JXB Advance Access originally published online on March 2, 2006
Journal of Experimental Botany 2006 57(5):1109-1118; doi:10.1093/jxb/erj134
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RESEARCH PAPER |
An accurate and reproducible method for proteome profiling of the effects of salt stress in the rice leaf lamina
1School of Life Sciences, University of Sussex, Falmer, Brighton BN1 9QG, UK
2University of Sussex Proteomics Facility, University of Sussex, Trafford Centre, Falmer, Brighton BN1 9SB, UK
* To whom correspondence should be addressed. E-mail: r.parker{at}sussex.ac.uk
Received 18 November 2005; Accepted 24 January 2006
| Abstract |
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Proteomic analysis of any biological system by two-dimensional gel electrophoresis (2-DE) requires high resolution and high reproducibility. The results presented here demonstrate the reproducible and accurate separation of rice (Oryza sativa L.) proteins using improved procedures for high resolution 2-DE, which were adapted for the separation of rice lamina proteins. Validation of this system was achieved by measuring the effects of sample preparation and biological variation on the coefficient of variation (CV) for replicate spots. The majority of experimental variation was shown to be introduced by the 2-DE technique (CV 0.26). Analysis of biological variation indicated that approximately 9395% of spots were within a CV of 0.7. This provided a threshold value from which valid differences in expression between experimental groups could be screened. This system was then utilized for the proteomic analysis of short- and long-term salt-stress-responsive proteins in the rice leaf lamina. Analysis resulted in the separation of approximately 2500 protein species of which 32 were observed to be significantly regulated by salinity; so far 11 of these proteins have been identified by tandem mass spectrometry. An increase in eight proteins, including RuBisCO activase and ferritin, occurred by 24 h of exposure to sodium chloride (50 mM) and continued to increase during the following 6 d. Only one protein, a putative phosphoglycerate kinase, was found to increase in expression within 24 h and did not increase over a longer period of exposure to salt. There were also proteins that showed no change 24 h after exposure to salt, but had increased (superoxide dismutase) or decreased (S-adenosyl-L-methionine synthetase) after 7 d salt treatment.
Key words: Experimental error, Oryza sativa, proteomics, rice, salinity, salt stress
| Introduction |
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Amongst crop plants, rice is particularly sensitive to salinity and while genotypes of rice have been developed that are relatively tolerant to sodic soils (Singh et al., 2002
Rice plants respond to salinity in two distinguishable phases (Yeo et al., 1991
). The initial effects of a rise in external sodium chloride concentration are short-term and result from a drop in external water potential. The secondary effects of continued exposure to salt are long-term and result from excess ion accumulation in the shoot: in the leaf blade, excess salt results in photoinhibition and promotes cell death (Yeo et al., 1991
). Adaptation to salt stress requires alterations in the cellular machinery that result directly from modifying gene expression, which has been investigated by analysis of transcript abundance after exposure to salt. Analysis of salt-stressed rice shows changes in the expression of large numbers of genes (up to a few hundred) in roots in response to 150 mM NaCl (Kawasaki et al., 2001
; Sahi et al., 2003
; Wu et al., 2005
) and whole shoots (Shiozaki et al., 2005
) or leaves and roots (Rabbani et al., 2003
) of plants shocked with 250 mM NaCl. A similar high salt concentration induced changes in genes involved in the metabolism of antioxidants in leaves (Menezes-Benavente et al., 2004
). It is, however, difficult to evaluate the importance of particular genes or groups of genes, when such a large number change in their expression and the stress is relatively severe.
Whilst transcriptomic approaches are an important resource, functional gene expression profiles can only be achieved by proteome analysis. Furthermore, proteins undergo significant levels of post-translational modification of their primary sequences and are readily subjected to targeted proteolysis. Thus, quantitative analysis of gene expression at the protein level is essential to dissecting responses to salt stress. Expression profiling at the protein level represents the core of proteomic analysis done today. The most common tool used for revealing the expression of intact proteins is two-dimensional gel electrophoresis (2-DE). Currently, the range of protein concentrations that can be separated, the resolution of separation, and the heterogeneous physiochemical nature of protein mixtures limit analysis. Consequently, in order to generate accurate and reliable data on the relative quantity of proteins present in different samples, significant optimization is required. Once sample preparation is optimal, experimental design and quantification are key to the identification of biologically relevant markers.
