Figures
Abstract
Development of natural, broad-spectrum, and eco-friendly bio-fungicides is of high interest in the agriculture and food industries. In this context, Bacillus genus has shown great potential for producing a wide range of antimicrobial metabolites against various pathogens. A Bacillus velezensis strain FB2 was isolated from an agricultural field of National Institute for Biotechnology and Genetic Engineering (NIBGE) Faisalabad, Pakistan, exhibiting good antifungal properties. The complete genome of this strain was sequenced, and its antifungal potential was assayed by dual culture method. Moreover, structural characterization of its antifungal metabolites, produced in vitro, were studied. Genome analysis and mining revealed the secondary metabolite gene clusters, encoding non-ribosomal peptides (NRPs) production (e.g., surfactin, iturin and fengycin) and polyketide (PK) synthesis (e.g., difficidin, bacillaene and macrolactin). Furthermore, the Bacillus velezensis FB2 strain was observed to possess in vitro antifungal activity; 41.64, 40.38 and 26% growth inhibition against major fungal pathogens i.e. Alternaria alternata, Fusarium oxysporum and Fusarium solani respectively. Its lipopeptide extract obtained by acid precipitation method was also found effective against the above-mentioned fungal pathogens. The ESI-MS/MS analysis indicated various homologs of surfactin and iturin-A, responsible for their antifungal activities. Overall, this study provides a better understanding of Bacillus velezensis FB2, as a promising candidate for biocontrol purposes, acting in a safe and sustainable way, to control plant pathogens.
Citation: Hammad M, Ali H, Hassan N, Tawab A, Salman M, Jawad I, et al. (2023) Food safety and biological control; genomic insights and antimicrobial potential of Bacillus velezensis FB2 against agricultural fungal pathogens. PLoS ONE 18(11): e0291975. https://doi.org/10.1371/journal.pone.0291975
Editor: Niraj Agarwala, Gauhati University, INDIA
Received: April 13, 2023; Accepted: September 8, 2023; Published: November 14, 2023
Copyright: © 2023 Hammad et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: All the relevant data are within the manuscript file.
Funding: The author(s) received no specific funding for this work.
Competing interests: The authors have declared that no competing interests exist.
Introduction
Resistance of pathogenic fungi to antifungal agents in medical and agriculture sectors has been increased globally due to the limited availability of safe and effective antifungal agents [1]. The emergence of antifungal resistant fungi is happening on a much faster track than development of novel antifungal agents, presenting severe human health and food security issues [2]. In agriculture, fungal pathogens are one of the most destructive biotic stresses faced by plants with more than 10,000 fungal species actively involved in causing infection in plants [3]. Fusarium and Alternaria genus are among the most commonly infesting fungi causing Fusarium wilt, Fusarium root rot, Alternaria early blight, Alternaria leaf spot in diverse array of plants [4]. Although a variety of fungicides are present for field applications, such as azoles, prompt concerns of rising antifungal resistance is getting alarming. For example, Botrytis cinerea has been reported to be present in strawberry fields across the world [5]. This pathogen is responsible for causing grey mould disease in more than 240 different species of fruits, vegetables and ornamental flowers. It has been showing resistance to multiple fungicides such as benzimidazoles, boscalid, pyraclostrobin, fenhexamid, cyprodinil and fludioxonil [5, 6]. Scientific communities urge to minimize the use of fungicides in agriculture to prevent resistance in pathogenic fungi, but they are still widely used to avoid crop losses, since suitable alternatives are absent. Therefore, the need to develop broad spectrum antifungal agents, possessing nonhazardous nature and safe to human and environment, is in high demand.
Bacteria have great potential to be used as biological control agents and their active metabolites have been proven as a sustainable strategy to control plant diseases and to compete against resistance in pathogenic fungi [7, 8]. Among these bacteria, the genus Bacillus is considered a potential source of bioactive antifungal metabolites, used broadly as biocontrol agents against plant pathogens [7]. Species of Bacillus have been declared as GRAS (generally recognized as safe) by the US Food and Drug Administration (US FDA) for use in food sectors. For example, Bacillus subtilis was reported producing highly active antifungal metabolites particularly effective against multidrug-resistant Botrytis cinerea [9], Bacillus amyloliquefaciens was observed preventing fruit diseases and plant pathogens e.g., Botrytis cinerea, Monilinia fructicola, Penicillium digitatum and Penicillium italicum [9, 10]. Further, growth of Alternaria alternata, Botrytis cinerea, Fusarium oxysporum and Phytophthora infestans was inhibited by compounds produced by Bacillus halotolerans [11]. In the recent years, Bacillus velezensis has been investigated widely for commercial purposes e.g., by using it as biocontrol agent and biofertilizer in agriculture [7, 8, 12].
