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Olivier Bouchez, Carine Huard, Séverine Lorrain, Dominique Roby, Claudine Balagué, Ethylene Is One of the Key Elements for Cell Death and Defense Response Control in the Arabidopsis Lesion Mimic Mutant vad1 , Plant Physiology, Volume 145, Issue 2, October 2007, Pages 465–477, https://doi.org/10.1104/pp.107.106302
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Abstract
Although ethylene is involved in the complex cross talk of signaling pathways regulating plant defense responses to microbial attack, its functions remain to be elucidated. The lesion mimic mutant vad1-1 (for vascular associated death), which exhibits the light-conditional appearance of propagative hypersensitive response-like lesions along the vascular system, is a good model for studying the role of ethylene in programmed cell death and defense. Here, we demonstrate that expression of genes associated with ethylene synthesis and signaling is enhanced in vad1-1 under lesion-promoting conditions and after plant-pathogen interaction. Analyses of the progeny from crosses between vad1-1 plants and either 35S∷ERF1 transgenic plants or ein2-1, ein3-1, ein4-1, ctr1-1, or eto2-1 mutants revealed that the vad1-1 cell death and defense phenotypes are dependent on ethylene biosynthesis and signaling. In contrast, whereas vad1-1-dependent increased resistance was abolished by ein2, ein3, and ein4 mutations, positive regulation of ethylene biosynthesis (eto2-1) or ethylene responses (35S∷ERF1) did not exacerbate this phenotype. In addition, VAD1 expression in response to a hypersensitive response-inducing bacterial pathogen is dependent on ethylene perception and signaling. These results, together with previous data, suggest that VAD1 could act as an integrative node in hormonal signaling, with ethylene acting in concert with salicylic acid as a positive regulator of cell death propagation.
Plants regulate the different processes of their biology by producing a diverse set of hormones that act by modulating gene expression. Ethylene is one of them and affects myriad developmental processes, such as seedling emergence, leaf and flower senescence, formation of the vascular system, ripening, organ abscission, and also responses to biotic and abiotic stresses (Abeles et al., 1992; Bleecker and Kende, 2000; van Doorn, 2005). Interestingly, this hormone has been shown in certain cases to modulate programmed cell death (PCD) pathways, such as ethylene-induced leaf senescence, which depends on age-related changes (Jing et al., 2002; Lim et al., 2007) or fruit ripening (Adams-Phillips et al., 2004). PCD in plants is necessary for growth, but also for survival in response to environmental stresses, and occurs on a local or large scale (Pennell and Lamb, 1997). So far, the hypersensitive response (HR), a local and rapid cell death occurring in response to most pathogens and limiting growth of the microorganism, is the best-studied example of PCD. Plant defense (and HR) is regulated through a complex network of transduction pathways involving a number of signaling molecules: reactive oxygen species (ROS), nitric oxide, salicylic acid (SA), jasmonic acid (JA), and ethylene (Kunkel and Brooks, 2002). However, our current knowledge of the role of ethylene in plant defense is still limited.
It is well known that a large burst of ethylene is produced after the early steps of HR initiation and can induce defense-related genes (Boller, 1991). Treatment of plants with ethylene has long been known to increase either susceptibility or resistance, depending on the plant-pathogen interaction, and on the conditions of the interaction (Brown et al., 1993; Van Loon and Pennings, 1993; Diaz et al., 2002). More recently, the availability of plant mutants affected in ethylene production or signaling has enabled the study of the role of this phytohormone in a more functional way (Broekaert et al., 2006). However, conflicting results were obtained, showing in some cases that ethylene can act as a virulence factor of bacterial and fungal pathogens and, in other cases, indicating its involvement as a signaling compound in disease resistance (Broekaert et al., 2006; van Loon et al., 2006). These contrasting effects might be due to the fact that during plant-pathogen interactions, ethylene regulates PCD, which is observed both during the HR and disease development (Greenberg, 1997). The effects of ethylene in cells at different stages of infection and at different distances from the inoculation sites of the pathogens might also be quite different. Finally, as mentioned before, ethylene acts in concert with signaling molecules, such as the antagonistic interactions described between SA and JA/ethylene (Dong, 1998; van Loon et al., 2006) or the synergistic action of SA and ethylene (Schenk et al., 2000; Glazebrook, 2005).
Lesion mimic mutants (LMMs), which display spontaneous PCD and constitutively express defense responses, have been used as models for deciphering cell death signaling pathways (Lorrain et al., 2003). They are classified in two groups based upon the assumption that two mechanisms are involved in controlling cell death: initiation and propagation. Propagation mutants, unable to control the rate and extent of the lesions, are thought to be affected in genes controlling the suppression/limitation of PCD, whereas the other LMMs, the so-called initiation mutants, would be altered in the initiation of the process (Walbot et al., 1983). Many of these mutants have more than one permanently activated signaling pathway. However, the SA pathway predominates in these studies because the HR often triggers activation of SA-dependent signaling (Lorrain et al., 2003). However, plant defense responses are also controlled by mechanisms depending on ethylene and/or JA and, indeed, several LMMs (cpr5, cpr22, ssi1, and hrl1) show PDF1.2 expression, a marker of activation of ethylene and JA pathways (Penninckx et al., 1998). Appearance of the lesions in the acd5, hrl1, and dll1 mutants is correlated with increased ethylene production (Greenberg et al., 2000; Devadas et al., 2002; Pilloff et al., 2002). In addition, when treated with ethylene, the acd1 mutant presents accelerated cell death with extension of necrosis in leaves (Greenberg and Ausubel, 1993). Crosses of a few LMMs (acd5, cpr5, hrl1, cpr22, cet, dnd1, dnd2) with mutants impaired in JA and/or ethylene pathways (jar1, ein2) showed that the appearance of lesions in initiation mutants is either unaffected (dnd1, dnd2; Genger et al., 2006) or delayed with more or less severity, suggesting in this latter case that ethylene plays a role in the proper timing and amplification of cell death. In propagation mutants, with the exception of dll1 for which the role of ethylene remains unclear (Pilloff et al., 2002; Brodersen et al., 2005), no data are available. In terms of disease resistance analysis, these double mutants show various degrees of responses, consistent with the cell death phenotypes observed, suggesting that ethylene differentially affects resistance against pathogens with different lifestyles (necrotrophs, biotrophs) and plays an important role in mediating induced resistance (van Loon et al., 2006).
