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Article

Antagonistic Potential of Novel Endophytic Bacillus Strains and Mediation of Plant Defense against Verticillium Wilt in Upland Cotton

1
State Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Agriculture, Nanjing Agricultural University, Nanjing 210095, China
2
Department of Plant Pathology, University of Agriculture, Faisalabad 38040, Pakistan
*
Author to whom correspondence should be addressed.
Plants 2020, 9(11), 1438; https://doi.org/10.3390/plants9111438
Submission received: 23 September 2020 / Revised: 19 October 2020 / Accepted: 19 October 2020 / Published: 25 October 2020
(This article belongs to the Special Issue Biological Control of Plant Diseases)

Abstract

:
Verticillium wilt caused by Verticillium dahliae is a threatening disease of cotton, causing economic loss worldwide. In this study, nine endophytic Bacillus strains isolated from cotton roots exhibited inhibitory activity against V. dahliae strain VD-080 in a dual culture assay. B. altitudinis HNH7 and B. velezensis HNH9 were chosen for further experiments based on their high antagonistic activity. The secondary metabolites of HNH7 and HNH9 also inhibited the growth of VD-080. Genetic marker-assisted detection revealed the presence of bacillibactin, surfactin, bacillomycin and fengycin encoding genes in the genome of HNH7 and HNH9 and their corresponding gene products were validated through LC-MS. Scanning electron microscopy revealed mycelial disintegration, curling and shrinkage of VD-080 hyphae after treatment with methanolic extracts of the isolated endophytes. Furthermore, a significant reduction in verticillium wilt severity was noticed in cotton plants treated with HNH7 and HNH9 as compared to control treatments. Moreover, the expression of defense-linked genes, viz., MPK3, GST, SOD, PAL, PPO and HMGR, was considerably higher in plants treated with endophytic Bacillus strains and inoculated with VD-080 as compared to control.

Graphical Abstract

1. Introduction

Cotton is an important cash crop worldwide, but the crop is vulnerable to the attack of Verticillium dahliae, affecting the quality and quantity of the produce. V. dahliae associated with verticillium wilt is considered as the most destructive pathogen of cotton, causing a loss of 2.5 million hectares annually in China [1,2]. Although a few tolerant cotton varieties are available, they do not possess sufficient ability to protect the crop from economic damage. Some chemicals, such as fungicide benomyl and the plant defense activator acibenzolar-S-methyl, seem to be effective but they are not environmentally friendly [3]. The biological control using beneficial bacteria is a safer and better approach to protect the crop from economic yield loss.
The rhizosphere contains a variety of microbial communities which can protect plants through the suppression of soil-borne pathogens. Among these microbes, endophytic bacteria reside inside the plant and colonize an ecological niche like phytopathogens and can effectively be used to suppress the attack of various phytopathogens. Therefore, these endophytic bacteria are strong candidates for the biological control of many plant diseases [4,5,6,7,8,9]. Bacillus species such as B. amyloliquefaciens, B. velezensis, B. subtilis and B. altitudinis have been widely employed for their antagonistic effects against foliar, soil-borne and post-harvest fungal diseases [5,10,11,12].
Bacillus species can produce several antimicrobial compounds [13], such as lipopeptides (fengycin, surfactin, bacillomycin D and iturin) [14,15,16], siderophores (bacillibactin) and polyketides (bacillaene) [17]. The identification of these secondary metabolites and their corresponding antimicrobial activity is necessary to determine the biological control activity of Bacillus species. DNA-based genetic markers have been used to detect the presence of antimicrobial compound encoding genes that can be specifically detected through PCR amplifications [15]. Activation of induced systemic resistance (ISR) is associated with defense-linked gene expression and plants respond more rapidly against pathogen attack [9]. ISR induction triggers transcriptional regulation of plant defense genes in crop plants that in turn prevents the proliferation of plant pathogens [18,19]. Many members of Bacillus spp. act as plant safeguards against phytopathogens through the induction of systemic resistance and subsequent upregulation of the plant defense-linked genes [7,9,20,21].
The purpose of this study was to identify antifungal genes in the genome of the bacterial strains isolated from cotton roots and mycelial deformities in VD-080 induced by the bacterial extracts and to understand the key role of the bacterial strains in the suppression of V. dahliae plus elicitation of defense response of cotton plants against the pathogen through modulation of defense-linked genes, viz., HMGR, MPK3, GST, PAL, PPO and SOD.

