Summary
Bacillus velezensis isolates are among the most promising plant-associated beneficial bacteria used as biocontrol agents. However, various aspects of the chemical communication between the plant and these beneficials, determining root colonization ability, remain poorly described. Here we investigated the molecular basis of such interkingdom interaction occurring upon contact between Bacillus velezensis and its host via the sensing of pectin backbone homogalacturonan (HG). We showed that B. velezensis stimulates key developmental traits via a dynamic process involving two conserved pectinolytic enzymes. This response integrates transcriptional changes leading to the switch from planktonic to sessile cells, a strong increase in biofilm formation, and an accelerated sporulation dynamics while conserving the potential to efficiently produce specialized secondary metabolites. As a whole, we anticipate that this response of Bacillus to cell wall–derived host cues contributes to its establishment and persistence in the competitive rhizosphere niche and ipso facto to its activity as biocontrol agent.
Subject areas: Plant biology, Process in plant, Plant development
Graphical abstract

Highlights
-
•
B. velezensis (B.v) secretes two unique enzymes degrading homogalacturonan (HG)
-
•
These pectinases contribute to bacterial fitness and root colonization
-
•
HG stimulates biofilm, sporulation, and secondary metabolite production in B.v
-
•
These traits contribute to establishment and persistence of B.v in the rhizosphere
Plant biology; Process in plant; Plant development
Introduction
The rhizosphere is viewed as the narrow interface between plant roots and bulk soil directly influenced by root exudates.1 These root-secreted compounds represent the major nutrient source for carbon-starved soil-dwelling microbes and contribute to create a densely populated but spatially limited niche characterized by intense interspecies interactions being neutral, cooperative, or antagonistic.2,3,4 Root exudates thus shape the assembly of microbial communities associated with roots according to the potential of individuals to adapt to the host and to face such highly competitive context. This results in dynamic and complex rhizosphere microbiomes that comprise commensal and pathogenic but also beneficial microorganisms including bacterial species that have evolved as true mutualists establishing intricate interactions with the plant. These bacteria use root-exuded chemicals to fuel their catabolism and sustain growth while, in turn, they provide beneficial services to their host by promoting growth and/or by augmenting resistance to biotic and abiotic stresses.5,6,7 These beneficial rhizobacteria are usually characterized by efficient root colonization ability and stress tolerance.8,9 Moreover, they possess a higher number of genes involved in chemotaxis, motility, and biofilm formation compared with bacteria found in the bulk soil.10,11
Species of the Bacillaceae belonging to the Bacillus subtilis complex are common inhabitants of the rhizosphere and are among the most studied plant-beneficial bacteria (PBB), especially for their positive effects on plant health and growth.12,13 It includes Bacillus velezensis, one of the most promising rhizobacterial species to be used as biological control agent.14,15,16,17 This biocontrol activity mainly relies on (1) the ability to compete for space and nutrients with the other inhabitants of the rhizosphere, (2) to develop strong direct antagonism toward pathogenic (micro)organisms, and (3) to stimulate host immunity leading to induced systemic resistance (ISR).12,18 The expression of these traits correlates with the potential of B. velezensis to produce a wide range of chemically diverse and functionally specialized secondary metabolites (SMs) acting as signals, siderophores, antimicrobials, or immunity elicitors.19,20 From an ecological perspective, this arsenal is also considered as an adaptative trait to improve establishment and persistence in the competitive rhizosphere niche.
A few recent reports have described how soil bacilli and other plant beneficial species may modulate the expression of developmental traits and adapt the production of SMs upon facing microbial competitors in interspecies interactions.21,22,23,24,25 However, the molecular dialogue occurring with the host plant at the root level also represents a key component of the multitrophic rhizospheric interactions that may influence the behavior of these beneficials. Certain root-exuded compounds, essentially amino acids, organic acids and to a lesser extent sugars are perceived as host-derived signals by rhizobacteria which in response, move toward the host roots via chemotaxis.26,27,28,29 This promotes bacterial cell attachment to the root surface to initiate root colonization by forming biofilms, which are highly organized bacterial community assembly comprising vegetative cells and spores enclosed in a self-produced matrix.25,30 Root exudates have also been shown to modulate SMs production, among which surfactin,31,32 and the expression of genes involved in bacillibactin, bacilysin, bacillaene, difficidin, macrolactin, surfactin, and fengycin synthesis33,34 in diverse B. velezensis strains.
Another facet of the plant-rhizobacteria interaction, occurring upon direct contact with the host plant, involves the perception of plant cell wall polymers (CWPs). We and others previously showed that the production of the multifunctional lipopeptide surfactin is specifically stimulated upon sensing pectin,35,36 and more precisely pectin backbone,32 playing a key role in the first steps of root colonization. Moreover, pectin but also arabinogalactan and xylan were shown to promote biofilm formation in several bacilli species36,37,38 through the induction of the expression of biofilm matrix-related genes.36,37 In B. subtilis, the galactose contained in these polymers is used as a substrate to synthesize matrix exopolysaccharides.37,39 However, the phenotypic and metabolite responses of beneficial bacilli to CWPs perception still remain largely uncharacterized.
In this study, we investigated the mechanistic underlying the impact of pectin, as first CWP potentially sensed by B. velezensis upon contact with root tissues,40 on the expression of key developmental traits sustaining efficient colonization and on SMs production. We showed that the pectin backbone homogalacturonan (HG) acts as host-associated cue that triggers early biofilm formation, fast sporulation and enhanced production of some specialized SMs. Our data indicated that such HG sensing contributes to the establishment and persistence of B. velezensis cell populations in the rhizosphere via a dynamic process involving bacterial pectinolytic enzymes readily active in planta.
Results
Conserved polygalacturonate lyases contribute to root colonization by B. velezensis
In this work, the genetically amenable plant-associated strain GA1 (GenBank: CP046386.1) was used as representative of the B. velezensis species.41 We previously showed that GA1 possesses two genes encoding polygalacturonate lyases (pelA, GL331_08735; pelB, GL331_04125) that are conserved with a high nucleotide identity in most strains of the B. velezensis species which belong to the functional group amyloliquefaciens within the B. subtilis complex.32 These lyases act as pectin degrading enzymes by generating oligogalacturonides from pectin backbone (homogalacturonan), constituting up to 65% of total pectin encountered in the plant primary cell wall.40,42 Comparative genomic analysis of the enzymatic content of pectin remodeling and degrading enzymes in other soil-dwelling bacilli reveals that PelA and PelB are the only enzymes potentially involved in pectin degradation/remodeling that are produced by B. velezensis (Tables 1 and S1). On the one hand, it highlights a highly reduced pectinase arsenal in GA1 compared to other saprophytic soil species such as B. subtilis, B. paralicheniformis or B. licheniformis (Tables 1 and S1). On the other hand, none of these enzymes are synthesized by ubiquitous species such as B. mycoides, B. simplex, B. thuringiensis or B. weihenstephanensis (Table 1). We assume that such a limited potential to synthesize pectin-degrading enzymes in B. velezensis might be linked to its typical plant-associated lifestyle.14 In terms of phylogenetic relationship between pectinases of the PL1 and PL3 families found in these soil-dwelling bacilli, the maximum likelihood tree shows low similarity between PelA and PelB of GA1 with pectinases of the other Bacillus species (Figure 1A and Table S2). Moreover, PelA and PelB of B. velezensis are separated in two different clusters, suggesting notable differences in their structure and function.
Table 1.
Content of enzymes involved in pectin degradation (polygalacturonases (PG); rhamnogalacturonan hydrolases, (RGH); polygalacturonate lyases, (PL)) and pectin remodeling (pectin methylesterases (PME) and pectin acetylesterases, (PAE)) in archetype strains of soil-dwelling bacilli
| Pectin degradation |
Pectin remodeling |
|||||
|---|---|---|---|---|---|---|
| PG | RGH | PL | PME | PAE | TOTAL | |
| B. altitudinis CHB19 | 1 | 1 | 2a | 1 | 1 | 6 |
| B. atrophaeus GQJK17 | 0 | 2 | 6a | 0 | 3 | 11 |
| B. clausii DSM8716 | 0 | 2 | 4a | 0 | 0 | 6 |
| B. licheniformis ATCC-14180 | 1 | 2 | 8a | 1 | 4 | 16 |
| B. mycoides KBAB4 | 0 | 0 | 0 | 0 | 0 | 0 |
| B. paralicheniformis CBMAI1303 | 1 | 2 | 8a | 1 | 4 | 16 |
| B. pumilus SAFR032 | 1 | 1 | 2a | 1 | 1 | 6 |
| B. simplex SH-B26 | 0 | 0 | 0 | 0 | 0 | 0 |
| B. subtilis 168 | 0 | 2 | 7a | 0 | 3 | 12 |
| B. thuringiensis CT-43 | 0 | 0 | 0 | 0 | 0 | 0 |
| B. velezensis GA1/FZB42 | 0 | 0 | 3a | 0 | 0 | 3 |
| B. weihenstephanensis WSBC 10204 | 0 | 0 | 0 | 0 | 0 | 0 |
Figure 1.
General characterization of B. velezensis pectin degrading enzymes PelA and PelB
(A) Phylogenetic relationship of HG degrading enzymes between PelA and PelB of B. velezensis GA1 and archetype strains of other soil-dwelling bacilli.
