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First published online October 9, 2009; 10.1104/pp.109.141911 Plant Physiology 151:1918-1929 (2009) © 2009 American Society of Plant Biologists OPEN ACCESS ARTICLE
The Impact of Water Deficiency on Leaf Cuticle Lipids of Arabidopsis1,[W],[OA]Department of Horticulture and Landscape Architecture, Purdue University, West Lafayette, Indiana 47907 (D.K.K., E.P.P., S.L., M.A.J.); and Laboratoire de Biogenèse Membranaire, Université Victor Segalen Bordeaux 2, Centre National de la Recherche Scientifique, Unité Mixte de Recherche 5200, 33076 Bordeaux cedex, France (B.B., A.B., J.J.)
Arabidopsis (Arabidopsis thaliana) plants subjected to water deficit, sodium chloride (NaCl), or abscisic acid treatments were shown to exhibit a significant increase in the amount of leaf cuticular lipids. These stress treatments led to increases in cuticular wax amount per unit area of 32% to 80%, due primarily to 29% to 98% increases in wax alkanes. Of these treatments, only water deficit increased the total cutin monomer amount (by 65%), whereas both water deficit and NaCl altered the proportional amounts of cutin monomers. Abscisic acid had little effect on cutin composition. Water deficit, but not NaCl, increased leaf cuticle thickness (by 49%). Electron micrographs revealed that both water-deprived and NaCl-treated plants had elevated osmium accumulation in their cuticles. The abundance of cuticle-associated gene transcripts in leaves was altered by all treatments, including those performed in both pot-grown and in vitro conditions. Notably, the abundance of the ECERIFERUM1 gene transcript, predicted to function in alkane synthesis, was highly induced by all treatments, results consistent with the elevated alkane amounts observed in all treatments. Further, this induction of cuticle lipids was associated with reduced cuticle permeability and may be important for plant acclimation to subsequent water-limited conditions. Taken together, these results show that Arabidopsis provides an excellent model system to study the role of the cuticle in plant response to drought and related stresses, and its associated genetic and cellular regulation.
The plant cuticle is a lipidic layer of cutin intermeshed and coated with waxes that covers essentially all aerial organs and functions to restrict transpiration. By this mechanism, the cuticle is thought to play a critical role in plant drought tolerance through its ability to postpone the onset of cellular dehydration stress during drought (Jenks, 2002 -hydroxyl groups and can be linked through ester bonds. Cutin monomers may be linked directly to each other or through esterification to glycerol (Kolattukudy, 2001a
Recent studies establish that many plants respond to water deficit stress through increased cuticular wax deposition (Shepherd and Wynne Griffiths, 2006
Impact of Water Deficit, Sodium Chloride, and ABA on Cuticular Wax The wax composition of rosette leaves from plants subjected to 150 mM sodium chloride (NaCl), water deficit, or 10 µM or 100 µM ABA treatments was measured to assess the influence of water deficit and associated treatments on wax composition. Waxes of water deficit-treated plants were sampled approximately 8 d after water was withheld. NaCl and ABA treatments were applied three times over an 8 d period. Control plants were subirrigated with water every 3 d, with waxes sampled on the same day as corresponding stress treatments. At the end of the stress treatment period, water deficit-treated plants had a relative water content (RWC) of approximately 60%, the 150 mM-treated plants had a RWC of approximately 79%, the ABA-treated plants RWC was approximately 93%, whereas control plants had a RWC of approximately 95%. All treatments resulted in a significant increase in total wax amount per unit leaf area (Fig. 1 ), with the most striking increase observed on NaCl-treated and water deficit-treated plants, which had 80% (t(6) = 7.62, P = 0.0068) and 75% (t(6) = 6.04, P = 0.0009) more wax than control plants, respectively. ABA treatment also led to a significant increase in total wax amount, with 32% (t(4) = 6.38, P = 0.0031) and 54% (t(4) = 9.61, P = 0.0007) increases observed on plants that were sprayed with 10 µM or 100 µM ABA, respectively. The leaves used for wax extraction from water deficit- and NaCl-treated plants had a smaller surface area compared to control plants (31% and 42% smaller, respectively), whereas ABA-treated plants did not have smaller leaves. In addition, we observed significant shifts in the proportion of specific wax constituents. As such, the changes in wax profiles resulting from these stress treatments were not due to leaf area effects alone, but most likely involve wax metabolic responses.
