ORIGINAL RESEARCH article
Tomato transcriptome and mutant analyses suggest a role for plant stress hormones in the interaction between fruit and Botrytis cinerea
- 1Department of Plant Sciences, University of California, Davis, Davis, CA, USA
- 2Department of Viticulture and Enology, University of California, Davis, Davis, CA, USA
Fruit–pathogen interactions are a valuable biological system to study the role of plant development in the transition from resistance to susceptibility. In general, unripe fruit are resistant to pathogen infection but become increasingly more susceptible as they ripen. During ripening, fruit undergo significant physiological and biochemical changes that are coordinated by complex regulatory and hormonal signaling networks. The interplay between multiple plant stress hormones in the interaction between plant vegetative tissues and microbial pathogens has been documented extensively, but the relevance of these hormones during infections of fruit is unclear. In this work, we analyzed a transcriptome study of tomato fruit infected with Botrytis cinerea in order to profile the expression of genes for the biosynthesis, modification and signal transduction of ethylene (ET), salicylic acid (SA), jasmonic acid (JA), and abscisic acid (ABA), hormones that may be not only involved in ripening, but also in fruit interactions with pathogens. The changes in relative expression of key genes during infection and assays of susceptibility of fruit with impaired synthesis or perception of these hormones were used to formulate hypotheses regarding the involvement of these regulators in the outcome of the tomato fruit–B. cinerea interaction.
Disease resistance or susceptibility of a plant depends not only on the specific plant–pathogen combination, but also on the developmental stage of the host tissues. The ripening process of fleshy fruit is an example of a developmental transition that coincides with increased susceptibility to pathogens. Ripening involves a complex network of regulatory and hormone-mediated pathways leading to significant changes in the physiological and biochemical properties of the fruit (Giovannoni, 2004). Among the ripening events, modifications in cell wall structure and composition, conversion of starch into simple sugars, changes in apoplastic pH and redox state, and decline in the concentration of antimicrobial metabolites contribute to susceptibility of fruit to pathogens (Prusky and Lichter, 2007; Cantu et al., 2008a,b). The enhanced susceptibility of ripe fruit to pathogens could be a default outcome of ripening or, alternatively, could be promoted by some, but not all, ripening processes (Cantu et al., 2009).
Fruit pathogens exhibit necrotrophic, biotrophic, or hemibiotrophic lifestyles (Prusky and Lichter, 2007; Cantu et al., 2008b), categories that reflect different infection strategies (Glazebrook, 2005). Necrotrophs, such as the ascomycete, Botrytis cinerea, cause necrosis by deploying hydrolytic enzymes (Van Kan, 2006), secreting toxins (Govrin et al., 2006; Dalmais et al., 2011) and/or hijacking the plant's enzymatic machinery (Cantu et al., 2009). Biotrophs depend on the integrity of plant host tissues and have developed strategies to deceive the host to obtain nutrients without inducing plant defenses or cell death (Perfect et al., 1999; Glazebrook, 2005). Hemibiotrophs are those pathogens that switch lifestyles at different developmental phases and/or in certain environmental conditions (Glazebrook, 2005; Kleemann et al., 2012). Therefore, the infection strategies of different pathogens challenge the competency of the plant host to respond and deploy effective defense mechanisms.
Tomato (Solanum lycopersicum) has served as a model organism to study fruit ripening (Giovannoni, 2004) and has emerged as an informative experimental system to characterize the molecular regulation of the ripening-related susceptibility to pathogens, in particular to necrotrophic fungi, such as B. cinerea (Powell et al., 2000; Flors et al., 2007; Cantu et al., 2008a, 2009). B. cinerea fails to develop in unripe (mature green, MG) tomato fruit, but as fruit start their ripening program and become ripe (red ripe, RR), concurrently they become more susceptible to infections, which lead to rapid breakdown of host tissues and extensive microbial colonization (Cantu et al., 2009).
The roles of the plant stress hormones, ethylene (ET), salicylic acid (SA), jasmonic acid (JA), and abscisic acid (ABA), in the control of plant developmental processes and the initiation of defense mechanisms against necrotrophic, biotrophic, or hemibiotrophic pathogens have been documented mostly for vegetative tissues (Doares et al., 1995b; Díaz et al., 2002; Wasternack, 2007; AbuQamar et al., 2008; Asselbergh et al., 2008; Bari and Jones, 2009; Pieterse et al., 2009; Cutler et al., 2010; López-Gresa et al., 2010; El Oirdi et al., 2011; Rivas-San Vicente and Plasencia, 2011; Nambeesan et al., 2012; Pieterse et al., 2012; Vandenbussche and Van Der Straeten, 2012). However, our understanding of how these hormones influence plant–pathogen interactions in fruit is still limited.
The gaseous hormone, ET, is involved in the control of terminal developmental programs, such as organ abscission, leaf and flower senescence, and fleshy fruit ripening (Patterson and Bleecker, 2004; Barry and Giovannoni, 2007; Klee and Giovannoni, 2011; Graham et al., 2012; Pech et al., 2012; Wang et al., 2013). ET also modulates plant resistance and susceptibility to pathogens. Thus, from one point of view, ET controls a variety of immune responses in conjunction with other signaling networks; but from another perspective, it promotes senescence or ripening, processes which facilitate infection by pathogens (Van Loon et al., 2006; Cantu et al., 2009; Van Der Ent and Pieterse, 2012).
JA influences flower development and may be involved in some ripening processes, depending on the plant species (Peña-Cortés et al., 2004). The best-known function of JA is to regulate plant immune responses against insects and pathogens, particularly necrotrophs (Glazebrook, 2005; Browse, 2009). JA may also play a role in resistance against abiotic stresses, including mechanical stress, salinity, and UV irradiation (Ballaré, 2011).
SA is a phenolic compound with hormonal features that is crucial for the establishment of basal defenses, effector-triggered immunity, and both local and systemic acquired resistance (Durrant and Dong, 2004; Vlot et al., 2009). SA is typically involved in the activation of plant defenses against biotrophs and hemibiotrophs, but it also appears to enhance susceptibility to necrotrophs by antagonizing the JA signaling pathway through the regulatory protein NPR1 and by inhibition of auxin signaling (Glazebrook, 2005; Beckers and Spoel, 2006; Koornneef et al., 2008; Spoel and Dong, 2008).
ABA regulates many aspects of plant development, including seed dormancy and germination, and plays a significant role in tolerance to abiotic stress (Fujita et al., 2006; Wasilewska et al., 2008). ABA also can influence the outcome of plant–microbe interactions. Negative and positive roles have been described for this hormone depending on the pathosystem, developmental stage of the host, and/or the environmental conditions in which the plant–pathogen interaction occurs (Mauch-Mani and Mauch, 2005; Ton et al., 2009; Robert-Seilaniantz et al., 2011). In general, ABA suppresses plant resistance mechanisms by antagonizing SA- and JA/ET-dependent immune responses (Anderson et al., 2004; Mohr and Cahill, 2007; Sánchez-Vallet et al., 2012), thereby promoting susceptibility (Spoel and Dong, 2008). In addition, negative regulation involving systemic acquired resistance activation and ABA synthesis has been documented (Yasuda et al., 2008).
