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. 2025 May 2;12:RP90309. doi: 10.7554/eLife.90309

Interdependence of plasma membrane nanoscale dynamics of a kinase and its cognate substrate underlies Arabidopsis response to viral infection

Marie-Dominique Jolivet 1, Anne Flore Deroubaix 1, Marie Boudsocq 2, Nikolaj B Abel 3,4,, Marion Rocher 1, Terezinha Robbe 1, Valérie Wattelet-Boyer 1, Jennifer Huard 1, Dorian Lefebvre 2, Yi-Ju Lu 5, Brad Day 5, Grégoire Saias 1, Jahed Ahmed 1, Valérie Cotelle 6, Nathalie Giovinazzo 7, Jean-Luc Gallois 7, Yasuyuki Yamaji 8, Sylvie German-Retana 9, Julien Gronnier 1,10, Thomas Ott 3,4,11, Sébastien Mongrand 1, Véronique Germain 1,
Editors: Yoselin Benitez-Alfonso12, Detlef Weigel13
PMCID: PMC12048157  PMID: 40315285

Abstract

Plant viruses represent a risk to agricultural production and as only a few treatments exist, it is urgent to identify resistance mechanisms and factors. In plant immunity, plasma membrane (PM)-localized proteins play an essential role in sensing the extracellular threat presented by bacteria, fungi, or herbivores. Viruses are intracellular pathogens and as such the role of the plant PM in detection and resistance against viruses is often overlooked. We investigated the role of the partially PM-bound Calcium-dependent protein kinase 3 (CPK3) in viral infection and we discovered that it displayed a specific ability to hamper viral propagation over CPK isoforms that are involved in immune response to extracellular pathogens. More and more evidence supports that the lateral organization of PM proteins and lipids underlies signal transduction in plants. We showed here that CPK3 diffusion in the PM is reduced upon activation as well as upon viral infection and that such immobilization depended on its substrate, Remorin (REM1.2), a scaffold protein. Furthermore, we discovered that the viral infection induced a CPK3-dependent increase of REM1.2 PM diffusion. Such interdependence was also observable regarding viral propagation. This study unveils a complex relationship between a kinase and its substrate that contrasts with the commonly described co-stabilisation upon activation while it proposes a PM-based mechanism involved in decreased sensitivity to viral infection in plants.

Research organism: A. thaliana

Introduction

Viruses are intracellular pathogens, carrying minimal biological material and strictly relying on their host for replication and propagation. They represent a critical threat to both human health and food security. In particular, potexvirus epidemics like the one caused by pepino mosaic virus dramatically affect crop production (Hanssen and Thomma, 2010) and the lack of chemical treatments available makes it crucial to develop inventive protective methods. Unlike their animal counterparts, which enter host cells by interacting directly with the plasma membrane (PM), plant viruses have to rely either on mechanical wounding or insect vectors to cross the plant cell wall (Hanssen and Thomma, 2010). For this reason, only a few PM-localized proteins were identified as taking part in immunity against viruses (Zorzatto et al., 2015; Ngou et al., 2022). Among them, members of the REMORIN (REM) protein family were shown to be involved in viral propagation, with varying mechanisms depending on the studied viral genera (Cheng et al., 2020; Fu et al., 2018; Ma et al., 2022a; Raffaele et al., 2009; Rocher et al., 2022; Son et al., 2014). REM proteins are well-known for their heterogeneous distribution at the PM, forming nanodomains (ND), PM nanoscale environments that display a composition different from the surrounding PM (Gronnier et al., 2018; Jaillais and Ott, 2020, Jarsch et al., 2014). Increasing evidence supports the role of ND in signal transduction, with the underlying idea that the local accumulation of proteins allows amplification and specification of the signal (Jaillais and Ott, 2020). For example, Arabidopsis RHO-OF-PLANT 6 accumulates in distinct ND upon osmotic stress and auxin treatment in a dose-dependent way for the latter (Platre et al., 2019). Recently, Arabidopsis REM1.2 (later named REM1.2) was demonstrated to form clusters upon exposure to the bacterial effector flg22 to support the condensation of Arabidopsis FORMIN 6 and to induce actin cytoskeleton remodeling (Ma et al., 2022b). However, unlike the canonical mechanism describing the accumulation of proteins in ND upon stimulation (Platre et al., 2019; Ma et al., 2022b; Smokvarska et al., 2020), we showed previously that Solanum tuberosum REM1.3 (StREM1.3) ND were disrupted and the diffusion of individual proteins increased in response to a viral infection (Perraki et al., 2018). StREM1.3 lateral organization in lipid bilayers was also shown to be modified upon its phosphorylation status, both in vitro and in vivo (Perraki et al., 2018; Legrand et al., 2023). The role of such protein dispersion upon stimuli is not understood yet and only a few similar cases are reported in the literature (Martinière et al., 2019; Gournas et al., 2018) REM1.2 was identified as a substrate of the partially membrane-bound calcium-dependent protein kinase 3 (CPK3) (Mehlmer et al., 2010). CPK3 is involved in defense response against herbivores, bacteria, and viruses and was recently proposed to be at cross-roads between pattern-triggered immunity and effector-triggered immunity (Perraki et al., 2018; Kanchiswamy et al., 2010; Lu et al., 2020). We showed previously that transient over-expression of CPK3 in N. benthamiana was able to hamper potato virus X (PVX, potexvirus) cell-to-cell propagation (Perraki et al., 2018). Although partially PM localized, the role of CPK3 PM localization in immunity was never investigated for any pathogen. As the PVX cannot infect Arabidopsis thaliana, the dedicated plant model for genetic studies, we used an alternative virus model able to infect this species, the plantago asiatica mosaic virus (PlAMV) (Minato et al., 2014; Yamaji et al., 2012) to investigate the role of CPK3 and of its PM localization in potexvirus propagation. We were able to highlight the specific role of CPK3 among other immune-related CPKs Boudsocq et al., 2010; Gao et al., 2013; Guzel Deger et al., 2015 in this context. Also, we demonstrated that CPK3 membrane localization was required to hamper viral cell-to-cell propagation, and using single-particle tracking photoactivated light microscopy (spt-PALM), we discovered that CPK3 diffusion was reduced upon activation and viral infection. Interestingly, this reduction of PM diffusion depended on the expression of Group 1 REM while viral-induced REM1.2 increased PM diffusion depended on CPK3. Overall, our data allowed us to propose a model for a PM-localized mechanism involved in the reduction of potexvirus propagation, which will encourage further exploration of the involvement of the PM in viral immunity.

Results

Arabidopsis thaliana CPK3 specifically restricts PlAMV propagation

We previously showed that transient overexpression of Arabidopsis CPK3 in N. benthamiana leaves restricted the propagation of the potexvirus potato virus X (PVX) (Perraki et al., 2018). CPKs are encoded by a large gene family of 34 members in Arabidopsis (Yip Delormel and Boudsocq, 2019). To evaluate the functional redundancy between CPKs regarding viral propagation, a series of Arabidopsis lines mutated for CPK1, CPK2, CPK3, CPK5, CPK6, or CPK11, that are involved in plant resistance to various pathogens (Lu et al., 2020; Boudsocq et al., 2010; Gao et al., 2013; Guzel Deger et al., 2015; Dubiella et al., 2013), were analyzed in a viral propagation assay. Because PVX does not infect Arabidopsis, we used instead a binary plasmid encoding for the genomic structure of a GFP-tagged PlAMV (Minato et al., 2014; Yamaji et al., 2012), a potexvirus that is capable of infecting a wide range of plant hosts, including Arabidopsis. Agrobacterium carrying PlAMV-GFP were infiltrated in A. thaliana leaves and GFP-fluorescent infection foci were observed 5 d post infiltration (dpi) (Figure 1—figure supplement 1). The following combinations of mutants were tested: the cpk1 cpk2 double mutant (Gao et al., 2013), the cpk5 cpk6 double mutant (Boudsocq et al., 2010), the triple mutant cpk5 cpk6 cpk11 (Boudsocq et al., 2010), and the two quadruple mutants cpk1 cpk2 cpk5 cpk6 (Gao et al., 2013) and cpk3 cpk5 cpk6 cpk11 (Guzel Deger et al., 2015). No significant difference of PlAMV-GFP infection foci area was detected between Col-0, cpk1 cpk2, cpk5 cpk6, cpk1 cpk2 cpk5 cpk6 and cpk5 cpk6 cpk11, demonstrating that CPK1, CPK2, CPK5, CPK6 and CPK11 are not involved in PlAMV propagation (Figure 1A and B). However, a 20% increase of PlAMV-GFP infected area was observed in cpk3 cpk5 cpk6 cpk11 quadruple mutant relative to the control Col-0, which indicates that CPK3 could play a specific role in viral propagation. Since group 1 REMs are known substrates of CPK3 (Mehlmer et al., 2010), we checked REM1.2 phosphorylation specificity by the CPK isoforms tested in viral propagation (Figure 1—figure supplement 2). CPK1, 2, and 3 displayed the strongest kinase activity on REM1.2 while CPK5, CPK6, and CPK11 displayed a residual activity. In contrast, all six CPKs phosphorylated the generic substrate histone, suggesting some substrate specificity for REM1.2 in vitro. Since CPK1 and CPK2 were described to be mainly localized within the peroxisome (Dammann et al., 2003) and endoplasmic reticulum (Lu and Hrabak, 2002), respectively, we hypothesize that they likely do not interact in vivo with PM-localized REM1.2 (Huang et al., 2019).

Figure 1. Arabidopsis thaliana calcium-dependent protein kinase 3 (CPK3) is specifically involved in the restriction of plantago asiatica mosaic virus (PlAMV) cell-to-cell movement.

(A) Representative images of PlAMV-GFP infection foci at 5 dpi in the different mutant backgrounds. Scale bar = 500 µm. (B) Box plots of the mean area of PlAMV-GFP infection foci 5 d after infection in CPK multiple mutant lines, normalized to the mean area measured in Col-0. Three independent biological repeats were performed, with at least 47 foci per experiment and per genotype. Significant differences were revealed using a One-Way ANOVA followed by a Tukey’s multiple comparison test. Letters are used to discriminate between statistically different conditions (p<0.05). (C) Box plots of the mean area of PlAMV-GFP infection foci in cpk3-1 and cpk3-2 single mutants and in CPK3 over-expressing lines (Pro35S:CPK3-HA #8.2 and Pro35S:CPK3-HA #16.2), normalized to the mean area measured in Col-0. Three independent biological repeats were performed, with at least 56 foci per experiment and per genotype. Significant differences were revealed using a one-way ANOVA followed by a Tukey’s multiple comparison test. Letters are used to discriminate between statistically different conditions (p<0.05). (D) Representative images of A. thaliana plants infected with PlAMV-GFP and imaged with a CCD Camera from 10 to 17 dpi. The region of interest used for measurement of pixel intensity is circled with a white dotted line. Multicolored scale is used to enhance contrast and ranges from blue (low intensity) to red (high intensity). Scale bar = 4 cm. (E) Box plots of the mean cumulated intensity measured in infected leaves in Col-0, cpk3-2, and Pro35S:CPK3-HA #16.2 during systemic viral propagation. Two independent experiments were conducted. Statistical differences could be observed between the genotypes and time-points using a Kruskal-Wallis followed by a Dunn’s multiple comparison test (p<0.05). For clarity, only the results of the statistical test of the comparison of the different time-points (10, 14, and 17 dpi) within a genotype are displayed and are color-coded depending on the genotype. (F) Kinase activity of CPK3 dead variant. Recombinant proteins GST-CPK3 WT and K107M were incubated with REM1.21-118-6His in kinase reaction buffer in the presence of EGTA (-) or 100 µM free Ca2+ (+). Radioactivity is detected on dried gel (upper panel). The protein amount is monitored by Coomassie staining (lower panel). (G) Box plots of the mean area of PlAMV-GFP infection foci in cpk3-2 complemented lines cpk3-2/Pro35S:CPK3-myc and cpk3−2/Pro35S:CPK3K107M-myc. Three independent biological repeats were performed, with at least 51 foci per experiment and per genotype. Significant differences were revealed using a one-way ANOVA followed by a Tukey’s multiple comparison test. Letters are used to discriminate between statistically different conditions (p<0.0001).

Figure 1—source data 1. Original files for western blot analysis displayed in Figure 1F.
Figure 1—source data 2. PDF file containing original western blots for Figure 1F, indicating the relevant bands and tested conditions.
Figure 1—source data 3. Related to Figure 1B.
Figure 1—source data 4. Related to Figure 1C.
Figure 1—source data 5. Related to Figure 1E.
Figure 1—source data 6. Related to Figure 1G.

Figure 1.

Figure 1—figure supplement 1. Viral propagation experimental design.

Figure 1—figure supplement 1.

Schematic representation of the method used for local and systemic plantago asiatica mosaic virus (PlAMV) propagation assays. Shorty, 3-wk-old A. thaliana leaves are infiltrated with PlAMV-GFP. For local propagation, the inoculated leaves are cut out at 5 dpi to observe individual foci using a macroscope. For systemic propagation, the whole plant is imaged with a CCD camera at 10, 14, and 17 dpi to follow the evolution of PlAMV propagation.
Figure 1—figure supplement 2. Specificity of calcium-dependent protein kinase 3 (CPK) kinase activity towards REM1.2 in vitro.

Figure 1—figure supplement 2.

Left panel: GST-CPKs recombinant proteins were incubated with REM1.21-118-6His or histone as substrates, in kinase reaction buffer in the presence of Ca2+. The radioactivity is detected on dried gel and the protein amount is monitored by Coomassie staining. Right panel: the radioactive signals were quantified with ImageQuant and the ratio between REM1.2 and histone phosphorylations is shown in a boxplot (n=4). Different letters indicate statistical differences (p<0.05, ncompar test from R).
Figure 1—figure supplement 2—source data 1. Original files for western blot analysis displayed in Figure 1—figure supplement 2.
Figure 1—figure supplement 2—source data 2. PDF file containing original western blots for Figure 1—figure supplement 2, indicating the relevant bands and tested conditions.
Figure 1—figure supplement 3. Calcium-dependent protein kinase 3 (CPK3) protein levels in knock-out and overexpressing lines.

