Logo of plosonePLoS OneView this ArticleSubmit to PLoSGet E-mail AlertsContact UsPublic Library of Science (PLoS)
PLoS One. 2012; 7(4): e35995.
Published online Apr 26, 2012. doi:  10.1371/journal.pone.0035995
PMCID: PMC3338558

ERF5 and ERF6 Play Redundant Roles as Positive Regulators of JA/Et-Mediated Defense against Botrytis cinerea in Arabidopsis

Keqiang Wu, Editor

Abstract

The ethylene response factor (ERF) family in Arabidopsis thaliana comprises 122 members in 12 groups, yet the biological functions of the majority remain unknown. Of the group IX ERFs, the IXc subgroup has been studied the most, and includes ERF1, ERF14 and ORA59, which play roles in plant innate immunity. Here we investigate the biological functions of two members of the less studied IXb subgroup: ERF5 and ERF6. In order to identify potential targets of these transcription factors, microarray analyses were performed on plants constitutively expressing either ERF5 or ERF6. Expression of defense genes, JA/Et-responsive genes and genes containing the GCC box promoter motif were significantly upregulated in both ERF5 and ERF6 transgenic plants, suggesting that ERF5 and ERF6 may act as positive regulators of JA-mediated defense and potentially overlap in their function. Since defense against necrotrophic pathogens is generally mediated through JA/Et-signalling, resistance against the fungal necrotroph Botrytis cinerea was examined. Constitutive expression of ERF5 or ERF6 resulted in significantly increased resistance. Although no significant difference in susceptibility to B. cinerea was observed in either erf5 or erf6 mutants, the erf5 erf6 double mutant showed a significant increase in susceptibility, which was likely due to compromised JA-mediated gene expression, since JA-induced gene expression was reduced in the double mutant. Taken together these data suggest that ERF5 and ERF6 play positive but redundant roles in defense against B. cinerea. Since mutual antagonism between JA/Et and salicylic acid (SA) signalling is well known, the UV-C inducibility of an SA-inducible gene, PR-1, was examined. Reduced inducibilty in both ERF5 and ERF6 constitutive overexepressors was consistent with suppression of SA-mediated signalling, as was an increased susceptibility to avirulent Pseudomonas syringae. These data suggest that ERF5 and ERF6 may also play a role in the antagonistic crosstalk between the JA/Et and SA signalling pathways.

Introduction

Ethylene response factors (ERFs) are members of the AP2/ERF superfamily, one of the largest families of plant transcription factors. The AP2/ERF superfamily is defined by the presence of the highly conserved AP2/ERF DNA-binding domain, consisting of approximately 60 to 70 amino acids [1]. In Arabidopsis, the AP2/ERF superfamily consists of 147 genes, of which 122 are members of the ERF family which contain a single AP2/ERF domain [2]. The ERF family members can be further divided into 12 groups based on the amino acid alignments of the AP2/ERF domains. ERF proteins are able to bind the GCC box (AGCCGCC), a short cis-acting element found in the promoters of many jasmonic acid (JA)/ethylene (Et)-inducible and pathogenesis-related (PR) genes [3], and can positively or negatively regulate transcription. For example, transient expression analyses in Arabidopsis leaves revealed that AtERF1, ERF2 and ERF5 function as activators of GCC box-mediated transcription, whilst ERF3, ERF4 and ERF7 act as repressors [4], [5].

A wide range of biological functions have been described for ERF family proteins. ERF proteins are involved in the transcriptional regulation of various responses to environmental stimuli. Several ERF transcriptional activators confer enhanced disease resistance when overexpressed and compromised resistance when disrupted. Overexpression of the transcriptional activators, ERF1 and ERF2, up-regulated defense gene transcript levels (PDF1.2 and b-CHI) and increased resistance to the necrotrophic pathogen Fusarium oxysporum [6][8], whilst a T-DNA insertion mutant of the transcriptional activator ERF14 displayed impaired induction of defense gene expression (PDF1.2 and b-CHI) and increased susceptibility to infection by F. oxysporum [9]. Conversely, mutant plants of the transcriptional repressor ERF4 exhibited increased PDF1.2 levels and enhanced resistance to F. oxysporum, whilst ERF4-overexpressors were more susceptible to infection by this pathogen [8], [9]. ERF proteins also play a role in a variety of developmental processes such as cell expansion, leaf petiole development and some are able to mediate the response to cytokinin [10][12].

Presumably reflecting their roles in stress tolerance, expression of many ERF genes is regulated in response to environmental stress, although their patterns vary. Regulation by disease-related stimuli and by components of stress signal transduction pathways, such as the plant hormones jasmonic acid (JA), ethylene (Et) and salicylic acid (SA), as well as by pathogen infection has been demonstrated for a number of ERF genes [13][16].

The key roles of SA, JA and Et as signals mediating pathogen defense responses have been widely documented [17], [18]. Although exceptions have been reported, in general resistance to biotrophic and hemibiotrophic pathogens such as Pseudomonas syringae and Hyaloperonospora parasitica is mediated through SA-signalling, while resistance against necrotrophic pathogens such as Botrytis cinerea is mediated through JA/Et-signalling [18], [19]. It is apparent that extensive crosstalk exists between these two signalling pathways, with the majority of studies reporting a mutually antagonistic interaction [17], [20]. For example, application of exogenous SA suppresses the induction of JA-responsive genes such as PDF1.2 [21], while the induction of SA-mediated defense responses in Arabidopsis following infection with P. syringae renders the plant more susceptible to infection by the necrotrophic pathogen Alternaria brassicicola by suppression of JA signalling [22]. Conversely, JA-signalling mutants such as coi1 display elevated expression of the SA marker gene PR-1 [23]. Plant pathogens have evolved mechanisms that exploit this mutual antagonism to subvert the host immune response. The phyototoxin coronatine produced by P. syringae is a jasmonoyl-isoleucine (JA-Ile) structural analogue and binds to the JA receptor COI1, resulting in the suppression of SA-mediated signalling [24], [25].

Despite the evidence that ERFs play important roles in many plant physiological processes, many of the 122 Arabidopsis ERFs have yet to be assigned a biological role. Of the group IX ERFs, the IXc subgroup has been the most studied and includes members such as ERF1, ERF14 and ORA59 with demonstrated roles in defense against microbial pathogens [26], [27]. In contrast, very little is known about the biological functions or downstream targets of members of the IXb subgroup.