All treatments shifted the proportional distribution of wax classes. In general, alkanes accounted for the observed large increases in total wax amount, with 98% (t(6) = 7.98, P = 0.0002) and 93% (t(6) = 6.79, P = 0.0005) increases observed on NaCl-treated and water deficit-treated plants, respectively, and 29% (t(4) = 4.27, P = 0.0129) and 69% (t(4) = 9.61, P = 0.0007) increases on 10 µM and 100 µM ABA-treated plants, respectively (Fig. 1). In general, the increased leaf alkane content was attributable, primarily, to increases in the very-long-chain (C29, C31, and C33) constituents (Fig. 1). Minor but significant increases were observed in other wax class amounts such as fatty acids (t(6) = 2.98, P = 0.0247) and aldehydes (t(6) = 4.67, P = 0.0034) on NaCl-treated plants, ketones (t(6) = 9.88; P < 0.0001) on water deficit-treated plants, and aldehydes (10 µM ABA, t(4) = 3.52, P = 0.0245; 100 µM ABA, t(4) = 4.15, P = 0.0142) on ABA-treated plants. Nonetheless, in all cases, alkanes represented the largest absolute increase of any given wax class.
Cutin monomers were sampled from water deficit-, NaCl-, and ABA-treated plants using the same treatments as described above for wax sampling. Water deficit led to a 65% (t(5) = 3.28, P = 0.022) increase in total cutin per unit leaf area, largely manifested as a 67% increase (t(5) = 2.57, P = 0.0498) in C18:2 dioic acids (Fig. 2 ). Additionally, water deficit significantly increased C16:0 dioic acid (57%; t(5) = 6.51, P = 0.0013), C18:1 dioic acid (52%; t(5) = 5.28, P = 0.0033), and C16:0 (9)10,16-dihydroxy acid amounts (104%; t(3.08) = 3.94, P = 0.0277). The 150 mM NaCl treatment did not result in an increase in the total amount of cutin monomers (Fig. 2). However, salt-treated plants did have significantly higher amounts of C16:0 dioic acids (t(5) = 7.35, P = 0.0007), C16:0 (9)10,16-dihydroxy acids (t(5) = 4.46, P = 0.0007), and C18:0 18-hydroxy acids (t(5) = 3.03, P = 0.0289). ABA treatments did not significantly increase the amounts of total measured cutin or any individual constituent (Fig. 2).
Impact of Water Deficit and NaCl on Cuticle Ultrastructure Transmission electron microscopy (TEM) analysis revealed that water deficit-treated plants had thicker cuticles than unstressed control plants (Fig. 3 ). On average, controls from separate experiments of water deficit-treated and NaCl-treated plants had leaf cuticles 55.3 ± 14.8 nm and 55.7 ± 8.1 nm thick, respectively. Water deficit-treated and 150 mM NaCl-treated plants had leaf cuticles 82.3 ± 10.6 nm and 66.0 ± 12.1 nm thick, respectively, representing 49% and 18% increases in cuticle thickness, respectively. Water deficit-treated and salt-treated plants also exhibited higher accumulations of osmium in the cuticle, especially the cuticular layer, as revealed by the darker appearance of treated cuticles in the micrographs (Fig. 3).
Impact of Water Deficit, NaCl, and ABA on the Expression of Genes Associated with Cuticle Production Transcript profiling from leaves of pot-grown plants showed that several cuticle genes (selected based on compositional analysis) were quite responsive to water deficit, salt, and ABA (Fig. 4 ). ECERIFERUM1 (CER1), CER5, and MYB41 exhibited significant increases in transcript abundance in water deficit-treated plants, whereas CER4, LACS1, LACS2, ATT1, and MYB30 showed significantly lower expression (Fig. 4). In salt-exposed plants, only KCS6/CER6 was induced 24 h after the potting medium was subirrigated with 150 mM NaCl; whereas MYB41 had notably lower transcript abundance (Fig. 4). ABA treatment caused (24 h after treatment) an over 2-fold increase in CER1 transcript abundance, but also increased the abundance of CER3/WAX2, CER5, and LACS2 transcripts by about 2-fold (with the LACS1 expression level falling just below the 2-fold increase).
As a comparison to studies using pot-grown plants, cuticle-associated gene expression studies were also performed on plants grown in vitro, and exposed to analogous water deficit, NaCl, and ABA treatments as in the pot-grown plants (Fig. 5 ). For in vitro water deficit treatments, petri dish lids were removed, exposing plants to the dry atmosphere; RNA extraction was performed 6 and 24 h later. The 6 h water deficit caused an approximately 2-fold or higher increase in 22 of the 24 cuticle-associated gene transcripts, except GPAT8 and ACR4, whereas the 24 h treatment increased, by approximately 2-fold or higher, transcript abundance of 14 of the 24 genes, including KCS6, KCR, CER1, CER4, CER5, WBC11, CER7, LACS2, LACS3, ATT1, LCR, HTH, SHN3, and MYB41 (Fig. 5). CER1 was increased most by the in vitro water deficit treatment. The NaCl treatments caused a approximately 2-fold increase in KCS6, KCR, CER1, CER3, SHN2, SHN3, and MYB41 (Fig. 5). The ABA treatment caused an approximately 2-fold increase in KCS6, CER1, CER3, WBC11, ATT1, SHN2, SHN3, and MYB41 (Fig. 5). NaCl treatment reduced abundance of LACS1 and LCR transcripts, whereas ABA treatment led to lower abundance of GPAT8 and MYB30 transcripts.
Association of Cuticle Composition with Cuticle Permeability and Plant Drought Acclimation
To assess the impact of stress-associated changes in cuticle properties on determinants of plant water status, rosette water-loss and chlorophyll-leaching assays were employed on plants that had received the same treatment schemes as those outlined for wax/cutin sampling. All treatments resulted in a reduced rate of both leaf water loss (Fig. 6
) and leaf chlorophyll leaching (Fig. 7
). Although the differences were very small, plants subirrigated with 150 mM NaCl could be shown to exhibit the same small reduction in leaf water-loss rate curve in two replicate experiments, suggesting that these differences were significant. It must be considered that supraoptimal levels of salt inflict both hyperosmotic and hyperionic stress on plants (Hasegawa et al., 2000
We also sought to determine if the cuticle changes induced by exposure to water deficit would improve plant tolerance to subsequent water-limited environments (i.e. whether treatments provide drought acclimation). It was observed that plants subjected to water deficit were better able to withstand subsequent water deprivation, compared to previously nonstressed plants, as evidenced by delayed wilting and the maintenance of a higher RWC (Fig. 8 ).
We report that Arabidopsis plants exposed to a water deficit treatment (wherein irrigation was withheld for approximately 8 d) exhibited a significant increase in total leaf cuticle wax amount of approximately 75% relative to nontreated plants, a value similar to those reported for other plants exposed to water deficit, including both dicotyledonous and graminaceous species (Seiler, 1985
Previous studies in rose (Williams et al., 1999
The distribution, size, and number of wax crystalline domains within the cuticle are thought to define tortuous paths for the diffusion of water, and thereby serve as major determinants of cuticle permeability (Riederer and Schreiber, 1995
As another issue that requires further study, it is yet unclear what role cutin plays in cuticle permeability. Numerous cutin monomer-deficient mutants in Arabidopsis have been reported that show large elevations in cuticle permeability, and from these studies and others (Kosma and Jenks, 2007
We implicate the three genes CER1, CER5, and MYB41 as important water deficit-inducible cuticle-associated genes, which is consistent with their proposed roles in alkane synthesis (Aarts et al., 1995
Previous studies (Hooker et al., 2002
Few studies have examined NaCl or other salts in plant cuticle induction. Nevertheless, Suaeda maritima shows a 60% increase in leaf cuticle membrane thickness after salt treatment, and this was associated with a 35% reduction in transpiration rate (Hajibagheri et al., 1983
A higher proportion of genes were induced with in vitro-grown Arabidopsis plants than were induced in pot-grown plants exposed to comparable water deficit treatments, especially at the 6 h time point following exposure to dry air (including those reported by Joubès et al., 2008
Collectively, our results demonstrate that Arabidopsis plants respond to water deficit treatment by increasing the deposition of both leaf cuticular waxes and cutin monomers, and increasing the thickness and osmiophilicity of the cuticle membrane. Likewise, NaCl and ABA induce leaf waxes, but in contrast to water deficit have little effect on cutin monomers. The larger increase in waxes versus cutin monomers on treated leaves, particularly the predominant increase in wax alkanes, fits well with previous models that implicate waxes as critical determinants of cuticle permeability (Buchholz, 2006