Figure 1—figure supplement 3.

Western blot of CPK3 on seedlings of cpk3-1 and cpk3-2 mutant lines along with Pro35S:CPK3-HA #8.2 and Pro35S:CPK3-HA #16.2 overexpressing lines. CPK3 was detected with anti-CPK3 antibody. Protein loading was monitored by Coomassie staining.
Figure 1—figure supplement 3—source data 1. Original files for western blot analysis displayed in Figure 1—figure supplement 3.
Figure 1—figure supplement 3—source data 2. PDF file containing original western blots for Figure 1—figure supplement 3, indicating the relevant bands and tested conditions.

To further confirm a role for CPK3 in PlAMV infection, two independent knock-out (KO) lines for CPK3, cpk3-1 (Mori et al., 2006) and cpk3-2 (Mehlmer et al., 2010) along with two independent lines overexpressing CPK3 i.e., Pro35S:CPK3-HA-OE #8.2 and Pro35S:CPK3-HA-OE#16.2 (Concordet and Haeussler, 2018; Figure 1—figure supplement 3) were infiltrated with PlAMV-GFP. In both cpk3-1 and cpk3-2 KO lines, PlAMV-GFP propagation was significantly enhanced (40 to 60% compared with WT Col-0), whereas the over-expression lines Pro35S:CPK3-HA-OE#8.2 and Pro35S:CPK3-HA-OE#16.272 showed 10% and 20% restriction of the foci area, respectively (Figure 1C). To assess whether CPK3 regulates viral propagation at the plant level, the propagation of PlAMV-GFP in systemic leaves was assessed in 3-wk-old cpk3-2 and Pro35S:CPK3-HA-OE#16.2 lines along with Col-0 at 10, 14 and 17 d post-infection (dpi) using a CCD Camera equipped with a GFP filter (Figure 1—figure supplement 1). We observed that loss of CPK3 led to an increase of PlAMV-GFP propagation in distal leaves during the course of our assay while the overexpression of CPK3 did not hamper PlAMV-GFP to a greater extent than WT Col-0 (Figure 1D and E). This would suggest that CPK3 effect on PlAMV propagation is predominant at the site of infection. For this reason, we concentrated on foci in local leaves for further study.

CPK3 Lysine 107 functions as an ATP binding site and its substitution into methionine abolishes CPK3 activity in vitro (Lu et al., 2020). In good agreement, we observed that CPK3K107M can no longer phosphorylate REM1.2 in vitro (Figure 1F). To test whether CPK3 kinase activity is required for its function during PlAMV infection, we analyzed the propagation of PlAMV-GFP in complementation lines of cpk3-2 with WT CPK3 or with CPK3K107M. While the WT CPK3 fully complemented cpk3-2 mutant, it was not the case with cpk3-2/Pro35S:CPK3K107M, which displayed larger infection foci area compared to WT Col-0 (Figure 1G).

Taken together, these results demonstrate a specific involvement for CPK3 among other previously described immune-related CPKs in limiting PlAMV infection.

PlAMV infection induces a decrease in CPK3 PM diffusion

We next wondered whether CPK3 accumulation is regulated at transcriptional and translational levels upon PlAMV infection. RT-qPCR and western blots of CPK3 in Col-0 showed that both transcript and protein levels remained unchanged during PlAMV infection (Figure 2—figure supplement 1). CPK3 is partially localized within the PM and is myristoylated at Glycine 2, a modification required for its association with membranes (Mehlmer et al., 2010). To test whether CPK3 membrane localization is required to hamper PlAMV propagation, we transformed cpk3-2 mutant with either ProUbi10:CPK3-mRFP1.2 or ProUbi10:CPK3G2A-mRFP1.2 (Figure 2A) and tested PlAMV infection. We observed that, in contrary to ProUbi10:CPK3-mRFP1.2, ProUbi10:CPK3G2A-mRFP1.2 did not complement cpk3-2 (Figure 2B). These observations indicate that CPK3 association with the PM is required for its function in inhibiting PlAMV propagation. We next analyzed the organization of CPK3 PM pool in absence or presence of PlAMV-GFP using confocal microscopy. Imaging of the surface of A. thaliana leaf epidermal cells expressing CPK3-mRFP1.2 showed that the protein displayed a heterogeneous pattern at the PM in both conditions (Figure 2C), although the limitation in lateral resolution of confocal microscopy hindered a more detailed analysis of CPK3 PM organization.

Figure 2. Calcium-dependent protein kinase 3 (CPK3) diffusion decreases upon plantago asiatica mosaic virus (PlAMV) infection in Arabidopsis thaliana.

(A) Confocal images of the secant view of A. thaliana epidermal cells of the cpk3-2/CPK3-mRFP1.2 or cpk3-2/ProUbi10:CPK3G2A-mRFP1.2. Scale bar = 5 µm. (B) Box plots of the mean area of PlAMV-GFP infection foci in cpk3-2 and complemented lines cpk3-2/ProUbi10:CPK3-mRFP1.2 and cpk3-2/ProUbi10:CPK3G2A-mRFP1.2. Three independent biological repeats were performed, with at least 32 foci per experiment and per genotype. Significant differences were revealed using a one-way ANOVA followed by a Tukey’s multiple comparison test. Letters are used to discriminate between statistically different conditions (p<0.0001). (C) Confocal images of the surface view of A. thaliana epidermal cells of the Col-0/ProUbi10:CPK3-mRFP1.2, infiltrated either with free GFP (‘mock’) or PlAMV-GFP. Scale bar = 5 µm. (D) Representative trajectories of Col-0/CPK3-mEOS3.2 infiltrated either with free GFP (‘mock’) or PlAMV-GFP; Scale bar = 2 µm. (E) Distribution of the diffusion coefficient (D), represented as log(D) for Col-0/ProUbi10:CPK3-mEOS3.2 5 d after infiltration with free GFP (‘mock’) or PlAMV-GFP. Data were acquired from at least 8086 trajectories obtained in at least 16 cells over the course of three independent experiments. (F) Box plot of the mean peak value extracted from the Gaussian fit of log(D) distribution. Significant difference was revealed using a Mann-Whitney test. *p<0.05. (G) Mean square displacement (MSD) over time of Col-0/ProUbi10:CPK3-mEOS3.2 5 d after infiltration with free GFP (‘mock’) or PlAMV-GFP. Representative trajectories extracted from (D) illustrate each curve. Scale bar = 1 µm. Data were acquired from at least 16 cells over the course of three independent experiments. (H) Voronoi tessellation illustration of Col-0/ProUbi10:CPK3-mEOS3.2 5 d after infiltration with free GFP (‘mock’) or PlAMV-GFP. ND are circled in red. Scale bar = 2 µm. (I) Distribution of the ND diameter of Col-0/ProUbi10:CPK3-mEOS3.2 5 d after infiltration with free GFP (‘mock’) or PlAMV-GFP. (J) Box plot representing the mean peak value of nanodomains (ND) diameter extracted from the Gaussian fit of (I). No significant differences were revealed using a Mann-Whitney test. (K) Boxplot of the proportion of Col-0/ProUbi10:CPK3-mEOS3.2 detections found in ND 5 d after infiltration with free GFP (‘mock’) or PlAMV-GFP. No significant differences were revealed using a Mann-Whitney test.

Figure 2—source data 1. related to Figure 2B.
Figure 2—source data 2. related to Figure 2E.
elife-90309-fig2-data2.xlsx (770.4KB, xlsx)
Figure 2—source data 3. related to Figure 2F.
Figure 2—source data 4. related to Figure 2G.
Figure 2—source data 5. related to Figure 2I.
Figure 2—source data 6. related to Figure 2J.
Figure 2—source data 7. related to Figure 2K.

Figure 2.

Figure 2—figure supplement 1. Calcium-dependent protein kinase 3 (CPK3) transcript and protein levels are not modified upon viral infection.

Figure 2—figure supplement 1.

(A) Transcript levels of CPK3 in leaves infiltrated with either free GFP or PlAMV-GFP and harvested 7 d after infection. Three independent experiments were performed with three independent plants for each condition per experiment. Transcript levels were normalized to actin transcripts. No significant difference could be deciphered using a Mann-Whitney test. (B) Left panel: CPK3 protein levels were determined by quantification of western-blot signal of Col-0 plants infiltrated with free GFP (‘mock’) or PlAMV-GFP blotted with an anti-CPK3-specific antibody. Three independent assays were performed. No difference could be deciphered using a Mann-Whitney test. Right panel: representative western blot. Protein loading was monitored by stain-free staining.
Figure 2—figure supplement 1—source data 1. Related to Figure 2—figure supplement 1A.
Figure 2—figure supplement 1—source data 2. Original files for western blot analysis displayed in Figure 2—figure supplement 1.
Figure 2—figure supplement 1—source data 3. Original files for western blot analysis displayed in Figure 2—figure supplement 1.
Figure 2—figure supplement 2. Calcium-dependent protein kinase 3 (CPK3) does not accumulate at plasmodesmata during plantago asiatica mosaic virus (PlAMV) infection.

Figure 2—figure supplement 2.

Confocal images of the secant view of A. thaliana epidermal cells of the cpk3-2/CPK3-mRFP1.2 stained with aniline blue 5 d after infiltration with free GFP (‘mock’) or PlAMV-GFP. Scale bar = 5 µm.
Figure 2—video 1. Example of an spt-PALM stream of Col-0/CPK3-mEOS3.2.
Download video file (892.3KB, mp4)

Thus, we used single-particle tracking phospho-activated localization microscopy (sptPALM) which overcomes the diffraction limit of confocal microscopy and allows the analysis of the diffusion and organization of single molecules. We used a translational fusion of CPK3 with the true monomeric photoconvertible fluorescent protein mEOS3.2 (Zhang et al., 2012) expressed in stable transgenic Arabidopsis lines. We imaged these materials in control and upon PlAMV infection. We tracked single-molecule trajectories (Figure 2D) from which CPK3 diffusion coefficient (D) was calculated. We observed that CPK3 proteins were overall mobile in control and infected conditions (log(D) > –2; Figure 2E) although CPK3 diffusion was reduced upon PlAMV infection (Figure 2F). Analysis of the mean squared displacement (MSD), describing the surface explored by single molecules overtime, showed that CPK3 displayed a more confined behavior during a PlAMV infection than in healthy conditions (Figure 2G). Additionally, we performed cluster analysis using Voronoï tessellation, a computation method that segments super-resolution images into polygons based on the local molecule density (Levet et al., 2015). Voronoï analysis showed that no difference occurred in CPK3 cluster size or proportion of protein localized in cluster upon viral infection (Figure 2H–K). Taken together, these results show that CPK3 diffusion parameters were modified upon PlAMV infection, although the nano-organization of the proteins was maintained.

Truncation of CPK3 auto-inhibitory domain induces its confinement and accumulation in PM ND

CPK3 bears an auto-inhibitory domain that folds over the kinase domain and inhibits its kinase activity in the absence of calcium (Sheen, 1996; Harper et al., 2004). The truncation of this domain along with the C-terminal regulatory domain results in a calcium-independent, constitutively active CPK3 (CPK3CA) (Boudsocq et al., 2010) that is lethal when stably expressed in Arabidopsis (Huimin et al., 2021). For this reason, CPK3CA was transiently expressed in N. benthamiana for further analysis. We observed that although both ProUbi10:CPK3-mRFP1.2 and ProUbi10:CPK3CA-mRFP1.2 were partially cytosolic when transiently expressed in N. benthamiana (Figure 3—figure supplement 1), ProUbi10:CPK3CA-mRFP1.2 displayed a PM organization in domains discernable by confocal microscopy (Figure 3A).

Figure 3. Plantago asiatica mosaic virus (PlAMV)-induced activation of calcium-dependent protein kinase 3 (CPK3) in N. benthamiana induces its confinement and clustering in plasma membrane (PM) domains.

(A) Confocal images of the surface view of N. benthamiana epidermal cells transiently expressing ProUbi10:CPK3-mRFP1.2, ProUbi10:CPK3-mRFP1.2+PlAMV GFP or ProUbi10:CPK3CA-mRFP1.2. Scale bar = 5 µm. (B) Representative trajectories of ProUbi10:CPK3-mEOS3.2, ProUbi10:CPK3.2-mEOS3.2+PlAMV and ProUbi10:CPK3CA-mEOS3.2. Scale bar = 2 µm. (C) Distribution of the diffusion coefficient (D), represented as log(D) for ProUbi10:CPK3-mEOS3.2, ProUbi10:CPK3-mEOS3.2+PlAMV GFP and ProUbi10:CPK3CA-mEOS3.2. Data were acquired from at least 6144 trajectories obtained in at least 15 cells over the course of three independent experiments. (D) Box plots of the fraction of immobile proteins (log(D)p<0.005). (E) Mean square displacement (MSD) over time of fast (circle) or slow (triangle) diffusing ProUbi10:CPK3-mEOS3.2, ProUbi10:CPK3-mEOS3.2+PlAMV GFP, ProUbi10:CPK3CA-mEOS3.2. Standard error is displayed from three independent experiments. (F) Voronoï tessellation illustration of ProUbi10:CPK3-mEOS3.2, ProUbi10:CPK3-mEOS3.2+PlAMV GFP and ProUbi10:CPK3CA-mEOS3.2. ND are circled in red. Scale bar = 2 µm. (G) Distribution of the ND diameter of ProUbi10:CPK3-mEOS3.2, ProUbi10:CPK3-mEOS3.2+PlAMV GFP and ProUbi10:CPK3CA-mEOS3.2. (H) Box plot representing the mean peak value of ND diameter extracted from the Gaussian fit of (G). No significant differences were revealed using a Kruskal-Wallis followed by a Dunn’s multiple comparison test.(I) Boxplot of the proportion of detections found in ND of ProUbi10:CPK3-mEOS3.2, ProUbi10:CPK3-mEOS3.2+PlAMV GFP and ProUbi10:CPK3CA-mEOS3.2. Significant differences were revealed using a Kruskal-Wallis followed by a Dunn’s multiple comparison test. Letters are used to discriminate between statistically different conditions (p<0.005). (J) Left: Confocal images of the surface view of N. benthamiana epidermal cells transiently expressing ProUbi10:CPK3CA-mRFP1.2 and infiltrated with either DMSO or 50 µg/mL fenpropimorph. Scale bar = 5 µm; Right: Box plot of the mean spatial clustering index (SCI) of CPK3CA. At least three experiments were performed, with at least 10 cells per experiment; statistical significance was determined using a Student t-test, ****:p<0.0001. (K) Left: Confocal images of the surface view of N. benthamiana epidermal cells transiently co-expressing ProUbi10:CPK3CA-mRFP1.2 with active or dead SAC1, mutated for its phosphatase activity. Scale bar = 5 µm; Right: Box plot of the mean SCI of CPK3CA. At least three experiments were performed, with at least 10 cells per experiment; statistical significance was determined using a Student t-test, ****p<0.0001.

