1. Introduction
Oats (
Avena sativa) are among the most valuable crops for cultivation and livestock feeding, known for their high forage yield, palatability, high crude protein content, digestible fiber, and superior feed quality [
1,
2,
3]. As one of the world’s most important feed resources, oats also significantly contribute to the agricultural sector. However, disease incidence has become a major factor that impacts oat yield and quality production. In particular, leaf spot disease is especially prevalent [
4]. This disease has a high incidence rate and has been documented across major oat-producing regions worldwide [
5]. Currently, research on managing oat leaf spot disease, primarily caused by
Drechslera avenae, is limited, and most control methods rely on chemical fungicides. However, excessive use of these fungicides may lead to harmful residues in agricultural soils that negatively affect oat crops and potentially pose risks to human health and environmental safety [
6]. Given these concerns, it is imperative that we urgently need to develop effective, environmentally-friendly approaches to manage oat leaf spot disease.
Plant growth regulators, such as phytohormones, help plants to induce defense responses against various pathogens [
7,
8]. Brassinosteroids (BRs), a class of polyhydroxylated steroid phytohormones, are natural, nontoxic, and eco-friendly, and could theoretically be used in agriculture to promote growth and yields, as well as plant defense against biotic and abiotic stress tolerance [
9,
10]. Previously, it has been demonstrated that BRs play a role in systemic acquired resistance (SAR) and can enhance induced systemic resistance (ISR) by priming plants to respond more robustly to subsequent pathogen attacks [
11]. In Arabidopsis thaliana, BR signaling interacts with immune receptors like FLS2 to mediate PTI responses. In particular, they selectively associate with PTI responses by interacting with PEPR1 and EFR, which result in playing an important role in defense against multiple pathogens [
12,
13,
14]. Likewise, overexpression of Bri1-associated kinase 1-interacting receptor-like kinase (
SlBIR3) also resulted in enhanced susceptibility to the necrotrophic fungus Botrytis cinerea in tomato (
Solanum lycopersicum) [
15]. Additionally, it has also been found in rice that BR application induced resistance to rice blast and bacterial blight diseases caused by
Magnaporthe grisea and
Xanthomonas oryzae, respectively [
11].
When it comes to plant immunity, increasing evidence suggests that using exogenous BR application, such as 2,4-epibrassinolide (EBR), can induce plant defense response to various pathogen interactions to effectively control disease [
16,
17,
18]. These studies suggest that EBR-mediated defense response modulates reactive oxygen species (ROS), secondary metabolic pathways, and photosynthetic capacity. For instance, in tea (
Camellia sinensis) plants, exogenous EBR enhanced defense against Colletotrichum gloeosporioides, which is associated with reducing H
2O
2 accumulation and promoting the phenylpropanoid pathway [
19]. Likewise, it also induced
CsMYB4 expression to possibly activate the transcription of
CsPOD5 that is responsible for lignin biosynthesis in response to
Colletotrichum fructicola [
17]. Additionally, in melon (
Cucumis melo) leaves, exogenous EBR can defend the photosynthetic structure from effective oxidation damage and trigger the stability of chlorophyll against downy mildew disease caused by
Pseudoperonospora cubensis [
16]. Moreover, exogenous EBR could be a promising strategy to increase resistance against
Colletotrichum gloeosporioides in mango (
Mangifera indica) fruits that are strongly associated with improving defense enzyme activities involved in the ROS metabolism phenylpropanoid pathway [
20]. Together, these mechanisms highlight the potential for EBR as an environmentally friendly solution to enhance plant resistance to diverse pathogens.
To the best of our knowledge, not much previous research has investigated BR application to control leaf spot disease in oats and its possible defense mechanisms. In this study, we investigated the influence of exogenous EBR on oat leaf spot disease caused by Drechslera avenae. Furthermore, we employed a comparative transcriptome analysis to determine defense enzyme activities and metabolites related to ROS metabolism and phenylpropanoid pathway. Our results could provide a potential strategy to control leaf spot disease in oats and deepen our understanding of how EBR application induces defense responses against pathogen attacks.
2. Materials and Methods
2.1. Plant Growth and Experimental Conditions
The seeds of oat cultivar 'Molasses' were sown in plastic pots (200 mm × 150 mm × 120 mm) containing a mixed medium (soil and vermiculite, 2:1) and cultivated in a growth chamber following a temperature cycle (25 ℃/20 ℃, day/night) under a 14-h photoperiod. The relative humidity was set to 65%.
