Mechanosensory trichome cells evoke a mechanical stimuli–induced immune response in Arabidopsis thaliana

Matsumura, Mamoru; Nomoto, Mika; Itaya, Tomotaka; Aratani, Yuri; Iwamoto, Mizuki; Matsuura, Takakazu; Hayashi, Yuki; Mori, Tsuyoshi; Skelly, Michael J.; Yamamoto, Yoshiharu Y.; Kinoshita, Toshinori; Mori, Izumi C.; Suzuki, Takamasa; Betsuyaku, Shigeyuki; Spoel, Steven H.; Toyota, Masatsugu; Tada, Yasuomi

doi:10.1038/s41467-022-28813-8

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Published: 08 March 2022

Mechanosensory trichome cells evoke a mechanical stimuli–induced immune response in Arabidopsis thaliana

Nature Communications volume 13, Article number: 1216 (2022) Cite this article

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Abstract

Perception of pathogen-derived ligands by corresponding host receptors is a pivotal strategy in eukaryotic innate immunity. In plants, this is complemented by circadian anticipation of infection timing, promoting basal resistance even in the absence of pathogen threat. Here, we report that trichomes, hair-like structures on the epidermis, directly sense external mechanical forces, including raindrops, to anticipate pathogen infections in Arabidopsis thaliana. Exposure of leaf surfaces to mechanical stimuli initiates the concentric propagation of intercellular calcium waves away from trichomes to induce defence-related genes. Propagating calcium waves enable effective immunity against pathogenic microbes through the CALMODULIN-BINDING TRANSCRIPTION ACTIVATOR 3 (CAMTA3) and mitogen-activated protein kinases. We propose an early layer of plant immunity in which trichomes function as mechanosensory cells that detect potential risks.

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Introduction

Innate immunity is an evolutionarily conserved front line of defense across the plant and animal kingdoms. In plants, pattern-recognition receptors (PRRs), such as leucine-rich repeat receptor-like kinases (LRR-RLKs) and LRR receptor proteins (LRR-RPs), specifically recognize microbe-associated molecular patterns (MAMPs) as non-self molecules, leading to the activation of pattern-triggered immunity (PTI) to limit pathogen proliferation^1,2. While adapted pathogens have evolved virulence effectors that can circumvent PTI, plants also deploy disease resistance (R) genes, primarily encoding nucleotide-binding LRR proteins, which mount effector-triggered immunity (ETI)^3,4,5. ETI often culminates in a hypersensitive response as well as acute and localized cell death at the site of infection accompanied by profound transcriptional changes of defense-related genes to retard pathogen growth^4,5. These ligand–receptor systems are largely dependent on a transient increase in intracellular calcium concentration ([Ca²⁺]_i), followed by the initiation of phosphorylation-dependent signaling cascades, including mitogen-activated protein kinases (MAPKs) and calcium-dependent protein kinases, that orchestrate a complex transcriptional network and the activity of immune mediators^6,7.

In addition to PTI and ETI, plant immunity can be induced periodically in the absence of pathogen threat, a process controlled by the circadian clock and driven by daily oscillations in humidity as well as light–dark cycles^8,9,10. Such responses enable plants to prepare for the potential increased risk of infection at the time when microbes are anticipated to be most infectious. The anticipation of potentially pathogenic microorganisms through sensing climatological changes and their specific detection thus constitute two distinct layers of the plant immune system.

Among the climatological factors that affect the outcome of plant–microbe interactions, rain is a major cause of devastating plant diseases, as fungal spores and bacteria are spread through rain-dispersed aerosols or ballistic particles splashed from neighboring infected plants. Natural raindrops contain bacteria at a concentration of 1.06 × 10⁴ (/cm³)¹¹, including plant pathogens such as Pseudomonas syringae¹², Xanthomonas campestris, and Pantoea ananatis¹³. Likewise, raindrops contain fungi such as Alternaria sp., Fusarium sp., Cladosporium sp., Phoma sp., Rhizopus sp., and Botrytis cinerea¹⁴. In addition, raindrops negatively regulate stomatal closure, which facilitates pathogen entry into leaf tissues^13,15,16. High humidity, which is usually associated with rain, enhances the effects of bacterial pathogen effectors, such as HopM1, and establishes an aqueous apoplast for aggressive host colonization¹⁷. These findings suggest that it would be beneficial for plants to recognize rain as an early risk factor for infectious diseases.

How do plants respond to rain? Rain-simulating water spray induces the expression of mechanosensitive TOUCH (TCH) genes as bending stimulation, which induces plant growth retardation¹⁸. Mechanostimulation affects a variety of plant physiological processes mediated by phytohormones such as auxin, ethylene, and gibberellin^19,20,21,22. Arabidopsis thaliana seedlings exposed to rain-simulating water spray accumulate the immune phytohormone jasmonic acid (JA) to promote the expression of JA-responsive genes²³. Thus, rain modulates both mechanotransduction and hormone-signaling pathways that could affect the growth and development of plants as well as environmental responses. However, the regulatory mechanisms underpinning the rain-activated signaling pathway have not been fully elucidated.

Here, we report an early layer of the plant immune system evoked by sensing mechanostimulation on the leaf surface: trichomes, hair-like cells, function as mechanosensory cells that mount an effective immune response against both biotrophic and necrotrophic pathogens. When trichomes are mechanically stimulated, intercellular calcium waves are concentrically propagated away from them, MAPKs are activated, and the calcium- and calmodulin-binding transcription activator (CAMTA)-regulated immune response is initiated. We propose that plants directly recognize rain as a risk factor and evoke a rapid immune response that substantially contributes to early detection of, and protection from, potential pathogens.

Results and discussion

Rain and mechanical stimuli induce mechanosensitive genes involved in plant immunity

To investigate the effect of rain on transcriptional changes in Arabidopsis leaves, we performed transcriptome deep sequencing (RNA-seq) of wild-type Columbia (Col-0) Arabidopsis treated with artificial raindrops (Supplementary Fig. 1a; Methods). After applying only 10 falling droplets, we detected the marked induction of 1050 genes 15 min after treatment [3 biological replicates, log₂ fold changes (log₂FC) ≥ 1, likelihood ratio test; P < 0.05] (Supplementary Data 1). Gene Ontology (GO) analysis of these genes revealed a striking enrichment in categories associated with plant immunity, as evidenced by the expression of major immune regulators, including WRKY DNA-binding protein (WRKY) genes, calmodulin-binding protein 60-like g (CBP60g), MYB domain protein (MYB) genes, ethylene response factor (ERF) genes, and MAP kinase (MPK) genes^24,25 (Fig. 1a and Supplementary Data 1, 2). The touch-induced genes TCH2 and TCH4 were also highly upregulated in response to one falling raindrop (falling) compared to a water droplet placed directly on the leaf surface (static) (Supplementary Fig. 1b). These results suggested that mechanosensation is involved in altering transcriptional activity.

**Fig. 1: Raindrop- and mechanical stimuli (MS)-induced transcriptome profiles highly correlate with each other.**

To validate this hypothesis, we mechanically stimulated rosette leaves by gently brushing them 1–10 times along the main veins with a small paintbrush (Supplementary Fig. 1c; Methods) and analyzed the expression profile of the immune regulator WRKY33, which was responsive to raindrops. WRKY33 expression was maximally induced 15 min after brushing the leaves one to four times (Supplementary Fig. 1d). Next, we compared gene expression patterns between leaves that were brushed once and those that received 10 falling raindrops. Both raindrops and brushing strongly upregulated TCH2, TCH4, WRKY33, WRKY40, WRKY53, CBP60g, MYB51, ERF1, and jasmonate-ZIM-domain protein 1 (JAZ1) expression^18,24,25 (Fig. 1b, c), suggesting that raindrops are likely recognized as a mechanical stimulus. This idea was supported by the result that natural rainfall-induced the expression of TCH4 and WRKY33 in Col-0 leaves (Supplementary Fig. 1e).

To comprehensively identify mechanosensitive genes, we performed RNA-seq analysis of leaves brushed once. We identified 1241 genes that were significantly induced 15 min after this treatment relative to control plants (3 biological replicates, log₂FC ≥ 1, likelihood ratio test; P < 0.05) (Supplementary Data 3). These mechanical stimuli (MS)-induced genes were primarily categorized as plant immune responses, such as response to chitin, defense response, and immune system response (Fig. 1d and Supplementary Data 4). We found that 87.3% of raindrop-induced genes and 73.9% of MS-induced genes overlapped (Fig. 1e): this set of 917 genes expressed upon both treatments were enriched for GO categories associated with stress responses (Supplementary Fig. 2). Furthermore, the expression levels of these 917 genes, including major immune regulators, were positively correlated between the two treatments (Pearson correlation coefficient r = 0.917) (Fig. 1f). In addition, we observed clear correlations between our profiles and previously published datasets obtained by water spray²³, bending²⁶, brushing²⁷, and cotton swabbing treatments²⁸ (Supplementary Fig. 3 and Supplementary Data 11). Strong correlations observed in Fig. 1f are consistent with the fact that 10 falling droplets applied the same level of the force intensity as brushing the leaf surface once (Supplementary Fig. 4). Taken together, these transcriptome analyses indicated that falling raindrops stimulate the expression of mechanosensitive genes involved in environmental stress responses, including plant immunity.