Figure 3—source data 1. Related to Figure 3C.
elife-90309-fig3-data1.xlsx (728.1KB, xlsx)
Figure 3—source data 2. Related to Figure 3D and E.
Figure 3—source data 3. Related to Figure 3G.
Figure 3—source data 4. Related to Figure 3H.
Figure 3—source data 5. Related to Figure 3I.
Figure 3—source data 6. Related to Figure 3J.
Figure 3—source data 7. Related to Figure 3K.

Figure 3.

Figure 3—figure supplement 1. Calcium-dependent protein kinase 3 (CPK3) and CPK3CA display a similar subcellular localization.

Figure 3—figure supplement 1.

Confocal images of the secant view of N. benthamiana epidermal cells transiently expressing ProUbi10:CPK3-mRFP1.2 or ProUbi10:CPK3CA-mRFP1.2. Scale bar = 5 µm.
Figure 3—figure supplement 2. Calcium-dependent protein kinase 3 (CPK3) and CPK3CA display a similar subcellular localization.

Figure 3—figure supplement 2.

Figure 3—video 1. Example of an spt-PALM stream of CPK3-mEOS3.2 transiently expressed in N. benthamiana.
Download video file (837.4KB, mp4)

We analyzed the dynamics of ProUbi10:CPK3-mEOS3.2 and ProUbi10:CPK3CA-mEOS3.2 by spt-PALM (Figure 3B). We observed that the fraction of immobile ProUbi10:CPK3CA-mEOS3.2 molecules (log(D) < –2) is more abundant than for ProUbi10:CPK3-mEOS3.2 in absence of viral infection while no significant difference could be deciphered upon PlAMV infection (Figure 3C and D). In addition, MSD analysis showed that the motion of CPK3-mEOS3.2 mobile fraction is less confined than the one of CPK3CA-mEOS3.2 and CPK3-mEOS3.2 upon PlAMV infection (Figure 3E). Overall, this indicates that the mobile and immobile fraction of CPK3 is affected upon PlAMV infection and upon truncation of its auto-inhibitory domain, respectively.

Cluster analysis of CPK3 was performed using tessellation on the localization data obtained with spt-PALM (Figure 3F). Although we did not observe any significant differences in distribution of cluster sizes between all compared conditions (Figure 3G and H), CPK3CA displayed a significantly higher proportion of proteins localized in ND compared to CPK3 (Figure 3I).

While the mechanism(s) governing the clustering of membrane proteins are not fully described, it is widely accepted that lateral organization involves – to some extent – protein-lipid interactions and lipid-lipid organization (Gronnier et al., 2018; Jaillais and Ott, 2020; Sezgin et al., 2017). We observed that the integrity of ProUbi10:CPK3CA-mRFP1.2 organization relied on sterols and phosphoinositides. Indeed, treatment with fenpropimorph, a well-described inhibitor of sterol biosynthesis (He et al., 2003), abolished CPK3CA ND organization (Figure 3J), and the co-expression of ProUbi10:CPK3CA-mRFP1.2 with the yeast phosphatidylinositol-4-phosphate (PI4P)-specific phosphatase SAC1 targeted to the PM (Simon et al., 2016), led to sparser and bigger domains (Figure 3K), which suggested that PI4P is not required for CPK3CA ND formation but for its regulation.

All together these observations show that either removal of the auto-inhibitory domain or infection with PlAMV-GFP modifies CPK3 dynamics within the PM; a mechanism which could be at stake for kinase activation.

PlAMV infection induces an increase in REM1.2 PM diffusion

Group 1 REMs are one of the targets of CPK3 and we previously demonstrated that the restriction of PVX propagation by CPK3 overexpression depended on endogenous group 1 NbREMs (Perraki et al., 2018). Four REM isoforms belong to the group 1 in Arabidopsis: REM1.1, REM1.2, REM1.3, and REM1.4 (Raffaele et al., 2007). REM1.2 and REM1.3 are amongst the 10% most abundant transcripts in Arabidopsis leaves while REM1.1 was not detected in recently published leaf transcriptomes and proteomes (Mergner et al., 2020). Therefore, we focused on the three isoforms REM1.2, REM1.3 and REM1.4. REMs are described as scaffold proteins (Lefebvre et al., 2010), for which physiological function depends on the proteins they interact with and their phosphorylation status (Gouguet et al., 2021). As recently described in Abel et al., 2021, REM1.2 and REM1.3 share 95% of their interactome, suggesting that they are functionally redundant. To address this, we isolated single T-DNA mutants rem1.2, rem1.3 and rem1.4 (SALK_117637.50.50 .x, SALK_117448.53.95 .x and SALK_073841.47.35, respectively) and crossed them to obtain the double mutant rem1.2 rem1.3 and the triple mutant rem1.2 rem1.3 rem1.4 (Figure 4—figure supplement 1). We did not notice any obvious defects in the growth and development of seedlings and adult plants for the single, double, and triple mutants, when grown under our conditions (Figure 4—figure supplement 2). No difference in PlAMV-GFP propagation could be observed in the single mutants, compared to Col-0 (Figure 4A). However, the double mutant rem1.2 rem1.3 showed a significant increase of infection foci area compared to Col-0, which was further enhanced in rem1.2 rem1.3 rem1.4 triple KO mutant. Such additive effect of multiple mutations shows that REM1.2, REM1.3, and REM1.4 are functionally redundant regarding PlAMV cell-to-cell propagation. Finally, PlAMV-GFP systemic propagation was followed in whole plants every 3–4 d from 10 to 17 dpi, and rem1.2 rem1.3 rem1.4 displayed an increased infection surface of systemic leaves compared to Col-0 (Figure 4B and C), suggesting that group 1 REMs are involved in both local and systemic propagation of PlAMV-GFP.

Figure 4. Group 1 REMORIN (REM) hampers plantago asiatica mosaic virus (PlAMV)-GFP cell-to-cell propagation and REM1.2 diffusion increases upon infection.

(A) Box plots of the mean area of PlAMV-GFP infection foci in rem1.2, rem1.3, rem1.4 single mutants along with rem1.2 rem1.3 double mutant and rem1.2 rem1.3 rem1.4 triple mutant. Three independent biological repeats were performed, with at least 36 foci per experiment and per genotype. Significant differences were revealed using a one-way ANOVA followed by a Tukey’s multiple comparison test. Letters are used to discriminate between statistically different conditions (p<0.05). (B) Box plots of the mean cumulated intensity measured in infected leaves in Col-0 and rem1.2 rem1.3 rem1.4 during systemic viral propagation. Two independent experiments were conducted. Statistical significance of the difference between Col-0 and rem1.2 rem1.3 rem1.4 at each time point was assessed using a Mann-Whitney test. *p<0.05, **p<0.01. (C) Representative images of A. thaliana plants infected with PlAMV-GFP and imaged with a CCD Camera from 10 to 17 dpi. Systemic leaves are circled with a white dotted line. Multicolored scale is used to enhance contrast and ranges from blue (low intensity) to red (high intensity). Scale bar = 4 cm. (D) Confocal images of the surface view of A. thaliana epidermal cells of the Col-0/ProUbi10:mRFP1.2-REM1.2, infiltrated either with free GFP (‘mock’) or PlAMV-GFP. Scale bar = 5 µm (E) Representative trajectories of Col-0/ProUbi10:mEOS3.2-REM1.2 5 d after infiltration with free GFP (‘mock’) or PlAMV-GFP. Scale bar = 2 µm. (F) Distribution of the diffusion coefficient (D), represented as log(D) for Col-0/ProUbi10:mEOS3.2-REM1.2 5 d after infiltration with free GFP (‘mock’) or PlAMV-GFP. Data were acquired from at least 28638 trajectories obtained from at least 16 cells over the course of three independent experiments. (G) Box plot of the mean peak value extracted from the Gaussian fit of log(D) distribution. Significant difference was revealed using a Mann-Whitney test. *p<0.05. (H) Mean square displacement (MSD) over time of Col-0/ProUbi10:mEOS3.2-REM1.2 infiltrated either with free GFP (‘mock’) or PlAMV-GFP. Representative trajectories extracted from (E) illustrate each curve. Scale bar = 1 µm. (I) Voronoi tessellation illustration of Col-0/ProUbi10:mEOS3.2-REM1.2 5 d after infiltration with free GFP (‘mock’) or PlAMV-GFP. ND are circled in red. Scale bar = 2 µm (J) Distribution of the nanodomains (ND) diameter of Col-0/ProUbi10:mEOS3.2-REM1.2 5 d after infiltration with free GFP (‘mock’) or PlAMV-GFP. (K) Box plot representing the mean peak value of ND diameter extracted from the Gaussian fit of (J). No significant difference was revealed using a Mann-Whitney test. (L) Boxplot of the proportion of Col-0/ProUbi10:mEOS3.2-REM1.2 detections found in ND 5 d after infiltration with free GFP (‘mock’) or PlAMV-GFP. No significant difference was revealed using a Mann-Whitney test.

Figure 4—source data 1. Related to Figure 4A.
Figure 4—source data 2. Related to Figure 4B.
Figure 4—source data 3. Related to Figure 4F.
Figure 4—source data 4. Related to Figure 4G.
Figure 4—source data 5. Related to Figure 4H.
Figure 4—source data 6. Related to Figure 4J.
Figure 4—source data 7. Related to Figure 4K.
Figure 4—source data 8. Related to Figure 4L.

Figure 4.

Figure 4—figure supplement 1. Group 1 REMORIN (REM) single, double, and triple knock-out lines.

Figure 4—figure supplement 1.

(A) Positions of the T-DNA insertions of the single mutants used in this study for viral propagation and crossing. For rem1.2, the T-DNA is inserted in an exon, for rem1.3 in the promoter, and for rem1.4 in an intron. Boxes represent exons while black lines represent introns. (B) Western blots of Col-0, rem1.2, rem1.3, rem1.4 single mutants, rem1.2 rem1.3 double mutant and rem1.2 rem1.3 rem1.4 triple mutant, with antibodies raised against REM1.2/1.3 (upper panel) or specifically against REM1.3 (middle panel). Protein loading was monitored by stain-free staining.
Figure 4—figure supplement 1—source data 1. Original files for western blot analysis displayed in Figure 4—figure supplement 1.
Figure 4—figure supplement 1—source data 2. PDF file containing original western blots for Figure 4—figure supplement 1, indicating the relevant bands and tested conditions.
Figure 4—figure supplement 2. Group 1 REMORINs (REMs) single and multiple knock-out lines do not display any obvious developmental phenotype.

Figure 4—figure supplement 2.

(A) 7-d-old seedlings of Col-0, rem1.2, rem1.3 and rem1.4 single mutants. Neither of the single mutants showed developmental defects. All seedlings were grown on the same plate. Scale bar = 2 cm. (B) 7-d-old seedlings of Col-0, rem1.2 rem1.3 double and rem1.2 rem1.3 rem1.4 triple mutants. rem1.2 rem1.3 nor rem1.2 rem1.3 rem1.4 showed obvious developmental defects. All seedlings were grown on the same plate. Scale bar = 2 cm. (C) 3-wk-old plants of Col-0, rem1.2, rem1.3 and rem1.4 single mutants. Plants were grown together in the same conditions. Scale bar = 5 cm. (D) 3-wk-old plants of Col-0, rem1.2 rem1.3 double and rem1.2 rem1.3 rem1.4 triple mutants. Plants were grown together in the same conditions. Scale bar = 5 cm.
Figure 4—figure supplement 3. Group 1 REMORINs (REMs) transcript and protein levels are not modified during a plantago asiatica mosaic virus (PlAMV) infection.

Figure 4—figure supplement 3.

(A) Transcript levels of REM1.2, REM1.3, and REM1.4 in leaves infiltrated with either free GFP (dark gray) or PlAMV-GFP (light gray) and harvested 7 d after infection. Three independent experiments were performed, with three independent plants for each condition per experiment. Transcript levels were normalized to housekeeping genes. Statistical significance was determined using a Mann-Whitney test. No significant difference could be deciphered. (B) Left panel: REM1.2 protein levels were determined by quantification of western-blot signals from three independent assays, performed with antibodies raised against REM1.2/1.3. No significant difference could be deciphered using a Mann-Whitney test. Right panel: representative western blot of REM1.2/1.3. Protein loading was monitored by stain-free staining.
Figure 4—figure supplement 3—source data 1. Related to Figure 4—figure supplement 3A.
Figure 4—figure supplement 3—source data 2. Original files for western blot analysis displayed in Figure 4—figure supplement 3.
Figure 4—figure supplement 3—source data 3. PDF file containing original western blots for Figure 4—figure supplement 3, indicating the relevant bands and tested conditions.
Figure 4—figure supplement 4. REM1.2 does not accumulate at plasmodesmata during plantago asiatica mosaic virus (PlAMV) infection.

Figure 4—figure supplement 4.

