A conserved secreted effector from the fungal pathogen Zymoseptoria tritici (ZtSSP2) promotes disease in wheat through an interaction with an E3 ubiquitin ligase.
Keywords: Disease, effector, E3 ubiquitin ligase, fungal pathogen, wheat, Zymoseptoria tritici
Abstract
Septoria tritici blotch (STB), caused by the ascomycete fungus Zymoseptoria tritici, is a major threat to wheat production worldwide. The Z. tritici genome encodes many small secreted proteins (ZtSSPs) that are likely to play a key role in the successful colonization of host tissues. However, few of these ZtSSPs have been functionally characterized for their role during infection. In this study, we identified and characterized a small, conserved cysteine-rich secreted effector from Z. tritici which has homologues in other plant pathogens in the Dothideomycetes. ZtSSP2 was expressed throughout Z. tritici infection in wheat, with the highest levels observed early during infection. A yeast two-hybrid assay revealed an interaction between ZtSSP2 and wheat E3 ubiquitin ligase (TaE3UBQ) in yeast, and this was further confirmed in planta using bimolecular fluorescence complementation and co-immunoprecipitation. Down-regulation of this wheat E3 ligase using virus-induced gene silencing increased the susceptibility of wheat to STB. Together, these results suggest that TaE3UBQ is likely to play a role in plant immunity to defend against Z. tritici.
Introduction
Plant innate immunity includes the recognition of broadly conserved pathogen- associated molecular patterns (PAMPs), for example fungal chitin, by plant pattern recognition receptors. This recognition initiates PAMP-triggered immunity (PTI) to mount a primary defence (Jones and Dangl, 2006). Pathogen effector proteins have evolved to bypass the initial defence response (PTI), resulting in a scenario termed effector triggered susceptibility. These proteins are typically small, cysteine-rich secreted proteins, and are known to manipulate host physiology and interfere with plant immunity (Dou and Zhou, 2012). In return, plants possess resistance genes which, upon recognition of pathogen effectors, activate effector triggered immunity (Jones and Dangl, 2006; Deslandes and Rivas, 2012).
Septoria tritici blotch (STB) caused by Zymoseptoria tritici is one of the most prevalent and economically devastating diseases in wheat-growing areas worldwide (Eyal et al., 1985; Fones and Gurr, 2015). As with other fungal pathogens, Z. tritici is known to produce a series of small secreted effector proteins (SSPs) throughout its colonization of wheat (Morais do Amaral et al., 2012; Mirzadi Gohari et al., 2015; Rudd et al., 2015). Only a handful of Z. tritici effectors have been characterized for their role in pathogenesis: Mg3LysM and Mg1LysM are lysin motif-containing effectors that play an important role during the initial symptomless period of Z. tritici infection (Marshall et al., 2011). Mg3LysM competes with host chitin receptors by binding fungal chitin fragments (Lee et al., 2014). Another Z. tritici effector, MgNLP, belongs to the Necrosis and Ethylene-Inducing Peptide 1 (NEP1)-like (NLP) family of proteins. It can induce cell death in Arabidopsis, but not in wheat (Motteram et al., 2009). In addition, Z. tritici secretes two necrosis-inducing protein effectors (ZtNIP1 and ZtNIP2) that induce cell death and chlorosis in some wheat cultivars (Ben M’ Barek et al., 2015).
Recently, several Z. tritici candidate effectors were found to induce a cell death phenotype when expressed in the non-host plant Nicotiana benthamiana (Kettles et al., 2017). One of these candidate effectors was subsequently identified as a novel fungal PAMP, termed Cell Death-Inducing 1 (ZtCDI1) (Franco-Orozco et al., 2017). Similarly, another candidate (Zt-6) was characterized as a secreted RNase which possesses cytotoxic activity against other microbes as well as plants (Kettles et al., 2018). Additionally, avirulence effectors, namely Avrstb6 (Zhong et al., 2017, Kema et al., 2018) and Avr3D1 (Meile et al., 2018), are known to be recognized by specific wheat cultivars. Recently, Z. tritici SSPs were found to interact with wheat septoria-responsive taxonomically restricted genes, namely TaSRTRG6 and TaSRTRG7, implicated in STB disease (Brennan et al., 2020). However, the function of these taxonomically restricted genes is unknown. While some Z. tritici candidate effectors have been identified, the molecular targets in wheat and their role during infection remain largely unknown. Therefore, there is a need to identify the wheat host proteins targeted by these Z. tritici effectors.
In this study, we selected a conserved effector candidate (ZtSSP2) similarly expressed in three different Z. tritici isolates. ZtSSP2 is a small secreted protein (22 kDa) with 10 cysteine residues that appears to be conserved within Z. tritici isolates and other Dothideomycete fungi. Furthermore, we showed that ZtSSP2 physically interacts with wheat E3 ubiquitin ligase (TaE3UBQ) and that virus-induced gene silencing (VIGS) of TaE3UBQ resulted in increased Z. tritici susceptibility. This study provides insights in to how a Z. tritici effector is likely to target a host ubiquitin system to aid successful colonization.
Materials and methods
Plant material, fungal strains, and growth conditions
Nicotiana benthamiana and wheat (Triticum aestivum) cvs Remus, Kanzler, and Longbow were used in this study. The cvs Remus and Kanzler are moderately susceptible to Z. tritici (Brady, 1983; Váry et al., 2015) while cv. Longbow is susceptible to Z. tritici (Brading et al., 2002). Nicotiana benthamiana plants were grown in growth chambers with 16 h of light at 22 °C/8 h of dark at 18 °C with 7500–8200 lux, relative humidity 70±5% throughout the experiments and 4- to 6-week-old N. benthamiana plants were used for localization studies.
Wheat seeds (cvs Remus and Longbow) were surface-sterilized and incubated for 3 d at 4 °C for seed stratification and then incubated for 4 d at room temperature without illumination to allow germination. Germinated seeds were transferred into plastic pots containing John Innes Compost No. 2 (Westland Horticulture, UK) and grown in a growth chamber at a 16 h day/8 h night photoperiod at 13 000 lux, relative humidity 80±5% at 19 °C/12 °C. For biolistic studies, wheat cv. Kanzler seedlings were grown in a growth chamber at a 16 h day/8 h night photoperiod at 15 000 lux, relative humidity 60±5% at 20 °C in pots containing IPK soil substrate.
The Z. tritici isolate IPO323 (Kema and van Silfhout, 1997) and Irish isolates 560.11 (Lynch et al., 2016) and 553.11 were used to infect the susceptible wheat cvs Remus and Longbow. Both 560.11 and 553.11 were isolated from the wheat cv. Alchemy in 2011 from South Wexford, Ireland (S. Kildea, personal communication). Prior to use, isolates were cultured on potato dextrose agar (PDA) and grown at 20 °C for ~5–7 d. Fourteen-day-old wheat seedlings were used for inoculation. For the disease assay, we used a 106 cfu ml–1 spore suspension as inoculum (Shetty et al., 2003; Fones et al., 2017; Zhong et al., 2017) to assess pycnidia and necrosis coverage following VIGS of TaE3UBQ. Fungal spores from PDA cultures were harvested and spore concentration was adjusted to 1×106 ml−1 in water containing 0.02% Tween-20. Spore suspensions (5 ml per plant) were sprayed to runoff (5 ml) per wheat plant using hand-held spray bottles. Control plants were sprayed with 5 ml of 0.02% Tween-20 solution. Inoculated plants were covered with polythene bags to ensure high humidity, and removed after 72 h.
Effector candidate selection
The publicly available secretome dataset from Morais do Amaral et al., 2012 which is based on the IPO323 reference genome (Goodwin et al., 2011), was mined to identify ZtSSP genes. A total of 262 candidate genes with EST support were screened based on small size (50–315 amino acids), resulting in 102 SSPs. These were sorted based on the number of cysteine residues, which resulted in 90 SSPs with multiple cysteines (see Supplementary Fig. S1 at JXB online). The amino acid sequence was then used to predict effector properties and any apoplastic localization using EffectorP & ApoplasticP (Supplementary Table S1) (Sperschneider et al., 2016, 2018). These were analysed using NCBI CDD (Conserved Domain Database) to update the prediction of any conserved domains. Candidate effector proteins were analysed using BLASTP (cut-off value ≥50% identity and e-value ≤0.01) to search for homologues in other plant pathogenic fungal species (Supplementary Table S2). Finally, those that were unannotated (Supplementary Table S1) and with a potential homologue in other plant pathogenic fungi were selected. Of these, 17 non-annotated ZtSSP genes were analysed for expression among three Z. tritici isolates (IPO323, 553.11, and 560.11) at 7 days post-infection (dpi) (Supplementary Table S3). Mycgr3G105265 (ZtSSP2) was selected for further study based on these criteria and the similar expression levels across all three isolates.