LMMs have also been powerful tools for investigating the role of defense-signaling pathways such as SA and its cross talks with other pathways (Clarke et al., 2000; Rusterucci et al., 2001). The role of ethylene is still an enigma during plant-pathogen interactions and has been poorly investigated using LMMs (Brodersen et al., 2002; Devadas et al., 2002; Pilloff et al., 2002). Because this hormone might play a key role in cell death control rather than resistance/susceptibility per se, analysis of the regulation of these processes by ethylene in the context of a well-characterized LMM should help to clarify the complex role of this hormone in disease resistance modulation in plants. The vascular associated death1 (vad1) Arabidopsis (Arabidopsis thaliana) mutant displays necrotic HR-like lesions propagating along the vascular system and enhanced expression of defense genes, accumulation of high levels of SA, and increased resistance to virulent and avirulent strains of Pseudomonas syringae pv tomato (Pst). Analysis of the progeny from crosses between vad1-1 plants and either nahG transgenic plants, sid1, sid2, npr1, eds1, or ndr1 mutants revealed the vad1-1 cell death phenotype to be dependent on SA biosynthesis, but NPR1 independent. The mutant vad1-1 not only exhibits increased expression of PR1 (a marker of the SA-signaling pathway), but also of PDF1-2 and PR3 (markers of ethylene/JA-signaling pathways), suggesting that several defense pathways are activated (Lorrain et al., 2004). These data associated with strong and conditional regulation of cell death and resistance in the vad1-1 mutant make vad1-1 an interesting model for evaluating the role of ethylene in cell death and defense pathways as well as its possible cross talk with SA.
Here we exploit different approaches to elucidate the role of ethylene in (1) cell death and resistance phenotypes of vad1-1; and (2) transcriptional regulation of this negative regulator of cell death by ethylene and/or the ethylene-signaling pathway. By using the vad1-1 mutant in combination with ein2-1, ein3-1, ein4-1, ctr1-1, and eto2-1 mutants and an ERF1 overexpressor, our results show that ethylene plays a major role in the cell death program controlled by VAD1. Transcriptional activation of VAD1, which was previously shown to occur late during plant-pathogen interactions, appears to be dependent on ethylene production and signaling.
RESULTS
Expression of Genes Associated with Ethylene Synthesis and Signaling Is Enhanced in vad1-1 under Lesion-Promoting Conditions and during Plant-Pathogen Interaction
Ethylene-associated gene expression in wild-type and vad1-1 plants. Quantitative RT-PCR analysis of gene expression in leaves of ACO1, ACO2, EIN2, ERF1, WRKY70, MYC2, PDF1-2, PR4, and PR1 in wild-type (Ws-4) and vad1-1 plants 17 (white bars), 21 (lesion formation in vad1-1; gray bars), and 31 d (black bars) after transplanting under lesion-promoting conditions. Each measurement is an average of two or three replicates, and the experiment was repeated three times with similar results. See “Materials and Methods” for details.
Ethylene-associated gene expression in wild-type (Ws-4) and vad1-1 plants (26 d posttransplanting plants) after inoculation with the avirulent bacteria Pst DC3000/avrRpm1. Quantitative RT-PCR analysis of gene expression of ACO1, EIN2, ERF1, WRKY70, PDF1-2, and PR1 in wild type (white squares) and vad1-1 (black squares). Each measurement has been performed on 16 to 20 leaves collected from four independent plants, and the experiment was repeated two times with similar results. See “Materials and Methods” for details.
Based on these findings, it can be concluded that, during an incompatible interaction, ethylene-associated genes are more induced at later time points in the mutant vad1-1 as compared to the wild type. This is in good agreement with the fact that VAD1 has been shown to act late during the HR and at the lesion borders, and with a possible role in cell death limitation. This is also in accordance with the observation that other defense marker genes, such as PR1, are constitutively expressed in vad1-1 and overexpressed in response to pathogen attack, and that vad1-1 shows enhanced resistance to Pst (Lorrain et al., 2004).
Cell Death and Defense Phenotypes of vad1-1 Require the Positive Ethylene-Signaling Components EIN2, EIN3, and EIN4
To investigate whether EIN2, EIN3, and EIN4, known as positive regulators of the ethylene-signaling pathway (Guzman and Ecker, 1990; Roman et al., 1995), play a role in vad1-1 phenotypes, we generated and analyzed double mutants (homozygous F3 lines) between vad1-1 and the corresponding ethylene-insensitive mutants (ein2-1, ein3-1, and ein4-1). Because these mutations are in a Columbia-0 (Col-0) background, a backcross of vad1-1 (background Ws-4) to Col-0 was performed as a control, showing that the vad1-1-conferred cell death phenotype segregated as in a parental backcross and appeared with the same kinetics and intensity under the same conditions (data not shown).
Effect of ein2-1, ein3-1, and ein4-1 mutations on the cell death and defense phenotypes of vad1-1 plants. A, Six-week-old single- and double-mutant plants 31 d after transplanting (10 d after lesion formation in vad1-1). Arrows indicate lesion formation on plants. B, Transcript levels of the defense-related genes PDF1.2 and PR1 in wild-type, single-, and double-mutant plants evaluated by quantitative RT-PCR. Plants were grown under lesion-promoting conditions and harvested 17 (white bars), 21 (lesion formation in vad1-1; gray bars), and 31 d (black bars) after transplanting. Each measurement is an average of two replicates and experiments were repeated two or three times and similar results were obtained. C, Bacterial populations in wild-type, single-, and double-mutant plants. Inoculations with Pst strain DC3000 and strain DC3000 expressing avrRpm1 were performed on leaves without lesion with a bacterial suspension at 2 × 105 and 5 × 105 cfu mL−1, respectively. Bacterial populations were measured at 0 (white bars) and 3 d (black bars) postinoculation. Mean bacterial densities are shown (three to five replicates with corresponding sds) for one representative experiment from two or three independent experiments. Asterisks denote significantly different values from bacterial number in vad1-1 according to Student's t test (*, P ≤ 0.05; **, P ≤ 0.005). See “Materials and Methods” for details.
