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Article

Cloning, Characterization, and Functional Investigation of VaHAESA from Vitis amurensis Inoculated with Plasmopara viticola

1
The Viticulture and Enology Program, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China
2
Center for Plant Biology, TSinghua University, Beijing 100084, China
3
Center for Viticulture and Enology, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200024, China
4
Guangxi Crop Genetic Improvement and Biotechnology Laboratory, Guangxi Academy of Agricultural Sciences, Nanning 530007, China
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Int. J. Mol. Sci. 2018, 19(4), 1204; https://doi.org/10.3390/ijms19041204
Submission received: 26 March 2018 / Revised: 26 March 2018 / Accepted: 6 April 2018 / Published: 16 April 2018
(This article belongs to the Special Issue Plant Innate Immunity 2.0)

Abstract

:
Plant pattern recognition receptors (PRRs) are essential for immune responses and establishing symbiosis. Plants detect invaders via the recognition of pathogen-associated molecular patterns (PAMPs) by PRRs. This phenomenon is termed PAMP-triggered immunity (PTI). We investigated disease resistance in Vitis amurensis to identify PRRs that are important for resistance against downy mildew, analyzed the PRRs that were upregulated by incompatible Plasmopara viticola infection, and cloned the full-length cDNA of the VaHAESA gene. We then analyzed the structure, subcellular localization, and relative disease resistance of VaHAESA. VaHAESA and PRR-receptor-like kinase 5 (RLK5) are highly similar, belonging to the leucine-rich repeat (LRR)-RLK family and localizing to the plasma membrane. The expression of PRR genes changed after the inoculation of V. amurensis with compatible and incompatible P. viticola; during early disease development, transiently transformed V. vinifera plants expressing VaHAESA were more resistant to pathogens than those transformed with the empty vector and untransformed controls, potentially due to increased H2O2, NO, and callose levels in the transformants. Furthermore, transgenic Arabidopsis thaliana showed upregulated expression of genes related to the PTI pathway and improved disease resistance. These results show that VaHAESA is a positive regulator of resistance against downy mildew in grapevines.

Graphical Abstract

1. Introduction

Downy mildew is caused by the oomycete Plasmopara viticola and is one of the major diseases affecting grapevines worldwide. However, grapevines possess natural resistance against P. viticola as a result of disease resistance synergy. These resistance mechanisms involve physiological, ecological, and morphological changes in the plant [1,2]. An important mode of active defense in plant immunity is the detection of pathogen-associated molecular patterns (PAMPs) by pattern recognition receptors (PRRs) [3], otherwise known as PAMP-triggered immunity (PTI) [4,5]. PTI comprises a wide array of responses, including the rapid generation of reactive oxygen species (ROS), deposition of callose, activation of mitogen-activated protein kinases (MAPKs), and expression of immune-related genes [3,5]. Consequently, PTI plays a major role in preventing the pathogenic invasion of plants.
Plant PRRs are either receptor-like kinases (RLKs) or receptor-like proteins (RFLPs), taking the form of single-pass transmembrane proteins with extracellular domains. While RLKs have an intracellular kinase domain, RFLPs lack this cytosolic signaling domain [6]. PRRs exhibit both high sensitivity to and specialization for plant pathogens, where a certain PRR can recognize PAMPs at nanomolar quantities [4], and conserved functional domains of PAMPs are often recognized by PRRs. For example, FLS2 is one of the best-studied plant PRRs in Arabidopsis and recognizes bacterial flagellin via perception of the conserved 22-aminoacid epitope flg22 [7]. However, while FLS2 is highly conserved in plant species, the FLS2 homolog of tomato (LeFLS2) recognizes the flg15 polypeptide of Escherichia coli but does not recognize Pseudomonas syringae flg22 [8]. It has been hypothesized that the ligand-induced endocytosis and degradation of FLS2 may regulate receptor signaling [9]. In addition, the elongation factor Tu (EF-Tu) receptor (EFR) is a PRR in Arabidopsis that recognizes EF-Tu from bacteria [10]; however, this kind of PRR exists only in cruciferous species [11]. At present, the complete genome sequences of plants that contain homologous EFR genes are not well characterized [3].
Although the PAMPs of pathogenic microorganisms have been extensively studied, few of these studies have focused on the corresponding PRRs in plants. Furthermore, there are relatively few reports regarding the PRRs of grapevines. With advances in whole-genome sequencing, research focusing on characterization of resistance genes in grapevines is increasing, and recently published transient expression assays have been widely used for the characterization of newly discovered genes, including their functions and metabolic pathways [12,13,14]. Transcriptomic and proteomic analyses of grapevines infected with P. viticola are likely to result in the discovery of novel genes involved in pathways related to resistance against downy mildew, in addition to helping to elucidate the molecular mechanisms involved in the resistance response.
The present study describes the novel V. amurensis PRR gene VaHAESA. This gene was identified by analyzing the transcriptome of the V. amurensis cultivar “Shuanghong” while infected with either the compatible P. viticola strain “ZJ-1-1” or the incompatible P. viticola strain JL-7-2” [13]. Here, we demonstrate that VaHAESA belongs to the LRR-RLK (leucine-rich repeat receptor-like protein kinase) family of proteins. Transient expression studies indicate that VaHAESA can trigger a series of PTI responses, including the accumulation of H2O2 and NO as well as the deposition of callose. This research provides a better understanding of the characteristics and function of a novel PRR gene in grape.

2. Results

2.1. PRR Expression in Vitis amurensis ‘Shuanghong’ Infected with Incompatible and Compatible Strains of Plasmopara viticola

Quantitative RT-PCR revealed several differences in the expression patterns of PRR genes in V. amurensis “Shuanghong” (Figure 1 and Figure 2) after inoculation with compatible (“ZJ-1-1”) and incompatible P. viticola (“JL-7-2”) strains. After inoculation with either compatible P. viticola “ZJ-1-1” or incompatible P. viticola “JL-7-2”, clear and consistent trends were observed in the expression (both up- and downregulation) of some genes. These affected genes included GSVIVT01035611001, GSVIVT01014117001, and GSVIVT01014147001. For example, the expression of GSVIVT01014147001 increased 2-fold within 0.5 h after inoculation with the P. viticola strains “ZJ-1-1” and “JL-7-2”. In contrast, some PRRs were upregulated after inoculation with P. viticola “ZJ-1-1” but downregulated after inoculation with incompatible P. viticola “JL-7-2” (i.e., GSVIVT01035304001, GSVIVT01026000001, GSVIVT01014110001, and GSVIVT01023113001).
However, among the remaining genes, we observed downregulation after inoculation with “ZJ-1-1” and upregulation after inoculation with ‘JL-7-2’ (i.e., GSVIVT01036966001, GSVIVT01035315001, GSVIVT01014138001, GSVIVT01015298001, and GSVIVT01023369001). Within 0.5 h of inoculation with JL-7-2, the expression of all PRR genes that we evaluated was initially induced and then decreased. GSVIVT01015298001 was upregulated 4-fold, while GSVIVT01036966001, GSVIVT01035315001, GSVIVT01014138001, and GSVIVT01023369001 were upregulated 2- to 3-fold. In addition, the expression levels of these five genes indicated inhibition within the first 12 h of “ZJ-1-1” inoculation. According to these results, we hypothesize that GSVIVT01036966001, GSVIVT01035315001, GSVIVT01014138001, GSVIVT01023369001, and, most notably, GSVIVT01015298001 play an active role in pathogen resistance during the early phase of resistance against P. viticola infection. Next, based on the results of expression analyses, we chose the PRRs with the potential to confer stronger resistance against downy mildew in ‘huanghong’ (i.e., upregulated genes showing significant differences after inoculation with incompatible P. viticola and downregulated genes showing significant differences after inoculation with the compatible strain). Thus, we chose GSVIVT01015298001 for further functional verification of P. viticola resistance in V. amurensis “Shuanghong”, which was expressed at the earliest post-inoculation time point (0.5 h) and exhibited maximum upregulation.