Confocal images of the secant view of A. thaliana epidermal cells of the rem1.2/mRFP1.2-REM1.2 stained with aniline blue 5 d after infiltration with free RFP (‘mock’) or PlAMV-mCherry Scale bar = 5 µm.
Figure 4—video 1. Example of an spt-PALM stream of Col-0/mEOS3.2-REM1.2.
Download video file (846.4KB, mp4)

Given their role in cell-to-cell viral movement, we checked whether group 1 REM expression was modified upon infection. RT-qPCR and western blots showed that neither transcripts nor protein levels were modified upon PlAMV infection (Figure 4—figure supplement 3). Since REM1.2 and REM1.3 share a large part of their interactome and show functional redundancy regarding PlAMV infection, we decided to focus on REM1.2 for further investigations. Confocal imaging of the surface of epidermal cells of Col-0/ProUbi10:mRFP1.2-REM1.2 showed a rather heterogeneous distribution at the PM, although less striking than previously described when observed in root (Huang et al., 2019; Figure 4D). REM1.2 was next fused to mEOS3.2 and stably expressed in Col-0 to conduct spt-PALM (Figure 4E). The diffusion coefficient of ProUbi10:mEOS3.2-REM1.2 was significantly increased upon PlAMV infection (Figure 4F and G). Moreover, its MSD was increased to a similar extent as what was previously observed with StREM1.3 during a PVX infection (Perraki et al., 2018; Figure 4H), although REM1.2 is overall more mobile than StREM1.3. Tessellation analysis of protein localization did not show any difference in ND organization, whether in size or regarding the enrichment of proteins in ND (Figure 4I–L).

Taken together, these results show that group 1 REMs are functionally redundant regarding their ability to hamper PlAMV propagation. PlAMV infection promoted an increased diffusion of REM1.2, in the same way as PVX did with StREM1.3. The conservation of such mechanism between plants of different families is indicative of its physiological importance.

PlAMV-induced changes in REM1.2 and CPK3 plasma membrane dynamics are interdependent

Group 1 REMs from A. thaliana were previously identified as in vitro substrates of CPK3 (Mehlmer et al., 2010). Moreover, untargeted immunoprecipitation experiments coupled to mass spectrometry identified CPK3 as an interactor of REM1.2 in A. thaliana (Abel et al., 2021). We wanted to assess the functional link between CPK3 and group 1 REM in potexvirus propagation by knocking out CPK3 into the rem1.2 rem1.3 rem1.4 mutant background. We isolated two independent CRISPR-generated rem1.2 rem1.3 rem1.4 cpk3 #1 and rem1.2 rem1.3 rem1.4 cpk3 #2 quadruple mutants (Figure 5—figure supplement 1). We did not observe any developmental defect in these lines when grown under controlled conditions (Figure 5—figure supplement 2). The analysis of PlAMV-GFP propagation showed that no significant additive effect could be observed between the quadruple mutant lines, cpk3-2 and rem1.2 rem1.3 rem1.4 (Figure 5A and B). This indicates that group 1 REMs and CPK3 function in the same signaling pathway to inhibit PlAMV propagation.

Figure 5. Group 1 REMORINs (REMs) and calcium-dependent protein kinase 3 (CPK3) are in the same functional pathway and regulate each other plasma membrane (PM) diffusion upon plantago asiatica mosaic virus (PlAMV) infection.

(A) Box plots of the mean area of PlAMV-GFP infection foci in cpk3-2, rem1.2 rem1.3 rem1.4 triple mutant and rem1.2 rem1.3 rem1.4/cpk3 #1 and #2 quadruple mutants. Three independent biological repeats were performed, with at least 23 foci per experiment and per genotype. Significant differences were revealed using a one-way ANOVA followed by a Tukey’s multiple comparison test. Letters are used to discriminate between statistically different conditions (p<0.0001). (B) Representative images of PlAMV-GFP infection foci at 5 dpi in the different mutant backgrounds. Scale bar = 500 µm.(C) Representative trajectories of cpk3-2/ProUbi10:mEOS3.2-REM1.2 5 d after infiltration with either free GFP (‘mock’) or PlAMV-GFP. Scale bar = 2 µm. (D) Distribution of the diffusion coefficient (D), represented as log(D) for cpk3-2/ProUbi10:mEOS3.2-REM1.2 5 d after infiltration with either free GFP (‘mock’) or PlAMV-GFP. Data were acquired from at least 20462 trajectories obtained from at least 11 cells over the course of three independent experiments. (E) Box plot representing the mean peak value extracted from the Gaussian fit of the distribution of the diffusion coefficient (D) represented in (D). No significant difference was revealed using a Mann-Whitney test. (F) Mean square displacement (MSD) over time of cpk3-2/ProUbi10:mEOS3.2-REM1.2 5 d after infiltration with free GFP (‘mock’) or PlAMV-GFP. (G) Representative trajectories of rem1.2 rem1.3 rem1.4/ProUbi10:CPK3-mEOS3.2 5 d after infiltration with free GFP (‘mock’) or PlAMV-GFP. Scale bar = 2 µm. (H) Distribution of the diffusion coefficient (D), represented as log(D) for rem1.2 rem1.3 rem1.4/ProUbi10:CPK3-mEOS3.2 5 d after infiltration with free GFP (‘mock’) or PlAMV-GFP. Data were acquired from at least 11724 trajectories obtained from at least 10 cells over the course of three independent experiments. (I) Box plot representing the mean peak value extracted from the Gaussian fit of the distribution of the diffusion coefficient (D) represented in (H). No significant difference was revealed using a Mann-Whitney test. (J) Mean square displacement (MSD) over time of rem1.2 rem1.3 rem1.4/ProUbi10:CPK3-mEOS3.2 5 d after infiltration with free GFP (‘mock’) or PlAMV-GFP.

Figure 5—source data 1. Related to Figure 5A.
Figure 5—source data 2. Related to Figure 5D.
Figure 5—source data 3. Related to Figure 5E.
Figure 5—source data 4. Related to Figure 5F.
Figure 5—source data 5. Related to Figure 5H.
Figure 5—source data 6. Related to Figure 5I.
Figure 5—source data 7. Related to Figure 5J.

Figure 5.

Figure 5—figure supplement 1. CRISPR-mediated knock-out of cpk3 in rem1.2 rem1.3 rem1.4 background.

Figure 5—figure supplement 1.

(A) Sequences of wild-type calcium-dependent protein kinase 3 (CPK3) along with the CRISPR-generated mutants in rem1.2 rem1.3 rem1.4 background. In rem1.2 rem1.3 rem1.4 cpk3 #1, an insertion of one adenosine at position 209 bp induced a frameshift leading to an early stop codon at position 234–236 bp (235–237 bp after insertion). In rem1.2 rem1.3 rem1.4/cpk3 #2, a deletion of 121 nucleotides at position 88–208 bp induced a frameshift leading to an early stop codon at position 284–286 bp (163–165 bp after deletion). As a result, the CRISPR mutations led to a truncated CPK3 protein of 78 aa and 54 aa, in rem1.2 rem1.3 rem1.4 cpk3 #1 and rem1.2 rem1.3 rem1.4 cpk3 #2, respectively. (B) Schematic representation of the amino-acid sequence of wild-type and truncated CPK3. The mutations in the CRISPR-generated lines resulted in proteins deprived of the kinase domain, the junction domain, and the calcium-binding domain. (C) Western blots of Col-0 WT and the two CRISPR lines rem1.2 rem1.3 rem1.4 cpk3 #1 and rem1.2 rem1.3 rem1.4 cpk3 #2 using anti-REM1.2/1.3 and anti-CPK3 antibodies. Protein loading was monitored by stain-free staining.
Figure 5—figure supplement 1—source data 1. Original files for western blot analysis displayed in Figure 5—figure supplement 1.
Figure 5—figure supplement 1—source data 2. PDF file containing original western blots for Figure 5—figure supplement 1, indicating the relevant bands and tested conditions.
Figure 5—figure supplement 2. rem1.2 rem1.3 rem1.4 cpk3 quadruple knock-out lines do not display any obvious developmental phenotype.

Figure 5—figure supplement 2.

(A) In vitro growth of 7-d-old seedlings of Col-0, rem1.2 rem1.3 rem1.4 cpk3 #1 and rem1.2 rem1.3 rem1.4 cpk3 #2. All seedlings were grown on the same plate. Scale bar = 2 cm. (B) Growth on soil of 3-wk-old plants of Col-0, rem1.2 rem1.3 rem1.4 cpk3 #1 and rem1.2 rem1.3 rem1.4 cpk3 #2. Plants were grown together under the same conditions. Scale bar = 5 cm.
Figure 5—figure supplement 3. calcium-dependent protein kinase 3 (CPK3) and group1 REMORIN (REM) role in each other plasma membrane (PM) nano-organization during plantago asiatica mosaic virus (PlAMV) infection.

Figure 5—figure supplement 3.

(A) Voronoi tessellation illustration of cpk3-2/ProUbi10:mEOS3.2-REM1.2 5 d after infiltration with free GFP (‘mock’) or PlAMV-GFP. Nanodomains (ND) are circled in red. Scale bar = 2 µm. (B) Distribution of the ND diameter of cpk3-2/ProUbi10:mEOS3.2-REM1.2 5 d after infiltration with free GFP (‘mock’) or PlAMV-GFP. (C) Box plot representing the mean peak value extracted from the Gaussian fit of the panel B. No significant difference was revealed using a Mann-Whitney test. (D) Box plot of the proportion of cpk3-2/ProUbi10:mEOS3.2-REM1.2 detections found in ND 5 d after infiltration with free GFP (‘mock’) or PlAMV-GFP. No significant difference was revealed using a Mann-Whitney test. (E) Voronoi tessellation illustration of rem1.2 rem1.3 rem1.4/ProUbi10:CPK3-mEOS3.2 5 d after infiltration with free GFP (‘mock’) or PlAMV-GFP. ND are circled in red. Scale bar = 2 µm. (F) Distribution of the ND diameter of rem1.2 rem1.3 rem1.4/ProUbi10:CPK3-mEOS3.2 5 d after infiltration with free GFP (‘mock’) or PlAMV-GFP. (G) Box plot representing the mean peak value extracted from the Gaussian fit of the panel F. No significant difference was revealed using a Mann-Whitney test. (H) Boxplot of the proportion of rem1.2 rem1.3 rem1.4/ProUbi10:CPK3-mEOS3.2 detections found in ND 5 d after infiltration with free GFP (‘mock’) or PlAMV-GFP. Significant difference was revealed using a Mann-Whitney test, **p<0.001.
Figure 5—figure supplement 3—source data 1. Related to Figure 5—figure supplement 3B.
Figure 5—figure supplement 3—source data 2. Related to Figure 5—figure supplement 3C.
Figure 5—figure supplement 3—source data 3. Related to Figure 5—figure supplement 3D.
Figure 5—figure supplement 3—source data 4. Related to Figure 5—figure supplement 3F.
Figure 5—figure supplement 3—source data 5. Related to Figure 5—figure supplement 3G.
Figure 5—figure supplement 3—source data 6. Related to Figure 5—figure supplement 3H.
Figure 5—figure supplement 4. REM1.2 diffusion is increased upon co-expression with CPK3CA but not with CPK3CA-G2A.

Figure 5—figure supplement 4.

(A) Representative trajectories of ProUbi10:mEOS3.2-REM1.2 2 d after infiltration or co-infiltration with ProUbi10:CPK3CA-mRFP1.2 or ProUbi10:CPK3CA-G2A-mRFP1.2 in N. benthamiana leaves. Scale bar = 2 µm (B) Box plot of the mean peak value extracted from the Gaussian fit of log(D) distribution. Significant difference was revealed using a Mann-Whitney test. Different letters indicate statistical differences (p<0.01).
Figure 5—figure supplement 4—source data 1. Related to Figure 5—figure supplement 4B.
Figure 5—figure supplement 5. Plantago asiatica mosaic virus (PlAMV) infection does not modify calcium-dependent protein kinase 3 (CPK3) and group1 REMORIN (REM) colocalization coefficient.

Figure 5—figure supplement 5.

(A) Box plot of Pearson’s correlation coefficient between ProREM1.2:YFP-REM1.2 and ProUbi10:mTagBFP2-CPK3 5 d after infiltration of Col-0/ProREM1.2:YFP-REM1.2/ProUbi10:mTagBFP2-CPK3 with free RFP (‘mock’) or PlAMV-RFP. No significant difference could be deciphered using a Student t-test. The colocalization analysis was repeated upon 90° rotation of the mTagBFP2 channel (‘randomized’). (B) Representative confocal images of the surface view of A. thaliana epidermal cells of Col-0 /ProREM1.2:YFP-REM1.2/ProUbi10:mTagBFP2-CPK3. Scale bar = 5 µm.
Figure 5—video 1. Example of an spt-PALM stream of mEOS3.2-REM1.2 transiently expressed in N. benthamiana.
Download video file (737.3KB, mp4)

We wanted to know whether the increased diffusion of REM1.2 observed on PlAMV infection was dependent on CPK3. Using spt-PALM, we obtained the diffusion parameters of ProUbi10:REM1.2-mEOS3.2 expressed in the cpk3-2 mutant background. Strikingly, we observed that both the diffusion coefficient and MSD of REM1.2 were not anymore affected during a viral infection (Figure 5C–F), showing that REM1.2 PM lateral diffusion upon PlAMV infection depends on CPK3. In a similar manner as in Col-0, REM1.2 clustering upon PlAMV infection in cpk3-2 background did not display any difference to the mock-infected plants (Figure 5—figure supplement 3).

Moreover, we wondered whether the reciprocal effect was true for the diffusion of CPK3 in the absence of group 1 REMs. Similarly, the diffusion coefficient and the MSD of mEOS3.2-CPK3 in rem1.2 rem1.3 rem1.4 triple KO background remained the same during an infection compared to control condition (Figure 5G–J), unlike what was observed in a Col-0 background (Figure 2D–G). This result indicated that the confinement of CPK3 proteins upon viral infection depended on the presence of group 1 REMs. Moreover, contrarily to the Col-0 background, the rem1.2 rem1.3 rem1.4 displayed reduced protein concentration upon PlAMV infection (Figure 5—figure supplement 3). This showed that group 1 REMs might play a role in CPK3 domain regulation upon viral infection.

As CPK3CA was shown to inhibit potexvirus propagation more efficiently than the full-length protein (Perraki et al., 2018), we tested CPK3CA ability to alter REM diffusion (Figure 5—figure supplement 4). Upon transient co-expression with CPK3CA, REM diffusion was significantly increased. As shown in Figure 2B, CPK membrane anchor is crucial for its role in viral propagation. We tested if CPK3CA-G2A was still able to hinder REM diffusion, which was not the case. All these data support a specific role of PM-bound CPK3 in REM increased diffusion upon viral infection.

