Next Article in Journal
Infantile Anemia and Iron Treatments Affect the Gut Microbiome of Young Rhesus Monkeys
Previous Article in Journal
The Role of Oral and Gut Microbiota in Bone Health: Insights from Bacterial Extracellular Vesicles
Previous Article in Special Issue
From Forest to Fork: Antioxidant and Antimicrobial Potential of Laetiporus sulphureus (Bull.) Murrill in Cooked Sausages
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Characterization of Two Potential Biocontrol Bacillus Strains Against Maize Stalk Rot

1
Key Laboratory of Sustainable Dryland Agriculture of Shanxi Province, Shanxi Agricultural University, Taiyuan 030031, China
2
College of Horticulture, Shanxi Agricultural University, Taiyuan 030031, China
3
College of Agriculture, Shanxi Agricultural University, Taiyuan 030031, China
*
Author to whom correspondence should be addressed.
Microorganisms 2025, 13(10), 2255; https://doi.org/10.3390/microorganisms13102255
Submission received: 2 September 2025 / Revised: 21 September 2025 / Accepted: 24 September 2025 / Published: 26 September 2025
(This article belongs to the Special Issue Microbial Biocontrol in the Agri-Food Industry, 2nd Edition)

Abstract

Maize stalk rot (MSR) is one of the most devastating fungal diseases affecting maize worldwide. In recent years, biological control agents have emerged as an environmentally friendly and highly attractive strategy for managing MSR. In this study, two Bacillus strains—B. subtilis KP3P9 and B. siamensis K13C—were shown to effectively inhibit the growth of the MSR pathogen Fusarium graminearum in vitro. Pot experiments showed that inoculation with KP3P9 significantly increased plant height, stem width, above-ground part fresh weight, and total plant fresh weight, whereas K13C significantly improved the stem width and under-ground part fresh weight of maize seedlings (p < 0.05), demonstrating their plant-growth-promoting potential. Moreover, both strains markedly reduced the disease severity indices (DSIs) of maize seedlings, indicating that they can enhance maize resistance to the pathogen. Whole-genome sequencing using Oxford Nanopore (ONT) and Illumina technologies showed that the complete genomes of KP3P9 and K13C contained biosynthetic gene clusters involved in the biosynthesis of antimicrobial secondary metabolites, including fengycin, bacillibactin, subtilin, pulcherriminic acid, subtilosin A, bacilysin, and others. Moreover, both strains exhibited strong antagonistic activity against F. solani (the causal pathogen of apple replant disease), as well as F. oxysporum f. sp. cubense race 1 (Foc1) and tropical race 4 (FocTR4) (pathogens responsible for banana wilt disease), with inhibition rates exceeding 70% in vitro. These results indicate that KP3P9 and K13C are promising biocontrol agents for MSR and other devastating Fusarium diseases.

1. Introduction

Maize (Zea mays L.), one of the three major food crops in the world, is important not only for human consumption but also for animal feeding and fuel production [1]. However, the worldwide maize industry is greatly threatened by maize stalk rot (MSR), resulting in significant reductions in yield, quality, and mechanical harvesting efficiency of maize [2,3]. In China, MSR causes ~10% annual yield loss on average, with losses surpassing 30% in some areas in certain years [4,5]. Fusarium graminearum and F. verticillioides are the dominant causal pathogens of MSR [6,7]. Other Fusarium spp., such as F. cf. longipes [8], F. moniliforme, F. temperatum, and F. subglutinans [9], have also been reported to be associated with this disease [10,11]. As Fusarium pathogens can produce mycotoxins that are harmful not only to livestock but also to humans, they also contribute to the mycotoxin contamination of maize [12]. MSR pathogens can infect maize throughout the entire growing season and can survive in soil for multiple years. Furthermore, the promotion of the ‘returning crop straw to the field’ policy has increased pathogen abundance in soil annually, intensifying the occurrence and severity of MSR [12].
In recent years, biocontrol agents have attracted great attention for their sustainable and environmentally friendly advantages [6,13]. Among the reported biocontrol agents, Bacillus strains are more prevalent and popular than other microorganisms, such as Pseudomonas and Streptomyces strains [14,15]. B. siamensis GL-02, isolated from rhizosphere soil affected by severe stalk rot, significantly inhibits the growth of F. graminearum [16]. B. siamensis M54, an intestinal bacterium isolated from Allomyrina dichotoma, promotes maize growth and reduces stalk lesions caused by F. graminearum infection in both seedlings and adult plants [1]. The soil-isolated B. velezensis B105-8 promotes maize growth and suppresses various MSR pathogens [17]. Additionally, other Bacillus strains, such as B. velezensis TSA32-1 [18] and B. methylotrophicus TA-1 [19], have also shown promise as effective biocontrol agents against MSR.
Although some progress has been made in mining biocontrol agents against MSR [16,17], they have not yet been widely applied in the field. Therefore, continued in-depth exploration of biocontrol agents for this disease is of great significance. In the study, we performed bacteria isolation experiments from apple rhizosphere soil and evaluated their antagonistic activity against the dominate MSR pathogen F. graminearum. Two strains, KP3P9 and K13C, demonstrated strong in vitro anti-fungal activity against F. graminearum. Molecular characterization identified KP3P9 as B. subtilis and K13C as B. siamensis. To explore their possible functional mechanisms, we assessed their physiological and biochemical characteristics, investigated the influences of their inoculation on maize seedling MSR resistance, and assembled their genomes. The results obtained in this study will be helpful to elucidate the antagonistic mechanism of Bacillus strains against MSR pathogens and can provide a basis for the future applications of KP3P9 and K13C in controlling MSR and other Fusarium diseases.

2. Materials and Methods

2.1. Plant and Fungal Materials

The seeds of the Zea mays cv. ‘Xinruipu 826’ used in this study were provided by the College of Agriculture, Shanxi Agricultural University. This cultivar was bred by Shanxi Agricultural University and is one of the leading maize cultivars in Shanxi Province, China. Its cultivation region includes the provinces of Heilongjiang, Liaoning, Jilin, Hebei, and Shanxi, the autonomous region of Inner Mongolia, and the municipality of Tianjin, covering approximately 190,000 ha. The F. graminearum, F. solani, F. oxysporum f. sp. cubense race 1 (Foc1), and F. oxysporum f. sp. cubense tropical race 4 (FocTR4) strains used in this study were previously isolated and purified by our lab, and the pathogenicity of these strains has been verified.

2.2. Isolation and In Vitro Antagonistic Activity of Bacterial Strains Against F. graminearum

Apple roots were gently removed from the soil, and loosely adhering soil was shaken off. Rhizosphere soil tightly attached to the root surface was then gently brushed off. Using a stepwise dilution-plating method, we isolated and purified bacteria from apple rhizosphere soil on lysogeny broth (LB) agar media (Ararat (Canton) Biotechnology Co., Ltd., Guangzhou, China). Subsequently, the isolated rhizosphere bacteria were subjected to antagonistic activity analysis against the MSR pathogen F. graminearum using dual-culture assays on potato dextrose agar (PDA)(Ararat (Canton) Biotechnology Co., Ltd., Guangzhou, China). Briefly, bacterial suspension was streaked in two parallel lines 2 cm away from the center of a 9 cm PDA plate on opposite sides. One day later, a 5 cm mycelial plug of F. graminearum was placed at the center of the PDA plate. After incubation at 28 °C in the dark for 7 d, two bacterial strains (KP3P9 and K13C) that can suppress fungal growth were selected for further analysis. To quantify their in vitro inhibition effects, the colony diameter of F. graminearum was measured daily. Plates inoculated with F. graminearum alone were used as controls. The inhibition rate was calculated using the following formula: Inhibition rate (%) = [(colony diameter of the control F. graminearum − colony diameter of KP3P9/K13C treated F. graminearum)/colony diameter of the control F. graminearum] × 100. Each strain was tested in six replicates.

