Introduction
Lysine acetylation, one of the most common post-translational modifications (PTMs), is involved in regulation of conidial germination in plant-associated fungi (Dubey et al., 2019; Wang et al., 2018; Zhang et al., 2020b). In recent decades, besides acetylation, numerous other short-chain acylation modifications have been discovered on lysine (K) residues, including crotonylation, malonylation, succinylation, propionylation, glutarylation, and butyrylation (Chen et al., 2007; Hirschey and Zhao, 2015; Kim et al., 2006; Park et al., 2013; Tan et al., 2011, Tan et al., 2014). Among them, lysine crotonylation (Kcr), first identified on histones, is also able to target other proteins involved in various cellular processes (Wu et al., 2017; Xu et al., 2017). Kcr is recognized by histone-binding ‘reader’ modules, including AF9 YEATS, YEATS2, MOZ, and DPF2, in a type- and site-specific manner (Li et al., 2016; Xiong et al., 2016; Zhao et al., 2016). Histone crotonylation by p300 has been shown to promote transcription in vitro and manipulating cellular concentration of crotonyl-CoA affects gene expression (Sabari et al., 2015). Although a recent proteomic analysis reveals that Kcr is tightly associated with virulence of the necrotrophic fungus
Previous studies have identified mammalian histone deacetylase SIRT1 as being responsible for the removal of crotonylation in the nucleus (Bao et al., 2014; Feldman et al., 2013). The NAD+-dependent sirtuins (SIRTs) have an expanded repertoire of deacylase activities and display widespread subcellular distributions (Bell and Guarente, 2011; Cen et al., 2011; Kanfi et al., 2012). Three mammalian sirtuins (SIRT3, SIRT4, and SIRT5) localize mostly or exclusively to the mitochondrial matrix, the powerhouse of the cell producing the bulk of cellular ATP through oxidative phosphorylation (Ryan, 2018). SIRT3 is considered the major deacetylase of mitochondria (Lombard et al., 2007), while SIRT4 mainly functions as a lipoamidase that regulates pyruvate dehydrogenase complex activity (Mathias et al., 2014). SIRT5, which possesses poor deacetylase activity (Du et al., 2011), preferentially regulates the levels of lysine succinylation, malonylation, and glutarylation, playing multiple roles in regulating different metabolic pathways including glycolysis/gluconeogenesis, fatty acid β-oxidation, oxidative phosphorylation, the urea cycle, and ketogenesis (Hirschey and Zhao, 2015; Park et al., 2013). However, no information on the regulation of crotonylation in mitochondria is available.
The SIRTs are also present in filamentous fungi and control a variety of cellular processes (Haigis and Sinclair, 2010). Seven SIRTs, NST-1 to NST-7, have been identified in
In this study, we show that the
Results
FoSir5 has both mitochondrial and extra-mitochondrial decrotonylase activity in
Members of the sirtuin family lysine deacetylases (KDACs) exhibit various subcellular localizations and are distributed in the nucleus, cytoplasm, and mitochondria (North and Verdin, 2004). However, none of the sirtuin KDACs in
Figure 1.
Cellular localization and activity of FoSir5 in
(A) Sirtuin proteins in
The
Three human sirtuins, SIRT1-SIRT3, were recently suggested to remove crotonyl groups from histones in vitro (Bao et al., 2014). To investigate whether the FoSir5 protein possesses similar activity, we incubated bacterially expressed and purified recombinant FoSir5 with native calf thymus histones (CTH) in the presence of crotonyl-CoA. The pan anti-Kcr antibody specifically recognizing crotonylated lysine residues (Liu et al., 2017; Tan et al., 2011) was used for Western blotting to detect Kcr signal. Histone Kcr was detected in the untreated CTH samples, in agreement with earlier studies (Sabari et al., 2015), and the addition of FoSir5 resulted in a decrease in histone Kcr (Figure 1E), indicating that FoSir5 is able to remove crotonyl groups from histones in vitro.