(B and C) Time-course measurement of pectin degradation activity of cell-free culture supernatants of (B) B. velezensis GA1 ΔpelA and (C) ΔpelB mutants on HG (light gray bars) and HGHM (dark gray bars) (Mean ± SD, n = 3).
(D) Kinetics of oligogalacturonides released over time from HG by 24h-cell-free culture supernatants of GA1 (black line) and the mutant ΔpelAΔpelB (light gray line). See also Tables S2 and S3.
In the plant cell wall, pectin backbone is mainly low methylesterified, but it can also be found in its highly methylesterified form.40 Therefore, we wanted to assess whether PelA and PelB may display some substrate specificity regarding the level of methylation of the HG polymer, allowing to distinguish between pectin and pectate lyase activities.42 To that end, we generated and cultivated the two GA1 mutants ΔpelA and ΔpelB in a medium containing the specific sugars, organic acids and amino acids found in root exudates of Solanaceae31 (root exudates mimicking medium). Pel enzymes are readily produced in this medium and we measured the activity of the corresponding cell-free supernatants on commercially available HG polymer of low (≤5%, HG) and high (≥85%, HGHM) methylesterification degree. Our data reveal that PelB is moderately but exclusively active on HGHM (Figure 1B) while PelA is highly and preferentially active on HG (Figure 1C), suggesting that PelA is a pectate lyase and PelB is a pectin lyase. In silico analysis of structural features in the protein sequences of PelA and PelB strongly suggests that the low activity of PelB compared to PelA might be due to the absence of disordered domain(s) (Table S3), responsible of structural plasticity and proper exposition of the catalytic site for optimal functioning of the enzyme.43,44 Therefore, PelA and PelB thus display complementary lyase activities on HG. In addition, the double mutant ΔpelAΔpelB is fully impaired in its potential to breakdown HG, providing functional evidence in support to genomic data that these two Pels represent the only enzymes involved in HG degradation in GA1 (Figure 1D).
As mutualistic rhizobacteria, one of the key traits of B. velezensis isolates relies on their potential to efficiently colonize host roots. We previously showed that GA1 tends to form biofilm structures when colonizing tomato plantlets roots.41 As they represent unique functional pectin-degrading enzymes that have been conserved in the species, we postulated that PelA/B lyases may play some role in the rhizosphere fitness of the bacterium. Monitoring of bacterial population dynamics on tomato roots on solidified Hoagland medium reveals that the mutant ΔpelAΔpelB impaired in lyases production is also significantly affected in its colonization potential compared to the wild type strain (Figure 2A). In addition, ΔpelAΔpelB is strongly outcompeted by GA1 upon co-inoculation at the same initial cell concentration, further indicating some reduced root fitness related to the loss of PelA/B synthesis (Figure 2B). In support to the role of these enzymes in the Bacillus-plant interaction in vivo, we detected substantial amounts of oligogalacturonides released from native pectin extracted from tomato roots (PEC) after treatment with a PelA/B-enriched extract (Figure 2C). This indicates that these enzymes may effectively alter the pectin polymer naturally found in the plant cell wall.
Figure 2.
Conserved polygalacturonate lyases contribute to root colonization by B. velezensis
(A and B) Time-course measurement of (A) GA1 (white bars) and ΔpelAΔpelB (gray bars) populations on tomato plantlets roots and (B) upon co-inoculation (50:50) on tomato plantlets roots (Mean ± SD, n = 3 for (A) and n = 7 for (B), t-test; ns, non-significative; ∗, p < 0.05; ∗∗∗∗, p < 0.0001).
(C) Schematic representation of pectin degradation products generated by Pels enzymes from pectin extracted from tomato plant roots (PEC, Created with biorender.com). Column chart represents simple sugar composition (expressed as molar ratio percentages) of PEC fraction. Line graph represents the kinetics of oligogalacturonides released over time from PEC fraction by cell-free culture supernatants of GA1.
(D) Time-course measurement of pectin degrading activity of cell-free culture supernatants of GA1 (bars, left axis) regarding bacterial growth (line, right axis) (Mean ± SD, n = 3).
(E) Expression pattern of pelA (up) and pelB (down) in GA1 (white bars) and ΔcomA mutant (gray bars) at early growth stages (Mean ± SD, n = 3, t-test; ∗, p < 0.05; ∗∗, p < 0.01; ∗∗∗, p < 0.001; ∗∗∗∗, p < 0.0001).
(F) Simplified pathway of HG degradation and assimilation (pentose and glucuronate interconversion, adapted from KEGG pathway database47). Enzymes encoded and not encoded in GA1 genome are marked in green and red respectively.
(G) Growth profile of GA1 and ΔpelAΔpelB mutant on minimal medium supplemented with 0.2% (w/v) HG (black and gray line respectively) or GA (green and red lines respectively) (mean ± SD, n = 3). Growth rate in each condition is indicated next to the corresponding curve and was determined by calculating the slope of the linear part of ln(OD600).
Based on all these data, we assumed that PelA/B are readily produced by the bacterium quite early upon root colonization. In liquid cultures, pectin degrading activity is detected as soon as GA1 cells enter into the exponential growth phase (Figure 2D), suggesting that quorum sensing might regulate their expression. This population-dependent process plays a key role in various developmental traits driving the fate of cell communities including biofilm formation and in extenso root colonization.45,46 RT-qPCR measurements of the expression levels of pelA and pelB in a ΔcomA mutant unable to synthesize the major regulator of quorum sensing in bacilli show that pelA is not expressed anymore while the expression of pelB is markedly repressed compared to GA1 (Figure 2E). This indicates that these enzymes also differ in their regulation in addition to differences in their activities.
Therefore, GA1 may somehow degrade to a limited extent pectin backbone during root colonization via its Pel enzymes, without impairing cell wall integrity since we never observed any adverse effect on plant health and growth caused by this beneficial bacterium. We thus hypothesized that besides root exudates, the bacterium may use oligomers of galacturonic acid (GA) generated from HG degradation as an additional carbon source to sustain growth and thereby, favor root colonization. However, according to KEGG database,47 the pentose and glucuronate interconversion pathway necessary for the assimilation of oligomers of GA is incomplete in B. velezensis (Figure 2F). Intriguingly, GA1 possesses the complete pathway to metabolize and use GA monomers as carbon source but is unable to generate GA monomers from HG since it does not synthesize polygalacturonases (EC.3.2.1.15) and the other required isomerases. We confirmed this experimentally since GA1 and the mutant ΔpelAΔpelB display a reduced but similar growth rate in minimal medium supplemented with HG while it is significantly higher in presence of GA (Figure 2G). Taking all these results together, the ability to degrade HG confers to GA1 an advantage for its establishment on roots at the early stages of colonization but without using HG degradation products as an additional carbon source.
Homogalacturonan sensing stimulates early biofilm formation in B. velezensis
The root colonization potential of B. velezensis and related species such as B. subtilis correlates positively with their ability to form robust biofilm in vitro and in vivo.48,49,50,51 Therefore, we next hypothesized that enhanced fitness of GA1 during root colonization may be due to an improved potential to form biofilm in response to HG or HG degradation products. Based on measurements of biofilm pellicles at the air-liquid interface, we observed an enhanced biofilm formation in presence of HG for both GA1 and the mutant ΔpelAΔpelB compared to un-supplemented control conditions (Figure 3A). Furthermore, ΔpelAΔpelB responds optimally to undegraded HG by increasing biofilm formation but only moderately to oligogalacturonides with high degree of polymerization (DP, OGA). However, it does not respond to low-DP oligomers (OGB) or GA monomer (Figures 3B and S1Afor DP distributions of OGA and OGB). This indicates that undegraded HG and HG degradation products of high DP are responsible for triggering biofilm formation in GA1. To further investigate the dynamics of this phenomenon, we observed the biofilm pellicle formation by microscopy at early stages. In presence of HG, bacterial cells start to agglomerate within a few hours and form long chains reducing their motility (Video S1A), while individual cells remain highly motile in control conditions 7h post inoculation (Video S1B). This earlier shift from motile to sessile behavior upon HG supplementation correlates with a global repression of genes related to flagellar protein synthesis as revealed by genome-wide RNA-seq analysis of the transcriptional reprogramming induced in GA1 within the first 8 h in presence of pectin backbone (Figure 3C).
Figure 3.
Homogalacturonan sensing stimulates early biofilm formation in B. velezensis
(A and B) Assessment of biofilm formation at the air-liquid interface by (A) GA1 and ΔpelAΔpelB in the control medium (white bars) and upon supplementation with 0.1% (m/v) HG (gray bars) in a 96-well microplate by crystal violet staining and (B) by GA1 upon supplementation with 0.1% (m/v) HG of different DP (HG, mean DP ≈ 17032; OGA, mean DP = 13; OGB, mean DP = 4; GA, DP = 1) (Mean ± SD, n = 8, Tukey’s multiple comparisons, α = 0.05).
(C) Heatmap representing differential expression of genes involved in motility in GA1 upon supplementation with 0.1% (m/v) HG normalized to the control medium after 2.5, 5 and 8h of culture. Green and red shadings represent respectively higher and lower relative expression level compared with the control medium.
(D) Expression pattern of epsB (left) and tasA (right) genes in GA1 in the control medium (white bars) and upon supplementation with 0.1% (m/v) HG (gray bars) at early biofilm formation stages (Mean ± SD, n = 3, t-test; ∗∗, p < 0.01; ∗∗∗, p < 0.001).
