Skip to main content
Frontiers in Microbiology logoLink to Frontiers in Microbiology
. 2021 Jan 15;11:618415. doi: 10.3389/fmicb.2020.618415

Genomic Insights Into the Antifungal Activity and Plant Growth-Promoting Ability in Bacillus velezensis CMRP 4490

Gustavo Manoel Teixeira 1, Mirela Mosela 1, Maria Luiza Abreu Nicoletto 1, Renan Augusto Ribeiro 2, Mariangela Hungria 2, Khamis Youssef 3, Allan Yukio Higashi 4, Silas Mian 4, André Sampaio Ferreira 4, Leandro Simões Azeredo Gonçalves 4, Ulisses de Padua Pereira 5, Admilton Gonçalves de Oliveira 1,6,*
PMCID: PMC7844144  PMID: 33519779

Abstract

The main objective of this study was to evaluate Bacillus velezensis strain CMRP 4490 regarding its ability to inhibit soil-borne plant pathogens and to increase plant growth. The study included evaluation of in vitro antifungal control, sequencing the bacterial genome, mining genes responsible for the synthesis of secondary metabolites, root colonization ability, and greenhouse studies for the assessment of plant growth–promoting ability. The strain was obtained from soil samples in the north of Paraná in Brazil and was classified as a B. velezensis, which is considered a promising biological control agent. In vitro assay showed that B. velezensis CMRP 4490 presented antagonistic activity against Sclerotinia sclerotiorum, Macrophomina phaseolina, Botrytis cinerea, and Rhizoctonia solani with a mycelial growth inhibition of approximately 60%, without any significant difference among them. To well understand this strain and to validate its effect on growth-promoting rhizobacteria, it was decided to explore its genetic content through genome sequencing, in vitro, and greenhouse studies. The genome of CMRP 4490 was estimated at 3,996,396 bp with a GC content of 46.4% and presents 4,042 coding DNA sequences. Biosynthetic gene clusters related to the synthesis of molecules with antifungal activity were found in the genome. Genes linked to the regulation/formation of biofilms, motility, and important properties for rhizospheric colonization were also found in the genome. Application of CMRP 4490 as a coating film on soybean increased from 55.5 to 64% on germination rates when compared to the control; no differences were observed among treatments for the maize germination. The results indicated that B. velezensis CMRP 4490 could be a potential biocontrol agent with plant growth–promoting ability.

Keywords: root colonization ability, biosynthetic gene clusters, soilborne plant pathogens, plant-growth promoting rhizobacteria, biocontrol

Introduction

The use of elite free-living rhizospheric microorganisms has been considered an important strategy for disease management in several crops and has earned strength in the last decade (Chen et al., 2009a; Mizuhara et al., 2011; Rückert et al., 2011; Sibponkrung et al., 2017; Liu et al., 2018). Among these soil microorganisms, the PGPR (plant growth–promoting rhizobacteria) has gained attention for their root colonization ability, high survivability, and multiplicity in root surroundings, favoring plant growth and inhibition of phytopathogens (Beneduzi et al., 2012). Based on their relationship with the plants, PGPR has been split into symbiotic and free-living; Pseudomonas and Bacillus have been widely reported as free-living microorganisms, whereas rhizobia have been considered as symbiotic plant growth promoters (Verma et al., 2019).

Different properties including the ability to form endospore, to produce a large variety of antibiotics, and to promote plant growth have recognized the genus Bacillus as a promising biological control agent (Podile and Kishore, 2006), being able to induce systemic defenses against diseases (Bloemberg and Lugtenberg, 2001; Beneduzi et al., 2012; Zhang et al., 2015) due to a high diversity of synthetized molecules with antimicrobial activity (Yoo et al., 2006; Rückert et al., 2011; Ji et al., 2013; Bleich et al., 2015; Zhang et al., 2015; Xu et al., 2016; Lim et al., 2017). In Bacillus, genes responsible for the synthesis of secondary metabolites are present in gene clusters [biosynthetic gene clusters (BGCs)] and compose a substantial part of the genome. Large-scale studies aiming to comprehend the diversity of BGCs and their roles on interaction/development of Bacillus suggest that conserved BGCs might be related to physiological regulations, whereas the less preserved and more diverse clusters are linked with the interaction with other organisms (Cimermancic et al., 2014; Grubbs et al., 2017). Biofilm formation has also been considered as another important property of microbial biocontrol agents (Bais et al., 2004; Fan et al., 2011).

Our objective was to evaluate the potential of Bacillus velezensis strain CMRP 4490 as favoring plant growth and inhibition of soil-borne plant pathogens. The study included in vitro evaluation of the control, sequencing the bacterial genome, mining genes responsible for the synthesis of secondary metabolites, root colonization ability, and greenhouse studies to investigate potential PGPR ability.

Materials and Methods

Identification of the Isolate and Phenotypic Characterization

LABIM 22 strain was originally isolated from a soil located at 23°19′26.2″S, 51°11′50.5″W, in Londrina State University (UEL), Paraná, Brazil. The strain was maintained at the Laboratory of Microbial Biotechnology at UEL and was also deposited as strain CMRP4490 at the “Coleções Microbiológicas da Rede Paranaense (CMRP)” of the Federal University of Paraná, Curitiba, Brazil. Gram staining was performed using a Gram-stain kit for morphology visualization and cell wall definition. Endospore formation was observed using the Wirtz-Conklin method. Scanning electron microscopy (SEM) was used to visualize the cell morphology and endospores.

Complete Genome Sequencing and Assembly

For complete genome sequencing, CMRP 4490 was cultivated in LB (Luria Bertani Broth, Neogen Corporation, United States) at 150 rpm at 28°C for 48 h. DNA extraction was obtained with the Gentra Puregene Genomic DNA kit, Qiagen Brazil, according to the manufacturer’s procedure, and quantified. Sequencing was carried on the Illumina MiSeq platform, using a MiSeq version 3 reagent kit (600-cycle, Illumina, Brazil) at the Soil Biotechnology Laboratory in Embrapa Soja, Londrina, Paraná, Brazil. The reads’ quality and the trimming parameters were observed and chosen using FastQC, setting a threshold Phred score of 30, with several trimming parameters to obtain the best data possible for de novo assembly (Leggett et al., 2013; Bolger et al., 2014). A series of de novo assemblies were carried out with different software (SPAdes, Velvet, IDBA hybrid and CLC Genomic Workbench 11) (Zerbino and Birney, 2008; Peng et al., 2010), and the assemblies were compared with QUAST (Gurevich et al., 2013). Metrics including total alignment size, number of contigs, biggest contig, N50 values, and numbers of genes according to the reference genome provided on QUAST were used to choose the best assembly. Contigs were aligned with a reference genome using the webserver CONTIGuator (Galardini et al., 2011), and raw reads from the sequencing were mapped against the scaffolds generated (Langmead and Salzberg, 2012), and the ones with low read count to support the sequence were discarded. Gaps within the scaffold were first treated with the module GapCloser (Luo et al., 2012) followed by manual curation with reading mapping using Bowtie2 and gap-filling using CLC Genomics Workbench 11 GUI (Qiagen, United States). Genome start was determined by comparison with the reference strain B. velezensis Bac57 considering the gene dnaA as the first gene. Genome annotation was realized using the RAST platform (Aziz et al., 2008), and coding sequence (CDS) were predicted and classified into subsystems.

Representation of Circularized Genome and Secondary Metabolites Cluster Prediction

The genome of strain CMRP 4490 was represented circularly and compared with other reference genomes using the BRIG (BLAST Ring Image Generator) software (Alikhan et al., 2011). The webserver antiSMASH combines different databases of genetic data, antimicrobial molecules, and BGCs to predict the position and possible function of the clusters (Blin et al., 2019). The analysis was carried out with the final fasta file of CMRP 4490.

Phylogenomic Comparison and Tree

For species determination, ANI (Average nucleotide Identity) and dDDH (digital DNA-DNA hybridization) between other Bacillus spp. were determined using orthoANI (Lee et al., 2016) and Genome-to-Genome Distance Calculator (GGDC) (Meier-Kolthoff et al., 2013), respectively. Using the Gegenees software, whole-genome comparisons were made with CMRP 4490 and other closely related strains (Agren et al., 2012). Data from Gegenees were exported to SplitsTree for tree confection using the UPGMA method (Legendre and Legendre, 2012).

