Mahdavi, V., Nouri, M. (2019). Metabolomics Analysis Using Decision Tree to Differentiate between Rice Plants without Contamination and the Ones under Diazinon Stress. , 6(2), 111-124. doi: 10.22092/jppps.2019.123472
Vahideh Mahdavi; Mohammad Zaman Nouri. "Metabolomics Analysis Using Decision Tree to Differentiate between Rice Plants without Contamination and the Ones under Diazinon Stress". , 6, 2, 2019, 111-124. doi: 10.22092/jppps.2019.123472
Mahdavi, V., Nouri, M. (2019). 'Metabolomics Analysis Using Decision Tree to Differentiate between Rice Plants without Contamination and the Ones under Diazinon Stress', , 6(2), pp. 111-124. doi: 10.22092/jppps.2019.123472
Mahdavi, V., Nouri, M. Metabolomics Analysis Using Decision Tree to Differentiate between Rice Plants without Contamination and the Ones under Diazinon Stress. , 2019; 6(2): 111-124. doi: 10.22092/jppps.2019.123472

Metabolomics Analysis Using Decision Tree to Differentiate between Rice Plants without Contamination and the Ones under Diazinon Stress

آفت کش ها در علوم گیاه پزشکی
Volume 6, Issue 2 - Serial Number 11, August 2020, Pages 111-124    PDF (1.09 M)
DOI: 10.22092/jppps.2019.123472
Authors
Vahideh Mahdavi* 1; Mohammad Zaman Nouri2
1Department of Pesticide Research, Iranian Research Institute of Plant Protection, Agricultural Research, Education and Extension Organization (AREEO), Tehran, Iran.
2Rice Research Institute of Iran-Mazandaran Branch, Agricultural Research, Education and Extension Organization (AREEO), Amol, Iran.
Abstract
Presenting an effective classification procedure that discriminates between unexposed and exposed plant samples with pesticide, can be very important and efficient to increase quality control in agricultural products and food safety. The proposed method shows a pattern for discriminating between rice plant without contamination and those treated with diazinon. The aim of this study was to investigate the metabolic changes of shiroodi cultivar rice plant (the most common cultivar in Iran) in response to diazinon and to evaluate the dynamic changes in the concentration levels of metabolites over time. For this purpose, after treating the rice plant with diazinon, un-volatile metabolites were derivatized to make volatile and analyzable compounds with gas chromatography, and the metabolite profile was investigated using GC-MS. Using Classification and Regression Tree (CART), the metabolites that showed the most changes under diazinon stress were identified. For the first time, CART was used to model and predict the metabolic changes of control and under diazinon stress rice plant. The results of the analysis showed that, the most intensive changes were related to amino acids particularly phenylalanine and proline. The results obtained, also, show that CART   can be a very powerful tool for discriminating between exposed and un-exposed plants.
Keywords
Metabolomics; Diazinon; Rice; Classification and regression tree
References
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