ABSTRACT
Kin discrimination in nature is an effective way for bacteria to stabilize population cooperation and maintain progeny benefits. However, so far, the research on kin discrimination for Bacillus still has concentrated on “attack and defense” between cells and diffusion-dependent molecular signals of quorum sensing, kin recognition in Bacillus, however, has not been reported. To determine whether flagellar is involve in the kin recognition of Bacillus, we constructed Bacillus velezensis SQR9 assembled with flagellin of its kin and non-kin strains, and performed a swarm boundary assay with SQR9, then analyzed sequence variation of flagellin and other flagellar structural proteins in B. velezensis genus. Our results showed that SQR9 assembled with flagellin of non-kin strains was more likely to form a border phenotype with wild-type strain SQR9 in swarm assay than that of kin strains, and that non-kin strains had greater variation in flagellin than kin strains. In B. velezensis, these variations in flagellin were prevalent and had evolved significantly faster than other flagellar structural proteins. Therefore, we proposed that flagellin is an effective tool partly involved in the kin recognition of B. velezensis strains.
IMPORTANCE Kin selection plays an important role in stabilizing population cooperation and maintaining the progeny benefits for bacteria in nature. However, to date, the role of flagellin in kin recognition in Bacillus has not been reported. By using rhizospheric Bacillus velezensis SQR9, we accomplished flagellin region interchange among its related strains, and show that flagellin acts as a mediator to distinguish kin from non-kin in B. velezensis. We demonstrated the polymorphism of flagellin in B. velezensis through alignment analysis of flagellin protein sequences. Therefore, it was proposed that flagellin was likely to be an effective tool for mediating kin recognition in B. velezensis.
KEYWORDS: Bacillus velezensis, kin recognition, bacterial flagellum, variation of flagellin sequences, flagellin tertiary structure prediction, variation of hag gene
INTRODUCTION
In the natural environment, bacteria have a variety of multicellular cooperation lifestyles including biofilm (1), quorum sensing (2), swarming (3), sliding motility (4), production of extracellular enzymes (5), and labor division (6). It is advantageous for them to increase nutrient acquisition, resist unfavorable environments, avoid predation, and enhance the chance of survival and reproduction (7). A mechanism known as kin discrimination is used by bacteria to promote cooperative behavior among populations (8, 9). Kin discrimination means that bacteria treat organisms differently based on their kinship. They cooperate with organisms recognized as kin while competing with organisms recognized as non-kin (10–12). The 4 genes, gyrA, rpoB, recA, and dnaJ, have been used to determine the kinship of 39 Bacillus subtilis strains. In an analysis of the 4 genes, it was found that bacteria with similarities over 99.5% could be characterized as kin. The 2 kin strains merged on the swarm plate, while non-kin strains formed a boundary. In addition, kin strains can form a mixed biofilm on the root surface, but non-kin are not (13). Afterward, it was also discovered that the strains that do not produce surfactin could exploit the surfactin produced by the kin strains to restore part of the swarming motility ability, while the non-kin strains cannot provide this help (14). Kin discrimination is greatly important for bacteria to survive and development and fitness capabilities, but concrete research of molecular mechanisms is limited.
The research on bacterial kin discrimination mechanism is mostly focused on Gram-negative bacteria, such as Proteus mirabilis (15), Escherichia coli (16), Myxococcus xanthus (17, 18), and Pseudomonas aeruginosa (19); there are few studies on kin discrimination of Gram-positive bacteria, mainly including Staphylococcus aureus (20) and B. subtilis (21). In his review, Wall roughly summarizes the kin discrimination process of bacteria into 3 steps: receptor-ligand or receptor-receptor binding to recognition, signal or biochemical perception, and behavioral response (11). The research on kin discrimination for Bacillus has so far concentrated on “attack and defense” between cells, which is the second step of kinship discrimination. The kin discrimination system is highly complicated, involving genes encoding for proteins with a variety of functions, including microbial attack and defense genes: wapAI, sdpABC, sdpIRs and skfA-H, toxin, and immunity genes: sunA and bacA, and antibiotic attack-related genes: lytST, yvrHB and sigW, etc (10). The first step of kin recognition remains at the level of quorum sensing, which is a cell population behavior mediated by diffusion-dependent molecular signals (22), however, there is no report on whether there is a kin recognition mechanism in Bacillus.
Flagella is a complex structure regulated by a series of genes in bacteria (23). It is divided into 3 parts: trans-membrane basal body, hooks, and filaments, up to 15 μm in length (24). Flagella participates in both swimming and swarming motility, which are 2 important forms of bacteria movement (3, 25). Filaments are hollow tubes formed by the polymerization of flagellin monomers and are located outside the cell (26). Flagellin is divided into 4 domains: D0, D1, D2, and D3. The D0 and D1 domains are involved in the aggregation of flagellin monomers into flagellar filaments, which are highly conserved in various flagellated bacteria and are a microbe-associated molecular pattern. Flagellin D2 and D3 domains are not present in all flagellated bacteria, and their deletion weakens flagellin's intrinsic antigenicity but does not interfere with its immunostimulatory effects (27–29). Research has been conducted on the recognition and induction of various cells to bacterial flagella in recent years. For example, cells in vertebrates have evolved pattern recognition receptors, including TLR5 and NLRC4, which recognize the highly conserved region of flagellin as a danger signal (30). Plant cells recognition receptor FLS2, which can detect the 22 amino acids at the conserved N-terminal of flagellin, triggering a series of immune responses (31). A specific methanogenic archaeon perceived a bacterial flagellum protein and activated its methanogenesis, which suggests that the bacterium communicates with the archaeon by using its flagellum (32). However, the mechanism of bacteria-bacteria communication via flagella is poorly understood.
The filaments that extend outside the bacterial cell are several times longer than the cell body, and they might be used as a medium for mediating communication between bacteria, as the first step in kin discrimination. To date, it has not been reported whether flagellar are involved in bacterial recognition, or whether they are related to the evolution of strains of bacteria. In this study, a set of hag genes were exchanged to Bacillus velezensis with different phylogenetic distances from B. velezensis SQR9, to learn how differences in filament lead to a difference in recognition. In addition, we also performed an in-depth analysis of the sequence variation of flagellin and other flagellar structural proteins within B. velezensis species. The results showed that differences in flagellar filaments would alter the recognition phenotype of the strain on semi-solid plates, suggesting flagellin is involved in kin recognition of B. velezensis strains.
RESULTS
The lack of flagellin impairs kin recognition of B. velezensis SQR9.
The flagella are very important motility organs for the bacterium, and the bacteria without flagella are not able to swim and swarm (3, 25). B. velezensis SQR9 is a plant-growth promoting rhizobacteria (PGPR) strain, isolated from cucumber rhizosphere soil. B. velezensis SQR9 mutant strain Δhag lacked flagellar filaments and did not swarm on a Semi-solid medium (Fig. 1A, B, D, and E). The strain SQR9wt (wild type) merged with itself on the swarming plate (Fig. 1G, white arrows), while cannot merge with mutant Δhag without flagellar filaments, and even it avoided the surrounding area of Δhag to grow (Fig. 1G, black arrows). Moreover, we used the Δsrf (the surfactin synthetic gene mutant) as a control with motility mutants different than Δhag. Results showed that Δsrf mutant of B. velezensis SQR9 has the complete and normal flagella as the wild-type strain (Fig. 1C), but loses its swarming ability (Fig. 1F). When the Δsrf mutant meets the SQR9 wild-type during swarm assay, they merged on the swarm plate (Fig. 1H). These results indicated that flagellin is potentially involved in kin recognition for B. velezensis SQR9. Additionally, we observed that the Δsrf mutant with impaired swarming ability could exploit surfactin from wild-type as biosurfactant to restore its swarming ability (Fig. 1H), and these observations were consistent with the formerly report by Nicholas A. Lyons and Roberto kolter (33). Based on the results, kin recognition and cooperation were hindered between the mutant strain and the wild-type strain, suggesting that bacterial flagellar filaments might play a role in kin recognition in B. velezensis.
FIG 1.
Deletion of hag gene in B. velezensis SQR9 resulted in the loss of flagella filaments and phenotype changes in the swarm boundary assay with itself. The transmission electron microscopy photos of the SQR9wt (A) and Δhag mutant (B) showed that deletion of the flagellin hag gene prevented the strain from growing flagellar filaments, and deletion of the srf gene did not affect bacterial flagella assembly (C). The HT7700 transmission electron microscope (TEM) was operated at 80 kV to observe and photograph. The swarm phenotype of the SQR9wt (D), Δhag (E), and Δsrf (F) displayed that the absence of flagellar filaments or surfactin renders the strain incapable of the swarm. (G) the loss of flagellar filaments hindered kin discrimination between SQR9wt and Δhag in swarm assay. (H) Synthesis defect of surfactin did not affect kin discrimination between SQR9wt and Δsrf in swarm assay. The white arrows represented merge phenotype, while the black arrows represented boundary phenotype. All results are representative of three experiments.
B. velezensis SQR9 assembled with “non-kin” flagella now behaved as non-kin when confronted with the wild-type in swarming assay.