Plant Growth Conditions and Water Deficit, NaCl, and ABA Treatments for Wax and Cutin Chemistry, TEM Analysis, Epidermal Permeability, Water Deprivation Acclimation, and Pot-Grown Gene Expression Experiments Arabidopsis (Arabidopsis thaliana; ecotype Columbia-0) seeds were stratified for 3 to 4 d at 4°C, and plants were grown in 3-inch pots of Promix PGX soilless media (Premier Horticulture) at a density of four to six plants per pot. Growth conditions consisted of a growth room at 21°C to 22°C with 30% to 60% relative humidity, a 16/8-h light/dark cycle, and a light intensity of 125 to 150 µmol m–2 s–1 or a greenhouse during the months of September to February with an average temperature of 22°C, an average relative humidity of 68%, and ambient sunlight supplemented with a combination of high-pressure sodium and metal halide lamps contributing approximately 100 µmol m–2 s–1 at plant height on a 16/8-h light/dark cycle. Plants were fertilized once per week for the 2 weeks of growth prior to stress treatments with 1,000 mg per liter 15-5-15 of Miracle Gro© Excel© Cal-Mag (The Scotts Co.) at a pH range of 5.7 to 6.0 with alkalinity reduction achieved via 93% sulfuric acid (Ulrich Chemical) at 0.08 mL per liter. Fifteen to 16-d-old plants were used for all stress treatments. NaCl stress was imposed by subirrigation with a 150 mM NaCl (Mallinckrodt Baker) solution, allowing 20 to 30 min for absorption, three times over a 7 d period. Control plants for NaCl-treated plants were watered with greenhouse tap water each time NaCl was applied. For water deficit treatments pots were deprived of water until wilting of lower leaves was observed (typically 7–9 d; RWC approximately 60%). ABA treatment consisted of spraying with 10 µM or 100 µM ABA (Sigma-Aldrich) solution three times over a 7 d period. ABA was dissolved in methanol and treatment solutions prepared by dilution, with distilled, deionized water, to the appropriate volume. Control plants for the ABA treatments were sprayed with distilled, deionized water containing equivalent amounts of methanol. For NaCl and ABA treatments, all biochemical and physiological analyses were performed on the 8th d after initial treatment. For gene expression analysis, rosette leaves were harvested 24 h after 150 mM NaCl and 10 µM ABA application; rosette leaves from water-deprived plants were harvested when leaves showed minor wilting (RWC approximately 60%). Leaves from untreated control plants were harvested at the same time as leaves from treated plants. For water deprivation acclimation studies, plants were grown in a growth chamber at 22°C to 25°C, under a light/dark 8/16-h photoperiod of white light at 185 to 210 µmol m–2 s–1. Fifteen to 16-d-old plants were deprived of water until nearly all plants wilted (typically 14 d) and had reached a RWC of 49%. Control plants grown alongside water deficit-treated plants were watered as needed with tap water. Once water deficit-treated plants had wilted, the soil of both control plants and water deficit-treated plants was saturated with tap water and allowed to recover for 20 h. After 20 h, excess water was poured off both groups of plants. Control (nonacclimated) and water-deprived (acclimated) plants were then subsequently deprived of water until the majority of control plants had wilted (typically 11 d) and had reached a RWC of 56%.
Fresh weights of entire rosettes, removed from their roots, were collected on a microbalance. Rosettes were then submerged in distilled, deionized water for 12 h, blotted dry, and saturated fresh weights were collected. Rosettes were then dried in an oven at 80°C until a constant mass was achieved at which point dry weights were collected. Rosette RWC was calculated as described by Barrs and Weatherley (1962)
Rosette leaf wax composition was determined as described by Chen et al. (2003)
Leaf cutin monomer content was analyzed based on methods described by Lü et al. (2009)
Leaf cuticle ultrastructure was analyzed by TEM according to methods employed by Chen et al. (2003)
To quantify excised rosette water loss, plants were dark acclimated for 3 h prior to measurement. Whole rosettes were excised (from roots) and placed immediately in water (in the dark) and soaked for 60 min to equilibrate water contents. Rosettes removed from soaking were shaken gently and blotted dry to remove excess water, with weights determined gravimetrically every 20 min using a microbalance. Data were expressed as a percentage of the initial water-saturated fresh weight.