To investigate whether
FoSir5 modulates PDC activity by decrotonylating the E2 component of PDC
Since a large proportion of FoSir5 was localized in the mitochondria, we explored whether FoSir5 is involved in the decrotonylation of mitochondrial proteins in
Fluorescence observation verified the expected mitochondrial localization of FoDLAT in
Figure 2.
FoSir5 decrotonylates FoDLAT, the E2 component of
(A) Co-IP assays reveal physical interaction of FoSir5-GFP and FoDLAT-Flag. Western blot analysis of cell extracts from transformants co-expressing FoDLAT-Flag with GFP or FoSir5-GFP and elution from anti-GFP agarose. The fusion proteins were detected with anti-Flag or anti-GFP antibody. (B) In vitro pull-down assays to detect FoSir5-His with MBP or the FoDLAT-MBP fusion protein. FoDLAT-MBP was used as bait to pull down the FoSir5-His protein from the induced cell extracts. The MBP protein was assayed as a negative control. Input and bound forms of the pull-down fractions were detected with anti-His or anti-MBP antibody. (C–D) The K148 crotonylation (anti-K148cr-FoDLAT, top panel) and amount (anti-GFP, bottom panel) of FoDLAT-GFP and its mutant isoforms in the ΔFoSir5 (C) and OE-1 strain (D). Proteins were immunoprecipitated with anti-GFP antibody agarose beads and analyzed by anti-K148cr-FoDLAT or anti-GFP antibody. Representative gels are shown from experiments carried out at least twice. Numbers below the blots represent the relative abundance of K148-crotonylated FoDLAT. Anti-GFP immunoblotting was used to show equal loading. (E) FoSir5 directly decrotonylates FoDLAT in vitro. Purified FoDLAT protein or its K148Q isoform (50 ng) were incubated with or without 50 ng of purified FoSir5 in the absence or presence of 5 mM NAD+ and then analyzed by immunoblotting using anti-K148cr-FoDLAT or anti-His antibody. Each gel shown is representative of two experiments. Numbers below the blots represent the relative abundance of K148-crotonylated FoDLAT. Anti-MBP immunoblotting was used to show equal loading. (F–G) FoSir5 and K148 mutant FoDLAT affected pyruvate dehydrogenase complex (PDC) activity (F) and acetyl-CoA production (G) in
Figure 2—figure supplement 1.
Interpretation of the subcellular location, Kcr site, and protein structure of FoDLAT.
(A) Fluorescence microscopy analysis of the FoDLAT-GFP localization along with MitoTracker Red (MT) and DAPI. Scale bars = 10 µm. (B) Annotation of representative tandem mass spectra from trypsin-digested FoDLAT-GFP in
Figure 2—figure supplement 2.
Generation of targeted
(A) Schematic representation of the targeted deletion of
Figure 2—figure supplement 3.
Detection of crotonylation, succinylation, malonylation, and glutarylation on FoDLAT protein in ΔFoSir5 compared with Fo.
Proteins were immunoprecipitated with anti-GFP antibody agarose beads and analyzed by Western blot using the indicated antibodies. Representative gels are shown from experiments carried out at least twice. Anti-GFP immunoblotting was used to show equal loading.
