Glutamate Receptor-Like Channel3.3 Is Involved in Mediating Glutathione-Triggered Cytosolic Calcium Transients, Transcriptional Changes, and Innate Immunity Responses in Arabidopsis^,,

Extracellular glutathione triggers innate immunity responses in the Arabidopsis leaf through a glutamate receptor3.3-dependent pathway homologous with that of the central nervous system.

Abstract

The tripeptide reduced glutathione (GSH; γ-glutamate [Glu]-cysteine [Cys]-glycine) is a major endogenous antioxidant in both animal and plant cells. It also functions as a neurotransmitter mediating communication among neurons in the central nervous system of animals through modulating specific ionotropic Glu receptors (GLRs) in the membrane. Little is known about such signaling roles in plant cells. Here, we report that transient rises in cytosolic calcium triggered by exogenous GSH in Arabidopsis (Arabidopsis thaliana) leaves were sensitive to GLR antagonists and abolished in loss-of-function atglr3.3 mutants. Like the GSH biosynthesis-defective mutant PHYTOALEXIN DEFICIENT2, atglr3.3 showed enhanced susceptibility to the bacterial pathogen Pseudomonas syringae pv tomato DC3000. Pathogen-induced defense marker gene expression was also decreased in atglr3.3 mutants. Twenty-seven percent of genes that were rapidly responsive to GSH treatment of seedlings were defense genes, most of which were dependent on functional AtGLR3.3, while GSH suppressed pathogen propagation through the AtGLR3.3-dependent pathway. Eight previously identified putative AtGLR3.3 ligands, GSH, oxidized glutathione, alanine, asparagine, Cys, Glu, glycine, and serine, all elicited the AtGLR3.3-dependent cytosolic calcium transients, but only GSH and Cys induced the defense response, with the Glu-induced AtGLR3.3-dependent transcription response being much less apparent than that triggered by GSH. Together, these observations suggest that AtGLR3.3 is required for several signaling effects mediated by extracellular GSH, even though these effects may not be causally related.

Reduced glutathione (GSH; γ-Glu-Cys-Gly) is the most abundant short-chain peptide in cells and is enzymatically synthesized from Glu, Cys, and Gly. It is present in both intra- and extracellular compartments, although at least 90% is found inside the cell. Depending on the cell type, glutathione levels have been estimated to range from 1 to 10 mm, 90% of which is in reduced form, thus representing the major pool of endogenous nonprotein thiols within organisms (Noctor et al., 2011). Its Cys sulfur group can perform reversible redox reactions to form disulfides, notably with another glutathione Cys residue to produce oxidized glutathione (GSSG), which is continuously recycled at high rates to GSH by glutathione reductase existing in the cytosol and other cellular organelles. Therefore, glutathione serves a central role in free radical scavenging, maintaining the thiol status of proteins, and functions as a general antioxidant protecting cell membranes against oxidative stress and DNA against radiation (for review, see Franco and Cidlowski, 2009; Schmidt and Dringen, 2012).

In plants, GSH typically accumulates in cells to millimolar concentration. Intracellular GSH is essential for development and reactive oxygen species scavenging as well as oxidative signaling during stress responses (Foyer and Noctor, 2011; Noctor et al., 2012). Arabidopsis (Arabidopsis thaliana) knockout mutants completely deficit in GSH biosynthesis show either embryo- or seedling-lethal phenotypes (Cairns et al., 2006; Pasternak et al., 2008), demonstrating its indispensable role in plant development. Other Arabidopsis mutants that have various degrees of reduction in endogenous GSH content show altered expression of stress-related genes (Ball et al., 2004; Mhamdi et al., 2010; Han et al., 2013a, 2013b), enhancing sensitivity to excessive zinc (Shanmugam et al., 2012) and cadmium (Jozefczak et al., 2012) as well as pathogens (Parisy et al., 2007; Dubreuil-Maurizi and Poinssot, 2012).

In animal cells, GSH not only functions as an essential antioxidant as in plant cells, but GSH in the extracellular space of neurons in the central nervous system can act like a neurotransmitter or neuromodulator through specific interactions with Glu receptors (Levy et al., 1991; Juurlink, 1999; Dringen, 2000; Oja et al., 2000; Shaw et al., 2001; Aoyama et al., 2008). Glu receptors are either ionotropic (iGLRs) or metabotropic. iGLRs form ionic cation channels permeable to Ca²⁺, Na⁺, and K⁺ and are named after their agonists N-methyl-d-Asp (NMDA), 2-amino-3-hydroxy-5-methyl-4-isoxazolepropionate, and kainite (Flores-Soto et al., 2012). Metabotropic Glu receptors are coupled to G proteins and functionally linked either to the formation of inositol phosphates and diacylglycerol or to the metabolism of cyclic nucleotides (Loane et al., 2012). The molecular structure of GSH tends to make it neuroactive, because all of its three individual amino acid residues can either function as neurotransmitters or interfere with glutamatergic neurotransmission, with Glu and Gly being excitatory and inhibitory neurotransmitters, respectively (Hnasko and Edwards, 2012). Furthermore, Cys is neurotoxic at high concentrations (Slivka and Cohen, 1993). GSH can stimulate NMDA receptor-dependent membrane depolarization and Ca²⁺ entry into rat neurons (Leslie et al., 1992; Janáky et al., 1993; Ogita et al., 1995; Varga et al., 1997), cultured hippocampal neurons (Chin et al., 2006), and pig cerebral cortical synaptic membranes (Janáky et al., 2000).

To the best of our knowledge, the first report of a potentially similar signaling role of extracellular GSH in plants to that found in the animal central nervous system was a study with tobacco (Nicotiana tabacum) expressing the Ca²⁺ reporter luminescence protein aequorin in the cytosol (Gomez et al., 2004). The authors reported that exogenous application of 5 mm GSH induces cytosolic Ca²⁺ ([Ca²⁺]_cyt) transient elevation in the leaf (Gomez et al., 2004). In Arabidopsis roots, our previous study also demonstrated that 1 mm GSH can induce strong [Ca²⁺]_cyt elevation (Qi et al., 2006). Furthermore, GSH can induce AtGLR3.3-dependent membrane depolarization (Qi et al., 2006). AtGLR3.3 is one of 20 Glu receptor genes in Arabidopsis (Lacombe et al., 2001). The predicted protein structure of AtGLRs includes conserved transmembrane and extracellular ligand binding domains of iGLRs and G protein-coupled receptors (GPCRs; Chiu et al., 1999; Turano et al., 2001). Different plant GLR members are suggested to play roles in various physiological processes, including mineral nutrient homeostasis (Kim et al., 2001; Dubos et al., 2003; Kang et al., 2006; Aouini et al., 2012), carbon/nitrogen balance (Kang and Turano, 2003), root development (Li et al., 2006), stomata movement (Cho et al., 2009), abscisic acid sensing (Kang et al., 2004), gravitropism sensing (Miller et al., 2010), and pollen tube elongation (Michard et al., 2011). Recently, pharmacological approaches produced evidence that AtGLRs could be involved in innate immunity response in Arabidopsis seedlings (Kwaaitaal et al., 2011, 2012). In light of the established roles of GSH in plant defense responses (Ferrari et al., 2003; Parisy et al., 2007; Schlaeppi et al., 2008) and the requirement of AtGLR3.3 for GSH-induced signaling events in the roots (Qi et al., 2006), we hypothesized that GSH could mediate innate immunity responses in the leaf through AtGLR3.3-dependent pathways. This study reports evidence that strongly supports this notion and gives rise to several intriguing new questions about this novel signaling cascade in the defense response.