To study how flagellar filaments affect kin recognition ability in B. velezensis, we collected 20 strains belonging to B. velezensis, constructed a phylogenetic tree, and performed a swarm boundary assay between SQR9 and other 19 strains, to characterize kinship distance between 20 strains (Fig. 2). The phylogenetic tree was constructed basing the housekeeping gene gyrA (2264 bp), and 9 strains had the same gyrA gene sequences as SQR9 and on a phylogenetic tree branch, the other 10 strains had different gyrA gene sequences from SQR9 and were located on different tree branches (Fig. 2A). 9 strains on the same branch with SQR9 formed merge with SQR9 on swarming plates (defined as kin), while 10 strains on different branches without SQR9 formed boundary phenotype with SQR9 (defined as non-kin) (Fig. 2B). Interestingly, among the non-kin strains and SQR9, the boundary width was positively correlated with kinship distance (Fig. S1).
FIG 2.
The recognition phenotype of B. velezensis SQR9 and its relative on swarm plate varied from merging to the boundary with their phylogenetic distance. (A) The tree was constructed on gyrA gene sequences (2264 bp) using MEGA (v.5.05) for Neighbor-Joining, the B. subtilis 168 (NC_000964.3) was selected as the outgroup. And the reliability of clades was tested by the 1000 bootstrap replications. (B) displayed swarm phenotype of B. velezensis SQR9 and 20 strains, which were sorted according to the phylogenetic distance between 20 strains and SQR9 on the tree from near to far. The first two rows were the kin of SQR9, which merged with SQR9; the last two rows were the non-kin of SQR9, which formed a boundary with SQR9, and the boundary tends to widen with the increase of the phylogenetic distance between the non-kin strains and SQR9. The results are representative of three experiments.
The swarm boundary width of SQR9 and non-kin strains was positively correlated with their phylogenetic distance. (A) The tree was constructed on gyrA gene sequences (2264bp) using MEGA (v.5.05) for Neighbor-Joining, the B. subtilis 168 (NC_000964.3) was selected as the outgroup. And the reliability of clades was tested by the 1000 bootstrap replications. (B) The swarm boundary width of SQR9 and 10 non-kin strains from the phylogenetic distance. Each pair of strains included 9 replicates of the swarm boundary assay phenotype, and each replicate was measured three times using the Image J (v.1.53c). The point plots were drawn using the ggplot2 package and linear regression analysis is performed using the lm() function in R (v.4.0.3). Download FIG S1, JPG file, 0.4 MB (451.8KB, jpg) .
Copyright © 2022 Liu et al.
This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.
After knowing the kinship of those 20 B. velezensis strains, 4 strains with different kinship distances to strain SQR9 were selected: SQR9, FZB42, NB20, and ACCC02961. These 4 strains all possessed complete pericyte flagella and superior swarm motility (Fig. S2A, G-I), and were all merged with themselves on swarming plates (Fig. S3E-H). Four plasmids containing hag genes amplified from genome DNA of these 4 strains were transformed into mutant Δhag of SQR9, respectively. The Δhag carrying corresponding plasmids were respectively named Δhag-hagSQR9, Δhag-hagFZB42, Δhag-hagNB20, and Δhag-hagACCC02961. Transmission electron microscope (TEM) images showed that the flagellar filaments were recovered after the transformation of the plasmid, which contains a different hag gene (Fig. S2C-F). Interestingly, the Δhag-hagSQR9, Δhag-hagFZB42, Δhag-hagNB20, and Δhag-hagACCC02961 restored a certain motility ability on semi-solid plates, however, the first 2 strains recovered considerably more than the latter 2 on swarm assay medium with 0.5% and 0.7% agar (Fig. 3A to F and Fig. S4). In swarm boundary assay, Δhag-hagSQR9 and Δhag-hagFZB42 could merge with SQR9wt (Fig. 3G and H and Fig. S3J and K), Δhag-hagNB20 was an intermediate phenotype with SQR9wt (Fig. 3I and Fig. S3L), Δhag-hagACCC02961 even formed boundary phenotype with SQR9wt (Fig. 3J and Fig. S3M). In summary, when Δhag mutant of SQR9 was complemented different flagellar filaments from kin and non-kin strains, the swarm phenotypes against wild-type SQR9 are similar to donor strains of hag gene.
FIG 3.
Wild-type strain SQR9 and its relatives (Δhag mutant of SQR9 assembled with flagellin of kin and non-kin strains) on swarm plates (0.7% gar) show different recognition phenotypes. (A) to (F) The farther the phylogenetic distance between the source strains of flagellin complemented and SQR9, the more difficult it is to restore the swarm ability of flagellin mutant Δhag. The swarm phenotypes of single strain were displayed, including SQR9wt (A), Δhag (flagellin mutant of SQR9) (B), Δhag-hagSQR9 (Δhag carrying hag gene of kin strain SQR9) (C), Δhag-hagFZB42 (Δhag carrying hag gene of non-kin strain FZB42) (D), Δhag-hagNB20 (Δhag carrying hag gene of non-kin strain NB20) (E) and Δhag-hagACCC02961 (Δhag carrying hag gene of non-kin strain ACCC02961) (F). The hag genes were complemented into Δhag using plasmids. (G–J) The farther the phylogenetic distance between the source strains of flagellin complemented and SQR9, the more similar the swarming phenotype of SQR9 carrying heterologous flagellin and SQR9wt to that of SQR9wt and Δhag. The swarm phenotypes of two strains were shown, including SQR9wt and Δhag-hagSQR9 (G), SQR9wt and Δhag-hagFZB42 (H), SQR9wt and Δhag-hagNB20 (I), SQR9wt and Δhag-hagACCC02961 (J). The pictures of the plates were acquired 48 h after inoculation, and the results are representative of three experiments.
The flagellin mutant Δhag complemented with the hag gene of kin and non-kin strains restored flagellar filaments growth. The transmission electron microscopy photos of strain were displayed, including SQR9wt (A), Δhag (flagellin mutants of SQR9) (B), Δhag-hagSQR9 (Δhag carrying hag gene of kin strain SQR9) (C), Δhag-hagFZB42 (Δhag carrying hag gene of non-kin strain FZB42) (D), Δhag-hagNB20 (Δhag carrying hag gene of non-kin strain NB20) (E), Δhag-hagACCC02961 (Δhag carrying hag gene of non-kin strain ACCC02961) (F), FZB42wt (G), NB20wt (H) and ACCC02961wt (I). The HT7700 transmission electron microscope (TEM) was operated at 80 kV to observe and photograph. Download FIG S2, JPG file, 0.9 MB (986.6KB, jpg) .
Copyright © 2022 Liu et al.
This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.
Swarm ability of strains SQR9wt (A), FZB42wt (B), NB20wt (C) and ACCC02961wt (D) on swarm plate (0.7% agar). The merging phenotype of strains SQR9wt (E), FZB42wt (F), NB20wt (G) and ACCC02961wt (H) with itself on swarm plate (0.7% agar). The merging phenotype of Δhag mutant (I) and SQR9 carrying heterologous flagellin (Δhag-hagSQR9 [J], Δhag-hagFZB42 [K], Δhag-hagNB20 [L], Δhag-hagACCC02961 [M]) with itself on swarm plate (0.7% agar). The pictures of the plates were acquired 48h after inoculation, and the results are representative of 3 experiments. Download FIG S3, JPG file, 1.1 MB (1.1MB, jpg) .
Copyright © 2022 Liu et al.
This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.
The flagellin mutant Δhag complemented with the hag gene of kin and non-kin strains restored motility ability. The motility ability of strains was tested using a B medium with 0.3%, 0.5%, and 0.7% agar. The halo area of strains was measured in Image J (v.1.53c) after 24 h of inoculation. The results are representative of three experiments. The bars with different letters are statistically different according to the two-sided Duncan’s multiple range tests (P < 0.05). Download FIG S4, JPG file, 0.4 MB (438.6KB, jpg) .
Copyright © 2022 Liu et al.
This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.
Production of bacillunoic acid by Δhag mutant and its flagellin gene complementary strains is similar to SQR9 wild type.
We demonstrated in previous studies that changes in flagella (deletion or replacement with non-kin flagella) resulted in a change in the recognition phenotype (from merge to boundary) of the mutant and complemented strains with SQR9wt on swarm plate. Whether this phenomenon is caused by changes in the flagella or by changes in the secretion of antibiotics needs to be further explored. Our previous work shows that B. velezensis SQR9 can secrete a variety of antibacterials, including 3 lipopeptides bacillomycin D, fengycin and bacillibactin; three polyketides bacillaene, difficidin, and macrolactin (34, 35). Moreover, a novel antimicrobial fatty acid, named Bacillunoic acids, which showed strong antibacterial against closely related Bacillus strains (36). In our preliminary experiments, strains of 6 mutants: Δbmy (synthetic gene mutant of bacillomycin D), Δfen (synthetic gene mutant of fengycin), Δdhb (synthetic gene mutant of bacillibactin), Δbae (synthetic gene mutant of bacillaene), Δdfn (synthetic gene mutant of difficidin), and Δmln (synthetic gene mutant of macrolactin), both merged with SQR9wt (Fig. S5A to F) and showed similar boundary phenotype with non-kin strains ACCC02961 as SQR9wt strain (Fig. S5H to M). Only the ΔGI mutant (the bacillunoic acid synthetic gene mutant) formed boundary phenotype with SQR9wt (Fig. S5G) and formed a weakened boundary phenotype with non-kin strains FZB42, NB20 and ACCC02961 (Fig. 4A to C), indicated that bacillunoic acid is partly involved in the kin discrimination of SQR9.
FIG 4.
