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First published online May 1, 2009; 10.1104/pp.109.139378 Plant Physiology 150:1530-1540 (2009) © 2009 American Society of Plant Biologists OPEN ACCESS ARTICLE
Cytokinin-Dependent Photorespiration and the Protection of Photosynthesis during Water Deficit1,[W],[OA]Department Plant Sciences, University of California, Davis, California 95616 (R.M.R., E.B.); and Virginia Polytechnical Institute and State University, Virginia Bioinformatics Institute, Blacksburg, Virginia 24061 (V.S.)
We investigated the effects of PSARK::IPT (for Senescence-Associated Receptor Kinase::Isopentenyltransferase) expression and cytokinin production on several aspects of photosynthesis in transgenic tobacco (Nicotiana tabacum cv SR1) plants grown under optimal or restricted (30% of optimal) watering regimes. There were no significant differences in stomatal conductance between leaves from wild-type and transgenic PSARK-IPT plants grown under optimal or restricted watering. On the other hand, there was a significant reduction in the maximum rate of electron transport as well as the use of triose-phosphates only in wild-type plants during growth under restricted watering, indicating a biochemical control of photosynthesis during growth under water deficit. During water deficit conditions, the transgenic plants displayed an increase in catalase inside peroxisomes, maintained a physical association among chloroplasts, peroxisomes, and mitochondria, and increased the CO2 compensation point, indicating the cytokinin-mediated occurrence of photorespiration in the transgenic plants. The contribution of photorespiration to the tolerance of transgenic plants to water deficit was also supported by the increase in transcripts coding for enzymes involved in the conversion of glycolate to ribulose-1,5-bisphosphate. Moreover, the increase in transcripts indicated a cytokinin-induced elevation in photorespiration, suggesting the contribution of photorespiration in the protection of photosynthetic processes and its beneficial role during water stress.
Cytokinins (CKs) are known to regulate several aspects of plant growth and development, including the response of plants to abiotic stress (Haberer and Kieber, 2002
In general, there is a decrease in CK accumulation during drought stress, and the reduction in CKs can increase the shoot responses to increasing abscisic acid (ABA) concentrations during stress (Davies and Zhang, 1991
In an effort to overcome adverse physiological effects resulting from the manipulation of CKs, we developed transgenic plants that expressed IPT under the control of Senescence-Associated Receptor Kinase (SARK; Hajouj et al., 2000
We have shown previously that following a severe drought treatment, the production of CKs in transgenic plants expressing PSARK::IPT led to enhanced photosynthetic rates and water use efficiency (WUE). Moreover, the transgenic plants displayed minimal yield losses when watered with only a fraction of optimal water requirement (Rivero et al., 2007
Effects of IPT Expression on Photosynthesis and WUE
To gain additional insight into the effects of endogenous CK production in plants expressing PSARK::IPT, we measured and compared carbon assimilation (A), gs, E, and WUE in wild-type plants and two independent lines of transgenic PSARK::IPT plants grown under optimal and reduced watering regimes. We have shown previously that when wild-type plants and the two transgenic lines were grown under an optimal watering rate of 1,000 mL d–1 and a reduced watering rate of 300 mL d–1, the biomass and seed yield of the wild-type plants was severely affected by the restricted water treatment, with reductions of 57% and 60%, respectively. However, the transgenic plants displayed minimal reduction (8%–14%) in biomass and seed yield (Rivero et al., 2007
Biochemical Limitations to Photosynthesis by CKs
A reduction in A without a parallel reduction in gs in wild-type plants grown under water-limiting conditions might suggest the occurrence of biochemical limitations restricting photosynthesis. In order to assess the extent of the relative contribution of stomatal versus biochemical limitations to photosynthesis, we measured rates of CO2 assimilation under varying intercellular CO2 concentrations (Ci) and produced A/Ci curves. From the curves, one can calculate biochemical factors such as the maximum carboxylation rate of Rubisco (Vcmax), the maximum rate of the electron transport (Jmax) that is equivalent to the ribulose-1,5-bisP (RuBP) regeneration rate, as well as the use of triose-P (TPU; Farquhar et al., 1980
CK-Dependent Photorespiration
A morphological comparison between parenchyma cells from wild-type and PSARK::IPT plants grown under optimal watering revealed interesting ultrastructural differences (Fig. 4
). Distinct and large starch grains were seen in the chloroplasts of the transgenic plants (Fig. 4, B and D), which were sometimes also seen (albeit smaller) under limited water as well. Starch grains were not found in wild-type plants grown under either watering regime (Fig. 4, A and C). Wild-type plants also displayed unstacked thylakoids when grown under restricted watering (Fig. 4C), which is a typical response of chloroplasts to water stress (Sestak and Pospisilova, 1986
Under restricted water conditions, wild-type and transgenic plants displayed similar Vcmax (Fig. 3A), suggesting possible differences in the oxygenase activity of Rubisco. We compared the CO2 compensation point ( ) of wild-type and transgenic plants (Fig. 5
) because it has been shown previously that senescence or water stress can increase with a concomitant increase in photorespiration (Smith et al., 1976 decreased in wild-type plants, it increased progressively with time in transgenic plants (Fig. 5), suggesting the induction of photorespiration in PSARK::IPT plants. Overall, our results suggest a relationship between the production of CKs (mediated by PSARK::IPT) and the induction of photorespiration.
