Literature DB >> 28640975

NAC transcription factor JUNGBRUNNEN1 enhances drought tolerance in tomato.

Venkatesh P Thirumalaikumar1,2, Vikas Devkar1,2, Nikolay Mehterov2, Shawkat Ali3, Rengin Ozgur4, Ismail Turkan4, Bernd Mueller-Roeber1,2, Salma Balazadeh1,2.   

Abstract

Water deficit (drought stress) massively restricts plant growth and the yield of crops; reducing the deleterious effects of drought is therefore of high agricultural relevance. Drought triggers diverse cellular processes including the inhibition of photosynthesis, the accumulation of cell-damaging reactive oxygen species and gene expression reprogramming, besides others. Transcription factors (TF) are central regulators of transcriptional reprogramming and expression of many TF genes is affected by drought, including members of the NAC family. Here, we identify the NAC factor JUNGBRUNNEN1 (JUB1) as a regulator of drought tolerance in tomato (Solanum lycopersicum). Expression of tomato JUB1 (SlJUB1) is enhanced by various abiotic stresses, including drought. Inhibiting SlJUB1 by virus-induced gene silencing drastically lowers drought tolerance concomitant with an increase in ion leakage, an elevation of hydrogen peroxide (H2 O2 ) levels and a decrease in the expression of various drought-responsive genes. In contrast, overexpression of AtJUB1 from Arabidopsis thaliana increases drought tolerance in tomato, alongside with a higher relative leaf water content during drought and reduced H2 O2 levels. AtJUB1 was previously shown to stimulate expression of DREB2A, a TF involved in drought responses, and of the DELLA genes GAI and RGL1. We show here that SlJUB1 similarly controls the expression of the tomato orthologs SlDREB1, SlDREB2 and SlDELLA. Furthermore, AtJUB1 directly binds to the promoters of SlDREB1, SlDREB2 and SlDELLA in tomato. Our study highlights JUB1 as a transcriptional regulator of drought tolerance and suggests considerable conservation of the abiotic stress-related gene regulatory networks controlled by this NAC factor between Arabidopsis and tomato.
© 2017 The Authors. Plant Biotechnology Journal published by Society for Experimental Biology and The Association of Applied Biologists and John Wiley & Sons Ltd.

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Keywords:  zzm321990Arabidopsiszzm321990; zzm321990DELLAzzm321990; drought; reactive oxygen species; tomato; transcription factor

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Year:  2017        PMID: 28640975      PMCID: PMC5787828          DOI: 10.1111/pbi.12776

Source DB:  PubMed          Journal:  Plant Biotechnol J        ISSN: 1467-7644            Impact factor:   9.803


Introduction

Water deficit (drought) represents one of the most significant abiotic stresses limiting plant growth, development and productivity. Drought triggers several responses in plants including a cessation of shoot growth, the inhibition of the initiation of new leaves and the promotion of senescence in older leaves leading to a remarkable decrease in canopy size and crop yield (Degenkolbe et al., 2009; Harris et al., 2007; Martínez et al., 2007; Rivero et al., 2007). At the cellular level, drought stress triggers an excessive generation of reactive oxygen species (ROS), thereby affecting redox homeostasis and resulting in oxidative stress as evidenced by a decline in photosynthetic efficiency, severe cellular damage by peroxidation, reduced cell membrane stability, increased protein denaturation and leaf wilting (Benjamin and Nielsen, 2006; Choudhury et al., 2013, 2016; Cruz de Carvalho, 2008; Hanin et al., 2011). As sessile organisms, plants have evolved impressive strategies at molecular, biochemical, physiological and developmental levels to cope with, and adapt to, water deficit (Basu et al., 2016; Lata and Prasad, 2011; Li et al., 2014; Tamura et al., 2003). The coordinated regulation of gene expression represents one such sophisticated response to drought stress. Water deficit triggers a wide‐scale reprogramming of the transcriptome whereby transcription factors (TFs), and the gene regulatory networks (GRNs) they control, are of central importance (Chen et al., 2016; Joshi et al., 2016; Rabara et al., 2014; Todaka et al., 2015; Vermeirssen et al., 2014). NAC (NAM, ATAF and CUC) transcription factors are widespread in plants and the expression of many NAC genes is induced by abiotic and biotic stresses (Nakashima et al., 2012; Nuruzzaman et al., 2013; Shao et al., 2015). Over the last decade, various NAC TFs in different plant species, including crops, have been shown to be suitable tools for the improvement of plant responses to dehydration/drought stress. For example, in Arabidopsis thaliana, transgenic plants overexpressing ANAC019, ANAC055 or ANAC072/RD26 exhibit an enhanced expression of stress‐responsive genes and an improved tolerance to drought and salinity stress (Tran et al., 2004). All three NAC TFs interact with ZINC FINGER HOMEODOMAIN1 (ZFHD1), a TF transcriptionally induced by the phytohormone abscisic acid (ABA), drought and high salinity, bind to the promoter of EARLY RESPONSIVE TO DEHYDRATION STRESS1 (ERD1) and regulate the response to drought (Fujita et al., 2004; Nakashima et al., 1997; Tran et al., 2004, 2007). In addition, ANAC016 has recently been reported as a positive regulator of the plant′s response to drought stress in Arabidopsis (Sakuraba et al., 2015). Mutants lacking functional ANAC016 show a high tolerance to drought, while ANAC016 overexpressors are sensitive to drought and display accelerated senescence. ANAC016 suppresses the expression of ABA‐RESPONSIVE ELEMENT‐BINDING PROTEIN 1 (AREB1), a negative regulator of ABA signalling, but activates the expression of AtNAP, a NAC transcription factor mediating drought response by negatively regulating ABA signalling (Sakuraba et al., 2015; Zhang and Gan, 2012). In rice, overexpression of both SNAC3 (ONAC003) and OsNAC6 resulted in improved drought tolerance in transgenic plants (Fang et al., 2015; Nakashima et al., 2007). In barley (Hordeum vulgare), expression of the HvSNAC1 gene is induced by multiple stresses and transgenic plants overexpressing HvSNAC1 show improved drought tolerance (Al Abdallat et al., 2014). Tomato (Solanum lycopersicum L.) is an important vegetable fruit crop grown globally. Most tomato cultivars are susceptible to abiotic stresses such as drought. Under drought conditions, the growth of tomato plants is inhibited and fruit yield is significantly reduced (Foolad et al., 2003; Landi et al., 2016; Nuruddin et al., 2003; Qi et al., 2016). Therefore, the identification of genetic determinants of drought stress tolerance in tomato is an important task for agricultural development. Several NAC transcription factors are transcriptionally induced by drought in tomato, but only a few of them have been functionally characterized so far (Han et al., 2012; Liu et al., 2014; Wang et al., 2016; Zhu et al., 2014a). It has been shown that SINAC4, a MeJA (but not ABA)‐induced NAC, positively regulates the response of tomato plants to salt and drought stress (Zhu et al., 2014a). Transgenic SINAC4‐RNAi lines showed reduced tolerance to drought (and salt stress) and a reduced expression of stress‐related genes (Zhu et al., 2014a). SlNAC35 is another NAC TF from tomato that positively regulates the response to drought when overexpressed in tobacco (Nicotiana tabacum). SlNAC35 is a homologue of AtNAP from Arabidopsis. It has been shown recently that overexpression of SlNAC35 in tobacco results in better root growth and development under drought and salt stresses by affecting auxin signalling and the expression of several AUXIN RESPONSE FACTOR (ARF) genes (Wang et al., 2016). In contrast, SlSRN1 (Solanum lycopersicum stress‐related NAC1) appeared to be a negative regulator of oxidative and drought stress responses (Liu et al., 2014). Although the above‐mentioned NACs have been shown to regulate the response to drought stress in tomato, the underlying molecular mechanisms and stress‐related genes directly regulated by them are largely unknown. In this study, we investigated the function of the NAC transcription factor JUNGBRUNNEN1 (JUB1) for the response of tomato to drought stress. Previously, we showed that JUB1 (ANAC042) from Arabidopsis thaliana (hereafter, AtJUB1) functions as a central regulator of plant longevity and the interplay between growth and stress responses (Shahnejat‐Bushehri et al., 2016; Wu et al., 2012). We reported that AtJUB1 exerts its role in controlling the response to stress in part through dampening cellular hydrogen peroxide (H2O2) level. Notably, the intracellular level of H2O2 is significantly reduced in JUB1 overexpressors but enhanced in jub1‐1 knockdown plants (Wu et al., 2012). AtJUB1 mediates the interplay between ROS and stress responses by regulating functionally diverse target genes. For example, AtJUB1 directly activates expression of DREB2A (DEHYDRATION‐RESPONSIVE ELEMENT‐BINDING PROTEIN 2A) which encodes an AP2‐type TF involved in the regulation of drought and heat responses (Kant et al., 2008; Sakuma et al., 2006). In a transcription factor control cascade, DREB2A is an upstream regulator of Heat‐shock factor A2 (HsfA2) and thereby several HEAT‐SHOCK PROTEIN (HSP) genes and genes encoding H2O2 scavenging enzymes (Schramm et al., 2008; Yoshida et al., 2008). Furthermore, AtJUB1 directly represses the expression of genes encoding key enzymes of gibberellic acid (GA) and brassinosteroid (BR) biosynthesis; this reduces the levels of both growth hormones, thereby leading to the stabilization of DELLA proteins (Shahnejat‐Bushehri et al., 2016). Additionally, AtJUB1 directly binds to the promoters of DELLA (GAI and RGL1) genes and positively regulates their expression. DELLA proteins belong to the GRAS family of transcriptional regulators and are known as master repressors of growth. Moreover, accumulation of DELLA proteins promotes stress tolerance by restraining stress‐induced ROS accumulation (Achard et al., 2008a,b). The critical role of JUB1 in restraining ROS accumulation holds great promise for this TF as a candidate for genetic engineering of improved drought responses in crops. Here, we provide compelling evidence that JUB1 positively regulates the tolerance of tomato plants to drought. We demonstrate that tomato plants with reduced expression of SlJUB1 (Solanum lycopersicum JUB1; Solyc05G021090), the closest homologue to Arabidopsis AtJUB1, are more sensitive to drought than control plants and exhibit a higher level of oxidative stress. In contrast, transgenic tomatoes ectopically expressing AtJUB1 are more tolerant to stress and show reduced oxidative damage. Furthermore, we identified SlDREB1, SlDREB2 and SlDELLA as potential direct target genes of SlJUB1 during drought stress. This study highlights the role of the SlJUB1 transcription factor as a regulator of drought tolerance in tomato and suggests considerable conservation of the abiotic stress‐related gene regulatory network (GRN) controlled by JUB1 between Arabidopsis and tomato.