In vitro Antifungal Assays

For the antifungal activity analysis, dual culture assays were carried out. For the strain’s activation, CMRP 4490 was cultured in LBA (Luria Bertani Agar, Neogen Corporation, United States) at 28°C for 24 h. Then, CMRP 4490 was inoculated, using an inoculation loop, at four points at the edges of plates containing PDA medium (Potato Dextrose Agar, Neogen Corporation, United States). On the center of the Petri dish, a 6-mm mycelial plug taken from the edge of actively growing colonies of three phytopathogenic fungi (Sclerotinia sclerotiorum, Macrophomina phaseolina, Botrytis cinerea, and Rhizoctonia solani) was placed. The experiment was incubated at 25°C with a 12-h/12-h photoperiod for 7 days. For comparison purposes, positive control was performed with only the mycelial disc at the center of the Petri dish incubated under the same conditions. Growth was calculated as the average of the two orthogonal diameters (mm), and growth inhibition was determined using the following formula:

MGI%=[cd-tdcd]×100 (1)

where cd = diameter in control, td = diameter in treatment, and MGI = mycelial growth inhibition.

Biofilm Formation Related Genes

After genome annotation, a local BLASTN using a customized database containing the CMRP 4490 genome was made using as query sequences a list of genes directly or indirectly related to biofilm formation/regulation found on SubtWiki and other articles (Robertson et al., 1989; Strauch et al., 1990, 2007; Msadek et al., 1991; Kobayashi, 2007; Chu et al., 2008; Penha et al., 2020) related to biofilms of Bacillus subtilis.

Swarming Motility and Pellicle Formation Assay

This ability was evaluated by spreading the bacterium on tryptic soy agar plates 0,85% (TSA, Acumedia, United States). An overnight culture was prepared and adjusted to 0.5 on the McFarland scale (1.5 × 108 CFU mL–1), and 10 μL of this inoculum was placed in the middle of a 60-mm Petri dish. The ability to colonize the whole surface of the plate was evaluated. For pellicle formation, a 24-well plate with 2 mL of tryptic soy broth medium (Acumedia, United States) was prepared and inoculated with 10 μL of an overnight culture adjusted to 0.5 on the McFarland scale. Digital pictures were taken to evaluate the pellicle formation capacity.

Root Colonization Capacity With SEM

To analyze the CMRP 4490 colonization capacity, maize and soybean seeds were surface-disinfected by immersion in 95% (vol/vol) ethanol solution for 30 s, followed by soaking in 0.5% NaOCl for 10 min, and washed six times with sterile deionized water. The seeds were treated with lyophilized cell cultures at three different concentrations (100, 200, and 300 g of lyophilized cell culture for 100 kg of seeds). The commercial product Presence® (FMC Corporation containing B. subtilis strain FMCH002 and Bacillus licheniformis strain FMCH001) was used as a positive control (200 g for 100 kg of seeds). Negative control with non-treated surface-disinfected seeds was included. The seeds were treated in a Becker (600 mL for 100 kg of seeds), followed by agitation for homogenization for 1 min. Seeds were incubated for 7 days on a germination paper moistened with sterilized distilled water and incubated in a growth chamber at 25°C with 70% RH. On day 0, four seeds of each treatment were picked for sample preparation for SEM analysis. After 7 days, four germinated seeds were used from each treatment for sample preparation focusing on the radicular area. Samples were fixed with glutaraldehyde 2.5% and sodium cacodylate buffer at 0.1 M for 24 h and then dehydrated on increasing alcohol concentrations for 15 min at each concentration (30, 50, 70, 90, and 100%). Finally, the samples were critical-point-dried with CO2 (BALTEC CPD 030 Critical Point Dryer), attached to a metal stub and covered with gold (BALTEC SDC 050 Sputter Coater) for SEM visualization (FEI Quanta 200, Netherlands).

Germination and Growth Promotion on Zea Mays and Glycine Max

The following treatments were evaluated: T1: negative control (without application of the cells); T2: commercial product Presence® (200 g for 100 kg of seeds); and T3, T4, and T5: B. velezensis strain CMRP 4490 (100, 200, and 300 g, respectively, of lyophilized cell culture for 100 kg of seeds). The maize and soybean cultivars used were BALU 388 VIP3, and BMX Potência RR, respectively. For the preparation of lyophilized cells, strain CMRP 4490 was cultivated for preinoculum preparation on a saline solution (0.85% sodium chloride) and adjusted to 0.5 on the MacFarland scale. For inoculum preparation, 30 μL of this solution was added to an Erlenmeyer flask of 125 mL containing 30 mL of LB broth and incubated at 28°C for 24 h at 125 rpm (Orbital Shaker Thoth 6430, Brazil). For fermentation, 4 μL of the inoculum was added to 400 mL of formulated medium (patent applications BR 10 2020 013481 7) on 1,000 mL Erlenmeyer flasks and incubated for 72 h at 28°C and 200 rpm. The content of the flasks was frozen at −80°C and lyophilized at −60°C to obtain a powder containing CMRP 4490 metabolites and spores at 1 × 1010 CFU/g.

For the germination and growth-promoting experiments, the seeds were initially disinfected by immersion in 95% (vol/vol) ethanol solution for 30 s, soaked in 0.5% NaOCl for 10 min, and then washed six times with sterile deionized water. In a beaker, the seeds were treated with three different concentrations of lyophilized cells following the recommended of 600 mL for 100 kg of seeds, and the Becker was agitated manually for 1 min for homogenization.

To evaluate the germination, 50 seeds per treatment were placed on germination paper moistened with sterilized distilled water and incubated in a growth chamber at 25°C ± 2°C and 70% relative humidity for 7 days. A completely randomized statistical design with four replicates was used.

To evaluate the growth promoting, the treated seeds were spread on 900 mL Styrofoam pots with sand, leaving three plants for each pot. Fifteen days after sowing, the seedlings were scanned at 300 dpi, and the images were treated and analyzed with the software GiARoots (Galkovskyi et al., 2012). The total root surface (cm3) and total root length (mm) were evaluated. Then, seedling shoots and roots were separated and oven-dried separately under forced ventilation at 60°C for 72 h to determine shoot and root dry weight (g). For the experiment on growth promotion, a completely randomized design with six replicates was used.

All data were submitted to analysis of variance (ANOVA), and means were compared using Tukey test (p ≤ 0.05). All data were analyzed using R1 with the agricolae package (De Mendiburu and Simon, 2015).

Results

Phenotypical Characterization

Gram staining showed that CMRP 4490 is a Gram-positive rod-shaped bacterium and produces endospores positioned at the terminal part of the cellule. The rod-shaped morphology, cell association, and the endospore were shown by SEM (Supplementary Figure 1).

Genome Assembly and Annotation

Following the proposed strategy, CLC Genomics Workbench 11 and IDBA Hybrid have shown the best results concerning assembly metrics. A BLASTN was carried out using the biggest contig to find a reference genome for the CONTIGuator step. The strain Bac57 of B. velezensis (NZ_CP033054.1) was selected to align the contigs and generate the pseudocontig (scaffold). The scaffold contained 64 gaps that were primarily treated with GapCloser (Kremer et al., 2017) and then manually curated using Bowtie2 and CLC Genomics Workbench 11. When closed, the genome showed a 99.03% rate of alignment of the reads, a size of 3,996.396 bp. Genome annotation showed that the genome possesses a GC content of 46.4%, 4,042 CDS being 21 of those related to rRNA and 85 tRNA sequences. The sequence was deposited at the GenBank and received the accession number CP045993 (Table 1).

TABLE 1.

Features of B. velezensis CMRP 4490 genome.