Transcriptomics analysis
Leaves (cv. Longbow) infected with the Z. tritici isolates IPO323, 553.11, and 560.11 from four independent replicates were collected at 7 dpi. RNA from each sample was extracted at room temperature using the RNeasy Plant Mini Kit (QIAGEN), purified from DNA contamination using DNase I (Sigma Aldrich), and stored at 20 °C. RNA quality control was assessed by Agilent 2100 bioanalyzer. RNA was extracted from two leaves from each of two seedlings infected with each isolate over four independent experiments (n=16), pooled, and sent for RNA sequencing on an Illumina HiSeq 2000 (paired-end 100 bp reads) at the 250 Bejing Genome Institute (BGI) (Hong Kong).
Expression analysis was performed by General Bioinformatics (Reading, UK). The reference genome for Z. tritici was from the MG2 assembly from ENSEMBL Fungi release. The reference genome for T. aestivum was from the IWGSC1+popseq assembly from ENSEMBL Plants release. The quality control of raw reads was assessed with FastQC v0.11.5 (Andrews, 2010). Reads were trimmed to remove contaminating adapter sequences and poor-quality bases at the beginning of the reads using Trimommatic (Bolger et al., 2014). Clean reads generated were 185 725 832 for IPO323 isolate-infected leaf samples, 187 073 058 for 553.11 isolate-infected leaf samples, and 183 036 662 for the 560.11 isolate-infected leaf sample. Unfiltered reads were aligned to the Z. tritici genome using Tophat v2.1.1 aligner (Kim et al., 2013). BAM files for reads mapped to the Z. tritici genome were converted to SAM files and sorted for further analysis using Samtools v 1.3 (Li et al., 2009). Then, reads were counted using the htseq-count script of the HTSeq v 0.6.0 (Anders et al., 2015). Fragments per kilobase of transcript per million mapped reads (FPKM) values for each sample were calculated using the Cufflink package (Trapnell et al., 2010). Genes with a total read count <1 were filtered out. Counts were normalized using TMM (Robinson et al., 2010), and the common dispersion BCV (square root dispersion) was set at 0.4. Pairwise comparisons between datasets were made using the exact test (Robinson et al., 2008). Filtered reads were aligned to the T. aestivum genome using Tophat v2.1.1. The BAM file containing the unmapped reads was converted back to FastQ format using the bam2fastx utility of Tophat (Kim et al., 2013). The alignment to the Z. tritici genome and subsequent analysis were performed as described for the unfiltered reads.
Expression of TaE3UBQ homeologues was determined using expVIP (expression Visualization and Integration Platform) (Borrill et al., 2016).
Amplification and cloning of ZtSSP2
ZtSSP2 was amplified from wheat (cv. Remus) infected with Z, tritici isolate 560.11 cDNA with and without the signal peptide using Phusion High Fidelity Polymerase (New England Biolabs) and primers flanked with Gateway adapter sequence (Supplementary Table S4). AttB-flanked PCR products were purified using the QIA quick PCR Purification Kit (Qiagen), cloned into pDONR207 (Invitrogen) using BP clonase II enzyme mix (Thermo Fisher Scientific), and subsequently cloned into the binary vector pEARLYGATE 101 (pEG101) (Earley et al., 2006) using LR clonase II enzyme. Entry clones were sequence verified by sequencing (Macrogen Europe) before LR reaction. All other destination vectors are described separately.
Validation of protein secretion using a yeast sucrose secretion system
A Gateway-compatible vector (pGADT7) for yeast secretion assay and suc2 yeast mutant (strain SEY6210) was utilized (Brennan et al., 2020). Briefly, the invertase (SUC2) gene with and without signal peptide was amplified from the yeast strain BY4741 with a linker (Kex2 site) added between the Gateway reading frame and the SUC2 gene. This construct was ligated into the pGADT7 vector and verified by sequencing. Candidate ZtSSP2 and ΔSP-ZtSSP2 were cloned into the yeast secretion vector in-frame with the N-terminus of the SUC gene and transformed into the suc2 yeast mutant. Transformants were PCR validated and selected on a synthetic dropout medium (minus Trp and Leu) with sucrose as a sole carbon source. Yeast spotting was performed with dilutions of 10–1, 10–2, and 10–3, respectively. The experiment was repeated three times independently with three replicates per experiment.
In silico analysis
BLASTp search was performed using the NCBI (National Centre for Biotechnology Information) BLAST service (http://blast.ncbi.nlm.nih.gov/Blast.cgi) and uniprot blast (http://www.uniprot.org/blast/). Sequences of the 20 closest homologues of ZtSSP2 (Supplementary Table S5) were aligned using ClustalW, and a phylogenetic tree was constructed using the maximum likelihood (ML) method with 1000 bootstrap replicates in Mega7 (Kumar et al., 2016). Prediction of conserved domains, transmembrane domains, and protein structure was performed with NCBI CDD, TMHMM Server v2 (http://www.cbs.dtu.dk/services/TMHMM/), and MemBrain 3.1, respectively.
RNA extraction and quantitative RT-PCR
A 100 mg aliquot of infected leaves (cv. Remus) per sample was collected at different days post-infection, frozen in liquid nitrogen, and stored at –80 °C. Total RNA was extracted from Z. tritici-infected wheat leaves using the RNeasy Mini Kit (Qiagen) following the manufacturer’s instructions. RNA was then subjected to on-column DNase treatment (Sigma). Quantification of total RNA was carried out using a Nanodrop ND-1000 spectrophotometer. Reverse transcription of 1–2 µg of RNA for cDNA synthesis was carried out using the Omniscript RT Kit (Qiagen).
Real-time quantitative PCR (qRT-PCR) was carried out in 12.5 µl reactions including 1.25 μl of a 1:5 (v/v) dilution of cDNA, 0.2 μM of primers, and 1×SYBR Premix Ex Taq (Tli RNase H plus, RR420A; Takara). PCR conditions were as follows: 1 cycle of 1 min at 95 °C; 40 cycles of 5 s at 95 °C and 20 s at 60 °C; and a final cycle of 1 min at 95 °C, 30 s at 55 °C, and 30 s at 95 °C for the dissociation curve. For ZtSSP2 expression, RNA was extracted from the third leaf of wheat seedlings and from three individual leaves from different seedlings per time point per replicate. Three independent experiments were performed. qPCR was performed using the QuantStudio 7 Flex Real-Time PCR system (Applied Biosystems) and the relative gene expression was calculated as 2−(Ct target gene–Ct housekeeping gene) as previously described (Livak and Schmittgen, 2001). The Z. tritici tubulin gene was used as housekeeping gene control for the ZtSSP2 time course. For VIGS, Ct housekeeping gene=geometric mean (Ct Tacdc48:Ct Taelf4E) of two wheat reference genes: cell division control protein 48 (TaCDC48) and Eukaryotic Initiation factor 4E (TaeIF4E) (Lee et al., 2014).
Single-cell death assay in wheat
The cell death assay in wheat was performed as previously described (Pliego et al., 2013). Briefly, seven leaves of 7-day-old wheat (~8 cm in length) cv. Kanzler were co-bombarded (PDS-1000/He System, Bio-Rad) with 7 µg of pEG101:(ΔSP) ZtSSP2 (overexpression), 7 µg of pUbiGUS (β-glucuronidase reporter for transformation efficiency), and 7 µg of the B-Peru/C1-expression plasmid pBC17 (Schweizer et al., 2000) for induction of anthocyanin production (as a marker for live cells). Four days post-bombardment, cells accumulating anthocyanin were counted and leaves were then stained with 5-bromo-4-chloro-3-indolyl glucuronide (X-gluc) solution overnight at 37 °C. Leaves were destained with trichloroacetic acid (Douchkov et al., 2005). The number of cells with visible GUS stain was counted and the relative number of anthocyanin-producing cells was calculated as the ratio of anthocyanin-accumulated cells to the number of GUS-expressing cells. The experiment was repeated four times independently and seven leaves were counted per replicate.