Epidermal permeability was also assessed using chlorophyll efflux. Plants were watered and allowed to rehydrate during a 3-h dark-acclimated period prior to measurement. Entire rosettes were collected and immersed in a equal volumes of 80% ethanol in glass scintillation vials. Vials were covered with aluminum foil and agitated gently on a shaker platform. Aliquots of 1 mL were removed every 20 min and 24 h after initial immersion. The amount of chlorophyll extracted into the solution was quantified using a UV-2102 PC spectrophotometer (UNICO) and calculated from UV light absorption at 647 and 664 nm as described by Lolle et al. (1998)
Arabidopsis (ecotype Columbia-0) was used in all experiments. Seeds were either plated on Murashige and Skoog (MS) medium supplemented with 0.7% agar, 2.5 mM MES-KOH, pH 5.7 and plants were grown under long-day conditions (16 h of light, 8 h of darkness) at 22°C, or placed in liquid 0.5x MS medium supplemented with 2% Glc, 20 mM MES-KOH, pH 5.7 and grown under long-day conditions at 22°C on a rotary shaker (120 rpm). The 15-d-old seedlings grown into 0.5x MS medium were osmotically stressed by transferring the plants into new 0.5x MS medium containing 150 mM NaCl or 10 µM ABA for 24 h. For water deficit treatment, the plates containing the seedlings were opened for 6 or 24 h. After 6 or 24 h of treatment, plants were used for RNA extraction.
RNA from Arabidopsis tissues with the RNeasy plant mini kit (Qiagen). Purified RNA was treated with DNase I using the DNA-free kit (Ambion). First-strand cDNA was prepared from 1 µg of total RNA with the Superscript RT II kit (Invitrogen) and oligo(dT)18 according to the manufacturer's instructions. A 0.66-µL aliquot of the total reaction volume (20 µL) was used as a template in real-time reverse transcription (RT)-mediated PCR amplification.
The PCR amplification was performed with gene-specific primers listed in Supplemental Table S1. PCR efficiency ranged from 95% to 105%. All samples were assayed in triplicate wells. Real-time PCR was performed on a iCycler (Bio-Rad). Samples were amplified in a 25-µL reaction containing 1x SYBR Green Master Mix (Bio-Rad) and 300 nM of each primer. The thermal profile consisted of 1 cycle at 95°C for 3 min 30 s followed by 40 cycles at 95°C for 30 s and at 58°C for 30 s. For each run, data acquisition and analysis was done using the iCycler iQ software (version 3.0a, Bio-Rad). The transcript abundance in treated samples relative to untreated samples was determined using a comparative cycle threshold method. The relative abundance of ACT2 mRNAs in each sample was determined and used to normalize for differences of total RNA amount according to the method described by Vandesompele et al. (2002)
Wax and cutin data were analyzed using SAS 9.1.3 software (SAS Institute Inc.). Student's t tests were used to analyze data when the assumptions of normality and homoscedasticity were met. Welch-Satterthwaite t tests were used to analyze data when assumptions of normality and homoscedasticity were not met. Sequence data from this article can be found in the GenBank/EMBL data libraries under accession numbers At1g49240, At1g02205, At4g24510, At5g57800, At4g33790, At1g51500, At1g17840, At3g60500, At1g68530, At1g67730, At3g55360, At2g47240, At1g49430, At1g64400, At4g00360, At1g01610, At4g00400, At2g45970, At1g72970, At1g64670, At5g11190, At5g25390, At3g28910, At4g28110, and At3g59420.
The following materials are available in the online version of this article.
We would like to thank Debra Sherman and Chia-Ping Huang of the Purdue University Electron Microscopy Center. Received May 22, 2009; accepted October 6, 2009; published October 9, 2009.
1 This work was supported by the National Research Initiative of the U.S. Department of Agriculture Cooperative State Research, Education, and Extension Service (grant no. 2006–35304–17323) and, in part, by the Ministère de l'Enseignement Supèrieur et de la Recherche (France; doctoral fellowship to B.B. and A.B.). This work also received support from the Centre National de la Recherche Scientifique and the Université Victor Segalen Bordeaux 2. The author responsible for distribution of materials integral to the findings presented in this article in accordance with the policy described in the Instructions for Authors (www.plantphysiol.org) is: Matthew A. Jenks (jenksm{at}purdue.edu).
[W] The online version of this article contains Web-only data.
[OA] Open Access articles can be viewed online without a subscription. www.plantphysiol.org/cgi/doi/10.1104/pp.109.141911 * Corresponding author; e-mail jenksm{at}purdue.edu.
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