Genome size (bp) 3,996,396
GC content (%) 46.4
Plasmid 1
Total predicted CDS 4,042
rRNA operons 21
tRNA operons 85
Read alignment 99.03%
Access genome n° GenBank CP045993
Access plasmid n° GenBank CP061026

Strain Identification and Phylogenomic Analysis

When compared to several strains, including type strains, of three main species from the B. subtilis group, the ANI and dDDH indicated that closer similarity of strain CMRP 4490 went with B. velezensis Bac57, of 99.26 and 94.30%, respectively (Table 2). Other strains showing high similarity with CMRP 4490 (ANI, and dDDH, respectively) were B. velezensis S141 (98.24%, 84.90%), B. velezensis NKG-1 (98.19%, 84.70%), B. velezensis type strain FZB42 (98.23%, 85.70%), and B. velezensis QST713 (98.30%, 85.10%), above the threshold for species delineation. When compared to B. amyloliquefaciens type strain DSM7(T), the values of 93.67% for ANI and 56% for dDDH indicate that CMRP 4490 and type strain DSM7(T) belong to different species; this classification is important for this group because of the inconsistent delimitation over the years (Kim et al., 2015; Dunlap et al., 2016; Fan et al., 2017). A lower similarity of CMRP 4490 was shown with B. subtilis D12-5 and B. subtilis subsp. subtilis type strain 168 (80.36%, 20.80%, and 80.36%, 20.90%, respectively). Because of the comparisons made with Gegenees and orthoANI/GGDC, CMRP 4490 is located within a cluster containing most of the B. velezensis species (Figure 1).

TABLE 2.

Genome comparison of CMRP 4490 with other Bacillus species.

Strains Accession n° on GenBank dDDH% ANI (%) GC (%) Bp (Gb) Source
B. velezensis
CMRP 4490 CP045993 100 100 46.40 3.99 Soil
S141 AP018402.1 84.90 98.24 46.50 4.03 Soybean rhizosphere (Sibponkrung et al., 2017)
NKG-1 CP024203.1 84.70 98.19 46.30 4.19 Volcanic soils at the Changbai mountains (Ge et al., 2016)
Bac57 CP033054.1 94.30 99.26 45.89 4.23 Red Sea lagoon
LABIM40 CP025079.1 88.10 98.22 46.50 3.97 Contaminant (Baptista et al., 2018)
FZB42 CP000560.2 85.70 98.23 46.50 3.91 Soil (Chen et al., 2009a)
QST713 CP025079 85.10 98,30 45.90 4.23 Commercial product Bayer® (Pandin et al., 2010)
B. amyloliquefaciens
Y2 NC_017912.1 92.90 99.15 45.90 4.23 Wheat Rhizosphere (Hao et al., 2012)
DSM7(T) NC_014551.1 56.00 93.67 46.10 3.98 Not specified (Rückert et al., 2011)
MT45 CP011252.1 56.00 94,13 46.10 3.89 Not specified
B. subtilis
D125 CP020102.1 20.80 80.36 43.60 4.14 Soil (Niazi et al., 2014)
168 NC_000964.3 20.90 80.36 43.50 4.21 Type strain (Kunst et al., 1997)
B. cereus
FRI-35 CP003747.1 39.30 68.10 35.45 5.38 Not specified

dDDH, digital DNA-DNA hybridization; ANI, average nucleotide identity, GC, content of guanine and cytosine on the genome; Bp, genome size in gigabases (106).

FIGURE 1.

FIGURE 1

Phylogenomic tree representing the similarity between strains from the B. subtilis group. The matrix was generated by Gegenees and exported to SplitsTree. The most similar strains to CMRP 4490 belonging to the B. velezensis species were highlighted with green color. In yellow are the B. amyloliquefaciens species, less similar to CMRP 4490, and highlighted in red are the B. subtilis species with a B. cereus FRI35 as an extern group.

antiSMASH Analysis of Secondary Metabolism

The webserver antiSMASH 5.1.0 found 13 BGCs on the CMRP 4490 genome (Table 3). Clusters were also represented in the genome circular image (Figure 2). Among the 13 clusters, 8 showed similarity with BGCs already described on the MiBiG (Medema et al., 2015). They were linked to the synthesis of surfactin, butirosin A/B, macrolactin H, bacillaene, fengycin, difficidin, bacillibactin, and bacilysin. Five of the 13 clusters did not show any similarity clusters in the database.

TABLE 3.

Biosynthetic Gene Clusters (BGCs) found within CMRP 4490 genome using the webserver antiSMASH 5.1.0.

Cluster Type From (pb) To (pb) Most similar known cluster Similarity
1 NRPS 556,245 620,583 Surfactin NRP: lipopeptide 82%
2 Phosphonate 855,967 896,851
3 PKS-like 1,173,665 1,214,909 Butirosin A/butirosin B Saccharide 7%
4 Terpene 1,307,518 1,324,794
5 TransAT-PKS 1,631,362 1,717,721 Macrolactin H Polyketide 100%
6 TransAT-PKS, T3PKS, TransAT-PKS-like, NRPS 1,943,834 2,052,707 Bacillaene Polyketide + NRP 100%
7 NRPS, transAT-PKS, beta-lactone 2,123,165 2,259,899 Fengycin NRP 100%
8 terpene 2,283,957 2,305,840
9 T3PKS 2,381,461 2,422,561
10 TransAT-PKS-like, transAT-PKS 2,537,196 2,643,371 Difficidin Polyketide + NRP 100%
11 NRPS, bacteriocin 3,272,003 3,322,513 Bacillibactin NRP 100%
12 NRPS 3,599,816 3,665,158
13 other 3,867,578 3,908,996 Bacilysin Other 100%

NRPS, non-ribosomal peptide synthetase; NRP, non-ribosomal peptide. PKS, polyketide synthetase. AT, acetyltransferase; T3PKS, type 3 Pks.

FIGURE 2.

FIGURE 2

Circular representation of the genome of B. velezensis strain CMRP 4490 using the program BRIG. From the inside to the outside the legends are as follows: (Mizuhara et al., 2011) GC content, (Chen et al., 2009a) GC skew, (Sibponkrung et al., 2017) BGCs position on the genome indicated by antiSMASH (Bloemberg and Lugtenberg, 2001; Podile and Kishore, 2006; Rückert et al., 2011; Beneduzi et al., 2012; Zhang et al., 2015; Liu et al., 2018; Verma et al., 2019), respectively, LABIM40, FZB42, S141, QST713, Bac57, NKG-1, and Y2.

In vitro Antifungal Assays

The direct antagonistic activity of strain CMRP 4490 is shown in Figure 3. The strain showed antifungal activity against S. sclerotiorum, M. phaseolina, B. cinerea, and R. solani with an MGI of approximately 60%, without any significant difference among them. No contact is observed between the two microorganisms, indicating a clear antagonistic effect by CMRP 4490.

FIGURE 3.

FIGURE 3

Mycelial growth inhibition (%) for S. sclerotiorum, M. phaseolina, B. cinerea, and R. solani by B. velezensis strain CMRP 4490. The data are represented by the gray bar graph with their respective standard deviation values.

Genes Related to Biofilm Formation/Regulation and in vitro Assays

A series of genes directly or indirectly related to the biofilm production and root colonization were found on the CMRP 4490 genome (Supplementary Table 1). Key genes such as spo0A (99% of similarity with genes obtained on the SubtWiki database), abrB (91%), sinR (97%), degU (86%), and degQ (87%) were found within the genome using BLASTN. Important operons, such as epsA-O (∼99%), sfrAA-AC (79%, 75%, 87%) and yqxX-sipW-tasA (99%, 99%, 99%), were also found on the chromosome sequence. In vitro assays showed that CMRP 4490 was competent at biofilm formation, and its motility capacity and pellicle formation ability are shown in Supplementary Figure 2. For the motility test, it was observed that the cell inoculum starting in the middle of the Petri dish was able to grow over the whole surface of the TSA 0,8% medium (Supplementary Figure 2A). Pellicle formation on the air–liquid interface is visible in Supplementary Figure 2B, where a thick layer, resulting from the cell growth, covers the whole air–liquid surface on the well. With these results, we had an insight into the interaction of genes related to root colonization and biofilm formation, and those relations are important for future studies aiming to genetically regulate CMRP 4490 root colonization capacity through genes associated with this pathway (Figure 4).