Yeast two-hybrid analysis
The cDNA library was comprised of leaf three of wheat seedlings cvs Stigg and Longbow which were infected with a mixture of Z. tritici isolates (IPO323, 560.11, and Cork cordiale 4) (Kema et al., 1997; Lynch et al., 2016; Brennan et al., 2020), collected at various time points (1, 2, 4, 6, 8, 10, and 12 dpi) then pooled together for RNA extraction. Briefly, the cDNA of (ΔSP) ZtSSP2 was cloned into the pB27 vector as an N-LexA-bait-C fusion to LexA. The construct encoding ZtSSP2 was used as bait to screen the cDNA library of wheat leaves inoculated with Z. tritici.
The initial yeast two-hybrid screening was performed by Hybrigenics Services, S.A.S. (http://www.hybrigenics-services.com). A total of 76.4 million clones were screened and 73 positive clones were processed following selection on selective medium lacking Trp, Leu, and His supplemented with 0.5 mM 3-amino-1,2,4-triazole (3AT). The prey fragments from positive clones were amplified and sequenced. The putative high confidence interactors are listed in Supplementary Table S6. These sequences were used to identify corresponding proteins in the NCBI GenBank database including TaE3UBQ. For analysis of a specific interaction, the coding sequence of TaE3UBQ, TaE3UBQ126–219, the barley homologue of E3UBQ (HvUBQ), (ΔSP) ZtSSP2, and the Ramularia collo-cygni homologue of ZtSSP2 (RcSSP2) was cloned into the vector pDONR207 using Gateway cloning technology. They were then recombined into bait and prey vectors derived from pGADT7 and pGBKT7 plasmids (Clontech, USA). Analysis of protein–protein interactions was performed using the Gal4 two-hybrid assay as described in Perochon et al. (2010). As a negative control to ensure specific interactions with ZtSSP2, another small secreted effector candidate (ΔSP) Zt-10 was used (Kettles et al., 2017), while the positive control included TaSSP6 and Zt-06 (Zhou et al., 2020).
Agrobacterium-mediated transient expression
Agrobacterium tumefaciens strain GV3101 was transformed by electroporation with effector constructs and grown for 48 h at 28 °C at 220 rpm in LB medium with the antibiotics gentamicin (25 mg ml–1) and kanamycin (50 mg ml–1). Transformed cells were harvested by centrifugation and suspended in infiltration buffer (10 mM MgCl2, 10 mM MES, pH 5.6, and 150 µM acetosyringone) at an absorbance at 600 nm (OD600) of 0.5. The bacterial suspension was left at room temperature for 2 h before infiltration into 4- to 6-week-old N. benthamiana on the abaxial side of the leaves using a 1 ml needleless syringe.
In planta validation of protein–protein interaction
For in planta analysis of the interaction between (ΔSP) ZtSSP2 and TaE3UBQ, the coding sequences were cloned in the Gateway vector pDONR207 (Invitrogen, USA) and subsequently cloned into the bimolecular fluorescence complementation (BiFC) vectors pDEST-GW VYCE, pDEST-VYCE GW, pDEST-GW VYNE, and pDEST-VYNE GW (Gehl et al., 2009). This resulted in constructs where proteins were fused at either the N- or C-terminus to the yellow fluorescent protein C-terminal (YFPC) or N-terminal fragment (YFPN). For localization of TaE3UBQ, LR reaction was performed with pGWB406 (Nakagawa et al., 2007). Vectors were transformed into A. tumefaciens strain GV3101 by electroporation. Transformants containing the plasmids were selected on LB agar plates containing 10 µg ml−1 rifampicin, 20 µg ml−1 gentamicin, and 50 µg ml−1 kanamycin. A mix of Agrobacterium transformants was prepared: OD600=0.5, 0.5, and 0.1 of YFPC construct, YFPN, and P19 silencing construct, respectively. This mix was syringe-infiltrated into leaf epidermal cells of 3- to 4-week-old N. benthamiana by making a small injury to the leaf and pressure infiltrating. For TaE3UBQ localization, MG132 (100 µM) was infiltrated into leaves for 6 h before analysis to prevent protein degradation. Images were analysed using a confocal laser scanning microscope (Olympus fluoview FV1000). Green fluorescent protein (GFP) and YFP excitation was performed at 515 nm and emission detected in the 530–630 nm range. These experiments were repeated at least twice independently, and each experiment included three leaves, each from an individual plant.
Co-immunoprecipitation (Co-IP) assay
The protein construct was transiently overexpressed in N. benthamiana leaves using agro-infiltration. Leaf samples were collected at 48 h post-infiltration, and TaE3UBQ and GFP samples were infiltrated with MG132 (100 µM) 6 h before collection. Proteins were extracted using GTEN buffer (25 mM Tris–HCl pH 7.5, 150 mM NaCl, 1 mM EDTA, 10% glycerol 0.1% Tween-20) with 2% (w/v) polyvinylpolypyrrolidone (PVPP), 10 mM DTT, and a protease inhibitor cocktail (Sigma). Samples were incubated for 15 min in lysis buffer (4 °C). Lysate was centrifuged at 10 000 g for 10 min and 250 µl of supernatant was subjected to Co-IP with GFP-Trap®-M magnetic beads (Chromotek, Germany) for affinity binding of GFP-fused proteins at 4 °C for 4 h. The beads were washed three times with 500 µl of extraction buffer. Protein bound to magnetic beads was boiled for 10 min for elution. Eluted proteins and crude proteins (input) were detected by western blotting. Immunoblotting of the proteins on the PVDF membrane were detected using the corresponding anti-HA (1:1000; Roche) and anti-GFP (1:5000; Invitrogen) antibodies.
BSMV-mediated gene silencing
The Barley stripe mosaic virus (BSMV)-derived VIGS vectors used in this study consisted of the wild-type BSMV ND18 α, β, γ tripartite genome (Holzberg et al., 2002; Scofield et al., 2005). A BSMV γ vector construct containing a 185 bp fragment of the barley phytoene desaturase gene (BSMV:PDS) was used as positive control for VIGS, as previously described (Scofield et al., 2005) (Supplementary Fig. S2). Two independent, non-overlapping gene constructs (UBQV1 and UBQV2) were used for gene silencing (Supplementary Fig. S3). Both gene fragments were PCR-amplified and chosen to target TaE3UBQ-1D and its homoalleles (TaE3UBQ-1A and TaE3UBQ-1B). The specificity and silencing efficiency were evaluated by BLASTn and using the SGN VIGS tool with T. aestivum IWGSC2 as a database (Fernandez-Pozo et al., 2015). PCR-amplified fragments were ligated in the antisense orientation into NotI/PacI-digested BSMV γ vector pSL038-1 (Scofield et al., 2005). Construct authenticity was verified by sequencing.
Vectors containing the BSMV α, γ genomes and the γ genome vectors containing either BSMV:UBQV1, BSMV:UBQV2, or BSMV:PDS were linearized with MluI. The BSMV β genome was linearized with SpeI. Capped in vitro transcripts were prepared from the linearized plasmids using the mMessage mMachine T7 in vitro transcription kit (AM1344, Ambion) following the manufacturer’s protocol. RNA quantity and quality were evaluated using the ND-1000 spectrophotometer (NanoDrop, Thermo Fisher Scientific, USA) measurement. Capped BSMV transcripts (1:1:1) with 1× FES buffer were rub-inoculated onto the second leaf of the two-leaf stage of the wheat cv. Longbow. BSMV:PDS was used as positive control, whereas BSMV γ and 1× FES buffer were used as negative control. Fourteen days after virus inoculation, the third and fourth leaves of virus-inoculated wheat seedlings (12 plants per treatment per trial) were infected with Z. tritici (560.11). The third leaves were collected at 10 dpi and RNA extracted individually from each of the leaves per treatment. The fourth leaves were used for STB disease symptom phenotyping at 21 dpi (10 leaves per treatment, three independent trials). Seven leaves per treatment per replicate were submerged in 10 ml of deionized water for 1 h and vortexed to collect spores, and 10 µl was counted using a haemocytometer.
Statistical analysis
Statistical analysis of the data was carried out using the R statistical software (R Core Team, 2016). All data from the studies were checked for normal distribution and, when necessary, variances were stabilized using Box–Cox transformation. A generalized linear model was used to test the data, and significant differences were determined using the Tukey test at P<0.05. For analysis of VIGS data (phenotyping and spore counts), data were fitted to a generalized linear mixed model with binomial distribution to account for overdispersion and zero inflation. Significance of differences between treatments was assessed using the Tukey’s HSD.