Therefore, Bacillus velezensis is considered a valuable asset producing a variety of compounds such as antifungal bioactive compounds (e.g., lipopeptides) [13], enzymes [14], and volatile compounds [15], and additionally to perform well as plant growth-promoting rhizobacterium (PGPR) [16], hence suppressing fungal pathogenicity and promoting plant growth. Bacillus velezensis produced volatile organic compounds, efficiently inhibiting spore germination of Botrytis cinerea and mycelial growth of Alternaria solani [17]. Earlier, this specie was found to prevent growth and germination of fungal mycelia and spore, respectively, of Colletotrichum gloeosporioides by producing cyclic tetrapeptides and lytic enzymes [18]. The synthesis of antifungal metabolites is either ribosomal based such as sulphur antibiotics and antagonistic protein [19] or non-ribosomally based such as lipopeptide antibiotics, and volatile organic compounds [20]. For example, synthesis of lipopeptides possessing antifungal activity was based on nonribosomal peptide synthetases (NRPSs) in Bacillus velezensis [21]. Furthermore, the biosynthetic genes responsible for bioactive metabolites production exist in clusters constituting a considerable part of the genome and are involved in diverse biological functions [22]. Previous studies done for understanding the diversity of these gene clusters and for exploring their role in interaction and development of Bacillus revealed that the presence of highly conserved gene clusters are related to the functional regulations while less preserved gene clusters are helpful in interaction with other organisms [23, 24].
The present study was aimed to assess the antifungal potential of Bacillus velezensis FB2 against various phytopathogens. This study includes complete sequencing of Bacillus velezensis FB2 genome and genes mining, exploring secondary bio-active metabolites of Bacillus velezensis FB2. Furthermore, antifungal properties and identification of lipopeptides produced by Bacillus velezensis FB2 were also included in this study.
Material and methods
Selection of FB2 and cultivation conditions
Soil samples were collected from agricultural fields, situated in the National Institute for Biotechnology and Genetic Engineering (NIBGE) Faisalabad. Prior to isolation, 1g soil was heated at 80°C for 20 minutes in order to kill non-spore forming bacteria [25]. Then, dilutions of the treated soil sample were prepared and plated on Luria-Bertani (LB) agar medium (g/L: Tryptone 10, Sodium chloride 5, Yeast extract 5, Agar 15) and incubated at 30°C for 48 hours [26]. Morphologically distinct Bacillus like colonies were purified by streak plate method on LB agar. Purified colonies were stored at -80°C, as 20% glycerol stocks for subsequent use. Moreover, morphological characteristics of bacterial isolates were examined using standard procedures under a ZEISS Axioscope Plus 2 microscope.
In vitro primary antimicrobial assays
A total of 9 isolates were preliminary screened for their activities against various agricultural and human pathogens. The organisms tested included fungi (Fusarium culmorum PV, Botrytis cinerea B05.10, and Verticillium dahlia JR2), bacteria (Erwinia carotovora subsp. brasiliensis LMG21371, Pseudomonas syringae pv. tomato DC300, Klebsiella pneumonia, Escherichia coli WA321 and Bacillus cereus ATCC14579), oomycete (Pythium ultimum P17) and yeast pathogens (Candida albicans); all pathogens and the protocol followed has been described by Muñoz CY, et al., (2022) [27]. An overnight grown culture of FB2 isolate (1 × 108 cells/mL) calculated by UV-VIS Spectrophotometer (Dynamica) at OD600 = 1 was used for all assays. Briefly, 5 mm2 agar plugs of tested fungi were excised from 3–5 days old plates of Potato Dextrose Agar (PDA) (g/L: Dextrose 20, Potato extract 4, Agar 15) and put in the center of fresh PDA plates and 5 μL of all isolates were put at 2 cm distance and incubated at 28 ± 2°C for 3–5 days. For antibacterial assays, bacterial pathogens were grown overnight and mixed with LB agar at the concentration 1 × 106 cells/mL and 5 μL cultures were inoculated and incubated at 33 ± 2°C for 24 hours. Based on the results of primary screening, the FB2 isolate was further processed.
Complete genome sequencing and assembly
Bacillus velezensis FB2 was cultivated in LB broth and incubated at 130 rpm at 30°C for 48 hours. Genomic DNA was extracted using GenElute bacterial genomic DNA kit (Sigma-Aldrich, Munich, Germany) according to the manufacturer’s instructions. Paired end sequencing (PE150) of high quality isolated DNA was done by the Beijing Genomics Institute (BGI) European Genome Center in Denmark on a BGISEQ-500 platform. Whole-genome sequencing libraries were constructed with the MGIEasy universal DNA library prep set (MGI Tech Co., Ltd., Shenzhen, China), which is specifically designed for MGI high-throughput sequencing platform series. From raw reads, low quality reads, contamination and adapter sequences were removed using Trimmomatic version 0.38 and quality of clean reads was examined through FastQC version 0.11.9. To assemble the short reads, Unicycler version 0.4.8 integrated with SPAdes version 3.14.0 was used. Table 1 shows sequence data of FB2 strain and bio-project/bio-sample information is available at NCBI.
Phylogenomic comparison and tree
To assess the presence of any contaminating DNA sequence, genome sequence was analyzed by ContEst16S algorithm of EzBiocloud (https://www.ezbiocloud.net/tools/contest16s) [28]. The phylogenetic tree based on the complete genome sequence (https://tygs.dsmz.de/) was constructed using Type (Strain) Genome Server (TYGS) [29]. Genome BLAST Distance Phylogeny (GBDP) distances were calculated from genome sequences and inferred with FastME [30]. GBDP distance formula d5 was used for scaling branch lengths of tree. For the estimation of genomic digital DNA Hybridization (dDDH), Genome-to-Genome Distance Calculator (GGDC) DSMZ (https://www.dsmz.de/services/online-tools/genome-to-genomedistance-calculator-ggdc) was used. For Average Nucleotide Identity (ANI) estimation, ANI calculator was used (https://www.ezbiocloud.net/tools/ani) [31]. For taxonomic placement of an isolate in specie, 70% dDDH and 95–96% ANI is regarded as acceptable threshold [30]. Two tools, NCBI Prokaryotic Genome Annotation Pipeline (PGAP) 6.2 and Rapid Annotation using Subsystem Technology (RAST) server version 2.0 was used for genome annotation [32].
