Abstract
Background:
Salinity is a major environmental limiting factor, which affect agricultural production. The two Manilkara seedlings (M. roxburghiana and M. zapota) with high economic importance, could not adapt well to higher soil salinity and little is known about their proteomic mechanisms.
Objectives:
The mechanisms responsible for the effects of salinity on the two Manilkara species leaves were examined by means of proteomic analysis.
Material and Methods:
The seedlings were cultivated in a greenhouse and treated with NaCl. Leaves of control and the salt-stressed seedlings were sampled for phenol protein extraction. Proteins were separated by two-dimensional gel electrophoresis coupled with mass spectroscopy to study the change of proteins under different NaCl concentration.
Results:
For M. roxburghiana leaves, 21 protein spots exhibited significant abundance variations between the control and the 6‰, 8‰ NaCl treatments, of these 13 proteins were identified. They included L-ascorbate peroxidase, chloroplast carbonic anhydrase, phosphoglycerate kinase, 5 heat-shock proteins(HSPs) which were all down- regulated; For M. zapota leaves, 35 protein spots exhibited significant abundance variations, then 24 proteins were identified, including 7 down-regulated HSPs as well as glyceraldehyde-3-phosphate dehydrogenase, Cell division protein, putative mitochondrial NAD-dependent malate dehydrogenase, ATP synthase, Rubisco large subunit-binding protein, Cytochrome c peroxidase.
Conclusions:
Based on the common identified proteins between the two M. species, our results indicated that the identificated proteins in the two Manilkara species were involved in carbohydrate metabolism, photosynthesis, defense and stress. HSPs exhibited variation strictly related to NaCl stress. The down-regulated HSPs meant the function to repair cells that have suffered damage weaken during stress process. Furthermore, except for HSP70 in M. zapota leaves, the HSPs in the two species were all small heat shock proteins (sHSPs) with molecular weights ranging from 15 to 42 kDa.
Keywords: 2-DE, MS, Manilkara roxburghiana, Manilkara zapota
1. Background
Salinity is a major environmental limiting factor which affect agricultural production. The majority of tropical fruit trees are salt sensitive and unable to adapt to soil salinity which result in economic losses and ecological destruction. As a result, there is strong interest in studying the physiological response or mechanisms of salinity tolerance in plants ( 1 , 2 ). However, we know little about the main mechanisms about their lifecycle of plants under salinity stress ( 3 ). Significant progress has been made in understanding the mechanism at the cellular levels when plants are subjected to high salinity ( 4 ).
Comparative proteomics research on various plant species such as rice, wheat etc ( 5 , 6 ) had been conducted to understand the molecular mechanism of plant response to stress. Three salt stress-responsive proteins in rice were identified by 2-DE (two-dimensional gel electrophoresis) and MS (mass spectroscopy) analysis found PvPR1 and PvPR2 specific protein in bean were induced under Cu stress ( 7 ). Ping Wang et al firstly reported Gossypium hirsutum parvulin-type PPlases involved in the salt stress response ( 8 ).
The two Manilkara species (M. roxburghiana and M. zapota), which natural habitat was tropical area such as Cuba or Brazil, are excellent tropical fruit trees not only for food but also for enjoy. They were introduced from Brazil to Xiamen overseas Chinese subtropical plant introduction garden (Xiamen city, Fujian provice, China) in 1996. Now they grow and reproduce well in Xiamen city (24.26 N, 118.04E). The adaptability, biology characteristics, physiological characteristics and propagation techniques were already investigated in our previous study ( 9 ). However, the two 3-year-old Manilkara species seedlings showed salt injury on external characteristics under certain NaCl concentration and knowledge of proteomic analysis under NaCl were still limited. Here, differences in expression levels in the proteome of the two Manilkara species among different NaCl content treatment were examined.
2. Objectives
The mechanisms responsible for the effects of salinity on the two Manilkara species leaves were examined by means of proteomic analysis. This work further facilitates process of the biochemical mechanisms of their tolerance to NaCl stress on the impact of protein spectrum.
3. Materials and Methods
3.1. Plant Materials and Growth Conditions
M. roxburghiana seedlings grew in a greenhouse under a light/dark regime of 14/10 h at 28–30°C, and relative humidity between 70–80%. The 3-year-old seedlings were then treated respectively with 0 (control), 0.2% 0.4%, 0.6%, 0.8% NaCl for a period (2009.12.21-- 2010.06.16). The seedlings which were under 0.6%, 0.8% NaCl stress showed visible injury. The mature leaves were carefully collected and immersed into liquid nitrogen, and stored at -80 ºC.
