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Logo of nihpaAbout Author manuscriptsSubmit a manuscriptNIH Public Access; Author Manuscript; Accepted for publication in peer reviewed journal;
Nature. Author manuscript; available in PMC Sep 18, 2010.
Published in final edited form as:
PMCID: PMC2841715

Differential innate immune signalling via Ca2+ sensor protein kinases


Innate immunity represents the first line of inducible defense against microbial infection in plants and animals13. In both kingdoms, recognition of pathogen- or microbe-associated molecular patterns (PAMPs or MAMPs), such as flagellin, initiates convergent signalling pathways involving MAP kinase (MAPK) cascades and global transcriptional changes to boost immunity14. Although Ca2+ has long been recognized as an essential and conserved primary mediator in plant defense responses, how Ca2+ signals are sensed and relayed into early MAMP signalling is unknown5,6. Here, we use a functional genomic screen and genome-wide gene expression profiling to show that four calcium-dependent protein kinases (CDPKs) are Ca2+ sensor PKs critical to transcriptional reprogramming in plant innate immune signalling. Unexpectedly, CDPKs and MAPK cascades act differentially in four MAMP-mediated regulatory programs to control early genes involved in synthesis of defense peptides and metabolites, cell wall modifications and redox signalling. Transcriptome profile comparison suggests that CDPKs are the convergence point of signalling triggered by most MAMPs. Double, triple and quadruple cpk mutant plants display progressively diminished oxidative burst and gene activation induced by flg22, as well as compromised pathogen defense. In contrast to negative roles of calmodulin (CAM) and a CAM-activated transcription factor in plant defense7,8, the present study reveals Ca2+ signalling complexity and demonstrates key positive roles of specific CDPKs in initial MAMP signalling.

Plants and animals sense invasion of potential microbial pathogens using pattern recognition receptors (PRRs) for diverse MAMPs and launch cascades of innate immune responses that are critical for fitness and survival13. Multiple MAMPs appear to trigger similar early responses via different PRRs, including Ca2+ influxes, MAPK cascade activation, oxidative burst and transcriptional reprogramming in various plants1,36. Bacterial flagellin epitope flg22 and other MAMPs can induce potent Ca2+ signatures in both cytoplasm and nucleus within minutes9,10. It has been shown that lipopolysaccharide (LPS)-mediated NO production is dependent on Arabidopsis CAM-like protein CML2411. However, no Ca2+ sensors have been identified in flg22 or other MAMP signalling, and their immediate downstream responses remain elusive.

There are three major types of known Ca2+ sensors in plants: CAMs/CMLs, calcineurin B-like proteins (CBLs) and CDPKs1114. CDPKs represent a plant innovation encoded by a large gene family of 34 members in Arabidopsis12,15 (Supplementary Fig. 1). To investigate the potential link between Ca2+ signatures and CDPKs in plant innate immune responses, we developed an in-gel kinase assay to detect flg22-induced endogenous Ca2+-dependent PK activities using histone as a general substrate12,15. We observed transient activation of multiple putative CDPKs between 5 to 30 min after flg22 elicitation (Fig. 1a and data not shown). The putative 60 kD CDPKs are distinct, in molecular weight and kinetics, from the long-lasting (10 to 180 min) CDPK induced by Avr9-Cf9 interaction in cell death control in tobacco16,17, but similar in size to the potato StCDPK4 and StCDPK5 that were recently shown to mediate oxidative burst by directly phosphorylating NADPH oxidase RBOHB (respiratory burst oxidase homolog)18. Significantly, flg22 activation of CDPKs was abolished in the fls2 mutant and by Ca2+ blockers (La3+ and BAPTA) (Supplementary Fig. 2). To test whether transient Ca2+ signatures9 and CDPK activation could be correlated with transcriptional activation of early flg22 responsive genes, we first selected a marker gene, NHL10 (NDR1/HIN1-like 10)19, that is highly induced by flg22 within 30 min (Fig. 1b). To simplify the NHL10 transcription activation assay, the promoter of NHL10 was fused to the firefly luciferase reporter gene (LUC) to generate a reporter for leaf protoplast transient assays, a well established cell system for MAMP signalling studies4,20. Importantly, flg22 activation of NHL10-LUC is absolutely dependent on the FLS2 receptor kinase (Fig. 1c), and is abolished by the general PK inhibitor K252a that could potentially inhibit multiple PKs in flg22 signalling (Fig. 1d). The Ca2+ channel blockers (La3+, Gd3+) that prevent influx of external calcium effectively diminished NHL10-LUC activation by flg22 (Fig. 1d), despite a possible Ca2+ release from internal stores. Thus, these data suggest that putative CDPKs could be activated by flg22 and involved in early transcriptional control downstream of the FLS2 receptor.