Genome-wide transcriptional profiling studies have been valuable in the study of hormonal signaling during plant–pathogen interactions (Glazebrook, 2005) because they enable researchers to monitor the activation or suppression of multiple pathways simultaneously. We used hybridization-based microarray data obtained from tomato fruit infected with B. cinerea to characterize the patterns of expression of genes involved in hormone biosynthesis and signaling to infer the potential role of stress hormones in fruit–pathogen interactions. The expression profiles of important genes were validated and extended by qRT-PCR using independent biological material at different stages of infection. We integrated the gene expression results with susceptibility phenotypes of fruit compromised in hormone synthesis and perception, in order to provide a model describing how ET, SA, JA and ABA influence the susceptibility of tomato fruit to B. cinerea.
Materials and Methods
Transcriptome Analysis Hormone-Related Genes
Genes that have been previously described as involved in the synthesis, modification, signaling, and response of ET, SA, JA, and ABA were selected based on their functional annotation from the Arabidopsis Hormone Database (AHD) 2.0 (http://ahd.cbi.pku.edu.cn) (Jiang et al., 2011). The amino acid sequences of the 414 selected genes were retrieved from the Arabidopsis TAIR10 collection (http://arabidopsis.org) and used as queries in a BLASTP search (e-value ≤ 1e−3, low complexity filter “on”) against all of the predicted proteins in the tomato (Solanum lycopersicum) genome sequence (ITA2.3 release; http://solgenomics.net). A total of 326 sequences with identity greater than 60% and with alignment coverage more than 70% of the query length were considered putative tomato homologs of the Arabidopsis hormone-related proteins. In addition, the sequences of 19 known tomato protein gene sequences related to ET synthesis and signaling pathways were added to the dataset. Corresponding unigene sequences and Affymetrix array chip probes were then obtained, respectively, from GenBank (http://ncbi.nlm.nih.gov/genbank/) and Affymetrix (http://www.affymetrix.com/analysis/) to extract the normalized hybridization values from the microarray analysis of Botrytis cinerea-infected tomato fruit (Cantu et al., 2009; http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE14637) at the MG and RR stages and at 1 day post-inoculation (dpi). The resulting dataset (141 tomato genes) was used to identify significant (P ≤ 0.05) fold changes in ET, SA, JA, and ABA-related genes that are in common or uniquely regulated by infection of MG and RR fruit by B. cinerea and by ripening of healthy fruit.
The NahG tomato line (cv. Moneymaker) expressing the Pseudomonas putida SA hydroxylase gene (NahG) under regulation of the constitutive promoter 35S were developed by Brading et al. (2000) and kindly provided by Dr. J. Jones (John Innes Centre, Norwich, UK). The sitiens tomato mutant and its wild-type background cv. Moneymaker were contributed by the Tomato Genetics Research Center (TGRC; UC Davis, CA). Tomato (Solanum lycopersicum) cv. Ailsa Craig (AC), the NahG transgenic line, the sitiens mutant line, and their wild-type non-transgenic control line (cv. Moneymaker) were grown in greenhouse and field conditions during 2008, 2009, and 2012 in Davis, California. Fruit were tagged at 3 days post-anthesis (dpa) and harvested at 31 dpa for MG fruit and at 42 dpa for RR fruit. Ripening stages of the fruit were confirmed by the color, size, and texture.
Fungal Culture and Fruit Inoculation
B. cinerea (B05.10) was provided by Dr. J. A. L. van Kan (Department of Phytopathology, Wageningen University). Conidia, collected from sporulating cultures grown on 1% potato dextrose agar (Difco), were counted and diluted to 500 conidia μL−1 for inoculations. Fruit were disinfected and inoculated as in Cantu et al. (2008a). Briefly, on the day of harvest fruit were surface sterilized by submersion in a solution of 10% (v/v) bleach followed by three deionized water rinses. At the time of inoculation fruit were wounded at seven sites to a depth of 2 mm and a diameter of 1 mm. Six out of the seven sites were inoculated with 10 μL of a water suspension containing 5000 conidia of B. cinerea and the seventh site was mock-inoculated with 10 μL of sterile water (wounded control). Healthy fruit were not wounded or inoculated. All fruit samples were incubated at 20°C in high humidity. Susceptibility was determined daily for 3 dpi as disease incidence (percentage inoculation sites showing symptoms of tissue maceration or soft rot). The evaluation of susceptibility was repeated with three separate harvests of fruit using 10–15 fruits per experiment. The significance of the susceptibility data was analyzed by ANOVA followed by Tukey's post-hoc test using R (R Foundation for Statistical Computing). For percentage values, statistical analysis was carried out after angular transformation.
Ethylene and 1-MCP Treatments
Fruit were placed in air-tight chambers containing either 10 μL/L ET, low (12 nL/L), or high (450 nL/L) levels of 1-methylcyclopropene (1-MCP; SmartFresh©, kindly contributed by AgroFresh Inc.) for 18 h at 20°C. As controls, fruit at the same stage were placed in an identical closed chamber without ET or 1-MCP. Immediately after treatment, fruit were divided into three replication groups and inoculated with B. cinerea and assessed for disease incidence as described above.
To confirm the gene expression changes identified in the re-analysis of the microarray hybridization data, additional MG and RR fruit (cv. AC) were inoculated as above with B. cinerea or kept uninoculated (i.e., healthy). Fruit pericarp and epidermal tissues were collected after 1 and 3 days post-inoculation (dpi) and high-quality RNA was isolated. Five biological replicates were produced per sample and each replicate consisted of independent pools of 3–5 fruits. Two grams of tissue per sample were ground in liquid nitrogen and 10 mL of the RNA extraction buffer (CTAB 2% v/v, PVP 2% v/v, 100 mM Tris pH 8, 2 M NaCl, 25 mM EDTA, 0.5 g/L spermidine, 10 mM β-mercaptoethanol) were added. The samples were immediately incubated for 5 min at 65°C. Two extractions with one equal volume of chloroform:isoamyl alchohol (24:1, v/v) followed by centrifugation at 4000 rpm for 45 min at 4°C were performed. The supernatant was recovered and 1/10 volume of 1M KOAc was added followed by centrifugation at 4000 rpm for 20 min at 4°C. The supernatant was collected and 1/4 volume of 10 M LiCl was added. Samples were incubated overnight at −20°C and then centrifuged at 4000 rpm for 45 min at 4°C. The supernatant was discarded and the RNA pellet was further purified using the RNeasy Plant Mini Kit (Qiagen®). DNAse treatment (RNase-Free DNase Set, Qiagen®) was done in column during the purification step. The RNA was resuspended in 35 μL of nuclease-free water. The RNA concentration and purity were measured using NanoDrop 2000c Spectrophotometer (Thermo Scientific, Inc.). The RNA integrity was checked by agarose gel electrophoresis.
