Application of Time Series Methods to Predict the Process of Expression of Defense Genes in Wheat During Infection whit Zymoseptoria tritici

Authors

1 Department of Horticultural Sciences, Faculty of Agriculture & Natural Resources, Ardakan University, P.O. Box 184, Ardakan, 8951895491, Iran

2 Assistant Professor, National Institute of Genetic Engineering and Biotechnology

Abstract

Abstract
The measurement of the level of defense genes expression is a useful method for investigating the resistance mechanisms of plants, but it is also time consuming and costly. In this study, it was investigated the effect of salicylic acid on the defense genes expression involved in the resistance of wheat inoculated with Z. tritici, by reverse northern blot method. In this research, the amount of genes expression was measured including NADPH oxidase, oxalate oxidase, stress responsive protein and glutathione S transferase superoxide dismutase was by reverse northern Blot method. In the next step, based on the information of reverse northern Blot method, it was predicted the rate of genes expression using prediction methods including simple moving average, weighted moving average and single exponential smoothing. The highest genes expression was observed at 24 hours after pathogen inoculation, in both treatments; however, there were differences for each gene, but the overall trend was incremental. The results of this study showed that the use of single exponential smoothing method, with regard to calculating and comparing predictive power indexes, has a higher accuracy than two simple and weighted moving averages. The expression of NADPH oxidase, glutathione S transferase and oxalate oxidase genes showed a similar trend, however salicylic acid increased the genes expression to 24 hours after inoculation, and then the rate of expression decreased. Examining gene expression is a very sensitive method, and should be under controlled conditions, and should be the only treatment the researcher can influence on gene expression in the plant. Then, using this information and methods of predicting the expression, predict the next time.
 
 

Keywords

References

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Journal of Applied Research in Plant Protection
Volume 8, Issue 4
March 2020
Pages 81-101

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  • Receive Date: 11 March 2020
  • Accept Date: 11 March 2020

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