Proteomic analysis of soybean defense response induced by cotton worm (prodenia litura, fabricius) feeding
© Fan et al; licensee BioMed Central Ltd. 2012
Received: 28 October 2011
Accepted: 8 March 2012
Published: 8 March 2012
Cotton worm is one of the main insects of soybean in southern China. Plants may acquire defense mechanisms that confer protection from predation by herbivores. Induced responses can lead to increased resistance against herbivores in many species. This study focuses on searching changed proteins in soybean defense response induced by cotton worm feeding.
Ten protein spots that are changed in abundance in response to cotton worm feeding were identified by Two-dimensional gel electrophoresis (2-DE). A total of 11 unique proteins from these spots were identified by MALDI-TOF MS. The mRNA and protein relative expression levels of most changed proteins were up-regulated. These proteins were mainly involved in physiological processes, including active oxygen removal, defense signal transduction, and metabolism regulation.
This is the first proteomic analysis of the soybean defense response induced by cotton worm. The differentially expressed proteins could work together to play a major role in the induced defense response. PAL and SAMS were up-regulated at both the protein and mRNA levels. These genes can be strongest candidates for further functional research.
KeywordsSoybean Induced resistance 2-DE qRT-PCR
As an important economic crop, soybean provides significant sources of fatty acids, proteins, vitamins, minerals and other nutrients for humans and animals, and it also has nonfood uses, such as in the production of industrial feedstocks and combustible fuels [1, 2]. However, insect pests can adversely affect the yield and quality of soybean. Cotton worm is one of the main insect pests of soybean in southern China [3, 4]. Therefore, improvement in resistance to cotton worm is one of the main soybean breeding objectives.
During the process of evolution, plants have acquired defense mechanisms that confer protection from predation by herbivores. Two modes of resistance to herbivores exist: constitutive resistance, which is expressed independent of an attack; and induced resistance, which is activated only after the plant is attacked or otherwise injured . Compared with constitutive resistance, induced resistance may be more durable and compromises plant fitness less by either decreasing further herbivore damage or increasing plant tolerance to herbivory . Induced responses that lead to increased resistance against herbivores have been reported for over 100 species of plants, such as Arabidopsis [7–9], tobacco , tomato [11, 12], rice , and soybean [14–16]. The resistance responses induced in plants change with different attackers. For example, the level of resistance induced by soybean looper herbivory with subsequent bean leaf beetle feeding was higher than that induced by bean leaf beetle herbivory with subsequent soybean looper feeding . Resistance induced by the soybean looper, Mexican bean beetle and corn earworm in soybean has been reported in many studies [14–17]. However, induction of resistance in soybean by cotton worm has not been reported.
Many studies have investigated the induced defense response mechanism of plants. The plant hormones salicylic acid (SA), jasmonic acid (JA) and ethylene (ET) are the main players in the regulation of signaling networks involved in induced defense [18–21]. In general, pathogens are more sensitive to SA-dependent responses, whereas herbivorous insects and necrotrophic pathogens are resisted by JA/ET-dependent defenses [22–24]. Ample evidence indicates JA is the main signaling molecule that mediates a plant's defense system against herbivores [19, 23]. A classic example is the observation that following attack by Manduca sexta larvae, tomato (Solanum lycopersicum) leaves accumulate JA, which results in the activation of genes encoding proteinase inhibitor proteins that inhibit digestive Ser proteinases of herbivorous insects and reduce further insect feeding [8, 25]. Induced defense response mechanisms also involve the production of defensive compounds, such as proteinase inhibitors that affect insect feeding [25, 26], volatile organic compounds that attract parasitoids and predators of the herbivores that feed on the plant [18, 27] and extrafloral nectar that arrests carnivorous arthropods on herbivore-infested plants .
Proteomics is a powerful tool for the study of protein dynamics, especially in plant stress responses [29, 30]. Analysis of protein profiling is important to understand how genes/proteins are regulated. In the present study, we found that soybean resistance to cotton worm increased after induction of resistance by cotton worm feeding. To investigate which proteins are involved in this induced defense response, we used proteomic approaches to provide an overview of the cotton worm-induced defense response in soybean. Ten protein spots showed differential expression patterns in soybean leaves in response to cotton worm feeding, and 11 proteins were identified. Quantitative RT-PCR (qRT-PCR) analysis indicated differentially expressed proteins also showed changes in mRNA expression level.
Results and discussion
Induction of soybean defense response by cotton worm feeding
Plants do not exhibit induced resistance to insects unless subjected to a certain degree of damage. In pre-experiments, soybean treated with cotton worm feeding shown induced resistance at a damage level of 20-30% and the levels of resistance were not increased significantly when the damage area increased. The capacity for induced resistance showed no difference also at a damage level between 15-45% in mountain birch . However, when leaf damage constitutes 50% of the leaf area, induced resistance was produced in Quercus garryana . The timing of induced resistance to herbivory is known to vary between plant species. Usually, in herbaceous plants, the longevity of induced resistance is several days [34–36]. The timing of induced resistance varied with the insect species feeding on soybean. The longevity of resistance induced by C. trifurcata was two weeks . The induced response was effective for 3 days after damage against the Mexican bean beetle in soybean. After 15 days, the strength of resistance had declined and by 20 days, all four genotypes exhibited induced susceptibility . In this study, the longevity of induced resistance produced by cotton worm was 5 days.