FIGURE 4.

FIGURE 4

Representation of the main genes found in the genome of B. velezensis strain CMRP 4490 related to the antifungal activity and sporulation inducing the biofilm formation/regulation, properties impacting root colonization. Arrows indicate positive regulation, and “T” bars indicate repression of the gene expression.

Root Colonization on in vivo Assays

Strain CMRP 4490 was able to attach and multiply on the seed surface of both maize and soybean (Figures 5, 6), important features for the introduction of the bacteria into the rhizosphere (Danhorn and Fuqua, 2007), as well as being able to colonize the initial root formation on the seedlings. The first column indicates seeds on the first day of treatment, the second shows the seeds after 7 days of growth, and the third shows the initial root formation from the seedlings. On both figures from A to C T1 is shown, from D to F are T2 with the commercial biological product Presence® at 200 g/100 kg of seeds, from G to I the first treatment with CMRP 4490 cells at 100 g/100 kg of seeds (T3), from J to L the second treatment with 200 g/100 kg (T4), and from M to O the third treatment with 300 g/100 kg (T5). With the three concentrations tested, CMRP 4490 colonized the root at various parts of the tissue and formed cell aggregates. A primary biofilm formation can be spotted at items I and L in Figure 5 covering a group of cells attached to the root. The results corroborate with data found on CMRP 4490 genome and the in vitro assays proving its mobility and biofilm formation capacity.

FIGURE 5.

FIGURE 5

Scanning electron microscopy of maize seeds’ surfaces and roots colonization by B. velezensis strain CMRP 4490. The first column shows the seeds’ surfaces on all treatments on the first day (3,000×), the second column shows the seeds’ surfaces after 7 days, the third column shows roots amplifications after 7 days (2,000×). (a–c) Negative control without biological products. (d–f) Positive control treated with Presence® (200 g/100 kg of seeds). (g–i) Treatment with B. velezensis strain CMRP 4490 lyophilized (100 g/100 kg of seeds). (j–l) Treatment with B. velezensis strain CMRP 4490 lyophilized (200 g/100 kg of seeds). (m–o) Treatment with B. velezensis strain CMRP 4490 lyophilized (300 g/100 kg of seeds). All treatments with B. velezensis strain CMRP 4490 lyophilized (g,j,m) exhibited cells attached to seed surfaces and exhibited successfully maize root colonization (h,k,n). The B. velezensis strain CMRP 4490 concentration of viable spores per gram of lyophile was 1 × 1010 CFU/g.

FIGURE 6.

FIGURE 6

Scanning electron microscopy of soybean seeds’ surfaces and roots colonization by B. velezensis strain CMRP 4490. The first column shows the seeds’ surfaces on all treatments on the first day (3,000×), the second column shows the seeds’ surfaces after 7 days, the third column shows roots amplifications after 7 days (2,000×). (a–c) Negative control without biological products. (d–f) Positive control treated with Presence® (200 g/100 kg of seeds). (g–i) Treatment with B. velezensis strain CMRP 4490 lyophilized (100 g/100 kg of seeds). (j–l) Treatment with B. velezensis strain CMRP 4490 lyophilized (200 g/100 kg of seeds). (m–o) Treatment with B. velezensis strain CMRP 4490 lyophilized (300 g/100 kg of seeds). All treatments with B. velezensis strain CMRP 4490 lyophilized (g,j,m) exhibited cells attached to seeds’ surfaces and exhibited successfully maize roots colonization (h,k,n). The B. velezensis strain CMRP 4490 concentration of viable spores per gram of lyophile was 1 × 1010 CFU/g.

Germination and Growth-Promoting Ability

Based on the ANOVA, no differences were observed among treatments for the maize germination parameter but were confirmed for soybean. Soybean germination rates increased with CMRP 4490 treatments (from 55.5 to 64%) when compared to the control (44%) (Table 4). No significant difference between treatments was detected concerning the root and shoot dry weight. However, for the radicular properties, the CMRP 4490 treatments resulted in differences in total root length on both maize and soybean and total root surface area in soybean (Table 4). Total root length in soybean was increased in all treatments with CMRP 4490 when compared to both negative and positive controls, whereas maize plants increased total root length only with the highest concentration of CMRP 4490 (Table 4). For soybeans, all concentrations increased total root length, the total surface area increased on all treatments showing no difference between the CMRP 4490 treatments and the positive control (Table 4).

TABLE 4.

Effect of B. velezensis strain CMRP 4490 inoculation on traits related to germination and growth-promoting in maize and soybean crops.

Treatments Variables1—maize
GERM (%) RDW SDW TRS TRL
Control 94.00 0.3155 0.1883 294.75 213.49b
Presence (200g/100 kg) 97.00 0.3748 0.1851 292.72 217.88b
CMRP 4490 (100 g/100 kg) 97.50 0.3221 0.1834 296.61 214.26b
CMRP 4490 (200 g/100 kg) 99.00 0.3218 0.2137 294.66 218.57b
CMRP 4490 (300 g/100 kg) 97.5 0.3287 0.2068 318.92 252.65a
Treatments Variables1—soybean
GERM (%) RDW SDW TRS TRL

Control 44.00b 0.1203 0.1706 255.27b 145.21b
Presence (200g/100 kg) 61.50a 0.1225 0.2106 280.13ab 158.58b
CMRP 4490 (100 g/100 kg) 64.00a 0.1025 0.1807 324.37a 189.79a
CMRP 4490 (200 g/100 kg) 63.00a 0.1125 0.1862 323.31a 192.86a
CMRP 4490 (300 g/100 kg) 55.50ab 0.1115 0.1810 287.93ab 193.19a

GERM, germination in percentage; RDW, root dry weight (g); SDW, shoot dry weight (g); TRS, total root surface (cm3); and TRL, total root length (mm). 1Means followed by the same letter in the column do not differ by the Tukey test, at a significance level of 5% of probability.

Discussion

Bacillus velezensis CMRP 4490 (LABIM 22) strain was originally isolated from a soil located in Londrina State University (UEL), Paraná, Brazil. In preliminary studies, CMRP 4490 showed a potent antagonism against Fusarium solani 145, F. solani 234, and Fusarium oxysporum f. sp. phaseoli 06 (Higashi, 2020). To determine which are the best conditions for fermentation and production of bioactive by the LABIM22 strain, we studied the best culture medium for the production of antifungal metabolites (patent applications BR 10 2020 013481 7). Aiming to reveal its potential as a biocontrol agent against important phytopathogenic fungi, we investigated the genomic and physiological properties of B. velezensis strain CMRP 4490. More specifically, we sequenced its genome, investigated genes of the secondary metabolism, mining for genes linked to biofilm regulation/formation, and testing its plant growth–promoting ability.

Genomic analysis has revealed that B. velezensis CMRP 4490 possesses specific clusters of genes related to the biosynthesis of secondary metabolites, which play significant roles in both pathogen suppression and plant growth promotion, and to genes related to rhizospheric colonization. Other studies also describe this potential for strains of B. velezensis; as an example, S141 isolate and the reference B. velezensis FZB42 showed the high capacity of growth promotion, mainly on soybean (Chen et al., 2009a; Sibponkrung et al., 2017), suggesting the presence of such a capacity within the CMRP 4490 strain due to the high genomic similarity. In another study, B. velezensis NKG-1 showed antifungal activity in vitro tests, showing antagonism against 13 phytopathogenic fungi (Ge et al., 2016; Liu et al., 2018); its high similarity with CMRP 4490 draws attention to a possible wider range of antifungal activity against fungi not investigated yet. B. subtilis 168 is a model bacterium for biofilm studies, although less similar to CMRP 4490 than B. amyloliquefaciens, its genomic resemblance with CMRP 4490 suggests a potential biofilm formation capacity contained in the genome. All these comparisons made with closely related Bacillus spp. suggested that CMRP 4490 possesses different potentials in its genome that make the strain a good candidate as a biocontrol agent.