RESULTS

Exogenous GSH Induces AtGLR3.3-Dependent Heterogeneous [Ca²⁺]_cyt Rise

To investigate the signaling role of extracellular GSH in the leaf, we monitored how exogenous application of GSH ([GSH]_ext) affects [Ca²⁺]_cyt in detached Arabidopsis leaves, using cytosolic expression of the Ca²⁺ reporter protein aequorin. As observed previously (Qi et al., 2006), the background [Ca²⁺]_cyt concentration was around 0.1 μm (Fig. 1). Immediately after the delivery of a 10 µm GSH solution into the detached leaf, a rise in [Ca²⁺]_cyt was observed (Fig. 1). Increasing the [GSH]_ext to 100 and 1,000 μm further promoted the response, which showed a strong concentration-dependent pattern (Fig. 1).

Figure 1.

[GSH]_ext-induced concentration-dependent [Ca²⁺]_cyt rise in the leaf. A, Representative recording curve of 10, 100, and 1,000 µm GSH-induced [Ca²⁺]_cyt transient rise in a detached leaf. B, Averaged peak values with se of the responses (n = 5), which are significantly different to each other at P < 0.01. The dash line indicates the background [Ca²⁺]_cyt.

In our previous study with Arabidopsis roots, we demonstrated that 1 mm [GSH]_ext induced membrane depolarization and that this effect largely depends on AtGLR3.3 (Qi et al., 2006), one of 20 Glu receptor-like genes in Arabidopsis. We hypothesized that the observed [GSH]_ext-induced [Ca²⁺]_cyt rise in this study was also mediated by AtGLR3.3. As an initial test of this hypothesis, we pretreated the leaf with the iGLRs antagonists (2R)-amino-5-phosphonopentanoate (AP5) and 6,7-dinitroquinoxaline-2,3-dione. Both of them, especially AP5, significantly suppressed the [GSH]_ext-induced responses (Fig. 2). We next introduced aequorin gene into the atglr3.3-1 and atglr3.3-2 knockout mutant backgrounds through cross pollination and monitored its response to [GSH]_ext. The GSH-induced [Ca²⁺]_cyt rise observed in the wild type was completely absent in the mutants (Fig. 3).

Figure 2.

Pharmacological study of the [GSH]_ext-induced [Ca²⁺]_cyt transient response in the leaf. A, Representative recording curve of 100 µm [GSH]_ext-induced [Ca²⁺]_cyt rise in the CK and pretreated with 1 mm various Ca²⁺ mobility pathway blockers as indicated. B, Averaged peak values of these responses with se (n = 4 for EGTA and n = 5 for the rest). The asterisk stands for the sd to the CK at P < 0.01. The average background [Ca²⁺]_cyt was around 0.08 µm.

Figure 3.

[GSH]_ext-induced [Ca²⁺]_cyt response was absent in the atglr3.3 mutant. Averaged recording curves with se of 100 µm [GSH]_ext-induced [Ca²⁺]_cyt rise in the leaf cells of the ecotype Columbia (Col-0) and atglr3.3-1 and atglr3.3-2 mutants expressing aequorin (n = 10 for each).

We next used pharmacological approaches to investigate which Ca²⁺ mobility pathways contribute to the [GSH]_ext-induced and AtGLR3.3-dependent [Ca²⁺]_cyt rise. Removal of extracellular Ca²⁺ and including 1 mm Ca²⁺ chelator EGTA in the recording buffer significantly, but not completely, suppressed 100 μm GSH-induced [Ca²⁺]_cyt rise (Fig. 2). This indicates that extracellular Ca²⁺ influx through certain plasma membrane Ca²⁺-permeable channels partially, but not fully, contributes to the observed response. cAMP-gated calcium channels have been identified in the plasma membrane of Arabidopsis leaf protoplasts (Ali et al., 2007). Alloxan can interrupt the cAMP-dependent Ca²⁺ influx pathway by inhibiting adenylate cyclase activity and so blocking cAMP production. Pretreatment for 1 h with 1 mm alloxan significantly inhibited the rise in [Ca²⁺]_cyt (Fig. 2). Our previous study implicated Cyclic Nucleotide Gated Channel2 (CNGC2) in mediating the [Ca²⁺]_cyt rise associated with innate immunity (Ma et al., 2009). However, in this study, we found a normal response of the cngc2 mutant expressing aequorin to the [GSH]_ext (data not shown).

Chelating extracellular Ca²⁺ did not abolish the GSH-induced [Ca²⁺]_cyt response (Fig. 2), implicating Ca²⁺ release from certain internal Ca²⁺ storage pools in the response. 1,4,5-trisphosphate (IP3)-mediated Ca²⁺ release from internal Ca²⁺ pools has been demonstrated in Arabidopsis guard cells (Tang et al., 2007). Neomycin can block the IP₃-mediated Ca²⁺ mobility pathway by inhibiting the activity of phospholipase C, which catalyzes production of IP₃ from phosphatidylinositol 4,5 bisphosphate. One-hour 1 mm neomycin pretreatment also significantly suppressed the [GSH]_ext-induced Ca²⁺ response (Fig. 2). Taken together, these data demonstrated that the [GSH]_ext-induced Ca²⁺ response fully depended on AtGLR3.3 but was caused by increased Ca²⁺ mobility through various pathways.

AtGLR3.3 Mediates Part of the Early Transcriptional Response of the Leaf to [GSH]_ext

Ligand-induced [Ca²⁺]_cyt rise is often linked to downstream transcriptional responses (Dodd et al., 2010). To focus on the early transcriptional responses to [GSH]_ext and to establish the importance of AtGLR3.3 for the GSH-mediated signaling cascades, we treated the wild-type and atglr3.3-2 seedlings for 1 h with either the control (CK) recording buffer or the buffer containing 100 μm GSH. Two independent biological replicates were conducted for whole genome transcriptional profiling analysis with Agilent Arabidopsis microarrays. Under the CK condition, there were 35 genes showing at least 3-fold differential expression between the mutant and the wild type (Supplemental Table S1). As expected, AtGLR3.3 was the lowest expressed transcript in the atglr3.3 mutant compared with the wild type, with 47- and 50-fold changes in the two biological replicates, respectively (Supplemental Table S1).

