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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">ijms</journal-id>
<journal-title>International Journal of Molecular Sciences</journal-title>
<abbrev-journal-title>Int. J. Mol. Sci.</abbrev-journal-title>
<issn pub-type="epub">1422-0067</issn>
<publisher>
<publisher-name>Molecular Diversity Preservation International (MDPI)</publisher-name></publisher></journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3390/ijms14011740</article-id>
<article-id pub-id-type="publisher-id">ijms-14-01740</article-id>
<article-categories>
<subj-group>
<subject>Articles</subject></subj-group></article-categories>
<title-group>
<article-title>Comparative Proteomic Analysis of <italic>Puccinellia tenuiflora</italic> Leaves under Na<sub>2</sub>CO<sub>3</sub> Stress</article-title></title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Yu</surname><given-names>Juanjuan</given-names></name><xref ref-type="aff" rid="af1-ijms-14-01740">1</xref><xref ref-type="aff" rid="af2-ijms-14-01740">2</xref></contrib>
<contrib contrib-type="author">
<name><surname>Chen</surname><given-names>Sixue</given-names></name><xref ref-type="aff" rid="af3-ijms-14-01740">3</xref></contrib>
<contrib contrib-type="author">
<name><surname>Wang</surname><given-names>Tai</given-names></name><xref ref-type="aff" rid="af4-ijms-14-01740">4</xref></contrib>
<contrib contrib-type="author">
<name><surname>Sun</surname><given-names>Guorong</given-names></name><xref ref-type="aff" rid="af5-ijms-14-01740">5</xref></contrib>
<contrib contrib-type="author">
<name><surname>Dai</surname><given-names>Shaojun</given-names></name><xref ref-type="aff" rid="af1-ijms-14-01740">1</xref><xref ref-type="corresp" rid="c1-ijms-14-01740">*</xref></contrib></contrib-group>
<aff id="af1-ijms-14-01740">
<label>1</label>College of Life and Environmental Sciences, Shanghai Normal University, Shanghai 200234, China; E-Mail: <email>yujuan8186@gmail.com</email></aff>
<aff id="af2-ijms-14-01740">
<label>2</label>Sanquan Medical College, Xinxiang Medical University, Xinxiang 453003, He’nan, China</aff>
<aff id="af3-ijms-14-01740">
<label>3</label>Department of Biology, Genetics Institute, Plant Molecular and Cellular Biology Program, Gainesville, FL 32610, USA; E-Mail: <email>schen@ufl.edu</email></aff>
<aff id="af4-ijms-14-01740">
<label>4</label>Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China; E-Mail: <email>twang@ibcas.ac.cn</email></aff>
<aff id="af5-ijms-14-01740">
<label>5</label>Binzhou Polytechnic College, Binzhou 256603, Shandong, China; E-Mail: <email>grsun@live.cn</email></aff>
<author-notes>
<corresp id="c1-ijms-14-01740">
<label>*</label>Author to whom correspondence should be addressed; E-Mail: <email>daishaojun@hotmail.com</email>; Tel./Fax: +86-451-8219-2237.</corresp></author-notes>
<pub-date pub-type="collection">
<year>2013</year></pub-date>
<pub-date pub-type="epub">
<day>15</day>
<month>01</month>
<year>2013</year></pub-date>
<volume>14</volume>
<issue>1</issue>
<fpage>1740</fpage>
<lpage>1762</lpage>
<history>
<date date-type="received">
<day>17</day>
<month>10</month>
<year>2012</year></date>
<date date-type="rev-recd">
<day>31</day>
<month>12</month>
<year>2012</year></date>
<date date-type="accepted">
<day>06</day>
<month>01</month>
<year>2013</year></date></history>
<permissions>
<copyright-statement>© 2013 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland.</copyright-statement>
<copyright-year>2013</copyright-year>
<license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/3.0">
<p>This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).</p></license></permissions>
<abstract>
<p>Soil salt-alkalinization is a widespread environmental stress that limits crop growth and agricultural productivity. The influence of soil alkalization caused by Na<sub>2</sub>CO<sub>3</sub> 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, Na<sub>2</sub>CO<sub>3</sub> responsive characteristics in leaves from 50-day-old seedlings of halophyte <italic>Puccinellia tenuiflora</italic> were investigated using physiological and proteomic approaches. Comparative proteomics revealed 43 differentially expressed proteins in <italic>P. tenuiflora</italic> leaves in response to Na<sub>2</sub>CO<sub>3</sub> 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 Na<sub>2</sub>CO<sub>3</sub> responsive mechanisms have been discovered in <italic>P. tenuiflora</italic>. This study provides new molecular information toward improving the alkali tolerance of cereals.</p></abstract>
<kwd-group>
<kwd>proteomics</kwd>
<kwd>halophyte</kwd>
<kwd><italic>Puccinellia tenuiflora</italic></kwd>
<kwd>Na<sub>2</sub>CO<sub>3</sub> response</kwd></kwd-group></article-meta></front>
<body>
<sec sec-type="intro">
<title>1. Introduction</title>
<p>Salt-alkali soil is one of the major abiotic constraints limiting crop distribution and yield worldwide [<xref ref-type="bibr" rid="b1-ijms-14-01740">1</xref>–<xref ref-type="bibr" rid="b3-ijms-14-01740">3</xref>]. 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 [<xref ref-type="bibr" rid="b4-ijms-14-01740">4</xref>]. The high soil pH (mainly attributed to carbonate salts, e.g., Na<sub>2</sub>CO<sub>3</sub> and NaHCO<sub>3</sub>) could directly affect nutrient uptake, organic acid balance, and ion homeostasis, especially the pH stability at cellular and whole plant levels [<xref ref-type="bibr" rid="b4-ijms-14-01740">4</xref>,<xref ref-type="bibr" rid="b5-ijms-14-01740">5</xref>]. Meanwhile, some halophyte species can naturally survive in high alkaline soil, and have evolved various regulatory and metabolic mechanisms for alkali tolerance.</p>
<p>Alkali grass (<italic>Puccinellia tenuiflora</italic>) 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 <italic>P. tenuiflora</italic> have been studied before [<xref ref-type="bibr" rid="b6-ijms-14-01740">6</xref>], few studies were focused on the specific molecular mechanisms underlying alkali tolerance. To cope with saline or alkaline stress, <italic>P. tenuiflora</italic> has developed various strategies, such as ion balance [<xref ref-type="bibr" rid="b7-ijms-14-01740">7</xref>–<xref ref-type="bibr" rid="b9-ijms-14-01740">9</xref>], osmotic adjustment [<xref ref-type="bibr" rid="b9-ijms-14-01740">9</xref>–<xref ref-type="bibr" rid="b11-ijms-14-01740">11</xref>], and reactive oxygen species (ROS) scavenging [<xref ref-type="bibr" rid="b12-ijms-14-01740">12</xref>]. Previous studies have revealed that <italic>P. tenuiflora</italic> 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 [<xref ref-type="bibr" rid="b9-ijms-14-01740">9</xref>,<xref ref-type="bibr" rid="b11-ijms-14-01740">11</xref>]. The accumulation of citric acid in <italic>P. tenuiflora</italic> may play an important role in pH adjustments used to cope with alkaline stress [<xref ref-type="bibr" rid="b9-ijms-14-01740">9</xref>,<xref ref-type="bibr" rid="b11-ijms-14-01740">11</xref>]. Besides, several ion salt-responsive genes encoding antiporters/channel proteins in <italic>P. tenuiflora</italic> have been isolated and transformed into yeast, rice and Arabidopsis to test their biological functions. These genes include <italic>PutPMP3-1/2</italic>[<xref ref-type="bibr" rid="b13-ijms-14-01740">13</xref>], <italic>PutHKT2;1</italic>[<xref ref-type="bibr" rid="b14-ijms-14-01740">14</xref>], <italic>PutAKT1</italic>[<xref ref-type="bibr" rid="b15-ijms-14-01740">15</xref>], <italic>KPutB1</italic>[<xref ref-type="bibr" rid="b16-ijms-14-01740">16</xref>], <italic>PutCAX1</italic>[<xref ref-type="bibr" rid="b17-ijms-14-01740">17</xref>], and <italic>PtNHA1</italic>[<xref ref-type="bibr" rid="b18-ijms-14-01740">18</xref>]. The specific functions of these genes have been summarized in our previous article [<xref ref-type="bibr" rid="b6-ijms-14-01740">6</xref>]. Furthermore, some candidate salt/alkali-responsive genes/proteins in <italic>P. tenuiflora</italic> have been found using high-throughput transcriptomic and proteomic approaches. A cDNA library was constructed for <italic>P. tenuiflora</italic> under 450 mM NaHCO<sub>3</sub> stress for 48 h. It contained a total of 95 differentially regulated transcripts [<xref ref-type="bibr" rid="b19-ijms-14-01740">19</xref>]. Our previous comparative proteomic analysis revealed 93 unique NaCl-responsive proteins in <italic>P. tenuiflora</italic> leaves [<xref ref-type="bibr" rid="b6-ijms-14-01740">6</xref>]. These studies have provided important information for understanding salt-tolerance mechanisms and candidate gene functions. However, the alkali responsive molecular processes remain elusive.</p>
<p>In the present study, we analyzed the characteristics of <italic>P. tenuiflora</italic> leaves in response to Na<sub>2</sub>CO<sub>3</sub> 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 <italic>P. tenuiflora</italic> in response to Na<sub>2</sub>CO<sub>3</sub> have been revealed, leading to better understanding of the underlying molecular mechanisms of alkali tolerance in cereals.</p></sec>
<sec sec-type="results">
<title>2. Results</title>
<sec>
<title>2.1. Effects of Na<sub>2</sub>CO<sub>3</sub> Stress on the Growth and Photosynthesis of P. tenuiflora</title>
<p>To evaluate the effects of alkaline stress on the growth of <italic>P. tenuiflora</italic>, shoot length, leaf fresh weight, dry weight, and water content were determined (<xref ref-type="fig" rid="f1-ijms-14-01740">Figure 1</xref>). The shoot length declined gradually with the increase in Na<sub>2</sub>CO<sub>3</sub> concentration (<xref ref-type="fig" rid="f1-ijms-14-01740">Figure 1A</xref>). The fresh weight and water content decreased when seedlings were treated with 95 mM Na<sub>2</sub>CO<sub>3</sub> (<xref ref-type="fig" rid="f1-ijms-14-01740">Figure 1B,D</xref>).</p>