(E) Time-course measurement of eDNA content in biofilm pellicles of GA1 formed at the air-liquid interface in the control medium (black line) and upon supplementation with 0.1% (m/v) HG (gray line) (Mean ± SD, n = 8, t-test; ∗∗∗∗, p < 0.0001). Inset: Time-course measurement of the number of cells embedded into the biofilm pellicle in the control medium (white bars) and upon supplementation with 0.1% (m/v) HG (Mean ± SD, n = 3, t-test; ∗, p < 0.05; ∗∗, p < 0.01).
(F) Macroscopic observation of the kinetic of biofilm formation at the air-liquid interface by GA1 in the control medium and upon supplementation with 0.1% (m/v) HG (scale bar-1 mm). A magnification of the biofilm pellicle at 6h is shown (scale bar-0.05 µm).
(G) Assessment of biofilm formation (as described in panel A and B) by GA1 in the control medium and upon supplementation with 0.1% (m/v) pectin fraction extracted from tomato plant roots (PEC) and HG (Mean ± SD, n = 8, Tukey’s multiple comparisons, α = 0.05).
(H) Assessment of biofilm formation (as described in panel A and B) by GA1 upon supplementation of HG at different concentrations (Mean ± SD, n = 8, Tukey’s multiple comparisons, α = 0.05).
(I) Assessment of biofilm formation (as described in panel A and B) by GA1 in the control medium and upon supplementation with 0.1% (m/v) HG and HGHM (Mean ± SD, n = 8, Tukey’s multiple comparisons, α = 0.05). See also Figures S1 and S2.
In bacilli, biofilm initiation and maturation is related to the production of an extracellular matrix mainly composed of exopolysaccharides (EPS), cohesion proteins (TasA) and extracellular DNA (eDNA), which is essential to hold the bacterial community together within the biofilm structure.25 Measurements of the expression level of epsB and tasA by RT-qPCR on GA1 cells harvested from biofilm at the early stages of formation reveal an overexpression of both genes in the medium supplemented with HG compared to control conditions (Figure 3D). Our RNA-seq data also confirmed that all the genes constituting the operons responsible of EPS and cohesion protein synthesis are up-regulated in presence of HG (Figure S2A). Interestingly, among genes of the epsA-O operon, the protein encoded by epsE, in addition of being a key protein involved in EPS synthesis, has been shown to be involved in motility cessation by acting like a clutch on the flagellar motor switch protein FliG.52,53
On the other hand, it has been shown that the lipopeptide surfactin acts as signal triggering the expression of eps and tasA genes54,55 and in a previous study, we showed that the production of this compound by GA1 is stimulated in response to HG in the early exponential growth phase.32 Therefore, we wanted to evaluate whether this early surfactin production in presence of HG could have an impact on the enhanced biofilm formation observed here. Colorimetric quantification of biofilm formation by crystal violet staining shows that the mutant ΔsrfAA impaired in surfactin synthesis is strongly affected in its potential to produce biofilm compared with GA1, but still displays a high responsiveness to HG regarding both pellicle formation (Figure S2B) and biofilm gene expression (Figure S2C). This indicates that surfactin synthesis stimulation by HG does not markedly contribute to the strongly enhanced biofilm phenotype triggered by the polymer in GA1.
Besides EPS and cohesion proteins, eDNA is also required at early stage of biofilm formation and contributes to its 3D architecture.56 Relative eDNA quantification assay shows a significantly higher eDNA content in pellicles formed in presence of HG compared with the control medium after 24h (Figure 3E), which is concomitant with a higher number of cells embedded in the biofilm pellicle (Inset Figure 3E). However, no significant differences were observed in terms of total number of cells in the wells (i.e., planktonic cells and cells embedded in the biofilm) in both conditions (approximately 4.5 × 108 CFU/ml at 24h after inoculation), indicating that the accumulation of eDNA is not due to cell lysis but rather to an active secretion as reported for B. subtilis.57
Accordingly, both macroscopic observations and colorimetric quantification of biofilm show that GA1 pellicle starts to form earlier in presence of HG and gives rise to a thicker biofilm after 24h compared with control conditions (Figures 3F and 3G). A similar increase in biofilm formation was also measured upon addition of natural pectin extracted from tomato plantlets roots (PEC) at the same concentration (Figure 3G). In addition, we observed a significant stimulation of biofilm formation upon addition of HG at concentrations as low as 0.03 g/l (Figure 3H), suggesting the involvement of a quite sensitive perception system of the polymer in GA1. This would also discard the possibility that HG acts indirectly by creating some osmotic stress if added at sufficient concentration to the medium, which is supported by the fact that the chemical polymer PEG, added at the same concentration, does not trigger any response in GA1 (Figure S1B). That said, HG of high polymerization degree with low level of methylesterification can form egg-box structures stabilized by calcium bridges58 that might favor cell cohesion and contribute to biofilm architecture via a biologically unrelated process as it has been shown for cellulose in E. coli biofilms.59 Nevertheless, involvement of such a physico-chemical structuring effect can be ruled out since a similar increase in biofilm pellicle formation is observed upon addition of highly methylated HG, unable to form such supra-molecular conformation (Figure 3I). Collectively, these data strongly suggest that pectin perception underpins a signaling process through which bacterial cells actively detect HG fragments with a minimal length for triggering biofilm establishment.
Homogalacturonan sensing enhances the sporulation dynamics in B. velezensis
It is commonly assumed that during biofilm formation, Bacillus enters into a process of cell differentiation, leading to the coexistence of vegetative cells, endospores and spores into the same multicellular structure.60 Within the population colonizing tomato roots, we observed that a majority of cells tends to rapidly differentiate into spores, representing more than half of the total population after 3 days and around 90% after 6 days (Figure 4A). This prompted us to also investigate the possible impact of HG recognition on sporulation as key developmental trait. We set up a method to monitor the sporulation dynamics of GA1 cells by flow cytometry using Redox Sensor Green dye (RSG) as a marker of cellular activity and cell size as proxies (See STAR Methods and Figure S3A). A strong increase in spore population is observed upon supplementation of liquid cultures of GA1 with both PEC or HG compared with the control medium after 48h (Figure 4B). We next investigated the dynamics of spore formation in GA1 population between 24h and 48h, this time frame corresponding to the end of the exponential growth phase/beginning of the stationary phase in our culture conditions. We observed that sporulation is triggered earlier and faster in GA1 cells upon HG sensing, allowing the biomass to remain constant while it sharply decreases in control conditions (Figure 4C). As observed for biofilms, the response of the bacterium regarding sporulation in presence of HG is DP-dependent. Undegraded HG and OGA induce a strong increase in spore population in the ΔpelAΔpelB mutant while OGB and GA monomer display a limited or no effect respectively compared with the control conditions (Figure 4D).
Figure 4.
Homogalacturonan sensing enhances the sporulation dynamics in B. velezensis
(A) Time-course measurement of GA1 population (vegetative cells and spores) by CFU counting upon root colonization of tomato plantlets roots (Mean ± SD, n = 6).
(B) Assessment of spores percentages by flow cytometry (see STAR Methods) in planktonic cultures of GA1 after 48h upon supplementation with 0.1% (m/v) PEC or HG (Mean ± SD, n = 3, Tukey’s multiple comparisons, α = 0.05).
(C) Time-course measurement of sporulation dynamics over time of GA1 (left axis) in control medium (light gray bars) and upon supplementation with 0.1% (m/v) HG (dark gray bars) regarding bacterial OD600 (right axis) in the control medium (red dots) and upon supplementation with 0.1% (m/v) HG (green dots) (Mean ± SD, n = 3).
(D) Assessment of spores percentages (as described in Panel B) in planktonic cultures of GA1 after 48h upon supplementation with 0.1% (m/v) HG of different DP (HG, mean DP ≈ 17032; OGA, mean DP = 13; OGB, mean DP = 4; GA, DP = 1) (Mean ± SD, n = 3, Tukey’s multiple comparisons, α = 0.05).
(E) Relative gene expression of spo0A and abrB in GA1 cells in the control medium (white bars) and upon supplementation with 0.1% (m/v) HG (gray bars) in planktonic cultures of 24h (Mean ± SD, n = 3, t-test; ∗, p < 0.05; ∗∗, p < 0.01).
(F) Population diversity in biofilm pellicles formed at the air-liquid interface determined by flow cytometry after RSG staining (see STAR Methods) in the control medium and upon supplementation with 0.1% (m/v) HG. Gate P1, P2, P3, P4 stand for highly metabolically active vegetative cells, low metabolically active vegetative cells, spore-forming cells and mature spores respectively.
(G) Assessment of spores percentages (as described in panel B) in planktonic cultures of GA1 and the mutant ΔepsA-O after 48h upon supplementation with 0.1% (m/v) HG (Mean ± SD, n = 3, t-test; ns, ∗∗∗∗, p < 0.0001). See also Figure S3.