Changes of proteins in soybean leaves induced by cotton worm feeding
Identification of proteins involved in cotton worm-induced defense response in soybean
Identification of differentially expressed protein spots by MALDI-TOF MS
Sequence coverage (%)
serine/threonine kinase-related protein
carboxylase/oxygenase large subunit
Vegetative storage protein A
cytosolic phosphoglycerate kinase
ATP synthase beta subunit
20S proteasome alpha subunit
Levels of mRNA are not always consistent with the levels of the corresponding proteins [40, 41]. Three potential reasons for the lack of a strong correlation between mRNA and protein expression levels have been proposed: (i) translational regulation; Because of many complicated and varied post-transcriptional events, the transcriptome might not always be reflected at proteome levels [42–44]. (ii) differences in protein in vivo half-lives [42, 43]; and (iii) significant experimental error, there is a significant amount of error and noise in both protein and mRNA experiments that limit our ability to get a clear picture.
Differentially expressed proteins
Spot 1 was up-regulated in response to cotton worm feeding, which was identified as serine/threonine kinase (STK)-related protein (Figure 4A and 5A). As a signal protein, STK regulates a variety of cellular processes [45, 46]. This study found that STK involved in soybean defense responses induced by cotton worm feeding. Previously, it has been reported that STK was shown to be involved in plant defense responses and induced by low temperature, Soybean mosaic virus, and SA [47–49].
Spots 2 and 9 were up-regulated and were identified as ribulose-1,5-bisphosphate carboxylase/oxygenase (RubisCO) large subunit(Figures 4B, I and 5B). RubisCO is the most abundant protein in plants and plays a major role in photosynthesis. RubisCO large subunit is up-regulated under stress, which might be indicative of the protective and more active action of carbon assimilation machinery .
Spot 3 was identified as vegetative storage protein α (VSPα). This protein was up-regulated at both protein and mRNA levels (Figures 4C and 5C). The best-characterized VSPs are soybean VSPα and VSPβ VSPs are thought to serve as a transient reserve that sequesters unused amino acids during plant development. Once new seed production begins, stored VSPs presumably make nitrogen and other nutrients immediately available for seed development . This hypothesis, however, was not supported by transgenic soybean in which VSP expression was abolished and seed production was unaffected even under nitrogen-deprived conditions . Thus VSPs may serve other functions beyond source-sink interaction or plant productivity. Arabidopsis VSP transcripts are induced by mechanical wounding, JA, insect herbivory, and osmotic and nutritional stresses [9, 19, 53–55], which is a common response shared by many genes encoding anti-insect proteins. Liu et al. found AtVSP2 is an anti-insect acid phosphatase . Whether soybean VSPα has an anti-insect function needs further study.
Spot 4 showed up-regulation at 0 h and was identified as cytosolic phosphoglycerate kinase (PGK) (Figure 4D). It was up-regulated at all sample timepoints at the mRNA level (Figure 5D). PGK is an enzyme that catalyzes the formation of ATP from ADP and vice versa. In the second step of the second phase in glycolysis, 1,3-bisphosphoglycerate is converted to 3-phosphoglycerate, forming one molecule of ATP. If the reverse occurs, one molecule of ADP is formed. This reaction is essential in most cells for ATP generation in aerobes, for fermentation in anaerobes, and for carbon fixation in plants. Under stress conditions, do plants need to energy has not yet been reported.
Spot 5 was identified as ATP synthase β subunit and malate dehydrogenase (MDH). These proteins were up-regulated at the mRNA level (Figure 5E-1 and 5E-2). ATP synthase is an important enzyme that generates energy for the cell to use through the synthesis of ATP. ATP synthase β was up-regulated in the rice defense response induced by probenazole . MDH is an enzyme in the citric acid cycle that catalyzes the conversion of malate into oxaloacetate (using NAD+) and vice versa (this is a reversible reaction). MDH is not to be confused with malic enzyme, which catalyzes the conversion of malate to pyruvate, producing NADPH. MDH is involved in many physiological activities, such as the organelle shuttle system, plant disease resistance, and metabolism of reactive oxygen species.
Spot 6 was identified as phenylalanine ammonialyase (PAL). This protein was up-regulated at both the protein and mRNA levels (Figures 4F and 5F). It is clear that PAL plays a key role in induced disease resistance based on induction of its expression by pathogens or elicitors, and on studies using transgenic approaches in tobacco [57, 58]. PAL is the first enzyme in the phenylpropanoid pathway. In plants, PAL can supply the precursors for lignin, flavonoid pigments, protectants, and furanocoumarin phytoalexins . Lignin has a positive effect on plant resistance to insects. Based on its up-regulation in the soybean defense response induced by cotton worm feeding, PAL might play a key role in cotton worm-induced resistance.