Several studies have attempted to analyse alterations in protein expression in response to a multitude of biotic and abiotic stimuli (Rakwal and Agrawal, 2003
; Komatsu and Tanaka, 2005
) and differential proteomics has been used to analyse the proteome of rice, a useful model organism for the study of salt stress in monocotyledonous plants (Agrawal and Rakwal, 2006
). The majority of 2-DE data published shows the consistent regulation of approximately 50 protein species during salt stress. Amongst these, the tolerance to oxidative stress has been highlighted by the up-regulation of superoxide dismutase and ascorbate peroxidase (Abbasi and Komatsu, 2004
; Salekdeh et al., 2004). The regulation of enzymes involved in photosynthesis, and carbon metabolism has also been detected in these and other studies (Yan et al., 2005
).
Whilst these already published data represent an important contribution to rice proteomics there is a need for the implementation of improved procedures for the proteomic analysis of salt stress in rice. Also, whilst authors provide various statistical tests to validate differences, no meaningful data are provided to examine the overall variation present within the experiments performed. Choe and Lee (2003)
suggested that a simple set of experiments using same-sample replicates can be performed to measure the variability present within any 2-DE system. In order to analyse and validate the expression data produced for rice-lamina proteins by 2-DE, a similar experimental procedure was adopted. Before expression analysis was performed, the experimental system was tested for its robustness for quantitative reproducibility. Analysis of this indicated that spot-to-spot variation was mainly due to error introduced by the 2-DE instrumentation and therefore allowed the use of biological replicates for comparative expression profiling. It also showed that a 1.7-fold threshold provides a 9395% confidence interval and was therefore suitable for determining real biological differences. Utilizing this methodology, it has been investigated whether there are specific differences in the proteins expressed during the first and second phases (Munns, 2002
) of response to salt. Comprehensive analysis of short- (24 h) and long-term (7 d) salt stress revealed 32 differentially regulated protein spots, only one of which was unique to changes that occurred within 24 h; 11 of these spots have so far been identified.
| Materials and methods |
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Plant material
An elite breeding line of rice (Oryza sativa L.) from the International Rice Research Institute (IRRI), IR4630-22-2-5-1-3 was used in these experiments. Approximately 200 caryopses were soaked in aerated water for 24 h. Seeds were germinated on Perspex grids floating on Yoshida nutrient solution (Yoshida et al., 1972
Ion analysis
Sodium content was determined in the proximal third of the blade of leaf 4 from approximately 25 plants taken from each box. The leaves were ground twice in liquid nitrogen to a powder, which was oven-dried for 2 d, weighed, and Na was extracted in 100 mM acetic acid for 2 h at 80 °C. The resulting solution was filtered to remove leaf particulates and sodium content was determined by atomic absorption spectrometry (Unicam 919, Unicam, Cambridge, UK). The concentrations of sodium ions in the leaf were expressed per unit of dry mass.
Protein extraction and 2-DE analysis
The method for preparation of rice proteins for 2D PAGE was a modified protocol of that used by (Damerval et al., 1986
). Rice leaf tissue was ground four times in liquid nitrogen to a fine powder. This powder (400500 mg fresh weight) was precipitated in 10 vols of 10% (w/v) trichloroacetic acid (TCA) in acetone with 0.5% (w/v) dithiothreitol (DTT) at 20 °C overnight followed by centrifugation for 30 min at 16 000 g at 4 °C. The pellets were then washed with an excess (7.5 ml) of ice-cold acetone and then centrifuged for 30 min at 16 000 g at 4 °C. This wash was repeated a total of three times and the pellets lyophilized to remove any remaining acetone. The sample powder (25 µl mg1) was then solubilized in the lysis buffer (9 M urea, (w/v), 4% (w/v) CHAPS and 2% (v/v) ampholytes pH 310. To aid resolubilization, this solution was incubated at 25 °C for 1.5 h with gentle mixing and then clarified by centrifugation at 16 000 g for 30 min. The supernatant, containing predominantly soluble proteins, was aspirated and reduced by adding 5 mM tributyl phosphine (TBP). Reduction was continued for 1 h at room temperature. Samples were then alkylated by treatment with 15 mM iodoacetamide (IAA) for 1.5 h at room temperature. This reaction was quenched by the addition of 15 mM DTT. Samples were immediately frozen in liquid N2 and then stored at 70 °C in aliquots. Total protein quantitation was achieved using the BCA protein assay kit (Pierce) as described in the manufactures instructions.