GSH treatment of the wild type altered expression of 97 genes, with at least 3-fold transcript abundance change (Fig. 4A; Supplemental Tables S2 and S3). By comparing the genes modulated by GSH in the atglr3.3 mutant, we found that 70 (Supplemental Table S2) of the 97 genes showed no significant change in the mutant. The remaining 27 genes showed the same expression trends in response to GSH in both the wild type and the mutant (Fig. 4A; Supplemental Tables S3 and S4). Thus, this expression profiling analysis indicated that 72% (70/97) of the genes rapidly modulated by GSH in the wild type were dependent on the AtGLR3.3 pathway and 28% (27/97) independent of it.

Figure 4.

Overview of the GSH- and Glu-mediated AtGLR3.3-dependent gene expression. A, Number of overlapping genes modulated by GSH and Glu in the ecotype Columbia (Col-0) and atglr3.3 mutant. B, Functional category of the genes modulated by GSH with AtGLR3.3 dependence. C, Functional category of the genes modulated by Glu with AtGLR3.3 dependence. The numbers in and the percentage symbol outside the pie chart indicate the number and percentage of the genes in the category, respectively. U, Unknown; TF, Transcription Factor; S, Signaling; O, Others; D, Defense.

To validate the transcriptional profiling data set, independent biological samples were produced, and eight genes selected from the list of genes regulated by GSH in the wild type were chosen for quantitative reverse transcript (qRT)-PCR analysis (Supplemental Tables S2 and S3). All eight genes showed significantly increased expression in response to GSH, an effect that was significantly attenuated in the atglr3.3-2 mutant background (Supplemental Fig. S1). The trends of gene expression in Supplemental Figure S1 were consistent with those revealed by the microarray (Supplemental Table S2). These observations provide further evidence that early transcriptional responses induced by GSH are at least partially acting through AtGLR3.3.

GSH-Regulated AtGLR3.3-Dependent Defense and Signaling-Related Genes

To explore which cellular pathways were regulated by GSH in an AtGLR3.3-dependent manner, we performed categorization of these genes by Gene Ontology annotation analysis combined with manual checking of available literature associated with each of the 70 genes in Supplemental Table S2 through searching The Arabidopsis Information Resource (http://www.arabidopsis.org). This analysis showed that 27%, 20%, 20%, 20%, and 16% of these genes were functionally categorized as Defense, Signaling, Unknown, Transcription Factor, and Others, respectively (Fig. 4B; Supplemental Table S2). There were eight genes that were common to the categories Defense and Transcription Factor. All of the genes in the Defense category have been demonstrated using corresponding mutants to play roles during defense responses or found to be induced by various pathogens at transcriptional level (Table I; Supplemental Table S2). These genes notably include the essential salicylic acid (SA) biosynthesis gene ISOCHORISMATE SYNTHASE1 (ICS1; Wildermuth et al., 2001) and its key regulator SYSTEMIC ACQUIRED RESISTANCE DEFICIENT1 (SARD1; Zhang et al., 2010) as well as the transcription factors CALMODULIN BINDING PROTEIN60-LIKEG (CBP60G) (Wang et al., 2009), WRKY33, and WRKY46 (Birkenbihl et al., 2012; Hu et al., 2012; Moreau et a., 2012), all of which are essential genes for mediating defense response of Arabidopsis.

Table I. Defense genes induced by GSH in ecotype Columbia but not glr3.3-2.

Gene ID	FC01a	FC02a	Average	Annotation	Reference
Having confirmative role in defense
AT5G13320	17.9	6.1	12	GRETCHEN HAGEN 3.12; SA biosynthesis	Okrent et al., 2009
AT2G46400	15.7	4.9	10.3	WRKY46 transcription factor	Hu et al., 2012
AT1G33960	12.5	3	7.75	AVIRULENCE-INDUCED GENE1	Reuber and Ausubel, 1996
AT1G74710	5.8	4.8	5.3	Isochorismate Synthase1; SA biosynthesis	Wildermuth et al., 2001
AT1G72520	3.3	6.6	4.95	Lipoxygenase4; jasmonic acid biosynthesis	Acosta and Farmer, 2010
AT2G35980	5.1	3.9	4.5	Yellow-leaf-specific gene9	Po-Wen et al., 2013
AT5G26920	4.4	3.4	3.9	CBP60G	Wang et al., 2009
AT1G73805	3.6	3.5	3.55	SARD1; SA biosynthesis	Zhang et al., 2010
AT2G38470	3.4	3.4	3.4	WRKY33 transcription factor	Birkenbihl et al., 2012
Having putative role in defense
AT5G36970	14.8	23.1	18.95	HAIRPIN-INDUCED1 LIKE25; induced by pathogens	Varet et al., 2002
AT5G47850	7	13.2	10.1	CRINKLY44 related4; protein kinase; response to insect	Little et al., 2007
AT1G21240	7.5	3.3	5.4	Wall associated kinase3; induced by SA	He et al., 1999
AT2G18060	3.5	6.3	4.9	NAC (NAM, ATAF1/2 and CUC2) domain containing protein37; induced by chitin	Libault et al., 2007
AT3G50930	3.7	5.7	4.7	ATPases associated with diverse cellular activities type; induced by bacterial pathogen	Navarro et al., 2004
AT3G23230	3	6.3	4.65	Ethylene response factor98; induced by pathogen and jasmonic acid	McGrath et al., 2005
AT2G43000	3.7	5.1	4.4	NAC domain containing protein42; camalexin biosynthesis	Saga et al., 2012
AT1G14540	4	3.8	3.9	Peroxidase4; induced by oxidative stress and fungus infection	Rasul et al., 2012
AT1G18570	3.2	4.1	3.65	MYB51 transcription factor; induced by pathogen	Maekawa et al., 2012
AT4G33050	4	3.1	3.55	Embryo sac development arrest39; response to chitin and virus	Libault et al., 2007

^aFold changes of two replicates.

Genes in the Signaling category include a kinase (At1g67000), receptor-like proteins RLP7 and RLP20, calcium homeostasis-related proteins such as Glu receptors AtGLR1.2, AtGLR2.8, and AtGLR2.9, and CALMODULIN LIKE37. These proteins could be involved in relaying the GSH-induced AtGLR3.3-dependent rise in [Ca²⁺]_cyt transient to downstream signaling cascades (Fig. 3). In addition, this category includes At3g28580, an AAA-ATPase, which was up-regulated 6-fold by GSH in an AtGLR3.3-dependent manner (Supplemental Table S2). This component has recently been reported to play a central role in mediating plant responses to reactive oxygen species in conditions of environmental stress (Simková et al., 2012). Taken together, this analysis demonstrated that the AtGLR3.3-dependent early transcriptional responses of Arabidopsis to [GSH]_ext primarily involved cellular defense and signaling, functional categories that account for 47% of the modulated genes (Supplemental Table S2).

