In rice (Oryza sativa L.), leaf photosynthesis is known to be highly correlated with stomatal conductance; however, it remains unclear whether stomatal conductance dominantly limits the photosynthetic rate. SLAC1 is a stomatal anion channel protein controlling stomatal closure in response to environmental [CO(2)]. In order to examine stomatal limitations to photosynthesis, a SLAC1-deficient mutant of rice was isolated and characterized. A TILLING screen of N-methyl-N-nitrosourea-derived mutant lines was conducted for the rice SLAC1 orthologue gene Os04g0674700, and four mutant lines containing mutations within the open reading frame were obtained. A second screen using an infrared thermography camera revealed that one of the mutants, named slac1, had a constitutive low leaf temperature phenotype. Measurement of leaf gas exchange showed that slac1 plants grown in the greenhouse had significantly higher stomatal conductance (g (s)), rates of photosynthesis (A), and ratios of internal [CO(2)] to ambient [CO(2)] (C (i)/C (a)) compared with wild-type plants, whereas there was no significant difference in the response of photosynthesis to internal [CO(2)] (A/C (i) curves). These observations demonstrate that in well-watered conditions, stomatal conductance is a major determinant of photosynthetic rate in rice.
In rice (Oryza sativa L.), leaf photosynthesis is known to be highly correlated with stomatal conductance; however, it remains unclear whether stomatal conductance dominantly limits the photosynthetic rate. SLAC1 is a stomatal anion channel protein controlling stomatal closure in response to environmental [CO(2)]. In order to examine stomatal limitations to photosynthesis, a SLAC1-deficient mutant of rice was isolated and characterized. A TILLING screen of N-methyl-N-nitrosourea-derived mutant lines was conducted for the riceSLAC1 orthologue gene Os04g0674700, and four mutant lines containing mutations within the open reading frame were obtained. A second screen using an infrared thermography camera revealed that one of the mutants, named slac1, had a constitutive low leaf temperature phenotype. Measurement of leaf gas exchange showed that slac1 plants grown in the greenhouse had significantly higher stomatal conductance (g (s)), rates of photosynthesis (A), and ratios of internal [CO(2)] to ambient [CO(2)] (C (i)/C (a)) compared with wild-type plants, whereas there was no significant difference in the response of photosynthesis to internal [CO(2)] (A/C (i) curves). These observations demonstrate that in well-watered conditions, stomatal conductance is a major determinant of photosynthetic rate in rice.
Stomatal pores in the epidermis provide gates for two very important plant processes, photosynthesis and transpiration. Terrestrial plants open and close stomata to regulate CO2 uptake and water evaporation in response to environmental and biochemical stimuli. In principle, increases in stomatal conductance (g
s), which regulates gas exchange (CO2 and water), can allow plants under well-watered growth conditions to increase their CO2 uptake and subsequently enhance photosynthesis. However, the relationship between stomatal conductance, CO2 uptake, and photosynthesis is not so simple in nature. Since a large number of environmental factors affect stomatal aperture (Willmer and Fricker, 1996), the contribution of stomatal regulation to photosynthesis can vary depending on the plant species.In rice (Oryza sativa L.), stomatal aperture as well as conductance is strongly correlated with leaf photosynthesis (Ishihara and Saito, 1987; Hirasawa et al., 1988). Whereas photosynthesis by rice leaves is also influenced by other factors, such as leaf nitrogencontent (Ishihara et al., 1979; Makino et al., 1988) and content of the enzyme ribulose-1,5-bisphosphate carboxylase/oxygenase (Rubisco) (Makino et al., 1987), stomatal conductance is co-dominantly correlated with the rate of leaf photosynthesis. For example, an indica rice variety Takanari is known as a high-yielding variety that has higher grain yield and dry matter production compared with common rice varieties even at the same rate of nitrogen application (Xu et al., 1997). It has been reported that the high-yielding capacity of Takanari is caused by higher stomatal conductance that was responsible for a high rate of leaf photosynthesis (Xu et al., 1997; Taylaran et al., 2011). Habataki is also a high-yielding rice variety and exhibited higher leaf photosyntheticcapacity that paralleled its higher stomatal conductance (Adachi et al., 2011). Previous studies have shown that varietal differences in stomatal conductance are positively correlated with leaf conductance (Maruyama and Tajima, 1990) as well as with the rate of photosynthesis (Ohsumi et al., 2007). While other factors, such as cuticular conductance and leaf boundary layer conductance, also contribute to whole leaf conductance, these studies show a high correlation between leaf conductance and stomatal conductance. However, it is unclear whether stomatal conductance dominantly limits the photosynthesis.The SLAC1 gene was isolated from Arabidopsis and encodes an anion transporter protein that is localized in the membrane of stomatal guard cells (Negi et al., 2008; Vahisalu et al., 2008). SLAC1 protein is essential for stomatal closure in response to [CO2], and SLAC1-deficient mutants exhibited a constitutive low leaf temperature phenotype caused by increased respiration. SLAC1 expression specifically occurred in stomatal guard cells, and only stomatal closure was directly affected by the SLAC1 deficiency. At least in the growth chamber, the apparent phenotype of SLAC-deficient mutants was restricted to the guard cells, and no differences in tissue organization were detectable compared with wild-type plants. A SLAC1-deficient plant, therefore, would be a useful model for studying the influence of stomatal conductance on gas exchange and photosynthesis under varying environmental conditions.In this study, a riceSLAC1-deficient mutant, designated slac1, was generated and characterized. In the slac1 mutant, stomata were constitutively opened and CO2 assimilation concomitantly increased. Phenotypic observations and measurement of gas exchange in response to [CO2] changes suggest that in riceSLAC1 is involved in stomatal closure, as was observed in Arabidopsis, and that stomatal conductance limits photosynthesis in well-watered growth conditions.