The initiation of sporulation in bacilli is regulated by the master transcription factor Spo0A, depending on its abundance and phosphorylation state.61 The active form Spo0A-P is indeed responsible of the direct regulation of hundreds of genes involved in the sporulation mechanism. It includes repression of the global transition state regulator AbrB, known to influence the expression of a large number of genes at late growth phase.62,63 We therefore anticipated that differences in expression of both spo0A and abrB genes should be induced in response to HG before the release of the first mature spores observed after 30h. Accordingly, RT-qPCR measurements show a significant increase in spo0A expression and a concomitant repression of abrB in presence of HG in cells collected after 24h (Figure 4E). The strong repression of abrB in presence of HG thus reflects a higher cellular concentration of Spo0A-P, necessary to initiate the sporulation mechanism.
Next, we wanted to verify if enhanced sporulation was also triggered by HG in biofilm pellicles of GA1. We analyzed by flow cytometry the population diversity of cells embedded in biofilm pellicles of GA1 and we observed that cells also sporulate faster upon HG supplementation, with a 8.5-fold increase of mature spore population in the 48h-pellicle compared with the control medium. As a consequence, the bacterial population in the mature biofilm in presence of HG is almost exclusively constituted of spores after 120h (Figure 4F). Still, such a higher sporulation dynamics could be an indirect effect of HG rather than a direct effect of its perception since it has been shown that the sporulation rate of B. subtilis NCIB 3610 increases when the bacterium produces exopolysaccharides.64 However, sporulation is also significantly increased in the non-EPS producing mutant ΔepsA-O upon HG supplementation (Figure 4G), confirming that HG perception has a direct effect on the sporulation mechanism.
Homogalacturonan sensing impacts the production of bioactive secondary metabolites in B. velezensis
We also investigated the possible modulation of SMs production by B. velezensis in response to HG since these small-size chemicals contribute to the rhizosphere fitness of the bacterium and play key roles in its biocontrol activity.14,15,65 We first performed an untargeted profiling of metabolites secreted by planktonic GA1 cells in liquid cultures supplemented or not with HG. Cell-free extracts collected at stationary growth phase were analyzed by UPLC-qTOF-MS and data processing with MZmine266 allowed us to detect features and the corresponding compounds differentially produced upon HG sensing. Beside unknown hits, we could identify some non-ribosomal lipopeptides (LPs) and polyketide (PKs)-type metabolites with production modulated in response to HG but in a specific way depending on the family (Figure 5A). The production of the surfactin- and iturin-type LPs and to a lower extent, the PKs bacillaene and difficidin, are significantly increased in presence of HG while fengycins and macrolactins are not or negatively impacted respectively (Figures 5A and S4A). However, due to specific transcriptional regulations, the kinetic of synthesis of these metabolites differs depending on the growth phase, which means that the amplitude and timing of the stimulating effect of HG can vary according to the molecule and sampling time. Thus, we decided to refine the time course analysis focusing on the LPs as key compounds widely produced by several plant-beneficial Bacillus species.67 We observed a pronounced early stimulation of surfactins production (Figure 5B left) as previously described,32 which correlates with an enhanced expression of the srfAA gene, one of the genes encoding for the surfactins synthetase (Inset Figure 5B left). However, our data also reveal a clear stimulation of iturins and fengycins production upon HG supplementation (Figure 5B middle and right), which is concomitant with a higher expression of the related biosynthesis genes ituC and fenC (Inset Figure 5B middle and right). This phenomenon is independent of pectin degradation products since the stimulation is also observed in cultures of ΔpelAΔpelB cells upon HG supplementation as shown for iturins production (Figure S4B).
Figure 5.
Homogalacturonan sensing impacts the production of bioactive secondary metabolites in B. velezensis
(A) Impact of HG supplementation on the secondary metabolome of GA1 at late exponential/stationary phase. Each dot represents a feature detected corresponding to a specific compound (molecular ion with exact mass in UPLC-MSMS). The variety of dots in each family of metabolites reflects the natural co-production of structural variants differing in the length and isomery of the fatty acid chain and in the position of some amino acid residues in the peptide moiety. Data are expressed as peak area fold change per OD600, compared to control culture (Mean ± SD, n = 3).
(B) Relative production of surfactins, iturins and fengycins (from left to right) in planktonic cultures of GA1 in the control medium (white bars) and upon supplementation with 0.1% (m/v) HG (gray bars) (Mean ± SD, n = 3, t-test; ns, non-significative; ∗, p < 0.05; ∗∗, p < 0.01; ∗∗∗, p < 0.001). Inset: Expression pattern of srfAA, ituC and fenC genes (from left to right) in planktonic cultures of GA1 in the control medium (white bars) and upon supplementation with 0.1% (m/v) HG (gray bars) (Mean ± SD, n = 3, t-test; ns, non-significative; ∗∗, p < 0.01; ∗∗∗, p < 0.001).
(C) UPLC-MS total ion chromatogram (TIC) illustrating the relative abundance of lipopeptides surfactins, iturins and fengycins and their corresponding structure synthesized by GA1 cells forming biofilm at the air liquid interface in the control medium (red) and upon supplementation with 0.1% (m/v) HG (black) after 72h. The different peaks eluted for each lipopeptide family correspond to structural variants and homologs as described in panel A. See also Figure S4.
We also wondered whether the acceleration of sporulation dynamics in GA1 upon HG perception has an effect on the potential of the bacterium to efficiently synthesize these bioactive SMs when it forms thick spore-enriched biofilms. UPLC-qTOF-MS profiling of LPs produced by mature biofilm of GA1 with and without HG added to the medium reveal similar amounts of iturins, fengycins, and surfactins in both conditions (Figure 5C). Therefore, the faster increase in spore population in biofilm triggered upon HG perception does not impair the ability of the bacterial community to efficiently synthesize these SMs. This can be explained considering the higher production rate of iturins, surfactins and fengycins by active cells in the population even if the relative proportion of these vegetative cells is lower in presence of HG.
Discussion
According to our current knowledge, the molecular dialogue between beneficial rhizobacteria and their host plant is mainly mediated by small-size diffusible compounds.32,68,69 However, signaling that may occur upon direct contact remains relatively unknown. In this work, we demonstrate that pectin backbone HG is perceived as a host cue by the beneficial species B. velezensis, which in turn, readily stimulates key developmental traits such as biofilm formation, sporulation, but also production of various bioactive SMs with specific functions. Our data come in support to the few studies mainly performed on B. subtilis reporting that some plant cell wall polysaccharides may act as trigger of biofilm formation.32,36,37,38,39 However, we provide a more comprehensive picture of the multifaceted response mounted by the typical plant-associated B. velezensis aiming at increasing its fitness and ensuring its persistence in its natural competitive ecological niche.
We found that the potential of B. velezensis to perceive and respond to HG is associated with its ability to secrete two pectin/pectate lyases, constituting its very limited arsenal of pectin remodeling and degrading enzymes (Tables 1 and S1). These Pels contribute to bacterial fitness since depleted mutants are significantly affected in root colonization (Figures 2A and 2B). B. velezensis can feed on galacturonic acid, the constitutive monomer of HG, only if it is already available in the rhizosphere due to its uncomplete pathway to assimilate HG degradation products (Figures 2F and 2G), in contrast with microbial plant pathogens generating and consuming monomers from HG directly encountered in the plant cell wall.70,71 From an ecological point of view, the presence of such enzymes in the genome of beneficials raises questions. Indeed, the ability to synthesize active plant cell wall degrading enzymes, which are very abundant in phytopathogenic microorganisms, is considered as one of the main traits responsible of their virulence.71,72,73 Therefore, it is tempting to speculate that such mutualistic bacteria living in intricate association with roots might have co-evolved with their host, leading to a decrease of their arsenal of pectin degrading enzymes to be tolerated by the plant. We assume that the role of Pels in colonization of plant roots by B. velezensis relies on the fact that their activity may either facilitate accessibility to the HG backbone for the bacterium without being detrimental to the host plant and release some high-DP OGs from the complex polymer, to which the bacterium is able to respond. A reduced arsenal of pectin degrading enzymes, with moderate activity, could also be used to weaken cell-to-cell adhesion by gently degrading pectin of the middle lamella to colonize intercellular spaces in root tissues as it has been shown for Enterobacter sp. SA187.74
The ability of bacteria to form robust biofilms in their natural ecological niche is considered as an essential adaptive trait. In the case of rhizobacteria, it facilitates attachment to the root and efficient colonization, which is required to exert their beneficial effects on the host plant.25,30,50,75,76 Here we showed that, in B. velezensis, this process is favored by the ability of the bacterium to sense HG and high-DP OGs (Figure 3B). Early biofilm pellicle formation triggered by HG (Figure 3F) correlates with transcriptional activation of genes playing key roles in biofilm initiation (i.e., EPS and cohesion proteins synthesis) and concomitant repression of genes involved in motility (Figures 3C and 3D), further illustrating the trade-off and incompatibility of both processes as reported in B. subtilis.77 Moreover, we detected a higher eDNA content in the biofilm pellicle upon HG sensing (Figure 3E), which can contribute to biofilm robustness since eDNA is known to interact with EPS to promote cell adhesion.56 Besides ensuring cell cohesion and adhesion to surfaces, which are two traits governing biofilm stability,78 EPS and the hydrophobin layer of the biofilm also act as a shield to protect the cell community within the biofilm from external stresses and against toxins and/or infiltration by competitors.25,79,80 This confers an advantage to B. velezensis in terms of ecological fitness in the highly competitive rhizosphere niche where microbial warfare dominates.
