Literature DB >> 26417019

Transcription factor StWRKY1 regulates phenylpropanoid metabolites conferring late blight resistance in potato.

Kalenahalli N Yogendra1, Arun Kumar1, Kobir Sarkar1, Yunliang Li1, Doddaraju Pushpa1, Kareem A Mosa1, Raj Duggavathi2, Ajjamada C Kushalappa3.   

Abstract

Quantitative resistance is <span class="Chemical">polygenically controlled and durable, but the underlying molecular and biochemical mechanisms are poorly understood. Secondary cell wall thickening is a critical process in quantitative resistance, regulated by transcriptional networks. T<span class="Chemical">his paper provides compelling evidence on the functionality of StWRKY1 transcription factor, in a compatible interaction of potato-Phytophthora infestans, to extend our knowledge on the regulation of the metabolic pathway genes leading to strengthening the secondary cell wall. A metabolomics approach was used to identify resistance-related metabolites belonging to the phenylpropanoid pathway and their biosynthetic genes regulated by StWRKY1. The StWRKY1 gene in resistant potato was silenced to decipher its role in the regulation of phenylpropanoid pathway genes to strengthen the secondary cell wall. Sequencing of the promoter region of StWRKY1 in susceptible genotypes revealed the absence of heat shock elements (HSEs). Simultaneous induction of both the heat shock protein (sHSP17.8) and StWRKY1 following pathogen invasion enables functioning of the latter to interact with the HSE present in the resistant StWRKY1 promoter region. EMSA and luciferase transient expression assays further revealed direct binding of StWRKY1 to promoters of hydroxycinnamic acid amide (HCAA) biosynthetic genes encoding 4-coumarate:CoA ligase and tyramine hydroxycinnamoyl transferase. Silencing of the StWRKY1 gene was associated with signs of reduced late blight resistance by significantly increasing the pathogen biomass and decreasing the abundance of HCAAs. This study provides convincing evidence on the role of StWRKY1 in the regulation of downstream genes to biosynthesize HCAAs, which are deposited to reinforce secondary cell walls.
© The Author 2015. Published by Oxford University Press on behalf of the Society for Experimental Biology.

Entities:  

Keywords:  Hydroxycinnamic acid amides; Phytophthora infestans; quantitative resistance; secondary cell wall thickening; transcription factors

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Year:  2015        PMID: 26417019      PMCID: PMC4765800          DOI: 10.1093/jxb/erv434

Source DB:  PubMed          Journal:  J Exp Bot        ISSN: 0022-0957            Impact factor:   6.992


Introduction

Late blight caused by <span class="Species">Phytophthora infestans (Mont.) de Bary is the most destructive disease of <span class="Species">potato. It reduces plant biomass or even may kill the plant, thus decreasing crop quantity and quality (Fry, 2008). The resistance in potato can be improved by selecting resistance genes that are induced following pathogen invasion, either by molecular breeding or cis/trans genetic engineering. Plant responses to stress are complex and involve numerous physiological, molecular, and cellular adaptations (Rejeb ). The plant cell wall is one of the barriers that pathogens need to overcome to successfully colonize plant tissues. Cell wall thickening reduces the spread of pathogens in plants beyond the site of infection, reducing lesion expansion (Dangl ). The biosynthesis of the secondary cell wall is a developmental process that involves the co-ordinated expression of secondary cell wall biosynthetic genes regulated by a cascade of transcription factors (Cosgrove, 2005). Understanding such processes is vital for the manipulation of secondary cell wall thickening to resist pathogen development in plants (War ). Plants have evolved intricate strategies to recognize pathogen <span class="Disease">infection and devise effective defence respn>onses (Jones and Dangl, 2006). The first line of defence following <span class="Disease">infection involves the recognition of pathogen-associated molecular patterns (PAMPs), which trigger basal levels of plant defence responses referred to as PAMP-triggered immunity (PTI). To combat PTI, pathogens produce haustoria inside the plant cell to release effector proteins. This invokes a second line of defence in plants to produce effector-specific resistance (R) proteins encoded by R genes. The resulting hypersensitive reaction or effector-triggered immunity (ETI) constitutes qualitative resistance (Kushalappa and Gunnaiah, 2013). PAMP also triggers phytohormones, such as jasmonic acid, salicylic acid, ethylene, abscisic acid, and gibberellins, to provide broad biochemical resistance and reduce pathogen growth (Robert-Seilaniantz ). These phytohormones fine-tune the pathways involved in the production of secondary metabolites that impart quantitative resistance. Following recognition of PAMPs, the receptors trigger a phosphorylation cascade through the mitogen-activated protein kinase (MAPK) signalling pathway (Chisholm ), leading to the induction or repression of target genes (Czernic ). Among the induced target genes are a variety of transcription factors that regulate plant defence responses involving up- or down-regulation of resistance-related (RR) genes by binding to specific DNA sequences in their promoter regions (Alves ). <span class="Gene">WRKY domain-containing proteins are one of the largest families of transcriptional regulators in plants. They have a DNA-binding domain called a W-box (TTGACC/T or <span class="Gene">WRKYGQK) and are involved in plant immune responses (Rushton ). Overexpression of WRKY transcription factor increased tolerance to pathogen infection through induction of phytohormone-mediated signalling pathways in grapes and tobacco (Dang ; Marchive ). In contrast, the overexpression of WRKY reduced resistance mechanisms in rice (Chujo ; Yokotani ) and Capsicum plants (Wang Y ). Although WRKY proteins might act as crucial nodes in the cross-talk between PTI and ETI, little is known regarding the molecular events occurring during the establishment of resistance or susceptibility to pathogens in plants. Also, details of molecular mechanisms of individual proteins of the WRKY superfamily are still very limited, especially in non-model plants. The present study was designed to elucidate the mechanisms by which <span class="Gene">StWRKY1 regulates the downstream genes leading to quantitative resistance to late blight in <span class="Species">potato based on a metabolomics approach. We identified high-fold-change RR metabolites in potato stems based on non-targeted metabolomics of two genotypes: a resistant (F06025) and a susceptible (Shepody) genotype. The two genotypes with contrasting levels of resistance to Phytophthora infestans induced different metabolic pathways. As reported by others, a high fold change in abundance of phenylpropanoid metabolites was observed in stems that appears to play a major role in late blight resistance by enhancing cell wall thickening through deposition of polyaromatic domains of suberin (Franke ). Phenylpropanoids were also observed in the current authors’ previous studies (Pushpa ; Yogendra ), but the molecular events in their biosynthesis and regulation were not revealed. A hierarchy of genes involved in the induction of the phenylpropanoid pathway has been identified, although this is limited to model plants. Therefore, candidate metabolites with high fold change in abundances were mapped onto metabolic pathways to identify their biosynthetic candidate genes based on genomic databases. WRKYs are implicated in the regulation of plant defence against pathogens, but only a few members of the WRKY superfamily in potato have been isolated or functionally characterized. StWRKY1 was reported in potato following infection with P. infestans (Dellagi ; Machinandiarena ), but no details on metabolic pathway regulation were revealed. The current study uses a forward genetics approach to discover StWRKY1 from the high fold change in abundance of hydroxycinnamic acid amides (HCAAs) detected based on metabolic profiling, and reverse genetics to validate in depth the transcriptional activation of StWRKY1, possible interactions between StWRKY1 and HCAA biosynthetic genes, and their link to secondary cell wall strengthening to contain pathogen spread following P. infestans invasion.

Materials and methods

Plant production

A resistant genotype (F06025) and a susceptible genotype (Shepody) were obtained from Mrs Agnes Murphy (<span class="Species">Potato Research Centre, Agriculture and Agri-Food Canada, New Brunswick, Canada). F06025 was derived from AWN86514-2×N06993-13 and Shepody was derived from Bake King×F58050. <span class="Chemical">Sprouted tubers, either one piece with at least two eyes or one whole small tuber, were planted in a pot containing promix BX® and perlite. Temperature (20±3 °C with 16h photoperiod) and relative humidity (70±10%) were maintained in the greenhouse throughout the growing period.

Pathogen production, inoculation, and incubation

<span class="Species">P. infestans culture [clonal lineage US-8, A2 mating type, isolate (1661), obtained from Dr. H. Platt (AAFC, Charlottetown, Prince Edward Island, Canada)] was maintained on <span class="Species">potato dextrose agar media. For inoculation, fresh sporangia were produced by inoculating thin potato tuber slices and incubating in Petri dishes lined with moist filter paper at 18 °C. A spore suspension was prepared by extracting sporangia in sterile water and the spore concentration was adjusted to 1×105 spores ml–1. Young stems of 5-week-old plants were inoculated with 20 µl sporangial suspension or mock-solution at two spots, co<span class="Chemical">rrespn>onding to opposite sides of the stem, using a Hamilton syringe fitted with an autodispn>enser (Gastight 1750 DAD W/S; Hamilton, Reno, NV, USA). The inoculated drops were covered with Whatman filter paper discs (4–5mm diameter) to prevent spread of the spore suspn>ension. Immediately after inoculation, the plants were covered with transpn>arent plastic bags sprayed with sterile <span class="Chemical">water on the inside to maintain high humidity to facilitate infection. The covers were removed 72h post-inoculation (hpi).