The deletion and complementation of the hag gene of SQR9 had no significant effect on the production of antibacterial substances Bacillunoic acids. Compared with SQR9wt, the ΔGI mutant (the bacillunoic acid synthetic gene mutant) formed a weakened boundary phenotype with non-kin strains FZB42 (A), NB20 (B) and ACCC02961 (C). The ΔGI is a deletion mutant of the gene island in strain SQR9 for the synthesis of bacillunoic acids. The pictures of the plates were acquired 48 h after inoculation, and the results are representative of three experiments. (D) The photo of the antagonism circle assay of B. velezensis FZB42 by the fermentation supernatant of strains SQR9wt, Δhag, and four hag gene complemented strains (Δhag-hagSQR9, Δhag-hagFZB42, Δhag-hagNB20 and Δhag-hagACCC02961). (E) The production of Bacillunoic acids in SQR9 wild-type, Δhag mutants, Δhag-hagSQR9, Δhag-hagFZB42, Δhag-hagNB20 and Δhag-hagACCC02961, was assessed using the antagonism assay of the fermentation supernatant of the tested strain to B. velezensis FZB42. The antagonism assays for each strain included nine replicates. The box plots were drawn using R (v.4.0.3), and the analysis of significant differences was performed using Duncan’s multiple range tests (P < 0.05) on SPSS (v. 25).
Only the secondary metabolite bacillunoic acid was involved in kin discrimination of B. velezensis SQR9. The swarm boundary assays: (A) SQR9 and Δbmy (synthetic gene mutants of bacillomycin D); (B) SQR9 and Δfen (synthetic gene mutants of fengycin); (C) SQR9 and Δdhb (synthetic gene mutants of bacillibactin); (D) SQR9 and Δbae (synthetic gene mutants of bacillaene); (E) SQR9 and Δdfn (synthetic gene mutants of difficidin); (F) SQR9 and Δmln (synthetic gene mutants of macrolactin); (G) SQR9 and ΔGI (synthetic gene mutants of bacillunoic acid); (H) SQR9, ACCC02961 and Δbmy; (I) SQR9, ACCC02961 and Δfen; (J) SQR9, ACCC02961 and Δdhb; (K) SQR9, ACCC02961 and Δbae; (L) SQR9, ACCC02961 and Δdfn; (M) SQR9, ACCC02961 and Δmln; (N) SQR9, ACCC02961 and ΔGI. Download FIG S5, JPG file, 1.2 MB (1.2MB, jpg) .
Copyright © 2022 Liu et al.
This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.
The bacillunoic acids secreted by SQR9 into the fermentation supernatant can effectively antagonize B. velezensis FZB42, making it form an antagonistic circle around the Oxford cup with the fermentation supernatant. We compared the production of bacillunoic acids by using the method of the antagonistic circle diameter measurement (Fig. 4D). Results showed that deletion of flagella or complementation for the various hag genes in SQR9 does not affect bacillunoic acid production (Fig. 4E). In addition, we tested the surfactin production of SQR9wt and Δhag mutant in liquid culture using high-performance liquid chromatography. Again, similar production of surfactin was observed between the 2 strains (Fig. S6). These results are consistent with our conclusion that flagellin is partly involved in kin recognition in B. velezensis SQR9 without affecting the antibacterial compounds production.
The deletion of the hag gene of SQR9 had no significant effect on the production of antibacterial substances surfactin. Chromatographic peaks of surfactin standard (A) and SQR9wt (B) and Δhag mutant (C) fermentation supernatant. The peaks pointed to by the black arrows are the peaks of the 3 homologs of surfactin of interest in this study. (D) The production of surfactin in SQR9 wild-type and Δhag mutants was assessed using high-performance liquid chromatography (HPLC). The peak areas shown are the sum of the chromatographic peak areas of the 3 surfactin homologs. Each strain sample was tested three times, and the analysis of significant differences was performed using the independent sample T-Test (P < 0.05) on SPSS (v. 25). Download FIG S6, JPG file, 0.7 MB (750KB, jpg) .
Copyright © 2022 Liu et al.
This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.
For B. velezensis, the flagellin heterogeneity of non-kin strains is much higher than kin.
The results above suggest that flagellin in B. velezensis strains might be involved in the recognition of kin, we next want to investigate whether the structure of flagellin is related to the kinship. We sequenced the hag gene sequences of the 20 B. velezensis strains and translated them into protein sequences, then analyzed their structural features. Results showed that both ends of the sequences were relatively conservative, and there were only several variant bases, but the middle part of the sequences was very different (Fig. S7). To observe the details of the variable region of the flagellin sequences more clearly, we cut and display the variable region separately (Fig. 5A). The sequences belonging to different strains were sorted according to the gyrA gene similarity of the strains and SQR9, that was, the strain ACCC02961 at the bottom had the farthest kinship with SQR9. The strains on a tree branch with SQR9 have the same flagellin sequence as SQR9. Other strains had an extra sequence in the variable region of the flagellin sequence (the length of sequences was 52–57 aa), except for strain FZB42 (Fig. 2A and Fig. 5A). The flagellin sequence variant region of FZB42 was very similar to SQR9, compare to strains on adjacent branches (Fig. 5A). This may be due to individual differences in strains, or the evolutionary rate of the hag gene was not strictly consistent with the gyrA gene.
FIG 5.
Flagellin sequence and protein structure varied more between non-kin strains than between kin strains in B. velezensis. These pictures showed the variable region of the flagellin sequences of 20 B. velezensis strains (A) and the protein structure prediction of flagellar monomer (B) to (E), flagellar homomer (F) to (I), and flagellar cap (J) to (M) according to four B. velezensis strains: SQR9, FZB42, NB20, and ACCC02961. These prediction structures of flagellin homomer and flagellar cap showed their cross sections from the top view of the filaments. The hag gene sequences were aligned using the L-INS-I method of MAFFT (v7.487) and displayed using Jalview (v.2.11.1.5), and the protein structure of flagellin was predicted on the Swiss-Model website.
The conserved and variable regions of the flagellin sequences from 20 B. velezensis strains. There was a lot of variation in the central region of sequences, and in addition to mutations at individual sites, there were many large insertions and deletions. their lengths were in the range 266-324 aa and were aligned using the L-INS-I method of MAFFT (v7.487) and displayed using Jalview (v.2.11.1.5). Download FIG S7, JPG file, 2.8 MB (2.9MB, jpg) .
Copyright © 2022 Liu et al.
This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.
To clarify what difference the variable region of the flagellin sequence caused, we selected 4 strains that were known genomes: SQR9, FZB42, NB20, and ACCC02961, then applied the entire hag gene sequences to predict the tertiary structure of flagellin and flagellar filaments by using comparative modeling method based on Swiss-model database. The most similar template matched by the flagellin sequences of four strains was the same template 6t17.1.A, and the details of template matching information were placed in Table S1 (see Table S1 at [https://zenodo.org/record/7131344#.Yzei8thBxPY]). Based on the prediction results of the flagellin monomer, the variable region of the flagellin monomers of the NB20 and ACCC02961, which had more β-strands and random coils than that of SQR9 and FZB42 (Fig. 5B to E). After the flagellin monomers were assembled into flagellar filaments, the part of β-strands and random coils was exposed on the periphery of the columnar flagellar filaments (Fig. 5F to I). In addition, we also carried out the protein structure prediction of the flagellar cap structure (Table S1; at [https://zenodo.org/record/7131344#.Yzei8thBxPY]) and found that the flagellar cap structure of the 4 strains was very similar, and they were all composed of 5 protein monomers (Fig. 5J to M). The flagellar cap was first assembled on the flagella, and then helps and regulates the flagellin monomers to gradually assemble into flagellar filaments (37, 38). Therefore, SQR9 can assemble different flagellin monomers into flagellar filaments. Taken together, these results above suggest that flagellin in B. velezensis strains might be involved in the recognition of kin.
The variation of flagellin is higher than other flagellar proteins, and it is not conservative in B. velezensis.
In the above analysis, we observed a wider variation in a specific area of the hag gene among 20 B. velezensis strains, we next want to explore the flagellin diversity of B. velezensis. Therefore, we analyzed the sequence variation of flagellin in 190 B. velezensis strains from the NCBI genome database and used several other flagellar structural proteins as a reference.
During alignment, it was found that the middle region of the flagellin sequences (170-293 sites) showed the most variation (Fig. 6), with many large insertions or deletions, roughly divided into 3 lengths: two amino acids, 21 amino acids, and 110 amino acids (Fig. S9; at [https://zenodo.org/record/7086025#.YyR7PaRBxPY]). The divergence of the flagellin sequences was greater than that of the 20 B. velezensis strains above (Fig. S7). In contrast with the intermediate variable region of flagellin, both ends of flagellin have fairly conservative sequences, with only a few amino acid sites having variation, and the tail (C-terminal) was more conservative than the head-end (N-terminal) (Fig. 6).
FIG 6.
Flagellin sequences logos exhibit dramatic variation in B. velezensis. The variation was mainly concentrated in the 170–293 sites region of flagellin sequences, which contained many large insertions and deletions. These sequences came from 190 B. velezensis strains in the NCBI database, their lengths were in the range of 276–384 amino acids, and were aligned using the L-INS-I method of MAFFT (v7.487) and displayed using WebLogo (v.3.7.4).