Prediction of secondary metabolite clusters
The final FASTA file of FB2 was subjected to be analyzed by antiSMASH (antibiotics and Secondary Metabolite Analysis Shell) bacterial version. The webserver antiSMASH was used to predict the genes involved in secondary metabolites synthesis [33]. The antiSMASH webserver works by combining various available genetics data, antimicrobial metabolites and biosynthetic gene clusters to calculate the place and possible function of the gene clusters.
In vitro antagonistic activity of FB2
The tested fungal strains used for the antagonistic activity, were acquired from the First (Fungal) Culture Bank of Pakistan (FCBP), Lahore Pakistan under the accession numbers FCBP-SF-1175, FCBP-PTF-791, FCBP-PTF-1174 for Fusarium oxysporum, Fusarium solani, Alternaria alternata respectively. All the strains were maintained on Potato Dextrose Agar (PDA) at 30 ± 2°C. Dual culture technique was used for screening the antagonistic activity of FB2 strain against fungal pathogens [34]. Briefly, 5 mm fungal plug of each fungal strain was cut from 5–7 days old PDA plates and put in the center of fresh PDA plate. From overnight grown culture of FB2 (OD600-1) in LB broth, 20 μL culture was put on both sides of fungal plug at 2 cm distance in test plates. Plates with fungal plug without the inoculation of bacteria served as control. Experiment was done in triplicates. All the plates were kept at 30 ± 2°C for 3 days. Percentage fungal inhibition was measured by the following formula [35]:
Lipopeptides production and extraction from FB2
For the production of lipopeptides, a single colony of the FB2 strain was inoculated in LB medium and incubated overnight (14–16 hours) at 30°C and 180 rpm) until OD600 nm = 1 was obtained. Next day, the culture was inoculated in 2% in lipopeptides production medium (g/L: glucose 2, monosodium glutamate 1, yeast extract 0.3, MgSO4 0.1, K2HPO4 0.1, KCl 0.05, pH 7 ± 0.5) and kept at 30°C and 180 rpm [36]. After 96 hours, culture was centrifuged at 6000 rpm for 15 minutes and cell free supernatant was collected and acidified with 6 M HCl until acquiring pH 2 and kept at 4°C for overnight. Precipitates of lipopeptides were obtained by centrifugation at 7000 rpm for 20 minutes, and dissolved in methanol for further analysis.
Antifungal activity of lipopeptide extract
The antifungal activity of lipopeptide of methanol extract was assessed using the method described by Zhou L, Song C, Li Z, and Kuipers OP (2021) [37] for bacterial strain with slight modifications. The spores were collected from 5 days old culture of fungal pathogens (Fusarium oxysporumi, Fusarium solani, Alternaria alternata) and washed with sterile water. The spore suspension was prepared at 1 x 106 spores/mL and mixed with PDA which was pre-cooled at 55°C. After mixing, PDA medium was poured in petri dishes and was let to solidify. Two wells of 5 mm2 each were made at equal distances from the edge of the plate for each fungal strain with the help of sterile 1 mL tip. 100 μL of methanol extract of lipopeptides was poured in one well and 100 μL methanol was added in the other well as a control. The experiment was done in triplicate. Plates were incubated for 2 to 3 days at 30°C and inhibition zones were measured. The 30°C temperature and 3 days’ incubation time were the optimum growth parameters, which were found best for maximum fungal proliferation to get visible results.
ESI-MS/MS analysis of lipopeptide extract
In order to find out and characterize the compounds responsible for antifungal activity, lipopeptides methanol extract of FB2 was subjected to Liquid chromatography / mass spectrometry analysis. Mass spectrometric analyses of methanol extract of FB2 strain were done on LTQ XL Linear Ion Trap Mass Spectrometer (Thermo Scientific, USA) equipped with an ESI source. Samples were injected with the help of a syringe pump and the flow rate was 5 μL/min. Source voltage was 4.80 kV and capillary voltage was 23 V in positive ion mode. In both positive and negative scan modes, the capillary temperature and sheath gas (N2) flow were 350°C and 30 arbitrary units respectively. The data acquisition was conducted in full scan mode ranging m/z 50–2000. Tandem mass spectrometry was further conducted. Both the [M + H]+, [M + Na]+ in positive mode as well as [M—H]− ions in negative mode were monitored, for the proper characterization of lipopeptides in the ESI-mass spectra and for the confirmation of the structures of lipopeptides, identified peaks were further fragmented by ESI-MS/MS [38].
Results
Selection of the FB2 isolate and primary screening
Based on their morphological characters, 9 bacterial isolates (P1, P2, P3, M1, M6, M7, FB1, FB2, and FB3) were selected and subjected to in vitro antimicrobial assays. Morphological characteristics included rod-shaped, oblong endospores producing Gram-positive bacterial species, confirmed by ZEISS Axioscope plus 2 microscope. Out of all 9 isolates, the FB2 isolate showed the most promising antimicrobial activity against all tested bacterial and fungal pathogens except Klebsiella pneumoniae. Based on the best performance by exhibiting antimicrobial activity, The FB2 isolate was selected for subsequent experiments. Table 2 shows antimicrobial activity of all isolates against tested pathogens.