Rain and MS rapidly activate plant immune responses

To further characterize raindrop-induced genes, we conducted a comparative analysis with published transcriptome datasets. Many raindrop- and MS-induced genes were also expressed during major plant immune responses, such as those triggered by the immune phytohormones salicylic acid (SA), which is effective against biotrophic pathogens (21%; 193/917 genes), and JA, which mounts immune responses to necrotrophic pathogens (11.8%; 108/917 genes); the bacterial-derived peptide flg22, which activates PTI (37%; 339/917 genes); and the bacterial pathogen P. syringae pathovar maculicola ES4326 (Psm ES4326) (25.8%; 237/917 genes)^{1,2,29,30,31,32,33} (Fig. 2a, b). In total, 58.6% (537/917 genes) of raindrop- and MS-induced genes overlapped with those induced in response to different immune elicitors, suggesting that raindrops activate mechanosensitive immune responses.

**Fig. 2: Raindrop- and MS-induced mechanosensation triggers defense responses.**

Since stress-responsive gene expression is either positively or negatively regulated by phytohormones, we determined the changes in the accumulation levels of six phytohormones [SA, JA, JA-isoleucine (JA-Ile), abscisic acid (ABA), gibberellic acid 4 (GA₄), and indole-3-acetic acid (IAA)] in leaves treated with 10 falling droplets and in those brushed once. No significant changes in the levels of the phytohormones were observed 5 min and 15 min after treatment (Fig. 2c and Supplementary Fig. 5). However, the slight increase in JA and JA-Ile could explain the observation that 11.8% of raindrop- and MS-induced genes are JA-responsive (Fig. 2a) as previously confirmed by Van Moerkercke et al.²³. Although 21% of raindrop- and MS-induced genes overlap with SA-responsive genes (Fig. 2a), SA levels were not significantly increased in response to raindrops and MS (Fig. 2c). Mechanosensitive genes such as TCH2, TCH4, WRKY33, WRKY40, CBP60g, MYB51, ERF1, and JAZ1, whose expression was induced 15 min after treatment with MS and raindrops, are presumably regulated independently of phytohormonal responses, as the expression of these genes was not compromised in mutants of the JA-responsive transcription activators, MYC2, MYC3, and MYC4, and the JA-insensitive jai3-1 (JASMONATE-INSENSITIVE 3) (Supplementary Fig. 6). A previous report demonstrated that GA accumulation is reduced by “bending” leaves twice per day for 2 weeks²². Here, significant changes in GA levels were not detected upon transient application of raindrops or MS (Supplementary Fig. 5). Therefore, mechanotransduction may branch into phytohormone-dependent and -independent pathways, which are differentially activated by MS depending on their type, intensity, and duration and on which organs perceive the stimulation.

Activation of MAPKs is one of the earliest cellular events and a hallmark of plant immune responses. In particular, PRRs promptly activate a phosphorylation cascade involving MPK3 and MPK6 in response to MAMPs, whereby the downstream immune components of PTI are phosphorylated to promote transcriptional reprogramming^1,6,7,34. Because 37% of raindrop- and MS-induced genes were also upregulated by flg22 treatment (Fig. 2a), we examined whether a MAPK cascade is activated in responses to raindrops and MS by immunoblot analysis with the anti-p44/42 antibody, which detects phosphorylated MPK3/MPK6^35,36. A previous study found that MPK4/MPK6 phosphorylation was induced by bending^28,37. Upon treatment of rosette leaves with four falling raindrops or MS (four brushing), phosphorylation of MPK3/MPK6 was induced within 3 min and remained high for 10 min after each treatment (Fig. 2d, e), indicating that MPK3/MPK6 activation precedes the expression of mechanosensitive genes detected 10 min after MS application (Supplementary Fig. 1d). The kinetics of MS-activated MPK3/MPK6 were reminiscent of those observed upon activation of the PRR protein FLAGELLIN-SENSITIVE 2 (FLS2) and its coreceptor BRI1-associated receptor kinase 1 (BAK1), which are responsible for recognition of the bacterial flg22 epitope^1,34. Wild-type, fls2, and bak1 mutant plants displayed comparable levels of phosphorylated MPK3/MPK6 in response to MS (Fig. 2f), however, suggesting that FLS2 and BAK1 are not positively involved in raindrop-elicited mechanotransduction.

We then performed a comparative analysis of raindrop- and MS-induced genes against published transcriptome datasets describing the specific and conditional activation of MPK3/MPK6 in transgenic Arabidopsis plants carrying a constitutively active variant of tobacco (Nicotiana tabacum) MAP KINASE Cab 2 (NtMEK2) under the control of the dexamethasone-inducible promoter³⁶. Approximately, 23.9% (328/1374 genes) of both raindrop- and MS-induced genes were upregulated by MPK3/MPK6³⁶ (Supplementary Fig. 7a and Supplementary Data 5), and these upregulated genes were highly enriched in categories associated with plant immunity (Supplementary Fig. 7b and Supplementary Data 6), suggesting that MAPKs play a critical role in mechanotransduction.

Rain and MS confer resistance to both biotrophic and necrotrophic pathogens

We then investigated whether raindrops and MS confer resistance to pathogenic microbes. Raindrops containing the spores of the necrotrophic pathogen Alternaria brassicicola Ryo-1 were placed on fully expanded leaves after pretreatment with raindrops or MS for 3 h at an interval of 15 min. Both stimuli significantly suppressed lesion development compared to control plants without pretreatment (Fig. 2g, h). Pretreatment of leaves with MS for 3 h also efficiently protected plants from infection with the biotrophic pathogen Psm ES4326 (Fig. 2i). These results confirmed that mechanostimulation induces a PTI-like response to confer a broad spectrum of resistance to both biotrophic and necrotrophic pathogens, as MS activates immune MAPKs and upregulates a large subset of flg22-induced genes. In support of this argument, exposure to the fungal cell wall, chitin, also upregulated 42.1% (386/917 genes) of raindrop-induced genes (Supplementary Fig. 7c).

Mechanosensitive genes are regulated by calmodulin-binding transcription activator 3

To dissect rain-induced mechanotransduction, we searched for a conserved cis-regulatory element in the promoter sequences of mechanosensitive genes. From an unbiased promoter analysis of the top 300 genes among 917 differentially expressed genes, we obtained the highest enrichment for the CGCG box (CGCGT or CGTGT), which is recognized by CAMTAs that are conserved from plants to mammals^{38,39,40,41,42} (Fig. 3a). A similar motif analysis that detects the CAMTA-binding sites among the brushing-induced gene promoters was reported²⁷. The Arabidopsis transcription factor CAMTA3 [also named signal responsive 1 (SR1)] is a negative regulator of plant immunity; camta3 null mutants exhibit constitutive expression of defense-related genes and enhanced resistance to virulent P. syringae infection^43,44. CAMTA transcription factors possess a CaM-binding domain and an IQ domain to which CaM binds in a calcium-dependent manner to negate their function (Supplementary Fig. 8a). CAMTA3^A855V transgenic plants, which possess a mutation in the IQ domain, suppress the constitutive expression of defense-related genes seen in the camta2 camta3 double mutant and are no longer regulated by calcium-mediated responses^45,46. In agreement with our promoter analysis, 28.7% of constitutively upregulated genes (309/1075 genes) in the camta1 camta2 camta3 triple mutant overlapped with raindrop- and MS-induced genes detected in wild-type plants⁴⁷ (Supplementary Fig. 8b and Supplementary Data 7). Upon application of raindrops and MS, WRKY33 and CBP60g transcript levels were significantly reduced in plants expressing the CAMTA3^A855V variant compared to a CAMTA3-GFP transgenic line expressing a transgene that complemented the phenotype of the camta2 camta3 mutant (Fig. 3b, c), suggesting that CAMTA3 is involved in mechanotransduction.

**Fig. 3: MS-induced genes are regulated by CAMTA3.**

To confirm whether CAMTA3 directly targets mechanosensitive genes, we investigated the genome-wide distribution of CAMTA3-binding sites by chromatin immunoprecipitation followed by deep sequencing (ChIP-seq) using CAMTA3^A855V-GFP plants, as the mutant protein stably represses the transcription of CAMTA3-regulated genes. With the aid of model-based analysis of ChIP-seq (MACS2) software, we identified 2641 and 2728 CAMTA3-binding genes, respectively, in two replicates (binomial distribution; P < 0.05); about 40% of these peaks are located in the promoter regions and another 30% in gene bodies (Supplementary Fig. 8c and Supplementary Data 8). The overlap between the two replicates highlighted 2011 CAMTA3-targeted genes that included 272 raindrop- and 297 MS-induced genes such as TCH2, TCH4, and CBP60g (Fig. 3d), consistent with our hypothesis that CAMTA3 regulates the transcription of mechanosensitive genes.

To validate the results from the promoter analysis of mechanosensitive genes, we next investigated specific DNA sequences to which CAMTA3 selectively binds by analyzing CAMTA3-binding peaks by Multiple EM for Motif Elicitation (MEME)-ChIP (Methods). We again identified the CGCG box (CGCGT or CGTGT) as the motif with the highest enrichment score (3.4 × 10⁻⁴⁴) (Fig. 3e). Subsequent visualization of ChIP-seq profiles via the Integrative Genomics Viewer (IGV)⁴⁸ demonstrated that CAMTA3 is primarily enriched at the CGCG boxes of mechanosensitive genes, including TCH2, TCH4, CAM2, CBP60g, calmodulin-like 23 (CML23), and WRKY40 (Fig. 3f). GO analysis on 314 CAMTA-targeted genes (Fig. 3d, shown in red) to define the biological functions of these genes showed significant enrichment in categories related to immune and environmental responses (Supplementary Fig. 8d, e). We thus investigated whether CAMTA3 is required for the immune responses. camta2 camta3 CAMTA3-GFP transgenic plants effectively mounted an enhanced disease resistance against P. syringae in response to MS, while camta2 camta3 CAMTA3^A855V-GFP plants were significantly compromised in resistance (Fig. 3g). These results demonstrate that CAMTA3 negatively regulates plant immune responses by binding to the CGCG box in raindrop- and MS-induced gene promoters and represses the expression of these genes.