In addition, we also analyzed sequence variations of other flagellar proteins, including extramembrane flagellar structural protein: filament cap protein (encoded by fliD gene) (Fig. S8A), junction protein (encoded by flgK and flgL genes) (Fig. S8B and C), hook cap protein (encoded by flgD gene) (Fig. S8D), hook structure protein (encoded by flgE gene) (Fig. S8E); intramembrane protein: flagellar rod structure protein (encoded by flhO gene) (Fig. S8F). The analysis results showed that the primary sequence homology of these proteins was high (Fig. S8B to F), and only the individual amino acid residues of filament cap protein differed (Fig. S8A). The results above indicate that these structures of the flagella of the intraspecies strains of B. velezensis were all extremely conservative, with little variation.
Sequence logos of other flagellar proteins. These flagellar proteins included filament cap protein (encoded by fliD gene) (A), junction protein (encoded by flgK [B] and flgL [C] genes), hook cap protein (encoded by flgD gene) (D), hook structure protein (encoded by flgE gene) (E); and flagellar rod structure protein (encoded by flhO gene) (F). These protein sequences were quite conservative, with only a few sites of variation. These sequences came from 190 B. velezensis strains in the NCBI database, were aligned using the L-INS-I method of MAFFT (v7.487), and displayed using WebLogo (v.3.7.4). Download FIG S8, JPG file, 2.3 MB (2.4MB, jpg) .
Copyright © 2022 Liu et al.
This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.
In summary, the specific area of flagellin has large variation within B. velezensis strains and the variation degree of flagellin is higher than that of other structural proteins of flagella, whether the N-terminal conserved region or the central variable region, indicating that flagellin evolved faster than other structural proteins of flagella in B. velezensis.
DISCUSSION
In the natural environment, bacteria will use a variety of methods to maximize the benefit of progeny, and kin discrimination is one of them (21). In this study, we investigated whether flagella were involved in kin recognition of B. velezensis strains. To clarify the role that flagella play in kin recognition, we performed an exchange experiment of kin and non-kin strain’s flagellin on B. velezensis SQR9, then detected their swarm phenotype. Our results showed that flagellin heterogeneity (from kin or non-kin strains) affected recognition of B. velezensis strains.
The hag gene encodes Bacillus flagellin, and its absence makes SQR9 unable to synthesize flagellar filaments (39). Electron micrographs showed that mutant Δhag has no flagella (Fig. 1B). Strains cannot swarm without flagella (Fig. 1E) but can slide, a short-distance migration movement that does not depend on flagella (40), which accounts for the ability of the Δhag community to spread outward from the inoculation site (Fig. 1E and G). When SQR9wt with flagellar filaments encounter mutant Δhag without flagellar filaments, it will detour (Fig. 1G), instead of the same strain as kin to merge (10), which implied that the lack of flagella filaments changed inherent patterns of communication and cooperation between the 2 populations.
The next stage of investigation revolves around 20 strains of B. velezensis, and the strains with farther kinship distance from SQR9 had wider swarm boundaries with SQR9 (Fig. 2 and Fig. S1), which was consistent with previous reports (13, 33). Here, we need to note that we used B. velezensis as a model given the numerous strains that have been collected. Many plant-growth promoting strains (Bacillus amyloliquefaciens, among others) were reclassified as B. velezensis (41). Then, flagellin of 4 strains (SQR9, FZB42, NB20, and ACCC02961) with different kinship distances from SQR9 was swapped to SQR9, and the results showed that the swarming phenotype between SQR9wt and SQR9 with heterologous flagellin filaments was related to the flagellin divergence of the 2 strains (Fig. 3G to J). The hag mutant strain of SQR9 assembling flagellin from its kin merged with wild type when they encountered each other on swarming plates; however, the hag mutant strain of SQR9 assembling flagellin of non-kin strains (NB20 and ACCC02961) forms boundary with wild type. Flagellin region interchange experiments further confirmed that flagella are involved in the kin recognition in B. velezensis SQR9.
The execution of outer membrane exchange in M. xanthus requires the initial recognition of 2 cell surface proteins, TraA and TraB, and successful outer membrane exchange can only be achieved when they both are present and have the same or similar structures (42, 43). Some strains of α-, β-, and gammaproteobacteria use the CDI (contact-dependent inhibition) system to secrete adhesins for primary recognition with surface receptors of neighboring cells (44, 45). In our study, flagellin played a role in the kin recognition of B. velezensis SQR9. However, the same SQR9-body means that they have the same virulence and immune system (11), therefore even if they are identified as non-kin as the difference in flagellin, they cannot attack and kill each other.
Given this, we analyzed the differences between the hag gene and flagellin structure between kin and non-kin strains. The results showed that the central region length of hag gene sequences of kin and non-kin strains varied greatly, ranging from 52 aa to 57 aa (Fig. 5A), which encodes the β-sheet and coils on the D2 domains of the flagellin monomer. Research has shown that the D2 domains contribute to the stability of flagellar filaments and that deletion of the domain also affects the primary anti-flagellin responses (46). In the study, the 4 Bacillus strains of flagellin did not contain the D3 domain and had 2 types of flagellin: without D2 domain (SQR9 and FZB42), containing D2 domain (NB20 and ACCC02961) (Fig. 5B to I). The lengths of amino acid sequences of flagellin vary widely among bacteria, especially the variable region at the center, ranging from 8 amino acid residues in Clostridium tetani to 247 amino acid residues in Helicobacter pylori (29). This part of the structure does not participate in the polymerization of flagellin monomers. After the flagellin monomer is assembled into filaments, the structure will be exposed on the periphery of the filaments and directly in contact with the outside environment (29, 47). The wide variation in flagellin structures within species makes them potentially capable of mediating bacterial-bacterial recognition.
Our results showed that flagellin heterogeneity (from kin or non-kin strains) affected recognition of B. velezensis strains. (Fig. 5). Such high variability and rapid evolution of flagellin were reported to exist in many species (48, 49), including 2 levels: the first level is the large difference in flagellin variable regions, which may involve gene transfer across phyla; the second level is that there are evolutionary variations in species, similar to the evolution of other conserved genes (49). For Bacillus, sequence diversity of flagellin within the same species has been widely investigated. In Bacillus cereus and Bacillus thuringiensis, flagellin sequence variation is one of the bases for classification (48). Here we found that flagellin sequence variation may plays an important role in kin recognition between B. velezensis strains. These indicate that the hag gene has a stronger response to environmental pressure. This intraspecific flagellin differential phenotype is likely to be a differential expression of intraspecific species communication.
In conclusion, our research showed that the flagellin contributes to the kin recognition between B. velezensis strains. However, the specific identification mechanism remains to be explored. In follow-up experiments, it would be interesting to investigate further whether the communication mechanism is flagellar-flagellar or flagellin-receptor specific in Bacillus spp.
MATERIALS AND METHODS
Strains information and cultural condition.
A list of strains in the study can be found in Table 1, including 20 strains belonging to B. velezensis and several mutants of SQR9 (the strain accession number is 5808 in the China General Microbiology Culture Collection Center, CGMCC, and the genome accession number CP006890 in the National Center for Biotechnology Information [NCBI]). All strains came from Laboratory stock or were isolated from soil (Table 1). All strains were grown at 37°C in low-salt LB (LLB) medium, including 10 g of Tryptone, 5 g of yeast extract, and 3 g of NaCl per L.
TABLE 1.
Microorganisms used in this study
| Strains | Genotype | Reference or source |
|---|---|---|
| B. velezensis SQR9 | Wild type | 60 |
| B. velezensis FZB42 | Wild type | 61 |
| B. velezensis CC10 | Wild type | This study |
| B. velezensis TLi20 | Wild type | This study |
| B. velezensis LN1 | Wild type | This study |
| B. velezensis b10 | Wild type | This study |
| B. velezensis DY24 | Wild type | This study |
| B. velezensis RZ17 | Wild type | This study |
| B. velezensis SXL34 | Wild type | This study |
| B. velezensis CF14 | Wild type | This study |
| B. velezensis NJ21 | Wild type | This study |
| B. velezensis GZL15 | Wild type | This study |
| B. velezensis RZ28 | Wild type | This study |
| B. velezensis LYi1 | Wild type | This study |
| B. velezensis TLi16 | Wild type | This study |
| B. velezensis NB20 | Wild type | This study |
| B. velezensis NJ29 | Wild type | This study |
| B. velezensis KF29 | Wild type | This study |
| B. velezensis YX17 | Wild type | This study |
| B. velezensis ACCC02961 | Wild type | This study |
| B. velezensis SQR9--pUBXC | B. velezensis SQR9 with pUBXC, ZeoR | 62 |
| Δhag | Mutant of B. velezensis SQR9, hag::Em (ZeoR SpcR) | This study |
| Δbmy | Mutant of B. velezensis SQR9, ΔbmyD-C (ZeoR) | |
| Δfen | Mutant of B. velezensis SQR9, ΔfenA-E (ZeoR) | |
| Δdhb | Mutant of B. velezensis SQR9, ΔdhbA-F (ZeoR) | |
| Δbae | Mutant of B. velezensis SQR9, ΔbaeB-R (ZeoR) | 63 |
| Δdfn | Mutant of B. velezensis SQR9, ΔdfnA-M (ZeoR) | |
| Δmln | Mutant of B. velezensis SQR9, ΔmlnA-I (ZeoR) | |
| Δsrf | Mutant of B. velezensis SQR9, ΔsrfAA-AD (ZeoR) | |
| ΔGI | Mutant of bacillunoic acid synthesis gene island in B. velezensis SQR9, GI::Cm (ZeoR CmR) | 36 |
| Δhag-hagSQR9 | B. velezensis SQR9, hag::Spc, pNW33N-hagSQR9 (ZeoR SpcR CmR) | This study |
| Δhag-hagFZB42 | B. velezensis SQR9, hag::Spc, pNW33N-hagFZB42 (ZeoR SpcR CmR) | This study |
| Δhag-hagNB20 | B. velezensis SQR9, hag::Spc, pNW33N-hagNB20 (ZeoR SpcR CmR) | This study |
| Δhag-hagACCC02961 | B. velezensis SQR9, hag::Spc, pNW33N-hagACCC02961 (ZeoR SpcR CmR) | This study |
Construction of mutants and flagellin gene complementary strains of B. velezensis SQR9.