Results

Functional analysis of SlJUB1 in tomato

To study the role of JUB1 for the regulation of drought in tomato, we first investigated the tomato genome for the presence of JUB1 gene(s) using the Sol Genomics database (https://solgenomics.net/) employing the BLASTP algorithm. Solyc05G021090 (hereafter, SlJUB1) was identified as the closest homologue to AtJUB1 (62.6% similarity at the amino acid level). An amino acid sequence alignment of SlJUB1 with AtJUB1 and other known NAC proteins from tomato including SlNAC1 (Selth et al., 2005), SlNAC2 (Uppalapati et al., 2008), SlNAC3 (Han et al., 2012) and SlNAM (Blein et al., 2008) shows the presence of the conserved motifs A to E typical for the DNA‐binding domain of NAC transcription factors (Zhu et al., 2014b; Figure S1). To investigate the subcellular localization of SlJUB1, Nicotiana benthamiana leaves were transiently transformed with a 35S:SlJUB1‐GFP construct. Analysis using confocal microscope revealed strong GFP fluorescence in the nucleus, in accordance with the function of SlJUB1 as a TF (Figure 1a).
Figure 1

Sl encodes a nuclear protein and is induced by various abiotic stresses. (a) Confocal microscope image showing nuclear localization of SlJUB1‐GFP fusion protein upon transient expression in N. benthamiana leaf cells. Scale bar, 5 μm. (b–d) Sl expression upon treatment with (b) H2O2 (5 mm), (c) NaCl (200 mm), (d) PEG 6000 (20% [w/v]). Three‐week‐old tomato seedlings were subjected to the stress treatments and harvested at the time points indicated at the x‐axes. (e) Sl expression upon dehydration treatment. Terminal leaflets (of leaf 2) were detached and subjected to 2 h and 3 h of desiccation, respectively. Transcript levels were measured using qRT‐PCR; numbers at the y‐axis indicate fold change (FCh; log2 basis) compared to controls (unstressed plants). Data represent means ± SD (two independent biological replications with three technical replications per assay).

Sl encodes a nuclear protein and is induced by various abiotic stresses. (a) Confocal microscope image showing nuclear localization of SlJUB1‐GFP fusion protein upon transient expression in N. benthamiana leaf cells. Scale bar, 5 μm. (b–d) Sl expression upon treatment with (b) H2O2 (5 mm), (c) NaCl (200 mm), (d) PEG 6000 (20% [w/v]). Three‐week‐old tomato seedlings were subjected to the stress treatments and harvested at the time points indicated at the x‐axes. (e) Sl expression upon dehydration treatment. Terminal leaflets (of leaf 2) were detached and subjected to 2 h and 3 h of desiccation, respectively. Transcript levels were measured using qRT‐PCR; numbers at the y‐axis indicate fold change (FCh; log2 basis) compared to controls (unstressed plants). Data represent means ± SD (two independent biological replications with three technical replications per assay). To test whether SlJUB1 expression is affected by abiotic stresses, we subjected tomato (Solanum lycopersicum cv. Moneymaker) plants to various treatments and determined SlJUB1 expression by quantitative real‐time polymerase chain reaction (qRT‐PCR). Three‐week‐old tomato seedlings were subjected to H2O2 (5 mm) for 2 h and 6 h, polyethylene glycol (PEG) 6000 (20% [w/v]) for 1 and 2 days and salinity treatment (200 mm NaCl) for 4 h and 6 h and harvested for gene expression analysis. As shown in Figure 1b–d, expression of SlJUB1 was induced upon all these treatments. Furthermore, we subjected mature leaves (terminal leaflets of leaf number 2) to 2 h and 3 h of desiccation and analysed SlJUB1 expression. Expression of SlJUB1 was enhanced at both time points (Figure 1e) raising the possibility that SlJUB1 is involved in drought signalling.