2.2. Characterization and Phylogenetic Analysis of VaHAESA

We cloned VaHAESA from the “Shuanghong” subspecies of grape based on the aforementioned transcriptome data. The VaHAESA gene is 3066 bp long and encodes 1021 amino acids. Further characterization of the VaHAESA protein sequence using the Pfam and SUPERFAMILY 2 databases confirmed that VaHAESA belongs to the LRR-RLK protein family, due to the presence of a leucine-rich repeat N-terminal domain (LRRNT), two LRR_8 domains, and a protein kinase C-terminal domain. These findings are consistent with a sequence alignment and phylogenetic analysis using putative VaHAESA and RLK homologs from a variety of plant species (Figure 3). We detected several LRR core motifs (Figure 3, Box I–IV); these LRR repeats constitute a novel class of α/β folds. The LRR core (LXXLXLXXNXL) motifs, which form an α/β sheet, are thought to form an exposed face involved in protein-protein interactions [15]. In addition, we detected the key motifs constituting the catalytic core of the kinase. These motifs include (i) GXGXXG (Figure 3, box V), which is thought to be an integral part of many nucleotide-binding proteins; (ii) a highly conserved Lys amino acid (Figure 3, box VI); and (iii) a DFG(Asp-Phe-Gly) motif (Figure 3, box VII). Finally, the conserved motif G(T/S)PXYXAPE (Figure3, box VIII) is characteristic of serine/threonine kinases [15].
A phylogenetic analysis revealed that the LRR-RLK that we identified in the present study (VaHAESA) clustered with HAESA and HAESA homologs from Arabidopsis and five other species (Figure 4). These results further confirmed that this gene is likely to be the HAESA gene of V. amurensis ‘Shuanghong’. HAESA, which has also been called RLK5, is a critical component required for floral organ abscission, belonging to LRR XI based on the classification of LRR-RLKs [16]. A homology matrix for these sequences is provided as supplemental material. In addition, we also established a model of VaHAESA based on the reported crystal structure for HAESA from Arabidopsis (5IXQ) (Figure 5). The crystallization data for PDB 5 IXQ are shown in yellow and correspond to the crystal structure of the Arabidopsis receptor kinase HAESA LRR ectodomain. The crystal structure of VaHAESA is shown in magenta and was obtained by Swiss-model homology. The comparison of the alignment results shows that the overall structures are very similar. The details are shown in Figure 5.

2.3. Subcellular Location of VaHAESA in Nicotiana benthamiana

Based on the differences in expression observed for the PRRs of V. amurensis, we selected VaHAESA for further investigation. To study the distribution and cellular localization of VaHAESA in the mesophyll cells of N. benthamiana, we designed green fluorescent protein-tagged constructs of VaHAESA downstream of the signal peptide cleavage site. The fusion constructs were expressed transiently in N. benthamiana using Agrobacteria infiltration. The results showed that the VaHAESA protein was only observed in the cytoplasm (Figure 6).

2.4. Expression of VaHAESA Promoted Resistance against Plasmopara viticola in Grapevine

The transient expression analysis showed that 3 d after inoculation, grape leaves transiently transformed with the VaHAESA construct exhibited smaller infected areas than those transformed with the empty vector and untransformed V. vinifera “Thompson Seedless” (Figure 7). The number of spores on the VaHAESA-expressing plants was 0.18 × 105, whereas those on the empty vector-transformed plants and untransformed controls were 1.45 × 105 and 1.38 × 105, respectively. These results show that disease resistance was improved accordingly in the transient grape leaves. However, five days after inoculation, the differences in the infected areas and spore concentrations on the leaves from all groups decreased (Figure 7).
Three days after inoculation, the density of sporophores and spores in grape leaves transiently transformed with VaHAESA was lower than that in leaves transformed with the empty vector (Figure 8A1,B1). In addition, we observed necrosis in the guard cells of grape leaves transiently transformed with the VaHAESA gene (Figure 8A2), whereas the leaves transformed with the empty vector did not present similar necrosis (Figure 8B2).

2.5. Measurements of H2O2, NO, and Callose in Vitis vinifera Transiently Expressing VaHAESA

We observed that 24 h after infection in V. vinifera, the H2O2 and NO contents of leaves transformed with VaHAESA were higher than those of leaves transformed with the empty vector or the untransformed control (Figure 9).
Microscopic observations indicated that after inoculation with P. viticola, callose formation at 6 hpi and 12 hpi was much greater in the VaHAESA-expressing leaves than in leaves transformed with empty vector and untransformed V. vinifera (Figure 10). In addition, we observed few sporophores on leaves transformed with VaHAESA at 24 hpi, while a mass of sporophores was observed on the leaves transformed with the empty vector and wild Thompson Seedless (untransformed control).

2.6. Identification and Analysis of Disease Resistance in Transgenic Arabidopsis thaliana

To characterize the physiological functions of VaHAESA involved in disease resistance, ten transgenic lines of Arabidopsis were obtained, and three transgenic lines exhibiting stable expression and improved disease resistance, designated “line2, line3, and line4” (confirmed through PCR and qRT-PCR, Figure 11A,B), were selected for further experiments. The results show that the expression level of VaHEASA was up to 40-fold higher than that of the AtActingene in transgenic Arabidopsis. To determine the resistance of the transgenic plants, wild-type and transgenic A. thaliana plants were inoculated with Hyaloperonospora arabidopsidis. After infection, we analyzed the expression patterns of key genes in the PTI pathway. Our results showed that after 5 days of inoculation, H. arabidopsidis was abundant on wild-type leaves, while transgenic A. thaliana did not harbor the pathogen (Figure 11CI,CII). As key genes in the PTI pathway, the expression of MPK3 (mitogen-activated protein kinase 3), MPK6 (mitogen-activated protein kinase 6), SCD1 (stomatal cytokinesis-defective 1), BAK1 (BRI1 associated receptor kinase 1), and BIK1 (Botrytis-induced kinase 1) in the transgenic plants was substantially higher than in wild-type plants. These results showed that the expression of MAPKs and receptor-like cytoplasmic kinases (RLCKs) was 5-fold higher in transgenic plants than in wild-type plants at 2 h to 8 h after infection. The expression of these genes in wild-type A. thaliana was only slightly increased at 8 h after inoculation. These results clearly show that compared to wild-type plants, the transgenic plants exhibited an enhanced ability to defend against the invading pathogen.

