Comparison of gene co-networks analysis provide a systems view of rice (Oryza sativa L.) response to Tilletia horrida infection
| Autor: | Wenjuan Zhao, Aiping Zheng, Aijun Wang, Xinyue Shu, Xianyu Niu, Ping Li, Peng Ai |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
0301 basic medicine
Gene Identification and Analysis lcsh:Medicine Gene Expression Genetic Networks Biochemistry Gene Expression Regulation Plant Genotype Gene expression Gene Regulatory Networks lcsh:Science Ustilaginales Disease Resistance Plant Proteins Genetics Multidisciplinary biology Eukaryota Plants Phenotype Experimental Organism Systems Metabolic Pathways Network Analysis Research Article Signal Transduction Computer and Information Sciences Fungus Research and Analysis Methods Biosynthesis 03 medical and health sciences Plant and Algal Models DNA-binding proteins Gene Regulation Grasses Gene Tilletia horrida Plant Diseases Oryza sativa lcsh:R Organisms Biology and Life Sciences Proteins Oryza Cell Biology biology.organism_classification Regulatory Proteins Amino Acid Metabolism 030104 developmental biology Metabolism Smut Animal Studies lcsh:Q Rice Transcription Factors |
| Zdroj: | PLoS ONE PLoS ONE, Vol 13, Iss 10, p e0202309 (2018) |
| ISSN: | 1932-6203 |
| Popis: | The biotrophic soil-borne fungus Tilletia horrida causes rice kernel smut, an important disease affecting the production of rice male sterile lines in most hybrid rice growing regions of the world. There are no successful ways of controlling this disease and there has been little study of mechanisms of resistance to T. horrida. Based on transcriptional data of different infection time points, we found 23, 782 and 23, 718 differentially expressed genes (fragments per kilobase of transcript sequence per million, FPKM >1) in Jiangcheng 3A (resistant to T. horrida) and 9311A (susceptible to T. horrida), respectively. In order to illuminate the differential responses of the two rice male sterile lines to T. horrida, we identified gene co-expression modules using the method of weighted gene co-expression network analysis (WGCNA) and compared the different biological functions of gene co-expression networks in key modules at different infection time points. The results indicated that gene co-expression networks in the two rice genotypes were different and that genes contained in some modules of the two groups may play important roles in resistance to T. horrida, such as DTH8 and OsHop/Sti1a. Furthermore, these results provide a global view of the responses of two different phenotypes to T. horrida, and assist our understanding of the regulation of expression changes after T. horrida infection. |
| Databáze: | OpenAIRE |
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