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Article

Comparative Proteomic Analysis of Puccinellia tenuiflora Leaves under Na2CO3 Stress

by
Juanjuan Yu
1,2,
Sixue Chen
3,
Tai Wang
4,
Guorong Sun
5 and
Shaojun Dai
1,*
1
College of Life and Environmental Sciences, Shanghai Normal University, Shanghai 200234, China
2
Sanquan Medical College, Xinxiang Medical University, Xinxiang 453003, He'nan, China
3
Department of Biology, Genetics Institute, Plant Molecular and Cellular Biology Program, Gainesville, FL 32610, USA
4
Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
5
Binzhou Polytechnic College, Binzhou 256603, Shandong, China
*
Author to whom correspondence should be addressed.
Int. J. Mol. Sci. 2013, 14(1), 1740-1762; https://doi.org/10.3390/ijms14011740
Submission received: 17 October 2012 / Revised: 31 December 2012 / Accepted: 6 January 2013 / Published: 15 January 2013
(This article belongs to the Special Issue Advances in Proteomic Research)
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Versions Notes

Abstract

:
Soil salt-alkalinization is a widespread environmental stress that limits crop growth and agricultural productivity. The influence of soil alkalization caused by Na2CO3 on plants is more severe than that of soil salinization. Plants have evolved some unique mechanisms to cope with alkali stress; however, the plant alkaline-responsive signaling and molecular pathways are still unknown. In the present study, Na2CO3 responsive characteristics in leaves from 50-day-old seedlings of halophyte Puccinellia tenuiflora were investigated using physiological and proteomic approaches. Comparative proteomics revealed 43 differentially expressed proteins in P. tenuiflora leaves in response to Na2CO3 treatment for seven days. These proteins were mainly involved in photosynthesis, stress and defense, carbohydrate/energy metabolism, protein metabolism, signaling, membrane and transport. By integrating the changes of photosynthesis, ion contents, and stress-related enzyme activities, some unique Na2CO3 responsive mechanisms have been discovered in P. tenuiflora. This study provides new molecular information toward improving the alkali tolerance of cereals.

1. Introduction

Salt-alkali soil is one of the major abiotic constraints limiting crop distribution and yield worldwide [1–3]. Plant salinity tolerance has been extensively studied, but the understanding of plant alkalinity tolerance is lacking. The alkali salt affects plant growth and development through sodium toxicity and high pH, which are more likely to cause serious damage than neutral salt to the plant [4]. The high soil pH (mainly attributed to carbonate salts, e.g., Na2CO3 and NaHCO3) could directly affect nutrient uptake, organic acid balance, and ion homeostasis, especially the pH stability at cellular and whole plant levels [4,5]. Meanwhile, some halophyte species can naturally survive in high alkaline soil, and have evolved various regulatory and metabolic mechanisms for alkali tolerance.
Alkali grass (Puccinellia tenuiflora) is an alkali tolerant halophyte species that can survive in highly alkaline soil (e.g., pH 10). Thus, it is considered as an outstanding pasture for soil improvement. Although some salt tolerant mechanisms in P. tenuiflora have been studied before [6], few studies were focused on the specific molecular mechanisms underlying alkali tolerance. To cope with saline or alkaline stress, P. tenuiflora has developed various strategies, such as ion balance [7–9], osmotic adjustment [9–11], and reactive oxygen species (ROS) scavenging [12]. Previous studies have revealed that P. tenuiflora can remarkably accumulate citric acid in leaves and roots when exposed to alkaline stress. This is different from salt stress under which citric acid levels remain unchanged [9,11]. The accumulation of citric acid in P. tenuiflora may play an important role in pH adjustments used to cope with alkaline stress [9,11]. Besides, several ion salt-responsive genes encoding antiporters/channel proteins in P. tenuiflora have been isolated and transformed into yeast, rice and Arabidopsis to test their biological functions. These genes include PutPMP3-1/2[13], PutHKT2;1[14], PutAKT1[15], KPutB1[16], PutCAX1[17], and PtNHA1[18]. The specific functions of these genes have been summarized in our previous article [6]. Furthermore, some candidate salt/alkali-responsive genes/proteins in P. tenuiflora have been found using high-throughput transcriptomic and proteomic approaches. A cDNA library was constructed for P. tenuiflora under 450 mM NaHCO3 stress for 48 h. It contained a total of 95 differentially regulated transcripts [19]. Our previous comparative proteomic analysis revealed 93 unique NaCl-responsive proteins in P. tenuiflora leaves [6]. These studies have provided important information for understanding salt-tolerance mechanisms and candidate gene functions. However, the alkali responsive molecular processes remain elusive.
In the present study, we analyzed the characteristics of P. tenuiflora leaves in response to Na2CO3 using physiological and comparative proteomic approaches. By integrating the changes of photosynthesis, ROS scavenging enzymes activities, ion contents, and alkali-responsive proteins, some unique mechanisms of P. tenuiflora in response to Na2CO3 have been revealed, leading to better understanding of the underlying molecular mechanisms of alkali tolerance in cereals.

2. Results

2.1. Effects of Na2CO3 Stress on the Growth and Photosynthesis of P. tenuiflora

To evaluate the effects of alkaline stress on the growth of P. tenuiflora, shoot length, leaf fresh weight, dry weight, and water content were determined (Figure 1). The shoot length declined gradually with the increase in Na2CO3 concentration (Figure 1A). The fresh weight and water content decreased when seedlings were treated with 95 mM Na2CO3 (Figure 1B,D).
The photosynthesis indexes of P. tenuiflora under Na2CO3 treatment were analyzed. After seven days of 38 mM and 95 mM Na2CO3 treatments, the P. tenuiflora seedlings did not show obvious damage to leaf morphology (data not shown), implying the high capacity of P. tenuiflora seedlings to tolerate Na2CO3. However, photosynthesis was affected by Na2CO3 stress. Stomatal conductance (Gs) (Figure 2A), photosynthetic rate (Pn) (Figure 2B), and transpiration rate (Tr) (Figure 2C) exhibited little changes under 38 mM Na2CO3 treatment, but showed marked decreases under 95 mM Na2CO3. In addition, chlorophyll fluorescence parameters were monitored to determine the performance of photosystem II (PSII) photochemistry. The maximum quantum efficiency of PSII photochemistry (Fv/Fm) (Figure 2D) and the PSII maximum efficiency (Fv′/Fm′) (Figure 2E) were not significantly altered under 38 mM Na2CO3, but were reduced remarkably under 95 mM Na2CO3. The non-photochemical quenching coefficient (qNP) (Figure 2F) remained constant under 38 mM and then increased under 95 mM Na2CO3 treatment.