3.2. Protein Sample Preparation
Leaf samples (1g) of control and NaCl-treated plants were grounded in liquid nitrogen and homogenized in an extraction buffer containing 100 mg PVPP. The homogenate was suspended in 4 ml ice-cold phenol extraction buffer (0.7M sucrose; 0.1M KCl; 50mM EDTA, 0.5M Tris–HCl, 1% (w/v) DTT, pH 7.5; complete protease inhibitor cocktail (Roche Applied Science)) and immediately added 4 ml ice-cold Tris buffered phenol and vortexed for 10 min. After centrifugation (30 min, 3354 ×g, 4 ℃) the phenolic phase was collected and the sample was re-extracted， then vortexed for 10 min and repeated twice. The supernatant was removed and the pellet was rinsed twice in ice-cold acetone/0.2% DTT. The sample was incubated for 60 min at −20 ℃ and then air-dried. Protein concentration was determined by standard Bradford assay using bovine serum albumin as standard ( 10 ).
3.3. Two-dimensional Gel Electrophoresis (2-DE) Analysis
Protein (1mg) was subjected to IEF using an IPGphor III system (Gelifescience, Xiamen, China) with 24 cm IPG strips (Immobiline Drystrip™, pH 4–7) and then resolved on a 12.5% slab gel with SDS- PAGEl. The gel was overlaid with 0.5% agarose (dissolved in running buffer containing bromophenol blue) and 2-DE was run using an Ettan DALTsix Vertical System (Gelifescience, USA) at 1 W/gel for 30 min, and then at 15 W/gel until the dye front reached the bottom of the gel. IEF was carried out as Wang ( 11 ).
3.4. Protein Visualization，MS Analysis and Quantification
After 2-DE, gels were scanned using a PowerLook1100 scanner (UMAX). After scanning, the protein spots were quantified using the vol. %. Those with 2 fold changes (p < 0.05) were considered to be differentially accumulated proteins in relative abundance in NaCl-treated plants compared to control. The significant spots were manually excised from silver stained 2-DE gels and digested with trypsin using a Spot Handling Workstation (100 μg protein per gel was added 12.5 ng Trypsin). Tubes containing the gel pieces were then placed into an air circulation incubator at 37 °C for 12 h. Trypsin digestion was carried out as Wang ( 11 ). After gel digestion, 1.4 L peptide solution was mixed with 0.4 L matrix in 30% acetonitrile (CAN) and 0.1% trifluoroacetic acid (TFA) before spotting onto the target plate. MALDI-TOF and tandem TOF/TOF MS were then carried out using an AB SCIEX MALDI TOF-TOF™ 5800 Analyzer.
3.5. Peptide and Protein Identification by Database Search
Proteins were identified by searching against a comprehensive non-redundant sequence database used for database searching by MASCOT software search engine ( 12 ). The identification was mostly considered to be correct at a > 100% confidence interval for the protein score.
4. Results
4.1. Proteomic Analysis of Proteins in the Two Manilkara Species Leaves
Protein spots showing at least a 2 -fold difference in abundance between control and treatments were selected and excised manually. The selection of a 2-fold change as an arbitrary threshold allowed us to focus on the most responsive proteins for subsequent characterization (shown in Fig. 1).
Figure 1.
Comparison of 2-DE maps of the two Manilkara species leaves under NaCl stress. A1, A2, A3 were 2-DE maps of M. roxburghiana under 0, 0.6%, 0.8% NaCl stress respectively and the B1, B2, B3 were maps of M. zapota under 0, 0.6%, 0.8% NaCl stress respectively.
The pH 4-7 immobiline pH gradients were used to separate the different proteins under NaCl stress by IEF-SDS-PAGE comparing the control and the treatments under four different NaCl concentrations, and then the proteins in electrophoretogram were detected by the software of Image Master TM 2D Platinum. For M. roxburghiana leaves, the electrophoretograms were similar in all which meaned the stability of proteins, but each of 3 ones had specificity in detail. 783 spots were detected in the map of A1. 925 spots in A2, and 1158 spots in A3. The similarity between the control and the others was 72.21% (A2 and A1), 65.84% (A3 and A1) in turn. The quantitative analysis of proteins revealed that a total of 21 proteins showed a more than 2 fold differences in expression values in the 3 stage of leaves. Of these, 18 proteins spots (spot 2-15, 18-21) showed a decrease in abundance. The abundance of spot 1, 16, 17 increased.
