Next Article in Journal
Skeletal Muscle Dysfunction in Experimental Pulmonary Hypertension
Next Article in Special Issue
Appressoria—Small but Incredibly Powerful Structures in Plant–Pathogen Interactions
Previous Article in Journal
Healthy-like CD4+ Regulatory and CD4+ Conventional T-Cell Receptor Repertoires Predict Protection from GVHD Following Donor Lymphocyte Infusion
Previous Article in Special Issue
Development of Comprehensive Serological Techniques for Sensitive, Quantitative and Rapid Detection of Soybean mosaic virus
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
IJMS
Volume 23
Issue 18
10.3390/ijms231810907
ijms-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Comparative Transcriptome Analysis and Genetic Methods Revealed the Biocontrol Mechanism of Paenibacilluspolymyxa NSY50 against Tomato Fusarium Wilt

by
Nanshan Du
1,
Hui Guo
1,
Ruike Fu
1,
Xiaoxing Dong
1,
Dongqi Xue
1,2,* and
Fengzhi Piao
1,*
1
College of Horticulture, Henan Agricultural University, Zhengzhou 450002, China
2
Henan Key Laboratory of Fruit and Cucurbit Biology, Henan Agricultural University, Zhengzhou 450002, China
*
Authors to whom correspondence should be addressed.
Int. J. Mol. Sci. 2022, 23(18), 10907; https://doi.org/10.3390/ijms231810907
Submission received: 18 August 2022 / Revised: 14 September 2022 / Accepted: 15 September 2022 / Published: 18 September 2022
(This article belongs to the Special Issue Plant Pathogen Diagnosis, Fungal Diversity, and Molecular Interaction with Host)
Browse Figures
Versions Notes

Abstract

:
Fusarium wilt caused by Fusarium oxysporum f. sp. lycopersici (Fol) is a common disease that affects tomatoes, which can cause the whole plant to wilt and seriously reduce the production of tomatoes in greenhouses. In this study, the morphological indexes, photosynthetic performance and incidence rate of NSY50 under Fol infection were evaluated. It was found that NSY50 could improve the growth of tomato seedlings and significantly reduce the incidence rate of Fusarium wilt. However, the molecular mechanism of NSY50 that induces resistance to Fusarium wilt is still unclear. We used transcriptomic methods to analyze NSY50-induced resistance to Fol in tomatoes. The results showed that plant defense related genes, such as PR and PAL, were highly expressed in tomato seedlings pretreated with NSY50. At the same time, photosynthetic efficiency, sucrose metabolism, alkaloid biosynthesis and terpene biosynthesis were significantly improved, which played a positive role in reducing the damage caused by Fol infection and enhancing the disease tolerance of seedlings. Through transgenic validation, we identified an important tomato NAC transcription factor, SlNAP1, which was preliminarily confirmed to be effective in relieving the detrimental symptoms induced by Fol. Our findings reveal that P. polymyxa NSY50 is an effective plant-growth-promoting rhizosphere bacterium and also a biocontrol agent of soil-borne diseases, which can significantly improve the resistance of tomato to Fusarium wilt.

1. Introduction

Tomato (Solanum lycopersicum) is an important vegetable crop that is widely cultivated in China and around the world. The growth process of tomatoes is easily disturbed by a variety of biotic and abiotic stresses, resulting in a significant decrease in their annual yield and quality [1]. In the process of greenhouse tomato cultivation, due to the high multiple cropping index, high temperature and humidity and relatively closed environment, it is easy to reduce the soil biodiversity and increase the pathogen quantity, eventually leading to serious leaf, fruit and soil-borne diseases [2]. Among them, Fusarium wilt is one of the most widely spread soil-borne fungi caused by Fusarium oxysporum, an ascomycete fungus belonging to the Nectriaceae family [3,4]. The genus Fusarium is widespread across the world, including more than 20 species, of which 14 species, such as F. avenaceum, F. equiseti, F. oxysporum, F. semitectum and F. solani, can infect vegetables and fruits, including potatoes, peppers, eggplants, melons, onions, pineapples, beans and bananas. Most Fusarium species are common in tropical and subtropical regions, and some in temperate regions. It is worth noting that F. avenaceum, F. culmorum, F. graminearum, F. poae, F. cerealis, F. sambucinum and F. tricinctum can infect cereals (barley, malt, oats, rye, corn, rice and wheat), beans, nuts and sugar beets, resulting in canker, root rot, brown foot rots, pink ear rot and wilts. It can be said that Fusarium is a serious threat to the safety of crops, vegetables and fruits, and the effective control of Fusarium is of great significance to ensure food safety [5].
At present, chemical fungicides are still the principal method to control Fol. A large number of chemical pesticides will cause soil and water pollution and seriously endanger human health. At the same time, the long-term use of chemical pesticides will cause drug resistance in Fol. Therefore, the use of environmentally friendly control methods is of particular importance [6,7]. Breeding tomato varieties that are resistant to Fol is a safe method, but it is time-consuming, and, if a new strain of Fol appears, breeding work also means failure. To date, three R genes against Fol have been identified (I-1, I-2 and I-3). I gene specifically recognizes the effectors secreted by Fol and triggers an ETI (effector-triggered immunity) response [8]. In addition, biological control, as a safe, eco-friendly, efficient and low-cost method, has become the focus of Fusarium wilt control. At present, a variety of fungicides made up of antagonistic microorganisms, such as Gliocladium virens, Aspergillus nidulans, Bacillus subtilis, Bacillus cereus, Streptomyces griseovirmis, Trichoderma harzianum and Pseudomonas chlororaphis, have been commercialized [9,10]. The application of biological control agents significantly reduces the incidence rate of Fusarium wilt in tomato, watermelon, soybean, peanut, wheat, maize and rice [11,12,13].
These plant-growth-promoting rhizobacteria (PGPR) or antagonistic microorganisms are mainly isolated from the rhizosphere of plants [14]. The PGPRs or endophytic bacteria protect plants from pathogens by stimulating plants, inducing systemic resistance (ISR) or systemic acquired resistance to achieve the healthy growth of plants and a new dynamic balance of the rhizosphere environment [15,16,17,18]. It is worth noting that P. polymyxa is an important biocontrol PGPR that promotes plant growth through nitrogen fixation, solubilizes phosphate and produces plant phytohormones (IAA, GA3 and ABA) and relieves biotic stress by producing insecticidal or bactericidal substances, such as antimicrobial peptides, hydrolytic proteins, bacteriocins and lipopeptides [15,19,20,21]. Studies have shown that P. polymyxa can suppress the growth of pathogens, have a good inhibitory effect on tomato root-knot nematodes and can also prevent and control a variety of bacterial diseases, such as tobacco bacterial wilt, Chinese cabbage soft rot, cucumber angular leaf spot and cucumber Fusarium wilt, as well as a variety of fungal diseases, such as tobacco brown spot, tomato Fusarium wilt, rice blast and tomato gray mold [22,23,24,25]. However, the interaction between PGPRs and pathogens is also affected by many environmental factors, which affect the biocontrol potential of PGPR [3]. Furthermore, the interaction among host plants, pathogens and PGPRs is a multi-level complex interaction, which requires systematic and overall study to better understand the molecular biocontrol mechanism of PGPR against pathogens.
We previously isolated a biocontrol agent, P. polymyxa NSY50, from vinegar residue compost and used proteomics to reveal that NSY50 actively regulates the composition of the rhizosphere microbial community to induce a cucumber defense response against Fusarium oxysporum f. sp. cucumerinum [24,26,27]. At present, it has been identified that several PGPRs derived from P. polymyxa have certain inhibitory effects on tomato Fusarium wilt, such as the CF05 and HY96-2 strains [28,29]. In addition to P. polymyxa, there are many PGPRs that had better control effects on tomato Fusarium wilt. For instance, B. amyloliquefaciens SN16-1 has high control potential against Fol [30]. Compared with the infected control, Azospirillum brasilense and Bacillus subtilis can significantly reduce the severity of tomato Fusarium wilt disease [31]. The antagonistic activity of 24 strains isolated from eight rhizosphere soils of tomato planting zones in Bangladesh against Fol showed that B. olei and B. methylotrophicus caused almost 40% disease inhibition on Pusa Rubi and Ratan and could enhance the growth of tomato [32]. Six strains with the greatest antigenic activity against Fol strain 3 were identified from 126 strains of Streptomyces. Strains IC10 and Y28 could significantly mitigate the wilting symptoms of Fusarium wilt; increase the shoot length, fresh weight and dry weight and the peroxidase (PDX) activity and induce the expression of defense genes, such as WRKY70, ERF1, LOX and TPX [33]. The inhibition rates of Pseudomonas fluorescens PF15 and Pseudomonas putida PP27 on the growth and germination of Fol were 47% and 10%, respectively [34]. The Bacillus aryabhattai strain SRB02 can reduce the effects of Fol by regulating plant endogenous hormones (higher accumulation of SA and reduction in JA) and up-regulating the content of amino acids [3].
In this study, we evaluated the control effect of the agent P. polymyxa strain NSY50 on tomato Fusarium wilt caused by Fol and the growth-promoting effects on tomato. The transcriptome analysis of resistant responses to Fol in tomato mediated by P. polymyxa has not yet been studied. Therefore, a comparative transcriptome analysis was used to analyze the changes in differentially expressed genes (DEGs) in tomato root tissues induced by NSY50 after Fol infection and preliminarily analyzed the pathway of NSY50-mediated tomato resistance response to Fusarium wilt. Furthermore, qRT-PCR was used to verify the expression level of plant resistance genes in tomato. The function of the NAC transcription factor (TF) SlNAP1 was verified using transgenic technology. In general, this study revealed the regulatory network of tomato resistance to Fol induced by P. polymyxa NSY50, confirmed that the SlNAP1 gene could effectively increase the resistance of tomato plants to Fol and provided a basis for studying the antagonistic mechanisms against Fusarium wilt of tomato by P. polymyxa NSY50.