2.3. Plant-Growth-Promoting Assays of KP3P9 and K13C on Maize Seedlings

Using the seed-soaking method, we evaluated the effects of KP3P9 and K13C on the growth of maize (cv. ‘Xinruipu 826’) seedlings. Single colonies of KP3P9 and K13C were separately inoculated into sterile LB and incubated at 37 °C with shaking at 200 rpm in a constant temperature shaking incubator (Shanghai Yiheng Scientific Instrument Co. Ltd., Shanghai, China) for 24 h. Cultures were adjusted to OD600 ≈ 1.0 using sterile LB and used as bacterial inoculum. ‘Xinruipu 826’ seeds were allocated to three groups (control (CK), KP3P9, and K13C; 80 seeds each). CK seeds were soaked in sterile LB for 1 h, whereas seeds of the KP3P9 and K13C groups were soaked for 1 h in corresponding bacterial inoculum. The seeds were then sown in plug trays (Suzhou Huanmei Horticulture Technilogy Co. Ltd., Suzhou, China) (8 cm diameter, 10 cm height) filled with substrates (with an organic matter content of ≥35% and a neutral pH) and grown in a 25 °C greenhouse under natural light conditions. The substrates used for maize cultivation were purchased from Shen County Luyuan Seedling Matrix Co., Ltd. (Liaocheng, China). Seedlings were watered with 1/2 Hoagland modified nutrient salts solution (Shanghai Zeye Biotechnology Co., Ltd., Shanghai, China) every two days.
Two weeks after sowing, plant height, stem diameter, above-ground part fresh weight, under-ground part fresh weight, and total plant fresh weight were measured. The plant height was measured using a ruler. The stem diameter was measured using a vernier caliper (Shanghai Measuring Tool and Cutting Tool Factory Co., Ltd., Shanghai, China). The fresh weights of above-ground and under-ground parts and the whole seedling were measured with an electronic balance (HAT-A+100, Huazhi (Fujian) Electronics Technology Co., Ltd., Putian, China). Root architecture was analyzed using a root phenotypic analysis system (ScanMaker i800 Plus GXY-A, Hangzhou, China) to obtain total root length, average root diameter, root volume, root surface area, root projected area, and root tip number. Each parameter was assessed using at least six maize seedlings from each group.

2.4. The Biocontrol Activity Analysis of KP3P9 and K13C Against MSR in Maize Seedlings

The effects of KP3P9 and K13C on the MSR resistance of ‘Xinruipu 826’ maize seedlings were also assessed. Seeds were soaked in either the KP3P9 or K13C bacterial suspension for 1 h, sown in plug trays (8 cm diameter, 10 cm height) containing substrates that had been fully drenched with the corresponding bacterial suspension (OD600 ≈ 1.0), and then cultivated in a 25 °C greenhouse under natural light conditions. Two weeks after sowing, each maize seedling was watered twice with F. graminearum conidial suspension (1 × 105 conidia mL−1, 4 mL per seedling). Two weeks post pathogen inoculation, the disease severity of each seedling was evaluated using the disease severity index (DSI) analysis. The DSI of maize seedlings from different groups were calculated using the following formula: DSI (%) = ∑(scale value × number of maize seedlings with each scale value)/(total number of maize seedlings) × 100 [20]. For each group, at least 24 maize seedlings were used.

2.5. Molecular Characterization of KP3P9 and K13C

The 16S rRNA genes of KP3P9 and K13C were amplified using the universal primer pair 27F/1492R. PCR was performed in a 25 µL reaction mixture containing 12.5 µL of 2× rTaq Mix, 1 µL of each primer (10 µM), 1 µL of genomic DNA template, and 9.5 µL of ddH2O. The amplification program was as follows: initial denaturation at 95 °C for 5 min; 32 cycles of 95 °C for 30 s, 51 °C for 30 s, and 72 °C for 1 min; and a final extension at 72 °C for 10 min. PCR products were purified and sequenced by Shanghai Sangon Biotech Co., Ltd. (Shanghai, China). The 16S rRNA gene sequences were deposited in GenBank under the accession IDs of PV759774 for KP3P9 and PV759773 for K13C. Then, the 16S rRNA sequences of KP3P9 and K13C were queried against the NCBI nucleotide database using Blastn. Their homologous 16S rRNA sequences were downloaded and used to construct a neighbor-joining tree using MEGA11 with default parameters.

2.6. Physiological and Biochemical Characterization of B. subtilis KP3P9 and B. siamensis K13C

According to the methods described by Dong and Cai [21], the amylase activity, urease activity, catalase activity, nitrate reduction ability, and H2S-producing ability of KP3P9 and K13C strains were examined. Moreover, the methyl red test and the Voges–Proskauer (VP) test were also performed on them [21].

2.7. Phosphate-Solubilizing and Potassium Release Capacity Analysis of KP3P9 and K13C

KP3P9 and K13C cultures were streaked onto LB agar plates and incubated at 37 °C in the dark for 16 h. Agar plugs (5 mm, fully covered by bacteria) were transferred to Pikovaskaia’s inorganic phosphorus medium (Ararat (Canton) Biotechnology Co., Ltd., Guangzhou, China), Monia’s organic phosphorus medium (Ararat (Canton) Biotechnology Co., Ltd., Guangzhou, China) and Aleksandrov’s medium (Ararat (Canton) Biotechnology Co., Ltd., Guangzhou, China) to determine the inorganic phosphate dissolution, organic phosphate dissolution, and potassium release activities of each of the two Bacillus strains [22,23].

2.8. Indole-3-Acetic Acid (IAA)-Producing Capacity Analysis of KP3P9 and K13C

Using the Salkowski colorimetric method [24], the IAA-producing capacity of KP3P9 and K13C was determined. Briefly, a bacterial colony was inoculated into LB medium (containing 200 mg/L l-tryptophan) and incubated at 37 °C with shaking at 180 r/min for 2 d. The culture was then centrifuged at 8000 r/min for 5 min to obtain the supernatant. Two milliliters of the supernatant were mixed with an equal volume of Salkowski reagent to initiate the color reaction, with LB medium (containing 200 mg/L l-tryptophan) and 50 mg/L IAA solution used as the negative and positive control, respectively.

2.9. Determinations of Cellulase, Protease, β-1,3-Glucanase and Siderophore-Producing Activities

KP3P9 and K13C bacterial plugs were inoculated onto Congo red cellulose medium (Ararat (Canton) Biotechnology Co., Ltd., Guangzhou, China), skim milk medium (Ararat (Canton) Biotechnology Co., Ltd., Guangzhou, China), and β-1,3-glucanase detection medium (Ararat (Canton) Biotechnology Co., Ltd., Guangzhou, China) to determine the ability of these strains to secrete cellulase [25], protease [26], and β-1,3-glucanase [27]. Siderophore-producing activity was evaluated on chrome azurol S (CAS) agar (Ararat (Canton) Biotechnology Co., Ltd., Guangzhou, China) [28].

2.10. Genome Sequencing and Assembly

Using the Ezup column bacteria genomic DNA purification kit (B518255-010, Sangon Biotech, Shanghai, China), high-quality KP3P9 and K13C genomic DNA were extracted. High-molecular-weight DNA fragments were size-selected using a BluePippin automated nucleic-acid collection system. Libraries were prepared with the SQK-LSK109 ligation sequencing kit (Oxford Nanopore Technologies, Oxford, UK)and sequenced on a PromethION 48 platform by Biomarker Technologies Co., Ltd. (Beijing, China). After removing adapter sequences, low-quality bases, and short reads (<2000 bp), the final clean reads were obtained. Initial assembly was conducted with Canu v1.5, followed by mapping of Illumina short reads to the draft assembly and polishing with Pilon v1.19. Contigs were aligned against the NCBI nucleotide (nt) database to assign chromosomal origin. Protein-coding genes, repetitive elements, tRNAs, and rRNAs/other ncRNAs were predicted using Prodigal v2.6.3, RepeatMasker v4.0.5, tRNAscan-SE v2.0, and Infernal v1.1.3 (Rfam), respectively. CRISPR (clustered regularly interspaced short palindromic repeats) arrays were identified using CRT v1.2, genomic islands using IslandPath-DIMOB v2.0, prophages using PhiSpy v2.3, and biosynthetic gene clusters (BGCs) using antiSMASH v5.0.0.

