Abstract
Root colonization and plant probiotic function are important traits of plant growth-promoting rhizobacteria (PGPR). Bacillus velezensis SC60, a plant endophytic strain screened from Sesbania cannabina, has a strong colonization ability on various plant roots, which indicates that SC60 has a preferable adaptability to plants. However, the probiotic function of the strain SC60 is not well-understood. Promoting plant growth and suppressing soil-borne pathogens are key to the plant probiotic functions. In this study, the genetic mechanism of plant growth-promoting and antibacterial activity of the strain SC60 was analyzed by biological and bioinformatics methods. The complete genome size of strain SC60 was 3,962,671 bp, with 4079 predicted genes and an average GC content of 46.46%. SC60 was designated as Bacillus velezensis according to the comparative analysis, including average nucleotide polymorphism (ANI), digital DNA–DNA hybridization (dDDH), and phylogenetic analysis. Genomic secondary metabolite analyses indicated two clusters encoding potential new antimicrobials. The antagonism experiments revealed that strain SC60 had the ability to inhibit the growth of a variety of plant pathogens and its closely related strains of Bacillus spp., which was crucial to the rhizospheric competitiveness and growth-promoting effect of the strain. The present results further suggest that B. velezensis SC60 could be used as a PGPR strain to develop new biocontrol agents or microbial fertilizers.
Keywords: PGPR, root colonization, genome sequencing, Bacillus, soil-borne pathogens
1. Introduction
Due to the abuse of chemical fertilizers and pesticides in agricultural production, the quality of soil and agricultural products has been reduced, which also negatively affects the ecology and sustainability of agricultural development. Plant growth-promoting rhizobacteria (PGPR) are a kind of beneficial microbes that stably survive and colonize in the rhizosphere of plants. PGPR are the major source of biofertilizer strains, which show beneficial effects on crops, such as growth promotion, inhibition of soil-borne pathogens, and enhancement of plant tolerance [1]. The beneficial functions of PGPR on plants largely rely on root colonization ability, for which chemotactic motility and biofilm formation on the rhizoplane are the most important colonization processes [2,3]. Rhizospheric soil is rich in microbial communities, including microbes that exert plant growth-promoting properties [4]. Among the rhizosphere microbial communities, the Bacillus genus is among the most ubiquitous soil microbes and possesses several plant growth-promoting traits [5,6]. Members of the Bacillus genus are ubiquitous in soil due to their endospore-forming properties that allow them to survive in different ecological niches [7]. Members of the Bacillus genus use several mechanisms to improve plant growth and enhance plant pathogen resistance under various environmental conditions.
A key application of PGPR strains is to promote plant growth. Numerous species of Bacillus act as plant growth promoters, relying on multiple mechanisms that involve the synthesis of some phytohormones (auxin, cytokinin, and gibberellins), volatile compounds (VOCs), induction of 1-amino cyclopropane-1-carbocylate (ACC) deaminase, and fixation of atmospheric nitrogen [6,8,9,10]. For example, Bacillus velezensis FZB42 promoted Triticum aestivum root growth by secreting auxin [11]. In addition, Bacillus spp. also secrete phytase or acidic substances that help dissolve minerals (e.g., phosphorus and potassium) in the soil and thus enhance nutrient uptake by plants [12,13,14]. Bacillus spp. can also secrete siderophores to promote the absorption of iron by plants [15,16].
Another important application of PGPR is to protect the plant from pathogens by producing antimicrobial compounds or competing nutrients. Bacillus velezensis, a representative strain of the genus Bacillus, uses more than 8% of the genome to synthesize secondary metabolites in response to competing microbes in the plant rhizosphere [17]. A dozen non-ribosomal polypeptides (bacillaene, bacillibactin, macrolactin, bacillomycin D, fengycin, bacilysin, difficidin, and surfactin) with antifungal and antibacterial activities are synthesized by Bacillus spp. [18]. Biosynthetic gene clusters (BGCs) are responsible for the synthesis of various secondary metabolites [19]. Due to genetic variety, different strains of Bacillus exhibit unique differences in metabolites and antimicrobial capacity, and even among the closely related Bacillus spp. strains, there are many variations in the BGCs [20]. Therefore, based on the genome sequencing, it is possible to discover new BGCs encoding potential secondary metabolites by comparative analysis. This will provide a basis for screening new PGPR strains. Furthermore, these bacteria also can induce systemic resistance responses of plants to pathogens, improve abiotic stress tolerance, and suppress the growth of fungal and bacterial pathogens [21,22,23].
Sesbania cannabina is a multipurpose leguminous crop native to tropical and subtropical regions such as Asia, Africa, and Australia. Due to its wide adaptability and outstanding stress resistance to drought, waterlogging, and salinity, Sesbania cannabina is widely planted as a green manure to improve soil fertility [24,25]. In China, Sesbania cannabina as a pioneer plant has been successfully introduced to the saline-alkaline land restoration of the Yellow River Delta (YRD) [26]. Furthermore, Sesbania cannabina has strong disease and insect resistance, so it is an excellent material for isolating PGPR.
Strain SC60, which was isolated from the seeds of Sesbania cannabina, showed a strong colonization ability on different plant roots. However, the plant probiotic function of strain SC60 is unclear. This study intends to reveal the probiotic potential of the strain SC60 through the genome sequencing information mining, and to elucidate whether the strain SC60 can be used as a PGPR strain in agriculture through plant growth-promoting and pathogen-inhibiting experiments. Here, a series of gene clusters associated with promoting plant growth and inhibiting soil-borne pathogens were identified based on genome sequencing, and we confirmed that SC60 can promote plant root development and inhibit the growth of some pathogens. In addition, we further revealed that the strain SC60 can enhance its rhizosphere competitiveness by inhibiting the growth of closely related species. Thus, B. velezensis SC60 could be used as a PGPR strain to develop new microbial fertilizers.