To delete the hag gene in the SQR9 genome, the upstream and downstream regions (1039 bp and 973 bp) that flanked the hag gene were amplified from the SQR9 genome, and the primers used to amplify upstream and downstream regions were: up-F (5′-CTCGTCGACATTGACTGCATT-3′) and up-R (5′- CGTTACGTTATTAGTTATGCTAGTGTTAAGAGCCGCGAT-3′), down-F (5′-TATAGCATACATTATACGTGCGCAAGCTAACCAACAGC-3′) and down-R (5′-CGGCATTGGCCGTCAGTTCA-3′). The spectinomycin (Spc) resistance gene was amplified from plasmid P7S6 using the primers spc-F (5′-ATCGCGGCTCTTAACACTAGCATAACTAATAACGTAACG-3′) and spc-R (5′-GCTGTTGGTTAGCTTGCGCACGTATAATGTATGCTATA-3′), and the amplified regions (1029 bp) contained 18 bp overlap with the upstream and downstream fragments of the hag gene, respectively. The mixture volume (50 μL) for amplifying upstream, downstream, and Spc resistance gene fragments was: 18 μL of water, 1 μL of 1 × Phanta Max Master Mix DNA polymerase (Vazyme), 1 μL of dNTP mix, 25 μL of Buffer, 2 μL of the forward primer, 2 μL of the reverse primer, and 1 μL of DNA template. The PCR program was performed under the following conditions: 98°C for 2 min and 32 cycles at 98°C for 10 s, 55°C for 10 s, and 72°C for 4 min.
Upstream, downstream, and spc resistance gene fragments were fused using the method of two-step overlapping PCR (50). The mixture volume (25 μL) for the first step was: 5 μL of water, 0.5 μL of 1 × Phanta Max Master Mix DNA polymerase (Vazyme), 1 μL of dNTP mix, 12.5 μL of Buffer, 2 μL (100 ng) of the upstream fragment, 2 μL (100 ng) of downstream fragment, and 2 μL (100 ng) of resistance gene fragment. The PCR program was performed under the following conditions: 98°C for 2 min and 12 cycles at 98°C for 10 s, 50°C for 10 s, and 72°C for 4 min. For the second step, the mixture volume (50 μL) contained 18 μL of water, 1 μL of 1 × Phanta Max Master Mix DNA polymerase (Vazyme), 1 μL of dNTP mix, 25 μL of Buffer, 2 μL of the primer up-F (the forward primer of the upstream fragment), 2 μL of the primer up-R (the reverse primer of the downstream fragment), and 1 μL of product from the first PCR step. In addition, the PCR program was performed under the following conditions: 98°C for 2 min and 32 cycles at 98°C for 10 s, 55°C for 10 s, and 72°C for 4 min.
After purification of the fused fragment of 3 genes (upstream, downstream, and Spc resistance gene), the transformation was conducted by the artificial induction of genetic competence. When SQR9 with plasmid pUBXC (carrying the xylose-inducible comK expression cassette) was cultivated to an OD600 of 0.5 in LB medium, 1% (wt/vol) xylose was added. After 1 h of incubation, 20 μL fused fragment was mixed with 200 μL SQR9 cells in a 2 mL centrifuge tube and incubated at 37°C for 7 h. Then, cells were plated on LB agar plates including 100 μg mL−1 Spc, and the correct mutants were verified by sequencing (51).
To obtain 4 flagellin gene complemented strains B. velezensis SQR9, the hag gene of these strains: SQR9, FZB42, NB20, and ACCC02961 were amplified with primers hag (F:5′-GCTCTAGAGAAGCGCCTCAGCACGTAGA-3′, R:5′-CGCGGATCCGAGAACCAGGGATCTTTCCGTC-3′) containing 2 cleavage site of restriction endonuclease (XbaI: TCTAGA and BamHI: GGATCC), and the amplification of the hag gene fragments was the same as above. Then, the obtained fragments were ligated into the plasmid pNW33N (52) using restriction enzyme ligation technology.
The hag gene fragments and plasmid pNW33N (carry chloramphenicol [Cm] resistance gene) were digested with restriction endonucleases: XbaI and BamHI (TaKaRa), and the reaction system and conditions were referred to the instructions on the website of the TaKaRa bio (https://www.takarabiomed.com.cn/Product.aspx?m=20150106133447710028). After that, the hag gene fragment with the 2 sticky ends exposed and the plasmid pNW33N was ligated overnight at 16°C, and the enzymatic ligation system was as follows (10 μL): 5 μL Solution I (TaKaRa), 1 μL (100 ng) plasmid pNW33N and 4 μL (400 ng) hag gene fragment. The ligation mixture was transferred into Δhag mutant with plasmid pUBXC using the xylose induction method mentioned above. Then, cells were plated on LB agar plates including 100 μg mL−1 Spc and 5 μg mL−1 Cm, and the correct complement strains were verified by extracting plasmid and sequencing. All these mutants and flagellin gene complementary strains are listed in Table 1.
Swarm assay.
Swarm assays were performed on the 9 cm plates containing B-medium with 0.7% agar at 37°C (13). Strains were grown on solid LLB plates at 37°C for 12 h before use and then transferred to 3 mL of liquid B-medium and shaken overnight at 37°C. The overnight cultures were then diluted to an optical density (OD600) of 0.5, and 2 μL was spotted on the agar plates. The plates with a cover were dried in a laminar flow hood for 30 min, sealed and incubated for 2 days at 37°C, and photographed. Regarding the determination of boundary widths of non-kin strains in swarm boundary assays, each pair of strains included 6 replicates of the swarm boundary phenotype, and each replicate was measured three times using the Image J (v.1.53c) (53). The point plots were drawn using the ggplot2 package and linear regression analysis is performed using the lm() function in R (v.4.0.3).
Motility test.
To test the motility ability of different strains, 3 kinds of B-medium with 0.3%, 0.5%, and 0.7% agar were selected. The strain preparation and culture conditions were the same as above. Pictures of the plates were acquired 24 h after inoculation. The halo area of the strains was measured in Image J (v.1.53c).
Determination of surfactin production.
Forty milliliters of sterile supernatant of the tested strains were cultured in Landy medium (54) at 30°C for 60 h, the pH was adjusted to 2.0 with 6 mM HCl, and sat at 4°C overnight. It was then centrifuged to retain the pellet, 4 mL of methanol (LC/MS, Merck) was added to soak for 5 h, and the sample was filtered through a 0.22 μm membrane to obtain a sterile crude extract, which was stored at 4°C for testing.
Determination of surfactin production of the strains was performed using an HPLC 1200 apparatus (1200 series; Agilent). A high performance liquid chromatography (HPLC) system equipped with an Agilent ZORBAX Eclipse XDB-C18 (250 × 4.6 mm, 5 μm) column was operated and maintained at 30°C. A mobile phase mixture consisting of an Acetonitrile and 0.1% (vol/vol) CH3COOH solution (ratio of 88:12) was pumped in an isocratic mode with a flow rate of 0.84 mL min−1. The injection volume of the sample was set at 20 μL and was detected through a VWD detector at 210 nm. Each analysis was completed within 20 min.
Surfactin standard solution (1000 mg L−1) was prepared from 99% pure surfactin (shyuanye). The surfactin substance peaks in the sample to be tested were determined by comparing the chromatographic peak of the sample with the surfactin standard solution, and the yield of surfactin in the sample was characterized by the sum of the absorbance values of the last 3 well-separated surfactin substance peaks. Each sample was tested in triplicate. Analysis of significant differences was performed using independent sample T-Test (P < 0.05) on SPSS (v. 25).
Yield determination of bacillunoic acids.
The bacillunoic acid production of strains SQR9, Δhag, Δhag-hagSQR9, Δhag-hagFZB42. Δhag-hagNB20, and Δhag-hagACCC02961 were evaluated by the inhibitory effect of the fermentation supernatant on the target strain B. velezensis FZB42.
Five milliliters of a diluted overnight culture of FZB42 (~105 CFU mL−1) was spread onto LLB plates (10 × 10 cm) to be grown as a bacterial lawn. The supernatant of the strain to be tested that was cultured in medium B for 48 h (37°C, 170 rpm), was concentrated 3 times using a centrifugal filter (10 kDa, Amicon Ultra-15), then 180 μL was added to the Oxford cup on the bacterial lawn, and then the plate was placed at 22°C until a clear zone formed around the Oxford cup. It was then photographed, and the antagonistic circle was measured. The antagonism assays for each strain included 9 replicates. The box plots were drawn using R (v.4.0.3).
PCR amplification.