Materials and methods
Plant material and treatments
Seeds of wild-type rice (O. sativa L. cv. Taichung 65) and the slac1 mutant were sown on a commercial soil mixture (SunAgro Baiyodo) in plastic pots and placed in a growth chamber (Advantec IS-2300) maintained at a temperature of 25 °C with constant fluorescent lighting (230 μmol m–2 s–1) or in a greenhouse at 28 °C/23 °C day/night cycles under natural sunlight. The light intensity of sunny days under full sunlight inside the greenhouse was 1500–2000 μmol m–2 s–1. To avoid drought stress, the relative humidity was maintained at 70% by using an ultrasonic humidifier (UCAN).
RNA extraction, cDNA synthesis, and quantitative RT-PCR
RNA isolation and cDNA synthesis were carried out as previously described (Kusumi et al., 2010a, 2011) by real-time quantitative RT-PCR (qRT-PCR) with an Mx3000P thermocycler (Stratagene) and with the Brilliant III Ultra-Fast QPCR Master Mix (Agilent). Primers used for qRT-PCR were designed from the sequences of SLAC1 (DDBJ accession no. AK106615) and rice orthologue genes of HT1 (DDBJ accession no. AK119586) and STOMAGEN (DDBJ accession no. AK063138). A housekeeping gene UBQ10 (DDBJ accession no. AK101547) was used as an internal control (Jain et al., 2006). The sequences of primers are presented in Supplementary Table S2 available at JXB online. The PCR conditions were as follows: initial denaturation at 94 °C for 3min; and 45 cycles of 94 °C for 15 s, 65°C for 15 s, and 72°C for 30 s. All experiments were performed in triplicate and the data were analysed using MxPro software (Stratagene).
Prediction of 3D structure
In order to predict the 3D structure of SLAC1, the Phyre2 server was used (Kelley and Sternberg, 2009). A Phyre2 output model was generated based on the template of Haemophilius influenzae TehA (PDB ID: 3M72) from the tellurite resistance/dicarboxylate transporter family. Structural alignment of SLAC1 and TehA was performed using the Matchmaker tool of UCSF Chimera (Pettersen et al., 2004).
Thermal imaging
Thermal images of rice plants were obtained using a thermal video system (Nippon Avionics TVS-8500) as previously described (Hashimoto et al., 2006). Plants were grown on a soil mixture (Baiyodo; SunAgro, Japan) for 14 d in a growth chamber (constant white light of 150 μmol m–2 s–1 at 25 °C, 50% relative humidity), and then transferred to an environmental chamber (constant white light of 200 μmol m–2 s–1 at 25 °C, 40% relative humidity), equipped with an automaticCO2control unit (Koito FR-SP). After 2h of adaptation to a low [CO2] (100 ppm), thermal images were captured under different CO2conditions.
Measurement of C and N concentrations
The concentrations of organiccarbon and nitrogen in leaves were measured as previously described (Kusumi et al., 2010b). Tissue samples were heated in a microwave oven for 60 s, dried for 2h in a drying oven at 70 °C, and vacuum dried for 2h. The dry weights of each sample were measured and then C and Nconcentrations were determined using a CHN analyzer (Yanaco MT-5).
