Literature DB >> 24474809

Overexpression of PYL5 in rice enhances drought tolerance, inhibits growth, and modulates gene expression.

Hyunmi Kim1, Kyeyoon Lee, Hyunsik Hwang, Nikita Bhatnagar, Dool-Yi Kim, In Sun Yoon, Myung-Ok Byun, Sun Tae Kim, Ki-Hong Jung, Beom-Gi Kim.   

Abstract

Abscisic acid (ABA) is a phytohormone that plays important roles in the regulation of seed dormancy and adaptation to abiotic stresses. Previous work identified OsPYL/RCARs as functional ABA receptors regulating ABA-dependent gene expression in Oryza sativa. OsPYL/RCARs thus are considered to be good candidate genes for improvement of abiotic stress tolerance in crops. This work demonstrates that the cytosolic ABA receptor OsPYL/RCAR5 in O. sativa functions as a positive regulator of abiotic stress-responsive gene expression. The constitutive expression of OsPYL/RCAR5 in rice driven by the Zea mays ubiquitin promoter induced the expression of many stress-responsive genes even under normal growth conditions and resulted in improved drought and salt stress tolerance in rice. However, it slightly reduced plant height under paddy field conditions and severely reduced total seed yield. This suggests that, although exogenous expression of OsPYL/RCAR5 is able to improve abiotic stress tolerance in rice, fine regulation of its expression will be required to avoid deleterious effects on agricultural traits.

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Keywords:  ABA receptors; drought stress; rice; salt stress.

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Year:  2014        PMID: 24474809      PMCID: PMC3904710          DOI: 10.1093/jxb/ert397

Source DB:  PubMed          Journal:  J Exp Bot        ISSN: 0022-0957            Impact factor:   6.992


Introduction

Plants have developed a multitude of mechanisms to survive under adverse conditions. Among these, plants can induce the expression of proteins that protect them from abiotic stresses, such as salt or drought. Several factors are involved in this transcriptional regulation (Shinozaki and Yamaguchi-Shinozaki, 2007; Cramer ; Santos ; Friedel ), and abscisic acid (ABA), in particular, plays pivotal roles in gene expression regulation for abiotic stress adaptation (Busk and Pages, 1998). ABA is synthesized or converted from an inactive form to an active form under stress conditions (Lee ; Xu ). The resulting increase in ABA concentration induces stress-responsive gene expression through ABA-signalling networks, which are well characterized in Arabidopsis thaliana and rice (Cutler ; Kim ). This ABA signalling includes components such as cytosolic ABA receptors PYRABACTIN RESISTANCE 1 LIKE/REGULATORY COMPONENTS OF ABA RECEPTORS (PYL/RCARs), clade A protein phosphatase 2Cs (PP2Cs), SNF1-related protein kinases 2 (SnRK2s), and basic leucine zipper (bZIP) transcription factors in Arabidopsis (Cutler ; Umezawa ). These ABA-signalling components are highly conserved in land plants, in which drought tolerance is essential for survival. However, they are absent in the green algae Chlamydomonas, which lives in aquatic environments. This suggests that ABA signalling might have evolved due to the necessity for drought tolerance in land plants (Umezawa ). Compared with Arabidopsis, signalling components in the model monocot rice are similar in type and number (Hanada ; Kim ). Thus, ABA signalling appears to be functionally well conserved among Arabidopsis, rice, and other plants (Hanada ; Li ; Kim ; Wang ). Previous work identified OsPYL/RCAR5, an orthologue of AtPYL/RCAR, as a functional ABA receptor in rice that interacts with OsPP2C9, OsPP2C49, and OsPP2C30, which are Arabidopsis subclass A PP2C orthologues. These interactions inactivate the PP2Cs, thereby releasing stress/ABA-activated protein kinases 2 (SAPK2) from suppression. Subsequently, SAPK2 activates OREB1, which induces the transcription of stress-responsive genes such as RAB16A and LEA3 (Kim . In Arabidopsis, overexpression of AtPYL/RCAR5 causes not only ABA hypersensitivity but also drought stress tolerance. The transgenic plants show induction of stress-responsive genes and reduced water loss (Santiago ). Transgenic Arabidopsis plants constitutively overexpressing active PYL4 show enhanced drought tolerance compared with the wild-type PYL4 (Pizzio ). This suggested that rice ABA receptors might be a good candidate to improve drought tolerance in rice. The current work constructed transgenic rice constitutively overexpressing OsPYL/RCAR5 (OsPYL/RCAR5-OE) and analysed the resulting abiotic stress-tolerance phenotype and genome-wide gene expression patterns comparing the OsPYL/RCAR5-OE line to the wild-type control. This study provides useful information for strategies aimed at improving abiotic stress tolerance and promotes the understanding of stress-responsive signalling network(s) downstream of the ABA receptor.