2. Materials and Methods
2.1. Microbial Strains and Related Medium
The strains used in this study are described in Supplementary Table S1. Bacillus spp. were cultured in liquid LB medium (10 g tryptone, 5 g yeast extract, and 10 g NaCl per liter) with incubation at 37 °C for 24 h in a rotatory shaker (170 rpm). For secondary metabolite production, strain SC60 was grown in Landy medium (MgSO4·7H2O 0.5 g, KH2PO4 1 g, KCl 0.2 g, MnSO4·H2O 10 mg, FeSO4·7H2O 5 mg, CuSO4·5H2O 0.2 mg, glucose 20 g, yeast extract 1 g, L-alanine 2 mg, L-glutamic 5 g per liter) at 30 °C and 170 rpm for 48 h. The bacterial pathogen Ralstonia solanacearum, preserved in the laboratory, was incubated at 30 °C in NA medium (10 g tryptone, 5 g yeast extract, and 5 g NaCl per liter). Fungal pathogens (Fusarium verticillioides, Phytophthora capsica, Fusarium oxysporum sp. cucumebrium Owen, Fusarium graminearum schw, Botrytis cinerea Pers. ex Fr, Aspergillus niger Van Tiegh, Fusarium solani) preserved in the laboratory were incubated at 28 °C in PDA medium (200 g potato, 20 g glucose, and 20 g agar per liter).
2.2. Genomic DNA Preparation, Sequencing and Analysis
Genomic DNA was extracted from strain SC60 using the Bacteria Genomic DNA Extraction Kit (AxyGen, China, Hangzhou), and the genomic DNA of SC60 was sequenced at Shanghai Majorbio Biopharm Technology Co., Ltd. using an Illumina HiSeq×10 system and PacBio high-throughput sequencing technology. Quality control of the raw reads was performed, including base quality, base error rate, and base distribution. Raw Q20 is an important quality filtering parameter, and a total of 6,815,634 filtered paired-end reads with a length of 150 bp were obtained. The filtered reads were assembled using SOAPdenovo2 (http://soap.genomics.org.cn/, accessed on 20 September 2020) with a K-mer size of 17 bp to generate contigs [27]. The complete genome was assembled by Unicycler (v0.4.8) [28]. The coding sequence (CDS) of strain SC60 was predicted using Glimmer (http://ccb.jhu.edu/software/glimmer/index.shtml, accessed on 22 September 2020) [29]. Genome annotation of the CDS was accomplished using NR, Swiss-Prot, Pfam, COG, GO, and KEGG databases [30,31,32,33]. Gene islands (GIs) were predicted in the strain SC60 genome using IslandViewer (v1.2) [34].
2.3. Comparative Analysis of SC60 with Other Bacillus spp.
Whole genome sequences of Bacillus spp. were downloaded from the GenBank genome database (https://www.ncbi.nlm.nih.gov/genome/, accessed on 21 July 2021). ANI values were found using Jspecies WS (http://jspecies.ribohost.com/jspeciesws/, accessed on 29 July 2021). dDDH analysis was carried out by the Genome-to-Genome Distance Calculator (GGDC v3.0) (https://ggdc.dsmz.de/, accessed on 30 July 2021) [20]. Biosynthetic gene clusters for secondary metabolites were analyzed using antiSMASH (v4.0.2) [18]. Comparative genomic analysis was performed by BLAST Ring Image Generator software (BRIG) (https://sourceforge.net/projects/brig/, accessed on 21 July 2021) [35]. The phylogenomic neighbor-joining (NJ) tree was constructed based on the 2968 homologous genomes of 17 Bacillus spp., including B. subtilis, B. amyloliquefaciens, and B. velezensis strains, with B. subtilis as an outgroup. OrthoFinder_2.5.2 was used for homologous genome analysis, and MEGA software (v7.0.26) was used to construct a phylogenetic tree using the NJ method [36].
2.4. Root Colonization of Strain SC60
The colonization abilities of strain SC60 on sesbania, maize, tomato, and pepper root were conducted according to previously reported methods [37]. Briefly, we germinated the sterilized seeds in a sterile environment. The normally germinated seeds were then transferred into sterile vermiculite until two cotyledons emerged. The plants were washed with sterile water to remove the vermiculite on the surface of plant roots and transfer to 1/5 sterile Hoagland nutrient solution for culture. Overnight cultures of strain SC60 were transferred into 100 mL of LB medium at 1% inoculum and incubated at 37 °C and 170 rpm until an OD600 value of 1.0 was achieved. Cells were collected at 8000 rpm at 4 °C. The bacterial cells were washed in 1/5 Hoagland solution 3 times and then resuspended in sterile 1/5 Hoagland nutrient solution. Subsequently, the strains were transferred to sterile seedlings with 3 true leaves to a final concentration of 0.5 × 106 cells mL−1. After three days of cultivation, the roots of plants were washed with sterilized water, and the cells colonized on roots were collected by shaking and measured by plate counting.
2.5. Plant Growth-Promoting Assay of Strain SC60
Sesbania cannabina seeds were surface-sterilized and germinated in sterile conditions. The normally germinated seeds were then transferred to a square plate covered with sterile filter paper. Then, 15 mL of 1/5 Hoagland solution containing a final concentration of 0.5 × 106 cells mL−1 was added to the treatment group, while 15 mL of sterile 1/5 Hoagland solution was added to the control group. The plates were incubated in a climatic chamber at 12 h light (26 °C)/12 h dark (22 °C) and 70% relative humidity. After seven days of cultivation, root development was recorded.
2.6. Plant Pathogens’ Growth Inhibition Assays
The antagonistic activities of strain SC60 against fungal and bacterial pathogens were measured in vitro on PDA and NA agar, respectively. Fungi preserved at −80 °C were activated on PDA plates; after spore germination, the fungal pieces were transferred to new culture medium with an inoculation shovel to completely restore their activity. The antagonistic fungal activity was carried out on 9 cm plates. First, the strain SC60 was activated in LB medium until the OD600 reached 1.0, and then a 5 mm-diameter fungal piece was inoculated onto the center of a PDA plate. Then, 2.5 µL of strain SC60 suspension was pipetted onto 2 cm from each of the fungal pieces, and the plates were incubated for 5 days at 28 °C. The antagonistic effect of strain SC60 against fungal pathogens was evaluated by whether there was an inhibition zone [38]. The activity of antagonistic bacteria was detected by a similar method. All antagonistic experiments were performed in triplicate.