AtGLR3.3 Is Required for GSH-Mediated Innate Immunity Response in Arabidopsis Leaf

Arabidopsis mutants defective in GSH biosynthesis show altered defense responses to various pathogens (Glazebrook and Ausubel, 1994; Roetschi et al., 2001; van Wees et al., 2003; Bohman et al., 2004; Parisy et al., 2007; Dubreuil-Maurizi and Poinssot, 2012). Innate immunity responses involve complicated signaling networks. We hypothesized that the atglr3.3 mutants may have overlapping defense phenotypes with Arabidopsis mutants, such PHYTOALEXIN DEFICIENT2-1 (pad2-1), defective in GSH biosynthesis. To test its pathogen phenotype, we inoculated mature leaves of the wild type and two allelic knockout mutants (atglr3.3-1 and atglr3.3-2) with the hemibiotrophic model bacterial pathogen Pseudomonas syringae pv tomato DC3000 (Pst DC3000). Pathogen growth was monitored at 0, 1, 2, and 3 d post inoculation (DPI). Figure 5 showed that the two atglr3.3 mutants had significantly higher susceptibility to the pathogen infection than the wild type, indicating that AtGLR3.3 has a role in innate immunity of Arabidopsis. To validate our experimental system, we reexamined the pathogen phenotype of pad2-1 along with the wild type. Supplemental Figure S3 showed that the pathogen population per unit in the mutant at 2 DPI was significantly higher than that of the wild type, which was consistent with the previous report (Glazebrook and Ausubel, 1994).

Figure 5.

Role of AtGLR3.3 in the innate immunity and GSH-triggered defense response in the leaf. A, Leaves of ecotype Columbia (Col-0) and atglr3.3-1 and atglr3.3-2 mutants were infiltrated with either CK solution or the solution containing 100 µm GSH 1 d before the inoculation of Pst DC3000 at 5 × 10⁵ cfu mL^–1. The pathogen proliferation was monitored at 0, 1, and 2 DPI. Values presented are average with se from at least four leaves from different plants. At 1, 2, and 3 DPI, there is sd between the Col-0 and two mutants at P < 0.01. Two asterisks indicated significance at P < 0.01. Five independent experiments were conducted and showed comparable results. B, Leaf symptoms of the Col-0, atglr3.3-1, and atglr3.3-2 plants preinfiltrated with CK solution or the solution containing 100 µm GSH 3 DPI with Pst DC3000. C, Same leaves in B were kept 1 d longer, e.g. 4 DPI, in a sealed agar plate.

To investigate the role of AtGLR3.3 in the response, we monitored expression of two defense marker genes, PATHOGENESIS-RELATED GENE1 (PR1) and WRKY33, in response to pathogen infection in both the wild type and the mutants at 0, 12, 24, and 48 h post inoculation. The pathogen-induced expression of the defense marker genes was significantly attenuated in both allelic atglr3.3 loss-of-function mutants (Fig. 6). To investigate the physiological significance of the GSH-mediated AtGLR3.3-dependent defense gene expression (Fig. 4; Table I), we next examined the effect of [GSH]_ext on pathogen propagation inside the leaves of the wild type and the mutants. One day prior to the pathogen infiltration, the leaves were infiltrated with the CK buffer or the CK buffer containing100 μm GSH. On the day after, all leaves were infiltrated with the pathogen suspension at 5 × 10⁵ colony-forming units (cfu) mL^–1. The GSH pretreatment significantly suppressed pathogen propagation in the wild-type leaf. However, suppression of propagation by [GSH]_ext was not evident in the atglr3.3 mutants (Fig. 5). Thus, [GSH]_ext promotes innate immunity responses in the leaf through AtGLR3.3-dependent pathways.

Figure 6.

Pst DC3000-induced defense market gene expression in ecotype Columbia (Col-0) and atglr3.3 mutants. Pst DC3000 at 5 × 10⁵ cfu mL^–1 was infiltrated into the leaves of Col-0, atglr3.3-1, and atglr3.3-2. The leaves were harvested at 0, 12, 24, and 48 h post infection (HPI) for PR1 (A) and WRKY33 (B) gene expression analysis with qRT-PCR. The transcript abundance was normalized with reference gene Tubulin2 in Col-0 at 0 h post infection. Values presented are average with se from three independent experiments. The asterisk indicated the sd between the mutants and Col-0 at same time point at P < 0.05.

Ligand Specificity of AtGLR3.3 in the Innate Immune Response

Our previous study with Arabidopsis root and hypocotyl cells suggests that there are up to eight putative ligands of AtGLR3.3: GSH, GSSG, Ala, Asn, Cys, Gly, Glu, and Ser (Qi et al., 2006; Stephens et al., 2008). Among these, Glu plays a dominant role (Stephens et al., 2008). Given the results shown in Figure 5, we hypothesized that if any of the eight putative ligands are true biological ligands of AtGLR3.3 in vivo, they should be able to evoke AtGLR3.3-dependent innate immunity response in the leaf by exogenous application, in a similar fashion to GSH (Figs. 3–5). To test this hypothesis, we infiltrated the leaf of the wild type and two alleles of mutants with CK or CK solution containing 100 μm GSSG, Ala, Asn, Cys, Gly, and Glu 1 d before the pathogen inoculation. We also included Asp, a nonexciting amino acid, as a control. At 2 DPI, consistent with the previous results (Fig. 5), the atglr3.3 mutants showed enhanced bacterial growth (Fig. 7). Among the compounds tested, only Cys and Asp were able to act similarly to GSH to significantly suppress pathogen propagation in the wild-type leaf (Fig. 7). The suppressing effects of Cys, but not Asp, were annulled in the atglr3.3 loss-of-function mutants (Fig. 7). Thus, of the two amino acids, only the suppressive effect of Cys acts through an AtGLR3.3-dependent pathway, similar to GSH.

Figure 7.

Pst DC3000 infection assay of ecotype Columbia (Col-0) and atglr3.3 with putative ligands and Asp. The experiment procedure and analysis methods are same as those in Figure 5. Pst DC3000 proliferation in these leaves was monitored at 0 (A) and 2 DPI (B) preinfiltrated with either CK solution or the solution containing 100 µm GSSG, Glu, Asp, Ala, Cys, and Asn. C, The same assay was conducted separately for Ser and Gly. At 2 DPI in B and C, except for Asp, the values of atglr3.3-1 and atglr3.3-2 were significantly higher than that of Col-0 at P < 0.01. The asterisk in B indicated there was sd between the treatment and the CK for the corresponding genotype at P < 0.01.