2.11. Antagonistic Activity of the Two Bacillus Strains Against Other Fusarium Pathogens

Dual-culture assays were performed to evaluate the antagonistic potential of strains KP3P9 and K13C against Fusarium solani (a pathogen associated with apple replant disease) and the banana wilt pathogens F. oxysporum f. sp. cubense race 1 (Foc1) and tropical race 4 (FocTR4) [4]. A 5 mm mycelial plug of each Fusarium isolate was placed at the center of a PDA plate that had been streaked with two parallel lines of KP3P9 or K13C suspension for 1 d. Plates were incubated at 28 °C in the dark for 7 d. Colony diameters were measured every day, and their inhibition rates against the three Fusarium isolates were calculated as described in Section 2.1.

2.12. Statistical Analysis

All data were presented as mean ± standard deviation (SD) of at least three biological replicates. Statistical analysis was performed using SPSS 27.0, with one-way ANOVA followed by Duncan’s multiple range test at a significance level of p < 0.05.

3. Results

3.1. Morphological, Physiological and Biochemical Characteristics of KP3P9 and K13C

Bacteria isolated from the apple rhizosphere soil were screened for antagonism against F. graminearum by dual-culture assay. Results showed that two bacterial strains, KP3P9 and K13C, strongly inhibited the growth of the pathogen causing MSR. On LB medium, colonies of both KP3P9 and K13C were light-yellow, moist, and smooth (Figure 1). The physiological and biochemical characteristics of the two strains were studied (Figure 1B–H). Results showed that both KP3P9 and K13C had the ability to produce amylase (Figure S1B), catalase (Figure 1D), and H2S (Figure 1F), and reduced nitrate (Figure 1E), but neither exhibited urease activity (Figure 1C). Moreover, both strains exhibited positive reactions in the V-P test (Figure 1G) and methyl red test (Figure 1H).

3.2. Antagonistic Activity of KP3P9 and K13C Against F. graminearum

We further systematically examined the inhibitory effects of KP3P9 and K13C on F. graminearum using dual-culture assays. Results showed that both of the strains markedly suppressed F. graminearum mycelial growth on PDA media (p < 0.05) (Figure 2A). After seven days of confrontation, the pathogen colonies were sparse and their radial expansion was significantly reduced (Figure 2B), yielding inhibition rates of 71.58% for KP3P9, and 73.4% for K13C (Figure 2C).

3.3. Effects of KP3P9 and K13C on the Growth of Maize Seedlings

The influences of KP3P9 and K13C inoculation on the growth of maize seedlings were studied (Figure 3A–C, Table 1). KP3P9 inoculation significantly increased the plant height, stem width, above-ground part fresh weight, and total plant fresh weight of maize seedlings (p < 0.05): 1.23-, 1.20-, 1.55- and 1.31-fold compared to the non-inoculated controls (CK), respectively. Although the under-ground part fresh weight of KP3P9-treated maize seedlings was slightly lower than CK, no significant difference was identified between them. K13C inoculation significantly improved the stem width and under-ground part fresh weight of maize seedlings (p < 0.05), accounting for 1.21- and 1.15-fold increases compared to CK, respectively. Moreover, although no significant difference was identified, the plant height, above-ground part fresh weight, and total plant fresh weight of K13C-inoculated maize seedlings increased by approximately 1.07-, 1.21- and 1.19-fold compared to CK, respectively.
The influences of KP3P9 and K13C inoculation on the root architecture-related parameters were further studied. Although no significant difference was identified among the three groups, the average total root length, root diameter, root volume, root surface area, root projected area, and root tip number of the KP3P9 and K13C groups were all higher than those of the CK group (Table 1). This finding indicated that the inoculation of the two strains can improve the root development of maize seedlings.
To elucidate the mechanism underlying the root and plant growth-promoting effects of KP3P9 and K13C, we assessed their abilities of solubilizing organic and inorganic phosphates (Figure 3D,E), releasing potassium (Figure 3F) and producing IAA (Figure 3G). Results showed that K13C exhibited both organic and inorganic phosphate-solubilizing, and potassium-releasing capacities (Figure 3D,E), whereas KP3P9 only demonstrated inorganic phosphate-solubilizing activity (Figure 3E). Moreover, neither of them was capable of producing IAA (Figure 3G).

3.4. Influences of KP3P9 and K13C on the MSR Resistance of Maize Seedlings

We evaluated the biocontrol efficacy of KP3P9 and K13C against MSR in ‘Xinruipu 826’ seedlings. At two weeks after F. graminearum inoculation, maize seedlings of the KP3P9 and K13C groups exhibited markedly milder disease symptoms than those of the CK group (Figure 4A–C). The disease severity of individual seedlings was scored on a 5-point scale [20]. Compared with CK, both KP3P9 and K13C increased the proportion of seedlings rated as Scale 1 (most resistant) and decreased the proportion rated as Scales 3–5 (Figure 4D). Consequently, disease severity indices (DSIs) were 226.67% for CK, 144% for KP3P9, and 152% for K13C (Figure 4D). These findings indicated that KP3P9 and K13C enhanced the MSR resistance of maize seedlings.

3.5. Molecular Identification of KP3P9 and K13C

For the molecular identification of the two bacteria, their 16S rRNA genes were amplified, sequenced, and subjected to phylogenetic analysis. Phylogenetic analysis revealed that KP3P9 clustered with Bacillus subtilis P36 (PP325762.1) and K13C with Bacillus siamensis geo11 (OP735498.1) (Figure 5), leading to their designation as B. subtilis KP3P9 and B. siamensis K13C, respectively. Their 16S rRNA sequences have been deposited in GenBank under the accession numbers PV759774 (KP3P9) and PV759773 (K13C).

3.6. Genome Assembly and Annotation Results of KP3P9 and K13C, and Prediction Results of Biosynthetic Gene Clusters

To further elucidate the functional mechanisms of KP3P9 and K13C, their whole-genome sequences were obtained, assembled, and annotated (Supplemental Figure S1). The chromosome genome of KP3P9 is 4,279,804 bp in length, with a G + C content of 43.57%. A total of 4540 protein coding genes, 30 rRNA, and 97 tRNA genes were predicted. The KP3P9 genome also contains one 5553 bp repetitive sequence (0.13% of the chromosome), four prophage sequences, six gene islands, and four CRISPRs (Table 2). The genome of strain K13C is 4,066,559 bp, with a G + C content of 43.8%. Its genome comprises 3990 protein coding genes, 27 rRNA genes, and 86 tRNA genes, along with one 4005 bp repetitive sequence (0.10% of the total length), four prophage sequences, six gene islands, and five CRISPRs (Table 2). The genome sequences of KP3P9 and K13C have been deposited in the GenBank database under accession numbers JBQIBB000000000 and JBQIBC000000000, respectively.
Antimicrobial activity of microorganisms is largely attributed to the secondary metabolites they produce. Biosynthetic gene clusters (BGCs) prediction analysis showed that both K13C and KP3P9 contain 14 BGCs (Table 3). In KP3P9, eight clusters are identical to known BGCs involved in the biosynthesis of sporulation killing factor: bacillaene, fengycin, sublancin 168, bacillibactin, pulcherriminic acid, subtilosin A, and bacilysin. Three additional clusters (3, 6 and 13) are of unknown function. In K13C, seven clusters are identical to known BGCs for the production of surfactin, fengycin, bacillibactin, subtilin, pulcherriminic acid, subtilosin A, and bacilysin, while four clusters (2, 3, 6 and 13) are uncharacterized. Furthermore, both strains contain three BGCs with varying degrees of similarity to known clusters, 82% similarity to the surfactin BGC, 16% to the 1-carbapen-2-em-3-carboxylic acid BGC, and 10% to the thailanstatin A BGC.

3.7. Potential Antimicrobial Substrances Detection Results

We further investigated the abilities of strains KP3P9 and K13C to produce protease, β-1,3-glucanase, siderophores, and cellulase. Results showed that both strains exhibited protease- and siderophore-producing activities, whereas neither showed cellulase or β-1,3-glucanase activity (Figure 6).