2-DE
The protein extract was diluted into final a volume of 500 µl of rehydration solution (2% (w/v) CHAPS, 2 M thiourea, 6 M urea, 0.5% IPG buffer, 4 mM TBP, and a trace of bromophenol blue) well mixed, and centrifuged at 16 000 g for 15 min. IPG strips 47 (24 cm) were actively rehydrated with 450 µl of rehydration solution containing 600 µg of protein for 12 h at 30 V. Isoelectric focusing was carried out on IPGphor (GE. Healthcare) with a current limit of 50 µA/IPG strip, in three steps: 500 V for 1 h, 1000 V for 1 h, and 8000 V for 8 h 20 m achieving approximately 68 000 Vh. The IPG strips were then soaked in 10 ml of equilibration buffer (50 mM TRIS-Cl, pH 8.8, 6 M urea, 30% glycerol, and 2% SDS) containing 100 mg of DTT for 15 min, then the soaking repeated but DTT was replaced by 250 mg of iodoacetamide. Second dimension electrophoresis was performed with Laemmli gels (T=12.5%) in the Ettan DALT twelve system (GE Healthcare). Electrophoresis was carried out at 2.5 W gel1 for 15 min and then for 17 W gel1 at 25 °C until the dye front was approximately 1 mm from the bottom of the gel. All gels were stained with colloidal Coomassie Brilliant blue G-250.
Image acquisition and data analysis
Image acquisition was achieved using a flatbed transmissive white light scanner (ImageScanner, GE Healthcare). The scanner control software used was Labscan 3.01 (GE Healthcare). Pixel depth was 16 bit, resolution was 300 dpi; brightness and contrast were set to default. Intensity calibration was performed prior to acquiring all gel images using the Kodak photographic step tablet no. 2. Cropped gel images were exported as TIFF files from the scanner control software. Progenesis Workstation 2001.04 (Nonlinear Dynamics, Newcastle upon Tyne, UK) was employed using fully automatic spot detection and matching capabilities. Briefly, after spot detection, all spots from each replicate for a particular treatment were matched to create an average gel for each treatment. Average gels of each treatment were then matched to a reference gel that links all matched spots present in the experiments. After background subtraction, the calibrated volume of each spot was then normalized as a percentage of the total volume of all spots on the gel. Normalized spot volumes were then used to produce an average normalized volume. Three replicate gels were used to create each average.
In-gel digestion and MALDI MS/MS analysis
Gel plugs were excised by a robotic spot picker (GE Healthcare) using the click and pick method as described in the manufacturer's instructions. Gel plugs were washed twice with 50 mM ammonium bicarbonate for 5 min each time. Plugs were then washed once with 50 mM ammonium bicarbonate for 30 min with occasional vortexing. Gel plugs were destained with 50% 50 mM ammonium bicarbonate/50% acetonitrile for 30 min, dried with 100% acetonitrile, and digested overnight with sequencing grade porcine trypsin (Promega) at 10 µg ml1. Peptides were extracted twice with 1% (v/v) TFA for 20 min. Extracts were pooled before being purified and concentrated by reversed phase chromatography with ZipTipC18 (Millipore) as described in the manufacturer's instructions. Samples were then dried and stored at 70 °C prior to analysis by MS. Dried peptides were sent to Applied Biosystems, Darmstadt, Germany. MALDI spotting, data acquisition, and database searching was done by Dietmar Waidelich, Matthias Glueckmann, Dietrich Merkel, Christian Albrech, and Volker Kruft. Protein identifications were carried out on the 4700 proteomics discovery system utilizing the 4700 Proteome analyser MALDI-TOF/TOF-MS and GPS Explorer Software v2.0. All spectra were used to search the MASCOT server 1.9 (Matrix Science, London, UK) against all entries in the NCBInr database. Variable modifications were set for carbamidomethyl of cysteines, oxidation of methionines, and Pyro-glu for N-terminal glutamines, a tolerance of 35 ppm was set for peptides and 0.35 Da for MS/MS fragments, a maximum of two missed cleavages was allowed per protein. Significantly high MASCOT scores that resulted in a confidence interval (CI) greater than 95% for either PMF and/or MS/MS data generated from each digested spot, were assumed to be correctly identified proteins.
| Results and discussion |
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Growth and sodium accumulation in response to salt
Three-week-old rice seedlings were treated with 50 mM salt for 1 d or 7 d in order to separate short- and long-term responses to a salt concentration previously shown to distinguish sensitive and resistant genotypes of rice (Flowers and Yeo, 1981
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Quantification of experimental error in the system
Proteomic analysis is subject to variation introduced by the technology, by sample preparation, and by biological variation. To evaluate the variation present within this experimental system for rice, three experiments were carried out (see supplementary figure at JXB online). In the first, the same sample was divided into three equal parts and run on three different gels; in the second, three preparations were made, independently using the same starting material and each run on separate gels. Finally, three biologically independent replicates were grown, prepared and run in parallel. The same area was selected for 2-DE analysis from each of the three replicate gels for each experiment. This area was chosen to avoid known problem areas of 2-DE maps where spot matching is problematic, thus allowing for a more automated assessment of reproducibility. Normalized volume data was collected for each spot that was matched in at least two out of three gels in each experiment and used for the calculation of coefficients of variation (CV). These settings reflect the minimum requirement for the generation of CV values; in most cases spots were present in all three replicates. This approach is in accord with spot analysis software available from all manufacturers and allows for the rare event where a spot is lost from one gel within an experimental group. By screening samples in this fashion, gel analysis can be performed rapidly and in an automated manner.