2.7. Closely Related Species’ Growth Inhibition Assays
The strain SC60 was fermented in Landy medium and the culture was collected by centrifugation at 8000 rpm for 10 min. The supernatant was dehydrated in a freeze dryer, and then extracted five times with methanol (100 mL of methanol to extract 1 L of supernatant). The extraction was filtered by a 0.22 μm sterile filter. SC60 were detected on LB medium, and a sterile Oxford cup with an average of 150 μL extraction was placed on a plate with the tested Bacillus spp. strains, and 150 μL methanol as CK. The plates were stored at room temperature for 36 h [17].
3. Results and Analyses
3.1. Comparative Genome Analysis of Strain SC60 with Bacillus Strains
The genomic structure information showed that the chromosome length of strain SC60 was 3,962,671 bp, and a BLAST comparison with B. velezensis and B. subtilis strains is shown in Figure 1. The SC60 genome is composed of a single circular chromosome with a length of 3,962,671 bp, and the average G + C content is 46.46%. The whole genome of SC60 was predicted to contain 4079 coding sequences (CDSs), 27 rRNA, 89 tRNA, and 83 sRNA genes (Table 1). The classification of SC60 genes into clusters of orthologous groups (COGs) assigned 2986 CDSs to at least one COG group (73.2%). A total of 1093 CDSs were not classified into COGs. PHAST analysis of the strain SC60 genome identified 3 prophage regions (Table 1) depicted on the green ring (Figure 1), which represents 3.6% of the entire genome. Sixteen gene islands (GIs) are depicted on the blue ring in Figure 1, which represent 3.3% of the entire genome.
Figure 1.
Whole genome features and comparative genome map of Bacillus velezensis SC60. Circle map displays from the inside to outside: (1) GC Skew, (2) GC Content, (3) secondary metabolite clusters, (4) gene islands, (5) predictive prophage clusters, (6) genome SC60, and (7, 8, 9, 10) blast comparison of the SC60 genome with Bacillus strains FZB42, SQR9, 3610, and 168, respectively. Map and comparative genomic analysis were performed with BRIG.
Table 1.
General genomic features of Bacillus velezensis SC60.
Feature | B. velezensis SC60 |
---|---|
Genome (bp) | 3,962,671 bp |
G + C (%) | 46.46% |
CDS number | 4079 |
Average gene length (bp) | 863.62 |
rRNA | 27 |
tRNA | 89 |
sRNA | 83 |
Genes assigned to COG | 2896 |
prophage regions | 3 |
In general, it is inaccurate to distinguish B. subtilis, B. amyloliquefaciens, and B. velezensis according to 16 S rRNA gene sequences. At present, distinguishing and detecting novel species in Bacillus taxa is mostly based on phylogenetic analysis of the core genome. To identify the species of strain SC60 in Bacillus, the phylogenomic NJ tree was constructed based on 2968 homologous genomes. The comparative phylogenomic analysis indicated that strain SC60 showed the highest homology with Bacillus velezensis (Figure 2). Indeed, ANI and dDDH analyses between strain SC60 and Bacillus velezensis were ≥97.45% and ≥91.20%, respectively, which indicated that the strain SC60 was finally identified as Bacillus velezensis (Table 2).
Figure 2.
Phylogenetic tree based on the core genomes of 17 B. subtilis, B. amyloliquefaciens, and B. velezensis strains. OrthoFinder_2.5.2 was used for homologous genome analysis, and MEGA 7 software was used to construct a phylogenetic tree using the NJ method.
Table 2.
Comparative genomic analysis of Bacillus velezensis SC60 with Bacillus genomes.
Strains | GenBank Accession No. | ANI (%) | dDDH (%) | GC (%) | Size (bp) |
---|---|---|---|---|---|
Bacillus velezensis SC60 | NZ_CP072311 | 100 | 100 | 46.46 | 3,962,671 |
Bacillus velezensis NJN6 | NZ_CP007165 | 99.21 | 96.80 | 46.60 | 4,052,546 |
Bacillus velezensis CAU B946 | NC_016784.1 | 99.11 | 97.50 | 46.50 | 4,019,861 |
Bacillus velezensis IT-45 | NC_020272 | 98.99 | 97.00 | 46.62 | 3,928,857 |
Bacillus velezensis SYBC_H47 | NZ_CP017747 | 98.15 | 93.60 | 46.40 | 3,884,433 |
Bacillus velezensis UCMB5036 | NC_020410.1 | 97.68 | 94.90 | 46.60 | 3,910,324 |
Bacillus velezensis UCMB5113 | NC_022081 | 97.63 | 94.20 | 46.70 | 3,889,532 |
Bacillus velezensis LDO2 | NZ_CP029034.1 | 97.60 | 94.30 | 46.50 | 3,947,271 |
Bacillus velezensis NAU-B3 | NC_022530.1 | 97.52 | 91.20 | 45.99 | 4,196,170 |
Bacillus velezensis FZB42 | NC_009725 | 97.52 | 93.80 | 46.50 | 3,918,596 |
Bacillus velezensis SQR9 | NZ_CP006890 | 97.49 | 92.10 | 46.10 | 4,117,023 |
Bacillus velezensis CC09 | NZ_CP015443 | 97.49 | 91.80 | 46.10 | 4,167,153 |
Bacillus velezensis UCMB5033 | NC_022075 | 97.45 | 92.10 | 46.20 | 4,071,167 |
Bacillus amyloliquefaciens DSM_7 | NC_014551 | 93.29 | 78.50 | 46.10 | 3,980,199 |
Bacillus amyloliquefaciens TA208 | NC_017188 | 93.23 | 78.70 | 45.80 | 3,937,511 |
Bacillus subtilis 168 | NZ_CP010052 | 76.26 | 28.70 | 43.50 | 4,215,619 |
Bacillus subtilis NCIB3610. | NZ_CP020102 | 76.26 | 28.70 | 43.50 | 4,215,607 |
3.2. Plant Growth-Promoting Traits of SC60
Bacillus spp. is a Gram-positive soil bacterium that is commonly found in the rhizosphere environment, the area of soil surrounding plant roots. Root colonization of microbes determines the efficiency of their beneficial effects on plants. In this study, the colonization ability of the strain on the root of Sesbania cannabina, maize, pepper, and tomato was tested, and the results indicated that strain SC60 can colonize the root surface of many plants (Figure 3A). Moreover, we found that strain SC60 can promote the root development of Sesbania cannabina (Figure 3B,C). Further genomic analysis showed that strain SC60 contained multiple genes related to root colonization and plant growth promotion, and it has even been postulated that strain SC60 has potential as a biocontrol bacterium in the rhizosphere (Table 3).