cDNA was synthesized from the prepared RNA using M-MLV Reverse Transcriptase (Promega). qRT-PCR was performed on a StepOnePlus PCR System using Fast SYBR Green Master Mix (Applied Biosystems). All qRT-PCR reactions were performed with the following cycling conditions: 95°C for 10 min, followed by 40 cycles of 95°C for 3 s and 60°C for 30 s. Tomato actin (Solyc03g078400) was used as reference gene and process in parallel with the genes of interest. Primer efficiencies were calculated using 4-fold cDNA dilutions (1:1, 1:4, 1:16, 1:64, and 1:256) in duplicate as well as checking for amplification in a negative control without DNA. The efficiencies of the primer sets used in this study were all above 90% (Table S3). Specificity of the primers was checked by analyzing dissociation curves ranging from 60 to 95°C. The 2−ΔΔCT method (Livak and Schmittgen, 2001) was used to normalize and calibrate transcript values relative to the endogenous constitutive gene (actin, Solyc03g078400) control. Within analyses, the same calibrator was used for all genes so the scales of their linearized values are comparable. Data presented is from 3 to 5 biological replicates per treatment and per stage.
Results and Discussion
Transcriptomic Analysis and Validation of Hormonal-Related Genes During Fruit Infection by B. Cinerea
Although the complete sequence of the tomato genome is available (The Tomato Genome Consortium, 2012), an integration of genome annotations with functional information is required to assign biological importance to gene sequences and generate a framework for the study of developmental processes and signaling networks. The study of stress hormonal pathways in tomato fruit has focused mainly on the characterization of ET-related genes involved in the initiation of ripening (Barry and Giovannoni, 2007; Klee and Giovannoni, 2011; Pech et al., 2012). The roles of the stress hormones, SA, JA, and ABA, for the outcomes of fruit infections have not been extensively investigated.
We previously used microarray hybridization technology to characterize the expression changes of ripening-related genes in relation to the increased susceptibility to B. cinerea of ripe fruit. Using RNA from tomato fruit at two ripening stages, MG and RR at 1 dpi with B. cinerea, we profiled the expression of several cell wall modifying genes (e.g., polygalacturonase, expansin, and glucanases) and few hormone-related genes (e.g., ACS2, ACO5, AOS) (Cantu et al., 2009). The shortage of functional annotations for genes represented on the microarray has limited the identification of genes involved in hormonal pathways related to stress and pathogen responses.
Here we report (1) the identification of a set of 345 hormone-related tomato genes, which includes 19 known ET-related genes and 326 tomato genes that show significant homology to Arabidopsis genes involved in ET, SA, JA, and ABA pathways; (2) the re-annotation of the hormone-related genes on the Affymetrix Tomato Chip, and (3) the transcriptional changes of these hormonal-related genes in response to B. cinerea using published microarray results (Cantu et al., 2009).
Hormone-related Arabidopsis gene sequences were retrieved from the AHD 2.0 (Jiang et al., 2011) and BLASTP searches were used to identify their homologous copies in the tomato genome (minimum e-value < 1e−3; alignment coverage >70% of the query length; identity >60%). We selected the AHD 2.0 because it is currently the most comprehensive and up-to-date database of hormone-related genes; it includes 1318 gene accessions for eight different plant hormones, which had been extracted from 906 scientific papers published before August 2010. From this database, we identified 128 genes related to ET, 72 genes related to SA, 55 genes related to JA, and 159 genes related to ABA pathways (Jiang et al., 2011).
Among the homologous tomato genes identified, 141 genes (Table S1) were found to be expressed in tomato fruit based on the microarray data. Of these 141 genes, we focused on those with significant changes in expression (P ≤ 0.05) that (1) were in common during infection of tomato fruit by B. cinerea regardless of the ripening stage, (2) that were responses to B. cinerea but are specific to the ripening stage and phenotype of the fruit (i.e., MG: resistant and RR: susceptible), and (3) that were common in response to infection and as a consequence of ripening. As result, we identified 65 stress hormone-related genes that showed differential expression in response to B. cinerea (Figure 1).
Figure 1. Stress hormone-related genes identified in the microarray analysis that show expression changes as consequence of fruit infection or ripening. Genes involved in in ethylene (ET), salicylic acid (SA), jasmonic acid (JA), abscisic acid (ABA), and multiple (M) hormonal pathways are clustered according to similarities in their expression pattern calculated by Euclidean distance. The colors in the heatmap represent the intensity of the log2-fold expression changes. Non-significant comparisons (P > 0.05) are marked in the figure as n.s.
Relative expression changes of 20 hormone-related genes (8 ET genes, 3 SA genes, 2 JA genes, 6 ABA genes, and 1 gene related to multiple hormones) were measured by qRT-PCR using independent preparations of RNA from B. cinerea-infected (1 dpi) and equivalent healthy tomato fruit at MG and RR stages, in order to validate the results from the microarray analysis (Figure 3; Table S2). Additionally, gene expression was measured at 3dpi to determine whether the up- or down-regulation of the expression of these genes is maintained or modified as infection progresses (Figure 3; Table S2).
For the 20 genes analyzed, 88% of all expression comparisons, i.e., infection of MG fruit (MG infected vs. healthy), infection of RR fruit (RR infected vs. healthy), and ripening (RR healthy vs. MG healthy) were observed in both the microarray and in the qRT-PCR data. However, by qRT-PCR only 59% of the gene expression changes were significant (P ≤ 0.05), mostly because of inter-sample variability (Table S2); in fact, the qRT-PCR coefficient of variation (CV; 20.88%) was almost three times higher than the microarray CV (7.06%). Even with the high CV of the qRT-PCR experiments, there was a strong correlation between the microarray and the qRT-PCR data (Pearson coefficient R = 0.76, P = 2.04e−7) (Figure 2).
Figure 2. Scatter plot shows expression changes (log2-fold) measured by microarray hybridizations and by qRT-PCR analysis of selected hormone-related genes. Results are plotted for genes that show significant (P ≤ 0.05) up- or down-regulation in tomato fruit after B. cinerea infection and ripening. A linear trendline is shown.
In the following sections, the expression profiles of genes involved in ET, JA, SA, and ABA biosynthesis and signaling are presented and discussed in light of the susceptibility to B. cinerea of fruit that are either hormone-insensitive or hormone-deficient.
