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. 2021 Dec;12(1):108-116.
doi: 10.1080/21655979.2020.1860479.

A genome-wide survey of interaction between rice and Magnaporthe oryzae via microarray analysis

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A genome-wide survey of interaction between rice and Magnaporthe oryzae via microarray analysis

Yanping Tan et al. Bioengineered. 2021 Dec.

Abstract

The main aim of the work is to study the regulation of gene expression in the interaction between rice and Magnaporthe oryzae by gene chip technology. In this study, we mainly focused on changes of gene expression at 24, 48, and 72 hours post-inoculation (hpi), through which we could conduct a more comprehensive analysis of rice blast-related genes in the process of infection. The results showed that the experimental groups contained 460, 1227, and 3937 significant differentially expressed genes at 24, 48, and 72 hpi, respectively. Furthermore, 115 significantly differentially expressed genes were identified in response to rice blast infection at all three time points. By annotating these 115 genes, they were divided into three categories: metabolic pathways, proteins or enzymes, and organelle components. As expected, many of these genes were known rice blast-related genes; however, we discovered new genes with high fold changes. Most of them encoded conserved hypothetical proteins, and some were hypothetically conserved genes. Our study may contribute to finding new resistance genes and understanding the mechanism of rice blast development.

Keywords: Magnaporthe oryzae; Rice; interaction; microarray.

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Conflict of interest statement

No potential conflict of interest was reported by the authors.

Figures

None
Graphical abstract
Figure 1.
Figure 1.
The expression level of the genes chosen for confirmation by QRT-PCR at three time points
Figure 2.
Figure 2.
Trend analysis and annotation of the 115 significantly differentially expressed genes. (a) Using stem software to cluster the change trend of the 115 genes during the three time points. Marked color chart is a significant trend, such as the thirteenth and fifteenth diagram. (b) Three categories of the significant trend genes according to different functions by AgriGO database. C, F and P corresponding to cellular component, molecular function, and biological process, respectively. (c) KEGG analysis of the significant trend genes

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Grants and funding

This work was supported by the Fundamental Research Funds for the Central Universities South-Central University for Nationalities (CZY20035); the National Natural Science Foundation of China [31370306].