3.8. The Antagonistic Ability of KP3P9 and K13C Against Other Fusarium Species

Both Bacillus strains KP3P9 and K13C contain numerous BGCs that are predicted to be associated with the biosynthesis of anti-fungal metabolites, suggesting broad-spectrum activity against fungal pathogens. Using dual-culture assays, we evaluated their antagonistic effects on the banana wilt pathogens Fusarium oxysporum f. sp. cubense race 1 (Foc1) and tropical race 4 (FocTR4), as well as on Fusarium solani (Fs), the causal agent of apple replant disease. After seven days of co-culture, KP3P9 and K13C significantly suppressed the radial growth of Foc1 by 74.5% and 72.6% (Figure 7), of FocTR4 by 77.4% and 74.8% (Figure 8), and of Fs by 76.3% and 80.2% (Figure 9), respectively. These results demonstrate that KP3P9 and K13C possess broad-spectrum anti-fungal activity against Fusarium spp.

4. Discussion

In this study, we found that the inoculations of the two Bacillus strains (B. siamensis KP3P9 and B. subtilis K13C) increased the plant height and biomass of maize seedlings, confirming their plant-growth-promoting (PGP) ability. Both KP3P9 and K13C possess siderophore-producing, inorganic phosphate-solubilizing, nitrate-reducing, and potassium-releasing capacities, suggesting that their PGP effects are mediated by improved soil fertility and enhanced root nutrient uptake [29,30,31,32]. Moreover, K13C also solubilizes organic phosphate, indicating that the two strains employ partially distinct mechanisms to promote maize growth.
Our study found that, in vitro, KP3P9 and K13C inhibited F. graminearum growth by 71.6% and 73.4%, respectively. Moreover, their inoculation reduced the DSI of maize seedling resistance to MSR. These results demonstrate that KP3P9 and K13C are promising biocontrol agents against MSR. Bacillus spp. have been successfully applied as biocontrol agents against several crop diseases [33,34,35]. Both B. siamensis and B. subtilis have been shown to be effective biocontrol agents against fungal pathogens [36,37]. B. siamensis GL-02 and M54 effectively inhibit F. graminearum and reduce stalk-rot lesions in maize [1,16]. B. subtilis SL-44 enhances root defense-related enzyme activities, increases beneficial microbial abundance in soil, and directly inhibits Rhizoctonia solani (Rs), thereby improving resistance of Brassica chinensis L. to Rs [38]. B. subtilis JNF2, isolated from an area with high incidence of cucumber Fusarium wilt, significantly suppresses F. oxysporum f. sp. cucumerinum [39]. B. subtilis IBFCBF-4 exhibits high biocontrol potential against Fusarium wilt of watermelon caused by F. oxysporum f. sp. niveum [40]. B. subtilis SF1 effectively controls potato wilt caused by F. foetens, achieving 52.5 ± 2.6% mycelial growth inhibition in vitro and reducing disease incidence by 45.6% under field conditions [41]. B. subtilis BS06 is a promising biocontrol agent against F. oxysporum, the causal agent of soybean root rot [42].
Proteases play important roles in inhibiting pathogen growth and infection, as well as in enhancing the disease resistance of plants [43]. Siderophores have been identified as anti-fungal agents and can induce systemic resistance of plants [44]. Here, we found that both KP3P9 and K13C exhibited protease- and siderophore-producing activities, which might be closely associated with their anti-fungal activities.
By assessing their antagonistic effects on the fungi that cause banana wilt and apple replant disease, we found that both KP3P9 and K13C exhibited strong antagonism against these pathogens. Genome sequencing yielded assemblies of 4,440,737 bp (KP3P9) and 4,279,804 bp (K13C), each containing 14 BGCs. The numbers of BGCs in KP3P9 and K13C differ from those of other B. subtilis and B. siamensis strains. For example, the genomes of B. subtilis TY-1 [45], B. subtilis N4 [46], B. siamensis YB-1631 [47], and B. siamensis SCSIO 0574 [48] contain 10, 11, 10, and 19 BGCs, respectively. These findings suggest that the different antimicrobial activities among Bacillus spp. are associated with the types and abundance of BGCs in their genomes. Both KP3P9 and K13C genomes contain BGCs that are involved in the biosynthesis of fengycin, bacillibactin, subtilin, pulcherriminic acid, subtilosin A, and bacilysin, which have been repeatedly implicated in pathogen suppression. The fengycin isolated from B. amyloliquefaciens FZB42 significantly suppresses the growth of F. graminearue and reduces disease damage. Moreover, fengycin can also reduce the mycotoxin production in infected grains [49]. Bacillibactin [50], subtilin (and subtilin-like) [51], pulcherriminic acid [52], subtilosin A [53], and bacilysin [54] have all been reported to have inhibitory effects on microbial pathogens. The presence of BGCs encoding these antibiotic metabolites suggests that they are closely related to their anti-fungal abilities. Furthermore, KP3P9 additionally carries the sporulation killing factor and the B. subtilis 168 cluster, whereas K13C has the surfactin cluster—both of which also contribute to pathogen inhibition [55,56]. Collectively, our study indicated that the anti-fungal activities of the two Bacillus strains are closely associated with the BGCs encoding antimicrobial metabolites.

5. Conclusions

In this study, two Bacillus species (B. subtilis K13C and B. siamensis KP3P9) isolated from apple rhizosphere soil were found to promote maize seedling growth, suppress the MSR pathogen F. graminearum in vitro, and reduce the DSI of F. graminearum-inoculated seedlings in pot experiments. Both strains exhibited siderophore production, nitrate reduction, inorganic phosphate solubilization, and protease activity—traits linked to PGP and anti-fungal effects. In the future, field experiments should be conducted to verify their PGP and anti-fungal effects on maize. Genome mining revealed BGCs for several anti-fungal metabolites, likely contributing to their broad-spectrum antagonism against Fusarium pathogens. To further identify the key genes and metabolites driving their anti-fungal activity, transcriptomic and metabolomic analyses of the two bacteria are warranted. Moreover, to clarify their functional mechanisms, their influences on the expression of growth- and defense-related genes and on the activities of related enzymes should also be studied.

Supplementary Materials

The following supporting information can be downloaded at https://www.mdpi.com/article/10.3390/microorganisms13102255/s1, Supplemental Figure S1: The circular maps of the KP3P9 (A) and K13C (B) genomes. Different colors represent different functional classifications of CDSs.

Author Contributions

Conceptualization, Z.F. and C.C.; methodology, Z.F. and R.F.; software, H.Z.; validation, M.Q., X.M., R.F., H.Z. and Y.M.; formal analysis, M.Q., X.M., Z.F., R.F., H.Z. and Y.M.; investigation, Z.F.; resources, R.F.; data curation, M.Q., X.M. and H.Z.; writing—original draft preparation, Z.F., M.Q., X.M. and C.C.; writing—review and editing, C.C.; visualization, C.C.; supervision, C.C.; project administration, Z.F. and C.C.; funding acquisition, Z.F. and C.C. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Project of Shanxi Province Key Lab Construction (Z135050009017-3-5), the Central Guidance on Local Science and Technology Development Fund of Shanxi Province (YDZJSX2025D047), the Key Research and Development Project of Shanxi Province (202302140601010), and the Reward Fund for PhDs and Postdoctorates of Shanxi Province (SXBYKY2022004).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are openly available in GenBank, at https://www.ncbi.nlm.nih.gov/genbank/, reference number PV759774, PV759773, JBQIBB000000000 and JBQIBC000000000.

Conflicts of Interest

The authors declare no conflicts of interest.