Genome assembly and annotation
A total of 4.6 M paired-end clean reads (100 bp) were obtained from genome sequencing. The de novo assembly of the genome was comprised of 13 contigs and genome coverage was 200 X. The genome annotation of Bacillus velezensis FB2, based on Classic RAST, revealed that the genome was comprised of 3,888,040 bp (3.8 Mb) and possessed other key characteristics including 46.4% GC content, N50 (2058779) and L50 (1). The total 13 contigs were counted in the genome sequence of FB2 isolate and it was comprised of 462 subsystems, 3965 protein-coding sequences, and 58 RNAs and 52 tRNAs. Table 3 shows general genomic features possessed by Bacillus velezensis FB2.
Further, based on the functional characteristics, 462 subsystems present in the genome represented 229 ORFs responsible for cofactors, vitamins, prosthetic groups, pigments. While, 139 ORFs for cell wall and capsule, 68 ORFs for virulence, disease and defense, 157 ORFs for RNA metabolism and various others are included in the genome of FB2 strain. Fig 1 shows subsystems information of FB2 obtained from Classic RAST.
FB2 identification and phylogenomic analysis
Table 4 shows the dDDH and ANI values for individual bacteria, obtained from TYGS and ANI calculator, respectively.
After comparing with multiple strains including 4 major species of Bacillus subtilis group, TYGS analysis showed 99.9% dDDH and ANI calculator gave 98.23% similarity of FB2 strain to Bacillus methylotrophicus KACC 13105 (which is synonymous to Bacillus velezensis [39]). Further, by NCBI BLAST, 16S gene of FB2 was found highly similar to Bacillus velezensis strain FZB42. Fig 2 shows the phylogenetic tree, based on the whole genome sequence, by GBDP showed relatedness of the bacteria.
Pseudo bootstrap values were set > 60% from 100 replications in Genome BLAST Distance Phylogeny (GBDP).
Prediction of genes responsible for secondary metabolism
Through antiSMASH analysis, 12 regions were detected in the genome of the FB2 strain. Out of which, 3 belonged to NRPS i.e. (Fengycin, surfactin and bacillibactin), 2 to Trans-PK clusters (macrolactin H and difficidin,), 1 to TypeIII PKS (unknown) 1 to PK like (butirosin), 1 hybrid NRPS/PKS (bacillaene), 2 terpenes (unknown), 1 belonged to lanthipeptide-class-ii like cluster and one was uncharacterized (similar to bacilysin. Table 5 shows the summary of biosynthetic gene clusters detected by antiSMASH analysis. A large DNA sequence of 37 kb is devoted for biosynthesis of surfactin in the FB2 strain. There were three core genes, srf AA. srfAB, srf AC and an external thioesterase named srf D found, which had 99–100% identities to the same genes found in Bacillus amyloliquifaciens or Bacillus velezensis. The operon for iturin synthesis (37 kb) was found to be highly similar to that of Bacillus spp. (95–98%), consists of 4 core genes. ituD encodes a malonyl-coA transcyclase mediating the incorporation of fatty acid chain in iturin structure, while other three genes ituA, ituB, ituC are involved in amino acid integration. Further, a five genes containing cluster (fenA-E) (28 kb) responsible for fengycin production, was identified which was 95–99% similar to other Bacillus spp. Regarding polyketide synthetases, three gene clusters were identified; for the biosynthesis of antibacterial compounds difficidin, bacillaene and macrolactin with amino acid similarities between 95–99% to other Bacillus spp.
In vitro antagonistic activity of FB2 strain
The FB2 strain was found to have antagonistic activity against tested plant fungal pathogens confirmed by observing reduced diameters of fungal colonies in test plates as compared to control after 3 days of incubation as shown in Fig 3.
A. Control of Alternaria alternata B. Test of Alternaria alternata. C. Control of Fusarium solani D. Test of. Fusarium solani E. Control of Fusarium oxysporum F. Test of Fusarium oxysporum.
Table 6 shows the growth inhibition of fungal pathogens caused by FB2 strain. Percentage inhibition was found to be highest for Alternaria alternata (41.64%) following Fusarium oxysporum (40.38%), then Fusarium solani (26%).
In vitro antifungal activity of lipopeptides extract
The lipopeptides methanolic extract of FB2 strain was found to be active against all the three fungal pathogens; Alternaria alternata, Fusarium oxysporum and Fusarium solani as shown in Fig 4.
C = Methanol as control, T = Lipopeptides extract of FB2, A. Alternaria alternata B. Fusarium oxysporum C. Fusarium solani.
Table 7 shows zone of inhibition of test fungal pathogens caused by lipopeptides extract of FB2. Inhibition zone was largest for Alternaria alternata, followed by Fusarium oxysporum and Fusarium solani in decreasing order. This showed that antifungal activity of the FB2 strain was mainly caused by its lipopeptides.
Metabolites analysis by ESI-MS/MS
During the full scan mass spectrometry of methanolic extracts of FB2, two families of products were identified both in positive as well as negative modes. Fig 5A shows detected peaks in positive mode. In positive mode, the observed groups were in the range of m/z 993–1058 and m/z 1066–1096. All the observed full scan peaks were further subjected to tandem mass spectrometry for further confirmation. The MSn of ion peaks at m/z 1016.8, 1030.8, 1044.8 and 1058.7 revealed the sodiated ions of surfactin C-12, C-13, C-14 and C-15, respectively. The ion peaks, at m/z 1066.7 and 1080.7 corresponded to sodiated ions of C-14 and C-15 of iturin-A, while the ion peak at m/z 1074.7 and 1096.7 were identified as protonated and potassium ion of iturin-A C-16 and C-15, respectively.