The average CV for matched spots increased from 0.26 for the single sample preparation run on separate gels, to 0.29 where three separate preparations were made, to 0.31 where three independent biological samples were processed separately (data not shown). The differences in variance can also be seen in the percentage of spots falling below certain cut-off values for the CV. Within the rice 2-DE system established using biological replicates, a 1.7-fold threshold for determining a quantitative change in expression is reasonable, as it results in a 9395% CI (data not shown). Candidate spots altering by 1.7-fold or greater were selected and the probability of changes in expression levels being statistically significant further assessed by a Student's t test. This stringent approach was adopted to reduce the likelihood of identifying false positive changes in protein expression.
2-DE analysis of leaf blade proteins in salt-stressed rice
After image analysis, more than 2500 protein spots were detected and matched between all gels. In order to compare protein expression, a difference map was generated which indicated proteins that differed by 1.7-fold in average normalized volume between control and salt-treated groups (Fig. 2). A total of 32 spots were shown to differ in normalized volume between treatments. The probability of the differences being statistically significant was calculated using the Student's t test; changes in expression were considered significant if the calculated P values were
0.05. Not all of the 1.7-fold changes recorded gave P values of <0.05 but were still considered to be relevant as this difference was above the 9395% threshold value.
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The number of spots differentially regulated was substantially more after long-term than after short-term salt stress (Fig. 3). In response to short-term salt stress, the abundance of seven spots increased and two decreased; only one of these spots (1663) was specific to short-term stress, the others all showed similar or enhanced changes in expression by 7 d. After long-term salt stress, a total of 21 spots were found to be up- and 12 down-regulated; of these, 23 were specific to long-term salt stress. The temporal regulation of proteins in response to different salt treatments will be important in understanding their roles in plant adaptation to short- or long-term salt stress.
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Identification of proteins responsive to salt stress
Among the 32 spots altering in abundance, 11 have been identified by a combination of matrix-assisted laser-desorption ionization-time-of-flight-mass spectrometry (MALDI-TOF-MS), peptide mass finger printing (PMF), and tandem MS/MS (Table 1). Spot montages for all identified spots are shown in Fig. 4 indicating successful matching between experimental groups. All identifications showed a good correlation of theoretical and experimental pI and Mr. For the majority of identified proteins initial top hits from PMF database searching were confirmed by additional MS/MS analysis of peptides. Each type of data resulted in significant MASCOT scores, which were analysed statistically and shown to be equal to or greater than the 95% (usually 99100%) confidence interval cut off for either PMF and/or MS/MS. Some lower intensity samples did not result in enough peptides for PMF analysis; these samples were subjected to MS/MS analysis only. In Table 2, the difference in expression is shown and proteins are grouped into a temporal profile indicating their response to short-, short- and long-, or long-term salt stress. The molecular function, role, and predicted subcellular location for each protein is given in Table 3. The majority of the identified proteins were located to the chloroplast: other proteins identified have roles in mediating iron homeostasis, 1-carbon metabolism, and cell cycle progression.
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Identification of proteins responsive to short-term salt stress only
The early effects of salinity on growth are transient so that 24 h after salinization with 50 mM NaCl, leaf growth rates have recovered to their presalinization values and there is no noticeable effect on photosynthesis (Yeo et al., 1991
Identification of proteins responsive to short- and long-term salt stress
Although only a single protein was found whose change in concentration was restricted to the period up to 24 h after exposure to salt, a total of eight proteins changed during both short- and long-term salt stress; of these three have so far been identified (Table 2).
RuBisCO activase (RCA):
RuBisCO activase was up-regulated 1.7- and 2.5-fold in response to short- and long-term salt stress, respectively. RuBisCO activase is a member of the AAA+ family of proteins that have diverse chaperone-like functions. The main role of the activase is the maintenance of the catalytic activity of RuBisCO by removal of inhibitory sugars from the active site of uncarbamylated and carbamylated RuBisCO (Portis, 2003
). Increased activase activity may be required to tolerate long-term salt stress due to a direct reduction in stomatal conductance and subsequent low CO2 levels. Low stromal CO2 will result in increased rates of RuBisCO inactivation through the binding of inhibitory sugars prior to carboxylation. Increases in stromal levels of the large isoform of the activase may directly allow carboxylation to occur at low CO2 levels.