Gas exchange measurements
The photosynthetic rate (A), leaf conductance (g
s), and intercellular [CO2] (C
i) were measured using a portable gas exchange fluorescence system (Walz GFS-3000). For these experiments, wild-type and slac1 mutant plants were grown on soil in 18 litre pots under greenhouse conditions. Measurements were made on the middle portion of the sixth or seventh leaf of seedlings at the 7.5 stage (Itoh et al., 2005) between 11:00h and 13:00h on 3 August. The leaf cuvette environment was controlled at a photosynthetically active radiation (PAR) of 1200 μmol m–2 s–1, relative humidity 60%, leaf temperature 25 °C, and [CO2] of 380 ppm, unless otherwise noted. To analyse the photosynthetic activity without the effect of stomatal conductance, the photosynthetic rate at the same C
was also measured. The C
value was calculated as described (von Caemmerer and Farquhar, 1981).
Stomatal density measurements
Fully expanded flag leaves of wild-type and slac1 mutant seedlings grown on soil in the greenhouse were sampled. A drop of instant glue (Konishi Aron Alpha) was applied to a glass slide, and the middle portion of a sampled leaf was pressed on the glue for ~30 s. The leaf was removed and the imprint on the glass slide was observed under a light microscope. Stomatal density was calculated using ×100 magnification and a 0.5 mm×0.5mm mask.
Results
SLAC1 orthologue gene in rice
SLAC1 was originally cloned from Arabidopsis and proposed to encode a guard cell anion channel (Negi et al., 2008; Saji et al., 2008; Vahisalu et al., 2008) that is related to yeast and bacterial malate transporters. SLAC1 belongs to a small gene family with five members in Arabidopsis, whereas rice has nine homologous proteins (Fig. 1A) (Vahisalu et al., 2008). Among them, Os04g0674700 (MSU accession: LOC_Os04g57850.1) is the closest rice homologue of the ArabidopsisSLAC1 gene At1g12480 (Fig. 1A). Both Os04g0674700 and At1g12480 have three exons, and the positions of the introns within the DNA sequence are fully conserved (Fig. 1B). The putative amino acid sequence of Os04g0674700 shares 64% identity and 91% similarity with that of At1g12480 (Fig. 2). The previously reported phosphorylation sites in ArabidopsisSLAC1, S59, S86, S113, and S120 (Geiger et al., 2010; Vahisalu et al., 2010), are all conserved in Os04g0674700 (Fig. 2). Furthermore, it was confirmed that the predicted 3D structure of Os04g0674700 overlapped greatly with that of the already known SLAC1 orthologue H. influenzae TehA (Supplementary Fig. S1 at JXB online), as was reported in Arabidopsis (Chen et al., 2010; Du et al., 2011). When the amino acid sequence of the SLAC1 middle transmembrane region (F201–F515) was used to query the PDB database, the Phyre2 server exhibited 100% confidence with the structure of template TehA (PDB ID: 3M72). The spatial distribution of 10 transmembrane helices was well conserved between SLAC1 and TehA, and helical hairpins are arranged with a quasi 5-fold symmetry as reported in ArabidopsisSLAC1. No other ricecandidate genes with high sequence similarity and structure were found. This was, therefore, designated as SLAC1.
Fig. 1.
Gene structure of rice SLAC1. (A) A phylogenetic tree of the rice and Arabidopsis SLAC1 protein families, Escherichia coli TehA, and Saccharomyces pombe Mae1. (B) Schematic drawing of the rice SLAC1 gene. Boxes represent exons and black lines indicate introns. Exons in black were represented in the cDNAs, and the grey exon segments at the 5’ and 3’ ends indicate untranslated regions. The sites of mutations screened by the TILLING assay are indicated below. The arrows indicate the positions of the PCR primers used for TILLING assay.
Fig. 2.
Amino acid sequence alignment of the rice (Os) and Arabidopsis (At) SLAC1 full-length sequences. Identical residues are shaded in black and similar residues are shown in grey (similarity threshold of 0.4 for shading). Grey bars below the sequences indicate helical segments predicted from comparison with Haemophilius influenzae TehA (Chen et al., 2010). Asterisks indicate the phosphorylation sites in the Arabidopsis SLAC1 protein reported by Vahisalu et al. (2010). The arrows indicate the location of the amino acid substitutions occurring in the mutant line 5S56 shown in Table 1.