Percentage of leaves with lesions in vad1-1, vad1-1/ein2-1, vad1-1/ein3-1, vad1-1/ein4-1, vad1-1/eto2-1, vad1-1/ctr1-1, and vad1-1/35S∷ERF1 double mutants
Results indicated are mean values of two independent experiments and represent a percentage of leaves with lesions, which was similar for all the plants. Fifty plants of each mutant or double mutant have been used in this experiment.
Mutant Lines . | Percentage of Leaves with Lesions . | . | . | . | |||
|---|---|---|---|---|---|---|---|
. | 17 . | 21 . | 24 . | 31 . | |||
| d posttransplanting | |||||||
| vad1-1 | 0 | 10 | 50 | 60 | |||
| vad1-1/ein2-1 | 0 | 0 | 5 | 15 | |||
| vad1-1/ein3-1 | 0 | 0 | 0 | 5 | |||
| vad1-1/ein4-1 | 0 | 0 | 8 | 20 | |||
| vad1-1/eto2-1 | 0 | 33 | 77 | 85 | |||
| vad1-1/ctr1-1 | 10 | 40 | 65 | 80 | |||
| vad1-1/35S∷ERF1 | 10 | 25 | 70 | 80 | |||
Mutant Lines . | Percentage of Leaves with Lesions . | . | . | . | |||
|---|---|---|---|---|---|---|---|
. | 17 . | 21 . | 24 . | 31 . | |||
| d posttransplanting | |||||||
| vad1-1 | 0 | 10 | 50 | 60 | |||
| vad1-1/ein2-1 | 0 | 0 | 5 | 15 | |||
| vad1-1/ein3-1 | 0 | 0 | 0 | 5 | |||
| vad1-1/ein4-1 | 0 | 0 | 8 | 20 | |||
| vad1-1/eto2-1 | 0 | 33 | 77 | 85 | |||
| vad1-1/ctr1-1 | 10 | 40 | 65 | 80 | |||
| vad1-1/35S∷ERF1 | 10 | 25 | 70 | 80 | |||
Percentage of leaves with lesions in vad1-1, vad1-1/ein2-1, vad1-1/ein3-1, vad1-1/ein4-1, vad1-1/eto2-1, vad1-1/ctr1-1, and vad1-1/35S∷ERF1 double mutants
Results indicated are mean values of two independent experiments and represent a percentage of leaves with lesions, which was similar for all the plants. Fifty plants of each mutant or double mutant have been used in this experiment.
Mutant Lines . | Percentage of Leaves with Lesions . | . | . | . | |||
|---|---|---|---|---|---|---|---|
. | 17 . | 21 . | 24 . | 31 . | |||
| d posttransplanting | |||||||
| vad1-1 | 0 | 10 | 50 | 60 | |||
| vad1-1/ein2-1 | 0 | 0 | 5 | 15 | |||
| vad1-1/ein3-1 | 0 | 0 | 0 | 5 | |||
| vad1-1/ein4-1 | 0 | 0 | 8 | 20 | |||
| vad1-1/eto2-1 | 0 | 33 | 77 | 85 | |||
| vad1-1/ctr1-1 | 10 | 40 | 65 | 80 | |||
| vad1-1/35S∷ERF1 | 10 | 25 | 70 | 80 | |||
Mutant Lines . | Percentage of Leaves with Lesions . | . | . | . | |||
|---|---|---|---|---|---|---|---|
. | 17 . | 21 . | 24 . | 31 . | |||
| d posttransplanting | |||||||
| vad1-1 | 0 | 10 | 50 | 60 | |||
| vad1-1/ein2-1 | 0 | 0 | 5 | 15 | |||
| vad1-1/ein3-1 | 0 | 0 | 0 | 5 | |||
| vad1-1/ein4-1 | 0 | 0 | 8 | 20 | |||
| vad1-1/eto2-1 | 0 | 33 | 77 | 85 | |||
| vad1-1/ctr1-1 | 10 | 40 | 65 | 80 | |||
| vad1-1/35S∷ERF1 | 10 | 25 | 70 | 80 | |||
To assess the defense phenotype of these mutants, expression of PDF1-2 and PR1 defense genes was analyzed in two independent lines for all the double mutants generated, in comparison with vad1-1. PDF1-2 and PR1 expression was abolished in the vad1-1/ein2-1 double mutant, as well as in the ein2-1 mutant, and drastically reduced in the vad1-1/ein3-1 and ein3-1 mutants. In good agreement with the PR1 expression pattern in vad1-1/ein2-1 and vad1-1/ein3-1, ISOCHORISMATE SYNTHASE1 (ICS1) expression was found to be abolished in double mutants (Fig. 3B). AtrbohD, as a marker of ROS production, was also assessed and exhibited a similar expression profile (Fig. 3B). In the double mutant vad1-1/ein4-1, a delay in the accumulation of PDF1-2 and PR1 transcripts was observed, PDF1-2 and PR1 transcripts accumulating only after lesion appearance when ICS1 and AtrbohD expression is strongly reduced, which could indicate partial involvement of the EIN4 ethylene receptor (Fig. 3B). These results are consistent with the data previously obtained for defense genes related to other signaling pathways (Lorrain et al., 2004) and indicate an intricate SA/ethylene/ROS network. Thus, ethylene seems also to be required for the vad1-1-conferred defense phenotype.
