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First published online May 27, 2005; 10.1104/pp.104.053389 Plant Physiology 138:1149-1162 (2005) © 2005 American Society of Plant Biologists Major Signaling Pathways Modulate Arabidopsis Glucosinolate Accumulation and Response to Both Phloem-Feeding and Chewing Insects1Department of Entomology, Chemical Ecology Laboratory, Pennsylvania State University, State College, Pennsylvania 16802 (H.M.A., I.M., A.H., J.C.S.); and Department of Biology, Syracuse University, Syracuse, New York 13244 (R.R.)
Plant responses to enemies are coordinated by several interacting signaling systems. Molecular and genetic studies with mutants and exogenous signal application suggest that jasmonate (JA)-, salicylate (SA)-, and ethylene (ET)-mediated pathways modulate expression of portions of the defense phenotype in Arabidopsis (Arabidopsis thaliana), but have not yet linked these observations directly with plant responses to insect attack. We compared the glucosinolate (GS) profiles of rosette leaves of 4-week-old mutant and transgenic Arabidopsis (Columbia) plants compromised in these three major signaling pathways, and characterized responses by those plants to feeding by two phloem-feeding aphids (generalist Myzus persicae and specialist Brevicoryne brassicae) and one generalist caterpillar species (Spodoptera exigua Hubner). Blocked JA signaling in coronatine-insensitive (coi1) and enhanced expression of SA-signaled disease resistance in hypersensitive response-like (hrl1) mutants reduced constitutive GS concentrations, while blocking SA signaling at the mediator protein npr1 mutant (NPR) increased them. There was no significant impact on constitutive GS contents of blocking ET signaling (at ET resistant [etr1]) or reducing SA concentrations (nahG transgene). We found increased GS accumulation in response to insect feeding, which required functional NPR1 and ETR1 but not COI1 or SA. Insect feeding caused increases primarily in short-chain aliphatic methylsulfinyl GS. By contrast, responses to exogenous JA, a frequent experimental surrogate for insect attack, were characterized by an increase in indolyl GS. Insect performance, measured as population increase or weight increase, was negatively related to GS levels, but we found evidence that other, ET-regulated factors may also be influential. Plant resistance to (consumption by) S. exigua was not related to insect growth because some plant chemistries inhibited growth while others inhibited feeding. These major signaling pathways modulate Arabidopsis GS accumulation and response to both phloem-feeding and chewing insects, often antagonistically; NPR appears to be central to these interactions. Our results indicate that exogenous signal application and plant consumption measures may not provide useful measures of plant responses to actual insect feeding.
Plants have developed diverse defense mechanisms for dealing with enemies. Like all plants in the Brassicaceae, Arabidopsis (Arabidopsis thaliana) produces secondary metabolites, including glucosinolates (GS), phenolics, and terpenoids (Halkier, 1999 -thioglucoside glucohydrolase) are compartmentalized and come in contact only upon tissue damage (Koroleva et al., 2000
There is ample evidence that GS structures and levels influence host plant suitability for generalist and specialist herbivores (Agrawal and Kurashige, 2003
While the composition, biosynthesis, and genetics of GS have received intense scrutiny in Arabidopsis, there have been few direct studies of their function against insects. Lambrix et al. (2001)
Plant responses to pests are coordinated by several signaling systems, of which three have received the most attention. One of these, the oxylipin-signaling pathway, includes the hormone jasmonic acid (JA) and related compounds, and has been shown to influence the production of various metabolic defenses, including GS (Titarenko et al., 1997
GS accumulation is responsive to exogenous JA and SA (Kiddle et al., 1994
Studies of Arabidopsis responses to insects have so far focused on differential gene expression and signaling pathways, usually via use of signaling mutants and application of signaling molecules (e.g. Stotz et al., 2000
Constitutive GS Levels and Changes in Response to Insects Quantitative GS profiling indicates that 10 major GS types were present in all plant genotypes. The dominant class of GS in Columbia (Col)-0 leaves was aliphatic methylsulfinyl GS (Fig. 1), of which the most abundant compound was 4-methylsulfinylbutyl GS (4MSOB; Fig. 2). We detected only one GS with a methylthio side chain, 4-methylthiobutyl. Glucobrassicin (3-indolylmethyl [3IM]) was the most abundant indolyl GS, followed by 1-methoxy-3-indolylmethyl (1MO3IM) and 4-methoxy-3-indolylmethyl (4MO3IM; Fig. 2).