2. Results

2.1. Identification and Phylogenetic Analysis of Bacterial Endophytes

The endophytic bacterial strains isolated from cotton roots were identified through PCR analysis and subsequent 16S rDNA gene sequencing. The results indicated that HNH2, HNH3 and HNH6 had 99.86%, 99.80% and 99.86% resemblance to B. subtilis. The isolates HNH4 and HNH8 showed 99.93% and 99.86% sequence homology to B. amyloliquefaciens. Moreover, HNH1, HNH5, HNH7 and HNH9 were 99.80%, 99.92%, 100% and 100% identical to B. aryabhattai, B. pumilus, B.altitudinis and B. velezensis, respectively. A neighbor joining phylogenetic tree constructed based on the 16S rDNA gene sequence indicated that these bacterial endophytes fall into six different clusters of B. amyloliquefaciens, B. subtilis, B. velezensis, B. pumilis, B. altitudinis and B. aryabhattai (Figure 1). The results indicated that many kinds of Bacillius strains colonized in the roots of upland cotton plants.

2.2. Antagonistic Activity of the Bacterial Isolates against VD-080

Nine bacterial endophytes isolated from cotton roots were evaluated for their antagonistic activity against VD-080 in a dual culture assay. Results showed that all the isolated endophytic Bacillus strains were able to inhibit the growth of VD-080, but B. altitudinis HNH7 and B. velezensis HNH9 showed the highest inhibition of fungal growth. The diameter of inhibition zones was 10.5 and 9.3 mm for HNH7 and HNH9, respectively (Table 1). The results showed that the nine endophytic Bacillius strains could devour V. dahliae (VD-080), with variable antagonistic effects (Figure 2).

2.3. Interaction of Extracted Lipopeptides (LPs) with VD-080

Methanolic extracts (LPs) of bacterial strains performing best in dual culture assay were evaluated for their antifungal activity against VD-080. Results demonstrated that the methanolic extracts of both endophytic strains HNH7 and HNH9 significantly inhibited the hyphal growth of VD-080 compared to control. The growth restriction of the pathogenic fungi around the holes containing crude extracts of bacterial LPs can be observed easily, while the holes of only methanol in the control plate are fully covered by the fungal mycelium (Figure 3).

2.4. PCR-Based Detection of LPs Encoded Genes

The genes encoding specific antimicrobial compounds, viz., surfactin (SfB), iturin (ItuB), bacillomycin (BmyB), bacillibactin (Bac) and fengycin (FenD), were amplified through PCR using gene-specific molecular markers (Figure 4). The results of PCR amplification revealed that both HNH7 and HNH9 possessed surfactin, bacillomycin, bacillibactin and fengycin encoding genes simultaneously. However, the iturin encoding gene ItuB was not detected in both bacterial strains. Bacillibactin encoding gene yielded a band of 595 bp, while Bacillomycin, surfactin and fengycin yielded bands between 230 and 400 bp.

2.5. LC-MS Analysis of Antimicrobial Compounds

The results of PCR amplification of antimicrobial genes were further validated through LC-MS analysis. The LC-MS results confirmed that both bacterial strains were able to produce corresponding products of the antimicrobial genes identified based on their mass to charge ratio (m/z). The peaks for fengycin were detected in B. altitudinis HNH7 at 1491.83 and 1477.80 m/z (Figure 5); however, it was detected at 1463.81 and 1449.78 m/z in the case of B. velezensis HNH9 (Figure 6). Bacillibactin was observed at 883.26 m/z in both the endophytes. Surfactin was detected at 1008.66 and 1038.69 m/z in both the endophytes. Further, Bacillomycin was detected at 1045.56 and 1031.54 m/z in HNH7 and HNH9, respectively. These detected antimicrobial substances explain a clear signal of the endophytes being antagonistic to VD-080.

2.6. Hyphal Anomalies in VD-080 by Methanolic Extracts of Endophytic Bacillus Strains

The structural deformities in VD-080 hyphae caused by the antimicrobial compounds produced by both endophytic Bacillus strains were studied under scanning electron microscope (Figure 7). The hyphae treated with methanolic extracts of HNH7 and HNH9 strains showed pore formation, breakdown of hyphae, curling, shirking and removal of cytoplasmic content from the hyphae. Meanwhile, the hyphae in the control treatment were long, cylindrical and healthy with no structural abnormalities. The results indicated that the LPs of the Bacillius strains could damage the cell structure of VD-080.

2.7. Biocontrol Effects of the Isolates on Cotton Verticillium Wilt

The ability of endophytic bacterial strains to inhibit verticillium wilt disease in cotton plants was evaluated in a greenhouse experiment. Disease severity was recorded 30 days post-inoculation by observing vascular browning. The highest disease severity (83.33%) was observed in the treatment which was inoculated with VD-080 only. Furthermore, there was a significant reduction in disease severity in treatments which were administered with endophytic bacterial strains HNH7 and HNH9 and challenged with VD-080 compared to the treatments inoculated with VD-080 only. HNH7 showed higher reduction of disease than HNH9 as the disease severity recorded was 36.55% by HNH7 and 42.08% by HNH9 compared to control (Figure 8).