For M. zapota leaves, the electrophoretograms were similar in all which meaned the stability of proteins, but each of 3 ones had specificity in detail. 1746 were detected in the map of B1, 1947 in B2, and 1997 in B3. The similarity between the control and the others was 57.62% (B2＆B1), 58.83% (B3＆B1) in turn. The quantitative analysis of proteins revealed that a total of 35 proteins showed a more than 2 fold differences in expression values in the 5 stage of leaves. Of these, 20 proteins spots (spot 10-25, 32-35) showed a decrease in abundance. The abundance of spot 1-9, 26-31 spots increased. For the two Manilkara species, the difference in spot numbers was mainly due to different species.
4.2. Indetification of Differentially Expressed Proteins of the Two Manilkara Species
For M. roxburghiana leaves, these 21 protein spots were subjected to identification by MALDI-TOF- TOF/MS and protein sequencing. Some of these proteins had no MS/MS data. Their theoretical MW and pI did not fit well to the experimental ones though they could be identified by PMF data. Their identities need to be further confirmed. Thus, a total of 13 were identificated (Tab.1) .They were phosphoglycerate kinase correlating carbohydrate metabolism, chloroplast carbonic anhydrase involved in photosynthesis, L-ascorbate peroxidase correlating anti- oxidation, 5 HSPs relating to defense and stress (Spot No.3,5-8) and 5 unknown proteins. They all were down-regulated except for Spot No.1 (predicted protein). The method was adopted as much for M. zapota leaves, 35 protein spots were subjected to identification and as a result a total of 24 were identificated (Tab.2), They were cell division protein ftsH, ATP synthase, ankyrin-repeat protein relating to binding, 2 peptidyl-prolyl cis-trans isomerase, 3 Rubisco involved in photosynthesis, putative mitochondrialNAD-dependentmalate dehydrogenase, glyceraldehyde-3-phosphate dehydrogenase which related to carbohydrate metabolism and 7 HSPs (Spot No.10-11, 18, 21, 24-25,35) which had defense and stress function, Cytochrome C Peroxidase which was antioxidant and 5 unknown proteins. Within the identificated proteins, the cell division protein ftsH, 2 Rubisco, ATP synthase CF1 alpha subunit and all HSPs were down- regulated. The low numbers of identified protein and differentially expressed protein were partly caused by experiment skills which should be improved.
Table 1.
Identification of differentially expressed proteins of M. roxburghiana leaves under NaCl stress by MALDI-TOF-TOF /MS
| Spot No. | Protein name | Species | Accession No. NCBI | Protein MW | Protein PI | Score |
|---|---|---|---|---|---|---|
| 1 | Predicted protein | Populus trichocarpa | gi|224132044 | 18321 | 5.31 | 101 |
| 3 | HSP 18.2 | Arabidopsis thaliana | gi|15238509 | 18223 | 6.77 | 79 |
| 4 | Predicted protein | Populus trichocarpa | gi|224132044 | 18321 | 5.31 | 100 |
| 5 | HSP 22.5 | Ricinus communis | gi|255558872 | 22520.6 | 8.76 | 209 |
| 6 | HSP 15.9 (type 2 Cytosolic class I) | Rhododendron rubropilosum | gi|283482280 | 15931.2 | 5.22 | 147 |
| 7 | HSP19 (class II) | Citrus x paradisi | gi|30575570 | 19111 | 8.01 | 138 |
| 8 | HSP17.5 (Cytosolic class II) | Rosa hybrid cultivar | gi|140083605 | 17571.2 | 5.95 | 182 |
| 9 | Predicted protein | Populus trichocarpa | gi|224132044 | 18321 | 5.31 | 100 |
| 13 | L-ascorbate peroxidase | Bruguiera gymnorhiza | gi|289467897 | 27391 | 5.65 | 168 |
| 14 | Chloroplast carbonic anhydrase | Pachysandra terminalis | gi|112292669 | 35635 | 6.46 | 133 |
| 15 | Hypothetical protein | Vitis vinifera | gi|225452452 | 36920.8 | 8.06 | 173 |
| 18 | Unnamed protein product | Pisum sativum | gi|20733 | 48079.8 | 7.7 | 195 |
| 19 | Phosphoglycerate kinase | Ricinus communis | gi|255544584 | 50114 | 8.74 | 823 |
Table 2.