The chemistry of the undamaged plants was quite similar in all experiments. The constitutive total GS contents differed among genotypes in experiments with both M. persicae and B. brassicae and in the experiments with S. exigua (two-way ANOVAs P 0.0001). Total constitutive GS levels were significantly lower in hypersensitive response-like (hrl1) and in coronatine-insensitive (coi1) than in the Col-0 controls in both sets of experiments (Fig. 1), while the SA-signaling pathway mutant npr1 had 40% to 80% greater total constitutive GS levels than found in Col-0 (Fig. 1). In contrast, the constitutive total GS content in the other plant with compromised SA signaling, the transgenic nahG, did not differ from Col-0 plants (Fig. 1). The constitutive total GS contents of the ET-insensitive mutant etr1 were identical to Col-0 in the aphid experiments (Fig. 1) but were 25% higher in the caterpillar experiments (data not shown), evidently due to slight differences in plant age and growth conditions. Differences among the genotypes in total constitutive GS contents were due mainly to differences in aliphatic GS. All of the mutants generally had either the same or slightly but significantly lower indolyl GS levels than did Col-0 (Fig. 1). Total Col-0 GS levels increased significantly in response to feeding by M. persicae, B. brassicae, and S. exigua (Figs. 3 and 4). One week of feeding by either aphid species produced increases of 16% to 18% in total GS content compared to controls, whereas the caterpillar elicited a 2-fold increase within 1 d. Increases in total GS levels elicited by aphid feeding were due almost entirely to increases in the amount of short-chain aliphatic methylsulfinyl GS such as 3-methylsulfinylpropyl and 4MSOB (Fig. 2). S. exigua elicited significant increases in short-chain aliphatic GS and 8-methylsulfinyloctyl (8MSOO).
Feeding by the specialist aphid B. brassicae often elicited stronger responses than did the generalist M. persicae. Slight but significant increases in indolyl GS fractions were seen only in npr1 (in response to B. brassicae) and etr1 (in response to both aphids, Fig. 3); S. exigua never elicited indolyl GS responses (Fig. 4). The ability to respond to insect feeding with increases in total GS content required a functional NPR1 and ETR1; responsiveness to all three insect species was abolished in npr1 and etr1 (Figs. 3 and 4). nahG plants were very responsive to insect feeding, as was coi1, despite having reduced constitutive total GS levels (Figs. 3 and 4).
Because published studies have found other Brassicaceae to respond to insect feeding primarily with increases in indolyl GS (Bodnaryk, 1992
Plant Resistance and Insect Performance We assessed plant resistance to S. exigua as leaf area removed over a 24-h period and S. exigua performance as mass accumulated during the same interval (by the same insects). Resistance and impact on aphids together were assessed as aphid population growth on the various genotypes. We then examined relationships between insect performance and constitutive and elicited GS levels. B. brassicae and M. persicae populations increased about 4-fold in 1 week on Col-0 (Fig. 6). Reproduction of both aphid species differed significantly among the different Col genotypes, and the genotypes influenced performance of the two species differentially. Populations of B. brassicae (the specialist) increased significantly more rapidly on coi1 but significantly more slowly on npr1 and nahG (Fig. 6). B. brassicae performance on hrl1 and etr1 did not differ from that on Col-0.
Populations of M. persicae (the generalist) grew significantly more rapidly on hrl1 and growth was marginally (ANOVA 0.1 > P > 0.05) greater on coi1. M. persicae populations grew significantly more slowly on npr1 and nahG. Growth on etr1 did not differ from that on Col-0 (Fig. 6). There also was significant variation among plant genotypes in their impact on S. exigua weight gain (Fig. 7). S. exigua larvae gained significantly more weight on coi1 and hrl1 than on Col-0 plants. Larvae on hrl1 and coi1 had 50% to 100% greater weight gain than larvae on Col-0, despite consuming less than half as much leaf material. Larval growth was worst on the two genotypes with blocked SA signaling, npr1 and nahG, followed closely by growth on etr1, in which ET signaling is blocked (Fig. 7). Weight gain on nahG plants was only 20% of that on Col-0 and only 11% of that on coi1. Weight increase on etr1 was about 60% of that on Col-0.