Figure 3.
Colonization and root growth-promoting ability of strain SC60. (A) Root surface colonization of strain SC60. Error bars indicate the standard deviations based on five independently replicated experiments. (B) Effects of strain SC60 on root development of Sesbania cannabina. CK is the control group. The length of root is measured and the statistics are shown in Figure C (C) Quantitative data on growth of Sesbania cannabina. Error bars indicate the standard deviations based on six independently replicated experiments and asterisks (***) above the bars indicate significant differences (p < 0.001).
Table 3.
PGPR trait-associated genes identified in the SC60 genome.
PGPR Traits | Gene ID | Gene Name | Function |
---|---|---|---|
Colonization traits | |||
Chemotaxis and motility | gene0785 | yfmS | methyl-accepting chemotaxis protein |
gene1113 | hemAT | methyl-accepting chemotaxis protein | |
gene1482 | mcpC | methyl-accepting chemotaxis protein | |
gene3157 | tlpB | methyl-accepting chemotaxis protein | |
gene3158 | mcpA | methyl-accepting chemotaxis protein | |
gene3159 | tlpA | methyl-accepting chemotaxis protein | |
gene3160 | mcpB | methyl-accepting chemotaxis protein | |
gene1720–1751 | fla-che operon | Flagellar biosynthesis, chemotaxis protein | |
Biofilm | gene3492–3506 | epsA-O | polysaccharide biosynthesis protein |
gene2571–2573 | tapA-sipW-tasA | amyloid fibers biosynthesis protein | |
gene3142 | yuaB | biofilm-surface layer protein | |
gene3657–3659 | pgsA-C | γ-poly-glutamate biosynthesis protein | |
Quorum sensing | gene3211–3214 | comAPXQ | Quorum sensing |
gene3093 | luxS | Autoinducer 2 (AI-2) synthesis protein | |
plant-growth-promoting factors | |||
Indole-3-acetic acid (IAA) | gene2346–2351 | trpABFCDE | tryptophan biosynthesis operon |
gebe3897 | ysne | tryptophan acetyltransferase | |
phytase | gene2162 | phy | phytase biosynthesis protein |
acetoin | gene3672–3674 | alsDSR | acetoin biosynthesis operon |
3.3. Secondary Metabolite Cluster Analysis
Thirteen BGCs of secondary metabolites were identified in the SC60 genome by the antiSMASH tool (Table 4), including two encoding NRPS, two transAT-PKS, three transATPKS-NRPS, one ladderane, two terpene, one lantipeptide, one T3PKS, and one PKS-like. This analysis showed that about 19% of the SC60 genome is responsible for the regulation, biosynthesis, and transport of antimicrobials. Seven clusters were clearly identified to participate in the synthesis of surfactin, plantazolicin, macrolactin, bacillaene, difficidin, bacillibactin, and bacilysin. Furthermore, Cluster 7 is responsible for the synthesis of both bacillomycin D and fengycin. All clusters have antimicrobial/antibacterial activities or are related to antibiosis. For the 8 clusters, compared with the reference strain B. velezensis FZB42, it was found that the gene cluster arrangement of SC60 was very similar to that of FZB42 (Figure 4, Table 4). The secondary metabolite cluster in strain SC60 was compared with the cluster of four Bacillus strains (FZB42, SQR9, DSM7, and 168) (Table 4), and we found cluster 3 and cluster 12 encoding potential novel metabolites. Cluster 3, encoding PKS-like, showed 7% gene similarity with butirosin A, but the biosynthetic genes of strain SC60 are inconsistent with the butirosin A biosynthetic genes in the MIBiG database. Cluster 12, encoding lantipeptide class II, was not present in any of the four Bacillus strains.
Table 4.
Comparative analysis of secondary metabolite clusters of Bacillus velezensis SC60 identified in the genome with reference genomes.
Bacillus velezensis SC60 | Presence (+) or Absence (−) of Secondary Metabolites Clusters in Bacillus Strains | ||||||||
---|---|---|---|---|---|---|---|---|---|
Cluster Number | Synthetase | Predicted Large Cluster Position | bp | Metabolites | MIBiG ID (% of Genes Show Similarity) | FZB42 | SQR9 | DSM7 | 168 |
1 | nrps | 305,409–370,816 | 65,407 | Surfactin | BGC0000433 (82%) | + | + | + | + |
2 | ladderane | 647,464–688,663 | 41,199 | Plantazolicin | BGC0000569 (91%) | + | − | − | − |
3 | PKS-like | 905,286–946,530 | 41,244 | Butirosin | BGC0000693 (7%) | + | + | + | − |
4 | terpene | 1,028,575–1,049,315 | 20,740 | - | - | + | + | + | − |
5 | transatpks | 1,354,640–1,440,527 | 85,887 | Macrolactin | BGC0000181 (100%) | + | + | − | − |
6 | transatpks-nrps | 1,666,678–1,769,379 | 102,701 | Bacillaene | BGC0001089 (100%) | + | + | + | + |
7 | transatpks-nrps | 1,833,815–1,971,640 | 137,825 | Fengycin | BGC0001095 (100%) | + | + | + | + |
8 | terpene | 1,994,479–2,016,362 | 21,883 | - | - | + | + | + | + |
9 | t3pks | 2,126,023–2,167,121 | 41,098 | - | - | + | + | + | + |
10 | transatpks | 2,326,876–2,427,336 | 100,460 | Difficidin | BGC0000176 (100%) | + | + | − | − |
11 | bacteriocin-nrps | 3,053,922–3,120,713 | 66,791 | Bacillibactin | BGC0000309 (100%) | + | + | + | + |
12 | lantipeptide | 3,269,802–3,296,120 | 26,318 | - | - | − | − | − | − |
13 | NRPS | 3,626,355–3,667,771 | 41,416 | Bacilysin | BGC0001184 (100%) | + | + | + | + |
Figure 4.
Comparisons of NRPS, TransATPKS, and lantipeptide clusters in SC60 (above) and FZB42 (below). The percentage indicates less than 98% identity between strain sequences.