2.2. Changes to Leaf Osmotic Potential, Plasma Membrane Integrity and Antioxidant Enzyme Activities

Leaf osmotic potential showed a significant decrease under Na2CO3 treatments (Figure 3A), indicating the seedlings suffered from osmotic stress. The electrolyte leakage ratio (Figure 3B) and malondialdehyde (MDA) contents (Figure 3C) were increased significantly under Na2CO3. This indicates that the plasma membrane integrity was damaged by Na2CO3 treatment, probably resulting from ROS generated under high pH and ion stress conditions. The activities of representative antioxidative enzymes were altered with different patterns under Na2CO3 stress. The superoxide dismutase (SOD) activity decreased under Na2CO3 stress (Figure 3D), but the peroxidase (POD) activity increased under 38 mM Na2CO3 (Figure 3E), and the catalase (CAT) activity increased obviously under both Na2CO3 concentrations (Figure 3F).

2.3. Ion Content Changes in Leaves under Na2CO3 Stress

Ion homeostasis is important in plant response to salt stress. Leaf Na content increased with increases in Na2CO3 concentration (Figure 4A). Leaf K contents also increased under 95 mM Na2CO3 treatment (Figure 4B). This led to declined K/Na ratios under the Na2CO3 treatment (Figure 4C). Furthermore, Na and K contents on the leaf surface increased gradually with the increases in Na2CO3 concentration, and K/Na ratio was reduced on the leaf surface (Figure 4D,E,F). Moreover, as an important signaling messenger, calcium contents in different subcellular compartments of epidermal cells and mesophyll cells were affected by Na2CO3. In epidermal cells, calcium content in the cell wall and cytoplasm increased gradually with the increases in Na2CO3 concentration, but reduced in the vacuoles under 38 mM Na2CO3 treatment (Figure 4G). Similarly, in mesophyll cells, calcium contents in the cell wall and cytoplasm increased under 95 mM Na2CO3 treatments, while the calcium content in vacuoles reduced sharply in the Na2CO3 treated samples (Figure 4H).

2.4. Identification and Functional Categorization of Na2CO3 Responsive Proteins

The alkali-responsive protein profiles were obtained using 2-DE analysis of leaf samples under 0 mM, 38 mM, and 95 mM Na2CO3 treatments (Figure 5, Supplemental Figure S1). Approximately 1000 Coomassie Brilliant Blue-stained protein spots were detected on the pI 4–7 gels. A total of 43 protein spots were identified using LC ESI Q-TOF MS/MS and Mascot database searching (Figure 5, Table 1). Based on Gene Ontology, BLAST alignments, and information from literature, the protein identities (IDs) were classified into 10 functional categories including photosynthesis, stress and defense, membrane and transport, carbohydrate and energy metabolism, amino acid metabolism, transcription, protein synthesis, protein folding and transporting, protein degradation, and signaling (Table 1). Among these categories, carbohydrate and energy metabolism (41%), transcription and protein metabolism (27%), photosynthesis (14%), as well as stress and defense (9%), were over-represented.

2.5. Protein Clustering and the Dynamics of Protein Networks

One important goal of system biology is to understand the interdependence of proteins and their expression profiles in a certain tissue or other biological samples [6,20]. An effective method to determine the regulatory mechanisms for protein interactions is the application of hierarchical clustering algorithms used in DNA microarray experiments. With this method, the proteins appearing on the same branches are assumed to be involved in related molecular functions [6,20]. Thus, to analyze the expression characteristics of proteins involved in each functional category, we performed hierarchical clustering analysis of the 43 IDs, which revealed two main clusters. Cluster I included 32 alkali-induced IDs and cluster II contained 11 alkali-reduced IDs (Figure 6). The number of alkali-induced proteins was obviously larger than that of reduced proteins. The analysis of protein functional categories showed a heterogeneous distribution between the two clusters (Figure 6). For example, most of the IDs involved in carbohydrate and energy metabolism were grouped in cluster I, whereas photosynthesis-related proteins were mainly in cluster II (Figure 6). This suggests that a switch of biological processes occurred in the course of alkaline treatment. Interestingly, the clustering result supports the previous notion that 38 mM is the turning point concentration of Na2CO3 for P. tenuiflora[12,21,22], because there were 28 out of 43 protein IDs whose protein abundances changed. Among them, 22 proteins (sub-cluster I-1) reached the maximum levels, and six proteins (subcluster II-1) got to the minimum levels under 38 mM Na2CO3 treatment (Figure 6). Such protein patterns correlated well with our aforementioned physiological results, e.g., the photosynthetic capability (e.g., Pn, and qP) and antioxidant-related indexes.

3. Discussion

3.1. Photosynthesis Is Inhibited by Na2CO3

The effects of salinity and alkalinity on plant growth and development vary amongst plants. For glycophytes, salt stress generally reduces plant growth and development, but for most halophytes, moderate salt accumulation promotes the plant growth [23]. However, the less-tolerant dicotyledonous halophytes and monocotyledons halophytes, especially grasses, grow better in non-salinized conditions [23,24]. Our results showed that the growth of P. tenuiflora, a monocot halophyte grass, was not obviously affected by low Na2CO3 concentration, but was inhibited by higher Na2CO3 concentration (Figure 1). This correlates well with the biomass changes of P. tenuiflora under NaCl stress [6]. In this study, Gs, Pn, and Tr of P. tenuiflora seedlings exhibited little changes at 38 mM Na2CO3, but decreased significantly at 95 mM Na2CO3 (Figure 2A,B,C), indicating photosynthesis was reduced at the higher Na2CO3 concentration. Moreover, Fv/Fm and Fv′/Fm′ were stable at 38 mM Na2CO3, but reduced at 95 mM Na2CO3 (Figure 2D,E). This implied that the efficiency of PSII photochemistry was not affected by the low Na2CO3 concentration, but inhibited by the high Na2CO3 concentration. The reduced Fv/Fm of seedlings under 95 mM Na2CO3 implied the occurrence of photoinhibition in P. tenuiflora under the higher concentration of Na2CO3. The decrease of Fv/Fm was usually accompanied by increase of thermal dissipation, which was evaluated by nonphotochemical quenching of Chl fluorescence (qNP) [25]. Here qNP was maintained almost constant at 38 mM Na2CO3, but increased significantly at 95 mM Na2CO3 (Figure 2F), which corresponded with the change of Fv/Fm. This result implied that thermal dissipation remained steady at 38 mM Na2CO3, but increased at 95 mM Na2CO3.
Previous studies have found that salt and alkali stresses affected photosynthetic carbon fixation [1,26]. Our present proteomics data revealed that some of the enzymes in Calvin cycle were reduced by Na2CO3 stress, which implied that the decrease in Pn was due to the less efficient carbon fixation under Na2CO3 stress. These enzymes included carbonic anhydrase (CA), RuBisCO, phosphoribulokinase (PRK), and ferredoxin-thioredoxin reductase (FTR). CA can help increase the concentration of CO2 within the chloroplast in order to increase the carboxylation rate of RuBisCO [27]. The change tendency of CA is similar to those of Gs, Pn, and Tr in P. tenuiflora. These results indicate that the decrease of Pn is mainly resulted from the declined carbon fixation. RuBisCO catalyzes the first major step of carbon fixation in C3 plants, and PRK is the key enzyme that functions in phosphorylating RuP into ribulose-1,5-bisphosphate (RuBP) in the Calvin cycle [28]. FTR is an iron-sulfur enzyme, which links light to enzyme regulation in oxygenic photosynthesis, catalyzing the activation of fructose 1,6-bisphosphatase [29]. The decline of these enzymes in the Calvin cycle under Na2CO3 treatment could lead to the decrease of carbon fixation.