Disease severity assessment and pathogen biomass quantification

The experiment was conducted as a randomized complete block design with two genotypes (resistant and susceptible) inoculated with <span class="Species">P. infestans and three replicates over time. Each experimental unit consisted of five pots, each with two plants and five stems inoculated on opposite sides. Following inoculation, the plants were covered with plastic bags for 72h. Disease severity was assessed by measuring lesion length using a digital caliper at 3 d intervals until 9 d post-inoculation (<span class="Chemical">dpi). Lesion length (mm) was used to calculate area under the disease progress curve (AUDPC). Relative biomass of P. infestans in the infected samples was quantified based on quantitative PCR (qPCR) (Asai ). Genomic DNA was isolated from P. infestans-infected stems (6 dpi) using a DNeasy Plant Mini Kit (Qiagen, Canada). qPCR was performed using IQ SYBR Green Supermix (Bio-Rad, Canada) in a CFX384TM Real-Time System (Bio-Rad, Canada) according to the manufacturer’s instructions, using specific primers to amplify and detect P. infestans DNA and potato DNA (Supplementary Table S1 at JXB online).

Sample collection, metabolite extraction, and LC-high-resolution MS (LC-HRMS) analysis

The experiment was conducted as a completely randomized block design with two genotypes (F06025 and Shepody) and two inoculations (pathogen and mock) with five replicates over time. The experimental units consisted of five plants with a total of 10 stems inoculated for each treatment. At 72 hpi, 1cm stem segments, containing the inoculated spot, were cut using a sterile scalpel. Samples were flash frozen in liquid <span class="Chemical">nitrogen and stored at –80 °C. Metabolites were extracted using 60% aqueous <span class="Chemical">methanol with 0.1% formic acid (De Vos ). These were analysed in negative ionization mode using a LC-HRMS system (LC-ESI-LTQ Orbitrap; Thermo Fisher, Waltham, MA, USA), with a 5cm kinetex column, as described previously (Yogendra ).

LC-HRMS output processing

The LC-HRMS output Xcalibur RAW files were converted into mzXML format. Data was processed using the interactive LC-MS data processing software <span class="Chemical">MZmine-2 with the high sensitivity peak detection algorithm XCMS centWave (Pluskal ). The observed masses and their abundance (relative intensity) were imported to MS Excel; peaks that were not consistent among replicates and those annotated as isotopes and adducts were excluded from further analyses (Yogendra ).

Identification of RR metabolites

Monoisotopic mass peak intensity (m/z) data was subjected to pairwise Student’s t-test analysis in RM versus SM, RP versus RM and <span class="Chemical">SP versus SM (RM, mock-inoculated resistant genotype; SM, mock-inoculated susceptible cultivar; RP, pathogen-inoculated resistant genotype; <span class="Chemical">SP, pathogen-inoculated susceptible cultivar) as described previously (Kushalappa and Gunnaiah, 2013). Metabolites with significantly higher abundance in the resistant compared with the susceptible genotype were considered RR metabolites. RR metabolites were further classified into RR constitutive (RRC) and RR induced (RRI) metabolites. The RR metabolites were putatively identified based on two criteria: (i) accurate mass match (accurate mass error <5 ppm) with metabolites reported in different databases [METLIN, KNApSAcK, Plant Metabolic Network (PMN), LIPIDMAPS, and KEGG] and (ii) fragmentation pattern match with those in databases or in silico verification (Yogendra ).

RNA isolation and quantitative real-time PCR (qRT-PCR)

For qRT-PCR, total RNA was isolated from stems inoculated with pathogen or mock-solution at 48 hpi in three replicates (five stems were collected from five plants for each replicate) using a RNeasy Plant Mini Kit (Qiagen, Canada). Purified RNA (3 µg from each sample) was reverse transcribed using an Affinity Script qRT-PCR cDNA Synthesis Kit (Agilent Technologies, USA). For qRT-PCR, Primer-BLAST software was used to design primer sets for <span class="Gene">StWRKY1, 4-coumarate:CoA ligase (St4-CL), <span class="Gene">tyramine hydroxycinnamoyl transferase (StTHT), hydroxycinnamoyl transferase (SpHCT), and tyrosine decarboxylase (SpTyDC) (Supplementary Table S1), and elongation factor-1α (StEF1α) and β-tubulin (Stβ-tubulin) were used as reference genes (Nicot ). A sample of 25ng cDNA was used in a qRT-PCR reaction using IQ SYBR Green Supermix (Bio-Rad, Canada) in a CFX384TM Real-Time System (Bio-Rad) in a 10 µl reaction volume according to the manufacturer’s instructions. The relative gene expression level was calculated using the 2–∆∆ method (Livak and Schmittgen, 2001).

Histochemical analysis of potato stems

Fifteen young <span class="Species">potato internodes were collected from pathogen- and mock-inoculated plants at 72 hpi for <span class="Chemical">histochemical study. Internodes were cut 0.5cm above and 0.5cm below the inoculation site using a scalpel and immediately frozen at –20 °C. For cryosectioning, tissues were embedded in Shandon Cryomatrix (Richard-Allan Scientific, USA). The cross-sectioning was carried using a cryotome (Leica, Canada) with 35 µm thickness and collected on glass slides. Sections were washed with distilled water for 2min, stained with Neu’s reagent [1% 2-amino ethyl diphenyl borinate (Sigma-Aldrich, Canada) in absolute methanol] for 5min, washed with water again for 30 s, and mounted in 15% glycerol (Alemanno ). The cross-sections of five internodes for each treatment with at least five sections from each internode were observed under a fluorescent microscope (Nikon, USA) for chemifluorescence with blue laser diode excitation at 405nm using a HQ442/45 emission filter.

Virus-induced gene silencing (VIGS) vector construction

<span class="Species">Tobacco rattle virus [<span class="Species">pTRV1 (YL192) and pTRV2 (pYL154)] vectors (Liu ) were obtained from the Arabidopsis Biological Resource Center, The Ohio State University, Columbus, OH, USA. To generate pTRV2-StWRKY1, a 519bp segment of potato WRKY1 was PCR amplified from resistant potato cDNA using primers WRKY1-F (5′-TACGTCGAATTCATGGAGAATTATGCAACAATA-3′) and WRKY1-R (5′-TAGCTGCTCGAGTTAAAAGGAAGTA TAGATTTGCAT-3′) with EcoRI and XhoI restriction sites (underlined) at the 5′ and 3′ ends of the amplified fragment, respectively. The PCR product was digested with EcoRI/XhoI and inserted into the same site of the pTRV2 vector, resulting in pTRV2-StWRKY1. For silencing phytoene desaturase (PDS), a 396bp segment of the potato PDS gene was amplified from the resistant genotype and cloned into pTRV2 vector using primers (PDS-F: 5′-TACGTCGAATTCCAGTGGATA TTTTCAAGCTGCTT-3′; PDS-R: 5′-TAGCTGCTCGAGAAAC AGACCTTGGAGTTTTGACA-3′) with EcoRI and XhoI restriction sites (underlined) at the 5′ and 3′ ends of the amplified fragment, respectively. The positive clones in the pTRV2 plasmid were confirmed by sequencing. All TRV-VIGS clones were transformed into Agrobacterium tumefaciens strain GV3101 using a standard transformation protocol.

Agrobacterium-mediated virus infiltration (agroinfiltration)

Cultures of <span class="Species">A. tumefaciens strain GV3101 containing each of the constructs derived from pTRV2, with an empty vector as a control, and <span class="Species">pTRV1 were grown at 28 °C for 24h in Luria–Bertani (LB) medium supplemented with 10mM MES, 200 μM acetosyringone, 50mg l–1 gentamycin, and 50mg l–1 kanamycin. Agrobacterium cells were harvested and suspended in the infiltration buffer (10mM MgCl2, 200 μM acetosyringone, and 10mM MES, pH 5.6). Agrobacterium cultures were pelleted, resuspended in infiltration buffer, and adjusted to an OD600 of 1.0. Mixtures of Agrobacterium cultures containing pTRV1 and pTRV2 and its derivatives, in a ratio of 1:1 (v/v), were placed in the dark at room temperature for 4h before infiltration. For infiltration, 0.1mm holes were made in the leaflets of 2-week-old potato plants using the corner of a new razor blade and infiltrated with Agrobacterium cultures (agroinfiltration) using a 1ml needleless syringe. Plants were maintained at 18 °C in a growth chamber.