Ferritin:
Ferritin was found to accumulate by 3.5- and 5.2-fold after short- and long-term salt stress. Plant ferritins are iron-storage proteins able to accommodate 4500 iron atoms in a central cavity (Arosio and Levi, 2002
) and are utilized to regulate the iron concentration in chloroplasts in order to prevent iron toxicity. During salt stress, increased oxidative stress could result in the formation of hydroxyl radicals from a reaction between ferrous iron and H2O2 (Fenton reaction). The sequestering of ferrous iron through increased expression of ferritin could act to reduce the production of hydroxyl radicals, the most dangerous reactive oxygen species produced in living cells, during salt stress.
ATP synthase:
Spot 1900, identified as the ATP synthase ß subunit (small isoform), was up-regulated 2.6-and 5-fold at 24 h and 7 d, respectively. The ATP synthase, a large 400 kDa protein complex, consists of an integral membrane CF0 portion and an extrinsic CF1 portion. The CF0 portion forms a transmembrane ion channel for the translocation of protons. The ß subunits are found within the extrinsic CF1 portion and are involved in the catalysis of the formation of ATP from ADP and inorganic phosphate (Senior et al., 2002
). The increase in ATP synthase could be associated with transiently increased photosynthetic rates and the up-regulation of the Calvin cycle enzyme phosphoglycerate kinase. However, the reason for enhanced expression of ATP synthase after long-term stress is unclear. Photosynthetic rates in rice reduce as the Na+ in the lamina increases (Yeo et al., 1991
) and in response to long-term salt stress (Tiwari et al., 1997
). Enhanced ATP synthesis in salt-stressed rice may reflect the requirements of processes such as secondary transport mechanisms. ATP may be transported from the stroma to support the increased activity of H+-ATPases required for increased antiporter activity at the plasma and tonoplast membranes during salt stress (NHX1 and SOS1).
Identification of proteins responsive to long-term salt stress
A number of proteins showed no change in their expression after 24 h of exposure to salt, but had altered concentrations after 7 d of stress. Seven days of exposure to salt causes significant cellular damage to rice leaves and proteins involved in the repair of cellular damage might be expected to be up-regulated by this time. Other changes may reflect damage to dying cells.
Superoxide dismutase:
The chloroplast [Cu-Zn] superoxide dismutase was shown to increase in expression after long-term salinity. Superoxide dismutase increased by 1.7-fold after 7 d; no significant change in expression occurred by 24 h. The chloroplast superoxide dismutase forms part of an enzymatic detoxification system for the scavenging of reactive oxygen species (Asada, 1999
). Enhanced activity of the chloroplast [Cu-Zn] superoxide dismutase may maintain electron flux in the thylakoids when CO2 levels are decreased in the stroma.
Porphobilinogen deaminase (PBG deaminase):
Putative porphobilinogen deaminase (PBG deaminase) which catalyses the deamination of porphobilinogen to hydroxymethylbilane (EC 2.5.1.61
[EC]
) (Cornah et al., 2003
) and is involved in the synthesis of tetrapyrroles was down-regulated 2.0-fold by long-term salt stress. In photosynthetic cells, the main tetrapyrrole synthesized is chlorophyll, suggesting that down-regulation of PBG deaminase is switching of the biosynthesis of chlorophyll. This could be a pathological consequence of increased Na+ toxicity and the onset of premature senescence.
Translation initiation factor 5A (EIF-5A):
Spot 2885, identified as translation initiation factor 5A (eIF-5A), was significantly down-regulated, 1.9-fold, after long-term salt stress. eIF-5A is not required for global translation to occur; its role appears to be in the shuttling of specific mRNAs from the nucleus to the cytoplasm (Ruhl et al., 1993
; Thompson et al., 2004
). In rice cell suspension cultures a drop in OseIF5A-1 was observed initially in response to salt stress (Chou et al., 2004
); levels then recovered and exceeded those of unstressed cells. The response in rice leaves was different: the reduced expression of eIF-5A following salt stress may indicate an alteration in cell cycle status that could be indicative of premature senescence.