Silencing of SlJUB1 results in reduced tolerance to water deprivation

To elucidate the possible involvement of SlJUB1 in the response to drought, we performed virus‐induced gene silencing (VIGS) using a tobacco rattle virus (TRV)‐based system (Liu et al., 2002) to reduce SlJUB1 mRNA levels in tomato leaves. To this end, tomato seedlings were infected with pTRV1 and recombinant pTRV2 constructs containing SlJUB1 and GUS (as control). SlJUB1‐silenced and control plants (hereafter, TRV2‐SlJUB1 and TRV2‐GUS, respectively) were then subjected to drought stress by withholding water. As shown in Figure 2a, TRV2‐SlJUB1 plants started to show some leaf wilting phenotype already after 3 days of drought and the phenotype became more severe after 7 days of drought when compared to the control plants. Electrolyte leakage measurements performed after 7 days of drought revealed a higher membrane damage in TRV2‐SlJUB1 than in TRV2‐GUS plants (Figure 2b). We also measured the transcript levels of SlJUB1 to verify specificity of the VIGS constructs. Transcript accumulation of SlJUB1 was significantly reduced in TRV2‐SlJUB1 plants compared to TRV2‐GUS plants during drought stress (Figure 2c). Next, fully expanded leaves (terminal leaflet of leaf number 2) of 3‐week‐old TRV2‐SlJUB1 and TRV2‐GUS plants were detached and subjected to desiccation. As shown in Figure 2d, leaves of TRV2‐SlJUB1 plants exhibited severe wilting symptoms after dehydration of 3 h. The cellular level of H2O2 detected by DAB staining was higher in SlJUB1‐silenced leaves (3 h after dehydration) than in pTRV2‐GUS leaves (Figure 2d). Accordingly, a higher ion leakage due to enhanced membrane damage was observed in leaves of pTRV2‐SlJUB1 than pTRV2‐GUS plants (Figure 2e). Water loss in terminal leaflets (leaf 2) analysed over a 6‐h period was significantly higher in SlJUB1‐silenced plants than control plants (Figure 2f).
Figure 2

Suppression of Sl leads to drought sensitivity in tomato. The role of Sl for drought sensitivity was assessed by VIGS. (a) Phenotypes of and (control) plants under control condition (well watered; left) and after drought stress (3 days: middle; 7 days: right). Note the more severe leaf wilting in the plant. (b) Ion leakage of and leaves (leaf no. 2, terminal leaflet) 7 days after start of the drought treatment. Data represent means ± SD (n = 3). (c) Endpoint PCR analysis of Sl expression in and plants after 3 days of drought stress. (d) Phenotypes of detached terminal leaflets from leaf no. 2 (left) and DAB staining for visualization of ROS accumulation (right) of (upper row) and plants (lower row) subjected to dehydration treatment for 3 h. (e) Ion leakage of and leaves after 10 h of dehydration treatment. (f) Water loss in detached leaves of (grey columns) and (black columns) plants. Data represent means ± SD (n = 3). Asterisk in panels (b), (e) and (f) represent statistically significant differences between and (Student's t‐test; P < 0.05). (g) Heatmap showing the fold change (log2 basis) difference in the expression of drought‐responsive genes and tomato orthologs of AtJUB1 direct target genes, compared between and plants after drought stress (2 h). Gene expression was determined by qRT‐PCR. Data represent the mean of two biological replications with three technical replications per assay.

Suppression of Sl leads to drought sensitivity in tomato. The role of Sl for drought sensitivity was assessed by VIGS. (a) Phenotypes of and (control) plants under control condition (well watered; left) and after drought stress (3 days: middle; 7 days: right). Note the more severe leaf wilting in the plant. (b) Ion leakage of and leaves (leaf no. 2, terminal leaflet) 7 days after start of the drought treatment. Data represent means ± SD (n = 3). (c) Endpoint PCR analysis of Sl expression in and plants after 3 days of drought stress. (d) Phenotypes of detached terminal leaflets from leaf no. 2 (left) and DAB staining for visualization of ROS accumulation (right) of (upper row) and plants (lower row) subjected to dehydration treatment for 3 h. (e) Ion leakage of and leaves after 10 h of dehydration treatment. (f) Water loss in detached leaves of (grey columns) and (black columns) plants. Data represent means ± SD (n = 3). Asterisk in panels (b), (e) and (f) represent statistically significant differences between and (Student's t‐test; P < 0.05). (g) Heatmap showing the fold change (log2 basis) difference in the expression of drought‐responsive genes and tomato orthologs of AtJUB1 direct target genes, compared between and plants after drought stress (2 h). Gene expression was determined by qRT‐PCR. Data represent the mean of two biological replications with three technical replications per assay. To reveal the molecular mechanism through which SlJUB1 exerts its role in the response to drought, we compared the expression of tomato orthologs of Arabidopsis drought‐responsive genes as well as of orthologs of Arabidopsis genes that are direct targets of AtJUB1 (DREB2A, GAI, GA3ox1 and DWF4) in TRV2‐SlJUB1 and TRV2‐GUS plants at 2 h of dehydration. Our results revealed that expression of several drought‐responsive genes was reduced in leaves of TRV2‐SlJUB1 compared to TRV2‐GUS plants (Figure 2g). Among the tomato orthologs of AtJUB1 target genes, expression of SlDREB1 (Solyc06g050520), SlDREB2 (Solyc05g052410) and SlDELLA (Solyc11g011260) was reduced in TRV2‐SlJUB1 compared to TRV2‐GUS upon dehydration. We next searched 1‐kb promoter regions of the down‐regulated genes for the presence of the core JUB1 binding site (based on knowledge from Arabidopsis; Wu et al., 2012). Among those, SlDREB1, SlDREB2 and SlDELLA harbour the AtJUB1 binding site in the promoter regions (Figure 3a) raising the possibility of direct interactions. We next employed electrophoretic mobility shift assays (EMSA) to test for physical interaction of SlJUB1 with the respective promoter sequences of SlDREB1, SlDREB2 and SlDELLA. Retardation bands seen in Figure 3b indicate that SlJUB1 specifically interacts with the promoter sequences of all three genes. This interaction is significantly reduced when unlabelled promoter fragments (competitors) are added in excess. Expression of SlDREB1, SlDREB2 and SIDELLA was also significantly reduced in TRV2‐SlJUB1 compared to TRV2‐GUS when the plants were subjected to water withholding for 3 days (Figure 3c). Collectively, our data suggest that SlJUB1 is a regulator of the response to drought stress in tomato acting upstream of SlDREB1, SlDREB2 and SlDELLA.
Figure 3