The abundance of transcripts coding for Rubisco (EC 4.1.1.39), phosphoglycolate phosphatase (PGPase; EC 3.1.3.18), glycolate oxidase (GO; EC 1.1.3.15), Gly decarboxylase (GDC; EC 2.1.2.10), Ser hydroxymethyltransferase (SHMT; EC 2.1.2.1), and glycerate kinase (GK; EC 2.7.1.31), key enzymes regulating photorespiration, was measured by quantitative PCR (Fig. 6, A and B ). We normalized transcript comparisons to that of wild-type plants grown under control conditions and compared the transcripts of wild-type plants grown at reduced water with the transcripts of transgenic plants expressing PSARK::IPT at both watering regimes (Fig. 6B). A quantitative comparison of the relative gene expression (qPCR) in wild-type plants indicated that water limitation caused a reduction in the expression of the selected transcripts except GK, where there were no significant differences with respect to its control (log2 < 1.5). However, the levels of these transcripts increased in PSARK::IPT plants grown with optimal water and increased by 4-fold in plants grown under reduced watering (300 mL d–1). Because photorespiration can generate metabolites such as Gly and Ser among other compounds that can be important for other cellular pathways (e.g. glutathione, amino acids, plant growth regulators, protein synthesis, etc.), we measured Gly, Ser, and glycerate (Fig. 6, C–E). Gly (Fig. 6C) and Ser (Fig. 6D) concentrations were higher in transgenic plants than in wild-type plants growing under control conditions. However, when compared with plants grown under restricted water, glycerate (Fig. 6E) was significantly higher in PSARK::IPT tobacco. In order to assess metabolite flow during photorespiration, transcript levels of GDC and SHMT, key enzymes responsible for Gly degradation, were correlated to Gly concentrations. In wild-type plants, GDC and SHMT transcripts were negatively correlated with Gly concentration, supporting the accumulation of Gly in plants grown under reduced watering (Gly-GDC, r = –0.991***; Gly-SHMT, r = –0.882***). On the other hand, this correlation was positive in transgenic plants (Gly-GDC, r = 0.802**; Gly-SHMT, r = 0.913***), indicating flow through Ser formation. Although Ser concentrations were similar in both wild-type and transgenic plants expressing PSARK::IPT, there was an increase in glycerate concentrations in transgenic plants grown under restricted water. The increase in glycerate concentrations together with the increase in GK transcripts would suggest an increased formation of glycerate to 3-phosphoglycerate that could be used for the regeneration of RuBP in the Calvin-Benson cycle.
Stomata play a paramount role in the control of water loss and gas exchange in leaves. Most studies have shown that the increase in stomatal resistance during water deficit is the main factor limiting photosynthetic A (Chernyad'ev, 1997
CKs have been shown to stimulate stomatal opening (Dodd, 2003
The accumulation of ABA has also been correlated with drought tolerance (Thompson et al., 2007 Our results showed that there were no significant differences in stomatal conductance between leaves from wild-type and PSARK::IPT plants grown under optimal or restricted watering. On the other hand, there was a significant reduction in the Jmax and TPU only in wild-type plants during growth under restricted watering, indicating a biochemical control of photosynthesis during growth under water limitation. The increased IPT expression observed in both transgenic lines (Supplemental Fig. S2), the stress-induced increase in the CK content of transgenic plants expressing PSARK::IPT, and the results presented in this work clearly support a role of endogenous CK production in the protection of biochemical processes associated with photosynthesis during water stress.