Materials and methods

Plasmid construction, rice transformation, and GUS assay

The rice cultivar used in this study was Oryza sativa cv. Dongjin. Dehulled rice seeds were surface-sterilized with 70% ethanol and 50% Clorox (Yuhanclorox, Korea) containing Tween 20 and washed with distilled water. OsPYL/RCAR5 full-length cDNA was cloned into the pGA2897 vector including the maize ubiquitin promoter. For promoter analysis, promoters of OsPYL/RCAR5 in entry vectors were introduced into the plant GUS reporter expression vector pBGWSF7 (Karimi et al., 2002). The constructs were introduced into Agrobacterium tumefaciens LBA 4404 via electroporation. Transgenic rice was generated using the modified early scutellum Agrobacterium-mediated transformation method (Han ). The overexpression of transgenic rice was confirmed by reverse-transcription PCR (RT-PCR) and quantitative real-time PCR (qRT-PCR) as described previously (Kim ). For GUS assays, T1 plants were grown on half-strength Murashige and Skoog (MS) medium (supplemented with 1% sucrose and 0.4% phytagel, adjusted to pH 5.8) for young seedling staining. GUS histochemical staining was performed using the substrate X-Glu as previously described (Lagarde ). GUS-stained plants and tissues were fixed by washing several times with 70% ethanol until the chlorophyll was completely removed from the tissue.

Plant materials, growth conditions, and analysis of agricultural traits

Seeds of transgenic rice were germinated and grown for 1 week on 1/2 MS media containing hygromycin B (40mg l–1, Duchefa, Haarlem, Netherland) to select transgenic plants. After acclimation for 2 d in the greenhouse, the young seedlings were transferred to pots (16×6 × 5.5cm) filled with nursery soil and grown at 24– 30 °C for 4 weeks in the greenhouse. Those plants were planted in a paddy field in the middle of May, and seeds were harvested at the end of October annually for 2 years in 2011 and 2012 at the National Academy of Agricultural Science, Suwon, Korea. The paddy field soil is a sandy loam consisting of 0.7% gravel, 1.2% very coarse sand, 5.8% coarse sand, 18.4% medium sand, 23.9% find sand, 12.9% very fine sand, 29.1% silt, and 8.0 % clay. The pH of the soil was pH 6.0, and the soil contained (kg–1) 4.4 cmol extractable Ca2+, 0.27 cmol extractable K+, 1.4 cmol extractable Mg2+, 94mg available P2O5, and 24.5g total organic material. The water of paddy field was maintained 5cm above the soil from May to the end of September and then the water was drained and the watering was stopped. Nitrogen/phosphorus/potassium fertilizer (70:40:70kg ha–1) was applied after ploughing and 45 d after transplantation. The minimum and maximum temperatures and relative humidities recorded in a weather station during field cultivation from 2011 to 2012 are provided in Supplementary Fig. S1 (available at JXB online). To evaluate the agricultural traits of the transgenic rice, total grain weight, stem height, panicle length, number of panicles, and internode length were measured in 10 plants from each of three independent lines.

Abiotic stress-tolerance assay

For the post-germination assay, surface-sterilized dehulled seeds were planted on 1/2 MS medium supplemented with hygromycin B (40mg l–1, Duchefa). Five days after planting, plants were transferred to 1/2 MS media supplemented with 200 or 400mM mannitol, or 5 µM ABA in square Petri dishes (125×125×20mm) and grown vertically under long-day conditions (16/8 light/dark cycle) in a growth incubator (model FLI-2000, Eyela, Tokyo, Japan). Seedling growth was then measured 7 d later. Preliminary drought-tolerance assays used 18 T2 seeds and was performed in a greenhouse where temperature was ranged from 20 to 35 °C and natural sunlight was used as illumination. Three-week-old young transgenic rice and control plants were grown in the same pot containing nursery soil for 3 weeks and watering was stopped for 5–7 d (depending on the weather) until leaves wilted, at which point the plants were rewatered. For further drought-tolerance assays, germinated seeds were transferred to pots containing nursery soil with 41.6±0.5 % water content and grown for 3 weeks. Watering was stopped for 5 d when gravimetric soil water content was 7.2±0.85%, when the plants were rewatered. The freshweight of the plants was measured. For the salt stress assay, germinated seeds were transferred into pots containing nursery soil and grown for 3 weeks. The pots were transferred to a container filled with 200mM NaCl up to 2cm from the bottom and were then incubated for 8 or 9 d, with the NaCl solution being supplemented twice to maintain the water depth. Pictures were taken and the freshweight of the plants was measured. For the water loss assay, germinated seeds were transferred into pots containing nursery soil and grown for 3 weeks. Three flag leaves per independent line were cut and kept at 28 °C on filter paper under 150 μmol m–2 s–1 in the tissue culture room. Weighing was performed every 10 minutes for 3h. For the whole-plant transpiration assay, germinated seeds were transferred into soil-filled 50-ml tubes and grown until the third leaf was observed. Before commencing the whole-plant transpiration assay, plants were watered and tubes were sealed with wrap to prevent soil water evaporation. The transpiration rate was monitored every 12h by weighing the tube until leaves were wilted. To measure the leaf surface area, cut leaves were placed in water to rehydrate until turgid, then leaf surface area was measured using a LI-3000A portable area meter (LI-COR, USA).