The Eight Putative Ligands, but Not Asp, Induce an AtGLR3.3-Dependent [Ca²⁺]_cyt Rise

It was unexpected that the eight ligands and Asp would have distinct effects on the plant’s innate immunity responses (Figs. 5 and 7). We hypothesized that the difference could be related to (1) varying ability to initiate the transient rise in [Ca²⁺]_cyt and (2) different dependence on AtGLR3.3 in the leaves. We therefore examined effects of seven ligands and Asp on the [Ca²⁺]_cyt in the leaf cells of the wild type and atglr3.3 mutants. All the tested ligands, except Asp but including Cys, evoked significant [Ca²⁺]_cyt responses (Fig. 8). These were of varying amplitudes, but all were dependent on AtGLR3.3 (Fig. 8). This result demonstrated that innate immunity responses triggered by the ligands GSH and Cys are not simply correlated with their ability to induce [Ca²⁺]_cyt transients.

Figure 8.

Effects of the seven putative ligands of AtGLR3.3 and Asp on the [Ca²⁺]_cyt in the leaf cells of ecotype Columbia (Col-0) and atglr3.3 expressing aequorin. Averaged recording curves with se of 100 µm Glu (A) and Asp (B) induced [Ca²⁺]_cyt rise in the leaf cells of Col-0 and atglr3.3-1 and atglr3.3-2 mutants expressing aequorin (n = 8 for Glu and n = 5 for Asp). C, the average peak values with se of the response to the indicated ligands (n = 8 for GSSG and Glu, n = 5 for Asp, Cys, Ala, Asn, and Ser, and n = 7 for Gly). The asterisk indicated sd at P < 0.01 between the mutants and Col-0 for the same treatment. The dash line indicated the background [Ca²⁺]_cyt.

The Glu-Mediated Early Transcriptional Response Is Distinct to That Induced by GSH

Glu is the principle exciting amino acid that activates GLRs in the central nervous system (Flores-Soto et al., 2012). It also evokes strong [Ca²⁺]_cyt responses in the leaf (Fig. 8A), which are at least comparable with, if not stronger than, those induced by GSH (Figs. 2 and 3). However, Glu and GSH had essentially distinct effects on the plant defense responses. Most notably, Glu had no suppressive effect on the pathogen propagation (Figs. 5 and 7).

To further explore the influence of the two compounds, we compared Glu-elicited transcriptomic responses with those induced by GSH (Fig. 4B; Table I; Supplemental Table S2). In total, treatment of wild-type leaves with 100 μm Glu modulated expression of 70 genes, 69 of which showed no significant changes in response to Glu in the atglr3.3 mutant and can therefore be categorized as Glu-modulated AtGLR3.3-dependent genes (Fig. 4A; Supplemental Tables S5, S6, and S7). Among the 69 genes, only six genes were common to the GSH-modulated AtGLR3.3-dependent group (Fig. 4A; Supplemental Tables S2 and S5). Functional categorization of the 69 Glu-modulated AtGLR3.3-dependent genes showed that 37%, 16%, 23%, 3%, and 6% of these genes were classified as Unknown, Others, Signaling, Transcription Factor, and Defense, respectively (Fig. 4C). The Defense section only included four genes: PR1, FLAVIN-DEPENDENT MONOOXYGENASE1 (Mishina and Zeier, 2006), CELL WALL-ASSOCIATED KINASE1, and CELL WALL-ASSOCIATED KINASE3 (Brutus et al., 2010; De Lorenzo et al., 2011). Hence, it was strikingly different from the transcriptomic patterns elicited by GSH in an AtGLR3.3-dependent manner (Fig. 4B). Taken together, these results demonstrate that although GSH and Glu induce comparable AtGLR3.3-dependent [Ca²⁺]_cyt responses, they induce distinct downstream early transcription responses. Crucially, only GSH was able to induce expression of a significant proportion of defense-related genes, which could explain the specific capacity of GSH to suppress pathogen propagation in the leaves (Fig. 5).

DISCUSSION

Since the discovery of AtGLRs in Arabidopsis genome (Lam et al., 1998), there has been considerable interest in deciphering their physiological functions (Kudla et al., 2010). Previously, in root cells, we demonstrated that AtGLR3.3 is required for the membrane depolarization induced by eight putative ligands, including GSH, GSSG, Ala, Asn, Cys, Glu, Gly, and Ser (Qi et al., 2006). It is possible that different AtGLRs expressed in different tissue and under various conditions show different ligand specificity. The first evidence to support this notion was the finding that d-Ser, but not Glu and Gly, activates AtGLR1.2-dependent Ca²⁺ conductance in the plasma membrane of the pollen tube (Michard et al., 2011). Among the eight putative ligands of AtGLR3.3, GSH has established physiological function as an essential antioxidant and signaling molecule involved in plant defense responses (Noctor et al., 2012). It led us to form hypotheses that AtGLR3.3 may play a role in innate immunity and in mediating GSH-induced defense responses. Results presented in this study support this hypothesis and open up several intriguing avenues of research for further exploration.

The GSH-Induced AtGLR3.3-Dependent [Ca²⁺]_cyt Transient Involves Several Calcium Stores

It was previously observed that exogenous application of GSH at millimolar concentrations induced a [Ca²⁺]_cyt rise in tobacco leaf and Arabidopsis root cells (Gomez et al., 2004; Qi et al., 2006). However, the identity of the proteins involved in this response was not known. In this study, we first demonstrated that as little as 10 μm GSH could evoke significant elevation of the [Ca²⁺]_cyt (Fig. 1), suggesting that the cell has sensitive mechanisms to detect extracellular GSH at physiological concentrations. Furthermore, using a pharmacological approach and a transfer DNA (T-DNA) insertion knockout mutant expressing the Ca²⁺ reporter protein aequorin, we demonstrated that the response fully depended on AtGLR3.3 in Arabidopsis leaf cells (Fig. 3). The result is consistent with the previous observation that AtGLR3.3 is required for GSH-induced membrane depolarization in the roots (Qi et al., 2006). In animal cells, iGLRs form cation channels permeable to Ca²⁺, K⁺, and Na⁺ (Flores-Soto et al., 2012). Recently, AtGLR3.4, the closest homolog of AtGLR3.3, has been demonstrated to form an amino acid-gated Ca²⁺ channel when heterologously expressed in the plasma membrane of human embryonic kidney cells (Vincill et al., 2012).

It is possible that AtGLR3.3 forms similar Ca²⁺ channels to AtGLR3.4 in the plasma membrane of the leaf cells and is gated by extracellular GSH to conduct Ca²⁺ influx into the cytosol. However, chelating extracellular Ca²⁺ didn’t completely abolish the GSH-mediated [Ca²⁺]_cyt response (Fig. 2). This implies that mobilization of internal Ca²⁺ pools also contributes to the response. AtGLRs are predicted to contain conserved domains of both iGLRs and GPCRs (Turano et al., 2001). It is possible that the AtGLR3.3, similar to GPCRs, is coupled to certain internal Ca²⁺ mobility-signaling pathways, such as IP₃-mediated Ca²⁺ release from internal Ca²⁺ pools (Loane et al.,2012). Support for this notion comes from the observation that pharmacologically interfering with IP₃ production significantly suppressed the GSH-mediated response (Fig. 2). In summary, the observed [Ca²⁺]_cyt elevation could be explained by (1) direct influx of extracellular Ca²⁺ through the AtGLR3.3 channel into the cytosol and (2) indirect activation of internal Ca²⁺-releasing pathways through unknown intermediate signal transducers.