Spot 7 was identified as S-adenosylmethionine synthetase (SAMS). This protein was up-regulated at both the protein and mRNA levels (Figure 4G and 5G). Previous studies showed that increased expression of SAMS was induced by mechanical wounding, JA, insect herbivory, chilling, and salinity stress [60–63]. SAMS is a key enzyme that catalyzes the formation of S-adenosylmethionine (SAM) from methionine and ATP. SAM is a precursor of polyamines and ET. Polyamines play important roles in plant defense to a variety of environmental stresses [64, 65]. ET as a plant hormone that plays an important role in induced defense. Thus SAMS might play a key role in soybean induced resistance and warrants further study.
Spot 10 was identified as ascorbate peroxidase (APX) and 20S proteasome α subunit. These proteins were up-regulated at the mRNA level (Figure 5J-1 and 5J-2). APX is an enzyme in the ascorbate-glutathione cycle. The ascorbate-glutathione cycle is an important antioxidant protection system against H2O2 generated in different cell compartments. In this study, APX may contribute to induced resistance. Overexpression of the APX gene not only enhances the plant's antioxidant capacity, but also can enhance plant tolerance to drought, heat, salt and pathogens [66, 67]. In eukaryotic cells, most proteins in the cytosol and nucleus are degraded via the ubiquitin-proteasome pathway. The 26S proteasome is responsible for the degradation of damaged and misfolded proteins. A previous study showed that elicitation of defense reactions in tobacco cells by cryptogein, a proteinaceous elicitor of plant defense reactions, leads to a rapid and differential accumulation of transcripts corresponding to genes that encode defense-induced subunits of 20S proteasome .
In summary, all of the above proteins showed changed abundances induced by cotton worm feeding on soybean leaves. Thus the induced resistance might be a result of the combined effect of these proteins.
In order to better understand the defense response induced in soybean, we investigated the changes in the soluble proteome of soybean leaves damaged by cotton worm feeding using 2-DE and MALDI-TOF-MS. A total of 10 spots changed in abundance, from which 11 proteins were identified. These proteins are indicated to be involved in multiple physiological processes, including active oxygen removal, defense signal transduction and metabolism regulation. PAL and SAMS were up-regulated at both the protein and mRNA levels. It is clear that PAL plays a key role in induced disease resistance, and SAMS can catalyzes the production of many resistance-related material. They can be strongest candidates for further functional research.
Materials and methods
Plant materials, growth conditions and treatments
Seeds of soybean (Glycine max [L].Merr.cv. Nannong 99-10) were sown in 15 cm plastic pots that contained a sterile soil mixture (top soil:sand:vermiculite, 3:2:1). The seedlings were grown in a greenhouse maintained at 30 ± 5°C, 70 ± 10% RH, and a 14 h/10 h (day/night) photoperiod with supplementary metal-halide illumination. To prevent the interference of other insects, all potted plants were covered with gauze. The potted plants were watered once daily with the same volume of water. The developmental stages of soybean plants were defined as described by Fehr et al. .
Treatments of cotton worm (obtained from a colony maintained on an artificial diet) feeding and untreated (control) plants were applied to soybean plants at the V4 (vegetative stage with four nodes) stage of growth. Defoliation (about 20-30%) was induced by placing three third-instar cotton worm larvae on the first trifoliate leaf for 48 h, after which the larvae were removed. The leaves of control and treated plants at four sampling times (0 h, 6 h, 12 h and 24 h) after removal of the larvae were excised for identification of induced resistance, protein extraction and RNA extraction. There were three biological replications.
Identification of induced resistance
To evaluate soybean resistance induced by cotton worm, a dual-choice test and force-feeding experiment were conducted. In the dual-choice test, three to five leaves from each pair of experimental plants were arranged opposite each other at the margins of a porcelain dish (30 cm × 20 cm). Ten cotton worm larvae, previously starved for 24 h, were released into the middle area of the porcelain dish and allowed to feed for 12 h. Leaf area was measured by a LICOR-3000 area meter (LI-COR, Lincoln, NE). The consumed area in the control (C) and treatment (T) was used to calculate the feeding-preference index (PI), where PI = 2 T/(T + C) . The PI values ranged from 0 to 2, with PI = 1 indicating no feeding preference for either control or treatment leaves, PI > 1 indicating preference for treatment leaves, and PI < 1 indicating preference for control leaves. In the force-feeding experiment, control and treatment leaves were placed in 15-cm-diameter petri dishes, then five cotton worm larvae were placed in the dish. The relative growth rate (RGR) was calculated as RGR = (W1 - W2)/W1, where W1 and W2 are the weights of five cotton worm larvae before placement in the dish and after feeding for 24 h, respectively. Statistical analysis of the data was carried out using Microsoft Excel 2000. Each experiment was repeated thrice and the mean values and SD were calculated. Single factor ANOVA was carried out using SAS.
Total protein extraction
Total protein extraction for 2-DE was modified from the literature . Frozen soybean leaves (0.2 g) were ground with liquid N2 in ice-cold acetone (2 ml containing 10% w/v trichloroacetic acid 20 m DTT and 100 mM PMSF) after incubation at-20°C for 1 h, the proteins were precipitated by centrifugation at 19,000 × g for 15 min at 4°C. The pellet was washed with 3 ml ice-cold acetone containing 20 mM DTT five times by centrifugation at 19,000 × g for 15 min at 4°C until no chlorophyll was present in the acetone. The protein pellet was dried in vacuo and resuspended in lysis buffer (7 M urea, 2 M thiourea, 4% w/v CHAPS, 65 mM DTT, 0.2% v/v carrier ampholyte [pH 3.0-10.0] and 1 mM PMSF) by sonication. The insoluble debris was removed by ultracentrifugation at 45,000 × g for 15 min. The protein concentration was determined by the Bradford method with BSA as the standard . The protein samples were stored at -80°C until use.