3. Discussion

In recent years, it has become apparent that PRRs exist in the plasma membrane within intricate protein complexes resembling supramolecular structures and require numerous regulators to initiate and fine-tune plant immune responses [17,18,19]. In plants, the RLKs have been implicated in the prevention of self-pollination, pathogen responses, hormone perception, signal transduction, and plant development. These functions are divided into two categories [20]. One category consists of kinases involved in cell growth and development. For instance, some studies have shown that in Arabidopsis, LRR-RLK HAESA (HAE) and the peptide hormone IDA (inflorescence deficient in abscission) control floral organ abscission [21,22,23]. HAESA is a plasma membrane-associated protein with serine/threonine protein kinase activity. The other category includes RLK proteins involved in plant–pathogen interactions and defense responses [7]. However, the functional classification of RLK on the basis of structure may actually be more complex due to cross talk between disease and developmental pathways or due to recognition of multiple ligands by a signal receptor [24,25].
Our analysis of the conserved domain of VaHAESA, which contains an intracellular kinase domain, revealed that it belongs to the LRR-RLK family. These PRRs contain extracellular domains that allow MAMP/DAMP(microbe/damage—associated molecular patterns) perception [26]. LRR-type PRRs localize to the cell membrane and bind to proteins or peptides such as bacterial flagellin, EF-Tu, or endogenous PEP peptides [27]. Our results regarding the subcellular location of VaHAESA were consistent with the findings of previous studies. Interestingly, FLS2 forms a complex with the regulatory LRR-RLK BAK1 quasi-instantaneously upon flg22 perception, suggesting that FLS2 and BAK1 already exist in proximity to each other in the plasma membrane [28]. The paradigm of signaling activation by receptor kinases implies that ligand binding via the extracellular domain causes activation of the intracellular kinase domain and phosphorylation of substrates that contribute to intracellular signal transduction.
Therefore, VaHAESA could receive the signal through the extracellular LRR domain structure and transmit that signal with the help of the intracellular protein kinase domain. Recent transcriptome analysis of abscission zones from wild-type and hae mutants indicate that the IDA-HAE signaling module triggers cell wall-degrading and cell wall-remodeling genes that are necessary for the abscission process, in addition to genes commonly related to defense against bacteria and fungi [29]. Finally, the observed oxidative burst could also trigger the activation of pathogen defense genes because shedding exposes a fresh cell surface, which may be highly susceptible to pathogen infection.
Plant receptor kinases ectopically expressed in plant cells can be expected to be processed and localized correctly. RLK involved in signaling mainly recognize exogenous elicitor complexes that activate defense-related pathways. Recognition results in the formation of ROS, changes in ion flux, and rapid phosphorylation of the kinase domains. These effects all invoke the activation of the MAPK cascade and activation of defense-related genes [30]. It is also highly likely that the adaptors and coreceptors required for the activation of downstream signaling are present in heterologous cells and allow a functional signal output upon stimulation with appropriate ligands. There are indications that the signaling pathways involved in defense and development exhibit common features, for example, sharing MAPKs signaling components [31,32]. Many RLCKs serve as the core of PRRs and downstream defense systems [33]. In these RLCKs, BIK1 (Botrytis-induced kinase 1) is an important central component [34]. When plants are induced by PAMPs, the complex of BAK1 and PAMP phosphorylates BIK1, after which BIK1 dissociates from the complex and activates the downstream signal. Subsequently, the downstream reaction is accomplished by the MAPK signaling pathway [35]. Early research on parsley cells showed that the activation of elicitor-responsive MAPK, a homolog of AtMPK3, by a fungal elicitor results in the translocation of MAPK into the nucleus [31]. In Arabidopsis, AtMPK6 is activated by the bacterial flagellin peptide or by xylanase from the fungus Trichoderma viride [36]. These results suggested that MAPK might phosphorylate transcription factors that are involved in the plant defense response. Numerous studies have shown that PTI occurs in the early phase of plant defense [3]. Most PRRs are present at low concentrations in the plasma membrane, where the expression of these PRRs does not show any obvious changes in response to challenge by pathogenic bacteria. However, some studies have shown that PRRs may be upregulated after pathogenic invasion, thereby enhancing plant resistance [37]. Our qRT-PCR results indicated that VaHAESA expression was upregulated in the early stages of invasion after inoculation with a P. viticola strain, which is consistent with early immune responses to pathogenic challenge.
Previous research has shown that H2O2 is one of the earliest measurable indicators of PTI activity, representing a stable measure of the ROS produced in plants in response to pathogenic infection and PAMPs. This production of H2O2 is typically apoplastic but is subsequently associated with intracellular immunity-related pathways that regulate disease resistance, such as systemic acquired resistance (SAR) and PTI [38,39]. The transient expression of VaHAESA in the V. vinifera ‘Thompson Seedless’ variety resulted in a decrease in disease incidence, accumulation of H2O2, increased NO levels, and deposition of callose. These results indicate that VaHAESA enhances resistance to P. viticola in grapevines via the induction of resistance signaling and other molecular and cell wall modifications. Moreover, our results indicate that these phenomena, which occurred at the very early stages of infection in the leaves, were caused by the transient expression of VaHAESA after inoculation with P. viticola. Our observations of increased H2O2 levels further suggest a close relationship between ROS- and NO-signaling during the responses to pathogenic attacks [40,41]. Concerning the lag phase of NO generation, cryptogein, and chitosan (a deacylated derivative of chitin) induce NO production within two minutes, and specifically in the case of chitosan, NO production was shown to increase constantly until the last measured time point [42]. The ultimate outcome of PTI is the induction of resistance responses that prevent microbial colonization. Callose deposition is typically one of the late defense responses to pathogen invasion, with accumulation beginning approximately 16 h after the initiation of PTI [3]. Callose deposition is an important feature of plant immunity and is thought to reinforce the cell wall at fungal penetration sites to impede further infection [39,43,44]. In the present study, we showed that VaHAESA expression increased the deposition of callose in transgenic V. vinifera inoculated with P. viticola, suggesting that callose plays an important role in the PTI resistance of grapevines to downy mildew.
In conclusion, there is a large genotypic component in the resistance of grapevines to downy mildew, and defense reactions occur with variable timing and intensity. Several studies have indicated that increased production of ROS (superoxide radicals, 4 to 6 hpi) is followed by a hypersensitive response (6 to 8 hpi); subsequent increased activity of peroxidase in cells flanking the infection area and in the vascular tissue (10 to 12 hpi); and finally, increased production, accumulation, or conversion of phenolic compounds (12 to 15 hpi) [45,46]. The present study shows that VaHAESA acts as a PRR in grapevines that could initiate responses against pathogenic attacks; however, more detailed characterization of the genes and pathways involved is necessary to improve our understanding of the role of VaHAESA in the resistance of grapevines to downy mildew.