SlJUB1 binds to the promoters of Sl and Sl. (a) Schematic representation of the position of the AtJUB1 binding sites in the promoters of Sl and Sl (relative to the translation start codon; numbers indicate the start position of the binding sites). Binding sites are located on the forward strand in the case of Sl and Sl, and on the reverse strand in the case of Sl. (b) EMSA showing binding of SlJUB1 to Sl and Sl promoter regions harbouring the JUB1 binding site; 1, labelled probe (5′‐DY682‐labelled double‐stranded oligonucleotide) only; 2, labelled probe plus SlJUB1‐GST protein; 3, labelled probe, SlJUB1‐GST protein and 100× competitor DNA (unlabelled oligonucleotide containing SlJUB1 binding site). (c) Transcript levels of Sl and Sl in plants 3 days after water withholding compared with . Expression was analysed by qRT‐PCR. Data represent the means of three independent experiments.

SlJUB1 binds to the promoters of Sl and Sl. (a) Schematic representation of the position of the AtJUB1 binding sites in the promoters of Sl and Sl (relative to the translation start codon; numbers indicate the start position of the binding sites). Binding sites are located on the forward strand in the case of Sl and Sl, and on the reverse strand in the case of Sl. (b) EMSA showing binding of SlJUB1 to Sl and Sl promoter regions harbouring the JUB1 binding site; 1, labelled probe (5′‐DY682‐labelled double‐stranded oligonucleotide) only; 2, labelled probe plus SlJUB1‐GST protein; 3, labelled probe, SlJUB1‐GST protein and 100× competitor DNA (unlabelled oligonucleotide containing SlJUB1 binding site). (c) Transcript levels of Sl and Sl in plants 3 days after water withholding compared with . Expression was analysed by qRT‐PCR. Data represent the means of three independent experiments.

Tomato plants ectopically expressing AtJUB1 are more tolerant to drought

To further investigate the association of JUB1 with drought tolerance in tomato, we analysed the phenotypes of tomato plants ectopically expressing AtJUB1. These plants were generated by transforming a DNA cassette containing the coding sequence of AtJUB1 fused to GFP, driven by the cauliflower mosaic virus (CaMV) 35S promoter, into the tomato genome (Solanum lycopersicum cv. Moneymaker). Different transgenic lines with high and moderate expression of AtJUB1 were obtained (Shahnejat‐Bushehri et al., 2017). Transgenic tomato lines with high levels of AtJUB1 expression revealed growth‐restricted phenotypes associated with GA and BR deficiencies (such as smaller shoots, smaller leaves and short petioles), similar to Arabidopsis AtJUB1 overexpressors (Shahnejat‐Bushehri et al., 2016, 2017), while the lines with moderate expression of AtJUB1 (hereafter, OX1 and OX3) showed marginal differences in growth and morphology compared to wild‐type (MM) plants. Given the relationship between transpiration rate and the area, shape and surface characteristics of leaves (Alpert, 2006), only moderately overexpressing AtJUB1 plants (OX1 and OX3) were used for the analysis of drought responses in this study. To this end, 42‐day‐old OX and MM plants were subjected to water deprivation for up to 21 days. As shown in Figure 4a and Figure S2 OX plants exhibited higher tolerance to water‐deficit stress (delayed leaf wilting) than wild‐type plants (MM) at all indicated time points. Measurements of relative water content (RWC) in leaf tissues revealed no significant difference between OX and MM plants at control condition (0 day) and at early stage of drought (7 days), while at later stages of drought (14 days) higher RWC was observed in OX compared to MM plants (Figure 4b).
Figure 4

Ectopically expressed At in tomato confers tolerance to water deprivation. (a) Phenotype of At‐expressing () and wild‐type tomato cv. Moneymaker (MM) plants under well‐watered control (left) and water‐deficit conditions (right): 42‐day‐old plants were subjected to drought for 7, 14 and 21 days. Note the more severe wilting in MM plants. (b) Relative water content of terminal leaflets (leaf no. 2) of MM and plants measured during drought treatment. Data represent the means ± SD (n = 4 independent experiments). (c) Shoot fresh weight of MM and plants after 21 days of drought. (d) Malondialdeyhde (MDA) content of MM and plants during water deprivation. (e) Wilting phenotype and DAB staining for ROS accumulation in detached leaves of MM and plants, 10 h after start of the dehydration treatment. (f) Percent water loss in detached leaves of MM and plants. Data in (c), (d) and (f) represent the means ± SD (n = 3). Asterisks (*) indicate statistically significant differences between MM and according to Student's t‐test (P < 0.05).

Ectopically expressed At in tomato confers tolerance to water deprivation. (a) Phenotype of At‐expressing () and wild‐type tomato cv. Moneymaker (MM) plants under well‐watered control (left) and water‐deficit conditions (right): 42‐day‐old plants were subjected to drought for 7, 14 and 21 days. Note the more severe wilting in MM plants. (b) Relative water content of terminal leaflets (leaf no. 2) of MM and plants measured during drought treatment. Data represent the means ± SD (n = 4 independent experiments). (c) Shoot fresh weight of MM and plants after 21 days of drought. (d) Malondialdeyhde (MDA) content of MM and plants during water deprivation. (e) Wilting phenotype and DAB staining for ROS accumulation in detached leaves of MM and plants, 10 h after start of the dehydration treatment. (f) Percent water loss in detached leaves of MM and plants. Data in (c), (d) and (f) represent the means ± SD (n = 3). Asterisks (*) indicate statistically significant differences between MM and according to Student's t‐test (P < 0.05). Shoot biomass after 21 days of water withholding was higher in OX than in MM plants (Figure 4c). The content of malondialdeyhde (MDA), a marker of lipid peroxidation, was drastically elevated in MM plants, but not in the OX plants, at the later stages of drought (14 and 21 days) (Figure 4d). Next, we quantified the activities of several enzymatic antioxidants (ascorbate peroxidase, APX; peroxidase, POX; glutathione reductase, GR; monodehydroascorbate reductase, MDHAR; and dehydroascorbate reductase, DHAR) in MM and OX tomato plants under control (nonstress) and drought (7, 14 and 21 days) conditions. Of those, the activities of APX and POX increased with plant age (control condition) in MM, but no significant change was observed in OX plants (Figure S3). Activities of all measured enzymes increased with the progression of drought (after 14 and 21 days) in both genotypes; however, this induction was less dramatic in OX than in MM plants (Figure S3). This result is in accordance with higher H2O2 and MDA contents and thus the enhanced level of oxidative stress in MM plants at advanced stages of drought. The response of plants to water deficit includes a reduction in transpiration and thus loss of water vapour from leaves. To analyse the rate of water loss in OX and MM plants, subterminal leaflets of leaf no. 2 were detached and analysed over a 10‐h period. Notably, while MM leaves showed extensive wilting after 10 h of desiccation, leaves of OX plants showed only slight wilting (Figure 4e). In accordance with this, the rate of water loss was higher in MM than in OX plants (Figure 4f). Consequently, a lower level of H2O2 was observed in detached leaves of OX after 10 h of desiccation (Figure 4e). Similar results were obtained when OX and MM plants at a younger developmental stage (21 days old) were subjected to water deprivation (Figure S4). We also examined AtJUB1 overexpression plants under polyethylene glycol (PEG)‐triggered water‐deficit condition. To this end, 42‐day‐old OX and MM plants were irrigated with 25% PEG 6000 for a period of 7 days, while irrigation with water was used in control experiments. As demonstrated in Figure S5, AtJUB1 overexpressors better survive PEG irrigation, whereas MM plants show severe wilting and chlorosis after 7 days of PEG treatment. In accordance with this, MDA content was elevated (~threefold) in MM compared to OX plants. Taken together, our results strongly suggest that JUB1 functions as a positive regulator in the response to drought stress in tomato.

