- Open Access
Proteomics approach combined with biochemical attributes to elucidate compatible and incompatible plant-virus interactions between Vigna mungo and Mungbean Yellow Mosaic India Virus
© Kundu et al.; licensee BioMed Central Ltd. 2013
Received: 14 December 2012
Accepted: 3 April 2013
Published: 15 April 2013
Vigna mungo, a tropical leguminous plant, highly susceptible to yellow mosaic disease caused by Mungbean Yellow Mosaic India Virus (MYMIV) resulting in high yield penalty. The molecular events occurring during compatible and incompatible interactions between V. mungo and MYMIV pathosystem are yet to be explored. In this study biochemical analyses in conjunction with proteomics of MYMIV-susceptible and -resistant V. mungo genotypes were executed to get an insight in the molecular events during compatible and incompatible plant-virus interactions.
Biochemical analysis revealed an increase in phenolics, hydrogen peroxide and carbohydrate contents in both compatible and incompatible interactions; but the magnitudes were higher during incompatible interaction. In the resistant genotype the activities of superoxide dismutase and ascorbate peroxidase increased significantly, while catalase activity decreased. Comparative proteome analyses using two-dimensional gel electrophoresis coupled with mass spectrometry identified 109 differentially abundant proteins at 3, 7 and 14 days post MYMIV-inoculation. Proteins of several functional categories were differentially changed in abundance during both compatible and incompatible interactions. Among these, photosynthesis related proteins were mostly affected in the susceptible genotype resulting in reduced photosynthesis rate under MYMIV-stress. Differential intensities of chlorophyll fluorescence and chlorophyll contents are in congruence with proteomics data. It was revealed that Photosystem II electron transports are the primary targets of MYMIV during pathogenesis. Quantitative real time PCR analyses of selected genes corroborates with respective protein abundance during incompatible interaction. The network of various cellular pathways that are involved in inducing defense response contains several conglomerated cores of nodal proteins, of which ascorbate peroxidase, rubisco activase and serine/glycine hydroxymethyl transferase are the three major hubs with high connectivity. These nodal proteins play the crucial role of key regulators in bringing about a coordinated defense response in highly orchestrated manner.
Biochemical and proteomic analyses revealed early accumulation of the defense/stress related proteins involved in ROS metabolism during incompatible interaction. The robustness in induction of defense/stress and signal transduction related proteins is the key factor in inducing resistance. The mechanism of MYMIV-resistance in V. mungo involves redirection of carbohydrate flux towards pentose phosphate pathway. Some of these identified, differentially regulated proteins are also conferring abiotic stress responses illustrating harmony amongst different stress responses. To the best of our knowledge, this is the lone study deciphering differential regulations of V. mungo leaf proteome upon MYMIV infection elucidating the mode of resistance response at the biochemical level.
Plants exhibit specific responses when challenged with viruses. Compatible host-virus interactions result in systemic infections leading to the development of characteristic symptoms. The magnitude of physiological and phenotypic changes in the host during viral infection suggests the activation and suppression of global gene expressions in the host . In incompatible interaction, the expression of host resistance (R) gene is triggered by specific molecular interactions with viral avirulence (Avr) proteins and activates a cascade of genes to induce defense mechanisms including synthesis of pathogenesis-related (PR) proteins [2, 3]. The accumulation of PR proteins is also associated with systemic acquired resistance (SAR) against a wide range of pathogens . During incompatible interaction the virus replication is ceased and the movement is arrested at or near the sites of infection. The ‘oxidative burst’ by the production of reactive oxygen species (ROS) is one of the earliest cellular responses following pathogen infection. The sequential reduction of molecular oxygen to superoxide radical (.O2 -), hydrogen peroxide (H2O2) and hydroxyl radical (.OH) are the most predominant ROS produced in plant cell. ROS-scavenging enzymes, including ascorbate peroxidases (APX), superoxide dismutases (SOD) and catalase (CAT) maintain ROS homeostasis in different compartments of the plant cell . The ROS either destroy the invading pathogens directly or activate expression of defense related gene cascade .
In this communication we report interactions between V. mungo and a viral pathogen, MYMIV at the biochemical and physiological level. MYMIV belongs to the genus begomovirus and causes yellow mosaic disease (YMD) in several edible grain legumes including V. mungo, V. radiata, Glycine max, Phaseolus angularis, P. lunatus and P. vulgaris. YMD spreads all over the South-Asian countries leading to a maximum of cent percent yield penalty when infestation occurs at the juvenile developmental stage. The disease is transmitted by Whitefly (Bemisia tabaci) that delivers the virus through proboscis to phloem cells of the host plant. Consequently, the virus propagates within the susceptible plants using host’s cellular machinery and causes irregular chlorotic yellow patches on the leaf lamina, which gradually covers the entire surface and leaves become yellow [7, 8]. However, the molecular events occurring in susceptible and resistant host plants after virus invasions are yet to be deciphered. Considering the importance of V. mungo as an important pulse crop, host proteins that modulate during virus invasion were identified to elucidate their roles in regulating the resistance response. Moreover, there is limited information on physiological and biochemical responses of V. mungo upon MYMIV infection. Therefore, the present study was extended to investigate differences in physiological and biochemical parameters between MYMIV-susceptible and -resistant genotypes at different time points following whitefly mediated inoculation of MYMIV.