Among the great diversity of molecules produced by Bacillus spp., lipopeptides are known for showing antimicrobial activity (Simon et al., 2019). This group of molecules has also been related to root colonization capacity and cell motility when present on the extracellular matrix (Kinsinger et al., 2003; Grubbs et al., 2017), attributed to its capacity of decreasing the superficial tension; besides, surfactins have been related to the induction of systemic resistance by the plant (Ongena et al., 2007). Also, surfactin can induce systemic resistance by the plant against potential phytopathogens (Ongena et al., 2007). This cluster is important because it might be directly related to the antifungal activity shown by CMRP 4490 on the in vitro assays against phytopathogenic fungi, possibly being the target of future in silico studies aiming at its regulatory pathways. Macrolactins represent a group of macrolides found in deep-sea bacteria and have also shown antimicrobial activity (Lu et al., 2008; Sohn et al., 2008) and growth inhibition of melanomas (Gustafson et al., 1989). The seventh cluster found in CMRP 4490 contains all genes related to the biosynthesis of fengycin, a lipopeptide with an antifungal activity that alters the membrane permeability of the target cell causing its death (Vanittanakom et al., 1986; Deleu et al., 2008).

Other studies performed with the reference strain B. velezensis FZB42 associated the antagonistic activity against Erwinia amylovora, the causal agent of fire blight on apples, pears, and some other members of the family Rosaceae (Myung et al., 2016), with the production of difficidin and bacilysin (Chen et al., 2009b). The results obtained herein indicated that two clusters found in the genome of CMRP 4490 genome showed 100% similarity to the database MiBiG of the synthesis of these molecules, with potential against bacterial diseases not explored yet. The 13th cluster showed 100% similarity with a cluster of bacillibactin production, an important siderophore (Dertz et al., 2006; Miethke et al., 2006). Bacillus species able to produce siderophores already have been shown to present antifungal activity (Yu et al., 2011). Five of the 13 clusters identified in strain CMRP 4490 did not show any similarity in the database; therefore, their products are yet to be identified and described, opening opportunities for further studies. Thus, we detected a great quantity of gene clusters relating to synthesis of antimicrobial metabolites, which contained various enzyme-encoding operons for non-ribosomal peptide synthetases and polyketide synthases, as well as clusters with a potential for novelty. These results indicate that B. velezensis strain CMRP 4490 could be a potential biological agent to protect plants. In addition to the results obtained in in silico analyzes, B. velezensis strain CMRP 4490 showed a great antagonism in vitro against S. sclerotiorum, M. phaseolina, B. cinerea, and R. solani. These soil-borne fungi are diverse and difficult to manage in agriculture. Therefore, it is extremely important to develop techniques or products for handling these soil-borne fungal pathogens that cause widespread damage, reducing the yield of many economically important crops. The findings obtained by this study are consistent with other studies for B. velezensis against phytopathogenic fungi (Ge et al., 2016; Xu et al., 2016; Lim et al., 2017).

Another important attribute evaluated in the B. velezensis strain CMRP 4490 genome, very important for the colonization process, were the genes directly or indirectly related to the formation/regulation of biofilm. Some have been detected, such as abrB, a gene repressor that induces the endospore formation (Robertson et al., 1989; Strauch et al., 2007), considered as a key cell physiological state for the formation of complex biofilms. The gene abrB interacts with spoOA, another gene found in the CMRP 4490 genome and whose product has shown an affinity for the promoting region of abrB (Strauch et al., 1990); its putative role as regulator represents an interesting target for regulation strategies. Another gene, degQ has its expression associated with antifungal activity, and mutation implies low production of lipopeptides, the main group of molecules related to the antifungal activity on Bacillus spp. (Ongena and Jacques, 2008). The gene degU was also found in CMRP 4490, and its mutation indicated a putative role in biofilm formation or regulation (Strauch et al., 2007). A repressor found on the genome was sinR, a gene with affinity with the promoting region of the epsA-O operon (Kearns et al., 2004), related to the synthesis of exopolysaccharides, important for biofilm settling on the substrate (Vlamakis et al., 2013). All genes from this operon were present in the genome of CMRP 4490. Another important operon detected was swrA-C, responsible for the swarm that helps bacterial motility, an important property for root colonization. Surfactins support the swarming by decreasing the superficial tension on the extracellular matrix from the biofilm allowing larger mobility to the cells composing the biofilm (Kearns and Losick, 2004). Our results of SEM analysis provided useful information about the root colonization capacity of strain CMRP 4490. The results obtained suggest that B. velezensis CMRP 4490 can also be used as a biocontrol agent applied to the seeds, as it is capable of colonizing the seed surface and can continue its life cycle until initial root formation. The strain is also capable of colonizing and form biofilms (Schroth and Hancock, 1982; Backer et al., 2018). Besides, the motility capacity shown in in vitro assays and the presence of important genes related to the motility capacity CMRP 4490 suggest that the genes related to these properties found in the genome mining are functional and give the strains the ability to colonize roots (de Weert et al., 2002; Kinsinger et al., 2003). Hence, direct seed coating seems to have beneficial effects on seed germination. This could be due to the ability of the selected strain to produce auxin-like phytohormones. Many reports are showing that Bacillus spp. can enhance plant growth by producing different plant growth hormones such as gibberellins, indole acetic acid, and cytokinins (Arkhipova et al., 2005; Radhakrishnan and Lee, 2016). It has been also reported that some Bacillus spp. can produce more than one phytohormone, with beneficial effects on plants. Further analyses are still needed to better comprehend the positive biological effect of CMRP 4490 on germination promotion. The increase in total root length induced by CMRP 4490 on maize roots was achieved only with the highest concentrations, suggesting that higher doses are needed. Besides, the increment of total root length on soybean crops with all CMRP 4490 treatments highlights its potential as a root growth inducer for this crop. Analyzing the soybean root total surface area, it is noted that the higher product concentration slightly decreased root growth, a common response to excess of phytohormones. The obtained results support the usage of CMRP 4490 based products as a PGPR mainly for root properties.

Conclusion

With the presented work, it was possible to affirm that B. velezensis CMRP 4490 harbors a biotechnological potential because of its high genetic similarity with other strains from the Bacillus genus already used as biocontrol control agents and already established on the market. This potential is reinforced by the presence of genes found in the genome that were directly and indirectly associated with biofilm formation/regulation and by the exhibited capacity of colonizing roots in vivo. The study of the genetic machinery linked with the secondary metabolism also strengthens the biotechnological potential of this strain by finding BGCs that are related to the antifungal activity. Besides, BGCs did not have any similarity with others described on the database that can be targets of in silico studies focusing on the diversity of molecules that can be synthetized by CMRP 4490 during its secondary metabolism. Finally, its growth-promoting capacity described in this work classifies CMRP 4490 as a PGPR, an important characteristic of a bacterium that is aimed to be used as a potential plant growth–promoting agent.

Accession Numbers

The whole genome is deposited at the DDBJ/EMBL/GenBank. BioProject (PRJNA588786), BioSample (SAMN13256649), and Accession (CP045993).

Data Availability Statement

The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: https://www.ncbi.nlm.nih.gov/genbank/, CP045993.1.

Author Contributions

GT and AH designed the experiments. GT completed most of the experiments. MM, MN, RR, SM, and AF did a small number of experiments and provided experimental methods. LG carried out the statistical analyses and organized the data. GT and AO created the figures. AO supervised the research design. MH, KY, LG, UP, and AO revised the manuscript. All authors contributed to the article and approved the submitted version.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

The authors are thankful of Laboratório de Microscopia Eletrônica e Microanálise (LMEM/UEL), Central Multiusuária de Laboratórios de Pesquisa (CMLP), Londrina State University, Paraná, Brazil and Laboratório de Biotecnologia do Solo, Empresa Brasileira de Pesquisa Agropecuária (Embrapa Soja), Londrina, Brazil.