To test whether FoSir5 decrotonylates FoDLAT, we first generated ΔFoSir5 deletion mutants by replacing the coding region with the hygromycin resistance cassette (HPH) and FoSir5 overexpression strains fused with a C-terminal Flag tag driven by the strong constitutive promoter RP27. A total of three transformants from each group were obtained (Figure 2—figure supplement 2). The transformants from all groups had the same phenotypes, although only data for the mutant strain ΔFoSir5.3 (ΔFoSir5) and the overexpression strain FoSir5-Flag-1 (OE-1) are presented below. Then, we transformed and expressed FoDLAT-GFP in the Fo, ΔFoSir5, and OE-1 strains. The crotonylation levels of immunoprecipitated FoDLAT were then tested. Compared with that in the Fo strain, we found markedly increased crotonylation of FoDLAT in ΔFoSir5 (Figure 2—figure supplement 3). These data indicated that FoSir5 is responsible for the decrotonylation of FoDLAT. Although SIRT5 was reported to possess robust demalonylase, desuccinylase, and deglutarylase activities in mammals (Hirschey and Zhao, 2015; Park et al., 2013), our results showed that FoSir5 had no detectable impact on succinylation, malonylation, or glutarylation of the FoDLAT protein in
To determine the crotonylation sites of FoDLAT, we purified the FoDLAT-GFP fusion protein from
To explore how this crotonylation site might affect FoDLAT function, we first generated a homology model of the fungal enzyme based on the crystal structure of the homologous human E2. In the PDC assembly, E2 is the dihydrolipoyl acetyltransferase component, and comprises a biotin-lipoyl domain, an interaction domain that binds the dihydrolipoyl dehydrogenase (E3) component, and the catalytic domain. The crotonylation site maps to an intradomain linker that is predicted to be flexible (Figure 2—figure supplement 1C and D). The flexibility enables the biotin-lipoyl domain to shuttle substrates between the E1 and E2 catalytic sites and then to the E3 site for an oxidation step. Given that DLAT is likely an essential component of PDC function (no DLAT deletion mutants could be obtained after numerous attempts in this research), we examined the impact of changed FoSir5 levels on the endogenous cellular activity of the PDC. PDC activity was elevated in the ΔFoSir5 strain and reduced in the OE-1 strain compared with the Fo and the complemented strain ΔFoSir5-C (Figure 2F). To further determine whether the crotonylation site of FoDLAT plays a role in PDC function, we detected PDC activity in the K148 mutant strains. As shown in Figure 2F, the K148Q and K148R mutant strains demonstrated increased and decreased PDC activity, respectively. Furthermore, the levels of acetyl-CoA, a direct product of E2 catalytic activity, followed a pattern similar to that of PDC activity among the different strains (Figure 2G). Collectively, these data establish a specific and prominent role of FoSir5 in FoDLAT decrotonylation and PDC enzymatic inactivation.
FoSir5 directly regulates the expression of genes related to aerobic respiration through H3K18 decrotonylation
Subcellular fractionation showed a small portion of FoSir5 in the nuclei, and FoSir5 could remove crotonyl groups from histones in vitro (Figure 1C–E). This finding lead us to explore whether FoSir5 regulates histone Kcr in cells. As shown in Figure 3A, FoSir5 inactivation caused the accumulation of H3K18cr, but has little effect on H3K18ac or H3K9cr. Therefore, we performed RNA-seq analysis to detect transcripts that might be regulated by FoSir5 in
Figure 3.
The downregulation of H3K18 crotonylation by FoSir5 and transcriptional repression of aerobic respiration-related genes.
(A) Western blot analysis showed the effect of FoSir5 on histone H3K18 crotonylation and acetylation, and histone H3K9 crotonylation using the indicated antibodies. Numbers below the blots represent the relative abundance of different modifications. Anti-H3 immunoblotting was used to show equal loading. (B) RNA-seq analysis of eight upregulated genes involved in aerobic respiration including
Figure 3—figure supplement 1.
Distribution of functional classification of Gene Ontology (GO) (A) and KEGG pathway (B) of the upregulated genes in ΔFoSir5 compared with Fo.
Histograms indicate p-values of the enriched functional categories.
To determine whether FoSir5 directly regulates these eight genes, a chromatin immunoprecipitation (ChIP) qPCR assay was performed using a GFP antibody. Primers in promoter regions near putative transcription start sites (TSSs) were designed to evaluate the enrichment of FoSir5-GFP in the eight energy metabolism-related genes. The results showed that these regions were highly enriched by FoSir5 in the FoSir5-GFP strain compared with the Fo strain (Figure 3D). To test whether these promoter regions are also H3K18 crotonylation locations in genomic DNA, we further performed ChIP using an anti-H3K18cr antibody, followed by qPCR. As shown in Figure 3E, these regions were also enriched by H3K18cr in the ΔFoSir5 compared with the Fo strain.
