Glutamate is an active amino acid. In addition to protein synthesis and metabolism, increasing evidence indicates that glutamate may also function as a signaling molecule in plants. Still, little is known about the nutritional role of glutamate and genes that are directly regulated by glutamate in rice.
Results
Exogenous glutamate could serve as a nitrogen nutrient to support the growth of rice seedlings, but it was not as effective as ammonium nitrate or glutamine. In nitrogen-starved rice seedlings, glutamate was the most abundant free amino acid and feeding of glutamate rapidly and significantly increased the endogenous levels of glutamine, but not glutamate. These results indicated that glutamate was quickly metabolized and converted to the other nitrogen-containing compounds in rice. Transcriptome analysis revealed that at least 122 genes involved in metabolism, transport, signal transduction, and stress responses in the roots were rapidly induced by 2.5 mM glutamate within 30 min. Many of these genes were also up-regulated by glutamine and ammonium nitrate. Still, we were able to identify some transcription factor, kinase/phosphatase, and elicitor-responsive genes that were specifically or preferentially induced by glutamate.
Conclusions
Glutamate is a functional amino acid that plays important roles in plant nutrition, metabolism, and signal transduction. The rapid and specific induction of transcription factor, kinase/phosphatase and elicitor-responsive genes suggests that glutamate may efficiently amplify its signal and interact with other signaling pathways to regulate metabolism, growth and defense responses in rice.
Glutamate and glutamine are the first organic nitrogen compounds derived from the assimilation of nitrate and ammonium in plants. In the primary nitrogen assimilation pathway, nitrate taken up from the soil is reduced to nitrite and ammonium by nitrate and nitrite reductase, respectively. Ammonium derived from nitrate or directly absorbed from the soil can be assimilated into glutamine and glutamate via the glutamine synthetase (GS)/glutamine-oxoglutarate aminotransferase (GOGAT) cycle [1–3]. In addition to the primary nitrogen assimilation pathway, glutamate and glutamine can be synthesized via the remobilization of nitrogen-containing compounds and the assimilation of large amounts of ammonium generated by photorespiration in C3 plants [4]. Thus, glutamate and glutamine are closely related in metabolism. Besides glutamine, glutamate can be derived from other amino acids of the glutamate family such as arginine, ornithine, and proline in the plant cell [5].
In addition to protein synthesis, glutamate has many important functions in plants. For instance, glutamate is a major amino donor for the synthesis of amino acids and other nitrogen-containing compounds in plants [5]. The α-amino group of glutamate can be transferred to a wide variety of α-keto acids to form amino acids, which are catalyzed by reversible pyridoxal-5′-phosphate-dependent aminotransferases. In addition to transamination reactions, glutamate can be directly converted to α-ketoglutarate, which is mainly catalyzed by glutamate dehydrogenase (GDH) in plants [5]. The active conversion between glutamate and α-ketoglutarate provides a direct link between nitrogen and carbon metabolism in the cell.
In addition to primary carbon and nitrogen metabolism, glutamate is required for the synthesis of glutathione (GSH), a linear tripeptide of glutamate, cysteine, and glycine and a major intracellular antioxidant in virtually all organisms [6]. Glutamate is also a precursor for the synthesis of photosynthetic pigment chlorophyll. In addition, glutamate can be converted to γ-aminobutyrate (GABA) via glutamate decarboxylase (GDC). GABA is a non-protein amino acid that rapidly accumulates in response to biotic and abiotic stress to modulate plant growth [7–9]. Increasing evidence indicates that GABA may exert its effects in plants through the regulation of carbon metabolism as well as signaling pathways [7–11]. Glutamate also plays an important role in the synthesis of functional folate (vitamin B9), which is a cofactor for one-carbon metabolism. Folate is predominantly decorated with a polyglutamate tail. The addition of polyglutamate to folate may enhance its co-enzyme affinity, subcellular compartmentation and stability [12].
In humans, glutamate and its metabolite GABA are important neurotransmitters in the central nervous system. Glutamate mainly employs its action through glutamate receptors [13], which also exist in non-neuronal tissues [14–16]. Thus, the functions of glutamate signaling may go beyond the nervous system [14–16]. Interestingly, plants also have glutamate receptor (GLR) homologs [17]. There are 20 GLR genes grouped into three clades in the model plant Arabidopsis thaliana [18]. The functions of these GLRs have just begun to be elucidated. Accumulating evidences suggest that plant GLRs may not have ligand specificity [19]. For instance, AtGLR1.4 is an ion channel gated by multiple hydrophobic amino acids but not glutamate [20]. Thus, GLRs may have evolved to have diverse functions in plants. Nevertheless, the discovery of GLR homologs has laid the foundation for the assessment of glutamate sensing and signaling in plants.
Glutamate has been implicated to modulate calcium signaling [21] and root system architecture [22, 23]. Glutamate inhibits primary root growth and stimulates the outgrowth of lateral roots near the primary root tip in Arabidopsis [22]. This phenomenon is specific to glutamate, as structurally or metabolically related amino acids Asp, Gln, and D-Glu do not have similar effects [22]. A recent study further demonstrated that a MAP kinase kinase kinase (MEKK1) is involved in glutamate signaling pathway responsible for inducing changes in Arabidopsis root system architecture [24]. The MAP kinase cascade plays an important role in both biotic and abiotic stress signaling networks [25]. The identification of MEKK1 in glutamate signaling raises an interesting question whether amino acid signaling interacts with biotic and abiotic stress signaling in plants. Recently, exogenous glutamate (10 mM) has been shown to induce systemic disease resistance in rice but the underlying molecular mechanisms are still unknown [26].
While glutamate has been shown to serve as an external signal to affect root growth and development in the most sensitive Arabidopsis accession C24 at a very low concentration (50 μM) [22], most studies on the effects of glutamate on the growth of seedlings or suspension cultures use 1–10 mM or even higher concentrations of glutamate [19]. It has been demonstrated that feeding of 20 or 40 mM glutamate to tobacco plants has limited effect on the endogenous glutamate pool [27, 28]. Feeding of 100 mM glutamate induces the expression of glutamate metabolic genes cytosolic glutamine synthetase (GS1) and glutamate dehydrogenase (GDH) in tobacco leaf discs [29]. Together with studies on glutamate metabolism related enzymes using inhibitors, mutants, overexpression and antisense lines, it has been proposed that plants may have mechanisms to maintain glutamate homeostasis [5]. GS and GDH may be responsible for maintaining a constant concentration of glutamate in plants [30].
Amino acids have been shown to act as signals to regulate gene expression in yeast and animals [31, 32]. It is somewhat surprising that relatively few studies have focused on the effects of exogenous amino acids on plant gene expression [19]. We have previously shown that glutamine can effectively support rice seedling growth when supplemented as the sole nitrogen source in hydroponics [33]. In addition to its role in plant nutrition, glutamine can rapidly induce the expression of key transcription factor genes involved in nitrogen and stress responses in rice roots [33, 34]. These findings support the notion that amino acid signaling pathways may crosstalk with biotic and abiotic signaling networks in plants. Although glutamate and glutamine are closely related in structure and metabolism, these two amino acids may have distinct signaling effects. Here, we examined the nutritional effects of glutamate on rice seedlings. We also used transcriptome analysis to identify genes that were rapidly induced by glutamate in rice roots. Some of the early glutamate-responsive genes identified here may be involved in glutamate signaling in plants.