Genomic DNA was extracted using omega Bacterial DNA Kit D3350 (Omega, Bio-tek), and the concentration and quality of DNA were assessed using a NanoDrop 2000 spectrophotometer. The gyrA and hag gene sequences of 20 B. velezensis strains were amplified by PCR with primers gyrA (F:5′-CAGTCAGGAAATGCGTACGTCCTT-3′, R:5′-GTATCCGTTGTGCGTCAGAGTAAC-3′) and hag (F:5′-AGAGTTTGATCCTGGCTCAG-3′, R:5′-GGTTACCTTGTTACGACTT-3′), and were subsequently Sanger sequenced. The sequences of gyrA and flagellin protein of 20 B. velezensis strains were in Dataset S1 at [https://zenodo.org/record/7131368#.YzeloNhBxPY] and Dataset S2 at [https://zenodo.org/record/7131381#.YzemJdhBxPY], respectively.
Phylogenetic analysis.
In this study, the phylogenetic analysis of genes was conducted using MEGA (v.5.05) for Neighbor-Joining (55). The 1000 bootstrap replications tested the clades' reliability. Furthermore, annotation and beautification of trees were achieved through the iTol online site (https://itol.embl.de) (56).
Electron microscopy.
We cultivated the strains on the LLB solid medium at 37°C for 8 h, placed the plate at an angle, and soaked the fresh colony in sterile deionized water for 2 h, during which we gently shook the plate every 20 min. Then, the strain suspension on the copper net was air dried, the flagella of strains were observed with a HT7700 transmission electron microscope (TEM) that operated at 80 kV, and photographed.
Protein structure prediction.
The hag and fliD completed sequences gene of strains SQR9, FZB42, NB20, and ACCC02961 were obtained from the NCBI genome database (SQR9 and FZB42) and sequenced draft genomes (NB20 and ACCC02961). The protein tertiary structure of flagellin monomer, flagellin homomer, and flagellar cap were predicted on the Swiss-Model website (https://swissmodel.expasy.org/).
Protein sequences analysis of flagellar proteins.
In total, 395 available genomes of B. velezensis were downloaded from the NCBI database using the ncbi-genome-download script (https://github.com/kblin/ncbi-genome-download/) (Table S2A, see [https://zenodo.org/record/7131360#.YzelJ9hBxPY]). The complete genomes were kept, and genomes of the whole genome shotgun were filtered out. Then, the location information of genes (hag, fliD, flgK, flgL, flgD, flgE, and flhO) sequences on genomes were obtained by alignment with corresponding genes sequences of SQR9 using NCBI-blast+ (v.2.9.0), and the genes sequences were extracted using Fasta Extract tool in TBtools (v1.0986853) (57). Finally, the 190 genomes of B. velezensis that have whole genes were retained and translated into protein sequences using the online tools of the EMBL website (https://www.ebi.ac.uk/Tools/st/emboss_transeq/) for the next analysis (Table S2B, at [https://zenodo.org/record/7131360#.YzelJ9hBxPY]).
These protein sequences of genes were aligned using the L-INS-I method of MAFFT (v7.487) (https://mafft.cbrc.jp/alignment/software/), and the protein sequences variation of genes were displayed using WebLogo (v.3.7.4) (http://weblogo.threeplusone.com/) (58) and Jalview (v.2.11.1.5) (https://www.jalview.org/) (59).
Statistics.
Duncan's multiple range tests (P < 0.05) of the SPSS version 25.0 (IBM, Chicago, IL, version 25.0) was used for statistical analysis of differences among treatments.
Data availability.
The accession numbers of the genome sequence of B. velezensis SQR9, FZB42, NB20 and ACCC02961 in the NCBI are: CP006890, NC_009725.2, JALJAJ000000000, and JALJAK000000000.
Supplementary Material
ACKNOWLEDGMENTS
This work was financially supported by the National Nature Science Foundation of China (31972512, 42090060, and 32072665), the Fundamental Research Funds for the Central Universities (KYXK202009 and KYZZ2022001), and the Central Public-interest Scientific Institution Basal Research Fund (No. Y2022QC15). P.Š. and I.M.-M. were supported by the Program Grant P4-0116 funded by the Slovenian national research agency (ARRS).
Y.L. and Z.X. designed the study, and Y.L. and R.H. performed the experiments. Y.L., Y.M., Y.C., and P.Š. analyzed the data and created the figures. Y.L., I.M.-M., and Z.X. wrote the first draft of the paper, and P.Š., Z.X., R.Z., Q.S., and I.M.-M. revised the paper.
We declare that we have no conflicts of interest.
Contributor Information
Zhihui Xu, Email: xzh2068@njau.edu.cn.
Matthew F. Traxler, University of California, Berkeley
REFERENCES
- 1.Arnaouteli S, Bamford NC, Stanley-Wall NR, Kovács ÁT. 2021. Bacillus subtilis biofilm formation and social interactions. Nat Rev Microbiol 19:600–614. doi: 10.1038/s41579-021-00540-9. [DOI] [PubMed] [Google Scholar]
- 2.Smith P, Schuster M. 2019. Public goods and cheating in microbes. Curr Biol 29:R442–R447. doi: 10.1016/j.cub.2019.03.001. [DOI] [PubMed] [Google Scholar]
- 3.Daniel BK. 2010. A field guide to bacterial swarming motility. Nat Rev Microbiol 8:634–644. doi: 10.1038/nrmicro2405. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Be'er A, Smith RS, Zhang HP, Florin E-L, Payne SM, Swinney HL. 2009. Paenibacillus dendritiformis bacterial colony growth depends on surfactant but not on bacterial motion. J Bacteriol 191:5758–5764. doi: 10.1128/JB.00660-09. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Wu X, Lee W, Tran L, Wong S. 1991. Engineering a Bacillus subtilis expression-secretion system with a strain deficient in six extracellular proteases. J Bacteriol 173:4952–4958. doi: 10.1128/jb.173.16.4952-4958.1991. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Dragoš A, Kiesewalter H, Martin M, Hsu CY, Hartmann R, Wechsler T, Eriksen C, Brix S, Drescher K, Stanley-Wall N, Kümmerli R, Kovács ÁT. 2018. Division of labor during biofilm matrix production. Curr Biol 28:1903–1913. doi: 10.1016/j.cub.2018.04.046. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Lyons NA, Kolter R. 2015. On the evolution of bacterial multicellularity. Curr Opin Microbiol 24:21–28. doi: 10.1016/j.mib.2014.12.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Özkaya Ö, Balbontín R, Gordo I, Xavier KB. 2018. Cheating on cheaters stabilizes cooperation in Pseudomonas aeruginosa. Curr Biol 28:2070–2080. doi: 10.1016/j.cub.2018.04.093. [DOI] [PubMed] [Google Scholar]
- 9.Pollak S, Omer-Bendori S, Even-Tov E, Lipsman V, Bareia T, Ben-Zion I, Eldar A. 2016. Facultative cheating supports the coexistence of diverse quorum-sensing alleles. Proc Natl Acad Sci USA 113:2152–2157. doi: 10.1073/pnas.1520615113. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Lyons NA, Kraigher B, Stefanic P, Mandic-Mulec I, Kolter R. 2016. A combinatorial kin discrimination system in Bacillus subtilis. Curr Biol 26:733–742. doi: 10.1016/j.cub.2016.01.032. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Wall D. 2016. Kin recognition in bacteria. Annu Rev Microbiol 70:143–160. doi: 10.1146/annurev-micro-102215-095325. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Hamilton WD. 1964. The genetical evolution of social behavior. I. J Theor Biol 7:1–16. doi: 10.1016/0022-5193(64)90038-4. [DOI] [PubMed] [Google Scholar]
- 13.Stefanic P, Kraigher B, Lyons NA, Kolter R, Mandic-Mulec I. 2015. Kin discrimination between sympatric Bacillus subtilis isolates. Proc Natl Acad Sci USA 112:14042–14047. doi: 10.1073/pnas.1512671112. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Kraigher B, Butolen M, Stefanic P, Mandic Mulec I. 2022. Kin discrimination drives territorial exclusion during Bacillus subtilis swarming and restrains exploitation of surfactin. ISME J 16:833–841. doi: 10.1038/s41396-021-01124-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Tipping MJ, Gibbs KA. 2019. Peer pressure from a Proteus mirabilis self-recognition system controls participation in cooperative swarm motility. PLoS Pathog 15:e1007885. doi: 10.1371/journal.ppat.1007885. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Aoki SK, Webb JS, Braaten BA, Low DA. 2009. Contact-dependent growth inhibition causes reversible metabolic downregulation in Escherichia coli. J Bacteriol 191:1777–1786. doi: 10.1128/JB.01437-08. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Cossey SM, Yu YTN, Cossu L, Velicer GJ. 2019. Kin discrimination and outer membrane exchange in Myxococcus xanthus: experimental analysis of a natural population. PLoS One 14:e0224817. doi: 10.1371/journal.pone.0224817. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Gong Y, Zhang Z, Zhou XW, Anwar MN, Hu XZ, Li ZS, Chen XJ, Li YZ. 2018. Competitive interactions between incompatible mutants of the social bacterium e DK1622. Front Microbiol 9:1–12. doi: 10.3389/fmicb.2018.01200. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Rumbaugh KP, Trivedi U, Watters C, Burton-chellew MN, Stephen P, West SA. 2012. Kin selection, quorum sensing and virulence in pathogenic bacteria. Proc Biol Sci 279:3584–3588. doi: 10.1098/rspb.2012.0843. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Claverys JP, Håvarstein LS. 2007. Cannibalism and fratricide: mechanisms and raisons d’être. Nat Rev Microbiol 5:219–229. doi: 10.1038/nrmicro1613. [DOI] [PubMed] [Google Scholar]