<p>The photosynthesis indexes of <italic>P. tenuiflora</italic> under Na<sub>2</sub>CO<sub>3</sub> treatment were analyzed. After seven days of 38 mM and 95 mM Na<sub>2</sub>CO<sub>3</sub> treatments, the <italic>P. tenuiflora</italic> seedlings did not show obvious damage to leaf morphology (data not shown), implying the high capacity of <italic>P. tenuiflora</italic> seedlings to tolerate Na<sub>2</sub>CO<sub>3</sub>. However, photosynthesis was affected by Na<sub>2</sub>CO<sub>3</sub> stress. Stomatal conductance (Gs) (<xref ref-type="fig" rid="f2-ijms-14-01740">Figure 2A</xref>), photosynthetic rate (Pn) (<xref ref-type="fig" rid="f2-ijms-14-01740">Figure 2B</xref>), and transpiration rate (Tr) (<xref ref-type="fig" rid="f2-ijms-14-01740">Figure 2C</xref>) exhibited little changes under 38 mM Na<sub>2</sub>CO<sub>3</sub> treatment, but showed marked decreases under 95 mM Na<sub>2</sub>CO<sub>3</sub>. 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) (<xref ref-type="fig" rid="f2-ijms-14-01740">Figure 2D</xref>) and the PSII maximum efficiency (Fv′/Fm′) (<xref ref-type="fig" rid="f2-ijms-14-01740">Figure 2E</xref>) were not significantly altered under 38 mM Na<sub>2</sub>CO<sub>3</sub>, but were reduced remarkably under 95 mM Na<sub>2</sub>CO<sub>3</sub>. The non-photochemical quenching coefficient (qNP) (<xref ref-type="fig" rid="f2-ijms-14-01740">Figure 2F</xref>) remained constant under 38 mM and then increased under 95 mM Na<sub>2</sub>CO<sub>3</sub> treatment.</p></sec>
<sec>
<title>2.2. Changes to Leaf Osmotic Potential, Plasma Membrane Integrity and Antioxidant Enzyme Activities</title>
<p>Leaf osmotic potential showed a significant decrease under Na<sub>2</sub>CO<sub>3</sub> treatments (<xref ref-type="fig" rid="f3-ijms-14-01740">Figure 3A</xref>), indicating the seedlings suffered from osmotic stress. The electrolyte leakage ratio (<xref ref-type="fig" rid="f3-ijms-14-01740">Figure 3B</xref>) and malondialdehyde (MDA) contents (<xref ref-type="fig" rid="f3-ijms-14-01740">Figure 3C</xref>) were increased significantly under Na<sub>2</sub>CO<sub>3</sub>. This indicates that the plasma membrane integrity was damaged by Na<sub>2</sub>CO<sub>3</sub> 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 Na<sub>2</sub>CO<sub>3</sub> stress. The superoxide dismutase (SOD) activity decreased under Na<sub>2</sub>CO<sub>3</sub> stress (<xref ref-type="fig" rid="f3-ijms-14-01740">Figure 3D</xref>), but the peroxidase (POD) activity increased under 38 mM Na<sub>2</sub>CO<sub>3</sub> (<xref ref-type="fig" rid="f3-ijms-14-01740">Figure 3E</xref>), and the catalase (CAT) activity increased obviously under both Na<sub>2</sub>CO<sub>3</sub> concentrations (<xref ref-type="fig" rid="f3-ijms-14-01740">Figure 3F</xref>).</p></sec>
<sec>
<title>2.3. Ion Content Changes in Leaves under Na<sub>2</sub>CO<sub>3</sub> Stress</title>
<p>Ion homeostasis is important in plant response to salt stress. Leaf Na content increased with increases in Na<sub>2</sub>CO<sub>3</sub> concentration (<xref ref-type="fig" rid="f4-ijms-14-01740">Figure 4A</xref>). Leaf K contents also increased under 95 mM Na<sub>2</sub>CO<sub>3</sub> treatment (<xref ref-type="fig" rid="f4-ijms-14-01740">Figure 4B</xref>). This led to declined K/Na ratios under the Na<sub>2</sub>CO<sub>3</sub> treatment (<xref ref-type="fig" rid="f4-ijms-14-01740">Figure 4C</xref>). Furthermore, Na and K contents on the leaf surface increased gradually with the increases in Na<sub>2</sub>CO<sub>3</sub> concentration, and K/Na ratio was reduced on the leaf surface (<xref ref-type="fig" rid="f4-ijms-14-01740">Figure 4D,E,F</xref>). Moreover, as an important signaling messenger, calcium contents in different subcellular compartments of epidermal cells and mesophyll cells were affected by Na<sub>2</sub>CO<sub>3</sub>. In epidermal cells, calcium content in the cell wall and cytoplasm increased gradually with the increases in Na<sub>2</sub>CO<sub>3</sub> concentration, but reduced in the vacuoles under 38 mM Na<sub>2</sub>CO<sub>3</sub> treatment (<xref ref-type="fig" rid="f4-ijms-14-01740">Figure 4G</xref>). Similarly, in mesophyll cells, calcium contents in the cell wall and cytoplasm increased under 95 mM Na<sub>2</sub>CO<sub>3</sub> treatments, while the calcium content in vacuoles reduced sharply in the Na<sub>2</sub>CO<sub>3</sub> treated samples (<xref ref-type="fig" rid="f4-ijms-14-01740">Figure 4H</xref>).</p></sec>
<sec>
<title>2.4. Identification and Functional Categorization of Na<sub>2</sub>CO<sub>3</sub> Responsive Proteins</title>
<p>The alkali-responsive protein profiles were obtained using 2-DE analysis of leaf samples under 0 mM, 38 mM, and 95 mM Na<sub>2</sub>CO<sub>3</sub> treatments (<xref ref-type="fig" rid="f5-ijms-14-01740">Figure 5</xref>, 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 (<xref ref-type="fig" rid="f5-ijms-14-01740">Figure 5</xref>, <xref ref-type="table" rid="t1-ijms-14-01740">Table 1</xref>). 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 (<xref ref-type="table" rid="t1-ijms-14-01740">Table 1</xref>). 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.</p></sec>
<sec>
<title>2.5. Protein Clustering and the Dynamics of Protein Networks</title>
<p>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 [<xref ref-type="bibr" rid="b6-ijms-14-01740">6</xref>,<xref ref-type="bibr" rid="b20-ijms-14-01740">20</xref>]. 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 [<xref ref-type="bibr" rid="b6-ijms-14-01740">6</xref>,<xref ref-type="bibr" rid="b20-ijms-14-01740">20</xref>]. 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 (<xref ref-type="fig" rid="f6-ijms-14-01740">Figure 6</xref>). 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 (<xref ref-type="fig" rid="f6-ijms-14-01740">Figure 6</xref>). 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 (<xref ref-type="fig" rid="f6-ijms-14-01740">Figure 6</xref>). 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 Na<sub>2</sub>CO<sub>3</sub> for <italic>P. tenuiflora</italic>[<xref ref-type="bibr" rid="b12-ijms-14-01740">12</xref>,<xref ref-type="bibr" rid="b21-ijms-14-01740">21</xref>,<xref ref-type="bibr" rid="b22-ijms-14-01740">22</xref>], 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 Na<sub>2</sub>CO<sub>3</sub> treatment (<xref ref-type="fig" rid="f6-ijms-14-01740">Figure 6</xref>). Such protein patterns correlated well with our aforementioned physiological results, e.g., the photosynthetic capability (e.g., Pn, and qP) and antioxidant-related indexes.</p></sec></sec>
<sec sec-type="discussion">
<title>3. Discussion</title>
<sec>
<title>3.1. Photosynthesis Is Inhibited by Na<sub>2</sub>CO<sub>3</sub></title>
<p>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 [<xref ref-type="bibr" rid="b23-ijms-14-01740">23</xref>]. However, the less-tolerant dicotyledonous halophytes and monocotyledons halophytes, especially grasses, grow better in non-salinized conditions [<xref ref-type="bibr" rid="b23-ijms-14-01740">23</xref>,<xref ref-type="bibr" rid="b24-ijms-14-01740">24</xref>]. Our results showed that the growth of <italic>P. tenuiflora</italic>, a monocot halophyte grass, was not obviously affected by low Na<sub>2</sub>CO<sub>3</sub> concentration, but was inhibited by higher Na<sub>2</sub>CO<sub>3</sub> concentration (<xref ref-type="fig" rid="f1-ijms-14-01740">Figure 1</xref>). This correlates well with the biomass changes of <italic>P. tenuiflora</italic> under NaCl stress [<xref ref-type="bibr" rid="b6-ijms-14-01740">6</xref>]. In this study, Gs, Pn, and Tr of <italic>P. tenuiflora</italic> seedlings exhibited little changes at 38 mM Na<sub>2</sub>CO<sub>3</sub>, but decreased significantly at 95 mM Na<sub>2</sub>CO<sub>3</sub> (<xref ref-type="fig" rid="f2-ijms-14-01740">Figure 2A,B,C</xref>), indicating photosynthesis was reduced at the higher Na<sub>2</sub>CO<sub>3</sub> concentration. Moreover, Fv/Fm and Fv′/Fm′ were stable at 38 mM Na<sub>2</sub>CO<sub>3</sub>, but reduced at 95 mM Na<sub>2</sub>CO<sub>3</sub> (<xref ref-type="fig" rid="f2-ijms-14-01740">Figure 2D,E</xref>). This implied that the efficiency of PSII photochemistry was not affected by the low Na<sub>2</sub>CO<sub>3</sub> concentration, but inhibited by the high Na<sub>2</sub>CO<sub>3</sub> concentration. The reduced Fv/Fm of seedlings under 95 mM Na<sub>2</sub>CO<sub>3</sub> implied the occurrence of photoinhibition in <italic>P. tenuiflora</italic> under the higher concentration of Na<sub>2</sub>CO<sub>3</sub>. The decrease of Fv/Fm was usually accompanied by increase of thermal dissipation, which was evaluated by nonphotochemical quenching of Chl fluorescence (qNP) [<xref ref-type="bibr" rid="b25-ijms-14-01740">25</xref>]. Here qNP was maintained almost constant at 38 mM Na<sub>2</sub>CO<sub>3</sub>, but increased significantly at 95 mM Na<sub>2</sub>CO<sub>3</sub> (<xref ref-type="fig" rid="f2-ijms-14-01740">Figure 2F</xref>), which corresponded with the change of Fv/Fm. This result implied that thermal dissipation remained steady at 38 mM Na<sub>2</sub>CO<sub>3</sub>, but increased at 95 mM Na<sub>2</sub>CO<sub>3</sub>.</p>
<p>Previous studies have found that salt and alkali stresses affected photosynthetic carbon fixation [<xref ref-type="bibr" rid="b1-ijms-14-01740">1</xref>,<xref ref-type="bibr" rid="b26-ijms-14-01740">26</xref>]. Our present proteomics data revealed that some of the enzymes in Calvin cycle were reduced by Na<sub>2</sub>CO<sub>3</sub> stress, which implied that the decrease in Pn was due to the less efficient carbon fixation under Na<sub>2</sub>CO<sub>3</sub> stress. These enzymes included carbonic anhydrase (CA), RuBisCO, phosphoribulokinase (PRK), and ferredoxin-thioredoxin reductase (FTR). CA can help increase the concentration of CO<sub>2</sub> within the chloroplast in order to increase the carboxylation rate of RuBisCO [<xref ref-type="bibr" rid="b27-ijms-14-01740">27</xref>]. The change tendency of CA is similar to those of Gs, Pn, and Tr in <italic>P. tenuiflora</italic>. 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 [<xref ref-type="bibr" rid="b28-ijms-14-01740">28</xref>]. FTR is an iron-sulfur enzyme, which links light to enzyme regulation in oxygenic photosynthesis, catalyzing the activation of fructose 1,6-bisphosphatase [<xref ref-type="bibr" rid="b29-ijms-14-01740">29</xref>]. The decline of these enzymes in the Calvin cycle under Na<sub>2</sub>CO<sub>3</sub> treatment could lead to the decrease of carbon fixation.</p></sec>