2.8. Expression Profiling of Plant Defense-Linked Genes

The expression profiling of six defense-linked genes, viz., MPK3, GST, SOD, PAL, PPO and HMGR, in cotton plants was studied through qRT-PCR. According to the results, both bacterial endophytes elicited the defense response in cotton plants as the expression of defense-linked genes in plants treated with bacterial endophytes was significantly higher compared to the plants inoculated with water only. Interestingly, the expression of defense-linked genes was much higher in plants treated with bacterial antagonists and challenged with VD-080 also. However, the expression of genes was higher in the plants treated with endophytic bacterial strains HNH7 compared to HNH9. The highest expression was recorded in the case of PAL and PPO encoding genes. Moreover, the expression of all defense-linked genes was found to be downregulated in the plants challenged with the pathogen only (Figure 9).

3. Discussion

The plants endophytes of Pseudomonas, Serratia and Bacillus spp. have been analyzed as efficient biocontrol agents against verticillium wilt both in vitro and in vivo [7,22]. The plant root colonized bacteria apply different built-in tools to initiate defense mechanisms which progressively devour the pathogenic fungi. The potential of plant growth promoting rhizobacteria (PGPRs) to produce hydrolytic enzymes, siderophores, a range of different antibiotics, aggressive colonization and induced systemic resistance, which are the basic mechanisms to prevent the proliferation of plant pathogens [23]. However, endophyte-allied antibiotics and ISR have positive effects on competitive interactions with plants and the plant pathogens which inhibit the synthesis of pathogen cell walls and cell membrane structures and disrupt ribosomal subunits [24]. The bacterial strains 41B-1 and SQR9 have shown significant biocontrol activity against V. dahliae in greenhouse and field trials [7,25].
In this study, we characterized nine endophytic Bacillus strains isolated from cotton roots. These endophytic strains include B. amyloliquefaciens, B. subtilis, B. velezensis, B. pumilis, B. altitudinis and B. aryabhattai. All these strains show variable antagonistic effects to VD-080. Two of the endophytes, B. altitudinis (HNH7) and B. velezensis (HNH9), exhibited high biocontrol efficacy. The composition of endophytic strains which have antifungal effects on V. dahliae may be related to bacterial antibiotics and induce resistance in cotton cultivars against verticillium wilt. Endophytic bacteria have shown antagonistic activity against several phytopathogens such as Fusarium oxysporum f. sp. cucumerinum, Rhizoctonia solani, F. oxysporum f. sp. niveum, F. oxysporum f. sp. cubense and V. dahliae [22,26,27].
Bacillus species can produce several antibiotics such as surfactin, fengycin, bacilysin, bacillibactin, bacillomycin and iturin [28,29]. The antimicrobial compounds produced by Bacillus species either directly hamper the growth of the pathogen or induce systemic resistance in plants [19,30]. The isolates HNH7 and HNH9 were found to possess bacillibactin, bacillomycin, surfactin, and fengycin encoding genes, while both were lacking in iturin producing genes. One siderophore producing (bacillibactin), two antifungal (bacillomycin and fengycin) and one multifunctional (antifungal plus antibacterial) metabolite (surfactin) encoding genes were successfully detected in the genome of HNH7 and HNH9. Fengycin, surfactin, bacillibactin and bacillomycin have been reported previously to exhibit antagonistic activity against fungal pathogens including V. dahliae [7], which is consistent with our LC-MS results, where the antifungal substances were detected through LC-MS at their specific m/z values (fengycin at m/z 1463.81, 1449.78, 1491.83, 1477.80; bacillibactin at 883.26; surfactin at 1036.69, 1008.66, 1068.72 and bacillomycin at 1031.54, 1045.56). Conclusively, the coproduction of these antimicrobial compound producing genes and gene products have a possible cumulative role in antagonism against V. dahliae (VD-080).
Microbial lipopeptides (LPs) can cause morphological and ultrastructural deformities in fungal hyphae such as pore formation, curling, plasmolysis or removal of cytoplasmic content and breakdown or disintegration of fungal hyphae [19,31,32,33]. Scanning electron microscopy (SEM) analysis has previously supported the hypothesis that the loss of turgidity and structural alterations in the cell wall of fungal hyphae is the core mechanism involved in the antifungal action of LPs [32,33]. In our study, the SEM analysis revealed disruption of V. dahliae (VD-080) hyphae when treated with the LPs of HNH7 and HNH9 compared to control treatment and these morphological changes in the hyphae explain the possible deleterious role of LPs produced by the two endophytes.
Bacillus spp. protect plants against phytopathogens through the induction of systemic resistance and subsequent upregulation of defense-linked genes [7,9,20,21]. Our study demonstrated that the disease severity on cotton plants treated with endophytes was significantly reduced compared to the infected control treatment, plus the expression of defense-linked genes HMGR, MPK3, GST, PAL, PPO and SOD was significantly upregulated in cotton plants treated with endophytes + VD-080, compared to the treatments inoculated with HNH7 and HNH9. Interestingly, the activities of defense-linked genes were higher in HNH-7 and HNH-9 treated plants compared to controls, indicating that the endophytes were responsible for defense elicitation in cotton plants. Our results are in conformation with the findings of Chandrasekaran and Chun [34], where the expression of defense-linked genes SOD, CAT, POD, PPO, PAL and β-1,3-glucanase was significantly increased in Bacillus subtilis + pathogen-treated tomato plants. SOD is responsible for H2O2 accumulation in plants. According to several previous studies, H2O2 has a significant role in disease resistance against pathogens [35,36]. It can be concluded that SOD expression induced by endophytes provided protection against VD-080. PAL contributes to the oxidation of phenolic compounds and defense stimulation against the pathogens [35]. In addition to SOD and PAL, the activity of PPO was also upregulated in our study. According to Li and Steffens [37], the overexpression of PPO in the plants leads to enhanced resistance against the disease.
The high expression of MPK3, HMGR and GST genes in the present study indicated their possible role in defense elicitation. These genes and their corresponding products play several important roles in the plant defense system. Mitogen-activated protein kinases (MPK) are a cascade of signaling molecules that play an important role in signal transduction to activate plant defense against the pathogens [38,39]. According to a previous study, the enhanced expression of MPK3 gene has been involved in providing basal resistance against Botrytis cinerea [40]. Glutathione S-transferase (GST) is an enzyme with detoxifying properties that is responsible for stress modulation in plants and provides increased resistance against several biotic and abiotic stresses [41,42]. HMG-CoA reductase (3-hydroxy-3-methyl-glutaryl-coenzyme A reductase) HMGR is an enzyme that catalyzes the first step in the mevalonate (MVA) pathway responsible for the formation of isoprenoid [43,44]. Isoprenoids are significant in the elicitation of plant defense against biotic and abiotic stresses.
Based on the present study and previous reports, we suggest that the enhanced expression of defense-related genes is responsible for the strong biological control activity of HNH-7 and HNH-9 and plays a vital role in plant defense against Verticillium dahliae.