We then investigated whether CPK3 and REM would colocalize in absence or presence of the virus. Using confocal microscopy, we showed that they randomly colocalized in both situations (Figure 5—figure supplement 5), the interaction between the kinase and its substrate probably occurring in a narrow spatiotemporal window.

Taken all together, those results show a strong inter-dependence of group 1 REMs and CPK3 both in their physiological function and in their PM lateral diffusion upon PlAMV infection.

Discussion

CPK3 specific role in viral immunity is supported by its PM organization

Although calcium-mediated signaling is suspected to be involved in viral immunity, only a few calcium-modulated proteins are described as playing a role in viral propagation (Perraki et al., 2018; Wang et al., 2021). We showed here the crucial role of CPK3 over other immunity-related CPK isoforms Boudsocq et al., 2010; Gao et al., 2013 by a reverse genetic approach in Arabidopsis. The precise role of CPK3 in viral immunity remains to be determined. CPK3 phosphorylates actin depolymerization factors to modulate the actin cytoskeleton (Lu et al., 2020; Dong and Hong, 2013), a key player in host-pathogen interaction (Wang et al., 2022). In particular, potexviruses induce the remodeling of the actin cytoskeleton to organize the key steps of their cycle, whether it is replication, intra-cellular movement, or cell-to-cell propagation (Harries et al., 2009; Tilsner et al., 2012). PlAMV replication and/or movement could be affected by CPK3-mediated alteration of the cytoskeleton mesh.

The specificity of a calcium-dependent kinase in a given biological process is determined by its expression pattern, subcellular localization and substrate specificity (Yip Delormel and Boudsocq, 2019, Köster et al., 2022) Controlled subcellular localization ensures proximity with either stimulus or substrate and here we showed that, similarly to Arabidopsis CPK6 Saito et al., 2018 and Solanum tuberosum CPK5 (Asai et al., 2013), the disruption of CPK3 membrane anchor led to a loss-of-function phenotype (Figure 2B). Interestingly, we observed a reduction in CPK3 PM diffusion upon PlAMV infection, suggesting that not only membrane localization but also protein organization at the PM is important during viral immunity. Moreover, PlAMV-induced CPK3 PM confinement was reminiscent of the diffusion parameters displayed by CPK3CA, hinting that viral infection, kinase activation and lateral diffusion are linked. However, it is necessary to remain careful as a truncated protein deprived of its auto-inhibitory domain does not reflect the controlled and context-dependent activation of CPK3. Indeed, stable expression of CPK3CA was previously shown to be lethal (Huimin et al., 2021). CPK3CA ever-activated state might lead to stable or unspecific interaction with protein partners along with erratic phosphorylation of substrates, which could explain the PM domains formed by CPK3CA at the PM.

CPK3 nanoscale dynamics upon viral infection might offer another layer of specificity to convey the appropriate response to a given stimulus by ensuring proximity with specific regulators or substrates. It would be interesting to explore whether the reduction of CPK3 diffusion observed upon PlAMV infection is specific to this virus or if it can be extended to other viral species, genera, and even pathogens. Indeed, it was recently shown that CPK3 transcription was enhanced upon infection by viruses from different genera (Valmonte-Cortes et al., 2022). Moreover, CPK3 regulates herbivore responses by phosphorylating transcription factors (Kanchiswamy et al., 2010), is activated by flg22 in protoplasts (Mehlmer et al., 2010), and is proposed to be the target of a bacterial effector to disrupt immune response (Lu et al., 2020). Finally, the diffusion and clustering of other PM-localized CPKs could be investigated as no experimental data exist yet regarding their PM nano-organization. It would be especially relevant to describe these parameters for the CPK isoforms phosphorylating ND-organized NADPH oxidases (Smokvarska et al., 2020; Gao et al., 2013; Dubiella et al., 2013).

Potential functions for REM1.2 increased diffusion upon PlAMV

REM proteins display a wide range of physiological functions and are proposed to function as scaffold proteins (Lefebvre et al., 2010; Gouguet et al., 2021; Su et al., 2023). Group 1 REMs have been shown to be involved in viral immunity, playing apparent contradictory roles depending on the virus genera (Rocher et al., 2022; Gouguet et al., 2021; Perraki et al., 2012). Herein, we show through a combination of genetic and biochemical analysis that the three most expressed isoforms of group 1 Arabidopsis REMs were functionally redundant in inhibiting PlAMV propagation (Figure 4A). REMs are anchored at the PM through their C-terminal sequence (Gouguet et al., 2021; Perraki et al., 2012; Gronnier et al., 2017; Konrad et al., 2014) but despite displaying a similar PM attachment, potato StREM1.3 is static and forms well-defined membrane compartments (Gronnier et al., 2017) while Arabidopsis REM1.2 appeared mobile in leaves, with small and potentially short-lived membrane domains of around 70 nm (Figure 4F–J). Beyond clear organizational differences, both REM1.2 and StREM1.3 showed an increased mobility upon viral infection in N. benthamiana and Arabidopsis (Perraki et al., 2018; Figure 4E–H), which is at contrast with the canonical model linking protein activation with its stabilization into ND (Jaillais and Ott, 2020; Smokvarska et al., 2021). Particularly, REM1.2 was recently shown to form ND upon elicitation by a bacterial effector (Ma et al., 2022b) or upon exposition to bacterial membrane structures (Tran et al., 2020). Conservation across plant and virus species of such increased PM diffusion of group 1 REMs indicates that this specific mechanism is crucial for plant response to potexviruses, although its role remains to be deciphered. It was suggested, in the context of tobacco rattle virus infection, that REM1.2 clusters led to an increased lipid order of the PM and a morphological modification of plasmodesmata (PD), inducing a decrease in PD permeability (Huang et al., 2019). As REM1.2 does not accumulate at PD upon PlAMV infection (Figure 4—figure supplement 4), it might indirectly influence PD permeability through mechanisms yet to be discovered. We previously showed that StREM1.3 modulated the formation of lipid phases in vitro (Su et al., 2020) while Medicago truncatula SYMREM1 was recently shown to stabilize membrane topology changes in protoplasts (Su et al., 2020). Therefore, REM1.2 increased diffusion upon viral infection might alter lipid organization, with consequences on PM and PD-localized proteins (Grison et al., 2019). Based on REM’s putative scaffolding role (Lefebvre et al., 2010; Jarsch and Ott, 2011), its increased PM diffusion might modify the stability of REM-supported complexes and induce subsequent signaling, similarly to the way Oryza sativa REM4.1 orchestrates the balance between abscisic acid and brassinosteroid pathways by interacting with different protein kinases (Gui et al., 2016).

A PM-localized mechanism involved in hampering viral propagation

Increasing evidence supports the role of PM proteins in plant antiviral mechanism (Teixeira et al., 2019). However, while the nano-organization of PM proteins involved in bacterial or fungal immunity begins to be addressed (Ma et al., 2022b; Tran et al., 2020; Liang et al., 2018; Gronnier et al., 2022), there is still only scarce information in a viral infection context. Our observations pointed towards an interdependence of REM and CPK3 in their PM diffusion upon PlAMV infection. In particular, CPK3-dependent REM increased diffusion in a potexvirus infection is consistent with our previously reported PM diffusion increase of StREM1.3 phosphomimetic mutant, reminiscent of StREM1.3 behavior upon viral infection (Perraki et al., 2018). Moreover, we recently published that in vitro CPK3-phosphorylated StREM1.3 presented disrupted domains on model membranes compared to the non-phosphorylated protein (Legrand et al., 2023). The data presented in this paper further support the predominant role of CPK3 in viral-induced REM1.2 diffusion (Figure 5C–F). Since the actin cytoskeleton was shown to favor nanometric scale ND including those of group 1 REM (Szymanski et al., 2015), CPK3 mediated regulation of the actin cytoskeleton could regulate REM1.2 PM nanoscale organization. We also discovered the essential role of group 1 REMs in the lateral organization of CPK3 upon viral infection (Figure 5G–J), which is further supported by the difference between CPK3 clustering parameters when expressed in N. benthamiana or in Arabidopsis: CPK3 was enriched in ND upon PlAMV infection when transiently expressed in N. benthamiana but not in Arabidopsis (Figures 2H, K, 3F and I). The discrepancy between both species could be linked to N. benthamiana REM1 ability to form stable ND, discernable by confocal microscopy (Fu et al., 2018) while we observed small and unstable domains of REM1.2 in Arabidopsis leaves (Figure 4I–K). Moreover, CPK3 ND organization was disrupted in rem1.2 rem1.3 rem1.4 triple KO background upon PlAMV infection (Figure 5—figure supplement 3H), indicating that group1 REMs are crucial for the spatial organization of CPK3 during a viral infection. Furthermore, the sensitivity of CPK3CA domains to the same lipid inhibitors as StREM1.3 (Gronnier et al., 2017; Figure 3J and K) hints that REM1.2 lipid environment might be required for CPK3 nanoscale organization.

Although the data obtained here do not allow us to determine the sequence of events orchestrating REM1.2 and CPK3 dynamic interaction, hypotheses can be formulated. REM and CPK3 interact in the absence of any stimulus (Perraki et al., 2018; Abel et al., 2021) but as they display drastically different diffusion parameters (Figures 2E and 4F), likely only a small part of proteins interact at basal state. PlAMV infection induces a REM-dependent confinement of CPK3 (Figures 2 and 5). Whether CPK3 confinement is concomitant to its activation remains to be confirmed. Such modification of CPK3 mobility might result in an increase probability of interaction with REM1.2, which might lead to increased phosphorylation events and a subsequent increase in mobility of REM1.2. In addition to the above-mentioned putative roles of REM’s increased diffusion, such ‘kiss-and-go’ mechanism between a kinase and its substrate might also be considered as a negative feedback loop to hamper constitutive activation of the system. It was recently shown that the PM organization of a receptor-like kinase and its co-receptor relied on the expression of a scaffold protein (Gronnier et al., 2022; Stegmann et al., 2017), REM might go beyond the role of substrate and be essential to maintain the required PM environment of its cognate kinase to ensure proper signal transduction. Although the complexity of potexvirus lifecycle as well as technical limitations impair a thorough challenge of this hypothesis, our data support the significance of fine PM compartmentalization and spatio-temporal dynamics in signal transduction upon viral infection in plants while it explores new concepts underlying plant kinases PM organization.

Materials and methods

Plant culture

Nicotiana benthamiana plants were cultivated in controlled conditions (16 hr photoperiod, 25 °C). Proteins were transiently expressed via Agrobacterium tumefaciens as previously described (Gronnier et al., 2017). The agrobacteria GV3101 strain was cultured at 28 °C on appropriate selective medium depending on constructs carried. Plants were observed between 2 and 5 d after infiltration depending on experiments.

Sterilized Arabidopsis. thaliana seeds were germinated on ½ MS plates supplemented with 1% sucrose. 10-d-old seedlings were transferred to soil and grown under short day conditions (8 hr light/16 hr dark).

Cloning

REM1.2, CPK3, and CPK3CA sequences were previously published (Perraki et al., 2018). CPK3K107M was generated by site-directed mutagenesis using CPK3 as a template and primers specified in the Supplementary file 1.

All vectors built for this project, except for CRISPR and some protein production, were generated using multisite Gateway cloning strategies (http://www.lifetechnologies.com/) with pDONR P4-P1r, pDONR P2R-P3, pDONR221 as entry vectors. pLOK180_pR7m34g (Noack et al., 2022) was used as a destination vector for plant expression. pGEX-2T (GE Healthcare, N-terminal fusion with GST) was used for CPK protein production in bacteria for previously reported constructs (Boudsocq et al., 2012) (CPK2/3/5/11). CPK1, CPK3K107M and CPK6 were cloned into pGEX-3X-GW using the gateway cloning system and pDONR207 as entry vector. The N-terminal 118 amino acids of REM1.2 (REM1.21-118) was synthetized with optimized codons for bacterial expression by GenScript (genscript.com) and cloned into pET24a (C-terminal fusion with a 6-histidine tag) between Nde1 and XhoI.

To generate CRISPR lines, sgRNAs targeting the N-terminus of CPK3 gene were selected using CRISPR-P 2.0 website (Boudsocq et al., 2012; http://crispr.hzau.edu.cn/CRISPR2) and cloned into pHEE401 backbone (Wang et al., 2015) carrying the gene coding for the zCas9 enzyme under the control of Egg cell promoter using the Golden Gate cloning method.

All constructs were propagated using the NEB10 E. coli strain (New England Biolabs). Primers used for cloning are detailed in Supplementary file 1.

Plant lines generation

T-DNA insertion mutants rem1.2 (salk_117637.50.50 .x), rem1.3 (salk_117448.53.95 .x) and rem1.4 (SALK_073841.47.35) were provided by the ABRC. rem1.2 rem1.3 double mutant was generated by crossing the respective T-DNA inserted parental plants, rem2/rem1.3/rem1.4 was created by crossing rem1.2 rem1.3 with rem1.4. The cpk5 cpk6 (sail_657_C06, salk_025460) and cpk5 cpk6 cpk11 (sail_657_C06, salk_025460, salk_054495) were described previously (Boudsocq et al., 2010). The quadruple mutant cpk3 cpk5 cpk6 cpk11 was described previously (Guzel Deger et al., 2015). cpk1 cpk2 (salk_096452, salk_059237) and cpk1 cpk2 cpk5 cpk6 (salk_096452, salk_059237, sail_657_C06, salk_025460) were described previously (Gao et al., 2013). CPK3 T-DNA insertion lines cpk3-1 (salk_107620) and cpk3-2 (salk_022862) were obtained from Julian Schroeder (Mori et al., 2006) and Bernhard Wurzinger (Mehlmer et al., 2010), respectively. All mutants are in the same genetic ecotype Columbia Col-0. All plants were genotyped using primers indicated in the Supplementary file 1.