Gene structure of riceSLAC1. (A) A phylogenetic tree of the rice and ArabidopsisSLAC1 protein families, Escherichia coli TehA, and Saccharomyces pombe Mae1. (B) Schematic drawing of the riceSLAC1 gene. Boxes represent exons and black lines indicate introns. Exons in black were represented in the cDNAs, and the grey exon segments at the 5’ and 3’ ends indicate untranslated regions. The sites of mutations screened by the TILLING assay are indicated below. The arrows indicate the positions of the PCR primers used for TILLING assay.Amino acid sequence alignment of the rice (Os) and Arabidopsis (At) SLAC1 full-length sequences. Identical residues are shaded in black and similar residues are shown in grey (similarity threshold of 0.4 for shading). Grey bars below the sequences indicate helical segments predicted from comparison with Haemophilius influenzae TehA (Chen et al., 2010). Asterisks indicate the phosphorylation sites in the ArabidopsisSLAC1 protein reported by Vahisalu et al. (2010). The arrows indicate the location of the amino acid substitutions occurring in the mutant line 5S56 shown in Table 1.
Table 1.
Mutant lines found for the SLAC1 gene region
Line
Base change
Position from ATG
Amino acid change
Region
15S28
G/A
37
Gly/Ser
CDS (exon 1)
17S62
C/T
493
Pro/Ser
CDS (exon 1)
2S66
G/A
576
Intron
5S54
C/T
896
Arg/Cys
CDS (exon 2)
5S54
C/T
1161
Ala/Val
CDS (exon 2)
5S54
G/C
1208
Gly/Arg
CDS (exon 2)
18S59
C/T
1715
Pro/Ser
CDS (exon 3)
Base change: original nucleotide/mutated nucleotide.
Amino acid change: original amino acid/changed amino acid.
Stomatal development in rice epidermis occurs in differentiating young leaves. Successive leaves develop in an ordered manner, and the number of growing leaves in one shoot is practically constant throughout plant development. When a new leaf emerges, there usually are five younger leaves at different developmental stages. These leaves, which are concealed by the older leaf sheaths, go through successive stages of development, from P0 (leaf founder) to P5 (emerging leaf; Fig. 3A) (Nemoto and Yamazaki, 1993; Itoh et al., 2005; Kusumi et al., 2010a). An anatomical study revealed that the stomatal cell row on the leaf epidermis is determined at the P3 stage and stomatal cells appear during the P4 stage (Itoh et al., 2005). Therefore, the expression of SLAC1 was examined by qRT-PCR in developing leaves (Fig. 3B). The expressions of HT1, which encodes a protein kinase involved in CO2-dependent stomatal movement, and STOMAGEN, which encodes a positive regulator of stomatal density, were also measured (Hashimoto et al., 2006; Sugano et al., 2010). qRT-PCR analyses suggested that transcripts of SLAC1 and STOMAGEN had already abundantly accumulated in the shoot base tissue containing developing leaves at the P0–P3 stages, and levels gradually decreased during the P4 stage. Expression of HT1 was also observed in the early P4 stage but peaked during the late P4 stage. Expression of MUTE and FAMA, basic helix–loop–helix (bHLH)-type transcription factors regulating early stomatal development, was reported to occur mostly during the same stages, P1–P4 (Liu et al., 2009), a finding consistent with the present results. The parallel expression of SLAC1 with other genes involved in stomatal formation suggests the involvement of SLAC1 in rice stomatal development.
Fig. 3.
Expression profiles of rice SLAC1. (A) Schematic illustration of a rice seedling with a fully expanded third leaf. L1, L2, L3, and L4 indicate the first, second, third, and fourth leaf, respectively. Developmental stages (P0–P6) are also indicated. The shoot base (SB) is a 5mm segment from the bottom of the shoot containing pre-emerged leaves at stages P0–P3. (B) Transcript levels of SLAC1, HT1, and STOMAGEN in the developing rice leaves determined by qRT-PCR. Total mRNAs were isolated from the SB and developing leaves at the P4 and P5 stages. All results were normalized to the level of UBQ10 mRNA, and relative values were calculated, 1.0 representing 6cm P4 leaves. Data are the means of three independent experiments performed in triplicate, and bars represent ±SD. (C) SLAC1 mRNA accumulation in the slac1 mutant and wild-type (WT) plants. Total mRNAs were isolated from P4 and P5 leaves, and transcript levels were determined by qRT-PCR and normalized to those of UBQ10. Relative values were calculated, 1.0 representing P4 leaves of wild-type plants. Data are the means of three independent experiments performed in triplicate, and bars represent ±SD.