4. Materials and Methods

4.1. Plant Materials, Plasmopara viticola Strains, and Pathogen Infection

One-year old V. amurensis grapevines of the “Shuanghong” variety were maintained in a greenhouse under a 16:8 h light:dark cycle at 25 °C, with 85% relative humidity. The Plasmopara viticola strains “ZJ-1-1” and “JL-7-2” [13] were subcultured on V. amurensis leaf discs every 10 d at 22 °C under a 16:8 h photoperiod. The third to fifth unfolded leaves from the shoot apex of V. amurensis were inoculated with a suspension of 105 P. viticola sporangia∙mL−1. Three leaves were pooled to represent one replicate, and three independent replicates were collected from each sample. Infected leaves were collected at 0, 0.5, 1, 2, 4, 6, 8, 12, 24, 48, 72, and 96 h post-infection (hpi). These samples were used for subsequent reverse transcription polymerase chain reaction (RT-PCR) experiments.

4.2. qRT-PCR

We measured the expression patterns of PRRs in the leaves of “Shuanghong” at different time points post-inoculation with P. viticola strains “ZJ-1-1” and “JL-7-2”. Total RNA was extracted from leaves using a modified CTAB method [47]. One microgram of total RNA was reverse transcribed into first-strand cDNA using a cDNA Synthesis Kit (TaKaRa Biotechnology, Dalian, China). The PRR genes were identified through transcriptome analysis [13]. Primers for qRT-PCR were designed using Beacon Designer ver. 8.10 (Premier Biosoft, Palo Alto, CA, USA). Vitis elongation factor 1-α (EF1-α), ubiquitin-conjugating enzyme (UBQ), and SAND family protein (SAND) were used as internal controls to normalize all data [48,49]. The fold-change in gene expression was estimated based on threshold cycles via the 2−ΔΔCT method [50].

4.3. Cloning, Sequencing, and Phylogenetic Characterization of VaHAESA

The full open reading frames of VaHAESA genes were amplified from cDNA isolated from V. amurensis leaves inoculated with P. viticola “ZJ-1-1” using gene-specific primers (forward: 5ʹ-ATGTCGAAAACACCCCCACCTTCTG-3ʹ, reverse: 5ʹ-TCACACATTGGACGCAAAATTC-3ʹ). PCR amplification was performed in a final volume of 50 μL under the following conditions: initial denaturation at 98 °C for 3 min; followed by 34 cycles of 98 °C for 30 s, 55 °C for 30 s, and 72 °C for 1 min; with a final extension at 72 °C for 5 min (Phusion High-Fidelity PCR Kit; NEB). The amplification products were cloned into the expression vector pBI121. The putative VaRLK protein sequences were submitted to Pfam (available online: http://pfam.xfam.org) and SUPERFAMILY 2 (available online: http://supfam.org) to further characterize this gene.
Phylogenetic analyses were performed using 27 known LRR-RLKs from Arabidopsis and several HAESA or HAESA-like proteins from five different plants. Mega 5.05 software (Koichiro Tamura, et al., 2011) was employed to infer and align protein sequences with the default parameters [51]. A phylogenetic tree was constructed using the maximum-likelihood method, the JTT substitution model, and the “G + I rates among sites” model. Bootstrapping with 500 replicates was performed to assess the reliability of internal branches, and the nodes with bootstrap values greater than 50 were marked.

4.4. Agrobacterium-Mediated Transient Expression in Plants

To explore the function of the VaHAESA gene in disease resistance in grapevines, we transiently transformed Vitis vinifera variety “Thompson Seedless” plants with the expression vector carrying VaHAESA and the empty vector and then inoculated the transgenic plants with compatible P. viticola to test the effect of VaHAESA on resistance. The constructs and empty vectors were transformed into Agrobacterium tumefaciens “GV3101” according the manufacturer’s instructions (BC304-01, Biomed, Beijing, China). Agrobacterium-mediated transient expression in Nicotiana benthamiana was performed as previously described to assess localization [52], and Agrobacterium-mediated transformation of Vitis vinifera “Thompson Seedless” was performed using vacuum infiltration according to previously published methods [53].

4.5. Analysis of the Subcellular Localization of VaHAESA and Its Effect on Pathogen Infection

To verify that the expression of VaHAESA improved disease resistance in V. vinifera, we performed a microscopic examination of the leaves three days after inoculation. To analyze the subcellular localization of VaHAESA in N. benthamiana, the leaves were immersed in PBS buffer containing 5 mg·L−1 4,6-diamidino-2-phenylindole (DAPI) for 10 min to stain the nuclei. Subsequently, leaf patches were mounted on microscope slides and observed using a Nikon C1 Si/TE2000E confocal laser-scanning microscope (Nikon, Minato, Tokyo, Japan).
To observe the development of P. viticola after leaf inoculation, V. vinifera ‘Thompson Seedless’ leaves from untransformed wild-type plants transiently expressing VaHAESA were collected at the corresponding time points. The leaves were stained with lactophenol-trypan blue (10 mL of lactic acid, 10 mL of glycerol, 10 g of phenol, and 10 mg of trypan blue dissolved in 10 mL of distilled water) following Keogh et al. [54]. For the analysis of callose, the leaves were treated according to the KOH-aniline blue fluorescence method [55]. Callose deposits were visualized under a UV filter using a fluorescence microscope and were counted using ImageJ 1.43U software (available online: https://imagej.nih.gov/ij/index.html).
The number of deposits was expressed as the mean of three different leaf areas. Under the microscope at a constant magnification, five fields of view were selected for each leaf, and the number of calli was counted. The average value was calculated for the final statistics.

4.6. Analysis of H2O2 and NO Levels in Transgenic Vitis vinifera Expressing VaHAESA

The detection of H2O2 was performed using a Hydrogen Peroxide Assay Kit (S0038, Beyotime, Shanghai, China). Each sample was ground to powder with liquid nitrogen, and 100 mg of the sample was then transferred to a 1.5 mL screw-cap tube containing 1.5 mL of lysate solvent. The tubes were shaken at a speed of 12,000 rpm at 4 °C for 5 min, after which the suspension was placed on ice. The lysate was used to dilute H2O2 to concentrations of 1, 3, 10, 30, and 100 µM, which were employed as standards. Then, 50 µL of the samples or standard products was added to a 96-well plate, and 100 µL of the peroxide detection reagent was added. After a mild shock, the 96-well plate was placed at room temperature for 30 min. The absorbance was detected at A560. The content of H2O2 in the sample was calculated according to the standard curve. The detection of NO was performed using the Total Nitric Oxide Assay Kit (S0023, Beyotime, Shanghai, China) according to the manufacturer’s instructions. First, 1 g of frozen leaf tissue was ground and then added to 50 µL of Griess Reagent I. The mixture was then heated for 5 min in a boiling water bath to denature the proteins, followed by centrifugation for 5 min at 12,000 g. The supernatants were subsequently collected, and 5 µL of 20 mM NADPH, 10 µL of FAD and 5 µL of nitrate reductase were added. After mixing, the samples were incubated at 37 °C for 30 min. Next, 10 µL LDH buffer and 10 µL LDH were added to the mixture, followed by incubation at 37 °C for 30 min. Finally, 50 µL of Griess Reagent I and Griess Reagent II were added to the mixture. A540 was determined after incubation for 10 min at room temperature (20–30 °C).