Results
ZtSSP2 is a conserved small secreted protein candidate
The publicly available secretome dataset from Morais do Amaral et al. (2012) was mined to identify Z. tritici small secreted proteins (ZtSSPs). A total of 262 candidate genes with EST support were screened based on small size (50–315 amino acids), resulting in 102 ZtSSPs. These proteins were then sorted based on the number of cysteine residues (≥1), which resulted in 90 ZtSSPs (Supplementary Fig. S1). The amino acid sequence was then used to predict effector properties and any apoplastic localization using EffectorP & ApoplasticP (Supplementary Table S1). Further analysis of these candidates showed that 52% were predicted to be effector proteins, while 81% were predicted to be apoplastic proteins (Supplementary Table S1) (Sperschneider et al., 2016, 2018). The 90 candidate effector proteins were analysed using BLASTP (cut-off value as ≥50% identity and E-value ≤0.01) to search for homologues. Fifty-nine of these ZtSSP candidates had a homologue in another plant-pathogenic fungal species (Supplementary Tables S2, S7). Of the 59 ZtSSPs, 13 were found to have a homologue in Zymoseptoria brevis only (Supplementary Table S7). Forty-three ZtSSPs had a homologue in Z. brevis as well as another plant pathogen, while three had a homologue in a plant-pathogenic species other than Z. brevis (Supplementary Table S2). Of the 43 ZtSSPs, 17 were non-annotated proteins and 26 candidates had annotated protein domains. We examined the expression of these 17 conserved non-annotated effector candidates across three Z. tritici isolates at 7 dpi. The expression of Mycgr3G105265 (ZtSSP2) was similar (FKPM 148, 126, and 177) across all three isolates (IPO323, 553.11, and 560.11) compared with other ZtSSP candidates (Supplementary Table S3). We selected the effector candidate ZtSSP2 for functional characterization as we reasoned that the conservation across different plant pathogenic species (Supplementary Tables S2, S5) and the similar levels of expression across three different Z. tritici isolates (Supplementary Table S3) may indicate a conserved core effector.
ZtSSP2 is predicted to have an N-terminal signal peptide (0.9986 likelihood, SignalP4.1) (Nielsen et al., 2017). To validate this, we tested the secretion of ZtSSP2 using a yeast secretion assay (Fig. 1A; Brennan et al., 2020). The full-length ZtSSP2 protein could complement the suc2 knockout yeast strain allowing it to grow in selection media containing sucrose as the sole source of carbon (Fig. 1B). These characteristics suggest that ZtSSP2 is a conserved secreted effector protein.
Homologues of ZtSSP2 are conserved in the Dothideomycete fungi
For ZtSSP2, we found additional potential homologues in other Dothideomycetes. All the potential homologues of ZtSSP2 identified within the plant pathogenic Mycosphaerellaceae family were of similar size, possessed an N-terminal signal peptide, and contained 10 conserved cysteine residues (Fig. 2A). For example, the homologue from the conifer-infecting fungi Dothistroma septosporum shares 53.57% sequence similarity, that from the barley pathogen R. collo-cygni is 51.67% identical to ZtSSP2, and that from the banana pathogen Mycosphaerella fijiensis shares 51% sequence identity. The majority of homologues (13) were from plant pathogens, but other homologues were from two Eurotiomycetes which are human pathogens (Fig. 2B; Supplementary Table S5). There was also an outgroup of Dothidoemycetes which were non-pathogenic (Fig. 2B).
ZtSSP expression during STB infection in wheat
Pathogen effector genes are known to be induced transcriptionally during infection of the host plant (Stergiopoulos and de Wit, 2009). We performed a quantitative reverse transcription–PCR (qRT–PCR) to determine the expression of ZtSSP2 during infection. The Z. tritici isolate 560.11 (Lynch et al., 2016) was used to infect wheat (cv. Remus) and the expression of ZtSSP2 was determined over 2, 4, 8, 10 dpi (representing the biotrophic stage), 14, and 21 dpi (the necrotrophic stage) compared with the uninfected control (Fig. 3). Based on expression analysis, ZtSSP2 was expressed from 2 dpi through to 21 dpi. The expression was significantly higher at 2 dpi compared with all other time points, suggesting a potential role early in biotrophy. There was a significant dip in expression at 14 dpi compared with 2 and 21 dpi (Fig. 3).
ZtSSP candidates did not induce cell death in wheat
We used a transient leaf expression system developed by Pliego et al. (2013) to assess whether ZtSSP2 can induce cell death. In this system, transient expression of the maize transcription factor genes B-Peru and C1 leads to accumulation of anthocyanin only in intact vacuoles of viable cells and can therefore be used as a cell death marker (Schweizer et al., 2000). We co-bombarded the pEG101:(ΔSP) ZtSSP2 overexpression construct with pUbiGUS (cell death-insensitive transformation marker) and the anthocyanin expression plasmid pBC17 into wheat leaves. Co-bombardment of pBC17 with pUbiGUS and the vector pEG101 was used as a negative control, while Zt-6, previously reported to induce cell death in wheat (Kettles et al., 2018), was used as a positive control. The number of cells accumulating anthocyanin (Fig. 4A) was counted and then leaves were subsequently stained for GUS activity (Fig. 4B). The number of cells stained with GUS was also counted. The ratio of anthocyanin to GUS cells was used as an estimate of cell death. The empty vector control (pEG101) resulted in the average ratio of 1.27 (Fig. 4C), while the positive control (pEG101:Zt-6) showed a reduced ratio of 0.3 (P<0.05). The anthocyanin to GUS ratio obtained from bombardment of ZtSSP2 was not significantly different from the control, suggesting no cell death activation by this effector candidate in wheat.
Candidate ZtSSP2 interacts with wheat ubiquitin ligase in vitro and in planta
We performed a yeast two-hybrid screen to determine if ZtSSP2 could interact with wheat host components. A cDNA expression library generated from Z. tritici-infected wheat leaves was screened using ZtSSP2 as bait. A wheat cDNA clone encoding the extracellular region (amino acids 126–219) of a C3H2C3-type RING E3 ubiquitin ligase protein (TaE3UBQ) was identified. Pathogen effectors have been reported to target the host ubiquitin system to manipulate host defence (Park et al. 2012). To investigate if ZtSSP2 interacts with the wheat E3 ligase (TaE3UBQ) and thereby manipulates the wheat host ubiquitin–proteasome system (UPS), this protein–protein interaction was tested in yeast (Saccharomyces cerevisiae) using a galactose-responsive transcription factor GAL4-based yeast two-hybrid system (Fig. 5A). We cloned TaE3UBQ and TaE3UBQ126–219 from wheat cDNA and found that (ΔSP)ZtSSP2 interacted with TaE3UBQ126–219 but not with the full-length protein in yeast (Fig. 5A). The TaE3UBQ homologue HvE3UBQ was found in barley, and the ZtSSP2 homologue RcSSP2 was found in the barley pathogen R. collo-cygni (Fig. 6). Therefore, this interaction was also tested (Supplementary Fig. S4). However, no positive interaction between (ΔSP)RcSSP2 and HvE3UBQ was observed. When RcSSP2 was replaced with (ΔSP)ZtSSP2, we found that HvE3UBQ126–219 also interacts with ZtSSP2 in yeast (Fig. S4).
Additionally, the interaction between (ΔSP)ZtSSP2 and TaE3UBQ was investigated in planta using the BiFC system (Gehl et al., 2009). TaE3UBQ and (ΔSP)ZtSSP2 were fused at the N- and C-terminus, respectively, of YFP. The resulting constructs were co-expressed using Agrobacterium infiltration in N. benthamiana leaves. A strong YFP signal was observed when YFPN–TaE3UBQ was co-infiltrated with YFPC– (ΔSP)ZtSSP2 (Fig. 5B). To test if the interaction of TaE3UBQ was specific to ZtSSP2, co-infiltration with another putative Z. tritici effector, YFPC–(ΔSP)Zt-10, was performed. No YFP fluorescence was observed with this construct, suggesting no interaction of TaE3UBQ with candidate (ΔSP)Zt-10. Cnx6 homodimers were used as a positive control (Gehl et al., 2009).
We used Co-IP to further validate the interaction of TaE3UBQ with ZtSSP2. The HA-tagged TaE3UBQ was co-expressed with a GFP fusion of ZtSSP2 in N. benthamiana and subjected to Co-IP assay using GFP-Trap®-M magnetic beads. Western blot analysis showed that only HA-tagged TaE3UBQ was co-immunoprecipitated on GFP-Trap®-M beads and specifically detected with the anti-HA antibody in the presence of GFP–ZtSSP2, but not in the GFP control (Fig. 5C). Taken together, these results reveal that ZtSSP2 interacts with TaE3UBQ in vitro and in planta.