Microarray analysis

For microarray analysis, 2-week-old Dong-jin and OsPYL/RCAR5-OE rice seedlings were grown in MS media. For biological replicates, seedlings were sampled independently three times. Total RNA was extracted using a Mini RNA kit (Qiagen) and analysed using Rice Gene Expression Microarray and Gene Expression Hybridization kits (Agilent), according to the manufacturer’s instructions. The signals were scanned using an Agilent DNA microarray scanner and signal intensity for individual probes was analysed using Agilent Feature Extraction Software version 7.5.1. The intensity was normalized by the quantile method and translated into the log2 scale (Bolstad ). The log2-normalized intensity data was then uploaded from a tab-delimited text file format to Multi Experiment Viewer (MEV, http://www.tm4.org/mev/; Saeed ) and a heat map was generated. In addition, the heat map image based on log2-fold-change data in response to drought stress was also created. For the drought stress analysis, this work compiled the microarray data from ArrayExpress (http://www.ebi.ac.uk/arrayexpress/) and from a public microarray database, NCBI GEO (http://www.ncbi.nlm.nih.gov/geo/, platform accession number GPL2025, data series accession numbers GSE6901, GSE24048, GSE26280, and E-MEXP-2401: 31 comparisons). Fold-change data under various drought stresses were then integrated with the fold-change of OsPYL/RCAR5-OE over Dong-jin (control plant). To identify significant expression patterns, genes that had greater or lesser than 2-fold-change under coefficient of variation of less than 1 were chosen.

Gene ontology analysis

Gene ontology (GO) analysis was done for 61 genes commonly upregulated and 69 genes commonly downregulated in OsPYL/RCAR5-OE plants compared to the wild type, representing significant expression during drought stress. The MSU locus identifiers of genes were queried in the Rice Genome Annotation Project (http://rice.plantbiology.msu.edu/downloads_gad.shtml) for GO terms and annotations. The details that were retrieved from the database were then shortlisted for biological processes and ordered based on the number of genes assigned to a GO term, with only those presenting more than two genes being considered. Graphical representations were prepared to state the number of genes associated with various biological processes.

Results

Expression of OsPYL/RCAR5 in different tissues and stress conditions

OsPYL/RCAR5 (Os05g12260) expression in different tissues was analysed by qRT-PCR. It was expressed in all tissues examined and was the most abundant in the leaf blade, followed by the leaf sheath, and was the lowest in root tissue (Fig. 1A). To confirm these results, transgenic plants harbouring an OsPYL/RCAR5 promoter-GUS fusion cassette were also produced and analysed. Strong GUS staining was detected in the leaf blades of the young seedlings, but did not observe staining in the roots of young seedlings (Fig. 1B). Microscopic analysis of leaf blades stained using X-Glu showed that the OsPYL/RCAR5 promoter drove GUS expression throughout the surface of the leaf blade, including guard cells (Fig. 1B). Taking these results together, it was concluded that OsPYL/RCAR5 is expressed abundantly in aerial parts such as the leaf blade and leaf sheath. However, OsPYL/RCAR5 was expressed at very low levels in roots and seeds compared to leaves.
Fig. 1.

Expression pattern of OsPYL/RCAR5 in different tissues and stress conditions. (A) qRT-PCR analysis of OsPYL/RCAR5 mRNA levels in several tissues of mature wild-type rice plants; Ubi5 was used as a reference gene. (B) Histochemical β-glucosidase analysis of OsPYL/RCAR5 promoter-GUS transgenic rice; 10-d-old seedling (left) and microscopic analysis at ×400 magnification (right). (C) qRT-PCR analysis of OsPYL/RCAR5 mRNA levels isolated in young seedlings treated with stress conditions for the indicated periods of time; ABA treatment (top), NaCl treatment (middle), and PEG 3300 treatment (bottom). Error bars represent standard error of three replicates. Asterisks above the bars indicate significant differences between lines: *P < 0.05, **P < 0.01.

Expression pattern of OsPYL/RCAR5 in different tissues and stress conditions. (A) qRT-PCR analysis of OsPYL/RCAR5 mRNA levels in several tissues of mature wild-type rice plants; Ubi5 was used as a reference gene. (B) Histochemical β-glucosidase analysis of OsPYL/RCAR5 promoter-GUS transgenic rice; 10-d-old seedling (left) and microscopic analysis at ×400 magnification (right). (C) qRT-PCR analysis of OsPYL/RCAR5 mRNA levels isolated in young seedlings treated with stress conditions for the indicated periods of time; ABA treatment (top), NaCl treatment (middle), and PEG 3300 treatment (bottom). Error bars represent standard error of three replicates. Asterisks above the bars indicate significant differences between lines: *P < 0.05, **P < 0.01. In order to identify the gene expression pattern in response to several abiotic stressors, qRT-PCR analysis was performed using young rice seedlings treated with ABA, PEG (osmotic stress), or salt stress (Fig. 1C). Interestingly, the expression of OsPYL/RCAR5 was repressed under ABA or PEG treatment and was changed marginally under NaCl treatment. Thus, OsPYL/RCAR5 is not induced and is actually slightly suppressed by certain abiotic stresses.