Initial experiments were conducted to determine the optimal EBR concentration to apply to oat seedlings inoculated with pathogenic fungi with leaf spot disease (Drechslera avenae). Twelve days after planting, the seedlings were sprayed with different EBR concentrations (0, 0.01, 0.1, 1.0, 10.0 mg·L-1). At 24 h after EBR application, seedlings were inoculated with Drechslera avenae using the spore suspension method. Drechslera avenae was isolated and stored by our laboratory. A spore suspension of Drechslera avenae was prepared by first cultivating the fungus on potato dextrose agar (PDA) plates at 25°C for seven days. The spores were then harvested by flooding the plates with sterile distilled water containing 0.05% Tween 20 and gently scraping the surface with a sterile glass rod. The spore suspension was filtered through four layers of cheesecloth and then adjusted to a concentration of 106 conidia/mL. After nine days of pathogen inoculation, the disease severity index was determined, and leaves were sampled for physiological index measurement. The untreated seedings with the pathogen inoculation was used as the control (CK). Three replicates were generated for each treatment (control and inoculated).
We also conducted an experiment to determine the effect of EBR on defense responses at the transcriptional level. The established seedlings were subjected to four treatments: (A) group: the control; (B) group: pathogen inoculation; (E) group: EBR application; and (F) group: the combination of EBR application and pathogen inoculation. EBR was applied at the optimal concentration at 1.0 mg·L-1. After the treatments were imposed, seedlings were grown for nine days, and the leaves were sampled and immediately frozen in liquid nitrogen and then stored at -80°C for later RNA sequencing.
2.2. Measurement of Disease Index
The incidence of disease was assessed using a total of 20 leaves randomly selected from the lower, middle, and upper parts of the oat plant in each pot. Disease severity was graded according to the following formula: Disease Index=∑ (number of diseased leaves at each level × disease level value)/(total number of surveyed leaves × highest level value) × 100.
2.3. Determination of Chlorophyll Content
A 0.5 g fresh sample was cut into small pieces and soaked in 8 mL of 95% ethanol for 24 hours in a dark environment. The absorbance was then measured at 665 nm and 649 nm using SP-756P UV spectrophotometer (Shanghai Spectrum Instruments Co., Shanghai, China). As a control, 95% ethanol was used as a blank to calculate chlorophyll content.
2.4. Determination of Antioxidant Enzyme Activity and ROS Production
To extract the crude enzyme solution, 8 mL of 50 mmol·L⁻¹ phosphate buffer (pH 7.8) was added to 0.5 g of leaves, which were then thoroughly ground on ice. The homogenate was centrifuged at 12,000×g for 15 min at 4 ℃ using a high-speed refrigerated centrifuge. The resulting supernatant was used to measure antioxidant enzyme activity. The activities of superoxide dismutase (SOD), catalase (CAT), and ascorbate peroxidase (APX) were measured following the protocol outlined in our previous study [
21].
A malondialdehyde (MDA) assay kit (Comin, Suzhou, China) and hydrogen peroxide (H2O2) assay kit (Comin, Suzhou, China) were used to determine MDA and H2O2 concentrations, respectively. To determine the O₂⁻ production rate, 4 mL of 50 mmol·L⁻¹ phosphate buffer (pH 7.8) was added to 0.5 g of leaves that were then thoroughly ground on ice. The mixture was then centrifuged at 5,000×g for 15 minutes at 4 ℃. Following, 1 mL of 10 mmol·L⁻¹ hydroxylamine hydrochloride and 0.5 mL of 50 mmol·L⁻¹ phosphate buffer (pH 7.8) were added to 0.5 mL of the supernatant. After mixing, the solution was incubated at 25 ℃ for 1 hour. Then, 1 mL of 17 mmol·L⁻¹ p-aminobenzenesulfonamide and 1 mL of 7 mmol·L⁻¹ α-naphthylamine were added, mixed, and left to react at 25 ℃ for 20 minutes. Finally, 2 mL of ether was added, and the mixture was centrifuged at 3,000×g for 3 minutes. The pink layer was collected and its absorbance was measured at 530 nm.
2.5. Determination of Enzyme Activity and Metabolites Content Related to Phenylpropane Metabolism
To determine phenylalanine ammonia-lyase (PAL) activity, 0.5 g of the sample was added to 5 mL of extraction buffer containing 50 mmol·L⁻¹ boric acid-borax buffer (pH 8.8), 40 g·L⁻¹ PVP, 2 mmol·L⁻¹ EDTA, and 5 mmol·L⁻¹ β-mercaptoethanol. For the reaction, each tube contained 3.5 mL of reaction solution (3.0 mL of 50 mmol·L⁻¹ boric acid-borax buffer, pH 8.8, and 0.5 mL of 20 mmol·L⁻¹ L-phenylalanine solution) and 0.5 mL of enzyme extract. The tubes were then incubated at 37 °C for 1 h, after which 1 mL of 6 mol·L⁻¹ HCl was added to stop the reaction. Absorbance was measured at 290 nm.