Abbreviations

The following abbreviations are used in this manuscript:
BGCBiosynthetic gene clusters
CRISPRClustered regularly interspaced short palindromic repeats
DSIDisease severity index
Foc1F. oxysporum f. sp. cubense race 1
FocTR4F. oxysporum f. sp. cubense tropical race 4
FsF. solani
IAAIndole-3-acetic acid
LBLysogeny broth
MSRMaize stalk rot
PDAPotato dextrose agar
PGPPlant-growth-promoting
RsRhizoctonia solani

References

  1. Yuan, Y.; Zhang, S.; Tan, X.; Deng, J.; Gong, S.; Zhai, X.; Xu, X.; Ruan, C.; Hu, Y.; Zhang, J.; et al. Intestinal bacterium Bacillus siamensis M54 from Allomyrina dichotoma is a potential biocontrol agent against maize stalk rot. Biol. Control 2024, 199, 105660. [Google Scholar] [CrossRef]
  2. Cao, Y.; Ma, J.; Han, S.; Hou, M.; Wei, X.; Zhang, X.; Zhang, Z.; Sun, S.; Ku, L.; Tang, J.; et al. Single-cell RNA sequencing profiles reveal cell type-specific transcriptional regulation networks conditioning fungal invasion in maize roots. Plant Biotechnol. J. 2023, 21, 1839–1859. [Google Scholar] [CrossRef] [PubMed]
  3. Wang, L.; Jia, J.; Su, Q.; Cao, H.; Jia, S.; Si, H.; Cao, Z.; Ma, S.; Xing, J.; Zhang, K.; et al. Root-associated microbial diversity and metabolomics in maize resistance to stalk rot. Front. Microbiol. 2024, 15, 1468627. [Google Scholar] [CrossRef]
  4. Asiedu, D.D.; Miedaner, T. Genetic and genomic tools in breeding for resistance to Fusarium stalk rot in maize (Zea mays L.). Plants 2025, 14, 819. [Google Scholar] [CrossRef]
  5. Gai, X.T.; Xuan, Y.H.; Gao, Z.G. Diversity and pathogenicity of Fusarium graminearum species complex from maize stalk and ear rot strains in North-East China. Plant Pathol. 2017, 66, 1267–1275. [Google Scholar] [CrossRef]
  6. Figueroa-López, A.; Cordero-Ramírez, J.; Martínez-Álvarez, J.; López-Meyer, M.; Lizárraga-Sánchez, G.; Félix-Gastélum, R.; Castro-Martínez, C.; Maldonado-Mendoza, L. Rhizospheric bacteria of maize with potential for biocontrol of Fusarium verticillioides. SpringerPlus 2016, 5, 330. [Google Scholar] [CrossRef]
  7. Zhang, X.; Zheng, S.; Yu, M.; Xu, C.; Li, Y.; Sun, L.; Hu, G.; Yang, J.; Qiu, X. Evaluation of resistance resources and analysis of resistance mechanisms of maize to stalk rot caused by Fusarium graminearum. Plant Dis. 2024, 108, 348–358. [Google Scholar] [CrossRef]
  8. Han, S.; Cao, Y.; Zhang, J.; Wang, J.; Zhang, L.; Chen, Y.; Ku, L.; Duan, C. First report of Fusarium cf. longipes associated with Maize stalk rot in China. Plant Dis. 2022, 106, 1064. [Google Scholar] [CrossRef]
  9. Shin, J.; Han, J.; Lee, J.; Kim, K. Characterization of the maize stalk rot pathogens Fusarium subglutinans and F. temperatum and the effect of fungicides on their mycelial growth and colony formation. Plant Pathol. J. 2014, 30, 397–406. [Google Scholar] [CrossRef] [PubMed]
  10. Sun, X.; Yang, R.; Tang, H.; Ma, M.; Chen, H.; Chang, X.; Zhang, M.; Gong, G. Diversity and pathogenicity of Fusarium species associated with stalk and crown rot in maize in northern Italy. Sci. Rep. 2025, 15, 5984. [Google Scholar]
  11. Xi, K.; Shan, L.; Yang, Y.; Zhang, G.; Zhang, J.; Guo, W. Species diversity and chemotypes of Fusarium species associated with maize stalk rot in Yunnan province of southwest China. Front. Microbiol. 2021, 12, 652062. [Google Scholar] [CrossRef]
  12. Jia, S.; Liu, Y.; Wang, Z.; Zang, J.; Zhang, K.; Dong, J.; Si, H.; Xing, J. Screening and identification of a biocontrol strain against maize stalk rot and evaluation of its field control effect. Microbiol. China 2025, 52, 3111–3123. [Google Scholar]
  13. Bonaterra, A.; Badosa, E.; Daranas, N.; Francés, J.; Roselló, G.; Montesinos, E. Bacteria as biological control agents of plant diseases. Microorganisms 2022, 10, 1759. [Google Scholar] [CrossRef]
  14. Singh, S.; Shyu, D. Perspective on utilization of Bacillus species as plant probiotics for different crops in adverse conditions. AIMS Microbiol. 2024, 10, 220–238. [Google Scholar] [CrossRef] [PubMed]
  15. Xia, X.; Wei, Q.; Wu, H.; Chen, X.; Xiao, C.; Ye, Y.; Liu, C.; Yu, H.; Guo, Y.; Sun, W.; et al. Bacillus species are core microbiota of resistant maize cultivars that induce host metabolic defense against corn stalk rot. Microbiome 2024, 12, 156. [Google Scholar] [CrossRef]
  16. Zhang, K.; Wang, L.; Si, H.; Guo, H.; Liu, J.; Jia, J.; Su, Q.; Wang, Y.; Zang, J.; Xing, J.; et al. Maize stalk rot caused by Fusarium graminearum alters soil microbial composition and is directly inhibited by Bacillus siamensis isolated from rhizosphere soil. Front. Microbiol. 2022, 13, 986401. [Google Scholar] [CrossRef]
  17. Wang, S.; Jin, P.; Zheng, Y.; Wu, K.; Chen, J.; Liu, J.; Li, Y. Bacillus velezensis B105-8, a potential and efficient biocontrol agent in control of maize stalk rot caused by Fusarium graminearum. Front. Microbiol. 2024, 15, 1462992. [Google Scholar] [CrossRef]
  18. Kim, J.; Song, J.; Kim, P.; Kim, D.; Kim, Y. Bacillus velezensis TSA32-1 as a promising agent for biocontrol of plant pathogenic fungi. J. Fungi 2022, 8, 1053. [Google Scholar] [CrossRef] [PubMed]
  19. Cheng, X.; Ji, X.; Ge, Y.; Li, J.; Qi, W.; Qiao, K. Characterization of antagonistic Bacillus methylotrophicus isolated from rhizosphere and its biocontrol effects on Maize stalk rot. Phytopathology 2019, 109, 571–581. [Google Scholar] [CrossRef] [PubMed]
  20. Sun, Y.; Ruan, X.; Ma, L.; Wang, F.; Gao, X. Rapid screening and evaluation of maize seedling resistance to stalk rot caused by Fusarium spp. Bio Protoc. 2018, 8, e2859. [Google Scholar] [CrossRef]
  21. Dong, X.Z.; Cai, M.Y. Common Bacterial System Identification Manual; Science Press: Beijing, China, 2001. (In Chinese) [Google Scholar]
  22. Liu, M.; Liu, X.; Cheng, B.; Ma, X.; Lyu, X.; Zhao, X.; Ju, Y.; Zhuo, M.; Zhang, Z.; Fang, Y. Selection and evaluation of phosphate-solubilizing bacteria from grapevine rhizospheres for use as biofertilizers. Span. J. Agric. Res. 2016, 14, e1106. [Google Scholar] [CrossRef]
  23. Guo, Y.; Tian, L.; Zhu, X.; Liu, S.; Wang, L.; Li, W. Antagonism of Bacillus velezensis ZGE166 against the pathogenic fungi causing corm rot disease in Saffron (Crocus sativus L.). Microb. Ecol. 2025, 88, 40. [Google Scholar] [CrossRef]
  24. Muthuraja, R.; Muthukumar, T. Isolation and characterization of potassium solubilizing Aspergillus species isolated from saxum habitats and their effect on maize growth in different soil types. Geomicrobiol. J. 2021, 38, 672–685. [Google Scholar] [CrossRef]
  25. Chowhan, L.; Mir, M.; Sabra, M.; El-Habbab, A.; Kiran, K. Plant growth promoting and antagonistic traits of bacteria isolated from forest soil samples. Iran J. Microbiol. 2023, 15, 278–289. [Google Scholar] [CrossRef] [PubMed]