4. Materials and Methods

4.1. Isolation of Endophytic Bacterial Isolates

Endophytic Bacillus strains were isolated from cotton roots following the procedure given by Khan et al. [45]. Briefly, cotton roots of cultivar “Jimian 11”, grown at Liuhe Experimental Station, Nanjing, Jiangsu Province, were washed with tap water, excised into small pieces of 5 mm, surface sterilized with 2.5% sodium hypochlorite (NaClO) for 10 min and then rinsed four times with double distilled sterile water to remove the contaminants. Afterwards, the root was ground in 1 mL of double distilled water using mortar and pestle. Post-grinding, an aliquot of 200 µL was spread onto LB agar plate and incubated at 37 ± 2 °C for 12 h. Post-incubation, the bacterial colonies were observed and the colonies differing in size and shape were selected, picked and cultured in LB medium.

4.2. 16S rDNA Identification

The endophytic bacterial isolates were characterized by sequencing the 16S rDNA gene [46]. DNA of endophytic isolates was extracted by using DNA extraction kit (Omega Bio-tek, Norcross, GA, USA). The concentration and purity of extracted DNA was recorded on NanoDrop 1000 (Thermo Scientific, Wilmington, DE, USA). The 16s rDNA primers forward 531F (5′-TGGAGAGTTTGATCCTGGCTCAG-3′) and reverse 531R (5′-TACCGCGGCTGCTGGCAC-3′) were used for amplification of the 16S rDNA gene in bacterial endophytes. PCR amplification was processed using 2× Rapid Taq Master Mix (Vazyme Biotech Co.,Ltd, Nanjing, China). The reaction conditions were as follows: initial denaturation at 95 °C for 5 min, followed by 32 cycles of denaturation at 95 °C for 15 sec, annealing at varied temperatures according to the set of primers, elongation at 72 °C for 15 sec and, finally, a cycle of final extension for 5 min at 72 °C. Additionally, a blank (CK) containing sterilized distilled water rather than genomic DNA was also included in the PCR reaction. The amplified product (5 µL) was visualized on 1% agarose gel stained with ethidium bromide and remaining product was sequenced using the Sanger dideoxy sequencing method (Genscript Co. Ltd. Nanjing, Jiangsu, China). The obtained sequences were compared with the previously available sequences in the NCBI database and the phylogenetic relationship was studied [47]. The homologous sequences were analyzed using MEGA X software [48]. Multiple sequence alignments of the sequences were performed by ClustalW and a neighbor joining phylogenetic tree was constructed using bootstrap test (1000 replicates) and evolutionary distances were calculated using Tamura Nei model [49]. A gamma distribution (shape parameter = 5) model was used to determine the rate variation among sites with partial deletion of gaps and missing data.