Plant resistance to S. exigua, evaluated as fraction of leaf area consumed, also differed significantly among the genotypes (Fig. 7). hrl1, coi1, and etr1 were significantly more resistant (less was consumed) than Col-0. Consumption of npr1 and nahG could not be distinguished statistically from consumption of Col-0. Consumption of individual genotypes and larval weight increase on those genotypes were often inversely related (Fig. 7). For example, the best insect growth was achieved on coi1, which was one of the least-consumed plants, while the reverse was true for nahG (Fig. 7).
We used simple correlation to explore the likelihood that constitutive or induced GS levels we observed in experimental plants might be a basis of resistance and insect performance (Fig. 8). The final number of aphids and the plants' constitutive GS content were negatively related (Rconstitutive = 0.733 for B. brassicae and Rconstitutive = 0.711 for M. persicae; this relationship was stronger than that with induced GS levels, especially for B. brassicae (Rinduced = 0.316 for B. brassicae and Rinduced = 0.625 for M. persicae). Aphid performance was somewhat more strongly correlated with aliphatic GS than with indolyl GS (Raliphatic = 0.571 versus Rindolyl = 0.486 for B. brassicae and Raliphatic = 0.514 versus Rindolyl = 0.359 for M. persicae).
Weight gain by S. exigua was negatively related to both constitutive and induced total GS levels (Rconstitutive = 0.559 and Rinduced = 0.748). Consumption was not related to constitutive GS levels but was positively related to total induced aliphatic GS concentrations (R = 0.690) due to the induction caused by feeding. The performance of S. exigua was related about equally to aliphatic and indolyl GS concentrations (Rinduced = 0.691 for aliphatic GS and Rinduced = 0.614 for indolyl GS).
In Arabidopsis, the signaling molecules SA, JA, and ET interact in complex ways to influence plant resistance to herbivores and pathogens (Pieterse et al., 2001
The coi1 mutant, which has impaired oxylipin signaling, had a lower total GS content than did Col-0, due to reductions in both aliphatic and indolyl GS. This is consistent with a dependence on JA signaling for indolyl and aliphatic GS accumulation as suggested by responses to JA application in this study and in others (Bartlet et al., 1999
According to this antagonistic cross talk model, blocking SA signaling should increase total GS levels (Mikkelsen et al., 2003
The Arabidopsis hrl1 mutant is characterized by constitutively expressed SA-regulated (e.g. PR-1) and JA-regulated (e.g. PDF.1.2) genes, elevated levels of SA and ET, and enhanced resistance to virulent bacterial and oomycete pathogens (Devadas et al., 2002
However, blocking accumulation of SA itself while NPR1 is intact had no impact on total GS accumulation. Total, aliphatic, and indolyl GS levels in transgenic nahG plants, which have low SA levels, were not statistically distinguishable from those in Col-0. This suggests that antagonism of at least some JA-mediated defense events by the SA pathway does not actually involve SA, despite the fact that some JA-mediated traits can be suppressed with exogenous SA (e.g. Cipollini et al., 2003
We found that 24 h of feeding by the chewing insect S. exigua and 1 week of feeding by the phloem-feeding insects M. persicae and B. brassicae alters GS levels in Col-0, although to different extents. Col-0 responded to feeding by all three insect species with increases in short-chain aliphatic methylsulfinyl GS, and the longer chain 8MSOO increased in response to S. exigua; indolyl GS were not affected significantly. These results demonstrate biochemical defense responses to insects in Arabidopsis. This finding is unlike several studies of responses to insects in other members of the Brassicaceae, which have focused on changes in indolyl GS (Bodnaryk, 1992
Our results also contrast markedly with the induction of indolyl GS in response to exogenous JA found in some studies (e.g. Stotz et al., 2000
There may be several reasons why responses to insects differ from responses to exogenous hormone treatments. First, the literature does not present a uniform picture of GS elicitation by exogenous JAs. For example, Mikkelsen et al. (2003)
Arabidopsis responses to the aphids were significant but quantitatively less intense than to S. exigua caterpillars. Aphids do relatively little wounding and have been shown to induce expression of several SA pathway-regulated genes such as PR-1 and BGL2, an effect that could suppress activity in the JA pathway (Moran and Thompson, 2001
We found that GS responses to all three insects required a functional NPR1 and ETR1 but not SA or COI1. These results support the view that NPR1 is a point of intersection of multiple signaling pathways, especially JA- and SA-mediated antagonism (Pieterse et al., 2001