  26. Borah, A.; Thakur, D. Phylogenetic and functional characterization of culturable endophytic Actinobacteria associated with Camellia spp. for growth promotion in commercial tea cultivars. Front. Microbiol. 2020, 11, 318. [Google Scholar] [CrossRef]
  27. Yuan, H.; Yuan, M.; Shi, B.; Wang, Z.; Huang, T.; Zhu, J.; Hou, H.; Wang, L.; Tu, H. Biocontrol activity of Bacillus halotolerans strain Pl7 against Botryosphaeria dothidea causing apple postharvest decay and potential mechanisms. Front. Microbiol. 2023, 13, 1058167. [Google Scholar] [CrossRef] [PubMed]
  28. Schwyn, B.; Neilands, J. Universal chemical assay for the detection and determination of siderophores. Anal. Biochem. 1987, 160, 47–56. [Google Scholar] [CrossRef] [PubMed]
  29. Deng, Z.; Wang, J.; Yan, Y.; Wang, J.; Shao, W.; Wu, Z. Biochar-based Bacillus subtilis inoculants promote plant growth: Regulating microbial community to improve soil properties. J. Environ. Manag. 2025, 373, 123534. [Google Scholar] [CrossRef]
  30. Muhammad, H.; Ijaz, M.; Sattar, A.; Ul-Allah, S.; Sher, A.; Asif, M.; Dilshad, M.; Mahmood, K.; Riaz, M.W.; Zaheer, M.S.; et al. Synergistic effects of PGPRs and fertilizer amendments on improving the yield and productivity of Canola (Brassica napus L.). BMC Plant Biol. 2025, 25, 50. [Google Scholar] [CrossRef]
  31. Tariq, H.; Subramanian, S.; Geitmann, A.; Smith, D.L. Bacillus and Paenibacillus as plant growth-promoting bacteria in soybean and cannabis. Front. Plant Sci. 2025, 16, 1529859. [Google Scholar] [CrossRef]
  32. Sui, J.; Yang, J.; Li, C.; Zhang, L.; Hua, X. Effects of a microbial restoration substrate on plant growth and rhizosphere microbial community in a continuous cropping poplar. Microorganisms 2023, 11, 486. [Google Scholar] [CrossRef]
  33. Dong, W.; Long, T.; Ma, J.; Wu, N.; Mo, W.; Zhou, Z.; Jin, J.; Zhou, H.; Ding, H. Effects of Bacillus velezensis GUAL210 control on edible rose black spot disease and soil fungal community structure. Front. Microbiol. 2023, 14, 1199024. [Google Scholar] [CrossRef] [PubMed]
  34. Ahmad, A.M.; Attia, A.G.; Mohamed, M.S. Fermentation, formulation and evaluation of PGPR Bacillus subtilis isolate as a bioagent for reducing occurrence of peanut soil-borne diseases. J. Integr. Agric. 2019, 18, 2080–2092. [Google Scholar] [CrossRef]
  35. Abdelmoteleb, A.; Moreno-Ramírez, L.; Valdez-Salas, B.; Seleiman, M.F.; El-Hendawy, S.; Aldhuwaib, K.J.; Alotaibi, M.; González-Mendoza, D. New Bacillus subtilis strains isolated from Prosopis glandulosa rhizosphere for suppressing Fusarium spp. and enhancing growth of Gossypium hirsutum L. Biology 2022, 12, 73. [Google Scholar] [CrossRef] [PubMed]
  36. He, H.; Zhai, Q.; Tang, Y.; Gu, X.; Pan, H.; Zhang, H. Effective biocontrol of soybean root rot by a novel bacterial strain Bacillus siamensis HT1. Physiol. Mol. Plant Pathol. 2023, 125, 101984. [Google Scholar] [CrossRef]
  37. Yang, Y.; Zhang, Y.; Zhang, L.; Zhou, Z.; Zhang, J.; Yang, J.; Gao, X.; Chen, R.; Huang, Z.; Xu, Z.; et al. Isolation of Bacillus siamensis B-612, a strain that is resistant to rice blast disease and an investigation of the mechanisms responsible for suppressing rice blast fungus. Int. J. Mol. Sci. 2023, 24, 8513. [Google Scholar] [CrossRef]
  38. Deng, Z.; Wang, J.; Yan, Y.; Wang, J.; Shao, W.; Wu, Z. Biochar-based Bacillus subtilis inoculant for enhancing plants disease prevention: Microbiota response and root exudates regulation. Biochar 2023, 5, 81. [Google Scholar] [CrossRef]
  39. Yang, F.; Wang, X.; Jiang, H.; Yao, Q.; Liang, S.; Chen, W.; Shi, G.; Tian, B.; Hegazy, A.; Ding, S. Mechanism of a novel Bacillus subtilis JNF2 in suppressing Fusarium oxysporum f. sp. cucumerium and enhancing cucumber growth. Front. Microbiol. 2024, 13, 1459906. [Google Scholar] [CrossRef]
  40. Zhu, J.; Tan, T.; Shen, A.; Yang, X.; Yu, Y.; Gao, C.; Li, Z.; Cheng, Y.; Chen, J.; Guo, L.; et al. Biocontrol potential of Bacillus subtilis IBFCBF-4 against Fusarium wilt of watermelon. J. Plant Pathol. 2020, 102, 433–441. [Google Scholar] [CrossRef]
  41. Liu, L.; Jin, X.; Lu, X.; Guo, L.; Lu, P.; Yu, H.; Lv, B. Mechanisms of Surfactin from Bacillus subtilis SF1 against Fusarium foetens: A Novel Pathogen Inducing Potato Wilt. J. Fungi 2023, 9, 367. [Google Scholar] [CrossRef]
  42. Jia, Y.; Huang, J.; Qi, L.; Zhang, X.; Liu, J.; Guan, H.; Wang, C.; Tang, G.; Dou, X.; Lu, M. Bacillus subtilis strain BS06 protects soybean roots from Fusarium oxysporum infection. FEMS Microbiol. Lett. 2021, 368, fnab102. [Google Scholar] [CrossRef]
  43. Ding, S.; Li, P.; Tang, Y.; He, Z.; She, X. Identification and genomic insights into Bacillus siamensis strains with host colonization potential and activity against tomato bacterial wilt. Pest. Manag. Sci. 2025, 81, 1547–1561. [Google Scholar] [CrossRef] [PubMed]
  44. Ho, Y.-N.; Hoo, S.Y.; Wang, B.-W.; Hsieh, C.-T.; Lin, C.-C.; Sun, C.-H.; Peng, C.-C.; Yang, Y.-L. Specific inactivation of an antifungal bacterial siderophore by a fungal plant pathogen. ISME J. 2021, 15, 1858–1861. [Google Scholar] [CrossRef]
  45. Tian, Y.; Ji, S.; Zhang, E.; Chen, Y.; Xu, G.; Chen, X.; Fan, J.; Tang, X. Complete genome analysis of Bacillus subtilis TY-1 reveals its biocontrol potential against tobacco bacterial wilt. Mar. Genom. 2023, 68, 101018. [Google Scholar] [CrossRef]
  46. Long, Y.; Chen, S.; Xu, X.; Zhao, W.; Tang, X.; Zhang, L.; Zhang, Q. High-quality genome resource of Bacillus subtilis N4, a biological control agent isolated from Phoebe bournei. Phytopathology 2023, 113, 577–579. [Google Scholar] [CrossRef]
  47. Dong, Q.; Liu, Q.; Goodwin, P.H.; Deng, X.; Xu, W.; Xia, M.; Zhang, J.; Sun, R.; Wu, C.; Wang, Q.; et al. Isolation and genome-based characterization of biocontrol potential of Bacillus siamensis YB-1631 against wheat crown rot caused by Fusarium pseudograminearum. J. Fungi 2023, 9, 547. [Google Scholar] [CrossRef] [PubMed]
  48. Pan, H.; Tian, X.; Shao, M.; Xie, Y.; Huang, H.; Hu, J.; Ju, J. Genome mining and metabolic profiling illuminate the chemistry driving diverse biological activities of Bacillus siamensis SCSIO 05746. Appl. Microbiol. Biotechnol. 2019, 103, 4153–4165. [Google Scholar] [CrossRef] [PubMed]
  49. Hanif, A.; Zhang, F.; Li, P.; Li, C.; Xu, Y.; Zubair, M.; Zhang, M.; Jia, D.; Zhao, X.; Liang, J.; et al. Fengycin produced by Bacillus amyloliquefaciens FZB42 inhibits Fusarium graminearum growth and mycotoxins biosynthesis. Toxins 2019, 11, 295. [Google Scholar] [CrossRef]
  50. Chakraborty, K.; Kizhakkekalam, V.K.; Joy, M.; Chakraborty, R.D. Bacillibactin class of siderophore antibiotics from a marine symbiotic Bacillus as promising antibacterial agents. Appl. Microbiol. Biotechnol. 2022, 106, 329–340. [Google Scholar] [CrossRef]