4.3. Antagonistic Activity of Endophytes against V. dahliae (VD-080)

The endophytic bacterial isolates were evaluated for their inhibitory effect against VD-080 in a dual culture experiment [7]. The fungus was inoculated at the center of the Petri plate (9 cm) containing Potato dextrose agar medium (PDA) and incubated for 3 days at 27 ± 2 °C. Endophytic bacterial isolates (5 µL) from an overnight culture (OD600 = 2.5) were inoculated on two sides of the fungal colony 2.5 cm away from the center. The plates were then wrapped with a parafilm and incubated at 27 ± 2 °C for seven days and the zone of inhibition was measured. The experiment was repeated thrice with three replicates.

4.4. Antifungal Activity of Secondary Metabolites

The bacterial strains HNH7 and HNH9 were individually inoculated in Landy medium [50] from an overnight culture of each strain and incubated for 3 days at 30 °C and 180 rpm. Post-incubation, the cultures were centrifuged at 10,000 rpm and 4 °C for 15 min. The cell free supernatants were collected in new tubes and each supernatant was incubated at 4 °C for 12 h after adjusting pH to 2 by adding concentrated HCl. Afterwards, the precipitates were collected through centrifugation and dissolved in 5 mL of HPLC grade methanol [51]. The crude extract of bacterial secondary metabolites (pH 7.0) was passed through 0.22 µm syringe filter to remove impurities and used for the determination of antifungal activity against VD-080. Fungus was grown on PDA for two days and then 10 µL of bacterial crude extract was pipetted in two sides 2.5 cm away from the fungus. In control treatment, methanol was used instead of crude extract.

4.5. Identification of Antifungal Genes Using Molecular Markers

Molecular markers reported by Farzand et al. [15] were used for amplification of genes, viz., iturin, bacillomycin, surfactin, bacillibactin and fengycin, responsible for producing corresponding antimicrobial secondary metabolites (Table 2). These genes were amplified through PCR in a thermal cycler (Bio-Rad, Hercules, CA, USA).

4.6. LC-MS Analysis of Antimicrobial Compounds

The crude extract of bacterial endophytes was passed through a 0.22 µm syringe filter and used for the detection of antimicrobial compounds. A surveyor LC-MS-system G2 QTof-XS, a Waters (Santa Clara, CA, USA) was employed following the protocol described by Hajji et al. [52].

4.7. Scanning Electron Microscopy

Crude extract of endophytic bacterial isolates was evaluated for its ability to cause structural deformities in fungal mycelium through scanning electron microscope following the protocol of Gu et al. [53]. V. dahliae (VD-080) was cultured for 3 days at 25 °C and 50 rpm in potato dextrose broth. Afterward, the hyphae were harvested in 2 mL Eppendorf tube and treated with crude methanolic extract (50 µg/mL) of HNH7 and HNH9 for 12 h at 27 ± 2 °C and 180 rpm. Hyphae in the control treatment were treated with HPLC grade methanol only. Furthermore, the Eppendorf tubes were centrifuged, and the hyphae were washed three times with 1× PBS buffer. Finally, the hyphae were preserved in 2.5% (v/v) glutaraldehyde solution. Structural abnormalities of VD-080 were observed through scanning electron microscope [31].