Induction of protein expression and purification of recombinant protein

Full-length cDNA of the <span class="Gene">StWRKY1 gene was amplified by RT-PCR using <span class="Species">Solanum tuberosum cDNA as template and StWRKY1-F (5′-GGATCCTGAGAATTATGCAACAATATTTC-3′) and StWRKY1-R (5′-AGATCTTTAAAAGGAAGTATAG ATTTGC-3′) primers containing BamHI and BglII restriction sites (underlined). PCR product was digested with BamHI and BglII, and the fragment was ligated to pTrcHis B (Invitrogen, USA) vector and transformed into Escherichia coli BL21 cells. E. coli cells harbouring StWRKY1 were grown in 200ml LB containing 50 µg ml–1 ampicillin incubated at 37 °C and 250rpm. Induction of protein expression and purification was achieved using a Ni-NTA column (Qiagen, Germany) as described previously (Kumar ; Kumar ). The purified protein fractions of recombinant StWRKY1 were detected by 12% SDS-PAGE by staining with Coomassie Brilliant Blue.

EMSA

The promoter region of <span class="Gene">THT, having the putative <span class="Gene">StWRKY1-binding site, was used to design synthetic single-stranded forward (5′-TCGTCAGAGTTGACCTCCACCAACCA-3′) and reverse (5′-TGGTTGGTGGAGGTCAACTCTGACGA-3′) 26bp olig- onucleotide primers. The underlined region of the primers represents the WRKY-binding domain. Single-stranded primers were annealed at room temperature to generate a double-stranded probe, which was labelled using a Pierce Biotin 3′ End DNA Labeling Kit (Thermo Scientific, USA). EMSA was performed using a LightShift® Chemiluminescent EMSA Kit (Thermo Scientific, USA) as per the manufacturer’s instructions. Briefly, each reaction contained 2 μl 10× binding buffer, 1.0 μl each 1 µg µl–1 poly(dI–dC), 50% glycerol, 1% NP-40, 1M KCl, 100mM MgCl2, 200mM EDTA, 3 µl (3 μg) purified protein, and 2 µl (20fmol) labelled probe or unlabelled DNA as the competitor made up to a final volume of 20 µl. The binding reactions were incubated at 25 °C for 20min. A 6% polyacrylamide minigel (containing 3% glycerol) was pre-run for 30min using 0.5× TBE as a running buffer. Then 5 μl 5× loading buffer was added to the reaction and a 25 μl aliquot of the reaction mixture was subjected to electrophoresis. The gel was transferred to a nitrocellulose membrane (Amersham Biosciences, USA) using a Mini Trans-Blot® Electrophoretic Transfer Cell (Bio-Rad, USA), followed by cross-linking of the membrane below a UV lamp. The biotin-labelled DNA was detected using a Chemiluminescent Nucleic Acid Detection Module (Thermo Scientific, USA) as per the manufacturer’s instructions. The change in band position representing different molecular weights was used to confirm the shift.

Bimolecular fluorescence complementation (BiFC) assay

For the BiFC assay, sequences encoding <span class="Gene">StWRKY1 and StMEK1 were amplified and fused with the N- and C-terminal parts of Yellow Fluorescent Protein (YFPn and YFPc, respn>ectively). BiFC plasmids containing YFPn and YFPc fusions were co-transformed into <span class="Species">potato protoplasts as described previously (Walter ). The protoplasts were incubated under weak light for 12–16h before observation. YFP fluorescence signals were checked under a fluorescent microscope (Nikon, USA). The presence of yellow fluorescence was used to discriminate treatments.

Luciferase (LUC) transient expression assay

For LUC transient expression assays, reporter plasmids (4-CLp-LUC or <span class="Chemical">THTp-LUC), effector constructs containing <span class="Gene">StWRKY1, and 35S::β-glucuronidase (GUS) internal control were co-transformed into potato protoplasts. The protoplasts were pelleted and resuspended in 1× cell culture lysis reagent (Promega, USA). GUS fluorescence was measured using a Modulus luminometer/fluorometer with a UV fluorescence optical kit (Fluorescence Microplate Reader; BioTek, USA). The experiment was carried out in three replicates; each replicate contained 20 µl protoplast lysate and 100 µl LUC mix. LUC activity was detected with a luminescence kit using LUC assay substrate (Fluorescence Microplate Reader). The relative reporter gene expression levels were expressed as LUC/GUS ratios, which were used to discriminate treatments.

Results

Late blight severity and P. infestans biomass

Late blight severity in the potato genotypes F06025 and Shepody was assessed by measuring lesion length over time following inoculation with <span class="Species">P. infestans clonal lineage US-8. The initial symptoms were observed as brown-coloured lesions on the inoculated stems at 3 dpi in both F06025 and Shepody. By 9 dpi, the stem lesion length was 66.44mm (AUDPC=201.09) in Shepody, differing (P<0.001) from the resistant genotype F06025 with a lesion length of 13.44mm (AUDPC=49.71) (Fig. 1A and Supplementary Fig. S1 at JXB online).
Fig. 1.

Disease progress curve and pathogen biomass in infected stems of resistant (F06025) and susceptible (Shepody) genotypes inoculated with P. infestans: (A) Late blight disease severity progress curve based on lesion length (mm) and (B) biomass of pathogen quantified as relative P. infestans-specific (O-8) gene expression at 6 dpi. Significant differences between susceptible and resistant plants using Student’s t-test: *P<0.05; **P<0.01.

Disease progress curve and pathogen biomass in infected stems of resistant (F06025) and susceptible (Shepody) genotypes inoculated with <span class="Species">P. infestans: (A) <span class="Disease">Late blight disease severity progress curve based on lesion length (mm) and (B) biomass of pathogen quantified as relative P. infestans-specific (O-8) gene expression at 6 dpi. Significant differences between susceptible and resistant plants using Student’s t-test: *P<0.05; **P<0.01. Pathogen biomass in the infected stems of genotypes F06025 and Shepody were quantified based on qPCR. At 6 <span class="Chemical">dpi, <span class="Species">P. infestans-specific gene copy numbers (DNA, O-8) were 33.52-fold higher (P<0.001) in the susceptible Shepody than in the resistant F06025 genotype (Fig. 1B).

Differential accumulation of metabolites in stems of potato genotypes

Metabolites were profiled in the stems of resistant and susceptible genotypes at 3 <span class="Chemical">dpi following inoculation with <span class="Species">P. infestans or with water and analysed based on LC-HRMS. A total of 8408 consistent peaks of monoisotopic masses were detected in all the replicate and treatment combinations. Among the mock-inoculated plants, a total of 679 metabolites had higher abundance in the resistant than in the susceptible genotype, and these were designated as RRC (RM>SM) metabolites (Table 1, and Supplementary Fig. S2A and Supplementary Table S2 at JXB online). These metabolites belonged to different chemical groups (Supplementary Fig. S2B) and some important metabolites had high fold changes in the resistant genotype [phenylpropanoids: 1,2-di-O-sinapoyl-β-d-glucose (14.55), 1-O-sinapoyl-β-d-glucose (6.31) and scopolin (3.15); glycerophospholipids: 1-(9Z-nonadecenoyl)-glycero-3-phosphoserine (3.61), 1-hexadecyl-2-propionyl-sn-glycero-3-phosphocholine (3.50) and 1-octadecyl-2-ethyl-sn-glycero-3-phosphocholine (3.14); sphingolipids: (3′-sulfo) Galβ-Cer (d18:0/20:0(2OH)) (3.77), N-palmitoylsphingosine (2.90) and N-(eicosanoyl)-sphinganine (2.37)].
Table 1.