ESI-MS/MS full scan of the metabolites, obtained from FB2, in (A) positive ionization mode and (B) negative ionization mode.
Among all the molecular moieties, the sodiated ion peak of surfactin homolog C-15 at m/z 1058.7 was found to be the most abundant. The relative abundances of other homologs of surfactin, at ion peaks of m/z 993.7, 1016.8, 1030.8, and 1044.8 were 5, 6, 24 and 90% each, for [C12 + H]+, [C12 + Na]+, [C13 + Na]+ and [C14 + Na]+ respectively. Relative abundance of different homologs of iturin at ion peaks of m/z 1066.7, 1074.7, 1080.7 and 1096.7 was 24, 28, 22 and 10% each, for [C14 + Na]+, [C16 + H]+, [C15 + Na]+ and [C15 + K]+ respectively.
In negative mode, also two groups were detected as shown in Fig 5B. One group was in the range of m/z 992–1048 and the other was observed on m/z 1056.67. Here four homologs of surfactin C-12, C-13, C-14, C-15 and C-16 were detected at m/z 992.67, 1006.75, 1020.67, 1034.67 and 1048.67, respectively, while one homolog C-15 of iturin-A at m/z 1056.67 was also detected during the MS2 of corresponding ion peaks.
In negative mode, the most abundant molecular moiety was C-15 homolog of surfactin, similar to the positive mode. While comparing abundances of other molecules, C-12, C-13, C-14 and C-16 homologs of surfactin were detected at ion peaks of m/z 992.8, 1006.8, 1020.7, 1034.7 and 1048.7 and their relative abundances of each were 6, 21, 82 and 6% respectively. The only homolog of iturin found was C-15 at m/z 1056.7 which was present 4% as compared to the most abundant molecule.
Table 8 summarizes the MSn data of the detected peaks indicating that they belong to surfactin and iturin classes of lipopeptides [38].
Discussion
Based on the resilient nature and diverse habitat, the Bacillus genus is capable of producing diverse range of bioactive molecules, making this genus an ideal candidate to be used as biocontrol agent. Importantly, species of Bacillus and their antimicrobial metabolites are considered safe for humans and the environment. Hence, this study was focused to explore Bacillus species as a new biocontrol agent and genomic insights into antifungal potentials of Bacillus species. In the present study, a total of 9 bacteria were isolated showing antagonistic activities against different human and agricultural pathogens. Based on showing best antifungal potential, the FB2 isolate was subjected to complete genome sequence for elucidating the underlying genomic information related to broad spectrum functionality and to subsequent in vitro experiments, The FB2 isolate was identified as Bacillus velezensis based on dDDH and ANI after complete genome sequence.
In the current study, the complete genome sequence analysis of FB2 strain revealed that a considerable amount of the genome was devoted for the production of secondary metabolites possessing broad spectrum of antibacterial and antifungal properties. Previous studies also presented high genomic similarity for Bacillus velezensis reported in this study, suggesting this species as ideal candidate for biocontrol [40, 41]. Further, 13 gene clusters were identified in the studied genome, out of which 4 were found to be for synthesis of NRPS (surfactin fengycin, iturin and bacillibactin) and 3 gene clusters belonged to the class of antimicrobial polyketide synthetases (bacillaene, difficidin and macrolactin). These genes clusters have been reported in almost every genome of Bacillus velezensis [42] and are responsible for regulating broad antifungal and other antimicrobial activities in Bacillus velezensis as well as involved in the suppression of plant pathogens [43]. Moreover, a big cluster (51 kb) for the biosynthesis of bacillibactin has been detected in the genome of Bacillus velezensis FB2, suggesting this presence might be attributed to antibacterial activity against agricultural pathogen e.g., Pseudomonas syringae [44]. Bacillibactin is siderophore known for scavenging iron from the environment and has been found to have antibacterial potential against plant pathogens including Pseudomonas syringae [44]. Further, polyketide synthases (PKS) clusters have been found exhibiting various functions related to plant immunity and antagonism against bacterial plant pathogens and even in inhibition of cancer proliferation [45].
This study also evaluated the antagonistic activities of Bacillus velezensis FB2 based on cell-free supernatants and lipopeptide extracts against different phytopathogens. Among the variety of bioactive molecules produced by Bacillus velezensis, lipopeptides are known for their excellent antimicrobial performance [46]. The lipopeptide extract was found most effective against Alternaria alternata, then Fusarium oxysporum and against Fusarium solani. Here, we conclude that the antifungal activity of Bacillus velezensis FB2 to these fungi can be attributed to lipopeptides production. Previous studies have also explored root colonization capacity and cell motility of lipopeptides once subjected to the extracellular matrix [24, 47]. Further, these molecules have been involved in decreasing superficial tension and inducing systemic resistance in plant [48]. Various Bacillus velezensis strains have been exploited for their antagonistic activities against different Alternaria and Fusarium pathogens in vitro and in vivo studies [49–52]. Hence, presence of gene clusters revealed by complete genome sequence and in vitro demonstration of antifungal activity by Bacillus velezensis FB2 showed that lipopeptides are central to making the best choice for being used as biocontrol agents in plants. Although, in vitro studies provide valuable preliminary data, it is important to acknowledge the limitations of extrapolating these findings to real-world agricultural settings. Further research and in vivo studies are needed to assess the efficacy and practical applicability of Bacillus velezensis FB2 as biocontrol agent under field conditions in future.
