Exogenous proteinogenic amino acids induce systemic resistance in rice

Abstract

Background

Plant immune responses can be induced by endogenous and exogenous signaling molecules. Recently, amino acids and their metabolites have been reported to affect the plant immune system. However, how amino acids act in plant defense responses has yet to be clarified. Here, we report that treatment of rice roots with amino acids such as glutamate (Glu) induced systemic disease resistance against rice blast in leaves.

Results

Treatment of roots with Glu activated the transcription of a large variety of defense-related genes both in roots and leaves. In leaves, salicylic acid (SA)-responsive genes, rather than jasmonic acid (JA) or ethylene (ET)-responsive genes, were induced by this treatment. The Glu-induced blast resistance was partially impaired in rice plants deficient in SA signaling such as NahG plants expressing an SA hydroxylase, WRKY45-knockdown, and OsNPR1-knockdown plants. The JA-deficient mutant cpm2 exhibited full Glu-induced blast resistance.

Conclusions

Our results indicate that the amino acid-induced blast resistance partly depends on the SA pathway but an unknown SA-independent signaling pathway is also involved.

Background

Twenty proteinogenic amino acids are not only the building blocks of proteins; they or their metabolites also play key roles in development, homeostasis, and growth. In plants, for example, tryptophan is essential for the synthesis of auxins (such as indole-3-acetic acid), which are important growth hormones. Methionine is a precursor of ethylene (ET), an important plant hormone implicated in development and stress signaling. Isoleucine is necessary for the activation of jasmonic acid (JA). Thus, amino acids play essential roles in the regulation of development, growth, and stress responses of plants.

Previous studies revealed the involvement of amino acid metabolism in plant disease responses. In Arabidopsis thaliana, inoculation with avirulent Pseudomonas syringae pv. tomato (Pto) expressing avrRpt2 gene activates the transcription of genes involved in amino acid biosynthesis [1]. Metabolic profiling has also shown that inoculation with virulent or avirulent pathogens alters amino acid contents in Arabidopsis [2].

Analysis of Arabidopsis mutants strongly supports the hypothesis that amino acids are important for defense responses in plants. The lht1 (lys histidine transporter 1) mutant with reduced levels of Pro, Gln, and Ala shows strong resistance against various types of pathogens such as bacteria, filamentous fungi, and oomycetes [3]. A mutant for the Pro dehydrogenase gene ProDH is highly susceptible to avirulent Pto AvrRpm1 and has a reduced level of reactive oxygen species (ROS) involved in cell death [4]. These results imply possible involvement of amino acid contents or amino acid metabolism in pathogen susceptibility and defense responses in plants. Despite the apparent relevance of amino acid metabolism to disease resistance, the details of these phenomena have yet to be elucidated.

Multiple signaling pathways mediated by plant hormones, such as salicylic acid (SA), JA, and ET, play a role in disease resistance. The SA pathway has been extensively investigated over the last decades, especially with respect to its role in systemic acquired resistance (SAR) in dicots. In Arabidopsis, Nonexpressor of PR1 (NPR1) plays key roles in SAR [5]. In rice, the SA pathway branches into two sub-pathways, which are dependent on (co-) transcription factors OsNPR1 or OsWRKY45, respectively [6–9]. OsWRKY45 is essential for SA- and benzothiadiazole (BTH)-induced resistance against rice blast and bacterial blight diseases [10, 11]. BTH-induced blast resistance is impaired in both OsNPR1-knockdown (−kd) and OsWRKY45-kd rice lines [10, 11].

JA and ET are also involved in rice resistance against blast disease. For example, systemic resistance against rice blast induced by root treatment with Pseudomonas fluorescens WCS374r is SA-independent, and JA- and ET-dependent [12]. Rice COLEOPTILE PHOTOMORPHOGENESIS 2 (CPM2) is a single-copy gene for allene oxide cyclase (AOC), which is essential for JA synthesis. Riemann et al. reported that a cpm2 mutant, the JA concentration in which is extremely low, is sensitive to an otherwise incompatible strain of Magnaporthe oryzae [13]. Overexpression of OsAOS2 encoding an allene oxide synthase elevated the JA concentration and enhanced rice resistance against M. oryzae [14]. Overexpression of OsACS2 encoding a 1-aminocyclopropane-1-carboxylate synthase elevated the ET concentration and consequently enhanced resistance against M. oryzae in rice [15]. These investigations imply that multiple signaling pathways may be activated in response to rice blast in rice.