Cell differentiation is inherent to biofilm formation and guarantees the survival of the community and proliferation of the species in response to adverse abiotic conditions or microbial competitors.81,82,83,84 Biofilm formation and sporulation can be seen as interlinked processes since both are controlled by the same global regulators.61,85,86 Interestingly, our data show that the sporulation dynamics of GA1 cells is highly accelerated upon HG sensing both in biofilms and in cells in planktonic cultures (Figures 4B and 4F), independently of EPS synthesis (Figure 4G) indicating that it results directly from HG perception inducing transcriptional changes in key regulators genes of sporulation such as spo0A and abrB (Figure 4E). Via an enhanced sporulation, GA1 also avoids the strong decrease in population observed at the end of the exponential growth phase in liquid cultures (Figure 4C). Bacilli are known to exhibit a social behavior called cannibalism when they face nutrient starvation during which a portion of the population feed itself on the other to survive.87,88,89,90 Therefore, by enhancing sporulation dynamics upon HG perception, GA1 might highjack this phenomenon and allow a greater persistence of cells on plant roots. A prompt formation of spore-enriched biofilms should globally favor the establishment of robust populations on roots.
The secretion of SMs is also one of the factors contributing to the modulation of the fitness of the bacteria in the highly competitive rhizosphere and B. velezensis is one of the most prolific species regarding this aspect.14,15,16,17 In this work, we observed that HG sensing also results in modulation of the secondary metabolome of GA1 (Figures 5A, 5B, and S4A). As recently reported, it includes an increased synthesis of the cyclic LPs surfactins, favoring biofilm formation and motility and priming the plant immune system leading to systemic reinforcement of the host against phytopathogens.32,91 Iturins and fengycins are other lipopeptides boosted upon HG perception, mainly described for their strong antifungal activity against a wide range of phytopathogens15,19 but also reported as elicitors of plant systemic resistance.92,93,94,95 PKs synthesis of the bacillaene and difficidin families, with broad-spectrum antibiotic activities against gram-negative bacteria,96,97,98,99,100 is also enhanced in response to HG. Enhanced production of these SMs is thus of clear benefit for plant health and biocontrol. However, in the rhizosphere as in any other populated environment, microbes dwell in a context of competitive interactions where antibiotics are raised as weapons for chemical warfare.12,67 The changes occurring in the secondary metabolome described here may result in an enhanced global antimicrobial potential of B. velezensis as we reported recently upon sensing bacterial competitors in interspecies interactions.21 Importantly, our data also show that efficient production of these bioactive metabolites by B. velezensis is still occurring in spore-enriched biofilms (Figure 5C) and therefore in multicellular communities developing on the roots of its host on which the bacteria tend to rapidly differentiate into spores (Figure 4A).
That said, the molecular basis underpinning HG perception by bacilli cells is still unclear. Our data show that the bacterial response is not indirectly triggered by some physico-chemical cues such as structuring effect or osmotic stress that may have been caused by the addition of the polymer (Figures 3I and S1B). Moreover, B. velezensis responds to relatively low concentrations of HG (Figure 3H) but also does not react to short-DP OGs and GA monomer, suggesting some sensitive recognition system triggered selectively by high-DP HG of a minimal length. Therefore, we assume that polymer sensing may rely on a specific receptor-based recognition process as it has been reported for Sphingomonas spp,101 but further investigation is required to identify such putative receptor. The membrane-anchored histidine kinases (KinA-E) are good candidates since in B. subtilis, they are activated in response to a range of environmental cues including potassium leakage induced by surfactin,22 plant polysaccharides37 and potentially oxygen, light and redox potential102,103 which results in phosphorylation of the master regulator Spo0A acting on both biofilm formation and sporulation, according to the level of its phosphorylation state.61,84 However, whether such Kin system is involved or not in the perception of HG by B. velezensis remains to be established.
In conclusion, perception of HG as host-associated cue underpins a new aspect of interkingdom molecular interactions between plants and their bacterial associates such as B. velezensis. Using HG as signal allows Bacillus to eavesdrop its host, establish and proliferate in the rhizosphere. Improved fitness in terms of root colonization and persistence means a higher niche competition and establishment of threshold populations necessary to produce, in biologically relevant amounts, its unique arsenal of antimicrobials and plant immunity elicitors, all of them contributing to a better protection of the plant against pathogens and in fine to biocontrol. So, beyond the interest in microbial chemical ecology in the broad sense, this knowledge is essential for optimizing the use of B. velezensis as environmentally robust inoculant in sustainable crop production.
Limitations of the study
In this study, we highlight the importance of HG as major constituent of pectin in the context of plant-bacteria interactions. However, the mechanism underlying the perception of this polymer as molecular pattern by B. velezensis remains to be determined, including the identification of potential specific receptor at the bacterial cell surface. Moreover, it could be relevant to study if this ability to perceive and respond to such plant CWP is also found in other bacterial species and genera commonly used as plant growth-promoting rhizobacteria (PGPR). Biocontrol assays would also be interesting to assess if the stimulation of lipopeptide production by B. velezensis upon HG supplementation may lead to higher protection of the host plant against the attack of phytopathogens. Finally, it would be relevant to extend the scope of this study and further investigate the impact of the application of exogenous HG at the plant microbiome level.
STAR★Methods
Key resources table
| REAGENT or RESOURCE | SOURCE | IDENTIFIER |
|---|---|---|
| Chemicals, peptides, and recombinant proteins | ||
| MOPS | Sigma | Cat#M1254 |
| Bacto™ Casamino acids | ThermoFisher Scientific | Cat#223050 |
| Bacto™ Yeast extract | ThermoFisher Scientific | Cat#212750 |
| HG: Galacturonan polysaccharides LM | Elicityl | Cat#GAT100 |
| HGHM: Galacturonan polysaccharides HM | Elicityl | Cat#GAT101 |
| GA: Galacturonic acid | Sigma | Cat#93478 |
| OGA | Pr. Emmanuel Petit (UPJV, France) | N/A |
| OGB | This study | N/A |
| PEC | This study | N/A |
| Chloramphenicol | AppliChem | Cat#A1806 |
| Phleomycin | InvivoGen | Cat#ant-ph-1 |
| Tris-HCl | Sigma | Cat#T3253 |
| Tween20 | Sigma | Cat#P9416 |
| TFA: Trifluoroacetic acid | Sigma | Cat#302031 |
| Crystal Violet solution | Sigma | Cat#V5265 |
| FloraBloom | General Hydroponics Europe (GHE) | N/A |
| FloraMicro | General Hydroponics Europe (GHE) | N/A |
| FloraGro | General Hydroponics Europe (GHE) | N/A |
| Critical commercial assays | ||
| NucleoSpin RNA Kit | Macherey Nagel | Cat#740955.250 |
| Luna® Universal One-Step RT-qPCR Kit | New England Biolabs | Cat#E3005L |
| QuantiFluor dsDNA system | Promega | Cat#E2670 |
| BacLight™ RedoxSensor™ Green vitality kit | ThermoFisher Scientific | Cat#B34954 |
| Deposited data | ||
| RNAseq data exploited in this paper | Hoff et al., 202132 |
https://www.ebi.ac.uk/ena/ Project reference: PRJEB39762 |
| Experimental models: Organisms/strains | ||
| Bacterial strains (see Table S4) | ||
| Tomato: Solanum Lycopersicum L. | Sluis Garden | Cat#SL0765 |
| Oligonucleotides | ||
| Oligonucleotides (see Table S5) | This study | N/A |
| Software and algorithms | ||
| MEGA11 | Tamura et al., 2021107 | https://www.megasoftware.net/ |
| MassHunter v10.0 | Agilent | https://www.agilent.com/en/product/software-informatics/mass-spectrometry-software |
| MzMine2 | Pluskal et al., 201066 | http://mzmine.github.io/features.html |
| Trimmomatic v0.39 | Bolger et al., 2014113 | http://www.usadellab.org/cms/?page=trimmomaticv |
| FastQC v0.11.8 | Babraham Bioinformatics | https://www.bioinformatics.babraham.ac.uk/projects/fastqc/ |
| BWA-MEM v0.7.17 | Li and Durbin., (2009)114 | https://maq.sourceforge.net/ |
| HTSeq v0.9 | Anders et al., 2015115 | https://htseq.readthedocs.io/en/release_0.9.1/history.html#version-0-9-0 |
| DESeq2 | Love et al., 2014117 | https://bioconductor.org/packages/release/bioc/html/DESeq2.html |
| NIS-Element AR software | Nikon | https://www.microscope.healthcare.nikon.com/products/software/nis-elements/nis-elements-advanced-research |
| GraphPad Prism 9 | GraphPad Software | https://www.graphpad.com/features |
| Other | ||
| SPARK multiplate reader | Tecan | https://lifesciences.tecan.com/multimode-plate-reader |
| Mixer Mill MM400 | Retsch | https://www.retsch.com/products/milling/ball-mills/mixer-mill-mm-400/ |
| Hydroponic systems | Araponics | Cat#K72L |
| Dionex™ ICS-3000 Ion Chromatography System | Conquer scientific | https://conquerscientific.com/product/dionex-ics-3000-ion-chromatography-system/ |
| Dionex™CarboPac™ PA-1 column (4 mm × 250 mm) | ThermoFisher Scientific | Cat#035391 |
| NanoDrop 2000 | ThermoFisher Scientific | Cat#ND-2000 |
| StepOne™ Real-Time PCR system | ThermoFisher Scientific | Cat#4376357 |
| 3.5kD MWCO Spectra/Por dialysis membrane | VWR | Cat#25219-085 |
| Vivaspin20 centrifugal concentrator polyethylene sulfone 10,000Da MWCO | Sartorius | Cat#VS2001 |
| UHPLC Agilent 1290 Infinity II | Agilent | https://www.agilent.com/en/product/liquid-chromatography/hplc-systems/analytical-hplc-systems/1290-infinity-ii-lc-system |
| Luna® HILIC 200 Å column (150 x 3 mm x 5 μm) | Phenomenex | Cat#00F-4450-Y0 |
| Acquity UPLC BEH C18 column (2.1 x 50mm x 1.7μm) | Waters | Cat#186002350 |
| 6530 Q-TOF mass spectrometer | Agilent | Cat#G6530AA |
| Sonoplus HD 2070 ultrasonic homogenizer | Bandelin | https://profilab24.com/en/laboratory/ultrasonic/bandelin-sonopuls-hd-2070-homogeniser |
| BD Accuri™ C6 Plus Flow cytometer | BD Biosciences | https://www.bdbiosciences.com/en-us/products/instruments/flow-cytometers/research-cell-analyzers/bd-accuri-c6-plus |
| Nikon SMZ1270 stereomicroscope | Nikon | https://www.microscope.healthcare.nikon.com/products/stereomicroscopes-macroscopes/smz1270-smz1270i |
| Nikon Ti2-E inverted microscope | Nikon | https://www.microscope.healthcare.nikon.com/products/inverted-microscopes/eclipse-ti2-series |
Resource availability
Lead contact
Further information and requests for resources and reagents should be directed to and will be fulfilled by the lead contact, Marc Ongena (marc.ongena@uliege.be).