The expression of 50% of the ET biosynthetic genes identified in fruit was altered as consequence of infection with B. cinerea (Figure 1; Table S1). Three patterns of transcriptional reprogramming were identified in the microarray analysis: (1) increased expression of S-adenosyl-L-methionine (SAM) synthetase genes, LeSAMS1, and LeSAMS3, which decline during ripening of healthy fruit (Van De Poel et al., 2012a); (2) up-regulation of two members of the 1-aminocyclopropane-1-carboxylic acid (ACC) synthase (ACS) gene family; and (3) down-regulation of an ACC oxidase (ACO) gene in B. cinerea infected MG fruit.
Increases in LeSAMS1 and LeSAMS3 expression have been detected in tomato vegetative tissues under high salinity conditions and following ABA treatment, suggesting a link between SAM and stress tolerance (Espartero et al., 1994). Besides being a substrate for ET synthesis, SAM is also utilized for the production of polyamines (PAs) and is the primary methyl-donor for modification of essential macromolecules (Van De Poel et al., 2012b). Both ET and PAs, and possibly the relative concentrations of each, mediate biotic and abiotic stress responses in fruit and vegetative tissues (Bitrián et al., 2012; Nambeesan et al., 2012). PAs have been shown to reduce the rate of fruit ripening while ET accelerates it (Mehta et al., 2002; Nambeesan et al., 2010). Therefore, enhanced SAM production and changes in the relative synthesis or abundance of ET/PA may be associated with resistance to pathogen infection, particularly in MG fruit for which the up-regulation of LeSAMS3 after B. cinerea inoculation was validated by qRT-PCR; expression increased further at a later time during the infection process (i.e., 3 dpi) (Figure 3).
Figure 3. Changes in the relative expression of representative hormone-related genes after infection of fruit by Botrytis cinerea and during ripening. Changes (log2-fold) in expression of genes in ethylene (ET), salicylic acid (SA), jasmonic acid (JA), abscisic acid (ABA), and multiple (M) hormonal pathways caused by Botrytis infection in fruit at two ripening stages (MG I/H and RR I/H) or by ripening of healthy fruit (RR H/ MG H) were determined by qRT-PCR at two time points (1 and 3 days post-infection, dpi). Asterisks indicate significant fold changes (*P ≤ 0.05).
Tomato ACS and ACO isoforms are differentially expressed depending on the developmental process; some are specifically associated with ripening (e.g., LeACS1a, LeACS2, LeACS4, LeACO1, LeACO3, and LeACO4) while others act preferentially in vegetative tissues and immature fruit (Cara and Giovannoni, 2008; Yokotani et al., 2009; Klee and Giovannoni, 2011; Pech et al., 2012). These expression patterns relate to different systems of ET production, described later. From the microarray analysis, premature increased expression of two ACS genes involved in the tomato ripening process, LeACS1a and LeACS2, occurs in B. cinerea-infected MG fruit, which might suggest that pathogen infections activate the synthesis of ET, thereby accelerating the onset of the ripening process and subsequently inducing susceptibility as proposed by Cantu et al. (2009). On the other hand, down-regulation of the ET biosynthetic gene LeACO5 only in MG fruit as consequence of infection (Figures 1, 3; Tables S1, S2) can be interpreted as a counteracting effort by the plant to control the pathogen-induced increase in ET production.
Infection of fruit affects the expression of 40% of the ET signaling components that are transcribed in fruit (Figure 1; Table S1). Expression of the ET receptors LeETR4, LeETR5 and NR decrease after pathogen inoculation at both fruit ripening stages (Figure 1), and the down-regulation was validated in RR fruit at 1 and 3 days after B. cinerea infection for both LeETR5 and NR genes (Figure 3; Table S2). ET receptors are negative regulators of the signaling pathway (Hua and Meyerowitz, 1998), and both their de-phosphorylation and degradation are induced upon ET binding, thereby activating responses to the hormone (Kevany et al., 2007; Kamiyoshihara et al., 2012). However, during fruit ripening, increases in the transcript levels of these receptors do not correlate with protein accumulation or receptor activity (Kevany et al., 2007). Therefore, the impact on ET perception caused by the down-regulation of the expression of the ET receptors observed during infection of fruit should be evaluated further by examining receptor protein levels and phosphorylation state. For example, the reduction in ET sensitivity caused by mutation in the NR receptor (i.e., constitutive receptor activation) was shown to enhance resistance of tomato leaves to several pathogens (Lund et al., 1998) and to reduce susceptibility of tomato fruit to B. cinerea infection (Cantu et al., 2009).
The expression of the primary ET response factors LeEIL3 and LeEIL4 is suppressed as a consequence of exposure of tomato fruit to B. cinerea and up-regulated during fruit ripening (Figure 1; Table S1). The down-regulation after fruit infection was validated for LeEIL4 (Figure 3), while for LeEIL3 only the suppression in infected MG fruit was statistically significant (Table S2). The LeEIL1-4 genes encode redundant transcription factors that bind to secondary response elements in order to activate downstream ET responses (Tieman et al., 2001). In Arabidopsis leaves infected with the bacterial pathogen Pseudomonas syringae, the ET response factors EIN3 and EIL1 appear to negatively regulate plant immune responses by disrupting the pathogen-induced accumulation of SA (Chen et al., 2009). Thus, the decrease in LeEIL4 and LeEIL43 expression during fruit infection may represent a plant strategy to modulate the intensity of the ET response to B. cinerea, and/or to avoid the repression of SA biosynthesis.
The expression of other ET signaling component genes (with the exception of LeERF4) also is enhanced during ripening, but specific expression changes after infection depend on the ripening stage of the fruit (Figure 1; Tables S1, S2). For example, the protein kinase LeCTR4 is up-regulated in infected RR fruit, and LeERF1 expression increased in infected MG fruit but is reduced in infected RR fruit. Even though LeERF1 has been reported to induce fruit ripening and softening (Li et al., 2007), its over-expression also is associated with resistance of RR tomato fruit to the necrotroph, Rhizopus nigricans (Pan et al., 2013). In addition, ERF1 serves as an intersection point between ET and JA response pathways triggering plant defenses, particularly against necrotrophs (Lorenzo and Solano, 2005; Pieterse et al., 2012). By qRT-PCR no change in expression of LeERF1 was detected in infected RR fruit; therefore, further analyses using additional biological material, including infections of fruit with other pathogens, are necessary to reliably assess the regulation of ERF1 expression in responses to infections.
