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Copyright © 2009, American Society of Plant Biologists Methyl Jasmonate Reduces Grain Yield by Mediating Stress Signals to Alter Spikelet Development in Rice1[W][OA] School of Biotechnology and Environmental Engineering, Myongji University, Yongin 449–728, Korea (E.H.K., Y.S.K., S.-H.P., J.-K.K.); School of Agricultural Biotechnology, Seoul National University, Seoul 151–921, Korea (Y.J.K., Y.D.C.); School of Life Science and Biotechnology, Korea University, Seoul 136–701, Korea (Y.-Y.C.); and School of Applied Bioscience, Kyungpook National University, Daegu 702–701, Korea (I.-J.L.) *Corresponding author; e-mail jukon306/at/gmail.com. 2Present address: Department of Biology, University of Pennsylvania, Philadelphia, PA 19104–6018. Received December 18, 2008; Accepted February 4, 2009. Abstract Jasmonic acid (JA) is involved in plant development and the defense response. Transgenic overexpression of the Arabidopsis (Arabidopsis thaliana) jasmonic acid carboxyl methyltransferase gene (AtJMT) linked to the Ubi1 promoter increased levels of methyl jasmonate (MeJA) by 6-fold in young panicles. Grain yield was greatly reduced in Ubi1:AtJMT plants due to a lower numbers of spikelets and lower filling rates than were observed for nontransgenic (NT) controls. Ubi1:AtJMT plants had altered numbers of spikelet organs, including the lemma/palea, lodicule, anther, and pistil. The loss of grain yield and alteration in spikelet organ numbers were reproduced by treating NT plants with exogenous MeJA, indicating that increased levels of MeJA in Ubi1:AtJMT panicles inhibited spikelet development. Interestingly, MeJA levels were increased by 19-fold in young NT panicles upon exposure to drought conditions, resulting in a loss of grain yield that was similar to that observed in Ubi1:AtJMT plants. Levels of abscisic acid (ABA) were increased by 1.9- and 1.4-fold in Ubi1:AtJMT and drought-treated NT panicles, respectively. The ABA increase in Ubi1:AtJMT panicles grown in nondrought conditions suggests that MeJA, rather than drought stress, induces ABA biosynthesis under drought conditions. Using microarray and quantitative polymerase chain reaction analyses, we identified seven genes that were regulated in both Ubi1:AtJMT and drought-treated NT panicles. Two genes, OsJMT1 and OsSDR (for short-chain alcohol dehydrogenase), are involved in MeJA and ABA biosynthesis, respectively, in rice (Oryza sativa). Overall, our results suggest that plants produce MeJA during drought stress, which in turn stimulates the production of ABA, together leading to a loss of grain yield. Rice (Oryza sativa), the model system for the study of monocotyledonous plants, is a cereal crop consumed by more than half of the world's population. As such, improvements in grain yield are an important focus of research. Since rice plants grow in a paddy field, they are susceptible to water stress and in particular to drought (Yang et al., 2004, 2007). Approximately 20% of the total worldwide rice growing area is prone to drought (Pandey et al., 2007), and drought is one of the major constraints to rice production worldwide. Although drought conditions can alter the growth and development of rice at any time during its life cycle, drought stress during reproductive growth, but not during vegetative growth, results in a loss of grain yield. Immediately following the transition of rice plants to the reproductive phase, the vegetative meristem is converted into the panicle meristem. The panicle meristem subsequently differentiates in an orderly fashion into primary branches, secondary branches, and spikelet meristems (Ikeda et al., 2004). Rice grain yield is determined by four parameters: number of panicles per plant, number of spikelets per panicle, filling rate, and total seed weight. The number of panicles and spikelets is determined soon after formation of the panicle and spikelet meristems (Sakamoto and Matsuoka, 2008). Drought exposure during the earlier stages of this transition affects the first two parameters more than the other parameters, while drought exposure at later stages of reproductive development affects the filling rate more than the other parameters. The total seed weight is the combined result of the other three parameters. The development of the panicle and/or spikelet meristem is repressed under the drought conditions, resulting in a reduction in the number of panicles per plant and/or the number of spikelets per panicle (O'Toole and Namuco, 1983; Boonjung and Fukai, 1996; Wopereis et al., 1996; Asch et al., 2005). Abscisic acid (ABA) has been implicated in a reduction of grain yield following water stress during reproductive plant development. ABA levels were increased upon exposure of plants to drought conditions, which reduces the filling rate by increasing sterility in cereal plants (Morgan, 1980; Ober et al., 