AtJUB1 directly activates transcription of SlDREB1, SlDREB2 and SlDELLA upon water deprivation

To test whether AtJUB1 regulates drought stress by activating potential target genes of SlJUB1 (SlDREB1, SlDREB2 and SlDELLA), we checked the expression of the three genes in AtJUB1‐OX and MM plants after 7 days of withholding water. Our results confirmed slight elevation of SlDREB2 transcript abundance in OX compared to MM, but a significant induction in expression levels of SlDREB1 and SlDELLA (Figure 5a). Next, we conducted EMSA experiments to dissect direct physical interaction between AtJUB1 and the promoter regions of the target genes. Results exhibit that AtJUB1, like SlJUB1, binds to the JUB1 binding motifs in the promoter regions of SlDREB1, SlDREB2 and SlDELLA. Interaction appears to be specific, as retardation bands are abolished upon the addition of unlabelled promoter fragments (competitor) in excess (Figure 5b). Finally, we performed chromatin immunoprecipitation (ChIP) assays to determine the direct interaction between AtJUB1 and the promoters of SlDREB1, SlDREB2 and SlDELLA upon drought stress (7 days) in planta. ChIP assay followed by qPCR revealed binding of AtJUB1 to the promoters of the three genes (Figure 5c) suggesting them as direct target genes of JUB1 during drought stress in tomato.
Figure 5

AtJUB1 directly regulates Sl and Sl. (a) Expression of Sl, Sl and Sl in MM and At () plants upon 7 days of withholding water. Expression was analysed by qRT‐PCR. Values were normalized to those determined in the well‐watered controls. Data represent the means ± SD (n = 3). Asterisks represent statistically significant differences between MM and plants according to Student's t‐test (P < 0.05). (b) EMSA showing binding of AtJUB1 to Sl and Sl promoter regions harbouring the AtJUB1 binding site; 1, labelled probe (5′‐DY682‐labelled double‐stranded oligonucleotides) only; 2, labelled probe plus AtJUB1‐GST protein; 3, labelled probe, AtJUB1‐GST protein and 100× competitor (unlabelled oligonucleotide containing SlJUB1 binding site); 4, labelled probe plus GST protein. (c) ChIP‐qPCR shows enrichment of Sl and Sl promoter regions containing the AtJUB1 binding site. For ChIP experiments, terminal leaflets (from leaf no. 2) of At tomato plants were harvested after drought treatment (7 days). Values were normalized to the values for Solyc01G090460 (promoter lacking an AtJUB1 binding site). qPCR was used to quantify the enrichment of Sl and Sl promoter regions. Data represent means ± SD (n = 3). FC, fold change.

AtJUB1 directly regulates Sl and Sl. (a) Expression of Sl, Sl and Sl in MM and At () plants upon 7 days of withholding water. Expression was analysed by qRT‐PCR. Values were normalized to those determined in the well‐watered controls. Data represent the means ± SD (n = 3). Asterisks represent statistically significant differences between MM and plants according to Student's t‐test (P < 0.05). (b) EMSA showing binding of AtJUB1 to Sl and Sl promoter regions harbouring the AtJUB1 binding site; 1, labelled probe (5′‐DY682‐labelled double‐stranded oligonucleotides) only; 2, labelled probe plus AtJUB1‐GST protein; 3, labelled probe, AtJUB1‐GST protein and 100× competitor (unlabelled oligonucleotide containing SlJUB1 binding site); 4, labelled probe plus GST protein. (c) ChIP‐qPCR shows enrichment of Sl and Sl promoter regions containing the AtJUB1 binding site. For ChIP experiments, terminal leaflets (from leaf no. 2) of At tomato plants were harvested after drought treatment (7 days). Values were normalized to the values for Solyc01G090460 (promoter lacking an AtJUB1 binding site). qPCR was used to quantify the enrichment of Sl and Sl promoter regions. Data represent means ± SD (n = 3). FC, fold change.

Discussion

Transcription factor‐based engineering has been used as a powerful tool for improving stress tolerance in crops. Water deficit (drought) is one of the most adverse factors impacting plant growth and fitness. Several studies have shown that manipulation of drought‐responsive TFs can result in drought‐tolerant phenotypes in different crop species (reviewed by Rabara et al., 2014; Nakashima et al., 2014). Tomato is a one the most important vegetable food crops worldwide. Although most tomato cultivars are drought sensitive, only few studies have so far been conducted to investigate the molecular regulatory networks involved in the response to water limitation in this plant. Transcriptome analyses have identified a number of TFs that are responsive to drought in tomato (Gong et al., 2010; Krasensky and Jonak, 2012). Functional analysis of such TFs and identifying their signalling pathways are important steps in elucidating drought response networks in tomato. In this study, we identified SlJUB1, a homologue of the Arabidopsis NAC transcription factor JUNGBRUNNEN1 (JUB1), as a regulator of the response to drought stress in tomato and revealed its use as a tool to improve drought tolerance (Figure 6). SlJUB1 expression is strongly induced upon treatment with H2O2, NaCl, PEG and dehydration, indicating a role for this TF in the regulation of abiotic stress response networks in tomato. Using a VIGS approach in Solanum lycopersicum cv. Moneymaker, we showed that a reduced level of SlJUB1 impairs the water‐deficit response of both intact plants and detached leaves. Silencing of SlJUB1 (TRV2‐SlJUB1) resulted in oxidative damage evidenced by accumulation of H2O2, and enhanced water loss under water‐limiting conditions (Figure 2d and f). Conversely, tomato plants ectopically and moderately expressing AtJUB1 (AtJUB1‐OX) exhibited enhanced tolerance to water deficit without a significant penalty on growth. The intracellular level of H2O2 as well as water loss was significantly reduced during drought stress in tomato plants expressing AtJUB1 (Figure 4e and f), indicating that JUB1 is a positive regulator of the response to drought in tomato.
Figure 6

Model for the action of JUNGBRUNNEN1 (JUB1) in conferring tolerance to drought in tomato. Water deprivation triggers elevated expression of Sl, which leads to activation of and the stress‐related genes and . This, together with reduced ROS levels, increases drought tolerance.

