Zhao Z, Li M, Zhang H, Yu Y, Ma L, Wang W, Fan Y, Huang N, Wang X, Liu K, Dong S, Tang H, Wang J, Zhang H, Bao Y.

Front Plant Sci. 2022 Apr 25;13:853195. doi: 10.3389/fpls.2022.853195.

Abstract

Rice blast, caused by Magnaporthe oryzae, is one of the most devastating diseases in rice and can affect rice production worldwide. Rice plasma membrane (PM) proteins are crucial for rapidly and precisely establishing a defense response in plant immunity when rice and blast fungi interact. However, the plant-immunity-associated vesicle trafficking network mediated by PM proteins is poorly understood. In this study, to explore changes in PM proteins during M. oryzae infection, the PM proteome was analyzed via iTRAQ in the resistant rice landrace Heikezijing. A total of 831 differentially expressed proteins (DEPs) were identified, including 434 upregulated and 397 downregulated DEPs. In functional analyses, DEPs associated with vesicle trafficking were significantly enriched, including the "transport" term in a Gene Ontology enrichment analysis, the endocytosis and phagosome pathways in a Encyclopedia of Genes and Genomes analysis, and vesicle-associated proteins identified via a protein-protein interaction network analysis. OsNPSN13, a novel plant-specific soluble N-ethylmaleimide-sensitive factor attachment protein receptor (SNARE) 13 protein, was identified as an upregulated DEP, and transgenic plants overexpressing this gene showed enhanced blast resistance, while transgenic knockdown plants were more susceptible than wild-type plants. The changes in abundance and putative functions of 20 DEPs revealed a possible vesicle trafficking network in the M. oryzae-rice interaction. A comparative proteomic analysis of plasma membrane proteins in rice leaves revealed a plant-immunity-associated vesicle trafficking network that is provoked by blast fungi; these results provide new insights into rice resistance responses against rice blast fungi.

See: https://pubmed.ncbi.nlm.nih.gov/35548300/

Figure 2. Quantitative identification of proteins from the iTRAQ analysis. (A) Distribution of the number of unique peptides for the identified proteins. The X-axis is the scope of the unique peptides, the left Y-axis is the number of proteins, and the right Y-axis is the cumulative percent. (B) Volcano plot of the proteins identified. The X-axis specifies the fold change between 24 h/0 h, and the Y-axis specifies the -log10 (FDR); upregulated, downregulated and non-significant proteins are shown as red, blue, and gray dots, respectively; gray vertical and horizontal lines reflect the filtering criteria (fold change > 1.1 or < 0.909 and FDR < 0.1). (C) The number of total proteins and DEPs (including upregulated and downregulated). (D) The distribution of DEP fold changes.