Since mechanostimulation rapidly activates MPK3/MPK6 (Fig. 2d, e), we investigated whether CAMTA3 mediates the activation of these MPKs. Using camta2 camta3 CAMTA3-GFP and camta2 camta3 CAMTA3^A855V-GFP, we detected the phosphorylation of MPK3/MPK6 independently of CAMTA3 activity (Supplementary Fig. 8f). In addition, the calcium ionophore A23187 clearly induced the phosphorylation of MPK3 and MPK6 (Supplementary Fig. 8g). These results suggested that the mechanotransduction initiated by raindrops and MS may cause a Ca²⁺ influx that negates the repressive effect of CAMTA3 and independently activates the MAPK cascade, as previously proposed³⁴.

MS initiates intercellular calcium waves concentrically away from trichomes

To visualize how mechanostimulation induces the expression of immune genes in planta, we generated Arabidopsis transgenic lines with the promoter sequences of WRKY33 and CBP60g driving the expression of nucleus-targeted enhanced yellow fluorescent protein (YFP-NLS) (WRKY33pro:EYFP-NLS and CBP60gpro:EYFP-NLS). WRKY33 expression is regulated by both MPK3/MPK6 and CAMTA3, while CBP60g is not mediated by MPK3/MPK6 (Supplementary Data 5). When half leaves were gently brushed (Supplementary Fig. 1c), we detected YFP fluorescence in the WRKY33pro:EYFP-NLS and CBP60gpro:EYFP-NLS transgenic lines as localized, clustered groups of cells only in the brushed half (Fig. 4a and Supplementary Fig. 9a). Closer inspection of the stimulated regions revealed that both genes were induced in cells surrounding trichomes, hair-like structures projecting outward from the epidermal surface (Fig. 4b, c and Supplementary Fig. 9b, c).

**Fig. 4: Trichomes initiate intercellular calcium waves.**

Trichomes function as chemical and physical barriers against insect feeding and are likely involved in drought tolerance and protection against ultraviolet irradiation^49,50. Mechanostimulation of a single trichome induces Ca²⁺ oscillations within the proximal skirt cells that surround the base of trichomes⁵¹, suggesting that the mechanical force could be focused on only skirt cells (Supplementary Fig. 10). However, since mechanostimulation by raindrops and MS confers resistance to pathogens in whole leaves, we hypothesized that trichomes activate a Ca²⁺ signal in a large area of leaves, as shown in Fig. 4a.

To visualize changes in cytosolic Ca²⁺ concentrations ([Ca²⁺]_cyt) induced by MS on the leaf surface, we used transgenic Arabidopsis expressing the GFP-based [Ca²⁺]_cyt indicator GCaMP3^52,53. Leaf brushing induced a marked increase of [Ca²⁺]_cyt in the surrounding leaf area of trichomes 1 min after stimulation (Fig. 4d and Supplementary Movie 1). Flicking a single trichome with a silver chloride wire triggered an intercellular calcium wave that propagated concentrically away from the trichome and surrounding skirt cells at a speed of 1.0 μm/s (Fig. 4e, f and Supplementary Movie 2). This pattern showed striking consistency with the area of induction observed with the WRKY33pro:EYFP-NLS and CBP60gpro:EYFP-NLS reporters (Fig. 4a, b and Supplementary Fig. 9a, b). The base of trichomes exhibited a rapid and transient increase in [Ca²⁺]_cyt before the concentric propagation of calcium waves was initiated (Fig. 4g and Supplementary Movie 3).

Trichomes are mechanosensory cells activating plant immunity

To investigate the possible involvement of trichomes in mechanosensation in Arabidopsis leaves and activation of the immune response, we observed calcium waves using the knockout mutant of glabrous 1 (GL1)⁵⁴, which lacks trichomes. The gl1 mutant exhibits effective basal resistance comparable to that of wild-type Col-0 plants^54,55, and its local resistance to Psm ES4326 and A. brassicicola Ryo-1 is similar to that of Col-0 plants (Supplementary Fig. 11). However, the trichome-defective gl1, gl3 (glabrous 3), and ttg1 (transparent testa glabra 1) mutants lost cuticle and systemic acquired resistance (SAR)⁵⁵, a secondary immune response in uninfected distal tissues after primary infection in a local site, while basal levels of immunity were not dramatically affected⁵⁵ (Fig. 5 and Supplementary Fig. 11). The lack of SAR in these trichome mutants is associated with impairment of cuticle formation but not of trichomes. cer1-1 (eceriferum 1) and cer3-1 (WAX 2/eceriferum 3) mutants, which have defects in synthesizing cuticular wax but form normal trichomes, fail to induce SAR⁵⁶. Therefore, the immunodeficient phenotype of gl and ttg mutants is due to disordered cuticle formation. To investigate whether trichome-mediated immunity is compromised in cer1 and cer3 mutants as in gl1, we performed the pathogen test using A. brassicicola Ryo-1 after mechanical stimulation of these mutants (Supplementary Fig. 12). Pretreatment with brushing significantly suppressed lesion development. These data strongly indicate that the lack of trichome, but not cuticle, in gl mutants is responsible for failed MS-induced immunity. The mechanostimulation-induced propagation of concentric calcium waves was compromised in the gl1 mutant (Fig. 5a, b and Supplementary Fig. 13), confirming that trichomes are true MS sensors and initiate calcium waves (Supplementary Movies 4 and 5). Furthermore, approximately 70.5% of mechanosensitive genes were expressed in a trichome-dependent manner (3 biological replicates, log₂FC ≥ 1, likelihood ratio test; P < 0.05) (Fig. 5c, Supplementary Fig. 14a and Supplementary Data 9), and transcript levels of 18 representative mechanosensitive immune genes were markedly lower at all time points in the gl1 mutant than they were in the wild type in RNA-seq analysis of leaves brushed four times (Fig. 5d), suggesting that trichomes serve as a sensor of this type of MS on the leaf surface. Similarly, compared to wild-type plants, the transcription of MS- and raindrop-induced WRKY33, WRKY40, and CBP60g, as well as the activation of MPK3/MPK6 by MS, was also significantly reduced in the gl1 mutant (Fig. 5e, f and Supplementary Fig. 14b). Moreover, MS-induced resistance against Psm ES4326 infection was abrogated in the gl1 mutant (Fig. 5g). As with Psm ES4326, the application of MS to wild-type plants prior to inoculation with A. brassicicola significantly limited lesion development, whereas the gl1 mutant did not show enhanced disease resistance in response to MS (Fig. 5h). Mechanically stimulating leaves by bending them back and forth 10 times induces JA-dependent resistance to B. cinerea in both Col-0 and gl1 mutant⁵⁷, suggesting that bending directly stimulates cells inside the leaf.

**Fig. 5: Trichomes are mechanosensory cells.**

Our work highlights an early layer of plant immunity that is triggered by an unexpected function of trichomes as mechanosensory cells. When trichomes are mechanically stimulated, intercellular calcium waves are concentrically propagated away from the trichomes, followed by the activation of CAMTA3-dependent immune responses (Fig. 6). Rapid phosphorylation of MAPKs also is a prerequisite for mechanosensitive gene expression²⁸, as MPK3/MPK6 mediate the phosphorylation of mechanosensitive WRKY33 for its activation^58,59. This notion is supported by the finding that the expression of 252 of 917 raindrop- and MS-induced genes are mediated by MPK3/MPK6 (Supplementary Fig. 7a), and their promoter sequences possess the W-box (TTGACC) for WRKYs as the most enriched cis-regulatory elements (Supplementary Fig. 15). The molecular mechanism by which calcium mediates the activation of MPK3/MPK6 has yet to be elucidated.

**Fig. 6: Mechanosensory trichomes evoke an immune response.**

Mechanostimulation by repeatedly bending leaves confers resistance to the necrotrophic pathogen B. cinerea via JA accumulation⁵⁷. In addition, a subset of JA-responsive genes upregulated by water spray is mediated by MYC2/MYC3/MYC4 transcription factors²³. These observations strongly indicate that mechanosensation causes profound JA-dependent changes in gene transcription, promoting plant immune responses to necrotrophic pathogens. The JA- and MYC-dependent pathway does not play a major role in the expression of mechanosensitive TCH genes, however, indicating that mechanotransduction is regulated by other signaling pathways. In addition, we investigated the requirement for MS-induced immunity in the defense mutants fls2, bak1-3, npr1-3 (nonexpresser of PR genes 1), and myc234, and found that FLS2 and NPR1 could be involved in the signaling pathway (Supplementary Fig. 16). Our work demonstrated that raindrops and MS only partially activate the JA signal but rather strongly induce a PTI-like response via the Ca²⁺- and CAMTA3-dependent pathway, which is highly effective against both necrotrophs and biotrophs (Fig. 2g–i). Because rain disseminates diverse pathogens with different parasitic strategies, including fungi, bacteria, and viruses^60,61, it is reasonable that plants perceive raindrops as a risk factor and activate broad-spectrum resistance.

Plants possess mechanosensory cells with a variety of functions, such as flower antennas of Catasetum species for pollination, tentacles of Drosera rotundifolia for insect trapping, root hairs of Arabidopsis for water tracking, and red cells of Mimosa pudica for evading herbivores⁶². The carnivorous Venus flytrap (Dionaea muscipula) captures insects by sensing mechanostimulation via sensory hairs on leaf lobes⁶³. To monitor diverse MS applied to plants, several sensing mechanisms have been proposed that include detection of cell wall components, distortion of the plasma membrane, and displacement of the plasma membrane against the cell wall⁶⁴. In all these systems, a transient increase in [Ca²⁺]_cyt is thought to play a pivotal role in short- and long-term responses. Two successive stimulations of sensory hairs of the flytrap are required to meet the threshold of [Ca²⁺]_cyt for rapid closure of the leaf blade^63,65. As the trichome on the leaf surface is widely found in many land plants, there may be a common intercellular network of cell–cell communication that initiates calcium waves for activating immune responses.