Wheat ubiquitin represents is a C3H2C3 ring finger E3 protein ligase with a transmembrane helix
The full-length cDNA of TaE3UBQ (TraesCS1D02G119700) was obtained by comparing the clone sequence with the EnsemblPlants IWGSC database. BLASTp showed that TaE3UBQ has two additional homeologues in wheat, namely TraesCS1A02G118800 and TraesCS1B02G138300, sharing 99.3% and 97% similarity with its 1D variant, respectively. The TaE3UBQ ORF encodes a RING finger protein of 420 amino acids, with a theoretical pI value of 6.06 and a deduced molecular mass of 46.2 kDa (Fig. 6A). Protein sequence analysis using NCBI CDD (Marchler-Bauer et al., 2011) and MemBrain 3.1 (Yin et al., 2018) programs showed a C-terminal C3H2C3 zinc-finger domain with a transmembrane helix and extracellular loop region (Fig. 6A, B; Supplementary Fig. S5). Alignment of TaE3UBQ revealed that the RING finger domain is conserved among various plant species (Fig. 6B). We performed localization of GFP-tagged TaE3UBQ in N. benthamiana leaves. The fluorescent signal from GFP-TaE3UBQ was predominantly localized at the cell periphery similar to the signal obtained by expression of a plasma membrane marker pm-yk (Nelson et al., 2007), whereas the GFP control was distributed throughout the cell including the nucleus (Fig. 6C).
Silencing TaE3UBQ enhances wheat susceptibility to Z. tritici
We examined the expression of TaE3UBQ homeologues using expVIP (expression Visualization and Integration Platform) (Borrill et al., 2016). All three wheat homeologues have a similar expression profile and levels were not significantly different between mock and Z. tritici treatment (Supplementary Fig. S6). VIGS was used to determine the role of TaE3UBQ during the interaction of Z. tritici with wheat (cv. Longbow) (Fig. 7). Two independent non-overlapping constructs (UBQ_V1and UBQ_V2) were used to target all three TaE3UBQ homeologues (Supplementary Fig. S3).
Expression of three homeologues was measured using a primer pair in a conserved region (Supplementary Fig. S3). qRT–PCR analysis of gene-silenced leaf tissue (BSMV:UBQ_1 and BSMV:UBQ_2) showed that, compared with the control (BSMV:00) plants, TaE3UBQ expression (all homeologues) was significantly reduced by 53–70% in mock-inoculated leaves and by 59–76% in Z. tritici-inoculated leaves of the wheat cv. Longbow (Fig. 7A). Silencing using construct UBQ_V1 showed higher efficiency than construct UBQ_V2. Phenotypic assessment of wheat leaves at 21 d post-Z. tritici infection revealed that BSMV:UBQ_V1 and BSMV:UBQ_V2 leaves had significantly increased disease coverage as represented by higher necrosis and pycnidia coverage compared with control leaves (BSMV:00) (Fig. 7B, C). This was reflected by the significantly higher Z. tritici spore numbers found in BSMV:UBQ_V1- and BSMV:UBQ_V2-treated leaves compared with the BSMV:00 control (Fig. 7D).
Discussion
The major components of the filamentous plant pathogens secretome are often small secreted cysteine-rich proteins (SSPs) (Stergiopoulos and de Wit, 2009). These SSPs are small (300 amino acids) with cysteine residues and a secretion signal at the N-terminus. SSPs from plant pathogens play a key role in subverting host plant immunity and facilitating colonization (Hogenhout et al., 2009; Rafiqi et al., 2013). Therefore, understanding how pathogen SSPs function in a host plant and the potential host targets is key for complete understanding of the molecular mechanism of pathogenicity and disease.
In this study, we characterize a small secreted protein ZtSSP2, as an effector candidate, from Z. tritici which is conserved across the Dothideomycetes. Fungal pathogen effectors are secreted in the host, have diverse functions, and are differentially regulated throughout infection (Chen et al., 2013). ZtSSP2 was functionally secreted using a yeast secretion system, suggesting it is a potential pathogen secreted effector candidate protein (Fig. 1).
Zynoseptoria tritici has a long latent/biotrophic phase prior to necrotrophy and has been described as a hemibiotroph (Rudd et al., 2015) or a latent necrotroph (Sánchez-Vallet et al., 2015). During the latent phase which lasts for 7–10 d, Z. tritici may be endophytic (Sánchez-Vallet et al., 2015) or even epiphytic (Fones et al., 2017). ZtSSP2 expression levels were highest at 2 dpi during the latent/biotrophic phase of the pathogen before dipping at 14 dpi following the switch to the necrotrophic phase which takes place from around 10 dpi (Rudd et al., 2015). A biphasic expression pattern was also reported for ZtSSP2 previously (Mirzadi Gohari et al., 2015).
To test a possible role for ZtSSP2 in cell death and potentially the necrotrophic lifestyle of Z. tritici, we utilized a biolistic approach with an anthocyanin marker for cell death in wheat. Our results showed that ZtSSP2 does not induce cell death in wheat leaves. Ubiquitin E3 ligases can act as either positive or negative regulators of plant immunity controlling the degradation of different protein substrates (McLellan et al., 2020). In rice, the RING E3 ligases APIP6 and APIP10 are positive regulators of PTI as well as targets of the Magnaporthe oryzae effector AvirPiz-t. When either APIP6 or APIP10 is silenced, PTI is compromised, including impaired reactive oxygen species production and defence gene induction (Park et al., 2016). The reactive oxygen species hydrogen peroxide is known to restrict Z. tritici growth during the latent/biotrophic phase (Shetty et al., 2003). It is conceivable that TaE3UBQ plays a similar role in wheat, positively regulating PTI. Overexpression of ZtSSP2 in planta may promote interaction with TaE3UBQ and compromise PTI which would not induce cell death, in agreement with our results (Fig. 4). Silencing TaE3UBQ would also compromise PTI. This is in line with the increased necrosis and pycnidia formation observed with VIGS of TaE3UBQ (Fig. 7). Thus, ZtSSP2 may interact with TaE3UBQ to compromise E3UBQ ligase activity, suppressing PTI.
ZtSSP2 has homologues in other members of the Dothideomycetes class, including the pine-infecting hemibiotroph D. septosporum, banana-infecting P. fijiensis, and the barley pathogen R. collo-cygni. This broad conservation suggests that ZtSSP2 may be a core effector candidate in Dothideomycete pathogens. Of the homologous proteins identified, 13 of these are from plant pathogens (Fig. 2B). We explored a possible interaction between R. collo-cygni RcSSP2 and barley HvE3UBQ. However, we did not observe a strong interaction of RcSSP2 (homologue of ZtSSP2 with 51.67% similarity) with HvE3UBQ or HvE3UBQ126–219; however, ZtSSP2 was found to interact with HvE3UBQ126–219 (Supplementary Fig. S4), demonstrating that this plant host target is conserved. Homologues do also exist in two Eurotiomycetes (Cyphellophora europaea and Fonsecaea monophora; 40–45% homology) which can cause disease in humans (de Hoog et al., 2000; Queiróz et al., 2018). In the outgroup of other Dothideomycetes which are non-pathogenic (Fig. 2B), some of these have been reported to be lichen-forming fungi. Recently, lichen-forming fungi were reported to express SSPs (Armaleo et al., 2019).
A range of virulence effectors from plant pathogens concentrate into a limited number of host cellular target ‘hubs’ to subvert the host defence and enhance virulence (Mukhtar et al., 2011). One of the key regulatory networks in plant defence is the UPS. This UPS regulates multiple aspects of plant immunity involving recognition, receptor protein accumulation, and subsequent defence signalling (Marino et al., 2012; Ustun et al., 2016). Therefore, manipulation of the host UPS by effectors is central to increasing pathogen virulence. Here, the Z. tritici candidate effector ZtSSP2 was found to physically interact with a wheat host E3 ubiquitin ligase (TaE3UBQ) both in yeast and in planta. Domain analysis of TaE3UBQ showed that it possesses a conserved RING-finger domain and four transmembrane domains accompanied by an extracellular loop in the middle (Fig. 6A; Supplementary Fig S5). The localization of TaE3UBQ in N. benthamiana leaves suggests that TaE3UBQ could be localized predominantly to the cell periphery as a membrane-localized protein. RING-finger domains are characteristic of RING-class E3 ubiquitin protein ligases that transfer ubiquitin from an E2 enzyme to a substrate protein. The RING domain mediates the interaction with the appropriate E2 enzyme (Van Wijk et al., 2009). These E3 ligases are central to plant immune responses and are also known targets for pathogen-secreted effector proteins. One such example was effector AvrPiz-t from the blast fungus M. oryzae. AvrPiz-t has been shown to interact with and inhibit the rice RING-type E3 ubiquitin ligase (APIP6) in vitro, resulting in the suppression of the APIP6-mediated PTI response (Park et al., 2012). The effector AVR3a from P. infestans interacts with and stabilizes the host U-box E3 ligase CMPG1 (Cys, Met, Pro, and Gly protein 1) that is required for INF-1-triggered cell death. The Avr3a interaction with CMPG1 leads to CMPG1 modification and thus prevents host cell death induction during infection (Bos et al., 2010).