Figure 1
Functional genomic screen for CDPKs in early flg22 signalling

We designed a functional genomic screen to identify CDPK candidates and elucidate their biological functions in innate immune signalling. In Arabidopsis, the 34 CDPK members can be classified into four subgroups (I–IV) based on sequence similarity12,15 (Supplementary Fig. 1). We first determined the expression patterns of Arabidopsis CPK genes using real-time quantitative RT-PCR (qRT-PCR) (Supplementary Fig. 3 and Table 1) and public microarray data21. The 25 members expressed in leaves were tested in a functional screen for their ability to activate the Ca2+-dependent flg22 reporter NHL10-LUC in mesophyll protoplasts. A constitutively active form of each CDPK (CPKac) was generated by deleting both C-terminal Ca2+ regulatory and auto-inhibitory domains22,23, while retaining the N-terminal variable sequences potentially important for subcellular localization12,15. When each CPKac was co-expressed with NHL10-LUC in a protoplast transient expression assay, we discovered that only specific CPKac could induce NHL10-LUC more than 5-fold, mimicking flg22 (Fig. 1e). Remarkably, five of them (CPKac 4, 5, 6, 11 and 26) belong to a closely related clade in subgroup I (Supplementary Fig. 1), suggesting potential redundancy along with the functional specificity. This finding was unexpected because the best studied CDPK known to play a critical role in plant defense is the tobacco NtCDPK2 involved in gene-for-gene (Avr9-Cf9) fungal resistance17, but its Arabidopsis orthologues CPK1ac and CPK2ac did not significantly induce NHL10-LUC expression (Fig. 1e) despite their relatively high kinase activity (Supplementary Fig. 4). Thus, different CDPKs even within the same subgroup may play distinct roles in plant defense signalling. NHL10-LUC induction by CPK3ac, which belongs to subgroup II (Supplementary Fig. 1), might be associated with its higher protein expression and kinase activity (Fig. 1e, Supplementary Fig. 4). The five CDPK candidates in subgroup I displayed predicted molecular weights matching the putative 60 kD CDPKs activated by flg22 in leaf cells15 (Fig. 1a), but CPK26 showed relatively low endogenous expression in leaves, compared to the others (Supplementary Fig. 3, Table 1). Thus, we focused our studies on CPK4, 5, 6 and 11 and demonstrated that their kinase activity was required to induce NHL10-LUC expression (Supplementary Fig. 5a). Their full-length (FL) forms that absolutely required Ca2+ for activation could not activate NHL10-LUC in the absence of flg22 unless Ca2+ was artificially introduced into the cells using a Ca2+ ionophore A23187 to partially mimic flg22 signalling22 (Supplementary Fig. 5b–d).

To further elucidate the function of CPK4, 5, 6, and 11 in flg22 signalling, we used ATH1 whole-genome GeneChips to identify potential CDPK early target genes24. CPK5 and CPK11 were selected as representative of the closely related gene pairs CPK5/6 and CPK4/11 (Supplementary Fig. 1), and constitutively active forms were transiently expressed in protoplasts to carry out RNA expression profiling. Potential target genes of CPK5ac and CPK11ac were identified by extensive microarray data analyses using multiple algorithms, stringent filtering, and marker gene validation by qRT-PCR (Fig. 2, ,3,3, ,4a,4a, Supplementary Fig. 6, Table 2 and Methods). Significantly, the majority (70%, 171 out of 244) of CPK5ac and CPK11ac early target genes were also regulated by flg22 within 30 to 60 min in mesophyll protoplasts, seedlings and leaves19 (Fig. 2a, Supplementary Tables 2–6). Many (81 out of 171) of these flg22-CDPK early target genes are shared by CPK5ac and CPK11ac, suggesting functional redundancy. However, unique target genes for CPK5ac (59 out of 171) or CPK11ac (31 out of 171) were also observed. CPK5ac-specific target genes (72) showed even higher positive correlation (82%, 59 of the 72) with early flg22 responsive genes. CPK11ac but not CPK5ac appeared to repress genes in early flg22 signalling (Fig. 2a, Supplementary Tables 4, 5). Notably, many flg22-CDPK target genes encode enzymes that modulate defense-related metabolites, cell wall and redox signalling (Supplementary Tables 3–5). For instance, recent biochemical and genetic evidence supports the involvement of CYP81F2 (cytochrome P450 monooxygenase), PEN2 (myrosinase) and the transcription factor MYB51 in glucosinolate and callose metabolism in innate immune responses25,26. Three genes (PROPEP1, 2, 3) encoding endogenous defense peptide signals were also activated early by flg22, CPK5ac and CPK11ac27 (Supplementary Tables 3–5). Strikingly, only a few transcription factors (TFs) and no significant marker genes for abscisic acid, methyljasmonate, ethylene or salicylate could be identified28 (Supplementary Tables 3–5, data not shown). CDPKs may play a major role in rapid transcriptional reprogramming by directly regulating activity of TFs rather than their expression29. Identification of early flg22 responsive genes as CPK5ac and CPK11ac target genes further supports potential roles of specific CDPKs in primary flg22 signalling.