2. Results

2.1. P. Polymyxa NSY50 Can Effectively Relieve the Damage of Fol to Tomato

We comprehensively evaluated the growth promotion and biocontrol efficiency of P. polymyxa NSY50 on susceptible tomato Ailsa Craig (AC). Phenotypic analysis showed that the plant height, root volume, fresh weight and dry weight of NSY50 treatment increased compared with the control, but the differences were not significant (Table 1). After inoculating Fol, NSY50 + FOL treatment could significantly enhance plant biomass compared with FOL treatment, in which plant height, fresh weight, dry weight and root volume improved by 76.40%, 90.46%, 148.74% and 306.99%, respectively. We could also clearly see that the tomato plants treated with FOL showed relatively weak growth and yellowing leaves, and the length and number of roots were significantly lower than thecontrol and NSY50 + FOL (Table 1, Figure 1A,B). The disease index survey showed that DI in the NSY50 + FOL treatment was significantly decreased by 28.34% compared with FOL (54.17%). In addition, we also found that the browning degree of vascular bundles in NSY50 + FOL was significantly lower than that in FOL, indicating that NSY50 could effectively delay the infection process of Fol (Figure 1C).
Chlorophyll content and photosynthetic parameters were closely related to the changes in plant biomass. When NSY50 was applied alone, the chlorophyll content, Pn, Gs, Ci and Tr increased by 2.98%, 6.59%, 36.36%, 10.35% and 34.13%, respectively, compared with the control. Enhancement in photosynthesis promotes an increase in plant height and weight, indicating that NSY50 can promote the growth of tomato plants (Table 1). When Fol was inoculated alone (FOL treatment), the photosynthetic parameters and chlorophyll content of plants decreased significantly, the plant became shorter and the leaves turned yellow. However, when NSY50 was applied in advance and then inoculated with Fol (NSY50 + FOL treatment), chlorophyll content, Pn, Gs, Ci and Tr increased by 78.25%, 41.98%, 257.14%, 42.61% and 81.77%, respectively, compared with FOL (Figure 2). The plant growth status of plantstreated with NSY50 + FOL was significantly better than that of FOL, and only part of the leaflet of the first leaf was yellowed (Table 1, Figure 1A). After a comprehensive evaluation of the plant phenotype, photosynthesis and growth parameters, it was found that P. polymyxa NSY50 can promote the growth of tomato plants and can also effectively reduce the harmful impact of Fol on tomato.

2.2. Identification and Functional Annotation of DEGs in the Process of NSY50 Biological Control Fol

To elucidate the mechanism of NSY50 relieving the detrimental symptoms of Fol on tomato, a comparative transcriptome analysis was performed on the tomato root of AC treated with NSY50 or sterile water and in combination with Fol inoculation. After sequencing and quality control, a total of 57.20 Gb clean data were produced, the percentage of Q30 in each sample was higher than 92.97% and the GC content ranged from 43.51% to 44.13%. The sequence alignment rate between the sample and the reference genome was from 74.16% to 93.51%, and 71.16–90.36% of reads were uniquely mapped (Table S2). In addition, the correlation coefficients between different replicates were from 0.946 to 0.994, indicating that the samples had good repeatability (Figure S1). RNA-Seq data were of good quality and could be utilized to further analysis.
The gene expression levels in the samples of the control, FOL and NSY50 + FOL were determined. Compared with the control, a total of 7030 DEGs were identified in the NSY50 + FOL treatment, of which 3532 were up-regulated and 3,498 were down-regulated; there were 390 DEGs in NSY50 + FOL compared with FOL, of which 294 were up-regulated and 96 were down-regulated (Tables S3 and S4). By constructing a Venn diagram between the comparison groups, we found a total of 100 unique DEGs in the “NSY50 + FOL vs. FOL” group and the “NSY50 + FOL vs. Control” group, which may be closely related to NSY50 relieving the harmful effect of Fol on tomatoes (Figure S2). Additionally, we then annotated the functions of DEGs in several different databases, and the annotation results of each group of DEGs are shown in Table S5.