Identification of differentially expressed proteins of M. zapota leaves under NaCl stress by MALDI-TOF-TOF /MS
| SpotNo. | Protein name | Regulated circumstances | Species | Accession No. NCBI | Protei MW | Protei PI | Score |
|---|---|---|---|---|---|---|---|
| 1 | Glyceraldehyde-3-phosphate dehydrogenase | up-regulated | Vicia sativa | gi|296784038 | 40824 | 8.56 | 96 |
| 2 | Ribulosebisphosphate carboxylase/oxygenase activase, chloroplastic | up-regulated | Cucumis sativus | gi|266893 | 45909 | 7.57 | 152 |
| 3 | Putative ankyrin-repeat protein | up-regulated | Vitis aestivalis | gi|37625031 | 38089 | 4.53 | 159 |
| 4 | Peptidyl-prolyl cis-trans isomerase CYP38 | up-regulated | Arabidopsis thaliana | gi|186509663 | 39344 | 6.08 | 162 |
| 5 | Hypothetical protein OsJ_20703 | up-regulated | Oryza sativa Japonica Group | gi|222635252 | 42622 | 6.20 | 207 |
| 7 | Cytochrome c peroxidase, mitochondrial precursor, putative | up-regulated | Ricinus communis | gi|255558656 | 40989 | 7.70 | 94 |
| 9 | Hypotheticalprotein SELMODRAFT_407197 | up-regulated | Selaginellamoellendorffii | gi|302765154 | 22539 | 9.71 | 76 |
| 10 | Chloroplast heat shock protein 70-1 | down-regulated | Arabidopsis thaliana | gi|15233779 | 76575 | 5.07 | 245 |
| 11 | Heat shock protein 70 | down-regulated | Arabidopsis thaliana | gi|6746592 | 77230 | 5.13 | 249 |
| 12 | Unknown | down-regulated | Picea sitchensis | gi|148910696 | 71665 | 5.07 | 222 |
| 13 | Cell division protein ftsH, putative | down-regulated | Ricinus communis | gi|255558698 | 75504 | 6.43 | 271 |
| 14 | Rubisco large subunit-binding protein subunit alpha, chloroplastic CPN-60 alpha） | down-regulated | Brassica napus | gi|1351030 | 57714 | 4.84 | 166 |
| 15 | Rubisco large subunit-binding protein subunit alpha, chloroplastic CPN-60 alpha） | down-regulated | Brassica napus | gi|1351030 | 57714 | 4.84 | 90 |
| 17 | Unnamed protein product | down-regulated | Vitis vinifera | gi|296090101 | 21562 | 7.00 | 169 |
| 18 | Class I heat shock protein | down-regulated | Kandelia candel | gi|32401095 | 15250 | 5.58 | 121 |
| 21 | 17.7 kDa heat shock protein | down-regulated | Helianthus annuus | gi|1235898 | 17662 | 6.19 | 89 |
| 24 | HSP19 class II | down-regulated | Citrus x paradise | gi|30575570 | 19111 | 8.01 | 120 |
| 25 | HSP19 class II | down-regulated | Citrus x paradise | gi|30575570 | 19111 | 8.01 | 136 |
| 26 | Chloroplast ribosomal protein S1 | up-regulated | Cucumis sativus | gi|117662841 | 10410 | 6.43 | 118 |
| 27 | Peptidyl-prolyl cis-trans isomerase, putative | up-regulated | Ricinus communis | gi|255552604 | 51547 | 4.97 | 84 |
| 29 | Putative mitochondrial NAD-dependent malate dehydrogenase | up-regulated | Solanumtuberosum | gi|21388550 | 36429 | 8.48 | 230 |
| 32 | Unknown | down-regulated | Populustrichocarpa | gi|118488171 | 92819 | 5.36 | 195 |
| 33 | ATP synthase CF1 alpha subunit | down-regulated | Hydrocotyle sp. SRD-2010 | gi|340034097 | 55938 | 5.35 | 298 |
| 35 | HSP19 class II | down-regulated | Citrus x paradise | gi|30575570 | 19111 | 8.01 | 97 |
4.3. Functional Classification of Relevant Proteins under NaCl Stress
For M. roxburghiana leaves, the successfully identified protein spots were grouped according to the biological process (Fig. 2). The identified proteins fall into 4 functional categories including defense and stress (6 spots, 46%), photosynthesis (1 spot, 8%), carbohydrate metabolism (1 spot, 8%) and unknown (5 spots, 38%). While for M. zapota leaves, the 5 functional categories including defense and stress (10 spots, 42%), photosynthesis (4 spots, 16%), carbohydrate metabolism (2 spots, 8%), bingding (3 spots, 13%) and unknown (5 spots, 21%).