Figure 2
Transcriptome profiling of CPK5ac and CPK11ac target genes in flg22, multiple MAMP and microbial signalling
Figure 3
Interplay between CDPK and MAPK cascades in flg22 signalling
Figure 4
CDPKs are critical positive regulators in flg22 signalling

Because Ca2+ influxes are common early events downstream of multiple MAMP perception9,10, we compared the flg22-CDPK early target genes (Fig. 2a, Supplementary Tables 3–5) to published MAMP microarray datasets generated with ATH1 GeneChips (Fig. 2b, Supplementary Table 7 and Methods). In these experiments, Arabidopsis seedlings or leaves were treated with diverse MAMPs from bacteria (elf26, a 26 amino acid peptide of elongation factor EF-Tu; harpin; LPS and PGN, peptidoglycan), fungi (chitin) and oomycetes (NPP1, necrosis-inducing Phytophthora protein)10,20. The results clearly showed that elf26, harpin, chitin and NPP1 activated similar early genes as flg22, CPK5ac and CPK11ac (Fig. 2b). Thus, in addition to the MAMP-activated convergent MAPK cascades4,20, specific CDPKs also play a crucial role in early MAMP signalling downstream of diverse PRRs3,9,10. Intriguingly, LPS activated very few flg22-CDPK target genes (19%) and PGN stimulated only 79 (46%), presumably due to eliciting distinct Ca2+ signatures10,11. As a control, we showed that ABA activated hardly any flg22-CDPK target genes despite its role in defense gene regulation28 (Fig. 2b). Thus, Ca2+ influx induced by elicitors, MAMPs, Avr effectors, and hormones may activate similar as well as different downstream defense responses. Future investigations will reveal more complex and diverse Ca2+ signalling mechanisms in plants.

To gain new insight into potential CDPK activation during plant-microbe interactions, we compared the flg22-CDPK target genes (Fig. 2a, Supplementary Tables 3–5) with published microarray datasets of genes activated during the infection processes by bacteria (Pseudomonas syringae pv. phaseolicola), fungi (Botrytis cinerea) and oomycetes (Phytophthora infestans) (Fig. 2c, Supplementary Table 8 and Methods) (http://arabidopsis.org/info/expression/ATGenExpress.jsp). Identification of co-regulated genes indicated that CDPK activation of early gene expression is likely a conserved natural response when plants encounter various microbes and launch MAMP-mediated innate immune signalling.

To uncover possible connections between CDPK signalling and MAPK cascades3,4,10,30, we analyzed by qRT-PCR the expression of selected flg22-inducible genes in protoplasts expressing constitutively active CPKac or MKK4a. Unexpectedly, our analysis revealed at least four regulatory programs for early flg22-responsive genes (Fig. 3a). Genes like FRK1 (FLG22-INDUCED RECEPTOR KINASE1) was MAPK-specific4 while PHI1 (PHOSPHATE-INDUCIBLE1) appeared to be CDPK-specific. Other flg22 early genes were either activated equally by both CPKac and MKK4a, such as NHL10, PER62 (PEROXIDASE62) and PER4, or were induced to much higher levels by MKK4a, e.g., CYP82C2, CYP81F2, WAK2 (WALL-ASSOCIATED KINASE2) and FOX (FAD-LINKED OXIDOREDUCTASE). When CPK5ac and MKK4a were co-expressed in protoplasts, CDPK-specific and MAPK-specific genes were partially antagonized by introduction of the other pathway (Fig. 3b). In contrast, for genes co-regulated by CDPK and MAPK signalling, the two pathways could act either synergistically or independently. Unlike in other defense signalling pathways5,6, Ca2+ blockers reduced but did not eliminate MAPK or NHL10-LUC activation by flg22 (Supplementary Fig. 7, Fig. 1d). Consistently, CPKac did not activate MPK3 or MPK6 when co-expressed in protoplasts (Supplementary Fig. 8). These data unravelled previously unrecognized complexity and dynamics in early transcriptional reprogramming mediated by differential activities of CDPKs and MAPK cascades in plant innate immunity.