<sec>
<title>3.2. Antioxidant Mechanisms in Leaves to Cope with Na<sub>2</sub>CO<sub>3</sub></title>
<p>Salt and alkali stresses enhance the production of ROS, resulting in various ROS-associated perturbations in the seedlings [<xref ref-type="bibr" rid="b2-ijms-14-01740">2</xref>]. Chloroplasts are key intracellular ROS generators. In chloroplasts, the production of O<sub>2</sub><sup>−</sup> is mainly determined by the balance between absorption and utilization of light energy [<xref ref-type="bibr" rid="b25-ijms-14-01740">25</xref>]. The energy consumption for CO<sub>2</sub> assimilation suppressed by Na<sub>2</sub>CO<sub>3</sub> stress led to ROS imbalance, which would cause oxidative damage to enzymes and thus the photosynthetic apparatus [<xref ref-type="bibr" rid="b2-ijms-14-01740">2</xref>,<xref ref-type="bibr" rid="b25-ijms-14-01740">25</xref>,<xref ref-type="bibr" rid="b30-ijms-14-01740">30</xref>]. In the present study, the significantly increased electrolyte leakage ratio and MDA contents indicate that plasma membrane was damaged by lipid peroxidation under Na<sub>2</sub>CO<sub>3</sub> stress [<xref ref-type="bibr" rid="b30-ijms-14-01740">30</xref>].</p>
<p>Our results have revealed several mechanisms of light energy balance and antioxidation used to cope with Na<sub>2</sub>CO<sub>3</sub> stress in <italic>P. tenuiflora</italic> seedlings. Salt accumulation on the leaf surface would prevent excessive light absorption in Na<sub>2</sub>CO<sub>3</sub> stressed plants. The contents of Na and K on the surface of <italic>P. tenuiflora</italic> leaves increased gradually with increasing Na<sub>2</sub>CO<sub>3</sub> concentrations (<xref ref-type="fig" rid="f4-ijms-14-01740">Figure 4A,B,D,E</xref>), which suggested that <italic>P. tenuiflora</italic> possesses the ability to secrete salts under Na<sub>2</sub>CO<sub>3</sub> stress. Other ions such as Ca, Mg, and Si have also been found to increase in concentration on the <italic>P. tenuiflora</italic> leaf surface with the increasing Na<sub>2</sub>CO<sub>3</sub> concentrations [<xref ref-type="bibr" rid="b10-ijms-14-01740">10</xref>]. The accumulation of salts on leaf surfaces developed greater surface reflectance, contributing to reduce light absorption [<xref ref-type="bibr" rid="b31-ijms-14-01740">31</xref>]. At the same time, thermal dissipation was enhanced to remove excess energy at high Na<sub>2</sub>CO<sub>3</sub> concentration. The increase of qNP demonstrates that the thermal dissipation was enhanced to protect the photochemical apparatus under Na<sub>2</sub>CO<sub>3</sub> stress (<xref ref-type="fig" rid="f2-ijms-14-01740">Figure 2F</xref>). In addition, the enhancement of the xanthophyll cycle would increase the thylakoid pH, which is helpful for induced thermal dissipation [<xref ref-type="bibr" rid="b25-ijms-14-01740">25</xref>]. 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 [<xref ref-type="bibr" rid="b32-ijms-14-01740">32</xref>]. It was also found to be increased in <italic>Solanum lycopersicum</italic> under salt stress [<xref ref-type="bibr" rid="b33-ijms-14-01740">33</xref>].</p>
<p>The ROS scavenging system was activated in seedlings to cope with Na<sub>2</sub>CO<sub>3</sub> stress. The activities of POD (<xref ref-type="fig" rid="f3-ijms-14-01740">Figure 3E</xref>) and CAT (<xref ref-type="fig" rid="f3-ijms-14-01740">Figure 3F</xref>), the two enzymes involved in the removal of H<sub>2</sub>O<sub>2</sub>, were increased under Na<sub>2</sub>CO<sub>3</sub> treatments, especially under 38 mM Na<sub>2</sub>CO<sub>3</sub>. However, SOD activity was reduced dramatically under Na<sub>2</sub>CO<sub>3</sub> stress (<xref ref-type="fig" rid="f3-ijms-14-01740">Figure 3D</xref>). SOD is an enzyme for dismutation of O<sub>2</sub><sup>−</sup> to produce H<sub>2</sub>O<sub>2</sub>. Thus, in <italic>P. tenuiflora</italic> seedlings under Na<sub>2</sub>CO<sub>3</sub>, H<sub>2</sub>O<sub>2</sub> might be mainly produced in peroxisome from oxidation of glycolate during photorespiration rather than from dismutation of O<sub>2</sub><sup>−</sup>[<xref ref-type="bibr" rid="b6-ijms-14-01740">6</xref>]. In addition, our proteomics data showed that other antioxidant and detoxification mechanisms were enhanced in seedlings to cope with Na<sub>2</sub>CO<sub>3</sub> stress. Glyoxalase (GLO) was found to be induced in seedlings with increasing concentrations of Na<sub>2</sub>CO<sub>3</sub>. 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 [<xref ref-type="bibr" rid="b34-ijms-14-01740">34</xref>]. In transgenic tobacco plants, overexpression of glyoxalase I can tolerate an increase in methylglyoxal and maintain high levels of reduced glutathione under salinity stress [<xref ref-type="bibr" rid="b35-ijms-14-01740">35</xref>]. Our results implied that GLO might be an important candidate for conferring high alkali tolerance in <italic>P. tenuiflora</italic>. Furthermore, germin-like protein (GLP) was also induced under Na<sub>2</sub>CO<sub>3</sub> 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 [<xref ref-type="bibr" rid="b36-ijms-14-01740">36</xref>]. The increased GLPs were detected in <italic>Nicotiana tabacum</italic> leaf apoplast [<xref ref-type="bibr" rid="b37-ijms-14-01740">37</xref>] and <italic>Arabidopsis thaliana</italic> roots [<xref ref-type="bibr" rid="b38-ijms-14-01740">38</xref>] after exposure to salt stress. Wheat germin has been shown to display oxalate oxidase activity; this activity is shared among most plants [<xref ref-type="bibr" rid="b36-ijms-14-01740">36</xref>]. Germin-like oxalate oxidase is involved in degrading the oxalic acid, a highly toxic chemical, through production of H<sub>2</sub>O<sub>2</sub>[<xref ref-type="bibr" rid="b36-ijms-14-01740">36</xref>]. Thus, the Na<sub>2</sub>CO<sub>3</sub> increased GLP might provide an explanation for the decrease of oxalic acids in shoots and roots of <italic>P. tenuiflora</italic>[<xref ref-type="bibr" rid="b9-ijms-14-01740">9</xref>]. Additionally, an aluminum-induced protein-like protein (AIPLP) was induced under 95 mM Na<sub>2</sub>CO<sub>3</sub> treatment. Previous studies have shown that the AIPLP was not specific to aluminum stress, but also involved in other metal, wounding [<xref ref-type="bibr" rid="b39-ijms-14-01740">39</xref>], and drought stresses [<xref ref-type="bibr" rid="b40-ijms-14-01740">40</xref>]. This protein might also contribute to the tolerance to Na<sub>2</sub>CO<sub>3</sub> stress in <italic>P. tenuiflora</italic> when at a high concentration.</p></sec>
<sec>
<title>3.3. Ion Homeostasis and Transport under Na<sub>2</sub>CO<sub>3</sub> Stress</title>
<p>The intracellular ion homeostasis is fundamental to living cells. Under salinity conditions, high apoplastic levels of Na<sup>+</sup> would alter the aqueous and ionic thermodynamic equilibrium, resulting in hyperosmotic stress, ionic imbalance, and toxicity [<xref ref-type="bibr" rid="b26-ijms-14-01740">26</xref>]. 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 <italic>P. tenuiflora</italic> developed some protective mechanisms to reestablish cellular ion homeostasis through selective salt accumulation or exclusion, <italic>in vivo</italic> compartmentalization, and Ca<sup>2+</sup> signaling.</p>
<p>Maintaining a high cytosolic K<sup>+</sup>/Na<sup>+</sup> ratio is one of the most important mechanisms for plant salt tolerance [<xref ref-type="bibr" rid="b8-ijms-14-01740">8</xref>]. In our study, the Na content in leaves increased remarkably in all alkaline treatments. However, the K content did not increase under 38 mM Na<sub>2</sub>CO<sub>3</sub>, but increased slightly under 95 mM Na<sub>2</sub>CO<sub>3</sub> (<xref ref-type="fig" rid="f4-ijms-14-01740">Figure 4A,B</xref>). This led to the decreased intracellular K/Na ratio in <italic>P. tenuiflora</italic> leaves (<xref ref-type="fig" rid="f4-ijms-14-01740">Figure 4C</xref>), although some Na ions were secreted to the leaf surface (<xref ref-type="fig" rid="f4-ijms-14-01740">Figure 4D</xref>). It is obvious that the ion homeostasis in <italic>P. tenuiflora</italic> leaves was affected under Na<sub>2</sub>CO<sub>3</sub> stress. In previous studies, <italic>P. tenuiflora</italic> had lower net Na<sup>+</sup> uptake rates than wheat (less than 50% under 150 mM NaCl) [<xref ref-type="bibr" rid="b8-ijms-14-01740">8</xref>], which indicates that <italic>P. tenuiflora</italic> has a greater capacity than wheat to restrict unidirectional Na<sup>+</sup> influx to maintain low net Na<sup>+</sup> uptake[<xref ref-type="bibr" rid="b9-ijms-14-01740">9</xref>]. Besides, the increased contents of K and Na on the leaves surface with the increase of external Na<sub>2</sub>CO<sub>3</sub> concentrations (<xref ref-type="fig" rid="f4-ijms-14-01740">Figure 4D,E</xref>) support the hypothesis that <italic>P. tenuiflora</italic> leaves could exude salts through stomata or together with wax secretion [<xref ref-type="bibr" rid="b10-ijms-14-01740">10</xref>].</p>