To determine cinnamate-4-hydroxylase (C4H) and 4-coumarate ligase (4CL) activity, 5 mL of 50 mmol·L⁻¹ Tris-HCl buffer (pH 7.5, containing 25% (v/v) glycerol and 0.1 mmol·L⁻¹ DTT) was added to 0.5 g of the sample, which was then ground in an ice bath. For the C4H activity assay, 0.5 mL of crude enzyme extract was mixed with 1 mL of 50 mmol·L⁻¹ phosphate buffer (pH 7.5) that contained 2 mmol·L⁻¹ cinnamic acid and 0.5 mmol·L⁻¹ NADPH. For the 4CL activity assay, 0.5 mL of crude enzyme extract was mixed with 1.5 mL of Tris-HCl buffer (pH 7.5) that contained 7.5 mmol·L⁻¹ MgCl₂, 1 mmol·L⁻¹ CoA, 1 mmol·L⁻¹ ATP, and 0.2 mmol·L⁻¹ p-coumaric acid. Absorbances were measured at 290 nm and 333 nm, respectively.
For lignin content, 8 mL of 95% ethanol was added to 0.5 g of the sample and ground to form a homogenate. The supernatant was then discarded and the precipitate was washed 3 times with 5 mL of 95% ethanol, then 3 times with a 1:2 (v/v) ethanol mixture. The precipitate was then allowed to air dry overnight. The dried precipitate was then dissolved in 2.5 mL of 25% bromoacetyl acetic acid solution at 70 °C for 30 minutes. Following, 1 mL of 2 mol·L⁻¹ NaOH was added to stop the reaction, as well as 0.1 mL of 7.5 mol·L⁻¹ hydroxylamine hydrochloride and 5.4 mL of acetic acid. The absorbance of the supernatant was then measured at 280 nm.
For total phenol and flavonoid content, a small amount of 1% hydrochloric acid was added to a methanol solution along with 0.5 g of sample, which was then ground into a homogeneous slurry on ice. The volume was then adjusted to 20 mL and extracted at 4 °C in the dark for 20 min. The mixture was then filtered to measure absorbances at 280 nm for total phenols and at 325 nm for flavonoids. A 1% HCl-methanol solution was used as a blank control.
2.6. RNA Sequencing and DEG Identification
Total RNA was extracted using TRIzol reagent (Invitrogen, CA, USA) following the manufacturer’s protocol. RNA purity and concentration was assessed using a NanoDrop 2000 spectrophotometer (Thermo Scientific, USA). RNA integrity was then evaluated with an Agilent 2100 Bioanalyzer (Agilent Technologies, Santa Clara, CA, USA). Libraries were then constructed using the VAHTS Universal V6 RNA-seq Library Prep Kit, according to the manufacturer’s instructions. Transcriptome sequencing and analysis were performed by OE Biotech Co., Ltd. (Shanghai, China) using the Illumina NovaSeq 6000 sequencing platform for all samples.
Raw reads in fastq format were processed using fastp software [
22], and clean reads (free from low-quality sequences) were used for data analysis. Reference genome alignment was performed using HISAT2 software [
23], while gene expression levels (FPKM) were calculated [
24]. Read counts for each gene were then obtained using HTSeq-count [
25]. Principal component analysis (PCA) and gene mapping (based on counts) were conducted using R (v 3.2.0) to evaluate biological replicates of the samples.
Differential expression gene (DEG) analysis was performed using DESeq 2 [
26]. Gene expression ratios within the threshold of |log2(foldchange)| >1 and Padj value <0.05 were considered as DEGs. To further describe the function of DEGs, Gene Ontology (GO) classification and KEGG pathway enrichment were performed.
2.7. Gene Expression Confirmation
We randomly selected 20 genes from our transcriptome data for real-time quantitative PCR (qPCR) reverse validation. Primers of all selected genes were designed using the online Primer-BLAST tool in NCBI (
https://www.ncbi.nlm.nih.gov/tools/primer-blast/) and are shown in
Table A1. Actin was used as the internal reference gene. Total RNA isolation, cDNA synthesis, reaction system and program of qPCR analysis were performed following the protocol outlined in our previous study [
27]. The relative expression levels of all target genes were evaluated using the 2
-ΔΔCT method.