Figure 2.
Functional categories and percentage in each functional category of identified protein spots differentially expressed in the two Manilkaraspecies leaves under NaCl stress. A：M. roxburghiana; B：M. zapota
4.4. The common of Identified Proteins Between the Two Manilkara Species
Thecommonidentified proteins between the two M. species were HSP, peroxidase and chloroplast protein (Tab 3. the unknown or hypothetical proteins were not listed). The common was as followed: Firstly, except for cell division protein ftsH in M. zapota leaves relating to binding, the proteins were involved in carbohydrate metabolism, photosynthesis, defense and stress. Secondly, all the proteins related to defense and stress were HSPs and most of the HSPs were sHSPs (15-42KDa). About the category of defense and stress, there were 5 HSP besides L-ascorbate peroxidase in M. roxburghiana leaves and 7 HSP besides Cytochrome c peroxidase in M. zapota leaves. The percentage of sHSP in HSP were 100% in M. roxburghiana leaves while 71% in M. zapota leaves (the others were HSP70). These results indicated that HSPs especially sHSPs exhibited variation strictly related to the M. species under NaCl stress.
Table 3.
The contrast of identified proteins between the two Manilkara species
| M. roxburghiana | M. zapota | ||||
|---|---|---|---|---|---|
| Protein name | Spot No. | Regulated circumstances | Protein name | Spot No. | Regulated circumstances |
| HSP 18.2 | 3 | down-regulated | Glyceraldehyde-3-phosphate enasecarbohydrate metabolism | 1 | up-regulated |
| HSP 22.5 | 5 | down-regulated | Rubisco | 2 | up-regulated |
| HSP 15.9 | 6 | down-regulated | Ankyrin-repeat protein binding | 3 | up-regulated |
| HSP19 | 7 | down-regulated | Peptidyl-prolyl cis-trans isomerase CYP38 | 4 | up-regulated |
| HSP17.5 | 8 | down-regulated | Cytochrome c peroxidase | 7 | up-regulated |
| L-ascorbate peroxidase | 13 | down-regulated | HSP 70 | 10 | down-regulated |
| Chloroplast carbonic anhydrase | 14 | down-regulated | HSP 70 | 11 | down-regulated |
| Phosphoglycerate kinasehydrate metabolism | 19 | down-regulated | Cell division protein ftsH binding | 13 | down-regulated |
| - | - | - | Rubisco | 14 | down-regulated |
| - | - | - | Rubisco | 15 | down-regulated |
| - | - | - | HSP15.3 | 18 | down-regulated |
| - | - | - | HSP17.7 | 21 | down-regulated |
| - | - | - | HSP19 | 24 | down-regulated |
| - | - | - | HSP19 | 25 | down-regulated |
| - | - | - | Chloroplast ribosomal protein S1 | 26 | up-regulated |
| - | - | - | Peptidyl-prolyl cis-trans isomerase | 27 | up-regulated |
| - | - | - | NAD-dependent malate dehydrogenase carbohydrate metabolism | 29 | up-regulated |
| - | - | - | ATP synthase CF1 alpha subunit | 33 | down-regulated |
| - | - | - | HSP19 | 35 | down-regulated |
5. Discussion
5.1. Photosynthesis Related Proteins
The protein spots involved in photosynthesis was 8% (chloroplast carbonic anhydrase) for M. roxburghiana and 16% for M. zapota (chloroplast ribosomal protein S1, 3 Rubisco). Among these photosynthesis related proteins, chloroplast ribosomal protein and 1 Rubisco were up-regulated, the others were down-regulated.
Chloroplast carbonic anhydrase was reported to be associated with a Calvin cycle enzyme complex in Nicotiana tabacum ( 13 ). Studying on how wheat chloroplasts proteins respond to salt stress could be identified as marker proteins ( 14 ). The chlorophyll synthesis in the two Manilkara species was obviously restricted under 0.6%, 0.8% NaCl stress ( 10 ). Chloroplast carbonic anhydrase evidently correlated with the drop of photosynthesis for M. roxburghiana. Manaa et al (14) studied two contrasting tomato genotypes seedlings cultivated under 0, 100 and 200 mM NaCl stress and found that some proteins related to the degree of genotype tolerance. The up-regulation of Rubisco activases and Rubisco large subunit was correlated with an increase in abundance level of proteins which are involved in energy metabolism (Malate dehydrogenase,Glucose-6-phosphate dehydrogenase, pyruvate dehydrogenase), especially in salt-tolerant genotype.