We then tested whether the mutations ein2-1, ein3-1, and ein4-1 might also affect the observed enhanced resistance of vad1-1 to different strains of Pst (Lorrain et al., 2004). For this purpose, resistance phenotypes of the different mutant lines were evaluated following inoculation with virulent (DC3000) and avirulent (DC3000/avrRpm1) strains of Pst by measuring in planta bacterial growth (Fig. 3C; data not shown). Importantly, the enhanced resistance observed in vad1-1 to both Pst strains was abrogated when the ein3-1 mutation was present (Fig. 3C). The resistance of vad1-1/ein3-1 mutant plants was compromised upon inoculation with the avirulent strain, with bacterial growth similar to ein3-1 3 times higher than in wild-type Col-0 and 5 times higher than in the vad1-1 mutant. Similar differences were observed with the virulent strain Pst DC3000 (Fig. 3C) and for the vad1-1/ein2-1 double mutant (data not shown). Resistance for the vad1-1/ein4 double mutant was not statistically different from vad1-1, certainly due to the late expression of defense-related genes observed in double mutants. This suggests that EIN4 is certainly not the only ethylene receptor associated with vad1-1-increased resistance (data not shown). The phenotypes of leaves infected under these conditions indicated that weak chlorosis was observed 4 d postinoculation, the symptom intensity correlating with bacterial population measurement.
Taken together, these results indicate that the cell death, defense, and resistance phenotypes of vad1-1 are dependent on positive regulation of the ethylene pathway by EIN2 and EIN3.
Overexpression of the Positive Regulator ERF1, Depletion of the Negative Regulator CTR1, and Constitutive Activation of ACS5 in the eto2-1 Mutant Lead to Amplification of the Cell Death and Defense Phenotypes of vad1-1
Effect of eto2-1 and ctr1-1 mutations and ERF1 transgene on the cell death and defense phenotypes of vad1-1 plants. A, Single- and double-mutant plants, 17 and 31 d after transplanting. A closeup (3×) of the double mutant vad1-1/ctr1-1 is presented. Arrows indicate lesion formation on plants. B, Transcript levels of defense-related genes PDF1.2 and PR1 in wild-type, single-, and double-mutant plants evaluated by quantitative RT-PCR. Plants were grown under lesion-promoting conditions and harvested 17 (white bars), 21 (lesion formation in vad1-1; gray bars), and 31 d (black bars) after transplanting. Each measurement is an average of two replicates and experiments were repeated two times with similar results. C, Bacterial populations in wild-type, single-, and double-mutant plants. Inoculations with Pst strain DC3000 and strain DC3000 expressing avrRpm1 were performed on leaves without lesion with a bacterial suspension at 2 × 105 and 5 × 105 cfu mL−1, respectively. Bacterial populations were measured at 0 (white bars) and 3 d (black bars) postinoculation. Mean bacterial densities are shown (three to five replicates with corresponding sds) for one representative experiment from two or three independent experiments. Asterisks denote significantly different values from bacterial number in vad1-1 according to Student's t test (*, P ≤ 0.05; **, P ≤ 0.005). See “Materials and Methods” for details.
Cell death phenotype of vad1-1 after ethylene and 1-MCP treatment
Results indicated are mean values of two experiments and are expressed as percentage of leaves presenting lesions. Observations were made 5 d after treatment on vad1-1 mutant (23 d after transplanting). At time 0 of the experiment, no lesion was visible on vad1-1 plants.
Treatment . | Percentage of Leaves with Lesions (5 d after Treatment) . |
|---|---|
| Air | 17 |
| C2H4 | |
| 5 μL L−1 | 52 |
| C2H4 | |
| 20 μL L−1 | 66 |
| C2H4 | |
| 80 μL L−1 | 72 |
| MCP | |
| 1 μL L−1 | 0 |
Treatment . | Percentage of Leaves with Lesions (5 d after Treatment) . |
|---|---|
| Air | 17 |
| C2H4 | |
| 5 μL L−1 | 52 |
| C2H4 | |
| 20 μL L−1 | 66 |
| C2H4 | |
| 80 μL L−1 | 72 |
| MCP | |
| 1 μL L−1 | 0 |
Cell death phenotype of vad1-1 after ethylene and 1-MCP treatment
Results indicated are mean values of two experiments and are expressed as percentage of leaves presenting lesions. Observations were made 5 d after treatment on vad1-1 mutant (23 d after transplanting). At time 0 of the experiment, no lesion was visible on vad1-1 plants.
Treatment . | Percentage of Leaves with Lesions (5 d after Treatment) . |
|---|---|
| Air | 17 |
| C2H4 | |
| 5 μL L−1 | 52 |
| C2H4 | |
| 20 μL L−1 | 66 |
| C2H4 | |
| 80 μL L−1 | 72 |
| MCP | |
| 1 μL L−1 | 0 |
Treatment . | Percentage of Leaves with Lesions (5 d after Treatment) . |
|---|---|
| Air | 17 |
| C2H4 | |
| 5 μL L−1 | 52 |
| C2H4 | |
| 20 μL L−1 | 66 |
| C2H4 | |
| 80 μL L−1 | 72 |
| MCP | |
| 1 μL L−1 | 0 |
The effect of eto2-1, ctr1-1, and 35S∷ERF1 was then studied on the expression of defense-related genes in vad1-1 (Fig. 4B). The ctr1-1 and eto2-1 mutations and the 35S∷ERF1 transgene accelerated PDF1-2 transcript accumulation as compared to the mutant vad1-1: 17 d after transplanting, double mutants showed PDF1-2 expression, whereas the vad1-1 mutant did not exhibit detectable PDF1-2 expression. In addition, ctr1-1 and eto2-1 mutations did not only affect the timing of PDF1-2 expression, but also its level, which appeared to be significantly increased in double mutants compared to vad1-1. Thus, we showed that vad1-1-associated expression of PDF1-2 was accelerated and increased when the ethylene-signaling pathway is constitutively activated (vad1-1/ctr1-1 and vad1-1/eto2-1), whereas its expression was only accelerated in vad1-1/35S∷ERF1 lines. PR1 expression was also accelerated in double mutants as compared to vad1-1, but was not increased (Fig. 4B). This is consistent with the results obtained with ethylene-insensitive mutants and strengthens the hypothesis that vad1-1-associated defense gene expression is dependent on ethylene synthesis and signaling pathways.
These data were extended by in planta bacterial growth experiments performed on all the double mutants except vad1-1/ctr1-1, because of the reduced size of the leaves of the double mutant. In response to avirulent (DC3000/avrRpm1) and virulent (DC3000) strains of Pst, vad1-1/eto2-1 double mutants (shown as an example) exhibited similar levels of resistance as vad1-1, clearly more resistant than the wild-type and the mutant eto2-1 (5-fold; Fig. 4C). Similar results were obtained for double mutants vad1-1/35S∷ERF1 (data not shown). Leaf phenotypes, in good agreement with observations performed on crosses between vad1-1 and ethylene-insensitive mutants, retained the vad1-1 leaf morphology once lesions appear.