  51. Halami, P.M. Sublichenin, a new subtilin-like lantibiotics of probiotic bacterium Bacillus licheniformis MCC 2512T with antibacterial activity. Microb. Pathog. 2019, 128, 139–146. [Google Scholar] [CrossRef]
  52. Charron-Lamoureux, V.; Haroune, L.; Pomerleau, M.; Hall, L.; Orban, F.; Leroux, J.; Rizzi, A.; Bourassa, J.-S.; Fontaine, N.; D’aStous, É.V.; et al. Pulcherriminic acid modulates iron availability and protects against oxidative stress during microbial interactions. Nat. Commun. 2023, 14, 2536. [Google Scholar] [CrossRef] [PubMed]
  53. Shelburne, C.E.; An, F.Y.; Dholpe, V.; Ramamoorthy, A.; Lopatin, D.E.; Lantz, M.S. The spectrum of antimicrobial activity of the bacteriocin subtilosin A. J. Antimicrob. Chemoth. 2007, 59, 297–300. [Google Scholar] [CrossRef]
  54. Islam, T.; Rabbee, M.; Choi, J.; Baek, K.H. Biosynthesis, molecular regulation, and application of bacilysin produced by Bacillus species. Metabolites 2022, 27, 397. [Google Scholar] [CrossRef]
  55. Chen, L.; Xu, X.; Sun, Y.; Xin, Q.; Lv, Y.; Hu, Y.; Bian, K. Surfactin inhibits Fusarium graminearum by accumulating intracellular ROS and inducing apoptosis mechanisms. World J. Microbiol. Biotechnol. 2023, 39, 340. [Google Scholar] [CrossRef] [PubMed]
  56. Zhao, Y.; Selvaraj, J.N.; Xing, F.; Zhou, L.; Wang, Y.; Song, H.; Tan, X.; Sun, L.; Sangare, L.; Folly, Y.M.; et al. Antagonistic action of Bacillus subtilis strain SG6 on Fusarium graminearum. PLoS ONE 2014, 9, e92486. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Colony morphology and physiological–biochemical characteristics of KP3P9 and K13C. (A) Colony morphology characteristics of KP3P9 (left) and K13C (right) on LB medium. (BH) Detection results of amylase ability (B), urease activity (C), catalase activity (D), nitrate reduction ability (E), H2S-producing ability (F), V-P test (G) and methyl red test (H). In (B): A transparent ring around the colony indicates a positive result; otherwise, the result is negative. In (C) a change in the culture medium from yellow to red indicates a positive result; if the medium remains yellow, the result is negative. In (D) a positive result is indicated by bubble formation; absence of bubbles signifies a negative result. In (E,G,H) a red color change in the solution indicates a positive result. In (F) a positive result is indicated by the filter paper strip turning black.
Figure 1. Colony morphology and physiological–biochemical characteristics of KP3P9 and K13C. (A) Colony morphology characteristics of KP3P9 (left) and K13C (right) on LB medium. (BH) Detection results of amylase ability (B), urease activity (C), catalase activity (D), nitrate reduction ability (E), H2S-producing ability (F), V-P test (G) and methyl red test (H). In (B): A transparent ring around the colony indicates a positive result; otherwise, the result is negative. In (C) a change in the culture medium from yellow to red indicates a positive result; if the medium remains yellow, the result is negative. In (D) a positive result is indicated by bubble formation; absence of bubbles signifies a negative result. In (E,G,H) a red color change in the solution indicates a positive result. In (F) a positive result is indicated by the filter paper strip turning black.
Microorganisms 13 02255 g001
Figure 2. Antagonistic activity of KP3P9 and K13C against F. graminearum on PDA medium. (A) Dual-culture assay results for KP3P9 /K13C and F. graminearum on PDA medium. (B) Colony diameters for F. graminearum cultured alone or co-cultured with KP3P9/K13C on PDA medium. (C) Inhibitory effect of KP3P9/K13C on the growth of F. graminearum. Fg: Fusarium graminearum.
Figure 2. Antagonistic activity of KP3P9 and K13C against F. graminearum on PDA medium. (A) Dual-culture assay results for KP3P9 /K13C and F. graminearum on PDA medium. (B) Colony diameters for F. graminearum cultured alone or co-cultured with KP3P9/K13C on PDA medium. (C) Inhibitory effect of KP3P9/K13C on the growth of F. graminearum. Fg: Fusarium graminearum.
Microorganisms 13 02255 g002
Figure 3. Effects of KP3P9 and K13C inoculation on the growth of maize seedlings. (AC) Typical phenotypes for non-inoculated (A), KP3P9-inoculated (B) and K13C-inoculated (C) maize seedlings. Bar = 10 cm. (DF) Assay results for organic-phosphate solubilization (D), inorganic-phosphate solubilization (E), potassium release (F), and IAA production (G) tests. In (DF) a transparent ring around the colony indicates a positive result; otherwise, the result is negative. (G) Left, negative control; middle, treatment; right, positive control.
Figure 3. Effects of KP3P9 and K13C inoculation on the growth of maize seedlings. (AC) Typical phenotypes for non-inoculated (A), KP3P9-inoculated (B) and K13C-inoculated (C) maize seedlings. Bar = 10 cm. (DF) Assay results for organic-phosphate solubilization (D), inorganic-phosphate solubilization (E), potassium release (F), and IAA production (G) tests. In (DF) a transparent ring around the colony indicates a positive result; otherwise, the result is negative. (G) Left, negative control; middle, treatment; right, positive control.
Microorganisms 13 02255 g003
Figure 4. Biocontrol efficacy of KP3P9 and K13C against MSR. (AC) Representative phenotypes of maize seedlings from CK, KP3P9, and K13C groups at two weeks post F. graminearum inoculation. Bar = 10 cm. (D) Disease severity index (DSI) for maize seedlings from CK, KP3P9, and K13C groups. DSI was calculated using a 5-point classification scale (from Scale 1 (the most resistant) to Scale 5 (the most susceptible)).
Figure 4. Biocontrol efficacy of KP3P9 and K13C against MSR. (AC) Representative phenotypes of maize seedlings from CK, KP3P9, and K13C groups at two weeks post F. graminearum inoculation. Bar = 10 cm. (D) Disease severity index (DSI) for maize seedlings from CK, KP3P9, and K13C groups. DSI was calculated using a 5-point classification scale (from Scale 1 (the most resistant) to Scale 5 (the most susceptible)).
Microorganisms 13 02255 g004
Figure 5. Phylogenetic analysis results using 16S rRNA sequences of KP3P9 (A), K13C (B), and other Bacillus strains.
Figure 5. Phylogenetic analysis results using 16S rRNA sequences of KP3P9 (A), K13C (B), and other Bacillus strains.
Microorganisms 13 02255 g005
Figure 6. Protease (A), β-1,3-glucanase (B), siderophore-producing (C), and cellulose (D) activities analysis results for KP3P9 and K13C. In (A,B,D) presence of a transparent ring around the colony indicates a positive result; absence indicates a negative result. In (C) an orange-yellow halo indicates positive siderophore secretion.