Results and discussion
Biochemical changes in V. mungo during compatible and incompatible interactions
Appearance of disease symptoms in leaves of V. mungo during compatible interaction was noted after artificial inoculation with MYMIV, as mentioned in Materials and Methods. No such symptom development was observed during incompatible interaction in the MYMIV-resistant plants after challenging with the virus. Symptomatic changes in leaf morphology during compatible interaction at different time points are shown in Additional file 1: Figure S1. The susceptible genotype inoculated with MYMIV showed YMD symptoms in the form of yellow patches. In contrast, leaves of the resistant genotype were devoid of any chlorotic tissue showing resistance response against invading virus. The observation was corroborated with the presence of MYMIV coat protein DNA fragment (GenBank ID. HQ221570) in the susceptible genotype at 14 dpi (Additional file 1: Figure S1B). On the other hand, due to low level of virus titer in the infected leaf tissues of MYMIV-resistant genotype only a faint amplified product could be seen after repeated re-PCR (at least four times) of the PCR-amplified-product.
A significant decrease in Chlorophyll a (chl a), Chlorophyll b (chl b) and in carotenoid content was observed during compatible interaction at 7 and 14 dpi (Additional file 2: Figure S2A-C). These parameters did not change significantly during incompatible interaction. The chl a, chl b and carotenoid content were comparable in two mock inoculated genotypes.
Kinetics of antioxidant enzymes
CAT activity declined significantly at 3 and 7, dpi as compared to that of the control during incompatible interaction (Figure 4B). Whereas CAT activity increased significantly from 7 dpi during compatible interaction and 1.8-fold increment was noted at 14 dpi.
The activity of APX was induced significantly from 3 dpi during incompatible interaction, whereas significant increase in APX activity was recorded from 7 dpi onwards during compatible interaction (Figure 4C). There were negligible changes in SOD, CAT and APX activities in two mock inoculated genotypes at three time points (Figure 4A-C).
Changes in the leaf proteome of V. mungo following MYMIV-infection
Robust induction of stress/defense and signal transduction related proteins
Type II peroxiredoxin (spot no. 109) also increased in abundance at different time points in the resistant genotype upon virus inoculation. It is involved in ameliorating pathogen-induced oxidative stress and offers higher tolerance against pathogens . Significant change in the level of peroxiredoxin was not found during compatible interaction.
Levels of uridylyltransferase-related protein (spot no. 101), quinine oxidoreductase-like protein (spot no. 65) and BTF3b-like transcription factor (spot no. 71) were enhanced during incompatible interaction, which are usually associated with abiotic stress tolerance. But in this case, presumably to combat with drought condition due to rapid efflux of anions led to depolarization of plasma membrane potential which regulates K+ ion channels resulting in extrusion of K+ ions. Thus, water potential decreased within the cell and created drought like situation upregulating drought responsive proteins.
The BTF3b-like transcription factor increased 6.8-fold (log 2 value, 2.76) at 14 dpi. These findings support the opinion that mechanisms by which plants respond to abiotic and biotic stresses are not independent, rather are involved in a common network through a continuous process of cross-talk [12, 13].
The level of Calmodulin (CaM) (spot no. 104) was much higher during incompatible interaction as compared to compatible interaction in V. mungo. This is also supported by CaM (GenBank ID. JK086513) transcript analysis in resistant genotype of V. mungo, where transcripts were highly overexpressed during incompatible interaction (Figure 8D). CaM is an acidic Ca2+-binding protein that is induced upon various stresses. In response to the biotic stress, the cytosolic Ca2+ concentration in plants elevates rapidly via an increased Ca2+ influx, and then quickly returns to the basal level by Ca2+ efflux thus producing a Ca2+ spike . The activated Ca2+-CaM complex binds to several target proteins and modulates different cellular processes . Burst in cytosolic Ca2+ fluxes triggers induction of defense responses probably via calmodulin dependent kinases (CAM kinases) or calcium dependent protein kinases (CDPKs), the involvement of CDPKs in salicylic acid mediated defense response in V. mungo against MYMIV has been shown by us previously . From the above findings it is envisaged that the ROS homeostasis in resistant genotypes of V. mungo is controlled by Ca2+-dependent pathway as also predicted by Grant and Loake .
The increased level of protein phosphatase 2C (PP2C) (spot no. 108) during incompatible interaction may trigger signal transduction pathway and consequently induces resistance response against MYMIV in V. mungo. It has been reported earlier that over expression of PP2C gene in transgenic tobacco plants resulted in increased disease resistance against tobacco mosaic virus . This protein may be responsible for resistance mediated defense which in addition to recognizing the effector molecules of pathogen also induces defense response mainly activating PR proteins in the resistant plants, for which the signaling pathway is still inadequately deciphered.
Induction of SAR through ankyrin repeat protein, a possibility
In the present study, level of an ankyrin repeat like domain containing protein (AKR, spot no. 25) was up-regulated upon MYMIV infection during incompatible interaction; whereas, it was gradually down-regulated in the MYMIV-susceptible genotype with the progression of the disease. In Arabidopsis, NPR1 gene encodes an oligomeric AKR, a cytosolic protein. It has been reported that upon pathogen infection NPR1 oligomer converts into monomeric form and is transported to the nucleus to orchestrate expression of PR genes . The induction of PR proteins ultimately contributes to SAR . During the development of SAR, two isoforms of thioredoxin (Trx) regulate the conformation of NPR1 in the cellular redox environment . Level of Trx M (spot no. 50) was also enhanced during incompatible interaction while, there was no significant change in the level during compatible interaction, suggesting both of these proteins are implicated in conferring MYMIV-resistance in V. mungo. V. mungo EST (GenBank ID. JG016041) homologous to V. unguiculata Trx, over-expressed during incompatible interaction with MYMIV (Figure 8B).
MYMIV-stress predominately affects energy-related proteins
In the susceptible plants, establishment of YMD and appearance of the characteristic symptoms in the form of yellow mosaic should normally correspond with simultaneous decrease in the levels of proteins that are involved in photosynthesis and photorespiration. Evidently, chlorophyll fluorescence induction kinetics of MYMIV infected V. mungo plants indicates decrease in photosynthesis efficiency with gradual increase of chlorotic patches (Figure 3A, B). The photosynthetic machinery of susceptible plant is a primary target of MYMIV which is evident from the reduction in the photosynthetic rate and chlorophyll content upon virus infection (Additional file 2: Figures S2; Additional file 3: Figures S3). High turnover of photosynthetic proteins such as rubisco activase (spot nos. 5 and 73), Photosystem II oxygen-evolving complex protein (spot nos. 1, 3 and 56) and Ribulose-1, 5-bisphosphate carboxylase small subunit (spot no. 18 and 20) during incompatible interaction suggests that resistant plants evoke defense mechanisms to protect the photosynthetic machinery and enhance photosynthetic efficiency upon virus infection. Transcript analysis of rubisco activase (GenBank ID. HO223989) also supports this data (Figure 8E). Such increase in photosynthetic efficiency of MYMIV-resistant plants generates extra energy to avoid pathogen effector molecules. Treatment of SA also increases the photosynthetic efficiency of susceptible plants simultaneously increasing tolerance to MYMIV as demonstrated earlier .
The pyruvate dehydrogenase and malate dehydrogenase are important enzymes of tricarboxylic acid (TCA) cycle (Additional file 8: Figure S6). During incompatible interaction, pyruvate dehydrogenase (spot no. 77) was increased in abundance, but in the susceptible genotype it did not changed significantly. Levels of all three isoforms of malate dehydrogenase (spot nos. 24, 38, and 84) were increased in resistant genotype in contrast to the down-regulation in susceptible genotype. In the light of the earlier reports it is presumed that the up-regulation of these proteins triggers the TCA cycle to provide additional energy for defense response through the generation of pyruvate and NADPH .
Redirecting carbohydrate flux towards pentose phosphate pathway
Researchers have shown that the resistance to pathogens involves activation of multiple metabolic pathways to support cellular energy requirements [22, 23]. In the present study, several proteins involved in primary metabolism underwent significant changes in expression levels upon MYMIV infection. Among these, four enzymes of the pentose phosphate pathway (PPP), including ribose-5-phosphate isomerase (spot nos. 48 and 89), gamma hydroxybutyrate dehydrogenase (spot no. 86), a hypothetical protein (spot no. 47) and sedoheptulose-bisphosphatase (spot no. 43) were increased exclusively during incompatible interaction (Additional file 9: Figure S7). Such differential regulation suggests a redirection of metabolic flux towards PPP, possibly an adaptive strategy to survive under oxidative stress . Thus, our conjecture is that the induction of the PPP is an active response of resistant genotype against MYMIV infection to enhance resistance. This proposition is also supported by the increased level of soluble sugar during incompatible interaction (Figure 1A). The enhancement of defence reactions is most likely mediated by the dual role of soluble sugars being fuel for metabolism and signal for defense-related genes activation.
Secondary metabolism related proteins
The chavicol-o-methyltransferase (spot no. 63), a protein involved in phenylpropanoid pathway was increased significantly upon virus infection in resistant genotype. Level of this protein was declined in susceptible genotype. Induction of phenylpropanoid pathway also leads to the accumulation of salicylic acid, phytoalexins, antimicrobials, proline rich cell wall precursor, glycoproteins etc. all of which orchestrate together in the defense response against the pathogen.
Isoflavone reductase-like protein (spot no. 17), one of the key enzymes of isoflavonoid biosynthesis was up-regulated only during incompatible interaction. The induction of secondary metabolism is also supported by increased level of total phenolic content during incompatible interaction (Figure 2B). This is an explicit evidence of the adaptive strategy of the resistant plant against MYMIV stress.
Among the unclasssified proteins, level of a glycine-rich protein, GRP (spot no. 95) was significantly increased in the resistant genotype, but not in the susceptible plants upon MYMIV infection. GRP adheres tightly with the cell wall polysaccharides and is reported to be involved in cell wall repair . Level of an ENT (EMSY N-terminal) domain containing protein (spot no. 93) increased significantly only during incompatible interaction, which has been implicated in chromatin remodeling . In Arabidopsis EMSY-like proteins were reported to be involved in race specific immunity . Further work on this protein may reveal some novel information regarding plant pathogen interaction.
Biological network analysis of the differentially abundant proteins
In this study, we have reported for the first time the protein profiling during compatible and incompatible interactions between MYMIV and V. mungo. Biochemical and proteomic analyses revealed early accumulation of the defense/stress related proteins involved in ROS metabolism during incompatible host-virus interaction triggers MYMIV-resistance. An increase in SOD activity with concurrent decrease in CAT activity results in increased accumulation of H2O2 which restrict virus multiplication in the resistant genotype. The consequent oxidative stress to the plant is countered by increased activity of APX. In the susceptible genotype, a decrease in the amount of proteins involved in the energy metabolism was observed after MYMIV inoculation attributed to the appearance of disease symptoms. Presumably ankyrin repeat domain containing protein serves as a nodal protein inducing SAR activity by interacting with several disease resistant proteins as shown in the biological network. Remarkably, during defense response redirection of carbohydrate flux towards pentose phosphate pathway occurred in resistant genotype of V. mungo. High turnover of photosynthetic proteins during incompatible interaction suggests that resistant plants evoke defense mechanisms to protect the photosynthetic machinery and enhance photosynthetic performance upon virus infection. Revelation of differential abundance of key cellular and regulatory proteins upon MYMIV stress elucidates molecular mechanism of defense response in V. mungo and establishment of the YMD. The data presented here is in concurrence with the view that partial over-lapping of different stress responses takes place and several cross-talk points are revealed.
Plant materials and virus inoculation
Seeds of V. mungo Cv. T9 (MYMIV-susceptible) obtained from the Pulse and Oilseed Research Station, Behrampur, Murshidabad, India and MYMIV-resistant genotype, VM4 were used in this study [7, 28]. Whiteflies (Bemisia tabaci), the vector of MYMIV, were reared at the insectry room, Madhyamgram Experimental Farm, Bose Institute, Kolkata and virus inoculation was performed as described previously . Three-week-old plants (T9 and VM4) were inoculated either with non viruliferous whiteflies (mock inoculation) or viruliferous whiteflies. The leaf tissues of both mock and MYMIV inoculated samples were harvested at 0, 3, 7 and 14 days post inoculation (dpi) for subsequent analyses.
Determination of chlorophyll and carotenoid content
Chlorophyll a (Chl a), chlorophyll b (Chl b) and total carotenoids were determined spectrophotometrically . The leaves extracted with 85% (v/v) aqueous acetone were centrifuged at 4000 rpm for 10 min. After suitable dilution, the extinction coefficient of the supernatant was measured at three wavelengths of 452.5, 644 and 663 nm using a Beckman Coulter DU® 520 UV–vis spectrophotometer (USA).
Estimation of total carbohydrate content
Carbohydrate content was determined in the aqueous solution with anthrone sulfuric acid reagent . The amount of insoluble carbohydrates was calculated from the difference between the amount of the total and soluble carbohydrates.
Hydrogen peroxide and total phenolic content
Antioxidant enzyme assays
Leaf tissues (0.5 g) were ground in a pre-chilled mortar and pestle in liquid nitrogen with 5 mL extraction buffer (50 mM potassium phosphate buffer pH 7.5, 1 mM EDTA, 1 mM PMSF). The homogenate was centrifuged at 8000 rpm for 15 min at 4°C and the supernatant collected. The activity of SOD was assayed by measuring the inhibition of photoreduction of nitro-blue tetrazolium . One unit of enzyme activity is defined as the amount of enzyme required to inhibit the NBT reduction by 50%. The activity of CAT was determined spectrophotometrically by measuring the rate of H2O2 disappearance at 240 nm, taking Δε at 240 nm as 39.4 mM−1 cm−1 . The APX was assayed as described by Nakano and Asada . APX and CAT activity was expressed as nkat mg−1 protein.
Measurement of fluorescence induction kinetics
The Chlorophyll fluorescence induction kinetics was measured using a Plant Efficiency Analyzer (PEA, Hansatech, King's Lynn, Northfolk, England) . The leaves were dark adapted for 30 min and the transient was induced by the red light of about 3400 μmol (photon) m-2s-1 provided by an array of 3 light-emitting diodes (peak 650 nm). The fluorescence signal is received by the sensor head during recording and is digitized in the control unit using a fast digital converter. The variable fluorescence (Fv = Fm – F0) and the ratio of variable and maximum fluorescence (Fv/Fm) were calculated. The energy pipeline model was prepared using the Biolyzer HP 3 software (the chlorophyll fluorescence analyzing program by Bioenergetics Laboratory, University of Geneva, Switzerland).
Leaf proteome isolation and 2-DE
The leaf proteome was isolated according to Isaacson et al. with minor modifications [8, 37]. The detailed experiments are described in the MIAPE (http://miapegeldb.expasy.org/ experiment/129/). Tissue of the samples collected from five independent plants were pooled to isolate protein and considered as one biological replicate to minimize plant to plant variations. Three biological replicates were also prepared for control and each of the infected samples. Protein concentration was estimated following the method of Bradford . The 2-DE was performed according to the manufacturer’s recommendation (Bio-Rad). After electrophoresis, the gels were stained by Coomassie Brilliant Blue stain (0.1% Coomassie Brilliant Blue G-250, Sigma, in 50% v/v methanol/ 10% v/v acetic acid) for 12 h on an orbital shaker. Thereafter, the gels were rinsed with distilled water, followed by agitation in a destaining solution. The gels were stored in 5% acetic acid at 4°C for further analysis.
Image acquisition and statistical analysis
Coomassie stained 2-D gels were digitalized using VersaDoc™ (Model 4000) Imaging System (Bio-Rad) and analyzed with PDQuest Advanced™ 2-D Analysis software (version 8.0.1, Bio-Rad). Spots were detected automatically by the Spot Detection Parameter Wizard using the Gaussian model with keeping the background sensitivity level at 4. To compare spot quantities across gels accurately, non-expression-related variations in spot intensity was compensated through normalization by local regression model. Three well-separated gels of control and infected (3, 7 and 14 dpi) samples of both T9 and VM4 were used to create “replicate groups” and quantitative analyses were performed between the control group and each corresponding infected group. The relative change in protein abundance were estimated between limit (±2-fold) and outside limits (> + 2-fold or < −2-fold) with respect to control. The normalized coefficient of variation (CV) within the different gels in the same group was calculated to examine variation in spot quantity.
The relevant protein spots were excised using EXQuest Spot Cutter (Bio-Rad) from the 2-D gels. In-gel digestion was performed as previously described . Mass spectra were obtained on an Autoflex II MALDI TOF/TOF (Bruker Daltonics, Germany) mass spectrometer equipped with a pulsed N2 laser (λ = 337 nm, 50 Hz), and database search performed as previously described .
The identified proteins were functionally annotated using Blast2GO V.2.4.3 software . Protein sequences acquired from accession numbers assigned in mass spectrometric database were searched against NCBI non-redundant (NCBInr) database to perform BLASTp. The annotations of the identified proteins were made with default parameters. The assignment of identified the proteins into the different cellular pathways was done by the Kyoto Encyclopedia of Genes and Genomes (KEGG, http://www.genome.jp/kegg/kegg2.html) database in the Blast2GO software.
Total RNA isolation and reverse transcription
Total RNA was extracted from MYMIV-inoculated leaves of resistant genotype at different (12, 24, 36 and 48) hours post inoculation using the RNeasy Plant Mini Kit (Qiagen, USA) following manufacturer’s instruction. Integrity of the RNA samples were checked in 1% agarose gel and quantified at 260 nm using the ND-1000 spectrophotometer (Nanodrop Technologies, USA). First strand cDNAs were synthesized from 2 μg total RNA using the revertAid first strand cDNA synthesis kit (Fermentas) following manufacturer’s protocol.
Quantitative real-time RT-PCR (qRT-PCR) expression analysis
Time course expression profiles of six MYMIV-responsive transcripts were analyzed using qRT-PCR. Sequences of these ESTs were retrieved from the NCBI dbEST of a subtracted cDNA library of MYMIV- V. mungo incompatible interaction and primers were designed accordingly. The genes under consideration include Superoxide dismutase (SOD; HO223986), Thioredoxin (TRX; JG016041), Ascorbate peroxidase (APX; HO224008), Calmodulin (CaM; JK086513), Rubisco activase (RuAc; HO223989) and Pathogenesis related protein 1 (PR 1; HO223973). Two μl (50 ng/μl) of cDNA template was used in a 20 μl PCR mix containing 10 μl of SYBR Advantage qPCR Premix (2X) (Clontech) and 0.2 μm of custom designed forward and reverse primer. Real time PCR was carried out with iQ5 quantitative real time PCR system (Bio-Rad) under the following conditions: an initial denaturation at 95°C for 30 sec was followed by 40 cycles of 5 sec at 95°C, 30 sec at 60°C. On completion of each run, a dissociation curve analysis was done to check the specificity of the primers and absence of primer dimmers by heating the samples from 60 to 95°C. Raw fluorescence data were analysed by iQ5 Optical system software (Bio-Rad) and fold change was calculated using the 2-ΔΔCt method  after normalization with the housekeeping gene actin.
Protein network analysis
Pathway Studio 7.1 software (Ariadne Genomics, Rockville, MD, USA) was used to study functional interactions and possible pathways among the identified proteins . The accession numbers (MSDB/Swissprot or NCBInr) of the significant proteins with differential abundance were converted to TAIR (The Arabidopsis Information Resource) IDs by performing TAIR BLAST 2.2.8. To establish the relationship between proteins and cellular processes, the TAIR IDs were imported to Pathway Studio 7.1 and an interaction network was constructed that included the upstream regulators and downstream targets of the proteins. Each identified cellular process was confirmed via the PubMed/Medline hyperlink embedded in each node.
SK did this work as part of his Ph.D. thesis and now working as a post-doc. DC did this work during his post-doc and now serving as an Assistant Professor in the Department of Bioscience and Biotechnology, Banasthali Vidyapith, Rajasthan 302044, India. AK has just submitted his Ph.D. thesis. AP is a Senior Professor in the Department of Plant Biology, Bose Institute, India and mainly involved in deciphering plant pathogen interactions at the genetical, genomic and proteomic level.
The authors thank the Department of Biotechnology, India, for the financial assistance (BT/01/COE/06/03) and research fellowships to D.C. and S.K.; the Director, Bose Institute for providing lab facilities. The proteomic facilities provided by DST through IRHPA project (IR/SO/LF02/2002) and SERC project (SR/SO/PS-58/05) are also thankfully acknowledged.
- Yang C, Guo R, Jie F, Nettleton D, Peng J, Carr T, Yeakley JM, Fan JB, Whitham SA: Spatial analysis of Arabidopsis thaliana gene expression in response to Turnip mosaic virus infection. Mol Plant Microbe In 2007, 20: 359–370.View ArticleGoogle Scholar
- Van Loon LC, Pierpoint WS, Boller T, Conejero V: Recommendations for naming plant pathogenesis–related proteins. Plant Mol Biol Rep 1994, 12: 245–264. 10.1007/BF02668748View ArticleGoogle Scholar
- Sels J, Mathys J, De Coninck BMA, Cammue BPA, De Bolle MFC: Plant pathogenesis-related (PR) proteins: A focus on PR peptides. Plant Physiol Biochem 2008, 46: 941–950. 10.1016/j.plaphy.2008.06.011PubMedView ArticleGoogle Scholar
- Durrant WE, Dong X: Systemic acquired resistance. Annu Rev Phytopathol 2004, 42: 185–209. 10.1146/annurev.phyto.42.040803.140421PubMedView ArticleGoogle Scholar
- Oliveira JTA, Andrade NC, Martins-Miranda AS, Soares AA, Gondim DMF, Araújo-Filho JH, Freire-Filho FR, Vasconcelos IM: Differential expression of antioxidant enzymes and PR-proteins in compatible and incompatible interactions of cowpea ( Vigna unguiculata ) and the root-knot nematode Meloidogyne incognita . Plant Physiol Biochem 2012, 51: 145–152.PubMedView ArticleGoogle Scholar
- Torres MA: ROS in biotic interactions. Physiol Plantarum 2010, 138: 414–429. 10.1111/j.1399-3054.2009.01326.xView ArticleGoogle Scholar
- Basak J, Kundagrami S, Ghosh TK, Pal A: Development of yellow mosaic virus (YMV) resistance linked DNA marker in Vigna mungo from populations segregating for YMV–reaction. Mol Breed 2005, 14: 375–383. 10.1007/s11032-005-0238-6View ArticleGoogle Scholar
- Kundu S, Chakraborty D, Pal A: Proteomic analysis of salicylic acid induced resistance to Mungbean Yellow Mosaic India Virus in Vigna mungo . J Proteomics 2011, 74: 337–349. 10.1016/j.jprot.2010.11.012PubMedView ArticleGoogle Scholar
- Molloy MP, Brzezinski EE, Hang J, McDowell MT, VanBogelen RA: Overcoming technical variation and biological variation in quantitative proteomics. Proteomics 2003, 3: 1912–1919. 10.1002/pmic.200300534PubMedView ArticleGoogle Scholar
- Gara LD, Pinto MC, Tommasi F: The antioxidant systems vis-à-vis reactive oxygen species during plant–pathogen interaction. Plant Physiol Biochem 2003, 41: 863–870. 10.1016/S0981-9428(03)00135-9View ArticleGoogle Scholar
- Kiba A, Nishihara M, Tsukatani N, Nakatsuka T, Kato Y, Yamamura S: A peroxiredoxin Q homolog from Gentians is involved in both resistance against fungal disease and oxidative stress. Plant Cell Physiol 2005, 46: 1007–1015. 10.1093/pcp/pci109PubMedView ArticleGoogle Scholar
- Valcu CM, Junqueira M, Shevchenko A, Schlink K: Comparative proteomic analysis of responses to pathogen infection and wounding in Fagus sylvatica . J Proteome Res 2009, 8: 4077–4091. 10.1021/pr900456cPubMedView ArticleGoogle Scholar
- Orsini F, Cascone P, DePascale S, Barbieri G, Corrado G, Rao R, Maggio A: Systemin–dependent salinity tolerance in tomato: evidence for specific convergence of abiotic and biotic stress responses. Physiol Plant 2010, 138: 10–21. 10.1111/j.1399-3054.2009.01292.xPubMedView ArticleGoogle Scholar
- Evans NH, McAinsh MR, Hetherington AM: Calcium oscillations in higher plants. Curr Opin Plant Biol 2001, 4: 415–420. 10.1016/S1369-5266(00)00194-1PubMedView ArticleGoogle Scholar
- Yang T, Poovaiah BW: Calcium/calmodulin–mediated signal network in plants. Trends Plant Sci 2003, 8: 505–512. 10.1016/j.tplants.2003.09.004PubMedView ArticleGoogle Scholar
- Grant JJ, Loake GJ: Role of reactive oxygen intermediates and cognate redox signaling in disease resistance. Plant Physiol 2000, 124: 21–30. 10.1104/pp.124.1.21PubMed CentralPubMedView ArticleGoogle Scholar
- Hu X, Zhang H, Li G, Yang Y, Zheng Z, Song F: Ectopic expression of a rice protein phosphatase 2C gene OsBIPP2C2 in tobacco improves disease resistance. Plant Cell Rep 2009, 28: 985–995. 10.1007/s00299-009-0701-7PubMedView ArticleGoogle Scholar
- Mou Z, Fan W, Dong X: Inducers of plant systemic acquired resistance regulate NPR1 function through redox changes. Cell 2003, 113: 935–944. 10.1016/S0092-8674(03)00429-XPubMedView ArticleGoogle Scholar
- Dong X: Genetic dissection of systemic acquired resistance. Curr Opin Plant Biol 2001, 4: 309–314. 10.1016/S1369-5266(00)00178-3PubMedView ArticleGoogle Scholar
- Tada Y, Spoel SH, Pajerowska–Mukhtar K, Mou Z, Song J, Wang C, Zuo J, Dong X: Plant immunity requires conformational changes of NPR1 via S–nitrosylation and thioredoxins. Science 2008, 32: 952–956.View ArticleGoogle Scholar
- Zulak KG, Khan MF, Alcantara J, Schriemer DC, Facchini PJ: Plant defense responses in opium poppy cell cultures revealed by liquid chromatography–tandem mass spectrometry proteomics. Mol Cell Proteomics 2009, 8: 86–98. 10.1074/mcp.M800211-MCP200PubMedView ArticleGoogle Scholar
- Bolton MD, Kolmer JA, Xu WW, Garvin DF: Lr34–mediated leaf rust resistance in wheat: Transcript profiling reveals a high energetic demand supported by transient recruitment of multiple metabolic pathways. Mol Plant Microbe In 2008, 21: 1515–1527. 10.1094/MPMI-21-12-1515View ArticleGoogle Scholar
- Scheideler M, Schlaich NL, Fellenberg K, Beissbarth T, Hauser NC, Vingron M, Slusarenko AJ, Hoheisel JD: Monitoring the switch from housekeeping to pathogen defense metabolism in Arabidopsis thaliana using cDNA arrays. J Biol Chem 2002, 277: 10555–10561. 10.1074/jbc.M104863200PubMedView ArticleGoogle Scholar
- Grant CM: Metabolic reconfiguration is a regulated response to oxidative stress. J Biol 2008, 7: 1. 10.1186/jbiol63PubMed CentralPubMedView ArticleGoogle Scholar
- Ringlia C, Keller B, Ryserb U: Glycine–rich proteins as structural components of plant cell walls. Cell Mol Life Sci 2001, 58: 1430–1441. 10.1007/PL00000786View ArticleGoogle Scholar
- Hughes-Davies L, Huntsman D, Ruas M, Fuks F, Bye J, Chin SF, Milner J, Brown LA, Hsu F, Gilks B, Nielsen T, Schulzer M, Chia S, Ragaz J, Cahn A, Linger L, Ozdag H, Cattaneo E, Jordanova ES, Schuuring E, Yu DS, Venkitaraman A, Ponder B, Doherty A, Aparicio S, Bentley D, Theillet C, Ponting CP, Caldas C, Kouzarides T: EMSY links the BRCA2 pathway to sporadic breast and ovarian cancer. Cell 2003, 115: 523–535. 10.1016/S0092-8674(03)00930-9PubMedView ArticleGoogle Scholar
- Tsuchiya T, Eulgem T: EMSY–like genes are required for full RPP7–mediated race–specific immunity and basal defense in Arabidopsis . Mol Plant Microbe In 2011, 24: 1573–1581. 10.1094/MPMI-05-11-0123View ArticleGoogle Scholar
- Kundagrami S, Basak J, Maiti S, Kundu A, Das B, Ghosh TK, Pal A: Agronomic, genetic and molecular characterization of MYMIV tolerant mutant lines of Vigna mungo . Int J Plant Breed Genet 2009, 3: 1–10. 10.3923/ijpbg.2009.1.10View ArticleGoogle Scholar
- Metzner H, Rau H, Senger H: Studies on synchronization of some pigment-deficient Chlorella mutants. Planta 1965, 65: 1861–1894.View ArticleGoogle Scholar
- Radwan DEM, Fayez KF, Mahmoud SY, Hamad A, Lu G: Physiological and metabolic changes of Cucurbita pepo leaves in response to Zucchini yellow mosaic virus (ZYMV) infection and salicylic acid treatments. Plant Physiol Biochem 2007, 45: 480–489. 10.1016/j.plaphy.2007.03.002PubMedView ArticleGoogle Scholar
- Velikova V, Yordanov L, Edreva A: Oxidative stress and some antioxidant systems in acid rain–treated bean plants: Protective role of exogenous polyamines. Plant Sci 2000, 151: 59–66. 10.1016/S0168-9452(99)00197-1View ArticleGoogle Scholar
- Singleton VL, Orthofer R, Lamuela–Raventos RM: Analysis of total phenol and other oxidation substrates and antioxidants by means of Folin–Ciocalteu reagent. Methods Enzymol 1999, 299: 152–178.View ArticleGoogle Scholar
- Beauchamp C, Fridovich I: Superoxide dismutase: improved assays and an assay applicable to acrylamide gels. Anal Biochem 1971, 44: 276–287. 10.1016/0003-2697(71)90370-8PubMedView ArticleGoogle Scholar
- Miyagawa Y, Tamoi M, Shigeoka S: Evaluation of the defense system in chloroplasts to photooxidative stress caused by paraquat using transformed tobacco plants expressing catalase from Escherichia coli . Plant Cell Physiol 2000, 41: 311–320. 10.1093/pcp/41.3.311PubMedView ArticleGoogle Scholar
- Nakano Y, Asada K: Hydrogen peroxide is scavenged by ascorbate- specific peroxidase in spinach chloroplasts. Plant Cell Physiol. 1981, 22: 867–880.Google Scholar
- Strasser RJ, Srivastava A, Govindjee : Polyphasic chlorophyll a fluorescence transient in plants and cyanobacteria. Photochem Photobiol 1995, 61: 32–42. 10.1111/j.1751-1097.1995.tb09240.xView ArticleGoogle Scholar
- Isaacson T, Damasceno CMB, Saravanan RS, He Y, Catala C, Saladie M, Rose JKC: Sample extraction techniques for enhanced proteomic analysis of plant tissues. Nat Protoc 2006, 1: 769–774. 10.1038/nprot.2006.102PubMedView ArticleGoogle Scholar
- Bradford MM: A rapid and sensitive method for quantification of proteins utilizing the principle of protein dye binding. Anal Biochem 1976, 72: 248–254. 10.1016/0003-2697(76)90527-3PubMedView ArticleGoogle Scholar
- Kundu S, Chakraborty D, Das KP, Pal A: An efficient in-gel digestion protocol for mass spectral analysis by MALDI-TOF-MS and MS/MS and its use for proteomic analysis of leaves of Vigna mungo . Plant Mol Biol Rep 2013, 31: 47–54. 10.1007/s11105-012-0475-xView ArticleGoogle Scholar
- Conesa A, Gotz S, Garcia–Gomez JM, Terol M, Talon M, Robles M: Blast2GO: a universal tool for annotation, visualization and analysis in functional genomics research. Bioinformatics 2005, 21: 3674–3676. 10.1093/bioinformatics/bti610PubMedView ArticleGoogle Scholar
- Livak KJ, Schmittgen TD: Analysis of relative gene expression data using real-time quantitative PCR and the 2 -ΔΔCt method. Methods 2001, 25: 402–408. 10.1006/meth.2001.1262PubMedView ArticleGoogle Scholar
- Nikitin A, Egorov S, Daraselia N, Mazo I: Pathway studio–the analysis and navigation of molecular networks. Bioinformatics 2003, 19: 2155–2157. 10.1093/bioinformatics/btg290PubMedView ArticleGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.