We therefore investigated ERF5 (At5g47230) and its closest relative in the IXb subgroup, ERF6 (At4g17490), which shares 58% identity at the amino acid level [2]. To identify putative downstream targets of these transcription factors we carried out microarray analyses on transgenic Arabidopsis constitutively-expressing either ERF5 or ERF6. These data suggested a redundant role for these two transcription factors as positive regulators of a subset of jasmonic acid/ethylene-responsive defense genes. Accordingly, a double erf5 erf6 mutant displayed reduced expression of PDF1.1 and PDF1.2a and increased susceptibility to the necrotrophic pathogen B. cinerea, while the single erf5 and erf6 mutants did not. Constitutive expression of either transcription factor resulted in enhanced resistance to B. cinerea, but increased susceptibility to avirulent P. syringae. Analysis of PR-1 expression indicated that SA-mediated signalling may be repressed in these plants, providing further evidence for antagonism between JA/Et and SA-mediated signalling in plants.

Results

Plants constitutively expressing ERF5 or ERF6 display upregulation of pathogen defense genes

In order to identify potential downstream targets of ERF5 and ERF6, we generated transgenic plants constitutively expressing each of these transcription factors under the control of the CaMV 35S promoter. RNA gel blot analysis was initially used to identify overexpressing lines (data not shown), and mRNA levels in the three highest overexpressors (35S:ERF5 lines 1, 2 and 4; 35S AtERF6 lines 6, 9 and 12) were quantified by real-time PCR (Figure 1). These transgenic plants were subsequently used in expression profiling experiments to identify putative downstream targets of ERF5 and ERF6. Microarray analyses were performed as three biological repeats, using cDNA prepared from ten-day old seedlings for three independent transgenic lines of 35S:ERF5 and 35S:ERF6.

Figure 1
Analysis of transgene expression in 35S:ERF5 and 35S:ERF6 plants.

In total, we identified 46 genes that showed significant (>2-fold) upregulation in the transgenic plants; 18 of these were upregulated in both 35S:ERF5 and 35S:ERF6 plants, while 15 were upregulated only in 35S:ERF5 plants, and 13 only in 35S:ERF6 plants (Table 1). Functional enrichment analysis of this set of 46 genes using FatiGO (http://babelomics.bioinfo.cipf.es) revealed a highly significant enrichment (Fisher exact test, two-tailed, p = 2.24e-11) for genes annotated with gene ontology (GO) term GO:0006952 (defense response), with 39.1% (18/46) of the upregulated genes associated with this term, compared to 2.61% in the whole Arabidopsis genome. Other significantly over-represented GO terms included response to fungus, response to bacterium and response to ethylene (Figure S1). Notably, 13 of the 18 (72.2%) genes significantly upregulated in both 35S:ERF5 and 35S:ERF6 plants were associated with the GO term defense response, including 6 plant defensin genes.

Table 1
Genes upregulated by constitutive expression of ERF5 and ERF6.

To confirm the validity of the microarray data, we performed real-time PCR analysis on PDF1.1 (At1g75830) and PDF1.2a (At5g44420) expression levels. Both genes were, according to our microarray data, highly up-regulated in plants constitutively expressing ERF5 or ERF6. As shown in Figure 2, the expression levels of both genes were higher in the 35S:ERF5 and 35S:ERF6 plants, as compared to the empty vector control, showing good agreement with the microarray data. Furthermore, the RQ values for both PDF1.1 and PDF1.2a correlated with the level of ERF transgene expression in these plants for both 35S:ERF5 and 35S:ERF6 plants (Figures 1 and and22).

Figure 2
Validation of microarray data by qRT-PCR.

Promoter analysis suggests that ERF5 and ERF6 play a role in JA/Et-mediated gene expression

The upstream promoter sequences of the 46 upregulated genes were analysed in order to identify over-represented oligonucleotide motifs that may represent transcription factor binding sites or regulatory sites. The GCC box (AGCCGCC) and GCC core (GCCGCC) were found to be significantly over-represented in the promoters of both the 35S:ERF5 and 35S:ERF6 upregulated genes (Tables S1 and S2). Furthermore, the observed/expected ratios for the GCC box were the highest of any 7-mer motif, at 13.9 in 35S:ERF5 and 14.2 in 35S:ERF6 plants respectively.

The GCC box can confer JA/Et-mediated regulation of promoter activity, and previous studies have identified a number of ERFs that can bind to this motif and either induce or repress gene expression [8], [22], [28]. Given the over-representation of the GCC box in the upstream regions of the 35S:ERF5- and 35S:ERF6-upregulated genes, we examined their JA/Et-responsiveness by comparison to microarray data previously generated by Pré et al. (2008). In this study, two-week old wild-type Arabidopsis plants were treated with either 50 µM JA or a combination of 50 µM JA and 1 mM ethephon (an ethylene releasing agent) for 8 or 24 h [27]. In total, 16 of the 46 genes upregulated in either 35S:ERF5 or 35S:ERF6 plants were also identified as JA/Et responsive by Pré and colleagues, including 12 of the 18 (80%) genes upregulated in both 35S:ERF5 and 35S:ERF6 plants (Table 2). These 16 genes are also upregulated by overexpression of ORA59 [27], a member of the ERF IXc subgroup (Table 2). The over-representation of JA/Et-responsive genes in the lists of transcripts regulated by ERF5 and ERF6 is highly significant as determined by Chi-squared test (p<0.001).

Table 2
Genes upregulated in 35S:ERF5 or 35S:ERF6 plants that are responsive to jasmonic acid and ethylene treatment and overexpression of ORA59.

ERF5 and ERF6 play positive but redundant roles in defense against Botrytis cinerea

Both the significant over-representation of defense-related and JA/Et-responsive genes in the 46 genes upregulated in the 35S:ERF5 and 35S:ERF6 plants, and the prevalence of the GCC box in their upstream sequences suggests that ERF5 and ERF6 may act as positive regulators of JA-mediated defense against necrotrophic pathogens. Accordingly, we found that constitutive expression of either transcription factor was sufficient to result in significantly increased resistance against the fungal necrotroph B. cinerea in comparison to that observed in wild-type plants or the empty vector control plants (Figure 3).

Figure 3
ERF5 and ERF6 play redundant roles as positive regulators of resistance against Botrytis cinerea in Arabidopsis.

