Rosli Hernan G, Sirvent Emilia, Bekier Florencia N, Ramos Romina N, Pombo Marina A
Instituto de Fisiología Vegetal, INFIVE, Universidad Nacional de La Plata, CONICET, La Plata, Buenos Aires, Argentina.
Facultad de Ciencias Exactas, Universidad Nacional de La Plata, La Plata, Buenos Aires, Argentina.
Sci Rep. 2021 Dec 31;11(1):24523. doi: 10.1038/s41598-021-04005-0.
Plants rely on (in)direct detection of bacterial pathogens through plasma membrane-localized and intracellular receptor proteins. Surface pattern-recognition receptors (PRRs) participate in the detection of microbe-associated molecular patterns (MAMPs) and are required for the activation of pattern-triggered immunity (PTI). Pathogenic bacteria, such as Pseudomonas syringae pv. tomato (Pst) deploys ~ 30 effector proteins into the plant cell that contribute to pathogenicity. Resistant plants are capable of detecting the presence or activity of effectors and mount another response termed effector-triggered immunity (ETI). In order to investigate the involvement of tomato's long non-coding RNAs (lncRNAs) in the immune response against Pst, we used RNA-seq data to predict and characterize those that are transcriptionally active in leaves challenged with a large set of treatments. Our prediction strategy was validated by sequence comparison with tomato lncRNAs described in previous works and by an alternative approach (RT-qPCR). Early PTI (30 min), late PTI (6 h) and ETI (6 h) differentially expressed (DE) lncRNAs were identified and used to perform a co-expression analysis including neighboring (± 100 kb) DE protein-coding genes. Some of the described networks could represent key regulatory mechanisms of photosynthesis, PRR abundance at the cell surface and mitigation of oxidative stress, associated to tomato-Pst pathosystem.
植物依靠位于质膜和细胞内的受体蛋白直接(或间接)检测细菌病原体。表面模式识别受体(PRR)参与微生物相关分子模式(MAMP)的检测,是激活模式触发免疫(PTI)所必需的。致病细菌,如丁香假单胞菌番茄致病变种(Pst),会向植物细胞中分泌约30种效应蛋白,这些蛋白有助于致病。抗性植物能够检测效应蛋白的存在或活性,并引发另一种称为效应物触发免疫(ETI)的反应。为了研究番茄长链非编码RNA(lncRNA)在针对Pst的免疫反应中的作用,我们使用RNA测序数据来预测和表征那些在受到大量处理挑战的叶片中转录活跃的lncRNA。我们的预测策略通过与先前研究中描述的番茄lncRNA进行序列比较以及另一种方法(RT-qPCR)得到验证。我们鉴定了早期PTI(30分钟)、晚期PTI(6小时)和ETI(6小时)差异表达(DE)的lncRNA,并用于进行共表达分析,包括相邻的(±100 kb)DE蛋白质编码基因。一些所描述的网络可能代表了与番茄 - Pst病理系统相关的光合作用、细胞表面PRR丰度以及氧化应激缓解的关键调控机制。