2.3. GO and KEGG Pathway Analysis of DEGs

To further explore the biochemical pathways of DEGs in NSY50 biological control Fol, GO and KEGG pathway analyses were performed. The results of the biological process of the GO analysis showed that the hydrogen peroxide catabolic process and response to oxidative stress were significantly enriched in the “NSY50 + FOL vs. Control” and “FOL vs. Control” groups, which may be related to the rapid outbreak of reactive oxygen species in tomato plants after Fol infection (Figure S3A,B). However, in the “NSY50 + FOL vs. FOL” group, we found that the significance of the above two processes and the number of enriched genes were clearly significantly reduced, while the serine/threonine phosphatase activity, glutamine metabolic process and abscisic-acid-activated signaling pathway were significantly enriched (Figure S3C).
KEGG enrichment analysis showed that phenylpropanoid biosynthesis, starch and sucrose metabolism, glutathione metabolism, isoquinoline alkaloid biosynthesis, porphyrin and chlorophyll metabolism pathways were significantly enriched in the “NSY50 + FOL vs. Control” and “FOL vs. Control” groups. However, the enrichment levels of DEGs in these pathways were higher in the “NSY50 + FOL vs. Control” group than in the “FOL vs. Control” group (Figure S3D,E). Meanwhile, in the “NSY50 + FOL vs. Control” group, the plant–pathogen interaction pathway was also significantly enriched (Figure S3E). Meanwhile, we measured the indicator genes in the plant disease interaction and salicylic acid signal transduction pathways, such as PR, NPR1, ARR4 and PAT1, using qRT-PCR. It was found that the expression levels of PR, PAL2, MPH1, STH-2 and PAT1 in the ‘NSY50 + FOL’ treatment were significantly higher than those in FOL and the control. In particular, PR1 and PR4 genes were highly expressed in the PR gene (Figure 3). In the “NSY50 + FOL vs. FOL” group, alkaloid biosynthesis, terpene biosynthesis, unsaturated fat acid biosynthesis and flavonoid biosynthesis were significantly enriched, and the synthesis and metabolites of these pathways were also closely related to plant disease resistance (Figure S3F). According to the differences among different comparison groups, when NSY50 was applied in advance, the plants could quickly mobilize their own defense responses to resist the infection of the pathogen.

2.4. Identification of NAC Transcription Factors in Tomato after Fol Infection

Our previous study found that NAC transcription factor SlNAP1 can increase salt tolerance by modulating ion homeostasis. In order to analyze the response of tomato NAC genes to Fol infection, NAC transcription factors in the transcriptome data of the control, FOL and NSY50 + FOL were statistically analyzed. We identified 33 differentially expressed NAC TFs and their expression ratios after Fol infection (Figure 4A, Table S6). Compared with the ‘Control’, the expression of four NAC genes (Solyc04g005610.3, Solyc05g007770.3, Solyc06g074170.3 and Solyc07g063410.3) was significantly up-regulated in the ‘NSY50 + FOL’ treatment (4.87 < Log2FC < 7.31). Moreover, when compared with the ‘FOL’ treatment, only Solyc04g005610.3 (SlNAP2) and Solyc05g007770.3 (SlNAP1) were up-regulated (0.77 < Log2FC < 1.25). We measured the expression of these two genes in the three treatments. As shown in Figure 4B, the expression of the Solyc05G007770.3 gene significantly increased and reached the maximum in the ‘NSY50 + FOL’ after Fol inoculation, which was 58.2 times higher than that in the control. The expression of Solyc04g005610.3 was also significantly increased, but the expression level was slightly lower than that of Solyc05g007770.3.

2.5. SlNAP1 Promotes Plant Growth and Relieves the Harmful Effect of Fol on Tomato

To study the effect of the SlNAP1 gene on the retardation or attenuation of the harmful impact of Fol on tomato, we performed a SlNAP1 overexpression experiment and obtained two homozygous lines: OE#1 and OE#2. We inoculated the four-leaf-old overexpression plants with Fol and found that there was no significant difference in plant height, stem diameter, fresh weight and dry weight between the two SlNAP1 overexpressed tomatoes at 21 dpi, but they were significantly higher than those of WT plants, with average values of 2.21, 1.71, 3.69 and 2.66 higher than the control (Figure 5A–D). The measurement of photosynthetic parameters showed that the GS and Ci of overexpression plants were not significantly different from WT, but Pn and Tr were significantly higher than WT (Figure S4). Then, we analyzed the correlation between the photosynthetic parameters, fresh weight and dry weight of WT, OE#1 and OE#2. The results showed that there was a significant correlation between fresh weight and dry weight (R2 = 0.969). Both fresh weight and dry weight were negatively correlated with Ci, and the correlation coefficients were −0.781 and −0.792, respectively. Fresh weight and Pn were significantly positively correlated with Tr, and the correlation coefficients were 0.686 and 0.853, respectively (Table S7). The transcript abundance of the SlNAP1 gene showed that the expression of SlNAP1 in two overexpressed plants was significantly higher than that in WT, and the expression of SlNAP1 in overexpressed plants was significantly increased by 3.8 and 5.1 times compared to WT after Fol inoculation (Figure 4F). Combined with the observation of plant phenotypes of OE#1 and OE#2, we observed that, after Fol inoculation, the growth of OE#1 and OE#2 plants was significantly better than that of WT, and the browning degree of vascular bundles in overexpressed plants was significantly lower than that of WT (Figure 4G,H). The results showed that the harmful effect of Fol on tomato was effectively relieved. We analyzed the disease index (DI) of two SlNAP1 overexpression plants inoculated with Fol and found that the DI of OE#1 and OE#2 significantly decreased by 38.34% and 33.34%, respectively, compared with the control (Figure 4E).