Expression profiles of riceSLAC1. (A) Schematic illustration of a rice seedling with a fully expanded third leaf. L1, L2, L3, and L4 indicate the first, second, third, and fourth leaf, respectively. Developmental stages (P0–P6) are also indicated. The shoot base (SB) is a 5mm segment from the bottom of the shoot containing pre-emerged leaves at stages P0–P3. (B) Transcript levels of SLAC1, HT1, and STOMAGEN in the developing rice leaves determined by qRT-PCR. Total mRNAs were isolated from the SB and developing leaves at the P4 and P5 stages. All results were normalized to the level of UBQ10 mRNA, and relative values were calculated, 1.0 representing 6cm P4 leaves. Data are the means of three independent experiments performed in triplicate, and bars represent ±SD. (C) SLAC1 mRNA accumulation in the slac1 mutant and wild-type (WT) plants. Total mRNAs were isolated from P4 and P5 leaves, and transcript levels were determined by qRT-PCR and normalized to those of UBQ10. Relative values were calculated, 1.0 representing P4 leaves of wild-type plants. Data are the means of three independent experiments performed in triplicate, and bars represent ±SD.
Screening for a SLAC1-deficient mutant
In order to find a SLAC1-deficient mutant of rice, a screening procedure called TILLING (Targeting Induced Local Lesions IN Genomes), whereby pinpoint mutations in individual genes can be detected using a PCR-based assay, was used (Till et al., 2003). A modified TILLING method with non-fluorescent primers and a rice mutant library generated by treatment of fertilized egg cell with the chemical mutagen N-methyl-N-nitrosourea (MNU) was used (Suzuki et al., 2008). For the first screening, the pooled M2 DNA samples from 874 lines (one line = six M2 plants) of Taichung 65 and Kinmaze were used. To identify the mutant line in the pool, DNA samples mixed from individual tissues of six M2 plants were used for amplifying the SLAC1 gene region. To amplify the coding region of SLAC1, two primer sets were designed from the sequence of Nipponbare obtained from the Rice Annotation Project (RAP) database (build 5.0; http://rapdb.dna. affrc.go.jp/) (Fig. 1B). Seven mutations, G37A, C493T, G576A, C896T, C1161T, G1208C, and C1795T, were detected by the TILLING screen (Table 1). Among them, G1208C was a transversion mutation and the others were transition mutations. In reference to the gene annotation (AK106615), the G576A mutation occurred in the intron, and the other mutations occurred in exons and caused amino acid changes (Table 1, Fig. 2). Mutations C896T, C1161T, and G1208C were detected simultaneously in line 5S54, and the other four mutations were found as single mutations in individual lines, 15S28, 17S62, 2S66, and 18S59 (Table 1).In Arabidopsis, SLAC1 deficiencycaused CO2-insensitive, constitutive low-temperature phenotypes (Negi et al., 2008), because leaf temperature correlates with the amount of transpired water via stomatal openings due to evaporative cooling (Merlot et al., 2002). Therefore, an additional screen was next developed using infrared thermal imaging to identify mutants that displayed phenotypes similar to ArabidopsisSLAC1-deficient mutants. M3 plants of the wild type (Taichung 65) and five mutant lines were grown for 2 weeks in a growth chamber, and were then subjected to analysis by thermography. Since a high [CO2] causes stomatal closing, there was measurable leaf warming in wild-type plants. Among the five mutant lines, 17S62 and 5S54 exhibited lower leaf temperatures than the wild type and the other mutant lines under both high and low [CO2]. Since the phenotype of 5S54 was stable and even much stronger than that of 17S62, 5S54 was named slac1 and was used in the analyses for the remainder of this study. It was confirmed that slac1 plants of the M4 generation retained the low leaf temperature phenotype (Fig. 4). Phenotype–genotype correlations in the M4 population indicated that all heterozygous plants had a phenotype indistinguishable from that of wild-type plants (Supplementary Table S2 available at JXB online), suggesting that slac1 is a recessive mutation.
Fig. 4.
Thermal images of the wild type (WT) and the slac1 mutant subjected to low (100 ppm) and high (700 ppm) atmospheric [CO2]. The subtractive images show changes in leaf temperature in response to the transfer from low to high [CO2].