Thus, we conclude that the cell death and defense phenotypes, but not the increase in resistance of vad1-1, are amplified by overexpression of ERF1, a positive regulator of ethylene responses, by depletion of CTR1, a negative regulator of ethylene signaling, and by activation of ACS5, a protein involved in ethylene biosynthesis.
VAD1 Expression Is Dependent on Ethylene Biosynthesis and Signaling Pathways
VAD1 expression is dependent on ethylene biosynthesis and signaling pathways. Transcript levels were quantified by quantitative RT-PCR. A, VAD1 transcript levels in Col-0 (diamonds), ein2-1 (squares), ein3-1 (triangles), and ein4-1 (circles) plants in response to inoculation with the avirulent pathogen Pst DC3000/avrRpm1. B, VAD1 transcript levels in Col-0 (diamonds), eto2-1 (squares), ctr1-1 (triangles), 35S∷ERF1 (circles) plants, in response to inoculation with the avirulent pathogen Pst DC3000/avrRpm1. C, PDF1.2 transcript levels in Col-0 (diamonds), ein2-1 (squares), ein3-1 (triangles), and ein4-1 (circles) plants in response to inoculation with the avirulent pathogen Pst DC3000/avrRpm1. D, PDF1.2 transcript levels in Col-0 (diamonds), eto2-1 (squares), ctr1-1 (triangles), 35S∷ERF1 (circles) plants, in response to inoculation with the avirulent pathogen Pst DC3000/avrRpm1. Each measurement is an average of two replicates and experiments were repeated two times with similar results. E and F, VAD1 expression in response to ACC treatment. Ten-day-old wild-type (Col-0) plants were treated with water (white squares) or with ACC (black squares) at a final concentration of 100 μ m. Mean values with corresponding sds are shown for three independent experiments. G and H, VAD1 and EIN2 transcript levels after treatment of Ws-4 plants (23 d after transplanting) with air (black diamonds), 5 μL L−1 ethylene (black squares), 20 μL L−1 ethylene (black triangles), 80 μL L−1 ethylene (black crosses), and 1 μL L−1 1-MCP (white circles). Each measurement is an average of two replicates and experiments were repeated two times with similar results. See “Materials and Methods” for details.
In agreement with these results, ethylene is also able to induce VAD1 expression in a dose-dependent manner (Fig. 5G), VAD1 expression being maximal at 72 h with 5 μL L−1 of ethylene treatment. 1-MCP treatment (1 μL L−1) abolished VAD1 expression. EIN2 expression, used as a positive control, was constantly activated by ethylene treatment and was inhibited by 1-MCP.
These data indicate that VAD1 expression is dependent on ethylene production, perception, and signaling. In addition, the same expression profiles were observed in response to pathogen inoculation and to ACC treatment, indicating that ethylene could contribute to VAD1 expression regulation during an interaction with avirulent bacteria.
DISCUSSION
LMMs showing aberrant regulation of cell death constitute powerful tools not only for the identification of genes involved in the regulation and/or execution of PCD, but also to decipher cell death and defense pathways in plants (Lorrain et al., 2003). In this article, we provide genetic and molecular evidence that (1) VAD is involved in a signaling cascade that modulates (directly or indirectly) gene expression associated with ethylene synthesis and signaling; (2) VAD acts through the ethylene pathway; and (3) VAD expression is regulated by ethylene.
Ethylene and Cell Death in vad1
As previously demonstrated for SA, ethylene is a requisite modulator of cell death pathways activated in vad1-1. Our results clearly show that the cell death phenotype of vad1-1 is dependent on ethylene perception, through EIN4, and on positive regulators of the signaling pathway of ethylene, such as EIN2 and EIN3. Conversely, the extent of cell death in the mutant vad1-1 is increased and its time of appearance accelerated in lines overexpressing ERF1, a positive regulator of ethylene responses, and in the ctr1 mutant, depleted of CTR1, a negative regulator of ethylene signaling. These effects are quantitatively important (Table I) and demonstrate without ambiguity that the ethylene-signaling pathway is required for cell death initiation and propagation in vad1-1. In addition, no HR-like or microscopic HR could be observed in the double mutants at the time of lesion appearance in vad1-1. Ethylene biosynthesis also positively influences the vad1-1 cell death phenotype: Although to a lesser extent than the ethylene-signaling mutations, the mutation eto2-1, which leads to activation of ACS5, a protein involved in ethylene biosynthesis, significantly accelerates cell death appearance in vad1-1 and increases its propagation. In addition, ethylene biosynthesis (except ACS5, known to be regulated at the translational level) and signaling-associated genes are all activated in the mutant as soon as lesions appear, indicating a role for ethylene in lesion development. However, it should be noted at this point that all these effects on cell death symptoms are partial; a complete suppression of the phenotype, or the complete collapse of the plants was not observed. This suggests that ethylene-dependent cell death in vad1-1 comprises both ethylene-dependent and ethylene-independent components, such as SA, previously demonstrated to play an essential role. Concerning the other propagation mutants already characterized, ethylene has been very rarely studied as a regulator of the control of cell death, except for acd1 (Greenberg and Ausubel, 1993), which exhibits expended leaf necrosis when treated with ethylene. The same observations have been performed for vad1-1, reinforced by the fact that 1-MCP treatment of vad1-1 leads to complete inhibition of cell death propagation (Table II). Ethylene has been shown to act as a promoting factor for cell death propagation in the ozone-sensitive Arabidopsis mutant rcd1 (Overmyer et al., 2000). In this case, ethylene was suggested to be responsible for amplification of superoxide accumulation, which, in turn, promotes the execution of spreading cell death. RCD1, which has been identified as a WWE protein-protein interaction domain protein (Ahlfors et al., 2004), is thought to be an integrative node in hormonal signaling and regulation of several stress responses. As discussed later, a similar function can be envisaged for VAD1.