Methods

Plants

A. thaliana accession Columbia-0 (Col-0) was the background for all plants used in this study. WRKY33pro:EYFP-NLS (Col-0) and CBP60gpro:EYFP-NLS (Col-0) were generated as described in the subsection “Promoter-reporter imaging”⁶⁶. 35Spro:GCaMP3 (Col-0)⁵³, camta2 camta3 CAMTA3pro:CAMTA3-GFP, and camta2 camta3 CAMTA3pro:CAMTA3^A855V-GFP were provided from Michael F. Thomashow (Michigan State University)^45,47. gl1 [Col(gl1)] was obtained from Lehle Seeds (TX, USA) and was previously designated as gl-1 mutant. The Arabidopsis mutants fls2 (SALK_093905) and bak1-3 (SALK_034523) were obtained from the Arabidopsis Biological Resource Center (ABRC). 35Spro:GCaMP3 was introduced into the gl1 mutant background by crossing. The selection of homozygous lines was performed by genotyping using primers listed in Supplementary Data 10. Plants were grown on soil (peat moss; Super Mix A and vermiculite mixed 1:1) at 22 °C under diurnal conditions (16-h-light/8-h-dark cycles) with 50–70% relative humidity. WRKY33pro:EYFP-NLS (Col-0) and CBP60gpro:EYFP-NLS (Col-0) were sown on soil and grown in a growth room at 23 °C in constant light⁶⁶. 35Spro:GCaMP3 (Col-0) and 35Spro:GCaMP3 (gl1) were grown on Murashige and Skoog (MS) plates [1× MS salts, 1% (w/v) sucrose, 0.01% (w/v) myoinositol, 0.05% (w/v) MES, and 0.5% (w/v) gellan gum, pH 5.8]^53,67.

Artificial raindrop treatment

Reverse osmosis water was kept in a 500 mL beaker until the water temperature reached room temperature (22 °C). A transfusion set (NIPRO Infusion Set TI-U250P, Nipro, Osaka, Japan) was installed on a steel stand with the beaker at a height of 1.2 m (H-type Stand I3, As One, Osaka, Japan) and was adjusted to release 13 µL water droplets (Supplementary Fig. 1a). In this setting, the applied mechanical energy to the leaf surface is equivalent to one in which 5.8 µL of raindrops reach a terminal velocity of 6.96 m/s⁶⁸. This size raindrop is frequently observed in nature; thus, the impact of simulated rain is comparable with that of true rain⁶⁸. The adaxial side of leaves from 4-week-old plants was treated with 10 droplets for RNA-seq and 1, 4, or 10 droplets for quantitative RT-PCR (RT-qPCR). The adaxial side of leaves from 4-week-old plants was treated with 1 falling or static droplet (Supplementary Fig. 1b). Sample leaves were collected 15 min after treatment and stored at −80 °C until use.

Brush treatment

The adaxial side of leaves from 4-week-old plants was brushed once or 4 times for RNA-seq and RT-qPCR along the main veins at an angle of 30–40° (KOWA nero nylon drawing pen flat 12, Kowa, Aichi, Japan) (Supplementary Fig. 1c). Sample leaves were collected 15, 30, and 60 min after treatment for RNA-seq and 15 min after treatment for RT-qPCR and stored at −80 °C until use.

RNA-seq library construction

Total RNA was extracted from 80 to 100 mg frozen samples using Sepasol-RNA I Super G (Nacalai Tesque, Kyoto, Japan) and the TURBO DNase free kit (Thermo Fisher Scientific, IL, USA) according to the manufacturer’s protocols. Total RNA was further purified with the RNeasy RNA Isolation Kit (QIAGEN, Hilden, Germany) and assessed for quality and quantity with a Nanodrop 2000 spectrophotometer (Thermo Fisher Scientific). We used 1 µg total RNA for mRNA purification with NEBNext Oligo d(T)₂₅ (NEBNext poly(A) mRNA Magnetic Isolation Module; New England Biolabs, MA, USA), followed by first-strand cDNA synthesis with the NEBNext Ultra II RNA Library Prep Kit for Illumina (New England Biolabs) and NEBNext Multiplex Oligo for Illumina (New England Biolabs) according to the manufacturer’s protocols. For the analysis of raindrop- and MS-induced gene expression, the amount of cDNA was determined on an Agilent 4150 TapeStation System (Agilent, CA, USA). cDNA libraries were sequenced as single-end reads for 81 nucleotides on an Illumina NextSeq 550 (Illumina, CA, USA). The reads were mapped to the Arabidopsis thaliana reference genome (TAIR10, http://www.arabidopsis.org/) on the web (BaseSpace, Illumina, https://basespace.illumina.com/). Pairwise comparisons between samples were performed with the EdgeR⁶⁹ package on the web (Degust, https://degust.erc.monash.edu/).

For the comparative analysis of differentially expressed genes between leaves in the gl1 mutant and Col-0, the amount of cDNA was determined by the QuantiFluor dsDNA System (Promega, WI, USA). cDNA libraries were sequenced as single-end reads for 36 nucleotides on an Illumina NextSeq 500 (Illumina). The reads were mapped to the A. thaliana reference genome (TAIR10) via Bowtie2⁷⁰ with the options “--all --best --strata”. Pairwise comparisons between samples were performed with the EdgeR package in the R program⁶⁹. Enrichment of GO categories for biological processes was determined using BiNGO (http://www.psb.ugent.be/cbd/papers/BiNGO/Home.html) (one-sided hypergeometric test; P < 0.05)⁷¹. Pearson correlation coefficient of the expression levels between two transcriptome profiles was calculated with Excel function (PEARSON function) (r = 0–0.2: no correlation, r = 0.2–0.4: weak correlation, r = 0.4–0.7: slightly correlated, r = 0.7–1.0: correlated).

Quantification of the force density

The abaxial side of leaves from 4-week-old plants was physically attached to the measuring pan of the electronic balance QUINTIX224-1S (Sartorius Lab Instruments GmbH & Co., Göttingen, Germany) with surgical tape (3 M Company, MN, USA). The adaxial side of the leaf was treated with 1 falling droplet or brushed once (shown in the above subsections). The peak weight applied to the leaf surface was obtained as the force. The force per unit area (N/m²) is converted from the peak weight (kg) and the contact area of the brush tip (5.6 × 10⁻⁵ m²) or raindrop (9.73 × 10⁻⁶ m²).

Re-analysis of immune-related transcriptome datasets

We used the following public transcriptome datasets for comparative analysis with the RNA-seq data obtained in this study: 10-day-old Arabidopsis seedlings treated with 1 µM flg22 for 30 min (Array Express; E-NASC-76)²⁹, 8-day-old Arabidopsis seedlings treated with 40 µM chitin for 1 h (Gene Expression Omnibus; GSE74955), leaves from 4-week-old Arabidopsis plants inoculated with Pseudomonas syringae pv. maculicola (Psm) ES4326 (24 h post inoculation) (GSE18978), 2-week-old Arabidopsis seedlings treated with 0.5 mM SA or 50 µM JA for 24 h (DNA Data Bank of Japan; DRA003119)³³, 2-week-old Arabidopsis seedlings grown with MS medium and treated with water spray for 10 min or 25 min (E-MTAB-8021)²³, leaves from 4-week-old Arabidopsis plants treated with bending back and forth manually for 30 min (accession is now not available)²⁶, leaves from 4-week-old Arabidopsis plants treated with brushing for 30 min (NCBI BioProject; PRJNA473032)²⁷, 2-week-old Arabidopsis seedlings grown with MS medium and treated with cotton swabbing for 30 min (accession is now not available)²⁸, 12-day-old Arabidopsis GVG-NtMEK2^DD seedlings treated with 2 μM DEX for 0 and 6 h (NCBI Sequence Read Archive; SRP111959)³⁶, and 4-week-old Arabidopsis camta1 camta2 camta3 triple mutant (GSE43818)⁴⁷ (Supplementary Data 11). The overlaps between differentially expressed genes in each transcriptome dataset were evaluated as Venn diagrams (http://bioinformatics.psb.ugent.be/webtools/Venn/) and Upset plot (https://asntech.shinyapps.io/intervene/).

RT-qPCR

Total RNA was extracted from 30–40 mg leaf tissues with Sepasol-RNA I Super G and the TURBO DNase free kit (Thermo Fisher Scientific) according to the manufacturer’s protocols, followed by reverse transcription with the PrimeScript RT reagent kit (Takara Bio, Shiga, Japan) using oligo dT primers. RT-qPCR was performed on the first-strand cDNAs diluted 20-fold in water using KAPA SYBR FAST qPCR Master Mix (2×) kit (Roche, Basel, Switzerland) and gene-specific primers in a LightCycler 96 (Roche). Primer sequences are listed in Supplementary Data 10.