Thermal images of the wild type (WT) and the slac1 mutant subjected to low (100 ppm) and high (700 ppm) atmospheric [CO2]. The subtractive images show changes in leaf temperature in response to the transfer from low to high [CO2].It was confirmed that SLAC1 transcripts accumulated in the slac1 mutant normally (Fig. 3C), showing that the slac1 mutation does not alter SLAC1 functioning at the transcriptional level. Three amino acid substitutions occurred in the slac1 mutant (Table 1), R268K, A356V, and G372K. The replacement of arginine with lysine in R268 is a conservative change and results in the substitution of a residue identical to that found in Arabidopsis, K255 (Fig. 2). Therefore, it is unlikely that R268K alters the function of SLAC1. A356 and G372 are conserved in ArabidopsisSLAC1 (Fig. 2), whereas the rice mutant contains substituted amino acids in these positions that have different properties, valine and lysine, respectively. In particuloar, G372 is known to be >95% identical within the plant subfamily SF1A for SLAC1 and within the TehA subfamily (Chen et al., 2010), and is possibly important for SLAC1 function. As reported in Arabidopsis, the riceSLAC1channel was predicted to be composed of 10 helices of two layers (Chen et al., 2010; Du et al., 2011). In the SLAC1 homology model, A356 and G372 are on the middle portions of putative inner transmembrane segment 7 (TM7) and outer segment 8 (TM8), respectively (Supplementary Fig. S1 at JXB online). Spatially A356 is located in the centre of channel near the predicted gate of the channel F461. Therefore, A356V substitution would be expected to affect channel behaviour negatively.
Stomatal density
In many plants, stomatal density positively correlates with stomatal conductance (g
s) as well as with water use efficiency (WUE) (Hetherington and Woodward, 2003; Masle et al., 2005; Xu and Zhou, 2008; Liu et al., 2012). A low leaf temperature phenotype can result from increased stomatal density via water loss through enhanced transpiration. Stomatal density was therefore measured in wild-type and slac1 mutant plants. A comparison of stomatal density in the middle portion of the flag leaf revealed that the slac1 mutation did not cause a significant change in stomatal density in either the adaxial or abaxial epidermis (Fig. 5). Together with an earlier report showing that SLAC1 deficiency does not affect stomatal density in Arabidopsis (Vahisalu et al., 2008), SLAC1 is not likely to be involved in the regulation of stomatal density.
Fig. 5.
Stomatal densities on the adaxial and abaxial surfaces of flag leaves of wild-type (WT) and slac1 mutant plants grown under 350 ppm or 700 ppm [CO2]. Data represent mean values ±SD of six independent experiments conducted with different plants.
Stomatal densities on the adaxial and abaxial surfaces of flag leaves of wild-type (WT) and slac1 mutant plants grown under 350 ppm or 700 ppm [CO2]. Data represent mean values ±SD of six independent experiments conducted with different plants.
Gas exchange
In Arabidopsis, SLAC1 is essential for stomatal closure in response to CO2, and SLAC1-deficient mutants showed constitutively higher stomatal conductance, directly due to larger stomatal apertures (Negi et al., 2008; Vahisalu et al., 2010). Therefore, the response of g
s and A to changes in the aerial [CO2] in slac1 and wild-type plants was investigated by using a portable gas exchange fluorescence system. For the measurement, wild-type and slac1 plantlets were grown on soil under greenhouse conditions. Since the g
s of field-grown rice is generally higher in the morning and around noon than in the afternoon (Shimono et al., 2010), measurements were taken at approximately noon (11:00–13:00h) on the middle portion of the sixth or seventh leaf of seedlings at the 7.5 stage (Itoh et al., 2005). Increases in [CO2] from 350 ppm to 700 ppm induced a decrease in g
s in the wild-type plants (Fig. 6A). In the slac1 mutant, stomatal conductance at 700 ppm was only slightly lower than that at 350 ppm and was maintained at a much higher level than in the wild-type plants. The means of hourly values in the mutant plants at 350 ppm and 700 ppm were ~150% and ~170% higher, respectively, than those in wild-type plants (Fig. 6B). During the same period, increases in [CO2] resulted in an increase in the rate of photosynthesis (A) in both wild-type and mutant plants (Fig. 6A), but the value for the mutant remained significantly higher than for wild-type plants. The slac1 mutant showed ~50% and ~40% higher mean hourly values at 350 ppm and 700 ppm, respectively (Fig. 6B).
Fig. 6.
Leaf photosynthetic rate changes correlate with CO2-induced stomatal conductance changes. (A) Time courses of stomatal conductance to water (g
s) and the photosynthetic rate (A) in response to changes in [CO2] in the slac1 mutant and wild-type (WT) leaves. Each value represents the mean ±SD of three leaves from 8-week-old plants. (B) The average g
s and A at 350 ppm or 700 ppm [CO2] calculated from data used in (A). Data represent mean values ±SD of three independent experiments conducted with different plants. Asterisks denote a significant difference between the mutant and wild-type plants using Student’s t-test (P < 0.001).