Ethylene and Defense/Resistance in vad1
Ethylene has a complex and still not completely elucidated function in plant defense because its role is probably different according to the plant-pathogen interaction and according to the invasion strategy of the pathogen and also because in-depth cell biology approaches and/or simplified tools are necessary to address the question of spatial and temporal action of ethylene (Glazebrook, 2005; van Loon et al., 2006). It is generally admitted that ethylene, in concert with JA, contributes to resistance to necrotrophic, but not biotrophic, pathogens (Thomma et al., 2001; van Loon et al., 2006). For pathogens with mixed lifestyles, such as Hyaloperonospora parasitica or P. syringae, all three signaling pathways (SA, JA, and ethylene) are involved, with exceptions and complexities related to the nature of the pathosystem and the way the inoculation tests are performed (Devadas and Raina, 2002; O'Donnell et al., 2003; Glazebrook, 2005). In vad1-1, defense activation and resistance to the bacterial pathogen Pst are dependent on the ethylene components EIN2, EIN3, and EIN4. Interestingly, whereas defense gene activation is also dependent on ACS5 activation and ERF1 expression, increased resistance is not affected by these ethylene components under our experimental conditions. This might be explained by the high level of increased resistance already reached in vad1-1, a level that cannot be further affected by ethylene overproduction and/or defense overactivation. These results suggest either (1) an important role of ethylene, together with SA, in limiting Pst growth; or, more likely, (2) participation of the ethylene pathways to the increased resistance phenotype of vad1-1, as the result of its constitutive activation, in concert with the SA pathway, by pathogen attack in the absence of VAD1. In favor of this latter hypothesis, most of the ethylene mutants tested in response to pathogens, such as Pst or H. parasitica, do not show significant phenotypic variations as compared to the wild type (Thomma et al., 2001; Devadas and Raina, 2002). In some cases, ein2 or 35S∷ERF1 lines showed slightly modified phenotypes in response to Pst: enhanced or decreased tolerance, respectively (Bent et al., 1992; Berrocal-Lobo et al., 2002), that we did not reproduce, probably because of the rather low inoculum used in our experiments. In conclusion, ethylene and SA pathways seem to act synergistically in defense regulation in the mutant vad1-1, probably as a consequence of the propagative cell death occurring in the mutant.
Cross Talk between Ethylene, SA, JA, and ROS for Cell Death/Defense Regulation in vad1
Besides ethylene, VAD1 expression and vad1-1-conferred phenotypes have been shown to be dependent on SA (Lorrain et al., 2004). JA signaling also has been shown to be involved in cell death limitation (Overmyer et al., 2000). These three stress-related signaling pathways can either cooperate or act as antagonists as function of the different stresses applied and they play an important role in defense-signaling pathways. Cross talk between SA-, ethylene-, and JA is thought to be essential in fine tuning complex defense responses established by the type of interaction (Reymond and Farmer, 1998; Lorenzo and Solano, 2005). The fact that the phenotypes of vad1-1 are abolished/decreased in the double mutants vad1-1/nahG, similarly to the observations made with the ethylene double mutants, implies that VAD1 operates upstream of SA and ethylene, and that basal resistance is intimately related to cell death in vad1-1. In favor of synergistic action of the two signals, blocking the SA pathway in vad1-1 either by sid1 or nahG resulted in a dramatic decrease not only in PR1 expression, but also in PDF1-2 and PR5 genes. In parallel, positive or negative regulation of the ethylene pathways in vad1-1 by the different ethylene-related mutations resulted not only in changes in PDF1-2 expression, but also in PR1 and ICS1 expression, suggesting that SA production is affected in these double mutants (Figs. 3 and 4). Thus, ethylene and SA act together in the regulation of cell death and defense phenotypes of vad1-1.
To address the question of the role of JA in the regulation of cell death in vad1-1, we crossed vad1-1 with jar1-1, a JA-insensitive mutant (Staswick et al., 1992). Whereas the jar1-1 mutant did not exhibit lesions under our growth conditions, the double mutant jar1-1/vad1-1 showed accelerated lesion formation and increased severity of the lesions, as compared to vad1-1 (Supplemental Fig. S2A). In terms of defense expression, PDF1-2 expression was clearly accelerated and increased (Supplemental Fig. S2B). A similar pattern of expression was observed for PR1 expression. Our results demonstrate clearly that JA negatively regulates propagation of cell death in vad1-1, and that, as demonstrated for the ozone-sensitive mutant rcd1 (Tuominen et al., 2004), there is mutual antagonism between the two hormones for the regulation of cell death propagation in vad1-1. Genetic and pharmacological experiments aimed at deciphering more precisely the cooperative, synergistic, or antagonistic interactions between the three hormones should allow a better assessment of the cell death phenotype conferred by vad1-1.
In this context, the accumulation of ROS, which has been implicated in the HR cell death (Torres et al., 2002) and that is potentiated by SA and ethylene in combination with avirulent pathogens (Kotchoni and Gachomo, 2006), might be the common regulator of these pathways in vad1-1. As previously demonstrated, the vad1-1 mutant accumulates elevated levels of ROS, evaluated through AtrbohD expression, and microscopic observation of hydrogen peroxide production at the lesion sites (Lorrain et al., 2004). Crosses of the mutant vad1-1 with the ethylene-insensitive mutants (ein2, ein3, ein4) drastically reduced expression of the AtrbohD gene to the background level, suggesting that ethylene, as well as SA (or SA-regulated signals), may both, in concert, potentiate the accumulation of ROS. As described by Kankasjarvi and collaborators, in the case of ozone stress, ROS production might be the central component of a self-amplifying loop termed the oxidative cell death cycle (Kangasjarvi et al., 2005) in which the three hormones play a critical regulatory role.
Schematic representation of cell death regulation by VAD1 during plant-pathogen interaction. Black arrows indicate positive regulation, whereas gray arrows indicate the absence of positive regulation. Black end-blocked lines indicate negative regulation, whereas gray end-blocked lines indicate the absence of negative regulation. ET, Ethylene.