Plant adaptations to water deficiency are associated with functional and structural rearrangements of the photosynthetic machinery, and many of these changes are regulated by CKs and other phytohormones (Chernyad'ev, 2005
The contribution of photorespiration to the tolerance of the transgenic plants to restricted watering regimes was also indicted by the increase in transcripts coding for enzymes involved in the conversion of glycolate to RuBP. Thus, transcripts coding for Rubisco, PGPase, GO, GDC, SHMT, and GK were increased in the transgenic plants expressing PSARK::IPT but not in wild-type plants. Moreover, the increase in transcripts was enhanced in the transgenic plants grown under restricted watering conditions, suggesting a contribution of photorespiration in the protection of photosynthetic processes and a beneficial role during stress (Wingler et al., 2000
Transgenic plants growing under control conditions displayed glycerate levels that were lower than those found in wild-type plants. However, GK transcription levels in the transgenic plants grown at optimal watering conditions were 4-fold higher than those in the wild type, suggesting the occurrence of photorespiration and the flow and conversion of glycerate into 3-phosphoglycerate. This observation, together with the increases in GDC and SHMT, would indicate the flow of photorespiratory metabolites (Gly and Ser) to the regeneration of RuBP by the Calvin-Benson cycle. Because the capacity for RuBP regeneration (Jmax) was not affected in the transgenic plants grown at both restricted and optimal watering, a possible feedback on RuBP regeneration by the higher glycerate concentration in the transgenic plants under restricted water can be ruled out. Glycerate contents significantly increased in the transgenic plants growing under restricted watering. These results were unexpected, since under restricted watering the transcription levels of GK were more than 10-fold higher than those of wild-type plants growing under the same conditions. It is possible that the accumulation of glycerate under water deficit could lead to a feedback regulation of photosynthetic activity (Schimkat et al., 1990 In conclusion, here we have demonstrated a novel CK-mediated induction of photorespiration during water deficit. The induction of PSARK::IPT expression and CK production in transgenic tobacco plants grown under restricted water resulted in the protection of a biochemical process associated with photosynthesis without significant effects on stomatal limitations. Our results indicate the possibility of generating transgenic plants with increased WUE and increased tolerance to water deficit.
Experimental Design
Seeds of wild-type tobacco (Nicotiana tabacum SR1) and two independent transgenic lines expressing PSARK::IPT were sown in soil (Metro-Mix 200; Sun Gro) in a growth chamber (500 µmol photons m–2 s–1, 16-h photoperiod, 25°C) for 15 d until the appearance of the first two true leaves. During this time, no differences in germination time and in plant development between the wild type and both PSARK::IPT lines were observed. Fifty plants of each genotype were transferred and transplanted (10-L pots) to a greenhouse, where they were grown for 1 week to allow acclimation of the plants to the new conditions (1,000 µmol photons m–2 s–1, 16-h photoperiod, 28°C–30°C/23°C–25°C day/night). At this point, half of the wild-type plants and half of the PSARK::IPT plants were selected to receive 1,000 mL of water per day (the amount of water necessary for tobacco plants to maintain cell turgor, designated as optimal watering conditions), whereas the other half of the plants received 300 mL of water per day (restricted watering conditions). This amount was considered to induce water deficit, because it produced a 50% yield reduction in the wild-type plants (Rivero et al., 2007
Gas-exchange measurements were conducted in the eighth fully expanded leaf in each genotype (wild type, PSARK::IPT4–24, and PSARK::IPT2–36) with a gas-exchange system (LI-6400; Li-Cor). Leaves were first equilibrated at a photon density flux of 1,000 µmol m–2 s–1 for at least 20 min. After this, photosynthesis was induced with 1,000 µmol photons m–2 s–1 and 400 µmol mol–1 CO2 surrounding the leaf (Ca). Leaf temperature was maintained at 25°C, and the leaf-to-air vapor pressure deficit was kept between 1 and 1.3 kPa. These conditions were kept constant for the determination of A, E, gs, and WUE. WUE was calculated by the gas analyzer software as net photosynthesis per unit of water transpired, which is equal to the ratio between photosynthesis and transpiration rates (Dewar, 1997
CO2 response curves were performed at steady state at least 30 min after clamping the leaf. Ten CO2 response curves, corresponding to eighth fully expanded leaves of 15 different plants, were obtained per each plant genotype (the wild type and both PSARK::IPT lines) and were repeated every 5 d. A and Ci were first measured at 400 µmol mol–1 Ca. Then, Ca was increased stepwise up to 1,800 µmol mol–1 and returned to its original value, followed by a stepwise decrease down to 0 µmol mol–1 Ca. A and Ci were measured at 12 different Ca values for each curve. From the A/Ci curves, the following photosynthetic parameters were calculated according to Long and Bernacchi (2003)
The relation between A and Ci was fitted with the software Photosyn Assistant (Dundee Scientific). The program uses the model proposed by Farquhar et al. (1980)
The
For scanning electron microscopy, the eighth fully expanded leaves (leaf 8) of five different plants were fixed in an aqueous solution containing 2.5% glutaraldehyde and 4% paraformaldehyde in 0.05 M cacodylate buffer (pH 7.2) for 2 h. Samples were postfixed with 1% OsO4 in the sample buffer during 1 h after the samples were dehydrated. Ultrathin sections (70 nm) of the parenchyma tobacco cells were obtained using a Reichert Ultracut ultramicrotome stained with uranyl acetate followed by lead citrate. The samples were observed with a Philips CM120 Biotwin lens (F.E.I.).