In the result that silicon nutrition and mycorrhizal inoculations improved growth, nutrient status, K+/Na+ ratio and yield of Cicer arietinum L. genotypes under salinity stress also showed that the Rubisco activity increased ( 15 ). As Miranda et al ( 16 ) report, the improved tolerance to salinity stress in Sorghum bicolor plants was strongly correlated with the higher instantaneous carboxylation efficiency of Rubisco. As for M. zapota, it was Rubisco in indentificated proteins may correlate with the drop of photosynthesis.
5.2. Defense and Stress Related Proteins
HSPs play important roles in protecting plants against environmental stresses ( 17 ). They were generally divided into five conserved groups (HSPs, HSP60, HSP70, HSP90, HSP100) according to molecular mass ( 18 ). sHSPs are the most ubiquitous HSP subgroup with molecular weights ranging from 15 to 42 kDa ( 19 ), which play an important role in growth, defense and stress resistance ( 20 ). Under NaCl stress, all nine ThsHSPs genes were up-regulated at least one stress time-point in both roots and leaves of Tamaris hispida ( 21 ). DcHsp17.7 performs molecular chaperone activity in salt-stressed transgenic E. coli, and is involved in tolerance to salinity stresses ( 22 ). Overexpression of alfalfa mitochondrial HSP23 in prokaryotic and eukaryotic model systems confers enhanced tolerance to salinity stress ( 23 ). The two species shared in common to the highly conservative nonspecific HSPs kept down-regulating under the environmental stress. The degradation of HSPs showed that the defense function weakened with the increment of salinity. These results indicated that small HSPs (sHSPs) exhibited variation strictly related to NaCl stress.
The peptidyl-prolyl cis-trans isomerase (PPIase) is important for response to high concentrations of NaCl ( 24 ) and played important roles in a variety of stress responsiveness. The purified recombinant G. hirsutum peptidyl-prolyl isomerase (GhPPI) could accelerate the initial velocity of the cis-trans conversion of peptidyl- prolyl bonds of a tetrapeptide in a GhPPI concentration- dependent manner. Recombinant GhPPI also suppressed protein aggregation under denaturing conditions ( 8 ).
5.3. Carbon Metabolism Related Proteins and Other Proteins
Phosphoglycerate kinase (PGK) is involved in carbon fixation, following Rubisco as the next enzymatic step in the Calvin Cycle.
The expression of PGK under NaCl stress is different for different plants. Expression of major photosynthetic and salt-resistance genes in invasive reed lineages grown under elevated CO2 and temperature showed that at 20‰ salinity, most genes were higher expressed in the future than in the ambient climatic conditions. However, the expression of PGK was not negatively affected by the salt treatment ( 25 ).
The analysis of salt-responsive proteins has indicated that changes in time-dependent expression of specific proteins occurs following salinization. Of the proteins identified, expression analysis identified only PGK altered specifically within 24 h ( 26 ).
The phosphoglycerate kinase (PGK) for M. roxburghiana was down-regulated, while the glyceraldehyde-3-phosphate dehydrogenase and NAD- dependent malate dehydrogenase for M. zapota were up-regulated. Compared to M. roxburghiana, M. zapota had more identificated proteins relating to binding. Such as cell division protein ftsH, ATP synthase and ankyrin-repeat protein. Among those, cell division protein ftsH and ATP synthase were down-regulated, while ankyrin-repeat protein was up-regulated, under NaCl stress. The unknown proteins were regretfully comparatively large percent perhaps for the test technology.
5.4. Correlation between Molecular Characteristics Including Protein Expression and Apparent Characteristics
In our previous study, while the seedlings of two Manilkara species were under 0.6%, 0.8% NaCl stress, the leaves showed harm. The chlorophyll synthesis was obviously restricted. The contents of proline or soluble protein were higher than those of the control. In this paper, the HSPs were down-regulated in leaves under 0.6%, 0.8% NaCl stress. This result proved the correlation between the apparent characteristics and physiological change.