Funding. AO was supported by a research fellowship from CNPq No. 315593/2018-0.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmicb.2020.618415/full#supplementary-material

References

  1. Agren J., Sundström A., Håfström T., Segerman B., Ågren J., Sundström A., et al. (2012). Gegenees: fragmented alignment of multiple genomes for determining phylogenomic distances and genetic signatures unique for specified target groups. PLoS One 7:e39107. 10.1371/journal.pone.0039107 [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Alikhan N.-F. F., Petty N. K., Ben Zakour N. L., Beatson S. A. (2011). BLAST ring image generator (BRIG): simple prokaryote genome comparisons. BMC Genomics 12:402. 10.1186/1471-2164-12-402 [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Arkhipova T. N., Veselov S. U., Melentiev A. I., Martynenko E. V., Kudoyarova G. R. (2005). Ability of bacterium Bacillus subtilis to produce cytokinins and to influence the growth and endogenous hormone content of lettuce plants. Plant Soil 272 201–209. 10.1007/s11104-004-5047-x [DOI] [Google Scholar]
  4. Aziz R. K., Bartels D., Best A., DeJongh M., Disz T., Edwards R. A., et al. (2008). The RAST server: rapid annotations using subsystems technology. BMC Genomics 9:75. 10.1186/1471-2164-9-75 [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Backer R., Rokem J. S., Ilangumaran G., Lamont J., Praslickova D., Ricci E. (2018). Plant growth-promoting rhizobacteria: context, mechanisms of action, and roadmap to commercialization of biostimulants for sustainable agriculture. Front. Plant Sci. 871:1473. 10.3389/fpls.2018.01473 [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Bais H. P., Fall R., Vivanco J. M. (2004). Biocontrol of Bacillus subtilis against infection of arabidopsis roots by Pseudomonas syringae is facilitated by biofilm formation and surfactin production. Plant Physiol. 134 307–319. 10.1104/pp.103.028712 [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Baptista J. P., Sanches P. P., Teixeira G. M., Morey A. T., Tavares E. R., Yamada-Ogatta S. F., et al. (2018). Complete genome sequence of Bacillus velezensis LABIM40, an effective antagonist of fungal plant pathogens. Genome Announc. 6:e00595-18. 10.1128/genomeA.00595-18 [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Beneduzi A., Ambrosini A., Passaglia L. M. P. (2012). Plant growth-promoting rhizobacteria (PGPR): their potential as antagonists and biocontrol agents. Genet. Mol. Biol. 35 1044–1051. 10.1590/s1415-47572012000600020 [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Bleich R., Watrous J. D., Dorrestein P. C., Bowers A. A., Shank E. A. (2015). Thiopeptide antibiotics stimulate biofilm formation in Bacillus subtilis. Proc. Natl. Acad. Sci. U.S.A. 112 3086–3091. 10.1073/pnas.1414272112 [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Blin K., Shaw S., Steinke K., Villebro R., Ziemert N., Lee S. Y., et al. (2019). antiSMASH 5.0: updates to the secondary metabolite genome mining pipeline. Nucleic Acids Res. 47 W81–W87. 10.1093/nar/gkz310 [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Bloemberg G. V., Lugtenberg B. J. J. (2001). Molecular basis of plant growth promotion and biocontrol by rhizobacteria. Curr. Opin. Plant Biol. 4 343–350. [DOI] [PubMed] [Google Scholar]
  12. Bolger A. M., Lohse M., Usadel B. (2014). Trimmomatic: a flexible trimmer for illumina sequence data. Bioinformatics 30 2114–2120. 10.1093/bioinformatics/btu170 [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Chen X. H., Koumoutsi A., Scholz R., Schneider K., Vater J., Süssmuth R., et al. (2009a). Genome analysis of Bacillus amyloliquefaciens FZB42 reveals its potential for biocontrol of plant pathogens. J. Biotechnol. 140 27–37. 10.1016/j.jbiotec.2008.10.011 [DOI] [PubMed] [Google Scholar]
  14. Chen X. H., Scholz R., Borriss M., Junge H., Mögel G., Kunz S., et al. (2009b). Difficidin and bacilysin produced by plant-associated Bacillus amyloliquefaciens are efficient in controlling fire blight disease. J. Biotechnol. 140 38–44. 10.1016/j.jbiotec.2008.10.015 [DOI] [PubMed] [Google Scholar]
  15. Chu F., Kearns D. B., McLoon A., Chai Y., Kolter R., Losick R. (2008). A novel regulatory protein governing biofilm formation in Bacillus subtilis. Mol. Microbiol. 68 1117–1127. 10.1111/j.1365-2958.2008.06201.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Cimermancic P., Medema M. H., Claesen J., Kurita K., Wieland Brown L. C., Mavrommatis K., et al. (2014). Insights into secondary metabolism from a global analysis of prokaryotic biosynthetic gene clusters. Cell 158 412–421. 10.1016/j.cell.2014.06.034 [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Danhorn T., Fuqua C. (2007). Biofilm formation by plant-associated bacteria. Annu. Rev. Microbiol. 61 401–422. 10.1146/annurev.micro.61.080706.093316 [DOI] [PubMed] [Google Scholar]
  18. De Mendiburu F., Simon R. (2015). Agricolae-ten years of an open source statistical tool for experiments in breeding, agriculture and biology. PeerJ 3:e1404v1 [Google Scholar]
  19. de Weert S., Vermeiren H., Mulders I. H. M., Kuiper I., Hendrickx N., Bloemberg G. V., et al. (2002). Flagella-driven chemotaxis towards exudate components is an important trait for tomato root colonization by Pseudomonas fluorescens. Mol. Plant Microbe Interact. 15 1173–1180. 10.1094/MPMI.2002.15.11.1173 [DOI] [PubMed] [Google Scholar]
  20. Deleu M., Paquot M., Nylander T. (2008). Effect of fengycin, a lipopeptide produced by Bacillus subtilis, on model biomembranes. Biophys. J. 94 2667–2679. 10.1529/biophysj.107.114090 [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Dertz E. A., Xu J., Stintzi A., Raymond K. N. (2006). Bacillibactin-mediated iron transport in Bacillus subtilis. J. Am. Chem. Soc. 128 22–23. 10.1021/ja055898c [DOI] [PubMed] [Google Scholar]
  22. Dunlap C. A., Kim S.-J., Kwon S.-W., Rooney A. P. (2016). Bacillus velezensis is not a later heterotypic synonym of Bacillus amyloliquefaciens; Bacillus methylotrophicus, Bacillus amyloliquefaciens subsp. plantarum and ‘Bacillus oryzicola’ are later heterotypic synonyms of Bacillus velezensis based on phylogenom. Int. J. Syst. Evol. Microbiol. 66 1212–1217. 10.1099/ijsem.0.000858 [DOI] [PubMed] [Google Scholar]
  23. Fan B., Blom J., Klenk H.-P., Borriss R. (2017). Bacillus amyloliquefaciens, Bacillus velezensis, and Bacillus siamensis form an “operational group B. amyloliquefaciens” within the B. subtilis species complex. Front. Microbiol. 8:22. 10.3389/fmicb.2017.00022 [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Fan B., Chen X. H., Budiharjo A., Bleiss W., Vater J., Borriss R. (2011). Efficient colonization of plant roots by the plant growth promoting bacterium Bacillus amyloliquefaciens FZB42, engineered to express green fluorescent protein. J. Biotechnol. 151 303–311. 10.1016/j.jbiotec.2010.12.022 [DOI] [PubMed] [Google Scholar]