The 2-DE experiment was performed essentially according to the Bio-Rad instruction (USA). To proceed with isoelectric focusing (IEF), Protein (250 μg) was resuspended in lysis buffer containing 0.2% (v/v) carrier ampholyte (pH 3.0-10.0), and 0.01% bromophenol blue and rehydrated with each 17 cm, pH 3-10 nonlinear immobilized pH gradient (IPG) trip for 13 h. IEF was carried out with a Protein IEF Cell (Bio-Rad) at 20°C in a stepwise manner: 250 V for 0.5 h, 500 V for 0.5 h, 1000 V for 1 h, 2000 V for 1 h, 8000 V for 5 h and 8000 V for 55,000 V h. After IEF, the IPGs were equilibrated by shaking at room temperature in equilibration buffer (6 M urea, 2% [w/v] SDS, 30% [v/v] glycerol, 50 mM Tris-HCl [pH 8.8]) containing 1% (w/v) DTT for 20 min followed by equilibration in buffer containing 3% (w/v) iodoacetamide for another 20 min. The equilibrated IPGs were transferred to a 12% polyacrylamide gel. Electrophoresis was performed in Tris/glycine/SDS buffer on a Multiphor system (Amersham Pharmacia Biotech) according to the manufacturer's recommendations. For calibration, low-molecular weight marker proteins (Amersham Biosciences) were applied on the gel via a small piece of filter paper. After electrophoresis, the 2-DE gels were stained with silver . The gels were fixed in 30% (v/v) ethanol, 10% (v/v) acetic acid for 30 min, and sensitized for 30 min in 30% (v/v) ethanol, 0.2% (w/v) sodium thiosulfate and 6.8% (w/v) sodium acetate, and then rinsed thrice in water, for 10 mimutes for each wash. Impregnated the gels with 0.25% (w/v) silver nitrate for 20 min, and then rinsed them twice for 1 min for each wash in water.
Transferred the gels in developer solution containing 2.5% (w/v) sodium carbonate and 0.02% (v/v) formaldehyde until the adequate degree of staining, then transferred them to 1.46% (w/v) ethylenediaminetetraacetic acid disodium salt stop solution for 30 minutes, last washed the gels twice in water for 10 min for each wash.
Gel image comparison and data analysis
Spot detection, spot measurement, background subtraction and spot matching were performed specifically after silver-staining of the gels using PDQuest software. Following automatic spot detection, gel images were carefully edited. Before spot matching, one of the gel images was selected as the reference gel. The amount of a protein spot was expressed as the volume of that spot which was defined as the sum of the intensities of all pixels that made up the spot. In order to correct for variability owing to silver-staining and to reflect the quantitative variation in intensity of protein spots, the spot volumes were normalized as a percentage of the total volume of all spots present in the gel. The resulting data from image analysis were transferred to PDQuest software for querying protein spots that showed quantitative or qualitative variations. Only those with significant changes (quantitative changes more than two-fold in abundance) were used for further study. Statistical analysis of the data was carried out using Microsoft Excel 2000. The standard deviation (SD) was calculated from three spots in different gels. Gel images used for statistical analysis were obtained from three independent biological repeats.
Protein identification and database searches
Silver-stained protein spots were excised, washed with 50% v/v acetonitrile in 0.1 M NH4HCO3 and dried in a vacuum centrifuge . Gel fragments were reduced in 20 μl of 10 mM DTT with 0.1 M NH4HCO3 for 45 min at 55°C. After cooling, the DTT solution was replaced with 55 mM iodoacetamide in 0.1 M NH4HCO3. After washing, the dried gel pieces were rehydrated in 10 μl digestion buffer containing 25 mM NH4HCO3 and 12.5 ng/ml trypsin (Promega, Madison, WI, USA) and incubated at 37°C overnight. Tryptic-digested peptides were extracted. Samples were analyzed by MALDI-TOF-MS and tandem TOF/TOF MS on a time-of-flight Autolex III mass spectrometer (Bruker Daltonics, Bremen, Germany). Peptide mass maps were acquired in positive reflection mode, averaging 400 laser shots per MALDI-TOF spectrum (resolution was 15,000-20,000). The Bruker calibration mixtures were used to calibrate the spectrum to a mass tolerance within 0.1 Da.
The peak list file containing the m/z ratios of precursor ions and MS/MS fragmented ions was used in searches of the web-based search engine Mascot http://www.matrixscience.com against the most recent database in the National Center for Biotechnology Information (NCBI). The initial search used green plants as the taxon. The other parameters for the searches were: enzyme trypsin; one or two missed cleavages; variable modifications of carbamidomethyl (Cys), oxidation (Met), and pyro-Glu (Nterminal Glu); peptide tolerance of 0.1-0.5 Da; MS/MS tolerance of 0.2 Da; peptide charge of 1+ 2+; and monoisotopic. Only significant hits, as defined by the MASCOT probability analysis (P < 0.05), were accepted.
