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)

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Summary

Introduction

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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