In parallel to the comprehensive gain-of-function approach, we identified loss-of-function cpk single mutants from the T-DNA insertion collections (Supplementary Fig. 9a), and generated higher order cpk mutants to conduct molecular and physiological analyses of flg22 signalling. While T-DNA insertion into CPK5, 6 and 11 created null mutants, all the putative cpk4 mutant lines we examined showed only partially reduced transcript levels (Supplementary Fig. 9b and data not shown). We obtained the cpk5,6 double and cpk5,6,11 triple mutants by genetic crosses and generated the cpk4,5,6,11 quadruple mutant by virus-induced gene silencing (VIGS)24 (Supplementary Fig. 9). Single and higher order cpk mutants did not exhibit apparent phenotypes under normal growth conditions (data not shown). Consistent with the functional redundancy of subgroup I CDPKs (Fig. 1e, ,2,2, ,3a),3a), we did not observe altered flg22 responses or pathogen susceptibility in single cpk mutants (Supplementary Fig. 10 and data not shown). Further mutant characterization was performed with double, triple and quadruple cpk mutants (Fig. 4a–c). Although cpk5,6 and cpk5,6,11 lost most flg22 activation of 60 kD CDPKs (Supplementary Fig. 11), MAPK activation by flg22 was not affected in cpk5,6 and cpk5,6,11 mutants (Supplementary Fig. 12), confirming the gain-of-function results (Supplementary Fig. 8). Thus, CDPKs and MAPK cascades are most likely activated independently downstream of the FLS2 receptor (Fig. 4d).

Using qRT-PCR, we confirmed that flg22 induction of the MAPK-specific target gene FRK1 was not altered, whereas all eight predicted flg22-CDPK target genes displayed differentially impaired flg22 induction in double, triple and quadruple cpk mutants (Fig. 4a). CPK4, 5, 6, and 11 were all important for regulation of PHI1, NHL10, PER62 and PER4 as their flg22 induction decreased progressively in the double, triple and quadruple cpk mutants (Fig. 4a). For CYP81F2, WAK2 and FOX activation by flg22, CPK5,6 and the MAPK cascades played equal but independent roles (Fig. 3, ,4a).4a). Interestingly, CPK5 and CPK6 were essential for flg22 activation of CYP82C2, which uniquely required the synergistic CDPK and MAPK functions (Fig. 3b, ,4a).4a). The oxidative burst induced by flg22 was gradually reduced in cpk5,6, cpk5,6,11 and cpk5,6,11,4VIGS mutants to a similar level as in the flg22 signalling mutant bak1 (Fig. 4b), suggesting a role for these CDPKs in regulating ROS production, potentially by directly phosphorylating the NADPH oxidase RBOHB18. We evaluated the role of CDPKs in Arabidopsis plant susceptibility to a bacterial pathogen, and showed increased growth of Pseudomonas syringae pv. tomato (Pst) DC3000 in cpk5,6 and cpk5,6,11 mutants (Supplementary Fig. 13), likely due to impairment in multiple MAMP signalling pathways20 (Fig 2a, b). Moreover, flg22-induced immunity against Pst DC300019,20 was also compromised in a seedling pathogen assay in cpk5,6 and cpk5,6,11 mutants compared to those observed in bak1 and fls2 mutants (Fig. 4c). Interestingly, all four CPK-GFP fusions were localized in both cytoplasm and nucleus29 (Supplementary Fig. 14), supporting their potentially versatile functions in response to flg22, including the activation of NADPH oxidase and the modulation of gene expression (Fig. 4d).

By integrating a functional genomic screen, transcriptome profiling and reverse genetics, we have presented compelling evidence for the identification of a specific subgroup of CDPKs that regulate MAMP-triggered immunity in Arabidopsis. Since CDPKs are evolutionarily conserved, these findings might offer new tools to enhance disease resistance in crop plants. The apparent functional redundancy of closely related CDPKs and their complex interactions with MAPK cascades illustrate the challenges in dissecting the MAMP signalling network. The different Ca2+ signatures associated with diverse MAMPs9,10 may potentially be decoded by distinct CDPKs and other Ca2+ sensors, such as CML2411, in various subcellular locales and partially account for differential MAMP responses. We provide genomic evidence that CDPK activities are the convergence point of signalling triggered by multiple but not all MAMPs.