Figure 6. Protease (A), β-1,3-glucanase (B), siderophore-producing (C), and cellulose (D) activities analysis results for KP3P9 and K13C. In (A,B,D) presence of a transparent ring around the colony indicates a positive result; absence indicates a negative result. In (C) an orange-yellow halo indicates positive siderophore secretion.
Microorganisms 13 02255 g006
Figure 7. Antagonistic activity of KP3P9 and K13C against F. oxysporum f. sp. cubense race 1 (Foc1). (A) Dual-culture assay results for KP3P9/K13C and Foc1 on PDA medium. (B) Colony diameters for Foc1 cultured alone or co-cultured with KP3P9/K13C on PDA medium. (C) Inhibitory effect of KP3P9/K13C on the growth of Foc1.
Figure 7. Antagonistic activity of KP3P9 and K13C against F. oxysporum f. sp. cubense race 1 (Foc1). (A) Dual-culture assay results for KP3P9/K13C and Foc1 on PDA medium. (B) Colony diameters for Foc1 cultured alone or co-cultured with KP3P9/K13C on PDA medium. (C) Inhibitory effect of KP3P9/K13C on the growth of Foc1.
Microorganisms 13 02255 g007
Figure 8. Antagonistic activity of KP3P9 and K13C against F. oxysporum f. sp. cubense tropical race 4 (FocTR4). (A) Dual-culture assay results for KP3P9 /K13C and FocTR4 on PDA medium. (B) Colony diameters for FocTR4 cultured alone or co-cultured with KP3P9/K13C on PDA medium. (C) Inhibitory effect of KP3P9/K13C on the growth of FocTR4.
Figure 8. Antagonistic activity of KP3P9 and K13C against F. oxysporum f. sp. cubense tropical race 4 (FocTR4). (A) Dual-culture assay results for KP3P9 /K13C and FocTR4 on PDA medium. (B) Colony diameters for FocTR4 cultured alone or co-cultured with KP3P9/K13C on PDA medium. (C) Inhibitory effect of KP3P9/K13C on the growth of FocTR4.
Microorganisms 13 02255 g008
Figure 9. Antagonistic activity of KP3P9 and K13C against F. solani (Fs). (A) Dual-culture assay results for KP3P9 /K13C and Fs on PDA medium. (B) Colony diameters for Fs cultured alone or co-cultured with KP3P9/K13C on PDA medium. (C) Inhibitory effect of KP3P9/K13C on the growth of Fs.
Figure 9. Antagonistic activity of KP3P9 and K13C against F. solani (Fs). (A) Dual-culture assay results for KP3P9 /K13C and Fs on PDA medium. (B) Colony diameters for Fs cultured alone or co-cultured with KP3P9/K13C on PDA medium. (C) Inhibitory effect of KP3P9/K13C on the growth of Fs.
Microorganisms 13 02255 g009
Table 1. The influences of KP3P9 and K13C on the growth of maize seedlings. Different letters in the same line indicate significant difference among samples from CK, KP3P9 and K13C groups (p < 0.05).
Table 1. The influences of KP3P9 and K13C on the growth of maize seedlings. Different letters in the same line indicate significant difference among samples from CK, KP3P9 and K13C groups (p < 0.05).
ParametersCKKP3P9K13C
Plant height (cm)37.92 ± 3.04 b46.50 ± 2.32 a40.40 ± 4.13 b
Stem width (mm)2.57 ± 0.32 b3.09 ± 0.37 a3.12 ± 0.22 a
Above-ground part fresh weight (g)1.67 ± 0.35 b2.59 ± 0.32 a2.02 ± 0.29 b
Under-ground part fresh weight (g)1.18 ± 0.15 b1.14 ± 0.03 b1.36 ± 0.04 a
Plant fresh weight (g)2.85 ± 0.36 b3.73 ± 0.33 a3.39 ± 0.31 ab
Total root length648.93 ± 72.70 a743.72 ± 59.25 a745.23 ± 55.46 a
Root diameter (mm)0.23 ± 0.10 a0.29 ± 0.04 a0.30 ± 0.04 a
Root volume (mm3)205.82 ± 116.00 a240.91 ± 79.25 a253.12 ± 62.50 a
Root surface area (mm2)474.62 ± 261.27 a676.10 ± 110.01 a697.62 ± 95.89 a
Root projected area (mm2)151.08 ± 83.17 a215.21 ± 35.02 a222.06 ± 30.53 a
Root tip number398.25 ± 80.74 a462.80 ± 40.42 a471.80 ± 61.35 a
Table 2. General genomic features of KP3P9 and K13C.
Table 2. General genomic features of KP3P9 and K13C.
FeatureKP3P9K13C
ChromosomeChromosome
Genome topologycircularcircular
Assembly size (bp)4,279,8044,066,559
G + C content (%)43.5743.8
Protein coding genes3.994,540
tRNA genes9786
rRNA genes3027
Prophage44
Gene islands66
CRISPR45
Biosynthetic gene clusters1414
GenBank accession IDJBQIBB000000000JBQIBC000000000
Table 3. Predicted secondary metabolite biosynthetic gene clusters in KP3P9 and K13C genomes.
Table 3. Predicted secondary metabolite biosynthetic gene clusters in KP3P9 and K13C genomes.
Strain NameClusterLength/bpKnown ClusterSpecies with Known ClustersSimilarity (%)
KP3P9Cluster122,953Sporulation killing factorBacillus subtilis subsp. subtilis str. 168100
Cluster265,391SurfactinBacillus velezensis FZB4282
Cluster320,803---
Cluster4114,758BacillaeneBacillus velezensis FZB42100
Cluster577,759FengycinBacillus velezensis FZB42100
Cluster621,898---
Cluster720,170Sublancin 168Bacillus subtilis subsp. subtilis str. 168100
Cluster841,0971-carbapen-2-em-3-carboxylic acidPectobacterium carotovorum16
Cluster951,777BacillibactinBacillus subtilis subsp. subtilis str. 168 100
Cluster1020,746Pulcherriminic acidBacillus subtilis subsp. subtilis str. 168100
Cluster1121,611Subtilosin ABacillus subtilis subsp. spizizenii ATCC 6633100
Cluster1241,418BacilysinBacillus velezensis FZB42100
Cluster1320,269---
Cluster1421,698Thailanstatin ABurkholderia thailandensis10
K13CCluster165,391SurfactinBacillus velezensis FZB4282
Cluster220,803---
Cluster326,295---
Cluster4114,749BacillaeneBacillus velezensis FZB42100
Cluster577,762FengycinBacillus velezensis FZB42100
Cluster621,898---
Cluster741,0971-carbapen-2-em-3-carboxylic acidPectobacterium carotovorum16
Cluster851,777BacillibactinBacillus subtilis subsp. subtilis str. 168100
Cluster926,225SubtilinBacillus subtilis subsp. spizizenii ATCC 6633100
Cluster1020,746Pulcherriminic acidBacillus subtilis subsp. subtilis str. 168100
Cluster1121,611Subtilosin ABacillus subtilis subsp. spizizenii ATCC 6633100
Cluster1241,418BacilysinBacillus velezensis FZB42100
Cluster1312,731---
Cluster1421,698Thailanstatin ABurkholderia thailandensis10
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Feng, Z.; Qin, M.; Ma, X.; Feng, R.; Zhao, H.; Meng, Y.; Cheng, C. Characterization of Two Potential Biocontrol Bacillus Strains Against Maize Stalk Rot. Microorganisms 2025, 13, 2255. https://doi.org/10.3390/microorganisms13102255

AMA Style

Feng Z, Qin M, Ma X, Feng R, Zhao H, Meng Y, Cheng C. Characterization of Two Potential Biocontrol Bacillus Strains Against Maize Stalk Rot. Microorganisms. 2025; 13(10):2255. https://doi.org/10.3390/microorganisms13102255

Chicago/Turabian Style

Feng, Zhiwei, Mengyao Qin, Xiaobing Ma, Ruiyun Feng, Huifang Zhao, Yingchao Meng, and Chunzhen Cheng. 2025. "Characterization of Two Potential Biocontrol Bacillus Strains Against Maize Stalk Rot" Microorganisms 13, no. 10: 2255. https://doi.org/10.3390/microorganisms13102255

APA Style

Feng, Z., Qin, M., Ma, X., Feng, R., Zhao, H., Meng, Y., & Cheng, C. (2025). Characterization of Two Potential Biocontrol Bacillus Strains Against Maize Stalk Rot. Microorganisms, 13(10), 2255. https://doi.org/10.3390/microorganisms13102255

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