Real-time quantitative RT-PCR
Primer sequences used for qRT-PCR
Forward primer (5'→3')
Reverse primer (5'→3')
serine/threonine kinase related protein
ribulose-1,5-bisphosphate carboxylase/oxygenase large subunit
Vegetative storage Protein α
cytosolic phosphoglycerate kinase
ATP synthase beta subunit
20S proteasome alpha subunit A
This work was supported in part by the National Basic Research Program of China (973 Program) (nos. 2010CB125906 and 2009CB118400), and the National Natural Science Foundation of China (nos. 30800692, 31000718, and 31171573).
- Krishnan HB: Biochemistry and molecular biology of soybean seed storage proteins. New Seeds 2000, 2: 1–25. 10.1300/J153v02n04_01View ArticleGoogle Scholar
- Thelen JJ, Ohlrogge JB: Metabolic engineering of fatty acid biosynthesis in plants. Metab Eng 2002, 4: 12–21. 10.1006/mben.2001.0204View ArticleGoogle Scholar
- Cui ZL, Gai JY: A study of leaf--feeding insect species on soybeans in Nanjing area. Soybean Science 1997, 16: 12–20.Google Scholar
- Zhan QW, Gai JY, Zhang YM, Sun ZD: Development and expression process of inheritance of resistance to cotton worm ( prodinia litura ) in soybeans. Acta Genetica Sinica 2001, 28: 956–963.Google Scholar
- Zhang PJ, Shu JP, Fu CX, Zhou Y, Hu Y, Zalucki MP, Liu SS: Trade-offs between constitutive and induced resistance in wild crucifers shown by a natural, but not an artificial, elicitor. Oecologia 2008, 157: 83–92. 10.1007/s00442-008-1060-8View ArticleGoogle Scholar
- Agrawal AA: Induced responses to herbivory and increased plant performance. Science 1998, 279: 1201–1202. 10.1126/science.279.5354.1201View ArticleGoogle Scholar
- Attaran E, Zeier TE, Griebel T, Zeier J: Methyl salicylate production and jasmonate signaling are not essential for systemic acquired resistance in Arabidopsis. The Plant Cell 2009, 21: 954–971. 10.1105/tpc.108.063164View ArticleGoogle Scholar
- De Vos M, Van Zaanen W, Koornneef A, Korzelius JP, Dicke M, Van Loon LC, Pieterse CMJ: Herbivore-induced resistance against microbial pathogens in Arabidopsis. Plant Physiol 2006, 142: 352–363. 10.1104/pp.106.083907View ArticleGoogle Scholar
- Stotz HU, Pittendrigh BR, Kroymann J, Weniger K, Fritsche J, Bauke A, Mitchell-Olds T: Induced plant defense responses against chewing insects. Ethylene signaling reduces resistance of Arabidopsis against Egyptian cotton worm but not diamondback moth. Plant Physiol 2000, 124: 1007–1018. 10.1104/pp.124.3.1007View ArticleGoogle Scholar
- Wu J, Hettenhausen C, Meldau S, Baldwin IT: Herbivory rapidly activates MAPK signaling in attacked and unattacked leaf regions but not between leaves of Nicotiana attenuata . Plant Cell 2007, 19: 1096–1122. 10.1105/tpc.106.049353View ArticleGoogle Scholar
- Egusa M, Akamatsu H, Tsuge T, Otani H, Kodama M: Induced resistance in tomato plants to the toxin-dependent necrotrophic pathogen Alternaria alternata. Physiol Mol Plant Pathol 2008, 73: 67–77. 10.1016/j.pmpp.2009.02.001View ArticleGoogle Scholar
- Luo Y, Caldwell KS, Wroblewski T, Wright ME, Michelmore RW: Proteolysis of a negative regulator of innate immunity is dependent on resistance genes in tomato and Nicotiana benthamiana and induced by multiple bacterial effectors. Plant Cell 2009, 21: 2458–2472. 10.1105/tpc.107.056044View ArticleGoogle Scholar
- Senthil-Nathan S, Kalaivani K, Choi MY, Paik CH: Effects of jasmonic acid-induced resistance in rice on the plant brownhopper, Nilaparvata lugens Stl (Homoptera: Delphacidae). Pestic Biochem Physiol 2009, 95: 77–84. 10.1016/j.pestbp.2009.07.001View ArticleGoogle Scholar
- Bi JL, Felton GW, Mueller AJ: Induced resistance in soybean to Helicoverpa zea: Role of plant protein quality. Chem Ecol 1994, 20: 183–198. 10.1007/BF02066000View ArticleGoogle Scholar
- Lin H, Kogan M: Influence of induced resistance in soybean on the development and nutrition of the soybean looper and the Mexican bean beetle. Entomol Exp Appl 1990, 55: 131–138. 10.1111/j.1570-7458.1990.tb01356.xView ArticleGoogle Scholar
- Srinivas P, Danielson SD, Smith CM, Foster JE: Cross-resistance and resistance longevity as induced by bean leaf beetle, Cerotoma trifurcata and soybean looper, Pseudoplusia includens herbivory on soybean. Insect Sci 2001, 1: 1–5.View ArticleGoogle Scholar