3.4. Antagonistic Activity against Plant Pathogens
To explore the control potential of strain SC60 against soil-borne plant pathogens, the antagonistic activity was determined in PDA and NA media. The strain SC60 was cultured with Fusarium verticillioides, Phytophthora capsica, Fusarium oxysporum sp. cucumebrium Owen, Fusarium graminearum schw, Botrytis cinerea Pers. ex Fr, Aspergillus niger Van Tiegh, and Fusarium solani, and the results showed that the strain SC60 could significantly inhibit the growth of these fungal pathogens. Moreover, strain SC60 also strongly inhibited the growth of the plant pathogenic bacterium Ralstonia solanacearum. This result indicated that strain SC60 exhibited a broad spectrum against soil-borne plant pathogens (Figure 5).
Figure 5.
Antagonistic activity of strain SC60 against eight plant pathogens. (A) Inhibition effect of strain SC60 on the growth of plant pathogens. (B) The size of the zone of inhibition. Error bars indicate the standard deviations based on six independently replicated experiments.
3.5. Antagonistic Activity against Bacillus spp.
Plant roots can secrete a variety of root exudates to provide nutrition for the growth of microbes and allow beneficial microbes to grow and colonize. However, the nutrition provided by plant root exudates is limited. Beneficial bacteria should not only compete with pathogenic bacteria but also compete with closely related strains because of the similar nutritional utilization among the closely related strains. To enhance the rhizosphere competitiveness of PGPRs, some strains have evolved to produce a variety of antibiotics that inhibit or kill other rhizosphere microbes. In this study, the antagonistic ability of strain SC60 against closely related species was verified by the Oxford cup method. The results suggested that the fermentation broth of strain SC60 significantly inhibited the growth of a variety of Bacillus spp., including Bacillus megaterium, Bacillus amyloliquefaciens, Bacillus velezensis, Bacillus cereus, Bacillus halotolerans, Bacillus brevis, Bacillus fordii, and Bacillus subtilis (Figure 6). This characteristic can significantly enhance the rhizosphere competitiveness of strain SC60 and play a major role in rhizosphere biocontrol.
Figure 6.
Antagonistic activity of strain SC60 against closely related Bacillus spp. (A) Inhibition effect of strain SC60 on the growth of Bacillus spp. (B) The diameter of the zone of inhibition. Error bars indicate the standard deviations based on four independently replicated experiments.
4. Discussion
PGPR are the major source of biofertilizer strains, which show beneficial effects on crops, such as growth promotion and inhibition of soil-borne pathogens. However, their beneficial functions largely depend on efficient colonization on roots, for which chemotactic motility and biofilm formation on the rhizoplane are the most important colonization processes. There is a fla-che operon responsible for chemotactic motility and seven methyl-accepting chemotaxis proteins in the SC60 genome. Biofilm matrices are controlled by several synthesis genes, such as EPS, which is synthesized by the epsA-O operon [39]. The amyloid fibers, encoded by the tapA-sipW-tasA operon, are primarily composed of the TasA protein [40]. BslA is a biofilm-surface layer protein, which is responsible for the hydrophobic layer on the biofilms’ surface encoded by bslA [41]. In addition, γ-polyglutamate plays an important role in enhancing the structure of biofilms [42]. The genome of strain SC60 contains the genes encoding the extracellular matrix of the biofilm. The beneficial effect of rhizospheric Bacillus results from the synergy of multiple factors, including the production of phytohormones and the secretion of phytase and the volatile compound acetoin [43,44,45]. The genome of SC60 contains the coding gene cluster trpABFCDE of tryptophan, the precursor of IAA synthesis, the coding gene phy of phytase, and the coding gene cluster alsDSR of acetoin. BGCs are responsible for the synthesis of various secondary metabolites, which contribute to the competitive role between different microbes and resistance to self-encoded antibiotics [46]. In the soil environment, there are various pathogenic fungi and bacteria as well as a large number of closely related species of biocontrol strains. However, due to the lack of nutrition around the plant rhizosphere, PGPR strains compete with these strains. Therefore, PGPR strains should have strong rhizosphere competitiveness. Bacillus spp. devote a large percentage of their genomes to encoding bioactive secondary metabolites that are crucial to competition in the rhizosphere. A large number of secondary metabolites with antibacterial activity were reported in Bacillus velezensis strain FZB42 to inhibit plant pathogens. For example, surfactin, fengycin, and bacillomycin D have strong growth-inhibitory activities against cucumber Fusarium wilt [47]. The known secondary metabolite gene cluster in SC60 was observed to be similar to the corresponding gene cluster in FZB42, with high homology at the nucleotide level (Figure 4). This shows that strain SC60 also has the potential to prevent and control a variety of plant diseases.
Competition with closely related species also plays a crucial role in the effective biocontrol function of PGPR strains. In recent years, it has been found that the plantazolicin and amylocyclicin produced by B. velezensis FZB42 inhibited the growth of Bacillus megaterium and Bacillus subtilis. Bacillus velezensis SQR9 was also found to encode novel antimicrobial fatty acids to inhibit the growth of closely related Bacillus [17]. Recent studies have shown that the BGCs distance of the Bacillus genome is significantly positively correlated with their phylogenetic distance; moreover, the interspecies antagonism of Bacillus spp. was also significantly positively correlated with the distance of BGCs, suggesting that BGCs profiling may play a role in regulating interspecies antagonism [48]. Therefore, we can speculate that the antagonism between the same Bacillus species should be weak. In the present study, the strain SC60 encoded 13 BGCs, indicating that it is rich in secondary metabolites. Additionally, we found that strain SC60 can not only inhibit the growth of distantly related strains such as Bacillus megaterium and Bacillus cereus, but also inhibit the growth of closely related strains such as Bacillus amyloliquefaciens and Bacillus velezensis (FZB42 and SQR9) (Supplementary Figure S1). The results imply that strain SC60 may produce a new antibacterial compound. In the future, we will further excavate the coding gene cluster in strain SC60 that inhibits the growth of closely related strains, and determine the properties and structure of the secondary metabolite through chemical methods. Although the secondary metabolites of strain SC60 can inhibit the growth of many kinds of Bacillus, according to the existing research, we speculated that some Bacillus species that are distantly related to strain SC60 may also have inhibition on the growth of strain SC60. Our findings will provide an important theoretical basis for the agricultural application of strain SC60.
