 6 DAI and 3 + 6 DAI, where up to 90% of the observations were correctly classified into respective inoculations. The disease-discriminatory compounds from different diseases/inoculations and discriminant analysis models developed here have the potential for the early detection and discrimination of postharvest diseases of carrot cv. Vita-treat, after validation under commercial conditions.
Doi 10.1111/j.1744-7348.2005.00036.x
Wosid WOS:000236635300003
Url http://doi.wiley.com/10.1111/j.1744-7348.2005.00036.x
Is Certified Translation No
Dupe Override No
Comments Source: Web of Science WOS:000236635300003
Is Public Yes
Keyword discriminant analysis; disease detection; metabolic profiling; metabolomics; volatile metabolites