Materials availability
Bacterial strains and mutants generated in this study are available upon request from Marc Ongena (marc.ongena@uliege.be). This study did not generate new unique plasmids or reagents.
Experimental model and subject details
Bacterial strains and construction of B. velezensis GA1 knockout mutants
All the bacterial strains used in this study are listed in Table S4. Knockout mutant strains of B. velezensis GA1 were constructed by gene replacement by homologous recombination. Briefly, a cassette containing a chloramphenicol or phleomycin resistance gene flanked by 1 kb of the upstream and downstream region of the targeted gene (see Table S5 for primers) was constructed by PCR overlap following the method developed by Bryksin and Matsumura.105 This recombinant cassette was introduced into B. velezensis GA1 following a slightly modified protocol developed by Jarmer et al.106 to induce natural competence via nitrogen limitation. Briefly, one colony of GA1 was inoculated in LB medium during 6h at 37°C under shaking (160rpm). Then, 1mg of the recombinant cassette was added to the GA1 washed cell suspension adjusted to an OD600 of 0.01 in MMG medium at pH 7 (19g/l K2HPO4, 6g/l KH2PO4, 1g/l Na3citrate, 0.2g/l MgSO4.7H2O, 2g/l Na2SO4, 50mM FeCl3 [sterilized by filtration at 0.22μm], 2mM MnSO4 [sterilized by filtration at 0.22 μm], 8g/l glucose, and 2g/l L-glutamic acid). Incubation was performed at 37°C under shaking (160rpm) during 24h. Cells were plated on LB medium solidified with agar (14g/l) supplemented with 5μg/ml chloramphenicol or 4μg/ml phleomycin to only select cells having integrated the recombinant cassette by double crossing over. Gene deletions were confirmed by PCR analysis with the corresponding specific upstream forward and downstream reverse primers.
Culture media and growth conditions
Bacterial cultures were performed at 26°C under shaking (160rpm) in root exudates mimicking medium diluted to the half (REM)31 at pH 7: 1g/l glucose, 1.7g/l fructose, 0.2g/l maltose, 0.3g/l ribose, 2g/l citrate, 2g/l oxalate, 1.5g/l succinate, 0.5g/l malate, 0.5g/l fumarate, 0.34g/l KH2PO4, 10.5g/l MOPS, 0.25g/l MgSO4 7H2O, 0.25g/l KCl, 0.5g/l yeast extract, 0.5g/l Casamino acids, 1g/l (NH4)2SO4, 600μg/l Fe2(SO4)3, 200μg/l MnSO4, 800μg/l CuSO4, 2mg/l Na2MoO4. Following the experiment, PEC, HG(HM) (Elicityl), oligogalacturonides (OGs) or galacturonic acid (GA, Sigma) were normalized in terms of weight and were added at a final concentration of 0.1% (m/v) in the REM.
To assess the use of pectin backbone as a carbon source, cultures were performed in modified M9 medium (M9 stock solution adjusted to pH7: 42.5g/l Na2HPO4.2H2O, 15g/l KH2PO4, 5g/l NH4Cl, 2.5g/l NaCl; trace elements solution: 0.1g/l MnCl2.4H2O, 0.17g/l ZnCl2, 0.043g/l CuCl2.2H2O, 0.06g/l CoCl2.6H2O, 0.06g/l Na2MoO4.2H2O; Calcium chloride solution: 14.7g/l CaCl2.2H2O; Magnesium sulfate solution: 246g/l MgSO4.7H2O; Iron chloride solution: 13.5g/l FeCl3.6H2O, 21g/l citric acid.H2O). All the solutions were filter sterilized (0.22μm CA membrane). M9 medium was reconstituted by mixing 200ml M9 stock solution, 1ml calcium chloride solution, 10ml trace elements solution, 1ml magnesium sulfate solution, 1ml iron chloride solution, 0.1% (m/v) glycerol and the volume was adjusted to 1l with ultrapure water. The carbon sources tested were normalized in terms of weight and were added to the medium at a final concentration of 0.2% (w/v).
For planktonic and biofilm cultures, the cells of an overnight preculture of the strain of interest were washed twice with sterile phosphate-buffered saline (PBS, 8g/l NaCl, 0.2g/l KCl, 1.44g/l Na2HPO4, 0.24g/l KH2PO4; pH 7.0), before being inoculated in the liquid medium at a final OD600 of 0.02 (planktonic cultures) or 0.1 (biofilm cultures).
Plant growth conditions
For plant root colonization assays, tomato seeds were sterilized in a 70% (v/v) ethanol solution for 2min, transferred in a 20% (v/v) bleach solution under shaking during 20min, and rinsed three times with sterile water. Sterilized tomato seeds were pre-germinated during 4 days in square petri dishes containing Hoagland medium solidified with agar (14g/l) at 22°C under a 16 h/8 h day/night cycle.
To extract pectin from tomato plant roots, tomato seeds were sterilized as described above. Then, seeds were transferred into seedholders filled with Hoagland medium with 0.7% (m/v) agar and grown during 4 weeks under a 16h/8h day/night cycle in hydroponic systems (Araponics, Belgium) filled with a nutritive solution (500μl/l FloraBloom, FloraMicro and FloraGro (General Hydroponics Europe)).
Method details
Phylogenetic and sequence identity analysis
All the analysis were carried out on MEGA11 software.107 Phylogenetic analysis was performed on a total of 20 pectin/pectate lyase sequences (classified in PL1 and PL3 family following the CAZy Database104) of soil-dwelling bacilli species retrieved from NCBI protein database. To construct the maximum likelihood tree, protein sequences were aligned by MUSCLE alignment and phylogenetic evolution was inferred using the “Maximum likelihood” method and “Whelan And Goldman” model (WAG) with a discrete Gamma distribution (+G). The best-fit substitution model was selected among all the substitution models implemented in MEGA11 by choosing the one yielding to the lowest BIC score for the dataset analyzed.
Pectin degradation activity measurement
Pectin degradation activity of cell-free culture supernatants (CFCS) of B. velezensis GA1 or GA1 knockout mutants was measured by spectrophotometry. Accumulation of unsaturated oligogalacturonates generated by the enzymes via the mechanism of β-elimination was evaluated by measuring the increase of absorbance at 232nm. Briefly, CFCS of the different strains were obtained by centrifugation (6000rpm, 10min) of the samples from the planktonic bacterial cultures in REM at different time points before being sterilized on a 0.22μm PTFE filter. Then, 25μl of the CFCS were added to 100μl of HG or HGHM (2.5g/l) dissolved in 50mM Tris-HCl buffer at pH 8. The reaction mixture was then incubated at 30°C under shaking and the increase of absorbance was measured at 232nm in a multiplate reader (Tecan SPARK, Männedorf, Switzerland). The molar extinction coefficient for unsaturated oligogalacturonates at 232nm is 4600 M-1 cm-1.108
Root colonization assay
Root colonization assays were performed on tomato plantlets under gnotobiotic conditions. 4 days-old tomato plantlets roots were inoculated with the bacterial strain of interest in the square petri dishes of solidified Hoagland medium in which the seeds were pre-germinated. To do so, cells from an overnight preculture in REM were washed twice with sterile PBS and OD600 was adjusted to 0.5. For the co-inoculation assay, 500μl of GA1 and ΔpelAΔpelB cell suspensions, both at OD600 adjusted to 0.5, were mixed together in an Eppendorf and vortexed. Then, 5μl of the bacterial suspensions were deposited on the root top. To quantify the bacterial colonization in-planta overtime, the roots were separated from the aerial part of the plant after 1, 3 and 7 days of colonization. The roots were placed in tubes containing a solution of PBS supplemented with 0.1% (m/v) Tween20 and vortexed vigorously to tear off the bacterial cells from the roots. The total colony-forming units (CFUs) were determined by plating serial dilutions of the bacterial solution on solid LB medium (for GA1 cells) or solid LB medium supplemented with 5μg/ml chloramphenicol (for ΔpelAΔpelB mutant cells) and incubated overnight at 30°C before proceeding to plate counting. For spores counting, the same solution containing the bacteria was heated at 85°C during 20min to kill vegetative cells before proceeding to the plating.
