Update on Receptors and Signaling

Cheung, Alice Y.; Qu, Li‐Jia; Russinova, Eugenia; Zhao, Yunde; Zipfel, Cyril

doi:10.1104/pp.20.00275

Cited by 22 publications

(15 citation statements)

References 23 publications

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“…To consider Arabidopsis genes involved in DAMPs or in PAMPs responses, we collected the list of known or putative receptors, mainly considering those responsive to extracellular nucleic acids, described in the literature [ 9 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 , 64 ]. Moreover, we also considered the expression patterns in both self and nonself-DNA treatments comparing the behaviour per stage ( Table S8a ).…”

Section: Resultsmentioning

confidence: 99%

Arabidopsis thaliana Response to Extracellular DNA: Self Versus Nonself Exposure

Chiusano

Incerti

Colantuono

et al. 2021

Plants

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The inhibitory effect of extracellular DNA (exDNA) on the growth of conspecific individuals was demonstrated in different kingdoms. In plants, the inhibition has been observed on root growth and seed germination, demonstrating its role in plant–soil negative feedback. Several hypotheses have been proposed to explain the early response to exDNA and the inhibitory effect of conspecific exDNA. We here contribute with a whole-plant transcriptome profiling in the model species Arabidopsis thaliana exposed to extracellular self- (conspecific) and nonself- (heterologous) DNA. The results highlight that cells distinguish self- from nonself-DNA. Moreover, confocal microscopy analyses reveal that nonself-DNA enters root tissues and cells, while self-DNA remains outside. Specifically, exposure to self-DNA limits cell permeability, affecting chloroplast functioning and reactive oxygen species (ROS) production, eventually causing cell cycle arrest, consistently with macroscopic observations of root apex necrosis, increased root hair density and leaf chlorosis. In contrast, nonself-DNA enters the cells triggering the activation of a hypersensitive response and evolving into systemic acquired resistance. Complex and different cascades of events emerge from exposure to extracellular self- or nonself-DNA and are discussed in the context of Damage- and Pathogen-Associated Molecular Patterns (DAMP and PAMP, respectively) responses.

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Section: Resultsmentioning

confidence: 99%

Arabidopsis thaliana Response to Extracellular DNA: Self Versus Nonself Exposure

Chiusano

Incerti

Colantuono

et al. 2021

Plants

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“…Our results clearly show that the main LysM-RLKs CERK1 and LYK4 are not involved in cello-oligosaccharide perception ( Table 1). The study of signal transduction in plants has expanded dramatically from the early efforts to define the basic components of signaling for most known hormones and environmental stresses to the current search for PRR/ligand pairs (Cheung et al, 2020). Different types of ECD-PRRs mediate the perception of distinct MAMPs/DAMPs triggering immunity; however, the identification of receptor PRRs for a given ligand is only the tip of the iceberg.…”

Section: Discussionmentioning

confidence: 99%

“…CRKs constitute the most abundant subclass (68 members), followed by L‐ and G‐lectins and malectins (55, 51 and 51 members, respectively; Figure 1). Some members of these groups have already been demonstrated to interact with carbohydrates and others have been associated with the binding of patterns of different nature (Schallus et al ., 2008; de Oliveira Figueiroa et al ., 2017; Bacete et al ., 2018; Moussu et al ., 2018; Cheung et al ., 2020).…”

Section: Discussionmentioning

confidence: 99%

Computational prediction method to decipher receptor–glycoligand interactions in plant immunity

et al. 2021

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Microbial and plant cell walls have been selected by the plant immune system as a source of microbe-and plant damage-associated molecular patterns (MAMPs/DAMPs) that are perceived by extracellular ectodomains (ECDs) of plant pattern recognition receptors (PRRs) triggering immune responses. From the vast number of ligands that PRRs can bind, those composed of carbohydrate moieties are poorly studied, and only a handful of PRR/glycan pairs have been determined. Here we present a computational screening method, based on the first step of molecular dynamics simulation, that is able to predict putative ECD-PRR/ glycan interactions. This method has been developed and optimized with Arabidopsis LysM-PRR members CERK1 and LYK4, which are involved in the perception of fungal MAMPs, chitohexaose (1,4-b-D-(GlcNAc) 6) and laminarihexaose (1,3-b-D-(Glc) 6). Our in silico results predicted CERK1 interactions with 1,4-b-D-(GlcNAc) 6 whilst discarding its direct binding by LYK4. In contrast, no direct interaction between CERK1/laminarihexaose was predicted by the model despite CERK1 being required for laminarihexaose immune activation, suggesting that CERK1 may act as a co-receptor for its recognition. These in silico results were validated by isothermal titration calorimetry binding assays between these MAMPs and recombinant ECDs-LysM-PRRs. The robustness of the developed computational screening method was further validated by predicting that CERK1 does not bind the DAMP 1,4-b-D-(Glc) 6 (cellohexaose), and then probing that immune responses triggered by this DAMP were not impaired in the Arabidopsis cerk1 mutant. The computational predictive glycan/PRR binding method developed here might accelerate the discovery of protein-glycan interactions and provide information on immune responses activated by glycoligands.

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“…Being sessile organisms, plants evolved multiple defense and acclimation mechanisms that enable them to respond rapidly to different stimuli and/or stress conditions in their environment (Cheung et al ., 2020; Edel et al ., 2017; Kollist et al ., 2019; Zhu, 2016). Changes in light intensity, temperature, humidity, and/or herbivore or pathogen attack, for example, activate within seconds different signal transduction pathways that regulate different molecular, metabolic and physiological responses, critical for plant survival during stress (Kollist et al ., 2019; Suzuki et al ., 2015).…”

Section: Introductionmentioning

confidence: 99%

Integration of electric, calcium, reactive oxygen species and hydraulic signals during rapid systemic signaling in plants

Fichman

Mittler

2021

The Plant Journal

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The sensing of abiotic stress, mechanical injury or pathogen attack by a single plant tissue results in the activation of systemic signals that travel from the affected tissue to the entire plant. This process is essential for plant survival during stress and is termed systemic signaling. Among the different signals triggered during this process are calcium, electric, reactive oxygen species and hydraulic signals. These are thought to propagate at rapid rates through the plant vascular bundles and to regulate many of the systemic processes essential for plant survival. Although the different signals activated during systemic signaling are thought to be interlinked, their coordination and hierarchy still need to be determined. Here, using a combination of advanced whole-plant imaging and hydraulic pressure measurements, we studied the activation of all four systemic signals in wild-type and different Arabidopsis thaliana mutants subjected to a local treatment of high-light (HL) stress or wounding. Our findings reveal that activation of systemic membrane potential, calcium, reactive oxygen species and hydraulic pressure signals, in response to wounding, is dependent on glutamate receptor-like proteins 3.3 and 3.6. In contrast, in response to HL stress, systemic changes in calcium and membrane potential depended on glutamate receptor-like 3.3 and 3.6, while systemic hydraulic signals did not. We further show that plasmodesmata functions are required for systemic changes in membrane potential and calcium during responses to HL stress or wounding. Our findings shed new light on the different mechanisms that integrate different systemic signals in plants during stress.

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Update on Receptors and Signaling

Cited by 22 publications

References 23 publications

Arabidopsis thaliana Response to Extracellular DNA: Self Versus Nonself Exposure

Arabidopsis thaliana Response to Extracellular DNA: Self Versus Nonself Exposure

Computational prediction method to decipher receptor–glycoligand interactions in plant immunity

Integration of electric, calcium, reactive oxygen species and hydraulic signals during rapid systemic signaling in plants

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