3. Discussion

Tomato growth requires a good ecological environment, and the plant rhizosphere, water, oxygen, mineral elements and beneficial microorganisms must maintain a healthy dynamic balance. However, such an ideal state is difficult to achieve. The reality is that the above-ground tissues and roots of tomato are always disturbed by pathogenic microorganisms. In production, we usually use chemical insecticides or fungicides to control these harmful pathogens. However, excessive application of chemical pesticides will pollute the environment and bring indirect harm to people or animals.
PGPR, such as P. polymyxa, B. amyloliquefaciens, B. Olei, B. aryabhattai, Pseudomonas putida and B. subtilis, as important beneficial bacteria that can not only promote plant growth but also act asbiological control agents to control soil-borne diseases, have been widely discovered and applied [3,19,30,31,33,34]. P. polymyxa strains are well known for their plant-growth-promoting (PGP) properties and as biocontrol agents against harmful plant pathogens [25]. P. polymyxa strains were isolated from crop rhizosphere and internal tissues, such as strains B1, B2, CF43, PMD216 and PMD112 isolated from wheat rhizosphere [35,36,37]; BMP-11, BRF-1 and SQR-21 were isolated from cucumber, soybean, watermelon and muskmelon, respectively [38,39] and JSa-9, SR04-02, SR04-16, EG2 and EG14 were isolated from soil [40,41]. These strains showed antagonistic activity against pathogenic fungus (such as Fusarium oxysporum f. sp. niveum, Pseudomonas syringae pv., Lachrymans and Acidovorax avenae subsp. citrulli) and may be promising biocontrol agents. P. polymyxa NSY50 used in this experiment has an obvious inhibitory effect on the Fusarium wilt of cucumber. Therefore, we aimed to explore whether NSY50 could also reduce the harmful effect of Fol on tomatoes. We conducted a confrontation assay between NSY50 and Fol in the PDA medium. It was obvious that there was no Fol hypha at the inoculation site of NSY50 (Figure S5). The plant height, dry weight, fresh weight and root volume of AC plants treated with NSY50 were significantly better than the control and FOL treatment, indicating that NSY50 can promote an increase in tomato plant biomass. At the same time, NSY50 could significantly reduce the incidence rate of Fusarium wilt after inoculation with Fol. The preliminary results showed that NSY50 was a new PGPR in P. polymyxa and could be used as a biocontrol agent to control tomato Fusarium wilt (Table 1, Figure 1).
At present, it is known that P. polymyxa strains CF05, SC09-21, SR04-02 and SR04-16 can improve plant growth, suppress tomato Fusarium wilt and Fusarium crown, induce the systemic resistance of tomato plants, stimulate the release of plant defense enzymes and protect tomato from pathogens [25,29,41]. In light of this, how do P. polymyxa strains NSY50 promote plant growth and suppress tomato Fusarium wilt?
Based on the determination of the chlorophyll content and photosynthetic parameters, when NSY50 was pretreated, the photosynthetic capacity of the plant was superior to the control and significantly higher than that of the FOL treatment (Table 1 and Figure 2), indicating that NSY50 can improve the photosynthetic efficiency of tomato seedlings under Fusarium wilt stress, promote the photosynthetic carbon assimilation capacity and reduce the inhibitory effect of Fusarium wilt stress on the growth of tomato seedlings. These results were consistent with the research conclusions of Du and Ahammed [42,43], who found that PGPR could effectively improve the photosynthetic performance of cucumber. Then, we performed transcriptome analysis of ‘NSY50 + FOL’, ‘FOL’ and control treatments and found that NSY50 could improve the efficiency of sucrose metabolism in tomato. Compared with the control, the expression was significantly up-regulated of sucrose phosphate synthase gene (Solyc09g092130.3) and sucrose synthase gene (Solyc01g102840.3, Solyc07g04250.3 and Solyc12g009300.3) in the starch and sucrose metabolism pathway (ko00500) and phosphomannomutase gene (Solyc05g046340.2) in the fructose and mannose metabolism pathway (ko00051), thereby increasing the content of sucrose and starch in the plant and providing a material and energy basis for the normal metabolism of plants. Previous studies have shown that high levels of soluble sugar, fructose, sucrose and starch in plants not only provide sufficient energy for plant growth but also play a positive role in balancing intracellular osmotic potential and improving plant resistance [44,45]. This was also consistent with our result in this study that, when NSY50 was pretreated, the incidence rate of Fusarium wilt of tomato seedlings significantly decreased by 28.34% compared to without NSY50 (Table 1). In addition, among the disease-resistance-related pathways enriched by DEGs, we found that PR1 genesSolyc09g007010.1 and Solyc09g007020.1 and ChiB genes Solyc01g097280.2, Solyc07g009500.3 and Solyc07g009510.1 in the MAPK signaling pathway (ko04016) were significantly up-regulated, and they played a positive role in enhancing the plant pathogen defense. We also found that TG TFs (Solyc10g08521.2) and the PR1 gene in the SA metabolic pathway of the plant hormone signal transduction pathway (ko04075) were also significantly up-regulated. Additionally, in the SA biosynthesis isochorismate synthase pathway (ko01851), isochorismate synthase (ICS) genes Solyc10g083270 and Solyc02g085180.5.1 enhanced disease susceptibility 1 (EDS1) gene Solyc06g071280.4, and PAL genes Solyc10g011925.1, Solyc03g042560.3, Solyc12g096190.2 and Solyc05g056170.3 in the phenylalanine ammonia-lyase pathway (ko10775) were significantly up-regulated. A large amount of SA synthesized by plants plays a positive role in resisting Fol infection. However, approximately 10% of the SA biosynthesis induced by pathogens in Arabidopsis thaliana was due to the phenylalanine ammonia-lyase pathway, while 90% of SA was synthesized by the isochorismate synthase pathway [46].
Transcriptional regulation of gene expression plays an important role in plant adaptation to the environment and resistance to stress. TFs are a class of important regulatory genes that regulate gene expression. They activate or repress the transcriptional expression of target genes by binding to specific DNA sequences in the promoters of target genes. Combined with previous studies on NSY50, we found that NAC TFs, especially SlNAP1 and SlNAP2 genes, were significantly up-regulated by 25.95 and 26.08 times in Fol infection after pretreatment with NSY50 (Table S6). Recent studies have shown that NAC TF family genes play an important role in the disease resistance response of plants to pathogens. For example, the expression of OsNAC19 in rice is induced by infection of Magnaporthe grisea and disease resistance signaling molecules MeJA, ABA and ETH [47]; Jensen found that overexpression of the ATAF1 gene enhanced resistance to barley powdery mildew, while ataf1 mutant plants decreased resistance to powdery mildew [48]. Arabidopsis ANAC019 and ANAC055 genes participate in JA-mediated defense response and regulate the expression of JA-induced defense genes VSP1 and LOX2. The overexpression of the ANAC019 and ANAC055 genes in Arabidopsis thaliana can enhance resistance to Botrytis cinerea [49]. In this study, in order to elucidate the function of NAC TFs in the response to tomato Fusarium wilt, we constructed two overexpression plants of NAC TFs: SlNAP1 and SlNAP2. According to the plant phenotype of the two SlNAP1 overexpression homozygous lines OE#1 and OE#2 inoculated with Fol, we found that OE#1 and OE#2 plants grew better than the control, and the incidence rate of Fusarium wilt was also significantly lower than that of the control (Figure 5). At present, we have not obtained SlNAP2 overexpression plants, but, fortunately, we have just obtained a few heterozygous T0 generation tomato plants with the single and double knockout of SlNAP1 and SlNAP2 genes. After obtaining the homozygous lines, we will carry out subsequent salt stress and phenotype identification. However, previous studies have confirmed that the SlNAP1 overexpression plants showed better resistance to Pseudomonas syringae PV. DC3000 and Ralstonia solanacearum [50]. Therefore, combined with the findings of this study, the SlNAP1 gene should also play a positive role in alleviating the detriment of tomato to Fusarium wilt.

4. Materials and Methods

4.1. Plant Material, Microbial Culture and Inoculation Treatment

Tomato seeds (Ailsa Craig, AC) were sterilized with 2.75% NaClO for 3 min, washed 3 times with sterile water and then sown in seedling nursing containers filled with sterilized vermiculite (3.15′′D × 3.15′′W × 3.54′′ inches, square plastic pots). Three-leaf-old tomato plants with the same growth potential were selected for inoculation. During the process of tomato cultivation, Hoagland nutrient solution was applied. The photoperiod was 16 h (light): 8 h (dark), the temperature was 25 °C, the relative humidity was 75% and the photosynthetic photon flux density (PPFD) was 200 µmol m−2·s−1. P. polymyxa NSY50 was grown on TSB medium at 28 °C for three days while shaking at 160 rpm and then centrifuged at 6000 rpm for 5 min. The supernatant was discarded and suspended in sterile water, and the concentration was adjusted to 1 × 108 CFU/mL. Fol was cultured in PDB for 7 days, filtered by a gauze and adjusted to 1 × 107 spores per mL with sterile water. Tomato seedlings were inoculated as follows: (1) control, 50 mL sterile water; (2) FOL, 50 mL spore suspension of Fol; (3) NSY50, 50 mL cell suspension of NSY50; (4) NSY50 + FOL, 50 mL NSY50 cell suspension was inoculated, and, 3 days later, 50 mL Fol was inoculated. Fol or NSY50 suspension was poured into the substrate of the root of the tomato plants.

4.2. Biocontrol Evaluation of NSY50

At 23 days post-inoculation (dpi), we measured the disease index (DI) values, tomato growth parameters and leaf photosynthetic indexes of different treatments. DI was calculated referring to the methods of Akram [51] and Cachinero [52]. The scoring criteria of wilting and DI are presented in Supplementary File S1. The data of tomato plant height, fresh weight and dry weight were recorded. Root volume was determined using the WinRHIZO STD4800 LA2400 root analysis system (Regent Instruments Inc., Québec, QC, Canada). The chlorophyll content of tomato leaves was measured using a SPAD-502 chlorophyll-meter (Minolta Camera Co. Ltd., Osaka, Japan). Photosynthetic characteristics, such as Pn, Gs, Ci and Tr, were determined using LI-6400XT (LI-COR, Inc., Lincoln, NE, USA) at 10 to 11 a.m. as described by Zhang [53].