cDNAs were obtained from two independent RNAs corresponding to the same sample using the SuperScript VILO synthesis kit (Invitrogen). This procedure was done with tissues from wild-type plants and both PSARK::IPT plants growing under control conditions (1,000 mL d–1) or under water deficit (300 mL d–1) so that every sample was represented by two independent cDNAs. From each cDNA, three replicates were placed on a 96-well plate, so that every sample was represented by six replicates. For all targets analyzed, the primers were designed using ABI Primer Express software. For IPT expression, the primers used were IPT-forward (5'-CCAAGGCCAGAGTTAAGCAG-3') and IPT-reverse (5'-TTTGCGTCAAGCTGCAATAG-3'). For ABA metabolism, four different targets were analyzed: ABA3, NCED, and AAO2 for ABA synthesis and ABA 8-hydrolase for ABA degradation. The primers used for the amplification of these products were ABA3-forward (5'-AGCACCAGGATTGCAAAAAC-3') and ABA3-reverse (5'-CTTTTGGCACTGAAGCATGA-3'), NECD-forward (5'-TCGTCTTCTCCTTGCTGTT-3') and NCED-reverse (5'-TAGAAGCCGGAATGGTGAAC-3'), AAO2-forward (5'-CGGCGACTCCATCTGTTAAT-3') and AAO2-reverse (5'-GATGAAGAAGGTCGGAGCTG-3'), and ABA 8-hydrolase-forward (5'-CCTACCACTTCCCAC-CTGAA-3') and ABA 8-hydrolase-reverse (5'-GGAAGGTGATGCCTTTGTTC-3'). From the photorespiratory pathway, six different targets were analyzed (Rubisco small subunit [smRubisco], PGPase, GO, GDC, SHMT, and GK). The primers were designed using the ABI Primer Express Software, and their sequences are as follows: smRubisco-forward (5'-AGTGCGGCAACGGTAATATC-3') and smRubisco-reverse (5'-TCAACAAAGTCCGGAGAACC-3'), PGPase-forward (5'-GGCTCTACAAAGCGTGAACC-3') and PGPase-reverse (5'-GAGTTTTGCAGCCACCATTT-3'), GO-forward (5'-CTACTATGCCTCGGGAGCTG-3') and GO-reverse (5'-CCTTCAGGATGTGCCATTTT-3'), GDC-forward (5'-CAACAGCCAACGCACTAAGA-3') and GDC-reverse (5'-GCTCCAAAACTGCTTCCTTG-3'), SHMT-forward (5'-CAAAGCAACTGAATGCTCCA-3') and SMHT-reverse (5'-TGACTGATCCAACTGCTTGC-3'), and GK-forward (5'-GCCTCAAGGATGTGGAAAAA-3') and GK-reverse (5'-ATCATGGCTTCCAGCATTTC-3'). Two independent internal controls (18S rRNA and Ubiquitin-Conjugated Protein2 [UBQ2]), whose expression did not change over the amplification in the different samples, were processed in parallel. The primers used were as follows: 18S-forward (5'-ATGATAACTCGACGGATCGC-3') and 18S-reverse (5'-CTTGGATGTGGTAGCCGTTT-3') and UBQ2-forward (5'-TGAGGATTACCCCAACAAGC-3') and UBQ2-reverse (5'-AGGTGAGTTGGGGTTTGGAT-3'). The amplification was performed in a total reaction volume of 20 µL. Reactions included 2 µL of template, 10 µL of Fast SYBR Green Master Mix, 0.9 µL of reverse primer, 0.9 µL of forward primer, and sterile molecular biology-grade water to a total volume of 20 µL. All PCRs were performed with the exact reaction cycling conditions as follows: 95°C for 10 min followed by 40 cycles of 95°C for 3 s and 60°C for 30 s. A melt curve for every target analyzed was included with the following conditions: 95°C for 15 s, 60°C for 1 min, and 95°C for 15 s. Amplification and data analysis were carried out on an ABI StepOne Plus real-time PCR system (Applied Biosystems) taking as internal controls 18S rRNA and UBQ2 and as a sample control wild-type plants growing under control conditions (1,000 mL d–1). All template and primer concentrations were optimized for the reactions.