Model for the action of JUNGBRUNNEN1 (JUB1) in conferring tolerance to drought in tomato. Water deprivation triggers elevated expression of Sl, which leads to activation of and the stress‐related genes and . This, together with reduced ROS levels, increases drought tolerance. We have previously shown that Arabidopsis JUB1 restricts plant growth and enhances tolerance to abiotic stresses by affecting multiple and interconnected cellular pathways involved in phytohormone biosynthesis/signalling and ROS signalling (Shahnejat‐Bushehri et al., 2016; Wu et al., 2012). AtJUB1 directly represses genes that are critical for GA and BR biosynthesis (GA3ox1 and DWF4, respectively), while it directly activates the DELLA‐encoding genes GAI and RGL1, thereby leading to the accumulation of DELLA proteins. Furthermore, AtJUB1 directly targets and activates expression of DREB2A, a key transcription factor for the regulation of drought and heat responses in Arabidopsis (Kant et al., 2008; Sakuma et al., 2006; Wu et al., 2012). Transcript analysis revealed that several drought‐responsive genes were differentially expressed between TRV2‐SlJUB1, AtJUB1‐OX and control tomato plants upon drought stress. Interestingly, among those, transcript levels of SlDREB1 and SlDREB2, homologues of Arabidopsis DREB2A, and of SlDELLA, a homologue of Arabidopsis GIBBERELLIC ACID INSENSITIVE (GAI), were significantly reduced in TRV2‐SlJUB1 (Figures 2g and 3c), while SlDREB1 and SlDELLA were enhanced in AtJUB1‐OX compared to control plants during drought stress (Figure 5a). However, transcript levels of GA and BR biosynthesis genes were not different between TRV2‐SlJUB1 and AtJUB1‐OX plants during water deficit (data not shown). By EMSA and ChIP, we demonstrated that AtJUB1 directly interacts with SlDREB1, SlDREB2 and SlDELLA promoters and regulates their transcription in planta (Figure 5b,c). Furthermore, EMSA experiments revealed binding of tomato SlJUB1 to the promoters of SlDREB1, SlDREB2 and SlDELLA raising the possibility that they may be direct SlJUB1 target genes (Figure 5b). Taken together, these results indicate that the function of JUB1 and the stress regulatory network controlled by this TF is considerably conserved between Arabidopsis and tomato. SlDREB1 and SlDREB2, the putative target genes of SlJUB1, are two homologues of DREB2‐type TFs in tomato. DREB (dehydration‐responsive element‐binding) proteins constitute a subfamily of the plant‐specific AP2/ERF TF family. They interact with DRE/CRT (dehydration‐responsive element/C‐repeat element) cis‐elements present in the promoters of target genes and regulate plant responses to diverse abiotic stresses, particularly cold and drought. DREB genes from several species have been reported to be functionally involved in the regulation of plant responses to drought. These include Arabidopsis DREB1A and DREB2A (Kudo et al., 2016; Yamaguchi‐Shinozaki and Shinozaki, 2006), soya bean GmDREB2 (Chen et al., 2007) and GmERF3 (Zhang et al., 2009), tomato JERF1 (Zhang et al., 2010) and SIERF5 (Pan et al., 2012) and apple MsDREB6.2 (Liao et al., 2016), among others. SlDREB1 and SlDREB2 are homologous to Arabidopsis DREB2A (53.1% and 44.9% similarity at the amino acid level), an important TF regulating drought responses (Yamaguchi‐Shinozaki and Shinozaki, 2006). DREB2A expression is negatively regulated by GROWTH‐REGULATING FACTOR 7 (GRF7), but positively regulated by JUB1 in Arabidopsis (Kim et al., 2011; Wu et al., 2012; Yoshida et al., 2014). Overexpression of constitutively active DREB2A resulted in growth retardation and significant drought stress tolerance (Sakuma et al., 2006). It has been shown that SlDREB2 also regulates general plant growth and the response to salinity stress. Overexpression of SlDREB2 in tomato resulted in a semi‐dwarf phenotype associated with a reduced level of physiologically active gibberellic acids (GAs) (Hichri et al., 2016). SlDREB2 overexpression significantly enhances tolerance to salinity by affecting multiple cellular processes such as, inter alia, enhanced synthesis of osmoprotectants, accumulation of abscisic acid (ABA) and the regulation of stress‐responsive genes (Hichri et al., 2016). However, the functions of SlDREB1 and SlDREB2 in the response to drought stress in tomato remain to be characterized, although the homology to DREB2A from Arabidopsis suggests similarity in function. To respond to, and resist, water deficit, plants have evolved various strategies enabling them to integrate activities at the whole‐plant level. These strategies may involve drought avoidance and/or the development of drought tolerance mechanisms. Drought avoidance is accompanied by changes in organ morphology such as a reduction in leaf area which may be accompanied by stomatal closure as well as changes in root thickness or length (Anjum et al., 2011; Reddy et al., 2004), whereas drought tolerance includes maintaining cell turgor and reducing evaporative water loss by accumulating compatible solutes without disruption of cellular metabolism (Munns, 1988; Price et al., 2002; Savé et al., 1993; Yancey et al., 1982). Constitutively high overexpression of AtJUB1 in both Arabidopsis and tomato results in significant growth reduction and reduced leaf area as a consequence of GA and brassinosteroid (BR) deficiencies (Shahnejat‐Bushehri et al., 2016, 2017). These plants are expected to better ‘avoid’ drought, for example through the reduced evaporative leaf surface. To test whether JUB1 is also involved in the regulation of drought tolerance, we analysed tomato plants moderately expressing AtJUB1 (OX1 and OX3) which only marginally affects growth. The plants showed significantly higher survival than wild type and less water loss during drought, suggesting that in addition to the reduction in growth and leaf surface area, JUB1 employs other mechanisms to allow plants to cope with water deficit. However, by analysing nail polish imprints of the abaxial leaf surface, we did not observe an obvious difference in stomatal aperture between wild‐type and AtJUB1 overexpression plants and primary root length was also not significantly different between both types of plants during drought (data not shown). Accumulation of reactive oxygen species (ROS) due to enhanced ROS production and/or reduced ROS scavenging capacity are the inevitable consequences of drought stress. Although ROS can act as signal molecules, elevated levels of ROS cause oxidative damage to essentially all cellular components including membranes, proteins and nucleic acids, thereby causing metabolic dysfunction and cell death. Manipulating ROS levels may thus represent a promising strategy to improve stress tolerances of crop plants under a variety of unfavourable environmental conditions. Indeed, it has been demonstrated that several genes, including TFs, mediate abiotic stress resistance through the regulation of cellular ROS levels (reviewed by You and Chan, 2015). Here, we demonstrated that decreased expression of SlJUB1 (in VIGS‐silenced plants) increased the accumulation of H2O2 and, accordingly, resulted in oxidative damage of cell membranes and reduced tolerance to drought stress. In contrast, heterologous expression of AtJUB1 lowered H2O2 level, resulting in enhanced tolerance to drought stress. A similar function has recently been reported for JUB1 in banana (Musa acuminata). Banana plants overexpressing MusaNAC042 (the closest homologue of AtJUB1 in this species) exhibit significantly reduced stress‐induced oxidative damage evidenced by a lower level of MDA (as observed here for AtJUB1 overexpressing tomato plants) and a higher photosynthetic activity. In addition, proline, a likely important osmoprotectant in plants (Ashrafa and Fooladb, 2007), accumulated in MusaNAC042 overexpressors compared to control plants, concomitant with an improved tolerance to drought and high salinity stress (Tak et al., 2016). Of note, elevated levels of proline, in addition to the osmoprotectant trehalose, were also detected in tissues of Arabidopsis and tomato AtJUB1 overexpressors (Shahnejat‐Bushehri et al., 2017; Wu et al., 2012), suggesting that compatible solute osmolytes contribute to the enhanced drought tolerance in these plants in accordance with the important role of osmotic adjustment during drought conditions (Blum, 2017). In Arabidopsis, JUB1 has been shown to dampen the intracellular level of H2O2 via direct activation of DREB2A, which in a regulatory cascade is upstream of genes encoding several HSPs and H2O2 scavenging enzymes, as well as through a direct activation of DELLA‐encoding genes thereby triggering the accumulation of DELLA proteins. In Arabidopsis, it has been demonstrated that DELLA proteins restrain plant growth and promote survival under abiotic stress conditions via an enhancement of ROS scavenging capacity (Achard et al., 2008b). Similar to Arabidopsis, our data reported here suggest that reduced levels of H2O2 are likely due to the activation of SlDREB1, SlDREB2 and SlDELLA by SlJUB1 in tomato. Collectively, our findings and those reported by Tak et al. (2016) on banana suggest that JUNGBRUNNEN1 can be employed to enhance drought tolerance in both dicot and monocot species including crops. The potential effect of JUB1 expression on organ growth (Shahnejat‐Bushehri et al., 2016) can be avoided by selecting lines expressing JUB1 at a moderate level (as we did here for tomato), or by driving expression of JUB1 from abiotic stress‐inducible promoters such as previously shown for AtJUB1 in Arabidopsis (Shahnejat‐Bushehri et al., 2016; Wu et al., 2012).