4.3. RNA Extraction and qRT-PCR Analysis

After 24h of inoculation with water (control) or Fol, the root tissues of tomato plants in each treatment were soaked in liquid nitrogen. Total RNA was extracted from root tissues using the TRIzol method (Thermo Fisher Scientific, Waltham, MA, USA) and reversed into cDNA using the Superscript IV reverse Transcriptase kit (Thermo Fisher Scientific, Waltham, MA, USA). Fourteen genes related to plant disease resistance and plant hormone signal transduction, such as PR1, NPR1, PAL2, PR4 and RAS1, underwent procedure for qRT-PCR that applied a CFX96TM Real-Time System (Bio-Rad, Hercules, CA, USA) using the PowerUp™ SYBR™ Green Master Mix (Thermo Fisher Scientific, Waltham, MA, USA). The qRT-PCR primers are shown in Table S1, and the relative expression was calculated using the 2−ΔΔCt method [54].

4.4. Sequencing Library Construction, Sequencing, Quality Control and Mapping

High-quality RNA from the root tissues of the control, FOL and NSY50 + FOL treatments was used to construct sequencing libraries. Based on the sequencing using the synthesis (SBS) technology, the cDNA library was sequenced on the Illumina Hiseq4000 platform by Biomarker Technologies Corporation (Beijing, China) and the read length was PE150. Ewing’s method was used to evaluate the basic quality of raw reads [55]. Clean reads were obtained by filtering out low-quality reads, as well as evaluating the GC content and Q30 value. Clean reads were mapped to the tomato reference genome Heinz1706 using HISAT2 software 4.0 (https://solgenomics.net/ftp/genomes/Solanum_lycopersicum/Heinz1706/assembly/build_4.00/, accessed on 18 November 2021) [56].

4.5. Screening of DEGs, Annotation, GO and KEGG Analysis

The FPKM value was used to measure the expression level of transcripts, and the DESeq2 software package was used to calculate the differential expression of transcripts between the samples; the transcripts with fold change ≥2 or ≤−2 and p-adjusted value <0.01 were considered as the DEGs [57]. The DEGs were annotated in COG, KOG, NR and Pfam databases. GO and KEGG enrichment was performed using Go-seq and KOBAS 3.0 software, respectively, and a p-value < 0.01 was considered to be significantly enriched [58,59]. NAC TFs are involved in the regulation of plant growth and development and play an important role in the plant disease resistance response to pathogens. Therefore, the expression levels of NAC TFs significantly enriched in DEGs were determined, and the identification of overexpression plants via inoculation was carried out.

4.6. Construction and Resistance Evaluation of Overexpression and Knockout Plants

The CDS sequences of the SlNAP1 (Solyc05g007770.3) and SlNAP2 (Solyc04g005610.3) genes were amplified with specific primers (Table S1), and the PCR product was digested by AscI and KpnI and cloned into a PFGC1008-HA vector. The CRISPR/Cas9 vector was kindly provided by Shi Lu (Institute of Agricultural Product Safety and Nutrition, Jiangsu Academy of Agricultural Sciences, China). The targetsof PAM-guide sequences for knockout SlNAP1 (Solyc05g007770.3), SlNAP2 (Solyc04g005610.3) and SlNAP1+SlNAP2 genes were designed using CRISPR-P 2.0 [60]. Transgenic tomato plants were obtained according to Abraham’s protocol [61]. We selected two homozygous lines, OE-SlNAP1-1 and OE-SlNAP1-2, with a high expression of the SlNAP1 gene for subsequent experiments. Phenotypic analysis was performed on AC and transgenic plants after the inoculation of Fol.

4.7. Statistical Analysis

Each treatment had 30 tomato seedlings, and three biological replicates were performed. Analysis of variance was performed using SPSS (SPSS Inc., Chicago, IL, USA), and significance analysis was conducted using an LSD test with a confidence level of 95%; the different letters indicate significant differences between treatments. All histograms were performed on Graphpad Prism 5 software (GraphPad, San Diego, CA, USA).

5. Conclusions

In this study, we identified a highly efficient PGPR strain, P. polymyxa NSY50, which can improve the growth and photosynthetic performance of tomato seedlings and promote the ability of tomato sucrose metabolism and fructose and mannose metabolism under Fol stress. Transcriptome analysis showed that NSY50 could also improve the alkaloid biosynthesis, terpene biosynthesis and unsaturated fat acid biosynthesis abilities of tomato plants and play a positive role in reducing the damage caused by Fol infection and enhancing the disease tolerance of seedlings. Through transgenic validation, we identified an important tomato NAC transcription factor, SlNAP1, which may play an active role in relieving the detrimental symptoms induced by Fol.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/ijms231810907/s1.