Production of transgenic rice overexpressing OsPYL/RCAR5

To construct transgenic rice overexpressing OsPYL/RCAR5, cDNA was fused with the maize ubiquitin promoter in the pGA2897 vector (Fig. 2A). The construct was transformed into O. sativa L. cv. Dong-jin, producing a total of 20 independent transgenic rice lines. The insertion and overexpression of OsPYL/RCAR5 was confirmed by genomic DNA PCR and RT-PCR analyses using T0 plants (data not shown). Because many of the plants were very short and produced very few seeds compared to control plants, six T0 lines that had the heaviest total grain weight, were the tallest, and/or exhibited high PYL5 overexpression were selected for further analysis. Five plants per independent T1 line were grown in the paddy field and 30 T2 lines in total were harvested. Three lines were selected among five T2 lines originated from each independent T0 line. From drought-tolerance assays using 18 T2 seeds, three T2 transgenic plants that exhibited the strongest drought stress tolerance in preliminary experiments were chosen for further analyses (OsPYL/RCAR5-OE lines 1–3). First, the expression of OsPYL/RCAR5 in these lines was confirmed by qRT-PCR (Fig. 2B). All three independent lines displayed OsPYL/RCAR5 expression levels at least 50-fold higher than the control line. These results were also confirmed by agarose gel electrophoresis of RT-PCR products (Fig. 2C).
Fig. 2.

Construction of transgenic rice overexpressing OsPYL/RCAR5. (A) Schematic diagram of the pUbi-OsPYL/RCAR5 construct used for transformation; LB, left border; Pubi, maize ubiquitin promoter; OsPYL/RCAR5, OsPYL/RCAR5 cDNA; T-nos, nos terminator; HPT, hygromycin B phosphotransferase; RB, right border. (B and C) qRT-PCR (B) and RT-PCR (C) analysis of OsPYL/RCAR5 expression in the overexpression lines and control (transgenic rice containing the empty pGA2897 vector). OE1-8, OE2-9, and OE3-1 are three individual transgenic plants overexpressing OsPYL/RCAR5 gene.

Construction of transgenic rice overexpressing OsPYL/RCAR5. (A) Schematic diagram of the pUbi-OsPYL/RCAR5 construct used for transformation; LB, left border; Pubi, maize ubiquitin promoter; OsPYL/RCAR5, OsPYL/RCAR5 cDNA; T-nos, nos terminator; HPT, hygromycin B phosphotransferase; RB, right border. (B and C) qRT-PCR (B) and RT-PCR (C) analysis of OsPYL/RCAR5 expression in the overexpression lines and control (transgenic rice containing the empty pGA2897 vector). OE1-8, OE2-9, and OE3-1 are three individual transgenic plants overexpressing OsPYL/RCAR5 gene.

Ectopic expression of OsPYL/RCAR5 in transgenic rice leads to drought and salt tolerance in the vegetative growth stage

To identify whether ectopic expression of OsPYL/RCAR5 can confer abiotic stress tolerance to rice, seedlings were subjected to drought or salt stress in growth chambers. For the drought-tolerance assay, 3-week-old plants were rewatered after 5 d of drying. More leaves survived in the OsPYL/RCAR5-OE plants than in control plants (Fig. 3A), and the freshweights of the OsPYL/RCAR5-OE plants were almost 2-fold higher than those of control plants (Fig. 3B). The three independent transgenic lines showed similar phenotypes. These results indicate that overexpression of the ABA receptor OsPYL/RCAR5 can increase drought tolerance in rice at the vegetative stage.
Fig. 3.

Transgenic rice overexpressing OsPYL/RCAR5 exhibits enhanced drought and salt tolerance at the vegetative stage. (A) Three-week-old plants were watered with tap water supplemented with 200mM NaCl or rewatered after 5 d of drought treatment; the experiments were repeated three times, with consistent results; representative images and graphs are shown. (B) Freshweight of transgenic plants grown under abiotic stress conditions; error bars represent standard error of 12 replicates; asterisks above the bars indicate significant differences between lines: **P < 0.01. (C) Water loss assay (left) and whole-plant transpiration assay (right); error bars represent standard error of three and five replicates, respectively.

Transgenic rice overexpressing OsPYL/RCAR5 exhibits enhanced drought and salt tolerance at the vegetative stage. (A) Three-week-old plants were watered with tap water supplemented with 200mM NaCl or rewatered after 5 d of drought treatment; the experiments were repeated three times, with consistent results; representative images and graphs are shown. (B) Freshweight of transgenic plants grown under abiotic stress conditions; error bars represent standard error of 12 replicates; asterisks above the bars indicate significant differences between lines: **P < 0.01. (C) Water loss assay (left) and whole-plant transpiration assay (right); error bars represent standard error of three and five replicates, respectively. To determine whether stomatal closure is involved in the drought tolerance of OsPYL/RCAR5-OE transgenic plants, detached-leaf and whole-plant transpiration assays were performed. In the detached-leaf transpiration assays, all transgenic plant leaves lost water slowly and reached equilibrium later than control. At 100min, control plant leaves reached equilibrium and had around 27% relative freshweight. However, OsPYL/RCAR5-OE transgenic plant leaves retained about 60% relative freshweight at the same time point (Fig. 3C). In the whole-plant transpiration assay, OsPYL/RCAR5-OE showed a transpiration rate of about 10% less than control plants during drought stress treatment (Fig. 3C). These two different assays both indicated that the drought tolerance of OsPYL/RCAR5-OE transgenic plants was related to enhanced stomatal closure. For the salt-tolerance assay, 3-week-old plants were incubated with 200mM NaCl for 8 or 9 d. Similar to the results for drought tolerance, more leaves survived in the OsPYL/RCAR5-OE transgenic plants than in control plants under salt stress conditions (Fig. 3A). The freshweights of OsPYL/RCAR5-OE plants were also 3-fold heavier than those of control plants under salt stress (Fig. 3B). Taken together, these results demonstrate that OsPYL/RCAR5 overexpression can enhance drought and salt tolerance at the vegetative growth stage.