4.8. Biocontrol Effects of Endophytes in Greenhouse Experiment

The seeds of susceptible cotton cultivar cv. “Jimian11” were surface disinfected with 1.5% NaOCl solution for 3 min and sown in a mixture of soil containing sterilized peat and vermiculite 1:1 (v/v). The experiment comprised six treatments: (1) VD-080 only, (2) co-inoculated with HNH7 + VD-080, (3) co-inoculated with HNH9 + VD-080, (4) CK (water only), (5) HNH7 only and (6) HNH9 only. Each treatment was replicated 3 times. The plants were treated with 20 mL bacterial cell suspension (OD600 = 2.5) (1 × 108 cfu/mL) at four-leaf stage following the method given by Idris et al. [54]. Furthermore, 24 h after treating the plants with bacterial cell suspension, the roots of plants in respective treatments were inoculated with VD-080 conidial suspension (1 × 107 cfu/mL). Thirty days post-inoculation, the disease severity in plants was recorded following the vascular browning scale given by Bawa et al. [55]. The disease severity index and biocontrol efficacy were calculated by cutting the basal stem vertically and vascular browning was recorded on a 0–4 scale, where 0 = no symptoms or no vascular browning; 1 = 1–25% vascular browning; 2 = 26–50% vascular browning; 3 = 51–75% vascular browning; 4 = more than 75% vascular browning, and calculated using the following formula. Disease severity index (DSI) = [(A × 0) + (B × 1) + (C × 2) + (D × 3) + (E × 4)]/M × 4, where A, B, C, D and E = number of plants with rating scales of 0, 1, 2, 3 and 4, respectively, while M = total number of plants in the treatment observed.

4.9. Expression Analysis of Defense-Linked Genes in Cotton Plants through qRT-PCR

The expression of defense-linked genes in cotton plants (Table 3) was studied through qRT-PCR. Cotton leaves from each treatment were used to extract total RNA using total plant RNA extraction kit (Omega Bio-Tek, Norcross, GA, USA). NanoDrop 1000 (Thermo Scientific, Wilmington, DE, USA) was employed to measure the concentration and purity of extracted RNA. First-strand cDNA was synthesized using Evo M-MLV reverse transcriptase (Accurate Biology, Hunan, China). The expression of defense-linked genes, viz., HMGR, MPK3, GST, PAL, PPO and SOD, was studied using the SYBR Green Premix Taq HS qPCR kit (Accurate Biology, Hunan, China) in qRT-PCR (QuantStudio-6, California, USA). Sequences of defense-linked genes were obtained from NCBI [56].. The expression of genes was normalized by using actin as a housekeeping gene. Final expression of the target genes was quantified in three repeats using 2−ΔΔCt method derived from Livak and Schmittgen [57].

4.10. Statistical Analysis

All the experiments were carried out in a completely randomized design (CRD) and repeated thrice. Data were subjected to one-way ANOVA using SPSS software. The treatment means were compared and separated using LSD test at p ≤ 0.05.

5. Conclusions

Conclusively, the cotton endophytes B. altitudinis and B. velezensis (HNH7 and HNH9) possessed the powerful capabilities to synthesize different kinds of antimicrobial metabolites and elicitation of ISR to show strong antagonistic activities against Verticillium dahliae. Moreover, transcriptional profiling of defense-linked genes, viz., HMGR, MPK3, GST, PAL, PPO and SOD, through RT-qPCR showed induction of the plant defense mechanism. These results indicated that interactions between HNH7 and HNH9 provide efficient antibiotic-mediated inhibition of the VD-080 pathogen. These strains can be used to formulate biopesticides in the future for controlling verticillium wilt disease.

Author Contributions

N.H. and T.C. designed the experimental plan, N.H. and A.F. performed most of the experiments, Z.H. and I.U.K. helped to prepare SEM samples, A.M. and A.F. helped in writing the manuscript and conducting the phylogenetic analysis, M.Z. helped in designing qPCR primers and also in conducting gene expression studies, Y.N. and S.Y. helped in isolating endophytic bacterial isolates from cotton roots. 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, grant # 31071459.

Acknowledgments

We thank members of Zhao’s group for technical assistance and helpful discussions.

Conflicts of Interest

The authors do not have any conflict of interest.