However, an enhanced disease resistance phenotype in an overexpressor line does not necessarily indicate that this gene performs a corresponding role in wild-type plants. In order to test whether ERF5 and ERF6 are indeed required for resistance against B. cinerea we isolated homozygous T-DNA insertion mutants (Figure 4A) from segregating populations (erf5: GABI_681E07 [29], erf6: SALK_087356 [30]) by PCR genotyping. RNA gel blot analysis of the homozygous lines revealed the production of an aberrant truncated ERF5 transcript in the erf5 mutant, while no ERF6 transcript could be detected in the erf6 mutant (Figure 4B). It is theoretically possible, though unlikely, that the truncated transcript of the efr5 mutant has residual activity, thus this mutant might be a reduced, rather than loss of, function, mutant. The observations that 72% of the differentially expressed genes annotated with the GO term defense response (Table 1) and 12 of the 16 genes identified as JA/Et-responsive (Table 2) were upregulated in both 35S:ERF5 and 35S:ERF6 plants, suggests that any role played by ERF5 and ERF6 in JA-mediated defense against B. cinerea may be redundant. In order to test this, we generated a homozygous erf5 erf6 double mutant, which showed greatly reduced expression of ERF5 and ERF6 as determined by qRT-PCR (Figure S2). While no significant difference in susceptibility to B. cinerea was observed in either the erf5 or erf6 mutants in comparison to wild-type plants, the erf5 erf6 double mutant showed a significant increase in susceptibility to this pathogen (Figure 3). Together these data suggest that ERF5 and ERF6 play positive but redundant roles in defense against B. cinerea in Arabidopsis.

Figure 4
Analysis of erf5 and erf6 T-DNA insertion mutants.

To determine whether the increased susceptibility of the erf5 erf6 double mutant to B. cinerea might result from impairment of JA-mediated signalling, we analysed PDF1.1 and PDF1.2a expression in these plants following treatment with 100 µM MeJA for 24 h. Expression levels of both of these genes were significantly lower in the erf5 erf6 plants following JA treatment in comparison to those observed in wild-type plants (Figure 5), suggesting that JA-mediated gene expression is compromised in the double mutant.

Figure 5
The erf5 erf6 double mutant shows reduced JA-induction of plant defensin genes.

Constitutive expression of ERF5 or ERF6 reduces UV-C-induced SA-mediated PR-1 expression and increases susceptibility to avirulent Pseudomonas syringae

The mutual antagonism between JA/Et and SA signalling is well known [18]. Given the constitutive upregulation of JA-responsive genes in the 35S:ERF5 and 35S:ERF6 plants we examined whether SA signalling was repressed in these plants by performing real-time PCR analysis on PR-1, a SA-inducible gene. Seedlings were exposed to UV-C, a treatment which has previously been shown to upregulate PR-1 expression via SA signalling [31]. The 35S:ERF5 and 35S:ERF6 plants exhibited significantly reduced UV-C-induced PR-1 expression in comparison to plants transformed with the empty vector (Figure 6). Since resistance against many biotrophic and hemibiotrophic pathogens is SA-dependent, we examined the response of the transgenic lines to an avirulent strain of the hemibiotroph bacterium P. syringae (Pst) DC3000 harbouring the avrB gene. Leaves of four-week old plants were infiltrated with a Pst DC3000 avrB suspension. Transgenic plants constitutively expressing either ERF5 or ERF6 were more susceptible to Pst DC3000 avrB, exhibiting significantly higher leaf bacterial titres 48 h post-infection in comparison to the empty vector control (Figure 7).

Figure 6
Constitutive expression of ERF5 or ERF6 reduces UVC-induced PR-1 expression.
Figure 7
Constitutive expression of ERF5 or ERF6 leads to increased susceptibility to avirulent Pseudomonas syringae.

Discussion

The production of plant defensins is a hallmark of the JA/Et-mediated defense response against necrotrophic pathogens [32], [33]. We identified a subset of defense genes, including six of the thirteen plant defensin genes in Arabidopsis, as putative downstream targets of ERF5 and ERF6 through expression profiling of plants constitutively expressing these transcription factors (Table 1, Figure 2). Analysis of the upstream regions of all of the putative target genes revealed an over-representation of the GCC-box (Tables S1 & S2). A number of ERFs have previously been shown to bind to this element within the promoters of JA/Et-responsive genes such as PDF1.2a, and either induce or repress gene expression [3], [4], [28]. While ERF5 and ERF6 might be acting indirectly on these motifs, the most parsimonious, and likely, explanation is that they also bind directly to these sequences, and function as GCC-box transcriptional activators. Indeed, a protoplast transactivation system has shown that ERF5 is able to activate the promoter of PDF1.2, providing support for a direct role in GCC-box promoter activation [34]. Constitutive expression of ERF5 or ERF6 thus leads to activation of JA/Et-dependent defense genes, and accordingly we found that 35S:ERF5 and 35S:ERF6 plants displayed increased resistance to the necrotrophic pathogen Botrytis cinerea (Figure 3).

Constitutive expression of several members of the ERF IXc subgroup such as ORA59 (ERF59) and ERF1 also results in increased expression of JA/Et-regulated defense genes including PDF1.2a, and in increased resistance to B. cinerea [26], [27]. Indeed, 16 of the 46 genes upregulated in the 35S:ERF5 and 35S:ERF6 plants are also upregulated in plants constitutively expressing ORA59 (Table 2). However, these gain-of-function phenotypes are not necessarily indicative of a requirement for a given ERF in defense against B. cinerea in wild-type plants. For example, constitutive expression of an ERF gene may result in inappropriate binding to promoters that are not normally regulated by the transcription factor. Analysis of null mutants or RNAi lines is thus required to demonstrate that a given ERF is required for resistance to B. cinerea. While ORA59-silenced plants do indeed display increased susceptibility to B. cinerea [27], no such studies have been reported for ERF1 to date. To determine whether ERF5 and ERF6 are required for resistance to B. cinerea in wild-type plants, we analysed the susceptibility of single erf5 and erf6 T-DNA insertion mutants, and a double erf5 erf6 knockout to this pathogen. While neither of the single mutants displayed altered resistance to B. cinerea, the erf5 erf6 double mutant showed a significant increase in susceptibility in comparison to wild-type plants (Figure 3). These data suggest that ERF5 and ERF6 play redundant roles in JA/Et-mediated defense against B. cinerea in Arabidopsis. This hypothesis is supported by the overlap in potential downstream targets of these two transcription factors (Table 1). Similar to ORA59 and ERF1, the transcripts of ERF5 and ERF6 increase in abundance in response to treatment with either JA or Et, although fold induction is less (Table S3). However, unlike ORA59 and ERF1, the transcripts of ERF5 and ERF6 do not increase in response to Botrytis infection (Table S4).