Experimental procedures

General

Oligonucleotides (Table S1) were obtained from Eurofins MWG Operon (Ebersberg, Germany). PLAZA 3.0 (http://bioinformatics.psb.ugent.be/plaza/; Proost et al., 2015) and the Sol Genomics webpage (https://solgenomics.net/) were employed for the identification of tomato orthologs.

Plant materials, growth conditions

Solanum lycopersicum L. cv. Moneymaker (MM) was used as the wild type (control) in all experiments. To generate lines overexpressing AtJUB1, tomato plants were transformed with the AtJUB1‐GFP overexpression construct (Wu et al., 2012). Seeds were germinated on Murashige–Skoog (MS) medium containing 2% (w/v) sucrose and then transferred to soil containing a mixture of potting soil and quartz sand (2:1, v/v) and grown in a growth chamber at 500 μmol photons/m2/s and 25 °C under a 14/10‐h light/dark regime as described previously (Schauer et al., 2005). All plants were watered in the same way using a drip irrigation system.

Stress treatments

For stress treatments, seeds were germinated on full‐strength MS medium containing 2% (w/v) sucrose and grown under a 16‐h light (23 °C)/8‐h dark (20 °C) regime. Three‐week‐old uniformly sized seedlings were transferred to liquid MS medium in flasks containing polyethylene glycol (20% [w/v] PEG 6000), H2O2 (5 mm) or NaCl (200 mm). For desiccation, terminal leaflets (from leaf no. 2) were detached and subjected to air‐drying for the indicated time points. Tomato plants grown in soil were well irrigated for 42 days after germination (DAG) before stress treatments. In each experiment, fifteen plants per genotype were used for the treatments. Drought stress was induced by withholding water for up to 21 days. PEG‐mediated drought stress was applied by irrigating plants with 25% (w/v) PEG 6000water for 7 days. Control plants were well watered throughout the experiment. All stress treatment experiments were performed in three independent trials.

Virus‐induced gene silencing

VIGS (virus‐induced gene silencing) was performed using VIGS vectors pTRV1 (pYL192) and pTRV2 (pYL170) (Liu et al., 2002). pTRV2‐attL2‐SlJUB1‐attL1: the SlJUB1 coding sequence was amplified by PCR from Solanum lycopersicum cv. Moneymaker leaf cDNA and cloned into pENTR‐D‐TOPO using pENTR Directional TOPO Cloning kit (Invitrogen, Karlsruhe, Germany). Primer sequences are given in Table S1. The sequence‐verified entry clone was then recombined into pTRV2 by LR recombination using LR reaction mix II (Life Technologies, Karlsruhe, Germany). pTRV1 and pTRV2‐attL2‐SlJUB1‐attL1 were transformed into Agrobacterium tumefaciens (strain GV3101) and subsequently used for the infection of tomato seedlings (Senthil‐Kumar and Mysore, 2014).

Subcellular localization of SlJUB1

The SlJUB1 coding sequence (without stop codon) was amplified by PCR from S. lycopersicum cv. Moneymaker leaf cDNA (primers listed in Table S1) and cloned into pDONR 207 using BP clonase (Invitrogen). The sequence‐confirmed entry vector was recombined into pK7FWG2 (Karimi et al., 2002) using LR reaction mix II (Life Technologies). The recombined plasmid (35S:SlJUB1‐GFP) was transformed into Agrobacterium tumefaciens (strain GV3101) and then used for infiltration of N. benthamiana leaves (Senthil‐Kumar and Mysore, 2014). GFP signal was analysed using a Leica DM6000B/SP5 confocal laser scanning microscope (Leica Microsystems, Wetzlar, Germany).