1991; Beltrano et al., 1999; Yang et al., 2004, 2007). These studies focused on plant hormone levels during the late stages of reproductive development, including meiosis and/or grain-filling periods following exposure to drought conditions. However, studies on plant hormone levels during the early stages of reproductive development, which determine the number of panicles and spikelets, are currently lacking. Methyl jasmonate (MeJA) and jasmonic acid (JA) are important cellular regulators involved in diverse plant developmental processes, including seed germination (Nojavan-Asghari and Ishizawa, 1998), callus growth (Ueda and Kato, 1982), primary root growth (Staswick et al., 1992), flowering (Albrechtová and Ullmann, 1994), formation of gum and bulb (Saniewski et al., 1998), and senescence (Ueda and Kato, 1980). They are also involved in plant defense responses to insect wounding, attack by various pathogens, and water deficit (Creelman and Mullet, 1995; Wasternack and Parthier, 1997; Seo et al., 2001; Rakwal et al., 2002). The levels of endogenous jasmonates were reported to be increased following pathogen exposure (Reymond and Farmer, 1998; Thomma et al., 1998). Likewise, exogenous application of jasmonates to plants induced stress-related or pathogenesis-related (PR) genes (Moons et al., 1997; Mei et al., 2006). Thus, the role(s) of jasmonate in response to biotic stresses has been well documented; however, relatively little is known about its involvement in response to abiotic stress. Jasmonate levels were increased in soybean (Glycine max; Creelman and Mullet, 1995) and Pinus pinaster (Pedranzani et al., 2007) upon plant exposure to drought and in tomato (Solanum lycopersicum; Pedranzani et al., 2003) and Iris hexagona (Wang et al., 2001) upon exposure to high salinity. In rice, both drought and high salinity increased jasmonate levels in the leaves and roots, resulting in the induction of stress-related PR and JA biosynthetic genes (Moons et al., 1997; Kiribuchi et al., 2005; Tani et al., 2008). These abiotic stress-induced increases in jasmonate levels were observed only in vegetative tissues. Whether drought conditions increase jasmonate levels in reproductive organs remains to be determined. The jasmonic acid carboxyl methyltransferase (JMT) enzyme converts JA to a volatile component, MeJA. Expression of endogenous JMT was not detected in young seedlings, but its expression was initiated in conjunction with the nectar in the developing flowers of Chinese cabbage (Brassica campestris pekinensis; Song et al., 2000). Transgenic overexpression of the Arabidopsis (Arabidopsis thaliana) JMT gene (AtJMT) in Arabidopsis plants using the 35S promoter increased leaf MeJA levels by 3-fold (Seo et al., 2001). This overexpression also caused a significant decline in transgenic Arabidopsis seed production (Cipollini, 2007). In this study, we attempted to show that MeJA plays an important role in stress-induced loss of grain yield. Transgenic overexpression of AtJMT in rice resulted in a large reduction in grain yield through increased MeJA and ABA levels in young panicles. Exposure of nontransgenic plants to drought conditions also increased MeJA and ABA levels in young panicles and significantly reduced grain yield, in a similar manner to that observed in AtJMT plants. These results suggest a role for MeJA in the plant response to drought stress. RESULTS Ubi1:AtJMT Transgenic Rice That Produce High Levels of MeJA in Their Panicles To study the role of MeJA in reproductive development of rice panicles, rice were transformed with the construct Ubi1:AtJMT (Fig. 1A
High Levels of MeJA Reduce Grain Yield in Both Ubi1:AtJMT and Drought-Treated NT Plants Phenotypic evaluation of Ubi1:AtJMT and NT plants revealed no major differences in the vegetative growth of the entire plants and the time to flowering, although the transgenic plants were slightly smaller than the NT controls. However, grain yield was significantly reduced in the Ubi1:AtJMT plants (Fig. 2
High MeJA Levels Alter Spikelet Organ Numbers in Both Ubi1:AtJMT and Drought-Treated NT Plants Several alterations in spikelet organ numbers were noted in the developing spikelets of Ubi1:AtJMT plants (Fig. 4
The proportion of altered spikelets in Ubi1:AtJMT plants ranged from 34.8% to 60% (Table III). In NT plants that were treated either with exogenous MeJA or with drought, the proportion of altered spikelets was 11.1% or 10.0%, respectively. These proportions of altered NT spikelets were lower than those observed for Ubi1:AtJMT spikelets, possibly because MeJA levels were maintained at a high level throughout all stages of panicle development in Ubi1:AtJMT plants due to the constitutive expression of AtJMT, as opposed to transient increases of MeJA in NT plants. Thus, our results demonstrate that increased levels of MeJA in Ubi1:AtJMT plants are responsible for alteration in spikelet organ numbers.