Growth of transgenic plants overexpressing OsPYL/RCAR5 is retarded under osmotic stress and ABA treatment

To extend the osmotic stress-tolerance analysis, post-germination assays were performed using plants grown on plates. No significant differences were observed in the growth of transgenic rice on 1/2 MS medium without other treatments. Three days after germination on 1/2 MS medium, the seedlings were transferred to 1/2 MS medium containing different concentrations of mannitol or NaCl, and the shoot and root lengths were measured after 7 d. There were no significant differences in root growth between control and OsPYL/RCAR5-OE lines (Fig. 4A). By contrast, in the presence of 200mM mannitol, the shoot growth of OsPYL/RCAR5-OE plants was inhibited more than 10% compared to that of the control (Fig. 4B). The assays showed an ABA-hypersensitive phenotype in the transgenic rice lines. The growth of both roots and shoots of the OsPYL/RCAR5-OE plants was inhibited more than 50% in the 5 μM ABA condition compared to growth in MS media (Fig. 5).
Fig. 4.

OsPYL/RCAR5-overexpressing transgenic rice exhibits growth inhibition under osmotic stress conditions. (A) Seedling growth in post-germination assays on 1/2 MS plates without or with 200mM mannitol. (B) Relative shoot growth (left) and relative root growth (right); error bars represent standard error of 10 replicates: *P < 0.05 (this figure is available in colour at JXB online).

Fig. 5.

OsPYL/RCAR5-overexpressing transgenic rice exhibits hypersensitivity to ABA. (A) Seedling growth in post-germination assays on 1/2 MS plates without or with 5 μM ABA. (B) Relative shoot growth (left) and relative root growth (right); error bars represent standard error of five replicates: *P < 0.05 (this figure is available in colour at JXB online).

OsPYL/RCAR5-overexpressing transgenic rice exhibits growth inhibition under osmotic stress conditions. (A) Seedling growth in post-germination assays on 1/2 MS plates without or with 200mM mannitol. (B) Relative shoot growth (left) and relative root growth (right); error bars represent standard error of 10 replicates: *P < 0.05 (this figure is available in colour at JXB online). OsPYL/RCAR5-overexpressing transgenic rice exhibits hypersensitivity to ABA. (A) Seedling growth in post-germination assays on 1/2 MS plates without or with 5 μM ABA. (B) Relative shoot growth (left) and relative root growth (right); error bars represent standard error of five replicates: *P < 0.05 (this figure is available in colour at JXB online).

Transgenic plants overexpressing OsPYL/RCAR5 have dwarf phenotypes and show reduced yield

To examine the agricultural traits of the OsPYL/RCAR5-OE lines, they were grown in paddy fields and four agronomic traits were examined. Mature OsPYL/RCAR5-OE lines showed semi-dwarfism, even though severe differences were not observed until the four-leaf stage (Fig. 6A and B). Overall, the stems of mature OsPYL/RCAR5-OE plants were around 10% shorter than those of the wild type. When the lengths of the individual internodes were compared, each internode was slightly shorter than that of the control plants (Fig. 6B), revealing that growth inhibition occurred in all internodes and that there were no specific differential effects on particular internodes (Fig. 6B). Despite the reduced height, there was no significant difference in tiller number between transgenic and control plants (Fig. 6D). However, the total grain weight of the OsPYL/RCAR5-OE lines was approximately one-third that of control plants (Fig. 6C).
Fig. 6.

Agricultural traits of rice overexpressing OsPYL/RCAR5. (A) Morphology of mature rice grown in a paddy field. (B) Stem heights showing each internode length. (C) Total seed weight. (D) Number of panicles per plant. Error bars represent standard error of eight replicates. Asterisks above the bars indicate significant differences between lines: *P < 0.05, **P < 0.01.

Agricultural traits of rice overexpressing OsPYL/RCAR5. (A) Morphology of mature rice grown in a paddy field. (B) Stem heights showing each internode length. (C) Total seed weight. (D) Number of panicles per plant. Error bars represent standard error of eight replicates. Asterisks above the bars indicate significant differences between lines: *P < 0.05, **P < 0.01.