4.7. Screening and Identification of Transgenic Arabidopsis thaliana

To identify the function of the VaHAESA gene, the transformation vector 35S::VaHAESA-pBI121 was transformed into Agrobacterium tumefaciens “GV3101”. Using the floral dip transformation method [56], these strains were transferred to wild-type Arabidopsis thaliana. Transgenic plants were selected using 1/2 MS media containing 50 mg∙L−1 kanamycin and then transferred to soil (24 °C; 16/8 h light/dark). Screening was performed until stable homozygous T3 lines were obtained, and transgenic plants were subsequently tested for VaHAESA expression via PCR and qRT-PCR. Disease resistance in wild-type and transgenic A. thaliana was monitored through inoculation with H. arabidopsidis, and the detection of related genes was performed via qRT-PCR. A. thaliana was inoculated with a suspension of 105 H. arabidopsidis sporangia∙mL−1. Three independent lines were collected from each sample. Infected leaves were collected at 0, 2, 4, 8, 12, 24, 48, and 72 h post-infection (hpi). These samples were used for subsequent qRT-PCR experiments. AtACTIN, AtUBQ, and AtSAND were employed as internal controls to normalize all data. The phenotypic observation of disease resistance was conducted at 5 dpi.

Acknowledgments

We are grateful to the China Agriculture Research System (grant No. CARS-29-yc-2) and the Guangxi Bagui Scholar Fund (2013-3).