- 21.Kalamara M, Spacapan M, Mandic-Mulec I, Stanley-Wall NR. 2018. Social behaviours by Bacillus subtilis: quorum sensing, kin discrimination and beyond. Mol Microbiol 110:863–878. doi: 10.1111/mmi.14127. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Ansaldi M, Marolt D, Stebe T, Mandic-Mulec I, Dubnau D. 2002. Specific activation of the Bacillus quorum-sensing systems by isoprenylated pheromone variants. Mol Microbiol 44:1561–1573. doi: 10.1046/j.1365-2958.2002.02977.x. [DOI] [PubMed] [Google Scholar]
- 23.Mukherjee S, Kearns DB. 2014. The structure and regulation of flagella in Bacillus subtilis. Annu Rev Genet 48:319–340. doi: 10.1146/annurev-genet-120213-092406. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Macnab RM. 2003. How bacteria assemble flagella. Annu Rev Microbiol 57:77–100. doi: 10.1146/annurev.micro.57.030502.090832. [DOI] [PubMed] [Google Scholar]
- 25.Kearns DB, Losick R. 2003. Swarming motility in undomesticated Bacillus subtilis. Mol Microbiol 49:581–590. doi: 10.1046/j.1365-2958.2003.03584.x. [DOI] [PubMed] [Google Scholar]
- 26.Yonekura K, Maki-Yonekura S, Namba K. 2003. Complete atomic model of the bacterial flagellar filament by electron cryomicroscopy. Nature 424:643–650. doi: 10.1038/nature01830. [DOI] [PubMed] [Google Scholar]
- 27.Biedma ME, Cayet D, Tabareau J, Rossi AH, Ivičak-Kocjan K, Moreno G, Errea A, Soulard D, Parisi G, Jerala R, Berguer P, Rumbo M, Sirard JC. 2019. Recombinant flagellins with deletions in domains D1, D2, and D3: characterization as novel immunoadjuvants. Vaccine 37:652–663. doi: 10.1016/j.vaccine.2018.12.009. [DOI] [PubMed] [Google Scholar]
- 28.Hayashi F, Smith KD, Ozinsky A, Hawn TR, Yi EC, Goodlett DR, Eng JK, Akira S, Underhill DM, Aderem A. 2001. The innate immune response to bacterial flagellin is mediated by Toll-like receptor 5. Nature 410:1099–1103. doi: 10.1038/35074106. [DOI] [PubMed] [Google Scholar]
- 29.Wang F, Burrage AM, Postel S, Clark RE, Orlova A, Sundberg EJ, Kearns DB, Egelman EH. 2017. A structural model of flagellar filament switching across multiple bacterial species. Nat Commun 8:960. doi: 10.1038/s41467-017-01075-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Song WS, Yoon SI. 2016. Functional role of flagellin in bacterial flagellar assembly and immune receptor activation: structure and application. Biodesign 4:98–107. [Google Scholar]
- 31.Chinchilla D, Bauer Z, Regenass M, Boller T, Felix G. 2006. The Arabidopsis receptor kinase FLS2 binds flg22 and determines the specificity of flagellin perception. Plant Cell 18:465–476. doi: 10.1105/tpc.105.036574. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Shimoyama T, Kato S, Ishii S, Watanabe K. 2009. Flagellum mediates symbiosis. Science 323:1574. doi: 10.1126/science.1170086. [DOI] [PubMed] [Google Scholar]
- 33.Lyons NA, Kolter R. 2017. Bacillus subtilis protects public goods by extending kin discrimination to closely related species. mBio 8:1–16. doi: 10.1128/mBio.00723-17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Xu Z, Zhang R, Wang D, Qiu M, Feng H, Zhang N, Shen Q. 2014. Enhanced control of cucumber wilt disease by bacillus amyloliquefaciens SQR9 by altering the regulation of its DegU phosphorylation. Appl Environ Microbiol 80:2941–2950. doi: 10.1128/AEM.03943-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Li B, Li Q, Xu Z, Zhang N, Shen Q, Zhang R. 2014. Responses of beneficial Bacillus amyloliquefaciens SQR9 to different soilborne fungal pathogens through the alteration of antifungal compounds production. Front Microbiol 5:636. doi: 10.3389/fmicb.2014.00636. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Wang D, Xu Z, Zhang G, Xia L, Dong X, Li Q, Liles MR, Shao J, Shen Q, Zhang R. 2019. A genomic island in a plant beneficial rhizobacterium encodes novel antimicrobial fatty acids and a self-protection shield to enhance its competition. Environ Microbiol 21:3455–3471. doi: 10.1111/1462-2920.14683. [DOI] [PubMed] [Google Scholar]
- 37.Emerson SU, Tokuyasu K, Simon MI. 1970. Bacterial flagella: polarity of elongation. Science 169:190–192. doi: 10.1126/science.169.3941.190. [DOI] [PubMed] [Google Scholar]
- 38.Ikeda T, Yamaguchi S, Hotani H. 1993. Flagellar growth in a filament-less Salmonella fliD mutant supplemented with purified hook-associated protein 2. J Biochem 114:39–44. doi: 10.1093/oxfordjournals.jbchem.a124136. [DOI] [PubMed] [Google Scholar]
- 39.LaVallie ER, Stahl ML. 1989. Cloning of the flagellin gene from Bacillus subtilis and complementation studies of an in vitro-derived deletion mutation. J Bacteriol 171:3085–3094. doi: 10.1128/jb.171.6.3085-3094.1989. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.van Gestel J, Vlamakis H, Kolter R. 2015. From cell differentiation to cell collectives: Bacillus subtilis uses division of labor to migrate. PLoS Biol 13:e1002141. doi: 10.1371/journal.pbio.1002141. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Rabbee M, Ali M, Choi J, Hwang B, Jeong S, Baek K-h. 2019. Bacillus velezensis: a valuable member of bioactive molecules within plant microbiomes. Molecules 24:1046. doi: 10.3390/molecules24061046. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Pathak DT, Wei X, Bucuvalas A, Haft DH, Gerloff DL, Wall D. 2012. Cell contact-dependent outer membrane exchange in myxobacteria: genetic determinants and mechanism. PloS Genet 8:e1002626. doi: 10.1371/journal.pgen.1002626. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Pathak DT, Wei X, Dey A, Wall D. 2013. Molecular recognition by a polymorphic cell surface receptor governs cooperative behaviors in bacteria. PloS Genet 9:e1003891. doi: 10.1371/journal.pgen.1003891. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Aoki SK, Diner EJ, De Roodenbeke CTK, Burgess BR, Poole SJ, Braaten BA, Jones AM, Webb JS, Hayes CS, Cotter PA, Low DA. 2010. A widespread family of polymorphic contact-dependent toxin delivery systems in bacteria. Nature 468:439–442. doi: 10.1038/nature09490. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Willett JLE, Ruhe ZC, Goulding CW, Low DA, Hayes CS. 2015. Contact-dependent growth inhibition (CDI) and CdiB/CdiA two-partner secretion proteins. J Mol Biol 427:3754–3765. doi: 10.1016/j.jmb.2015.09.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.López-Yglesias AH, Lu C-C, Zhao X, Chou T, VandenBos T, Strong RK, Smith KD. 2019. FliC’s hypervariable D3 domain is required for robust anti-flagellin primary antibody responses. Immunohorizons 3:422–432. doi: 10.4049/immunohorizons.1800061. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Nedeljković M, Sastre DE, Sundberg EJ. 2021. Bacterial flagellar filament: a supramolecular multifunctional nanostructure. Int J Mol Sci 22:7521. doi: 10.3390/ijms22147521. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Xu D, Côté JC. 2008. Sequence diversity of Bacillus thuringiensis flagellin (H antigen) protein at the intra-H serotype level. Appl Environ Microbiol 74:5524–5532. doi: 10.1128/AEM.00951-08. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Hu D, Reeves PR. 2020. The remarkable dual-level diversity of prokaryotic flagellins. mSystems 5:e00705-19. doi: 10.1128/mSystems.00705-19. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Shao J, Li S, Zhang N, Cui X, Zhou X, Zhang G, Shen Q, Zhang R. 2015. Analysis and cloning of the synthetic pathway of the phytohormone indole-3-acetic acid in the plant-beneficial Bacillus amyloliquefaciens SQR9. Microb Cell Fact 14:1–13. doi: 10.1186/s12934-015-0323-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Chen XT, Bin Ji J, Liu YC, Ye B, Zhou CY, Yan X. 2016. Artificial induction of genetic competence in Bacillus amyloliquefaciens isolates. Biotechnol Lett 38:2109–2117. doi: 10.1007/s10529-016-2194-0. [DOI] [PubMed] [Google Scholar]
- 52.Zhou X, Zhang N, Xia L, Li Q, Shao J, Shen Q, Zhang R. 2018. ResDE two-component regulatory system mediates oxygen limitation-induced biofilm formation by Bacillus amyloliquefaciens SQR9. Appl Environ Microbiol 84:e02744-17. doi: 10.1128/AEM.02744-17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Schneider CA, Rasband WS, Eliceiri KW. 2012. NIH Image to ImageJ: 25 years of image analysis. Nat Methods 9:671–675. doi: 10.1038/nmeth.2089. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Landy M, Warren GH, Rosenman SB, Colio LG. 1947. An antibiotic from Bacillus subtilis active against pathogenic fungi. J Bacteriol 54:539–541. doi: 10.3181/00379727-67-16367. [DOI] [PubMed] [Google Scholar]