Expression of abiotic stress-responsive genes is altered in transgenic rice overexpressing OsPYL/RCAR5

Since OsPYL/RCARs plays pivotal roles in ABA-dependent transcriptional regulation, this work performed genome-wide microarray analysis of OsPYL/RCAR5-OE and compared the results with transcriptomic data under drought stress that was downloaded from ArrayExpress and from the public microarray database NCBI GEO. A total of 162 genes 2-fold upregulated and 159 genes 2-fold downregulated were identified in OsPYL/RCAR5-OE compared with the wild type under normal growth condition (Supplementary Table S1). Of the former, 61 genes were commonly upregulated by both drought and overexpression of OsPYL/RCAR5, and 12 genes showed opposite differential expression with a change more than 2-fold (Fig. 7A). Of the latter, 69 genes were commonly downregulated and three genes inversely upregulated with respect to drought (Supplementary Table S2 and Fig. 7B). These analyses show that many genes induced by drought treatment are already expressed in OsPYL/RCAR5-OE plants even under normal growth conditions. The other genes differentially expressed in wild-type and OsPYL/RCAR5-OE plants might explain the growth retardation phenotype of OsPYL/RCAR5-OE plants.
Fig. 7.

Heat map of expression patterns under various drought stresses for genes differentially expressed in OsPYL/RCAR5-OE plants compared with control plants: genes up-regulated (A) and down-regulated (B) in OsPYL/RCAR5-OE plants. OX/WT indicates log2 fold change of OsPYL/RCAR5-OE plant over wild type plant. Log2 fold change data indicates average log2 fold change value of 31 drought stress treatments compared to untreated control from public database.

Heat map of expression patterns under various drought stresses for genes differentially expressed in OsPYL/RCAR5-OE plants compared with control plants: genes up-regulated (A) and down-regulated (B) in OsPYL/RCAR5-OE plants. OX/WT indicates log2 fold change of OsPYL/RCAR5-OE plant over wild type plant. Log2 fold change data indicates average log2 fold change value of 31 drought stress treatments compared to untreated control from public database.

Gene ontology analysis for functional classification

To discern the biological meaning of genes commonly differentially expressed by drought and in OsPYL/RCAR5-OE plants, GO annotation analysis in the biological process category was carried out for 61 genes commonly upregulated and 69 genes commonly downregulated in OsPYL/RCAR5-OE plants compared to the wild type and drought compared to control treatment. Among the commonly upregulated genes, the majority were associated with metabolic processes, cellular processes, and response to stress (Fig. 8A), and similar results were obtained for commonly downregulated genes (Fig. 8B).
Fig. 8.

GO analysis in the biological process category for genes differentially expressed in OsPYL/RCAR5-OE and control plants and under drought and control treatments: genes upregulated (A) and downregulated (B) in OsPYL/RCAR5-OE plants.

GO analysis in the biological process category for genes differentially expressed in OsPYL/RCAR5-OE and control plants and under drought and control treatments: genes upregulated (A) and downregulated (B) in OsPYL/RCAR5-OE plants.