Aphid performance was influenced significantly by plant genotype and insect species. Populations of both aphid species grew relatively poorly on the genotypes with impaired SA signaling (npr1 and nahG), suggesting that SA signaling normally suppresses plant resistance to these aphids, possibly by inhibiting JA-signaled events. Moran and Thompson (2001) Aphid performance in our studies was negatively related to both constitutive and insect-induced GS levels, but constitutive chemistry had the stronger impact on population growth by both aphid species. npr1 had the highest constitutive GS contents and responded to B. brassicae feeding with elevated indolyl GS levels but not aliphatic GS, while nahG had constitutive wild-type total GS levels but produced the highest total GS levels after aphid feeding. Both aphid species performed comparatively better on coi1, in which JA signaling is blocked and constitutive GS levels are low. Correlations confirmed this picture: Aphid population increase was negatively related to total constitutive and induced GS levels across all plant genotypes. The pattern of aphid performance across genotypes is consistent with a model in which their success depends to some extent on SA pathway suppression of JA-signaled events, which include GS production. However, our results indicate that these interactions are not reproduced correctly by exogenous JA or SA, since these treatments do not produce either the patterns in constitutive GS composition seen in the mutants or the changes in aliphatic (and not indolyl) GS elicited by actual insect feeding. Some responses and impacts were aphid species specific. For example, hrl1 plants responded strongly to B. brassicae with increased total and aliphatic GS production, much as did Col-0, and B. brassicae performance was the same on the two. But hrl1 responses to M. persicae were weaker, and M. persicae performed better on those plants than they did on Col-0. B. brassicae benefited more than did M. persicae from blocked JA signaling and reduced GS levels in coi1, even though B. brassicae elicited a stronger response. These detailed differences among plant genotypes in response to the two aphid species produced a statistically significant overall difference in the pattern of response to the two insect species. Different responses by the signaling mutants suggest that the similar GS chemistry responses to the two aphid species by Col-0 may have arisen via different signaling networks. Differential performance by the two aphid species also may reflect differing tolerance of plant defenses.
As was true for the aphids, S. exigua results were consistent with a model in which insect success depends to some extent on SA pathway suppression of JA-signaled events, including GS production. For example, while coi1 plants were responsive to S. exigua feeding, their leaves began with significantly suppressed GS concentrations, so insect-elicited increases never even reached unwounded Col-0 levels, and S. exigua performed significantly better on them than on Col-0 despite consuming significantly less. However, while plant resistance and aphid performance are functionally linked (greater aphid population increase reflects low plant resistance), resistance can be uncoupled from chewing insect performance because insect growth is influenced by consumption, food suitability, or both. The coi1, hrl1, and etr1 mutants were most resistant (consumed least), but the best S. exigua weight gain occurred on coi1 and hrl1, while S. exigua grew little on etr1 because they refused to eat it. By contrast, S. exigua gained very little weight on npr1 and nahG despite consuming substantial amounts. Poor S. exigua performance on npr1 may be explained by very high constitutive GS levels, while performance on nahG may be related to the strong increase in GS levels in response to insect attack. Alternatively, insect performance on nahG plants could have been reduced by high levels of catechol produced by the bacterial SA hydroxylase; GS extracts of nahG were very pink, indicating a high flavonoid content. Catechol and other phenolics are often insecticidal (Felton et al., 1992
Plant impacts on S. exigua performance may also reflect an impact of signal cross talk. We found the greatest insect weight increase on plants with impaired JA signaling and the worst on plants with impaired SA signaling. Cui et al. (2002)
Differences among published studies of insects feeding on Arabidopsis and related species call attention to the need for comprehensive studies linking signaling, plant defense phenotype, and ecological outcomes, particularly similar measures of resistance. Compensatory feeding is well established (Price et al., 1980 Since we measured consumption as leaf area removed (as have all previous studies), it is possible that differences in specific leaf mass could produce differences in total amount (as mass) of plant consumed. We measured specific leaf mass of two plant genotypes differing dramatically in consumption and caterpillar growth and the only two seeming to differ in leaf thickness, hrl1 and Col-0. hrl1 leaves had lower specific mass (mean of 3.7 mg cm2, n = 9) than did Col-0 (4.24 mg cm2, n = 9). However, hrl1 was least consumed and yet supported best insect growth, the opposite of expectations if more leaf area was consumed to compensate for low mass. We are satisfied that leaf area removed is a valuable measure of plant loss or resistance in this study. The need to consume more leaf area to acquire sufficient mass is just another reason why insect growth and plant consumption (resistance) are frequently uncoupled, as we observed in this study.