Notably, the erf5 erf6 double mutant displayed reduced induction of PDF1.1 and PDF1.2a expression in response to JA treatment (Figure 5), suggesting that the increased susceptibility of the mutant to B. cinerea may be explained in part by the abrogation of JA-mediated gene expression. The redundant roles of ERF5 and ERF6 in defense against B. cinerea are in contrast to that of ORA59; ORA59-silenced plants are not able to induce PDF1.2a in response to JA, and show increased susceptibility to B. cinerea infection [27]. Similarly, ERF14 plays a non-redundant role against Fusarium oxysporum [9]. In contrast to the severe growth retardation that was reported for constitutive expression of ERF1, ERF14 and ORA59 [9], [26], [27] 35S:ERF6 plants displayed no visible phenotype under normal growth conditions, while 35S:ERF5 plants were only slightly smaller than wild-type plants (data not shown). No difference in time to flowering was observed, and both lines produced viable seed.

ERF5 and ERF6 have recently been shown to interact in planta, and have been proposed to form part of a signalling network activated following the perception of the fungal PAMP chitin [35]. Plants constitutively expressing ERF5 displayed increased susceptibility to the fungal necrotroph Alternaria brassicicola while a erf5 erf6 double mutant displayed a modest reduction in spore production, but exhibited no apparent difference in lesion size in comparison to wild-type plants [35]. These results are in apparent contradiction to our results, where the 35S:ERF5 and 35S:ERF6 plants displayed increased resistance, and the erf5 erf6 double mutant increased susceptibility to B. cinerea. This discrepancy might be attributable to the fact that these two plant-pathogen interactions differ somewhat. Wild-type Arabidopsis plants are resistant to A. brassicicola, developing small necrotic lesions that do not spread beyond the initial inoculation droplet [36], and the interaction is thus incompatible. In contrast, spreading necrotic lesions are observed during the compatible Arabidopsis-B. cinerea interaction. There are undoubtedly commonalities in the defense mechanisms employed against the necrotrophs e.g. JA levels increase in Arabidopsis following infection with either pathogen, and the JA-insensitive coi1 mutant displays increased susceptibility to both pathogens [37]. However, a recent hierarchical cluster analysis of the expression profiles induced in Arabidopsis 24 h after infection by different plant pathogens revealed an unexpected and distinct lack of similarity between the profiles observed in response to B. cinerea and A. brassicicola [38]. Notably, several clusters of genes up-regulated in response to B. cinerea were down-regulated by A. brassicicola, and vice versa. Clearly then the host response to these pathogens is not identical, and it is thus possible that a given protein could play opposing roles against these two pathogens. Interestingly the ERF ORA59 also plays differential roles in defense against these pathogens; while ORA59 is required for PDF1.2a expression following infection with both pathogens, ORA59-silenced plants showed increased susceptibility only to B. cinerea and not to A. brassicicola [27].

The mutual antagonism between the JA/Et and SA signalling pathways is well-established [17], [20], and allows plants to mount an appropriate defense response against the attacking pathogen. Given that the JA/Et pathway was up-regulated in plants constitutively expressing ERF5 or ERF6, we tested whether SA-mediated signalling was repressed. Consistent with a suppression of SA signalling, UV-C–induced PR-1 expression was significantly reduced in 35S:ERF5 and 35S:ERF6 plants (Figure 6). Plants constitutively expressing ERF5 or ERF6 also showed increased susceptibility to the hemibiotroph Pst DC3000 avrB in comparison to empty vector control plants (Figure 7). These data suggest that ERF transcription factors can also play a role in the suppression of SA-mediated signalling, in addition to their previously reported role in the activation of JA/Et mediated responses. Plants constitutively expressing ERF1 also show increased susceptibility to virulent Pst DC3000 [26]. While the molecular basis of this phenotype was not investigated, it is conceivable that ERF1 overexpression also results in the suppression of SA-mediated defense responses. Further evidence that ERF transcription factors influence SA-mediated signalling comes from a recent report suggesting that ERF9 (group VIII) and ERF14 (group IX) suppress expression of PR-1 during colonization of the host by the endophytic fungus Piriformospora indica [39].

The data presented here demonstrate a redundant role for ERF5 and ERF6 in defense against the necrotrophic pathogen B. cinerea. We suggest that these transcription factors function in the activation of JA/Et-responsive gene expression, and perhaps also in the suppression of SA-mediated signalling to optimize the host response against necrotrophic pathogens. Whether other members of the ERF IXb subgroup play a similar role remains to be determined.

Materials and Methods

Plant growth conditions

Arabidopsis thaliana plants were grown on 1× Murashige and Skoog (MS) 0.8% (w/v) agar plates or on peat (Jiffy Products, International AS, Norway) and vermiculite in a 1[ratio]1 (v/v) ratio. Lighting was maintained at 150 µmol m−2 s−1 with a 16/8 h photoperiod and a temperature of 20°C.

Generation of 35S:ERF5 and 35S:ERF6 lines

Full-length ERF5 or ERF6 cDNAs were cloned into the pK2GW7 vector which contains the cauliflower mosaic virus 35S promoter [40]. Control plants were transformed with the empty pK2GW7 vector. Agrobacterium-mediated floral dip transformation of Col-0 plants was performed using the Agrobacterium tumefaciens strain C58C1, as described previously [41]. Transformants were selected on the basis of their ability to grow on MS medium containing 50 µg mL−1 kanamycin.

Identification of erf5 and erf6 mutants and generation of double mutant

Segregating T-DNA insertion mutants (erf5: GABI_681E07 [29], erf6: SALK_087356 [30]) were obtained from the Nottingham Arabidopsis Stock Centre and homozygous lines were isolated by PCR genotyping. For PCR screening, genomic DNA was extracted from the unopened flower buds of individual plants and the following gene specific primers used in conjunction with the appropriate left border (LB) primer for screening (ERF5 L: GGAATTTCTATCGATTCCATTTGA; ERF5 R: GAACAACTTCACATAACGCC; GABI LB: ATATTGACCATCATACTCATTGC; ERF6 L: CGACAAAGAAGCGTTTAGAC; ERF6 R: GTGTTATGTGTTCTCTGTTC; SALK LB: TGGTTCACGTAGTGGGCCATCG). Homozygous erf5 and erf6 mutants were crossed, and homozygous erf5 erf6 double mutants identified by PCR genotyping using the primers listed above.

