Bioscience Methods 2024, Vol.15, No.3, 102-113 http://bioscipublisher.com/index.php/bm 106 for understanding plant-microbe interactions at the genomic level Jeon et al., 2020). Another important discovery was made using a subtractive hybridization-assisted screening method, which identified 32 distinct genes involved in the rice-Magnaporthe oryzae interaction. This approach efficiently isolated candidate genes that play roles in the disease process, demonstrating the utility of functional screening in elucidating the roles of differentially expressed genes in plant-pathogen interactions (Chang et al., 2019). Figure 1 MapMan analysis and comparison of the metabolic changes in IR24 rice at 1 and 3 d after infection with the mutants ΔxanA and Δimp relative to those with PXO99A infection (Adopted from Wu et al., 2021) Image caption: MapMan analysis and comparison of the metabolic changes in IR24 rice at 1 and 3 d after infection with the mutants ΔxanA and Δimp relative to those with PXO99A infection. In each comparison group, the corresponding DEGs with |log2 (fold change)| ≥ 1 were imported into MapMan software. The gray circles indicate that no differentially expressed genes were matched in this process. The red and blue squares attached to each metabolic pathway represent up- and downregulated genes, respectively. The color intensity represents the gene expression level (log2 ratio mutant/PXO99A), as indicated by the color scale (Adopted from Wu et al., 2021) Furthermore, a comparative transcriptome analysis between Rice black-streaked dwarf virus (RBSDV)-infected and non-infected rice plants revealed a network of differentially expressed long non-coding RNAs (lncRNAs) and mRNAs. This network suggests that these lncRNAs and mRNAs are crucial in rice's innate immunity against RBSDV, highlighting the regulatory roles of lncRNAs in plant defense mechanisms (Zhang et al., 2020). Simultaneous RNA-Seq analysis of the mixed transcriptome of rice and blast fungus during infection provided insights into the gene expression profiles of both organisms. This study identified upregulated fungal transcripts encoding putative secreted proteins, glycosyl hydrolases, cutinases, and LysM domain-containing proteins, which are likely involved in the initial infection processes. Concurrently, rice pathogenesis-related and phytoalexin biosynthetic genes were also upregulated, indicating a coordinated defense response (Kawahara et al., 2012).
RkJQdWJsaXNoZXIy MjQ4ODY0NQ==