Author Contributions

Shaoli Liu, Chi Zhang, Jiang Lu, and Yali Zhang conceived and designed the experiments; Shaoli Liu and Chi Zhang performed the experiments; Shaoli Liu and Nan Chao analyzed the data; Shaoli Liu wrote the paper.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Casagrande, K.; Falginella, L.; Castellarin, S.D.; Testolin, R.; Di Gaspero, G. Defence responses in Rpv3-dependent resistance to grapevine downy mildew. Planta 2011, 234, 1097–1099. [Google Scholar] [CrossRef] [PubMed]
  2. Milli, A.; Cecconi, D.; Bortesi, L.; Persi, A.; Rinalducci, S.; Zamboni, A.; Zoccatelli, G.; Lovato, A.; Zolla, L.; Polverari, A. Proteomic analysis of the compatible interaction between Vitis vinifera and Plasmopara viticola. J. Proteom. 2012, 75, 1284–1302. [Google Scholar] [CrossRef] [PubMed]
  3. Boller, T.; Felix, G. A renaissance of elicitors: Perception of microbe-associated molecular patterns and danger signals by pattern-recognition receptors. Annu. Rev. Plant Biol. 2009, 60, 379–406. [Google Scholar] [CrossRef] [PubMed]
  4. Jones, J.D.; Dangl, J.L. The plant immune system. Nature 2006, 444, 323. [Google Scholar] [CrossRef] [PubMed]
  5. Ausubel, F.M. Are innate immune signaling pathways in plants and animals conserved? Nat. Immunol. 2005, 6, 973. [Google Scholar] [CrossRef] [PubMed]
  6. Monaghan, J.; Zipfel, C. Plant pattern recognition receptor complexes at the plasma membrane. Curr. Opin. Plant Biol. 2012, 15, 349–357. [Google Scholar] [CrossRef] [PubMed]
  7. Gómezgómez, L.; Boller, T. FLS2: An LRR receptor-like kinase involved in the perception of the bacterial elicitor flagellin in Arabidopsis. Mol. Cell 2000, 5, 1003–1011. [Google Scholar] [CrossRef]
  8. Robatzek, S.; Bittel, P.; Chinchilla, D.; Köchner, P.; Felix, G.; Shiu, S.H.; Boller, T. Molecular identification and characterization of the tomato flagellin receptor LeFLS2, an orthologue of Arabidopsis FLS2 exhibiting characteristically different perception specificities. Plant Mol. Biol. 2007, 64, 539–547. [Google Scholar] [CrossRef] [PubMed]
  9. Smith, J.M.; Salamango, D.J.; Leslie, M.E.; Collins, C.A.; Heese, A. Sensitivity to Flg22 is modulated by ligand-induced degradation and de novo synthesis of the endogenous flagellin-receptor FLAGELLIN-SENSING2. Plant Physiol. 2014, 164, 440–454. [Google Scholar] [CrossRef] [PubMed]
  10. Zipfel, C.; Robatzek, S.; Navarro, L.; Oakeley, E.J.; Jones, J.D.; Felix, G.; Boller, T. Bacterial disease resistance in Arabidopsis through flagellin perception. Nature 2004, 428, 764. [Google Scholar] [CrossRef] [PubMed]
  11. Zipfel, C.; Kunze, G.; Chinchilla, D.; Caniard, A.; Jones, J.D.; Boller, T.; Felix, G. Perception of the bacterial PAMP EF-Tu by the receptor EFR restricts Agrobacterium-mediated transformation. Cell 2006, 125, 749–760. [Google Scholar] [CrossRef] [PubMed]
  12. Xu, W.; Li, R.; Zhang, N.; Ma, F.; Jiao, Y.; Wang, Z. Transcriptome profiling of Vitis amurensis, an extremely cold-tolerant Chinese wild Vitis species, reveals candidate genes and events that potentially connected to cold stress. Plant Mol. Biol. 2014, 86, 527–541. [Google Scholar] [CrossRef] [PubMed]
  13. Li, X.; Wu, J.; Yin, L.; Zhang, Y.; Qu, J.; Lu, J. Comparative transcriptome analysis reveals defense-related genes and pathways against downy mildew in Vitis amurensis grapevine. Plant Physiol. Biochem. 2015, 95, 1–14. [Google Scholar] [CrossRef] [PubMed]
  14. Han, J.; Fang, J.; Wang, C.; Yin, Y.; Sun, X.; Leng, X.; Song, C. Grapevine microRNAs responsive to exogenous gibberellin. BMC Genom. 2014, 15, 111. [Google Scholar] [CrossRef] [PubMed]
  15. Walker, J.C. Receptor-like protein kinase genes of Arabidopsis thaliana. Plant J. Cell Mol. Biol. 2015, 3, 451–456. [Google Scholar] [CrossRef]
  16. Cho, S.K.; Larue, C.T.; Chevalier, D.; Wang, H.; Jinn, T.L.; Zhang, S.; Walker, J.C. From the Cover: Regulation of floral organ abscission in Arabidopsis thaliana. Proc. Natl. Acad. Sci. USA 2007, 105, 15629–15634. [Google Scholar] [CrossRef] [PubMed]
  17. Roux, M.; Schwessinger, B.; Albrecht, C.; Chinchilla, D.; Jones, A.; Holton, N.; Malinovsky, F.G.; Tör, M.; De Vries, S.; Zipfel, C. The Arabidopsis leucine-rich repeat receptor-like kinases BAK1/SERK3 and BKK1/SERK4 are required for innate immunity to hemibiotrophic and biotrophic pathogens. Plant Cell 2011, 23, 2440–2455. [Google Scholar] [CrossRef] [PubMed]
  18. Tintor, N.; Ross, A.; Kanehara, K.; Yamada, K.; Fan, L.; Kemmerling, B.; Nürnberger, T.; Tsuda, K.; Saijo, Y. Layered pattern receptor signaling via ethylene and endogenous elicitor peptides during Arabidopsis immunity to bacterial infection. Proc. Natl. Acad. Sci. USA 2013, 110, 6211–6216. [Google Scholar] [CrossRef] [PubMed]
  19. Shi, H.; Shen, Q.; Qi, Y.; Yan, H.; Nie, H.; Chen, Y.; Zhao, T.; Katagiri, F.; Tang, D. BR-SIGNALING KINASE1 physically associates with FLAGELLIN SENSING2 and regulates plant innate immunity in Arabidopsis. Plant Cell 2013, 25, 1143–1157. [Google Scholar] [CrossRef] [PubMed]
  20. Shiu, S.H.; Karlowski, W.M.; Pan, R.; Tzeng, Y.H.; Mayer, K.F.; Li, W.H. Comparative analysis of the receptor-like kinase family in Arabidopsis and rice. Plant Cell 2004, 16, 1220–1234. [Google Scholar] [CrossRef] [PubMed]
  21. Jinn, T.L.; Stone, J.M.; Walker, J.C. HAESA, an Arabidopsis leucine-rich repeat receptor kinase, controls floral organ abscission. Gene Dev. 2000, 14, 108–117. [Google Scholar] [PubMed]
  22. Butenko, M.A.; Wildhagen, M.; Albert, M.; Jehle, A.; Kalbacher, H.; Aalen, R.B.; Felix, G. Tools and Strategies to Match Peptide-Ligand Receptor Pairs. Plant Cell 2014, 26, 1838–1847. [Google Scholar] [CrossRef] [PubMed]
  23. Julia, S.; Benjamin, B.; Mari, W.; Ulrich, H.; Hothorn, L.A.; Butenko, M.A.; Michael, H. Mechanistic insight into a peptide hormone signaling complex mediating floral organ abscission. eLife 2016, 5, e15075. [Google Scholar]
  24. Wong, F.P.; Burr, H.N.; Wilcox, W.F. Heterothallism in Plasmopara viticola. Plant Pathol. 2010, 50, 427–432. [Google Scholar] [CrossRef]
  25. Kemmerling, B.; Zipfel, C.; Chinchilla, D.; Felix, G.; Jones, J.D.G.; Robatzek, S.; Boller, T.; Nürnberger, T. A flagellin-induced complex of the receptor FLS2 and BAK1 initiates plant defence. Nature 2007, 448, 497. [Google Scholar]
  26. Böhm, H.; Albert, I.; Fan, L.; Reinhard, A.; Nürnberger, T. Immune receptor complexes at the plant cell surface. Curr. Opin. Plant Biol. 2014, 20, 47–54. [Google Scholar] [CrossRef] [PubMed]
  27. Sun, Y.; Li, L.; Macho, A.P.; Han, Z.; Hu, Z.; Zipfel, C.; Zhou, J.M.; Chai, J. Structural Basis for flg22-Induced Activation of the Arabidopsis FLS2-BAK1 Immune Complex. Science 2013, 342, 624–628. [Google Scholar] [CrossRef] [PubMed]
  28. Schulze, B.; Mentzel, T.; Jehle, A.K.; Mueller, K.; Beeler, S.; Boller, T.; Felix, G.; Chinchilla, D. Rapid heteromerization and phosphorylation of ligand-activated plant transmembrane receptors and their associated kinase BAK1. J. Biol. Chem. 2010, 285, 9444–9451. [Google Scholar] [CrossRef] [PubMed]
  29. Niederhuth, C.E.; Rahul, P.O.; Walker, J.C. Transcriptional profiling of the Arabidopsis abscission mutanthae hsl2by RNA-Seq. BMC Genom. 2013, 14, 37. [Google Scholar] [CrossRef] [PubMed]
  30. Gómez-Gómez, L.; Boller, T. Flagellin perception: A paradigm for innate immunity. Trends Plant Sci. 2002, 7, 251–256. [Google Scholar] [CrossRef]
  31. Jonak, C.; Okrész, L.; Bögre, L.; Hirt, H. Complexity, cross talk and integration of plant MAP kinase signalling. Curr. Opin. Plant Biol. 2002, 5, 415–424. [Google Scholar] [CrossRef]
  32. Betsuyaku, S.; Takahashi, F.; Kinoshita, A.; Miwa, H.; Shinozaki, K.; Fukuda, H.; Sawa, S. Mitogen-activated protein kinase regulated by the CLAVATA receptors contributes to shoot apical meristem homeostasis. Plant Cell Physiol. 2011, 52, 14–29. [Google Scholar] [CrossRef] [PubMed]
  33. Lin, W.; Ma, X.; Shan, L.; He, P. Big Roles of Small Kinases:The Complex Functions of Receptor-Like Cytoplasmic Kinases in Plant Immunity and Development. Chin. J. Plant Ecol. 2013, 55, 1188–1197. [Google Scholar]
  34. Veronese, P.; Nakagami, H.; Bluhm, B.; Abuqamar, S.; Chen, X.; Salmeron, J.; Dietrich, R.A.; Hirt, H.; Mengiste, T. The membrane-anchored BOTRYTIS-INDUCED KINASE1 plays distinct roles in Arabidopsis resistance to necrotrophic and biotrophic pathogens. Plant Cell 2006, 18, 257–273. [Google Scholar] [CrossRef] [PubMed]
  35. Meng, X.; Zhang, S. MAPK cascades in plant disease resistance signaling. Annu. Rev. Phytopathol. 2013, 51, 245–266. [Google Scholar] [CrossRef] [PubMed]
  36. Nühse, T.S.; Peck, S.C.; Hirt, H.; Boller, T. Microbial elicitors induce activation and dual phosphorylation of the Arabidopsis thaliana MAPK 6. J. Biol. Chem. 2000, 275, 7521–7526. [Google Scholar] [CrossRef] [PubMed]
  37. Sun, W.; Dunning, F.M.; Pfund, C.; Weingarten, R.; Bent, A.F. Within-species flagellin polymorphism in Xanthomonas campestris pv campestris and its impact on elicitation of Arabidopsis FLAGELLIN SENSING2-dependent defenses. Plant Cell 2006, 18, 764. [Google Scholar] [CrossRef] [PubMed]
  38. Torres, M.A. ROS in biotic interactions. Physiol. Plant. 2010, 138, 414. [Google Scholar] [CrossRef] [PubMed]
  39. Tian, S.; Wang, X.; Li, P.; Wang, H.; Ji, H.; Xie, J.; Qiu, Q.; Shen, D.; Dong, H. Plant Aquaporin AtPIP1;4 Links Apoplastic H2O2 Induction to Disease Immunity Pathways. Plant Physiol. 2016, 171. [Google Scholar] [CrossRef] [PubMed]
  40. Groß, F.; Durner, J.; Gaupels, F. Nitric oxide, antioxidants and prooxidants in plant defence responses. Front. Plant Sci. 2013, 4, 419. [Google Scholar] [CrossRef] [PubMed]
  41. Scheler, C.; Durner, J.; Astier, J. Nitric oxide and reactive oxygen species in plant biotic interactions. Curr. Opin. Plant Biol. 2013, 16, 534–539. [Google Scholar] [CrossRef] [PubMed]
  42. Raho, N.; Ramirez, L.; Lanteri, M.L.; Gonorazky, G.; Lamattina, L.; Have, A.T.; Laxalt, A.M. Phosphatidic acid production in chitosan-elicited tomato cells, via both phospholipase D and phospholipase C/diacylglycerol kinase, requires nitric oxide. J. Plant Physiol. 2011, 168, 534–539. [Google Scholar] [CrossRef] [PubMed]
  43. Underwood, W. The Plant Cell Wall: A Dynamic Barrier Against Pathogen Invasion. Front. Plant Sci. 2012, 3, 85. [Google Scholar] [CrossRef] [PubMed]
  44. Yu, Y.; Zhang, Y.; Yin, L.; Lu, J. The mode of host resistance to Plasmopara viticola infection of grapevines. Phytopathology 2012, 102, 1094–1101. [Google Scholar] [CrossRef] [PubMed]
  45. Liu, S.L.; Jiao, W.; Pei, Z.; Hasi, G.; Yu, H.; Jiang, L.; Zhang, Y.L. Response of phytohormones and correlation of SAR signal pathway genes to the different resistance levels of grapevine against Plasmopara viticola infection. Plant Physiol. Biochem. 2016, 107, 56–66. [Google Scholar] [CrossRef] [PubMed]
  46. Jürges, G.; Kassemeyer, H.H.; Dürrenberger, M.; Düggelin, M.; Nick, P. The mode of interaction between Vitis and Plasmopara viticola Berk. & Curt. Ex de Bary depends on the host species. Plant Biol. 2009, 11, 886–898. [Google Scholar] [PubMed]