Signaling Messengers and VAD1 Function
VAD1 encodes a plant membrane protein containing two domains, one with an unknown function and a GRAM domain that is found in a variety of proteins associated with membrane-coupled processes and signal transduction (Doerks et al., 2000). In humans, the crystal structure of the myotubularins revealed that the myotubularin GRAM domain is part of a larger motif that encompasses a Pleckstrin homology (PH) domain (Choudhury et al., 2006) and the PH/G (PH/GRAM) domain is able to bind to phosphoinositidine lipids (Lorenzo et al., 2005). Taking into account these structural motifs and their putative functions (signaling, binding with pro-cell death lipid messengers), it can be speculated that VAD1 might regulate (1) cell death signaling, which in turn could modulate cell death regulators such as ROS, ethylene, and SA; or (2) ROS production systems, known to be at least in part constituted by membrane proteins such as AtRBOHD (Laloi et al., 2004) and AtGPX1 (Iqbal et al., 2006).
Further approaches, including VAD1 protein subcellular localization, VAD1 overexpression in the cell, and a search for interactors, would undoubtedly shed some light on the biochemical functions of this cell death regulator and its implication in the complex network of hormones that regulates cell death in plants.
MATERIALS AND METHODS
Plant Material
Arabidopsis (Arabidopsis thaliana) plants, accessions Col and Ws, were used in these experiments. Seeds of the mutant plants ein2-1 (Guzman and Ecker, 1990), ein3-1 (Chao et al., 1997), ein4-1 (Roman et al., 1995), eto2-1 (Vogel et al., 1998), ctr1-1 (Kieber et al., 1993), and jar1-1 (Staswick et al., 1992) were obtained from the Nottingham Arabidopsis Stock Centre. The 35S∷ERF1 overexpressor line was kindly provided by R. Solano (CNB Campus Universidad Autonoma).
For all experiments, mutant and wild-type seeds were sterilized and sown on Murashige and Skoog plates as previously described (Balagué et al., 2003) under a light period of 16 h (71 μmol m−2 s−1) at 21°C. Seedlings were transplanted 7 d after sowing to Jiffy pots and grown in a growth chamber under a light period of 9 h (192 μmol m−2 s−1) at 21°C and 40% to 70% humidity. Most experiments were performed with 4- to 6-week-old plants. In these growth conditions, lesions appear on the vad1-1 mutant 21 d after transplanting.
Generation of Double Mutants
Generation of double mutants between different signaling mutants and vad1-1 (pollen donor) was confirmed for the presence of the vad1-1 mutation by selection on kanamycin. For all double mutants, vad1-1 and other mutant plants were crossed, the F1 plants selfed, and the segregating F2 plants genotyped for the mutations of interest. Homozygous vad1-1 plants were then selected by PCR as described previously (Lorrain et al., 2004). ein2-1 and ein3-1 mutations were selected using the already described cleaved amplified polymorphic sequence, using, respectively, the primer pairs 5′-GCTGGTGGTTTGAGATGGAA-3′ and 5′-TTTACATCAGAGTCTTCCTTCAGACT-3′ (Nandi et al., 2003), and 5′-AGGCAGTCTCAAGAGCAAGC-3′ and 5′-CATTCATCAGAAGCGAGCAA-3′ (Wubben et al., 2004). vad1-1/ein4-1 double mutants were selected on Murashige and Skoog agar containing 50 μ m ACC and kanamycin 50 μg mL−1. Plants showing no triple response were selected. ctr1-1 and eto2-1 mutations and 35S∷ERF1 lines were selected on the constitutive triple response conferred by the mutations (Kieber et al., 1993; Solano et al., 1998). Experiments were performed with F3- or F4-derived plants for each double mutant. Three to eight lines per double mutant were phenotyped, then at least three were further used in our experiments and two were presented in the results.
Plant Treatments
Seeds were sterilized, sown on Murashige and Skoog agar, and grown under a light period of 16 h (71 μmol m−2 s−1) at 21°C. Ten days after sowing, 100 μ m ACC (Sigma-Aldrich) or water were added on Murashige and Skoog plates. Ten plantlets were randomly collected at indicated time points.
Ethylene treatment was performed in 3-L tins containing 10 plants and ethylene treatments at different concentrations (5, 20, 80 μL L−1) were injected through a septum. The same experiment was performed with 1-MCP treatment (1 μL L−1). The experiment was done in duplicate.
Ethylene accumulation from adult plants was measured after 8-h incubation in air-tight rubber-cap containers (250 mL). Plants were taken 3 d after lesion appearance in the vad1-1 mutant. Mean values were obtained from four independent experiments and corresponding sds are mentioned. Accumulation of ethylene was determined by gas chromatography.
RNA Extraction and Quantitative RT-PCR
Total RNA extraction was performed from leaves with the Nucleospin RNA kit following the manufacturer's instructions (Macherey-Nagel). Total RNA (1 μg) was subjected to cDNA synthesis in a 20-μL reaction, using 0.5 μL of SuperScript II reverse transcriptase (Invitrogen), 1 μg of oligo(dT), and 10 nmol of dNTP. cDNA (diluted 1:10) was used as a template in the quantitative RT-PCR analysis. Quantitative RT-PCR was performed using gene-specific primers (Supplemental Table S1), LightCycler reagents, and apparatus (Roche Diagnostics). Quantitative RT-PCR was performed using the SYBR GREEN I protocol using 5 pmol of each primer and 1 μL of a 10-fold dilution of RT reaction product in a 10-μL final reaction volume. The PCR conditions are 9 min at 95°C, followed by 45 cycles of 5 s at 95°C, 10 s at 65°C, and 20 s at 72°C. Quantitative PCR reactions were performed with three independent biological assays. Desmine was used as an internal control for RT. β-tubulin4 and a gene (At2g28390) whose deduced protein belong to the SAND family protein whose expression has been shown to be extremely stable under different physiological conditions (Czechowski et al., 2005) were used as biological controls. Data are expressed as fold induction of each point as compared to the wild type.
Bacterial Strains and Inoculation Procedure
The virulent and avirulent Pst strains were grown at 28°C on King's B medium supplemented with the appropriate antibiotics: rifampicin 50 μg mL−1 (DC3000), rifampicin 50 μg mL−1, and tetracyclin 10 μg mL−1 (DC3000/avrRpm1).