3. Results
3.1. Effect of Exogenous EBR on Disease Index and Chlorophyll Content
As shown in
Figure 1a, pathogen infection led to yellowing and weakened growth in oat leaves. The application of exogenous EBR was able to induce resistance in oats against leaf spot disease to help alleviate these symptoms, especially with the BR1 treatment. After 9 days of inoculation with the pathogenic fungus, the disease index increased significantly across all treatments compared with CK (
Figure 1b). Different concentrations of exogenous EBR initially showed a trend of decreasing the disease index, but then it increased over time. The lowest disease index was observed in the BR1 treatment, which reduced the disease index by 51.60% compared to the pathogen inoculation alone (BR0).
In addition, the chlorophyll content in the oat leaves declined significantly after pathogen inoculation (
Figure 1c). Compared to the control (CK), pathogen inoculation (BR0) resulted in a 39.64% reduction in chlorophyll content. However, when exogenous EBR (0.01~10 mg·L
-1) was applied, the chlorophyll content significantly increased compared to the BR0 treatment, and the highest level was observed with the BR1 treatment.
3.2. Effect of Exogenous EBR on Antioxidant Enzyme Activity and ROS Production
Pathogen inoculation alone significantly increased the activities of CAT and APX by 33.80%, and 65.16%, respectively, compared to the control (CK) (
Figure 2b,c). Under the BR0.1 treatment, SOD and APX activities reached their peaks at 202.50 U·min⁻¹·g⁻¹ and 1034.83 U·min⁻¹·g⁻¹, respectively, and showed an 19.75% and 54.34% increase compared to the BR0 treatment (
Figure 2a,c). The activity of CAT was highest under the BR1 treatment with a total increase in activity at 218.03% over the BR0 treatment (
Figure 2b). Additionally, we found that pathogen infection alone (BR0) led to an increase in O₂⁻ production rate, as well as H
2O
2 and MDA contents by 91.33%, 7.88% and 45.64%, respectively (
Figure 2d–f). In constant to the BR0 treatment, the application of exogenous EBR at 1.0 mg·L
-1 significantly induced a reduction in O₂⁻ production rate, H
2O
2, and MDA contents.
3.3. Effect of Exogenous EBR on Enzyme Activity and Metabolite Contents for Phenylpropanoid Metabolism
Pathogen inoculation alone significantly increased PAL and C4H activities, as well as lignin, flavonoid, and total phenolic contents compared to the control (CK) (
Figure 3). The application of exogenous EBR activated the increase of these enzyme activities, particularly in the BR1 treatment. However, the lignin and total phenolic content in the BR1 treatment showed a slight increase compared to the pathogen inoculation treatment alone.
3.4. DEGs Responding to Leaf Spot Disease and Exogenous EBR
To reveal the molecular mechanism of exogenous EBR induced defense responses against a pathogenic fungus,
Drechslera avenae, we used transcriptome sequencing in oat leaves treated with a combination of EBR (1.0 mg·L
-1) and pathogen inoculation. Our Principal component analysis (PCA) showed that distribution of the two treatment groups (B and F) inoculated with
Drechslera avenae was far apart from A and E, which indicates that there were more DEGs produced after pathogen inoculation (
Figure 4a). In the B-vs-A control group, there was a total of 3688 DEGs, of which 2226 were upregulated and 1462 were downregulated (
Figure 4b). There was a total of 404 differentially expressed genes in the F-vs-B control group, of which 278 were upregulated and 126 were downregulated.
qPCR analysis was further performed to validate the confidence level of the transcriptome data. The expression levels of 20 randomly selected genes showed a similar trend to in FPKM values for our transcriptome data with the different comparisons (
Figure A1). Together, this indicates the authenticity and reliability of the transcriptome data.
3.5. GO and KEGG Enrichment of DEGs
After identifying our DEGS, we used GO and KEGG enrichment analysis to further understand their biological functions (
Figure 5). DEGs were enriched in 2310 terms in the B-vs-A comparison, with a significant enrichment in 415 terms (P<0.05). Using biological process clustering, many of these DEGS were mainly responsive to oxidative stress and defense responses. Likewise, our molecular functional clustering primarily included ADP binding, glutathione transferase activity, and peroxidase activity (
Figure 5a). In the F-vs-B comparison, responses to hydrogen peroxide, protein complex oligomerization, and responses to reactive oxygen species were the top three items in our biological process clustering. In the molecular functional clustering, transcription coregulation activity and chlorophyll b reductase activity were the top two items with this group (
Figure 5b).
The pathways significantly enriched in the B-vs-A comparison mainly included plant-pathogen interaction, phenylpropanoid biosynthesis, glutathione metabolism, and flavonoid biosynthesis (
Figure 5c). In the F-vs-B comparison, the significantly enriched pathways were related to protein processing in endoplasmic reticulum, histidine metabolism, ascorbate and aldarate metabolism, nitrogen metabolism, porphyrin and chlorophyll metabolism (
Figure 5d).