Extraction of pectin from tomato roots
Roots of 4 weeks-old tomato plants were harvested and lyophilized before being grinded with a Retsh MM400 mixer mill. The extraction of root cell wall was performed following an adapted protocol from Carpita109 and Silva et al.110 Briefly, 200mg of cell wall powder were resuspended into 40ml of ethanol 80% (v/v) and incubated at 90°C during 20min. After centrifugation (10,000g, 5min), supernatant was discarded and the same procedure described above was repeated 3 times on the pellet. Then, the pellet was washed with 20ml of ultrapure water and after centrifugation (10,000g, 5min), the pellet was resuspended in 10ml of acetone. The solution was centrifuged (10,000g, 5min) and the pellet was lyophilized to obtain the alcoholic residue (AR) for fractionation. The AR was resuspended in 20ml of ultrapure water and incubated at 80°C during 1h. After centrifugation (10,000g, 5min), the pellet was resuspended in 100ml of ammonium oxalate 1% (v/v) and incubated at 80°C during 2h. After centrifugation (10,000g, 5min), the supernatant was recovered, dialyzed on a 3.5kD MWCO Spectra/Por membrane (Spectrum Laboratories Inc.) and lyophilized to obtain the PEC fraction.
Simple sugar analysis of pectin fraction
To hydrolyse simple sugars from PEC fraction, 1ml of 2M trifluoroacetic acid (TFA) were added to 2mg of lyophilized pectin fraction and incubated at 121°C during 90min. Then, TFA was evaporated under N2 flow and the residue was resuspended in 1ml ultrapure water and filtered on a 0.2μm filter. Before analysis, the solution was diluted to 1mg/ml in ultrapure water. Neutral and acidic monosaccharide composition was determined by high-performance anion exchange chromatography (ICS3000 system) coupled with a pulsed amperometric detector (HPAEC-PAD) (Dionex, Thermo Scientific) equipped with a CarboPac PA-1 column (4 mm × 250 mm) and a CarboPac PA1 guard column (ID 4 mm × 50 mm). The injection volume was 25μl and elution was performed at 30°C with a constant flow rate of 1ml/min in gradient mode. For neutral sugar quantification, the mobile phases were ultrapure H2O (A), 160 mM NaOH (B) and 200 mM NaOH (C). The elution profiles were as follows : 0–25 min 90% A and 10% B, 25–26 min 0–100% C, 26–35 min 100% C, 25-36 min 100–0% C, 36–50 min 90% A and 10% B. For uronic acids quantification, the mobile phases were 0.16 M NaOH (A) and 0.6 M NaOAc in 0.16 M NaOH (B). The elution profiles were as follows: 0–5 min 100% A, 5–35 min 0–100% B, 35–40 min 100% B, 40–42 min 100–0% B and finally column re-equilibration by 100% A from 42 to 50 min. Monosaccharides arabinose, fucose, galactose, glucose, rhamnose, xylose, galacturonic acid and glucuronic acid (Sigma–Aldrich) were used as standards for quantification.
RNA extraction and RT-qPCR analysis
RNA extractions were performed with the NucleoSpin RNA Kit (Macherey Nagel, Germany), following the manufacturer’s protocol for Gram positive bacteria. The amount of RNAs extracted and their purity were assessed with the UV-vis spectrophotometer NanoDrop 2000 (Thermo scientific). RT-qPCR was performed in a ABI StepOne™ qPCR apparatus (Applied Biosystems) using the kit Luna® Universal One-Step RT-qPCR Kit (New England Biolabs, Ipswich, MA, United States). Reactions were carried out in a 20μl volume containing 10μL of Luna Universal One Step Reaction Mix, 1μL of Luna WarmStart® RT Enzyme Mix, 0.8μl of each primer (10μM) and 100ng of RNA under the following thermal cycling conditions: a 10min reverse transcription step at 55°C, a 1min initial denaturation step at 95°C and 40 cycles of 10s at 95°C and 30 s at 60°C. Melting curves were also realized from 65°C to 95°C with an increase rate of 0.5°C/5s to evaluate the specificity of the amplified products. The transcription level of genes of interest was analysed using the mathematical model proposed by Pfaffl.111 The gyrA gene encoding the DNA gyrase subunit A was used as housekeeping gene to normalise the expression level of the gene of interest.
Biofilm formation assay
Quantification of total biofilm was performed by crystal violet staining. Briefly, the strain of interest was inoculated in a 96-wells microplate containing 200μl of REM supplemented or not with 0.1% (m/v) HG, HGHM, OGs or GA. The plate was incubated at 30°C during 24h without shaking. Medium and planktonic cells were discarded, and wells were washed with PBS. The biofilm pellicle was stained with 0.1% (v/v) crystal violet during 10min and then wells were washed three times with PBS. The stained biofilm was dissolved with 30% (v/v) acetic acid. Absorbance was measured at 595nm.
Generation of short-DP OGs
OGs of short polymerization degree (OGB) were generated from the reaction of concentrated 24h-CFCS of B. velezensis GA1 Δsfp unable to synthesize lipopeptides, on HG as substrate. Briefly, the CFCS was obtained as described in the section “pectin degradation activity measurement”. The CFCS was then concentrated 50x on a Vivaspin20 centrifugal concentrator with a polyethylene sulfone membrane of 10,000Da MWCO (Sartorius). The enzymatic reaction was performed at 30°C by mixing 25% (v/v) of concentrated supernatant with a solution of 0.5% (m/v) HG resuspended in 50mM Tris-HCl buffer at pH 8. Absorbance at 232nm was followed until the enzymatic reaction reached a plateau. Then, short-DP OGs were separated from larger molecules according to the protocol of Voxeur et al.112 via ethanol precipitation. The supernatant was then recovered and lyophilized.
Analysis of OGs profile
Relative quantification and polymerization degree of OGs were evaluated by UPLC-qTOF MS. For each sample, a volume of 10μl was injected in an Agilent 1290 Infinity II apparatus coupled with a diode array detector and a mass detector (Jet Stream ESI-Q-TOF 6530) with the parameters set up as follows: capillary voltage: 3.5kV; nebulizer pressure: 35psi; drying gas: 8l/min; drying gas temperature: 300°C; flow rate of sheath gas: 11l/min; sheath gas temperature: 350°C; fragmentor voltage: 175V; skimmer voltage: 65V; octopole RF: 750V. Accurate mass spectra were recorded in negative mode in the range of m/z = 50-1700. OGs were separated on a Luna HILIC column (3mm x 150mm x 5μm, Phenomenex, Torrance, California, USA) using a gradient of water (solvent A) and 90% acetonitrile (solvent B) that were both acidified with 0.1% (v/v) formic acid and supplemented with 15mM ammonium formate as mobile phase, with a constant flow rate of 0.5ml/min and a temperature of 40°C. For the separation of OGs, initial gradient was decreased from 100% B to 85% B in 4min before decreasing to 0% B in 16min. Solvent B was kept at 0% during 10min before going back to 100% B. Polymerization degree of the detected OGs was determined based on accurate mass measurement and relative quantification was based on peak area of the extracted ion chromatogram generated by MassHunter worksation v10.0.
Extracellular DNA (eDNA) detection in biofilm pellicles
Biofilms of GA1 were grown in a 96-wells black microplate containing 200μl of REM supplemented or not with 0.1%(m/v) HG and incubated at 30°C without shaking. eDNA present in the biofilm pellicles formed at the air-liquid interface was measured using the kit QuantiFluor dsDNA system (Promega, Madison, WI, USA) according to manufacturer’s protocol. Briefly, medium and planktonic cells were discarded, and wells were washed with PBS in order to only keep the biofilm pellicles. Then, 200μl of QuantiFluor® dsDNA Dye working solution (1:400 QuantiFluor® dsDNA Dye in 1X TE buffer) were dispensed into each well and homogenized with the pellicles by pipetting up and down. Microplate was incubated in the dark at room temperature during 5min and the fluorescence intensity (504nmEx/531nmEm) was measured using a microplate reader (Tecan SPARK, Männedorf, Switzerland).
Cell counting in biofilm pellicles
To evaluate the bacterial population embedded in the biofilm pellicles, GA1 cells were inoculated in a 24-wells microplate containing 2ml of REM supplemented or not with 0.1% (w/v) HG and incubated at 30°C without shaking. The biofilm pellicle formed at the air-liquid interface was then collected, resuspended into 2ml PBS and mildly sonicated (Power 60%, 2 cycles, 1min) on a Sonoplus apparatus HD 2070 (Bandelin). Several dilutions were plated on solid LB medium and incubated at 30°C overnight before counting.