Author Contributions

N.D. and F.P. designed the study and guided the research; D.X. wrote the MS; H.G. performed the experiments; R.F. and X.D. analysis the data. All authors reviewed and approved the manuscript. N.D. and H.G. contributed equally to the article. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by the National Natural Science Foundation of China (NSFC) (31801907), Henan Scientific and Technological Research Project (202102110042), The Key Research and Development Foundation of Henan (222102110257), Science and Technology Innovation Fund of Henan Agricultural University (KJCX2021A15) and China Agriculture Research System (CARS-23-B02).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The raw data of transcriptome sequencing were stored in the SRA database of NCBI (http://www.ncbi.nlm.nih.gov/sra, accessed on 30 August 2022). The accession numbersare: SRR21098351, SRR21098350, SRR21098349, SRR21098348, SRR21098347, SRR21098346, SRR21098345, SRR21098344 and SRR21098343.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Stout, M.J.; Kurabchew, H.; Leite, G.L.D. Chapter 9-Host-Plant Resistance in Tomato. In Sustainable Management of Arthropod Pests of Tomato; Wakil, W., Brust, G.E., Perring, T.M., Eds.; Academic Press: New York, NY, USA, 2018; pp. 217–236. [Google Scholar]
  2. Joshi, R. A review of Fusarium oxysporum on its plant interaction and industrial use. J. Med. PlantsStud. 2018, 6, 112–115. [Google Scholar] [CrossRef]
  3. Shahzad, R.; Tayade, R.; Shahid, M.; Hussain, A.; Ali, M.W.; Yun, B.W. Evaluation potential of PGPR to protect tomato against Fusarium wilt and promote plant growth. PeerJ 2021, 9, e11194. [Google Scholar]
  4. Walker, J.C. Fusarium wilt of tomato. Monograph No.6. U.S.A. Am. Phytopathol. Soc. 1971, 147, 155–161. [Google Scholar]
  5. Nofal, A.M.; El-Rahman, M.A.; Abdelghany, T.M.; Abd El-Mongy, M. Mycoparasitic nature of Egyptian Trichoderma isolates and their impact on suppression Fusarium wilt of tomato. Egypt J. Biol. Pest.Control 2021, 31, 103. [Google Scholar] [CrossRef]
  6. Okungbowa, F.I.; Shittu, H.O. Fusarium Wilts: An Overview. Environ. Res. 2014, 6, 83–102. [Google Scholar]
  7. Alamri, S.A.M.; Hashem, M.; Moustafa, Y.S.; Nafady, N.A.; Abo-Elyousr, K.A.M. Biological control of root rot in lettuce caused by Exserohilum rostratum and Fusarium oxysporum via induction of the defense mechanism. Biol. Control 2019, 128, 76–84. [Google Scholar] [CrossRef]
  8. Bohn, G.W.; Tucker, C.M. Studies on Fusarium wilt of the Tomato. I. Immunity in Lycopersicon pimpinellifolium Mill, and its inheritance in hybrids. Missouri Agric. Exp. Stn. Res. Bull. 1940, 311, 1–82. [Google Scholar]
  9. Datnoff, L.E.; Nemec, S.; Pernezny, K. Biological Control of Fusarium Crown and Root Rot of Tomato in Florida Using Trichoderma harzianum and Glomus intraradices. Biol. Control 1995, 5, 427–431. [Google Scholar] [CrossRef]
  10. Gupta, C.P.; Sharma, A.; Dubey, R.C.; Maheshwari, D.K. Pseudomonas aeruginosa (GRC1) as a strong antagonist of Macrophomina phaseolina and Fusarium oxysporum. Cytobios 1999, 99, 183–189. [Google Scholar]
  11. Ramezani, H. Efficacy of some fungal and bacterial bioagents against Fusarium oxysporum f. sp. Cicerion chickpea. Plant Prot. J. 2009, 1, 108–113. [Google Scholar]
  12. Sallam, N.M.A.; Eraky, A.M.I.; Sallam, A. Effect of Trichoderma spp. on Fusarium wilt disease of tomato. Mol. Biol. Rep. 2019, 46, 4463–4470. [Google Scholar] [CrossRef] [PubMed]
  13. Akköprü, A.; Demir, S. Biological control of Fusarium wilt in tomato caused by Fusarium oxysporum f. sp. lycopersici by AMF Glomus intraradices and some rhizobacteria. J. Phytopathol. 2005, 153, 544–550. [Google Scholar]
  14. Kloepper, J.W.; Leong, J.; Teintze, M.; Schroth, M.N. Enhanced plant growth by siderophores produced by plant growth-promoting rhizobacteria. Nature 1980, 286, 885–886. [Google Scholar] [CrossRef]
  15. Bhardwaj, D.; Ansari, M.W.; Sahoo, R.K.; Tuteja, N. Biofertilizers function as key player in sustainable agriculture by improving soil fertility, plant tolerance and crop productivity. Microb. Cell Fact. 2014, 13, 66. [Google Scholar] [CrossRef] [PubMed]
  16. Pieterse, C.; Zamioudis, C.; Berendsen, R.L.; Weller, D.M.; Wees, S.V.; Bakker, P. Induced systemic resistance by beneficial microbes. Ann. Rev. Phytopathol. 2014, 52, 347–375. [Google Scholar] [CrossRef]
  17. Chowdhury, S.P.; Hartmann, A.; Gao, X.; Borriss, R. Biocontrol mechanism by root-associated Bacillus amyloliquefaciens FZB42-a review. Front. Microbiol. 2015, 6, 780. [Google Scholar] [CrossRef] [PubMed]
  18. Mishra, A.; Singh, S.P.; Mahfooz, S.; Singh, S.P.; Bhattacharya, A.; Mishra, N.; Nautiyal, C.S. Endophyte-Mediated Modulation of Defense-Related Genes and Systemic Resistance in Withania somnifera (L.) Dunal under Alternaria alternata stress. Appl. Environ. Microbiol. 2018, 84, e02845-17. [Google Scholar] [CrossRef] [Green Version]
  19. Glick, B.R. The enhancement of plant growth by free-living bacteria. Can. J. Microbiol. 1995, 41, 109–117. [Google Scholar] [CrossRef]
  20. Mohmood, T.; Gupta, K.J.; Kaiser, W.M. Cadmium stress stimulates nitric oxide production by wheat roots. Pak. J. Bot. 2009, 41, 1285–1290. [Google Scholar]
  21. Grady, E.N.; Macdonald, J.; Liu, L.; Richman, A.; Yuan, Z.C. Current knowledge and perspectives of Paenibacillus: A review. Microb. Cell Fact. 2016, 15, 203. [Google Scholar] [CrossRef]
  22. Khan, Z.; Kim, S.G.; Jeon, Y.H.; Khan, H.U.; Son, S.H.; Kim, Y.H. A plant growth promoting rhizobacterium, Paenibacillus polymyxa strain GBR-1, suppresses root-knot nematode. Bioresour. Technol. 2008, 99, 3016–3023. [Google Scholar] [CrossRef] [PubMed]
  23. Ren, X.; Zhang, N.; Cao, M.; Wu, K.; Shen, Q.; Huang, Q. Biological control of tobacco black shank and colonization of tobacco roots by a Paenibacillus polymyxa strain C5. Biol. Fertil. Soils 2012, 48, 613–620. [Google Scholar] [CrossRef]
  24. Shi, L.; Du, N.; Shu, S.; Sun, J.; Li, S.; Guo, S. Paenibacillus polymyxa NSY50 suppresses Fusarium wilt in cucumbers by regulating the rhizospheric microbial community. Sci. Rep. 2017, 7, 41234. [Google Scholar] [CrossRef] [PubMed]
  25. Padda, K.P.; Puri, A.; Chanway, C.P. Paenibacillus polymyxa: A Prominent Biofertilizer and Biocontrol Agent for Sustainable Agriculture. In Agriculturally Important Microbes for Sustainable Agriculture: Volume 2: Applications in Crop Production and Protection; Springer: Singapore, 2017; pp. 65–191. [Google Scholar]
  26. Du, N.; Shi, L.; Yuan, Y.; Li, B.; Shu, S.; Sun, J.; Guo, S. Proteomic Analysis Reveals the Positive Roles of the Plant-Growth-Promoting Rhizobacterium NSY50 in the Response of Cucumber Roots to Fusarium oxysporum f. sp. cucumerinum Inoculation. Front. Plant Sci. 2016, 7, 1859. [Google Scholar] [CrossRef] [PubMed]