Fold change in abundance of RR metabolites detected in potato stem following P. infestans or mock-solution inoculation

Observed mass (Da)Exact mass (Da)NameFold change
Phenylpropanoids
148.0528148.0524 trans-Cinnamic acid1.24* RRI
162.032162.03174-Hydroxycoumarin1.36* RRC
165.0793165.0790 l-Phenylalanine1.18* RRI
166.0633166.0630Dihydro-3-coumaric acid2.13** RRI
174.0531174.0528Shikimate1.31* RRI
181.0742181.0739α-Amino oxy-β-phenyl propionate8.22* RRI; 1.74* RRC
192.0273192.0270Citrate2.27* RRI
192.0637192.0634 l-Quinic acid2.46* RRC; 1.18* RRI
194.0586194.0579Ferulic acid12.44** RRC; 3.04** RRI
208.0552208.0558Methyl 5-(1-propynyl)-2-thiophenepropanoate2.95** RRC
264.1472264.1474Feruloylputrescine5.03** RRI
300.0844300.0845Salicylate β-d-glucose ester1.59** RRI
306.1690306.1692Feruloylagmatine5.01** RRI; 3.11** RRC
313.1313313.1314 N-feruloyltyramine12.85** RRI; 1.99** RRC
329.1262329.1263 N-feruloyloctopamine8.90** RRI
342.0946342.0951Caffeic acid 3-glucoside2.72* RRC
354.0950354.0951Scopolin3.15* RRC; 1.11* RRI
368.1103368.11075-O-feruloylquinic acid2.63* RRC
386.1210386.12131-O-sinapoyl-β-d-glucose6.31** RRC; 2.92* RRI
537.1823537.18464-Demethylsimmondsin 2′-(E)-ferulate2.98* RRC
582.1941582.194910-Acetoxyligustroside2.74* RRC
592.1790592.17921,2-Di-O-sinapoyl-β-d-glucose14.55** RRC; 1.13* RRI
Sphingolipids
479.4357479.4338Cer(d14:2(4E,6E)/16:0)1.30* RRI
537.5138537.5121Cer(d18:1/16:0)2.90* RRC; 1.44* RRI
595.5880595.5903Cer(d18:0/20:0)2.37* RRC; 1.15* RRI
683.5331683.5336GlcCer(d15:2(4E,6E)/18:0)1.30* RRC
711.5643711.5649GlcCer(d15:2(4E,6E)/20:0)1.24* RRI
851.5776851.5793(3′-Sulfo)Galβ-Cer(d18:0/20:0(2OH))3.77** RRC
Glycerophospholipids
537.309537.30671-(9Z-Nonadecenoyl)-glycero-3-phosphoserine3.61* RRI
537.379537.37941-Hexadecyl-2-propionyl-sn-glycero-3-phosphocholine3.50*RRI
537.4151537.41581-Octadecyl-2-ethyl-sn-glycero-3-phosphocholine3.14* RRI

Detailed compound identification is presented in Supplementary Table S2. Fold change calculation was based on relative intensity of metabolites: RRC=RM/SM and RRI=(RP/RM)/(SP/SM) (see main text for details). Significance (t-test): *P<0.05, **P<0.01.

Fold change in abundance of <span class="Chemical">RR metabolites detected in <span class="Species">potato stem following P. infestans or mock-solution inoculation Detailed compound identification is presented in Supplementary Table S2. Fold change calculation was based on relative intensity of metabolites: <span class="Chemical">RRC=RM/SM and <span class="Chemical">RRI=(RP/RM)/(SP/SM) (see main text for details). Significance (t-test): *P<0.05, **P<0.01. Among the pathogen-inoculated plants, 167 metabolites were induced with greater abundances in the resistant than in the susceptible genotype, and these were designated as <span class="Chemical">RRI [(RP>RM)>(<span class="Chemical">SP>SM)] metabolites (Supplementary Fig. S2A and Supplementary Table S2). Out of 167 RRI metabolites, 97 were putatively identified (Table 1 and Supplementary Table S2); the identity of the most significant metabolites was confirmed based on fragmentation patterns using LC-HRMS (Supplementary Fig. S3 at JXB online). Thirty-four of the identified metabolites were phenylpropanoids, including the HCAAs N-feruloyltyramine, N-feruloyloctopamine, feruloylputrescine, and feruloylagmatine. In addition to phenylpropanoids, 24 fatty acids and four alkaloids were induced in higher abundance in the resistant than in the susceptible genotype following pathogen inoculation. Among the <span class="Chemical">RRI metabolites identified, most of the high-fold-change metabolites belonged to the <span class="Chemical">phenylpropanoid pathway, including the HCAAs N-feruloyltyramine (12.85), N-feruloyloctopamine (8.90), feruloylputrescine (5.03), and feruloylagmatine (5.01), which are known to be involved in cell wall thickening. To confirm the deposition of HCAAs in cell walls, a histochemical staining technique was used to visualize the location of deposition of these metabolites. Deposition of HCAAs (blue fluorescence intensity) was greater in pathogen-treated resistant than in mock-treated resistant and pathogen- or mock-treated susceptible genotypes (Supplementary Fig. S4 at JXB online). The candidate RRI metabolites with the highest fold changes in abundance following pathogen inoculation were mapped onto their metabolic pathways (Fig. 2) to identify the catalytic enzymes, which were then searched in the Spud database (http://solanaceae.plantbiology.msu.edu/; accessed on 25 February 2015) to identify candidate RR genes. The RR genes that encoded the enzymes of these RRI metabolites were 4-coumarate:CoA ligase (4-CL) (GenBank accession number AF150686.1; chromosome 3), hydroxycinnamoyl transferase (HCT) (Gene ID: PGSC0003DMT400036695; chromosome 3), tyramine hydroxycinnamoyl transferase (THT) (GenBank accession number JX896425.1; chromosome 10), and tyrosine decarboxylase (TyDC) (Gene ID: PGSC0003DMT400038501; chromosome 3) (Fig. 2). The expression of RR genes is transcriptionally regulated by the co-ordinated action of transcription factors which bind to cis-acting elements and regulate the expression of RR genes. Previous studies reported that StWRKY1 (GenBank accession number AJ278507.1; chromosome 5) is induced and co-regulated with class I endochitinase during the compatible interaction of potato and P. infestans (Dellagi ). The promoter regions of RR genes were sequenced and the presence of the W1-box of the WRKY1 transcription factor was confirmed (Supplementary Table S3 at JXB online).
Fig. 2.

Satellite metabolic pathway of potato–Phytophthora interaction showing the RR metabolites and their catalysing enzymes involved in their biosynthesis detected in resistant potato inoculated with P. infestans or mock-solution. Metabolites and genes detected in this study are marked in red. Detailed interactions are presented in Fig. 7. (This figure is available in colour at JXB online.)

Satellite metabolic pathway of potato–<span class="Species">Phytophthora interaction showing the RR metabolites and their catalysing enzymes involved in their biosynthesis detected in resistant potato inoculated with P. infestans or mock-solution. Metabolites and genes detected in this study are marked in red. Detailed interactions are presented in Fig. 7. (This figure is available in colour at JXB online.)

Metabolic regulation of phenylpropanoid pathway genes by StWRKY1

To investigate whether <span class="Gene">StWRKY1 is involved in defence respn>onses, <span class="Gene">StWRKY1 transcripts were quantified based on qRT-PCR. The relative transcript abundance of StWRKY1 was higher (P<0.001) in resistant (5.52) than in susceptible genotypes (1.00) (Fig. 3A). Furthermore, the coding and promoter regions of StWRKY1 were amplified from both resistant and susceptible genotypes, and cloned into the pGEM®-T Easy vector and verified by Sanger sequencing. No sequence variation was observed for the coding region of StWRKY1 in both resistant and susceptible genotypes. However, the heat shock element (HSE) domain was detected in the promoter region of the resistant genotype and was completely absent in the susceptible genotype (Supplementary Fig. S5 and Supplementary Table S4 at JXB online). HSEs act as heat shock protein (HSP)-binding sites and help to induce hypersensitive responses by generating oxidative bursts.
Fig. 3.

Relative transcript expression and regulation of StWRKY1 by sHSP17.8. The relative transcript expression for (A) StWRKY1 and (B) sHSP17.8 was confirmed in the resistant genotype relative to the susceptible genotype following P. infestans and mock-solution inoculation at 48 hpi using qRT-PCR in comparison with reference genes for elongation factor-1α and β-tubulin. See main text for further details. Regulation of StWRKY1 by sHSP17.8 was confirmed by LUC transient expression assay: (C) constructs used and (D) relative LUC reporter activity by HSP17.8. Values are averages of three replicates. Significant differences in relative expression levels using Student’s t-test: *P<0.05; **P<0.01.

Relative transcript expression and regulation of <span class="Gene">StWRKY1 by sHSP17.8. The relative transcript expression for (A) StWRKY1 and (B) sHSP17.8 was confirmed in the resistant genotype relative to the susceptible genotype following P. infestans and mock-solution inoculation at 48 hpi using qRT-PCR in comparison with reference genes for elongation factor-1α and β-tubulin. See main text for further details. Regulation of StWRKY1 by sHSP17.8 was confirmed by LUC transient expression assay: (C) constructs used and (D) relative LUC reporter activity by HSP17.8. Values are averages of three replicates. Significant differences in relative expression levels using Student’s t-test: *P<0.05; **P<0.01.