3.2. Antioxidant Mechanisms in Leaves to Cope with Na2CO3

Salt and alkali stresses enhance the production of ROS, resulting in various ROS-associated perturbations in the seedlings [2]. Chloroplasts are key intracellular ROS generators. In chloroplasts, the production of O2− is mainly determined by the balance between absorption and utilization of light energy [25]. The energy consumption for CO2 assimilation suppressed by Na2CO3 stress led to ROS imbalance, which would cause oxidative damage to enzymes and thus the photosynthetic apparatus [2,25,30]. In the present study, the significantly increased electrolyte leakage ratio and MDA contents indicate that plasma membrane was damaged by lipid peroxidation under Na2CO3 stress [30].
Our results have revealed several mechanisms of light energy balance and antioxidation used to cope with Na2CO3 stress in P. tenuiflora seedlings. Salt accumulation on the leaf surface would prevent excessive light absorption in Na2CO3 stressed plants. The contents of Na and K on the surface of P. tenuiflora leaves increased gradually with increasing Na2CO3 concentrations (Figure 4A,B,D,E), which suggested that P. tenuiflora possesses the ability to secrete salts under Na2CO3 stress. Other ions such as Ca, Mg, and Si have also been found to increase in concentration on the P. tenuiflora leaf surface with the increasing Na2CO3 concentrations [10]. The accumulation of salts on leaf surfaces developed greater surface reflectance, contributing to reduce light absorption [31]. At the same time, thermal dissipation was enhanced to remove excess energy at high Na2CO3 concentration. The increase of qNP demonstrates that the thermal dissipation was enhanced to protect the photochemical apparatus under Na2CO3 stress (Figure 2F). In addition, the enhancement of the xanthophyll cycle would increase the thylakoid pH, which is helpful for induced thermal dissipation [25]. The increase of temperature-induced lipocalin (TIL) in our proteomics results supported this notion. Lipocalin was found to be a key enzyme in the xanthophyll cycle responsible for protection against photo-oxidative damage [32]. It was also found to be increased in Solanum lycopersicum under salt stress [33].
The ROS scavenging system was activated in seedlings to cope with Na2CO3 stress. The activities of POD (Figure 3E) and CAT (Figure 3F), the two enzymes involved in the removal of H2O2, were increased under Na2CO3 treatments, especially under 38 mM Na2CO3. However, SOD activity was reduced dramatically under Na2CO3 stress (Figure 3D). SOD is an enzyme for dismutation of O2− to produce H2O2. Thus, in P. tenuiflora seedlings under Na2CO3, H2O2 might be mainly produced in peroxisome from oxidation of glycolate during photorespiration rather than from dismutation of O2−[6]. In addition, our proteomics data showed that other antioxidant and detoxification mechanisms were enhanced in seedlings to cope with Na2CO3 stress. Glyoxalase (GLO) was found to be induced in seedlings with increasing concentrations of Na2CO3. GLO is a member of the glyoxalase system that carries out the detoxification of methylglyoxal and other reactive aldehydes produced in plant metabolism. Previous studies have documented that salinity stress induced high accumulation of methylglyoxal, a potent cytotoxin in various plant species [34]. In transgenic tobacco plants, overexpression of glyoxalase I can tolerate an increase in methylglyoxal and maintain high levels of reduced glutathione under salinity stress [35]. Our results implied that GLO might be an important candidate for conferring high alkali tolerance in P. tenuiflora. Furthermore, germin-like protein (GLP) was also induced under Na2CO3 stress. Germin was first detected in germinating wheat seeds, but its homologs have now become ubiquitous in the plant kingdom and have various functions, not only during embryogenesis, but also in biotic or abiotic stress conditions [36]. The increased GLPs were detected in Nicotiana tabacum leaf apoplast [37] and Arabidopsis thaliana roots [38] after exposure to salt stress. Wheat germin has been shown to display oxalate oxidase activity; this activity is shared among most plants [36]. Germin-like oxalate oxidase is involved in degrading the oxalic acid, a highly toxic chemical, through production of H2O2[36]. Thus, the Na2CO3 increased GLP might provide an explanation for the decrease of oxalic acids in shoots and roots of P. tenuiflora[9]. Additionally, an aluminum-induced protein-like protein (AIPLP) was induced under 95 mM Na2CO3 treatment. Previous studies have shown that the AIPLP was not specific to aluminum stress, but also involved in other metal, wounding [39], and drought stresses [40]. This protein might also contribute to the tolerance to Na2CO3 stress in P. tenuiflora when at a high concentration.