  27. Du, N.; Shi, L.; Yuan, Y.; Sun, J.; Shu, S.; Guo, S. Isolation of a potential biocontrol agent Paenibacillus polymyxa NSY50 from vinegar waste compost and its induction of host defense responses against Fusarium wilt of cucumber. Microbiol. Res. 2017, 202, 1–10. [Google Scholar] [CrossRef]
  28. Yi, J.; Zhang, D.; Cheng, Y.; Tan, J.; Luo, Y. The impact of Paenibacillus polymyxa HY96-2 luxS on biofilm formation and control of tomato bacterial wilt. Appl. Microbiol. Biotechnol. 2019, 103, 9643–9657. [Google Scholar] [CrossRef] [PubMed]
  29. Mei, L.; Liang, Y.; Zhang, L.; Wang, Y.; Guo, Y. Induced systemic resistance and growth promotion in tomato by an indole-3-acetic acid-producing strain of Paenibacillus polymyxa. Ann. Appl. Biol. 2014, 165, 270–279. [Google Scholar] [CrossRef]
  30. Wan, T.; Zhao, H.; Wang, W. Effects of the biocontrol agent Bacillus amyloliquefaciens SN16-1 on the rhizosphere bacterial community and growth of tomato. J. Phytopathol. 2017, 166, 324–332. [Google Scholar] [CrossRef]
  31. Abo-Elyousr, K.A.M.; Mohamed, H.M. Biological Control of Fusarium Wilt in Tomato by Plant Growth-Promoting Yeasts and Rhizobacteria. Plant Pathol. J. 2009, 25, 199–204. [Google Scholar] [CrossRef]
  32. Islam, A.; Kabir, M.S.; Khair, A. Molecular Identification and Evaluation of Indigenous Bacterial Isolates for Their Plant Growth Promoting and Biological Control Activities against Fusarium Wilt Pathogen of Tomato. Plant Pathol. J. 2019, 35, 137–148. [Google Scholar] [CrossRef]
  33. Abbasi, S.; Safaie, N.; Sadeghi, A.; Shamsbakhsh, M. Streptomyces strains Induce Resistance to Fusarium oxysporum f. sp. lycopersici race 3 in tomato through different molecular mechanisms. Front. Microbiol. 2019, 10, 1505. [Google Scholar] [PubMed]
  34. Boukerma, L.; Benchabane, M.; Charif, A.; Khelifi, L. Activity of Plant Growth Promoting Rhizobacteria (PGPRs) in the Biocontrol of Tomato Fusarium Wilt. Plant Prot. Sci. 2017, 53, 78–84. [Google Scholar]
  35. Ruppel, S. Isolation and Characterization of Dinitrogen-Fixing Bacteria from The Rhizosphere of Triticum Aestivum and Ammophila Arenaria. Dev. Soil Sci. 1989, 18, 253–262. [Google Scholar]
  36. Gouzou, L.; Burtin, G.; Philippy, R.; Bartoli, F.; Heulin, T. Effect of inoculation with Bacillus polymyxa on soil aggregation in the wheat rhizosphere: Preliminary examination. Geoderma 1993, 56, 479–491. [Google Scholar] [CrossRef]
  37. Lebuhn, M.; Heulin, T.; Hartmann, A. Production of auxin and other indolic and phenolic compounds by Paenibacillus polymyxa strains isolated from different proximity to plant roots. FEMS Microbiol. Ecol. 1997, 22, 325–334. [Google Scholar] [CrossRef]
  38. Liu, W.W.; Wei, M.U.; Zhu, B.Y.; You-Chen, D.U.; Liu, F. Antagonistic Activities of Volatiles from Four Strains of Bacillus spp. and Paenibacillus spp. Against Soil-Borne Plant Pathogens. Agric. Sci. China 2008, 7, 1104–1114. [Google Scholar] [CrossRef]
  39. Raza, W.; Yang, X.; Wu, H.; Wang, Y.; Xu, Y.; Shen, Q. Isolation and characterisation of fusaricidin-type compound-producing strain of Paenibacillus polymyxa SQR-21 active against Fusarium oxysporum f.sp. nevium. Eur. J. Plant Pathol. 2009, 125, 471–483. [Google Scholar] [CrossRef]
  40. Deng, Y.; Lu, Z.; Lu, F.; Wang, Y.; Bie, X. Study on an antimicrobial protein produced by Paenibacillus polymyxa JSa-9 isolated from soil. World J. Microbiol. Biotechnol. 2011, 27, 1803–1807. [Google Scholar] [CrossRef]
  41. Xu, S.J.; Kim, B.S. Biocontrol of fusarium crown and root rot and promotion of growth of tomato by paenibacillus strains isolated from soil. Mycobiology 2014, 42, 158–166. [Google Scholar] [CrossRef]
  42. Du, N.; Yang, Q.; Xue, L.; Guo, H.; Lv, J.; Zhang, T.; Dong, X.; Shen, S.; Piao, F. Paenibacillus polymyxa NSY50 Improves Defense Against Fusarium oxysporum by Increasing Photosynthetic Efficiency, Sucrose Metabolism, and Antioxidant Capacity in Cucumber. J. Plant Growth Regul. 2022, in press. [CrossRef]
  43. Ahammed, G.J.; Mao, Q.; Yan, Y.; Wu, M.; Wang, Y.; Ren, J.; Guo, P.; Liu, A.; Chen, S. Role of Melatonin in Arbuscular Mycorrhizal Fungi-Induced Resistance to Fusarium Wilt in Cucumber. Phytopathology 2020, 110, 999–1009. [Google Scholar] [CrossRef] [PubMed]
  44. Sevanto, S.; McDowell, N.G.; Dickman, L.T.; Pangle, R.; Pockman, W.T. How do trees die? A test of the hydraulic failure and carbon starvation hypotheses. Plant Cell Environ. 2014, 37, 153–161. [Google Scholar] [CrossRef] [PubMed]
  45. Kretschmer, M.; Croll, D.; Kronstad, J.W. Maize susceptibility to Ustilago maydis is influenced by genetic and chemical perturbation of carbohydrate allocation. Mol. Plant Pathol. 2017, 18, 1222–1237. [Google Scholar] [CrossRef] [PubMed]
  46. Rekhter, D.; Ding, Y.; Lüdke, D.; Feussner, K.; Wiermer, M.; Zhang, Y.; Feussner, I. From isochorismate to salicylate: A new reaction mechanism for salicylic acid biosynthesis. bioRxiv 2019, 1, 600–692. [Google Scholar]
  47. Lin, R.; Zhao, W.; Meng, X.; Wang, M.; Peng, Y. Rice gene OsNAC19 encodes a novel NAC-domain transcription factor and responds to infection by Magnaporthe grisea. Plant Sci. 2007, 172, 120–130. [Google Scholar] [CrossRef]
  48. Jensen, M.K.; Hagedorn, P.H.; de Torres-Zabala, M.; Grant, M.R.; Rung, J.H.; Collinge, D.B.; Lyngkjaer, M.F. Transcriptional regulation by an NAC (NAM-ATAF1,2-CUC2) transcription factor attenuates ABA signalling for efficient basal defence towards Blumeria graminis f. sp. hordei in Arabidopsis. Plant J. 2008, 56, 867–880. [Google Scholar] [PubMed]
  49. Bu, Q.; Jiang, H.; Li, C.B.; Zhai, Q.; Zhang, J.; Wu, X.; Sun, J.; Xie, Q.; Li, C. Role of the Arabidopsis thaliana NAC transcription factors ANAC019 and ANAC055 in regulating jasmonic acid-signaled defense responses. Cell Res. 2008, 18, 756–767. [Google Scholar] [CrossRef]
  50. Wang, J.; Zheng, C.; Shao, X.; Hu, Z.; Li, J.; Wang, P.; Wang, A.; Yu, J.; Shi, K. Transcriptomic and genetic approaches reveal an essential role of the NAC transcription factor SlNAP1 in the growth and defense response of tomato. Hortic. Res. 2020, 7, 209. [Google Scholar] [CrossRef]
  51. Akram, W.; Anjum, T.; Ahmad, A. Basal susceptibility of tomato varieties against different isolates of Fusarium oxysporum f. sp. Lysopersici. Int. J. Agric. Biol. 2014, 16, 171–176. [Google Scholar]
  52. Cachinero, J.M.; Hervás, A.; Jiménez-Díaz, R.M.; Tena, M. Plant defence reactions against fusarium wilt in chickpea induced by incompatible race 0 of Fusarium oxysporum f. sp. ciceris and nonhost isolates of F. oxysporum. Plant Pathol. 2002, 51, 765–776. [Google Scholar]
  53. Zhang, R.H.; Li, J.; Guo, S.R.; Tezuka, T. Effects of exogenous putrescine on gas-exchange characteristics and chlorophyll fluorescence of NaCl-stressed cucumber seedlings. Photosynth. Res. 2009, 100, 155–162. [Google Scholar] [CrossRef] [PubMed]