Mass spectrometric analysis of lipopeptide extracts showed the presence of surfactins and iturins, belong to the class of cyclic lipopeptides (CLP), comprised of α-amino acids linked to fatty acid chain through β-hydroxyl (surfactins or fengycins) or β-amino(iturins) linkage forming amphipathic compounds. Surfactin is a well-known biosurfactant and has been established as promising agent with virtuous antifungal, antiviral, antitumoral and anti-mycoplasma activities [53]. Further, iturin has been found as the most efficient antifungal lipopeptide discovered so far [54]. Fengycin has great potential of specifically inhibiting the growth of filamentous fungi [55]. However, no homolog of fengycin was detected in the culture medium in the present study, which might be due to lower indictable production. By combining the results of antifungal activity shown by crude extract, and ESI-MS analysis showing the presence of surfactin and iturin, this could be inferred that either both of these compounds have their own activities or they may be acting synergistically to inhibit tested fungal growth. The latter observation is in agreement with the previous studies which proposed that surfactin does not have antimicrobial activity by its own, but rather acts synergistically with iturin or other metabolites for enhance antimicrobial activity [56, 57]. In another study, a crude extract of Bacillus velezensis DTU001 has been found more effective as compared to individual antifungal compounds (iturins and fengycins) [2]. The individual activities of all compounds remain to be assessed in a future study, as well as the identification of aberrant amino acid residues in the known antifungal compounds, which could give them altered properties.
Conclusion
Bacillus velezensis FB2 showed antifungal activities against various phytopathogens. The surfactins and iturins were the main components of lipopeptides extracted from this strain as confirmed by LC/MS analysis. Complete genome sequence revealed multiple gene clusters responsible for secondary metabolites synthesis, possessing broad spectrum of antibacterial and antifungal properties. The presence of all these significant gene clusters in the genome suggests that this strain has great potential for use in agriculture sector as biocontrol agent.
References
- 1. Xiong ZR, Cobo M, Whittal RM, Snyder AB, Worobo RW (2022) Purification and characterization of antifungal lipopeptide produced by Bacillus velezensis isolated from raw honey. PloS one 17: e0266470.
- 2. Devi S, Kiesewalter HT, Kovács R, Frisvad JC, Weber T, et al. (2019) Depiction of secondary metabolites and antifungal activity of Bacillus velezensis DTU001. Synth Syst Biotechnol. 4: 142–149.
- 3. Berendsen RL, Pieterse CMJ, Bakker PAHM (2012) The rhizosphere microbiome and plant health. Trends Plant Sci. 17: 478–486. pmid:22564542
- 4. Meena M, Swapnil P, Zehra A, Dubey MK, Upadhyay RS (2017) Antagonistic assessment of Trichoderma spp. by producing volatile and non-volatile compounds against different fungal pathogens. Arch Phytopathol Plant Protect. 50: 629–648.
- 5. Hahn M (2014) The rising threat of fungicide resistance in plant pathogenic fungi: Botrytis as a case study. J Chem Biol. 7: 133–141.
- 6. Amiri A, Heath SM, Peres NA (2013) Phenotypic Characterization of Multifungicide Resistance in Botrytis cinerea Isolates from Strawberry Fields in Florida. Plant Dis. 97: 393–401.
- 7. Syed Ab Rahman SF, Singh E, Pieterse CMJ, Schenk PM (2018) Emerging microbial biocontrol strategies for plant pathogens. Plant Sci. 267: 102–111. pmid:29362088
- 8. Roca-Couso R, Flores-Félix JD, Rivas R (2021) Mechanisms of Action of Microbial Biocontrol Agents against Botrytis cinerea. Journal of Fungi 7: 1045.
- 9. Calvo H, Marco P, Blanco D, Oria R, Venturini ME (2017) Potential of a new strain of Bacillus amyloliquefaciens BUZ-14 as a biocontrol agent of postharvest fruit diseases. Food Microbiol. 63: 101–110.
- 10. Gotor-Vila A, Teixidó N, Casals C, Torres R, De Cal A, et al. (2017) Biological control of brown rot in stone fruit using Bacillus amyloliquefaciens CPA-8 under field conditions. Crop Protect. 102: 72–80.
- 11. Wang F, Xiao J, Zhang Y, Li R, Liu L, et al. (2021) Biocontrol ability and action mechanism of Bacillus halotolerans against Botrytis cinerea causing grey mould in postharvest strawberry fruit. Postharvest Biol Technol. 174: 111456.
- 12. Choub V, Won S-J, Ajuna HB, Moon J-H, Choi S-I, et al. (2022) Antifungal Activity of Volatile Organic Compounds from Bacillus velezensis CE 100 against Colletotrichum gloeosporioides. Horticulturae 8: 557.
- 13. Meena KR, Tandon T, Sharma A, Kanwar SS (2018) Lipopeptide antibiotic production by Bacillus velezensis KLP2016. J Appl Pharm Sci. 8: 091–098.
- 14. 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: 1–9.
- 15. Lim SM, Yoon M-Y, Choi GJ, Choi YH, Jang KS, et al. (2017) Diffusible and volatile antifungal compounds produced by an antagonistic Bacillus velezensis G341 against various phytopathogenic fungi. Plant Pathol J. 33: 488.