3.3. Ion Homeostasis and Transport under Na2CO3 Stress

The intracellular ion homeostasis is fundamental to living cells. Under salinity conditions, high apoplastic levels of Na+ would alter the aqueous and ionic thermodynamic equilibrium, resulting in hyperosmotic stress, ionic imbalance, and toxicity [26]. Thus, proper regulation of ion flux is necessary for cells to keep the concentrations of toxic ions low and to accumulate essential ions. Our results implied that P. tenuiflora developed some protective mechanisms to reestablish cellular ion homeostasis through selective salt accumulation or exclusion, in vivo compartmentalization, and Ca2+ signaling.
Maintaining a high cytosolic K+/Na+ ratio is one of the most important mechanisms for plant salt tolerance [8]. In our study, the Na content in leaves increased remarkably in all alkaline treatments. However, the K content did not increase under 38 mM Na2CO3, but increased slightly under 95 mM Na2CO3 (Figure 4A,B). This led to the decreased intracellular K/Na ratio in P. tenuiflora leaves (Figure 4C), although some Na ions were secreted to the leaf surface (Figure 4D). It is obvious that the ion homeostasis in P. tenuiflora leaves was affected under Na2CO3 stress. In previous studies, P. tenuiflora had lower net Na+ uptake rates than wheat (less than 50% under 150 mM NaCl) [8], which indicates that P. tenuiflora has a greater capacity than wheat to restrict unidirectional Na+ influx to maintain low net Na+ uptake[9]. Besides, the increased contents of K and Na on the leaves surface with the increase of external Na2CO3 concentrations (Figure 4D,E) support the hypothesis that P. tenuiflora leaves could exude salts through stomata or together with wax secretion [10].
Ion compartmentalization in different tissues can facilitate their metabolic functions [2]. The salt-inducible Na+/H+ antiporter is in charge of Na removal from the cytoplasm or compartmentalization in the vacuoles [2]. The vacuolar Na+/H+ antiporters were induced by NaHCO3 in P. tenuiflora, suggesting its key role in pH regulation under alkaline conditions [41]. Vacuolar-type Na+/H+ antiporter was mainly driven by the proton gradient across the vacuolar membrane generated by vacuolar type H+-ATPases (V-ATPases) [2,42]. The V-ATPase is indispensable for plant growth under normal conditions due to its roles in energizing secondary transport, maintaining solute homeostasis, and facilitating vesicle fusion. Under stress conditions (e.g., salinity, drought, cold, acid, anoxia, and heavy metals), the survival of the cells depends strongly on maintaining or adjusting the activities of the V-ATPases [2,42]. In the present study, a subunit of V-ATPase was induced under Na2CO3 stress. The corresponding increase of Na content in vacuoles under Na2CO3 stress was much higher than in cytoplasm of epidermal cells and mesophyll cells [43]. These findings suggest that the Na2CO3-induced V-ATPase was required to energize the tonoplast for ion uptake into the vacuoles.
Importantly, calcium content was changed with diverse cellular structures (e.g., cell wall, cytoplasm, and vacuole) in epidermal cells and mesophyll cells in leaves of P. tenuiflora when exposed to Na2CO3 stress (Figure 4G,H). Calcium is a principal signaling molecule for salinity tolerance [2,3]. High salinity leads to increased cytosolic Ca2+, which initiates the stress signal transduction pathways [3]. In this study, the calcium content in cytoplasm of epidermal cells (Figure 4G) and mesophyll cells (Figure 4H) increased significantly under 95 mM Na2CO3. In contrast, the calcium content in vacuoles of epidermis cells (Figure 4G) and mesophyll cells (Figure 4H) decreased. This indicates that the increased cytosolic Ca2+ might be transported from the apoplast and intracellular compartments [2]. In addition, our proteomics data revealed that a developmentally regulated plasma membrane polypeptide (DREPP PM)-like protein increased under Na2CO3 stress. DREPP-like protein contains a possible Glu-rich site at the C terminus responsible for calcium binding. DREPP-like protein has been found to be increased temporarily in rice under cold acclimation [44] and salt stress [45]. This result suggests that DREPP-like protein may be associated with the Ca2+ signal transduction pathway in the seedlings of P. tenuiflora under Na2CO3 stress.

3.4. Enhancement of Energy Supply and Other Specialized Metabolism

In this study, nine protein IDs were carbohydrate metabolism-related enzymes, and nine were involved in energy production (Table 1). Among them, seven IDs (representing six unique proteins) were enzymes in glycolysis, including fructokinases (FRK), fructose-bisphosphate aldolase (FBA), triosephosphate isomerase (TIM), glyceraldehyde 3-phosphate dehydrogenase (GAPDH), phosphoglycerate kinase (PGK), and enolase. They were all induced under Na2CO3 stress. In fact, glycolysis shared a series of reversible reactions with gluconeogenesis. Interestingly, except for FRK, the remaining five enzymes catalyzing the reversible reactions were shared between glycolysis and gluconeogenesis. FRK, an enzyme that irreversibly catalyzes the transfer of a phosphate group from ATP to fructose in glycolysis, is the most important gateway in the control of sugar influx into glycolysis. Thus, the increase of FRK under Na2CO3 along with the other five enzymes would contribute to glucose breakdown for energy generation to cope with Na2CO3 stress. In addition, malate dehydrogenase (an enzyme in citric acid cycle) and cytosolic 6-phosphogluconate dehydrogenase (an enzyme involved in pentose phosphate pathway) were induced by Na2CO3 stress. Moreover, five homologs of ATP synthases and four proteins containing the AAA ATPase family protein domain were induced with similar patterns to aforementioned carbohydrate metabolism-related enzymes in leaves under Na2CO3 stress. This implies that the enhancement of the metabolism provides ATP for plant adaptation to Na2CO3 stress. Similar results have also been found in salt-stressed Salicornia europaea[20] and P. tenuiflora[6].
Two amino acid metabolism-related proteins, aspartate aminotransferase (AST) and methionine synthase (MS), increased in levels under Na2CO3 treatment (Table 1). AST catalyzes the interconversion of aspartate and α-ketoglutarate to oxaloacetate and glutamate, and plays an important role in nitrogen assimilation and biosynthesis of amino acids [20]. MS is an enzyme that catalyzes the final step in the regeneration of methionine from homocysteine [46]. l-methionine is the substrate for the synthesis of S-adenosyl-l-methionine (AdoMet), which is the major methyl-group donor for numerous transmethylations important in plants secondary metabolism. Lignin biosynthesis has been suggested to represent a major sink for AdoMet consumption in vascular plants. Thus, the increase of MS in Na2CO3-stressed P. tenuiflora could reflect an enhanced demand of AdoMet in the synthesis of lignin. In addition, AST and MS have been thought to be relevant to cell wall lignification [20], and a previous study has reported the increased deposition of lignin in the vascular tissues of plants under salinity stress [46]. Therefore, the increase of these two proteins might imply that Na2CO3 treatment can increase the vessel development in P. tenuiflora. The enhanced cell wall lignification increased the mechanical rigidity of cell wall, strengthening the vascular tissue and subsequently permitting water to be conducted through the xylem under negative pressure without collapse of the vessels. This structural alteration may enhance the cell-to-cell pathway for water transport, impart greater selectivity and reduced ion uptake, and compensate for diminished bulk flow of water and solutes along the apoplastic pathway [6,20,46].
Additionally, a number of proteins involved in transcription, protein synthesis, protein folding and transport, as well as protein degradation showed Na2CO3 response (Table 1). Among them, two Na2CO3-induced proteins were involved in protein folding. One was protein disulfide-isomerase (PDI), a member of a thioredoxin superfamily inserting disulfide bonds into folding proteins. PDI is specialized to accommodate the structural features of the membrane and secreted proteins. The other was a putative SecA, the mobile subunit of an integral membrane transporter in Escherichia coli, consuming ATP during the insertion and deinsertion phases of its catalytic cycle while guiding preprotein segments across the membrane [47]. While the exact function of SecA in plants exposed to akalinity stress is not known, its function is likely to affect membrane protein dynamics in P. tenuiflora under alkaline stress.