3.6. DEGs Involved in Redox Reactions
Pathogen inoculation in combination with exogenous EBR significantly activated the expression of genes associated with redox reactions (
Figure 6). In the B-vs-A comparison group, there were a total of 68 DEGs related to antioxidant enzymes, and most of them were upregulated, such as
APX,
GPX,
GSTF and
GSTU. In the F-vs-B comparison, two DEGs were identified, including the upregulation of the
2-oxoglutarate and Fe dependent oxygenase super family protein genes and the downregulation of the
TPX1 gene.
3.7. DEGs Involved in Signal Transduction
Compared to the control (group A), genes involved in BR signal transduction were significantly downregulated under pathogen inoculation alone (group B), including BIN2, BRI1, and BAS1 (
Figure 7). However, BRI and BRH 1 were significantly upregulated with the application of EBR alone (group E), and the BAS1 gene was significantly upregulated by the combination of EBR and the pathogen inoculation group (F). In the F-vs-B comparison group, we saw a significant upregulation with DEGs involved in other signaling pathways, such as auxin, ABA, and MAPK signaling (
Figure A2).
3.8. DEGs Involved in Secondary Metabolism
Most of DEGs associated with secondary metabolism were upregulated by pathogen inoculation and the combination of EBR compared to the control, such as the
PAL,
C4H,
4CL,
CCR1,
CAD,
CCoAOMT,
KCS,
HXXXD,
UGT genes (
Figure 8). In the F-vs-B comparison, the upregulated genes were
HXXXD,
MVA1,
TT7,
PRR1, and
KCS6.
In the phenylpropanoid and lignin-specific pathways, the expression of 2
PAL genes, 2
COMT genes, 1
C4H gene, 1
CCR gene, 2
CAD and
POD were significantly induced by the combination of pathogen inoculation and EBR application. A gene encoding
β-D-glucosidase and
COMT genes were also upregulated by the application of exogenous EBR compared to the pathogen inoculation treatment alone (
Figure 8).
Figure 9.
Cluster heatmap of DEGs related to phenylpropanoid and lignin pathways.
Figure 9.
Cluster heatmap of DEGs related to phenylpropanoid and lignin pathways.
4. Discussion
Pathogen attack significantly threatens crop production and affects both yield and quality [
28]. It has been widely reported that the application of exogenous EBR mitigates adverse impacts due to pathogen inoculation in a number of plants [
17,
19,
20]. In our study, we found that pretreatment with exogenous EBR at 1.0 mg L
−1 effectively mitigated leaf spot disease induced by the infection of
Drechslera avenae (
Figure 1) with regards to phenotype and disease index. To our knowledge, this is the first report of positive effects of exogenous EBR on defense responses against leaf spot disease in plants.
4.1. BR Signaling Involved in Improving Plant Defense Responses Against Plant Disease
BR signaling plays a multifaceted role in plant defense by regulating defense gene expression [
29], enhancing cell wall fortification [
30], mediating oxidative burst and ROS signaling [
31], and interacting with other hormonal pathways [
18,
32]. Through these mechanisms, BRs help plants mount an effective defense response, although the specific outcomes of BR signaling in defense can vary depending on the pathogen and environmental context [
33]. We found that key genes involved in BR signaling, such as
BIN2 and
BRI1, were significantly downregulated by the infection of
Drechslera avenae in oat leaves (
Figure 7). Formally, the
BRI1 (
Brassinosteroid-Insensitive 1) gene encodes a
leucine-rich repeat receptor-like kinase (
LRR-RLK), which is a primary receptor for BRs on the plasma membrane of plant cells [
34]. Previously, enhanced Disease Resistance against necrotrophic and hemibiotrophic pathogens were both observed in
BRI1 mutations in both
Brachypodium distachyon and
Hordeum vulgare [
35]. In addition, the
BIN2 (
Brassinosteroid-Insensitive 2) gene encodes a serine/threonine kinase, which acts as a critical negative regulator within the BR signaling pathway in plants. Unlike
BRI1, which promotes BR signaling,
BIN2 inhibits BR signaling to ensure a balanced response. Another previous work also demonstrated that the expression of
BIN2 was suppressed under
Verticillium dahliae infection in cotton (
Gossypium hirsutum) [
36], and its resistance was significantly enhanced when BIN2 was knocked down [
37]. With regards to our work, these findings indicate that BR signaling is likely involved in the defense response against leaf spot disease in oats.