Experimental observations have suggested that low concentrations of ET are required to induce defense responses in fruit prior to pathogen infection (Ku et al., 1999; Akagi et al., 2011), while high and/or persistent ET levels have been related to increased pathogen susceptibility (Marcos et al., 2005). ET production in fruit is considered to be under the control of two systems, designated Systems 1 and 2. The role of each system is specific to the plant species (climacteric vs. non-climacteric) and developmental stage (Pech et al., 2012). System 1 is characterized by low levels of ET synthesis due to auto-inhibition and is present throughout early fruit development and during ripening of non-climacteric fruit (e.g., strawberry, grape, citrus, and pepper). System 2 refers to the autocatalytic synthesis of ET that is active at the onset of ripening in climacteric fruit (e.g., tomato, apple, peach, and avocado) and that leads to high levels of accumulated hormone (Yokotani et al., 2009; Klee and Giovannoni, 2011; Pech et al., 2012). It is possible that ET is generated in unripe fruit after pathogen recognition under System 1 and that this pathogen-induced concentration of ET specifically activates the expression of defense genes and/or other resistance pathways, but once the ET levels surpass a threshold, induction of System 2 and the associated climacteric ripening, or the activation of senescence/ripening pathways in non-climacteric fruit, may lead to enhanced susceptibility regardless of the defense mechanisms activated. Therefore, ET can act as a promoter of susceptibility or resistance depending on its levels in the tissue and on the developmental stage of the host; in the case of fruit, this corresponds to the point at which the tissue is competent to respond to different ET concentrations.
The hypothesis that ET responses during tomato fruit infection depend on the concentration and perception of this hormone is supported by the results shown in Figure 4. In this experiment, tomato fruit at MG and RR stages were pre-treated with either high levels of ET (10 μL/L), or low (12 nL/L) or high (450 nL/L) levels of the ET inhibitor, 1-MCP, prior to inoculation with B. cinerea. 1-MCP, which disrupts ET responses by essentially irreversibly binding to the plant cell ET receptors and maintaining their phosphorylation state (Kamiyoshihara et al., 2012), has been widely used to study ripening and disease development in fruit (Blankenship and Dole, 2003; Watkins, 2006; Cantu et al., 2009; Zhang et al., 2009b). Pre-treatment of fruit with ET had no effect on infections of MG fruit by B. cinerea; these fruit were about to enter the climacteric phase of ripening and were capable of perceiving the hormone. Pre-treatment with ET also did not affect infections of RR fruit, which had already established ET-induced ripening processes. Pre-treatment with low levels of 1-MCP initially reduced infections in both MG and RR fruit; however, resistance was maintained only in MG fruit in which the climacteric increase of ET was delayed. Pre-treatment with high levels of 1-MCP prematurely induced susceptibility in MG fruit but did not influence RR fruit infections. These observations suggest that low concentrations of 1-MCP may block some but not all ET receptors probably because of limited amounts of the inhibitor and continuing de novo generation of receptors. Thus, ET might be perceived in an appropriate concentration to promote resistance in the presence of low 1-MCP levels. In contrast, high 1-MCP levels may block ET perception longer and, thereby, hamper resistance response mechanisms that rely on ET perception. Previous studies also confirmed that application of high concentrations of 1-MCP (>450 nL/L) prior to inoculation with other pathogens (e.g., Colletotrichum spp., Dothiorella spp., Penicillium spp.) often induces rapid decomposition of climacteric and non-climacteric fruit, while application of low concentrations (5–100 nL/L) tends to reduce or stop infections (Ku et al., 1999; Porat et al., 1999; Hofman et al., 2001; Bower et al., 2003; Janisiewicz et al., 2003; Adkins et al., 2005; Marcos et al., 2005).
Figure 4. Effect of ethylene (ET) and the ET-perception inhibitor 1-MCP on tomato fruit susceptibility to Botrytis cinerea. Disease incidence (% of inoculation sites with soft rot symptoms at 1, 2, and 3 days post-inoculation, dpi) for infections of MG (31 days post-anthesis, dpa) and RR (42 dpa) wild-type tomato fruit (cv. Ailsa Craig). Immediately prior to inoculation and within 2 h of harvest, fruit were treated for 18 h with air, 10 μL/L ET and 12 nL/L 1-MCP or 450 nL/L 1-MCP. Asterisks indicate significant differences within treatments at a given time point and developmental stage (*P ≤ 0.05, ***P ≤ 0.001).
ET-mediated defenses are generally effective for controlling biotrophs, but are frequently inadequate against necrotrophs (Van Loon et al., 2006; Cantu et al., 2009; Van Der Ent and Pieterse, 2012). Certain necrotrophic pathogens, such as Penicillium digitatum and B. cinerea, are capable of producing ET, possibly as a virulence factor (Achilea et al., 1985; Cristescu et al., 2002; Zhu et al., 2012) and/or to induce ET synthesis in the host, thus promoting premature senescence or ripening (Marcos et al., 2005; Swartzberg et al., 2008; Cantu et al., 2009). However, it is not possible to distinguish experimentally in infected tissues between the ET synthesized by the pathogen or by the host. While it is known that ET is synthesized by B. cinerea using the 2-keto-4-methylthiobutyric acid pathway (Cristescu et al., 2002) rather than the ACC pathway used in plants, the genes responsible for ET biosynthesis by B. cinerea have not been identified so inferences about total ET abundance based on biosynthetic gene expression of both organisms cannot be made yet. The dissimilar roles of ET in necrotrophic and biotrophic infections may relate to the model of ET concentration-dependent responses of plant tissues. Low levels of ET may effectively control both biotrophs and necrotrophs, but higher ET levels may favor only necrotrophic infections. Whether a pathogen is capable of perceiving ET and responding to the hormone during its development or when interacting with the host is also relevant in infections and should be explored further.
Salicylic Acid (SA)
Two routes of SA biosynthesis had been described in plants, the isochorismate (IC) pathway and the phenylalanine ammonia-lyase (PAL) pathway, but neither pathway has been completely resolved (Dempsey et al., 2011). SA synthesis in response to pathogen infection and abiotic stress is apparently preferentially by the IC pathway (Wildermuth et al., 2001; Garcion et al., 2008; Tsuda et al., 2008), while the PAL pathway may have a minor contribution in local resistance (Ferrari et al., 2003). No significant changes in gene expression in either SA biosynthesis pathway were detected in the microarray analysis. Only the expression of WES1, a SA-modification enzyme, increased as consequence of ripening and infection, as shown in the microarray and validation studies (Figure 1; Table S1). Further up-regulation of WES1 was also observed later in infection (3 dpi) in both MG and RR fruit (Figure 3). WES1 catalyzes SA–Asp conjugation (Zhang et al., 2007). The SA–Asp conjugate is considered to be an inactive form of SA and a target for catabolism (Dempsey et al., 2011). Thus, this result may suggest that SA inactivation occurs during fruit ripening and is a generalized response of tomato fruit to pathogen challenge regardless of the ripening stage. Moreover, SA can influence the levels of other hormones, including ET (Ding and Yi Wang, 2003), and in fruit it could interfere with the regulation of ripening. Further characterization of the SA synthesis pathways and studies of the hormone's production/modification during fruit development are needed to understand fully its impacts on fruit–pathogen interactions.
SA signaling occurs via NPR1-dependent and -independent pathways (Vlot et al., 2009). NPR1 is a transcriptional co-regulator of SA responses and has been recently identified as a receptor of SA in plants (Wu et al., 2012). In the NPR1-dependent pathway, NPR1 monomers interact with members of the TGA family of bZIP transcription factors to regulate expression of SA-responsive genes (Kesarwani et al., 2007; Vlot et al., 2009). TGA factors can be activators or repressors depending on the presence of SA and their ability to form specific protein complexes (Pontier et al., 2001; Zhang et al., 2003). From the microarray and qRT-PCR results, the down-regulation of a tomato homolog of TGA6 in MG fruit (1 dpi) and its up-regulation in RR fruit (at 1 and 3 dpi) suggest that this gene may serve as a control point to modulate SA signaling during fruit–pathogen interactions (Figures 1, 3; Tables S1, S2). Tomato TGAs have been previously implicated in resistance against biotrophs (Ekengren et al., 2003) and can be recruited by necrotrophic pathogens to induce susceptibility (Rahman et al., 2012).
Independently from NPR1, the protein kinases MAPK3 and MAPK6 have been shown to be important in systemic acquired resistance and priming for resistance (Menke et al., 2004; Beckers et al., 2009; Galletti et al., 2011). Pre-treatment with low concentration of SA prior to pathogen encounters induces the accumulation of inactive MAPK3 and MAPK6 in vegetative tissues and once an infection occurs, these kinases are rapidly activated to enhance the expression of defense genes (Beckers et al., 2009). The phosphatases, PTP1 and MKP1, inactivate both MAPK3 and MAPK6 and therefore suppress the downstream SA signaling pathway (Bartels et al., 2009). In infected fruit, a significant decrease in expression of a PTP1 homolog is observed only in resistant (i.e., MG) fruit, which may lead to the activation of the MAPKs. In particular, a tomato homolog of MAPK6 (i.e., MAPK6_b) appears to be significantly up-regulated in MG fruit after B. cinerea inoculation (1 dpi) (Figures 1, 3; Tables S1, S2). These results indicate that SA responses via the MAPK pathway may be distinct from those mediated by NPR1 and that these responses may be necessary for both basal and induced defenses in MG fruit.
The susceptibility of the NahG tomato line, which does not accumulate SA (Brading et al., 2000), provides additional support for the hypothesis that some SA responses can contribute to resistance in fruit (Figure 5A). When we inoculated NahG fruit with B. cinerea conidia, the fruit at the MG stage were significantly more susceptible to B. cinerea infection than their wild-type counterparts and did not generate the localized necrotic response surrounding the inoculation site that is common in resistant unripe fruit [i.e., a lignified and suberized layer of necrotized cells; Figure 5A; (Cantu et al., 2009)]. The localized necrotic response in MG fruit is associated with an oxidative burst that is visible within 18 h after pathogen inoculation (Cantu et al., 2009), which could be potentiated by SA as part of a positive feedback loop between this hormone and reactive oxygen species (Overmyer et al., 2003; Vlot et al., 2009). On the other hand, RR fruit from NahG and wild-type plants were equally susceptible to B. cinerea and no necrotic response was evident with either genotype (data not shown). These results suggest that unripe MG fruit are capable of promoting SA-mediated responses, possibly independently from those influenced by NPR1 (e.g., MAPK-related), and thereby, may prime fruit for resistance without favoring susceptibility.
Figure 5. Susceptibility of NahG and sitiens tomato fruit to Botrytis cinerea. (A) Disease incidence (% of inoculation sites with soft rot symptoms at 1, 2, and 3 days post-inoculation, dpi) of NahG MG stage fruit (31 days post-anthesis, dpa) and sitiens RR stage fruit (42 dpa) compared to the isogenic wild-type (WT) cultivar Moneymaker. Asterisks indicate significant differences between genotypes at a given time point and developmental stage (***P ≤ 0.001). (B) Representative-inoculated fruit (3 dpi) for each genotype. Insets in all frames show a magnification of an inoculation site, viewed from above the fruit surface (3 dpi). WT fruit at MG stage and sitiens fruit at RR stage present a dark necrotic ring that limits the disease symptoms, whereas MG NahG fruit or RR WT fruit do not display this inoculation site-localized necrotic zone.
Jasmonic Acid (JA)
The increase in expression of JA biosynthetic and the subsequent accumulation of JA occurs locally as a consequence of pathogen, insect or physical damage to plant tissues (Cheong et al., 2002; Wasternack, 2007; Browse, 2009). Up-regulation of three tomato homologs encoding JA biosynthetic enzymes, allene oxide synthase (AOS), 12-oxo-cis-10,15-phytodienoic acid (OPDA) reductase 3 (OPR3), and 3-oxo-2-(cis-2'-pentenyl)-cyclopentane-1-octanoic acid (OPC)-8:CoA ligase (OPCL1) was observed during infections of MG and RR fruit (Figure 1; Table S1). The expression of the OPR3 homolog was confirmed in B. cinerea-infected fruit after 1 and 3 dpi (Figure 3; Table S2). In addition, up-regulation of a JAR1 homolog is detected in RR fruit at 1 dpi (Figures 1, 3; Tables S1, S2), but at 3 dpi its expression is down-regulated in both MG and RR tissues (Figure 3; Table S2). JAR1 is a GH3 acyl-adenylase that conjugates isoleucine to JA, activating the hormone (Staswick and Tiryaki, 2004; Thines et al., 2007) and it is required to activate JA-related responses of Arabidopsis leaves against necrotrophic infection (Staswick et al., 1998).
In the microarray data, transcriptional changes in response to B. cinerea are only evident for homologs of two downstream JA-responsive factors (MYB57 and TTG1_a) and a member of the SCFCOI1 complex (CUL1). Transcriptional reprogramming of important JA-signaling components (e.g., COI1, MYC2) was not evident during tomato fruit infection or during ripening (Figure 1; Table S1), which may indicate that activation of JA-related defenses in fruit occurs via other signaling pathways. In contrast, when B. cinerea infects petunia flowers it was been reported that expression of COI1 is activated in the absence of ET signaling (Wang et al., 2013), which indicates that JA signaling pathways could be differentially activated as consequence of fungal infection depending on the plant tissue and the presence/absence of endogenous ET levels. Both JA and ET synergistically activate the expression of a large set of defense genes (Thomma et al., 2001; Glazebrook, 2005; Lorenzo and Solano, 2005) through the transcription factors, ERF1 and ORA59 (Lorenzo and Solano, 2005; Pré et al., 2008). These shared JA- and ET-regulated responses are preferentially triggered when ET is present, while responses unique to JA are induced mostly in the absence of ET (Lorenzo et al., 2004; Pieterse et al., 2009).