RNA blot analysis

RNA was isolated from whole seedlings by using the RNeasy Plant Mini Kit (Qiagen) according to the manufacturer's instructions. For RNA blot analysis, 10 µg of total RNA extracted from 10-day old seedlings was loaded on a 1% (v/v) agarose formaldehyde denaturing gel, transferred onto a nylon membrane, hybridized and washed as described previously [42]. The blots were hybridized with either an ERF5 probe (PCR amplified with the primers CATCGAGAAACATCTACTCG and GTTTAGTAACTTCCGGTTTG) or ERF6 probe (amplified using GTCTCCGTTGCCTACTACTG and CGATTGGATTGAACAGTAAC).

Real-time quantitative PCR

Gene expression levels were analysed by quantitative real-time PCR using an Applied Biosystems 7300 system. A High Capacity cDNA reverse transcription kit (Applied Biosystems) was used to reverse transcribe cDNA from 2 µg of total RNA extracted using the RNeasy Plant Mini Kit (Qiagen) in conjunction with RNAse-free DNase (Qiagen) to remove any genomic DNA contamination. Quantitative real-time PCR (qRt-PCR) was used to detect relative transcript levels using either gene-specific TaqMan probes or gene-specific primers with SYBR green. Gene-specific primer pairs were designed using Primer Express software (Applied Biosystems) for ERF5 (At5g47230), ERF6 (At4g17490), PDF1.1 (At1g75830) and PDF1.2a (At5g44420). Primers were ERF5 forward TCTTCGGATCATCGTCCTCTTC; ERF5 reverse GGTTTGCATACGGATTCAGAGAA; ERF6 forward GAAAACCGCCGTTGAAGATC; ERF6 reverse CGGTTGCGAATTGAATCCA; PDF1.1 forward taaacaatagtcATGGCTAAGTCTGC; PDF1.1 reverse ACTTGGCCTCTCGCACAACT; PDF1.2a forward AATCTTTGGTGCTAAATCGTGTGTAT; PDF1.2a reverse CAACGGGAAAATAAACATTAAAACAG). Expression levels were normalized to the expression of PEX4 (At5g25760), an endogenous control gene used previously [40] (primers were forward: TCATAGCATTGATGGCTCATCCT and reverse: ACCCTCTCACATCACCAGATCTTAG). Five µL of a 1[ratio]50 dilution of cDNA was amplified in a 15 µL reaction with Roche Faststart Universal SYBR Green Mastermix (ROX) (Roche) in an optical 96-well plate with three technical replicates for each sample. PR-1 (At2g14610) transcripts were detected using a gene-specific TaqMan probe (Applied Biosystems probe identifier At02170748_s1) and expression levels were normalized to the expression of an endogenous control gene. We discovered that several commonly used endogenous control genes were strongly induced by UV-C irradiation (data not shown), therefore, in these experiments, we normalized to the expression of At4g24410 (probe identifier At02239002_g1), a gene whose expression does not alter under such conditions (Genevestigator; https://www.genevestigator.com). For qRT-PCR reactions using Taqman probes, 6 µL of a 1[ratio]50 dilution of cDNA was amplified in a 15 µL reaction with TaqMan Universal PCR Mix (Applied Biosystems) in an optical 96-well plate with three technical replicates for each sample. In all cases, relative quantitation was performed by the ΔΔCT (comparative CT) method [43]. Relative Quantitation (RQ) values and estimates of statistical variation (SV) for each sample were calculated as previously [44]. The algorithm used is described in Relative Quantitation (RQ) algorithms, Applied Biosystems Real-Time PCR Systems Software, July 2007. Error bars represent RQMIN and RQ MAX and constitute the acceptable error level for a 95% confidence level according to Student's t-test.

Microarray analysis

Microarray experiments were conducted using Arabidopsis 70-mer oligonucleotide microarrays printed with the Operon Arabidopsis version 3.0 AROS oligo set (University of Arizona; http://www.arizona.edu/microarray/). Experiments were performed as three biological repeats using cDNAs prepared independently from three individual lines. Total RNA was extracted from 10-day old plants using the RNeasy Plant Mini kit (Qiagen) and quantified using a Nanodrop ND-1000 spectrophotometer (Labtech). Integrity was checked using a 2100 Bioanalyzer and RNA Nano Chips (Agilent), according to manufacturer's instructions.

Reagents and enzymes for the preparation of materials for microarray hybridizations were sourced from the 3DNA 900 indirect labelling kit (Genisphere) unless otherwise stated. Two micrograms of total RNA was reverse-transcribed into unlabelled cDNA using SuperScript III reverse transcriptase (Invitrogen). Microarray slides were baked at 80°C for 30 min and then UV cross-linked at 300 MJ. Slides were then pre-hybridized in 3.5× SSC, 0.1% (w/v) SDS and 10 mg mL−1 bovine serum albumin (BSA) at 65°C for 20 min. Following pre-hybridization, slides were washed with distilled water, then isopropanol, dried with an airbrush and pre-scanned to check for any array defects. The capture sequence-tagged cDNAs were hybridized onto the microarray slide for 16 h at 55°C in a SlideBooster SB400 (Advalytix) with the power setting at 27 and a pulse[ratio]pause ratio of 3[ratio]7. Following the first hybridization, the slides were washed in 2× SSC, 0.2% (w/v) SDS for 10 min at 55°C, followed by washes with 2× SSC and 0.2× SSC for 10 min, at room temperature. The slides were dried with an airbrush and hybridized with the Cy3 and Cy5 3DNA dendrimer capture reagents (Genisphere) at 55°C for 4 h, and washed as before. Dried slides were scanned using a ScanArray Express HT (Perkin Elmer) using autocalibration to obtain optimized non-saturating images for each fluorophore.

Scanned microarray images were straightened, if necessary, with ImageViewer (BlueGnome; http://www.cambridgebluegnome.com/) and analysed using BlueFuse for Microarrays (BlueGnome). Spot data were extracted from images and manually flagged to remove hybridization artefacts before fusion. Fused data were filtered according to the pON value. Spots with pON values <0.5 in both channels were excluded to eliminate the bias generated by the inclusion of unhybridized spots in the statistical interpretation of the data, and the data were globally adjusted such that the mean rRNA ratio was 1.0. The data were then analysed using a locally prepared implementation of the Cyber-T algorithm within BASE [45] maintained by the Computational Biology Research Group at the University of Oxford as described previously [46]. A cut off p-value of 0.01 was used to identify differentially expressed genes. Genes whose transcript levels did not change consistently (i.e. with an expression ratio greater than or less than one in all three replicate experiments) were discarded. Total microarray data have been deposited in the ArrayExpress database (www.ebi.ac.uk/arrayexpress) under the accession numbers E-MTAB-436 (35S:ERF5) and E-MTAB-435 (35S:ERF6) (www.ebi.ac.uk/aerep/login; username: Reviewer_E-MTAB-436, password 1289219822065 and username: Reviewer_E-MTAB-435, password: 1289228646825).

Promoter motif analysis

Promoter sequences (1000 bp upstream) were downloaded from the TAIR database (http://www.arabidopsis.org/tools/bulk/sequences/index.jsp), and analysed for over-represented promoter motifs using the “oligo-analysis” tool (default settings, Markov chain order 2) available online at the Regulatory Sequence Analysis Tools (RSAT) website (http://rsat.ulb.ac.be/rsat) [47]. Sequences were searched for oligomers between 4 and 8 bp in length. Only motifs with a p-value <0.001 were considered significant. All over-represented motifs were then compared to those listed in the PLACE database of plant cis-acting regulatory DNA elements (http://www.dna.affrc.go.jp/PLACE/) to determine whether they had been previously characterized.

Pathogen assays

Botrytis cinerea (pepper isolate) was maintained on apricot halves at 22°C, and spores collected in 3 mL water 12 days after initial inoculation. Spore number was determined using a haemocytometer and adjusted to 5,000 spores mL−1 in 50% (v/v) grape juice. Single leaves were excised from ten four-week old plants per plant line and placed on 1% (w/v) agar on large petri dishes. Leaves were inoculated with 10 µL of the spore suspension, and the plates were sealed with parafilm to maintain humidity. Photographs were taken five days after inoculation, and the area of the necrotic lesion determined using ImageJ software (http://rsbweb.nih.gov/ij/).

Avirulent Pseudomonas syringae pv. tomato (Pst) DC3000 carrying the AvrB gene was grown in King's broth (KB) supplemented with 50 µg mL−1 rifampicin and 10 µg mL−1 tetracycline. Four-week old plants were infected with a Pst suspension at an OD600 nm of 0.002 (corresponding to 104 colony forming units cm2) in 10 mM MgCl2 by infiltration of the leaf using a needleless 1 mL syringe. Three leaves were harvested per plant from a total of three plants at 4 h post-infection (hpi) and from a further three plants at 48 hpi. Single leaf discs of 0.5 cm2 were obtained from each leaf sample and pooled per plant, giving three biological replicates per time point. The disks were ground in 1 mL 10 mM MgCl2 and serial dilutions made from the resulting suspensions. Ten µL of each dilution was spotted onto KB agar plates containing 50 µg mL−1 rifampicin, and colonies were counted after 2 d growth at 30°C.

ANOVA was used to determine whether host genotype had a significant effect on susceptibility to B. cinerea or P. syringae, followed by Fisher LSD post-hoc analysis to identify mean values significantly different at p = 0.05. Prior to ANOVA, Raw data were transformed, using square root transformation for lesion sizes and natural logs for bacterial titres to ensure homogeneity of variance and normality of error.

JA treatment

Seeds were sown individually and evenly on horizontal 1× MS agar plates. After 12 days seedlings were transferred to water and left overnight. The following day, methyl jasmonic acid was added to a final concentration of 100 µM, and seedlings harvested after 24 h for RNA extraction.

UV treatment

Seeds were sown individually and evenly on horizontal 1× MS agar plates. After 12 days lids were removed from the plates and the seedlings were irradiated with 5 kJ m−2 of UV-C, (wavelength 254 nm) in a UV cross-linker (Uvitec). Immediately after irradiation all plates, including control plates, were resealed with micropore tape and returned to the growth chamber. After 24 h samples were harvested for RNA extraction.

Supporting Information

Figure S1

Significantly over-represented GO terms in the genes upregulated in 35S:ERF5 or 35S:ERF6 plants. Directed acyclic hierarchical graph (DAG) of significantly over-represented gene ontology (GO) terms in the genes upregulated in 35S:ERF5 or 35S:ERF6 plants. The DAG was generated using FatiGO (http://babelomics.bioinfo.cipf.es). GO terms in red are significantly over-represented in the dataset.

(PDF)

Figure S2

The erf5 erf6 double mutant shows reduced expression of ERF5 and ERF6. Relative accumulation of ERF5 or ERF6 mRNA was measured by qRT-PCR in ten-day old seedlings. Relative Quantitation (RQ) values were calculated after normalization to PEX4 expression levels. Each value is the mean of three technical replicates and the data are representative of three independent experiments.

(PDF)

Table S1

Promoter motif enrichment analysis of genes significantly upregulated in 35S:ERF5 plants.

(PDF)

Table S2

Promoter motif enrichment analysis of genes significantly upregulated in 35S:ERF6 plants.

(PDF)

Table S3

Fold induction values of ERF5, ERF6, ERF1 and ORA59 in response to ethylene and jasmonic acid treatment. Fold change in transcript level observed in 7-d old wild-type Col-0 plants treated with 10 µM ACC or 10 µM MeJA for 0.5, 1 or 3 h. Microarray data from the AtGenExpress project with the TAIR submission number ME00334 (ACC) and ME00337 (MeJA) [48]. Values obtained from the eFP Browser on the Botany Array Resource (BAR) [49].

(PDF)

Table S4

Fold induction values of ERF5, ERF6, ERF1 and ORA59 in response to Botrytis cinerea infection. Fold change in transcript level observed in 4-week old wild-type Col-0 plants inoculated with B. cinerea spores at 18 or 48 h post-inoculation. Microarray data from the AtGenExpress project with the TAIR submission number ME00341. Values obtained from the eFP Browser on the Botany Array Resource (BAR) [49].

(PDF)

Acknowledgments

We thank Dr Barbara Kunkel (Washington University in St Louis) for Pst DC3000 avrB, and Dr Richard Capper and Rebecca Lamb for technical assistance.

Footnotes

Competing Interests: The authors have declared that no competing interests exist.

Funding: This work was funded by the Biotechnology and Biological Sciences Research Council (BBSRC) UK (studentship BBS/S/B/2003/12908 and BBS/S/K/2003/10126) (http://www.bbsrc.ac.uk/PA/grants/AwardDetails.aspx?FundingReference=BBS%2fS%2fB%2f2003%2f12908; http://www.bbsrc.ac.uk/PA/grants/AwardDetails.aspx?FundingReference=BBS%2fS%2fK%2f2003%2f10126). The authors also thank Durham University's Project Sri Lanka for funding DLW and the National Research Foundation, South Africa for funding RAI. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

1. Okamuro JK, Caster B, Villarroel R, Van Montagu M, Jofuku KD. The AP2 domain of APETALA2 defines a large new family of DNA binding proteins in Arabidopsis. Proceedings of the National Academy of Sciences of the United States of America. 1997;94:7076–7081. [PMC free article] [PubMed]
2. Nakano T, Suzuki K, Fujimura T, Shinshi H. Genome-wide analysis of the ERF gene family in Arabidopsis and rice. Plant Physiology. 2006;140:411–432. [PMC free article] [PubMed]
3. Ohme-Takagi M, Shinshi H. Ethylene-Inducible DNA-Binding Proteins That Interact with an Ethylene-Responsive Element. Plant Cell. 1995;7:173–182. [PMC free article] [PubMed]
4. Fujimoto SY, Ohta M, Usui A, Shinshi H, Ohme-Takagi M. Arabidopsis ethylene-responsive element binding factors act as transcriptional activators or repressors of GCC box-mediated gene expression. Plant Cell. 2000;12:393–404. [PMC free article] [PubMed]
5. Song CP, Agarwal M, Ohta M, Guo Y, Halfter U, et al. Role of an Arabidopsis AP2/EREBP-type transcriptional repressor in abscisic acid and drought stress responses. Plant Cell. 2005;17:2384–2396. [PMC free article] [PubMed]
6. Berrocal-Lobo M, Molina A. Ethylene Response Factor 1 mediates Arabidopsis resistance to the soilborne fungus Fusarium oxysporum. Mol Plant Microbe Interact. 2004;17:763–770. [PubMed]
7. Solano R, Stepanova A, Chao Q, Ecker JR. Nuclear events in ethylene signaling: a transcriptional cascade mediated by ETHYLENE-INSENSITIVE3 and ETHYLENE-RESPONSE-FACTOR1. Genes Dev. 1998;12:3703–3714. [PMC free article] [PubMed]
8. McGrath KC, Dombrecht B, Manners JM, Schenk PM, Edgar CI, et al. Repressor- and activator-type ethylene response factors functioning in jasmonate signaling and disease resistance identified via a genome-wide screen of Arabidopsis transcription factor gene expression. Plant Physiology. 2005;139:949–959. [PMC free article] [PubMed]
9. Oñate-Sánchez L, Anderson JP, Young J, Singh KB. AtERF14, a member of the ERF family of transcription factors, plays a nonredundant role in plant defense. Plant Physiology. 2007;143:400–409. [PMC free article] [PubMed]
10. van der Graaff E, Den Dulk-Ras A, Hooykaas PJJ, Keller B. Activation tagging of the LEAFY PETIOLE gene affects leaf petiole development in Arabidopsis thaliana. Development. 2000;127:4971–4980. [PubMed]
11. Rashotte AM, Mason MG, Hutchison CE, Ferreira FJ, Schaller GE, et al. A subset of Arabidopsis AP2 transcription factors mediates cytokinin responses in concert with a two-component pathway. Proceedings of the National Academy of Sciences of the United States of America. 2006;103:11081–11085. [PMC free article] [PubMed]
12. Wilson K, Long D, Swinburne J, Coupland G. A dissociation insertion causes a semidominant mutation that increases expression of TINY, an Arabidopsis gene related to APETALA2. Plant Cell. 1996;8:659–671. [PMC free article] [PubMed]
13. Brown RL, Kazan K, McGrath KC, Maclean DJ, Manners JM. A role for the GCC-box in jasmonate-mediated activation of the PDF1.2 gene of Arabidopsis. Plant Physiology. 2003;132:1020–1032. [PMC free article] [PubMed]
14. Chen WQ, Provart NJ, Glazebrook J, Katagiri F, Chang HS, et al. Expression profile matrix of Arabidopsis transcription factor genes suggests their putative functions in response to environmental stresses. Plant Cell. 2002;14:559–574. [PMC free article] [PubMed]
15. Cheong YH, Chang HS, Gupta R, Wang X, Zhu T, et al. Transcriptional profiling reveals novel interactions between wounding, pathogen, abiotic stress, and hormonal responses in Arabidopsis. Plant Physiology. 2002;129:661–677. [PMC free article] [PubMed]
16. Gu YQ, Yang C, Thara VK, Zhou J, Martin GB. Pti4 is induced by ethylene and salicylic acid, and its product is phosphorylated by the Pto kinase. Plant Cell. 2000;12:771–785. [PMC free article] [PubMed]
17. Verhage A, van Wees SC, Pieterse CM. Plant immunity: it's the hormones talking, but what do they say? Plant Physiol. 2010;154:536–540. [PMC free article] [PubMed]
18. Grant MR, Jones JD. Hormone (dis)harmony moulds plant health and disease. Science. 2009;324:750–752. [PubMed]
19. Glazebrook J. Contrasting mechanisms of defense against biotrophic and necrotrophic pathogens. Annual Review of Phytopathology. 2005;43:205–227. [PubMed]
20. Koornneef A, Pieterse CM. Cross talk in defense signaling. Plant Physiol. 2008;146:839–844. [PMC free article] [PubMed]
21. Koornneef A, Leon-Reyes A, Ritsema T, Verhage A, Den Otter FC, et al. Kinetics of salicylate-mediated suppression of jasmonate signaling reveal a role for redox modulation. Plant Physiol. 2008;147:1358–1368. [PMC free article] [PubMed]
22. Spoel SH, Johnson JS, Dong X. Regulation of tradeoffs between plant defenses against pathogens with different lifestyles. Proc Natl Acad Sci U S A. 2007;104:18842–18847. [PMC free article] [PubMed]
23. Kazan K, Manners JM. Jasmonate signaling: toward an integrated view. Plant Physiol. 2008;146:1459–1468. [PMC free article] [PubMed]
24. Brooks DM, Bender CL, Kunkel BN. The Pseudomonas syringae phytotoxin coronatine promotes virulence by overcoming salicylic acid-dependent defences in Arabidopsis thaliana. Mol Plant Pathol. 2005;6:629–639. [PubMed]
25. Katsir L, Schilmiller AL, Staswick PE, He SY, Howe GA. COI1 is a critical component of a receptor for jasmonate and the bacterial virulence factor coronatine. Proc Natl Acad Sci U S A. 2008;105:7100–7105. [PMC free article] [PubMed]
26. Berrocal-Lobo M, Molina A, Solano R. Constitutive expression of ETHYLENE-RESPONSE-FACTOR1 in Arabidopsis confers resistance to several necrotrophic fungi. Plant Journal. 2002;29:23–32. [PubMed]
27. Pré M, Atallah M, Champion A, De Vos M, Pieterse CM, et al. The AP2/ERF domain transcription factor ORA59 integrates jasmonic acid and ethylene signals in plant defense. Plant Physiol. 2008;147:1347–1357. [PMC free article] [PubMed]
28. Zarei A, Korbes AP, Younessi P, Montiel G, Champion A, et al. Two GCC boxes and AP2/ERF-domain transcription factor ORA59 in jasmonate/ethylene-mediated activation of the PDF1.2 promoter in Arabidopsis. Plant molecular biology. 2011;75:321–331. [PMC free article] [PubMed]
29. Kleinboelting N, Huep G, Kloetgen A, Viehoever P, Weisshaar B. GABI-Kat SimpleSearch: new features of the Arabidopsis thaliana T-DNA mutant database. Nucleic Acids Res. 2012;40:D1211–1215. [PMC free article] [PubMed]
30. Alonso JM, Stepanova AN, Leisse TJ, Kim CJ, Chen H, et al. Genome-wide insertional mutagenesis of Arabidopsis thaliana. Science. 2003;301:653–657. [PubMed]
31. Nawrath C, Heck S, Parinthawong N, Métraux JP. EDS5, an essential component of salicylic acid-dependent signaling for disease resistance in Arabidopsis, is a member of the MATE transporter family. Plant Cell. 2002;14:275–286. [PMC free article] [PubMed]
32. Penninckx IA, Thomma BP, Buchala A, Metraux JP, Broekaert WF. Concomitant activation of jasmonate and ethylene response pathways is required for induction of a plant defensin gene in Arabidopsis. The Plant cell. 1998;10:2103–2113. [PMC free article] [PubMed]
33. Laluk KaM T. Necrotroph attacks on plants: Wanton destruction or covert extortion? 2010. pp. 1–34. The Arabidopsis Book. [PMC free article] [PubMed]
34. Wehner N, Hartmann L, Ehlert A, Bottner S, Onate-Sanchez L, et al. High-throughput protoplast transactivation (PTA) system for the analysis of Arabidopsis transcription factor function. Plant J. 2011;68:560–569. [PubMed]
35. Son GH, Wan J, Kim HJ, Nguyen XC, Chung WS, et al. Ethylene-Responsive Element-Binding Factor 5, ERF5, Is Involved in Chitin-Induced Innate Immunity Response. Molecular plant-microbe interactions: MPMI. 2012;25:48–60. [PubMed]
36. van Wees SCM, Chang HS, Zhu T, Glazebrook J. Characterization of the early response of Arabidopsis to Alternaria brassicicola infection using expression profiling. Plant Physiology. 2003;132:606–617. [PMC free article] [PubMed]
37. Thomma BP, Eggermont K, Penninckx IA, Mauch-Mani B, Vogelsang R, et al. Separate jasmonate-dependent and salicylate-dependent defense-response pathways in Arabidopsis are essential for resistance to distinct microbial pathogens. Proceedings of the National Academy of Sciences of the United States of America. 1998;95:15107–15111. [PMC free article] [PubMed]
38. Mulema JM, Denby KJ. Spatial and temporal transcriptomic analysis of the Arabidopsis thaliana-Botrytis cinerea interaction. 2011. Molecular biology reports. [PubMed]
39. Camehl I, Sherameti I, Venus Y, Bethke G, Varma A, et al. Ethylene signalling and ethylene-targeted transcription factors are required to balance beneficial and nonbeneficial traits in the symbiosis between the endophytic fungus Piriformospora indica and Arabidopsis thaliana. New Phytologist. 2010;185:1062–1073. [PubMed]
40. Karimi M, Inzé D, Depicker A. GATEWAY™ vectors for Agrobacterium-mediated plant transformation. Trends in Plant Science. 2002;7:193–195. [PubMed]
41. Clough SJ, Bent AF. Floral dip: a simplified method for Agrobacterium-mediated transformation of Arabidopsis thaliana. Plant J. 1998;16:735–743. [PubMed]
42. Ülker B, Peiter E, Dixon DP, Moffat C, Capper R, et al. Getting the most out of publicly available T-DNA insertion lines. Plant Journal. 2008;56:665–677. [PubMed]
43. Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative PCR and the 2−ΔΔCT method. Methods. 2001;25:402–408. [PubMed]
44. Knight H, Mugford SG, Ülker B, Gao DH, Thorlby G, et al. Identification of SFR6, a key component in cold acclimation acting post-translationally on CBF function. Plant Journal. 2009;58:97–108. [PubMed]
45. Saal LH, Troein C, Vallon-Christersson J, Gruvberger S, Borg Å, et al. BioArray Software Environment (BASE): a platform for comprehensive management and analysis of microarray data. Genome Biology. 2002;3:-. [PMC free article] [PubMed]
46. Okamoto H, Gobel C, Capper RG, Saunders N, Feussner I, et al. The alpha-subunit of the heterotrimeric G-protein affects jasmonate responses in Arabidopsis thaliana. Journal of Experimental Botany. 2009;60:1991–2003. [PMC free article] [PubMed]
47. van Helden J. Regulatory sequence analysis tools. Nucleic Acids Res. 2003;31:3593–3596. [PMC free article] [PubMed]
48. Goda H, Sasaki E, Akiyama K, Maruyama-Nakashita A, Nakabayashi K, et al. The AtGenExpress hormone and chemical treatment data set: experimental design, data evaluation, model data analysis and data access. Plant J. 2008;55:526–542. [PubMed]
49. Winter D, Vinegar B, Nahal H, Ammar R, Wilson GV, et al. An “Electronic Fluorescent Pictograph” Browser for Exploring and Analyzing Large-Scale Biological Data Sets. Plos One. 2007;2:e718. [PMC free article] [PubMed]

Articles from PLoS ONE are provided here courtesy of Public Library of Science
PubReader format: click here to try

Formats:

Related citations in PubMed

See reviews...See all...

Cited by other articles in PMC

See all...

Links

Recent Activity

Your browsing activity is empty.

Activity recording is turned off.

Turn recording back on

See more...