Ferritin:
A second isoform of ferritin was shown to be differentially regulated by long-term salt stress only. This second isoform was resolved by a slight variation in molecular weight, although it was identified as the same protein by MS. The distinct isoforms may be present due to multiple copies of the gene in the rice genome, or due to post-transcriptional, translational modification of the ferritin gene or protein. Unfortunately, the modification cannot be characterized by the experimentation done here. The importance of two distinct isoforms of ferrtin in salt stress is evident from their temporal differences in expression. The light isoform is responsive to both short- and long-term salt stress and up-regulated 3.5- and 5.2-fold, respectively. The heavy isoform is shown only to respond significantly (2.3-fold) after long-term salinity. The independent regulation of ferritin isoforms by short- and long-term salinity indicates that different cues control the expression of this protein. Evidence for the induction of different ferritin genes has been observed in maize: induction of two separate ferritin genes (ZmFer1 and ZmFer2) in response to iron appears to include ABA-dependent and -independent components (Fobisloisy et al., 1995
; Lobreaux et al., 1995
).
S-adenosyl-L-methionine synthetase:
Two proteins encoding different isozymes of S-adenosyl-L-methionine synthetase were significantly down-regulated, 4.3- and 2.0-fold, respectively, by long-term salt stress. Expression of several transcripts encoding SAMS have been shown to be down-regulated in response to salt stress in rice (Kawasaki et al., 2001
). S-adenosyl-L-methionine synthetase (SAMS) (EC 2.5.1.6
[EC]
) catalyses the formation of S-adenosyl-L-methionine (AdoMet) from L-methionine and ATP. AdoMet is an important methyl group donor utilized in most transmethylation reactions. Transmethylation reactions with AdoMet are vital for the synthesis of lipids, nucleic acids, proteins, and other products of secondary metabolism. AdoMet is also utilized as a common precursor for biosynthesis of the phytohormone ethylene, polyamines and is required for the production of phenylpropanoid, a constituent of the cell wall. Reduced SAMS might result in reduced production of the plant hormone ethylene, although in rice, salinity stimulates ethylene biosynthesis in tolerant cultivars, but has little effect in more sensitive lines (Lutts et al., 1996
). In A. thaliana, reduced expression of the ethylene receptors has been reported after exposure to salt stress (Zhoa and Schaller, 2004). SAMS have also been shown to be involved in the biosynthesis of lignin and the polyamine glycine betaine during salt stress (Sanchez-Aguayo et al., 2004
; Tabuchi et al., 2004
). In these studies an increase in SAMS abundance or activity has been shown in association with increased lignification and glycine betaine synthesis. The down-regulation of SAMS observed in rice suggests that these isoforms are not involved in the biosynthesis of osmolytes (rice does not synthesize glycine betaine; Hall et al., 1978
) or lignin. Without further analysis the roles of the SAMS identified can only be speculative.
| Conclusion |
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The quantity of published protein expression data being generated by 2-D gel electrophoresis is rapidly growing. As more laboratories embark on proteomic studies, interpretation of these data will require strict control of data quality and experimental conditions. Procedures that result in accurate expression analysis by 2-DE are required for every biological system under investigation.
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 one protein, phosphoglycerate kinase, that altered specifically within 24 h. Other proteins, RuBisCO activase and ATP synthase, were shown to respond by 24 h post-salt treatment and continue to be differentially expressed as exposure to salt continued. By contrast, two SAMS protein isoforms showed no change in 24 h, but were down-regulated after long-term exposure to salt. The response of superoxide dismutase (SOD) enzyme identified in this analysis can be interpreted as a pathological response to severe salt stress, correlated with its role in the tolerance of oxidative stress in the chloroplast. The temporal regulation of two isozymes of ferritin indicated a specific role for these isoforms in response to both short- and long-term salinity. The function of ferritin highlights the importance of controlling intra-plastid iron concentrations during both early and late responses to salinity. Two proteins, PBG deaminase and EIF-5A, were down-regulated after long-term salt stress. The function of these proteins in chlorophyll biosynthesis and cell cycle control denotes possible mechanisms for the initiation of premature senescence during long-term salt stress.
The work described here tested the performance, robustness, and reproducibility of a platform developed for comparative proteomics: the aim was an experimental design that produced biologically meaningful data. From the analysis of already published proteomics data on salt stress in rice it was clear that there was considerable room for improvements in data quality. Initial work was focused on testing the robustness and quantitative reproducibility of the rice lamina 2-DE system developed in our laboratory. This work demonstrated the applicability of biological replicates and indicated the threshold value to use for assigning differences in expression. These data also exemplified the overall quality of data produced and thus provides a sound basis for expression study's and inter-laboratory comparisons. The applicability of this approach to the identification of real biological difference was demonstrated by the analysis of short- and long-term salt stress in the leaf lamina of rice. Analysis resulted in the separation of approximately 2500 protein species of which 32 were observed to be significantly regulated by salinity; 11 of these have so far been identified by mass spectrometry and their molecular function ascertained. Linking the function to a role in salt stress responses remains more elusive and for some proteins will ultimately require complementary approaches. The results illustrate both the strength and weakness of current proteomics studies. By only providing a snapshot of biochemical processes the role of some proteins will be elusive without complementary approaches. The strength of proteomics is to generate new areas of research by revealing novel mechanisms involved in the regulation of biochemical processes.