DNA constructs

The full-length and truncated Arabidopsis CPK constructs were fused to the FLAG tag or GFP at the C-terminus in a plant expression vector4,20,22 (Supplementary Tables 9–11). A 1632-bp promoter region of NHL10 was fused to the LUC reporter gene to generate NHL10-LUC. The effector constructs FLS2-HA, MKK4a-MYC, MPK3-HA and MPK6-HA have been described4,20.

Mesophyll protoplast transient expression assay

Protoplast isolation and transient expression assays were carried out as described4,20. For promoter activities, protoplasts were co-transfected with UBQ10-GUS as an internal control. Protein expression was monitored by immunoblot using commercially available monoclonal antibodies raised against HA (Roche), MYC (Roche) and FLAG (Sigma) epitope tags. In vitro and in-gel kinase assays were carried out as described4, using MBP and histone as substrates for MAPK and CDPK activities, respectively.

Gene expression analysis

Real-time and semi-quantitative RT-PCR were carried out using the primers listed in Supplementary Tables 12 and 13. UBQ5 (At3g62250), TUB4 (At5g44340) and EIF4a (At3g13920) were used as control genes. Global gene expression analyses were performed with Arabidopsis ATH1 GeneChip arrays (Affymetrix) and were compared to publicly available microarray data. For details on data processing and analyses, see Supplementary Information.

Analysis of cpk mutants

The loss-of-function cpk mutants were isolated from ABRC resources (Supplementary Table 14). Higher order cpk mutants were generated either by crossing or VIGS. Bacterial growth assays were performed in leaves and seedlings using Pst DC3000. The oxidative burst was measured using a luminol-based assay3.


Plant material and growth conditions

We isolated homozygous T-DNA insertions mutants31, cpk5 (sail_657C06), cpk6 (salk_025460) and cpk11 (salk_054495), using seeds obtained from ABRC. The T-DNA insertions were confirmed by sequencing (Supplementary Fig. 9a). While T-DNA insertions abolished gene expression of CPK5, CPK6 and CPK11, VIGS of CPK4 strongly reduced gene expression of CPK4 (Supplementary Fig. 9b). Wild-type (WT) Col-0, fls2 (salk_093905), bak1 (salk_116202) and cpk mutants were grown on soil in a growth chamber at 23°C with a 13 h photoperiod for 4 weeks before bacterial inoculation or protoplast isolation. The cpk5,6 double and cpk5,6,11 triple mutants were generated by genetic crosses. For in-gel kinase assay with seedlings, WT and cpk mutants were grown in liquid medium 0.5 × MS, 0.5% sucrose, for 10 days at 23°C with a 13 h photoperiod.

Bacterial growth assays

The bacterial growth assays were performed as previously described32,33. Briefly, Arabidopsis leaves of 4-week-old plants were infiltrated with Pst DC3000 at 5×104 cfu/ml and bacterial growth was monitored 4 days after inoculation using serial dilution plating of ground leaf disks. For seedling assay, 5-day-old seedlings grown in liquid 0.5 × MS were treated with 100 nM flg22 for 1 day prior to co-cultivation with Pst DC3000 at 1×107 cfu/ml for 3 days. Surface sterilized seedlings were ground for bacterial counting as above. The experiments were repeated three times with similar results.

Effector and reporter constructs

All primers used for cloning and mutagenesis are listed in Supplementary Tables 9–11 and PCR products were checked by sequencing. For CDPK effector constructs, the coding region was amplified from Arabidopsis Col-0 complementary DNA, fused to FLAG epitope tag or GFP at the C-terminus, and cloned between a 35S-derived promoter and NOS terminator4,20,22,32,34. For the NHL10-LUC reporter construct, the 1632-bp sequence immediately upstream of the translation start codon of NHL10 was amplified by PCR from Arabidopsis (Col-0) genomic DNA and fused to the luciferase coding region.