- 55.Tamura K, Peterson D, Peterson N, Stecher G, Nei M, Kumar S. 2011. MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods. Mol Biol Evol 28:2731–2739. doi: 10.1093/molbev/msr121. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Letunic I, Bork P. 2019. Interactive Tree of Life (iTOL) v4: recent updates and new developments. Nucleic Acids Res 47:W256–W259. doi: 10.1093/nar/gkz239. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Chen C, Chen H, Zhang Y, Thomas HR, Frank MH, He Y, Xia R. 2020. Tbtools: an integrative toolkit developed for interactive analyses of big biological data. Mol Plant 13:1194–1202. doi: 10.1016/j.molp.2020.06.009. [DOI] [PubMed] [Google Scholar]
- 58.Crooks G, Hon G, Chandonia J, Brenner S. 2004. WebLogo: a sequence logo generator. Genome Res 14:1188–1190. doi: 10.1101/gr.849004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Waterhouse AM, Procter JB, Martin DMA, Clamp M, Barton GJ. 2009. Jalview version 2-a multiple sequence alignment editor and analysis workbench. Bioinformatics 25:1189–1191. doi: 10.1093/bioinformatics/btp033. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Huang R, Feng H, Xu Z, Zhang N, Liu Y, Shao J, Shen Q, Zhang R. 2022. Identification of adhesins in plant beneficial rhizobacteria Bacillus velezensis SQR9 and their effect on root colonization. Mol Plant Microbe Interact 35:64–72. doi: 10.1094/MPMI-09-21-0234-R. [DOI] [PubMed] [Google Scholar]
- 61.Shao J, Liu Y, Xie J, Polonca S, Lv Y, Fan B, Mandic-Mulec I, Zhang R, Shen Q, Xu Z. 2022. Annulment of bacterial antagonism improves plant beneficial activity of a Bacillus velezensis consortium. Appl Environ Microbiol 88:e0024022. doi: 10.1128/aem.00240-22. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Li Q, Li Z, Li X, Xia L, Zhou X, Xu Z, Shao J, Shen Q, Zhang R. 2018. FtsEX-CwlO regulates biofilm formation by a plant-beneficial rhizobacterium Bacillus velezensis SQR9. Res Microbiol 169:166–176. doi: 10.1016/j.resmic.2018.01.004. [DOI] [PubMed] [Google Scholar]
- 63.Xia L, Miao Y, Cao A, Liu Y, Liu Z, Sun X, Xue Y, Xu Z, Xun W, Shen Q, Zhang N, Zhang R. 2022. Biosynthetic gene cluster profiling predicts the positive association between antagonism and phylogeny in Bacillus. Nat Commun 13:1–11. doi: 10.1038/s41467-022-28668-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
The swarm boundary width of SQR9 and non-kin strains was positively correlated with their phylogenetic distance. (A) The tree was constructed on gyrA gene sequences (2264bp) using MEGA (v.5.05) for Neighbor-Joining, the B. subtilis 168 (NC_000964.3) was selected as the outgroup. And the reliability of clades was tested by the 1000 bootstrap replications. (B) The swarm boundary width of SQR9 and 10 non-kin strains from the phylogenetic distance. Each pair of strains included 9 replicates of the swarm boundary assay phenotype, and each replicate was measured three times using the Image J (v.1.53c). The point plots were drawn using the ggplot2 package and linear regression analysis is performed using the lm() function in R (v.4.0.3). Download FIG S1, JPG file, 0.4 MB (451.8KB, jpg) .
Copyright © 2022 Liu et al.
This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.
The flagellin mutant Δhag complemented with the hag gene of kin and non-kin strains restored flagellar filaments growth. The transmission electron microscopy photos of strain were displayed, including SQR9wt (A), Δhag (flagellin mutants of SQR9) (B), Δhag-hagSQR9 (Δhag carrying hag gene of kin strain SQR9) (C), Δhag-hagFZB42 (Δhag carrying hag gene of non-kin strain FZB42) (D), Δhag-hagNB20 (Δhag carrying hag gene of non-kin strain NB20) (E), Δhag-hagACCC02961 (Δhag carrying hag gene of non-kin strain ACCC02961) (F), FZB42wt (G), NB20wt (H) and ACCC02961wt (I). The HT7700 transmission electron microscope (TEM) was operated at 80 kV to observe and photograph. Download FIG S2, JPG file, 0.9 MB (986.6KB, jpg) .
Copyright © 2022 Liu et al.
This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.
Swarm ability of strains SQR9wt (A), FZB42wt (B), NB20wt (C) and ACCC02961wt (D) on swarm plate (0.7% agar). The merging phenotype of strains SQR9wt (E), FZB42wt (F), NB20wt (G) and ACCC02961wt (H) with itself on swarm plate (0.7% agar). The merging phenotype of Δhag mutant (I) and SQR9 carrying heterologous flagellin (Δhag-hagSQR9 [J], Δhag-hagFZB42 [K], Δhag-hagNB20 [L], Δhag-hagACCC02961 [M]) with itself on swarm plate (0.7% agar). The pictures of the plates were acquired 48h after inoculation, and the results are representative of 3 experiments. Download FIG S3, JPG file, 1.1 MB (1.1MB, jpg) .
Copyright © 2022 Liu et al.
This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.
The flagellin mutant Δhag complemented with the hag gene of kin and non-kin strains restored motility ability. The motility ability of strains was tested using a B medium with 0.3%, 0.5%, and 0.7% agar. The halo area of strains was measured in Image J (v.1.53c) after 24 h of inoculation. The results are representative of three experiments. The bars with different letters are statistically different according to the two-sided Duncan’s multiple range tests (P < 0.05). Download FIG S4, JPG file, 0.4 MB (438.6KB, jpg) .
Copyright © 2022 Liu et al.
This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.
Only the secondary metabolite bacillunoic acid was involved in kin discrimination of B. velezensis SQR9. The swarm boundary assays: (A) SQR9 and Δbmy (synthetic gene mutants of bacillomycin D); (B) SQR9 and Δfen (synthetic gene mutants of fengycin); (C) SQR9 and Δdhb (synthetic gene mutants of bacillibactin); (D) SQR9 and Δbae (synthetic gene mutants of bacillaene); (E) SQR9 and Δdfn (synthetic gene mutants of difficidin); (F) SQR9 and Δmln (synthetic gene mutants of macrolactin); (G) SQR9 and ΔGI (synthetic gene mutants of bacillunoic acid); (H) SQR9, ACCC02961 and Δbmy; (I) SQR9, ACCC02961 and Δfen; (J) SQR9, ACCC02961 and Δdhb; (K) SQR9, ACCC02961 and Δbae; (L) SQR9, ACCC02961 and Δdfn; (M) SQR9, ACCC02961 and Δmln; (N) SQR9, ACCC02961 and ΔGI. Download FIG S5, JPG file, 1.2 MB (1.2MB, jpg) .
Copyright © 2022 Liu et al.
This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.
The deletion of the hag gene of SQR9 had no significant effect on the production of antibacterial substances surfactin. Chromatographic peaks of surfactin standard (A) and SQR9wt (B) and Δhag mutant (C) fermentation supernatant. The peaks pointed to by the black arrows are the peaks of the 3 homologs of surfactin of interest in this study. (D) The production of surfactin in SQR9 wild-type and Δhag mutants was assessed using high-performance liquid chromatography (HPLC). The peak areas shown are the sum of the chromatographic peak areas of the 3 surfactin homologs. Each strain sample was tested three times, and the analysis of significant differences was performed using the independent sample T-Test (P < 0.05) on SPSS (v. 25). Download FIG S6, JPG file, 0.7 MB (750KB, jpg) .
Copyright © 2022 Liu et al.
This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.
The conserved and variable regions of the flagellin sequences from 20 B. velezensis strains. There was a lot of variation in the central region of sequences, and in addition to mutations at individual sites, there were many large insertions and deletions. their lengths were in the range 266-324 aa and were aligned using the L-INS-I method of MAFFT (v7.487) and displayed using Jalview (v.2.11.1.5). Download FIG S7, JPG file, 2.8 MB (2.9MB, jpg) .
Copyright © 2022 Liu et al.
This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.
Sequence logos of other flagellar proteins. These flagellar proteins included filament cap protein (encoded by fliD gene) (A), junction protein (encoded by flgK [B] and flgL [C] genes), hook cap protein (encoded by flgD gene) (D), hook structure protein (encoded by flgE gene) (E); and flagellar rod structure protein (encoded by flhO gene) (F). These protein sequences were quite conservative, with only a few sites of variation. These sequences came from 190 B. velezensis strains in the NCBI database, were aligned using the L-INS-I method of MAFFT (v7.487), and displayed using WebLogo (v.3.7.4). Download FIG S8, JPG file, 2.3 MB (2.4MB, jpg) .
Copyright © 2022 Liu et al.
This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.
Data Availability Statement
The accession numbers of the genome sequence of B. velezensis SQR9, FZB42, NB20 and ACCC02961 in the NCBI are: CP006890, NC_009725.2, JALJAJ000000000, and JALJAK000000000.