4. Experimental Section

4.1. Plant Cultivation and Treatment

Seeds of Puccinellia tenuiflora (Turcz.) scribn. et Merr. were sowed on pearlite and cultured in a controlled environment chamber under white fluorescent light (300 μM m−2 s−1; 13 h light/11 h dark) at 25 °C and about 75% relative humidity for 50 days, as previously described [6,12]. The plants were divided into three groups. In order to correlate with a number of our previous studies that used 0, 0.4%, 1.0% Na2CO3 treatments, these plants were treated with 0 mM, 38 mM and 95 mM Na2CO3, respectively. Three biological replicates were grown and treated with different concentrations. To maintain stable Na concentrations in Hoagland medium, we changed the culture medium daily and monitored the solution ion content and the osmotic potential using a SevenMulti Neutral meter (Mettler Toledo, London, UK) and a vapor pressure osmometer (5520, Wescor Inc., Logan, UT, USA), respectively. Seven days later, the treated and untreated leaves were harvested and used fresh or immediately frozen in liquid nitrogen and stored at −80 °C for physiological and proteomic analysis. Shoot length and fresh weight were measured right after harvesting. Dry weight was determined after dehydration at 60 °C until a constant weight was maintained. Leaf water content was estimated as the difference between the fresh weight and dry weight divided by the fresh weight [6].

4.2. Photosynthesis and Chlorophyll Fluorescence Analysis

Net photosynthetic rate (Pn), stomatal conductance (Gs), and transpiration rate (Tr) were determined at 10:00 am using a portable photosynthesis system LI-COR 6400 (LI-COR Inc., Lincoln, NE, USA). The induction kinetics of chlorophyll fluorescence was recorded at room temperature using a pulse modulation chlorophyll fluorometer (FMS-2, Hansatech, King’s Lynn, UK). After dark adaptation for 30 min, the initial fluorescence yield (Fo) in weak modulated light (0.12 μmol photons m−1 s−1, 600 Hz), and maximum fluorescence yield (Fm) emitted during a saturating light pulse (5000 μmol photons m−2 s−1, 0.7 s) were measured. Variable fluorescence (Fv) was calculated by the formula: Fv = Fm−Fo. Then Fm′ was measured using an irradiance of 400 μmol photons m−2 s−1 as the actinic light and 5000 μmol photons m−2 s−1 as the saturating flashes. Fo′ was measured using an irradiance of far-red light (1.67 μmol photons m−2 s−1, 3 s). The variable fluorescence (Fv′) was also calculated by Fv′ = Fm′−Fo′. Maximal photochemical efficiency of PSII (Fv/Fm), photochemical efficiency of PSII in the light (Fv′/Fm′), non-photochemical quenching coefficient (qNP; 1−(Fm′−Fo′)/(Fm−Fo)), could be acquired directly from the instrument [12].

4.3. Analysis of Osmotic Potential, Electrolyte Leakage, MDA Content, and Antioxidant Enzymes

Osmotic potential was determined by a vapor pressure osmometer (5520, Wescor Inc., Logan, UT, USA). The MDA content was determined using the thiobarbituric acid (TBA) reaction as described by Wang et al.[48]. The electrolyte leakage ratio was obtained according to Akram et al.[49]. The three antioxidant enzymes (SOD, POD, and CAT) were extracted and detected according to the method of Yu et al.[6].

4.4. Determination of Ion Content

For measuring the relative contents of K and Na on the leaf surface, fresh leaves (1 × 2 cm) were cemented to a sample plate, then observed and analyzed with XL-30 surrounding scanning electron microscope (The Netherlands Phillips Company, Eindhoven, Netherlands) and Kevex energy peatrometer (Thermo Company, Schaumburg, IL, USA). The working voltage was 20 kV, and the time difference for the measurement of samples was 60 s. The relative contents of elements were represented as CPS (counts per second), which were computed by subtracting the background value from peak values of varied elements.
The sample preparation and microscopic analysis for Ca determination was done according to Qi et al.[50]. The relative Ca contents in diverse cellular structures (including cell wall, cytoplasm, vacuole) were detected by transmission electron microscope (TEM)-X ray microanalysis of 1 μM sections after freeze-drying and water-free embedding in plastic. The leaves (2 mm × 2 mm) were placed in aluminum mesh boxes, and then frozen quickly in the pre-cooling isopentane and propane mixture (the volume ratio is 1:3). Once frozen, the material was placed in a freeze-dryer for removing all of the water. Dry materials were then loaded into the T-type vacuum permeable tube, and infiltrated with diethyl ether in vacuum at 27 °C for 24 h. After being infiltrated with phenylethylene-butyl methacrylate under normal temperature, the materials were transferred into capsules for polymerization. The embedding materials were cut into 1 μm thickness sections on an ultramicrotome (Reichert Ultracut E, Vienna, Austria). For X-ray microanalysis, dry sections were transferred to folding copper grids, coated with carbon and stored over silica gel. Sections were analyzed in a Hitachi 800 transmission electron microscope (fitted with an energy-dispersive X-ray analyzer EDAX 9100). The accelerating voltage was 150 kV, the angle between sample and probe was 33°, and the counting time was 60 s. The relative Ca contents in diverse cellular structures (including cell wall, cytoplasm, vacuole) were also represented by CPS.
For measuring the concentrations of K+ and Na+ in the seedling leaves, 0.5 g fresh leaves of each treatment were cut to 2 cm, and put into a small beaker, then immersed in 30 mL deionized water and shaken for 30 min. The leaves were taken out and put into another small beaker with about 30 mL deionized water, then cooked for 15 min in the autoclave with high temperature (121 °C) in order to kill the cells and release all the ions. Finally, after the temperature of the solution was cooled to room temperature, the leaves were filtered from the solution, and the extracted solution was added to the volume of 50 mL. We used the SevenMulti tester to determine the concentrations of Na+ and K+.

4.5. Protein Sample Preparation, 2DE, and Image Analysis

The proteins from leaves under different treatment conditions were extracted according to the method of Wang et al.[48]. Protein samples were prepared independently from three different batches of plants. Protein concentration was determined using a Quant-kit according to manufacture’s instructions (GE Healthcare, Piscataway, NJ, USA). The protein samples were separated and visualized using 2DE approaches according to Yu et al.[6]. Protein samples were separated on 24 cm IPG strips (pH 4–7 linear gradient) through isoelectric focusing (IEF) in the first dimension, followed by 12.5% SDS-PAGE gels in the second dimension. About 1.6 mg protein was loaded per gel. Gels were stained by Coomassie Brilliant Blue (CBB). Three biological replicates for each sample and three technical replicates for each biological replicate were run on 2D gels. Gel image acquisition and analysis were conducted as previously described [48]. For image acquisition, the gels were scanned using an ImageScanner III (GE Healthcare) at a resolution of 300 dpi and 16-bit grayscale pixel depth. The images were analyzed with ImageMaster 2D software (version 5.0) (GE Healthcare, Piscataway, NJ, USA).The average vol% values were calculated from three technical replicates to represent the final vol% values of each biological replicate. Spots with more than 1.5-fold change among the treatments and a p value smaller than 0.05 were considered to be differentially expressed.

4.6. Protein Identification and Database Searching

The differentially expressed spots were excised from the gels and digested with trypsin [51]. MS/MS spectra were acquired on a LC ESI Q-TOF MS/MS (AB Sciex, Framingham, MA, USA) according to the method of Yu et al.[6]. The MS/MS spectra were searched against the NCBInr protein databases [52] using Mascot software (Matrix Sciences, London, UK). The taxonomic category was green plants. The searching criteria were according to Yu et al.[6].