FoSir5 represses ATP synthesis in germinating
Most intracellular ATP comes from the oxidation of glucose-derived pyruvate by the TCA cycle and oxidation of NADH in mitochondria via the ETC. As genes involved in mitochondrial ATP synthesis were directly regulated by FoSir5, we speculated that change of FoSir5 level will result in altered ATP content. As shown in Figure 4A–E, dramatic decrease of FoSir5 during germination led to reduced decrotonylase activity of this enzyme, and as a result, the K148 crotonylation of FoDLAT, PDC activity, acetyl-CoA generation, H3K18cr level, and expression of the eight energy-related genes were elevated. Meanwhile, declined enrichment of FoSir5 in promoter regions of these genes was observed (Figure 4F). Ultimately, the ATP content was elevated during the germinating process (Figure 4G). Consistent with these observations, inactivation of FoSir5 increased the level of ATP by ~70%, whereas overexpression of this enzyme significantly decreased ATP content in germinating conidia at 8 hr post incubation (Figure 4H). Moreover, the FoSir5 mutant and overexpression strains exhibited a continuous high and low level of ATP during the whole germinating process, respectively (Figure 4—figure supplement 1), further confirming the relationship between FoSir5 and ATP.
Figure 4.
FoSir5 affects ATP production during gemination in
(A–B) Western blot analysis showed the dynamic changes of FoDLAT K148 (A) and histone H3K18 (B) crotonylation during germination using the indicated antibodies. Numbers below the blots represent the relative abundance of FoDLAT-K148cr or H3K18cr. Anti-GFP or anti-H3 immunoblotting was used to show equal loading, respectively. (C–D) Pyruvate dehydrogenase complex (PDC) activity (C) and acetyl-CoA production (D) in
Figure 4—figure supplement 1.
The ATP content of ΔFoSir5 mutant (A) and OE-1 strain (B) during germinating process.
The presence of different letters above the mean values of three replicates indicates a significant difference between different samples (p < 0.05, ANOVA).
Figure 4—figure supplement 2.
Impact of FoSir5 on the virulence of
(A) Pathogenicity of the indicated strains in tomato after 8 days of incubation. (B) Quantification of the disease indexes of the indicated strains. (C) Quantitative real-time PCR (qRT-PCR) analysis of
FoSir5 affects conidial germination of
Previous studies demonstrated that ATP plays a significant role in energizing cellular developmental processes (Wang et al., 2013). As conidial germination is of high energy consumption, it is reasonable to envision that elevated ATP level benefits this process. Therefore, we determined germination rates of conidia treated with exogenous ATP at different concentrations from 0 to 50 μM. Not unexpectedly, supply with at least 10 μM ATP increased germination rate of
Figure 5.
FoSir5 modulates conidial germination through affecting ATP synthesis.
(A) Quantification of the conidial germination of
Figure 5—figure supplement 1.
Real-time PCR (RT-PCR) analysis of
Data are the means ± SDs (n = 3); **p < 0.05 by unpaired two-tailed t-test.
Modulation of ATP levels of
Based on these results and those presented above, we propose a simple model to explain how FoSir5 modulates conidial germination of
Figure 6.
A model for FoSir5 functioning as a decrotonylase in different organelles to regulate conidial germination.