Quantification of plant hormones

The adaxial side of leaves from 4-week-old plants was treated with 10 raindrops (raindrop), brushed once (MS), or cut (wounding). Sample leaves (0.07–0.1 g) were collected 5 min or 15 min after treatment and stored at −80 °C until use. Frozen samples were ground to a fine powder, mixed with 4 mL extraction solution [80% (v/v) acetonitrile, 1% (v/v) acetic acid], and stored for 1 h at 4 °C to extract plant hormones. After centrifugation at 3000 g for 10 min, the supernatants were evaporated in a vacuum centrifugal evaporator EC-57CS (Sakuma, Tokyo, Japan) and dissolved in 1% (v/v) acetic acid. Samples were loaded onto a reverse-phase solid-phase extraction cartridge (Oasis HLB 1 cc; Waters Corporation, MA, USA). The cartridge was washed with 1 mL 1% acetic acid, and hormones were eluted with 2 mL extraction solution. The eluent was evaporated to obtain samples in 1 mL 1% acetic acid and subjected to cation exchange chromatography on an Oasis MCX 1 cc extraction cartridge (Waters Corporation). The acidic fraction was eluted with 1 mL extraction solution. The acidic eluent was analyzed for SA, and the remaining fraction was evaporated, dissolved in 1% acetic acid, and loaded onto an Oasis WAX 1-cc extraction cartridge (Waters Corporation). The cartridge was washed with 1% acetic acid and the remaining hormones were eluted with extraction solution. The elute was analyzed for JA, JA-Ile, ABA, IAA, and GA₄. The contents of these hormones were quantified using liquid chromatography–electrospray tandem mass spectrometry (LC–ESI–MS/MS) (triple quadrupole mass spectrometer with 1260 high-performance LC, G6410B; Agilent Technologies Inc., CA, USA) equipped with a ZORBAX Eclipse XDB-C18 column (Agilent Technologies Inc.)⁷².

ChIP assay

Approximately 0.7 g of 2-week-old camta2 camta3 CAMTA3pro:CAMTA3^A855V-GFP seedlings was fixed in 25 mL 1% formaldehyde under vacuum for three cycles of 2 min ON/2 min OFF using an aspirator (SIBATA, Tokyo, Japan). Subsequently, 1.5 mL of 2 M glycine was added to quench the cross-linking reaction under vacuum for 2 min. The samples were then washed with 50 mL double-distilled water and stored at −80 °C until use. Frozen samples were ground to a fine powder with a mortar and pestle in liquid nitrogen and dissolved in 2.5 mL nuclei extraction buffer (10 mM Tris-HCl pH 8.0, 0.25 M sucrose, 10 mM MgCl₂, 40 mM β-mercaptoethanol, protease inhibitor cocktail)^33,73. Samples were filtered through two layers of Miracloth (Calbiochem, CA, USA) and centrifuged at 17,700g at 4 °C for 5 min. The pellets were resuspended in 75 μL nuclei lysis buffer [50 mM Tris-HCl pH 8.0, 10 mM EDTA, 1% (w/v) SDS]. After incubation first at room temperature for 20 min and then on ice for 10 min, the samples were mixed with 225 μL ChIP dilution buffer without Triton [16.7 mM Tris-HCl pH 8.0, 167 mM NaCl, 1.2 mM EDTA, 0.01% (w/v) SDS]. Chromatin samples were sonicated for 35 cycles of 30 sec ON/30 s OFF using a Bioruptor UCW-201 (Cosmo Bio, Tokyo, Japan) to produce DNA fragments, followed by the addition of 375 μL ChIP dilution buffer without Triton, 200 μL ChIP dilution buffer with Triton [16.7 mM Tris-HCl pH 8.0, 167 mM NaCl, 1.2 mM EDTA, 0.01% (w/v) SDS, 1.1% (w/v) Triton X-100], and 35 μL 20% (w/v) Triton X-100. After centrifugation at 17,700 g at 4 °C for 5 min, 900 μL solubilized sample was split into two 2.0 mL PROKEEP low-protein-binding tubes (Watson Bio Lab USA, CA, USA) and incubated with 0.75 μL anti-GFP antibody (Cat#ab290; Abcam, Cambridge, UK) (1:600 dilution) or Rabbit IgG-Isotype Control (Input) (Cat#ab37415; Abcam) (1:600 dilution) for 4.5 h with gentle rocking, and an 18 μL aliquot was used as the input control. Then, samples from camta2 camta3 CAMTA3pro:CAMTA3^A855V-GFP were mixed with 50 µL of a slurry of Protein A agarose beads (Upstate, Darmstadt, Germany) and incubated at 4 °C for 1 h with gentle rocking. Beads were washed twice with 1 mL low-salt wash buffer [20 mM Tris-HCl pH 8.0, 150 mM NaCl, 2 mM EDTA, 0.1% (w/v) SDS, 1% (w/v) Triton X-100], twice with 1 mL high-salt wash buffer [20 mM Tris-HCl pH 8.0, 500 mM NaCl, 2 mM EDTA, 0.1% (w/v) SDS, 1% (w/v) Triton X-100], twice with 1 mL LiCl wash buffer [10 mM Tris-HCl pH 8.0, 0.25 M LiCl, 1 mM EDTA, 1% (w/v) sodium deoxycholate, 1% (w/v) Nonidet P-40], and twice with 1 mL TE buffer [10 mM Tris-HCl pH 8.0, 1 mM EDTA]. After washing, beads were resuspended in 100 μL elution buffer [1% (w/v) SDS, 0.1 M NaHCO₃] and incubated at 65 °C for 30 min. For the input controls, 41.1 μL TE buffer, 8.7 μL 10% (w/v) SDS, and 21 μL elution buffer were added to 18 μL of each solubilized sample. Both supernatant and input samples were mixed with 4 μL of 5 M NaCl and incubated at 65 °C overnight to reverse the cross-linking, followed by digestion with 1 μL Proteinase K (20 mg/ml) (Invitrogen, CA, USA) at 37 °C for 1 h. ChIP samples were mixed with 500 μL Buffer NTB and purified using the PCR clean-up gel extraction kit following the manufacturer’s instructions (MACHEREY-NAGEL, Düren, Germany).

ChIP-seq library construction

ChIP-seq libraries for the input and two biological replicates were constructed from 2 ng purified DNA samples with the NEB Ultra II DNA Library Prep Kit for Illumina (New England Biolabs) according to the manufacturer’s instructions. The amount of DNA was determined on an Agilent 4150 TapeStation System (Agilent). All ChIP-seq libraries were sequenced as 81-nucleotide single-end reads using an Illumina NextSeq 550 system.

Analysis of ChIP-seq

Reads were mapped to the Arabidopsis thaliana reference genome (TAIR10, http://www.arabidopsis.org/) using Bowtie2 with default parameters⁷⁰. The Sequence Alignment/Map (SAM) file generated by Bowtie2 was converted to a Binary Alignment/Map (BAM) format file by SAMtools⁷⁴. To visualize mapped reads, Tiled Data Files file were generated from each BAM file using the igvtools package in the IGV⁴⁸. ChIP-seq peaks were called by comparing the IP with the Input using MACS2 with the “-p 0.05 -g 1.19e8” option (binomial distribution; P < 0.05)⁷⁵. The peaks were annotated using the nearest gene using the Bioconductor and the ChIPpeakAnno packages in the R program, from which we identified 2011 genes detected in both biological replicates. Enrichment of GO categories of the set of 314 genes overlapping between raindrop- and MS-induced genes for biological processes was determined using BiNGO (http://www.psb.ugent.be/cbd/papers/BiNGO/Home.html)⁷¹. Sequences of the peaks were extracted from the Arabidopsis thaliana genome as FASTA files with BEDtools⁷⁶. To identify the candidates of CAMTA3-binding motifs, the FASTA files were subjected to MEME-ChIP with the default parameters (-meme-minw 6-meme-maxw 10)⁷⁷, and a density plot of the distribution of the motifs were generated.

Immunoblot analysis for detection of MPK3 and MPK6 phosphorylation

The adaxial side of leaves from 4-week-old plants was brushed four times or treated with four raindrops, and samples (0.1–0.15 g) were snap-frozen in liquid nitrogen. Total proteins were extracted in protein extraction buffer [50 mM Tris-HCl pH 7.5, 150 mM NaCl, 2 mM DTT, 2.5 mM NaF, 1.5 mM Na₃VO₄, 0.5% (w/v) Nonidet P-40, 50 mM β-glycerophosphate, and proteinase inhibitor cocktail] and centrifuged once at 6000 g, 4 °C, for 20 min and twice at 17,000 g, 4 °C for 10 min. The supernatant was mixed with SDS sample buffer [50 mM Tris-HCl pH 6.8, 2% (w/v) SDS, 5% (w/v) glycerol, 0.02% (w/v) bromophenol blue, and 200 mM DTT] and heated at 70 °C for 20 min. The protein samples were subjected to SDS-PAGE electrophoresis and transferred onto a nitrocellulose membrane (GE Healthcare, IL, USA). The membrane was incubated with an anti-phospho-p44/42 MAPK polyclonal antibody (Cat#9101; Cell Signaling Technology, MA, USA) (1:1000 dilution) and goat anti-rabbit IgG(H + L)-HRP secondary antibody (Cat#170-6515; BIO-RAD, CA, USA) (1:2000 dilution). The bands for MPK3/6 were visualized using chemiluminescence solution mixed 5:1 with ImmunoStar Zeta (FUJIFILM Wako Chemicals, Osaka, Japan) and SuperSignal West Dura Extended Duration Substrate (Thermo Fisher Scientific). The Rubisco bands were stained with Ponceau S (Merck Sharp & Dohme Corp., NJ, USA) as a loading control. The phosphorylation levels of MPK3 and MPK6 were quantified with the blot analysis plug-in in ImageJ (https://imagej.nih.gov/ij/).

Treatment with the calcium ionophore A23187

Twelve-day-old Col-0 seedlings were treated with 50 µM calcium ionophore A23187 (Sigma-Aldrich Co., MO, USA) for 15, 30, and 60 min. Samples were processed for the phosphorylation of MPK3 and MPK6 as described in the “Immunoblot analysis for detection of MPK3 and MPK6 phosphorylation” section. The leaf tissue was stored at −80 °C until use.