While BR signaling generally promotes growth, excessive activation of defense responses can suppress growth, a phenomenon known as the growth-defense trade-off [
38,
39]. Plants often balance BR signaling to avoid this trade-off to allow them to allocate resources to immune defenses only when necessary. By fine-tuning BR signaling, plants can achieve an optimal balance to enable effective pathogen defense without exhibiting excessive growth [
29]. In this study, we found that the significant upregulation of BR signaling genes,
BRI1and
BRH1, were induced by the application of EBR alone compared to the control. However, this upregulation was inhibited by EBR combination with pathogen inoculation. Moreover, this combination of exogenous EBR application and pathogen inoculation significantly upregulated a transcript encoding the
BAS1 gene (
Figure 1). The
BAS1 gene (also known as
CYP734A1) encodes a cytochrome P450 enzyme that acts as a negative regulator in the BR pathway by hydroxylating and deactivating active BRs, and the expression of
CYP734As could be upregulated by exogenous application of bioactive BRs [
40,
41]. Together, this data suggests that exogenous EBR induces the expression of
BAS1, which may contribute to a growth-defense trade-off where BR reduction supports enhanced defense response under pathogen attack in oats.
BR signaling cross-talks extensively with other hormonal pathways, such as the salicylic acid (SA), jasmonic acid (JA), and ethylene pathways, which play major roles in pathogen defense [
39,
42]. This cross-talk between the BR, SA, JA, and ethylene pathways allow plants to tailor their immune responses to activate the most appropriate defenses based on the type of pathogen encountered [
43]. In this study, the exogenous EBR treatments induced DEGs involved in other hormonal pathway, including those found in auxin, abscisic acid (ABA) and ethylene. In particular, two transcripts that belong to the ABA signaling pathway were significantly upregulated compared to pathogen inoculation alone (
Figure A2). One area where BR and ABA signaling crosstalk is particularly significant is in the regulation of stomatal aperture [
44], which primarily serves as a barrier to pathogen entry [
45]. ABA also regulates the production and scavenging activity of ROS [
46], and induces callose deposition to strength the cell wall against pathogen invasion to play a dual role in plant defense [
47]. Additionally, we found that DEGs involved in other signaling pathways were induced by exogenous EBR under pathogen inoculation. In particular, it upregulated a gene involved in mitogen-activated protein kinases (MAPKs) signaling (
Figure A2). MAPK cascades are crucial in mounting immune responses against pathogens [
48]. The crosstalk between BR and MAPKs is a vital aspect of plant signaling that enables plants to regulate plant immunity [
13,
49]. Taken together, tour findings suggest that exogenous EBR may mediates the crosstalk of BR with ABA and MAPKs signaling pathways to regulate defense responses against pathogen attack of leaf spot disease in oats.
4.2. Exogenous EBR Alleviates Oxidative Damage by Enhancing Antioxidant Defense System
Pathogen attack in plants triggers a rapid ROS accumulation, often termed an "oxidative burst," which plays a crucial role in plant defense [
50,
51]. This rapid ROS production serves multiple protective functions, including directly damaging pathogens, reinforcing cell walls, and activating downstream defense responses through signaling pathways [
52,
53]. However, while controlled ROS levels can effectively signal and contain pathogens, excessive ROS accumulation results in significant oxidative damage to plant cells. This imbalance between ROS production and scavenging leads to oxidative stress that impairs vital cellular components such as lipids, proteins, and DNA [
54,
55]. For instance, ROS can initiate lipid peroxidation, which compromises membrane integrity and produces MDA, a marker of cellular damage [
56]. Elevated MDA levels indicate membrane instability and are associated with cellular leakage that further exacerbates tissue damage. Several previous studies have widely demonstrated that pathogen attack induced ROS accumulation and an increase in MDA content, which can be alleviated by exogenous EBR to reduce ROS accumulation and MDA content [
19,
20,
57]. Consistently, we found that the application of EBR at 1.0 mg·L
-1 significantly reduced O₂⁻ production rate, H
2O
2, and MDA contents in oat leaves inoculated with
Drechslera avenae.
To mitigate such oxidative damage, plants rely on an intricate antioxidant system, including enzymatic defenses like SOD, CAT, and POD, as well as non-enzymatic antioxidants such as ascorbate, glutathione, and flavonoids. In X et al. [
58], they found that treating Arabidopsis thaliana with exogenous EBR increased SOD, POD, CAT, and APX activities under Cucumber mosaic virus infection. Previously, it has been shown that these antioxidant enzymes help mitigate ROS accumulation and improve resistance to pathogen inoculation by maintaining ROS homeostasis and enhancing the plant’s overall defense response [
59]. In this study, exogenous EBR application significantly increased SOD, CAT, and APX activity compared to pathogen inoculation alone. Moreover, the combination of exogenous EBR application and pathogen inoculation significantly activated the expression of genes encoding antioxidant enzymes, such as
APX,
GPX,
GSTF and
GSTU (
Figure 6). Together, these findings suggest that exogenous EBR could activate the antioxidant enzyme system in oats to detoxify ROS, which reduces oxidative damage in infected leaves and supports the plant's defense mechanisms against pathogen inoculation.