| Supplementary data |
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Supplementary data are available at JXB online.
| Acknowledgements |
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We thank Dietmar Waidelich, Matthias Glueckmann, Dietrich Merkel, Christian Albrech, and Volker Kruft at Applied Biosystems, Darmstadt, Germany for carrying out the mass spectrometry, and the BBSRC and Protenix Ltd for providing a research studentship and funding for this work.
| References |
|---|
|
|
|---|
Abbasi FM, Komatsu S. 2004. A proteomic approach to analyse salt-responsive proteins in rice leaf sheath. Proteomics 4, 20722081.[CrossRef][Web of Science][Medline]
Arosio P, Levi S. 2002. Ferritin, iron homeostasis, and oxidative damage. Free Radical Biology and Medicine 33, 457463.[CrossRef][Web of Science][Medline]
Asada K. 1999. The waterwater cycle in chloroplasts: scavenging of active oxygen and dissipation of excess photons. Annual Review of Plant Physiology and Plant Molecular Biology 50, 601639.[CrossRef][Web of Science]
Agrawal GK, Rakwal R. 2006. Rice proteomics: a cornerstone for cereal food crop proteomes. Mass Spectrometry Review 251, 153.
Choe LH, Lee KH. 2003. Quantitative and qualitative measure of intralaboratory two-dimensional protein gel reproducibility and the effects of sample preparation, sample load, and image analysis. Electrophoresis 24, 35003507.[CrossRef][Web of Science][Medline]
Chou WC, Huang YW, Tsay WS, Chiang TY, Huang DE, Huang HJ. 2004. Expression of genes encoding the rice translation initiation factor, eIF5A, is involved in developmental and environmental responses. Physiologia Plantarum 121, 5057.[Medline]
Cornah JE, Terry MJ, Smith AG. 2003. Green or red: what stops the traffic in the tetrapyrrole pathway? Trends in Plant Science 85, 224230.
Damerval C, Devienne D, Zivy M, Thiellement H. 1986. Technical improvements in two-dimensional electrophoresis increase the level of genetic-variation detected in wheat-seedling proteins. Electrophoresis 7, 5254.
Fobisloisy I, Loridon K, Lobreaux S, Lebrun M, Briat JF. 1995. Structure and differential expression of 2 maize ferritin genes in response to iron and abscisic-acid. European Journal of Biochemistry 231, 609619.[Web of Science][Medline]
Flowers TJ, Yeo AR. 1981. Variability in the resistance of sodium chloride salinity within rice Oryza sativa L. varieties. New Phytologist 81, 363373.
Hall JL, Harvey DMR, Flowers TJ. 1978. Evidence for the cytoplasmic localization of betaine in leaf cells of Suaeda maritima. Planta 140, 5962.[CrossRef][Web of Science]
Komatsu S, Tanaka N. 2005. Rice proteome analysis: a step toward functional analysis of the rice genome. Proteomics 5, 938949.[CrossRef][Web of Science][Medline]
Kawasaki S, Borchert C, Deyholos M, Wang H, Brazille S, Kawai K, Galbraith D, Bohnert HJ. 2001. Gene expression profiles during the initial phase of salt stress in rice. The Plant Cell 13, 889905.
Lobreaux S, Thoiron S, Briat JF. 1995. Induction of ferritin synthesis in maize leaves by an iron-mediated oxidative stress. The Plant Journal 8, 443449.[CrossRef]
Lutts S, Kinet JM, Bouharmont J. 1996. Ethylene production by leaves of rice Oryza sativa L. in relation to salinity tolerance and exogenous putrescine application. Plant Science 116, 1525.[CrossRef]
Menezes-Benavente L, Teixeira FK, Kamei CLA, Margis-Pinheiro M. 2004. Salt stress induces altered expression of genes encoding antioxidant enzymes in seedlings of a Brazilian indica rice Oryza sativa L. Plant Science 166, 323331.[CrossRef]
Munns R. 1993. Physiological processes limiting plant-growth in saline soils: some dogmas and hypotheses. Plant, Cell and Environment 16, 1524.