Promoter–reporter imaging

The 3.0-kbp promoters for WRKY33 and CBP60g, both of which covered the previously analyzed respective regulatory sequences, were amplified from Col-0 genomic DNA by PCR and cloned into the pENTR/D-TOPO vector (Invitrogen). The promoter regions were recombined using Gateway technology into the binary vector pBGYN. The resulting pBGYN-pWRKY33-EYFP-NLS and pBGYN-pCBP60g-YFP-NLS vectors were introduced into A. tumefaciens GV3101 (pMP90) and then into Arabidopsis Col-0 plants using the floral dip method. A representative homozygous line was selected for each construct for further detailed analyses.

Promoter-reporter imaging was performed using an MA205FA automated stereomicroscope (Leica Microsystems, Wetzlar, Germany) and DFC365FX CCD camera (Leica Microsystems) in 12-bit mode. Chlorophyll autofluorescence and YFP fluorescence were detected through Texas Red (TXR) (excitation 560/40 nm, extinction 610 nm) and YFP (excitation 510/20 nm, extinction 560/40 nm) filters (Leica Microsystems). To image fluorescence emanating from the WRKY33pro:EYFP-NLS (Col-0) and CBP60gpro:EYFP-NLS (Col-0) plants⁶⁶, the leaves of 3-week-old Arabidopsis plants were brushed 10 times at an interval of 15 min for 2 h or left untreated.

Promoter analysis

The statistical analysis for overrepresented transcriptional regulatory elements across transcriptome datasets described above was calculated using a prediction program⁴¹. The P values were calculated using Statistical Motif Analysis in Promoter or Upstream Sequences (https://www.arabidopsis.org/tools/bulk/motiffinder/index.jsp). Figures of promoter motif sequences are generated with WebLogo (https://weblogo.berkeley.edu/logo.cgi).

Real-time [Ca²⁺]_cyt imaging

We used 4-week-old and 3-week-old plants expressing the GFP-based cytosolic Ca²⁺ concentration ([Ca²⁺]_cyt) indicator GCaMP3^52,53. To image the fluorescence from the GCaMP3 reporter (in Col-0 and gl1) in whole leaves, the adaxial sides of leaves from 4-week-old plants were brushed. To monitor the calcium waves propagating from trichomes, a single trichome from a 2-week-old seedling was flicked with a silver chloride wire. Samples were imaged with a motorized fluorescence stereomicroscope (SMZ-25; Nikon, Tokyo, Japan) equipped with a 1× objective lens (NA = 0.156, P2-SHR PLAN APO; Nikon) and an sCMOS camera (ORCA-Flash 4.0 V2; Hamamatsu Photonics, Shizuoka, Japan)⁵³.

To detect the accumulation levels of GCaMP3 protein in 35Spro:GCaMP3/Col-0 and 35Spro:GCaMP3/gl1, leaves from 4-week-old plants (0.1–0.15 g) were snap-frozen in liquid nitrogen. Total proteins were extracted in protein extraction buffer [50 mM Tris-HCl pH 7.5, 150 mM NaCl, 2 mM DTT, 0.5% (w/v) Nonidet P-40, and proteinase inhibitor cocktail] and centrifuged once at 6000 g, 4 °C, for 20 min and twice at 17,000g, 4 °C for 10 min. The supernatant was mixed with SDS sample buffer [50 mM Tris-HCl pH 6.8, 2% (w/v) SDS, 5% (w/v) glycerol, 0.02% (w/v) bromophenol blue, and 200 mM DTT] and heated at 70 °C for 20 min. The protein samples were subjected to SDS-PAGE electrophoresis and transferred onto a nitrocellulose membrane (GE Healthcare). The membrane was incubated with an anti-GFP antibody (Cat#ab290; Abcam) (1:4000 dilution) and a goat anti-rabbit IgG(H + L)-HRP secondary antibody (Cat#170-6515; BIO-RAD) (1:2000 dilution). GCaMP3 proteins were visualized using chemiluminescence solution mixed 5:1 with ImmunoStar Zeta (FUJIFILM Wako Chemicals) and SuperSignal West Dura Extended Duration Substrate (Thermo Fisher Scientific). Rubisco proteins were stained with Ponceau S (Merck Sharp & Dohme Corp.) as the loading control. The protein levels of GCaMP3 were quantified with the blot analysis plug-in in ImageJ.

Propidium iodide staining

A stock solution of 10 mM propidium iodide (PI) was prepared with phosphate-buffered saline pH7.5. Rosette leaves of 4-week-old Col-0 plants were cut into 5 mm squares, floated in a glass petri dish with 20 µM PI solution, and incubated for 1 h at room temperature. Stained tissues were observed under the all-in-one fluorescence microscope (BZ-X800; Keyence Corporation, Osaka, Japan) equipped with a 20× objective lens (CFI S Plan Fluor LWD ADM 20XC, Nikon) and TRITC dichroic mirror (excitation 545/25 nm, extinction 605/70 nm) (KEYENCE).

Bacterial infection

MS was applied to the adaxial leaf surface of 4-week-old plants by brushing 4 times at an interval of 15 min for 3 h. Sample leaves were then inoculated by infiltration, using a plastic syringe (Terumo Tuberculin Syringe 1 mL; TERUMO), with Psm ES4326 (OD₆₀₀ = 0.001) resuspended in 10 mM MgCl₂. Bacterial growth was measured 2 days after inoculation as described previously⁷⁸.

Fungal infection

Alternaria brassicicola strain Ryo-1 was cultured on 3.9% (w/v) potato dextrose agar plates (PDA; Becton, Dickinson and Company, NJ, USA) for 4–20 days at 28 °C in the dark. After incubation of the agar plates for 3–7 days under ultraviolet C light, a conidial suspension of A. brassicicola was obtained by mixing with RO water⁷⁹. The adaxial side of leaves from 4-week-old plants was treated with 10 droplets or MS by brushing 4 times at an interval of 15 min for 3 h, followed by spotting with 5 µL conidia suspension (2 × 10⁵ per mL) of A. brassicicola on the adaxial side of leaves. Inoculated plants were placed at 22 °C under diurnal conditions (16-h-light/8-h-dark cycles) with 100% relative humidity. The lesion size of fungal infection was measured with ImageJ 3 days after inoculation.

Statistics and reproducibility

GraphPad Prism 9 (GraphPad Software, CA, USA) was used for all statistical analyses. One-sided or two-sided Tukey’s multiple comparison test, one-sided Šídák’s multiple comparison test, or two-way analysis of variance (two-way ANOVA) were used for multiple comparisons. In all graphs, asterisks indicate statistical significance tested by one-sided or two-sided Tukey’s multiple comparison test, one-sided Šídák’s multiple comparison test, or two-way ANOVA (multiple groups).

Reporting summary

Further information on research design is available in the Nature Research Reporting Summary linked to this article.

Date availability

The authors declare that all data supporting the findings of this study are available within this article and its Supplementary Information files. RNA-seq and ChIP-seq data have been deposited in the DDBJ Sequence Read Archive at the DNA Data Bank (http://www.ddbj.nig.ac.jp/) with the accession numbers DRA011970, DRA009248, and DRA011123. Source data are provided with this paper.