Mesophyll protoplast transient expression assay

The detailed protocol was described in Yoo et al (2007)34. Typically, 0.1 ml protoplasts at a density of 2×105/ml were transfected with 20 μg total DNA including different effector and reporter constructs. The ratio of effector and reporter DNA was 1:1. For promoter activities, UBQ10-GUS was co-transfected as an internal control. The results were presented as LUC/GUS ratio and normalized to the values obtained without the treatment or effector expression. To induce flg22 responses, transfected protoplasts were incubated for 30 min before elicitation with 100 nM flg22 for various time periods as indicated. To examine the effect of various effectors (e.g., CDPKs) on reporter expression, transfected protoplasts were incubated for 6 h. For experiments with FL CPK5 and Ca2+/A23187, protoplasts were incubated for 4 h to allow CDPK protein accumulation, and then cultured with the ionophore for 3 h. For protein expression and kinase assays, 0.2 ml protoplasts were transfected with 40 μg total DNA and collected 6 h later. All experiments showed similar results when repeated 3–5 times with duplicated or triplicated samples.

Subcellular localization

Protoplasts from cell suspension were isolated and transfected as reported35. GFP fluorescence was observed by confocal microscopy (LEICA SP2 inverted confocal microscope).

Protein kinase assays

Kinase assays were carried out as previously described4,32. The in-gel CDPK assay was modified from the MAPK assay using histone as the substrate without cold ATP and EDTA.

RT-PCR analysis

Primers used for qRT-PCR and semi-quantitative RT-PCR are listed in Supplementary Tables 12 and 13. Total RNA was isolated from protoplasts using RNeasy Plant Mini kit (Qiagen). The cDNA was synthesized from 1 μg of total RNA using oligo(dT) primer and reverse transcriptase (Promega). RT-PCR was run for 30 cycles and UBQ5 (At3g62250) was used as a control gene. Quantitative RT-PCR analysis was carried out with an iCycler iQ real-time PCR system using iQ SYBR Green supermix (Bio-Rad), with TUB4 (At5g44340) and EIF4a (At3g13920) as control genes.

Microarray analysis

Protoplasts transfected with control DNA, CPK5ac or CPK11ac, were collected after 6 h expression. For flg22 treatment, untransfected protoplasts were incubated for 4 h before induction with 100 nM flg22 at 28°C for 30 and 60 min, and 8-day-old seedlings grown in liquid 0.5 × MS were induced with 2 nM flg22 for 30 and 60 min. Total RNA was extracted using RNeasy Plant Mini kit (Qiagen) according to the manufacturer’s protocol. Eight μg of total RNA were amplified, biotinylated and fragmented using the BioArray HighYield RNA transcript labelling kit (Enzo) according to the manufacturer’s instructions. Hybridization to Arabidopsis ATH1 GeneChip arrays (Affymetrix) and scanning were conducted by the microarray facility of Harvard-Partners Center for Genetics and Genomics (Boston, USA). Data were pre-processed in GCOS 1.2 (Affymetrix GeneChip Operating Software) as well as being imported into FlexArray and processed with MAS5.0 (Affymetrix), dChip (www.dchip.org), and RMA (Bioconductor-R, http://www.bioconductor.org/) algorithms. Gene level variability across duplicate and triplicate arrays was then determined separately with Cyber-T, as well as SAM (Significance analysis of Microarrays) and t-test. Results of the different methods were compared based on the validated marker genes (Fig. 3, ,4a).4a). Details for microarray dataset sources, data analyses and identification of CDPK target genes (Supplementary Tables 2–5) are described in Supplementary Methods. The original GeneChip files will be available at Gene Expression Omnibus.

Virus-induced gene silencing

VIGS was performed as described24,36 using Arabidopsis WT, cpk5,6 and cpk5,6,11 mutants. The control VIGS construct using a GFP fragment has already been reported24. The CPK4 VIGS construct was generated using a gene specific 500-bp fragment. The mutant plants were identified by RT-PCR (Supplementary Table 13) and the VIGS experiments were repeated 4 times with similar results.

Oxidative burst measurement

The production of ROS was measured with a luminol-based assay37,38. Leaf disks from 4-week-old plants were floated on water overnight and transferred to assay tubes with 100 μl reaction buffer (20 μM luminol, 1 μg horseradish peroxidase, 100 nM flg22). Luminescence was measured every 3 min for 30 min using an LB 9507 luminometer (Berthold technologies). The experiments were repeated 4 times with similar results.

Supplementary Material


We thank K.H. Liu and E. Baena-González for contributing to the CPK clone collection, O.R. Patharkar for initial microarray data analysis, B. Mueller and G. Tena for offering quantitative PCR primers, M.N. Soler and S. Bolte for assistance on confocal microscopy, C. Laurière for helpful discussions, S.P. Dinesh-Kumar for VIGS vectors, K. Schreiber and D. Desveaux for the seedling pathogen assay, A. Gust and T. Nürnberger for the original PGN microarray data. We thank the Salk Institute, Syngenta Biotechnology and A. Sessions for sharing the Arabidopsis T-DNA collections, the Arabidopsis Biological Resource Center for providing Arabidopsis mutant seeds. This research has been supported by a Marie Curie International fellowship within the 6th European Community Framework Program to M.B., an NSF predoctoral fellowship to M.W., and grants from the National Science Foundation and the National Institute of Health, and the MGH CCIB fund to J.S.