Results
Exogenous glutamate can support rice seedling growth
Glutamate occupies a central position in plant metabolism and serves as a precursor for many important compounds (Additional file 1: Figure S1). To examine the nutritional effect of glutamate, we grew rice seedlings in hydroponics supplemented with different concentrations of glutamate as the sole nitrogen source (Fig. 1). Feeding of 0.1 mM glutamate did not significantly (one-way ANOVA followed by Tukey’s test, P < 0.05) improve the growth of rice seedlings (Fig. 1a,b), and the chlorophyll content only increased slightly (Fig. 1c) as compared with those of seedlings grown in the absence of nitrogen. The shoot length of rice seedlings grown in 0.5 and 1 mM glutamate was significantly longer than that grown in the absence of nitrogen, but was still shorter than that grown in 1.43 mM NH4NO3 (Fig. 1a,b). Supplementation of 2.5, 5, or 10 mM glutamate in the hydroponics inhibited shoot growth as compared with that of 0.5 or 1 mM glutamate (Fig. 1a,b). The root length of rice seedlings grown in 0.1 mM glutamate was similar to that of seedlings grown in the absence of nitrogen (Fig. 1a,b). Feeding of 0.5, 1, 2.5, 5, or 10 mM glutamate in the hydroponics increasingly inhibited root growth as compared with that of 1.43 mM NH4NO3 (Fig. 1a,b). Although glutamate was not as effective as ammonium nitrate in supporting rice seedling growth, the chlorophyll content in seedlings grown in 0.5-10 mM glutamate was comparable to that of seedlings grown in 1.43 mM NH4NO3 (Fig. 1c).
Fig. 1
Glutamate as a nitrogen nutrient to support rice seedling growth. a Rice seedlings grown in hydroponics containing NH4NO3 or glutamate as the nitrogen source. Shoot length, root length (b), and chlorophyll contents (c) of rice seedlings from (a). The rice seedlings are 17-day-old. Data are means ± SD (n = 40). Different letters indicate significant differences between treatments, tested by one-way ANOVA followed by Tukey’s test (P < 0.05). +N, + 1.43 mM NH4NO3; −N, no nitrogen
Slow uptake of glutamate in nitrogen-starved rice seedlings
To examine if rice seedlings could effectively take up glutamate, 17-day-old nitrogen-starved rice seedlings were transferred to hydroponics containing 2.5 mM glutamate for 0–24 h. The content of glutamate left in the growth medium was measured during the time course of glutamate feeding. The amount of glutamate left in the growth medium only decreased slightly after 0.25-8 h of treatment (Fig. 2a). Approximately 20% and 50% of the glutamate supplemented in the hydroponics were consumed after 16 h and 24 h of treatment, respectively (Fig. 2a).
Fig. 2
Amino acid contents in the growth medium and rice roots during the time course of glutamate treatment. 17-day-old nitrogen-starved rice seedlings were transferred to hydroponics containing 2.5 mM glutamate for 24 h. a The contents of glutamate left in the hydroponics were measured over the 24-h time course. b Contents of glutamate, glutamine, aspartate, alanine, serine, and asparagine in the roots were measured during the time course of glutamate treatment. Fold change indicates the relative amounts of amino acids in 2.5 mM glutamate-treated roots (0.25-24 h) compared to those of control (0 h). Data are means ± SD (n = 5). Different letters indicate significant differences between treatments, tested by one-way ANOVA followed by Tukey’s test (P < 0.05)
Glutamate is rapidly converted to other amino acids in the roots
After taken up by the nitrogen-starved rice seedlings, glutamate may be converted to other nitrogen-containing compounds. We analyzed the levels of free amino acids in the roots during the time course of glutamate treatment. The levels of glutamate, aspartate, serine, glutamine, asparagine, and alanine increased significantly (one-way ANOVA followed by Tukey’s test, P < 0.05) after 24 h of glutamate treatment as compared to the untreated control (Fig. 2b, Additional file 1: Table S1). By contrast, the amounts of the other proteinogenic amino acids did not change significantly (data not shown). Interestingly, feeding of glutamate to nitrogen-starved rice seedlings did not significantly increase the endogenous levels of glutamate within 30 min (Fig. 2b). Glutamate in the roots started to accumulate to a higher level after feeding for 1 h and increased to about 2.5-fold of control levels after 4 h of glutamate treatment (Fig. 2b). Although the exogenous amount of glutamate in the growth medium decreased significantly after 8–24 h (Fig. 2a), the endogenous levels of glutamate in the roots did not further increase after 8–24 h of glutamate treatment (Fig. 2b). These results suggest that the glutamate taken up by the rice seedlings may be constantly converted to the other nitrogen-containing compounds in the roots.
The amount of glutamine, aspartate and alanine increased rapidly after 15 min of glutamate treatment (Fig. 2b). Feeding of glutamate to nitrogen-starved rice seedlings significantly increased the endogenous levels of glutamine after 15–30 min (Fig. 2b). The amount of glutamine in the roots increased to about 3-fold after 1 h, ~5-fold after 4 h, and continued to increase to ~10-fold of control levels after 8–24 h of glutamate treatment (Fig. 2b). Similar trend was observed in changes of alanine levels during the time course of glutamate treatment. The amount of alanine increased to about 2.5- to 3-fold after 4–8 h, and continued to increase to ~8-fold of control levels after 16–24 h of glutamate treatment (Fig. 2b). Feeding of glutamate to nitrogen-starved rice seedlings rapidly enhanced the accumulation of aspartate within the first hour, and the levels of aspartate increased to about 2- to 3.3-fold of control levels after 4–24 h of glutamate treatment (Fig. 2b).
By contrast, feeding of glutamate to nitrogen-starved rice seedlings did not significantly increase the amount of serine in the roots within the first 4 h (Fig. 2b). The levels of serine increased to about 2- to 3-fold of control levels after 8–24 h of glutamate treatment (Fig. 2b). The amount of asparagine was low in nitrogen-starved seedlings, and feeding of glutamate for 0.25-4 h did not significantly increase the levels of asparagine in the roots (Fig. 2b). The amount of asparagine started to increase significantly (~12-fold) after 8 h of glutamate treatment, and continued to increase to ~16-fold after 16 h, and ~20-fold of control levels after 24 h (Fig. 2b).
Identification of early glutamate-responsive genes in rice seedlings
In addition to nutritional effects, we attempted to explore the signaling role of glutamate in the regulation of gene expression in rice. To identify genes that were rapidly induced by glutamate, we used microarray analysis to compare the gene expression profiles between rice seedlings treated with 2.5 mM glutamate for 30 min and the untreated control. Analysis of the microarray data with 2-fold cutoff revealed that the expression of 156 genes was rapidly regulated by glutamate in the roots. Of the 156 genes, including 151 up- and 5 down-regulated, we were able to confirm the up-regulation of 122 genes (Table 1), and none of the down-regulated genes could be verified by qRT-PCR (see below). In contrast to roots, the microarray data did not identify any genes that were rapidly induced by glutamate in the shoots (2-fold cutoff, data not shown). This is consistent with the finding that levels of free amino acids did not change significantly (Student’s t-test, P < 0.05) in the shoots after 30 min of glutamate treatment (Additional file 1: Figure S2A). Unexpectedly, the treatment also did not significantly increase the levels of glutamate in the roots, while the amounts of glutamine, aspartate, and alanine increased slightly (Additional file 1: Figure S2B).
Table 1
List of early glutamate-responsive genes in rice roots
No.
Locus ID
Fold change (+ Glu/- N)
Gene description
1a
Os03g0236200
LOC_Os03g13300
9.6
Glutamate decarboxylase 1, GDC1
2
Os08g0508800
LOC_Os08g39840
5.4
Herbivore induced 13-lipoxygenase, HI-LOX
3
Os12g0518200
LOC_Os12g33300
5.1
EamA-like transporter family
4
Os04g0618400
LOC_Os04g52750
5.1
Unknown
5a
Os03g0823400
LOC_Os03g60840
4.7
Bowman-Birk type trypsin inhibitor, BBTI13
6
Os09g0401000
LOC_Os09g23620
4.6
MYB family transcription factor
7a
Os05g0402900
LOC_Os05g33400
4.3
Xylanase inhibitor I-like
8
Os01g0186900
LOC_Os01g09220
4.2
Putative nuclease HARBI1
9
Os08g0457200
LOC_Os08g35580
4.2
Unknown
10
Os05g0373300
LOC_Os05g30970
3.9
Copine-like protein; similar to BONZAI1
11
Os01g0952900
LOC_Os01g72360
3.8
Unknown
12
Os01g0705200
LOC_Os01g50910
3.7
Late embryogenesis abundant protein, group 3
13
Os12g0181500
LOC_Os12g08090
3.7
Amino acid permease 16, AAP16
14
Os01g0666000
LOC_Os01g47580
3.6
Lipid phosphate phosphatase 2
15
Os03g0318400
LOC_Os03g20290
3.6
Aspartic proteinase nepenthesin-1
16a
Os04g0301500
LOC_Os04g23550
3.6
Transcription factor bHLH35, RERJ1
17
Os02g0269600
LOC_Os02g16940
3.6
Subtilisin-like protease SBT3.5
18
Os09g0565300
LOC_Os09g39190
3.5
E3 ubiquitin-protein ligase RGLG1
19
Os10g0542900
LOC_Os10g39680
3.5
Chitinase 8
20
Os02g0605900
LOC_Os02g39330
3.4
Chitinase 6
21
Os09g0551000
LOC_Os09g37834
3.3
G-type lectin S-receptor-like protein kinase RKS1
22a
Os01g0845100
LOC_Os01g62670
3.3
Protein of unknown function DUF668
23
Os11g0213800
LOC_Os11g10770
3.2
NBS-LRR disease resistance protein
24
Os03g0302800
LOC_Os03g19070
3.2
Unknown
25a
Os02g0687200
LOC_Os02g46210
3.1
Protein of unknown function DUF581
26
Os01g0905300
LOC_Os01g67820
3.1
Exo70 exocyst complex subunit
27
Os10g0497700
LOC_Os10g35460
3.1
COBRA-like protein 4
28
Os02g0733900
LOC_Os02g50110
3.1
Unknown
29
Os04g0585000
LOC_Os04g49550
3.0
RING-H2 finger protein ATL44
30
Os05g0516700
LOC_Os05g44060
3.0
Unknown
31a
Os03g0187800
LOC_Os03g08880
3.0
Purine permease 3, PUP3
32
Os04g0647900
LOC_Os04g55420
3.0
LRR receptor-like serine/threonine protein kinase GSO1
Leucine-rich repeat receptor-like protein kinase SOBIR1
117
Os02g0299300
LOC_Os02g19650
2.0
Putative aminoacrylate hydrolase RutD
118a
Os07g0589000
LOC_Os07g40000
2.0
LOB domain containing protein, LBD37-like
119
Os03g0285800
LOC_Os03g17700
2.0
MAP Kinase 5
120
Os06g0292400
LOC_Os06g18900
2.0
Unknown
121
Os08g0492500
LOC_Os08g38460
2.0
Probable E3 ubiquitin-protein ligase XERICO
122a
Os08g0386200
LOC_Os08g29660
2.0
WRKY69
Total RNA extracted from 17-day-old rice seedlings grown in hydroponic solution without nitrogen (−N) or treated with 2.5 mM glutamate for 30 min (+ Glu) was used for microarray analysis. aIndicates genes that are also rapidly induced by glutamine [33]. The results were derived from two biological replicates
We used gene ontology (GO) category enrichment analysis to classify the biological functions of 122 genes up-regulated by glutamate in rice roots. In biological process, the GO terms “metal ion transport”, “protein amino acid phosphorylation”, and “amine metabolic process” were significantly (false discovery rate value, FDR < 0.05) enriched (Fig. 3a). In cellular component, the GO term “membrane” was enriched (Fig. 3b). In molecular function, the GO terms “hydrolase activity”, “protein kinase activity”, “active transmembrane transporter activity”, “cation transmembrane transporter activity”, “ATP binding” and “calcium ion binding” were significantly enriched (Fig. 3c). Some of the glutamate up-regulated genes in representative functional categories were listed in Additional file 1: Table S2.
Fig. 3
Gene ontology enrichment analysis of genes up-regulated by glutamate. The differentially expressed genes were analyzed by singular enrichment analysis using AgriGO. Significantly enriched GO categories in biological process (a), cellular component (b), and molecular function (c) are shown in yellow, orange, and red boxes (false discovery rate, FDR < 0.05). Each box contains GO term number, the FDR value, GO term, and number associated with the GO term in the query list and glutamate up-regulated genes (119 GO terms) as well as total number of query list and reference background (54971 GO terms). The GO terms “primary metabolic process”, “transporter activity” and “protein kinase activity” are significantly enriched in glutamate-responsive genes
In addition, we also performed Kyoto encyclopedia of genes and genomes (KEGG) analysis. Of the 122 up-regulated genes, 33 genes were annotated with KEGG orthology (KO) terms. A list of these genes, the associated KO number and KEGG pathways were shown in Additional file 1: Table S3. We further performed KEGG pathway enrichment analysis and the result indicated that “glycerophospholipid metabolism” and “ABC transporters” were enriched (Additional file 1: Table S4). Since the gene count was very low, 2 in “glycerophospholipid metabolism” and only 1 in “ABC transporters”, the result of KEGG pathway enrichment analysis might not be meaningful. Nevertheless, the results of GO and KEGG analyses suggest that glutamate feeding for 30 min can rapidly trigger the expression of genes involved in metabolism, transport and signaling in rice roots.
The functions of the early glutamate-responsive genes are very diverse. Of the 122 genes identified, at least 11 genes encode putative transcription factors. The Os07g0589000 gene encodes a homolog of Arabidopsis LBD37 that is involved in the regulation of nitrogen response [35]. CIGR2 (Os07g0583600), an elicitor-responsive gene, encodes a GRAS family protein that has been shown to suppress cell death in rice [36]. NAC5 (Os11g0184900), no apical meristem protein 5, is involved in abiotic stress responses [37–39]. The expression of Os04g0301500 (basic helix-loop-helix 35, bHLH35) is rapidly induced by jasmonate, and thus has been named RERJ1 [40–42]. The other glutamate-responsive transcription factor genes include Os09g0401000 (MYB family protein), Os01g0705700 (bHLH13), Os02g0764700 (ERF109), Os11g0154500 (NAC90), Os09g0455300 (bHLH, similar to HECATE1), Os07g0119300 (MYB family protein), and Os08g0386200 (WRKY69).
The expression of Os03g0236200 (glutamate decarboxylase 1, GDC1) and Os04g0543900 (glutamate dehydrogenase 2, GDH2) was rapidly induced by glutamate (Table 1). The enzymes encoded by these two genes are directly involved in glutamate metabolism. In addition to genes related to metabolism and transport, many genes involved in signal transduction, growth regulation, defense and stress responses were also rapidly induced by glutamate (Table 1). For instance, the expression of several genes encoding kinases, phosphatases, and calcium signaling related proteins was rapidly induced by glutamate (Table 1). The cell wall associated kinases (WAKs) may serve as pectin receptors to regulate plant growth and stress responses [43, 44]. Interestingly, glutamate rapidly induced the expression of several WAK genes (Table 1). The indole-3-acetic acid-amido synthetase OsGH3.8 functioning in auxin-dependent development can promote salicylate- and jasmonate-independent basal immunity in rice [45]. The expression of OsGH3.8 (Os07g0592600) was rapidly and strongly induced by different concentrations of glutamate (Table 1, Additional file 1: Figure S3, no. 41). Several defense-related genes such as herbivore induced 13-lipoxygenase (HI-LOX, Os08g0508800), chitinase 6 (Os02g0605900) and 8 (Os10g0542900) were also rapidly induced by glutamate (Table 1).