<p>Ion compartmentalization in different tissues can facilitate their metabolic functions [<xref ref-type="bibr" rid="b2-ijms-14-01740">2</xref>]. The salt-inducible Na<sup>+</sup>/H<sup>+</sup> antiporter is in charge of Na removal from the cytoplasm or compartmentalization in the vacuoles [<xref ref-type="bibr" rid="b2-ijms-14-01740">2</xref>]. The vacuolar Na<sup>+</sup>/H<sup>+</sup> antiporters were induced by NaHCO<sub>3</sub> in <italic>P. tenuiflora</italic>, suggesting its key role in pH regulation under alkaline conditions [<xref ref-type="bibr" rid="b41-ijms-14-01740">41</xref>]. Vacuolar-type Na<sup>+</sup>/H<sup>+</sup> antiporter was mainly driven by the proton gradient across the vacuolar membrane generated by vacuolar type H<sup>+</sup>-ATPases (V-ATPases) [<xref ref-type="bibr" rid="b2-ijms-14-01740">2</xref>,<xref ref-type="bibr" rid="b42-ijms-14-01740">42</xref>]. 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 [<xref ref-type="bibr" rid="b2-ijms-14-01740">2</xref>,<xref ref-type="bibr" rid="b42-ijms-14-01740">42</xref>]. In the present study, a subunit of V-ATPase was induced under Na<sub>2</sub>CO<sub>3</sub> stress. The corresponding increase of Na content in vacuoles under Na<sub>2</sub>CO<sub>3</sub> stress was much higher than in cytoplasm of epidermal cells and mesophyll cells [<xref ref-type="bibr" rid="b43-ijms-14-01740">43</xref>]. These findings suggest that the Na<sub>2</sub>CO<sub>3</sub>-induced V-ATPase was required to energize the tonoplast for ion uptake into the vacuoles.</p>
<p>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 <italic>P. tenuiflora</italic> when exposed to Na<sub>2</sub>CO<sub>3</sub> stress (<xref ref-type="fig" rid="f4-ijms-14-01740">Figure 4G,H</xref>). Calcium is a principal signaling molecule for salinity tolerance [<xref ref-type="bibr" rid="b2-ijms-14-01740">2</xref>,<xref ref-type="bibr" rid="b3-ijms-14-01740">3</xref>]. High salinity leads to increased cytosolic Ca<sup>2+</sup>, which initiates the stress signal transduction pathways [<xref ref-type="bibr" rid="b3-ijms-14-01740">3</xref>]. In this study, the calcium content in cytoplasm of epidermal cells (<xref ref-type="fig" rid="f4-ijms-14-01740">Figure 4G</xref>) and mesophyll cells (<xref ref-type="fig" rid="f4-ijms-14-01740">Figure 4H</xref>) increased significantly under 95 mM Na<sub>2</sub>CO<sub>3</sub>. In contrast, the calcium content in vacuoles of epidermis cells (<xref ref-type="fig" rid="f4-ijms-14-01740">Figure 4G</xref>) and mesophyll cells (<xref ref-type="fig" rid="f4-ijms-14-01740">Figure 4H</xref>) decreased. This indicates that the increased cytosolic Ca<sup>2+</sup> might be transported from the apoplast and intracellular compartments [<xref ref-type="bibr" rid="b2-ijms-14-01740">2</xref>]. In addition, our proteomics data revealed that a developmentally regulated plasma membrane polypeptide (DREPP PM)-like protein increased under Na<sub>2</sub>CO<sub>3</sub> 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 [<xref ref-type="bibr" rid="b44-ijms-14-01740">44</xref>] and salt stress [<xref ref-type="bibr" rid="b45-ijms-14-01740">45</xref>]. This result suggests that DREPP-like protein may be associated with the Ca<sup>2+</sup> signal transduction pathway in the seedlings of <italic>P. tenuiflora</italic> under Na<sub>2</sub>CO<sub>3</sub> stress.</p></sec>
<sec>
<title>3.4. Enhancement of Energy Supply and Other Specialized Metabolism</title>
<p>In this study, nine protein IDs were carbohydrate metabolism-related enzymes, and nine were involved in energy production (<xref ref-type="table" rid="t1-ijms-14-01740">Table 1</xref>). 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 Na<sub>2</sub>CO<sub>3</sub> 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 Na<sub>2</sub>CO<sub>3</sub> along with the other five enzymes would contribute to glucose breakdown for energy generation to cope with Na<sub>2</sub>CO<sub>3</sub> 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 Na<sub>2</sub>CO<sub>3</sub> 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 Na<sub>2</sub>CO<sub>3</sub> stress. This implies that the enhancement of the metabolism provides ATP for plant adaptation to Na<sub>2</sub>CO<sub>3</sub> stress. Similar results have also been found in salt-stressed <italic>Salicornia europaea</italic>[<xref ref-type="bibr" rid="b20-ijms-14-01740">20</xref>] and <italic>P. tenuiflora</italic>[<xref ref-type="bibr" rid="b6-ijms-14-01740">6</xref>].</p>
<p>Two amino acid metabolism-related proteins, aspartate aminotransferase (AST) and methionine synthase (MS), increased in levels under Na<sub>2</sub>CO<sub>3</sub> treatment (<xref ref-type="table" rid="t1-ijms-14-01740">Table 1</xref>). 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 [<xref ref-type="bibr" rid="b20-ijms-14-01740">20</xref>]. MS is an enzyme that catalyzes the final step in the regeneration of methionine from homocysteine [<xref ref-type="bibr" rid="b46-ijms-14-01740">46</xref>]. <sc>l</sc>-methionine is the substrate for the synthesis of <italic>S</italic>-adenosyl-<sc>l</sc>-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 Na<sub>2</sub>CO<sub>3</sub>-stressed <italic>P. tenuiflora</italic> 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 [<xref ref-type="bibr" rid="b20-ijms-14-01740">20</xref>], and a previous study has reported the increased deposition of lignin in the vascular tissues of plants under salinity stress [<xref ref-type="bibr" rid="b46-ijms-14-01740">46</xref>]. Therefore, the increase of these two proteins might imply that Na<sub>2</sub>CO<sub>3</sub> treatment can increase the vessel development in <italic>P. tenuiflora.</italic> 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 [<xref ref-type="bibr" rid="b6-ijms-14-01740">6</xref>,<xref ref-type="bibr" rid="b20-ijms-14-01740">20</xref>,<xref ref-type="bibr" rid="b46-ijms-14-01740">46</xref>].</p>
<p>Additionally, a number of proteins involved in transcription, protein synthesis, protein folding and transport, as well as protein degradation showed Na<sub>2</sub>CO<sub>3</sub> response (<xref ref-type="table" rid="t1-ijms-14-01740">Table 1</xref>). Among them, two Na<sub>2</sub>CO<sub>3</sub>-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 <italic>Escherichia coli</italic>, consuming ATP during the insertion and deinsertion phases of its catalytic cycle while guiding preprotein segments across the membrane [<xref ref-type="bibr" rid="b47-ijms-14-01740">47</xref>]. 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 <italic>P. tenuiflora</italic> under alkaline stress.</p></sec></sec>
<sec>
<title>4. Experimental Section</title>
<sec>
<title>4.1. Plant Cultivation and Treatment</title>
<p>Seeds of <italic>Puccinellia tenuiflora</italic> (Turcz.) scribn. et Merr. were sowed on pearlite and cultured in a controlled environment chamber under white fluorescent light (300 μM m<sup>−2</sup> s<sup>−1</sup>; 13 h light/11 h dark) at 25 °C and about 75% relative humidity for 50 days, as previously described [<xref ref-type="bibr" rid="b6-ijms-14-01740">6</xref>,<xref ref-type="bibr" rid="b12-ijms-14-01740">12</xref>]. 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% Na<sub>2</sub>CO<sub>3</sub> treatments, these plants were treated with 0 mM, 38 mM and 95 mM Na<sub>2</sub>CO<sub>3</sub>, 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 [<xref ref-type="bibr" rid="b6-ijms-14-01740">6</xref>].</p></sec>
<sec sec-type="methods">
<title>4.2. Photosynthesis and Chlorophyll Fluorescence Analysis</title>
<p>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<sup>−1</sup> s<sup>−1</sup>, 600 Hz), and maximum fluorescence yield (Fm) emitted during a saturating light pulse (5000 μmol photons m<sup>−2</sup> s<sup>−1</sup>, 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<sup>−2</sup> s<sup>−1</sup> as the actinic light and 5000 μmol photons m<sup>−2</sup> s<sup>−1</sup> as the saturating flashes. Fo′ was measured using an irradiance of far-red light (1.67 μmol photons m<sup>−2</sup> s<sup>−1</sup>, 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 [<xref ref-type="bibr" rid="b12-ijms-14-01740">12</xref>].</p></sec>
<sec sec-type="methods">
<title>4.3. Analysis of Osmotic Potential, Electrolyte Leakage, MDA Content, and Antioxidant Enzymes</title>
<p>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 <italic>et al.</italic>[<xref ref-type="bibr" rid="b48-ijms-14-01740">48</xref>]. The electrolyte leakage ratio was obtained according to Akram <italic>et al.</italic>[<xref ref-type="bibr" rid="b49-ijms-14-01740">49</xref>]. The three antioxidant enzymes (SOD, POD, and CAT) were extracted and detected according to the method of Yu <italic>et al.</italic>[<xref ref-type="bibr" rid="b6-ijms-14-01740">6</xref>].</p></sec>
<sec>
<title>4.4. Determination of Ion Content</title>
<p>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.</p>
<p>The sample preparation and microscopic analysis for Ca determination was done according to Qi <italic>et al.</italic>[<xref ref-type="bibr" rid="b50-ijms-14-01740">50</xref>]. 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.</p>
<p>For measuring the concentrations of K<sup>+</sup> and Na<sup>+</sup> 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<sup>+</sup> and K<sup>+</sup>.</p></sec>
<sec sec-type="methods">
<title>4.5. Protein Sample Preparation, 2DE, and Image Analysis</title>
<p>The proteins from leaves under different treatment conditions were extracted according to the method of Wang <italic>et al.</italic>[<xref ref-type="bibr" rid="b48-ijms-14-01740">48</xref>]. 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 <italic>et al.</italic>[<xref ref-type="bibr" rid="b6-ijms-14-01740">6</xref>]. 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 [<xref ref-type="bibr" rid="b48-ijms-14-01740">48</xref>]. 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 <italic>p</italic> value smaller than 0.05 were considered to be differentially expressed.</p></sec>
<sec sec-type="methods">
<title>4.6. Protein Identification and Database Searching</title>
<p>The differentially expressed spots were excised from the gels and digested with trypsin [<xref ref-type="bibr" rid="b51-ijms-14-01740">51</xref>]. MS/MS spectra were acquired on a LC ESI Q-TOF MS/MS (AB Sciex, Framingham, MA, USA) according to the method of Yu <italic>et al.</italic>[<xref ref-type="bibr" rid="b6-ijms-14-01740">6</xref>]. The MS/MS spectra were searched against the NCBInr protein databases [<xref ref-type="bibr" rid="b52-ijms-14-01740">52</xref>] using Mascot software (Matrix Sciences, London, UK). The taxonomic category was green plants. The searching criteria were according to Yu <italic>et al.</italic>[<xref ref-type="bibr" rid="b6-ijms-14-01740">6</xref>].</p></sec>
