Analysis of Transcriptomic Responses to Citrus Greening Disease Via Data Mining

Document Type : Research Paper

Authors

1 Assistant Professor, Department of Agroecology, College of Agriculture and Natural Resources of Darab, Darab University, Darab, Iran

2 Assistant Professor, Department of Plant Production, College of Agriculture and Natural Resources of Darab, Darab University, Darab, Iran

3 Postdoc Student, Department of Biotechnology, Faculty of Agriculture, Shiraz University, Shiraz, Iran

Abstract

Citrus greening disease is the most destructive citrus disease in most citrus-producing countries around the world and causes significant economic losses in severely affected areas. In order to reveal the genes that may be involved in disease tolerance, microarray data of gene expression of susceptible and tolerant genotypes to citrus greening disease with accession number GSE30502 was retrieved from GEO repository database NCBI and analyzed by RapidMiner Studio 7.6 by eight weighting algorithms (Information gain, Information gain ratio, Deviation, Correlation, Chi squared statistic, Gini Index, Uncertainty, Relief). After identifying key probes by weighting algorithms, heatmap and hierarchical clustering were performed to evaluate the strength of detected probes in differentiating tolerant and susceptible genotypes using Clustvis web tool. Applying weighting algorithms resulted in the identification of 145 probes. According to the heatmap, there was a significant contrast in the expression of the identified probes between the samples of the tolerant genotype and the samples of the susceptible genotype. Also, based on hierarchical clustering, samples related to tolerant genotype and susceptible genotype were placed in separate clusters. A search to determine transcription factors and protein kinases using the iTAK site resulted in the identification of five transcription factors and four different protein kinases. Besides, the abundance of transcripts of the genes involved in hypersensitivity response were higher in the tolerant genotype than in the susceptible genotype, suggesting the activation of hypersensitivity reaction as one of the principal defense strategies against citrus greening disease. The genes identified in this study can be introduced as key candidates to investigate their exact role in citrus greening disease tolerance as well as potential targets for biotechnology approaches.

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