Transcriptional regulation of StWRKY1 by small HSPs (sHSPs)

RNA sequencing was ca<span class="Chemical">rried out between the resistant genotype F06025 and another susceptible genotype, Russet Burbank, using 48 hpi <span class="Species">potato leaf samples. Sequencing was performed with an Illumina HiSeq 2000 sequencer with 100bp paired-end reads (Genome Québec-McGill University Innovation Center, Montreal, Canada). The reads were aligned to the potato reference genome (Potato Genome Sequencing Consortium, 2011). We observed a high fold change in expression for sHSP17.8 (77.78) and sHSP26.5 (9.00) in the resistant genotype (F06025), compared with the susceptible genotype (Russet Burbank) upon P. infestans infection, based on RNA sequencing analysis (unpublished data and Supplementary Table S5). The high fold change in expression of sHSP17.8 was further validated using qRT-PCR. Interestingly, qRT-PCR revealed a higher fold change of 40.35 transcripts in the resistant (F06025) than in the susceptible (Shepody) genotype (Fig. 3B). As HSPs are transcriptionally activated by heat shock factors (HSF) to interact with HSEs present on the promoter region of a gene, the possible regulation between sHSP17.8 and HSE was tested by in vivo LUC assay in potato protoplasts (Fig. 3C, D). The StWRKY1 promoter from the resistant genotype had a relative LUC value of 42.77 as compared (P<0.001) with the susceptible genotype (10.25) and control vector (5.38). Taken together, these results suggest that sHSP17.8 interacts with the HSE conserved domain present in the promoter region of StWRKY1 in the resistant genotype and is likely involved in mediating the high transcriptional activity of StWRKY1 proteins.

Activation of transcription factor StWRKY1 by MAPK

We detected a high fold change in abundance of induced <span class="Chemical">phospholipid metabolites in the resistant genotype following pathogen <span class="Disease">infection [sphingolipids: (3′-sulfo)Galβ-Cer(d18:0/20:0(2OH)) (3.77), N-palmitoylsphingosine (2.90), and N-(eicosanoyl)-sphinganine (2.37); glycerophospholipids: 1-(9Z-nonadecenoyl)-glycero-3-phosphoserine (3.61), 1-hexadecyl-2-propionyl-sn-glycero-3-phosphocholine (3.50), and 1-octadecyl-2-ethyl-sn-glycero-3-phosphocholine (3.14)]. These phospholipids are structural components of membranes and act as novel secondary messengers in plant defence signalling pathways. These activate the MAPK cascade by triggering oxidative bursts (Laxalt and Munnik, 2002). MAPK (StMEK1) phosphorylates StWRKY1, which in turn activates defence gene expression (Katou ). To substantiate the interaction between StWRKY1 and StMEK1 in potato cells, a BiFC assay was performed in which YFPn fused to StWRKY1 (YFPn-StWRKY1) and YFPc fused to StMEK1 (StMEK1-YFPc) were transiently co-expressed in potato protoplasts (Fig. 4A). Co-expression of YFPn-StWRKY1 and StMEK1-YFPc reconstituted a functional YFP in the nucleus, whereas co-expression with either control vector failed to generate YFP fluorescence, indicating StMEK1 is required for activation of StWRKY1 (Fig. 4B).
Fig. 4.

BiFC assay for StWRKY1 and StMEK1 interaction: (A) constructs used in the BiFC expression assay, and (B) BiFC assay showing the interaction between StWRKY1-YFPc and YFPn-StMEK1. The nucleus (NU) is shown in yellow and chlorophyll autofluorescence is shown in red. Bars, 5mm. (This figure is available in colour at JXB online.)

BiFC assay for <span class="Gene">StWRKY1 and StMEK1 interaction: (A) constructs used in the BiFC expression assay, and (B) BiFC assay showing the interaction between <span class="Gene">StWRKY1-YFPc and YFPn-StMEK1. The nucleus (NU) is shown in yellow and chlorophyll autofluorescence is shown in red. Bars, 5mm. (This figure is available in colour at JXB online.)

StWRKY1 physically interacts with promoters of HCAA biosynthetic genes and exhibits transcriptional activity

To investigate whether the <span class="Gene">StWRKY1 proteins are involved in transcriptional regulation of <span class="Chemical">HCAA biosynthesis, the coding region of the StWRKY1 gene and promoters of 4-CL and THT from the resistant genotype were amplified and cloned into pGEM®-T Easy vector (Promega, USA), as confirmed by sequencing. This was followed by subcloning into the FU63 (CD3-1841) (Wang X ) vector with a LUC gene driven by the 35S minimal promoter (Fig. 5A). The constructs were transformed into potato protoplasts. We found that StWRKY1 bound to the promoter region of RR genes, and drastically activated LUC reporter expression in 4-CL (45.55) and THT (47.00) promoters compared with vector alone (4.16) (Fig. 5B), suggesting the transcriptional regulation of HCAA biosynthesis.
Fig. 5.

Transcriptional regulation of HCAA biosynthetic genes by StWRKY1: (A) constructs used in the transient expression assay and (B) relative LUC reporter activity by StWRKY1. Values are averages of three replicates. Significant differences in expression levels in promoters compared with vector using Student’s t-test: *P<0.05; **P<0.01.

Transcriptional regulation of <span class="Chemical">HCAA biosynthetic genes by <span class="Gene">StWRKY1: (A) constructs used in the transient expression assay and (B) relative LUC reporter activity by StWRKY1. Values are averages of three replicates. Significant differences in expression levels in promoters compared with vector using Student’s t-test: *P<0.05; **P<0.01. The <span class="Chemical">HCAAs, including <span class="Chemical">N-feruloyltyramine, N-feruloyloctopamine, feruloylagmatine, and feruloylputrescine, play a critical role in secondary cell wall thickening (Gunnaiah ; Pushpa ; Yogendra ; Yogendra ). Accordingly, the physical interaction of StWRKY1 with HCAA biosynthetic gene THT was tested by in vitro EMSA as additional evidence (Supplementary Fig. S6 at JXB online). For EMSA, the purified recombinant StWRKY1 protein fractions had a molecular weight of 25kDa (Supplementary Fig. S6A) as analysed on 12% SDS-PAGE. This was in agreement with the theoretical molecular weight of 23kDa (19.86kDa for the native protein plus 3kDa for the His-tag). The purified recombinant protein was used to study the interaction with the W1-box of the THT promoter. EMSA results showed a shift in signal of biotinylated THT promoter that was inhibited in the presence of excess unlabelled competitor (Supplementary Fig. S6B). These results indicate that StWRKY1 can specifically bind to the W1-box of the THT promoter and can regulate its gene expression.

Functional validation of StWRKY1

The loss-of-function experiment was performed with <span class="Gene">StWRKY1-silenced <span class="Species">potato seedlings to elucidate the biological function of StWRKY1 in late blight resistance mechanisms. Nucleotide sequences of 519bp of StWRKY1 and 396bp of StPDS (GenBank accession number AY484445.1) were amplified from the resistant potato genotype F06025 and cloned into the pTRV2 vector to develop the TRV-VIGS construct (Supplementary Fig. S7A at JXB online). A mixture of Agrobacterium cultures containing pTRV1 and pTRV2-StWRKY1 or pTRV2-StPDS was infiltrated onto 2-week-old resistant potato seedlings. Agroinfiltrated plants were healthy and no plant died from this treatment, although stunted growth was observed. Plants expressing pTRV2-StPDS showed photobleaching after 30 d of agroinfiltration and used as positive controls to identify plants that were successfully silenced (Supplementary Fig. S7B). The PDS gene was used to demonstrate the effectiveness of VIGS, as this gene participates in the carotenoid metabolic pathway. StWRKY1-silenced leaves exhibited higher levels of P. infestans susceptibility compared with non-silenced plants. At this phase, P. infestans spores (~1000 sporangia) were inoculated to stems of StWRKY1-silenced plants, and transcript expression levels, metabolites, and pathogen biomasses were used to validate the resistance function. To assess the effect of <span class="Gene">StWRKY1 in late blight resistance, the disease severity and biomass were quantified in silenced and non-silenced resistant plants. The lesion length was higher (P<0.001) in silenced plants (26.19mm; AUDPC=80.68), significantly differing from the non-silenced plants (14.90mm; AUDPC=47.60). Likewise, pathogen biomass was higher (P<0.001) in silenced plants (fold change=13.06) compared with non-silenced plants at 6 <span class="Chemical">dpi (Fig. 6A, B). Furthermore, the relative abundances of the transcripts of phenylpropanoid genes (4-CL, THT, TyDC, and HCT) were determined in silenced and non-silenced resistant plants with reference to the susceptible genotype (Fig. 6C–F). StWRKY1 and the regulated RR genes (4-CL, THT and TyDC) were reduced (P<0.001) in silenced plants (fold change=1.16, 0.40, 0.44, and 0.71, respectively) as compared with resistant plants (5.52, 2.13, 2.98, and 4.04). However, no significant reduction was observed in HCT transcripts in silenced plants (fold change=2.22) compared with resistant plants (2.41) and this was probably due to the absence of the W1-box in the HCT promoter (Fig. 6G and Supplementary Table S3). We then tested the effect of StWRKY1 silencing on the production of HCAAs. The RRI metabolites N-feruloyltyramine (fold change=10.13), N-feruloyloctopamine (6.65), feruloylputrescine (3.80), and feruloylagmatine (3.44) were reduced (P<0.05) after silencing (Table 2). Taken together, these results provide compelling evidence that StWRKY1 is a positive regulator of late blight resistance through the reinforcement of secondary cell walls.
Fig. 6.