Pro35S:CPK3-HA #16.2, cpk3-2/Pro35S:CPK3-myc and cpk3-2/Pro35S:CPK3K107M-myc used for viral propagation were previously published (Lu et al., 2020; Concordet and Haeussler, 2018). Pro35S:CPK3-HA #8.2 was generated at the same time as Pro35S:CPK3-HA #16.2, and protein expression was confirmed (Figure 1—figure supplement 3).

Col-0 plants were floral dipped with either ProUbi10:CPK3-mRFP1.2, ProUbi10:CPK3-mEOS3.2 or ProUbi10:mEOS3.2-REM1.2. cpk3-2 plants were floral dipped with either ProUbi10:CPK3-mRFP1.2, ProUbi10:CPK3G2A-mRFP1.2 or ProUbi10:mEOS3.2-REM1.2. rem1.2 rem1.3 rem1.4 plants were floral dipped with ProUbi10:CPK3-mEOS3.2. Col-0/ProREM1.2:YFP-REM1.2 (Rohr et al., 2024) was transformed with ProUbi10:CPK3-mTagBFP2. Transformed seeds were selected based on the seedcoat RFP fluorescence.

For CRISPR-mediated site mutagenesis of CPK3, rem1.2 rem1.3 rem1.4 was transformed by floral dip with the plasmid carrying zCas9 encoding gene and the sgRNA. Transformed candidates were selected on hygromycin and grown for seed collection. Harvested seeds were grown and a leaf sample was harvested for genomic DNA extraction. PCR were performed to amplify the targeted region, and CRISPR-induced mutations were screened using capillary electrophoresis. Mutated candidates were sent to sequencing to obtain homozygous lines for the mutation and then backcrossed with rem1.2 rem1.3 rem1.4 to remove the Cas9. Primers used for CRISPR screening are listed in Supplementary file 1.

Local viral propagation assay

Viral propagation assays were performed using PlAMV-GFP, an agroinfiltrable GFP-tagged infectious clone of PlAMV (Minato et al., 2014). Agrobacterium tumefaciens strain GV3101 carrying PlAMV-GFP was infiltrated on 3-wk-old A. thaliana plants at OD600nm = 0.2. Viral spreading was tracked using Axiozoom V16 macroscope system 5 d after infection. Infection foci were automatically analyzed using the Fiji software (http://www.fiji.sc/) via a homemade macro. The statistical significance was assessed using a two-way ANOVA, followed by a Tukey’s multiple comparison test.

Systemic viral propagation assay

At 3-wk-old, leaves were infiltrated with Agrobacterium tumefaciens GV3101 strain carrying PlAMV-GFP vector. Infection was followed every 3-4 d from the 10th day of infection to the 17th using a closed GFP-CAM FX 800-0/1010 GFP camera and the Fluorcam7 software (Photon System Instruments, Czech Republic; https://fluorcams.psi.cz/). Image analysis was performed using Fiji software (https://fiji.sc/). Integrated density of the fluorescence of systemic leaves was measured. Two independent experiments with at least 30 plants per genotype were performed. Statistical significance was determined with a Mann-Whitney test or a Kruskal-Wallis followed by a Dunn’s multiple comparison test, depending on the number of conditions.

Confocal microscopy

Live imaging was performed using a Zeiss LSM 880 confocal laser scanning microscopy system using either an oil-immersion PL-APO 40 x or 68 x (NA = 1.4) objective coupled with an AiryScan detector for the latter. mRFP1.2 fluorescence was observed using an excitation wavelength of 561 nm and an emission wavelength of 579 nm. Acquisition parameters remained the same across experiments for SCI quantification. The SCI was calculated as previously described Gronnier et al., 2017. Briefly, 10 µm lines were plotted across the samples and the SCI was calculated by dividing the mean of the 5% highest values by the mean of 5% lowest values. Three lines were randomly plotted per cell. Three independent experiments were done, on at least 10 cells each time. Fenpropimorph (10 µg/mL) or DMSO was infiltrated 24 hr before observation.

spt-PALM microscopy

N. benthamiana and A. thaliana epidermal cells were imaged at RT. Samples of leaves of 3-wk-old plants stably or transiently expressing mEOS3.2-tagged constructs were mounted between a glass slide and a cover slip in a drop of water to avoid dehydration. With the exception of ProUbi10:mEOS3.2-REM1.2 transiently expressed in N. benthamiana, image acquisitions were done on an inverted motorized microscope Nikon Ti Eclipse equipped with a 100 Å~oil-immersion PL-APO objective (NA = 1.49), a TIRF arm and a sCMOS Camera FUsion BT (Hamamatsu). Laser angle was adjusted to obtain the highest signal-to-noise ratio while laser power of a 405 nm and 561 nm laser, respectively to activate and image mEOS3.2, was adjusted to obtain a sufficient concentration of individual particles. Particle localization, tracks reconstructions, diffusion coefficient, and MSD parameters were obtained using PALMtracer, as previously described (Gronnier et al., 2017). The diffusion coefficient was calculated from the four first points of the MSD. Three independent experiments were conducted for each tested condition. Tessellation analysis was conducted using SR-Tesseler as previously described (Levet et al., 2015; Gronnier et al., 2017). ND were considered to be at least 32 nm², to contain at least five particles, and to have a particle density twice the average particle density within the sample.

For ProUbi10:mEOS3.2-REM1.2 transiently expressed in N. benthamiana in the presence or absence of ProUbi10:CPK3CA-mVenus or ProUbi10:CPK3CAG2A-mVenus, images were acquired on a custom-built platform, as described previously (Rohr et al., 2024). Particle localization, tracks reconstructions, diffusion coefficient and MSD parameters were obtained using OneFlowTraX (Rohr et al., 2024). Particle localization was done using the following parameters: photon/ADU conversion of 0.48, an offset of 100, a pixel size of 100 nm, a filter size of 1.2, a cut-off of 3, and a PSF of 7. Track reconstruction was done with a maximum linking distance of 200 nm, a maximum gap frame of 4. Tracks smaller than 8 localizations were filtered out and the diffusion coefficient was calculated from the second to fifth data points.

RT-qPCR

3-wk-old A. thaliana leaves were infiltrated with PlAMV-GFP at final OD600 nm = 0.2. Leaf samples were harvested 7 d after infiltration and immediately frozen. RNA extraction was done using Qiagen Plant Mini Kit and was followed by a DNase treatment. cDNA was produced from the extracted RNA using Superscript II enzyme from Invitrogen. RT-qPCR was performed on obtained cDNA using the iQ SYBR Green supermix (BioRad) on the iQ iCycler thermocycler (BioRad). The transcript abundance in samples was determined using a comparative threshold cycle method and was normalized to actin expression. Statistical differences were determined using a Mann-Whitney test. Primers used for RT-qPCR are listed in Supplementary file 1.

Production of recombinant proteins and in vitro kinase assay

GST-CPK proteins were produced in BL21(DE3)pLys and purified as previously reported (Concordet and Haeussler, 2018). 6His-AtREM1.21-118 was produced like GST-CPK and purified on Protino Ni-TED column following themanufacturer’s instructions (Macherey-Nagel). After elution with 40–250 mM imidazole, proteins were dialyzed overnight in 30 mM Tris HCl pH 7.5, 10% glycerol. Kinase assay was performed as previously described (Perraki et al., 2018) using 400 ng recombinant GST-CPK and 1–2 µg substrate (6His-AtREM1.21-118 or histone).

Production of CPK3 antibodies

Polyclonal antibodies against Arabidopsis CPK3 were raised in rabbits by Covalab (France) using purified recombinant GST-CPK3. The antibodies were purified from rabbit serum by affinity chromatography on CH-Sepharose 4B (GE Healthcare) coupled to 6His-CPK3.

To produce the recombinant 6His-CPK3 and GST-CPK3 proteins, the Arabidopsis CPK3 cDNA was cloned into the expression vectors pDEST17 and pDEST15 (Invitrogen), respectively. Expression of 6His-CPK3 was induced in Escherichia coli strain BL21-AI (Invitrogen) with 0.2% (m/v) arabinose and the recombinant protein was affinity purified using Ni-NTA agarose (Qiagen). For GST-CPK3, protein expression in E. coli Rosetta cells (Novagen) was induced with 0.5 mM IPTG (isopropyl-β-D-thiogalactopyranoside) and recombinant GST-CPK3 was purified by Glutathione Sepharose 4 Fast Flow chromatography (GE Healthcare) as described by the manufacturer.

Western blots

Protein samples were extracted from A. thaliana leaf tissue using 2 X Laemmli buffer or in a buffer containing 50 mM Tris HCl pH 7.5, 5 mM EDTA, 5 mM EGTA, 1 X anti-protease cocktail [Roche], 1% Triton X-100, 2 mM DTT. Proteins were transferred to PVDF and detected with polyclonal antibodies raised against CPK3 or REM1.2/REM1.3 (Grison et al., 2019), followed by incubation with secondary anti-rabbit HRP-conjugated antibodies (Sigma, #12–348).

Material availability statement

All plasmids and Arabidopsis lines newly created in the frame of this work is available upon request to the corresponding author.

Acknowledgements

We thank Thierry Mauduit and Christophe Higelin (HPE Greenhouse, INRAe) for plant culture. We thank the Bordeaux Imaging Center, part of the National Infrastructure France-BioImaging supported by the French National Research Agency (ANR-10-INBS-04). This work was supported by the French National Research Agency (grant no. ANR-19-CE13-0021 to SGR, SM, VG, MB) and the German Research Foundation (DFG) grant CRC1101-A09 to JG, the IPS2 benefits from the support of the LabEx Saclay Plant Sciences-SPS (ANR-10-LABX-0040-SPS). This study received financial support from the French government in the framework of the IdEX Bordeaux University 'Investments for the Future' program/GPR 'Bordeaux Plant Sciences.'

Funding Statement

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Contributor Information

Véronique Germain, Email: veronique.germain@u-bordeaux.fr.

Yoselin Benitez-Alfonso, University of Leeds, United Kingdom.

Detlef Weigel, Max Planck Institute for Biology Tübingen, Germany.

Funding Information

This paper was supported by the following grants:

  • Agence Nationale de la Recherche ANR-10-INBS-04 to Sébastien Mongrand.

  • Agence Nationale de la Recherche ANR-19-CE13-0021 to Sébastien Mongrand.

  • Deutsche Forschungsgemeinschaft CRC1101-A09 to Julien Gronnier.

  • Labex Saclay Plant Science ANR-10-LABX-0040-SPS to Marie Boudsocq.

  • Investments for the Future GPR Bordeaux Plant Sciences to Véronique Germain.

Additional information

Competing interests

No competing interests declared.

Author contributions

Conceptualization, Resources, Data curation, Formal analysis, Validation, Investigation, Visualization, Methodology, Writing – original draft, Writing – review and editing.

Data curation, Formal analysis.

Conceptualization, Resources, Data curation, Formal analysis, Supervision, Validation, Visualization, Writing – original draft, Writing – review and editing.

Data curation, Formal analysis.

Data curation, Formal analysis.

Data curation.

Conceptualization, Resources, Data curation, Formal analysis.

Resources, Data curation.

Data curation, Formal analysis.

Resources.

Resources.

Data curation, Formal analysis.

Data curation, Formal analysis.

Resources, Data curation, Formal analysis.

Resources, Data curation, Formal analysis, Validation.

Resources, Data curation, Formal analysis, Supervision.

Resources.

Resources, Funding acquisition, Visualization, Writing – original draft, Project administration.

Resources, Data curation, Formal analysis, Writing – original draft.

Resources, Data curation, Formal analysis, Funding acquisition, Writing – original draft.

Conceptualization, Resources, Data curation, Software, Formal analysis, Supervision, Funding acquisition, Validation, Investigation, Visualization, Methodology, Writing – original draft, Project administration, Writing – review and editing.

Conceptualization, Resources, Data curation, Software, Formal analysis, Supervision, Funding acquisition, Validation, Investigation, Visualization, Methodology, Writing – original draft, Project administration, Writing – review and editing.

Additional files

Supplementary file 1. Primers used in this study.
elife-90309-supp1.docx (17.7KB, docx)
MDAR checklist

Data availability

Code availability statementAll R codes created in the frame of this work is available on Github (https://github.com/MD-Jolivet/eLife_Jolivet_2023; copy archived at Jolivet, 2025). Data availability statementAll raw images obtained in the frame of this work were deposited on BioImage Archive (https://www.ebi.ac.uk/biostudies/bioimages/studies/S-BIAD1733).

The following dataset was generated:

Jolivet MD. 2025. Source data for "Interdependence of plasma membrane nanoscale dynamics of a kinase and its cognate substrate underlies Arabidopsis response to viral infection". ArrayExpress. S-BIAD173

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eLife Assessment

Yoselin Benitez-Alfonso 1

The study is considered important with solid evidence that demonstrates the impact of plasma membrane nano-domains and protein interactions in the plant defence response to viruses. It includes a molecular understanding of the role of a calcium dependent kinase (CPK3) and a remorin protein in the cell-to-cell spread of viruses and cytoskeletal dynamics demonstrating, conclusively, the role of CPK3 with multiple lines of evidence. The work opens avenues to investigate different viruses and other plasma membrane proteins to gain a fuller picture of the involvement of plasmodesmata and other nanodomains in virus spreading.

Reviewer #1 (Public review):

Anonymous

Summary:

How plants perceive their environment and signal during growth and development is of fundamental importance for plant biology. Over the last few decades, nano domain organisation of proteins localised within the plasma-membrane has emerged as a way of organising proteins involved in signal pathways. Here, the authors addressed how a non-surface localised signal (viral infection) was resisted by PM localised signalling proteins and the effect of nano domain organisation during this process. This is valuable work as it describes how an intracellular process affects signalling at the PM where most previous work has focused on the other way round, PM signalling effecting downstream responses in the plant. They identify CPK3 as a specific calcium dependent protein kinase which is important for inhibiting viral spread. The authors then go on to show that CPK3 diffusion in the membrane is reduced after viral infection and study the interaction between CPK3 and the remorins, which are a group of scaffold proteins important in nano domain organisation. The authors conclude that there is an interdependence between CPK3 and remorins to control their dynamics during viral infection in plants.