<sec sec-type="methods">
<title>4.7. Protein Classification and Hierarchical Cluster Analysis</title>
<p>The identified proteins were searched against the NCBI database [<xref ref-type="bibr" rid="b52-ijms-14-01740">52</xref>] and UniProt database [<xref ref-type="bibr" rid="b53-ijms-14-01740">53</xref>] 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 [<xref ref-type="bibr" rid="b20-ijms-14-01740">20</xref>,<xref ref-type="bibr" rid="b54-ijms-14-01740">54</xref>].</p></sec>
<sec sec-type="methods">
<title>4.8. Statistical Analysis</title>
<p>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 <italic>p</italic> value less than 0.05 was considered statistically significant.</p></sec></sec>
<sec>
<title>5. Conclusion</title>
<p>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 Na<sub>2</sub>CO<sub>3</sub>-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 Na<sub>2</sub>CO<sub>3</sub> 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 Na<sub>2</sub>CO<sub>3</sub>-responsive proteins reached the maximum or minimum abundances under 38 mM Na<sub>2</sub>CO<sub>3</sub> 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 Na<sub>2</sub>CO<sub>3</sub> is the turning point concentration for <italic>P. tenuiflora.</italic> Based on the integration of proteomics and physiological results, our study revealed several Na<sub>2</sub>CO<sub>3</sub>-responsive mechanisms in <italic>P. tenuiflora</italic>, 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.</p></sec></body>
<back>
<ack>
<title>Acknowledgments</title>
<p>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.</p></ack>
<glossary>
<title>Abbreviation</title>
<def-list>
<def-item>
<term id="G1">6PGDH</term>
<def>
<p>6-phosphogluconate dehydrogenase</p></def></def-item>
<def-item>
<term id="G2">AAIR</term>
<def>
<p>acetohydroxy acid isomeroreductase</p></def></def-item>
<def-item>
<term id="G3">AIPLP</term>
<def>
<p>aluminum-induced protein-like protein</p></def></def-item>
<def-item>
<term id="G4">ALD</term>
<def>
<p>aldolase</p></def></def-item>
<def-item>
<term id="G5">AST</term>
<def>
<p>aspartate aminotransferase</p></def></def-item>
<def-item>
<term id="G6">ATP ase CF1</term>
<def>
<p>ATP synthase CF1 alpha subunit</p></def></def-item>
<def-item>
<term id="G7">ATPase 1</term>
<def>
<p>ATP synthase alpha subunit</p></def></def-item>
<def-item>
<term id="G8">CA</term>
<def>
<p>carbonic anhydrase</p></def></def-item>
<def-item>
<term id="G9">CAT</term>
<def>
<p>catalase</p></def></def-item>
<def-item>
<term id="G10">CPS</term>
<def>
<p>counts per second</p></def></def-item>
<def-item>
<term id="G11">DREPP</term>
<def>
<p>developmentally regulated plasma membrane polypeptide</p></def></def-item>
<def-item>
<term id="G12">FBA</term>
<def>
<p>fructose-bisphosphate aldolase</p></def></def-item>
<def-item>
<term id="G13">FRKs</term>
<def>
<p>fructokinases</p></def></def-item>
<def-item>
<term id="G14">FTR</term>
<def>
<p>ferredoxin-thioredoxin reductase</p></def></def-item>
<def-item>
<term id="G15">Fv/Fm</term>
<def>
<p>maximum quantum efficiency of PSII photochemistry</p></def></def-item>
<def-item>
<term id="G16">Fv′/Fm′</term>
<def>
<p>PSII maximum efficiency</p></def></def-item>
<def-item>
<term id="G17">GAPDH</term>
<def>
<p>glyceraldehyde-3-phosphate dehydrogenase</p></def></def-item>
<def-item>
<term id="G18">GLO</term>
<def>
<p>glyoxalase</p></def></def-item>
<def-item>
<term id="G19">GLP</term>
<def>
<p>germin-like protein 1</p></def></def-item>
<def-item>
<term id="G20">Gs</term>
<def>
<p>Stomatal conductance</p></def></def-item>
<def-item>
<term id="G21">IDs</term>
<def>
<p>identities</p></def></def-item>
<def-item>
<term id="G22">IF4A</term>
<def>
<p>eukaryotic initiation factor 4A</p></def></def-item>
<def-item>
<term id="G23">M30</term>
<def>
<p>membrane-associated 30 kDa protein</p></def></def-item>
<def-item>
<term id="G24">MDA</term>
<def>
<p>malondialdehyde</p></def></def-item>
<def-item>
<term id="G25">MDH</term>
<def>
<p>malate dehydrogenase</p></def></def-item>
<def-item>
<term id="G26">MS</term>
<def>
<p>methionine synthase</p></def></def-item>
<def-item>
<term id="G27">PDI</term>
<def>
<p>protein disulfide-isomerase</p></def></def-item>
<def-item>
<term id="G28">PGK</term>
<def>
<p>phosphoglycerate kinase</p></def></def-item>
<def-item>
<term id="G29">Pn</term>
<def>
<p>photosynthetic rate</p></def></def-item>
<def-item>
<term id="G30">POD</term>
<def>
<p>peroxidase</p></def></def-item>
<def-item>
<term id="G31">PPIase</term>
<def>
<p>peptidyl-prolyl cis-trans isomerase</p></def></def-item>
<def-item>
<term id="G32">PRK</term>
<def>
<p>phosphoribulokinase</p></def></def-item>
<def-item>
<term id="G33">Proteasome α3</term>
<def>
<p>proteasome alpha type 3</p></def></def-item>
<def-item>
<term id="G34">PSII</term>
<def>
<p>photosystem II</p></def></def-item>
<def-item>
<term id="G35">qNP</term>
<def>
<p>non-photochemical quenching coefficient</p></def></def-item>
<def-item>
<term id="G36">ROS</term>
<def>
<p>reactive oxygen species</p></def></def-item>
<def-item>
<term id="G37">RP</term>
<def>
<p>Ribosomal protein S1-like RNA-binding domain</p></def></def-item>
<def-item>
<term id="G38">RRM</term>
<def>
<p>RNA recognition motif</p></def></def-item>
<def-item>
<term id="G39">Rubisco LSU</term>
<def>
<p>Rubisco large subunit</p></def></def-item>
<def-item>
<term id="G40">Rubisco SSU</term>
<def>
<p>Rubisco small subunit</p></def></def-item>
<def-item>
<term id="G41">SOD</term>
<def>
<p>superoxide dismutase</p></def></def-item>
<def-item>
<term id="G42">TIL</term>
<def>
<p>temperature stress-induced lipocalin</p></def></def-item>
<def-item>
<term id="G43">TIM</term>
<def>
<p>triosephosphate isomerase</p></def></def-item>
<def-item>
<term id="G44">Tr</term>
<def>
<p>transpiration rate</p></def></def-item>
<def-item>
<term id="G45">V-ATPase</term>
<def>
<p>vacuolar-type H; <sup>+</sup>-ATPase</p></def></def-item></def-list></glossary>
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<sec sec-type="display-objects">
<title>Figures and Table</title>
<fig id="f1-ijms-14-01740" position="float">
<label>Figure 1</label>
<caption>
<p>Biomass of <italic>P. tenuiflora</italic> seedlings grown under Na<sub>2</sub>CO<sub>3</sub> conditions. (<bold>A</bold>) shoot length of seedlings; (<bold>B</bold>) fresh weight of leaves; (<bold>C</bold>) dry weight of leaves; (<bold>D</bold>) water content in leaves. The values were determined after plants were treated with 0 mM, 38 mM, and 95 mM Na<sub>2</sub>CO<sub>3</sub> for seven days, and were presented as means ± SE (<italic>n</italic> = 9). The different small letters indicate significant differences (<italic>p</italic> &lt; 0.05).</p></caption>
<graphic xlink:href="ijms-14-01740f1.gif"/></fig>
<fig id="f2-ijms-14-01740" position="float">
<label>Figure 2</label>
<caption>
<p>Photosynthetic characteristics (A, B, C) and chlorophyll fluorescence parameters (D, E, F) of <italic>P. tenuiflora</italic> leaves under Na<sub>2</sub>CO<sub>3</sub> treatment. (<bold>A</bold>) stomata conductance (Gs); (<bold>B</bold>) photosynthesis rate (Pn); (<bold>C</bold>) transpiration rate (Tr); (<bold>D</bold>) Fv/Fm; (<bold>E</bold>) Fv′/Fm′; (<bold>F</bold>) qNP. The values were determined after plants were treated with 0 mM, 38 mM, and 95 mM Na<sub>2</sub>CO<sub>3</sub> for seven days, and were presented as means ± SE (<italic>n</italic> = 9). The different small letters indicate significant differences (<italic>p</italic> &lt; 0.05).</p></caption>
<graphic xlink:href="ijms-14-01740f2.gif"/></fig>
<fig id="f3-ijms-14-01740" position="float">
<label>Figure 3</label>
<caption>
<p>Changes of some antioxidant-related indexes in leaves of <italic>P. tenuiflora</italic> under Na<sub>2</sub>CO<sub>3</sub> treatment. (<bold>A</bold>) osmotic potential; (<bold>B</bold>) electrolyte leakage ratio; (<bold>C</bold>) MDA contents; (<bold>D</bold>) SOD activity; (<bold>E</bold>) POD activity; (<bold>F</bold>) CAT activity. The values were determined after plants were treated with 0 mM, 38 mM, and 95 mM Na<sub>2</sub>CO<sub>3</sub> for seven days, and were presented as means ± SE (<italic>n</italic> = 6). The small letters indicate significant difference (<italic>p</italic> &lt; 0.05).</p></caption>
<graphic xlink:href="ijms-14-01740f3.gif"/></fig>
<fig id="f4-ijms-14-01740" position="float">
<label>Figure 4</label>
<caption>
<p>Changes in ionic contents in leaves of <italic>P. tenuiflora</italic> under Na<sub>2</sub>CO<sub>3</sub> stress. (<bold>A</bold>) Na content in leaves; (<bold>B</bold>) K content in leaves; (<bold>C</bold>) K/Na ratio in leaves; (<bold>D</bold>) Na content outside leaves; (<bold>E</bold>) K content outside leaves; (<bold>F</bold>) K/Na ratio outside leaves; (<bold>G</bold>) Ca content in epidermal cells; (<bold>H</bold>) Ca content in mesophyll cells. The values were determined after plants were treated with 0 mM, 38 mM, and 95 mM Na<sub>2</sub>CO<sub>3</sub> for seven days, and were presented as means ± SE (<italic>n</italic> = 6). The different letters indicate significant differences (<italic>p</italic> &lt; 0.05). CPS, counts per second.</p></caption>
<graphic xlink:href="ijms-14-01740f4.gif"/></fig>
<fig id="f5-ijms-14-01740" position="float">
<label>Figure 5</label>
<caption>
<p>2-DE profiling of proteins extracted from <italic>P. tenuiflora</italic> leaves treated with different concentrations of Na<sub>2</sub>CO<sub>3</sub>. Gels A, B, and C are protein samples from leaves treated with 0, 38, and 95 mM Na<sub>2</sub>CO<sub>3</sub> 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 <xref ref-type="table" rid="t1-ijms-14-01740">Table 1</xref>.</p></caption>