Many factors influence insect feeding behavior and physiology. Feeding preferences are frequently conditioned by diet immediately prior to feeding on a particular plant, so switching insects from artificial diet to Arabidopsis for experiments without a period of acclimation to the new diet may not produce realistic results (Renwick, 2001 Plant responses to insects together with insect behavior comprise a complex system. To understand plant-insect interactions, we must characterize the relationships among the defense phenotype, signaling pathways, gene expression, and differential feeding and growth (phenotype) using insects actually feeding on the same plants under identical conditions, with statistical support. Attempts to accomplish this have so far been piecemeal and may provide misleading results. We suggest that studies that focus simultaneously on several layers in the complex interaction between insects and plants are needed to avoid unwarranted generalizations.
The impact of ET signaling on caterpillars may involve mechanisms other than GS production. Our results are in agreement with several studies in which intact ET signaling appeared to enhance food quality or susceptibility of plants for chewing insects. Stotz et al. (2000)
While many plant traits, both constitutive and induced, may influence resistance to enemies and enemy performance, our results strongly suggest that both constitutive and inducible variation in GS contents and composition mediated by SA, JA, and ET signaling contributed significantly to differences in insect performance across plant genotypes. While we focused on GS substrates, the biological activity we observed probably also reflects the ratio of GS hydrolysis products the insects experienced. Two myrosinase isoenzymes from B. napus were shown to degrade aliphatic GS at higher rates than indolyl GS (James and Rossiter, 1991 We have linked genotypic, signaling, and phenotypic (chemical defense) variation with resistance and insect performance in Arabidopsis. This kind of variation is the basis of ecological and evolutionary interactions between plants and insect herbivores. Most variation among genotypes and in responses to insects occurred among the aliphatic GS, suggesting that this GS class warrants increased attention in the context of resistance to insects. While some of our results are consistent with previous work in the Brassicaceae, others suggest that not all generalizations can be extended to Arabidopsis. While study at each level of plant response to insects is important and useful, formulating strong generalizations will require comparative, coordinated, simultaneous study at multiple levels using carefully characterized plants and insects.
Plant Material and Cultivation
Four Arabidopsis (Arabidopsis thaliana ecotype Col) signaling pathway mutants (hrl1, coi1, npr1, and etr1), the transgenic nahG, and the corresponding Col wild type (Col-0) were used. Seeds of coi1-1 (glabrous) were obtained from Dr. John Turner (University of East Anglia, Norwich, UK), etr1 from the Arabidopsis Biological Resource Center, Columbus, Ohio, npr1 from Dr. Xinnian Dong (Duke University, Durham, NC), and nahG from Paradigm Genetics, Research Triangle, North Carolina. These plants had the following modifications of their signaling pathways: hrl1, constitutive SA- and JA-mediated responses, elevated SA concentrations, constitutive resistance to virulent Pseudomonas syringae and Peronospora parasitica (Devadas et al., 2002 We confirmed that the plant genotypes differed in signal pathway activity by assessing expression levels of marker genes in uninfested control plants of each genotype, compared with the housekeeping gene AC8 (data not shown). No reverse transcription (RT)-PCR product for PR1 was observed in the genotypes with disrupted SA signaling (npr1 and nahG) as expected. There was little expression of PR1 in Col-0, but PR1 was expressed in hrl1, coi1, and etr1, as expected. The RT-PCR product for BGL1, a marker for JA pathway activity, was found in all mutants, but the expression level was lower as expected in the JA-insensitive mutant coi1. The RT-PCR product for the ET marker CaEF was nearly below the detection limit in the ET-insensitive mutant etr1, as expected, and in hrl1. Arabidopsis seeds were vernalized and sown into 6- x 5-cm pots filled with sterile Metromix 200 (Scotts, Marysville, OH; contains sphagnum, peat moss, and horticultural perlite). Plants were kept in growth chambers at 22°C ± 1°C, 65% ± 5% relative humidity, at 250 µmol m2 s1 light intensity, and on a 10:14 (light:dark) photoperiod. The photoperiod was changed after 2 weeks for the second experiment with aphids and caterpillars to 8:16 (light:dark) photoperiod, preventing bolting of the hrl1 mutants. Plants were watered as needed (approximately twice a week) and fertilized every 2 weeks (21-7-7; Miracle Gro, Scotts, Marysville, OH).