During the germination process, the expression of
FoSir5 is required for full virulence of
To determine whether FoSir5-mediated ATP metabolism affects pathogenicity of
Discussion
Lysine crotonylation, a newly discovered PTM reversibly controlled by lysine crotonytransferases and decrotonylases, is involved in numerous cellular processes, including chromatin remodelling, metabolism, protein folding, and the cell cycle (Wan et al., 2019; Xu et al., 2017). Although a growing number of crotonylated proteins have been identified in multiple organisms (Kwon et al., 2018; Liu et al., 2018; Sun et al., 2017; Sun et al., 2019; Zhang et al., 2020a), the enzymes responsible for lysine crotonylation and their physiological role remain poorly defined, especially for the decrotonylation of non-histone proteins. The information presented here indicates that a sirtuin family protein, FoSir5, functions as a lysine decrotonylase to modulate conidial germination in
The studies described here provide evidence that FoSir5 can modulate ATP synthesis through lysine decrotonylation in different organelles and thus conidial germination of
Sirtuins are class III KDACs that require NAD for their deacylation activities. Seven sirtuin isoforms (SIRT1-SIRT7) are expressed in mammalian cells. These isoforms display widespread subcellular distributions, as SIRT1, SIRT6, and SIRT7 are nuclear, SIRT2 is predominantly cytoplasmic, and SIRT3-5 are mitochondrial (Gertz and Steegborn, 2016; Michishita et al., 2005). Recent studies have shown both the mitochondrial and extra-mitochondrial localization of SIRT5 (Park et al., 2013), while SIRT1 and SIRT2 can accumulate in the cytosol and nucleus, respectively, under specific circumstances (Byles et al., 2010; Vaquero et al., 2006). However, the synergistic action of sirtuins among different organelles is poorly characterized. Our findings that SIRT5 simultaneously act on histones in chromatin and enzymes in the mitochondria to modulate ATP generation provide a clear example of coordinated functions of one sirtuin protein in different cellular compartments. With the identification of more lysine deacylases in future research, it is likely that the findings reported here are only the beginning of what will be a widespread phenomenon in eukaryotes.
By converting pyruvate to acetyl-CoA, PDC is an important gatekeeper that links glycolysis to the TCA cycle and oxidative phosphorylation. Therefore, controlling the activity of this enzyme complex impacts on metabolic flux and the efficiency of ATP generation. In mammalian cells, pyruvate dehydrogenase phosphatases dephosphorylate the E1α subunit and activate the PDC, while SIRT5-mediated desuccinylation of PDC subunits, including mainly E1α, E1β, and E3, suppresses PDC activity (Park et al., 2013). The data described here provide evidence that FoSir5 decrotonylates the E2 subunit of the PDC at K148 and thus inhibits PDC activity in
Conidia are reproductive structures important for both dispersal and survival within harsh environments. In this study, we found that the expression level of
Materials and methods
Fungal strains and culture conditions
Target gene deletion, complementation, and overexpression
The
For site-directed mutagenesis of
For construction of the RP27:FoSir5/FoMDH/FoATP5H/FoCYC1:GFP vectors, we amplified fragments by PCR with primer pairs GFP-F/R of each gene, respectively. The fragments were then inserted into the pYF11 vector (Qi et al., 2016). For construction of the RP27:FoSir5/FoDLAT:Flag vectors, fragments amplified with primers FoSir5-Flag-F/R or FoDLAT-Flag-F/R were inserted into pHZ126 vector (hygromycin resistance). The constructs were then used for protoplast transformation of Fo or other strains. The primers used in this study were listed in Supplementary file 3.
Epifluorescence microscopy
Subcellular fractionation analysis
The nuclear and cytosolic proteins were extracted using Nuclear Protein Extraction Kit (R0050, Solarbio) and mitochondrial proteins were extracted by Mitochondrial Extraction Kit (SM0020, Solarbio), according to the manufacturer’s instructions. The obtained proteins were separated by SDS–PAGE and immunoblotted using anti-GFP (ab290, Abcam), anti-H3 (ab1791, Abcam), anti-Tubulin (PTM-1011, PTM Biolabs), and anti-ATP5A1 (459240, Thermo Fisher).