<graphic xlink:href="ijms-14-01740f5.gif"/></fig>
<fig id="f6-ijms-14-01740" position="float">
<label>Figure 6</label>
<caption>
<p>Hierarchical clustering analysis of the expression profiles of the identified 43 proteins. The three columns represent different treatments, <italic>i.e.</italic>, 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.</p></caption>
<graphic xlink:href="ijms-14-01740f6.gif"/></fig>
<table-wrap id="t1-ijms-14-01740" position="float">
<label>Table 1</label>
<caption>
<p>Proteins and their relative changes in leaves from <italic>P.tenuiflora</italic> under Na<sub>2</sub>CO<sub>3</sub> treatment.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="center" valign="middle">Spot No. <xref ref-type="table-fn" rid="tfn1-ijms-14-01740">a</xref></th>
<th align="center" valign="middle">Protein name <xref ref-type="table-fn" rid="tfn2-ijms-14-01740">b</xref></th>
<th align="center" valign="middle">Plant species <xref ref-type="table-fn" rid="tfn3-ijms-14-01740">c</xref></th>
<th align="center" valign="middle">gi Number <xref ref-type="table-fn" rid="tfn4-ijms-14-01740">d</xref></th>
<th align="center" valign="middle">Thr. MW (Da)/pI <xref ref-type="table-fn" rid="tfn5-ijms-14-01740">e</xref></th>
<th align="center" valign="middle">Exp. MW (Da)/pI <xref ref-type="table-fn" rid="tfn5-ijms-14-01740">f</xref></th>
<th align="center" valign="middle">Sco <xref ref-type="table-fn" rid="tfn6-ijms-14-01740">g</xref></th>
<th align="center" valign="middle">Cov (%) <xref ref-type="table-fn" rid="tfn7-ijms-14-01740">h</xref></th>
<th align="center" valign="middle">QM <xref ref-type="table-fn" rid="tfn8-ijms-14-01740">i</xref></th>
<th align="center" valign="middle">V% ± SE <xref ref-type="table-fn" rid="tfn9-ijms-14-01740">j</xref><break/>0, 38, 95 mM Na<sub>2</sub>CO<sub>3</sub></th></tr></thead>
<tbody>
<tr>
<td align="center" valign="middle"/>
<td align="center" valign="middle"><bold>Photosynthesis (6)</bold></td>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/></tr>
<tr>
<td align="center" valign="middle">182</td>
<td align="center" valign="middle">carbonic anhydrase, chloroplast precursor (CA)</td>
<td align="center" valign="middle"><italic>Hordeum vulgare</italic></td>
<td align="center" valign="middle">729003</td>
<td align="center" valign="middle">35,736/8.93</td>
<td align="center" valign="middle">30,029/6.47</td>
<td align="center" valign="middle">125</td>
<td align="center" valign="middle">6</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">
<graphic xlink:href="ijms-14-01740f7.gif"/></td></tr>
<tr>
<td align="center" valign="middle">459</td>
<td align="center" valign="middle">Rubisco large subunit (Rubisco LSU)</td>
<td align="center" valign="middle"><italic>Tristachya leucothrix</italic></td>
<td align="center" valign="middle">125991685</td>
<td align="center" valign="middle">51,294/6.23</td>
<td align="center" valign="middle">64,412/5.71</td>
<td align="center" valign="middle">86</td>
<td align="center" valign="middle">19</td>
<td align="center" valign="middle">8</td>
<td align="center" valign="middle">
<graphic xlink:href="ijms-14-01740f8.gif"/></td></tr>
<tr>
<td align="center" valign="middle">240</td>
<td align="center" valign="middle">Rubisco large subunit (Rubisco LSU)</td>
<td align="center" valign="middle"><italic>Orobanche coerulescens</italic></td>
<td align="center" valign="middle">46410750</td>
<td align="center" valign="middle">47,410/6.45</td>
<td align="center" valign="middle">62,047/6.68</td>
<td align="center" valign="middle">176</td>
<td align="center" valign="middle">10</td>
<td align="center" valign="middle">4</td>
<td align="center" valign="middle">
<graphic xlink:href="ijms-14-01740f9.gif"/></td></tr>
<tr>
<td align="center" valign="middle">68</td>
<td align="center" valign="middle">Rubisco small subunit (Rubisco SSU)</td>
<td align="center" valign="middle"><italic>Avena sterilis subsp. ludoviciana</italic></td>
<td align="center" valign="middle">3790104</td>
<td align="center" valign="middle">19,030/8.29</td>
<td align="center" valign="middle">4088/5.98</td>
<td align="center" valign="middle">78</td>
<td align="center" valign="middle">9</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">
<graphic xlink:href="ijms-14-01740f10.gif"/></td></tr>
<tr>
<td align="center" valign="middle">368</td>
<td align="center" valign="middle">phosphoribulokinase (PRK), chloroplast precursor</td>
<td align="center" valign="middle"><italic>Oryza sativa</italic></td>
<td align="center" valign="middle">125578</td>
<td align="center" valign="middle">44,486</td>
<td align="center" valign="middle">53,645/5.08</td>
<td align="center" valign="middle">210</td>
<td align="center" valign="middle">14</td>
<td align="center" valign="middle">6</td>
<td align="center" valign="middle">
<graphic xlink:href="ijms-14-01740f11.gif"/></td></tr>
<tr>
<td align="center" valign="middle">318</td>
<td align="center" valign="middle">ferredoxin-thioredoxin reductase, variable chain (FTR)</td>
<td align="center" valign="middle"><italic>Zea mays</italic></td>
<td align="center" valign="middle">2498397</td>
<td align="center" valign="middle">10,937/5.69</td>
<td align="center" valign="middle">9350/5.63</td>
<td align="center" valign="middle">49</td>
<td align="center" valign="middle">14</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">
<graphic xlink:href="ijms-14-01740f12.gif"/></td></tr>
<tr>
<td align="center" valign="middle"/>
<td align="center" valign="middle"><bold>Stress and defense (4)</bold></td>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/></tr>
<tr>
<td align="center" valign="middle">224</td>
<td align="center" valign="middle">temperature stress-induced lipocalin (TIL)</td>
<td align="center" valign="middle"><italic>Triticum aestivum</italic></td>
<td align="center" valign="middle">18650668</td>
<td align="center" valign="middle">21,809/5.50</td>
<td align="center" valign="middle">19,791/5.42</td>
<td align="center" valign="middle">114</td>
<td align="center" valign="middle">7</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">
<graphic xlink:href="ijms-14-01740f13.gif"/></td></tr>
<tr>
<td align="center" valign="middle">185</td>
<td align="center" valign="middle">glyoxalase I (GLO)</td>
<td align="center" valign="middle"><italic>O. sativa (japonica cultivar-group)</italic></td>
<td align="center" valign="middle">16580747</td>
<td align="center" valign="middle">32,861/5.51</td>
<td align="center" valign="middle">44,631/5.27</td>
<td align="center" valign="middle">202</td>
<td align="center" valign="middle">15</td>
<td align="center" valign="middle">6</td>
<td align="center" valign="middle">
<graphic xlink:href="ijms-14-01740f14.gif"/></td></tr>
<tr>
<td align="center" valign="middle">170</td>
<td align="center" valign="middle">germin-like protein 1 (GLP)</td>
<td align="center" valign="middle"><italic>O. sativa</italic></td>
<td align="center" valign="middle">4239821</td>
<td align="center" valign="middle">22,017/6.01</td>
<td align="center" valign="middle">22,973/6.40</td>
<td align="center" valign="middle">84</td>
<td align="center" valign="middle">10</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">
<graphic xlink:href="ijms-14-01740f15.gif"/></td></tr>
<tr>
<td align="center" valign="middle">574</td>
<td align="center" valign="middle">aluminum-induced protein-like protein (AIPLP)</td>
<td align="center" valign="middle"><italic>Setaria italica</italic></td>
<td align="center" valign="middle">124263781</td>
<td align="center" valign="middle">27,004/6.05</td>
<td align="center" valign="middle">39,899/5.21</td>
<td align="center" valign="middle">114</td>
<td align="center" valign="middle">9</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">
<graphic xlink:href="ijms-14-01740f16.gif"/></td></tr>
<tr>
<td align="center" valign="middle"/>
<td align="center" valign="middle"><bold>Membrane and transport (3)</bold></td>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/></tr>
<tr>
<td align="center" valign="middle">133</td>
<td align="center" valign="middle">Os01g0233000, containing pfam05558 DREPP plasma membrane polypeptide domain (DREPP)</td>
<td align="center" valign="middle"><italic>O.sativa (japonica cultivar-group)</italic></td>
<td align="center" valign="middle">115435500</td>
<td align="center" valign="middle">21,788/4.92</td>
<td align="center" valign="middle">40,022/4.03</td>
<td align="center" valign="middle">89</td>
<td align="center" valign="middle">7</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">
<graphic xlink:href="ijms-14-01740f17.gif"/></td></tr>
<tr>
<td align="center" valign="middle">125</td>
<td align="center" valign="middle">Vacuolar-type H<sup>+</sup>-ATPase (V-ATPase)</td>
<td align="center" valign="middle"><italic>H. vulgare</italic></td>
<td align="center" valign="middle">2493132</td>
<td align="center" valign="middle">53,806/5.12</td>
<td align="center" valign="middle">42,714/6.71</td>
<td align="center" valign="middle">70</td>
<td align="center" valign="middle">3</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">
<graphic xlink:href="ijms-14-01740f18.gif"/></td></tr>
<tr>
<td align="center" valign="middle">370</td>
<td align="center" valign="middle">membrane-associated 30 kDa protein, chloroplast precursor (M30)</td>
<td align="center" valign="middle"><italic>Pisum sativum</italic></td>
<td align="center" valign="middle">729842</td>
<td align="center" valign="middle">35,709/9.30</td>
<td align="center" valign="middle">39,410/6.12</td>
<td align="center" valign="middle">80</td>
<td align="center" valign="middle">6</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">
<graphic xlink:href="ijms-14-01740f19.gif"/></td></tr>
<tr>
<td align="center" valign="middle"/>
<td align="center" valign="middle"><bold>Carbohydrate and energy metabolism (18)</bold></td>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/></tr>
<tr>
<td align="center" valign="middle">464</td>