For bioassays with phloem-feeding insects, we used the specialist aphid Brevicoryne brassicae and the generalist Myzus persicae Sulzer. As a chewing insect, we used the generalist caterpillar Spodoptera exigua (Hübner). Aphid clones were maintained on pak-choi plants (Brassica campestris L. subsp. chinensis var Black Behi) at 22°C to 26°C and 12-h photoperiod (50 µmol m2 s1). New plants were added biweekly, and old plants were removed after aphids settled on the new plants. Electron microscopy was used to determine that aphids were free of insect and plant viruses, which can affect aphid reproduction or may induce plant defenses. Eggs of S. exigua (Hübner) were obtained from Benzon Research (Carlisle, PA). The larvae were grown on commercially available artificial Spodoptera diet from Bioserv (Frenchtown, NJ) until the fourth instar at temperature of 22°C to 26°C. The artificial diet was replaced about every 3 d. One day before the experiment, S. exigua were transferred to Col wild-type plants.
We conducted two experiments with two classes of feeding herbivores to study plant responses to insect feeding and insect performance on Arabidopsis with disrupted signaling pathways. Plants were 32 d old for the experiments with M. persicae and B. brassicae and 36 d old in the experiments with S. exigua. There were 10 replicates per genotype in the experiment with aphids and eight replicates in the experiment with S. exigua. Insect bioassays were conducted in cages of transparent mylar cylinders (5 cm diameter, 9 cm high) with a top of fine mesh gauze (mesh width: <0.1 mm) and the lower cage edge in the soil. These cages contained the insect but maintained air exchange and allowed the insects to choose their feeding sites. In the aphid experiments, 10 apterous aphids (adults and fourth nymph stage) were transferred to each of 10 plants of each genotype. Plants with aphids and aphid-free control plants (also caged) were kept in a growth chamber at 22°C ± 1°C, at 200 µmol m2 s1 light intensity, and a 12:12-h photoperiod. After 7 d, the control plants were cut directly above the root and immediately flash frozen in liquid nitrogen. In aphid treatments, the aphids were removed with a brush and counted before the plants were frozen in liquid nitrogen. All material was stored at 80°C. Plants for GS analysis were harvested in pairs (four replicate pairs), and two plants per treatment were harvested separately for molecular biological studies.
In the experiments with S. exigua, single fourth-instar larvae were weighed and transferred to each of the eight plants of each genotype. Plants with S. exigua and control plants (also caged) were kept in a growth chamber at 22°C ± 1°C, at 250 µmol m2 s1 light intensity, and a 10:14-h photoperiod. Larvae were allowed to feed for 24 h and then removed and reweighed. The leaf area damage was estimated using the categories described by Stotz et al. (2000) The statistical significance of variation in insect performance among different mutants in each experiment was determined using ANOVA, followed by the posthoc test Tukey's honestly significant difference (HSD) mean-separation test in SAS 8.0 (SAS Institute, Cary, NC) and SYSTAT 10.0 (SPSS, Chicago).
A separate experiment was conducted to compare the elicitation of GS production by insect feeding with direct application of JA. This experiment was done with Col-0 plants cultivated under a 12-h photoperiod, at 150 µmol m2 s1, and at 23°C ± 1°C day and 21°C ± 1°C night temperature, respectively. Five-week-old plants were treated with (±)-1a,2b-3-Oxo-2-(cis-2-pentenyl)cyclopentaneacetic acid (JA; Sigma-Aldrich, St. Louis; 2.5 mM in 1.5% [v/v] ethanol and 0.125% [v/v] Triton in water) or solvent control lacking JA. Treatments were applied as a fine mist to completely wet the adaxial side of rosette leaves on days 1, 2, and 5. After 1 week, plant rosettes were harvested, flash frozen in liquid nitrogen, and stored at 80°C.