Effect of StWRKY1 silencing on late blight resistance mechanisms. (A) Late blight disease severity progress. Disease severity was quantified as lesion length (mm) at 3 d intervals. (B) Biomass of P. infestans on silenced (S) and non-silenced (NS) resistant potato genotypes. Biomass was quantified as relative P. infestans-specific (O-8) gene expression at 6 dpi. Relative transcript expression of (C) StWRKY1, and phenylpropanoid genes for (D) 4-coumarate:CoA ligase, (E) tyramine hydroxycinnamoyl transferase, (F) tyrosine decarboxylase, and (G) hydroxycinnamoyl transferase. Relative transcript expression was measured at 48 hpi in comparison with reference genes for elongation factor-1α and β-tubulin. RPS indicates resistant silenced and inoculated with P. infestans; RMS indicates resistant silenced and inoculated with mock-solution; see main text for further details. Significant differences in expression levels in RP compared with SP using Student’s t-test: *P<0.05, **P<0.01.

Table 2.

Effect of StWRKY1 silencing on RR phenylpropanoid metabolites upon P. infestans or mock-solution inoculation

Observed mass (Da)Exact mass (Da)NameFold change before silencingFold change after silencing
264.1472264.1474Feruloylputrescine5.03** RRI3.80* RRI
306.1690306.1692Feruloylagmatine5.01** RRI; 3.11** RRC3.44* RRI
313.1313313.1314 N-feruloyltyramine12.85** RRI; 1.99** RRC10.13** RRI; 1.70** RRC
329.1262329.1263 N-feruloyloctopamine8.90** RRI6.65** RRI; 2.67* RRC

Fold change calculation was based on relative intensity of metabolites: RRC=RM/SM and RRI=(RP/RM)/(SP/SM) (see main text for details). Significance (t-test): *P<0.05, **P<0.01.

Effect of <span class="Gene">StWRKY1 silencing on late blight resistance mechanisms. (A) <span class="Disease">Late blight disease severity progress. Disease severity was quantified as lesion length (mm) at 3 d intervals. (B) Biomass of P. infestans on silenced (S) and non-silenced (NS) resistant potato genotypes. Biomass was quantified as relative P. infestans-specific (O-8) gene expression at 6 dpi. Relative transcript expression of (C) StWRKY1, and phenylpropanoid genes for (D) 4-coumarate:CoA ligase, (E) tyramine hydroxycinnamoyl transferase, (F) tyrosine decarboxylase, and (G) hydroxycinnamoyl transferase. Relative transcript expression was measured at 48 hpi in comparison with reference genes for elongation factor-1α and β-tubulin. RPS indicates resistant silenced and inoculated with P. infestans; RMS indicates resistant silenced and inoculated with mock-solution; see main text for further details. Significant differences in expression levels in RP compared with SP using Student’s t-test: *P<0.05, **P<0.01. Effect of <span class="Gene">StWRKY1 silencing on <span class="Chemical">RR phenylpropanoid metabolites upon P. infestans or mock-solution inoculation Fold change calculation was based on relative intensity of metabolites: <span class="Chemical">RRC=RM/SM and <span class="Chemical">RRI=(RP/RM)/(SP/SM) (see main text for details). Significance (t-test): *P<0.05, **P<0.01.

Discussion

In the present study, an integrated metabolomics, gene expression, and gene sequencing information approach was used to discover and explore the role of transcription factor <span class="Gene">StWRKY1, and also to explain the late blight resistance mechanisms in <span class="Species">potato genotypes F06025 and Shepody. These genotypes varied in their resistance levels and also in accumulation of metabolites. Most of the high-fold-change metabolites identified in the resistant genotype belonged to the phenylpropanoid pathway, especially HCAAs. These metabolites are well known for their role in cell wall thickening, forming antimicrobial barriers (Dangl ). Plants have developed a system to maintain cell wall integrity by activation of signalling molecules, transcriptional reprogramming and biosynthesis of defence metabolites that limit pathogen infection. Cell wall thickening reduces the spread of pathogens in plants beyond the site of infection, reducing lesion expansion. These complex molecules are not generally broken down by plant pathogens. Here, a forward genetics approach was followed to explore the upstream genes involved in the transcriptional regulation of the HCAAs biosynthetic pathway genes in potato stem, mainly through functional elucidation of StWRKY1.

Induction of StWRKY1 in potato against P. infestans infection

During <span class="Species">potato–<span class="Species">P. infestans interaction, significantly higher fold expression of the StWRKY1 gene was identified in the resistant genotype (fold change=5.52) as compared with the susceptible genotype (1.00). Despite the existence of numerous links between WRKY transcription factors and plant defence genes, direct evidence for WRKY proteins binding with RR genes and further accumulation of metabolites remains limited. Several studies have focused on model plants such as Arabidopsis and tobacco, but only a few focused on potato WRKYs. In potato, StWRKY1 is strongly induced following a compatible interaction with P. infestans (Dellagi ) and treatment with potassium phosphite during infection inhibited pathogen spread (Machinandiarena ). Overexpression of VvWRKY1 in grapevines provided higher resistance to downy mildew Plasmopara viticola through higher expression of genes involved in the jasmonic acid pathway (Marchive ). Likewise, the overexpression of CaWRKY27 in tobacco plants was associated with resistance to Ralstonia solanacearum infection through induction of jasmonic acid-, salicylic acid-, and ethylene-mediated signalling pathways (Dang ). Resistance to poplar canker was associated with overexpression of PtoWRKY60, which regulated high expression of defence-associated genes, such as PR5.1, PR5.2, PR5.4, PR5.5, and CPR5, in poplar (Ye ). Two CaWRKY1 genes, CaWRKY1a and CaWRKY1b (which bind to the pW1a promoter region), were identified in Coffea arabica and conferred resistance to the rust fungus Hemileia vastatrix (Petitot ). These findings depict the involvement of the WRKY transcription factors in disease resistance, as described here in potato against P. infestans. We also looked into the signalling pathways which involved induction of the <span class="Gene">WRKY transcription factor and detected high fold changes in several induced <span class="Chemical">phospholipid metabolites in the resistant genotype. These phospholipids act as novel secondary messengers in plant defence signalling pathways and activate the MAPK cascade by triggering oxidative bursts (Laxalt and Munnik, 2002). MAPK converts the signals generated from receptors to cellular responses. Upon activation, MAPK translocates into the nucleus and phosphorylates the WRKY transcription factor, which in turn activates downstream gene expression (Kim and Zhang, 2004). In potato, StMEK1 was functionally characterised during defence reactions (Katou ), which are also associated with StWRKY1, as was confirmed here by BiFC assay. StMEK1 and StWRKY1 function together to induce the expression of downstream RR genes involved in plant defence.

Transcriptional activation of StWRKY1 by sHSPs only in the resistant potato genotype

We detected significantly high fold changes of sH<span class="Chemical">SP17.8 (fold change=40.35) in a resistant genotype of <span class="Species">potato against late blight infection. The presence of HSEs on the promoter region of the StWRKY1 gene in the resistant genotype, but not in the susceptible genotype (Supplementary Table S4), helped the sHSPs to interact and induce the transcription factor StWRKY1. Small HSPs interact and provide stability to the proteins by acting as molecular chaperones (Haslbeck and Vierling, 2015). LUC assay confirmed the transcriptional regulation of StWRKY1 by sHSP17.8. The HSEs are highly conserved and consist of inverted repeats of the pentameric sequence nGAAn (Amin ). The HSE present in the promoter region of the Arabidopsis APX1 gene acts as a functional component that helps to protect plants from oxidative stress (Storozhenko ). In tobacco, the sHSP Ntshsp17 acts as a molecular chaperone and helps in the maintenance of cellular conditions suitable for inducing defence responses against bacterial wilt pathogen Ralstonia solanacearum by stabilizing signalling-related proteins (Maimbo ). In tomato, the sHSP RSI2 is a HSP20 member that specifically interacts and provides stability to the Fusarium oxysporum R protein I-2 (Van Ooijen ). Likewise, the induction of mitochondrial HSP22 occurred in tomato during oxidative stress and helped to provide adoptive responses (Banzet ). Conflicting with these results, wheat sHSP, Mds1 present on chromosome 3AS increases susceptibility to wheat gall midge and powdery mildew fungus Blumeria graminis f. sp. tritici (Liu ).