<td align="center" valign="middle">Os08g0113100, containing cd01167 fructokinases (FRKs) domain</td>
<td align="center" valign="middle"><italic>O. sativa (japonica cultivar-group)</italic></td>
<td align="center" valign="middle">115474481</td>
<td align="center" valign="middle">35,893/5.02</td>
<td align="center" valign="middle">49,892/5.04</td>
<td align="center" valign="middle">127</td>
<td align="center" valign="middle">5</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">
<graphic xlink:href="ijms-14-01740f20.gif"/></td></tr>
<tr>
<td align="center" valign="middle">233</td>
<td align="center" valign="middle">putative fructose-bisphosphate aldolase (FBA)</td>
<td align="center" valign="middle"><italic>Phleum pratense</italic></td>
<td align="center" valign="middle">5419990</td>
<td align="center" valign="middle">25,028/7.79</td>
<td align="center" valign="middle">54,664/6.85</td>
<td align="center" valign="middle">132</td>
<td align="center" valign="middle">17</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">
<graphic xlink:href="ijms-14-01740f21.gif"/></td></tr>
<tr>
<td align="center" valign="middle">373</td>
<td align="center" valign="middle">cytoplasmic aldolase (ALD)</td>
<td align="center" valign="middle"><italic>O. sativa</italic></td>
<td align="center" valign="middle">218157</td>
<td align="center" valign="middle">39,151/6.56</td>
<td align="center" valign="middle">55,317/6.53</td>
<td align="center" valign="middle">226</td>
<td align="center" valign="middle">10</td>
<td align="center" valign="middle">7</td>
<td align="center" valign="middle">
<graphic xlink:href="ijms-14-01740f22.gif"/></td></tr>
<tr>
<td align="center" valign="middle">179</td>
<td align="center" valign="middle">triosephosphate isomerase, cytosolic (TIM)</td>
<td align="center" valign="middle"><italic>Secale cereale</italic></td>
<td align="center" valign="middle">1174749</td>
<td align="center" valign="middle">27,138/5.24</td>
<td align="center" valign="middle">35,657/5.43</td>
<td align="center" valign="middle">79</td>
<td align="center" valign="middle">13</td>
<td align="center" valign="middle">3</td>
<td align="center" valign="middle">
<graphic xlink:href="ijms-14-01740f23.gif"/></td></tr>
<tr>
<td align="center" valign="middle">384</td>
<td align="center" valign="middle">Os03g0129300, containing pfam00044 Gp_dh_N (GAPDH) domain</td>
<td align="center" valign="middle"><italic>O. sativa (japonica cultivar-group)</italic></td>
<td align="center" valign="middle">115450493</td>
<td align="center" valign="middle">47,537/6.22</td>
<td align="center" valign="middle">53,685/5.98</td>
<td align="center" valign="middle">239</td>
<td align="center" valign="middle">12</td>
<td align="center" valign="middle">8</td>
<td align="center" valign="middle">
<graphic xlink:href="ijms-14-01740f24.gif"/></td></tr>
<tr>
<td align="center" valign="middle">380</td>
<td align="center" valign="middle">phosphoglycerate kinase (PGK)</td>
<td align="center" valign="middle"><italic>Vitis vinifera</italic></td>
<td align="center" valign="middle">147843754</td>
<td align="center" valign="middle">42,510/6.29</td>
<td align="center" valign="middle">62,210/5.33</td>
<td align="center" valign="middle">137</td>
<td align="center" valign="middle">9</td>
<td align="center" valign="middle">3</td>
<td align="center" valign="middle">
<graphic xlink:href="ijms-14-01740f25.gif"/></td></tr>
<tr>
<td align="center" valign="middle">138</td>
<td align="center" valign="middle">enolase2</td>
<td align="center" valign="middle"><italic>Z. mays</italic></td>
<td align="center" valign="middle">162460735</td>
<td align="center" valign="middle">48,418/5.70</td>
<td align="center" valign="middle">66,697/5.4</td>
<td align="center" valign="middle">143</td>
<td align="center" valign="middle">10</td>
<td align="center" valign="middle">3</td>
<td align="center" valign="middle">
<graphic xlink:href="ijms-14-01740f26.gif"/></td></tr>
<tr>
<td align="center" valign="middle">184</td>
<td align="center" valign="middle">malate dehydrogenase, mitochondrial precursor (MDH)</td>
<td align="center" valign="middle"><italic>Citrullus lanatus var. lanatus</italic></td>
<td align="center" valign="middle">126896</td>
<td align="center" valign="middle">36,406/9.68</td>
<td align="center" valign="middle">50,177/6.54</td>
<td align="center" valign="middle">78</td>
<td align="center" valign="middle">3</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">
<graphic xlink:href="ijms-14-01740f27.gif"/></td></tr>
<tr>
<td align="center" valign="middle">408</td>
<td align="center" valign="middle">putative cytosolic 6-phosphogluconate dehydrogenase (6PGDH)</td>
<td align="center" valign="middle"><italic>Z. mays</italic></td>
<td align="center" valign="middle">3342802</td>
<td align="center" valign="middle">53,204/6.24</td>
<td align="center" valign="middle">63,107/5.65</td>
<td align="center" valign="middle">64</td>
<td align="center" valign="middle">4</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">
<graphic xlink:href="ijms-14-01740f28.gif"/></td></tr>
<tr>
<td align="center" valign="middle">79</td>
<td align="center" valign="middle">ATP synthase alpha (ATPase 1)</td>
<td align="center" valign="middle"><italic>T. aestivum</italic></td>
<td align="center" valign="middle">81176509</td>
<td align="center" valign="middle">55,557/5.70</td>
<td align="center" valign="middle">64,698/5.84</td>
<td align="center" valign="middle">361</td>
<td align="center" valign="middle">12</td>
<td align="center" valign="middle">4</td>
<td align="center" valign="middle">
<graphic xlink:href="ijms-14-01740f29.gif"/></td></tr>
<tr>
<td align="center" valign="middle">123</td>
<td align="center" valign="middle">ATP synthase alpha subunit (ATPase 1)</td>
<td align="center" valign="middle"><italic>T. aestivum</italic></td>
<td align="center" valign="middle">81176509</td>
<td align="center" valign="middle">55,557/5.70</td>
<td align="center" valign="middle">64,820/5.68</td>
<td align="center" valign="middle">207</td>
<td align="center" valign="middle">39</td>
<td align="center" valign="middle">19</td>
<td align="center" valign="middle">
<graphic xlink:href="ijms-14-01740f30.gif"/></td></tr>
<tr>
<td align="center" valign="middle">290</td>
<td align="center" valign="middle">ATP synthase alpha subunit (ATPase 1)</td>
<td align="center" valign="middle"><italic>Elymus sibiricus</italic></td>
<td align="center" valign="middle">51556908</td>
<td align="center" valign="middle">55,549/6.03</td>
<td align="center" valign="middle">66,615/6.26</td>
<td align="center" valign="middle">77</td>
<td align="center" valign="middle">20</td>
<td align="center" valign="middle">8</td>
<td align="center" valign="middle">
<graphic xlink:href="ijms-14-01740f31.gif"/></td></tr>
<tr>
<td align="center" valign="middle">284</td>
<td align="center" valign="middle">ATP synthase CF1 alpha subunit (ATP ase CF1)</td>
<td align="center" valign="middle"><italic>Agrostis stolonifera</italic></td>
<td align="center" valign="middle">118430299</td>
<td align="center" valign="middle">55,491/6.11</td>
<td align="center" valign="middle">66,044/5.8</td>
<td align="center" valign="middle">88</td>
<td align="center" valign="middle">24</td>
<td align="center" valign="middle">9</td>
<td align="center" valign="middle">
<graphic xlink:href="ijms-14-01740f32.gif"/></td></tr>
<tr>
<td align="center" valign="middle">105</td>
<td align="center" valign="middle">mitochondrial ATP synthase precursor (ATPase 1)</td>
<td align="center" valign="middle"><italic>T. aestivum</italic></td>
<td align="center" valign="middle">47607439</td>
<td align="center" valign="middle">27,090/7.71</td>
<td align="center" valign="middle">36,228/5.63</td>
<td align="center" valign="middle">62</td>
<td align="center" valign="middle">6</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">
<graphic xlink:href="ijms-14-01740f33.gif"/></td></tr>
<tr>
<td align="center" valign="middle">200</td>
<td align="center" valign="middle">Os12g0230100, containing two AAA ATPase family protein domain</td>
<td align="center" valign="middle"><italic>O. sativa (japonica cultivar-group)</italic></td>
<td align="center" valign="middle">115487910</td>
<td align="center" valign="middle">102,068/6.62</td>
<td align="center" valign="middle">78,280/5.74</td>
<td align="center" valign="middle">87</td>
<td align="center" valign="middle">16</td>
<td align="center" valign="middle">13</td>
<td align="center" valign="middle">
<graphic xlink:href="ijms-14-01740f34.gif"/></td></tr>
<tr>
<td align="center" valign="middle">202</td>
<td align="center" valign="middle">hypothetical protein OsI_036614, containing two AAA ATPase family protein domain</td>
<td align="center" valign="middle"><italic>O. sativa (indica cultivar-group)</italic></td>
<td align="center" valign="middle">125536167</td>
<td align="center" valign="middle">156,826/7.37</td>
<td align="center" valign="middle">77,750/5.52</td>
<td align="center" valign="middle">73</td>
<td align="center" valign="middle">4</td>
<td align="center" valign="middle">10</td>
<td align="center" valign="middle">
<graphic xlink:href="ijms-14-01740f35.gif"/></td></tr>
<tr>
<td align="center" valign="middle">186</td>
<td align="center" valign="middle">unnamed protein product, containing cd00009 the AAA, ATPases domain</td>
<td align="center" valign="middle"><italic>Vitis vinifera</italic></td>
<td align="center" valign="middle">157343871</td>
<td align="center" valign="middle">50,950/5.8</td>
<td align="center" valign="middle">78,076/5.68</td>
<td align="center" valign="middle">146</td>
<td align="center" valign="middle">37</td>
<td align="center" valign="middle">16</td>
<td align="center" valign="middle">
<graphic xlink:href="ijms-14-01740f36.gif"/></td></tr>
<tr>
<td align="center" valign="middle">247</td>
<td align="center" valign="middle">hypothetical protein OsI_023646, containing AAA, ATPases domain</td>