Regulation of early glutamate-responsive genes by different concentrations of glutamate
To verify the microarray data, total RNA extracted from 17-day-old rice seedlings treated with 0–5 mM glutamate for 30 min was used for qRT-PCR analysis. We were able to confirm that glutamate (2.5 mM, 30 min) could induce the expression of 122 genes for more than 2-fold as compared to the untreated control. The effects of different concentrations of glutamate on the expression of these genes are shown in Fig. 4 and Additional file 1: Figure S3. In addition to verifying the microarray data, the results could also reveal the sensitivity and dosage dependence of these genes to glutamate. For instance, the expression of Os09g0401000 (MYB family protein), Os04g0301500 (bHLH35) and Os02g0764700 (ERF109) was very sensitive to glutamate as treatment of 0.1 mM glutamate for 30 min resulted in greater than 5-fold induction in these genes as compared to the untreated control (Fig. 4). The other genes that are sensitive to glutamate induction include Os03g0236200 (GDC1), Os01g0705200 (late embryogenesis abundant protein), Os12g0181500 (amino acid permease 3), Os02g0687200 (unknown), Os07g0592600 (OsGH3.8), Os01g0720400 (inorganic pyrophosphatase 1), Os11g0474533 (unknown), Os02g0627100 (phenylalanine ammonia-lyase), and Os09g0482800 (EF-hand domain containing protein). The expression of these genes was strongly induced by 0.1 mM glutamate and stayed at high levels (>5-fold) or continued to increase when treated with higher concentrations of glutamate as compared to the untreated control (Additional file 1: Figure S3).
Fig. 4
Regulation of glutamate-responsive transcription factor genes by different concentrations of glutamate. 17-day-old nitrogen-starved rice seedlings were transferred to hydroponics containing 0, 0.1, 0.5, 1, 2.5 and 5 mM glutamate for 30 min. Total RNA extracted from roots was used for qRT-PCR to analyze the expression of 11 glutamate-responsive transcription factor genes. The number of each gene corresponds to the number in Table 1. Relative expression indicates the fold-change of each gene as compared to that of control
Regulation of glutamate-responsive transcription factor genes by different nitrogen
To further examine if the response was specific to glutamate, we compared the effects of glutamate, glutamine, and ammonium nitrate on the expression of 11 glutamate-responsive transcription factor genes. Total RNA extracted from nitrogen-starved rice seedlings treated with 2.5 mM glutamate, glutamine, or 1.43 mM ammonium nitrate for 15 min to 24 h was used for qRT-PCR analysis. The results revealed that glutamine and ammonium nitrate could rapidly induce the expression of many glutamate-responsive transcription factor genes in the roots (Fig. 5). Among these transcription factor genes, the expression of bHLH35 (Os04g0301500) was rapidly and strongly induced by glutamate (~90-fold, 15 min; ~160-fold, 30 min; ~230-fold, 1 h) but was not or only slightly induced by glutamine and ammonium nitrate (Fig. 5a). The expression of MYB (Os09g0401000), bHLH13 (Os01g0705700) and NAC90 (Os11g0154500) was preferentially induced by glutamate within 15–30 min of treatments (Fig. 5a). By contrast, the expression of another MYB (Os07g0119300) was rapidly and preferentially induced by ammonium nitrate (Fig. 5b). The expression of CIGR2 (Os07g0583600) was strongly induced by ammonium nitrate after treatment for 30 min (Fig. 5b). Although the expression of NAC5 (Os11g0184900) and WRKY69 (Os08g0386200) was induced by all nitrogen treatments, ammonium nitrate seemed to have stronger effects on the induction of these genes (Fig. 5b). While ammonium nitrate had little effect on the induction of ERF109 (Os02g0764700), glutamate and glutamine rapidly and strongly induced the expression of ERF109 (Fig. 5c). The expression of HEC1 (Os09g0455300) and LBD37 (Os07g0589000) was preferentially induced by glutamine (Fig. 5c).
Fig. 5
Effects of glutamine and NH4NO3 on the expression of glutamate-responsive transcription factor genes bHLH35, MYB (Os09g0401000), bHLH13, NAC90 (a), MYB (Os07g0119300), CIGR2, NAC5, WRKY69 (b), ERF109, HEC1 and LBD37 (c). 17-day-old nitrogen-starved rice seedlings were transferred to hydroponics containing 2.5 mM glutamate, glutamine, or 1.43 mM NH4NO3 for 0, 15 min, 30 min, 1, 4, and 24 h. Total RNA extracted from roots was used for qRT-PCR to analyze the expression of 11 glutamate-responsive transcription factor genes. The number of each gene corresponds to the number in Table 1. Relative expression indicates the fold-change of each gene as compared to that of control
Identification of genes that are specifically induced by glutamate
The discovery that the expression of bHLH35 (Os04g0301500), MYB (Os09g0401000), bHLH13 (Os01g0705700) and NAC90 (Os11g0154500) was specifically or preferentially induced by glutamate prompted us to examine the expression of the other 111 glutamate-responsive genes under glutamate, glutamine and ammonium nitrate time course treatments. The expression of many glutamate-responsive genes was also rapidly induced by glutamine and ammonium nitrate as compared with that of nitrogen-starved rice seedlings (Additional file 1: Figure S4). However, the expression patterns and the amounts of transcripts accumulated in response to different nitrogen sources varied from gene to gene. Of the additional 111 genes examined, the expression of at least 12 genes was strongly and preferentially induced by glutamate (Fig. 6). Interestingly, except the unknown function genes, most of the genes preferentially induced by glutamate, e.g. Os08g0508800 (HI-LOX), Os01g0666000 (lipid phosphate phosphatase 2), Os10g0542900 (chitinase 8), Os09g0471800 (WAK 85), Os03g0203700 (calcium transporting ATPase 2), Os12g0198200 (phosphatase 2C), are related to signal transduction or defense responses (Fig. 6a).
Fig. 6
qRT-PCR analyses of genes that are specifically or preferentially induced by glutamate. 17-day-old rice seedlings grown in hydroponics without nitrogen were subsequently transferred to medium containing 2.5 mM glutamate, glutamine, or 1.43 mM NH4NO3 for 0, 15 min, 30 min, 1, 4, and 24 h. Total RNA extracted from roots was used for qRT-PCR to analyze the expression of Os08g0508800 (herbivore induced 13-lipoxygenase, HI-LOX), Os01g0666000 (lipid phosphate phosphatase 2, LPP2), Os10g0542900 (chitinase 8, CHT8), Os09g0471800 (wall associated kinase 85, WAK85), Os03g0203700 (calcium transporting ATPase 2, CaATP2), Os12g0198200 (phosphatase 2C, PP2C) (a), Os12g0518200 (EamA-like transporter), Os01g0905300 (exocyst 70 subunit, EXO70) (b), and four unknown function genes Os04g0618400, Os01g0952900, Os03g0302800 and Os12g0248600 (c). The number of each gene corresponds to the number in Table 1. Relative expression indicates the fold-change of each gene as compared to that of control
The expression of Os12g0518200 (EamA-like transporter) and Os01g0905300 (exocyst 70 subunit) was rapidly and preferentially induced by glutamate (Fig. 6b). The functions of these two genes are related to transport and secretion. The expression of at least 4 unknown function genes, e.g. Os04g0618400, Os01g0952900, Os03g0302800 and Os12g0248600, was specifically or preferentially induced by glutamate (Fig. 6c).
Glutamate rapidly induces the expression of GDC1
It is interesting that the expression of Os03g0236200 (GDC1) has the strongest induction (9.6-fold) by glutamate in the microarray analysis (Table 1). Treatment of different concentrations of glutamate (0.1-5 mM, 30 min) revealed that the expression of GDC1 was very sensitive to glutamate as treatment of 0.1 mM glutamate already significantly induced the expression of GDC1 (5.8-fold) as compared to the untreated control in the roots (Fig. 7a). Furthermore, the effect of glutamate on the induction of GDC1 is dosage dependent, e.g. the induction is stronger as the concentration of glutamate increases (Fig. 7a). In addition, the results of glutamate time course treatments revealed that glutamate rapidly and strongly induced the expression of GDC1 (Fig. 7b). The amount of GDC1 transcripts increased approximately 20–30 folds after 0.5-1 h of 2.5 mM glutamate treatment as compared to the levels of the untreated control (Fig. 7b). The function of GDC is to convert glutamate to GABA. To further examine if the induction of GDC1 might contribute to the accumulation of GABA, we measured the amount of GABA in the seedlings during the time course of glutamate treatment. In contrast to the rapid induction of the GDC1 gene, the content of GABA did not increase significantly after 0.25 to 8 h of glutamate treatments as compared to the levels of the untreated control in the roots. The amount of GABA increased significantly (~5-7 folds) until 16 to 24 h of glutamate treatments (Fig. 7c).