Identification of Genes Regulated by MeJA and Drought in Young Panicles To identify genes that are regulated by MeJA and drought, global expression profiling was performed on panicles from Ubi1:AtJMT, drought-treated NT, and untreated NT plants. The underlying assumption of this approach was that high levels of MeJA produced either by overexpression of AtJMT in the transgenic panicles or by drought treatment in the NT panicles regulate genes that are involved in spikelet and/or panicle development. Profiling was conducted using the Rice 3′-Tiling Microarray (GreenGene Biotech). RNA samples from S1 panicles of Ubi1:AtJMT, drought-treated NT, and untreated NT plants were used to generate cyanine-3 (Cy3)-labeled cDNA probes, which were then hybridized to the microarray. Each data set was obtained from three biological repeats. When three replicates were averaged and compared with untreated NT panicles, 157 and 372 genes were up-regulated and 127 and 700 genes were down-regulated in Ubi1:JMT and drought-treated NT panicles, respectively. From this list, we further selected genes that were regulated in both Ubi1:JMT and drought-treated NT panicles in all three replicates. The resulting collection of 10 up-regulated and 17 down-regulated genes is presented in Table IV. The regulated patterns of gene expression were subsequently confirmed by quantitative real-time PCR using the same RNAs that were used for the microarrays (Fig. 5
DISCUSSION In this study, we show that transgenic overexpression of the AtJMT gene in rice (Ubi1:AtJMT) increases MeJA levels in young panicles. Surprisingly, the increased MeJA levels caused dramatic changes in Ubi1:AtJMT plant reproductive development. These changes included a reduced number of spikelets per panicle, low filling rate, and alterations in floral organ numbers, collectively resulting in a large loss of grain yield. Similar phenotypes were also observed in NT plants that were treated with either exogenous MeJA or with drought at the panicle initiation stage, suggesting that MeJA is the key component for the observed alterations in reproductive development. The effects of MeJA on plant development have also been examined in other model plant species. Unlike our Ubi1:AtJMT rice, Arabidopsis plants transformed with 35S:AtJMT had increased levels of MeJA, but their flowers were visually indistinguishable from those of NT plants (Seo et al., 2001). This is likely because the anatomy and development of rice spikelets differ from those of Arabidopsis flowers (Ikeda et al., 2004; Dreni et al., 2007). Interestingly, Cipollini (2007) reported that Arabidopsis plants transformed with 35S:AtJMT produced 40% less total seed weight than NT controls. In this case, the reduction in total seed weight was due to a reduced number of flowers. Similarly, application of exogenous MeJA on Pharbitis nil (Maciejewska and Kopcewicz, 2002) and Nicotiana sylvestris (Baldwin and Hamilton, 2000) led to a dramatic reduction in the number of flowers. Collectively, these reports from different plant species support our observations that the increased levels of MeJA in both Ubi1:AtJMT and drought-treated NT plants are responsible for the reduced number of spikelets per panicle. Rice plants containing high levels of MeJA in their young panicles had not only a reduced number of spikelets but also a reduced filling rate. For example, in drought-treated NT plants, total seed weight was reduced by 48.8%. This reduction was the result of a 25% decrease in the number of spikelets per panicle and a 38.5% decrease in the filling rate as compared with results from untreated NT plants (Table II). The reduction in filling rate may have been due to altered levels of JA rather than MeJA. This possibility is supported by reports of decreased levels of JA, impaired floral development such as flower opening, and impaired development and release of pollen in the Arabidopsis mutants fad3-1/fad7-2/fad8, dde1, and dad1 (McConn and