Leaf photosynthetic rate changes correlate with CO2-induced stomatal conductance changes. (A) Time courses of stomatal conductance to water (g
s) and the photosynthetic rate (A) in response to changes in [CO2] in the slac1 mutant and wild-type (WT) leaves. Each value represents the mean ±SD of three leaves from 8-week-old plants. (B) The average g
s and A at 350 ppm or 700 ppm [CO2] calculated from data used in (A). Data represent mean values ±SD of three independent experiments conducted with different plants. Asterisks denote a significant difference between the mutant and wild-type plants using Student’s t-test (P < 0.001).Since higher stomatal conductance may enhance CO2 diffusion into chloroplasts, the photosynthetic activity of plants was assessed through CO2 response curves. Analysing response curves between A and leaf C
i enables estimation of the relative contribution of stomatal versus non-stomatal (biochemical) limitations to photosynthesis (von Caemmerer and Farquhar, 1981). Compared with wild-type plants, mutant plants showed a slightly higher but similar A that increased proportionally to the C
i until saturation was reached (Fig. 7). On the other hand, the C
i/C
a ratio in the slac1 mutant was significantly higher than that in wild-type plants. The slac1 mutant showed an ~50% and ~30% higher C
i/C
a ratio at 800 ppm and 350 ppm C
a, respectively (Fig. 7). These observations suggest that the higher A observed in the mutant leaves was due to the larger g
s.
Fig. 7.
Photosynthetic rate at different intercellular [CO2] (A/C
i curves) of leaves from the slac1 mutant (circles) and wild type (triangles). Open and filled arrows indicate the data obtained at atmospheric [CO2] (C
a) of 400 ppm and 800 ppm, respectively. The inset graph shows C
i/C
a ratios of the slac1 mutant (filled bars) and wild-type plants (open bars) at 400 ppm and 800 ppm C
a. Each point represents the mean values ±SD of three independent experiments conducted with different plants.
Photosynthetic rate at different intercellular [CO2] (A/C
i curves) of leaves from the slac1 mutant (circles) and wild type (triangles). Open and filled arrows indicate the data obtained at atmospheric [CO2] (C
a) of 400 ppm and 800 ppm, respectively. The inset graph shows C
i/C
a ratios of the slac1 mutant (filled bars) and wild-type plants (open bars) at 400 ppm and 800 ppm C
a. Each point represents the mean values ±SD of three independent experiments conducted with different plants.Higher CO2 environments accelerate carbon fixation and modulate carbon and nitrogen balance via changes in the levels of structural and non-structural carbohydrates and proteins (Allen et al., 1988). Since the slac1 mutant possessed a higher photosyntheticcapacity compared with wild-type plants, the internal balance between carbon and nitrogen may be altered. Therefore, the effect of SLAC1 deficiency on the carbon and nitrogencontents of the same leaves used for A/C
i measurement was examined. However, significant differences were not observed in either the carbon and nitrogencontent or the C:N ratio between the wild-type and slac1 mutant leaves (Fig. 8).
Fig. 8.
Carbon and nitrogen content (A) and C/N ratios (B) in the wild-type (WT) and slac1 mutant leaves. Total carbon and nitrogen contents are expressed on a leaf dry mass basis. Bars represent mean values ±SD of three independent experiments (n=3).
Carbon and nitrogencontent (A) and C/N ratios (B) in the wild-type (WT) and slac1 mutant leaves. Total carbon and nitrogencontents are expressed on a leaf dry mass basis. Bars represent mean values ±SD of three independent experiments (n=3).
Discussion
In this study the first data are provided showing that a homologue of the SLAC1 protein originally identified in Arabidopsis is also involved in stomatal regulation in rice. Under various conditions, there is a striking correlation between photosyntheticcapacity and stomatal conductance in rice (Ishihara and Saito, 1987; Hirasawa et al., 1988); however, the relative importance of stomatal conductance in restricting the supply of CO2 for metabolism (stomatal limitation) and in altering metabolism to decrease the potential rate of photosynthesis (non-stomatal limitation) is still unclear. A riceSLAC1-deficient mutant slac1 was developed and observed, and it was concluded that in riceSLAC1 is also involved in stomatal closure, and that stomatal conductance limits photosynthesis under well-watered growth conditions.