In wheat, we found three homoalleles of the E3UBQ gene on chromosome 1DS, 1A, and 1B, and we hypothesize that all of them could be targets of ZtSSP2 as they appear to be conserved (Supplementary Fig. S6). For example, this was also observed for the stripe rust effector PEC6 that interacts with wheat adenosine kinases to suppress wheat defence (Liu et al., 2016). To understand the role of TaE3UBQ during Z. tritici infection, we silenced the gene transcript using BSMV VIGS. Silencing of TaE3UBQ resulted in increased Z. tritici symptoms. We speculate that ZtSSP2 binding to TaE3UBQ suppresses the wheat ubiquitin system and PTI. There exists accumulating evidence that E3 ubiquitin ligase is a central regulator of plant immunity and signalling (Trujillo and Shirasu, 2010; Marino et al., 2012). In rice, the resistance gene Xa21 (Xanthomonas oryzae pv. oryzae locus 21) was shown to require a RING-E3 ubiquitin XA21-binding protein 3 (XB3) which plays a key role in accumulation of the XA21 protein and Xa21-mediated disease resistance (Wang et al., 2006). In Arabidopsis, the Plant U-Box 12 (PUB12), a U-box E3 ligase, is involved in the PTI response against bacterial flagellin through Flagellin sensing 2 (FLS2) (Lu et al., 2011). Similarly, the Arabidopsis Tóxicos en Levadura (ATL) family of RING finger E3 ligase (ATL9) is induced by fungal chitin and is involved in resistance against the biotrophic fungal pathogen, Golovinomyces cichoracearum (Deng et al., 2017).
In conclusion, the ZtSSP–TaE3UBQ interaction may modulate and compromise E3UBQ ligase activity suppressing wheat PTI. VIGS of TaE3UBQ was found to promote STB susceptibility, which agrees with TaE3UBQ being a positive regulator of PTI. However, further work is needed to explore the outcome of ZtSSP2 interaction on TaE3UBQ activity and to identify downstream host interactors of TaE3UBQ which will provide information on how TaE3UBQ might regulate immunity in wheat.
Supplementary data
The following supplementary data are available at JXB online.
Fig. S1. In silico selection of non-annotated small secreted proteins (ZtSSPs) of Z. tritici.
Fig. S2. BSMV-mediated gene silencing (VIGS) of the phytoene desaturase (PDS) gene in wheat.
Fig. S3. Three homologues of TaE3UBQ are of high similarity.
Fig. S4. Yeast two-hybrid assay to test the interaction of RcSSP2 with HvE3UBQ.
Fig. S5. TaE3UBQ protein topology illustration using MemBrain 3.1 (Yin et al., 2018).
Fig. S6. Expression profiles of wheat E3 ubiquitin ligase homeologues during Z. tritici infection.
Table S1. List of putative candidate effector proteins of Z. tritici (ZtSSPs).
Table S2. Z. tritici small, secreted proteins have potential homologues in other plant pathogens.
Table S3. Expression of 17 conserved effector candidates across three Z. tritici isolates IPO323, 553.11, and 560.11 at 7 dpi.
Table S4. List of primers used in this study.
Table S5. ZtSSP2 homologues in the Dothideomycetes with species, accession numbers, description, e-value, sequence, and length of the 20 closest homologues using NCBI BlastP.
Table S6. List of wheat proteins identified as a potential interactors with Z. tritici candidate ZtSSP2.
Table S7. Z. tritici small secreted proteins with potential homologues only present in Zymoseptoria brevis.
Acknowledgements
This work was funded by the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement no. 674964 (CerealPath), Science Foundation Ireland (SFI) Career Development Award (15/CDA/3451), SFI Strategic Partnerships Programme (16/SPP/3296), Irish Department of Agriculture, Food and the Marine Research (DAFM) Stimulus Project VICCI (14/S/819), and Science Foundation Ireland PI project 14/1A/2508. We would like to thank Dr Eleanor Gilroy (James Hutton Institute) for providing us with Inf-1 and GV3101, and Dr Stephen Kildea (Teagasc, Carlow) for providing the 553.11 and 560.11 isolates.
Author contributions
SJK, FD, PS, and AF designed the experiments. SJK, AR, DD, MM, and BZ performed the experiments. SJK and AR analysed the data. SJK and AF wrote the manuscript with input from DD, PS, JB, and FD.
Data availability
All data supporting the findings of this study are available within the paper. ZtSSP expression (corresponding to Supplementary Table S1) are available at the Dryad Digital Repository (https://doi.org/10.5061/dryad.9w0vt4bcx; Karki et al., 2020).
References
- Andrews S 2010. FastQC: a quality control tool for high throughput sequence data. https://www.bioinformatics.babraham.ac.uk/projects/fastqc/ [Google Scholar]
- Anders S, Pyl PT, Huber W. 2015. HTSeq—a Python framework to work with high-throughput sequencing data. Bioinformatics 31, 166–169. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Armaleo D, Müller O, Lutzoni F, et al. . 2019. The lichen symbiosis re-viewed through the genomes of Cladonia grayi and its algal partner Asterochloris glomerata. BMC Genomics 20, 605. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ben M’Barek S, Cordewener JH, Tabib Ghaffary SM, et al. . 2015. FPLC and liquid-chromatography mass spectrometry identify candidate necrosis-inducing proteins from culture filtrates of the fungal wheat pathogen Zymoseptoria tritici. Fungal Genetics and Biology 79, 54–62. [DOI] [PubMed] [Google Scholar]
- Bolger AM, Lohse M, Usadel B. 2014. Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics 30, 2114–2120. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Borrill P, Ramirez-Gonzalez R, Uauy C. 2016. expVIP: a customizable RNA-seq data analysis and visualization platform. Plant Physiology 170, 2172–2186. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bos JI, Armstrong MR, Gilroy EM, et al. . 2010. Phytophthora infestans effector AVR3a is essential for virulence and manipulates plant immunity by stabilizing host E3 ligase CMPG1. Proceedings of the National Academy of Sciences, USA 107, 9909–9914. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Brading PA, Verstappen EC, Kema GH, Brown JK. 2002. A gene-for-gene relationship between wheat and Mycosphaerella graminicola, the Septoria tritici blotch pathogen. Phytopathology 92, 439–445. [DOI] [PubMed] [Google Scholar]
- Brady NC, ed 1983. Advances in agronomy, Vol. 36 Academic Press. [Google Scholar]
- Brennan CJ, Zhou B, Benbow HR, Ajaz S, Karki SJ, Hehir JG, O’Driscoll A, Feechan A, Mullins E, Doohan FM. 2020. Taxonomically restricted wheat genes interact with small secreted fungal proteins and enhance resistance to Septoria tritici blotch disease. Frontiers in Plant Science 11, 433. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Chen S, Songkumarn P, Venu RC, Gowda M, Bellizzi M, Hu J, Liu W, Ebbole D, Meyers B, Mitchell T, Wang GL. 2013. Identification and characterization of in planta-expressed secreted effector proteins from Magnaporthe oryzae that induce cell death in rice. Molecular plant-microbe interactions 26: 191–202. [DOI] [PubMed] [Google Scholar]
- de Hoog GS, Mayser P, Haase G, Horré R, Horrevorts AM. 2000. A new species, Phialophora europaea, causing superficial infections in humans. Mycoses 43, 409–416. [DOI] [PubMed] [Google Scholar]
- Deng F, Guo T, Lefebvre M, Scaglione S, Antico CJ, Jing T, Yang X, Shan W, Ramonell KM. 2017. Expression and regulation of ATL9, an E3 ubiquitin ligase involved in plant defense. PLoS One 12, e0188458. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Deslandes L, Rivas S. 2012. Catch me if you can: bacterial effectors and plant targets. Trends in Plant Science 17, 644–655. [DOI] [PubMed] [Google Scholar]
- Dou D, Zhou JM. 2012. Phytopathogen effectors subverting host immunity: different foes, similar battleground. Cell Host & Microbe 12, 484–495. [DOI] [PubMed] [Google Scholar]