4.7. Protein Classification and Hierarchical Cluster Analysis

The identified proteins were searched against the NCBI database [52] and UniProt database [53] to determine if their functions were known. Combined with the result of BLAST alignments, these proteins were classified into different categories based on biochemical functions. Self-organizing tree algorithm hierarchical clustering of the expression profiles was performed on the log transformed fold change values of protein spots [20,54].

4.8. Statistical Analysis

All results were presented as means ± standard error (SE) of at least three replicates. Data were analyzed by one-way ANOVA using the statistical software SPSS 17.0 (SPSS Inc., Chicago, IL, USA). The treatment mean values were compared by post hoc least significant difference (LSD) test. A p value less than 0.05 was considered statistically significant.

5. Conclusion

Current proteomics allows detailed inspection of individual proteins on a large scale and their dynamic changes underlying different alkaline-responsive cellular processes. In the present study, we discovered several Na2CO3-induced enzymes, such as xanthophyll cycle-related TIL, ROS scavenging enzymes (e.g., GLO and GLP), enzymes involved in carbohydrate metabolism, and amino acid metabolism-related proteins (e.g., AST and MS). A number of proteins involved in carbon assimilation, transcription, as well as proteins synthesis and fate were found to be reduced under Na2CO3 treatment. In addition, several proteins were proposed to be involved in cross-tolerance (e.g., AIPLP and DREPP-like protein). More than half of the Na2CO3-responsive proteins reached the maximum or minimum abundances under 38 mM Na2CO3 treatment. This correlates to the performance of plant growth and physiological indexes (e.g., photosynthetic capability and antioxidant enzyme activities), which supports the previous notion that 38 mM Na2CO3 is the turning point concentration for P. tenuiflora. Based on the integration of proteomics and physiological results, our study revealed several Na2CO3-responsive mechanisms in P. tenuiflora, including declined photosynthesis (e.g., light absorption and carbon assimilation) and activation of multiple antioxidant mechanisms (e.g., salt ion exclusion and compartmentalization; POD pathway, CAT pathway, and glyoxalase system), as well as enhanced energy supply and other specialized metabolisms. All these findings provide useful molecular information toward improving alkali tolerance of cereals.

Acknowledgments

The project was supported by grants from National Natural Science Foundation of China (No. 31071194, 31270310), Fundamental Research Funds for the Central Universities (No. DL11EA01), China, and Funds for Distinguished Young Scientists of Heilongjiang Province, China (No. JC201011) to S.D.

Abbreviation

6PGDH
6-phosphogluconate dehydrogenase
AAIR
acetohydroxy acid isomeroreductase
AIPLP
aluminum-induced protein-like protein
ALD
aldolase
AST
aspartate aminotransferase
ATP ase CF1
ATP synthase CF1 alpha subunit
ATPase 1
ATP synthase alpha subunit
CA
carbonic anhydrase
CAT
catalase
CPS
counts per second
DREPP
developmentally regulated plasma membrane polypeptide
FBA
fructose-bisphosphate aldolase
FRKs
fructokinases
FTR
ferredoxin-thioredoxin reductase
Fv/Fm
maximum quantum efficiency of PSII photochemistry
Fv′/Fm′
PSII maximum efficiency
GAPDH
glyceraldehyde-3-phosphate dehydrogenase
GLO
glyoxalase
GLP
germin-like protein 1
Gs
Stomatal conductance
IDs
identities
IF4A
eukaryotic initiation factor 4A
M30
membrane-associated 30 kDa protein
MDA
malondialdehyde
MDH
malate dehydrogenase
MS
methionine synthase
PDI
protein disulfide-isomerase
PGK
phosphoglycerate kinase
Pn
photosynthetic rate
POD
peroxidase
PPIase
peptidyl-prolyl cis-trans isomerase
PRK
phosphoribulokinase
Proteasome α3
proteasome alpha type 3
PSII
photosystem II
qNP
non-photochemical quenching coefficient
ROS
reactive oxygen species
RP
Ribosomal protein S1-like RNA-binding domain
RRM
RNA recognition motif
Rubisco LSU
Rubisco large subunit
Rubisco SSU
Rubisco small subunit
SOD
superoxide dismutase
TIL
temperature stress-induced lipocalin
TIM
triosephosphate isomerase
Tr
transpiration rate
V-ATPase
vacuolar-type H; +-ATPase