Discussion

With the discovery of PYL/RCARs as ABA receptors, the last piece of the puzzle of signalling networks for ABRE-mediated ABA-dependent gene expression was revealed (Ma ; Park ). These signalling networks have been recently reported in other plants, including rice, beechnut, and cucumber (Saavedra ; Kim ; Romero ; Wang ). Genes involved in ABA signalling are prime targets to improve abiotic stress tolerance of plants. AtPYL/RCAR5 enhances stress tolerance when constitutively overexpressed in Arabidopsis. Moreover, a constitutively activated (CA) PYR1 ABA receptor that interacts with PP2C without ABA was engineered successfully using site-saturated mutagenesis (Mosquna ). Also, Arabidopsis lines constitutively overexpressing CA PYL4 showed enhanced drought tolerance compared to Arabidopsis lines overexpressing wild-type PYL4 (Pizzio ). These results suggest that ABA receptors are candidates to improve abiotic stress tolerance of crops. However, it has not yet reported whether the overexpression of ABA receptors in a monocotyledonous species can enhance abiotic stress tolerance. This study thus provides the first report in a monocot model plant (rice) that constitutive overexpression of a cytosolic ABA receptor (OsPYL/RCAR5) confers not only drought tolerance but also salt tolerance. Abiotic stress-tolerant or ABA-hypersensitive plants might show growth retardation because of hypersensitivity in terms of recognizing and responding to stresses, directing resources to protection from stresses rather than growing or yielding. Thus it is a general problem that genes improving abiotic stress tolerance cause growth retardation even under normal growth conditions when they are constitutively overexpressed. In particular, constitutive overexpression of ABA-signalling-related genes might significantly retard growth, since ABA plays a pivotal role in plant development and growth regulation (Sreenivasulu ). For example, DREB1A-overexpressing plants driven by the 35S cauliflower mosaic virus promoter showed reduced growth under normal conditions (Kasuga ; Nakashima ). Transgenic plants overexpressing the Arabidopsis downregulating β-subunit of farnesyltransferase (AtFTB), a negative regulator of ABA signalling, are drought tolerant but also show seedling growth inhibition (Wang ). To solve this problem, stress-inducible promoters such as rd29A have been used and have successfully solved the problem to some degree (Kasuga ; Wang ). Young OsPYL/RCAR5-OE seedlings, when grown under optimized conditions in growth chambers or on plates, also showed slight growth retardation. However, when grown to maturity in paddy fields, OsPYL/RCAR5-OE plants showed severe growth retardation, in terms of internode length and leaf length and severely reduced total seed yields. In the paddy field, there are many stress factors which cannot be regulated, such as cold, heat, drought, and high light. For example, based on the minimum field temperatures (Supplementary Fig. S1), 25 and 19 d were recorded with a minimum temperature under 17 °C from May 21 to end of September in 2011 and 2012, respectively. Temperatures under 17 °C might have given mild cold stress to rice vegetative growth and pollination (Suh ). If OsPYL/RCAR5-OE responds excessively to mild cold stress, this could explain the retarded growth of OsPYL/RCAR5-OE plants compared to control plants, at least in part. The overproduced OsPYL/RCAR5 proteins might sequester subclass A PP2Cs and keep them inactive through interaction in normal conditions with low levels of ABA. Thus, the SAPKs could be in an active state in normal or in mild stress conditions because subclass A PP2C cannot inhibit SAPK activity (Cutler ; Umezawa ). This could underlie the excessive responsiveness of OsPYL/RCAR5-OE rice lines to abiotic stresses. In addition, OsPYL/RCAR5-OE rice could be in a stress-responsive state even under normal growth conditions. Transcriptome and meta-expression analyses also support the idea that OsPYL/RCAR5-OE plants activate the stress-responsive gene expression signalling network even in the absence of stress treatment. Microarray analysis of OsPYL/RCAR5-OE vs. the wild type revealed that ~321 genes were induced or repressed at least 2-fold in transgenic rice even in the absence of osmotic stress. Of these, 61 genes upregulated in OsPYL/RCAR5-OE were also upregulated by drought treatments (Fig. 7). In particular, typical drought-stress-responsive genes such as LEA, dehydrin, and Hsp were induced in OsPYL/RCAR5-OE plants even in the absence of osmotic stress. Taken together, these results demonstrate that OsPYL/RCAR5, encoding the first functional ABA receptor reported in monocots, is a good candidate gene for the improvement of abiotic stress tolerance in monocot crops, although further studies for fine regulation of gene expression are required to avoid negative effects on growth and grain yield.

Supplementary material

Supplementary data are available at JXB online. Supplementary Fig. S1. Seasonal variations of temperatures and relative humidities of the rice paddy field in the years 2011 and 2012. Supplementary Table S1. List of 2-fold up- and downregulated genes in OsPYL/RCAR5-OE compared with wild type under normal growth conditions. Supplementary Table S2. List of commonly up-, down-, or inversely regulated genes compared with drought-regulated genes.
  28 in total

1.  A rice orthologue of the ABA receptor, OsPYL/RCAR5, is a positive regulator of the ABA signal transduction pathway in seed germination and early seedling growth.

Authors:  Hyunmi Kim; Hyunsik Hwang; Jung-Woo Hong; Young-Na Lee; Il Pyung Ahn; In Sun Yoon; Sang-Dong Yoo; Sukchan Lee; Sung Chul Lee; Beom-Gi Kim
Journal:  J Exp Bot       Date:  2011-11-09       Impact factor: 6.992

2.  A comparison of normalization methods for high density oligonucleotide array data based on variance and bias.

Authors:  B M Bolstad; R A Irizarry; M Astrand; T P Speed
Journal:  Bioinformatics       Date:  2003-01-22       Impact factor: 6.937

Review 3.  Contrapuntal role of ABA: does it mediate stress tolerance or plant growth retardation under long-term drought stress?

Authors:  Nese Sreenivasulu; Vokkaliga T Harshavardhan; Geetha Govind; Christiane Seiler; Ajay Kohli
Journal:  Gene       Date:  2012-07-05       Impact factor: 3.688

4.  Improving plant drought, salt, and freezing tolerance by gene transfer of a single stress-inducible transcription factor.

Authors:  M Kasuga; Q Liu; S Miura; K Yamaguchi-Shinozaki; K Shinozaki
Journal:  Nat Biotechnol       Date:  1999-03       Impact factor: 54.908

5.  Identification and analysis of QTLs controlling cold tolerance at the reproductive stage and validation of effective QTLs in cold-tolerant genotypes of rice (Oryza sativa L.).

Authors:  J P Suh; J U Jeung; J I Lee; Y H Choi; J D Yea; P S Virk; D J Mackill; K K Jena
Journal:  Theor Appl Genet       Date:  2009-12-10       Impact factor: 5.699

Review 6.  Molecular basis of the core regulatory network in ABA responses: sensing, signaling and transport.

Authors:  Taishi Umezawa; Kazuo Nakashima; Takuya Miyakawa; Takashi Kuromori; Masaru Tanokura; Kazuo Shinozaki; Kazuko Yamaguchi-Shinozaki
Journal:  Plant Cell Physiol       Date:  2010-10-26       Impact factor: 4.927

7.  The nuclear interactor PYL8/RCAR3 of Fagus sylvatica FsPP2C1 is a positive regulator of abscisic acid signaling in seeds and stress.