  47. Iandolino, A.B.; Silva, F.G.D.; Lim, H.; Choi, H.; Williams, L.E.; Cook, D.R. High-Quality RNA, cDNA, and Derived EST Libraries From Grapevine (Vitis vinifera L.). Plant Mol. Biol. Rep. 2004, 22, 269–278. [Google Scholar] [CrossRef]
  48. Monteiro, F.; Sebastiana, M.; Pais, M.S.; Figueiredo, A. Reference Gene Selection and Validation for the Early Responses to Downy Mildew Infection in Susceptible and Resistant Vitis vinifera Cultivars. Minerva Stomatol. 2012, 56, 611. [Google Scholar] [CrossRef] [PubMed]
  49. Selim, M.; Legay, S.; Berkelmannlöhnertz, B.; Langen, G.; Kogel, K.H.; Evers, D. Identification of suitable reference genes for real-time RT-PCR normalization in the grapevine-downy mildew pathosystem. Plant Cell Rep. 2012, 31, 205–216. [Google Scholar] [CrossRef] [PubMed]
  50. Livak, K.J.; Schmittgen, T.D. Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method. Methods 2001, 25, 402–408. [Google Scholar] [CrossRef] [PubMed]
  51. Tamura, K.; Peterson, D.; Peterson, N.; Stecher, G.; Nei, M.; Kumar, S. MEGA5: Molecular Evolutionary Genetics Analysis Using Maximum Likelihood, Evolutionary Distance, and Maximum Parsimony Methods. Mol. Biol. Evol. 2011, 28, 2731–2739. [Google Scholar] [CrossRef] [PubMed]
  52. Jiang, X.; Li, X.; Wu, J.; Yin, L.; Zhang, Y.; Lu, J. Studying the Mechanism of Plasmopara viticola RxLR Effectors on Suppressing Plant Immunity. Front. Microbiol. 2016, 7, 709. [Google Scholar]
  53. Guan, X.; Zhao, H.; Xu, Y.; Wang, Y. Transient expression of glyoxal oxidase from the Chinese wild grape Vitis pseudoreticulata can suppress powdery mildew in a susceptible genotype. Protoplasma 2011, 248, 415–423. [Google Scholar] [CrossRef] [PubMed]
  54. Keogh, R.C.; Deverall, B.J.; Mcleod, S. Comparison of histological and physiological responses to Phakopsora pachyrhizi resistant and susceptible soybean. Trans. Br. Mycol. Soc. 1980, 74, 329–333. [Google Scholar] [CrossRef]
  55. Díez-Navajas, A.M.; Greif, C.; Poutaraud, A.; Merdinoglu, D. Two simplified fluorescent staining techniques to observe infection structures of the oomycete Plasmopara viticola in grapevine leaf tissues. Micron 2007, 38, 680–683. [Google Scholar] [CrossRef] [PubMed]
  56. Clough, S.J.; Bent, A.F. Floral dip: A simplified method for Agrobacterium-mediated transformation of Arabidopsis thaliana. Plant J. 1998, 16, 735–743. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Relative expression of the pattern recognition receptors (PRR) genes of Vitis amurensis “Shuanghong” after inoculation with Plasmopara viticola “ZJ-1-1” (black bars) and P. viticola “JL-7-2” (gray bars). The values on the vertical axes indicate the fold-changes in gene expression normalized to the expression level of Vitis elongation factor 1-α (EF1-α), SAND, and ubiquitin-conjugating enzyme (UBQ). The x-axes represent the time since inoculation. The error bars represent the standard deviation calculated from three replicates. * indicates significant differences (p < 0.05) as determined with Student’s t-test. Significant differences were identified by comparing the two gene expression levels at each time point.
Figure 1. Relative expression of the pattern recognition receptors (PRR) genes of Vitis amurensis “Shuanghong” after inoculation with Plasmopara viticola “ZJ-1-1” (black bars) and P. viticola “JL-7-2” (gray bars). The values on the vertical axes indicate the fold-changes in gene expression normalized to the expression level of Vitis elongation factor 1-α (EF1-α), SAND, and ubiquitin-conjugating enzyme (UBQ). The x-axes represent the time since inoculation. The error bars represent the standard deviation calculated from three replicates. * indicates significant differences (p < 0.05) as determined with Student’s t-test. Significant differences were identified by comparing the two gene expression levels at each time point.
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Figure 2. Relative expression of the PRR genes of Vitis amurensis ‘Shuanghong’ after inoculation with Plasmopara viticola “ZJ-1-1” (black bars) and P. viticola “JL-7-2” (gray bars). Values on the vertical axes indicate the fold-change in gene expression, normalized to the expression level of Vitis EF1-α, SAND, and UBQ. The x-axes represent the time since inoculation. Error bars represent the standard deviation calculated from three replicates. * indicates significant differences (p < 0.05) as determined with Student’s t-test. Significant differences were identified by comparing the two gene expression levels at each time point.
Figure 2. Relative expression of the PRR genes of Vitis amurensis ‘Shuanghong’ after inoculation with Plasmopara viticola “ZJ-1-1” (black bars) and P. viticola “JL-7-2” (gray bars). Values on the vertical axes indicate the fold-change in gene expression, normalized to the expression level of Vitis EF1-α, SAND, and UBQ. The x-axes represent the time since inoculation. Error bars represent the standard deviation calculated from three replicates. * indicates significant differences (p < 0.05) as determined with Student’s t-test. Significant differences were identified by comparing the two gene expression levels at each time point.
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Figure 3. Alignment of the putative Vitis amurensis HAESA (VaHAESA) protein sequence with other HAESA and HAESA-like proteins. Box I–IV: leucine-rich repeat (LRR) core LXXLXLXXNXL motifs; Box V–VII: motifs involved in the kinase catalytic core.
Figure 3. Alignment of the putative Vitis amurensis HAESA (VaHAESA) protein sequence with other HAESA and HAESA-like proteins. Box I–IV: leucine-rich repeat (LRR) core LXXLXLXXNXL motifs; Box V–VII: motifs involved in the kinase catalytic core.
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Figure 4. Phylogenetic tree of LRR-RLKs. Vitis amurensis HAESA (VaHAESA) is indicated by the filled triangle.
Figure 4. Phylogenetic tree of LRR-RLKs. Vitis amurensis HAESA (VaHAESA) is indicated by the filled triangle.
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Figure 5. Alignment of the 3-D structures of VaHAESA and Arabidopsis thaliana HAESA (AtHAESA) (5IXQ).
Figure 5. Alignment of the 3-D structures of VaHAESA and Arabidopsis thaliana HAESA (AtHAESA) (5IXQ).
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Figure 6. Subcellular localization of the GFP-VaHAESA protein in transiently transformed Nicotiana benthamiana.
Figure 6. Subcellular localization of the GFP-VaHAESA protein in transiently transformed Nicotiana benthamiana.
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Figure 7. Phenotypes of leaves from Vitis vinifera after infection with Plasmopara viticola. (A) V. vinifera expressing VaHAESA; (B) V. vinifera transformed with the empty vector (pBI121); (C) untransformed V. vinifera “Thompson Seedless”. The representative images were taken three and five days post-infection (dpi) with Plasmopara viticola.
Figure 7. Phenotypes of leaves from Vitis vinifera after infection with Plasmopara viticola. (A) V. vinifera expressing VaHAESA; (B) V. vinifera transformed with the empty vector (pBI121); (C) untransformed V. vinifera “Thompson Seedless”. The representative images were taken three and five days post-infection (dpi) with Plasmopara viticola.
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Figure 8. Microscopy examination of Vitis vinifera after infection with Plasmopara viticola. (A) V. vinifera expressing VaHAESA; (B) V. vinifera transformed with the empty vector (pBI121). Representative images were taken 3 days after inoculation with Plasmopara viticola. Sp: Sporophore; Zp: Zoospore; St: Stomata; Ne: Necrosis.
Figure 8. Microscopy examination of Vitis vinifera after infection with Plasmopara viticola. (A) V. vinifera expressing VaHAESA; (B) V. vinifera transformed with the empty vector (pBI121). Representative images were taken 3 days after inoculation with Plasmopara viticola. Sp: Sporophore; Zp: Zoospore; St: Stomata; Ne: Necrosis.
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Figure 9. Analysis of H2O2 and NO levels in Vitis vinifera after inoculation with Plasmopara viticola.
Figure 9. Analysis of H2O2 and NO levels in Vitis vinifera after inoculation with Plasmopara viticola.
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Figure 10. Microscopic assessment and statistics of callose deposition in the leaves of Vitis vinifera after inoculation with Plasmopara viticola. (A) V. vinifera expressing VaHAESA; (B) V. vinifera transformed with the empty vector (pBI121); (C) untransformed V. vinifera ‘Thompson Seedless’. Representative images were taken 6, 12, 24, and 48 h post-infection (hpi). Ca: Callose, Sp: sporophore.
Figure 10. Microscopic assessment and statistics of callose deposition in the leaves of Vitis vinifera after inoculation with Plasmopara viticola. (A) V. vinifera expressing VaHAESA; (B) V. vinifera transformed with the empty vector (pBI121); (C) untransformed V. vinifera ‘Thompson Seedless’. Representative images were taken 6, 12, 24, and 48 h post-infection (hpi). Ca: Callose, Sp: sporophore.
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Figure 11. Identification of disease resistance in transgenic Arabidopsis thaliana and the expression patterns of related genes. (A) qRT-PCR analysis of VaHAESA expression levels in transgenic Arabidopsis thaliana; (B) PCR detection of positive transgenic Arabidopsis thaliana; (C) phenotypic identification of Arabidopsis thaliana after inoculation with H. arabidopsidis: I. wild type; II, transgenic Arabidopsis thaliana; (D) the expression patterns of related genes in the pathogen-associated molecular patterns (PAMP)-triggered immunity (PTI) pathway. Values on vertical axes indicate the fold-change in gene expression, normalized to the expression levels of AtACTIN, AtSAND, and AtUBQ. The x-axes represent the time since inoculation. Error bars represent the standard deviation calculated from three replicates.
Figure 11. Identification of disease resistance in transgenic Arabidopsis thaliana and the expression patterns of related genes. (A) qRT-PCR analysis of VaHAESA expression levels in transgenic Arabidopsis thaliana; (B) PCR detection of positive transgenic Arabidopsis thaliana; (C) phenotypic identification of Arabidopsis thaliana after inoculation with H. arabidopsidis: I. wild type; II, transgenic Arabidopsis thaliana; (D) the expression patterns of related genes in the pathogen-associated molecular patterns (PAMP)-triggered immunity (PTI) pathway. Values on vertical axes indicate the fold-change in gene expression, normalized to the expression levels of AtACTIN, AtSAND, and AtUBQ. The x-axes represent the time since inoculation. Error bars represent the standard deviation calculated from three replicates.
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MDPI and ACS Style