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Figure 1. Biomass of P. tenuiflora seedlings grown under Na2CO3 conditions. (A) shoot length of seedlings; (B) fresh weight of leaves; (C) dry weight of leaves; (D) water content in leaves. The values were determined after plants were treated with 0 mM, 38 mM, and 95 mM Na2CO3 for seven days, and were presented as means ± SE (n = 9). The different small letters indicate significant differences (p < 0.05).
Figure 1. Biomass of P. tenuiflora seedlings grown under Na2CO3 conditions. (A) shoot length of seedlings; (B) fresh weight of leaves; (C) dry weight of leaves; (D) water content in leaves. The values were determined after plants were treated with 0 mM, 38 mM, and 95 mM Na2CO3 for seven days, and were presented as means ± SE (n = 9). The different small letters indicate significant differences (p < 0.05).
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Figure 2. Photosynthetic characteristics (A, B, C) and chlorophyll fluorescence parameters (D, E, F) of P. tenuiflora leaves under Na2CO3 treatment. (A) stomata conductance (Gs); (B) photosynthesis rate (Pn); (C) transpiration rate (Tr); (D) Fv/Fm; (E) Fv′/Fm′; (F) qNP. The values were determined after plants were treated with 0 mM, 38 mM, and 95 mM Na2CO3 for seven days, and were presented as means ± SE (n = 9). The different small letters indicate significant differences (p < 0.05).
Figure 2. Photosynthetic characteristics (A, B, C) and chlorophyll fluorescence parameters (D, E, F) of P. tenuiflora leaves under Na2CO3 treatment. (A) stomata conductance (Gs); (B) photosynthesis rate (Pn); (C) transpiration rate (Tr); (D) Fv/Fm; (E) Fv′/Fm′; (F) qNP. The values were determined after plants were treated with 0 mM, 38 mM, and 95 mM Na2CO3 for seven days, and were presented as means ± SE (n = 9). The different small letters indicate significant differences (p < 0.05).
Ijms 14 01740f2
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Figure 3. Changes of some antioxidant-related indexes in leaves of P. tenuiflora under Na2CO3 treatment. (A) osmotic potential; (B) electrolyte leakage ratio; (C) MDA contents; (D) SOD activity; (E) POD activity; (F) CAT activity. The values were determined after plants were treated with 0 mM, 38 mM, and 95 mM Na2CO3 for seven days, and were presented as means ± SE (n = 6). The small letters indicate significant difference (p < 0.05).
Figure 3. Changes of some antioxidant-related indexes in leaves of P. tenuiflora under Na2CO3 treatment. (A) osmotic potential; (B) electrolyte leakage ratio; (C) MDA contents; (D) SOD activity; (E) POD activity; (F) CAT activity. The values were determined after plants were treated with 0 mM, 38 mM, and 95 mM Na2CO3 for seven days, and were presented as means ± SE (n = 6). The small letters indicate significant difference (p < 0.05).
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Figure 4. Changes in ionic contents in leaves of P. tenuiflora under Na2CO3 stress. (A) Na content in leaves; (B) K content in leaves; (C) K/Na ratio in leaves; (D) Na content outside leaves; (E) K content outside leaves; (F) K/Na ratio outside leaves; (G) Ca content in epidermal cells; (H) Ca content in mesophyll cells. The values were determined after plants were treated with 0 mM, 38 mM, and 95 mM Na2CO3 for seven days, and were presented as means ± SE (n = 6). The different letters indicate significant differences (p < 0.05). CPS, counts per second.
Figure 4. Changes in ionic contents in leaves of P. tenuiflora under Na2CO3 stress. (A) Na content in leaves; (B) K content in leaves; (C) K/Na ratio in leaves; (D) Na content outside leaves; (E) K content outside leaves; (F) K/Na ratio outside leaves; (G) Ca content in epidermal cells; (H) Ca content in mesophyll cells. The values were determined after plants were treated with 0 mM, 38 mM, and 95 mM Na2CO3 for seven days, and were presented as means ± SE (n = 6). The different letters indicate significant differences (p < 0.05). CPS, counts per second.
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Figure 5. 2-DE profiling of proteins extracted from P. tenuiflora leaves treated with different concentrations of Na2CO3. Gels A, B, and C are protein samples from leaves treated with 0, 38, and 95 mM Na2CO3 for seven days, respectively. Molecular weight (MW) in kilodaltons (kDa) and pI of proteins are indicated on the right and top of gel A and B, respectively. The 43 gel spots with protein IDs were marked with spot numbers. Detailed information can be found in Table 1.
Figure 5. 2-DE profiling of proteins extracted from P. tenuiflora leaves treated with different concentrations of Na2CO3. Gels A, B, and C are protein samples from leaves treated with 0, 38, and 95 mM Na2CO3 for seven days, respectively. Molecular weight (MW) in kilodaltons (kDa) and pI of proteins are indicated on the right and top of gel A and B, respectively. The 43 gel spots with protein IDs were marked with spot numbers. Detailed information can be found in Table 1.
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Figure 6. Hierarchical clustering analysis of the expression profiles of the identified 43 proteins. The three columns represent different treatments, i.e., 0 mM, 38 mM, and 95 mM. The rows represent individual proteins. The protein cluster is on the left, and the treatment cluster is on the top. The increased and decreased protein spots were indicated in red and green, respectively. The intensities of the colors increase with the increase of expression differences, as shown in the bar on the top. The protein spot numbers are listed on the right, and the letters before the spot numbers represent various functional categories of the proteins. A, photosynthesis; B, stress and defense; C, membrane and transport; D, carbohydrate and energy metabolism; E, amino acid metabolism; F, transcription related; G, protein synthesis; H, protein folding and transporting; I, protein degradation; J, signaling.
Figure 6. Hierarchical clustering analysis of the expression profiles of the identified 43 proteins. The three columns represent different treatments, i.e., 0 mM, 38 mM, and 95 mM. The rows represent individual proteins. The protein cluster is on the left, and the treatment cluster is on the top. The increased and decreased protein spots were indicated in red and green, respectively. The intensities of the colors increase with the increase of expression differences, as shown in the bar on the top. The protein spot numbers are listed on the right, and the letters before the spot numbers represent various functional categories of the proteins. A, photosynthesis; B, stress and defense; C, membrane and transport; D, carbohydrate and energy metabolism; E, amino acid metabolism; F, transcription related; G, protein synthesis; H, protein folding and transporting; I, protein degradation; J, signaling.
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Table
Table 1. Proteins and their relative changes in leaves from P.tenuiflora under Na2CO3 treatment.
Table 1. Proteins and their relative changes in leaves from P.tenuiflora under Na2CO3 treatment.
Spot No. aProtein name bPlant species cgi Number dThr. MW (Da)/pI eExp. MW (Da)/pI fSco gCov (%) hQM iV% ± SE j
0, 38, 95 mM Na2CO3
Photosynthesis (6)
182carbonic anhydrase, chloroplast precursor (CA)Hordeum vulgare72900335,736/8.9330,029/6.4712562Ijms 14 01740f7
459Rubisco large subunit (Rubisco LSU)Tristachya leucothrix12599168551,294/6.2364,412/5.7186198Ijms 14 01740f8
240Rubisco large subunit (Rubisco LSU)Orobanche coerulescens4641075047,410/6.4562,047/6.68176104Ijms 14 01740f9
68Rubisco small subunit (Rubisco SSU)Avena sterilis subsp. ludoviciana379010419,030/8.294088/5.987892Ijms 14 01740f10
368phosphoribulokinase (PRK), chloroplast precursorOryza sativa12557844,48653,645/5.08210146Ijms 14 01740f11
318ferredoxin-thioredoxin reductase, variable chain (FTR)Zea mays249839710,937/5.699350/5.6349142Ijms 14 01740f12
Stress and defense (4)
224temperature stress-induced lipocalin (TIL)Triticum aestivum1865066821,809/5.5019,791/5.4211471Ijms 14 01740f13
185glyoxalase I (GLO)O. sativa (japonica cultivar-group)1658074732,861/5.5144,631/5.27202156Ijms 14 01740f14
170germin-like protein 1 (GLP)O. sativa423982122,017/6.0122,973/6.4084101Ijms 14 01740f15
574aluminum-induced protein-like protein (AIPLP)Setaria italica12426378127,004/6.0539,899/5.2111492Ijms 14 01740f16
Membrane and transport (3)
133Os01g0233000, containing pfam05558 DREPP plasma membrane polypeptide domain (DREPP)O.sativa (japonica cultivar-group)11543550021,788/4.9240,022/4.038972Ijms 14 01740f17
125Vacuolar-type H+-ATPase (V-ATPase)H. vulgare249313253,806/5.1242,714/6.717032Ijms 14 01740f18
370membrane-associated 30 kDa protein, chloroplast precursor (M30)Pisum sativum72984235,709/9.3039,410/6.128062Ijms 14 01740f19
Carbohydrate and energy metabolism (18)
464Os08g0113100, containing cd01167 fructokinases (FRKs) domainO. sativa (japonica cultivar-group)11547448135,893/5.0249,892/5.0412751Ijms 14 01740f20
233putative fructose-bisphosphate aldolase (FBA)Phleum pratense541999025,028/7.7954,664/6.85132172Ijms 14 01740f21
373cytoplasmic aldolase (ALD)O. sativa21815739,151/6.5655,317/6.53226107Ijms 14 01740f22
179triosephosphate isomerase, cytosolic (TIM)Secale cereale117474927,138/5.2435,657/5.4379133Ijms 14 01740f23
384Os03g0129300, containing pfam00044 Gp_dh_N (GAPDH) domainO. sativa (japonica cultivar-group)11545049347,537/6.2253,685/5.98239128Ijms 14 01740f24
380phosphoglycerate kinase (PGK)Vitis vinifera14784375442,510/6.2962,210/5.3313793Ijms 14 01740f25
138enolase2Z. mays16246073548,418/5.7066,697/5.4143103Ijms 14 01740f26
184malate dehydrogenase, mitochondrial precursor (MDH)Citrullus lanatus var. lanatus12689636,406/9.6850,177/6.547832Ijms 14 01740f27
408putative cytosolic 6-phosphogluconate dehydrogenase (6PGDH)Z. mays334280253,204/6.2463,107/5.656442Ijms 14 01740f28
79ATP synthase alpha (ATPase 1)T. aestivum8117650955,557/5.7064,698/5.84361124Ijms 14 01740f29
123ATP synthase alpha subunit (ATPase 1)T. aestivum8117650955,557/5.7064,820/5.682073919Ijms 14 01740f30
290ATP synthase alpha subunit (ATPase 1)Elymus sibiricus5155690855,549/6.0366,615/6.2677208Ijms 14 01740f31
284ATP synthase CF1 alpha subunit (ATP ase CF1)Agrostis stolonifera11843029955,491/6.1166,044/5.888249Ijms 14 01740f32
105mitochondrial ATP synthase precursor (ATPase 1)T. aestivum4760743927,090/7.7136,228/5.636262Ijms 14 01740f33
200Os12g0230100, containing two AAA ATPase family protein domainO. sativa (japonica cultivar-group)115487910102,068/6.6278,280/5.74871613Ijms 14 01740f34
202hypothetical protein OsI_036614, containing two AAA ATPase family protein domainO. sativa (indica cultivar-group)125536167156,826/7.3777,750/5.5273410Ijms 14 01740f35
186unnamed protein product, containing cd00009 the AAA, ATPases domainVitis vinifera15734387150,950/5.878,076/5.681463716Ijms 14 01740f36
247hypothetical protein OsI_023646, containing AAA, ATPases domainO. sativa (indica cultivar-group)12555680864,173/5.6572,936/5.27742212Ijms 14 01740f37
Amino acid metabolism (2)
349aspartate aminotransferase (AST)O. sativa2946808446,016/5.9058,376/5.86375167Ijms 14 01740f38
145methionine synthase (MS)H. vulgare subsp. vulgare5089703884,794/5.6876,241/5.7711243Ijms 14 01740f39
Transcription related (1)
121cp31BHv, containing cd00590 RNA recognition motif (RRM) domainH. vulgare subsp. vulgare355048330,662/4.7637,167/4.2711582Ijms 14 01740f40
Protein synthesis (2)
333eukaryotic initiation factor 4A (IF4A)O. sativa (japonica cultivar-group)30384447,187/5.2964,045/5.24166123Ijms 14 01740f41
415Os07g0168000, containing cd00164 Ribosomal protein S1-like RNA-binding domain(RP)O. sativa (japonica cultivar-group)11547076798,023/5.6479,993/5.158432Ijms 14 01740f42
Protein folding and transporting (3)
255peptidyl-prolyl cis-trans isomerase, chloroplast precursor (PPIase)Glycine max989990118,841/8.4917,018/6.69146192Ijms 14 01740f43
263protein disulfide-isomerase precursor (PDI)Nicotiana tabacum184821240,082/5.9953,400/6.099263Ijms 14 01740f44
731putative SecAO. sativa (japonica cultivar-group)52075758114,899/5.7880,931/5.62881110Ijms 14 01740f45
Protein degradation (3)
455Os01g0811100, containing cd03751 proteasome alpha type 3 (Proteasome α3) domainO. sativa (japonica cultivar-group)11544061727,506/5.7537,044/5.9710762Ijms 14 01740f46
431unknown, containing cd03751 proteasome alpha type 3 (Proteasome α3) domainH. vulgare11767015427,448/5.8218,201/5.05167154Ijms 14 01740f47
197Os05g0573700, containing pfam07991 acetohydroxy acid isomeroreductase, catalytic domain (AAIR)O. sativa (japonica cultivar-group)11546556962,680/6.0168,899/5.81254116Ijms 14 01740f48
Signaling (1)
334plant adhesion molecule PAM1Arabidopsis thaliana2253127934,306/8.8012,776/5.2774176Ijms 14 01740f49
aAssigned spot number as indicated in Figure 5;
bThe name and functional categories of the proteins identified using LC ESI Q-TOF MS/MS;
cThe plant species that the peptides matched to;
dDatabase accession numbers from NCBInr;
e, fTheoretical (e) and experimental (f) mass (kDa) and pI of identified proteins. Experimental values were calculated using Image Master 2D Platinum Software. Theoretical values were retrieved from the protein database;
gThe amino acid sequence coverage for the identified proteins;
hThe Mascot score obtained after searching against the NCBInr database;
iThe number of unique peptides identified for each protein;
jThe mean values of protein spot volumes relative to total volume of all the spots. Three Na2CO3 treatments (0 mM, 38 mM, 95 mM) were performed. Error bars indicate ± standard error (SE).