- 16. Fan B, Wang C, Song X, Ding X, Wu L, et al. (2018) Bacillus velezensis FZB42 in 2018: The Gram-Positive Model Strain for Plant Growth Promotion and Biocontrol. Front Microbiol. 9.
- 17. Gao Z, Zhang B, Liu H, Han J, Zhang Y (2017) Identification of endophytic Bacillus velezensis ZSY-1 strain and antifungal activity of its volatile compounds against Alternaria solani and Botrytis cinerea. Biol Control.105: 27–39.
- 18. Choub V, Ajuna HB, Won S-J, Moon J-H, Choi S-I, et al. (2021) Antifungal Activity of Bacillus velezensis CE 100 against Anthracnose Disease (Colletotrichum gloeosporioides) and Growth Promotion of Walnut (Juglans regia L.) Trees. Int J Mol Sci. 22: 10438.
- 19. Halami PM (2019) Sublichenin, a new subtilin-like lantibiotics of probiotic bacterium Bacillus licheniformis MCC 2512T with antibacterial activity. Microb Pathog. 128: 139–146.
- 20. Fernando WGD, Ramarathnam R, Krishnamoorthy AS, Savchuk SC (2005) Identification and use of potential bacterial organic antifungal volatiles in biocontrol. Soil Biol Biochem. 37: 955–964.
- 21. Kim SY, Lee SY, Weon H-Y, Sang MK, Song J (2017) Complete genome sequence of Bacillus velezensis M75, a biocontrol agent against fungal plant pathogens, isolated from cotton waste. J Biotechnol. 241: 112–115.
- 22. Sharrar AM, Crits-Christoph A, Méheust R, Diamond S, Starr EP, et al. (2020) Bacterial secondary metabolite biosynthetic potential in soil varies with phylum, depth, and vegetation type. MBio 11: 00416–00420. pmid:32546614
- 23. Cimermancic P, Medema Marnix H, Claesen J, Kurita K, Wieland Brown Laura C, et al. (2014) Insights into Secondary Metabolism from a Global Analysis of Prokaryotic Biosynthetic Gene Clusters. Cell 158: 412–421. pmid:25036635
- 24. Grubbs KJ, Bleich RM, Maria KCS, Allen SE, Farag S, et al. (2017) Large-Scale Bioinformatics Analysis of Bacillus Genomes Uncovers Conserved Roles of Natural Products in Bacterial Physiology. mSystems 2: e00040–00017. pmid:29152584
- 25. Manzum AA, Al Mamun MA (2018) Isolation of Bacillus spp. bacteria from soil for production of cellulase. Nepal J. Biotechnol. 6: 57–61.
- 26. Lu H, Yang P, Zhong M, Bilal M, Xu H, et al. (2023) Isolation of a potential probiotic strain Bacillus amyloliquefaciens LPB‐18 and identification of antimicrobial compounds responsible for inhibition of food‐borne pathogens. Food Sci. Nutr. 11: 2186–2196.
- 27. Muñoz CY, Zhou L, Yi Y, Kuipers OP (2022) Biocontrol properties from phyllospheric bacteria isolated from Solanum lycopersicum and Lactuca sativa and genome mining of antimicrobial gene clusters. BMC Genom. 23: 152.
- 28. Lee I, Chalita M, Ha SM, Na SI, Yoon SH, et al. (2017) ContEst16S: an algorithm that identifies contaminated prokaryotic genomes using 16S RNA gene sequences. Int J Syst Evol Microbiol 67: 2053–2057. pmid:28639931
- 29. Meier-Kolthoff JP, Göker M (2019) TYGS is an automated high-throughput platform for state-of-the-art genome-based taxonomy. Nat. Commun. 10: 2182. pmid:31097708
- 30. Lefort V, Desper R, Gascuel O (2015) FastME 2.0: a comprehensive, accurate, and fast distance-based phylogeny inference program. Mol. Biol. Evol. 32: 2798–2800. pmid:26130081
- 31. Yoon SH, Ha SM, Lim J, Kwon S, Chun J (2017) A large-scale evaluation of algorithms to calculate average nucleotide identity. Antonie Van Leeuwenhoek 110: 1281–1286. pmid:28204908
- 32. Aziz RK, Bartels D, Best AA, DeJongh M, Disz T, et al. (2008) The RAST Server: Rapid Annotations using Subsystems Technology. BMC Genom. 9: 75. pmid:18261238
- 33. Blin K, Shaw S, Kloosterman AM, Charlop-Powers Z, van Wezel GP, et al. (2021) antiSMASH 6.0: improving cluster detection and comparison capabilities. Nucleic Acids Res. 49: W29–W35. pmid:33978755
- 34. Liu Y, Teng K, Wang T, Dong E, Zhang M, et al. (2020) Antimicrobial Bacillus velezensis HC6: production of three kinds of lipopeptides and biocontrol potential in maize. J Appl Microbiol. 128: 242–254. pmid:31559664
- 35. Ben Khedher S, Kilani-Feki O, Dammak M, Jabnoun-Khiareddine H, Daami-Remadi M, et al. (2015) Efficacy of Bacillus subtilis V26 as a biological control agent against Rhizoctonia solani on potato. C R Biol. 338: 784–792.