4.3. Exogenous EBR Improves Defense Responses by Mediating Phenylpropanoid and Lignin Pathways
Plant secondary metabolism also plays a vital role in defending against pathogen attacks through the production of an array of bioactive compounds that can directly act against pathogens or indirectly by priming the plant's defense mechanisms [
60,
61]. We found that most of the DEGs associated with secondary metabolism were upregulated by the combination of EBR application and pathogen inoculation, such as
PAL,
C4H,
4CL,
CCR1,
CAD,
CCoAOMT,
KCS, and
UGT. These genes mainly encoded enzymes involved in phenylpropanoid and lignin-specific pathways [
17], which highlights that the phenylpropanoid and lignin pathways are central components of plant secondary metabolism that respond to EBR application and pathogen inoculation.
The phenylpropanoid pathway begins with the conversion of the amino acid phenylalanine to cinnamic acid by the enzyme PAL, a key regulatory step that channels primary metabolites into secondary metabolic pathways. Both C4H and 4CL also act as early-phase enzymes in the phenylpropanoid pathway [
62,
63]. Previously, many studies found that exogenous EBR application upregulated the expression of
PAL,
C4H, and
4CL, and enhanced their activity to improve their resistance to pathogen attack in tea plants [
17,
19], which in accordance with our results. This suggests that exogenous EBR application uses the phenylpropanoid pathway to improve plant defense against pathogens. Typically, the phenylpropanoid pathway produces a variety of compounds with defensive and protective functions, including flavonoids, coumarins, tannins, and lignin precursors [
61]. For example, phytoalexins like resveratrol in grapevine and camalexin in Arabidopsis, act as antimicrobial secondary metabolites that are synthesized in response to pathogen attack and accumulate at infection sites to help localize and restrict pathogen growth [
63]. Similarly, flavonoids are synthesized from branches of the phenylpropanoid pathway, and also act as antioxidants to scavenge ROS under stress conditions [
64].
Lignin, a complex polymer and major structural component of plant secondary cell walls, is synthesized through a branch of the phenylpropanoid pathway[
65]. Lignification of cell walls also contributes to structural defense by creating a physical barrier that restricts pathogen entry and spread, particularly against fungi that rely on mechanical force to penetrate cell walls [
66]. Upon pathogen attack, lignin deposition can be rapidly increased at infection sites—a process known as cell wall lignification. This local lignification response restricts pathogen access to nutrients and prevents further spread within plant tissues [
67]. Additionally, the lignin biosynthesis process often involves the production of ROS, particularly H₂O₂, which acts as a substrate for lignin polymerization enzymes like peroxidase [
67]. In this study, the combination of EBR application and pathogen inoculation induced the upregulation of key genes involved in the lignin biosynthesis pathway, such as
CCR1 and
CAD, to increase lignin content in oat leaves. Together, our data highlights the crucial role of the lignin biosynthesis pathway in exogenous EBR-induced plant defense under pathogen attack.
5. Conclusions
In our study, we found that exogenous EBR application at 1 mg·L-1 mediates BR signal transduction, and improves the expression of genes involved in the antioxidant defense system, as well as the phenylpropanoid and lignin-specific pathways, to increase their activity, which in turn alleviates oxidative damage and enhances defense responses against leaf spot disease in oats. In this work, we are the first to report the resistance-induced effect of exogenous EBR application in oats to leaf spot disease that is induced by Drechslera avenae. Ultimately, our findings can provide a theoretical basis for the non-invasive control of leaf spot disease. Still, its detailed regulation mechanism and the identification of key metabolites responsible for these defense responses mediated still need to be further studied in the future.
Author Contributions
Conceptualization, W.Z. N.K. and Z.G.; methodology, W.Z. and N.K.; software, W.Z. and N.K.; validation, W.Z., N.K. Z.G. C.J. Z.Y and J.Z.; formal analysis, W.Z., N.K. Z.G. C.J. Z.Y and J.Z.; investigation, W.Z. and N.K.; resources, N.K. Z.G. Z.Y. and C.J.; data curation, W.Z. and N.K.; writing—original draft preparation, W.Z.; writing—review and editing, N.K.; visualization, Z.Y.and C.J.; supervision, Z.G. Z.Y. and C.J.; project administration, N.K. Z.G. Z.Y. and C.J.; funding acquisition, N.K. Z.G. Z.Y. and C.J. All authors have read and agreed to the published version of the manuscript.