SLAC1 function is conserved between Arabidopsis and rice
A putative SLAC1 orthologue was initially designated based on protein sequence identity and intron/exon structure. These features of the SLAC1 gene are similar between Arabidopsis and rice, and quite different from other SLAC1 homologues (Figs 1, 2; Table 1), as mentioned previously (Vahisalu et al., 2008). Alignment of predicted secondary structures (Supplementary Fig. S1 at JXB online) also indicated that this protein has structural features in common with slow anion channel proteins (Chen et al., 2010; Du et al., 2011). Accumulation of SLAC1 mRNA occurred in the early leaf developmental stage P4 along with that of other genes involved in stomatal development, STOMAGEN and HT1. Since other genes related to stomatal formation also occur during this stage (Liu et al., 2009), this suggests the involvement of SLAC1 in rice stomatal development. Compared with STOMAGEN and HT1, SLAC1 transcript preferentially accumulated in younger leaves (P0–P3 and early P4 stages). Conversely, in mature leaves, SLAC1 transcript accumulated only slightly. Considering that SLAC1 as well as HT1 regulates stomatal closure and HT1 transcripts accumulated greatly in mature P5 leaves, SLAC1 may be long-lived protein and turns over slowly.The slac1 mutation caused an increase in stomatal conductance concomitant with lowered leaf temperatures, but did not affect other observable morphological phenotypes of the mutant plants. For example, stomatal density is a representative stomatal phenotype and is known to respond to various environmental factors, such as elevated [CO2] and drought stress (Woodward, 1987; Xu and Zhou, 2008), but stomatal density was not affected in the slac1 mutant (Fig. 5).
Stomatal limitations to photosynthesis in rice
Increases in stomatal conductance caused by SLAC1 deficiency resulted in enhanced rates of photosynthesis (Fig. 6). A comparison of the A–Ccurves between the mutant and wild-type seedlings (Fig. 7) suggested that stomatal closure is the main limiting factor for the photosynthetic rate in response to alterations in [CO2]. It is generally accepted that in photosynthesizing leaves, stomatal conductance is correlated with photosynthetic rate and coordinated with the CO2 requirement of the mesophyll, such that the C
i/C
a ratio is maintained at a constant value (Wong et al., 1979, 1985; Sharkey and Raschke, 1981). Guard cells are thought to sense C
i rather than C
a, since ambient [CO2] does not vary in nature; however, in the slac1 mutant, an artificial increase in stomatal conductance results in an increase in C
i at constant C
a that does not, however, seem to be recognized by mesophyll cells, as the A–C
i curve is not significantly affected by the mutation (Figs 6, 7). This finding suggests that in rice the C
i/C
a ratio is determined by the C
i value maintained by the stomatal conductance, and that the final photosyntheticcapacity seems to be determined by stomatal conductance.Growth under constant environmental conditions in the greenhouse is, however, quite artificial. To avoid drought stress, rice plants used in this study were grown in growth chambers or in the greenhouse at 60–80% relative humidity. The relative humidity in the cuvette of a gas exchange fluorometer was also kept fairly high (60%). Preliminary observation suggested that after the slac1 mutant plants were transferred to low humidity conditions (<40%) from the standard condition, young leaves of slac1 seedlings began to roll or curl, probably caused by water loss. Similarly, the photosynthetic rate of mutant leaves significantly decreased and became quite unstable when the humidity in the cuvette was set below 50%. Therefore, the present data and conclusion are based on the assumption that, during plant growth, drought stress is avoided and that the waterconditions are optimized for photosynthesis. In fact, in field conditions, the tiller number and plant height of the slac1 plants at the end of the tillering stage were lower than in the wild type (by ~5% and ~4%, respectively), suggesting that enhanced drought stress caused by increased stomatal opening exceeds the benefits of increased CO2 assimilation.The data indicate that under controlled environmental conditions where the biochemical capacity of the photosynthetic rate is not limited and drought stress is avoided, stomatal conductance can become the primary determinant of photosyntheticcapacity in rice. An artificial increase in stomatal conductance via genetic engineering may, therefore, improve the productivity and yield of rice plants. The finding that modulation of a single gene, SLAC1, increased photosyntheticcapacity provides a new tool for the further examination of stomatal engineering for photosynthetic adaptation of rice.
Supplementary data
Supplementary data are available at JXB online.Figure S1. Alignment of the SLAC1 model structure and its template H. influenzae TehA.Table S1 Primer sequences used in this study.Table S2 Genotype–phenotype correlation in the slac1 mutant.Mutant lines found for the SLAC1 gene regionBase change: original nucleotide/mutated nucleotide.Amino acid change: original amino acid/changed amino acid.
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