- 36. Eswari JS, Anand M, Venkateswarlu C (2016) Optimum culture medium composition for lipopeptide production by Bacillus subtilis using response surface model-based ant colony optimization. Sadhana 41: 55–65.
- 37. Zhou L, Song C, Li Z, Kuipers OP (2021) Antimicrobial activity screening of rhizosphere soil bacteria from tomato and genome-based analysis of their antimicrobial biosynthetic potential. BMC Genom. 22: 29. pmid:33413100
- 38. Ali S, Hameed S, Imran A, Iqbal M, Lazarovits G (2014) Genetic, physiological and biochemical characterization of Bacillus sp. strain RMB7 exhibiting plant growth promoting and broad spectrum antifungal activities. Microb Cell Factories. 13: 144.
- 39. Dunlap CA, Kim SJ, Kwon SW, Rooney AP (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 phylogenomics. Int J Syst Evol Microbiol 66: 1212–1217.
- 40. Sibponkrung S, Kondo T, Tanaka K, Tittabutr P, Boonkerd 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: e01312–01317.
- 41. Teixeira GM, Mosela M, Nicoletto MLA, Ribeiro RA, Hungria M, et al. (2021) Genomic Insights Into the Antifungal Activity and Plant Growth-Promoting Ability in Bacillus velezensis CMRP 4490. Front. Microbiol. 11.
- 42. Fazle Rabbee M, Baek K-H (2020) Antimicrobial Activities of Lipopeptides and Polyketides of Bacillus velezensis for Agricultural Applications. Molecules 25: 4973.
- 43. Chen XH, Koumoutsi A, Scholz R, Eisenreich A, Schneider K, et al. (2007) Comparative analysis of the complete genome sequence of the plant growth–promoting bacterium Bacillus amyloliquefaciens FZB42. Nat Biotechnol. 25: 1007–1014.
- 44. Dimopoulou A, Theologidis I, Benaki D, Koukounia M, Zervakou A, et al. (2021) Direct antibiotic activity of bacillibactin broadens the biocontrol range of Bacillus amyloliquefaciens MBI600. Msphere 6: e00376–00321.
- 45. Chowdhury SP, Hartmann A, Gao X, Borriss R (2015) Biocontrol mechanism by root-associated Bacillus amyloliquefaciens FZB42–a review. Front Microbiol. 6: 780.
- 46. Caulier S, Nannan C, Gillis A, Licciardi F, Bragard C, et al. (2019) Overview of the Antimicrobial Compounds Produced by Members of the Bacillus subtilis Group. Front Microbiol. 10.
- 47. Kinsinger RF, Shirk MC, Fall R (2003) Rapid Surface Motility in Bacillus subtilis Is Dependent on Extracellular Surfactin and Potassium Ion. J Bacteriol. 185: 5627–5631.
- 48. Ongena M, Jourdan E, Adam A, Paquot M, Brans A, et al. (2007) Surfactin and fengycin lipopeptides of Bacillus subtilis as elicitors of induced systemic resistance in plants. Environ Microbiol. 9: 1084–1090.
- 49. Nam M-H, Park M-S, Kim H-G, Yoo S-J (2009) Biological control of strawberry Fusarium wilt caused by Fusarium oxysporum f. sp. fragariae using Bacillus velezensis BS87 and RK1 formulation. J Microbiol Biotechnol. 19: 520–524.
- 50. Cao Y, Pi H, Chandrangsu P, Li Y, Wang Y, et al. (2018) Antagonism of Two Plant-Growth Promoting Bacillus velezensis Isolates Against Ralstonia solanacearum and Fusarium oxysporum. Sci Rep. 8: 4360.
- 51. Grady EN, MacDonald J, Ho MT, Weselowski B, McDowell T, et al. (2019) Characterization and complete genome analysis of the surfactin-producing, plant-protecting bacterium Bacillus velezensis 9D-6. BMC Microbiol. 19: 1–14.
- 52. Gorai PS, Ghosh R, Konra S, Mandal NC (2021) Biological control of early blight disease of potato caused by Alternaria alternata EBP3 by an endophytic bacterial strain Bacillus velezensis SEB1. Biol Control.156: 104551.
- 53. Liu G, Kong Y, Fan Y, Geng C, Peng D, et al. (2017) Whole-genome sequencing of Bacillus velezensis LS69, a strain with a broad inhibitory spectrum against pathogenic bacteria. J Biotechnol. 249: 20–24.
- 54. Romero D, De Vicente A, Rakotoaly RH, Dufour SE, Veening J-W, et al. (2007) The iturin and fengycin families of lipopeptides are key factors in antagonism of Bacillus subtilis toward Podosphaera fusca. Mol Plant-Microbe Interact. 20: 430–440.
- 55. Vanittanakom N, Loeffler W, Koch U, Jung G (1986) Fengycin—a novel antifungal lipopeptide antibiotic produced by Bacillus subtilis F-29-3. J Antibiot. (Tokyo) 39: 888–901.
- 56. Maget-Dana R, Thimon L, Peypoux F, Ptak M (1992) Surfactin/iturin A interactions may explain the synergistic effect of surfactin on the biological properties of iturin A. Biochim. 74: 1047–1051. pmid:1292612
- 57. Lilge L, Ersig N, Hubel P, Aschern M, Pillai E, et al. (2022) Surfactin Shows Relatively Low Antimicrobial Activity against Bacillus subtilis and Other Bacterial Model Organisms in the Absence of Synergistic Metabolites. Microorganisms 10: 779.