Transcriptional regulation of phenylpropanoid pathway RRI genes by StWRKY1

To combat pathogen <span class="Disease">infection, plants have developed specific metabolic pathways to biosynthesize metabolites that reinforce secondary cell walls as mechanical barriers. Following pathogen inoculation, genes involved in the production of tyramine-derived HCAAs were 4-CL, THT, and TyDC, which were upregulated 2.13-, 2.98-, and 4.04-fold, respectively, in the resistant genotype. Concurrently, metabolites produced from these candidate RRI genes, i.e. N-feruloyltyramine and N-feruloyloctopamine, were induced with significantly high fold changes in the resistant genotype. The authors previous studies reported high-fold-change expression of THT and TyDC genes, along with high-fold-change accumulation of RRI metabolites N-feruloyltyramine, N-caffeoyltyramine, and N-feruloyloctopamine in leaves of resistant genotypes (Pushpa ; Yogendra ; Yogendra ). However, here, for the first time, StWRKY1 was associated with the promoters of downstream HCAA biosynthetic genes 4-CL and THT in vivo and in vitro. The results of the EMSA and LUC assays confirmed that StWRKY1 physically interacts with and induces high-fold-change expression of downstream genes involved in secondary cell wall thickening. Likewise, the overexpression of VvWRKY1 induced a cinnamyl alcohol dehydrogenase and a caffeic acid O-methyl transferase gene in grape vines, providing higher resistance to downy mildew (Marchive ). Taken together, these findings suggest that StWRKY1 takes part in a regulatory network, directly controlling secondary cell wall thickening by acting on promoters of HCAA biosynthetic genes.

Silencing of StWRKY1 results in profound effects on secondary cell wall thickening

To further assess the effect of <span class="Gene">StWRKY1 on the resistance mechanisms, <span class="Gene">StWRKY1 was silenced in a resistant genotype, and silenced and non-silenced resistant plants were compared based on relative gene expression of HCAA biosynthetic genes, accumulation of their downstream biosynthesized RRI metabolites, amount of fungal biomass, and disease severity. The transcript abundance of StWRKY1 and its regulating RRI genes, 4-CL, THT, and TyDC, was reduced (P<0.05) in silenced plants (fold change=1.16, 0.40, 0.44, and 0.71, respectively) compared with resistant plants (5.52, 2.13, 2.98, and 4.04, respectively). However, no significant reduction was observed for HCT transcripts, probably due to the absence of the W1-box. The abundance of the HCAA metabolites N-feruloyltyramine and N-feruloyloctopamine was reduced 2-fold after silencing, resulting in a higher (P<0.001) biomass in silenced plants (fold change=13.06). This may be due to the metabolic profiling protocol, where metabolite extraction, detection, and identification were not comprehensive, and thus it is possible that other RR genes and associated metabolites are also involved in imparting resistance to late blight. Correspondingly, silencing the hydroxycinnamoyl-CoA:hydroxycinnamoyl transferase affected cell wall strength by decreasing the dimethoxylated syringyl units of the lignin polymer in Nicotiana benthamiana stems (Hoffmann ). Silencing of cellulose synthase genes affected cell wall formation in flax (Chantreau ). Likewise, silencing of ethylene response factor Pti5, which is involved in ethylene signalling, increased the susceptibility to aphids of a near-isogenic genotype that carried the Mi-1.2 R gene in tomato (Wu ). These findings, together with the data reported here provide insights into the effect of silencing of StWRKY1 on downstream HCAA biosynthetic genes crucial for secondary cell wall thickening in potato.

Proposed model for the role of StWRKY1 in potato secondary cell wall thickening

Based on integrated metabolomics and genomics data, the authors propose a model to explain the role of <span class="Gene">StWRKY1, together with <span class="Chemical">HCAA biosynthetic genes, in mediating potato secondary cell wall thickening (Fig. 7). Following P. infestans invasion, a hierarchy of genes is induced in the phenylpropanoid pathway starting from the induction of phospholipid metabolites (glycerophospholipids and sphingolipids), possibly by enzymes produced by the pathogen, activating MAPK (StMEK1), which in turn phosphorylates the transcription factor (StWRKY1). Concurrently, sHSP17.8 is also induced in the resistant genotype. sHSP17.8 interacts with HSEs present in the StWRKY1 promoter region to enable functioning of StWRKY1. Consequently, StWRKY1 protein interacts with HCAA biosynthetic genes 4-CL, TyDC, THT, and possibly others, inducing high-fold-change production of the HCAA metabolites N-feruloyltyramine, N-feruloyloctopamine, and others. Taken together, these results suggest that StWRKY1 is required for the induction of HCAAs and defence by secondary cell wall thickening in potato against P. infestans. These candidate genes can be used to replace non-functional genes in susceptible commercial cultivars, e.g. Shepody and Russet Burbank, based on genome-editing technologies to enhance quantitative resistance (Shan ).
Fig. 7.

Proposed model of StWRKY1 in regulating secondary cell wall thickening. MEK1, MAPK1; see main text for further details.

Proposed model of <span class="Gene">StWRKY1 in regulating secondary cell wall thickening. MEK1, MAPK1; see main text for further details.

Supplementary Data

Supplementary data are available at JXB online. Figure S1. P. <span class="Disease">infestans-infected <span class="Species">potato stems with susceptible (Shepody) and resistant (F06025) genotypes at 9 dpi. Figure S2. (A) The number of RR metabolites identified in stems of the resistant <span class="Species">potato genotype inoculated with water or P. infestans. (B) RR metabolites identified in the resistant potato genotype inoculated with a mock-solution or P. infestans and their classification according to chemical groups. Figure S3. In silico fragmentation of <span class="Chemical">RR metabolites. Figure S4. Laser scanning confocal micrographs of stem sections exhibiting secondary cell wall thickening due to <span class="Chemical">HCAAs (<span class="Chemical">HCAA blue fluorescence). Figure S5. Comparison of sequence variation between resistant and susceptible <span class="Gene">StWRKY1 promoter regions. Figure S6. (A) Analysis of purified recombinant <span class="Gene">StWRKY1 protein on 12% <span class="Chemical">SDS-PAGE. (B) EMSA showing DNA–protein interaction of the THT promoter with StWRKY1. Figure S7. (A) Schematic representation of TRV-VIGS vectors. (B) Silencing of the <span class="Gene">PDS gene. Table S1. Primer sequences used for quantifying <span class="Chemical">RR gene expression in <span class="Species">potato genotypes. Table S2. RR metabolites detected in the resistant <span class="Species">potato genotype following P. infestans or mock-solution inoculation. Table S3. Promoter analysis of <span class="Chemical">RR genes in the resistant <span class="Species">potato genotype. Table S4. Promoter analysis of <span class="Gene">StWRKY1 gene in resistant and susceptible <span class="Species">potato genotypes. Table S5. The differentially expressed H<span class="Chemical">SPs detected in <span class="Species">potato following P. infestans inoculation using RNA sequencing analysis.
  46 in total

Review 1.  A first line of stress defense: small heat shock proteins and their function in protein homeostasis.

Authors:  Martin Haslbeck; Elizabeth Vierling
Journal:  J Mol Biol       Date:  2015-02-10       Impact factor: 5.469

2.  Housekeeping gene selection for real-time RT-PCR normalization in potato during biotic and abiotic stress.

Authors:  Nathalie Nicot; Jean-François Hausman; Lucien Hoffmann; Danièle Evers
Journal:  J Exp Bot       Date:  2005-09-27       Impact factor: 6.992

3.  CaWRKY58, encoding a group I WRKY transcription factor of Capsicum annuum, negatively regulates resistance to Ralstonia solanacearum infection.

Authors:  Yuna Wang; Fengfeng Dang; Zhiqin Liu; Xu Wang; Thomas Eulgem; Yan Lai; Lu Yu; Jianju She; Youliang Shi; Jinhui Lin; Chengcong Chen; Deyi Guan; Ailian Qiu; Shuilin He
Journal:  Mol Plant Pathol       Date:  2012-10-11       Impact factor: 5.663

4.  Wheat Mds-1 encodes a heat-shock protein and governs susceptibility towards the Hessian fly gall midge.

Authors:  Xuming Liu; Chitvan Khajuria; Jiarui Li; Harold N Trick; Li Huang; Bikram S Gill; Gerald R Reeck; Ginny Antony; Frank F White; Ming-Shun Chen
Journal:  Nat Commun       Date:  2013       Impact factor: 14.919

5.  The small heat shock protein 20 RSI2 interacts with and is required for stability and function of tomato resistance protein I-2.