- Douchkov D, Nowara D, Zierold U, Schweizer P. 2005. A high-throughput gene-silencing system for the functional assessment of defense-related genes in barley epidermal cells. Molecular Plant-Microbe Interactions 18, 755–761. [DOI] [PubMed] [Google Scholar]
- Earley KW, Haag JR, Pontes O, Opper K, Juehne T, Song K, Pikaard CS. 2006. Gateway-compatible vectors for plant functional genomics and proteomics. The Plant Journal 45, 616–629. [DOI] [PubMed] [Google Scholar]
- Eyal Z, Scharen AL, Huffman MD, Prescott JM. 1985. Global insights into virulence frequencies of Mycosphaerella graminicola. Phytopathology 75, 1456–1462. [Google Scholar]
- Fernandez-Pozo N, Rosli HG, Martin GB, Mueller LA. 2015. The SGN VIGS tool: user-friendly software to design virus-induced gene silencing (VIGS) constructs for functional genomics. Molecular Plant 8, 486–488. [DOI] [PubMed] [Google Scholar]
- Fones H, Gurr S. 2015. The impact of Septoria tritici Blotch disease on wheat: an EU perspective. Fungal Genetics and Biology 79, 3–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Fones HN, Eyles CJ, Kay W, Cowper J, Gurr SJ. 2017. A role for random, humidity-dependent epiphytic growth prior to invasion of wheat by Zymoseptoria tritici. Fungal Genetics and Biology 106, 51–60. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Franco-Orozco B, Berepiki A, Ruiz O, Gamble L, Griffe LL, Wang S, Birch PR, Kanyuka K, Avrova A. 2017. A new proteinaceous pathogen-associated molecular pattern (PAMP) identified in Ascomycete fungi induces cell death in Solanaceae. New Phytologist 214, 1657–1672. [DOI] [PubMed] [Google Scholar]
- Gehl C, Waadt R, Kudla J, Mendel RR, Hänsch R. 2009. New GATEWAY vectors for high throughput analyses of protein–protein interactions by bimolecular fluorescence complementation. Molecular Plant 2, 1051–1058. [DOI] [PubMed] [Google Scholar]
- Goodwin SB, M’barek SB, Dhillon B, et al. . 2011. Finished genome of the fungal wheat pathogen Mycosphaerella graminicola reveals dispensome structure, chromosome plasticity, and stealth pathogenesis. PLoS Genetics 7, e1002070. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hogenhout SA, Van der Hoorn RA, Terauchi R, Kamoun S. 2009. Emerging concepts in effector biology of plant-associated organisms. Molecular Plant-Microbe Interactions 22, 115–122. [DOI] [PubMed] [Google Scholar]
- Holzberg S, Brosio P, Gross C, Pogue GP. 2002. Barley stripe mosaic virus-induced gene silencing in a monocot plant. The Plant Journal 30, 315–327. [DOI] [PubMed] [Google Scholar]
- Jones JD, Dangl JL. 2006. The plant immune system. Nature 444, 323–329. [DOI] [PubMed] [Google Scholar]
- Karki SJ, Reilly R, Zhou B, Mascarello M, Burke J, Doohan F, Douchkov D, Schweizer P, Feechan A. 2020. Data from: A small secreted protein from Zymoseptoria tritici interacts with a wheat E3 ubiquitin to promote disease. Dryad Digital Repository. 10.5061/dryad.9w0vt4bcx. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kema GH, van Silfhout CH. 1997. Genetic variation for virulence and resistance in the wheat–Mycosphaerella graminicola pathosystem III. Comparative seedling and adult plant experiments. Phytopathology 87, 266–272. [DOI] [PubMed] [Google Scholar]
- Kema GHJ, Mirzadi Gohari A, Aouini L, et al. . 2018. Stress and sexual reproduction affect the dynamics of the wheat pathogen effector AvrStb6 and strobilurin resistance. Nature genetics 50, 375–380. [DOI] [PubMed] [Google Scholar]
- Kettles GJ, Bayon C, Canning G, Rudd JJ, Kanyuka K. 2017. Apoplastic recognition of multiple candidate effectors from the wheat pathogen Zymoseptoria tritici in the nonhost plant Nicotiana benthamiana. New Phytologist 213, 338–350. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kettles GJ, Bayon C, Sparks CA, Canning G, Kanyuka K, Rudd JJ. 2018. Characterization of an antimicrobial and phytotoxic ribonuclease secreted by the fungal wheat pathogen Zymoseptoria tritici. New Phytologist 217, 320–331. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kim D, Pertea G, Trapnell C, Pimentel H, Kelley R, Salzberg SL. 2013. TopHat2: accurate alignment of transcriptomes in the presence of insertions, deletions and gene fusions. Genome Biology 14, R36. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kumar S, Stecher G, Tamura K. 2016. MEGA7: Molecular Evolutionary Genetics Analysis version 7.0 for bigger datasets. Molecular Biology and Evolution 33, 1870–1874. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lee WS, Rudd JJ, Hammond-Kosack KE, Kanyuka K. 2014. Mycosphaerella graminicola LysM effector-mediated stealth pathogenesis subverts recognition through both CERK1 and CEBiP homologues in wheat. Molecular Plant-Microbe Interactions 27, 236–243. [DOI] [PubMed] [Google Scholar]
- Li H, Handsaker B, Wysoker A, Fennell T, Ruan J, Homer N, Marth G, Abecasis G, Durbin R; 1000 Genome Project Data Processing Subgroup 2009. The Sequence Alignment/Map format and SAMtools. Bioinformatics 25, 2078–2079. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Liu C, Pedersen C, Schultz-Larsen T, Aguilar GB, Madriz-Ordeñana K, Hovmøller MS, Thordal-Christensen H. 2016. The stripe rust fungal effector PEC6 suppresses pattern-triggered immunity in a host species-independent manner and interacts with adenosine kinases. New Phytologist doi: 10.1111/nph.14034. [DOI] [PubMed] [Google Scholar]
- Livak KJ, Schmittgen TD. 2001. Analysis of relative gene expression data using real-time quantitative PCR and the 2–ΔΔCT method. Methods 25, 402–408. [DOI] [PubMed] [Google Scholar]
- Lu D, Lin W, Gao X, Wu S, Cheng C, Avila J, Heese A, Devarenne TP, He P, Shan L. 2011. Direct ubiquitination of pattern recognition receptor FLS2 attenuates plant innate immunity. Science 332, 1439–1442. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lynch KM, Zannini E, Guo J, Axel C, Arendt EK, Kildea S, Coffey A. 2016. Control of Zymoseptoria tritici cause of septoria tritici blotch of wheat using antifungal Lactobacillus strains. Journal of Applied Microbiology 121, 485–494. [DOI] [PubMed] [Google Scholar]
- Marchler-Bauer A, Lu S, Anderson JB, et al. . 2011. CDD: a Conserved Domain Database for the functional annotation of proteins. Nucleic Acids Research 39, D225–D229. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Marino D, Peeters N, Rivas S. 2012. Ubiquitination during plant immune signaling. Plant Physiology 160, 15–27. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Marshall R, Kombrink A, Motteram J, Loza-Reyes E, Lucas J, Hammond-Kosack KE, Thomma BP, Rudd JJ. 2011. Analysis of two in planta expressed LysM effector homologs from the fungus Mycosphaerella graminicola reveals novel functional properties and varying contributions to virulence on wheat. Plant Physiology 156, 756–769. [DOI] [PMC free article] [PubMed] [Google Scholar]
- McLellan H, Chen K, He Q, Wu X, Boevink PC, Tian Z, Birch PRJ. 2020. The ubiquitin E3 ligase PUB17 positively regulates immunity by targeting a negative regulator, KH17, for degradation. Plant Communications 1, 100020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Meile L, Croll D, Brunner PC, Plissonneau C, Hartmann FE, McDonald BA, Sánchez-Vallet A. 2018. A fungal avirulence factor encoded in a highly plastic genomic region triggers partial resistance to septoria tritici blotch. New Phytologist 219, 1048–1061. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mirzadi Gohari A, Ware SB, Wittenberg AH, et al. . 2015. Effector discovery in the fungal wheat pathogen Zymoseptoria tritici. Molecular Plant Pathology 16, 931–945. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Morais do Amaral A, Antoniw J, Rudd JJ, Hammond-Kosack KE. 2012. Defining the predicted protein secretome of the fungal wheat leaf pathogen Mycosphaerella graminicola. PLoS One 7, e49904. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Motteram J, Küfner I, Deller S, Brunner F, Hammond-Kosack KE, Nürnberger T, Rudd JJ. 2009. Molecular characterization and functional analysis of MgNLP, the sole NPP1 domain-containing protein, from the fungal wheat leaf pathogen Mycosphaerella graminicola. Molecular Plant-Microbe Interactions 22, 790–799. [DOI] [PubMed] [Google Scholar]