Strengths:

The dissection of which CPK was involved in the viral propagation was masterful and very conclusive. Identifying CPK3 through knockout time course monitoring of viral movement was very convincing. The inclusion of overexpression, constitutively active and point mutation non-functioning lines further added to that.

Weaknesses:

I would like to thank the researchers for including some additional work suggested in the previous round of peer review. However, I still have concerns over this work which are two fold.

(1) Firstly, the imaging described and shown is not sufficient to support the claims made. The PM localisation and its non-PM localised form look similar and with no PM stain or marker construct used to support this. In addition, the quality of lots of the confocal based imaging (including new figure on colocalisation) is simply not sufficient. The images are too noisy and no clear conclusions can be made. The point made previously, the system this data was collected on has an Airyscan detector capable of 120nm resolution and as such NDs can be resolved. The sptPALM data conclusions are nice and fit the narrative. The inclusion of sptPALM movies is useful for the reader and tracks numbers is highly beneficial. But they do not show a high signal to noise ratio compared to other work in the field (see work from Alex Martineire) and the mEOS prticles are only just observable over the detector noise in some videos. As such, I worry about the data quality on which the analysis is based on. In addition, in some of the videos the conversion laser seems too high as it is difficult to separate some of the single particles as they emerge which would again, hinder the analysis.

(2) Secondly, remorins are involved in a lot of nano domain controlled processes at the PM. The authors have not conclusively demonstrated that during viral infection the remorin effects seen are solely due to its interaction with CPK3. The sptPALM imaging of REM1.2 in a cpk3 knockout line goes part way to solve this and the inclusion of CPK3-CA also strengthens the authors claims. But to propose a kiss and go model bearing in mind the differences in diffusion between CPK3 and REM3 and differential changes to diffusion between the two proteins after PIAMV infection without two colour imaging of both proteins at the same time, the claims are much stronger than the evidence. Negative control experiments are required here utilising other PM localised proteins which have no role during viral infection (such as Lti6B).

Overall, I think this work has the potential to be a very strong manuscript but additional evidence supporting interaction claims would significantly strengthen the work and make it exceptional.

Reviewer #3 (Public review):

Anonymous

Summary:

This study examined the role that the activation and plasma membrane localisation of a calcium dependent protein kinase (CPK3) plays in plant defence against viruses.

The authors clearly demonstrate that the ability to hamper the cell-to-cell spread of the virus P1AMV is not common to other CPKs which have roles in defence against different types of pathogens, but appears to be specific to CPK3 in Arabidopsis. Further, they show that lateral diffusion of CPK3 in the plasma membrane is reduced upon P1AMV infection, with CPK3 likely present in nano-domains. This stabilisation however, depends on one of its phosphorylation substrates a Remorin scaffold protein REM1-2. However, when REM1-2 lateral diffusion was tracked, it showed an increase in movement in response to P1AMV infection. These contrary responses to P1AMV infection were further demonstrated to be interdependent, which led the authors to propose a model in which activated CPK3 is stabilised in nano-domains in part by its interaction with REM1.2, which it binds and phosphorylates, allowing REM1-2 to diffuse more dynamically within the membrane.

The likely impact of this work is that it will lead to closer examination of the formation of nano-domains in the plasma membrane and dissection of their role in immunity to viruses, as well as further investigation into the specific mechanisms by which CPK3 and REM1-2 inhibit the cell-to-cell spread of viruses, including examination of their roles in cytoskeletal dynamics.

Strengths:

The paper provided compelling evidence about the roles of CPK3 and REM1-2 through a combination of logical reverse genetics experiments and advanced microscopy techniques, particularly in single particle tracking.

Weaknesses:

There is limited discussion or exploration of the role that CPK3 has in cytoskeletal organisation and whether this may play a role in the plant's defence against viral propagation. Further. although the authors show that there is no accumulation of CPK3/Rem1.2 at plasmodesmata, it would be interesting to investigate whether the demonstrated reduction of viral propagation is due to changes in PD permeability.

eLife. 2025 May 2;12:RP90309. doi: 10.7554/eLife.90309.3.sa3

Author response

Marie-Dominique Jolivet 1, Anne Flore Deroubaix 2, Marie Boudsocq 3, Nikolaj Abel 4, Marion Rocher 5, Terezinha Robbe 6, Valérie Wattelet 7, Jennifer Huard 8, Dorian Lefebvre 9, Yi-Ju Lu 10, Brad Day 11, Grégoire SAIAS 12, Jahed Ahmed 13, Valérie Cotelle 14, Nathalie Giovinazzo 15, Jean-Luc Gallois 16, Yamaji Yasuyuki 17, Sylvie German-Retana 18, Julien Gronnier 19, Thomas Ott 20, Sébastien Mongrand 21, Véronique Germain 22

The following is the authors’ response to the original reviews.

Public Reviews:

Reviewer #1 (Public Review):

Summary:

How plants perceive their environment and signal during growth and development is of fundamental importance for plant biology. Over the last few decades, nano domain organisation of proteins localised within the plasma-membrane has emerged as a way of organising proteins involved in signal pathways. Here, the authors addressed how a non-surface localised signal (viral infection) was resisted by PM localised signalling proteins and the effect of nano domain organisation during this process. This is valuable work as it describes how an intracellular process affects signalling at the PM where most previous work has focused on the other way round, PM signalling effecting downstream responses in the plant. They identify CPK3 as a specific calcium dependent protein kinase which is important for inhibiting viral spread. The authors then go on to show that CPK3 diffusion in the membrane is reduced after viral infection and study the interaction between CPK3 and the remorins, which are a group of scaffold proteins important in nano domain organisation. The authors conclude that there is an interdependence between CPK3 and remorins to control their dynamics during viral infection in plants.

Strengths:

The dissection of which CPK was involved in the viral propagation was masterful and very conclusive. Identifying CPK3 through knockout time course monitoring of viral movement was very convincing. The inclusion of overexpression, constitutively active and point mutation non functioning lines further added to that.

Weaknesses:

My main concerns with the work are twofold.

(1) Firstly, the imaging described and shown is not sufficient to support the claims made. The PM localisation and its non-PM localised form look similar and with no PM stain or marker construct used to support this. The sptPALM data conclusions are nice and fit the narrative. However, no raw data or movie is shown, only representative tracks. Therefore, the data quality cannot be verified and in addition, the reporting of number of single particle events visualised per experiment is absent, only number of cells imaged is reported. Therefore, it is impossible for the reader to appreciate the number of single molecule behaviours obtained and hence the quality of the data.

(2) Secondly, remorins are involved in a lot of nanodomain controlled processes at the PM. The authors have not conclusively demonstrated that during viral infection the remorin effects seen are solely due to its interaction with CPK3. The sptPALM imaging of REM1.2 in a cpk3 knockout line goes part way to solve this but more evidence would strengthen it in my opinion. How do we not know that during viral infection the entire PM protein dynamics and organisation are altered? Or that CPK3 and REM are at very distant ends of a signalling cascade. Negative control experiments are required here utilising other PM localised proteins which have no role during viral infection. In addition, if the interaction is specific, the transiently expressed CPK3-CA construct (shown to from nano domains) should be expressed with REM1.2-mEOS to show the alterations in single particle behaviour occur due to specific activations of CPK3 and REM1.2 in the absence of PIAMV viral infection and it is not an artefact of whole PM changes in dynamics during viral infection.

In addition, displaying more information throughout the manuscript (such as raw particle tracking movies and numbers of tracks measured) on the already generated data would strengthen the manuscript further.

Overall, I think this work has the potential to be a very strong manuscript but additional reporting of methods and data are required and additional lines of evidence supporting interaction claims would significantly strengthen the work and make it exceptional.

Reviewer #2 (Public Review):

Summary:

The paper provides evidence that CPK3 plays a role in plant virus infection, and reports that viral infection is accompanied by changes in the dynamics of CPK3 and REM1.2, the phosphorylation substrate of CPK3, in the plasma membrane. In addition, the dynamics of the two proteins in the PM are shown to be interdependent.

Strengths:

The paper contains novel, important information.

Weaknesses:

The interpretation of some experimental data is not justified, and the proposed model is not fully based on the available data.

Reviewer #3 (Public Review):

Summary:

This study examined the role that the activation and plasma membrane localisation of a calcium dependent protein kinase (CPK3) plays in plant defence against viruses.

The authors clearly demonstrate that the ability to hamper the cell-to-cell spread of the virus P1AMV is not common to other CPKs which have roles in defence against different types of pathogens, but appears to be specific to CPK3 in Arabidopsis. Further they show that lateral diffusion of CPK3 in the plasma membrane is reduced upon P1AMV infection, with CPK3 likely present in nano-domains. This stabilisation however, depends on one of its phosphorylation substrates a Remorin scaffold protein REM1-2. However, when REM1-2 lateral diffusion was tracked, it showed an increase in movement in response to P1AMV infection. These contrary responses to P1AMV infection were further demonstrated to be interdependent, which led the authors to propose a model in which activated CPK3 is stabilised in nano-domains in part by its interaction with REM1.2, which it binds and phosphorylates, allowing REM1-2 to diffuse more dynamically within the membrane.

The likely impact of this work is that it will lead to closer examination of the formation of nano-domains in the plasma membrane and dissection of their role in immunity to viruses, as well as further investigation into the specific mechanisms by which CPK3 and REM1-2 inhibit the cell-to-cell spread of viruses.

Strengths:

The paper provided compelling evidence about the roles of CPK3 and REM1-2 through a combination of logical reverse genetics experiments and advanced microscopy techniques, particularly in single particle tracking.

Weaknesses:

There is a lack of evidence for the downstream pathways, specifically whether the role that CPK3 has in cytoskeletal organisation may play a role in the plant's defence against viral propagation. Also, there is limited discussion about the localisation of the nano-domains and whether there is any overlap with plasmodesmata, which as plant viruses utilise PD to move from cell to cell seems an obvious avenue to investigate.

Recommendations for the authors:

Reviewer #1 (Recommendations For The Authors):

Viral spread work in CPK mutants with time courses is beautiful!

Regarding my public points on my issues with the imaging:

- Figure 2A shows 'PM' localisation of CPK3 and 'non-PM' imaging of CPK3-G2A. The images are near identical both showing cell outlines and cytoplasmic strands. Here a PM marker (such as Lti6B) tagged with a different fluorophore or PM stain should be used in conjunction with surface views (such as in Figure 2C) to show it really is at the PM and the G2A line is not.

Impaired membrane localization of CPK3-G2A is documented in Mehlmer et al., 2010 using microsomal fractionation. Although Figure 2A main purpose is to show correct expression of the constructs in the lines used for PlAMV propagation (Figure 2B), we replaced the images with wider view pictures to be more representative of the subcellular localization of CPK3 and CPK3-G2A.

- Regarding Figure 2C, this is extremely noisy and PM heterogeneity is barely observable over the noise from the system (looking at the edges of surface imaged). You mention low resolution was an issue. I notice from the methods you have taken confocal images on an Zeiss 880 with Airyscan. These images must be confocal but If imaged with Airyscan the PM heterogeneity would be much clearer (see work from John Runions lab).

Indeed, these are tangential views images obtained by Zeiss 880 with Airyscan. Based on tessellation analysis (Figure 2H-J), CPK3 is rather homogeneously distributed and forms ND of around 70nm of diameter. Objects of such size cannot be resolved using pixel reassignment methods such as Airyscan. Note also that AtREM in our study are less heterogeneously distributed than what was described in the literature for StREM1.3.

- Regarding all sptPALM data. At least an example real data image and video is required otherwise the data can’t be assessed. The work of Alex Martiniere (sptPALM) or Alex Jonson (TIRF) all show raw data so the reader can appreciate the quality of the data. In addition, number of events (particles tracked) has to be shown in the figure legend, not just number of cells otherwise was one track performed per cell? Or 10,000? Obviously where the N sits in this range gives the reader more or less confidence of the data.

We agree and we added example videos of sptPALM experiments in the supplementary data, we also indicated the number of tracked particles in the figure legends.

- On a slight technical aside, how do you know the cells being imaged for sptPALM with PIAMV are actually infected with the virus? In Fig 2C you use a GFP tagged version but in sptPALM you use none tagged. I think a sentence in methods on this would help clarify.

PlAMV-GFP was used for spt-PALM experiment and cell infection was assessed during PALM experiment. This is now precised in the corresponding figures and methods.

- I also have a concern over some of the representative images showing the same things between different figures. Your clustering data in 3F looks very convincing. However, in Figure 2H the mock and PIAMV-GFP look very similar. How is Figure 3F so different for the same experiment? Especially considering the scale bars are the same for both figures. Same for CPK3-mRFP1.2 in Fig 2C and 3A, the same thing is being imaged, at the same scale (scale bars same size) but the images are extremely different.

Figure 2 data were generated using CPK3 stably expressed in A. thaliana while Figure 3 data were obtained upon transient over-expression of CPK3 in N. benthamiana. We do not have a clear explanation for such a difference in CPK3 PM behavior, it could lie on a different PM composition or actin organization between those two species, this point is now addressed in the discussion.

- Line 193&194 - you state that the CA CPK3 is reminiscent of the CPK3 upon PIAMV expression. I don't agree, while CPK3CA is less mobile (2D), the MSD shows it is in-between CPK3 and CPK3 + PIAMV. Therefore, can’t the opposite also be true? That overall the behaviour of CPK3-CA is reminiscent of WT CPK. I think this needs rewording.

We agree and we reworded that part

- Line 651 - what numerical aperture are you using for the lens during confocal microscopy. This is fundamentally important information directly related to the reproducibility of the work. You report it for the sptPALM.

The numerical aperture is now indicated in the methods.

Regarding my bigger point about specific interactions between CPK3 and remorin during viral infection to strengthen your claim the following need doing. I am not suggesting you do all of these but at least two would significantly enhance the paper.

(1) Image a none related PM protein during viral infection using sptPALM and demonstrate that its behaviour is not altered (such as lti6b). This would show the affects on remorin behaviour are specific to CPK3 and not a whole scale PM alteration in dynamics due to viral infection.