  25. Galardini M., Biondi E. G., Bazzicalupo M., Mengoni A. (2011). CONTIGuator: a bacterial genomes finishing tool for structural insights on draft genomes. Source Code Biol. Med. 6:11. 10.1186/1751-0473-6-11 [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Galkovskyi T., Mileyko Y., Bucksch A., Moore B., Symonova O., Price C. A., et al. (2012). GiA roots: software for the high throughput analysis of plant root system architecture. BMC Plant Biol. 12:116. 10.1186/1471-2229-12-116 [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Ge B., Liu B., Nwet T. T., Zhao W., Shi L., Zhang K. (2016). Bacillus methylotrophicus strain NKG-1, isolated from changbai mountain, china, has potential applications as a biofertilizer or biocontrol agent. PLoS One 11:e0166079. 10.1371/journal.pone.0166079 [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Grubbs K. J., Bleich R. M., Santa Maria K. C., Allen S. E., Farag S., AgBiome Team et al. (2017). Large-scale bioinformatics analysis of bacillus genomes uncovers conserved roles of natural products in bacterial physiology. mSystems 2:e0040-17. 10.1128/mSystems.00040-17 [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Gurevich A., Saveliev V., Vyahhi N., Tesler G. (2013). QUAST: quality assessment tool for genome assemblies. Bioinformatics 29 1072–1075. 10.1093/bioinformatics/btt086 [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Gustafson K., Roman M., Fenical W. (1989). The macrolactins, a novel class of antiviral and cytotoxic macrolides from a deep-sea marine bacterium. J. Am. Chem. Soc. 111 7519–7524. 10.1021/ja00201a036 [DOI] [Google Scholar]
  31. Hao K., He P., Blom J., Rueckert C., Mao Z., Wu Y., et al. (2012). The genome of plant growth-promoting Bacillus amyloliquefaciens subsp. plantarum strain YAU B9601-Y2 contains a gene cluster for mersacidin synthesis. J. Bacteriol. 194 3264–3265. 10.1128/JB.00545-12 [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Higashi A. (2020). Antagonismo da Cepa LABIM22 de Bacillus sp. Frente a Fungos Fitopatógenos e Biocontrole do Mofo Branco em Sementes de Soja. Londrina: Universidade Estadual de Londrina. [Google Scholar]
  33. Ji S. H., Paul N. C., Deng J. X., Kim Y. S., Yun B.-S., Yu S. H. (2013). Biocontrol activity of Bacillus amyloliquefaciens CNU114001 against fungal plant diseases. Mycobiology 41 234–242. 10.5941/MYCO.2013.41.4.234 [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Kearns D. B., Losick R. (2004). Swarming motility in undomesticated Bacillus subtilis. Mol. Microbiol. 49 581–590. 10.1046/j.1365-2958.2003.03584.x [DOI] [PubMed] [Google Scholar]
  35. Kearns D. B., Chu F., Branda S. S., Kolter R., Losick R. (2004). A master regulator for biofilm formation by Bacillus subtilis. Mol. Microbiol. 55 739–749. 10.1111/j.1365-2958.2004.04440.x [DOI] [PubMed] [Google Scholar]
  36. Kim S.-J., Kwon S.-W., Dunlap C. A., Rooney A. P. (2015). Phylogenomic analysis shows that Bacillus amyloliquefaciens subsp. plantarum is a later heterotypic synonym of Bacillus methylotrophicus. Int. J. Syst. Evol. Microbiol. 65 2104–2109. 10.1099/ijs.0.000226 [DOI] [PubMed] [Google Scholar]
  37. Kinsinger R. F., Shirk M. C., Fall R. (2003). Rapid surface motility in Bacillus subtilis is dependent on extracellular surfactin and potassium ion. J. Bacteriol. 185 5627–5631. [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Kobayashi K. (2007). Gradual activation of the response regulator DegU controls serial expression of genes for flagellum formation and biofilm formation in Bacillus subtilis. Mol. Microbiol. 66 395–409. 10.1111/j.1365-2958.2007.05923.x [DOI] [PubMed] [Google Scholar]
  39. Kremer F. S., McBride A. J. A., Pinto L. D. S. (2017). Approaches for in silico finishing of microbial genome sequences. Genet. Mol. Biol. 40 553–576. 10.1590/1678-4685-gmb-2016-0230 [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Kunst F., Ogasawara N., Moszer I., Albertini A. M., Alloni G., Azevedo V., et al. (1997). The complete genome sequence of the Gram-positive bacterium Bacillus subtilis. Nature 390 249–256. 10.1038/36786 [DOI] [PubMed] [Google Scholar]
  41. Langmead B., Salzberg S. L. (2012). Fast gapped-read alignment with Bowtie 2. Nat. Methods 9 357–359. 10.1038/nmeth.1923 [DOI] [PMC free article] [PubMed] [Google Scholar]
  42. Lee I., Kim Y., Park S., Chun J. (2016). “OrthoANI: an improved algorithm and software for calculating average nucleotide identity.” Int. J. Syst. Evol. Microbiol. 66 1100–1103. [DOI] [PubMed] [Google Scholar]
  43. Legendre P., Legendre L. F. J. (2012). Numerical Ecology, 3rd Edn Netherlands: Elsevier. [Google Scholar]
  44. Leggett R. M., Ramirez-Gonzalez R. H., Clavijo B. J., Waite D., Davey R. P. (2013). Sequencing quality assessment tools to enable data-driven informatics for high throughput genomics. Front. Genet. 4:288. 10.3389/fgene.2013.00288 [DOI] [PMC free article] [PubMed] [Google Scholar]
  45. Lim S. M., Yoon M. Y., Choi G. J., Choi Y. H., Jang K. S., Shin T. S., et al. (2017). Diffusible and volatile antifungal compounds produced by an antagonistic bacillus velezensis G341 against various phytopathogenic fungi. Plant Pathol. J. 33 488–498. 10.5423/PPJ.OA.04.2017.0073 [DOI] [PMC free article] [PubMed] [Google Scholar]
  46. Liu B., Ge B., Azhar N., Zhao W., Cui H., Zhang K. (2018). Complete genome sequence of Bacillus methylotrophicus strain NKG-1, isolated from the Changbai Mountains, China. Genome Announc. 6 e1454–e1417. 10.1128/genomeA.01454-17 [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Lu X. L., Xu Q. Z., Shen Y. H., Liu X. Y., Jiao B. H., Zhang W. D., et al. (2008). Macrolactin S, a novel macrolactin antibiotic from marine Bacillus sp. Nat. Prod. Res. 22 342–347. 10.1080/14786410701768162 [DOI] [PubMed] [Google Scholar]
  48. Luo R., Liu B., Xie Y., Li Z., Huang W., Yuan J., et al. (2012). SOAPdenovo2: an empirically improved memory-efficient short-read de novo assembler. Gigascience 1:18. 10.1186/2047-217X-1-18 [DOI] [PMC free article] [PubMed] [Google Scholar]
  49. Medema M. H., Kottmann R., Yilmaz P., Cummings M., Biggins J. B., Blin K., et al. (2015). Minimum information about a biosynthetic gene cluster. Nat. Chem. Biol. 11 625–631. 10.1038/nchembio.1890 [DOI] [PMC free article] [PubMed] [Google Scholar]
  50. Meier-Kolthoff J. P., Auch A. F., Klenk H.-P. P., Göker M. (2013). Genome sequence-based species delimitation with confidence intervals and improved distance functions. BMC Bioinformatics 14:60. 10.1186/1471-2105-14-60 [DOI] [PMC free article] [PubMed] [Google Scholar]
  51. Miethke M., Klotz O., Linne U., May J. J., Beckering C. L., Marahiel M. A. (2006). Ferri-bacillibactin uptake and hydrolysis in Bacillus subtilis. Mol. Microbiol. 61 1413–1427. 10.1111/j.1365-2958.2006.05321.x [DOI] [PubMed] [Google Scholar]
  52. Mizuhara N., Kuroda M., Ogita A., Tanaka T., Usuki Y., Fujita K. I. (2011). Antifungal thiopeptide cyclothiazomycin B1 exhibits growth inhibition accompanying morphological changes via binding to fungal cell wall chitin. Bioorg. Med. Chem. 19 5300–5310. 10.1016/j.bmc.2011.08.010 [DOI] [PubMed] [Google Scholar]