Previously, we reported that glutamate fermentation byproducts (GFB) confer resistance to pathogen infection in Arabidopsis [16]. In this study, we aimed to clarify the role of amino acids in rice defense responses and found that treating roots with amino acids induces systemic defense responses and suppresses infection of compatible rice with blast fungus. We showed that the SA signaling pathway and at least one other unknown pathway are involved in this systemic resistance. These findings provide a new perspective on understanding the mechanisms of plant immunity and rice protection from infectious diseases.

Results

To investigate the effect of Glu on disease resistance, we immersed rice roots into 0.1–25 mM Glu solutions for 24 h, sprayed M. oryzae conidia onto rice plants, and analyzed disease symptoms 5 d after treatment. Glu treatment markedly reduced blast lesions on leaves in a concentration-dependent manner (Fig. 1). This result indicates an induction of systemic disease resistance. Because Glu concentrations above 10 mM suppressed plant growth, we used 10 mM Glu in the following experiments.

Fig. 1

Glu concentration–dependent reduction of blast lesions. a, Rice plants were grown in growth chambers, dipped into Glu solution from the roots for 24 h, and inoculated with Magnaporthe oryzae. Lesions on the fourth leaves were counted 7 d after inoculation. The data are means ± SE (n = 6). b, Blast lesions on the fourth leaves

To test the effects of other amino acids, we performed a similar experiment with 18 amino acids (10 mM; Trp and Tyr were excluded because of their low solubility in water). We found that all amino acids conferred resistance (Fig. 2). In addition to Glu, three other amino acids, Asn, Met, and Asp, induced strong resistance. In contrast, basic amino acids (Arg, Lys, and His), some hydrophobic amino acids (Phe and Val) and Cys induced weak resistance. Hydrophobicity does not appear to be a determinant because other hydrophobic amino acids, such as Ile and Leu, induced substantial resistance. These results suggest that amino acids have potential to trigger resistance against rice blast. We observed some growth inhibition when roots were treated with Met or Ile, but not with other amino acids (data not shown).

Fig. 2

Rice blast resistance induced by amino acids. a, The infection ratio in amino acid-treated rice. Roots were dipped into 10 mM L-amino acid solutions for 24 h and inoculated with rice blast fungus. Blast lesions were counted 5 d later and the ratios between the values for mock-inoculated and fungus-inoculated plants were calculated. The experiment was repeated twice. Circles indicate the infection ratio obtained from two independent experiments and the bars show the average values. b, Blast lesions on rice leaves treated with amino acids

To assess Glu-induced defense responses, we performed microarray analysis of the fourth leaves of 2-week-old plants the roots of which were treated with Glu for 8 or 24 h (Additional file 1). This analysis indicated that Glu treatment increased the transcript levels of Several SA-responsive genes, such as OsWRKY76, OsWRKY19, OsWRKY45, SA-glucosyltransferase, GST, and OsPR1b (Table 1) and several JA-responsive genes, such as OsJAZ3 and OsJAZ4 were upregulated (Table 2). To investigate the early events induced by Glu, we analyzed the expression patterns of defense-related genes by qRT-PCR in roots (Fig. 3). Several genes rapidly responded to Glu, and their transcript levels reached maximum within 6 h after treatment.

Table 1 Changes in the expression of SA-dependent genes upon Glu treatment detected by microarray analysis

Table 2 Changes in the expression of JA-dependent genes upon Glu treatment detected by microarray analysis

Fig 3

Temporal expression patterns of defense-related genes in the roots of Glu-treated rice. Roots were treated with water (mock) or 10 mM Glu for the indicated periods of time. Total RNA was extracted from roots, and the expression of the genes of interest was analyzed by qRT-PCR. Y-axis shows relative mRNA expression to eEF-1a. The data are means ± SE (n = 3)

In our qRT-PCR analysis of several pathogen-responsive genes in the fourth leaves, the expression of the SA-responsive genes OsWRKY45 and OsPR1b were remarkably up-regulated by Glu treatment (Fig. 4). These results suggest that Glu treatment induces rapid responses in roots, mainly in SA signaling, and the signal is then transmitted to leaves, where it activates SA-responses.

Fig 4

Temporal expression patterns of defense-related genes in the fourth leaves of Glu-treated rice. Roots were treated with water (mock) or 10 mM Glu for the indicated periods of time. Total RNA was extracted from the fourth leaves, and the expression of the genes of interest was analyzed by qRT-PCR. Y-axis shows relative mRNA expression to UBQ. The data are means ± SE (n = 3)

To investigate the contribution of SA signaling to Glu-induced rice blast resistance, we used two lines (#3.1 and #6.4) of SA-deficient NahG transgenic plants; NahG plants are more susceptible to rice blast than wild-type because of the decrease in SA [17]. The plants were treated with Glu for 24 h and inoculated with M. oryzae. Glu suppressed blast symptoms drastically in both NahG lines, although #6.4 was more susceptible than #3.1 (Fig. 5a), indicating that Glu-induced blast resistance occurs even in SA-deficient plants. The levels of M. oryzae 28S rDNA were consistent with the severity of blast symptoms (Fig. 5b). Using NahG plants (#6.4), we also determined the effect of Glu on the expression of OsWRKY45 (Fig. 6). A Glu-induced increase in OsWRKY45 expression was observed in wild-type leaves but was barely noticeable in NahG leaves (Fig. 6). These results suggest that the SA pathway is involved in Glu-induced resistance but its contribution is partial.

Fig 5

Glu-induced rice blast resistance in lines #3.1 and #6.4 of NahG transgenic rice. a, Blast lesions on the fourth leaves of wild-type and NahG rice treated with water (mock) or 10 mM Glu. b, The ratio of the level of M. oryzae 28S rDNA to that of rice UBQ in infected leaves. The data are means ± SE (n = 12); Different letters indicate significant differences as determined by ANOVA followed by Tukey’s multiple comparison test (P < 0.05)

Fig 6

OsWRKY45 expression in wild-type rice and three lines of NahG rice. Roots were treated with water (mock) or 10 mM Glu for 24 h, and OsWRKY45 expression in the fourth leaves was analyzed by qRT-PCR. Y-axis shows relative mRNA expression to UBQ. The data are means ± SE (n = 5)

It has previously been shown that BTH-induced blast resistance is compromised in OsNPR1-kd [7] and OsWRKY45-kd [10] rice plants. To further investigate the involvement of the SA pathway, we used OsNPR1-kd lines (#7 and #14) and OsWRKY45-kd lines (#3-3 and #15-3) (Fig. 7). Mock-treated OsNPR1-kd and OsWRKY45-kd plants were more susceptible to rice blast than were wild type, indicating that basal defense is impaired in these lines. Glu treatment strongly induced blast resistance in wild type. In OsNPR1-kd and OsWRKY45-kd plants, Glu treatment induced blast resistance in comparison with mock treatment. However, Glu-treated OsNPR1-kd and OsWRKY45-kd plants showed disease symptoms comparable to those in mock-treated wild type. Taken together, these results indicate that Glu-induced blast resistance is partially dependent on SA signaling, but an unknown SA-independent pathway is also involved.

Fig 7

Effects of Glu on blast resistance of OsWRKY45-kd and OsNPR1-kd rice. The number of lesions on the fourth leaves of the rice treated with water (mock) or 10 mM Glu was counted 5 d after inoculation. The data are means ± SE (n = 10); Different letters indicate significant differences as determined by ANOVA followed by Tukey’s multiple comparison test (P < 0.05)

Since JA also plays a role in rice blast resistance, we also examined whether it is involved in Glu-induced resistance by examining the JA-deficient cpm2 mutant. Glu induced blast resistance both in cpm2 and wild type (Fig. 8), indicating that Glu responses are independent of JA.

Fig 8

The effect of JA on Glu-induced rice blast resistance in wild-type and a cpm2 mutant rice. a, Blast lesions on the fourth leaves of wild-type rice and a cpm2 mutant treated with water (mock) or 10 mM Glu. b, The ratio of the level of M. oryzae 28S rDNA to that of rice UBQ in infected leaves The data are means ± SE (n = 12). Different letters indicate significant differences as determined by ANOVA followed by Tukey’s multiple comparison test (P < 0.05)

To examine whether ET is involved in Glu-induced disease resistance, we performed gene expression analysis of OsWRKY45, OsPR1b and OsCOMT 3 or 7 h after root treatment with SA, JA, ACC, or Glu. The transcript level of OsWRKY45 was markedly elevated 7 h after Glu treatment, whereas no increase was observed upon ACC treatment (Fig. 9), consistent with a previous report [10]. These results suggest that the ET pathway is not important for Glu-induced resistance. JA-responsive OsCOMT1 was not induced by Glu treatment, consistent with the result that Glu-induced blast resistance was not impaired in cpm2. Interestingly, 1 mM SA did not induce OsWRKY45 and OsPR1b expression in the fourth leaves, suggesting that SA synthesis in the root is not important for Glu-induced resistance.

Fig 9

The effect of plant hormones on induced systemic resistance. Roots were treated with water (mock) or each compound, and the expression of the genes in the fourth leaves was analyzed by qRT-PCR. Y-axis shows relative mRNA expression to UBQ. The data are means ± SE (n = 3)

Discussion

There is a report indicating that the amino acid metabolism in plant cells changes when the plant is infected with pathogens [2]. In Arabidopsis mutants with altered amino acid metabolism, such as lht1, primary metabolites, including amino acids, affect the plant–microbe interaction, and an association between amino acid metabolism and the SA pathway has been suggested [3]. The LHT1 gene was upregulated by pathogen infection in wild type but not in a NahG transformant and SA pathway–deficient mutants such as pad4, sid2 and npr1 [3]. The increased expression of the Pto AvrRpm1–induced ProDH gene encoding a Glu-generating enzyme depends on the exogenous SA concentration and is markedly lower in sid2 and npr1 than in wild type [4]. In rice, the effect of Glu was decreased in OsWRKY45-kd, OsNPR1-kd, and NahG transformants; therefore, the SA pathway is most likely involved in Glu-induced resistance. However, the decrease of the induction of resistance by Glu in each transformant was incomplete. Therefore, it is also likely that a molecule (s) other than SA mediates systemic resistance induced by Glu treatment.

Glu might be recognized by a glutamate receptor–like (GLR) protein (s). Arabidopsis has 20 genes encoding GLRs that share considerable similarity in primary and predicted secondary structures with animal ionotropic glutamate receptor (iGluR) subunits [18]. Some plant iGluR homologs have been implicated in root development, ion transport, and several metabolic and signaling pathways [19]. Arabidopsis expressing radish GLR cDNA shows an increased expression of defense-related genes and enhanced resistance to Botrytis cinerea [20]. The AtGLR3.3 mutant is more susceptible to Hyaloperonospora arabidopsidis and Pseudomonas syringae than wild type and fails to activate the transcription of defense-related genes [21]. Recent studies have shown that GLR have broad specificities to amino acids [22]. This is consistent with our observation that various amino acids induced blast resistance at different extents. Hence, initial cellular event in the amino–acid–induced systemic resistance could involve GLRs.

The simplest model of defense signal transduction from roots to leaves is that Glu or its metabolite is transported to the leaves directly. However, Glu treatment of roots did not significantly change the content of free amino acids in leaves (Additional file 2). If GLRs are involved in the recognition of exogenous amino acids, electrical signal should be transmitted from roots to leaves. In Arabidopsis, several GLRs functions in agonist–stimulated plasma membrane depolarization and can control cytosolic Ca²⁺ influxes [23]. AtGLR 3.3 has also been implicated in the defense response to mechanical wounding and systemic wound–induced gene expression, and electrical signal transmission is eliminated in atglr 3.3 and atglr 3.6 double mutant [24]. Various novel signal molecules have been reported [25]. One of these is pipecolic acid (Pip), an amino acid synthesized from Lys and required for systemic acquired resistance (SAR) in Arabidopsis [26]. There are several similarities between Pip- and Glu-induced disease resistance at the point that amino acid induced disease resistance mediated by SA-pathway. Our results, however, demonstrate that Lys, the direct precursor of Pip, induced much weaker resistance than Glu. Another defense-inducing amino acid is Pro. Free Pro accumulation has been observed in response to environmental stresses, including pathogen attack [27]. Pro is converted to Glu by two reactions catalyzed by two enzymes, ProDH and Δ¹-pyrroline-5-carboxylate dehydrogenase (P5CDH). ROS generated in this catabolic pathway contribute to hypersensitive response and disease resistance [4]. In this study, however, we found that Pro did not induce strong resistance compared to Glu. If ProDH induces systemic resistance in rice, the effect of Glu should be weaker than that of Pro. Therefore, the Glu-induced systemic resistance in rice is unlikely to be mediated by ROS derived from Pro catabolism.

The defense response requires amino acids as a resource for synthesis of defense proteins. Therefore, Glu and other amino acids may induce SA-independent resistance by contributing to a pool of amino acids. Glu is connected to the TCA cycle by glutamate dehydrogenase and therefore could serve as a source of energy and carbon for synthesis of defense compounds such as phytoalexins. This pathway could contribute to SA-independent defense.

Conclusions

In this study, we demonstrated that exogenous application of free amino acids induces blast resistance in rice. Systemic induction of the SA-dependent defense response is most likely involved, but another unknown mechanism also appears to be involved in this phenomenon. Although we could not completely elucidate the mechanism of disease resistance induced by Glu and other amino acids, our findings partly explain the induction of disease resistance by GFB in several crops [16]. This knowledge may contribute to the development of agricultural materials or farming systems with reduced environmental loads.

Methods

Plant materials, growth conditions, and inoculation assay

All experiments were performed in rice (Oryza sativa cv. Nipponbare or cv. Nihonmasari) at the 4-leaf stage. OsWRKY45-kd [10], OsNPR1-kd [7] and NahG [17] transgenic plants were generated from Nipponbare as described. Nihonmasari was used only for the analysis of cpm2 mutant analysis. The cpm2 mutant was isolated from γ–ray-mutagenized M2 lines of Nihonmasari as described by Biswas et al. [28]. Unless otherwise noted, plants were cultivated in growth chambers under a 16 h light, 28 °C / 8 h dark, 25 °C regime, light intensity of 200 μmol m⁻²s⁻¹, and 70 % humidity. Roots were treated by dipping with 10 mM L-amino acid, 1 mM SA, 0.5 mM JA, or 0.5 mM ACC (50 mL/plant). In M. oryzae inoculation assays, one of the eighteen amino acids (Glu-Na, Ala, Asp-Na, Cys-HCl, Phe, Gly, His, Ile, Lys-HCl, Leu, Met, Asn, Pro, Gln, Arg, Ser, Thr, or Val; commercially available products) was used. Water was used in mock treatments.

Conidia of rice blast fungus, Japanese isolate KEN53-33 of M. oryzae, were suspended in 0.01 % Tween 20 at a density of 10⁵/mL and sprayed onto rice plants at the four-leaf stage as described [29, 30]). Disease symptoms were evaluated by counting lesions or determining fungal 28S rDNA content in the fourth leaves by qPCR as described [31]. Fungal growth was evaluated from the ratio of M. oryzae 28S rDNA to rice ubiquitin 1 (UBQ) DNA.

Real-time PCR and microarray analysis

Roots were dipped in a solution containing an amino acid or plant hormone. Roots and fourth leaves harvested from 2 plants were pooled, and total RNA was isolated from each pool using an RNeasy plant mini kit (Qiagen). cDNA was generated from 0.5 μg of total RNA with a ReverTra Ace qPCR RT Master Mix reagent kit (Toyobo) according to the manufacturer’s instructions. qPCR was performed on an ABI 7500 Fast Real-time PCR System with ABI Fast SYBR Green Master Mix (Life Technologies). Amplification was performed by two-step PCR with 40 cycles of denaturation at 95 °C for 3 s and extension/detection at 60 °C for 30 s. UBQ (Shimono et al. 2007) and elongation factor 1a (eEF-1a) [32] were used as internal standards for leaves and roots, respectively. Primer sets for PCR (Additional file 3) were tested by dissociation curve analysis and verified to confirm that the absence of non-specific amplification. Gene names which we analyzed by qPCR, are listed in Additional file 3.

For microarray analysis, roots were treated with Glu solution or water as mock, fourth leaves were harvested and pooled as described above. Total RNA was isolated by using an RNeasy plant mini kit (Qiagen). Microarray analysis was performed as described [10] (Shimono et al. 2007).

Availability of supporting data

The data sets supporting the results of this article are included within the article and its additional files. The microarray data supporting the results of this article are available in the NCBI’s Gene Expression Omnibus repository, and are accessible through GEO Series accession number GSE78266 (http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE78266).