Funding
This research was funded by National Center of Pratacultural Technology Innovation (under preparation) Special Fund for Innovation Platform Construction, grant number CCPTZX2023B05; and National Natural Science Foundation of China, grant number 32360342 and 32301491; and The APC was funded by Chief Scientist and Program in Gansu Province, grant number 23ZDKA013.
Data Availability Statement
The data presented in this study are available on request from the corresponding authors.
Acknowledgments
We extend our sincere gratitude to the College of Pratacultural at Gansu Agricultural University and the Key Laboratory of Grassland Ecosystems, Ministry of Education, for their invaluable support in facilitating our experimental platform.
Conflicts of Interest
The authors declare no conflicts of interest.
Appendix A
Table A1.
Primer design.
| Primer |
Upstream primer |
Downstream primer |
| Actin |
GAGCGGGAAATTGTAAGGGAC |
ATGGATGGCTGGAAGAGGAC |
| pepsico2_contig1860.path1 |
TCGCACTTCTACTTCGTCGG |
TGCAGGTATGTCATGGCGAG |
| pepsico1_contig1010.path1 |
CTGGCACCAACGAGGAGATT |
CGCCGAAAAGACCACCTTTG |
| pepsico1_contig31601.path1 |
ATACTTCGCGCTACTGTGGG |
TGCAACCTGCGAGTCATCTT |
| pepsico1_contig2831.path1 |
GTGAGAGCTGTGAGCGAAGT |
TTACCCAGGGCAGCTAGGAT |
| Pepsico1_Contig11380.path2 |
ACCACCGATGCCGTATGTTT |
GCCACCTCAGTCTCCAACTC |
| pepsico1_contig3446.path1 |
GCCATATCTCTGACCCTCGC |
TACCAAGCTGAGGAGCAAGC |
| pepsico1_contig4053.path1 |
ACGACATATGGCTCTGCCAC |
GATCGTGATCACCTCCGACG |
| Pepsico1_Contig4086.path1 |
CTTTCAGCAGTAATCGCCGC |
TCCCGTTCCATTGTCTGAGC |
| Pepsico1_Contig4133.path1 |
CCCCTTCCAGAGTGGTTCAC |
GGATCTTCAAGTGGCTGCCT |
| Pepsico1_Contig4140.path2 |
CGCACCTGGCGATTTGTATG |
TGAAGTGGCAGTAGCTGACG |
| Pepsico1_Contig4179.path2 |
AAGGCCGACGTCTTCAGTTT |
TCTTGTACAGCTTCCAGGCG |
| Pepsico1_Contig4239.path2 |
GGACGCCATCCCATAAGTGT |
TCCCTCATGCTCTTGCACTG |
| Pepsico1_Contig426.path1 |
TGGGCTTTATGCTCGTCTGG |
ACCTGCATCGCCTCGATATG |
| Pepsico1_Contig4293.path3 |
GGTGGAGCATGCCTATGAGT |
TTCTGGTCAAGTGCCGTTGT |
| Pepsico1_Contig4326.path1 |
CAGCAGTTGTGCAGGTAAGC |
TCTGTGGACAGACAGTTCGC |
| Pepsico1_Contig4396.path2 |
CAACGTCACCACCCTCCTAC |
GTCTTGGGTGGGGAATAGCC |
| Pepsico2_Contig20595.path1 |
AGAACTTCAGCCAGCTCGTC |
ATGCCTCAGCAGGATGTTCC |
| Pepsico2_Contig2061.path1 |
CACATCTACGAGAACGGGGG |
ATAGAGCGACCCTTCCCGAT |
| Pepsico2_Contig20671.path1 |
AGGCCAGACCCCTATTCCAT |
GAATTCCGACGACATGCAGC |
| Pepsico2_Contig8925.path1 |
GACGGCTCCACTAGAACCAC |
GGGCAACAAACGTCAGCATT |
Appendix B
Figure A1.
Expression levels and FPKM values of 20 randomly selected genes. The different lowercase letters represent significant differences among different treatments.
Figure A1.
Expression levels and FPKM values of 20 randomly selected genes. The different lowercase letters represent significant differences among different treatments.
Appendix C
Figure A2.
DEGs involved in biotic stress pathways based on Mapman analysis.
Figure A2.
DEGs involved in biotic stress pathways based on Mapman analysis.
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