SA and JA signaling pathways are generally considered antagonistic (Beckers and Spoel, 2006; Koornneef et al., 2008; Spoel and Dong, 2008; Pieterse et al., 2009, 2012). The antagonism is dependent on NPR1 and influenced by the hormone concentration and the timing of the SA/JA signal initiation (Mur et al., 2006; Koornneef et al., 2008; Leon-Reyes et al., 2010). This interplay between SA and JA might reduce fitness costs from the unnecessary deployment of defenses and could serve as a regulatory mechanism allowing plants to adjust their defense strategies in response to the pathogen's lifestyle (Pieterse et al., 2009; Van Der Ent and Pieterse, 2012). However, some pathogens can exploit the SA/JA antagonism for their own benefit (Alkan et al., 2011; El Oirdi et al., 2011); for example, B. cinerea produces an elicitor of SA responses through the NPR1-dependent pathway, which leads to the inactivation of two JA-response genes, Proteinase I and II, that are required for resistance against necrotrophs (El Oirdi et al., 2011).
ET can counteract the negative effects of NPR1 on JA responses, but it also enhances the NPR1-dependent expression of SA defense genes (De Vos et al., 2006; Spoel et al., 2007; Leon-Reyes et al., 2009). Leon-Reyes et al. (2010) proposed that the concurrent activation of ET and JA pathways promotes plant insensitivity to subsequent SA-mediated suppression of JA-dependent defenses, which then favors effective resistance against pathogens of different lifestyles. Hence, localized synthesis and perception of JA, ET, and SA at the appropriate relative concentration and timing appear to be required for plant resistance. During infections of fruit, ET, SA, and JA networks might interact to stimulate defenses. Nonetheless, accumulation of susceptibility factors as a consequence of ET-triggered senescence/ripening and the antagonism between SA and JA responses may represent opposing influences in the fruit–pathogen interaction and, thus, lead to susceptibility.
Abscisic Acid (ABA)
Increased expression of the tomato 9-cis-epoxycarotenoid dioxygenase 1 (LeNCED1), a key ABA biosynthetic gene, occurs during early infection (1 dpi) of susceptible (RR) fruit (Figures 1, 3; Tables S1, S2), which suggests a link between ABA synthesis and fruit susceptibility. Several plant pathogens, including B. cinerea, generate ABA during infection or use effectors to induce its production by the host, facilitating senescence/ripening and subsequent colonization of the ripened tissue (Siewers et al., 2004, 2006; De Torres-Zabala et al., 2007, 2009).
ABA has been involved in fruit ripening of climacteric and non-climacteric fruit (Zhang et al., 2009a; Koyama et al., 2010; Jia et al., 2011; Soto et al., 2013). Exogenous treatments of ABA induce the expression of the ripening-associated ET biosynthetic genes LeACS2, LeACS4, and LeACO1, thereby, triggering ET production and ripening (Zhang et al., 2009a). In tomato fruit, expression of the 9-cis-epoxycarotenoid dioxygenase 1 (LeNCED1) increases at the onset of ripening prior to the ET climacteric rise (Zhang et al., 2009a). A slight induction of LeNCED1 was detected in infected MG fruit (1 and 3 dpi), which could have been prematurely induced to initiate climacteric ripening; however, a significant decrease in expression occurs at the late stage of ripening (Figure 3; Table S2). The development and analysis of a genetic knock-out mutant line in LeNCED1 will be instrumental to understand the impact of ABA synthesis during the increase in ripe fruit susceptibility.
The expression of FLACCA, a tomato molybdenum cofactor synthase that is involved in ABA biosynthesis, increases as consequence of ripening, but it is reduced in response to the B. cinerea infection (Figure 1; Table S1). These observations indicate that the plant may reduce the expression of FLACCA in an effort to contain the rise in ABA production caused by the pathogen colonization; however, experimental evidence is needed to test this hypothesis.
The interaction between tomato fruit and B. cinerea results in significant changes in the expression of 37% genes involved in the ABA signaling pathway (Figure 1; Table S1). Alterations in regulators of ABA signaling/responses (e.g., receptors and transcription factors) are detected as well as changes in membrane protein channels (e.g., KAT1).
In general, increased expression of the PYL/PYR/RCAR receptors was observed in RR fruit (Figure 1; Table S1). The PYL/PYR/RCAR receptors are positive regulators of ABA response by blocking the PP2Cs inhibitors (Raghavendra et al., 2010; Cutler et al., 2010). In Arabidopsis, suppression of three PP2C clade A phosphatases results in constitutive activation of ABA signaling and increased susceptibility to fungal infection (Sánchez-Vallet et al., 2012). In agreement with these results, significant up-regulation of a RCAR1 homolog (RCAR_a) and down-regulation of a PP2C homolog in infected RR fruit at 1 and 3 dpi provides further support for a positive relationship between ABA responses and susceptibility (Figure 3; Table S2).
Enhanced expression of suppressor genes (e.g., tomato homologs of HOS3a and RACK1) throughout the ABA hormone-signaling network is detected after inoculation with B. cinerea of resistant MG fruit (Figures 1, 3; Tables S1, S2). In contrast to the increased expression in MG fruit, the homolog RACK1_a is significantly down-regulated in RR fruit at 1 and 3 dpi (Figure 3; Table S2). Previous studies have demonstrated a role for RACK1 in the activation of defense mechanisms in response to pathogens in rice. The rice RACK1 homolog (i.e., RACK1A) triggers ROS production, defense gene expression, and disease resistance by interacting with OsRac1, a Rac/Rop small GTPase involved in basal immune responses (Nakashima et al., 2008). It is plausible that tomato homolog of RACK1 has a similar role in fruit by controlling infections in MG fruit.
The contribution of ABA to the enhanced susceptibility of ripe fruit is supported by the disease development assays with the tomato sitiens mutant which fails to synthesize ABA (Harrison et al., 2011). Inoculation of RR sitiens fruit with B. cinerea resulted in a significant decrease in disease incidence when compared to the infected wild-type RR fruit (Figure 5B). Interestingly, about 40% of the inoculated sites in RR sitiens fruit displayed the typical localized necrotic response of wild-type MG green fruit (Figure 5B). MG sitiens fruit are as resistant as MG wild-type fruit (data not shown). The molecular mechanisms that mediate the reduction of susceptibility in RR sitiens fruit are not known; however, analysis of necrotrophic infections in leaves of sitiens plants suggest that a strong induction of defense-related genes (e.g., PR-1), the oxidative burst, and an increase in cuticle permeability might be crucial for the resistant phenotype of this mutant (Asselbergh et al., 2007; Curvers et al., 2010).
Plants modulate the ET, SA, JA, and ABA hormone networks to induce immune responses against the attacks by various classes of pathogens (Pieterse et al., 2012). Recent studies indicate that other hormones such as auxin, gibberellins, cytokinins, cell wall oligogalacturonides, and brassinosteroids might also be implicated in responses to pathogens either directly or by interacting with other hormones (Doares et al., 1995a; Bari and Jones, 2009). The interactions among hormones provide the plant with a powerful regulatory potential, but also give opportunities for pathogens to manipulate the plant defense-signaling networks to their advantage (Van Der Ent and Pieterse, 2012). Plants in their natural environments infrequently interact with a single pathogen species, rather they are impacted by microbial communities, herbivores, and other plants, all of which could individually, collectively or cooperatively influence responses to contact with pathogens. This complexity should be taken into account when studying plant–pathogen associations.