  53. Msadek T., Kunst F., Klier A., Rapoport G. (1991). DegS-DegU and ComP-ComA modulator-effector pairs control expression of the Bacillus subtilis pleiotropic regulatory gene degQ. J. Bacteriol. 173 2366–2377. 10.1128/jb.173.7.2366-2377.1991 [DOI] [PMC free article] [PubMed] [Google Scholar]
  54. Myung I.-S., Lee J.-Y., Yun M.-J., Lee Y.-H., Lee Y.-K., Park D.-H., et al. (2016). Fire blight of apple, caused by Erwinia amylovora, a new disease in Korea. Plant Dis. 100 1774–1774. 10.1094/PDIS-01-16-0024-PDN [DOI] [Google Scholar]
  55. Niazi A., Manzoor S., Asari S., Bejai S., Meijer J., Bongcam-Rudloff E. (2014). Genome analysis of Bacillus amyloliquefaciens Subsp. plantarum UCMB5113: a Rhizobacterium that improves plant growth and stress management. PLoS One 9:e104651. 10.1371/journal.pone.0104651 [DOI] [PMC free article] [PubMed] [Google Scholar]
  56. Ongena M., Jacques P. (2008). Bacillus lipopeptides: versatile weapons for plant disease biocontrol [Internet]. Trends Microbiol. 16 115–125. 10.1016/j.tim.2007.12.009 [DOI] [PubMed] [Google Scholar]
  57. Ongena M., Jourdan E., Adam A., Paquot M., Brans A., Joris B., et al. (2007). Surfactin and fengycin lipopeptides of Bacillus subtilis as elicitors of induced systemic resistance in plants. Environ. Microbiol. 9 1084–1090. 10.1111/j.1462-2920.2006.01202.x [DOI] [PubMed] [Google Scholar]
  58. Pandin C., Le Coq D., Deschamps J., Védie R., Rousseau T., Aymerich S., et al. (2010). Complete genome sequence of Bacillus velezensis QST713: a biocontrol agent that protects Agaricus bisporus crops against the green mould disease. J. Biotechnol. 278 10–19. 10.1016/j.jbiotec.2018.04.014 [DOI] [PubMed] [Google Scholar]
  59. Peng Y., Leung H. C. M., Yiu S. M., Chin F. Y. L. (2010). IDBA – a practical iterative de bruijn graph de novo assembler. Lect Notes Comput. Sci. 6044 426–440. [Google Scholar]
  60. Penha R. O., Vandenberghe L. P. S., Faulds C., Soccol V. T., Soccol C. R. (2020). Bacillus lipopeptides as powerful pest control agents for a more sustainable and healthy agriculture: recent studies and innovations. Planta 251:70. [DOI] [PubMed] [Google Scholar]
  61. Podile A. R., Kishore G. K. (2006). “Plant growth-promoting rhizobacteria,” in Plant-Associated Bacteria. ed. Gnanamanickam S. S. (Berlin: Springer; ), 195–230. [Google Scholar]
  62. Radhakrishnan R., Lee I. J. (2016). Gibberellins producing Bacillus methylotrophicus KE2 supports plant growth and enhances nutritional metabolites and food values of lettuce. Plant Physiol. Biochem. 109 181–189. 10.1016/j.plaphy.2016.09.018 [DOI] [PubMed] [Google Scholar]
  63. Robertson J. B., Gocht M., Marahiel M. A., Zuber P. (1989). AbrB, a regulator of gene expression in Bacillus, interacts with the transcription initiation regions of a sporulation gene and an antibiotic biosynthesis gene. Proc. Natl. Acad. Sci. U.S.A. 86 8457–8461. 10.1073/pnas.86.21.8457 [DOI] [PMC free article] [PubMed] [Google Scholar]
  64. Rückert C., Blom J., Chen X., Reva O., Borriss R. (2011). Genome sequence of B. amyloliquefaciens type strain DSM7T reveals differences to plant-associated B. amyloliquefaciens FZB42. J. Biotechnol. 155 78–85. 10.1016/j.jbiotec.2011.01.006 [DOI] [PubMed] [Google Scholar]
  65. Schroth M. N., Hancock J. G. (1982). Disease-suppressive soil and root-colonizing bacteria. Science 216 1376–1381. 10.1126/science.216.4553.1376 [DOI] [PubMed] [Google Scholar]
  66. Sibponkrung S., Kondo T., Tanaka K., Tittabutr P., Boonkerd N., Teaumroong N., et al. (2017). Genome sequence of Bacillus velezensis S141, a new strain of plant growth-promoting rhizobacterium isolated from soybean rhizosphere. Genome Announc. 5 7–8. 10.1128/genomeA.01312-17 [DOI] [PMC free article] [PubMed] [Google Scholar]
  67. Simon C., Nannan C., Gillis A., Licciardi F., Bragard C., Mahillon J. (2019). Overview of the antimicrobial compounds produced by members of the Bacillus Subtilis group. Front. Microbiol. 10:302. [DOI] [PMC free article] [PubMed] [Google Scholar]
  68. Sohn M.-J., Zheng C.-J., Kim W.-G. (2008). Macrolactin S, a new antibacterial agent with fab G-inhibitory activity from Bacillus sp. AT28. J. Antibiot. 61 687–691. 10.1038/ja.2008.98 [DOI] [PubMed] [Google Scholar]
  69. Strauch M. A., Bobay B. G., Cavanagh J., Yao F., Wilson A., Le Breton Y. (2007). Abh and AbrB control of Bacillus subtilis antimicrobial gene expression. J. Bacteriol. 189 7720–7732. 10.1128/JB.01081-07 [DOI] [PMC free article] [PubMed] [Google Scholar]
  70. Strauch M., Webb V., Spiegelman G., Hoch J. A. (1990). The SpoOA protein of Bacillus subtilis is a repressor of the abrB gene. Proc. Natl. Acad. Sci. U.S.A. 87 1801–1805. 10.1073/pnas.87.5.1801 [DOI] [PMC free article] [PubMed] [Google Scholar]
  71. Vanittanakom N., Loeffler W., Koch U., Jung G. (1986). Fengycin - a novel antifungal lipopeptide antibiotic produced by Bacillus subtilis F-29-3. J. Antibiot. 39 888–901. 10.7164/antibiotics.39.888 [DOI] [PubMed] [Google Scholar]
  72. Verma M., Mishra J., Arora N. K. (2019). “Plant growth-promoting rhizobacteria: diversity and applications,” in Environmental Biotechnology: For Sustainable Future, eds Sobti R. C., Arora N. K., Kothari R. (Berlin: Springer; ), 129–173. [Google Scholar]
  73. Vlamakis H., Chai Y., Beauregard P., Losick R., Kolter R. (2013). Sticking together: building a biofilm the Bacillus subtilis way. Nat. Rev. Microbiol. 11 157–168. 10.1038/nrmicro2960 [DOI] [PMC free article] [PubMed] [Google Scholar]
  74. Xu T., Zhu T., Li S. (2016). β-1,3-1,4-glucanase gene from Bacillus velezensis ZJ20 exerts antifungal effect on plant pathogenic fungi. World J. Microbiol. Biotechnol. 32:26. 10.1007/s11274-015-1985-0 [DOI] [PubMed] [Google Scholar]
  75. Yoo J.-S., Zheng C.-J., Lee S., Kwak J.-H., Kim W.-G. (2006). Macrolactin N, a new peptide deformylase inhibitor produced by Bacillus subtilis. Bioorg. Med. Chem. Lett. 16 4889–4892. 10.1016/j.bmcl.2006.06.058 [DOI] [PubMed] [Google Scholar]
  76. Yu X., Ai C., Xin L., Zhou G. (2011). The siderophore-producing bacterium, Bacillus subtilis CAS15, has a biocontrol effect on Fusarium wilt and promotes the growth of pepper. Eur. J. Soil Biol. 47 138–145. 10.1016/j.ejsobi.2010.11.001 [DOI] [Google Scholar]
  77. Zerbino D. R., Birney E. (2008). Velvet: algorithms for de novo short read assembly using de Bruijn graphs. Genome Res. 18 821–829. 10.1101/gr.074492.107 [DOI] [PMC free article] [PubMed] [Google Scholar]
  78. Zhang N., Yang D., Wang D., Miao Y., Shao J., Zhou X., et al. (2015). Whole transcriptomic analysis of the plant-beneficial rhizobacterium Bacillus amyloliquefaciens SQR9 during enhanced biofilm formation regulated by maize root exudates. BMC Genomics 16:685. 10.1186/s12864-015-1825-5 [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 datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: https://www.ncbi.nlm.nih.gov/genbank/, CP045993.1.


Articles from Frontiers in Microbiology are provided here courtesy of Frontiers Media SA

RESOURCES