Role of AtGLR3.3 in Innate Immunity and GSH-Induced Defense Responses

Two alleles of atglr3.3 loss-of-function mutants showed consistently enhanced susceptibility to Pst DC3000 (Fig. 5) and decreased expression of defense-related marker genes in response to the pathogen (Fig. 6). This implicates AtGLR3.3 as a novel genetic component of the innate immunity system in the leaf. Theoretically, any of the previously identified eight ligands could be biologically significant ligands of the receptor. By testing the effects of the exogenous application of the ligands individually on pathogen propagation, we found that both GSH and Cys were able to significantly suppress pathogen growth in an AtGLR3.3-dependent manner (Fig. 7). The common feature that GSH and Cys share, and which is absent from the other potential ligands, is a thiol group. It is possible that it is these groups that interact with AtGLR3.3, which in turn evokes specific downstream signaling cascades that ultimately lead to the defense responses. It is well documented that cytosolic GSH can move into the extracellular space during cell death in animal cells (Hammond et al., 2004; Schmidt and Dringen, 2012). In plants, pathogen infection increases GSH production (Vanacker et al., 2000; Parisy et al., 2007). Possibly, cytosolic GSH can be exported to the extracellular space through oligopeptide transporters (Koh et al., 2002) during the interaction between the plant cells and pathogens.

GSH serves as reservoir for Cys, and the two flanking amino acids Glu and Gly protect the sulfhydryl group of Cys against oxidation (Meyer, 2008; Hell and Wirtz, 2011). It is known that externally supplied Cys, after being transported into the cytosol, is transiently formed into GSH (Hell and Wirtz, 2011). Therefore, it is possible that in addition to its direct binding to the AtGLR3.3, Cys can reinforce the GSH production and indirectly induce the defense response. Conversion of Cys to GSH may have contributed to the induced resistance to bacteria (preinfiltration 1 d prior to the pathogen inoculation), but the much shorter incubations used for the luminescence studies (minutes) mean that effects of Cys on [Ca²⁺]_cyt are likely to be direct. It is a very intriguing question how perception of extracellular GSH and Cys by the membrane-anchored AtGLR3.3 relays into downstream signaling cascade.

The suppressing effect of Asp on the pathogen propagation through the AtGLR3.3-independent pathway was unexpected (Fig. 7). Asp is closely linked to several metabolites that play essential roles in primary metabolic pathways such as the tricarboxylic acid cycle that contributes to cellular energy metabolism (Kirma et al., 2012). It was possible that excess Asp could interrupt the energy production process and in turn decrease the energy in the plant cells available for the pathogen consumption. It is also possible that excess Asp drives production of certain defense compounds to either directly limit the pathogen propagation or trigger the plant cells’ innate immunity responses. However, Glu, another amino acid that is closely linked to the tricarboxylic acid cycle, did not suppress pathogen propagation.

Our study gives rise to questions about the physiological ligands of AtGLR3.3. In animal cells, [GSH]_ext can induce release of other compounds, for example dopamine from mouse striatal slices (Janáky et al., 2007) and taurine from developing mouse hippocampus (Janáky et al., 2008). We cannot exclude the possibility that [GSH]_ext induces release of other compounds from the plant cells to activate the AtGLR3.3-dependent innate immunity response.

GSH-Mediated AtGLR3.3-Dependent Early Transcription Response

Several studies report that [GSH]_ext induces stress-associated gene expression, and partial and whole genome data have been presented for GSH- and glutathione reductase-deficient mutants (Ball et al., 2004; Mhamdi et al., 2010; Han et al., 2013b). In this study, we analyzed the early transcription responses of the plant cells to [GSH]_ext with the aim of studying gene regulation effects of GSH acting as a signaling molecule rather than in its well-known role as an antioxidant. Because we only had two biological replicates, we set very strict standards as detailed in “Materials and Methods” to process the raw data. Its validity was supported by two findings: first, the AtGLR3.3 transcript was the most down-regulated in the atglr3.3 mutant compared with that in the wild type (Supplemental Table S1); second, real-time qRT-PCR with independent biological samples were largely consistent with the microarray data set (Supplemental Fig. S1). The GSH treatment modulated expression of 97 genes in the wild type, 70 of which were not significantly changed in atglr.3.3, accounting for 72% of the total (Fig. 4A; Supplemental Table S2). It clearly indicated that AtGLR3.3 plays an essential role in the early transcriptional responses of the leaf to GSH. The genetic mechanism of the GSH-mediated and AtGLR3.3-independent gene expression is unknown. In animal cells, in addition to the GLRs, GSH has been shown to have profound regulative effects on the ryanodine receptor (Zable et al., 1997), death receptor (Morito et al., 2003), and GPCRs (Wang et al., 2006). It is possible that certain unknown receptors in Arabidopsis mediate the AtGLR3.3-independent GSH signaling cascade.

For the GSH-modulated AtGLR3.3-dependent genes, we did standard Gene Ontology annotation analysis combined with manual literature checking. It revealed that 27% of the genes have either confirmative roles in defense or are induced by biotic stresses (Table I; Supplemental Table S2), which accounted for the largest subgroup in the early transcription response. It makes strong sense in context of the defense function of GSH observed in this study (Fig. 5). Particularly interesting is the finding that GSH induced expression of ICS1 and SARD1 in an AtGLR3.3-dependent manner, two essential genes for SA biosynthesis (Wildermuth et al., 2001; Zhang et al., 2010). A regulatory role for SA in GSH production in plants has been described (Srivastava and Dwivedi, 1998; Yoshida et al., 2009). Our finding that GSH can strongly induce ICS1 expression (Table I) implies that there is a positive AtGLR3.3-dependent feedback mechanism for GSH to enhance SA biosynthesis under stress conditions. Hydrogen peroxide induces production of SA in tobacco (Leon et al., 1995), while the GSH-deficient mutant pad2-1 lost pathogen Phytophthora brassicae-triggered expression of ICS1 (Dubreuil-Maurizi and Poinssot, 2012). Recently, it has been reported that hydrogen peroxide-triggered accumulation of SA in a catalase-deficient mutant can be largely blocked by blocking glutathione synthesis, and that is associated with the failure to up-regulate ICS1 (Han et al., 2013a). It will be very interesting to investigate the role of AtGLR3.3 in the interaction between SA and GSH homeostasis.

Correlation of the [Ca²⁺]_cyt Transient Rise with the Defense Response

A large number of environmental and internal signals are able to evoke [Ca²⁺]_cyt transients in plant cells (Kudla et al., 2010). In most of these cases, two fundamental questions remain: (1) the molecular component underlying the transient [Ca²⁺]_cyt rise and (2) how the Ca²⁺ responses are linked to the downstream physiological function mediated by the signaling. In this study, we provided genetic evidence that the transient [Ca²⁺]_cyt rise induced by the eight putative ligands were fully dependent on AtGLR3.3 (Figs. 3 and 8). However, the link between the GSH-induced transient [Ca²⁺]_cyt rise and the defense functions of GSH still remain elusive.

It is possible that the two effects of GSH are not related. Evidence to support this argument is that Glu-induced AtGLR3.3-dependent [Ca²⁺]_cyt transient rise was stronger than that of GSH (Fig. 8), even though unlike GSH, Glu did not induce significant amount of defense gene expression and defense responses (Figs. 4C and 7). Key points are the still unknown structure of the Glu receptor complex and the mechanism through which it specifically recognizes different ligands. In animal cells, functioning iGLRs are composed of different subunits encoded by individual iGLR genes and activated by different ligands. A typical case in this context is the NMDA iGLR, which is composed of four subunits, two from NMDA Receptor A (NRA), NRB, NRC, and NRD and two NR1s. NRA to NRD is activated by Glu and NR1 by Gly (Flores-Soto et al., 2012).

It is possible that the AtGLRs are also formed by different subunits that recognize different ligands. GSH and Cys could activate a unique subunit through their specific thiol group and induce additional signaling cascades that occur alongside, rather than downstream, of the transient [Ca²⁺]_cyt rise. Our previous study with the cross-desensitization technique indirectly reveals that the AtGLRs are composed by AtGLR3.3 and other subunits specifically activated by different putative ligands (Stephens et al., 2008).

The situation could be even more complex. It has been proposed for some time that transient [Ca²⁺]_cyt rises induced by different signals could be different in strength, frequency, and spatial distribution (Kudla et al., 2010). A recent study provides evidence in support of this and shows that transient [Ca²⁺]_cyt rises with different strength and spatial distribution are linked to different transcription responses (Wheeler et al., 2012). Such concepts could explain why GSH and Glu induce comparable changes in [Ca²⁺]_cyt but distinct gene expression responses. To completely elucidate this mechanism, studies will require more precise measurement and subcellular imaging of dynamic changes in [Ca²⁺]_cyt. Whether the two GSH-mediated AtGLR3.3-dependent effects are related or not, our data suggest that the GSH-related functions of AtGLR3.3 are involved in signaling. The atglr3.3 mutant showed wild-type growth on cadmium (Supplemental Fig. S2), a condition in which GSH plays an important but nonsignaling role as a precursor molecule of phytochelatins that sequester cadmium (Cobbett et al., 1998; Jozefczak et al., 2012).

CONCLUSION

Glu receptors play vital roles in mediating information exchange among neurons in the central nervous system. Their complex functions are determined by their versatile structures, subunit composition, various ligand types, and binging sites as well as binding affinity in different tissues and under different physiological conditions (Flores-Soto et al., 2012; Popescu, 2012). In this study, we provided evidence to support a novel role of AtGLR3.3 in the innate immunity and GSH-mediated defense response in Arabidopsis leaf. Our findings promote understanding of the AtGLR gene family and the related signaling roles of extracellular GSH and raise intriguing questions for further study.

MATERIALS AND METHODS

Arabidopsis AtGLR3.3 Mutants Expressing Aequorin

The Arabidopsis (Arabidopsis thaliana) atglr3.3-1 and atglr3.3-2 (At1g42540) homozygous knockout mutants used in this study were described previously (Qi et al., 2006) and were SALK_040458 and SALK_066009, respectively (Alonso et al., 2003), obtained from The Arabidopsis Biological Resource Center. To introduce the aequorin gene into the mutant background, mutants were crossed with the aequorin transgenic Arabidopsis line (Knight et al., 1991). In the F2 segregation population, homozygous T-DNA insertions were detected with gene-specific primers (SALK_040458, 5′-TTGTTTGTTGCAGCATTGAG-3′, 5′-GCCAATCTTGAGTTCTTTCCC-3′ and SALK_066009, 5′-AAGCACCAGACATCTTACGC-3′, 5′-TCAGATTGGTCCAATTTTAGC-3′) and the T-DNA left border-specific primer LBb1.3 (5′-ATTTTGCCGATTTCGGAAC-3′). The presence of active aequorin was validated by measuring luminescence intensity in the leaf, as described below.

[Ca²⁺]_cyt Measurement in Arabidopsis Leaf Expressing Aequorin

To measure dynamic changes in [Ca²⁺]_cyt in the leaf, Arabidopsis seeds were surface sterilized with 100% ethanol (v/v) for 15 min and dried on sterilized filter paper in a fume hood. Sterilized seeds were sown on 0.7% (w/v) agar medium containing one-half-strength Murashige and Skoog basic salts with 1% (w/v) Suc and 5 mm MES, pH 5.7. After 3-d treatment at 4°C, the plates were placed in a growth chamber at 22°C to 24°C , 12-h light/12-h dark, and a light intensity of 100 to 120 μmol E m^–2 s^–1. One leaf per 12-d-old seedlings was cut and placed in a 1.5-mL centrifuge tube with 100 μL control buffer (CK buffer) composed of 1 mm KCl, 1 mm CaCl₂, and 5 mm MES, pH 5.7. We observed that leaves from precut seedlings had a very weak [Ca²⁺]_cyt response. To ensure consistent results, therefore, care was taken to sample only one leaf per seedling. Under dim light, coelenterazine hcp (Promega) was added into the buffer to a final concentration of 1 μm. After 12- to 14-h incubation in the dark, the tube with the leaf was put into a single tube luminometer with a detection limit of 10^–21 mol luciferase (Turner Biosystem, 20/20) in a room with dim light. The tube was left to stand for 3 to 5 min to allow the leaf to recover from potential disturbances of [Ca²⁺]_cyt triggered by the handling. For the treatment, 100 μL control buffer with 2 times the final concentration of GSH was quickly delivered into the tube by positioning the pipette tip on the internal walls to enable the treatment solution to diffuse into the solution with the leaf. This procedure avoided directly dropping the treatment solution into the solution with the leaf and so aimed to minimize disturbance of the leaf [Ca²⁺]_cyt background.

Luminescence intensity was measured at 1-Hz frequency. At the end of each recording, 500 μL ice-cold 1 m CaCl₂ in 20% ethanol (v/v) was delivered into the tube to saturate the Ca²⁺ and aequorin protein-dependent luminescence. The absolute [Ca²⁺]_cyt concentration was calculated based on the method described previously (Rentel and Knight, 2004). To explore the contribution of external Ca²⁺ to the observed [Ca²⁺]_cyt rise, we incubated the leaf in Ca²⁺-free CK buffer with 1 mm EGTA, a Ca²⁺ chelator. The GSH treatment was also performed in the same buffer. To address effects of AP5, alloxan, neomycin, and 6,7-dinitroquinoxaline-2,3-dione on the [Ca²⁺]_cyt responses, these chemicals were added into the recording buffer at the indicated concentration 1 h before the GSH treatments. All chemicals were purchased from Sigma.

Arabidopsis Seedling Treatment and RNA Extraction for Complementary DNA Microarray

Arabidopsis seedlings were cultured on 0.7% (w/v) agar medium containing one-half-strength Murashige and Skoog basic salt with 1% Suc (w/v) and 5 mm MES, pH 5.7. Ten-day-old seedlings were equilibrated in the CK buffer for 24 h. Then, these seedlings were either treated with the CK buffer or the CK buffer containing100 μm GSH and 100 μm Glu for 1 h, respectively. Total RNA was extracted from each sample using EasyPure Plant RNA kit (Transgene). Further RNA purification, probe preparation, hybridization, and microarray scanning were done at the National GeneChip Engineering Center (http://www.ebioserve.com). Labeled samples were hybridized with one Agilent Arabidopsis 4×44k array by following the manufacturer’s instructions. Four biologically independent sets of Arabidopsis seedlings were prepared, two for the microarray experiment and two for real-time qRT-PCR analysis.

The raw data were normalized by quantile algorithm using Gene Spring Software 11.0. The following criteria were used in the National GeneChip Engineering Center for defining significantly differentially expressed genes: (1) genes that are statistically significant at the level of P < 0.05 after false discovery rate correction and labeled “Present” call by the GeneChip Operation System output and (2) genes showing a change in the expression level between treatment and control at least 3-fold in the two replicates. The Gene Ontology annotation analysis was conducted using the online program at http://www.Arabidopsis.org/tools/bulk/go/index.jsp. The raw data of the microarray experiment was deposited at http://www.ebi.ac.uk/miamexpress/ with access number E–MEXP–3885.

qRT-PCR Analysis

Tissue preparation and RNA extraction were as for the microarray analyses. Total RNA was treated with RNAse-free DNAse to remove all DNA contamination (Takara). One microgram of RNA samples were used for complementary DNA synthesis with oligo(dT) primer and PrimeScript II reverse transcriptase (Takara) following a standard protocol. DNA contamination of the complementary DNA was further tested by PCR with a pair of primers spanning an intron. Before the qRT-PCR analysis, all primers were tested for their specificity and primer dimer formation by conducting semiquantitative reverse transcript PCR. qRT-PCR was conducted on a Biorad Chromo 4 real-time PCR system using SYBR Green Premix Ex Taq II kit (Takara). The Arabidopsis Tubulin2 gene (At5g62690) was used as a constitutive reference to normalize the gene expression. Relative expression to the wild type under CK condition was presented in Figure 6 and Supplemental Figure S1. Primer sequences for the PCR are listed in Supplemental Table S8.

Bacterial Growth Assay

To prepare Arabidopsis plants for the assay, we grew two wild-type and two mutant plants in the same pot to minimize side effects of growth environment difference on the pathogen propagation results. The pots were maintained in a growth chamber with 50 to 70% humidity at 22°C to 24°C, 12-h light/12-h dark, and a light intensity of 100 to 120 μmol E m^–2 s^–1. Four-week-old leaves were used in this study. For each plant, we chose two leaves for syringe-based infiltration. One day before the pathogen inoculation, we infiltrated the leaf with either the CK or CK containing100 μm GSH, GSSG, Ala, Asn, Cys, Gly, Glu, Ser, and Asp.

The bacterial strain used in this study was Pst DC3000. The –80°C stock of the pathogen was first streaked onto a low-salt Luria-Bertani plate (tryptone 10 g L^–1, yeast [Saccharomyces cerevisiae] extract 5 g L^–1, and NaCl 5 g L^–1) with 50 μg mL^–1 rifampin. Plates with bacteria were cultured at 28°C for 38 to 42 h, then subcultured in liquid Luria-Bertani solution growing up to an optical density at 600 nm of 0.8 to 1.0. After collection by centrifuging, the pathogen was resuspended in sterile water to an optical density at 600 nm of 0.001, corresponding to 5 × 10⁵ cfu mL^–1 bacteria, and infiltrated into the leaf with a needless 1-mL syringe. At 0, 1, 2, and 3 DPI, the inoculated leaf was taken and briefly rinsed in 75% ethanol (v/v) and sterile water. A leaf disc with 0.5-cm diameter was sampled from each of four to eight different leaves from separate plants for each treatments of each genotype and ground in sterile water. A standard colony-forming unit dilution assay was conducted (Katagiri et al., 2002). Five independent biological replicates were performed.

Supplemental Data

The following materials are available in the online version of this article.

• Supplemental Figure S1. qRT-PCR analysis of GSH-induced AtGLR3.3-dependent gene expression.

• Supplemental Figure S2. Root elongation responses of ecotype Columbia and atglr3.3 to Cd²⁺.

• Supplemental Figure S3. Pst DC3000 infection assay of Arabidopsis pad2-1 mutants.

• Supplemental Table S1. Differential expressed gene in the atglr3.3-2 mutant compared with that in ecotype Columbia.

• Supplemental Table S2. Genes modulated by GSH in ecotype Columbia but not atglr3.3-2 mutant.

• Supplemental Table S3. Genes modulated by GSH in ecotype Columbia and atglr3.3-2 mutant.

• Supplemental Table S4. Genes modulated by GSH in atglr3.3-2 but not ecotype Columbia.

• Supplemental Table S5. Genes modulated by Glu in ecotype Columbia but not atglr3.3-2 mutant.

• Supplemental Table S6. Genes modulated by Glu in ecotype Columbia and atglr3.3-2 mutant.

• Supplemental Table S7. Genes modulated by Glu in atglr3.3-2 but not ecotype Columbia.

• Supplemental Table S8. Primers used for the quantitative PCR.

Glossary

GSH

reduced glutathione

GSSG

oxidized glutathione

iGLR

ionotropic Glu receptor

NMDA

N-methyl-d-Asp

[Ca²⁺]_cyt

cytosolic Ca²⁺

GPCR

G protein-coupled receptor

[GSH]_ext

exogenous glutathione

AP5

(2R)-amino-5-phosphonopentanoate

IP₃

1,4,5-trisphosphate

CK

control

qRT

quantitative reverse transcript

DPI

d post inoculation

cfu

colony-forming unit

T-DNA

transfer DNA

Pst DC3000

Pseudomonas syringae pv tomato DC3000

SA

salicylic acid