(2) Two colour SPT imaging of CPK3 and REM1.2. You show in absence of proteins (knockouts effect on each other) but your only interaction data is from a kinase assay (where CPK1 and 2 also interact, even though they are not localised at the same place) and colocalisation data (see below). A two colour SPT imaging experiment showing interaction and clustering of CPK3 and REM1.2 with each other and the change in their behaviours when viral infected and simultaneously imaged would address all of my concerns.

- On another note, the co-localisation data (fig 5 sup 4) needs additional analysis. I would expect most PM proteins to show the results you show as the data is very noisy. In order to improve I would zoom in to fill the field of view and then determine correlation and also when one image is rotated 90 degrees (as described in Jarsch et al., plant cell) to enhance this work.

(3) In the absence of viral infection, but presence of CPK3-CA, is sptPALM REM1.2 behaviour in the PM altered, if so then the interaction is specific and changes in remorin dynamics are not due to whole scale PM changes during viral infection and the manuscript substantially strengthened.

(4) Building on from (3), if you have a CPK3 mutated with both CPK3-CA and G2A this would be constitutively active and non-PM localised and as such should not affect Remorin behaviour if your model is true, this would strengthen the case significantly but I appreciate is highly artificial and would need to be done transiently.

Regarding the first point, since the role of PM proteins involved in potexvirus infection is barely assessed, picking a non-related PM protein might be tricky. The data obtained with mEOS3.2-REM1.2 expressed in cpk3 null-mutant point towards a specific role of CPK3 in PlAMV-induced REM1.2 diffusion and not a general alteration of PM protein behavior.

Regarding the second point, we already reported the in vivo interaction between AtCPK3CA and AtREM1.2/AtREM1.3 by BiFC in N.benthamiana (Perraki et al 2018) and AtCPK3 was shown to co-IP with AtREM1.2 (Abel et al, 2021). While we agree on the relevance of doing dual color sptPALM with CPK3 and REM1.2, it is so far technically challenging and we would not be able to implement this in a timely manner. For the colocalization, although the whole cell is displayed in the figure, the analysis was performed on ROI to fill the field of analysis.

We agree with the relevance of adding the colocalization analysis of randomized images (mTagBFP2 channel rotated 90 degrees), this is now added to Figure 5 – supplement figure 5.

Finally, for the third and fourth points, spt-PALM analysis of REM1.2 in presence of CPK3-CA and CPK3-CA-G2A was performed (Figure 5 - figure supplement 4). The results suggest a specific role of CPK3-CA in REM1.2 diffusion.

Minor points:

Line 59 - from, I think you mean from.

Line 63 - Reference needed after latter.

Line 68 - Reference required after viral infection.

Line 85 - Propose not proposed.

Line 156 - Allowed us to not allows to.

Line 204 - add we previously 'demonstrated'

Line 622 and 623 - You say lines obtained from Thomas Ott. This is very odd phrasing considering he is an author. I appreciate citing the work producing the lines but maybe reword this

These points were corrected, thank you.

Reviewer #2 (Recommendations For The Authors):

The paper provides evidence that CPK3 plays a role in plant virus infection, and reports that viral infection is accompanied by changes in the dynamics of CPK3 and REM1.2, the phosphorylation substrate of CPK3, in the plasma membrane. In addition, the dynamics of the two proteins in the PM are shown to be interdependent. The paper contains novel, important information that can undoubtedly be published in eLife. However, I have some concerns that should be addressed before it can be accepted for publication.

Major concerns

When the authors say that CPK3 plays a role in viral propagation, it should be clarified what is meant by 'propagation', - replication of the viral genome, its cell-to-cell transport, or long-distance transport via the phloem. By default the readers will tend to assume the former meaning. In my opinion, the term 'propagation' is misleading and should be avoided.

We purposely chose the term “propagation” because it sums replication and cell-to-cell movement. Nevertheless, we previously showed that group 1 StREM1.3 doesn’t alter PVX replication (Raffaele et al., 2009 The Plant Cell). In this paper, as we do not investigate the role of AtREM1.2 or AtCPK3 in the replication of the viral PlAMV genome, we cannot state that these proteins are strictly involved in cell-to-cell movement of the virus.

The authors show that viral infection is associated with decreased diffusion of CPK3 and increased diffusion of REM1.2 in the PM. However, it remains unclear whether these changes are related to partial resistance to viral infection involving CPK3 and REM1.2, or whether they are simply a consequence of viral infection that may lead to altered PM properties and altered dynamics of PM-associated proteins. Therefore, the model presented in Fig. 6 appears to be entirely speculative, as it postulates that changes in CPK3 and REM1.2 dynamics are the cause of suppressed virus 'propagation'. In addition, the model implies that a decrease in CPK3 mobility leads to activation of its kinase activity. This view is not supported by experimental data (see my next comment). The model should be deleted (both as the figure and its description in the Discussion) or substantially reworked so that it finally relies on existing data.

For the first point, the results obtained from the additional experiments proposed by reviewer #1 supports the hypothesis of a direct impact of CPK3 on REM1.2 diffusion (Figure 5 - figure supplement 4).

We agree with the second point and reworked the model to remove the link between CPK3 activation and its increased diffusion.

The statement that 'changes in CPK3 dynamics upon PlAMV infection are linked to its activation' (line 194) is based on a flawed logic, and the conclusion in this section of Results ('changes in CPK3 dynamics upon PlAMV infection are linked to its activation') is incorrect, as it is not supported by experimental data. In fact, the authors show that CPK3 dynamics and clustering upon viral infection is somewhat reminiscent of the behavior of a CPK3 deletion mutant, which is a constitutively active protein kinase. However, this partial similarity cannot be taken as evidence that CPK3 dynamics upon PlAMV infection are related to its activation. Furthermore, the authors emphasize the similarity of the mutant and CPK3 in infected cells without taking into account a drastic difference in their localization (Fig. 3A, middle and right panels) showing that the reduced dynamics or the compared proteins may have different causes. I suggest the removal of the section 'CPK3 activation leads to its confinement in PM ND' from the paper, as the results included in this section are not directly related to other data presented.

The PM lateral organization of PM-bound CPKs in their native or constitutively active form as well as the role of lipid in such phenomenon was never shown before. We believe that this section contains relevant information for the community. We kept the section but reworded it to tamper the correlation made between CPK3 PM organization upon viral infection and its activation.

Line 270 - 'group 1 REMs might play a role in CPK3 domain stabilization upon viral infection'. This is an overstatement. The size of the CPK3-containing NDs may have no correlation with their stability.

We reworded the sentence.

Minor points

Line 204 - we previously that Line 234 and hereafter - "the D" sounds strange. Suggest using "the diffusion coefficient".

This was reworded.

Reviewer #3 (Recommendations For The Authors):

The authors have previously demonstrated that there was an increase in REM1.2 localisation to plasmodesmata under viral challenge. It would be useful to see if there was any co-localisation of REM1.2 and CPK3 with plasmodesmata in response to PlAMV and how this is affected in the mutants. This could be carried out relatively simply using aniline blue.

These experiments were added to the supplementary data of Figure 2 – figure supplement 2. and Figure 4 – figure supplement 4. , no enrichment of CPK3 or REM1.2 at plasmodesmata could be observed upon PlAMV infection.

Fig 3 supplementary figure 2 would be better incorporated into the main body of Figure 3 as this underpins discussion on the involvement of lipids such as sterols in the formation of nanodomains.

We moved Figure 3 – Supplementary figure 2 to the main body of Figure 3.

Minor corrections:

Whilst the paper is generally well written there are a number of grammatical errors:

Line 1 & 2: Title doesn't quite read correctly, suggest a rewording for clarity.

L31: Insert "a"after only

L33: Replace "are playing" with "play"

L34: Begin sentence "Viruses are intracellular pathogens and as such the role..."59: replace "form" with "from"

L63: Insert "was demonstrated" after REM1.2

L85: Replace "proposed" with "propose"

L86: replace "encouraging to explore" with "which will encourage further exploration of "

L129: replace "we'll focus on" with "we concentrated on"

L131: insert "an" before ATP

L138: change "among" to "amongst"

L156: change "allows to analyse" to "allows the analysis of"

L204: Insert "showed" after previously.

L232: "root seedlings" should this be the roots of seedlings?

L235: insert "to" after "as"

L280: insert "a" after "only"

L281: change " to play" with "as playing": change CA to superscript

L307: Insert "was" after "transcription"

L320: change "display" to "displaying"

L321: change "form" to forms"

L340: "hampering" should come before viral

L365: insert"us' after "allow"

Thank you, these were corrected

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Data Citations

    1. Jolivet MD. 2025. Source data for "Interdependence of plasma membrane nanoscale dynamics of a kinase and its cognate substrate underlies Arabidopsis response to viral infection". ArrayExpress. S-BIAD173 [DOI] [PMC free article] [PubMed]

    Supplementary Materials

    Figure 1—source data 1. Original files for western blot analysis displayed in Figure 1F.
    Figure 1—source data 2. PDF file containing original western blots for Figure 1F, indicating the relevant bands and tested conditions.
    Figure 1—source data 3. Related to Figure 1B.
    Figure 1—source data 4. Related to Figure 1C.
    Figure 1—source data 5. Related to Figure 1E.
    Figure 1—source data 6. Related to Figure 1G.
    Figure 1—figure supplement 2—source data 1. Original files for western blot analysis displayed in Figure 1—figure supplement 2.
    Figure 1—figure supplement 2—source data 2. PDF file containing original western blots for Figure 1—figure supplement 2, indicating the relevant bands and tested conditions.
    Figure 1—figure supplement 3—source data 1. Original files for western blot analysis displayed in Figure 1—figure supplement 3.
    Figure 1—figure supplement 3—source data 2. PDF file containing original western blots for Figure 1—figure supplement 3, indicating the relevant bands and tested conditions.
    Figure 2—source data 1. related to Figure 2B.
    Figure 2—source data 2. related to Figure 2E.
    elife-90309-fig2-data2.xlsx (770.4KB, xlsx)
    Figure 2—source data 3. related to Figure 2F.
    Figure 2—source data 4. related to Figure 2G.
    Figure 2—source data 5. related to Figure 2I.
    Figure 2—source data 6. related to Figure 2J.
    Figure 2—source data 7. related to Figure 2K.
    Figure 2—figure supplement 1—source data 1. Related to Figure 2—figure supplement 1A.
    Figure 2—figure supplement 1—source data 2. Original files for western blot analysis displayed in Figure 2—figure supplement 1.
    Figure 2—figure supplement 1—source data 3. Original files for western blot analysis displayed in Figure 2—figure supplement 1.
    Figure 3—source data 1. Related to Figure 3C.
    elife-90309-fig3-data1.xlsx (728.1KB, xlsx)
    Figure 3—source data 2. Related to Figure 3D and E.
    Figure 3—source data 3. Related to Figure 3G.
    Figure 3—source data 4. Related to Figure 3H.
    Figure 3—source data 5. Related to Figure 3I.
    Figure 3—source data 6. Related to Figure 3J.
    Figure 3—source data 7. Related to Figure 3K.
    Figure 4—source data 1. Related to Figure 4A.
    Figure 4—source data 2. Related to Figure 4B.
    Figure 4—source data 3. Related to Figure 4F.
    Figure 4—source data 4. Related to Figure 4G.
    Figure 4—source data 5. Related to Figure 4H.
    Figure 4—source data 6. Related to Figure 4J.
    Figure 4—source data 7. Related to Figure 4K.
    Figure 4—source data 8. Related to Figure 4L.
    Figure 4—figure supplement 1—source data 1. Original files for western blot analysis displayed in Figure 4—figure supplement 1.
    Figure 4—figure supplement 1—source data 2. PDF file containing original western blots for Figure 4—figure supplement 1, indicating the relevant bands and tested conditions.
    Figure 4—figure supplement 3—source data 1. Related to Figure 4—figure supplement 3A.
    Figure 4—figure supplement 3—source data 2. Original files for western blot analysis displayed in Figure 4—figure supplement 3.
    Figure 4—figure supplement 3—source data 3. PDF file containing original western blots for Figure 4—figure supplement 3, indicating the relevant bands and tested conditions.
    Figure 5—source data 1. Related to Figure 5A.
    Figure 5—source data 2. Related to Figure 5D.
    Figure 5—source data 3. Related to Figure 5E.
    Figure 5—source data 4. Related to Figure 5F.
    Figure 5—source data 5. Related to Figure 5H.
    Figure 5—source data 6. Related to Figure 5I.
    Figure 5—source data 7. Related to Figure 5J.
    Figure 5—figure supplement 1—source data 1. Original files for western blot analysis displayed in Figure 5—figure supplement 1.
    Figure 5—figure supplement 1—source data 2. PDF file containing original western blots for Figure 5—figure supplement 1, indicating the relevant bands and tested conditions.
    Figure 5—figure supplement 3—source data 1. Related to Figure 5—figure supplement 3B.
    Figure 5—figure supplement 3—source data 2. Related to Figure 5—figure supplement 3C.
    Figure 5—figure supplement 3—source data 3. Related to Figure 5—figure supplement 3D.
    Figure 5—figure supplement 3—source data 4. Related to Figure 5—figure supplement 3F.
    Figure 5—figure supplement 3—source data 5. Related to Figure 5—figure supplement 3G.
    Figure 5—figure supplement 3—source data 6. Related to Figure 5—figure supplement 3H.
    Figure 5—figure supplement 4—source data 1. Related to Figure 5—figure supplement 4B.
    Supplementary file 1. Primers used in this study.
    elife-90309-supp1.docx (17.7KB, docx)
    MDAR checklist

    Data Availability Statement

    Code availability statementAll R codes created in the frame of this work is available on Github (https://github.com/MD-Jolivet/eLife_Jolivet_2023; copy archived at Jolivet, 2025). Data availability statementAll raw images obtained in the frame of this work were deposited on BioImage Archive (https://www.ebi.ac.uk/biostudies/bioimages/studies/S-BIAD1733).

    The following dataset was generated:

    Jolivet MD. 2025. Source data for "Interdependence of plasma membrane nanoscale dynamics of a kinase and its cognate substrate underlies Arabidopsis response to viral infection". ArrayExpress. S-BIAD173


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