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Gene response in rice plants treated with continuous fog influenced by pH, was similar to that treated with biotic stress
Rice volume 7, Article number: 10 (2014)
Throughout Asia, including Japan, rice plants are cultivated in a wide range of areas from lowlands to highlands and are frequently exposed to fog, including acid fog. Some physiological studies have shown that acid fog can be a stress factor for plants. We analyzed the gene expression profiles of rice plants treated with artificially prepared simulated acid fog (SiAF) or simulated neutral fog (SiNF) for 1 or 7 days.
Microarray analysis results suggested that both the SiAF and the SiNF treatments induced the expression of genes involved in the defense and stress responses in rice plants. Induction of such genes was detected in plants treated with SiAF for 1 day, and the number of induced genes increased in plants treated with SiAF for 7 days. The genes for defense and stress responses were also induced by SiNF for 7 days, although they were not induced by SiNF for 1 day. The gene expression profiles of the SiAF-treated and the SiNF-treated plants were compared to those of plants treated with other stress factors. The comparison revealed that both SiAF and SiNF treatments have similar effects to biotic stresses and ozone stress. The genes encoding NADPH oxidase and germin, which function in apoplasts, were also induced by SiAF, SiNF and biotic stresses.
These findings suggest that both the SiAF and the SiNF treatments may result in oxidative stress through the apoplastic production of reactive oxygen species.
Sulfur dioxide (SO2) and nitrogen oxides (NOx) emitted into the atmosphere react with moisture to form acidic solutions, resulting in acid rain or fog. Investigations of the effects of acid rain or fog on plants have shown that these factors have negative effects on plant growth, including lesion formation, chlorosis, and reduction of biomass (Ferenbaugh ; Igawa and Okochi ), the extent of which depends on the pH and the frequency of the treatment (Evans et al. ). In Arabidopsis, acid rain treatment results in symptom development and the induction of genes in the signaling pathway mediated by salicylic acid (SA). Moreover, SA-mediated gene responses were shown to be induced by acid rain containing sulfate but not by acid rain containing nitrate (Lee et al. ).
Acid rain treatment is also known to generate reactive oxygen species (ROS) in plants (Gabara et al. ; Velikova et al. ; Wyrwicka and Sklodowska ), and ROS are associated with the disturbance of organelle structures (Gabara et al. ; Torres ). Gaseous SO2 treatment also induces ROS generation in plants, and ROS accumulate in the apoplast (Li et al. ). The type and timing of antioxidant gene induction is dependent on the plant species (Velikova et al. ; Wyrwicka and Sklodowska ). Similarly, the severity of symptoms induced by acid rain treatment is also dependent on the plant species (Haines et al. ; Wang et al. ).
Rice is a major crop cultivated in both lowland and mountainous (highland) areas in Asia, including Japan. Fog events occur more frequently in highland areas because the temperature differences between day and night and between different sites are greater than those in lowland areas. Rice plants cultivated in highlands are therefore frequently exposed not only to fog but also to acid fog. Generally, the pH of acid fog is lower than that of acid rain. In Japan, acid fog has been detected in highlands (Igawa et al. ) and has been suggested to be associated with the growth injury to rice that is sometimes observed in highland areas in Nagasaki, Kyushu.
Rice is known to show resistance to acid rain (Wang et al. ), but the mechanism of this resistance has not been investigated. Moreover, the gene responses of rice plants to acid fog treatment have not been investigated. In the present study, therefore, we have analyzed the gene responses in rice plants treated not only with an acid fog but also with a neutral fog, and we have conducted a comparative analysis of the gene responses between fog treatment and other stress treatments to investigate possible common regulatory mechanisms between fog treatment and other abiotic and biotic stresses.
Gene responses induced by fog treatments
Visual symptoms were not observed in either the simulated acid fog (SIAF)-treated or the simulated neutral fog (SiNF)-treated rice plants at the end of the 7-day fog treatments. Symptoms such as chlorosis were, however, observed on leaves treated with SiAF for 14 days (Ito et al. ). To analyze whether rice plants responded to either the SiAF or the SiNF treatment at a biochemical level during the 7-day fog treatments, we analyzed the gene responses in both the SiAF- and the SiNF-treated plants by using a 60-mer oligonucleotide microarray.
The expression of 22,328 genes was detected in at least one condition by this microarray system (Additional file 1: Table S1). The number of significantly differential expressed genes (DEGs) in the SiAF-treated rice plants was dependent on the length of treatment: 1,626 and 3,554 genes in plants treated for 1 and 7 days, respectively (Figure 1a). The frequency of commonly activated DEGs between the 1- and 7-day SiAF-treated plants was higher than that of commonly suppressed DEGs (Figure 1a). The number of DEGs was similar, at 1,719 and 1,438 genes, respectively, between rice plants that underwent SiNF treatment for 1 and 7 days (Figure 1b). The frequency of common DEGs between plants treated with SiNF for 1 and 7 days was lower than that between plants treated with SiAF for 1 and 7 days (Figure 1a and b). Some of the DEGs detected by the microarray analysis were also analyzed by RT-PCR, and the gene responses detected by the microarray analysis were confirmed by the RT-PCR results (Additional file 2: Figure S1).
DEGs were also compared between the SiAF- and SiNF-treated plants (Figure 1c-f), and more than 70% of the DEGs in plants treated with SiNF for 7 days (1,039 of 1,438) responded similarly in plants treated with SiAF for 7 days (Figure 1d), although only approximately 30% of the DEGs in plants treated with SiNF for 1 day (545 of 1,719) responded to the 1-day SiAF treatment (Figure 1c). Moreover, 195 of the DEGs in plants treated with SiNF for 1 day demonstrated the opposite response (upregulated in one and downregulated in the other) compared with plants exposed to the 7-day SiAF treatment (Figure 1f). Therefore, the effect of the 1-day SiNF treatment on gene expression appears to substantially differ from those of other fog treatments.
ROS generation and antioxidant systems
ROS production and scavenging occur at different sites in cells, including the apoplast, cytosol, and various organelles (Torres ; Gill and Tuteja ; Miller et al. ). In the apoplast, O2− is produced by NADPH oxidases located on the plasma membrane (Gill and Tuteja ; Miller et al. ; Torres ). Two genes encoding NADPH oxidases (LOC_Os05g45210, LOC_Os09g26660) were activated by the 7-day SiAF treatment (Figure 2, Additional file 1: Table S1). Another gene encoding an NADPH oxidase (LOC_Os01g61880) was also induced by the 7-day SiNF treatment (Figure 2). The germin protein family is a pathogenesis-related (PR) protein family that functions at the apoplast (Manosalva et al. ; van Loon et al. ) and reduces O2− to H2O2 (Banerjee and Maiti ; Gill and Tuteja ). The expression of certain germin-encoding genes (LOC_Os03g58980, LOC_Os08g08920, LOC_Os08g09010, LOC_Os08g09060, LOC_Os08g13440) was activated in plants treated with SiAF for 7 days (Figure 2). Moreover, the expression of germin-encoding genes was also activated by the 1- and 7-day SiNF treatment; however, the number of induced genes and the degree of induction in the 7-day SiNF-treated plants was less than those in the 7-day SiAF-treated plants.
Electron transport chain systems in the mitochondria, chloroplasts, and peroxisomes are sources of ROS generation, and the reduction of organelle function leads to the overproduction of ROS (Gill and Tuteja ; Miller et al. ; Torres ). However, the microarray data indicate that the expression of genes important for the function of these organelles was not affected by either the SiAF or the SiNF treatment (Table 1). The antioxidant systems in the organelles and cytosol comprise the same family of genes (Gill and Tuteja ; Miller et al. ; Torres ). The SiAF treatment induced many genes encoding glutathione S-transferase (GST) and thioredoxin (TRX) (Figure 2), although a few genes encoding other ROS scavengers were also changed by fog treatment (Figure 2). The induction of GST genes was detected in plants treated with SiAF for 1 and 7 days, but the induction of TRX genes was detected only in plants treated with SiAF for 7 days (Figure 2). The genes encoding GST and TRX were also induced by the 7-day SiNF treatment (Figure 2); however, the number of DEGs and the degree of their responses to SiNF treatment were smaller than those of the 1-day SiAF treatment (Figure 2).
The genes involved in defense processes in plants respond to both biotic and abiotic stress conditions, and expression of these genes is controlled by plant hormones such as jasmonic acid (JA), ethylene (ET), SA, and abscisic acid (ABA) (Fujita et al. ; Horváth et al. ). Genes necessary for JA synthesis (Wasternack ) were induced not only by the 1- and 7-day SiAF treatments but also by the 7-day SiNF treatment (Figure 3a). The induction was detected at some reaction steps in JA synthesis; moreover, the gene encoding lipoxygenase (LOX) was highly induced by fog treatment. The expression of JAZ (Jasmonate ZIM domain) genes, which are JA responsive (Ye et al. ), was also activated by both the SiAF and the SiNF treatments. Moreover, the degree of gene induction in plants treated with SiAF for 7 days was higher than that of plants treated with SiNF for 7 days (Figure 3). The genes required for ET synthesis were also induced in plants treated with either SiAF or SiNF for 7-days, and the degree of induction by SiAF treatment was again higher than that by SiNF treatment (Figure 3b). However, the frequency of induced genes in ET synthesis was lower than that in JA synthesis. Moreover, almost all genes involved in ET signaling did not respond to fog treatment. The expression of genes for SA synthesis varied in plants treated with SiAF for 7 days, although SA synthesis itself did not appear to be induced by SiAF treatment (Table 1). Genes for ABA synthesis were not induced by either the SiAF or the SiNF treatment (Table 1).
In hormone-mediated defense systems, transcription factors such as those belonging to the AP2-EREBP and WRKY families control the expression of defense-related genes such as the PR proteins (Pré et al. , Shimono et al. ). The genes encoding the AP2-EREBP proteins were induced not only by the SiAF treatment but also by the 1- and 7-day SiNF treatments (Table 1). Many DEGs encoding WRKY proteins were induced by both the SiAF and the SiNF treatments (Table 1). The degree of induction by the 7-day SiAF treatment was greater than that by the 1-day SiAF treatment or the 7-day SiNF treatment (Additional file 3: Table S2).
PR proteins are categorized according to their functions, and they are involved in defense responses to biotic and abiotic stresses (van Loon et al. ). The expression of genes encoding PR proteins was influenced by both the SiAF and the SiNF treatments, but the direction of the gene response was dependent on the gene family (Table 1). The number of DEGs and their degree of induction were greater after the 7-day SiAF treatment than the 7-day SiNF treatment (Table 1).
Genes involved in chlorophyll metabolism responded to the 7-day SiAF and the SiNF treatments (Figure 4). Moreover, the direction of the gene response was dependent on the process: the genes for chlorophyll synthesis and the conversion between chlorophyll a and b were suppressed by the 7-day SiAF and the SiNF treatments; however, the genes for chlorophyll degradation, such as pheophorbide a oxygenase (LOC_Os03g05310), were activated by these treatments (Figure 4). The number of DEGs was greater after SiAF treatment than after SiNF treatment (Figure 4).
Genes encoding cell wall components also responded to fog treatment, and the direction of the gene response to fog treatment was also dependent on the gene function (Table 1). The genes encoding expansin were suppressed by the SiAF and the SiNF treatments. The suppression occurred in both the 1- and 7-day SiAF treatments, but it only occurred in the 7-day SiNF treatment (Table 1). On the other hand, the genes encoding cellulose synthase and synthase-like protein were induced by both the SiAF and the SiNF treatments; the induction was also detected in both the 1- and 7-day treatments (Table 1).
Comparison of the expression profiles between rice plants treated with various stresses
To characterize the gene responses to fog treatment, we compared the expression profiles between rice plants treated with either SiAF or SiNF and those exposed to various other stress treatments (Figure 5, Additional file 3: Table S2).
The expression of genes encoding NADPH oxidase was induced by both fog treatments and some other stress treatments (Figure 5); the gene response was dependent on the stress conditions. Two NADPH oxidase genes (LOC_Os01g61880 and LOC_Os09g26660) were induced by the SiNF, SiAF, whitebacked planthopper WBPH inoculation, and chilling treatments but were suppressed by the PEG, submergence, and ozone treatments (Figure 5a). One gene (LOC_Os01g53294) was induced by the chilling, mannitol, and salt treatments but not by the SiAF, SiNF, or biotic stresses (Figure 5a). Some germin genes were induced by the SiAF, SiNF, biotic, and some abiotic stresses but were suppressed by the chilling and PEG treatments (Figure 5b).
The expression of genes that function in organelles did not change in plants treated with either SiAF or SiNF (Table 1) and also showed no response in blast-infected plants (Additional file 3: Table S2). However, the expression of many such genes changed in plants subjected to abiotic stresses (Additional file 3: Table S2). Many genes encoding glutaredoxin responded to the abiotic stresses but not to the SiAF, SiNF, or biotic stresses (Additional file 3: Table S2). Many GST genes were induced by the abiotic stresses as well as the SiAF and SiNF treatments, although the specific genes that responded to the abiotic stresses differed from those that responded to the fog treatments and the biotic stresses (Additional file 3: Table S2).
The expression of genes involved in JA synthesis varied under both the biotic and abiotic stresses (Figure 5c). The genes encoding LOX and allene oxide synthase (AOS), both of which function in chloroplasts , were induced by the biotic stresses and the SiAF and SiNF treatments, although some of these genes were suppressed by the abiotic stresses (Figure 5c). The expression of the JAZ genes was activated by the biotic stresses and the ozone, SiAF, and SiNF treatments and suppressed by other abiotic stresses (Figure 5d). Many types of stress factors induced genes encoding AP2-EREBP and WRKY proteins, although the specific responsive genes were also dependent on the type of stress (Figure 5e and f). Genes that were highly induced by the SiAF treatment were also induced by the biotic stresses but were suppressed by the abiotic stresses such as chilling and drought. WRKY45 (LOC_Os05g25770) gene expression was induced by the biotic stresses and the ozone, SiAF, and SiNF treatments but was suppressed by the abiotic stresses (Figure 5f and Additional file 3: Table S2). The genes encoding PR proteins also responded to many types of stress factors, and these gene responses were also dependent on the type of stress (Additional file 3: Table S2). Among chitinase genes, the DEGs activated by the SiAF and the SiNF treatments were similar to those activated by the biotic stresses (Figure 5g).
Both the SiAF and the SiNF treatments affected gene expression in rice plants (Figure 1). The member of DEG in plants subjected to the 7-day SiAF treatment were similar to those in plants subjected to either the 1-day SiAF treatment or the 7-day SiNF treatment (Figure 1), indicating that continuous SiNF and SiAF treatments result in similar conditions for rice plants. The 14-day SiNF treatment was not sufficient to produce visual symptoms; however, rice plants treated with SiAF for 14 days demonstrated visual symptoms (Ito et al. ). This difference in visual symptoms between SiAF and SiNF treatment correlates with the concentration of sulfate (SO42−) or the pH.
Accumulated ROS may cause symptoms such as chlorosis. ROS generation has been reported in plants exposed to acid rain (Gabara et al. ; Velikova et al. ; Wyrwicka and Sklodowska ), and SO42− has been shown to cause acid rain-induced disease symptoms (Lee et al. ). The activation of NADPH oxidase and ROS accumulation in the apoplast have been reported in spinach plants treated with gaseous SO2, which is a precursor of SO42− (Li et al. ). Moreover, proton stress has been reported to cause ROS accumulation in the apoplast of wheat (Song et al. ). ROS accumulation from NADPH oxidase is similar to the oxidative burst induced by wounding or pathogen infection in the apoplast (Gill and Tuteja ; Miller et al., ; Miller et al. ; Torres ; Zurbriggen et al. ). In this study, both fog treatments activated the same genes for encoding NADPH oxidase induced by biotic stresses (Figure 5). Moreover, stimulus such as wounding and pathogen infection also activates JA synthesis (Fujita et al. ; Pré et al. ). Both of the fog treatments also induces the genes for JA synthesis. On the other hand, ROS synthesis is also induced by abiotic stresses, such as cold and drought. However, the expression profile of rice undergoing these abiotic stresses is different from rice exposed to the fog treatment (Figure 5). These findings indicate that ROS synthesis in the apoplast and JA synthesis are induced by both fog treatments and that these molecules may be used as a signal molecule to induce the defense system for responding to wounding and biotic stress.
Fog treatment induced not only the genes encoding NADPH oxidase for O2− generation but also the genes encoding germins for the reduction of O2− in the apoplast. Germin was also shown to produce H2O2 and CO2 from oxalate and H2O in the apoplast (Banerjee and Maiti ; Carrillo et al. ; Gill and Tuteja ; Manosalva et al. ; Miller et al ; van Loon et al. ). These genes were induced more in plants treated with SiAF than in those treated with SiNF, indicating that more H2O2 had accumulated in plants treated with SiAF than in plants treated with SiNF. Moreover, of the five germin genes induced by the fog treatment, four genes were located on Chromosome 8, and two genes (LOC_Os08g09010, and 09060) were members of OsGER4. The germin genes located on Chromosome 8 are related to pathogen resistance, with the OsGER4 family contributing the most to the resistance (Manosalva et al. ). The expression of the germin genes located on Chromosome 8 was induced by the fog treatment and biotic stresses but was not induced by chilling or osmotic stresses (Figure 5). This result also indicates that the fog treatments cause stress for rice plants and that the responses to both fog treatments were similar to the responses to biotic stress.
It is known that the accumulation of ROS causes the induction of disease symptoms (Tenhaken et al. ); however, rice plants with 7 days of the SiAF treatment did not show disease symptoms. Symptoms were detected after as early as a few days of acid rain treatment in Arabidopsis, tomato, and cucumber plants (Gabara et al. ; Lee et al. ; Wyrwicka and Sklodowska ), suggesting that rice plants are relatively tolerant to acid fog, which is consistent with a previous report (Wang et al. ). These data also imply that rice has other antioxidant systems. The difference between rice and susceptible plants such as Arabidopsis is apparent in the concentration of endogenous SA. The rice plant contains much higher levels of SA than Arabidopsis (>50 times higher) (Yang et al. ) therefore, rice is an SA-insensitive plant. The SA-deficient rice plant is an SA-sensitive plant and showed hypersensitivity to oxidative damage, as indicated by a high level of ROS accumulation. These results suggest that SA is an antioxidant compound (Yang et al. ). Moreover, the level of SA in rice plants may determine the degree of acid fog resistance.
This study suggests that the SiAF treatment causes stress resulting in ROS generation in the apoplast and that it induces defense responses similar to those from biotic stresses, even though an acid fog treatment is an abiotic stress for rice plants. Moreover, the gene responses to the long-term SiNF treatment were similar to those to the SiAF treatment, indicating that fog treatments are a stress to rice plants. At present, the mechanism for ROS and JA formation from a fog treatment remains unknown and should be addressed in future research.
Growth and fog treatments of plants
Seeds of Oryza sativa L., cv. Hinohikari rice were germinated on moist soil (Engeibaido, Kureha Corp., Japan) and grown at 25°C with 70% relative humidity under natural light in a greenhouse. After 7 days, the seedlings were transferred to porous pots (5-cm diameter, 6-cm height) containing gravel (Hydroball, Toshi-Engei Co., Ltd., Japan), dipped in aerated liquid medium (1/1000-diluted Hyponex with Hoagland No. 2 micronutrients and Fe-EDTA), and cultured for another 7 days in the greenhouse. These potted seedlings were then transferred to fog cabinets placed in a growth chamber and exposed to simulated neutral (pH 5.6: SiNF) or acid (pH 3.0: SiAF) fog for 6 h (9:00-15:00) each day for 7 days (Ito et al. ). During the 7-day treatment, the seedlings were kept under a 14-h (5:00-19:00) light/10-h dark cycle, and the light intensity during the light period was 400-500 μmol m−2 s−1 at the bottom of the fog cabinet. Other conditions inside the growth chamber included temperature at 25/20°C and 55/75% relative humidity during the light/dark periods. Deionized water was used as the source of SiNF, and the source of SiAF was prepared by adding sulfuric acid to deionized water. The fog was evolved from these sources with an ultrasonic humidifier (FT-10, UCAN Co., Ltd.) and introduced into the fog cabinet through fan-induced air flow. As a control, rice seedlings were treated similarly but in the absence of fog treatment.
Total RNA samples were extracted from leaves pooled from 5 independent plants from the same experiment using the RNeasy Plant Mini kit (Qiagen). For the microarray experiment, we prepared 18 RNA samples (3 conditions (control, SiAF, and SiNF) × 2 time points (1 and 7 days after the beginning of fog treatment) × 3 biological replicates). The concentration and quality of total RNA were examined using a spectrophotometer (Nanodrop ND-1000, Nanodrop Technologies) and a BioAnalyzer (G2938A, Agilent Technologies), respectively.
We performed microarray analyses using the 2-dye method, which directly compares expression profiles between 2 samples on the same microarray slide. The microarray experiment and data analysis methodology have been previously described in detail (Satoh et al. ). In brief, cyanine 3(Cy3)- or cyanine 5 (Cy5)-labeled complementary RNA (cRNA) samples were synthesized from 850 ng total RNA using a Low Input RNA labeling kit (Agilent Technologies). In this study, samples treated with SiAF and SiNF were labeled by Cy3, and those without fog treatment were done by Cy5 (Table 2). Hybridization solution was prepared with 825 ng each of Cy3- and Cy5-labeled cRNA (Table 2) preparations using the In situ Hybridization Plus kit (Agilent Technologies). Hybridization and washing of microarray slides (GPL7252, 43494 probes [Edgar et al. ) were performed following manufacturer’s protocols. After washing, the slide image files were generated by a DNA microarray scanner (G2505B; Agilent Technologies). Cy3 and Cy5 signal intensities were extracted from the image files and normalized in each array using the Feature Extraction software version 9.5 (Agilent Technologies). Signal intensities among all microarray data were normalized according to the quantile method (global normalization) using the EXPANDER software version 4.1 (Ulitsky et al. ). A gene was considered to be expressed if the average signal intensity of the gene was higher than the median global signal intensity in least at one condition; otherwise, the gene was not considered to be expressed. A DEG was defined as an expressed gene for which 1) the difference of signal intensity between treatment and control samples was greater than 1.5-fold and 2) the difference in gene expression between the 2 samples was significant at P-value ≤ 0.05 by a paired t test (permutation: all; FDR collection: adjusted Bonferroni method). Data processing was performed using the Mev software version 4.3 (Saeed et al. ). The results of the microarray analysis used in this study (series number: GSE31196) are available at the NCBI-GEO (Edgar et al. 2003).
Comparative analysis of the transcriptome data
The transcriptome data of rice plants subjected to abiotic stress treatment were derived from the GSE2415, 7532, and 11157 datasets deposited on NCBI GEO (Edgar et al. 2003). From these data, we selected 12 microarray datasets corresponding to rice plants treated with chilling (10°C, 3 time points), 25% polyethylene glycol (PEG) 600 (simulated drought stress, 3 time points), 260 mM mannitol (stimulated osmotic stress, one time point), 150 mM NaCl (one time point), submergence (3 time points), and 0.2 ppm ozone (one time point). The transcriptome data of rice plants with biotic stress treatment were derived from GSE9450 (infection with blast fungus for 2 days) and GSE8811 (infestation with whitebacked planthopper for 2 days). Comparisons could be made between our data and other stress data for 13,386 of 22,328 expressed genes in our study and for 2,957 of 13,401 genes that responded to the SiAF and/or the SiNF treatments.
cDNA fragments for rice plant transcripts were synthesized from 1,000 ng total RNA with 50 pmol of random hexamer using the SuperScript III reverse transcriptase (Invitrogen). The resultant reaction mixtures containing cDNA fragments were serially diluted 4 times and then used for PCR. To examine the expression levels of the rice genes, PCR was performed with 4 μl of a diluted cDNA reaction mixture in a final volume of 20 μl using Taq DNA polymerase (New England Biolabs). The gene-specific primers designed by Primer 3 (Rozen and Skaletsky ) and used for amplification of the selected rice gene transcripts are listed in Additional file 2: Figure S1. Primers for the rice genes were designed to generate PCR products of 150 − 720 bp in length. A ribosomal protein gene (LOC_Os03g34040), whose expression levels remained nearly constant under all experimental conditions, was used as a control for the gene expression analysis by RT-PCR. The cycling program consisted of an initial denaturation for 1 min at 95°C, followed by 30 to 40 cycles of denaturation at 95°C for 15 s, annealing for 15 s, and extension at 68°C for 45 s, with a final extension of 1 min at 68°C. The annealing temperatures are indicated in Additional file 2: Figure S1.
Banerjee J, Maiti MK: Functional role of rice germin-like protein1 in regulation of plant height and disease resistance. Biochem Biophys Res Commun 2010, 394: 178–183. 10.1016/j.bbrc.2010.02.142
Carrillo MGC, Goodwin PH, Leach JE, Leung H, Vera Cruz CM: Phylogenomic relationships of rice oxalate oxidases to the cupin superfamily and their association with disease resistance QTL. Rice 2009, 2: 67–79. 10.1007/s12284-009-9024-0
Edgar R, Domrachev M, Lash AE: Gene Expression Omnibus: NCBI gene expression and hybridization array data repository. Nucleic Acids Res 2002, 30: 207–210. 10.1093/nar/30.1.207
Evans LS, Gmur NF, da Costa F: Leaf surface and histological perturbations of leaves of Phaseolus vulgaris and Helianthus annuus after exposure to simulated acid rain. Am J Bot 1977, 64: 903–913. 10.2307/2442384
Ferenbaugh RW: Effects of simulated acid rain on Phaseolus vulgaris L. (Fabaceae). Am J Bot 1976, 63: 283–588. 10.2307/2441572
Fujita M, Fujita Y, Noutoshi Y, Takahashi F, Narusaka Y, Yamaguchi-Shinozaki K, Shinozaki K: Crosstalk between abiotic and biotic stress responses: a current view from the points of convergence in the stress signaling networks. Curr Opin Plant Biol 2006, 9: 436–442. 10.1016/j.pbi.2006.05.014
Gabara B, Sklodowska M, Wyrwicka A, Glinska S, Gapinska M: Changes in the ultrastructure of chloroplasts and mitochondria and antioxidant enzyme activity in Lycopersicon esculentum Mill. leaves sprayed with acid rain. Plant Sci 2003, 164: 507–516. 10.1016/S0168-9452(02)00447-8
Gill SS, Tuteja N: Reactive oxygen species and antioxidant machinery in abiotic stress tolerance in crop plants. Plant Physiol Biochem 2010, 48: 909–930. 10.1016/j.plaphy.2010.08.016
Haines B, Stefani M, Hendrix F: Acid rain: threshold of leaf damage in eight plant species from a Southern Appalachian forest succession. Water Air Soil Pollut 1980, 14: 403–407. 10.1007/BF00291852
Horváth E, Szalai G, Janda T: Induction of abiotic stress tolerance by salicylic acid signaling. J Plant Growth Regul 2007, 26: 290–300. 10.1007/s00344-007-9017-4
Igawa M, Okochi H: Observation of atmospheric chemistry and effects of acid deposition of forest ecosystem in Mt. Oyama, Tazawa mountains. Earozoru Kenkyu 2009, 24: 97–104.
Igawa M, Matsumura K, Okochi H: Fog water chemistry at Mt. Oyama and its dominant factors. Water Air Soil Pollut 2001, 130: 607–612. 10.1023/A:1013867620159
Ito S, Shimizu H, Mori A, Watanabe T, Sasakawa H, Saji H, Murano K (2011) Effects of acid fog on the growth of rice cultivars grown in Nagasaki Prefecture, Japan. In Acid Rain 2011: The 8th International Conference on Acid Deposition: Abstract Book, Chinese Academy of Sciences, pp 145–146
Kanehisa M, Goto S, Sato Y, Furumichi M, Tanabe M: KEGG for integration and interpretation of large-scale molecular data sets. Nucleic Acids Res 2012, 40(Database issue):D109-D114. 10.1093/nar/gkr988
Lee Y, Park J, Im K, Kim K, Lee J, Lee K, Park JA, Lee TK, Park DS, Yang JS, Kim D, Lee S: Arabidopsis leaf necrosis caused by simulated acid rain is related to the salicylic acid signaling pathway. Plant Physiol Biochem 2006, 44: 38–42. 10.1016/j.plaphy.2006.01.003
Li B, Xing D, Zhang L: Involvement of NADPH oxidase in sulfur dioxide-induced oxidative stress in plant cells. Photochem Photobiol Sci 2007, 6: 628–634. 10.1039/b618041h
Manosalva PM, Davidson RM, Liu B, Zhu X, Hulbert SH, Leung H, Leach JE: A germin-like protein gene family functions as a complex quantitative trait locus conferring broad-spectrum disease resistance in rice. Plant Physiol 2009, 149: 286–296. 10.1104/pp.108.128348
Miller G, Schlauch K, Tam R, Cortes D, Torres MA, Shulaev V, Dangl JL, Mittler R: The plant NADPH oxidase RBOHD mediates rapid systemic signaling in response to diverse stimuli. Sci Signal 2009, 2(84):ra45.
Miller G, Suzuki N, Ciftci-Yilmaz S, Mittler R: Reactive oxygen species homeostasis and signalling during drought and salinity stresses. Plant Cell Environ 2010, 33: 453–467. 10.1111/j.1365-3040.2009.02041.x
Ouyang S, Zhu W, Hamilton J, Lin H, Campbell M, Childs K, Thibaud-Nissen F, Malek RL, Lee Y, Zheng L, Orvis J, Haas B, Wortman J, Buell CR: The TIGR Rice Genome Annotation Resource: improvements and new features. Nucleic Acids Res 2007, 35(Database issue):D883-D887. 10.1093/nar/gkl976
Pré M, Atallah M, Champion A, de Vos M, Pieterse CM, Memelink J: The AP2/ERF domain transcription factor ORA59 integrates jasmonic acid and ethylene signals in plant defense. Plant Physiol 2008, 147: 1347–1357. 10.1104/pp.108.117523
Rozen S, Skaletsky HJ: Primer3 on the WWW for general users and for biologist programmers. In Bioinformatics Methods and Protocols: Methods in Molecular Biology. Edited by: Krawetz S, Misener S. Humana Press, New Jersey; 2000:365–386.