Browse, 1996; Sanders et al., 2000; Ishiguro et al., 2001). Lack of JA sensitivity in the Arabidopsis coi1 mutant also led to male sterility (Xie et al., 1998). This does not appear to be the case in our Ubi1:AtJMT rice, in which levels of JA in young panicles remained unchanged. Similarly, JA levels were not altered in transgenic Arabidopsis and soybean overexpressing AtJMT and NTR1 (a Chinese cabbage ortholog of AtJMT), respectively (Seo et al., 2001; Xue and Zhang, 2007). Thus, our results demonstrated that increased levels of MeJA altered the number of spikelet organs in Ubi1:AtJMT as well as in drought-treated NT plants. The alteration in spikelet organ numbers was correlated with a reduction in the filling rate in these plants, which subsequently led to a loss of grain yield. This possibility is supported by the reported observation that exogenous application of MeJA during the anther dehiscence stage of rice development resulted in increased sterility (Zhu et al., 2004). It is possible that the reductions in seed production of Ubi1:AtJMT plants were due partly to energetic costs associated with constitutive overexpression of AtJMT, overproduction of MeJA, and activation of defense and fitness responses to nutrients, as observed previously in Arabidopsis (Cipollini, 2007, 2009). Since MeJA stimulates the production of ABA in Ubi1:AtJMT plants, the reduction in grain yield was also due partly to ABA-mediated pollen abortion that was reported to occur under drought and cold stresses in rice and maize (Morgan, 1980; Oliver et al., 2007). Application of exogenous MeJA was reported to inhibit P. nil shoot growth in a dose-dependent manner (Maciejewska and Kopcewicz, 2002). MeJA is also reported to inhibit seed germination, callus growth, and primary root growth (Ueda and Kato, 1982; Staswick et al., 1992; Berger et al., 1996; Nojavan-Asghari and Ishizawa, 1998). More recently, Pauwels et al. (2008) reported that high levels of MeJA repressed cell cycle progression by arresting cells in the G2 phase. It is likely that increased levels of MeJA reduce the number of spikelets in our Ubi1:AtJMT panicles by repressing cell cycle progression. ABA is generally thought to play a role in plant response to drought stress. ABA was reported to increase by 1.8-fold in rice panicles in response to drought treatment at the mature panicle stage (Yang et al., 2001, 2004, 2007). In this study, we exposed NT plants to drought conditions for 2 weeks during the panicle initiation stage. In young panicles from drought-treated NT plants, the fold increase in levels of MeJA (19-fold) was much higher than that of ABA (1.4-fold) as compared with levels in untreated NT controls. In addition, in young panicles of Ubi1:AtJMT plants grown in nondrought conditions, levels of ABA were 1.9-fold higher than those of untreated NT controls, suggesting that ABA levels were increased due to MeJA exposure rather than by drought stress. These results led us to postulate that plants start to produce MeJA upon exposure to drought stress, which in turn stimulates the production of ABA. This hypothesis is supported by the fact that MeJA treatment increased ABA concentrations at an early stage of fruit development in sweet cherry (Prunus avium; Kondo et al., 2002). The OsSDR gene, an Arabidopsis ortholog of which is essential for ABA biosynthesis (González-Guzmán et al., 2002), was up-regulated in both Ubi1:AtJMT panicles and drought-treated NT panicles, suggesting its involvement in MeJA-dependent increases in ABA levels. The activity of the Arabidopsis SDR gene was reported to be required for JA biosynthesis (Adie et al., 2007), suggesting that ABA either precedes or cooperates with JA in signaling pathways. It is possible, therefore, that a positive feedback exists between MeJA and ABA under drought conditions. Determination of MeJA and ABA levels after exogenous application of ABA and MeJA or in ABA- and JA-defective mutants will clarify the feedback