GS were extracted three times from lyophilized tissue (20100 mg) for 5 min with 1 or 5 mL of 70% (v/v) boiling methanol. Extracts were centrifuged at 1,200g and supernatants were combined. 4-Hydroxybenzyl-GS, sinalbin (40 or 200 µL of 3 µmol mL1 solution; The Royal Veterinary and Agricultural University, Copenhagen), was added to the extract as the internal standard. Combined supernatants were evaporated almost to dryness at 45°C and were redissolved up to a volume of 2 or 10 mL double-distilled water containing 0.4 M barium acetate to precipitate proteins. After 1 h at room temperature, extracts were centrifuged at 2,600g for 20 min. One-half of each supernatant was hydrolyzed overnight with 0.1 unit of myrosinase (Sigma-Aldrich) at room temperature. Hydrolyzed and unhydrolyzed (containing GS) extracts were desulfated on DEAE Sephadex A-25 mini columns in 2 M acetic acid. Before loading GS extracts, columns were rinsed with 2 mL of 6 M imidazole-formate solution in 30% formic acid followed by two washes with 1 mL of dd water. Then columns were washed twice with 1 mL of 0.02 M sodium acetate buffer, pH 4.0. A total of 150 µL of aryl sulfatase solution (Sigma-Aldrich; H-1 from Helix pomatia, prepared according to Graser et al. [2001]
Desulfated extracts were separated by HPLC (Waters WISP 710 B, Milford, MA) fitted with a C-18 reverse-phase column (Spherisorb ODS-2, 5 µm, 4.6 x 250 mm; Sigma-Aldrich) using (A) dd water and (B) 20% acetonitrile (HPLC grade in dd water) gradient at a flow rate of 1.5 mL1. The 39-min run consisted of 1% (v/v) B (1 min), 1% to 99% (v/v) B (20 min), 3 min hold at 99% (v/v) B, 99% to 1% (v/v) B (5 min), and a 10-min final hold at 1% (v/v) B. The eluent was monitored by diode array detection between 190 and 360 nm. GS peaks were identified using retention time and UV spectra. Quantification was done by subtraction of hydrolyzed from and unhydrolyzed extracts at A229 as described by Mewis et al. (2002) For each experiment, statistical differences in single GS classes and total GS content among mutants and between treatments were detected by ANOVA and the posthoc Tukey's HSD test in SYSTAT 10.0. To determine whether GS might be responsible for differences among plant genotypes in plant resistance or insect performance, simple Pearson product-moment correlation coefficients were calculated between GS contents and insect performance and consumption results for the same plants. While multiple regression would be an ideal way to examine the relative contribution of specific GS structures to insect performance, we are unable to do so because of the need to combine replicate plants for chemical analyses. For the correlation analysis reported here, the average performance data for a pair of plants is plotted against their combined GS content.
We thank A. Daniel Jones for analyses, Fred Gildow for valuable suggestions on checking aphids for viruses and endosymbionts, and Alvin Simmons for providing B. brassicae. We thank Anne Walton for providing JA-treated plant material for GS analysis; Irmgard Seidl-Adams, Nate McCartney, and two anonymous reviewers for valuable comments on the manuscript; and Jonathan Gershenzon and Jim Tokuhisa for helpful comments and support for the RT-PCR. Received September 13, 2004; returned for revision December 21, 2004; accepted January 14, 2005.
1 This work was supported by the Max Kade Foundation and Defense Advanced Research Projects Agency (grant nos. N000140110846 and N660010218924 to J.C.S. and R.R.), and the National Science Foundation (grant no. IBN0313492 to J.C.S., R.R., and A.D. Jones).
2 Present address: Humboldt University Berlin, Institute for Horticultural Science, Urban Horticulture, Lentzeallee 75, 14195 Berlin, Germany. Article, publication date, and citation information can be found at www.plantphysiol.org/cgi/doi/10.1104/pp.104.053389. * Corresponding author, e-mail ujq{at}psu.edu; fax 8148634439.
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