6. Conclusions
The mechanisms responsible for the effects of salinity on the two Manilkara species leaves were examined by means of proteomic analysis. In this study, we successfully identified proteins in the two M. species leaves that might be related to NaCl resistance. 2-DE coupled MS were applied to identify differentially expressed proteins resistant to NaCl. The identificated proteins in the two M. species were involved in carbohydrate metabolism, photosynthesis, defense and stress. All the proteins related to defense and stress were HSPs and most of the HSPs were sHSPs. The sHSPs down-regulated during stress process may be responsible for two M. species relative to NaCl stress. These findings suggested that the identified proteins are providing important information for plant breeders to develop the seeding resistant to NaCl.
Acknowledgement
This work was supported by Xiamen Research Fund (project number 3502Z20092023, 3502Z20182009), State Key Laboratory of Marine Environmental. Plant Introduction & Quarantine and Plant Product Key Laboratory of Xiamen City.
References
- 1.Huma T, Shaheen T, Asghar A, Nurjis F, Khan AS, Mukhtar Z. Expression of Synthetic hsr1 Gene in Transgenic Tobacco (Nicotiana tabacum) for Enhanced Tolerance to Drought and Salt Stresses. Int J Agricult Biol. 2015;17(05):1031–1036. doi: 10.17957/ijab/15.0013. [DOI] [Google Scholar]
- 2.Youxiong Q, Jinxian L, Liping X, Jinrong G, Jingsheng X, Rukai C. Molecular cloning and characterization of a cytoplasmic cyclophilin gene in sugarcane. Afr J Biotechnol. 2011;10(42):8213–8222. doi: 10.5897/ajb10.2661. [DOI] [Google Scholar]
- 3.Vera-Estrella R, Barkla BJ, Pantoja O. Comparative 2D- DIGE analysis of salinity responsive microsomal proteins from leaves of salt-sensitive Arabidopsis thaliana and salt-tolerant Thellungiella salsuginea. J Proteomics. 2014;111:113–127. doi: 10.1016/j.jprot.2014.05.018. [DOI] [PubMed] [Google Scholar]
- 4.Chen F, Zhang S, Jiang H, Ma W, Korpelainen H, Li C. Comparative proteomics analysis of salt response reveals sex-related photosynthetic inhibition by salinity in Populus cathayana cuttings. J Proteome Res. 2011;10(9):3944–3958. doi: 10.1021/pr200535r. [DOI] [PubMed] [Google Scholar]
- 5.Bovet L, Eggmann T, Meylan-Bettex M, Polier J, Kammer P, Marin E, et al. Transcript levels of AtMRPs after cadmium treatment: induction of AtMRP3. Plant Cell Environ. 2003;26(3):371–381. doi: 10.1046/j.1365-3040.2003.00968.x. [DOI] [Google Scholar]
- 6.Salekdeh GH, Siopongco J, Wade LJ, Ghareyazie B, Bennett J. A proteomic approach to analyzing drought- and salt-responsiveness in rice. Field Crops Res. 2002;76(2-3):199–219. doi: 10.1016/s0378-4290(02)00040-0. [DOI] [Google Scholar]
- 7.Cuypers A, Koistinen KM, Kokko H, Karenlampi S, Auriola S, Vangronsveld J. Analysis of bean (Phaseolus vulgaris L. ) proteins affected by copper stress. J Plant Physiol2005;162(4):383–392. doi: 10.1016/j.jplph.2004.07.018. [DOI] [PubMed] [Google Scholar]
- 8.Wang P, Li XZ, Cui HR, Feng YG, Wang XY. Identification and functional analysis of a novel parvulin-type peptidyl-prolyl isomerase from Gossypium hirsutum. Plant Physiol Biochem. 2014;76:58–66. doi: 10.1016/j.plaphy.2013.12.020. [DOI] [PubMed] [Google Scholar]
- 9.Wang J-L, Ciren Y, Daci Z, Wang Z-H. Character evolution and branch classification of Brassica juncea (L.) Czern. et Coss. Chin J Eco-Agricult. 2011;19(1):110–119. doi: 10.3724/sp.j.1011.2011.00110. [DOI] [Google Scholar]
- 10.Bah AM, Sun H, Chen F, Zhou J, Dai H, Zhang G, et al. Comparative proteomic analysis of Typha angustifolia leaf under chromium, cadmium and lead stress. J Hazard Mater. 2010;184(1-3):191–203. doi: 10.1016/j.jhazmat.2010.08.023. [DOI] [PubMed] [Google Scholar]