relationship further. Expression of OsJMT1, a rice ortholog of AtJMT, was increased in Ubi1:AtJMT and drought-treated NT panicles, indicating that OsJMT1 may be responsible for the biosynthesis of MeJA upon exposure to drought conditions. OsJMT1 shares 36% homology with AtJMT in nucleotide sequence without any stretch of 21 to 24 nucleotides that is required for a small RNA to potentially cross-react. Overall, our results suggest that MeJA plays a role in a stress-induced loss of grain yield in rice. MATERIALS AND METHODS Plasmid Construction and Transformation of Rice The expression plasmid Ubi1:AtJMT contained the bar gene under the control of the cauliflower mosaic virus 35S promoter for use with herbicide-based plant selection. The ubiquitin1 promoter, together with its intron (Ubi1), was used to drive constitutive plasmid gene expression (Christensen and Quail, 1996). The AtJMT cDNA clone was kindly provided by Dr. Y.D. Choi (Seo et al., 2001). Vectors were introduced into Agrobacterium tumefaciens LBA4404 by triparental mating. Embryonic callus initiated from the embryo of dehulled rice (Oryza sativa ‘Nakdong’) grains was transformed by cocultivation (Hiei et al., 1994), selected with 7 mg L−1 phosphinothricin, and used to regenerate transgenic plants according to the method of Jang et al. (2002). Drought and MeJA Treatments Transgenic and NT rice seeds were germinated in Murashige and Skoog solid medium in a growth chamber in the dark at 28°C for 3 d, transplanted to soil pots, and grown in a greenhouse (16-h-light/8-h-dark cycle) at 28°C to 30°C. Each pot (10 × 10 × 10 cm) was filled with rice nursery soil (Bio-media) according to the method of Oh et al. (2007, 2008). Twelve weeks after transplanting, rice plants (before panicle initiation) were subjected to either 2 weeks of drought or 60 μm MeJA (95%; Sigma-Aldrich) solution. When the plants had reached maturity and grains had ripened, the plants were harvested and threshed (separation of seeds from the vegetative parts). The unfilled and filled grains were taken apart, independently counted, and weighed. The following agronomic traits were scored: number of panicles, spikelets per panicle, filling rate (%), total seed weight (g), and 1,000 seed weight (g). Resultant data were separately analyzed by Student's t test for Table II. A spider plot of Ubi1:AtJMT and drought-treated NT plant agronomic traits as compared with untreated NT plants was drawn using Microsoft Excel software (Fig. 3 Measurements of MeJA and ABA Levels of MeJA were measured following the method of Engelberth et al. (2003). Approximately 0.5 g of S1 panicles was collected and extracted in methanol with an internal standard, [9,10-2H2]JA. Each sample was separated using a solid-phase extraction cartridge (reverse-phase C18, 12 mL; Mallinckrodt Baker), and sample pH was adjusted to pH 3.5 with 10% (v/v) formic acid. The oxylipin fraction was eluted with diethyl ether, and the eluate was completely dried under N2 gas. Methanolysis was performed by incubation with a 1:2 (v/v) HCl:methanol mixture for 12 h at 30°C. The HCl:methanol was then completely removed under a stream of N2 gas, and each sample was eluted with dichloromethane. Samples were analyzed by gas chromatography-mass spectrometry (Agilent Technologies). Levels of ABA were measured following the method of Kang et al. (2005). Approximately 0.1 g of S1 panicles was collected and extracted with an extraction solution containing 95% isopropanol, 5% glacial acetic acid, and an internal standard, [(±)-3,5,5,7,7,7-d6]ABA. The aqueous phase was extracted with ethyl acetate and separated using a silica cartridge (Sep-Pak; Waters Associates). The extracts were dried and methylated by adding diazomethane prior to gas chromatography-mass spectrometry (Agilent Technologies) analysis. Scanning Electron Micrographs of Spikelets Samples of panicles (<1 cm long) were prepared for scanning electron micrography analysis by prefixation in 0.1 m phosphate