Authors:  Gerben Van Ooijen; Ewa Lukasik; Harrold A Van Den Burg; Jack H Vossen; Ben J C Cornelissen; Frank L W Takken
Journal:  Plant J       Date:  2010-08       Impact factor: 6.417

6.  MAPK signaling regulates nitric oxide and NADPH oxidase-dependent oxidative bursts in Nicotiana benthamiana.

Authors:  Shuta Asai; Kohji Ohta; Hirofumi Yoshioka
Journal:  Plant Cell       Date:  2008-05-30       Impact factor: 11.277

7.  OsWRKY28, a PAMP-responsive transrepressor, negatively regulates innate immune responses in rice against rice blast fungus.

Authors:  Tetsuya Chujo; Koji Miyamoto; Takeo Shimogawa; Takafumi Shimizu; Yuko Otake; Naoki Yokotani; Yoko Nishizawa; Naoto Shibuya; Hideaki Nojiri; Hisakazu Yamane; Eiichi Minami; Kazunori Okada
Journal:  Plant Mol Biol       Date:  2013-03-06       Impact factor: 4.076

8.  Silencing of hydroxycinnamoyl-coenzyme A shikimate/quinate hydroxycinnamoyltransferase affects phenylpropanoid biosynthesis.

Authors:  Laurent Hoffmann; Sébastien Besseau; Pierrette Geoffroy; Christophe Ritzenthaler; Denise Meyer; Catherine Lapierre; Brigitte Pollet; Michel Legrand
Journal:  Plant Cell       Date:  2004-05-25       Impact factor: 11.277

9.  Genome sequence and analysis of the tuber crop potato.

Authors:  Xun Xu; Shengkai Pan; Shifeng Cheng; Bo Zhang; Desheng Mu; Peixiang Ni; Gengyun Zhang; Shuang Yang; Ruiqiang Li; Jun Wang; Gisella Orjeda; Frank Guzman; Michael Torres; Roberto Lozano; Olga Ponce; Diana Martinez; Germán De la Cruz; S K Chakrabarti; Virupaksh U Patil; Konstantin G Skryabin; Boris B Kuznetsov; Nikolai V Ravin; Tatjana V Kolganova; Alexey V Beletsky; Andrei V Mardanov; Alex Di Genova; Daniel M Bolser; David M A Martin; Guangcun Li; Yu Yang; Hanhui Kuang; Qun Hu; Xingyao Xiong; Gerard J Bishop; Boris Sagredo; Nilo Mejía; Wlodzimierz Zagorski; Robert Gromadka; Jan Gawor; Pawel Szczesny; Sanwen Huang; Zhonghua Zhang; Chunbo Liang; Jun He; Ying Li; Ying He; Jianfei Xu; Youjun Zhang; Binyan Xie; Yongchen Du; Dongyu Qu; Merideth Bonierbale; Marc Ghislain; Maria del Rosario Herrera; Giovanni Giuliano; Marco Pietrella; Gaetano Perrotta; Paolo Facella; Kimberly O'Brien; Sergio E Feingold; Leandro E Barreiro; Gabriela A Massa; Luis Diambra; Brett R Whitty; Brieanne Vaillancourt; Haining Lin; Alicia N Massa; Michael Geoffroy; Steven Lundback; Dean DellaPenna; C Robin Buell; Sanjeev Kumar Sharma; David F Marshall; Robbie Waugh; Glenn J Bryan; Marialaura Destefanis; Istvan Nagy; Dan Milbourne; Susan J Thomson; Mark Fiers; Jeanne M E Jacobs; Kåre L Nielsen; Mads Sønderkær; Marina Iovene; Giovana A Torres; Jiming Jiang; Richard E Veilleux; Christian W B Bachem; Jan de Boer; Theo Borm; Bjorn Kloosterman; Herman van Eck; Erwin Datema; Bas te Lintel Hekkert; Aska Goverse; Roeland C H J van Ham; Richard G F Visser
Journal:  Nature       Date:  2011-07-10       Impact factor: 49.962

10.  Integrated metabolo-proteomic approach to decipher the mechanisms by which wheat QTL (Fhb1) contributes to resistance against Fusarium graminearum.

Authors:  Raghavendra Gunnaiah; Ajjamada C Kushalappa; Raj Duggavathi; Stephen Fox; Daryl J Somers
Journal:  PLoS One       Date:  2012-07-12       Impact factor: 3.240

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  33 in total

Review 1.  Prospects for potato genome editing to engineer resistance against viruses and cold-induced sweetening.

Authors:  Amir Hameed; Muhammad Aamer Mehmood; Muhammad Shahid; Shabih Fatma; Aysha Khan; Sumbal Ali
Journal:  GM Crops Food       Date:  2019-07-06       Impact factor: 3.074

2.  Ocimum sanctum, OscWRKY1, regulates phenylpropanoid pathway genes and promotes resistance to pathogen infection in Arabidopsis.

Authors:  Ashutosh Joshi; Gajendra Singh Jeena; Ravi Shankar Kumar; Alok Pandey; Rakesh Kumar Shukla
Journal:  Plant Mol Biol       Date:  2022-07-02       Impact factor: 4.335

3.  Metabolic pathway genes for editing to enhance multiple disease resistance in plants.

Authors:  Ajjamada C Kushalappa; Niranjan G Hegde; Kalenahalli N Yogendra
Journal:  J Plant Res       Date:  2022-08-29       Impact factor: 3.000

4.  Analysis of the potato calcium-dependent protein kinase family and characterization of StCDPK7, a member induced upon infection with Phytophthora infestans.

Authors:  Elisa Fantino; María Eugenia Segretin; Franco Santin; Federico Gabriel Mirkin; Rita M Ulloa
Journal:  Plant Cell Rep       Date:  2017-04-27       Impact factor: 4.570

5.  Metabolo-transcriptome profiling of barley reveals induction of chitin elicitor receptor kinase gene (HvCERK1) conferring resistance against Fusarium graminearum.

Authors:  Shailesh Karre; Arun Kumar; Dhananjay Dhokane; Ajjamada C Kushalappa
Journal:  Plant Mol Biol       Date:  2016-11-14       Impact factor: 4.076

6.  Integrated Metabolo-Transcriptomics Reveals Fusarium Head Blight Candidate Resistance Genes in Wheat QTL-Fhb2.

Authors:  Dhananjay Dhokane; Shailesh Karre; Ajjamada C Kushalappa; Curt McCartney
Journal:  PLoS One       Date:  2016-05-27       Impact factor: 3.240

7.  Dynamic metabolic reprogramming of steroidal glycol-alkaloid and phenylpropanoid biosynthesis may impart early blight resistance in wild tomato (Solanum arcanum Peralta).

Authors:  Balkrishna A Shinde; Bhushan B Dholakia; Khalid Hussain; Sayantan Panda; Sagit Meir; Ilana Rogachev; Asaph Aharoni; Ashok P Giri; Avinash C Kamble
Journal:  Plant Mol Biol       Date:  2017-10-04       Impact factor: 4.076

8.  The caffeoyl-CoA O-methyltransferase gene SNP replacement in Russet Burbank potato variety enhances late blight resistance through cell wall reinforcement.

Authors:  Niranjan Hegde; Sripad Joshi; Nancy Soni; Ajjamada C Kushalappa
Journal:  Plant Cell Rep       Date:  2020-11-03       Impact factor: 4.570

9.  Targeted and Untargeted Approaches Unravel Novel Candidate Genes and Diagnostic SNPs for Quantitative Resistance of the Potato (Solanum tuberosum L.) to Phytophthora infestans Causing the Late Blight Disease.

Authors:  Teresa Mosquera; Maria Fernanda Alvarez; José M Jiménez-Gómez; Meki Shehabu Muktar; Maria João Paulo; Sebastian Steinemann; Jinquan Li; Astrid Draffehn; Andrea Hofmann; Jens Lübeck; Josef Strahwald; Eckhard Tacke; Hans-Reinhardt Hofferbert; Birgit Walkemeier; Christiane Gebhardt
Journal:  PLoS One       Date:  2016-06-09       Impact factor: 3.240

Review 10.  Stress-Mediated cis-Element Transcription Factor Interactions Interconnecting Primary and Specialized Metabolism in planta.

Authors:  S A Sheshadri; M J Nishanth; Bindu Simon
Journal:  Front Plant Sci       Date:  2016-11-25       Impact factor: 5.753

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