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MDPI and ACS Style

Yu, J.; Chen, S.; Wang, T.; Sun, G.; Dai, S. Comparative Proteomic Analysis of Puccinellia tenuiflora Leaves under Na2CO3 Stress. Int. J. Mol. Sci. 2013, 14, 1740-1762. https://doi.org/10.3390/ijms14011740

AMA Style

Yu J, Chen S, Wang T, Sun G, Dai S. Comparative Proteomic Analysis of Puccinellia tenuiflora Leaves under Na2CO3 Stress. International Journal of Molecular Sciences. 2013; 14(1):1740-1762. https://doi.org/10.3390/ijms14011740

Chicago/Turabian Style

Yu, Juanjuan, Sixue Chen, Tai Wang, Guorong Sun, and Shaojun Dai. 2013. "Comparative Proteomic Analysis of Puccinellia tenuiflora Leaves under Na2CO3 Stress" International Journal of Molecular Sciences 14, no. 1: 1740-1762. https://doi.org/10.3390/ijms14011740

APA Style

Yu, J., Chen, S., Wang, T., Sun, G., & Dai, S. (2013). Comparative Proteomic Analysis of Puccinellia tenuiflora Leaves under Na2CO3 Stress. International Journal of Molecular Sciences, 14(1), 1740-1762. https://doi.org/10.3390/ijms14011740

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