Relative water content

Relative water content of leaves was determined as described (Wang et al., 2015). Briefly, terminal leaflets of leaf no. 2 were harvested and weighed immediately to determine their fresh weight (FW). Subsequently, leaves were immersed in distilled water and incubated at 4 °C overnight to obtain the saturated weight (SW). Leaves were then dried at 60 °C for 48 h to measure the dry weight (DW). RWC was calculated using the formula RWC % = ((FW−DW)/(SW‐DW)) × 100.

Water loss

Water loss was determined as reported (Raineri et al., 2015). In brief, detached terminal leaflets (leaf no. 2) were placed in a growth chamber at 20–22 °C. Leaf weight was recorded at time points indicated in the figures and expressed as percentage of the initial fresh weight.

Ion leakage

Terminal leaflets of leaf no. 2 were immersed in 40 mL deionized water and shaken at room temperature for 8 h. Initial electrical conductivity was measured at 25 °C using a conductometer (SI Analytics, Mainz, Germany). Thereafter, samples were boiled at 100 °C for 30 min and left at room temperature until 25 °C was reached, and total conductivity was measured again. Ion leakage is expressed as the percentage of initial conductivity of the total conductivity; low and high percentage values indicate little or strong membrane damage, respectively.

Quantification of MDA and 3,3′‐diaminobenzidine staining

Lipid peroxidation was assessed by measuring malondialdeyhde (MDA) levels (Hodges et al., 1999). 3,3′‐Diaminobenzidine (DAB) was used as an indicator of H2O2 levels (Fryer et al., 2002).

Enzyme measurements

Samples were ground to a fine powder in liquid nitrogen and 0.1 g powder was homogenized in 500 μL of 50 mm Tris–HCl, pH 7.8, containing 0.1 mm EDTA, 0.1% (w/v) Triton X‐100 and 1% (w/v) polyvinylpolypyrrolidone (PVPP). For the determination of APX activity, 5 mm ascorbate was added. Samples were centrifuged at 10 000 g for 10 min, and supernatants were used for measurements. Spectrophotometric analyses were conducted using a Shimadzu UV‐1700 spectrophotometer. POX (EC 1.11.1.7) activity was determined following the method of Herzog and Fahimi (1973). The increase in the absorbance at 465 nm due to oxidation of diaminobenzidine (DAB) was followed for 1 min. One unit of POX activity was defined as 1 μmol H2O2 decomposed in 1 min. GR (EC 1.6.4.2) activity was measured according to Foyer and Halliwell (1976). Activity was calculated using the extinction coefficient of NADPH at 340 nm (6.2 mm −1 cm−1). One unit of GR was defined as 1 μmol GSSG reduced in 1 min. APX (EC 1.11.1.11) activity was measured according to Nakano and Asada (1981). The assay depends on the decrease in absorbance at 290 nm as ascorbate is oxidized. MDHAR (EC 1.6.5.4) activity was determined according to Arrigoni et al. (1981); NADH oxidation by MDHAR was observed in the presence of ascorbate oxidase (1 U) at 340 nm. DHAR (EC 1.8.5.1) was measured based on the method described by Nakano and Asada (1981). The increase in the absorbance at 265 nm was recorded.

Expression profiling

Total RNA extraction, cDNA synthesis and qRT‐PCR were performed as described (Balazadeh et al., 2008). Arabidopsis drought marker genes were extracted from the literature (Sakuraba et al., 2015) and in‐house experiments. ROS‐responsive genes were extracted from Gechev et al. (2004), Gechev and Hille (2005) and Wu et al. (2012). Tomato orthologs of the Arabidopsis genes were identified using PLAZA 3.0 and annotated using the Sol Genomics database. qRT‐PCR primers (Table S1) were designed using QuantPrime (Arvidsson et al., 2008). PCRs were run on an ABI‐PRISM 7900 HT sequence detection system (Applied Biosystems, Darmstadt, Germany), and amplification products were visualized using SYBR Green (Applied Biosystems). SlGAPDH (GLYCERALDEHYDE PHOSPHATE DEHYDROGENASE; Solyc04g009030) served as reference gene for data analysis.

Chromatin immunoprecipitation

Tomato leaves expressing AtJUB1‐GFP protein under the control of the cauliflower mosaic virus (CaMV) 35S promoter were used to perform chromatin immunoprecipitation (ChIP). ChIP was performed according to Kaufmann et al. (2010). Primers used to amplify the promoter regions of SlDREB1, SlDREB2 and SlDELLA containing JUB1 binding sites are listed in Table S1. Primers annealing to the promoter of gene Solyc01G090460, lacking a JUB1 binding site, were used as negative control.

Electrophoretic mobility shift essay

Recombinant AtJUB1‐GST, SlJUB1‐GST and GST proteins were prepared as described (Puranik et al., 2011). AtJUB1 and SlJUB1 coding sequences were PCR‐amplified from Arabidopsis or tomato cDNA, respectively, using primers listed in Table S1. PCR products were GATEWAY‐recombined into pDEST24 destination vector (Invitrogen). Recombinant vectors were transformed into Escherichia coli Star (DE3) pRARE generated by transforming the pRARE plasmid isolated from Rosetta (DE3) pRARE cells (Merck, Darmstadt, Germany) into E. coli BL21 Star (DE3) (Invitrogen). Recombinant GST fusion proteins were purified using glutathione agarose beads (Sigma‐Aldrich, Taufkirchen, Germany). 5′‐DY682‐labelled oligonucleotides, purchased from Eurofins MWG Operon, were annealed to form the probe DNA. EMSA reactions were performed using the Odyssey Infrared EMSA kit (LI‐COR, Bad Homburg, Germany).

Statistical analysis

Statistical analysis of the bioassays was performed using GraphPad Prism (GraphPad Software Inc., San Diego, CA). Experimental data were analysed with Student's t‐test at P < 0.05.

Multiple sequence alignment

Multiple sequence alignment of SlJUB1 with other known NAC proteins was carried out using Clustal Omega (Sievers et al., 2011).

Funding

This work was supported by funding from the Deutsche Forschungsgemeinschaft (DFG) to S.B. (BA 4769/2‐1). Financial support was furthermore provided by the University of Potsdam and the MPI of Molecular Plant Physiology.

Competing interests

The authors declare no competing financial interests. Figure S1 Amino acid sequence alignment of SlJUB1 with other known NAC transcription factors. Figure S2 Phenotypes of AtJUB1 expressing (OX3) and wild‐type tomato cv. Moneymaker (MM) plants under drought stress. Figure S3 Lower ROS scavenging enzyme activities in tomato plants ectopically expressing AtJUB1 (OX1). Figure S4 Ectopic expression of AtJUB1‐GFP in tomato confers tolerance to water deficit in younger plants. Figure S5 Tomato plants ectopically expressing AtJUB1 show enhanced tolerance to exogenous treatment with polyethylene glycol. Click here for additional data file. Table S1 Oligonucleotide sequences. Click here for additional data file.
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