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Figure 1. Phylogenetic studies of endophytic Bacillus strains isolated from cotton roots. The optimal neighbor joining tree indicating that the bacterial endophytes fall into six different clusters. The numbers added with each branch indicate the species, where 1 = Plants 09 01438 i001 B. amyloliquefaciens, 2 = Plants 09 01438 i002 B. velezensis, 3 = Plants 09 01438 i003 B. subtilis, 4 = Plants 09 01438 i004 B. pumilus, 5 = Plants 09 01438 i005 B. altitudinis, 6 = Plants 09 01438 i006 B. aryabhattai.
Figure 1. Phylogenetic studies of endophytic Bacillus strains isolated from cotton roots. The optimal neighbor joining tree indicating that the bacterial endophytes fall into six different clusters. The numbers added with each branch indicate the species, where 1 = Plants 09 01438 i001 B. amyloliquefaciens, 2 = Plants 09 01438 i002 B. velezensis, 3 = Plants 09 01438 i003 B. subtilis, 4 = Plants 09 01438 i004 B. pumilus, 5 = Plants 09 01438 i005 B. altitudinis, 6 = Plants 09 01438 i006 B. aryabhattai.
Plants 09 01438 g001
Figure 2. Antagonistic effect of endophytic Bacillus strains against VD-080.
Figure 2. Antagonistic effect of endophytic Bacillus strains against VD-080.
Plants 09 01438 g002
Figure 3. Antifungal effect of crude extracts from endophytic Bacillus strains HNH7 and HNH9 against VD-080.
Figure 3. Antifungal effect of crude extracts from endophytic Bacillus strains HNH7 and HNH9 against VD-080.
Plants 09 01438 g003
Figure 4. Genetic marker-assisted detection of antimicrobial compounds synthetase genes in HNH7 and HNH9. Bac = Bacillibactin, BmyB = Bacillomycin, ItuB = Iturin, SfB = Surfactin and FenD = Fengycin. Ck = Control.
Figure 4. Genetic marker-assisted detection of antimicrobial compounds synthetase genes in HNH7 and HNH9. Bac = Bacillibactin, BmyB = Bacillomycin, ItuB = Iturin, SfB = Surfactin and FenD = Fengycin. Ck = Control.
Plants 09 01438 g004
Figure 5. LC-MS chromatogram of methanolic extracts of B. altitudinis HNH7. (A,B) = Fengycin; (C) = Bacillibactin; (D,E)= Surfactin and (F) = Bacillomycin.
Figure 5. LC-MS chromatogram of methanolic extracts of B. altitudinis HNH7. (A,B) = Fengycin; (C) = Bacillibactin; (D,E)= Surfactin and (F) = Bacillomycin.
Plants 09 01438 g005
Figure 6. LC-MS chromatogram of methanolic extracts of B. amyloliquefaciens HNH9. (A,B) = Fengycin, (C) = Bacillibactin, (D,E)= Surfactin and (F)= Bacillomycin.
Figure 6. LC-MS chromatogram of methanolic extracts of B. amyloliquefaciens HNH9. (A,B) = Fengycin, (C) = Bacillibactin, (D,E)= Surfactin and (F)= Bacillomycin.
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Figure 7. Ultrastructural changes induced by methanolic extracts of endophytic Bacillus strains HNH7 and HNH9; (A) = Control; (B) = HNH9 and (C) = HNH7.
Figure 7. Ultrastructural changes induced by methanolic extracts of endophytic Bacillus strains HNH7 and HNH9; (A) = Control; (B) = HNH9 and (C) = HNH7.
Plants 09 01438 g007
Figure 8. Greenhouse evaluation of disease incidence reduction by endophytic bacterial strains in cotton plants. A1 = VD-080 only, A1 = HNH7 + VD-080, A3 = HNH9 + VD-080, A4 = Ck (water only), A5 = HNH7 and A6 = HNH9. (A) = Infection progress in cotton stem, (B) = disease severity. → indicates the infected part of the plant. The disease severity index and biocontrol efficacy were recorded on a 0–4 scale, where 0 = no symptoms or no vascular browning; 1 = 1–25% vascular browning; 2 = 26–50% vascular browning; 3 = 51–75% vascular browning; 4 = more than 75%.The mean values were computed and LSD test at p ≤ 0.05 after one-way ANOVA was conducted. The error bars indicate the standard error ± SE of the mean values. Corresponding results of ANOVA, F = 97.9, p = 0.000. Letters (a–c) above the columns represent significant differences between treatment means at p ≤ 0.05.
Figure 8. Greenhouse evaluation of disease incidence reduction by endophytic bacterial strains in cotton plants. A1 = VD-080 only, A1 = HNH7 + VD-080, A3 = HNH9 + VD-080, A4 = Ck (water only), A5 = HNH7 and A6 = HNH9. (A) = Infection progress in cotton stem, (B) = disease severity. → indicates the infected part of the plant. The disease severity index and biocontrol efficacy were recorded on a 0–4 scale, where 0 = no symptoms or no vascular browning; 1 = 1–25% vascular browning; 2 = 26–50% vascular browning; 3 = 51–75% vascular browning; 4 = more than 75%.The mean values were computed and LSD test at p ≤ 0.05 after one-way ANOVA was conducted. The error bars indicate the standard error ± SE of the mean values. Corresponding results of ANOVA, F = 97.9, p = 0.000. Letters (a–c) above the columns represent significant differences between treatment means at p ≤ 0.05.