Supplementary Information is linked to the online version of the paper at www.nature.com/nature.

Author Contributions J.S. and M.W. initiated the project, M.B., M.W. and J.S. designed the experiments, M.W., M.B. and S.H.C. built the CPK clone collection, M.B., M.W., H.L., L.S., P.H. and J.S. conducted the experiments and analyzed the data, M.M., J.S., and M.B. analyzed microarray data, J.B. managed plants, M.B., J.S. and M.M. prepared the manuscript with inputs from all co-authors.

Author Information All microarray data are available at the Gene Expression Array Omnibus website (http://www.ncbi.nlm.nih.gov/geo/) under accession number GSE16557. Reprints and permissions information is available at www.nature.com/reprints. The authors declare no competing financial interests. Correspondence and material requests should be addressed to M.B. (boudsocq/at/mgh.harvard.edu) and M.W. (willmann/at/sas.upenn.edu).


1. Nurnberger T, Brunner F, Kemmerling B, Piater L. Innate immunity in plants and animals: striking similarities and obvious differences. Immunol Rev. 2004;198:249–266. [PubMed]
2. Akira S, Uematsu S, Takeuchi O. Pathogen recognition and innate immunity. Cell. 2006;124:783–801. [PubMed]
3. Boller T, Felix G. A renaissance of elicitors: perception of microbe-associated molecular patterns and danger signals by pattern-recognition receptors. Annu Rev Plant Biol. 2009;60:379–406. [PubMed]
4. Asai T, et al. MAP kinase signalling cascade in Arabidopsis innate immunity. Nature. 2002;415:977–983. [PubMed]
5. Lecourieux D, Ranjeva R, Pugin A. Calcium in plant defence-signalling pathways. New Phytol. 2006;171:249–269. [PubMed]
6. Ma W, Berkowitz GA. The grateful dead: calcium and cell death in plant innate immunity. Cell Microbiol. 2007;9:2571–2585. [PubMed]
7. Kim MC, et al. Calmodulin interacts with MLO protein to regulate defence against mildew in barley. Nature. 2002;416:447–451. [PubMed]
8. Du L, et al. Ca2+/calmodulin regulates salicylic-acid-mediated plant immunity. Nature. 2009;457:1154–1158. [PubMed]
9. Lecourieux D, et al. Proteinaceous and oligosaccharidic elicitors induce different calcium signatures in the nucleus of tobacco cells. Cell Calcium. 2005;38:527–538. [PubMed]
10. Gust AA, et al. Bacteria-derived peptidoglycans constitute pathogen-associated molecular patterns triggering innate immunity in Arabidopsis. J Biol Chem. 2007;282:32338–32348. [PubMed]
11. Ma W, Smigel A, Tsai YC, Braam J, Berkowitz GA. Innate immunity signaling: cytosolic Ca2+ elevation is linked to downstream nitric oxide generation through the action of calmodulin or a calmodulin-like protein. Plant Physiol. 2008;148:818–828. [PMC free article] [PubMed]
12. Harper JF, Harmon A. Plants, symbiosis and parasites: a calcium signalling connection. Nat Rev Mol Cell Biol. 2005;6:555–66. [PubMed]
13. Boudsocq M, Sheen J. Stress signaling II: Calcium Sensing and Signaling. In: Pareek A, Sopory SK, Bohnert HJ, Govindjee, editors. Abiotic stress adaptation in plants: physiological, molecular and genomic foundation. Chapter 4. Springer; Dordrecht: 2009.
14. Luan S. The CBL-CIPK network in plant calcium signaling. Trends Plant Sci. 2009;14:37–42. [PubMed]
15. Cheng SH, Willmann MR, Chen HC, Sheen J. Calcium signaling through protein kinases. The Arabidopsis calcium-dependent protein kinase gene family. Plant Physiol. 2002;129:469–485. [PMC free article] [PubMed]
16. Romeis T, Piedras P, Jones JDG. Resistance gene-dependent activation of a calcium-dependent protein kinase in the plant defense response. Plant Cell. 2000;12:803–815. [PMC free article] [PubMed]
17. Romeis T, Ludwig AA, Martin R, Jones JDG. Calcium-dependent protein kinases play an essential role in a plant defence response. EMBO J. 2001;20:5556–5567. [PMC free article] [PubMed]
