Abstract
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.
Highlights
Plants are under the attack of different kind of pathogens and this provokes economical losses all around the world[1]
We identified 22,595 novel tomato transcripts which were used as input for a pipeline that allowed the prediction of 2609 putative long noncoding RNAs (lncRNAs) transcriptionally active in tomato leaves under these conditions (Table S2)
The remaining transcripts without match to those previously identified could account for lncRNAs that are transcriptionally active upon elicitation of tomato immune response by Pseudomonas spp. or microbe-associated molecular patterns (MAMPs) challenges and time-points used in this work (30 min and 6 h)
Summary
Plants are under the attack of different kind of pathogens and this provokes economical losses all around the world[1]. Pattern recognition receptors (PRRs) are on the surface of the plant cell and can recognize microbe-associated molecular patterns (MAMPs), activating an immune response named pattern-triggered immunity (PTI)[4]. This response includes production of reactive oxygen species (ROS), callose deposition into the apoplast, activation of MAP kinase cascades, increase of intracellular calcium concentration and transcriptional r eprograming[5,6,7,8]. Pathogenic bacteria such as Pseudomonas syringae pv. Resistant tomatoes can detect these two effectors through a protein kinase Pto that jointly with the NLR Prf, activate a strong ETI18,24–26
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