Plants 09 01438 g008
Figure 9. Expression profiling of 6 defense-linked genes in cotton was upregulated in treatments with the isolates. The mean values were computed and separated by LSD test at p ≤ 0.05 after one-way ANOVA. The error bars indicate the standard error ± SE of the mean values. Letters above the columns (a–e) represent significant differences between treatment means at p ≤ 0.05.
Figure 9. Expression profiling of 6 defense-linked genes in cotton was upregulated in treatments with the isolates. The mean values were computed and separated by LSD test at p ≤ 0.05 after one-way ANOVA. The error bars indicate the standard error ± SE of the mean values. Letters above the columns (a–e) represent significant differences between treatment means at p ≤ 0.05.
Plants 09 01438 g009
Table 1. Mycelial inhibition by endophytic Bacillus strains.
Table 1. Mycelial inhibition by endophytic Bacillus strains.
Endophytic Bacillus StrainsInhibition Zone (mm)
B. aryabhattai HNH17.1 ± 0.11 d
B. subtilis HNH27.0 ± 0.10 d
B. subtilis HNH37.7 ± 0.10 c
B. amyloliquefaciens HNH47.6 ± 0.06 c
B pumilus HNH55.0 ± 0.09 f
B. subtilis HNH66.9 ± 0.07 d
B. altitudinis HNH710.5 ± 0.07 a
B. amyloliquefaciens HNH85.9 ± 0.09 e
B. velezensis HNH99.3 ± 0.09 b
*CK0.0 ± 0.00 g
Each value represents a mean ± SE of three replicates. *CK = control. Corresponding results of ANOVA. F = 1161, p = 0.000, dF = 9. Values in the columns followed by the same letters (a–g) are not significantly different from each other according to LSD test (p ≤ 0.05).
Table 2. Genetic markers used for the detection of antifungal genes in genomes of the isolates.
Table 2. Genetic markers used for the detection of antifungal genes in genomes of the isolates.
ProductGeneTemp (°C)Primer SequencesSize (bp)Reference
BacillibectinBAC57.6ATCTTTATGGCGGCAGTC
ATACGGCTTACAGGCGAG
595[15]
BacillomycinBMYB55.3CGAAACGACGGTATGAAT
TCTGCCGTTCCTTATCTC
371[15]
IturinITUB55.1ATCACCGATTCGATTTCA
GCTCGCTCCATATTATTTC
708[15]
SurfactinSFB50.0TTCACACAATTAGAGCT
ATATGATGATTGCTCCAG
338[15]
FengycinFEND57.6TCAGCCGGTCTGTTGAAG
TCCTGCAGAAGGAGAAGT
231[15]
Table 3. Oligonucleotides used in this study for qRT-PCR analysis.
Table 3. Oligonucleotides used in this study for qRT-PCR analysis.
No.NameCodePrimers (5′ to 3′)
13-hydroxy-3-methylglutaryl-coenzyme A reductaseHMGR-FGTTACAACCGAGGAAGACGAG
HMGR-RCAATGGCAAACCCGATAACG
2Mitogen-activated protein kinase 3MPK3-FAAATACCCTAAGCCATCCACC
MPK3-RCCAACCCAATTCCCATTTGTG
3Glutathione-S-transferaseGST-FTCAGTGCTTTCCTACCCTTTG
GST-RATACCCAACAGAGCTAGCAAC
4Phenylalanine ammonia-lyasePAL-FATGTTTGCTCAGTTTTCGGAAC
PAL-RGGCACTTTGAACATGGTTGG
5Polyphenol oxidasePPO-FGAGTCAAGGTTCGTGATAGCC
PPO-RGGTGATGTTCTTTGTTTCGGC
6Superoxide dismutaseSOD-FCTGCCTCTGTCTCGATCATTG
SOD-RACCTTTCTGAATAGCCTCATGG
7ActinActin-FCGAGACATTGGGACAGGTATTG
Actin-RGAGATCACGACCAGCAAGG
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Hasan, N.; Farzand, A.; Heng, Z.; Khan, I.U.; Moosa, A.; Zubair, M.; Na, Y.; Ying, S.; Canming, T. Antagonistic Potential of Novel Endophytic Bacillus Strains and Mediation of Plant Defense against Verticillium Wilt in Upland Cotton. Plants 2020, 9, 1438. https://doi.org/10.3390/plants9111438

AMA Style

Hasan N, Farzand A, Heng Z, Khan IU, Moosa A, Zubair M, Na Y, Ying S, Canming T. Antagonistic Potential of Novel Endophytic Bacillus Strains and Mediation of Plant Defense against Verticillium Wilt in Upland Cotton. Plants. 2020; 9(11):1438. https://doi.org/10.3390/plants9111438

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Hasan, Nadeem, Ayaz Farzand, Zhou Heng, Irfan Ullah Khan, Anam Moosa, Muhammad Zubair, Yang Na, Sun Ying, and Tang Canming. 2020. "Antagonistic Potential of Novel Endophytic Bacillus Strains and Mediation of Plant Defense against Verticillium Wilt in Upland Cotton" Plants 9, no. 11: 1438. https://doi.org/10.3390/plants9111438

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