- Kraemer ME, Rangappa M, Gade W, Benepal PS: Induction of trypsin inhibitors in soybean leaves by Mexican bean beetle (Coleoptera: Coccinellidae) defoliation. Econ Entomol 1987, 80: 237–241.View ArticleGoogle Scholar
- Kessler A, Baldwin IT: Defensive function of herbivore-induced plant volatile emissions in nature. Science 2001, 291: 2141–2144. 10.1126/science.291.5511.2141View ArticleGoogle Scholar
- Reymond P, Farmer EE: Jasmonate and salicylate as global signals for defense gene expression. Curr Opin Plant Biol 1998, 1: 404–411. 10.1016/S1369-5266(98)80264-1View ArticleGoogle Scholar
- Ton J, Van Pelt JA, Van Loon LC, Pieterse CMJ: Differential effectiveness of salicylate-dependent and jasmonate/ethylene-dependent induced resistance in Arabidopsis. Mol Plant Microbe Interact 2002, 15: 27–34. 10.1094/MPMI.2002.15.1.27View ArticleGoogle Scholar
- Van Loon JJA, de Boer JG, Dicke M: Parasitoid-plant mutualism: parasitoid attack of herbivore increases plant reproduction. Entomol Exp Appl 2000, 97: 219–227. 10.1046/j.1570-7458.2000.00733.xView ArticleGoogle Scholar
- Glazebrook J: Contrasting mechanisms of defense against biotrophic and necrotrophic pathogens. Annu Rev Phytopathol 2005, 43: 205–227. 10.1146/annurev.phyto.43.040204.135923View ArticleGoogle Scholar
- Halitschke R, Baldwin IT: Antisense LOX expression increases herbivore performance by decreasing defense responses and inhibiting growth-related transcriptional reorganization in Nicotiana attenuata . Plant J 2003, 36: 794–807. 10.1046/j.1365-313X.2003.01921.xView ArticleGoogle Scholar
- Thomma BPHJ, Penninckx IAMA, Cammue B, Broekaert WF: The complexity of disease signaling in Arabidopsis. Curr Opin Immunol 2001, 13: 63–68. 10.1016/S0952-7915(00)00183-7View ArticleGoogle Scholar
- Howe GA: Jasmonates as signals in the wound response. Plant Growth Regulation 2004, 23: 223–237.View ArticleGoogle Scholar
- Zavala JA, Patankar AG, Gase K, Hui D, Baldwin IT: Manipulation of endogenous trypsin proteinase inhibitor production in Nicotiana attenuata demonstrates their function as antiherbivore defenses. Plant Physiol 2004, 134: 1181–1190. 10.1104/pp.103.035634View ArticleGoogle Scholar
- Dicke M, Agrawal AA, Bruin J: Plants talk, but are they deaf? Trend Plant Sci 2003, 8: 403–405. 10.1016/S1360-1385(03)00183-3View ArticleGoogle Scholar
- Heil M, Silva Bueno JC: Within-plant signaling by volatiles leads to induction and priming of an indirect plant defense in nature. Proc Natl Acad Sci 2007, 104: 5467–5472. 10.1073/pnas.0610266104View ArticleGoogle Scholar
- Lee S, Lee EJ, Yang EJ, Lee JE, Park AR, Song WH, Park OK: Proteomic identification of annexins, calcium-dependent membrane binding proteins that mediate osmotic stress and abscisic acid signal transduction in Arabidopsis. Plant Cell 2004, 16: 1378–1391. 10.1105/tpc.021683View ArticleGoogle Scholar
- 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: 199–219. 10.1016/S0378-4290(02)00040-0View ArticleGoogle Scholar
- Yao WH: Biology characteristics of Prodenia litura. Entomol J East China 2005, 14: 122–127.Google Scholar
- Ruohom ki K, Hanhim ki S, Haukioja E, Iso-livari L, Neuvonen S, Niemel P, Suomela J: Variability in the efficacy of delayed inducible resistance in mountain birch. Entomol Exp Appl 1992, 62: 107–115. 10.1111/j.1570-7458.1992.tb00649.xView ArticleGoogle Scholar
- Roland J, Myers JH: Improved insect performance from host-plant defoliation: winter moth on oak and apple. Ecol Entomol 1987, 12: 409–414. 10.1111/j.1365-2311.1987.tb01022.xView ArticleGoogle Scholar
- Gibberd R, Edwards PJ, Wratten SD: Wound-induced changes in the acceptability of tree-foliage to Lepidoptera: within-leaf effects. Oikos 1988, 51: 43–47. 10.2307/3565805View ArticleGoogle Scholar
- Green TR, Ryan CA: Wound-induced proteinase inhibitor in plant leaves: a possible defense mechanism against insects. Science 1972, 175: 776–777. 10.1126/science.175.4023.776View ArticleGoogle Scholar
- Karban R, Carey JR: Induced resistance of cotton seedlings to mites. Science 1984, 225: 53–54. 10.1126/science.225.4657.53View ArticleGoogle Scholar
- Underwood NC: The timing of induced resistance and induced susceptibility in the soybean-Mexican bean beetle system. Oecologia 1998, 114: 376–381. 10.1007/s004420050460View ArticleGoogle Scholar
- Krah A, Wessel R, Plei ner KP: Assessment of protein spot components applying correspondence analysis for peptide mass fingerprint data. Proteomics 2004, 4: 2982–2986. 10.1002/pmic.200400926View ArticleGoogle Scholar
- Lin YZ, Chen HY, Kao R, Chang SP, Chang SJ, Lai EM: Proteomic analysis of rice defense response induced by probenazole. Phytochemistry 2008, 69: 715–728. 10.1016/j.phytochem.2007.09.005View ArticleGoogle Scholar
- Gygi SP, Rochon Y, Franza BR, Aebersold R: Correlation between protein and mRNA abundance in yeast. Mol Cell Biol 1999, 19: 1720–1730.Google Scholar
- Ideker T, Thorsson V, Ranish JA, Christmas R, Buhler J, Eng JK, Bumgarner R, Goodlett DR, Aebersold R, Hood L: Integrated genomic and proteomic analyses of a systematically perturbed metabolic network. Science 2001, 292: 929–934. 10.1126/science.292.5518.929View ArticleGoogle Scholar
- Beyer A, Hollunder J, Nasheuer HP, Wilhelm T: Post-transcriptional expression regulation in the yeast Saccharomyces cerevisiae on a genomic scale. Mol Cell Proteomics 2004, 3: 1083–1092. 10.1074/mcp.M400099-MCP200View ArticleGoogle Scholar
- Greenbaum D, Colangelo C, Williams K, Gerstein M: Comparing protein abundance and mRNA expression levels on a genomic scale. Genome Biol 2003, 4: 117–124. 10.1186/gb-2003-4-9-117View ArticleGoogle Scholar
- Nie L, Wu G, Zhang W: Correlation of mRNA expression and protein abundance affected by multiple sequence features related to translational efficiency in Desulfovibrio vulgaris : a quantitative analysis. Genetics 2006, 174: 2229–2243. 10.1534/genetics.106.065862View ArticleGoogle Scholar
- Canova MJ, Kremer L, Molle V: pETPhos: a customized expression vector designed for further characterization of Ser/Thr/Tyr protein kinases and their substrates. Plasmid 2008, 60: 149–153. 10.1016/j.plasmid.2008.05.002View ArticleGoogle Scholar
- Wang XQ, Yang PF, Liu Z, Liu WZ, Hu Y, Chen H, Kuang TY, Pei ZM, Shen SH, He YK: Exploring the mechanism of Physcomitrella patens desiccation tolerance through a proteomic strategy. Plant Physiol 2009, 149: 1739–1750. 10.1104/pp.108.131714View ArticleGoogle Scholar
- Chen LR, Markhart AH, Shanmugasundaram S, Lin TY: Early developmental and stress responsive ESTs from mungbean, Vigna radiata (L.) Wilczek, seedlings. Plant Cell Reports 2008, 27: 535–552. 10.1007/s00299-007-0488-3View ArticleGoogle Scholar
- Jeong RD, Lim WS, Kwon SW, Kim KH: Identification of Glycine max genes expressed in response to Soybean mosaic virus infection. Plant Pathol 2005, 21: 47–54.View ArticleGoogle Scholar
- Thompson GA, Goggin FL: Transcriptomics and functional genomics of plant defence induction by phloem-feeding insects. Exp Bot 2006, 57: 755–766. 10.1093/jxb/erj135View ArticleGoogle Scholar
- Sengupta S, Majumder AL: Insight into the salt tolerance factors of a wild halophytic rice, Porteresia coarctata : a physiological and proteomic approach. Planta 2009, 229: 911–929. 10.1007/s00425-008-0878-yView ArticleGoogle Scholar
- Wittenbach VA: Purification and characterization of a soybean leaf storage glycoprotein. Plant Physiol 1983, 73: 125–129. 10.1104/pp.73.1.125View ArticleGoogle Scholar
- Staswick PE, Zhang Z, Clemente TE, Specht JE: Efficient down-regulation of the major vegetative storage protein genes in transgenic soybean does not compromise plant productivity. Plant Physiol 2001, 127: 1819–1826. 10.1104/pp.010638View ArticleGoogle Scholar
- Berger S, Mitchell-Olds T, Stotz HU: Local and differential control of vegetative storage protein expression in response to herbivore damage in Arabidopsis thaliana . Physiol Plant 2002, 114: 85–91. 10.1046/j.0031-9317.2001.1140112.xView ArticleGoogle Scholar
- Mason HS, Mullet JE: Expression of two soybean vegetative storage protein genes during development and in response to water deficit, wounding, and jasmonic acid. Plant Cell 1990, 2: 569–579.View ArticleGoogle Scholar
- Xie DX, Feys BF, James S, Nieto-Rostro M, Turner JG: COI1: an Arabidopsis gene required for jasmonate-regulated defense and fertility. Science 1998, 280: 1091–1094. 10.1126/science.280.5366.1091View ArticleGoogle Scholar
- Liu Y, Ahn JE, Datta S, Salzman RA, Moon J, Huyghues-Despointes B, Pittendrigh B, Murdock LL, Koiwa H, Zhu-Salzman K: Arabidopsis vegetative storage protein is an anti-insect acid phosphatase. Plant Physiol 2005, 139: 1545–1556. 10.1104/pp.105.066837View ArticleGoogle Scholar
- Howles PA, Sewalt VJH, Paiva NL, Elkind Y, Bate NJ, Lamb C, Dixon RA: Overexpression of L-phenylalanine ammonia-lyase in transgenic tobacco plants reveals control points for flux into phenylpropanoid biosynthesis. Plant Physiol 1996, 112: 1617–1624.Google Scholar
- Shadle GL, Wesley SV, Korth KL, Chen F, Lamb C, Dixon RA: Phenylpropanoid compounds and disease resistance in transgenic tobacco with altered expression of-phenylalanine ammonia-lyase. Phytochemistry 2003, 64: 153–161. 10.1016/S0031-9422(03)00151-1View ArticleGoogle Scholar
- Hahlbrock K, Scheel D: Physiology and molecular biology of phenylpropanoid metabolism. Ann Rev Plant Biol 1989, 40: 347–369. 10.1146/annurev.pp.40.060189.002023View ArticleGoogle Scholar
- Arimura G, Ozawa R, Nishioka T, Boland W, Koch T, Kuhnemann F, Takabayashi J: Herbivore induced volatiles induce the emission of ethylene in neighboring lima bean plants. Plant J 2002, 29: 87–98. 10.1046/j.1365-313x.2002.01198.xView ArticleGoogle Scholar
- Cui S, Huang F, Wang J, Ma X, Cheng Y, Liu J: A proteomic analysis of cold stress responses in rice seedlings. Proteomics 2005, 5: 3162–3172. 10.1002/pmic.200401148View ArticleGoogle Scholar
- Espartero J, Pintor-Toro JA, Pardo JM: Differential accumulation of S-adenosylmethionine synthetase transcripts in response to salt stress. Plant Mol Biol 1994, 25: 217–227. 10.1007/BF00023239View ArticleGoogle Scholar
- Ji W, Li Y, Li J, Dai C, Wang X, Bai X, Cai H, Yang L, Zhu Y: Generation and analysis of expressed sequence tags from NaCl-treated Glycine soja. BMC Plant Biol 2006, 6: 4–10. 10.1186/1471-2229-6-4View ArticleGoogle Scholar
- Tassoni A, Franceschetti M, Bagni N: Polyamines and salt stress response and tolerance in Arabidopsis thaliana flowers. Plant Physiol Biochem 2008, 46: 607–613. 10.1016/j.plaphy.2008.02.005View ArticleGoogle Scholar
- Tiburcio AF, Besford RT, Capell T, Borrell A, Testillano PS, Risueno MC: Mechanisms of polyamine action during senescence responses induced by osmotic stress. Exp Bot 1994, 45: 1789–1800. 10.1093/jxb/45.12.1789View ArticleGoogle Scholar
- Sarowar S, Kim EN, Kim EN, Kim YJ, Ok SH, Kim KD, Hwang BK, Shin JS: Overexpression of a pepper ascorbate peroxidase-like 1 gene in tobacco plants enhances tolerance to oxidative stress and pathogens. Plant Sci 2005, 169: 55–63. 10.1016/j.plantsci.2005.02.025View ArticleGoogle Scholar
- Shi WM, Muramoto Y, Ueda A, Takabe T: Cloning of peroxisomal ascorbate peroxidase gene from barley and enhanced thermotolerance by overexpressing in Arabidopsis thaliana . Gene 2001, 273: 23–27. 10.1016/S0378-1119(01)00566-2View ArticleGoogle Scholar
- Suty L, Lequeu J, Lan on A, Etienne P, Petitot AS, Blein JP: Preferential induction of 20S proteasome subunits during elicitation of plant defense reactions: towards the characterization of "plant defense proteasomes". Biochem Cell Biol 2003, 35: 637–650. 10.1016/S1357-2725(02)00386-2View ArticleGoogle Scholar
- Fehr WR, Burmood CE, Pennington DT: Stage of Development Descriptions for Soybeans, Glycine Max (L.) Merrill1. Crop Sci 1971, 11: 929–931. 10.2135/cropsci1971.0011183X001100060051xView ArticleGoogle Scholar
- Kogan M: Feeding and nutrition of insects associated with soybeans. 2. Soybean resistance and host preferences of the Mexican bean beetle, Epilachnavarivest . Ann Entomol Soc Am 1972, 65: 675–683.View ArticleGoogle Scholar
- Bradford MM: A rapid and sensitive method for the quantitation of microgram quantities of protein utilizing the principle of protein-dye binding. Anal Biochem 1976, 72: 248–254. 10.1016/0003-2697(76)90527-3View ArticleGoogle Scholar
- Blum H, Beier H, Gross HJ: Improved silver staining of plant proteins, RNA and DNA in polyacrylamide gels. Electrophoresis 1987, 8: 93–99. 10.1002/elps.1150080203View ArticleGoogle Scholar
- Hellman U, Wernstedt C, Gonez J, Heldin CH: Improvement of an "In-Gel" digestion procedure for the micropreparation of internal protein fragments for amino acid sequencing. Anal Biochem 1995, 224: 451–455. 10.1006/abio.1995.1070View 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.