buffer (pH 7.4) containing 2.5% (v/v) glutaraldehyde and 4% (v/v) paraformaldehyde. Air was removed from the samples, and they were rinsed with phosphate buffer. Postfixation was carried out using OsO4, and samples were dehydrated with 60% to 100% ethanol. The samples were treated with isoamyl acetate, dried, and ion coated. The mounted specimens were observed using an S-4300 scanning electron microscope (Hitachi). Rice 3′-Tiling Microarray Analysis Expression profiling was conducted using a Rice 3′-Tiling Microarray. Information on the microarray can be found at http://www.ggbio.com (GreenGene Biotech). The Rice 3′-Tiling Microarray was designed from 27,448 genes deposited at the International Rice Genome Sequencing Project RAP1 database (http://rapdb.lab.nig.ac.jp). Among these, 20,507 genes were from representative RAP1 sequences with cDNA/EST supports and 6,941 genes were predicted without cDNA/EST supports. Ten 60-nucleotide-long probes were designed from each gene, starting 60 bp ahead of the end of the stop codon with 10-bp shifts in position, so that 10 probes covered 150 bp in the 3′ region of the gene. In total, 270,000 probes were designed (average size, 60 nucleotides) to have Tm values of 75°C to 85°C. The microarray was manufactured by NimbleGen (http://www.nimblegen.com/). Random gas chromatography probes (38,000) were used to monitor the hybridization efficiency, and fiducial markers at the four corners (225) were included to assist with overlaying the grid on the image. The microarray was used to profile gene expression in Ubi1:AtJMT, drought-treated NT, and untreated NT plants. Cy3-labeled target cDNA fragments were synthesized from S1 panicles using a Cy3-9mer primer. For normalization, data were processed with cubic alpine normalization using quartiles to adjust signal variation between chips and with Robust Multi-Chip Analysis using a median polish algorithm implemented in NimbleScan (Workman et al., 2002; Irizarry et al., 2003). To assess the reproducibility of the microarray analysis, we repeated the experiment three times with independently prepared total RNAs. Real-Time PCR Total RNA was prepared as reported previously (Oh et al., 2007). PCR products were amplified using the primers designed with Primer Designer 4 software (Sci-ed Software) listed in Supplemental Table S1. For quantitative real-time PCR experiments, the SuperScript III Platinum One-Step Quantitative RT-PCR system (Invitrogen) was used. For PCR, a master mix of reaction components was prepared according to the manufacturer's protocol for Platinum SYBR Green qPCR SuperMix-UDG (Invitrogen). Thermocycling and fluorescence detection were performed using a Stratagene Mx3000p Real-Time PCR machine (Stratagene). PCR was performed at 95°C for 10 min, followed by 20 to 25 cycles of 94°C for 30 s, 57°C for 30 s, and 68°C for 1 min. To validate our quantitative PCR results, we repeated each experiment three times. Supplemental Data The following materials are available in the online version of this article.
[Supplemental Data]
Acknowledgments We are grateful to Dr. Sang-Ik Song at Myongji University for making critical comments on the experimental results. Notes 1This work was supported by the Ministry of Education, Science, and Technology, Korea, through the Crop Functional Genomics Center (grant no. CG2111 to J.-K.K.), by the Biogreen21 Program (grant to J.-K.K.), and by the Korea Science and Engineering Foundation through the Plant Metabolism Research Center at Kyung-Hee University (grant to J.-K.K.). The author responsible for distribution of materials integral to the findings presented in this article in accordance with the policy described in the Instructions for Authors (www.plantphysiol.org) is: Ju-Kon Kim (jukon306/at/gmail.com). [W]The online version of this article contains Web-only data. [OA]Open Access articles can be viewed online without a subscription. References
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