- Mukhtar MS, Carvunis AR, Dreze M, et al. . 2011. Independently evolved virulence effectors converge onto hubs in a plant immune system network. Science 333, 596–601. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Nakagawa T, Kurose T, Hino T, Tanaka K, Kawamukai M, Niwa Y, Toyooka K, Matsuoka K, Jinbo T, Kimura T. 2007. Development of series of gateway binary vectors, pGWBs, for realizing efficient construction of fusion genes for plant transformation. Journal of Bioscience and Bioengineering 104, 34–41. [DOI] [PubMed] [Google Scholar]
- Nelson BK, Cai X, Nebenführ A. 2007. A multicolored set of in vivo organelle markers for co-localization studies in Arabidopsis and other plants. The Plant Journal 51, 1126–1136. [DOI] [PubMed] [Google Scholar]
- Nielsen H 2017. Predicting secretory proteins with SignalP. Methods in Molecular Biology 1611, 59–73. [DOI] [PubMed] [Google Scholar]
- Park CH, Chen S, Shirsekar G, et al. . 2012. The Magnaporthe oryzae effector AvrPiz-t targets the RING E3 ubiquitin ligase APIP6 to suppress pathogen-associated molecular pattern-triggered immunity in rice. The Plant Cell 24, 4748–4762. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Park CH, Shirsekar G, Bellizzi M, et al. . 2016. The E3 ligase APIP10 connects the effector AvrPiz-t to the NLR receptor Piz-t in rice. PLoS Pathogens 12, e1005529. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Perochon A, Dieterle S, Pouzet C, Aldon D, Galaud JP, Ranty B. 2010. Interaction of a plant pseudo-response regulator with a calmodulin-like protein. Biochemical and Biophysical Research Communications 398, 747–751. [DOI] [PubMed] [Google Scholar]
- Pliego C, Nowara D, Bonciani G, et al. . 2013. Host-induced gene silencing in barley powdery mildew reveals a class of ribonuclease-like effectors. Molecular Plant-Microbe Interactions 26, 633–642. [DOI] [PubMed] [Google Scholar]
- Queiróz AJR, Pereira Domingos F, Antônio JR. 2018. Chromoblastomycosis: clinical experience and review of literature. International Journal of Dermatology 57, 1351–1355. [DOI] [PubMed] [Google Scholar]
- Rafiqi M, Jelonek L, Akum NF, Zhang F, Kogel KH. 2013. Effector candidates in the secretome of Piriformospora indica, a ubiquitous plant-associated fungus. Frontiers in Plant Science 4, 228. [DOI] [PMC free article] [PubMed] [Google Scholar]
- R Core Team 2016. R: a language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. [Google Scholar]
- Robinson MD, Oshlack A. 2010. A scaling normalization method for differential expression analysis of RNA-seq data. Genome Biology 11, R25. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Robinson MD, Smyth GK. 2008. Small-sample estimation of negative binomial dispersion, with applications to SAGE data. Biostatistics 9, 321–332. [DOI] [PubMed] [Google Scholar]
- Rudd JJ, Kanyuka K, Hassani-Pak K, et al. . 2015. Transcriptome and metabolite profiling of the infection cycle of Zymoseptoria tritici on wheat reveals a biphasic interaction with plant immunity involving differential pathogen chromosomal contributions and a variation on the hemibiotrophic lifestyle definition. Plant Physiology 167, 1158–1185. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sánchez-Vallet A, McDonald MC, Solomon PS, McDonald BA. 2015. Is Zymoseptoria tritici a hemibiotroph? Fungal Genetics and Biology 79, 29–32. [DOI] [PubMed] [Google Scholar]
- Schweizer P, Pokorny J, Schulze-Lefert P, Dudler R. 2000. Technical advance. Double-stranded RNA interferes with gene function at the single-cell level in cereals. The Plant Journal 24, 895–903. [DOI] [PubMed] [Google Scholar]
- Scofield SR, Huang L, Brandt AS, Gill BS. 2005. Development of a virus-induced gene-silencing system for hexaploid wheat and its use in functional analysis of the Lr21-mediated leaf rust resistance pathway. Plant Physiology 138, 2165–2173. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Shetty NP, Kristensen BK, Newman MA, Møller K, Gregersen PL, Jørgensen HL. 2003. Association of hydrogen peroxide with restriction of Septoria tritici in resistant wheat. Physiological and Molecular Plant Pathology 62, 333–346. [Google Scholar]
- Sperschneider J, Dodds PN, Singh KB, Taylor JM. 2018. ApoplastP: prediction of effectors and plant proteins in the apoplast using machine learning. New Phytologist 217, 1764–1778. [DOI] [PubMed] [Google Scholar]
- Sperschneider J, Gardiner DM, Dodds PN, Tini F, Covarelli L, Singh KB, Manners JM, Taylor JM. 2016. EffectorP: predicting fungal effector proteins from secretomes using machine learning. New Phytologist 210, 743–761. [DOI] [PubMed] [Google Scholar]
- Stergiopoulos I, de Wit PJ. 2009. Fungal effector proteins. Annual Review of Phytopathology 47, 233–263. [DOI] [PubMed] [Google Scholar]
- Trapnell C, Williams BA, Pertea G, Mortazavi A, Kwan G, van Baren MJ, Salzberg SL, Wold BJ, Pachter L. 2010. Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation. Nature Biotechnology 28, 511–515. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Trujillo M, Shirasu K. 2010. Ubiquitination in plant immunity. Current Opinion in Plant Biology 13, 402–408. [DOI] [PubMed] [Google Scholar]
- Üstün S, Sheikh A, Gimenez-Ibanez S, Jones AM, Ntoukakis V, Börnke F. 2016. The proteasome acts as a hub for plant immunity and is targeted by Pseudomonas type-III effectors. Plant Physiology 172, 1941–1958. [DOI] [PMC free article] [PubMed] [Google Scholar]
- van Wijk SJ, de Vries SJ, Kemmeren P, Huang A, Boelens R, Bonvin AM, Timmers HT. 2009. A comprehensive framework of E2-RING E3 interactions of the human ubiquitin–proteasome system. Molecular Systems Biology 5, 295. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Váry Z, Mullins E, McElwain JC, Doohan FM. 2015. The severity of wheat diseases increases when plants and pathogens are acclimatized to elevated carbon dioxide. Global Change Biology 21, 2661–2669. [DOI] [PubMed] [Google Scholar]
- Wang YS, Pi LY, Chen X, et al. . 2006. Rice XA21 binding protein 3 is a ubiquitin ligase required for full Xa21-mediated disease resistance. The Plant Cell 18, 3635–3646. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yin X, Yang J, Xiao F, Yang Y, Shen HB. 2018. MemBrain: an easy-to-use online webserver for transmembrane protein structure prediction. Nano-Micro Letters 10, 2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zhong Z, Marcel TC, Hartmann FE, et al. . 2017. A small secreted protein in Zymoseptoria tritici is responsible for avirulence on wheat cultivars carrying the Stb6 resistance gene. New Phytologist 214, 619–631. [DOI] [PubMed] [Google Scholar]
- Zhou B, Benbow HR, Brennan CJ, Arunachalam C, Karki SJ, Mullins E, Feechan A, Burke JI, Doohan FM. 2020. Wheat encodes small, secreted proteins that contribute to resistance to Septoria tritici blotch. Frontiers in Genetics 11, 469. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
All data supporting the findings of this study are available within the paper. ZtSSP expression (corresponding to Supplementary Table S1) are available at the Dryad Digital Repository (https://doi.org/10.5061/dryad.9w0vt4bcx; Karki et al., 2020).