Sample Extraction
Metabolite Quantitation Amino acids were measured using the precolumn AccQ·Tag Ultra UPLC derivatization kit (Waters Corporation). Reagents for derivatization were prepared and derivatization was performed according to the manufacturer's protocol. For derivatization, 80 µL of borate buffer was added to 10 µL of the extract, followed by 20 µL of reagent solution. The reaction mixture was mixed immediately and heated to 55°C for 5 min. LC-MS-photodiode array analysis was performed on an LC-MS system composed of the Waters Acquity UPLC system (Waters Corporation) equipped with the Acquity photodiode array detector interfaced with the ThermoFisher LTQ mass spectrometer (ThermoFisher). UPLC separation was performed on the AccQ·Tag Ultra column (1.7 µm, 100 mm x 2.1 mm i.d.) from Waters. The flow rate was 0.7 mL min–1, and the column temperature was kept at 55°C. The injection volume was 2 µL, and the detection wavelength was set at 260 nm. The solvent system consisted of two eluents: AccQ·Tag Ultra eluent A concentrate (5%, v/v) and water (95%, v/v; eluent A) and AccQ·Tag Ultra eluent B. The profile was as follows: 0 to 0.54 min, 99.9% A and 0.1% B; 5.74 min, 90.9% A and 9.1% B; 7.74 min, 78.8% A and 21.2% B; 8.04 min, 40.4% A and 59.6% B; 8.73 to 10 min, 99.9% A and 0.1% B. Mass spectrometry detection was performed on the LTQ linear ion trap mass spectrometer (ThermoFisher). Column effluent was ionized by ESI, and the mass spectrometer was operated in full-scan positive mode under the following conditions: ESI spray voltage, 3,500 V; nitrogen sheath gas, 32 angstrom units; nitrogen auxiliary gas, 4 angstrom units; ion transfer capillary temperature, 275°C. Amino acid quantitation was performed using calibration curves with stable isotope-labeled internal standards L-Ser-2,3,3-d3 (Cambridge Isotopes Laboratories) and L-Pro-2,5,5-d3 (C/D/N Isotopes) that were added to each sample. Commercially available forms of the amino acids were purchased from Sigma-Aldrich and used to prepare the calibration curves.
ANOVA was conducted using Student's t test in Statistica (version 6.0; StatSoft). For all parameters, either the Student's t test or the nonparametric Mann-Whitney U test for independent samples, in accordance with the preliminary Levene's test for equality of variances (P < 0.05), was used to test the differences between transgenic and wild-type plants and between control and restricted water amounts. A correlation analysis was also performed between the different variables. Levels of significance are represented by asterisks as follows: * P < 0.05, ** P < 0.01, *** P < 0.001; NS indicates not significant (P > 0.05).
The following materials are available in the online version of this article.
We thank Dr. Elias Bassil and other members of the Blumwald laboratory for helpful discussions. Received April 1, 2009; accepted April 25, 2009; published May 1, 2009.
1 This work was supported by the University of California Discovery Program, Arcadia Biosciences, and the Will W. Lester Endowment, University of California, Davis. 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: Eduardo Blumwald (eblumwald{at}ucdavis.edu).
[W] The online version of this article contains Web-only data.
[OA] Open Access articles can be viewed online without a subscription. www.plantphysiol.org/cgi/doi/10.1104/pp.109.139378 * Corresponding author; e-mail eblumwald{at}ucdavis.edu.
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