In vitro HDCR assays
pET28 construct containing His-fused FoSir5 was expressed in BL21
Immunoprecipitation and mass spectrometry
For identification of FoSir5 interacting proteins, mycelium of Fo and FoSir5-GFP strains were collected and frozen with liquid nitrogen. For total protein extraction, the samples were ground into a fine powder in liquid nitrogen and resuspended in lysis buffer (10 mM Tris-HCl, pH 7.5, 150 mM NaCl, 0.5 mM EDTA, 0.5% NP-40) with 2 mM PMSF and proteinase inhibitor cocktail (Roche). The supernatant lysates were then incubated with anti-GFP agarose (KTSM1301, KT HEALTH) at 4°C for 2 hr with gently shaking. Proteins bound to the beads were eluted after a serious of washing steps by PBS. Elution buffer (200 mM glycine, pH 2.5) and neutralization buffer (1 M Tris base, pH 10.4) were used for the elution process. For identification of crotonylation sites of FoDLAT, total proteins were isolated from FoDLAT-GFP strain and incubated with anti-GFP agarose. The eluted mixture was subsequently analyzed using LC-MS/MS conducted in PTM Biolabs (Hangzhou, China).
Protein pull-down assays
Coding domain sequence of FoDLAT or FoDLATK148Q was cloned in pMAL vector for the N-terminal fusion with MBP. The fusion proteins were expressed in BL21
Generation of anti-K148cr-FoDLAT antibody
FoDLAT K148 site-specific crotonylation antibody was generated by using a FoDLAT crotonylated peptide (KEEKSESK(cr)SESASAC) conjugated to KLH as an antigen. Antibodies were produced from rabbits by HUABIO (Hangzhou, China). The specificity of the antibody was tested by immunoblot analysis.
In vivo decrotonylation assay
For construction of the RP27:FoDLAT/FoDLATK148Q /FoDLATK148R:GFP vectors, we amplified fragments by PCR with primers FoDLAT
In vitro decrotonylation assay
Fifty ng of MBP-FoDLAT protein (WT or K148Q) was incubated with or without 50 ng FoSir5-His protein in the absence or presence of 5 mM NAD+ in 200 μl HDCR buffer for 1 hr at 30°C. Samples were analyzed by Western blot using anti-PanKcr and anti-MBP, followed by quantification using Quantity One (Bio-Rad).
PDC enzyme assay
PDC activity was measured according to the protocol by PDC activity assay kit (ab109902, Abcam). The germinating conidia of the tested strains were grown in YPD at 25°C for 8 hr in a shaker. The total extracts were diluted and added into the microplate. After incubation in the plate for 3 hr at room temperature, the samples were stabilized and incubated with assay buffer. The fluorescence was measured at 450 nm for 20 min with 20 s interval among each measurement, and the slope of the line indicated the PDC activity. The rates were determined as change in OD over time, represented as change in milliOD per minute.
Quantification of acetyl-CoA
Acetyl-coA was measured using an acetyl-CoA assay kit (BC0980, Solarbio). The germinating conidia of the tested strains grown in YPD at 25°C for 8 hr in a shaker were harvested and homogenized in lysis buffer of the kit in ice. The supernatant was used to determine acetyl-CoA concentration in triplicate according to manufacturer’s instructions.
Quantification of ATP
The ATP assay kit (S0026, Beyotime), which employs the luciferin‐luciferase method (Drew and Leeuwenburgh, 2003), was used to quantify ATP. The working solution was prepared according to the kit protocol. The germinating conidia of the tested strains grown in YPD at 25°C for 8 hr in a shaker were harvested and homogenized in lysis buffer. Then, 100 μl of working solution and 20 μl of supernatant of the total extracts were added to each well of a 96-well microtiter plate. The luciferase signals were detected by a multifunctional microplate reader (SpectraMax M2) for 30 s. The standard curve of ATP concentration from 1 pM to 1 μM was prepared by gradient dilution.