18. Kobayashi M, et al. Calcium-dependent protein kinases regulate the production of reactive oxygen species by potato NADPH oxidase. Plant Cell. 2007;19:1065–1080. [PMC free article] [PubMed]
19. Zipfel C, et al. Bacterial disease resistance in Arabidopsis through flagellin perception. Nature. 2004;428:764–767. [PubMed]
20. Shan L, et al. Bacterial effectors target the common signaling partner BAK1 to disrupt multiple MAMP receptor-signaling complexes and impede plant immunity. Cell Host Microbe. 2008;4:17–27. [PMC free article] [PubMed]
21. Zimmermann P, Hennig L, Gruissem W. Gene-expression analysis and network discovery using Genevestigator. Trends Plant Sci. 2005;10:407–409. [PubMed]
22. Sheen J. Ca2+-dependent protein kinases and stress signal transduction in plants. Science. 1996;274:1900–1902. [PubMed]
23. Uno Y, Rodriguez Milla MA, Maher E, Cushman JC. Identification of proteins that interact with catalytically active calcium-dependent protein kinases from Arabidopsis. Mol Genet Genomics. 2009;281:375–390. [PubMed]
24. Baena-Gonzalez E, Rolland F, Thevelein JM, Sheen J. A central integrator of transcription networks in plant stress and energy signalling. Nature. 2007;448:938–942. [PubMed]
25. Bednarek P, et al. A glucosinolate metabolism pathway in living plant cells mediates broad-spectrum antifungal defense. Science. 2009;323:101–106. [PubMed]
26. Clay NK, Adio AM, Denoux C, Jander G, Ausubel FM. Glucosinolate metabolites required for an Arabidopsis innate immune response. Science. 2009;323:95–101. [PMC free article] [PubMed]
27. Huffaker A, Ryan CA. Endogenous peptide defense signals in Arabidopsis differentially amplify signaling for the innate immune response. Proc Natl Acad Sci U S A. 2007;104:10732–10736. [PMC free article] [PubMed]
28. Nemhauser JL, Hong F, Chory J. Different plant hormones regulate similar processes through largely nonoverlapping transcriptional responses. Cell. 2006;126:467–475. [PubMed]
29. Zhu SY, et al. Two calcium-dependent protein kinases, CPK4 and CPK11, regulate abscisic acid signal transduction in Arabidopsis. Plant Cell. 2007;19:3019–3036. [PMC free article] [PubMed]
30. Sheen J, et al. Signaling specificity and complexity of MAPK cascades in plant innate immunity. Biology of plant microbe interactions; IS-MPMI Symposium Proceedings; Sorrento, Italy. 2008. p. 6.
31. Alonso JM, Stepanova AN. T-DNA mutagenesis in Arabidopsis. Methods Mol Biol. 2003;236:177–188. [PubMed]
32. He P, et al. Specific bacterial suppressors of MAMP signaling upstream of MAPKKK in Arabidopsis innate immunity. Cell. 2006;125:563–575. [PubMed]
33. Schreiber K, Ckurshumova W, Peek J, Desveaux D. A high-throughput chemical screen for resistance to Pseudomonas syringae in Arabidopsis. Plant J. 2008;54:522–531. [PubMed]
34. Yoo SD, Cho YH, Sheen J. Arabidopsis mesophyll protoplasts: a versatile cell system for transient gene expression analysis. Nat Protoc. 2007;2:1565–1572. [PubMed]
35. Boudsocq M, Barbier-Brygoo H, Laurière C. Identification of nine sucrose nonfermenting 1-related protein kinases 2 activated by hyperosmotic and saline stresses in Arabidopsis thaliana. J Biol Chem. 2004;279:41758–66. [PubMed]
36. Burch-Smith TM, Schiff M, Liu Y, Dinesh-Kumar SP. Efficient virus-induced gene silencing in Arabidopsis. Plant Physiol. 2006;142:21–27. [PMC free article] [PubMed]
37. Felix G, Duran JD, Volko S, Boller T. Plants have a sensitive perception system for the most conserved domain of bacterial flagellin. Plant J. 1999;18:265–276. [PubMed]
38. Chinchilla D, et al. A flagellin-induced complex of the receptor FLS2 and BAK1 initiates plant defence. Nature. 2007;448:497–500. [PubMed]


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