Saeed AI, Bhagabati NK, Braisted JC, Liang W, Sharov V, Howe EA, Li J, Thiagarajan M, White JA, Quackenbush J: TM4 microarray software suite. Methods Enzymol 2006, 411: 134–193. 10.1016/S0076-6879(06)11009-5
Satoh K, Kondoh H, Sasaya T, Shimizu T, Choi I-R, Omura T, Kikuchi S: Selective modification of rice ( Oryza sativa ) gene expression by rice stripe virus infection. J Gen Virol 2010, 91: 294–305. 10.1099/vir.0.015990-0
Shimono M, Sugano S, Nakayama A, Jiang CJ, Ono K, Toki S, Takatsuji H: Rice WRKY45 plays a crucial role in benzothiadiazole-inducible blast resistance. Plant Cell 2007, 19: 2064–2076. 10.1105/tpc.106.046250
Song H, Xu X, Wang H, Wang H, Tao Y: Exogenous gamma-aminobutyric acid alleviates oxidative damage caused by aluminium and proton stresses on barley seedlings. J Sci Food Agric 2010, 90: 1410–1416. 10.1002/jsfa.3951
Tenhaken R, Levine A, Brisson LF, Dixon RA, Lamb C: Function of the oxidative burst in hypersensitive disease resistance. Proc Natl Acad Sci U S A 1995, 92: 4158–4163. 10.1073/pnas.92.10.4158
Torres MA: ROS in biotic interactions. Physiol Plant 2010, 138: 414–429. 10.1111/j.1399-3054.2009.01326.x
Ulitsky I, Maron-Katz A, Shavit S, Sagir D, Linhart C, Elkon R, Tanay A, Sharan R, Shiloh Y, Shamir R: Expander: from expression microarrays to networks and functions. Nat Protoc 2010, 5: 303–322. 10.1038/nprot.2009.230
van Loon LC, Rep M, Pieterse CM: Significance of inducible defense-related proteins in infected plants. Annu Rev Phytopathol 2006, 44: 135–162. 10.1146/annurev.phyto.44.070505.143425
Velikova V, Yordanov I, Edreva A: Oxidative stress and some antioxidant systems in acid rain-treated bean plants: protective role of exogenous polyamines. Plant Sci 2000, 151: 59–66. 10.1016/S0168-9452(99)00197-1
Wang L, Huang X, Zhou Q: Response of peroxidase and catalase to acid rain stress during seed germination of rice, wheat, and rape. Front Environ Sci Engin China 2008, 2: 364–369. 10.1007/s11783-008-0053-5
Wasternack C: Jasmonates: an update on biosynthesis, signal transduction and action in plant stress response, growth and development. Ann Bot 2007, 100: 681–697. 10.1093/aob/mcm079
Wyrwicka A, Sklodowska M: Influence of repeated acid rain treatment on antioxidative enzyme activities and on lipid peroxidation in cucumber leaves. Environ Exp Bot 2006, 56: 198–204. 10.1016/j.envexpbot.2005.02.003
Yang Y, Qi M, Mei C: Endogenous salicylic acid protects rice plants from oxidative damage caused by aging as well as biotic and abiotic stress. Plant J 2004, 40: 909–919. 10.1111/j.1365-313X.2004.02267.x
Ye H, Du H, Tang N, Li X, Xiong L: Identification and expression profiling analysis of TIFY family genes involved in stress and phytohormone responses in rice. Plant Mol Biol 2009, 71: 291–305. 10.1007/s11103-009-9524-8
Zhang H, Jin J, Tang L, Zhao Y, Gu X, Gao G, Luo J: PlantTFDB 2.0: update and improvement of the comprehensive plant transcription factor database. Nucleic Acids Res 2011, 39(Database issue):D1114-D1117. 10.1093/nar/gkq1141
Zurbriggen MD, Carrillo N, Hajirezaei MR: ROS signaling in the hypersensitive response: when, where and what for? Plant Signal Behav 2010, 5: 393–396. 10.4161/psb.5.4.10793
We thank Ms. Hiromi Satoh for support in the microarray and RT-PCR experiments. We also thank the assistant staff of NIES, Kawakami Farm Co. Ltd., and Yusei Co. Ltd. for their excellent technical support in breeding plants and maintaining the fog exposure chambers. This study was financially supported by KAKENHI (22310025) and by the Research Fund of the Ministry of the Environment, Japan.
The authors declare that they have no competing interests.
KS performed the microarray experiment, RT-PCR and wrote the manuscript. SS performed the sampling and RNA extraction from rice leaves. SI and HideS performed the cultivation and fog treatments of rice plants. HikaS and SK conceived and designed the study and critically reviewed the manuscript. All authors read and approved the final manuscript.
Electronic supplementary material
Additional file 1: Table S1.: A list of genes expressed in fog-treated plants. Bold numbers indicate differentially expressed genes in plants subjected to each treatment. 1based on MSU OSA1 version 5 (Ouyang et al. ). (XLS 7 MB)
Additional file 2: Figure S1.: Differentially expressed genes evaluated by RT-PCR. The numbers are log2-based differential expression ratios from the microarray analysis. ns: log2-based differential expression ratio of the gene not significantly differentially expressed. A ribosomal protein gene (LOC_Os03g34040) whose expression levels remained nearly constant under all experimental conditions was used as a control for gene expression analysis by RT-PCR. (PPT 472 KB)
Additional file 3: Table S2.: Comparison of DEGs among fog- and other treated plants. A) The number of differentially expressed genes in each category. Each column shows the number of induced genes/number of suppressed genes in each category.1 B) A list of the genes in each category. Bold numbers indicate differentially expressed genes in plants subjected to each treatment. (XLS 209 KB)
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Satoh, K., Saji, S., Ito, S. et al. Gene response in rice plants treated with continuous fog influenced by pH, was similar to that treated with biotic stress. Rice 7, 10 (2014). https://doi.org/10.1186/s12284-014-0010-9
- Acid fog
- Oxidative stress
- Comparative analysis