Four- or 5-week-old plants were used for bacterial inoculation. For this objective, they were kept at high humidity 12 h before experiments and then grown under light-promoting lesions under the following conditions: 9-h light/15-h dark and 90% humidity. Plants were infiltrated with a bacterial suspension of 2 × 105 colony forming units (cfu) mL−1 (DC3000) or 5 × 105 cfu mL−1 (DC3000/avrRpm1) for determination of in planta bacterial growth, and 5 × 107 cfu mL−1 for gene expression analysis. Determination of in planta bacterial growth was performed as previously described by Lorrain et al. (2004).
Supplemental Data
The following materials are available in the online version of this article.
Supplemental Figure S1. Developmental phenotypes of double mutants.
Supplemental Figure S2. Effect of the jar1-1 mutation on cell death and defense phenotypes of vad1-1 plants.
Supplemental Table S1. Primers used for real-time RT-PCR experiments.
ACKNOWLEDGMENTS
We would like to thank Clare Gough and Yves Marco for critical reading of the manuscript. We are also grateful to Jean-Luc Pariente for preparation of plant material, Roberto Solano for providing seeds of the 35S∷ERF1 line, and Alain Latché for providing 1-MCP.
LITERATURE CITED
Abeles FB, Morgan PW, Salveit ME Jr (
Adams-Phillips L, Barry C, Giovannoni J (
Ahlfors R, Lang S, Overmyer K, Jaspers P, Brosche M, Tauriainen A, Kollist H, Tuominen H, Belles-Boix E, Piippo M, et al (
Balagué C, Lin B, Alcon C, Flottes G, Malmstrom S, Kohler C, Neuhaus G, Pelletier G, Gaymard F, Roby D (
Bent AF, Innes RW, Ecker JR, Staskawicz BJ (
Berrocal-Lobo M, Molina A, Solano R (
Bleecker AB, Kende H (
Boller T (
Boter M, Ruiz-Rivero O, Abdeen A, Prat S (
Brodersen P, Malinovsky FG, Hématy K, Newman M-A, Mundy J (
Brodersen P, Petersen M, Pike HM, Olszak B, Skov S, Odum N, Jorgensen LB, Brown RE, Mundy J (
Broekaert WF, Delaure SL, De Bolle MF, Cammue BP (
Brown I, Mansfield J, Irlam I, Conrads-Srauch J, Bonas U (
Chae HS, Faure F, Kieber JJ (
Chao Q, Rothemberg M, Solano R, Roman G, Terzaghi W, Ecker JR (
Choudhury P, Srivastava S, Li Z, Ko K, Albaqumi M, Narayan K, Coetzee WA, Lemmon MA, Skolnik EY (
Clarke JD, Volko SM, Ledford H, Ausubel FM, Dong X (
Czechowski T, Stitt M, Altmann T, Udvardi MK, Scheible WR (
Devadas SK, Enyedi A, Raina R (
Devadas SK, Raina R (
Diaz J, ten Have A, van Kan JA (
Doerks T, Strauss M, Brendel M, Bork P (
Dong X (
Genger R, Jurkowski G, McDowell J, Bent AF (
Glazebrook J (
Greenberg JT (
Greenberg JT, Ausubel FM (
Greenberg JT, Silverman FP, Liang H (
Guzman P, Ecker JR (
Iqbal A, Yabuta Y, Takeda T, Nakano Y, Shigeoka S (
Jing HC, Sturre MJ, Hille J, Dijkwel PP (
Kangasjarvi J, Jaspers P, Kollist H (
Kieber JJ, Ecker JR (
Kieber JJ, Rothenberg M, Roman G, Feldmann KA, Ecker JR (
Kotchoni SO, Gachomo EW (
Kunkel BN, Brooks DM (
Laloi C, Apel K, Danon A (
Li J, Brader G, Palva ET (
Lim PO, Kim HJ, Nam HG (
Lorenzo O, Piqueras R, Sanchez-Serrano JJ, Solano R (
Lorenzo O, Solano R (
Lorenzo O, Urbe S, Clague MJ (
Lorrain S, Lin B, Auriac MC, Kroj T, Saindrenan P, Nicole M, Balagué C, Roby D (
Lorrain S, Vailleau F, Balagué C, Roby D (
Nandi A, Kachroo P, Fukushige H, Hildebrand DF, Klessig DF, Shah J (
O'Donnell PJ, Schmelz EA, Moussatche P, Lund ST, Jones JB, Klee HJ (
Overmyer K, Tuominen H, Kettunen R, Betz C, Langebartels C, Sandermann H, Kangasjärvi J (
Penninckx IAMA, Thomma BPHJ, Buchala A, Métraux J-P, Broekaert WF (
Pilloff RK, Devadas SK, Enyedi A, Raina R (
Reymond P, Farmer EE (
Roman G, Lubarsky B, Kieber JJ, Rothenberg M, Ecker JR (
Rusterucci C, Aviv DH, Holt BF III, Dangl JL, Parker JE (
Schenk PM, Kazan K, Wilson I, Anderson JP, Richmond T, Somerville SC, Manners JM (
Sisler EC, Serek M (
Solano R, Stepanova A, Chao Q, Ecker JR (
Staswick PE, Su W, Howell SH (
Thomma BP, Penninckx IA, Broekaert WF, Cammue BP (
Torres MA, Dangl JL, Jones JD (
Tuominen H, Overmyer K, Keinanen M, Kollist H, Kangasjarvi J (
van Doorn WG (
van Loon LC, Geraats BP, Linthorst HJ (
Van Loon LC, Pennings GGH (
Vogel J, Woeste KE, Theologis A, Kieber JJ (
Walbot V, Hoisington DA, Neuffer MG (
Wubben MJ II, Rodermel SR, Baum TJ (
Author notes
This work was supported by the French Ministry of National Education and Research (grant to O.B.).
Corresponding author; e-mail claudine.balague@toulouse.inra.fr.
The author responsible for distribution of materials integral to the findings presented in this article in accordance with the policy described in the Instructions for Authors (www.plantphysiol.org) is: Claudine Balagué (claudine.balague@toulouse.inra.fr).
The online version of this article contains Web-only data.