- 11.Wang DZ, Gao Y, Lin L, Hong HS. Comparative proteomic analysis reveals proteins putatively involved in toxin biosynthesis in the marine dinoflagellate Alexandrium catenella. Mar Drugs. 2013;11(1):213– 232. doi: 10.3390/md11010213. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Matrix Science. Mascot: Matrix Science; 2016 [cited 2019] . Available from: [https://bsrcmascot.st-andrews.ac.uk. ]
- 13.Jebanathirajah JA, Coleman JR. Association of carbonic anhydrase with a Calvin cycle enzyme complex in Nicotiana tabacum. Planta. 1998;204(2):177–182. doi: 10.1007/s004250050244. [DOI] [PubMed] [Google Scholar]
- 14.Kamal AH, Cho K, Kim DE, Uozumi N, Chung KY, Lee SY, et al. Changes in physiology and protein abundance in salt-stressed wheat chloroplasts. Mol Biol Rep. 2012;39(9):9059–9074. doi: 10.1007/s11033-012-1777-7. [DOI] [PubMed] [Google Scholar]
- 15.Garg N, Bhandari P. Silicon nutrition and mycorrhizal inoculations improve growth, nutrient status, K+/Na+ ratio and yield of Cicer arietinum L. genotypes under salinity stress. Plant Growth Regulat. 2015;78(3):371– 387. doi: 10.1007/s10725-015-0099-x. [DOI] [Google Scholar]
- 16.de Souza Miranda R, Gomes-Filho E, Prisco JT, Alvarez-Pizarro JC. Ammonium improves tolerance to salinity stress in Sorghum bicolor plants. Plant Growth Regulat. 2015;78(1):121–131. doi: 10.1007/s10725-015-0079-1. [DOI] [Google Scholar]
- 17.Xue GP, Sadat S, Drenth J, McIntyre CL. The heat shock factor family from Triticum aestivum in response to heat and other major abiotic stresses and their role in regulation of heat shock protein genes. J Exp Bot. 2014;65(2):539–557. doi: 10.1093/jxb/ert399. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Krishna P. Plant responses to heat stress plant responses to abiotic stress. In: Hirt H, Shinozaki K, editors. Topics in current genetics. Berlin : Springer; 2004. pp. 73–101. [Google Scholar]
- 19.Lee GJ, Roseman AM, Saibil HR, Vierling E. A small heat shock protein stably binds heat-denatured model substrates and can maintain a substrate in a folding- competent state. EMBO J. 1997;16(3):659–671. doi: 10.1093/emboj/16.3.659. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Sun W, Van Montagu M, Verbruggen N. Small heat shock proteins and stress tolerance in plants. Gene Struct Expres. 2002;1577(1):1–9. doi: 10.1016/s0167-4781(02)00417-7. [DOI] [PubMed] [Google Scholar]
- 21.Yang G, Wang Y, Zhang K, Gao C. Expression analysis of nine small heat shock protein genes from Tamarix hispida in response to different abiotic stresses and abscisic acid treatment. Mol Biol Rep. 2014;41(3):1279– 1289. doi: 10.1007/s11033-013-2973-9. [DOI] [PubMed] [Google Scholar]
- 22.Ryckewaert P, Deguine J-P, Brévault T, Vayssières J-F. Fruit flies (Diptera: Tephritidae) on vegetable crops in Reunion Island (Indian Ocean): state of knowledge, control+ methods and prospects for management. Fruits. 2010;65(2):113–130. doi: 10.1051/fruits/20010006. [DOI] [Google Scholar]
- 23.Lee KW, Cha JY, Kim KH, Kim YG, Lee BH, Lee SH. Overexpression of alfalfa mitochondrial HSP23 in prokaryotic and eukaryotic model systems confers enhanced tolerance to salinity and arsenic stress. Biotechnol Lett. 2012;34(1):167–174. doi: 10.1007/s10529-011-0750-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Zuleta LF, Italiani VC, Marques MV. Isolation and characterization of NaCl-sensitive mutants of Caulobacter crescentus. Appl Environ Microbiol. 2003;69(6):3029–3035. doi: 10.1128/aem.69.6.3029-3035.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Eller F, Lambertini C, Nielsen MW, Radutoiu S, Brix H. Expression of major photosynthetic and salt-resistance genes in invasive reed lineages grown under elevated CO2 and temperature. Ecol Evol. 2014;4(21):4161– 4172. doi: 10.1002/ece3.1282. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Parker R, Flowers TJ, Moore AL, Harpham NV. An accurate and reproducible method for proteome profiling of the effects of salt stress in the rice leaf lamina. J Exp Bot. 2006;57(5):1109–1118. doi: 10.1093/jxb/erj134. [DOI] [PubMed] [Google Scholar]