In fruit, high levels of ET and ABA, which stimulate senescence/ripening processes, may facilitate colonization by necrotrophs. The balance between SA and JA responses seems to be crucial for resistance in unripe fruit, while ABA production correlates with ripe fruit susceptibility. ET, at appropriate concentrations, also contributes to the resistance of fruit by activating JA and/or ET responses and possibly by blocking the antagonistic effect of SA on JA signaling. Hence, the role of plant hormones in promoting fruit resistance or susceptibility depends on the interaction of several factors, including: (1) the concentration of the hormones, (2) the timing of the synthesis and perception of the hormones, (3) the competence of the host tissue to respond to active forms of the hormones, (4) the localization of the plant's response to the hormones, and (5) the pathogen's infection strategy, including its own production of hormones.
The interaction between tomato fruit and B. cinerea causes transcriptional reprograming of multiple plant hormone networks simultaneously, and, depending on the developmental stage of the fruit contributes to either resistance or susceptibility outcomes. In Figure 6, we provide an overview of key expression changes of genes involved in biosynthesis, modification, signaling, and response pathways of the hormones (i.e., ET, SA, JA, and ABA) that, based on our transcriptome profiling analysis and validation, we propose to be part of the regulation of the resistance-to-susceptibility transition associated with ripening and healthy fruit ripening. Analytical methods that allow the simultaneous profiling of multiple signaling molecules that are produced during fruit infections (Müller and Munné-Bosch, 2011), will shed further light on the signaling networks that control fruit susceptibility in the context of ripening, but the challenge of identifying whether the hormones are synthesized by the host or by the pathogens will still be a limitation.
Figure 6. Overview of key expression changes of genes involved in genes in ethylene (ET), salicylic acid (SA), jasmonic acid (JA), and abscisic acid (ABA) pathways during the tomato fruit–Botrytis cinerea interaction. Schematic depictions of the ET, SA, JA, and ABA biosynthesis/modification and signaling/response pathways summarize the microarray analysis and qRT-PCR results and highlight changes in transcript abundance affected by fungal infection or by ripening per se (Cantu et al., 2009). Proteins identified in the microarray analysis with significant homology to Arabidopsis genes or known ethylene-related genes are in black bold font; whereas proteins that were not detected in our study or are hypothetical are indicated in gray bold font. Black solid lines indicate well-characterized steps or interactions, while gray solid lines refer to steps/interactions that have not been experimentally confirmed. Dashed lines refer to protein translocation between cellular compartments. In the signaling pathways, solid white figures correspond to positive regulators of hormonal responses while solid black figures indicate negative regulators. Gene expression changes caused by B. cinerea infections of tomato fruit at two ripening stages (MG-inf and RR-inf), that are common to infection of fruit at both stages (Infection), or that occur during ripening of healthy fruit (Ripening) are identified next to the appropriate proteins in the pathways. Up-regulation of gene expression is depicted by a short up arrow and down-regulation by a short down arrow. The detailed microarray and qRT-PCR results are presented in Tables S1, S2 in the supplementary material and the references used to build this figure are listed in Table S4.
New strategies to study complex gene networks involved in hormone signaling in fruit–pathogen interactions, including the analysis of natural or induced mutants (i.e.: TILLING populations) in both plants and pathogens, the use of laser micro-dissection and cell-specific transcriptomics, and metabolomics can contribute novel important information to our understanding of the biological and ecological importance of plant development in modulating resistance and susceptibility. From an applied perspective, evaluating the specific hormonal events that promote fruit susceptibility may facilitate the development of commodities that ripen successfully and yet are less susceptible to pathogen infection.
Conflict of Interest Statement
We thank Dr. John Labavitch (Department of Plant Sciences, UC Davis) for the critical reading of the manuscript and the valuable suggestions. We also acknowledge William M. Christie, Danh Huynh, and KaLai Lam Cheng for technical assistance. This work was partially supported by funding to Dario Cantu from the College of Agricultural and Environmental Sciences and the Department of Viticulture and Enology (UC Davis) and to Ann L. T. Powell from NSF (IOS0957264). Support to Barbara Blanco-Ulate was provided by the Consejo Nacional de Ciencia y Tecnología (Ministerio de Ciencia y Tecnología, Costa Rica) and by the Department of Plant Sciences (UC Davis).
The Supplementary Material for this article can be found online at: http://www.frontiersin.org/Plant_Cell_Biology/10.3389/fpls.2013.00142/abstract
Table S1 | Microarray expression data for the 141 putative hormone-related genes expressed in fruit. The table includes the Arabidopsis (TAIR, http://arabidopsis.org) and tomato accessions (Sol Genomics Network, http://solgenomics.net), the Affymetrix probes and annotations, the gene names, and the log2-fold changes of the comparisons between inoculated and control fruit (i.e., MG I/H and RR H/I) or during ripening (i.e., RR H/MG H). Different putative tomato homologs for the same Arabidopsis gene are distinguished by a letter after the gene name, for example MAPK6_a and MAPK6_b.
Table S2 | Candidate stress hormone-related genes used for qRT-PCR analysis. Changes in relative expression (log2) between infected and control fruit (i.e., MG I/H and RR H/I) at 1 dpi or during ripening (i.e., RR H/MG H) of the 20 genes used in the validation of the microarray results, and their correspondent changes at 3 dpi. Non-significant changes (P ≤ 0.05) are indicated in gray font.
Table S3 | Primer sequences used for qRT-PCR.
Table S4 | References utilized to build the diagrams in Figure 6.
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Keywords: plant-pathogen, ripening, resistance, susceptibility, ethylene, salicylic acid, jasmonic acid, microarray
Citation: Blanco-Ulate B, Vincenti E, Powell ALT and Cantu D (2013) Tomato transcriptome and mutant analyses suggest a role for plant stress hormones in the interaction between fruit and Botrytis cinerea. Front. Plant Sci. 4:142. doi: 10.3389/fpls.2013.00142
Received: 15 March 2013; Accepted: 25 April 2013;
Published online: 14 May 2013.
Edited by:Maren Müller, University of Barcelona, Spain
Reviewed by:Helene Sanfacon, Agriculture and Agri-Food Canada, Canada
Autar K. Mattoo, United States Department of Agriculture, USA
Copyright © 2013 Blanco-Ulate, Vincenti, Powell and Cantu. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and subject to any copyright notices concerning any third-party graphics etc.
*Correspondence: Dario Cantu, Department of Viticulture and Enology, University of California, Davis, One Shields Ave., Davis, CA 95616, USA. e-mail: firstname.lastname@example.org