鞭毛蛋白
拟南芥
免疫系统
核糖核酸
拟南芥
生物
细胞
细胞生物学
T细胞
化学
分子生物学
基因
遗传学
突变体
作者
Zhixin Liu,Yaping Zhou,Yumeng Liu,Aizhi Qin,Susu Sun,Hao Liu,Jincheng Yang,Mengke Hu,Yajie Xie,Xiao Song,Peibo Gao,Enzhi Guo,Shui Wang,Luís Herrera‐Estrella,Lam‐Son Phan Tran,Xuwu Sun
摘要
Plant immune responses can inhibit the growth and development of seedlings and alter cell differentiation. The cell types most vulnerable to the immunity stress induced by plant defense responses and the extent to which cell differentiation is altered remain largely unknown. Here, we report on the exploration of single-cell RNA-sequencing approach to identify genes and regulatory processes underlying the fate and development of cotyledon cell types of wild-type (WT) and flagellin sensing 2 (fls2) mutant seedlings in response to the bacterial flagellin epitope flg22. After the treatment with flg22, two new immune response-induced cells (IMC) types were detected in WT but not in the fls2 seedlings. Immune-response marker genes were highly expressed in one IMC type, while photosynthesis-related genes in the other IMC type. Changes in cell differentiation were investigated using pseudotime trajectory analysis. Treatment of seedlings with flg22 affected both interactions and differentiation of various cell types of the cotyledon. Gene ontology analysis revealed that genes involved in hypoxia signaling were upregulated in almost all cell types in response to the activation of innate immunity. Subsequent analysis indicated that hypoxia signaling interacts with immune response signaling and plays a role in both seedling and IMC development. Transcription factor network analysis and subsequent loss-of-function analysis revealed that the APETALA2/ethylene-responsive transcription factor ERF13 plays an important role in regulating IMC differentiation both in innate immunity and under hypoxia stress. Results of our study provide new insights into how the interaction between innate immune response and hypoxia signaling regulates cell differentiation.
科研通智能强力驱动
Strongly Powered by AbleSci AI