References

Couto, D. & Zipfel, C. Regulation of pattern recognition receptor signalling in plants. Nat. Rev. Immunol. 16, 537–552 (2016).
Article CAS PubMed Google Scholar
Zipfel, C. et al. Bacterial disease resistance in Arabidopsis through flagellin perception. Nature 428, 764–767 (2004).
Article ADS CAS PubMed Google Scholar
Chisholm, S. T., Coaker, G., Day, B. & Staskawicz, B. J. Host-microbe interactions: shaping the evolution of the plant immune response. Cell 124, 803–814 (2006).
Article CAS PubMed Google Scholar
Cui, H., Tsuda, K. & Parker, J. E. Effector-triggered immunity: from pathogen perception to robust defense. Annu. Rev. Plant Biol. 66, 487–511 (2015).
Article CAS PubMed Google Scholar
Jones, J. D. & Dangl, J. L. The plant immune system. Nature 444, 323–329 (2006).
Article ADS CAS PubMed Google Scholar
Boudsocq, M. et al. Differential innate immune signalling via Ca(2+) sensor protein kinases. Nature 464, 418–422 (2010).
Article ADS CAS PubMed PubMed Central Google Scholar
Macho, A. P. & Zipfel, C. Plant PRRs and the activation of innate immune signaling. Mol. Cell 54, 263–272 (2014).
Article CAS PubMed Google Scholar
Mwimba, M. et al. Daily humidity oscillation regulates the circadian clock to influence plant physiology. Nat. Commun. 9, 4290 (2018).
Article ADS PubMed PubMed Central CAS Google Scholar
Wang, W. et al. Timing of plant immune responses by a central circadian regulator. Nature 470, 110–114 (2011).
Article ADS CAS PubMed PubMed Central Google Scholar
Zhou, M. et al. Redox rhythm reinforces the circadian clock to gate immune response. Nature 523, 472–476 (2015).
Article ADS PubMed PubMed Central CAS Google Scholar
Casareto, B. E., Suzuki, Y., Okada, K. & Morita, M. Biological micro-particles in rain water. Geophys. Res. 23, 173–176 (1996).
ADS Google Scholar
Prasanth, M., Nachimuthu, R., Gothandam, K. M., Kathikeyan, S. & Shanthini, T. Pseudomonas syringae: an overview and its future as a “Rain Making Bacteria”. Int. Res. J. Biol. Sci. 4, 70–77 (2015).
Google Scholar
Schwartz, H. F., Otto, K. L. & Gent, D. H. Relation of temperature and rainfall to development of Xanthomonas and Pantoea leaf blights of onion in Colorado. Plant Dis. 87, 11–14 (2003).
Article PubMed Google Scholar
Palmero, D. et al. Fungal microbiota from rain water and pathogenicity of Fusarium species isolated from atmospheric dust and rainfall dust. J. Ind. Microbiol. Biotechnol. 38, 13–20 (2011).
Article CAS PubMed Google Scholar
Madden, L. V. Effects of rain on splash dispersal of fungal pathogens. Can. J. Plant Pathol. 19, 225–230 (1997).
Article Google Scholar
Melotto, M., Underwood, W., Koczan, J., Nomura, K. & He, S. Y. Plant stomata function in innate immunity against bacterial invasion. Cell 126, 969–980 (2006).
Article CAS PubMed Google Scholar
Xin, X. F. et al. Bacteria establish an aqueous living space in plants crucial for virulence. Nature 539, 524–529 (2016).
Article CAS PubMed PubMed Central Google Scholar
Braam, J. & Davis, R. W. Rain-, wind-, and touch-induced expression of calmodulin and calmodulin-related genes in Arabidopsis. Cell 60, 357–364 (1990).
Article CAS PubMed Google Scholar
Jaffe, M. J. Thigmomorphogenesis: the response of plant growth and development to mechanical stimulation: with special reference to Bryonia dioica. Planta 114, 143–157 (1973).
Article CAS PubMed Google Scholar
Dirtha, S. & Friedrich, K. B. Stress induced ethylene evolution and its possible relationship to auxin-transport, cytokinin levels, and flower bud induction in shoots of apple seedlings and bearing apple trees. Plant Growth Regul. 24, 124–134 (1998).
Google Scholar
Johnson, K. A., Sistrunk, M. L., Polisensky, D. H. & Braam, J. Arabidopsis thaliana responses to mechanical stimulation do not require ETR1 or EIN2. Plant Physiol. 116, 643–649 (1998).
Article CAS PubMed PubMed Central Google Scholar
Lange, M. J. & Lange, T. Touch-induced changes in Arabidopsis morphology dependent on gibberellin breakdown. Nat. Plants 1, 14025 (2015).
Article CAS PubMed Google Scholar
Van Moerkercke, A. et al. A MYC2/MYC3/MYC4-dependent transcription factor network regulates water spray-responsive gene expression and jasmonate levels. Proc. Natl Acad. Sci. USA 116, 23345–23356 (2019).
Article PubMed PubMed Central CAS Google Scholar
Li, B., Meng, X., Shan, L. & He, P. Transcriptional regulation of pattern-triggered immunity in plants. Cell Host Microbe 19, 641–650 (2016).
Article CAS PubMed PubMed Central Google Scholar
Pandey, S. P. & Somssich, I. E. The role of WRKY transcription factors in plant immunity. Plant Physiol. 150, 1648–1655 (2009).
Article CAS PubMed PubMed Central Google Scholar
Lee, D., Polisensky, D. H. & Braam, J. Genome-wide identification of touch- and darkness-regulated Arabidopsis genes: a focus on calmodulin-like and XTH genes. N. Phytol. 165, 429–444 (2005).
Article CAS Google Scholar
Xu, Y. et al. Mitochondrial function modulates touch signalling in Arabidopsis thaliana. Plant J. 97, 623–645 (2019).
Article CAS PubMed Google Scholar
Wang, K. et al. Quantitative and functional posttranslational modification proteomics reveals that TREPH1 plays a role in plant touch-delayed bolting. Proc. Natl Acad. Sci. USA 115, E10265–E10274 (2018).
Article CAS PubMed PubMed Central Google Scholar
Denoux, C. et al. Activation of defense response pathways by OGs and flg22 elicitors in Arabidopsis seedlings. Mol. Plant 1, 423–445 (2008).
Article CAS PubMed Google Scholar
Dong, X., Mindrinos, M., Davis, K. R. & Ausubel, F. M. Induction of Arabidopsis defense genes by virulent and avirulent Pseudomonas syringae strains and by a cloned avirulence gene. Plant Cell 3, 61–72 (1991).
CAS PubMed PubMed Central Google Scholar
Fu, Z. Q. & Dong, X. Systemic acquired resistance: turning local infection into global defense. Annu. Rev. Plant Biol. 64, 839–863 (2013).
Article CAS PubMed Google Scholar
Howe, G. A. & Jander, G. Plant immunity to insect herbivores. Annu. Rev. Plant Biol. 59, 41–66 (2008).
Article CAS PubMed Google Scholar
Nomoto, M. et al. Suppression of MYC transcription activators by the immune cofactor NPR1 fine-tunes plant immune responses. Cell Rep. 37, 110125 (2021).
Article CAS PubMed Google Scholar
Tena, G., Boudsocq, M. & Sheen, J. Protein kinase signaling networks in plant innate immunity. Curr. Opin. Plant Biol. 14, 519–529 (2011).
Article CAS PubMed PubMed Central Google Scholar
Galletti, R., Ferrari, S. & De Lorenzo, G. Arabidopsis MPK3 and MPK6 play different roles in basal and oligogalacturonide- or flagellin-induced resistance against Botrytis cinerea. Plant Physiol. 157, 804–814 (2011).
Article CAS PubMed PubMed Central Google Scholar
Su, J. et al. Active photosynthetic inhibition mediated by MPK3/MPK6 is critical to effector-triggered immunity. PLoS Biol. 16, e2004122 (2018).
Article PubMed PubMed Central CAS Google Scholar
Ichimura, K., Mizoguchi, T., Yoshida, R., Yuasa, T. & Shinozaki, K. Various abiotic stresses rapidly activate Arabidopsis MAP kinases ATMPK4 and ATMPK6. Plant J. 24, 655–665 (2000).
Article CAS PubMed Google Scholar
Bouche, N., Scharlat, A., Snedden, W., Bouchez, D. & Fromm, H. A novel family of calmodulin-binding transcription activators in multicellular organisms. J. Biol. Chem. 277, 21851–21861 (2002).
Article CAS PubMed Google Scholar
Doherty, C. J., Van Buskirk, H. A., Myers, S. J. & Thomashow, M. F. Roles for Arabidopsis CAMTA transcription factors in cold-regulated gene expression and freezing tolerance. Plant Cell 21, 972–984 (2009).
Article CAS PubMed PubMed Central Google Scholar
Finkler, A., Ashery-Padan, R. & Fromm, H. CAMTAs: calmodulin-binding transcription activators from plants to human. FEBS Lett. 581, 3893–3898 (2007).
Article CAS PubMed Google Scholar
Yamamoto, Y. Y. et al. Identification of plant promoter constituents by analysis of local distribution of short sequences. BMC Genomics 8, 67 (2007).
Article PubMed PubMed Central CAS Google Scholar
Yang, Y. et al. Genome-wide identification of CAMTA gene family members in Medicago truncatula and their expression during root nodule symbiosis and hormone treatments. Front. Plant Sci. 6, 459 (2015).
Article PubMed PubMed Central Google Scholar
Du, L. et al. Ca(2+)/calmodulin regulates salicylic-acid-mediated plant immunity. Nature 457, 1154–1158 (2009).
Article ADS CAS PubMed Google Scholar
Galon, Y. et al. Calmodulin-binding transcription activator (CAMTA) 3 mediates biotic defense responses in Arabidopsis. FEBS Lett. 582, 943–948 (2008).
Article CAS PubMed Google Scholar
Kim, Y. S. et al. CAMTA-mediated regulation of salicylic acid immunity pathway genes in Arabidopsis exposed to low temperature and pathogen infection. Plant Cell 29, 2465–2477 (2017).
Article CAS PubMed PubMed Central Google Scholar
Nie, H. et al. SR1, a calmodulin-binding transcription factor, modulates plant defense and ethylene-induced senescence by directly regulating NDR1 and EIN3. Plant Physiol. 158, 1847–1859 (2012).
Article CAS PubMed PubMed Central Google Scholar
Kim, Y., Park, S., Gilmour, S. J. & Thomashow, M. F. Roles of CAMTA transcription factors and salicylic acid in configuring the low-temperature transcriptome and freezing tolerance of Arabidopsis. Plant J. 75, 364–376 (2013).
Article CAS PubMed Google Scholar
Thorvaldsdóttir, H., Robinson, J. T. & Mesirov, J. P. Integrative Genomics Viewer (IGV): high-performance genomics data visualization and exploration. Brief. Bioinform. 14, 178–192 (2013).
Article PubMed CAS Google Scholar
Gutschick, V. P. Biotic and abiotic consequences of differences in leaf structure. N. Phytol. 143, 3–18 (2002).
Article Google Scholar
Wagner, G. J., Wang, E. & Shepherd, R. W. New approaches for studying and exploiting an old protuberance, the plant trichome. Ann. Bot. 93, 3–11 (2004).
Article CAS PubMed PubMed Central Google Scholar
Zhou, L. H. et al. The Arabidopsis trichome is an active mechanosensory switch. Plant Cell Environ. 40, 611–621 (2017).
Article CAS PubMed Google Scholar
Tian, L. et al. Imaging neural activity in worms, flies and mice with improved GCaMP calcium indicators. Nat. Methods 6, 875–881 (2009).
Article CAS PubMed PubMed Central Google Scholar
Toyota, M. et al. Glutamate triggers long-distance, calcium-based plant defense signaling. Science 361, 1112–1115 (2018).
Article ADS CAS PubMed Google Scholar
Larkin, J. C., Oppenheimer, D. G., Lloyd, A. M., Paparozzi, E. T. & Marks, M. D. Roles of the GLABROUS1 and TRANSPARENT TESTA GLABRA genes in Arabidopsis trichome development. Plant Cell 6, 1065–1076 (1994).
Article CAS PubMed PubMed Central Google Scholar
Xia, Y. et al. The glabra1 mutation affects cuticle formation and plant responses to microbes. Plant Physiol. 154, 833–846 (2010).
Article CAS PubMed PubMed Central Google Scholar
Xia, Y. et al. An intact cuticle in distal tissues is essential for the induction of systemic acquired resistance in plants. Cell Host Microbe 5, 151–165 (2009).
Article CAS PubMed Google Scholar
Chehab, E. W., Yao, C., Henderson, Z., Kim, S. & Braam, J. Arabidopsis touch-induced morphogenesis is jasmonate mediated and protects against pests. Curr. Biol. 22, 701–706 (2012).
Article CAS PubMed Google Scholar
Mao, G. et al. Phosphorylation of a WRKY transcription factor by two pathogen-responsive MAPKs drives phytoalexin biosynthesis in Arabidopsis. Plant Cell 23, 1639–1653 (2011).
Article CAS PubMed PubMed Central Google Scholar
Tsuda, K. & Somssich, I. E. Transcriptional networks in plant immunity. N. Phytol. 206, 932–947 (2015).
Article CAS Google Scholar
Bauer, H. et al. The contribution of bacteria and fungal spores to the organic carbon content of cloud water, precipitation and aerosols. Atmos. Res. 64, 109–119 (2002).
Article ADS CAS Google Scholar
Prussin, A. J. 2nd, Marr, L. C. & Bibby, K. J. Challenges of studying viral aerosol metagenomics and communities in comparison with bacterial and fungal aerosols. FEMS Microbiol. Lett. 357, 1–9 (2014).
Article CAS PubMed Google Scholar
Huynh, T.-P. & Haick, H. Learning from an intelligent mechanosensing system of plants. Adv. Mater. Technol. 4, 1800464 (2019).
Article CAS Google Scholar
Scherzer, S., Federle, W., Al-Rasheid, K. A. S. & Hedrich, R. Venus flytrap trigger hairs are micronewton mechano-sensors that can detect small insect prey. Nat. Plants 5, 670–675 (2019).
Article CAS PubMed Google Scholar
Bacete, L. & Hamann, T. The role of mechanoperception in plant cell wall integrity maintenance. Plants 9, 574 (2020).
Suda, H. et al. Calcium dynamics during trap closure visualized in transgenic Venus flytrap. Nat. Plants 6, 1219–1224 (2020).
Article CAS PubMed Google Scholar
Betsuyaku, S. et al. Salicylic acid and jasmonic acid pathways are activated in spatially different domains around the infection site during effector-triggered immunity in Arabidopsis thaliana. Plant Cell Physiol. 59, 8–16 (2018).
Article CAS PubMed Google Scholar
Murashige, T. & Skoog, F. A revised medium for rapid growth and bio assays with tobacco tissue cultures. Physiol. Plant 15, 473–497 (1962).
Article CAS Google Scholar
Gunn, R. & Kinzer, G. D. The terminal velocity of fall for water droplets in stagnant air. J. Atmos. Sci. 6, 243–248 (1949).
ADS Google Scholar
Robinson, M. D., McCarthy, D. J. & Smyth, G. K. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data. Bioinformatics 26, 139–140 (2010).
Article CAS PubMed Google Scholar
Langmead, B. & Salzberg, S. L. Fast gapped-read alignment with Bowtie 2. Nat. Methods 9, 357–359 (2012).
Article CAS PubMed PubMed Central Google Scholar
Maere, S., Heymans, K. & Kuiper, M. BiNGO: a Cytoscape plugin to assess overrepresentation of gene ontology categories in biological networks. Bioinformatics 21, 3448–3449 (2005).
Article CAS PubMed Google Scholar
Matsuura, T., Mori, I. C., Himi, E. & Hirayama, T. Plant hormone profiling in developing seeds of common wheat (Triticum aestivum L.). Breed. Sci. 69, 601–610 (2019).
Article PubMed PubMed Central CAS Google Scholar
Yamaguchi, N. et al. PROTOCOLS: chromatin immunoprecipitation from arabidopsis tissues. Arabidopsis Book 12, e0170 (2014).
Article PubMed PubMed Central Google Scholar
Li, H. et al. The sequence alignment/map format and SAMtools. Bioinformatics 25, 2078–2079 (2009).
Article PubMed PubMed Central CAS Google Scholar
Zhang, Y. et al. Model-based analysis of ChIP-seq (MACS). Genome Biol. 9, R137 (2008).
Article PubMed PubMed Central CAS Google Scholar
Quinlan, A. R. & Hall, I. M. BEDTools: a flexible suite of utilities for comparing genomic features. Bioinformatics 26, 841–842 (2010).
Article CAS PubMed PubMed Central Google Scholar
Machanick, P. & Bailey, T. L. MEME-ChIP: motif analysis of large DNA datasets. Bioinformatics 27, 1696–1697 (2011).
Article CAS PubMed PubMed Central Google Scholar
Cao, H., Bowling, S. A., Gordon, A. S. & Dong, X. Characterization of an Arabidopsis mutant that is nonresponsive to inducers of systemic acquired resistance. Plant Cell 6, 1583–1592 (1994).
Article CAS PubMed PubMed Central Google Scholar
Hiruma, K. et al. Arabidopsis ENHANCED DISEASE RESISTANCE 1 is required for pathogen-induced expression of plant defensins in nonhost resistance, and acts through interference of MYC2-mediated repressor function. Plant J. 67, 980–992 (2011).
Article CAS PubMed Google Scholar