  54. Livak, K.J.; Schmittgen, T. Analysis of relative gene expression data using real-time quantitative PCR and the 2-DDCt method. Methods 2001, 25, 402–408. [Google Scholar] [CrossRef] [PubMed]
  55. Ewing, B.; Green, P. Base-Calling of Automated Sequencer Traces Using Phred. II. Error Probabilities. Genome Res. 1998, 8, 186–194. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  56. Kim, D.; Langmead, B.; Salzberg, S.L. HISAT: A fast spliced aligner with low memory requirements. Nat. Methods 2015, 12, 357–360. [Google Scholar] [CrossRef]
  57. Love, M.I.; Huber, W.; Anders, S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 2014, 15, 550. [Google Scholar] [CrossRef] [PubMed]
  58. Young, M.D.; Wakefield, M.J.; Smyth, G.K.; Oshlack, A. Gene ontology analysis for RNA-seq: Accounting for selection bias. Genome Biol. 2010, 11, R14. [Google Scholar] [CrossRef]
  59. Chen, X.; Mao, X.; Huang, J.; Yang, D.; Wu, J.; Dong, S.; Lei, K.; Ge, G.; Li, C.Y.; Wei, L. KOBAS 2.0: A web server for annotation and identification of enriched pathways and diseases. Nucleic Acids Res. 2011, 39, W316–W322. [Google Scholar]
  60. Liu, H.; Ding, Y.D.; Zhou, Y.Q.; Jin, W.Q.; Xie, K.B.; Chen, L.L. CRISPR-P 2.0: An Improved CRISPR-Cas9 Tool forGenome Editing in Plants. Mol. Plant 2017, 10, 530–532. [Google Scholar] [CrossRef]
  61. Cruz-Mendívil, A.; Rivera-López, J.; Germán-Báez, L.J.; López-Meyer, M.; Hernández-Verdugo, S.; López-Valenzuela, J.A.; Reyes-Moreno, C.; Valdez-Ortiz, A. A Simple and Efficient Protocol for Plant Regeneration and Genetic Transformation of Tomato cv. Micro-Tom from Leaf Explants. Hort. Sci. 2011, 46, 1655–1660. [Google Scholar] [CrossRef] [Green Version]
Ijms 23 10907 g001 550
Figure 1. Effect of P. polymyxa NSY50 on phenotype of AC seedlings infected with Fol. (A) Plant phenotypic symptoms on the 23rd day after Fol inoculation; (B) root tissue of tomato plants on 23 dpi of different treatment; (C) longitudinal section of tomato plant stem.
Figure 1. Effect of P. polymyxa NSY50 on phenotype of AC seedlings infected with Fol. (A) Plant phenotypic symptoms on the 23rd day after Fol inoculation; (B) root tissue of tomato plants on 23 dpi of different treatment; (C) longitudinal section of tomato plant stem.
Ijms 23 10907 g001
Ijms 23 10907 g002 550
Figure 2. Photosynthetic parameters of tomato plants under different treatments. Different letters (a, b, c, and d) indicate statistically significant differences at p = 0.05 level.
Figure 2. Photosynthetic parameters of tomato plants under different treatments. Different letters (a, b, c, and d) indicate statistically significant differences at p = 0.05 level.
Ijms 23 10907 g002
Ijms 23 10907 g003 550
Figure 3. Effects of NSY50 on the relative transcript levels of 12 genes in tomato. Different letters (a, b, and c) indicate statistically significant differences at p = 0.05 level.
Figure 3. Effects of NSY50 on the relative transcript levels of 12 genes in tomato. Different letters (a, b, and c) indicate statistically significant differences at p = 0.05 level.
Ijms 23 10907 g003
Ijms 23 10907 g004 550
Figure 4. SlNAP1 and SlNAP2 were strongly induced by Fol. (A) Heatmap of 33 differentially expressed NAC transcription factors; (B) relative expression levels of SlNAP1 and SlNAP2 under different treatments. Different letters (a, b, and c) indicate statistically significant differences at p = 0.05 level.
Figure 4. SlNAP1 and SlNAP2 were strongly induced by Fol. (A) Heatmap of 33 differentially expressed NAC transcription factors; (B) relative expression levels of SlNAP1 and SlNAP2 under different treatments. Different letters (a, b, and c) indicate statistically significant differences at p = 0.05 level.
Ijms 23 10907 g004
Ijms 23 10907 g005 550
Figure 5. Effects of SlNAP1 overexpression on Fusarium wilt resistance after Fol inoculation. (A–D) Phenotypic symptoms (plant height, stem diameter, fresh weight and dry weight) of plants at 21dpi after Fol inoculation; (E) photosynthetic parameters of overexpressed plants; (F) transcript abundance of SlNAP1 gene in transgenic plants; (G,H) plant phenotype and stem cross section at 21 dpi. Different letters (a, b, c, d, and e) indicate statistically significant differences at p = 0.05 level.
Figure 5. Effects of SlNAP1 overexpression on Fusarium wilt resistance after Fol inoculation. (A–D) Phenotypic symptoms (plant height, stem diameter, fresh weight and dry weight) of plants at 21dpi after Fol inoculation; (E) photosynthetic parameters of overexpressed plants; (F) transcript abundance of SlNAP1 gene in transgenic plants; (G,H) plant phenotype and stem cross section at 21 dpi. Different letters (a, b, c, d, and e) indicate statistically significant differences at p = 0.05 level.
Ijms 23 10907 g005
Table
Table 1. Effects of P. polymyxa stain NSY50 on the growth, chlorophyll content and DI of tomato AC seedlings under Fol stress.
Table 1. Effects of P. polymyxa stain NSY50 on the growth, chlorophyll content and DI of tomato AC seedlings under Fol stress.
TreatmentGrowth ParametersChlorophyll Content/SPADDI/%
Plant Height/cmFresh Weight/gDry Weight/gRoot Volume/cm3
Control19.72 ± 0.21 a24.42 ± 1.03 a2.32 ± 0.12 a13.77 ± 1.05 a50.30 ± 0.52 a0.00
NSY5020.38 ± 0.26 a25.36 ± 1.18 a2.43 ± 0.15 a13.97 ± 1.39 a51.80 ± 0.31 a0.00
FOL6.47 ± 0.46 c4.75 ± 0.19 c0.40 ± 0.04 c1.30 ± 0.20 c22.07 ± 0.88 c54.17 ± 1.80 a
NSY50 + FOL11.41 ± 0.33 b9.05 ± 0.65 b0.99 ± 0.06 b5.29 ± 0.32 b39.33 ± 0.64 b25.83 ± 2.20 b
Note: values are means of replicates ± SE; different letters indicate statistically significant differences at p = 0.05 level.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Du, N.; Guo, H.; Fu, R.; Dong, X.; Xue, D.; Piao, F. Comparative Transcriptome Analysis and Genetic Methods Revealed the Biocontrol Mechanism of Paenibacilluspolymyxa NSY50 against Tomato Fusarium Wilt. Int. J. Mol. Sci. 2022, 23, 10907. https://doi.org/10.3390/ijms231810907

AMA Style

Du N, Guo H, Fu R, Dong X, Xue D, Piao F. Comparative Transcriptome Analysis and Genetic Methods Revealed the Biocontrol Mechanism of Paenibacilluspolymyxa NSY50 against Tomato Fusarium Wilt. International Journal of Molecular Sciences. 2022; 23(18):10907. https://doi.org/10.3390/ijms231810907

Chicago/Turabian Style

Du, Nanshan, Hui Guo, Ruike Fu, Xiaoxing Dong, Dongqi Xue, and Fengzhi Piao. 2022. "Comparative Transcriptome Analysis and Genetic Methods Revealed the Biocontrol Mechanism of Paenibacilluspolymyxa NSY50 against Tomato Fusarium Wilt" International Journal of Molecular Sciences 23, no. 18: 10907. https://doi.org/10.3390/ijms231810907

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop