Abstract
Iron is one of the essential micronutrients to rice, but the accumulation of excessive ferrous salt in soil can cause toxicity. In this study, bioinformatics method was used to mine the data of Affymetrix rice gene expression microarray to study the differentially expressed genes of rice germplasm EPAGRI 108 under control and excess Fe conditions. The results revealed that 407 genes with more than two fold difference were identified. Compared to the control group, 330 genes were up regulated and 77 genes were down regulated under excess Fe stress. Gene Ontology and pathway analysis revealed that these differentially expressed genes were mainly involved in the biological processes such as oxidoreductase activity, glucose metabolism, amino acid metabolism, etc. Through these data analysis, we preliminarily explored the gene expression patterns of rice under excess Fe conditions, and provided a theoretical basis for further investgating the molecular mechanism tolerating for rice tolerance to Fe toxicity.
Highlights
Iron is an essential nutrient element for plants, and it participates in plant photosynthesis, respiration, nitrogen metabolism and other important biological processes
We preliminarily explored the gene expression patterns of rice under excess Fe conditions, and provided a theoretical basis for further investgating the molecular mechanism tolerating for rice tolerance to Fe toxicity
The iron toxicity tolerance based on the stem may be related to the two glutathione S-transferases located on chromosome 1 of rice, and they are induced to express under iron toxicity stress (Matthus et al, 2015)
Summary
1.1 Screening of differentially expressed genes under iron toxicity stress vs control treatment After using oligo, affy, and limma toolkits to compare the sample data of different treatments, a total of 407 differentially expressed genes were identified (FC>2 or FC
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