RNA sequencing
The germinating conidia of Fo and ΔFoSir5 with three biological replicates were harvested after growth in YPD medium with shaking at 150 rpm for 8 hr in 25°C. Total RNA was extracted using the TRIzol reagent according to the manufacturer’s instructions. RNA-seq data were analyzed as previously described (Rodenburg et al., 2018). Briefly, Cutadapt (v1.16) software was used to filter the sequencing data. Reference genome index was built by Bowtie2 (2.2.6) and the filtered reads were mapped to the reference genome using Tophat2 (2.0.14). HTSeq (0.9.1) statistics was used to compare the Read Count values on each gene as the original expression of the gene, and then FPKM was used to standardize the expression. DESeq (1.30.0) was used to analyze the genes of difference expression with screened conditions as follows: an absolute log2 value >1 and p-value < 0.05. All the detected genes were shown in Supplementary file 2.
Fluorescent qRT-PCR
For qRT-PCR assessment of
ChIP-qPCR analysis
ChIP was performed according to described methods (Liu et al., 2019). Briefly, the germinating conidia of different strains were harvested after growth in YPD medium with shaking at 150 rpm for 8 hr in 25°C. The germinating conidia were cross-linked with 1% formaldehyde gently shaking for 25 min and then stopped with glycine with a final concentration of 125 mM for another incubation of 10 min. After cleaning with sterile water for several times, the cultures were frozen and ground with liquid nitrogen. The powder was re-suspended in the lysis buffer (250 mM HEPES pH 7.5, 1 mM EDTA, 150 mM NaCl, 10 mM DTT, 0.1% deoxycholate, and 1% Triton) and protease inhibitor cocktail (Roche) with a conidia/buffer ratio as 0.2 g/2 ml. The DNA was sheared into ~500 bp fragments using sonicator (Bioruptor Plus CHIP, ultrasonication for 30 s and stop for 30 s, 10 times). The supernatant was diluted after centrifugation with ChIP dilution buffer (1.1% Triton X-100, 16.7 mM Tris-HCl pH 8.0, 1.2 mM EDTA, 167 mM NaCl). Immunoprecipitation was conducted using 5 µl anti-GFP antibody (ab290, Abcam) or 5 µl anti-H3K18cr antibody (PTM-517, PTM Biolabs) together with protein A agarose (Roche) overnight at 4°C. After separation, beads were washed orderly by low-salt wash buffer (150 mM NaCl, 0.2% SDS, 20 mM Tris-HCl pH 8.0, 2 mM EDTA, 0.5% Triton X-100), high-salt wash buffer (500 mM NaCl, 2 mM EDTA, 20 mM Tris-HCl pH 8.0, 0.2% SDS, 0.5% Triton X-100), LiCl wash buffer (0.25 M LiCl, 1% Nonidet P-40, 1% sodium deoxycholate, 1 mM EDTA, 10 mM Tris-HCl pH 8.0), and TE buffer. DNA bound to the beads was then eluted and precipitated. ChIP-qPCR was independently repeated three times. Relative enrichment values were calculated by dividing the immunoprecipitated DNA by the input DNA and internal control gene (
Infection assays of
Briefly, 2-week-old tomato seedlings were used for root dip infection for 10 min in spore suspension (106 spores/ml). The infected plants were transplanted in sterile soil-vermiculite mixture (1:1 ratio) and kept in plant growth chamber at 25°C and 90% relative humidity (RH). Severity of disease symptoms was recorded and scored according to the values ranging from 1 to 5: (1) few symptoms, only first true leaf necrotic or curled; (2) clear symptoms, first three leaves developed symptoms; (3) severe symptoms, leaves necrotic and curled, defoliation, growth retardation; (4) rotted plant but still alive; (5) dead plant. Disease index was calculated using the following formula: Disease index=Σ (number of leaves in each disease grade × grades value)/(total number of assessed leaves × the highest grade value) (Yuan et al., 2019). This inoculation experiment was repeated twice to verify consistency in the observed results. qRT-PCR analysis of
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Abstract
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