5. Conclusions
In this study, the colonization ability of the Bacillus velezensis SC60 on the root surface of various plants was tested and the effects of SC60 on the root development of Sesbania cannabina were analyzed. We found that the Bacillus velezensis SC60 has strong colonization and growth-promoting functions. This research further revealed the probiotic mechanism of the Bacillus velezensis SC60 through genomic analysis and antagonism experiments. In addition, the results of the study also showed that the Bacillus velezensis SC60 can enhance its rhizosphere competitiveness by inhibiting the growth of closely related species. Our findings provide a potential resource for biocontrol agents or biofertilizers.
Supplementary Materials
The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/microorganisms10040767/s1, Figure S1: Antagonistic activity of strain SC60 against closely related Bacillus velezensis. A. Antagonistic activity of strain SC60 fermentation broth against Bacillus velezensis SQR9; B. Antagonistic activity of strain SC60 fermentation broth against Bacillus velezensis FZB42.; Table S1: Indicator strains used in this study.
Author Contributions
X.D. performed experiments, analyzed data, and wrote the manuscript; L.Z. conceived and designed the research; C.T. and Y.L. modified the manuscript; Z.L. executed part of the antagonism experiments; Z.X. designed the research and modified the manuscript. All authors have read and agreed to the published version of the manuscript.
Funding
This study was financially supported by the National Natural Science Foundation of China (31870020), the National Key Research and Development Program (2019YFD1002700), and the Natural Science Foundation of Shandong (ZR2019BD034).
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
The assembled genome sequences for strain SC60 were uploaded to the NCBI GenBank, project number PRJNA716758.
Conflicts of Interest
The authors declare that they have no conflict of interest.
Footnotes
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.Vejan P., Abdullah R., Khadiran T., Ismail S., Boyce A.N. Role of Plant Growth Promoting Rhizobacteria in Agricultural Sustainability-a Review. Molecules. 2016;21:573. doi: 10.3390/molecules21050573. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Liu Y., Chen L., Wu G., Feng H., Zhang G., Shen Q., Zhang R. Identification of Root-Secreted Compounds Involved in the Communication between Cucumber, the Beneficial Bacillus amyloliquefaciens, and the Soil-Borne Pathogen Fusarium Oxysporum. Mol. Plant-Microbe Interact. 2017;30:53–62. doi: 10.1094/MPMI-07-16-0131-R. [DOI] [PubMed] [Google Scholar]
- 3.Feng H., Zhang N., Fu R., Liu Y., Krell T., Du W., Shao J., Shen Q., Zhang R. Recognition of Dominant Attractants by Key Chemoreceptors Mediates Recruitment of Plant Growth-Promoting Rhizobacteria. Environ. Microbiol. 2019;21:402–415. doi: 10.1111/1462-2920.14472. [DOI] [PubMed] [Google Scholar]
- 4.Imran M., Abulreesh H.H., Monjed M.K., Elbanna K., Samreen, Ahmad I. Multifarious Functional Traits of Free-Living Rhizospheric Fungi, with Special Reference to Aspergillus spp. Isolated from North Indian Soil, and Their Inoculation Effect on Plant Growth. Ann. Microbiol. 2021;71:31. doi: 10.1186/s13213-021-01643-7. [DOI] [Google Scholar]
- 5.Chen L., Liu Y., Wu G., Zhang N., Shen Q., Zhang R. Beneficial Rhizobacterium Bacillus amyloliquefaciens SQR9 Induces Plant Salt Tolerance through Spermidine Production. Mol. Plant-Microbe Interact. 2017;30:423–432. doi: 10.1094/MPMI-02-17-0027-R. [DOI] [PubMed] [Google Scholar]
- 6.Li Y., Shao J., Xie Y., Jia L., Fu Y., Xu Z., Zhang N., Feng H., Xun W., Liu Y., et al. Volatile Compounds from Beneficial Rhizobacteria Bacillus spp. Promote Periodic Lateral Root Development in Arabidopsis. Plant Cell Environ. 2021;44:1663–1678. doi: 10.1111/pce.14021. [DOI] [PubMed] [Google Scholar]
- 7.Lindsay D., Brozel V.S., Von Holy A. Spore Formation in Bacillus subtilis Biofilms. J. Food Prot. 2005;68:860–865. doi: 10.4315/0362-028X-68.4.860. [DOI] [PubMed] [Google Scholar]
- 8.Murali M., Singh S.B., Gowtham H.G., Shilpa N., Prasad M., Aiyaz M., Amruthesh K.N. Induction of Drought Tolerance in Pennisetum glaucum by ACC Deaminase Producing PGPR-Bacillus amyloliquefaciens through Antioxidant Defense System. Microbiol. Res. 2021;253:126891. doi: 10.1016/j.micres.2021.126891. [DOI] [PubMed] [Google Scholar]
- 9.Sun B., Gu L., Bao L., Zhang S., Wei Y., Bai Z., Zhuang G., Zhuang X. Application of Biofertilizer Containing Bacillus subtilis Reduced the Nitrogen Loss in Agricultural Soil. Soil Biol. Biochem. 2020;148:107911. doi: 10.1016/j.soilbio.2020.107911. [DOI] [Google Scholar]
- 10.Poveda J., Gonzalez-Andres F. Bacillus as a Source of Phytohormones for Use in Agriculture. Appl. Microbiol. Biotechnol. 2021;105:8629–8645. doi: 10.1007/s00253-021-11492-8. [DOI] [PubMed] [Google Scholar]
- 11.Talboys P.J., Owen D.W., Healey J.R., Withers P.J., Jones D.L. Auxin Secretion by Bacillus amyloliquefaciens FZB42 Both Stimulates Root Exudation and Limits Phosphorus Uptake in Triticum aestivium. BMC Plant Biol. 2014;14:51. doi: 10.1186/1471-2229-14-51. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Kumar V., Singh P., Jorquera M.A., Sangwan P., Kumar P., Verma A.K., Agrawal S. Isolation of Phytase-Producing Bacteria from Himalayan Soils and Their Effect on Growth and Phosphorus Uptake of Indian Mustard (Brassica juncea) World J. Microbiol. Biotechnol. 2013;29:1361–1369. doi: 10.1007/s11274-013-1299-z. [DOI] [PubMed] [Google Scholar]