Munns R. 2002. Comparative physiology of salt and water stress. Plant, Cell and Environment 25, 239250.
Munns R, Husain S, Rivelli AR, James RA, Condon AG, Lindsay MP, Lagudah ES, Schachtman DP, Hare RA. 2002. Avenues for increasing salt tolerance of crops, and the role of physiologically based selection traits. Plant and Soil 247, 93105.[CrossRef]
Portis Jr AR. 2003. Rubisco activase: Rubisco's catalytic chaperone. Photosynthesis Research 751, 1127.
Rabbani MA, Maruyama K, Abe H, Khan MA, Katsura K, Ito Y, Yoshiwara K, Seki M, Shinozaki K, Yamaguchi-Shinozaki K. 2003. Monitoring expression profiles of rice genes under cold, drought, and high-salinity stresses and abscisic acid application using cDNA microarray and RNA get-blot analyses. Plant Physiology 133, 17551767.
Rakwal R, Agrawal KA. 2003. Rice proteomics: current status and future perspectives. Electrophoresis 24, 33783389.[CrossRef][Web of Science][Medline]
Ruhl M, Himmelspach M, Bahr GM, et al. 1993. Eukaryotic initiation factor-5a is a cellular target of the human-immunodeficiency-virus type-1 Rev activation domain mediating transactivation. Journal of Cell Biology 123, 13091320.
Sanchez-Aguayo I, Rodriguez-Galan JM, Garcia R, Torreblanca J, Pardo JM. 2004. Salt stress enhances xylem development and expression of S-adenosyl-L-methionine synthase in lignifying tissues of tomato plants. Planta 220, 278285.[CrossRef][Web of Science][Medline]
Sahi C, Agarwal M, Reddy MK, Sopory SK, Grover A. 2003. Isolation and expression analysis of salt stress-associated ESTs from contrasting rice cultivars using a PCR-based subtraction method. Theoretical and Applied Genetics 106, 620628.[Web of Science][Medline]
Salekdeh GhH, Siopongco J, Ghareyazie B, Bennett J. 2002. Proteomic analysis of rice leaves during drought stress and recovery. Proteomics 2, 11311145.[CrossRef][Web of Science][Medline]
Senior AE, Nadanaciva S, Weber J. 2002. The molecular mechanism of ATP synthesis by F1F0-ATP synthase. Biochimica et Biophysica Acta: Bioenergetics 1553, 188211.[CrossRef]
Singh RK, Mishra B, Chauhan MS, Yeo AR, Flowers SA, Flowers TJ. 2002. Solution culture for screening rice varieties for sodicity tolerance. Journal of Agricultural Science 139, 327333.[CrossRef]
Shiozaki N, Yamada M, Yoshiba Y. 2005. Analysis of salt-stress-inducible ESTs isolated by PCR-subtraction in salt-tolerant rice. Theoretical and Applied Genetics 110, 11771186.
Tabuchi T, Kawaguchi Y, Azuma T, Nanmori T, Yasuda T. 2004. Salt induction of S-adenosylmethionine synthetase in leaves of halophyte Atriplex nummularia L. Plant and Cell Physiology 45, S56S56.
Thompson JE, Hopkins MT, Taylor C, Wang TW. 2004. Regulation of senescence by eukaryotic translation initiation factor 5A: implications for plant growth and development. Trends in Plant Science 9, 174179.[CrossRef][Web of Science][Medline]
Tiwari BS, Bose A, Ghosh B. 1997. Photosynthesis in rice under a salt stress. Photosynthetica 34, 303306.[CrossRef]
Wu YR, Wang QY, Ma YM, Chu CC. 2005. Isolation and expression analysis of salt up-regulated ESTs in upland rice using PCR-based subtractive suppression hybridization method. Plant Science 168, 847853.[CrossRef]
Yan S, Tang Z, Su W, Sun W. 2005. Proteomic analysis of salt stress-responsive proteins in rice root. Proteomics 5, 235244.[CrossRef][Web of Science][Medline]
Yeo AR, Lee KS, Izard P, Boursier PJ, Flowers TJ. 1991. Short-term and long-term effects of salinity on leaf growth in rice (Oryza sativa L.). Journal of Experimental Botany 42, 881889.
Yoshida S, Forno DA, Cock JH, Gomez KA. 1972. Laboratory manual for physiological studies of rice, 2nd edn. International Rice Research Institute, 170.
Zhao XC, Schaller GE. 2004. Effect of salt and osmotic stress upon expression of the ethylene receptor ETR1 in Arabidopsis thaliana. FEBS Letters 562, 189192.[CrossRef][Web of Science][Medline]
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