Fig. 7
Effects of glutamate on the expression of GDC1 and accumulation of GABA. qRT-PCR analysis of GDC1 from roots of 17-day-old rice seedlings treated with different concentrations of glutamate for 30 min (a), or treated with 2.5 mM glutamate for 0.25-24 h (b). Relative expression indicates the fold-change of each gene as compared to that of control. c The amounts of GABA in the roots. 17-day-old nitrogen-starved rice seedlings were transferred to hydroponics containing 2.5 mM glutamate for 24 h. The amounts of GABA in the roots were measured during the time course of glutamate treatments. Fold change indicates the relative amount of GABA compared to that of control (0 h). Data are means ± SD (n = 4). Different letters indicate significant differences between treatments, tested by one-way ANOVA followed by Tukey’s test (P < 0.05)
Discussion
Nutritional effect of glutamate on rice
Although glutamate and glutamine are closely related, exogenous glutamine appears to be more effective than glutamate in supporting rice seedling growth. We previously showed that supplementation of 0.1 mM glutamine could significantly improve the growth of rice seedlings in hydroponics [33]. Here, we demonstrated that feeding of 0.1 mM glutamate had little effect and supplementation of 0.5 mM glutamate could significantly enhance rice seedling growth comparable to that of 0.1 mM glutamine (Fig. 1) [33]. The optimal concentration of exogenous glutamate to support rice seedling growth is around 0.5-1 mM. When the supplemented glutamate exceeds this amount, the excess glutamate will inhibit the growth of rice seedlings. Together, these results support the notion that glutamate can serve as a nitrogen nutrient, but it is not as effective as ammonium nitrate or glutamine.
As leaf nitrogen content and chlorophyll concentration are closely linked, the level of leaf chlorophyll is commonly used as an indicator of endogenous nitrogen status. The chlorophyll contents in rice seedlings grown in 2.5-10 mM glutamate were similar to those grown in ammonium nitrate. These results suggest that the rice seedlings grown in 2.5-10 mM glutamate can efficiently synthesize chlorophylls and do not have symptoms of nitrogen deficiency. Thus, the inhibitory effects of 2.5-10 mM glutamate on the growth of rice seedling are likely caused by over nutrition or glutamate toxicity, rather than nitrogen deficiency.
We previously showed that glutamine could be rapidly taken up by nitrogen-starved rice seedlings and was almost used up in hydroponics after 24 h of feeding [33]. Here, we performed a similar experiment and found that nitrogen-starved rice seedlings could not consume glutamate as effectively as glutamine. After feeding of glutamate to nitrogen-starved rice seedlings for 24 h, approximately 50% of the supplemented glutamate was still left in the growth medium (Fig. 2a). These results suggest that rice seedlings may have different mechanisms to absorb glutamine and glutamate. In Arabidopsis, four amino acid transporters, e.g. AAP1, AAP5, ProT2, and LHT1, have been shown to play a role in amino acid uptake by the root [46]. By contrast, amino acid transporters have been rarely studied in monocots [47]. Recently, analysis of rice amino acid permeases reveals that OsAAP1, OsAAP7 and OsAAP16 function as general amino acid permeases and transport all amino acids well except aspartate and β-alanine, whereas OsAAP3 has a distinct substrate specificity that prefers neutral and basic amino acids [48]. Interestingly, these rice AAPs all have better specificity to glutamine than glutamate [48]. It is likely that rice roots may have a more efficient transport system to take up glutamine than glutamate, which is consistent with our hydroponic feeding results.
Glutamate homeostasis in rice seedlings
Glutamate is the most abundant free amino acid in nitrogen-starved rice seedlings (Additional file 1: Figure S2). Interestingly, feeding of 2.5 mM glutamate to nitrogen-starved rice seedlings did not significantly increase the amount of endogenous glutamate within the first hour. The glutamate content increased to approximately 2.5-fold of control after 4–24 h of feeding, which are relatively small as compared to those of glutamine (~10-fold) and GABA (~7-fold), two nitrogen-containing compounds directly linked to glutamate metabolism. Asparagine is a relative inert amino acid. Levels of asparagine increased to ~ 20-fold of control after 24 h of glutamate feeding. Asparagine and glutamine have high nitrogen to carbon ratios that play important roles in nitrogen storage and transport in plants. The accumulation of these amino acids indicates that the rice seedlings are not deficient of nitrogen after several hours of glutamate feeding.
We previously showed that feeding of glutamine to nitrogen-starved rice seedlings resulted in rapid and dramatic accumulation of glutamine, but not glutamate, in the roots [33]. Here, we demonstrated that feeding of glutamate also resulted in dramatic increases of glutamine, but not glutamate. These results suggest that glutamate, a very active amino acid, either directly absorbed from the environment or derived from glutamine, will be quickly metabolized to other nitrogen-containing compounds in plants. In addition to its critical role in metabolism, glutamate may also function as a signaling molecule to regulate plant growth and development. Thus, it is important for plants to maintain the homeostasis of glutamate as dramatic fluctuations of glutamate may have detrimental effects on plant metabolism, growth and development. It is not clear how plants maintain the homeostasis of glutamate. The rapid induction of glutamate metabolic genes such as GDC1 (Os03g0236200) and GDH2 (Os04g0543900) observed in this study may represent one of the strategies to maintain glutamate homeostasis. Still, other mechanisms involved in the regulation of glutamate homeostasis have yet to be uncovered in plants.
Glutamate can trigger an elicitor-like response in plants
It is unexpected that many genes related to defense responses are rapidly induced by glutamate. For instance, the elicitor-responsive gene CIGR2 encodes a transcriptional activator that is involved in hypersensitive response during pathogen infection [36]. The JA responsive gene bHLH35 (RERJ1) is involved in disease resistance and drought tolerance [41, 49]. Herbivore-induced 13-lipoxygenase (OsHI-LOX) has been demonstrated to be involved in defense response [50]. The indole-3-acetic acid–amido synthetase GH3.8 is involved in salicylate- and jasmonate-independent basal immunity in rice [45]. Several wall-associated kinases are involved in basal defense against rice blast fungus [44]. Glutamate rapidly induced the expression of CIGR2, OsHI-LOX, OsGH3.8, WAKs and defense-related genes encoding trypsin inhibitor, xylanase inhibitor, aspartic proteinase, subtilisin-like protease, chitinase, and disease-related receptor-like protein kinases (Table 1). Glutamate also rapidly induced the expression of stress-related genes encoding late embryogenesis abundant (LEA) protein, E3 ubiquitin-protein ligase, heavy metal transport domain-containing protein, MATE efflux protein, phytocyanin, and glycosyl hydrolase (Table 1). The rapid induction of these defense- and stress-related genes suggests that glutamate may trigger an elicitor-like response in rice seedlings.
Interestingly, exogenous glutamate has been shown to induce systemic disease resistance in rice [26]. It is conceivable that glutamate may have a role similar to an elicitor or the exogenous glutamate may affect the cell wall and triggers an elicitor-like response in the plant cell. Glutamate or changes in the cell wall caused by exogenous glutamate may be perceived by receptor or sensor proteins located on the cell surface, which in turn transmit the signal to the nucleus to regulate the expression of defense-related genes. Alternatively, the endogenous glutamate or metabolites derived from glutamate may be directly involved in the regulation of defense-related genes.
In addition to defense and stress-related genes, glutamate also rapidly induced the expression of genes involved in metabolism, transport, growth and signal transduction.
Some of the early glutamate-responsive genes encode membrane/wall receptors, transporters, calcium signaling proteins, protein kinases/phosphatases, and transcription factors (Table 1, Additional file 1: Table S2), which may be involved in glutamate sensing and signaling in rice roots. Although the expression of glutamate receptor genes is not rapidly induced by glutamate (Additional file 1: Table S5), we cannot exclude the possibility that the glutamate signaling pathways are mediated by GLRs to regulate gene expression in rice roots. Still, glutamate may employ its signaling functions through GLR independent pathways. Some of the early glutamate-responsive genes identified in this study may be involved in the GLR dependent or independent pathways.
Interactions between glutamate and glutamine signaling pathways
Glutamate and glutamine are closely related in structure and metabolism. Although glutamine is more effective in serving as a nitrogen nutrient, glutamate has more profound effects on the regulation of gene expression in rice seedlings. Glutamine rapidly induces the expression of ~35 genes [33], whereas glutamate induces the expression of at least 122 genes in rice roots. Some of the glutamate-induced genes are specifically related to glutamate metabolism and transport. For instance, the expression of GDH2 and several transporter genes is induced by glutamate (Table 1). Glutamine induces the expression of glutamine dumper genes [33], which are not induced by glutamate. An unexpected common theme is that both glutamate and glutamine rapidly induce the expression of stress response genes. Glutamate, in particular, affects more genes related to defense function. Further studies on this newly emerging theme, e.g. amino acids and defense response, promise to provide new insights into the molecular mechanism of amino acid signaling in plants.
Still, the microarray data revealed that glutamate and glutamine commonly induced the expression of 17 genes (Table 1). Most of the commonly induced genes are not directly involved in metabolism. Interestingly, 5 of the 17 commonly induced genes encode putative transcription factors, e.g. bHLH35 (Os04g0301500), MYB (Os07g0119300), NAC5 (Os11g0184900), LBD37-like (Os07g0589000), and WRKY69 (Os08g0386200). It is possible that glutamate and glutamine may share some components in the signaling pathways to regulate plant growth and stress responses. Alternatively, some of the glutamate effects may be indirectly caused by glutamine as treatment of exogenous glutamate rapidly and significantly increases the amount of endogenous glutamine. Nevertheless, we have identified several genes that are specifically or preferentially induced by glutamate (Figs. 5, 6 and Additional file 1: Figure S4). These genes can be used to dissect the molecular mechanism of glutamate signaling and regulation of gene expression in the future.
Significance of exogenous glutamate treatment
Nitrate and ammonium have been considered as the dominant nitrogen sources for plants and research on plant nitrogen nutrition has thus heavily focused on these inorganic nitrogen forms. One of the reasons that drives many researchers to study the effects of nitrate and ammonium on plants is the use of inorganic nitrogen fertilizers in agriculture. In fact, organic and inorganic nitrogen sources coexist in the ecosystem, and plants can use a diverse array of nitrogen forms, including amino acids, present in the soil [51]. It has been shown that Arabidopsis roots can take up amino acids at naturally occurring concentrations from agricultural soil [52, 53]. Under natural conditions, decomposing organic matters including plant and animal tissues may result in organic nitrogen-rich patches in the soil. Although glutamate concentrations are normally low (<10 μM) in bulk soil solutions [54], high concentrations of glutamate may routinely occur in organic nitrogen-rich patches as plant and animal tissues contain free glutamate at millimolar levels [55, 56]. The concentrations of apoplastic glutamate has been reported in the range of 0.3-1.3 mM in a variety of tissues and plant species [57–61]. Interestingly, some of the glutamate-responsive genes identified here can be rapidly induced (30 min) by exogenous glutamate at a relatively low concentration (0.1 mM). These results suggest that the signaling role of glutamate in the regulation of gene expression may occur in planta.
Conclusion
Glutamate is a very active amino acid that occupies a central position in the primary metabolism in plants. Here, we show that glutamate, the most abundant amino acid in nitrogen-starved rice seedlings, may play a role in plant nutrition and function as a signaling molecule to regulate gene expression. In addition to genes involved in metabolism, transport, growth and signal transduction, glutamate rapidly induces the expression of genes related defense and stress responses. The elicitor-like response triggered by glutamate may partly explain the effect of exogenous glutamate on the induction of disease resistance in rice. The nutritional effects and the diverse functions of early glutamate-responsive genes support the notion that glutamate is an important metabolic fuel and a functional amino acid in plants.
Methods
Plant material and growth conditions
Rice (Oryza sativa L. ssp. Japonica cv. TNG67) seeds were germinated in darkness at 30 °C for 3 days. The etiolated rice seedlings were cultured in hydroponic solutions [62] containing modified nitrogen sources, with (+N) or without (−N) 1.43 mM NH4NO3, or supplemented with 0.1-10 mM glutamate, in a controlled growth chamber at 30 °C under a 12-h light/12-h dark photoperiod with 200 μmol photons m−2 s−1 light intensity and 70% relative humidity for 2 weeks. The hydroponic solution was renewed every 3 days in all experiments. The hydroponic solution recommended by The International Rice Research Institute contains 1.43 mM NH4NO3 [62], which was used as a control (+N) in all experiments conducted in this study.
Measurement of chlorophyll content
The Chlorophyll Content Meter (CCM-300, Opti-sciences, NH, USA) was used to measure the amount of chlorophyll in leaves of 17-day-old rice seedlings grown in hydroponic solutions + N, −N, or supplemented with 0.1-10 mM glutamate as the sole nitrogen source.
RNA isolation and microarray analysis
Total RNA extracted from roots and shoots of 17-day-old rice seedlings grown in hydroponic solution -N or +2.5 mM glutamate for 30 min was used for microarray analysis with the GeneChip Rice Genome Array (Affymetrix, Santa Clara, CA, USA). The method for total RNA isolation was as described previously [63]. RNA samples from two biological repeats were used for the microarray experiment conducted by the Affymetrix Gene Expression Service Lab at Academia Sinica, Taipei, Taiwan (http://ipmb.sinica.edu.tw/affy/). Target preparation, hybridization, washes, staining, array scanning, and data analysis were performed as described [33]. Two-fold cutoff and a P-value less than 0.05 were applied to select for up- and down-regulated genes after 2.5 mM Glu treatment for 30 min. AgriGO [64] was used to perform the gene ontology (GO) analysis of 122 glutamate up-regulated genes compared with the genome-wide background with an adjusted p-value (False Discovery Rate, FDR) cutoff of 0.05. The GO categories consisting of three structured networks, e.g. biological process, cellular component and molecular function, of defined terms were derived from Gene Ontology (www.geneontology.org). Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis of 122 glutamate up-regulated genes was performed using BlastKOALA (http://www.kegg.jp/blastkoala/). A web-based program EXPath (http://expath.itps.ncku.edu.tw/enrichment/rice/enrichment_analysis.php) was used to analyze KEGG pathway enrichment with the thresholds of P-value < 0.05 [65].
Quantitative RT-PCR analysis of glutamate-responsive genes
To examine the effect of different glutamate concentrations on the expression of glutamate-responsive genes, 17-day-old rice seedlings grown in –N hydroponics were transferred to solutions containing 0–5 mM glutamate for 30 min. For the time course experiment with different nitrogen treatments, 17-day-old rice seedlings grown in –N hydroponics were transferred to solutions containing 2.5 mM glutamate, glutamine, or 1.43 mM NH4NO3 for 0–24 h. Total RNA extracted from roots of glutamate-treated rice seedlings was digested with DNase I and used for qRT-PCR analysis. All of the quantifications were normalized to the nuclear gene UBC3 (Os02g0634800). The primers used for qRT-PCR analysis are listed in Additional file 1: Table S6. The qRT-PCRs were performed in triplicate for each sample in three independent experiments.
Amino acid and GABA analysis
For amino acid and GABA analysis, 17-day-old rice seedlings grown in -N hydroponics were transferred to fresh -N or -N supplemented with 2.5 mM glutamate for 30 min or the indicated time. Roots and shoots were harvested separately amino acid extraction. The method for amino acid extraction was described previously [33]. Amino acid samples from four biological repeats were analyzed using the Waters Acquity UPLC system equipped with a Waters AccQ•Tag Ultra column (2.1 mm × 10 mm, 1.7 μm particles) as described [33].
CCK, TYC and MHH conceived and designed the experiments. CCK, TYC, HYW and YAJ conducted the experiments and analyzed the data. MHH wrote the paper. All authors read and approved the final manuscript.
Competing interests
The authors declare that they have no competing interests.
Consent for publication
Not applicable.
Ethics approval and consent to participate
Not applicable.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
Authors’ Affiliations
(1)
Institute of Plant and Microbial Biology, Academia Sinica
References
Lea PJ, Miflin BJ. Alternative route for nitrogen assimilation in higher plants. Nature. 1974;251:614–6.View ArticlePubMedGoogle Scholar
Lam HM, Coschigano K, Schultz C, Oliveira R, Tjaden G, Oliveira I, Ngai N, Hsieh MH, Coruzzi G. Use of Arabidopsis mutants and genes to study amide amino acid biosynthesis. Plant Cell. 1995;7:887–98.View ArticlePubMedPubMed CentralGoogle Scholar
Tabuchi M, Abiko T, Yamaya T. Assimilation of ammonium ions and reutilization of nitrogen in rice (Oryza sativa L.). J Exp Bot. 2007;58:2319–27.View ArticlePubMedGoogle Scholar
Foyer CH, Bloom AJ, Queval G, Noctor G. Photorespiratory metabolism: genes, mutants, energetics, and redox signaling. Annu Rev Plant Biol. 2009;60:455–84.View ArticlePubMedGoogle Scholar
Forde BG, Lea PJ. Glutamate in plants: metabolism, regulation, and signaling. J Exp Bot. 2007;58:2339–58.View ArticlePubMedGoogle Scholar
Lu SC. Glutathione synthesis. Biochim Biophys Acta. 1830;2013:3143–53.Google Scholar
Shelp BJ, Bown AW, McLean MD. Metabolism and functions of gamma-aminobutyric acid. Trends Plant Sci. 1999;4:446–52.View ArticlePubMedGoogle Scholar
Bouché N, Fait A, Zik M, Fromm H. The root specific glutamate decarboxylase (GAD1) is essential for sustaining GABA levels in Arabidopsis. Plant Mol Biol. 2004;55:315–25.View ArticlePubMedGoogle Scholar
Ramesh SA, Tyerman SD, Xu B, Bose J, Kaur S, Conn V, et al. GABA signaling modulates plant growth by directly regulating the activity of plant-specific anion transporters. Nat Commun. 2015;6:7879.View ArticlePubMedPubMed CentralGoogle Scholar
Hanson AD, Gregory III JF. Folate biosynthesis, turnover, and transport in Plants. Annu Rev Plant Biol. 2011;62:105–25.View ArticlePubMedGoogle Scholar
Traynelis SF, Wollmuth LP, McBain CJ, Menniti FS, Vance KM, Ogden KK, et al. Glutamate receptor ion channels: structure, regulation, and function. Pharmacol Rev. 2010;62:405–96.View ArticlePubMedPubMed CentralGoogle Scholar
Hinoi E, Takarada T, Ueshima T, Tsuchihashi Y, Yoneda Y. Glutamate signaling in peripheral tissues. Eur J Biochem. 2004;271:1–13.View ArticlePubMedGoogle Scholar
Ganor Y, Levite M. Glutamate in the immune system: glutamate receptors in immune cells, potent effects, endogenous production and involvement in disease. In: Levite M, editor. Nerve-driven immunity: neurotransmitters and neuropeptides in the immune system. Vienna: Springer Verlag; 2012. p. 121–61.View ArticleGoogle Scholar
Featherstone DE. Intercellular glutamate signaling in the nervous system and beyond. Acs Chem Neurosci. 2010;1:4–12.View ArticlePubMedGoogle Scholar
Lam HM, Chiu J, Hsieh MH, Meisel L, Oliveira IC, Shin M, Coruzzi G. Glutamate receptor genes in plants. Nature. 1998;396:125–6.View ArticlePubMedGoogle Scholar
Chiu JC, Brenner ED, De Salle R, Nitabach MN, Holmes TC, Coruzzi GM. Phylogenetic and expression analysis of the glutamate receptor-like gene family in Arabidopsis thaliana. Mol Biol Evol. 2002;19:1066–82.View ArticlePubMedGoogle Scholar
Tapken D, Anschutz U, Liu LH, Huelsken T, Seebohm G, Becker D, Hollmann M. A plant homolog of animal glutamate receptors is an ion channel gated by multiple hydrophobic amino acids. Sci Signal. 2013;6:47.View ArticleGoogle Scholar
Walch-Liu P, Liu L-H, Remans T, Tester M, Forde BG. Evidence that L-glutamate can act as an exogenous signal to modulate root growth and branching in Arabidopsis thaliana. Plant Cell Physiol. 2006;47:1045–57.View ArticlePubMedGoogle Scholar
Forde BG, Walch-Liu P. Nitrate and glutamate as environmental cues for behavioral responses in plant roots. Plant Cell Environ. 2009;32:682–93.View ArticlePubMedGoogle Scholar
Forde BG, Cutler S, Zaman N, Krysan PJ. Glutamate signalling via a MEKK1 kinase-dependent pathway induces changes in Arabidopsis root architecture. Plant J. 2013;75:1–10.View ArticlePubMedPubMed CentralGoogle Scholar
Rodriguez MC, Petersen M, Mundy J. Mitogen-activated protein kinase signaling in plants. Annu Rev Plant Biol. 2010;61:621–49.View ArticlePubMedGoogle Scholar
Kadotani N, Akagi A, Takatsuji H, Miwa T, Igarashi D. Exogenous proteinogenic amino acids induce systemic resistance in rice. BMC Plant Biol. 2016;16:60.View ArticlePubMedPubMed CentralGoogle Scholar
Fritz C, Mueller C, Matt P, Feil R, Stitt M. Impact of the C-N status on the amino acid profile in tobacco source leaves. Plant Cell Environ. 2006;29:2055–76.View ArticlePubMedGoogle Scholar
Schneidereit J, Hausler RE, Fien G, Kaiser W, Weber W, Weber APM. Antisense repression reveals a crucial role of the plastidic 2-oxoglutarate/malate translocator DiT1 at the interface between carbon and nitrogen metabolism. Plant J. 2006;45:206–24.View ArticlePubMedGoogle Scholar
Masclaux-Daubresse C, Carrayol E, Valadier MH. The two nitrogen mobilization- and senescence-associated GS1 and GDH genes are controlled by C and N metabolites. Planta. 2005;221:580–8.View ArticlePubMedGoogle Scholar
Masclaux-Daubresse C, Reisdorf-Cren M, Pageau K, Lelandais M, Grandjean O, Kronenberger J, Valadier MH, Feraud M, Jouglet T, Suzuki A. Glutamine synthetase-glutamate synthase pathway and glutamate dehydrogenase play distinct roles in the sink-source nitrogen cycle in tobacco. Plant Physiol. 2006;140:444–56.View ArticlePubMedPubMed CentralGoogle Scholar
Ljungdahl PO. Amino-acid-induced signaling via the SPS-sensing pathway in yeast. Biochem Soc Trans. 2009;37:242–7.View ArticlePubMedGoogle Scholar
Brasse-Lagnel C, Lavoinne A, Husson A. Control of mammalian gene expression by amino acids, especially glutamine. FEBS J. 2009;276:1826–44.View ArticlePubMedGoogle Scholar
Kan CC, Chung TY, Juo YA, Hsieh MH. Glutamine rapidly induces the expression of key transcription factor genes involved in nitrogen and stress responses in rice roots. BMC Genomics. 2015;16:731.View ArticlePubMedPubMed CentralGoogle Scholar
Rubin G, Tohge T, Matsuda F, Saito K, Scheible WR. Members of the LBD family of transcription factors repress anthocyanin synthesis and affect additional nitrogen responses in Arabidopsis. Plant Cell. 2009;21:3567–84.View ArticlePubMedPubMed CentralGoogle Scholar
Tanabe S, Onodera H, Hara N, Ishii-Minami N, Day B, Fujisawa Y, Hagio T, Toki S, Shibuya N, Nishizawa Y, Minami E. The elicitor-responsive gene for a GRAS family protein, CIGR2, suppresses cell death in rice inoculated with rice blast fungus via activation of a heat shock transcription factor, OsHsf23. Biosci Biotechnol Biochem. 2015;80:145–51.PubMedGoogle Scholar
Takasaki H, Maruyama K, Kidokoro S, Ito Y, Fujita Y, Shinozaki K, Yamaguchi-Shinozaki K, Nakashima K. The abiotic stress-responsive NAC-type transcription factor OsNAC5 regulates stress-inducible genes and stress tolerance in rice. Mol Genet Genomics. 2010;284:173–83.View ArticlePubMedGoogle Scholar
Song SY, Chen Y, Chen J, Dai XY, Zhang WH. Physiological mechanisms underlying OsNAC5-dependent tolerance of rice plants to abiotic stress. Planta. 2011;234:331–45.View ArticlePubMedGoogle Scholar
Jeong JS, Kim YS, Redillas MCFR, Jang G, Jung H, Bang SW, Choi YD, Ha SH, Reuzeau C, Kim JK. OsNAC5 overexpression enlarges root diameter in rice plants leading to enhanced drought tolerance and increased grain yield in the field. Plant Biotech J. 2013;11:101–14.View ArticleGoogle Scholar
Kiribuchi K, Sugimori M, Takeda M, Otani T, Okada K, Onodera H, et al. RERJ1, a jasmonic acid-responsive gene from rice, encodes a basic helix-loop-helix protein. Biochem Biophys Res Commun. 2004;325:857–63.View ArticlePubMedGoogle Scholar
Kiribuchi K, Jikumaru Y, Kaku H, Minami E, Hasegawa M, Kodama O, et al. Involvement of the basic helix–loop–helix transcription factor RERJ1 in wounding and drought stress responses in rice plants. Biosci Biotech Biochem. 2005;69:1042–4.View ArticleGoogle Scholar
Miyamoto K, Shimizu T, Mochizuki S, Nishizawa Y, Minami E, Nojiri H, et al. Stress induced expression of the transcription factor RERJ1 is tightly regulated in response to jasmonic acid accumula- tion in rice. Protoplasma. 2013;250:241–9.View ArticlePubMedGoogle Scholar
Delteil A, Gobbato E, Cayrol B, Estevan J, Michel-Romiti C, Dievart A, et al. Several wall-associated kinases participate positively and negatively in basal defense against rice blast fungus. BMC Plant Biol. 2016;16:17.View ArticlePubMedPubMed CentralGoogle Scholar
Ding X, Cao Y, Huang L, Zhao J, Xu C, Li X, Wang S. Activation of the indole-3-acetic acid-amido synthetase GH3-8 suppresses expansin expression and promotes salicylate- and jasmonate-independent basal immunity in rice. Plant Cell. 2008;20:228–40.View ArticlePubMedPubMed CentralGoogle Scholar
Tegeder M. Transporters involved in source to sink partitioning of amino acids and ureides: opportunities for crop improvement. J Exp Bot. 2014;65:1865–78.View ArticlePubMedGoogle Scholar
Zhao H, Ma H, Yu L, Wang X, Zhao J. Genome-wide survey and expression analysis of amino acid transporter gene family in rice (Oryza sativa L.). PLoS One. 2012;7:e49210.View ArticlePubMedPubMed CentralGoogle Scholar
Taylor MR, Reinders A, Ward JM. Transport function of rice amino acid permeases (AAPs). Plant Cell Physiol. 2015;56:1355–63.View ArticlePubMedGoogle Scholar
Jisha V, Dampanaboina L, Vadassery J, Mithöfer A, Kappara S, Ramanan R. Overexpression of an AP2/ERF type transcription factor OsEREBP1 confers biotic and abiotic stress tolerance in rice. PLoS One. 2015;10:e0127831.View ArticlePubMedPubMed CentralGoogle Scholar
Zhou G, Qi J, Ren N, Cheng J, Erb M, Mao B, Lou Y. Silencing OsHI-LOX makes rice more susceptible to chewing herbivores, but enhances resistance to a phloem feeder. Plant J. 2009;60:638–48.View ArticlePubMedGoogle Scholar
Näsholm T, Kielland K, Ganeteg U. Uptake of organic nitrogen by plants. New Phytologist. 2009;182:31–48.View ArticlePubMedGoogle Scholar
Svennerstam H, Jämtgård S, Ahmad I, Huss-Danell K, Näsholm T, Ganeteg U. Transporters in Arabidopsis roots mediating uptake of amino acids at naturally occurring concentrations. New Phytologist. 2011;191:459–67.View ArticlePubMedGoogle Scholar
Ganeteg U, Ahmad I, Jämtgård S, Aguetoni-Cambui C, Inselsbacher E, Svennerstam H, Schmidt S, Näsholm T. Amino acid transporter mutants of Arabidopsis provides evidence that a non-mycorrhizal plant acquires organic nitrogen from agricultural soil. Plant Cell Environ. 2016. doi:https://doi.org/10.1111/pce.12881.Google Scholar
Jones DL, Shannon D, Junvee-Fortune T, Farrar JF. Plant capture of free amino acids is maximized under high soil amino acid concentrations. Soil Biol Biochem. 2005;37:179–81.View ArticleGoogle Scholar
Joy KW, Blackwell RD, Lea PJ. Assimilation of nitrogen in mutants lacking enzymes of the glutamate synthase cycle. J Exp Bot. 1992;43:139–45.View ArticleGoogle Scholar
Young VR, Ajami AM. Glutamate: an amino acid of particular distinction. J Nutr. 2000;130:892S–900S.PubMedGoogle Scholar
Lohaus G, Winter H, Riens B, Heldt HW. Further studies of the phloem loading process in leaves of barley and spinach-the comparison of metabolite concentrations in the apoplastic compartment with those in the cytosolic compartment and in the sieve tubes. Bot Acta. 1995;108:270–5.View ArticleGoogle Scholar
Ruan YL, Patrick JW, Brady CJ. The composition of apoplast fluid recovered from intact developing tomato fruit. Aust J Plant Physiol. 1996;23:9–13.View ArticleGoogle Scholar
Lohaus G, Heldt HW. Assimilation of gaseous ammonia and the transport of its products in barley and spinach leaves. J Exp Bot. 1997;48:1779–86.Google Scholar
Lohaus G, Pennewiss K, Sattelmacher B, Hussmann M, Muehling KH. Is the infiltration-centrifugation technique appropriate for the isolation of apoplastic fluid? A critical evaluation with different plant species. Physiol Plant. 2001;111:457–65.View ArticlePubMedGoogle Scholar
Demidchik V, Essah PA, Tester M. Glutamate activates cation currents in the plasma membrane of Arabidopsis root cells. Planta. 2004;219:167–75.View ArticlePubMedGoogle Scholar
Yoshida S, Forno D, Cock J, Gomez K. Laboratory manual for physiological studies of rice. Manila, The Philippines: The International Rice Research Institute; 1976.Google Scholar
Tseng CC, Lee CJ, Chung YT, Sung TY, Hsieh MH. Differential regulation of Arabidopsis plastid gene expression and RNA editing in non-photosynthetic tissues. Plant Mol Biol. 2013;82:375–92.View ArticlePubMedGoogle Scholar