- 13.Mehta P., Walia A., Kulshrestha S., Chauhan A., Shirkot C.K. Efficiency of Plant Growth-Promoting P-Solubilizing Bacillus Circulans CB7 for Enhancement of Tomato Growth under Net House Conditions. J. Basic Microbiol. 2015;55:33–44. doi: 10.1002/jobm.201300562. [DOI] [PubMed] [Google Scholar]
- 14.Chen Y., Yang H., Shen Z., Ye J. Whole-Genome Sequencing and Potassium-Solubilizing Mechanism of Bacillus aryabhattai SK1-7. Front. Microbiol. 2022;12:722379. doi: 10.3389/fmicb.2021.722379. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Liu D., Yang Q., Ge K., Hu X., Qi G., Du B., Liu K., Ding Y. Promotion of Iron Nutrition and Growth on Peanut by Paenibacillus illinoisensis and Bacillus sp. Strains in Calcareous Soil. Braz. J. Microbiol. 2017;48:656–670. doi: 10.1016/j.bjm.2017.02.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Verma S., Kumar M., Kumar A., Das S., Chakdar H., Varma A., Saxena A.K. Diversity of Bacterial Endophytes of Maize (Zea Mays) and Their Functional Potential for Micronutrient Biofortification. Curr. Microbiol. 2022;79:6. doi: 10.1007/s00284-021-02702-7. [DOI] [PubMed] [Google Scholar]
- 17.Wang D., Xu Z., Zhang G., Xia L., Dong X., Li Q., Liles M.R., Shao J., Shen Q., Zhang R. A Genomic Island in a Plant Beneficial Rhizobacterium Encodes Novel Antimicrobial Fatty Acids and a Self-Protection Shield to Enhance Its Competition. Environ. Microbiol. 2019;21:3455–3471. doi: 10.1111/1462-2920.14683. [DOI] [PubMed] [Google Scholar]
- 18.Pandin C., Le Coq D., Deschamps J., Vedie R., Rousseau T., Aymerich S., Briandet R. Complete Genome Sequence of Bacillus velezensis QST713: A Biocontrol Agent That Protects Agaricus bisporus Crops against the Green Mould Disease. J. Biotechnol. 2018;278:10–19. doi: 10.1016/j.jbiotec.2018.04.014. [DOI] [PubMed] [Google Scholar]
- 19.Blin K., Shaw S., Steinke K., Villebro R., Ziemert N., Lee S.Y., Medema M.H., Weber T. AntiSMASH 5.0: Updates to the Secondary Metabolite Genome Mining Pipeline. Nucleic Acids Res. 2019;47:W81–W87. doi: 10.1093/nar/gkz310. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Choi J., Nam J., Seo M.-H. Complete Genome Sequence of Bacillus velezensis NST6 and Comparison with the Species Belonging to Operational Group B. amyloliquefaciens. Genomics. 2021;113:380–386. doi: 10.1016/j.ygeno.2020.12.011. [DOI] [PubMed] [Google Scholar]
- 21.Wu G., Liu Y., Xu Y., Zhang G., Shen Q., Zhang R. Exploring Elicitors of the Beneficial Rhizobacterium Bacillus amyloliquefaciens SQR9 to Induce Plant Systemic Resistance and Their Interactions with Plant Signaling Pathways. Mol. Plant-Microbe Interact. 2018;31:560–567. doi: 10.1094/MPMI-11-17-0273-R. [DOI] [PubMed] [Google Scholar]
- 22.Abd El-Daim I.A., Bejai S., Fridborg I., Meijer J. Identifying Potential Molecular Factors Involved in Bacillus amyloliquefaciens 5113 Mediated Abiotic Stress Tolerance in Wheat. Plant Biol. 2018;20:271–279. doi: 10.1111/plb.12680. [DOI] [PubMed] [Google Scholar]
- 23.Li B., Li Q., Xu Z., Zhang N., Shen Q., Zhang R. Responses of Beneficial Bacillus amyloliquefaciens SQR9 to Different Soilborne Fungal Pathogens through the Alteration of Antifungal Compounds Production. Front. Microbiol. 2014;5:636. doi: 10.3389/fmicb.2014.00636. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Li Y., Li X., Liu Y., Wang E.T., Ren C., Liu W., Xu H., Wu H., Jiang N., Li Y., et al. Genetic Diversity and Community Structure of Rhizobia Nodulating Sesbania cannabina in Saline-Alkaline Soils. Syst. Appl. Microbiol. 2016;39:195–202. doi: 10.1016/j.syapm.2016.02.004. [DOI] [PubMed] [Google Scholar]
- 25.Ren C.-G., Bai Y.-J., Kong C.-C., Bian B., Xie Z.-H. Synergistic Interactions between Salt-Tolerant Rhizobia and Arbuscular Mycorrhizal Fungi on Salinity Tolerance of Sesbania Cannabina Plants. J. Plant Growth Regul. 2016;35:1098–1107. doi: 10.1007/s00344-016-9607-0. [DOI] [Google Scholar]
- 26.Dang X., Xie Z., Liu W., Sun Y., Liu X., Zhu Y., Staehelin C. The Genome of Ensifer Alkalisoli YIC4027 Provides Insights for Host Specificity and Environmental Adaptations. BMC Genom. 2019;20:643. doi: 10.1186/s12864-019-6004-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Luo R., Liu B., Xie Y., Li Z., Huang W., Yuan J., He G., Chen Y., Pan Q., Liu Y., et al. SOAPdenovo2: An Empirically Improved Memory-Efficient Short-Read de Novo Assembler. GigaScience. 2012;1:18. doi: 10.1186/2047-217X-1-18. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Wick R.R., Judd L.M., Gorrie C.L., Holt K.E. Unicycler: Resolving Bacterial Genome Assemblies from Short and Long Sequencing Reads. PLoS Comput. Biol. 2017;13:e1005595. doi: 10.1371/journal.pcbi.1005595. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Delcher A.L., Bratke K.A., Powers E.C., Salzberg S.L. Identifying Bacterial Genes and Endosymbiont DNA with Glimmer. Bioinformatics. 2007;23:673–679. doi: 10.1093/bioinformatics/btm009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Bairoch A., Apweiler R. The SWISS-PROT Protein Sequence Database and Its Supplement TrEMBL in 2000. Nucleic Acids Res. 2000;28:45–48. doi: 10.1093/nar/28.1.45. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Finn R.D., Bateman A., Clements J., Coggill P., Eberhardt R.Y., Eddy S.R., Heger A., Hetherington K., Holm L., Mistry J., et al. Pfam: The Protein Families Database. Nucleic Acids Res. 2014;42:D222–D230. doi: 10.1093/nar/gkt1223. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Kanehisa M., Goto S. KEGG: Kyoto Encyclopedia of Genes and Genomes. Nucleic Acids Res. 2000;28:27–30. doi: 10.1093/nar/28.1.27. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Jensen L.J., Julien P., Kuhn M., von Mering C., Muller J., Doerks T., Bork P. EggNOG: Automated Construction and Annotation of Orthologous Groups of Genes. Nucleic Acids Res. 2008;36:D250–D254. doi: 10.1093/nar/gkm796. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Bertelli C., Laird M.R., Williams K.P., Lau B.Y., Hoad G., Winsor G.L., Brinkman F.S.L. IslandViewer 4: Expanded Prediction of Genomic Islands for Larger-Scale Datasets. Nucleic Acids Res. 2017;45:W30–W35. doi: 10.1093/nar/gkx343. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Alikhan N.-F., Petty N.K., Ben Zakour N.L., Beatson S.A. BLAST Ring Image Generator (BRIG): Simple Prokaryote Genome Comparisons. BMC Genom. 2011;12:402. doi: 10.1186/1471-2164-12-402. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Emms D.M., Kelly S. OrthoFinder: Phylogenetic Orthology Inference for Comparative Genomics. Genome Biol. 2019;20:238. doi: 10.1186/s13059-019-1832-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Xiong Q., Liu D., Zhang H., Dong X., Zhang G., Liu Y., Zhang R. Quorum Sensing Signal Autoinducer-2 Promotes Root Colonization of Bacillus Velezensis SQR9 by Affecting Biofilm Formation and Motility. Appl. Microbiol. Biotechnol. 2020;104:7177–7185. doi: 10.1007/s00253-020-10713-w. [DOI] [PubMed] [Google Scholar]
- 38.Xu W., Zhang L., Goodwin P.H., Xia M., Zhang J., Wang Q., Liang J., Sun R., Wu C., Yang L. Isolation, Identification, and Complete Genome Assembly of an Endophytic Bacillus Velezensis YB-130, Potential Biocontrol Agent against Fusarium Graminearum. Front. Microbiol. 2020;11:598285. doi: 10.3389/fmicb.2020.598285. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Weiner R., Langille S., Quintero E. Structure, Function and Immunochemistry of Bacterial Exopolysaccharides. J. Indust. Microbiol. 1995;15:339–346. doi: 10.1007/BF01569989. [DOI] [PubMed] [Google Scholar]
- 40.Romero D., Aguilar C., Losick R., Kolter R. Amyloid Fibers Provide Structural Integrity to Bacillus subtilis Biofilms. Proc. Natl. Acad. Sci. USA. 2010;107:2230–2234. doi: 10.1073/pnas.0910560107. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Hobley L., Ostrowski A., Rao F.V., Bromley K.M., Porter M., Prescott A.R., MacPhee C.E., Van Aalten D.M.F., Stanley-Wall N.R. BslA Is a Self-Assembling Bacterial Hydrophobin That Coats the Bacillus Subtilis Biofilm. Proc. Natl. Acad. Sci. USA. 2013;110:13600–13605. doi: 10.1073/pnas.1306390110. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Stanley N.R., Lazazzera B.A. Defining the Genetic Differences between Wild and Domestic Strains of Bacillus subtilis That Affect Poly-Gamma-DL-Glutamic Acid Production and Biofilm Formation. Mol. Microbiol. 2005;57:1143–1158. doi: 10.1111/j.1365-2958.2005.04746.x. [DOI] [PubMed] [Google Scholar]
- 43.Shao J., Li S., Zhang N., Cui X., Zhou X., Zhang G., Shen Q., Zhang R. Analysis and Cloning of the Synthetic Pathway of the Phytohormone Indole-3-Acetic Acid in the Plant-Beneficial Bacillus amyloliquefaciens SQR9. Microb. Cell Fact. 2015;14:130. doi: 10.1186/s12934-015-0323-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Roy M.P., Datta S., Ghosh S. A Novel Fxtracellular Low-Temperature Active Phytase from Bacillus aryabhattai RS1 with Potential Application in Plant Growth. Biotechnol. Prog. 2017;33:633–641. doi: 10.1002/btpr.2452. [DOI] [PubMed] [Google Scholar]
- 45.Bae S.-J., Kim S., Park H.J., Kim J., Jin H., Kim B., Hahn J.-S. High-Yield Production of (R)-Acetoin in Saccharomyces Cerevisiae by Deleting Genes for NAD(P)H-Dependent Ketone Reductases Producing Meso-2,3-Butanediol and 2,3-Dimethylglycerate. Metab. Eng. 2021;66:68–78. doi: 10.1016/j.ymben.2021.04.001. [DOI] [PubMed] [Google Scholar]
- 46.Wilson D.N. Ribosome-Targeting Antibiotics and Mechanisms of Bacterial Resistance. Nat. Rev. Microbiol. 2014;12:35–48. doi: 10.1038/nrmicro3155. [DOI] [PubMed] [Google Scholar]
- 47.Koumoutsi A., Chen X.-H., Henne A., Liesegang H., Hitzeroth G., Franke P., Vater J., Borriss R. Structural and Functional Characterization of Gene Clusters Directing Nonribosomal Synthesis of Bioactive Cyclic Lipopeptides in Bacillus amyloliquefaciens Strain FZB42. J. Bacteriol. 2004;186:1084–1096. doi: 10.1128/JB.186.4.1084-1096.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Xia L., Miao Y., Cao A., Liu Y., Liu Z., Sun X., Xue Y., Xu Z., Xun W., Shen Q., et al. Biosynthetic Gene Cluster Profiling Predicts the Positive Association between Antagonism and Phylogeny in Bacillus. Nat. Commun. 2022;13:1023. doi: 10.1038/s41467-022-28668-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The assembled genome sequences for strain SC60 were uploaded to the NCBI GenBank, project number PRJNA716758.