In Silico Analysis of Arabidopsis thaliana Gene Expression Changes Against Four Different Insect Attackers
Understanding the gene regulatory network of plants in response to different attackers are important to elicit unique and common mechanisms of plant defense. Until recently, accumulations of the massive gene-expression data brought an opportunity to reach this aim. In silico-based approaches offer exclusion of regulatory mechanisms of every single gene and/or gene clusters in the genome by analysis. Collecting valuable biological information by this approach can give us an opportunity to make profound experimental sets and it can speed up the process on our understanding of gene regulatory mechanisms. In this study, we used in silico analysis of published Arabidopsis thaliana gene expression data against four insect species; Pieris rapae, Frankliniella occidentalis, Myzus persicae, Brevicoryne brassicae. We identified and compared plant genes that are differentially regulated upon infection by these insects. According to our results, although a small number of gene numbers were commonly upregulated by four of these insects, each insect species uniquely induced plant gene regulatory network. Functional analysis of these genes and the gene regulatory sequences (promoters, motifs etc.), as well as analysis of metabolic and physiological networks, can help on understanding the gene regulation mechanisms of plant defense networks against insects.