<td align="center" valign="middle"><italic>O. sativa (indica cultivar-group)</italic></td>
<td align="center" valign="middle">125556808</td>
<td align="center" valign="middle">64,173/5.65</td>
<td align="center" valign="middle">72,936/5.27</td>
<td align="center" valign="middle">74</td>
<td align="center" valign="middle">22</td>
<td align="center" valign="middle">12</td>
<td align="center" valign="middle">
<graphic xlink:href="ijms-14-01740f37.gif"/></td></tr>
<tr>
<td align="center" valign="middle"/>
<td align="center" valign="middle"><bold>Amino acid metabolism (2)</bold></td>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/></tr>
<tr>
<td align="center" valign="middle">349</td>
<td align="center" valign="middle">aspartate aminotransferase (AST)</td>
<td align="center" valign="middle"><italic>O. sativa</italic></td>
<td align="center" valign="middle">29468084</td>
<td align="center" valign="middle">46,016/5.90</td>
<td align="center" valign="middle">58,376/5.86</td>
<td align="center" valign="middle">375</td>
<td align="center" valign="middle">16</td>
<td align="center" valign="middle">7</td>
<td align="center" valign="middle">
<graphic xlink:href="ijms-14-01740f38.gif"/></td></tr>
<tr>
<td align="center" valign="middle">145</td>
<td align="center" valign="middle">methionine synthase (MS)</td>
<td align="center" valign="middle"><italic>H. vulgare subsp. vulgare</italic></td>
<td align="center" valign="middle">50897038</td>
<td align="center" valign="middle">84,794/5.68</td>
<td align="center" valign="middle">76,241/5.77</td>
<td align="center" valign="middle">112</td>
<td align="center" valign="middle">4</td>
<td align="center" valign="middle">3</td>
<td align="center" valign="middle">
<graphic xlink:href="ijms-14-01740f39.gif"/></td></tr>
<tr>
<td align="center" valign="middle"/>
<td align="center" valign="middle"><bold>Transcription related (1)</bold></td>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/></tr>
<tr>
<td align="center" valign="middle">121</td>
<td align="center" valign="middle">cp31BHv, containing cd00590 RNA recognition motif (RRM) domain</td>
<td align="center" valign="middle"><italic>H. vulgare subsp. vulgare</italic></td>
<td align="center" valign="middle">3550483</td>
<td align="center" valign="middle">30,662/4.76</td>
<td align="center" valign="middle">37,167/4.27</td>
<td align="center" valign="middle">115</td>
<td align="center" valign="middle">8</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">
<graphic xlink:href="ijms-14-01740f40.gif"/></td></tr>
<tr>
<td align="center" valign="middle"/>
<td align="center" valign="middle"><bold>Protein synthesis (2)</bold></td>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/></tr>
<tr>
<td align="center" valign="middle">333</td>
<td align="center" valign="middle">eukaryotic initiation factor 4A (IF4A)</td>
<td align="center" valign="middle"><italic>O. sativa (japonica cultivar-group)</italic></td>
<td align="center" valign="middle">303844</td>
<td align="center" valign="middle">47,187/5.29</td>
<td align="center" valign="middle">64,045/5.24</td>
<td align="center" valign="middle">166</td>
<td align="center" valign="middle">12</td>
<td align="center" valign="middle">3</td>
<td align="center" valign="middle">
<graphic xlink:href="ijms-14-01740f41.gif"/></td></tr>
<tr>
<td align="center" valign="middle">415</td>
<td align="center" valign="middle">Os07g0168000, containing cd00164 Ribosomal protein S1-like RNA-binding domain(RP)</td>
<td align="center" valign="middle"><italic>O. sativa (japonica cultivar-group)</italic></td>
<td align="center" valign="middle">115470767</td>
<td align="center" valign="middle">98,023/5.64</td>
<td align="center" valign="middle">79,993/5.15</td>
<td align="center" valign="middle">84</td>
<td align="center" valign="middle">3</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">
<graphic xlink:href="ijms-14-01740f42.gif"/></td></tr>
<tr>
<td align="center" valign="middle"/>
<td align="center" valign="middle"><bold>Protein folding and transporting (3)</bold></td>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/></tr>
<tr>
<td align="center" valign="middle">255</td>
<td align="center" valign="middle">peptidyl-prolyl cis-trans isomerase, chloroplast precursor (PPIase)</td>
<td align="center" valign="middle"><italic>Glycine max</italic></td>
<td align="center" valign="middle">9899901</td>
<td align="center" valign="middle">18,841/8.49</td>
<td align="center" valign="middle">17,018/6.69</td>
<td align="center" valign="middle">146</td>
<td align="center" valign="middle">19</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">
<graphic xlink:href="ijms-14-01740f43.gif"/></td></tr>
<tr>
<td align="center" valign="middle">263</td>
<td align="center" valign="middle">protein disulfide-isomerase precursor (PDI)</td>
<td align="center" valign="middle"><italic>Nicotiana tabacum</italic></td>
<td align="center" valign="middle">1848212</td>
<td align="center" valign="middle">40,082/5.99</td>
<td align="center" valign="middle">53,400/6.09</td>
<td align="center" valign="middle">92</td>
<td align="center" valign="middle">6</td>
<td align="center" valign="middle">3</td>
<td align="center" valign="middle">
<graphic xlink:href="ijms-14-01740f44.gif"/></td></tr>
<tr>
<td align="center" valign="middle">731</td>
<td align="center" valign="middle">putative SecA</td>
<td align="center" valign="middle"><italic>O. sativa (japonica cultivar-group)</italic></td>
<td align="center" valign="middle">52075758</td>
<td align="center" valign="middle">114,899/5.78</td>
<td align="center" valign="middle">80,931/5.62</td>
<td align="center" valign="middle">88</td>
<td align="center" valign="middle">11</td>
<td align="center" valign="middle">10</td>
<td align="center" valign="middle">
<graphic xlink:href="ijms-14-01740f45.gif"/></td></tr>
<tr>
<td align="center" valign="middle"/>
<td align="center" valign="middle"><bold>Protein degradation (3)</bold></td>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/></tr>
<tr>
<td align="center" valign="middle">455</td>
<td align="center" valign="middle">Os01g0811100, containing cd03751 proteasome alpha type 3 (Proteasome α3) domain</td>
<td align="center" valign="middle"><italic>O. sativa (japonica cultivar-group)</italic></td>
<td align="center" valign="middle">115440617</td>
<td align="center" valign="middle">27,506/5.75</td>
<td align="center" valign="middle">37,044/5.97</td>
<td align="center" valign="middle">107</td>
<td align="center" valign="middle">6</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">
<graphic xlink:href="ijms-14-01740f46.gif"/></td></tr>
<tr>
<td align="center" valign="middle">431</td>
<td align="center" valign="middle">unknown, containing cd03751 proteasome alpha type 3 (Proteasome α3) domain</td>
<td align="center" valign="middle"><italic>H. vulgare</italic></td>
<td align="center" valign="middle">117670154</td>
<td align="center" valign="middle">27,448/5.82</td>
<td align="center" valign="middle">18,201/5.05</td>
<td align="center" valign="middle">167</td>
<td align="center" valign="middle">15</td>
<td align="center" valign="middle">4</td>
<td align="center" valign="middle">
<graphic xlink:href="ijms-14-01740f47.gif"/></td></tr>
<tr>
<td align="center" valign="middle">197</td>
<td align="center" valign="middle">Os05g0573700, containing pfam07991 acetohydroxy acid isomeroreductase, catalytic domain (AAIR)</td>
<td align="center" valign="middle"><italic>O. sativa (japonica cultivar-group)</italic></td>
<td align="center" valign="middle">115465569</td>
<td align="center" valign="middle">62,680/6.01</td>
<td align="center" valign="middle">68,899/5.81</td>
<td align="center" valign="middle">254</td>
<td align="center" valign="middle">11</td>
<td align="center" valign="middle">6</td>
<td align="center" valign="middle">
<graphic xlink:href="ijms-14-01740f48.gif"/></td></tr>
<tr>
<td align="center" valign="middle"/>
<td align="center" valign="middle"><bold>Signaling (1)</bold></td>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/>
<td align="center" valign="middle"/></tr>
<tr>
<td align="center" valign="middle">334</td>
<td align="center" valign="middle">plant adhesion molecule PAM1</td>
<td align="center" valign="middle"><italic>Arabidopsis thaliana</italic></td>
<td align="center" valign="middle">22531279</td>
<td align="center" valign="middle">34,306/8.80</td>
<td align="center" valign="middle">12,776/5.27</td>
<td align="center" valign="middle">74</td>
<td align="center" valign="middle">17</td>
<td align="center" valign="middle">6</td>
<td align="center" valign="middle">
<graphic xlink:href="ijms-14-01740f49.gif"/></td></tr></tbody></table>
<table-wrap-foot><fn id="tfn1-ijms-14-01740">
<label>a</label>
<p>Assigned spot number as indicated in <xref ref-type="fig" rid="f5-ijms-14-01740">Figure 5</xref>;</p></fn><fn id="tfn2-ijms-14-01740">
<label>b</label>
<p>The name and functional categories of the proteins identified using LC ESI Q-TOF MS/MS;</p></fn><fn id="tfn3-ijms-14-01740">
<label>c</label>
<p>The plant species that the peptides matched to;</p></fn><fn id="tfn4-ijms-14-01740">
<label>d</label>
<p>Database accession numbers from NCBInr;</p></fn><fn id="tfn5-ijms-14-01740">
<label>e, f</label>
<p>Theoretical (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;</p></fn><fn id="tfn6-ijms-14-01740">
<label>g</label>
<p>The amino acid sequence coverage for the identified proteins;</p></fn><fn id="tfn7-ijms-14-01740">
<label>h</label>
<p>The Mascot score obtained after searching against the NCBInr database;</p></fn><fn id="tfn8-ijms-14-01740">
<label>i</label>
<p>The number of unique peptides identified for each protein;</p></fn><fn id="tfn9-ijms-14-01740">
<label>j</label>
<p>The mean values of protein spot volumes relative to total volume of all the spots. Three Na<sub>2</sub>CO<sub>3</sub> treatments (0 mM, 38 mM, 95 mM) were performed. Error bars indicate ± standard error (SE).</p></fn></table-wrap-foot></table-wrap></sec></back></article>