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Acknowledgements

We thank M.F. Thomashow for the seeds of CAMTA3 variants, S. Ishiguro for the seeds of cer1-1 and cer3-1, Y. Takano for Alternaria brassicicola Ryo-1, N. Nakayama, T. Kawasaki, T. Matsushita, and G. Goshima for discussion of the work. This work was supported by JSPS KAKENHI Grant Numbers JP23120520, JP25120718, and JP18K19334 (to Y.T.), JP15H05955 (to Y.T. and T.K.), and JP19H05363, JP21H00366 (to M.N.) and by Cooperative Research Grant #1707 of the Plant Transgenic Design Initiative (PTraD) by Gene Research Center, Tsukuba-Plant Innovation Research Center, the University of Tsukuba (to Y.T.).

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These authors contributed equally: Mamoru Matsumura, Mika Nomoto.

Authors and Affiliations

Division of Biological Science, Graduate School of Science, Nagoya University, Aichi, Japan
Mamoru Matsumura, Mika Nomoto, Tomotaka Itaya, Yuki Hayashi, Tsuyoshi Mori, Toshinori Kinoshita & Yasuomi Tada
Center for Gene Research, Nagoya University, Aichi, Japan
Mika Nomoto, Tomotaka Itaya & Yasuomi Tada
Department of Biochemistry and Molecular Biology, Saitama University, Saitama, Japan
Yuri Aratani & Masatsugu Toyota
Graduate School of Life and Environmental Sciences, University of Tsukuba, Ibaraki, Japan
Mizuki Iwamoto & Shigeyuki Betsuyaku
Institute of Plant Science and Resources (IPSR), Okayama University, Okayama, Japan
Takakazu Matsuura & Izumi C. Mori
Institute of Molecular Plant Sciences, School of Biological Sciences, University of Edinburgh, Edinburgh, UK
Michael J. Skelly & Steven H. Spoel
Faculty of Applied Biological Sciences, Gifu University, Gifu, Japan
Yoshiharu Y. Yamamoto
Institute of Transformative Bio-Molecules (WPI-ITbM), Nagoya University, Aichi, Japan
Toshinori Kinoshita
Department of Biological Chemistry, College of Bioscience and Biotechnology, Chubu University, Aichi, Japan
Takamasa Suzuki
Faculty of Life and Environmental Sciences, Microbiology Research Center for Sustainability, University of Tsukuba, Ibaraki, Japan
Shigeyuki Betsuyaku

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Mamoru Matsumura
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Mika Nomoto
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Tomotaka Itaya
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Yuri Aratani
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Yuki Hayashi
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Yoshiharu Y. Yamamoto
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Toshinori Kinoshita
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Izumi C. Mori
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Takamasa Suzuki
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Masatsugu Toyota
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Yasuomi Tada
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Contributions

M.M., M.N., S.H.S., and Y.T. designed the research. M.M. and T.I. established the artificial rain device. M.M. optimized the protocols for artificial raindrop and brush treatment. M.M. and M.N. constructed the Illumina sequencing libraries for RNA-seq and ChIP-seq. T.S. performed RNA-seq and analysis. M.N. performed the ChIP-seq and analysis of CAMTA3. T.M. and I.C.M. performed the quantification of phytohormones. M.M., Y.H., and T.K. performed the detection of MPK3 and MPK6 phosphorylation. M.M., T.M., and Y.Y.Y. performed the promoter analysis. Y.A. and M.T. generated 35Spro:GCaMP3 (gl1) plants, and M.N., M.T., and Y.A. visualized real-time [Ca²⁺]_cyt. M.I. and S.B. generated the transgenic lines WRKY33pro:EYFP-NLS (Col-0) and CBP60gpro:EYFP-NLS (Col-0). M.M., M.I., and S.B. performed promoter-reporter imaging. M.N. and M.M. performed the rest of the experiments. M.M., M.N., M.J.S., S.H.S., and Y.T. wrote the paper with input from all authors.

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Correspondence to Mika Nomoto or Yasuomi Tada.

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Matsumura, M., Nomoto, M., Itaya, T. et al. Mechanosensory trichome cells evoke a mechanical stimuli–induced immune response in Arabidopsis thaliana. Nat Commun 13, 1216 (2022). https://doi.org/10.1038/s41467-022-28813-8

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Received: 11 June 2021
Accepted: 08 February 2022
Published: 08 March 2022
DOI: https://doi.org/10.1038/s41467-022-28813-8

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