Liu, S.; Zhang, C.; Chao, N.; Lu, J.; Zhang, Y. Cloning, Characterization, and Functional Investigation of VaHAESA from Vitis amurensis Inoculated with Plasmopara viticola. Int. J. Mol. Sci. 2018, 19, 1204. https://doi.org/10.3390/ijms19041204

AMA Style

Liu S, Zhang C, Chao N, Lu J, Zhang Y. Cloning, Characterization, and Functional Investigation of VaHAESA from Vitis amurensis Inoculated with Plasmopara viticola. International Journal of Molecular Sciences. 2018; 19(4):1204. https://doi.org/10.3390/ijms19041204

Chicago/Turabian Style

Liu, Shaoli, Chi Zhang, Nan Chao, Jiang Lu, and Yali Zhang. 2018. "Cloning, Characterization, and Functional Investigation of VaHAESA from Vitis amurensis Inoculated with Plasmopara viticola" International Journal of Molecular Sciences 19, no. 4: 1204. https://doi.org/10.3390/ijms19041204

APA Style

Liu, S., Zhang, C., Chao, N., Lu, J., & Zhang, Y. (2018). Cloning, Characterization, and Functional Investigation of VaHAESA from Vitis amurensis Inoculated with Plasmopara viticola. International Journal of Molecular Sciences, 19(4), 1204. https://doi.org/10.3390/ijms19041204

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