Authors:  Xandra Saavedra; Abelardo Modrego; Dolores Rodríguez; Mary Paz González-García; Luis Sanz; Gregorio Nicolás; Oscar Lorenzo
Journal:  Plant Physiol       Date:  2009-11-04       Impact factor: 8.340

8.  Abscisic acid inhibits type 2C protein phosphatases via the PYR/PYL family of START proteins.

Authors:  Sang-Youl Park; Pauline Fung; Noriyuki Nishimura; Davin R Jensen; Hiroaki Fujii; Yang Zhao; Shelley Lumba; Julia Santiago; Americo Rodrigues; Tsz-Fung F Chow; Simon E Alfred; Dario Bonetta; Ruth Finkelstein; Nicholas J Provart; Darrell Desveaux; Pedro L Rodriguez; Peter McCourt; Jian-Kang Zhu; Julian I Schroeder; Brian F Volkman; Sean R Cutler
Journal:  Science       Date:  2009-04-30       Impact factor: 47.728

9.  Regulators of PP2C phosphatase activity function as abscisic acid sensors.

Authors:  Yue Ma; Izabela Szostkiewicz; Arthur Korte; Danièle Moes; Yi Yang; Alexander Christmann; Erwin Grill
Journal:  Science       Date:  2009-04-30       Impact factor: 47.728

10.  The Citrus ABA signalosome: identification and transcriptional regulation during sweet orange fruit ripening and leaf dehydration.

Authors:  Paco Romero; María T Lafuente; María J Rodrigo
Journal:  J Exp Bot       Date:  2012-08-09       Impact factor: 6.992

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  72 in total

1.  Increased water use efficiency and water productivity of arabidopsis by abscisic acid receptors from Populus canescens.

Authors:  Michael Papacek; Alexander Christmann; Erwin Grill
Journal:  Ann Bot       Date:  2019-10-29       Impact factor: 4.357

Review 2.  Plant Chemical Genetics: From Phenotype-Based Screens to Synthetic Biology.

Authors:  Wim Dejonghe; Eugenia Russinova
Journal:  Plant Physiol       Date:  2017-03-08       Impact factor: 8.340

Review 3.  Genetic mechanisms of abiotic stress tolerance that translate to crop yield stability.

Authors:  Michael V Mickelbart; Paul M Hasegawa; Julia Bailey-Serres
Journal:  Nat Rev Genet       Date:  2015-03-10       Impact factor: 53.242

4.  The protein phosphatase 2C clade A protein OsPP2C51 positively regulates seed germination by directly inactivating OsbZIP10.

Authors:  Nikita Bhatnagar; Myung-Ki Min; Eun-Hye Choi; Namhyo Kim; Seok-Jun Moon; Insun Yoon; Taekryoun Kwon; Ki-Hong Jung; Beom-Gi Kim
Journal:  Plant Mol Biol       Date:  2016-12-20       Impact factor: 4.076

5.  Ectopic Expression of Rice PYL3 Enhances Cold and Drought Tolerance in Arabidopsis thaliana.

Authors:  Sangram K Lenka; Senthilkumar K Muthusamy; Viswanathan Chinnusamy; Kailash C Bansal
Journal:  Mol Biotechnol       Date:  2018-05       Impact factor: 2.695

6.  Mutations in a subfamily of abscisic acid receptor genes promote rice growth and productivity.

Authors:  Chunbo Miao; Lihong Xiao; Kai Hua; Changsong Zou; Yang Zhao; Ray A Bressan; Jian-Kang Zhu
Journal:  Proc Natl Acad Sci U S A       Date:  2018-05-21       Impact factor: 11.205

7.  Genetic manipulation of abscisic acid receptors enables modulation of water use efficiency.

Authors:  Ryosuke Mega; Hisashi Tsujimoto; Masanori Okamoto
Journal:  Plant Signal Behav       Date:  2019-07-16

8.  Agrochemical control of plant water use using engineered abscisic acid receptors.

Authors:  Sang-Youl Park; Francis C Peterson; Assaf Mosquna; Jin Yao; Brian F Volkman; Sean R Cutler
Journal:  Nature       Date:  2015-02-04       Impact factor: 49.962

9.  The De-Etiolated 1 Homolog of Arabidopsis Modulates the ABA Signaling Pathway and ABA Biosynthesis in Rice.

Authors:  Guangchao Zang; Hanyan Zou; Yuchan Zhang; Zheng Xiang; Junli Huang; Li Luo; Chunping Wang; Kairong Lei; Xianyong Li; Deming Song; Ahmad Ud Din; Guixue Wang
Journal:  Plant Physiol       Date:  2016-05-02       Impact factor: 8.340

10.  Genome-Wide Expression Profiles of Hemp (Cannabis sativa L.) in Response to Drought Stress.

Authors:  Chunsheng Gao; Chaohua Cheng; Lining Zhao; Yongting Yu; Qing Tang; Pengfei Xin; Touming Liu; Zhun Yan; Yuan Guo; Gonggu Zang
Journal:  Int J Genomics       Date:  2018-05-15       Impact factor: 2.326

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