Stereomicroscopy acquisitions
Pictures of biofilm pellicles of GA1 formed at the air-liquid interface were taken with a Nikon SMZ1270 stereomicroscope (Nikon, Japan) equipped with a Nikon DS-Qi2 monochrome microscope camera and a DS-F 1× F-mount adapter. Pictures were captured in the bright field channel with an ED Plan Apo 1×/WF objective and a 0.63x magnification of with an exposure time of 40ms. Additionally, pictures of biofilm pellicles at 6h were captured with a 3x magnification and an exposure time of 10ms to get a better view of the structures in formation. Acquisitions were then processed with NIS-Element AR software (Nikon, Japan).
Microscopy acquisitions
Microscopy acquisitions were performed using a Nikon Ti2-E inverted microscope (Nikon, Japan) equipped with a ×20/0.45 NA S Plan Fluor objective lens (Nikon, Switzerland) and a Nikon DS-Qi2 monochrome microscope camera. Images and videos taken in the bright field channel were acquired using a Ti2 Illuminator-DIA and an exposure time of 20ms. GA1 cells strained with RedoxSenor Green (RSG) (BacLight vitality kit, Thermofisher) were visualized by conventional epifluorescence microscopy with a ×100/1 oil NA S Plan Fluor objective lens (Nikon, Switzerland). A lumencor sola illuminator (Lumencor, USA) was used as the source of excitation with an exposure time of 500ms and the GFP-B HC Bright-Line Basic Filter was used. Acquisitions were then processed with NIS-Element AR software (Nikon, Japan).
Flow cytometry analysis
Cell activity of GA1 cells was evaluated by RSG staining. For the experiments conducted under biofilm conditions, the pellicles formed at the air-liquid interface were collected, resuspended into PBS and mildly sonicated as described in the section “cell counting in biofilm pellicles”, before staining. To stain GA1 cells, 1μl of RSG 10x diluted were added to 1ml of cell culture appropriately diluted in filtered PBS and incubated in the dark during 10min. RSG fluorescence (FL1-490nmex/520nmem) and cell size (FSC-H) were measured by flow cytometry using a BD Accuri™ C6 appartus (BD Biosciences) under the following conditions: Medium fluidics (35μl/min); 20,000 events recorded; FSC-H threshold 20,000.
Analysis of BSMs
The detection of B. velezensis metabolites was performed by UPLC-qTOF MS. Before analysis, samples from planktonic cell cultures were filtered on a 0.22μm PTFE filter. For the analysis of metabolites of biofilm-forming cells, the content of each well of the microplate was mildly sonicated as described in the section “cell counting in biofilm pellicles”, before filtration. For each sample, a volume of 5μl was injected in an Agilent 1290 Infinity II appartus coupled with a diode array detector and mass detector (Jet Stream ESI-Q-TOF 6530) with the parameters set up as described in the section “analysis of OGs profile”. Accurate mass spectra were recorded in positive mode in the range of m/z =100–1700. Metabolites were separated on a C18 Acquity UPLC BEH column (2.1 × 50 mm × 1.7 μm; Waters, milford, MA, USA) using a gradient of water (solvent A) and acetonitrile (solvent B) both acidified with 0.1% formic acid as a mobile phase with a constant flow rate 0.6ml/min and a temperature of 40°C. The gradient was set up to start at 10% B and kept in this condition during 1min before raising to 100% B in 10 min. Solvent B was kept at 100% for 3.5 min before going back to the initial ratio. MassHunter v10.0 workstation and the open-source software MzMine266 were used for data collection and analysis.
RNA-seq data analysis
The analysis of RNAseq data used in this study has been described in details previously.32 In the present study, we focused especially on genes involved in motility and EPS and cohesion protein synthesis. Briefly, raw RNA-seq reads were trimmed with Trimmomatic v0.39113 and quality control was assessed using FastQC v0.11.8 (Babraham Bioinformatics). The trimmed reads were then aligned to the genome of B. velezensis GA1 (GenBank: CP046386) using BWA-MEM v0.7.17.114 Read counts were calculated using the python-based tool HTSeq v0.9115 and the tables of fragments per kilobase of transcript per million mapped reads (FPKM) were generated using the Cufflinks function cuffnorm.116 Genes with read counts <25 were excluded. Differential expression analysis was conducted using DESeq2 pipeline,117 considering the following parameters: P-value<0.05 and fold change ≥1.5. Heatmaps were performed on GraphPad Prism 9.
Quantification and statistical analyses
All statistical analyses were performed on GraphPad Prism 9. Results are expressed as mean ± SD (standard deviation). Analysis of variance (ANOVA) was performed on each data set and statistical differences between means were evaluated by two-tailed Student’s t-test or Tukey’s multiple comparisons (α=0.05). The number of biological replicates used for each experiment and P-values are indicated in the legends of the corresponding figures.
Acknowledgments
This work was supported by the PDR research project ID 26084552 from the F.R.S.-FNRS (National fund for Scientific Research in Belgium) and by the EOS project ID 30650620 from the FWO/F.R.S.-FNRS. F.B., A.A., and A.R. are recipient of an F.R.I.A. fellowship (F.R.S.-FNRS) and MO is Research Director at the F.R.S.-FNRS. We gratefully acknowledge Emmanuel Petit for providing the oligogalacturonides of high polymerization degree and Catherine Helmus for technical help.
Author contributions
F.B. and M.O. conceived, designed, and coordinated the project. F.B., G.H., A.A.A., S.S., S.A., A.A., R.R., A.R., and O.V.W. generated materials, performed experiments, and/or analyzed data. F.B. and M.O. wrote the manuscript. O.V.W., A.A., and G.H. revised the manuscript. O.V.W. and G.H. were involved in the discussion of the work.
Declaration of interests
The authors declare no competing interests.
Published: September 15, 2023
Footnotes
Supplemental information can be found online at https://doi.org/10.1016/j.isci.2023.107925.
Contributor Information
Farah Boubsi, Email: farah.boubsi@uliege.be.
Marc Ongena, Email: marc.ongena@uliege.be.
Supplemental information
Data and code availability
-
•
Data: The RNA-seq data sets (generated by Hoff et al.32) exploited for this study are deposited at https://www.ebi.ac.uk/ena/ under the project reference PRJEB39762.
-
•
Code: This paper does not report original code.
-
•
Any other item: Any additional information regarding the data reported in this study is available from the lead contact upon request.
References
- 1.Prashar P., Kapoor N., Sachdeva S. Rhizosphere: Its structure, bacterial diversity and significance. Rev. Environ. Sci. Biotechnol. 2014;13:63–77. doi: 10.1007/S11157-013-9317-Z. [DOI] [Google Scholar]
- 2.Mendes R., Garbeva P., Raaijmakers J.M. The rhizosphere microbiome: significance of plant beneficial, plant pathogenic, and human pathogenic microorganisms. FEMS Microbiol. Rev. 2013;37:634–663. doi: 10.1111/1574-6976.12028. [DOI] [PubMed] [Google Scholar]
- 3.Müller D.B., Vogel C., Bai Y., Vorholt J.A. The Plant Microbiota: Systems-Level Insights and Perspectives. Annu. Rev. Genet. 2016;50:211–234. doi: 10.1146/annurev-genet-120215-034952. [DOI] [PubMed] [Google Scholar]
- 4.Vives-Peris V., de Ollas C., Gómez-Cadenas A., Pérez-Clemente R.M. Root exudates: from plant to rhizosphere and beyond. Plant Cell Rep. 2020;39:3–17. doi: 10.1007/s00299-019-02447-5. [DOI] [PubMed] [Google Scholar]
- 5.Wang N., Wang L., Zhu K., Hou S., Chen L., Mi D., Gui Y., Qi Y., Jiang C., Guo J.-H. Plant Root Exudates Are Involved in Bacillus cereus AR156 Mediated Biocontrol Against Ralstonia solanacearum. Front. Microbiol. 2019;10 doi: 10.3389/fmicb.2019.00098. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Xie S., Jiang L., Wu Q., Wan W., Gan Y., Zhao L., Wen J. Maize Root Exudates Recruit Bacillus amyloliquefaciens OR2-30 to Inhibit Fusarium graminearum Infection. Phytopathology. 2022;112:1886–1893. doi: 10.1094/PHYTO-01-22-0028-R. [DOI] [PubMed] [Google Scholar]
- 7.Xiong Y.-W., Li X.-W., Wang T.-T., Gong Y., Zhang C.-M., Xing K., Qin S. Root exudates-driven rhizosphere recruitment of the plant growth-promoting rhizobacterium Bacillus flexus KLBMP 4941 and its growth-promoting effect on the coastal halophyte Limonium sinense under salt stress. Ecotoxicol. Environ. Saf. 2020;194 doi: 10.1016/j.ecoenv.2020.110374. [DOI] [PubMed] [Google Scholar]
- 8.Tian B., Zhang C., Ye Y., Wen J., Wu Y., Wang H., Li H., Cai S., Cai W., Cheng Z., et al. Beneficial traits of bacterial endophytes belonging to the core communities of the tomato root microbiome. Agric. Ecosyst. Environ. 2017;247:149–156. doi: 10.1016/j.agee.2017.06.041. [DOI] [Google Scholar]
- 9.Torres-Cortés G., Bonneau S., Bouchez O., Genthon C., Briand M., Jacques M.-A., Barret M. Functional Microbial Features Driving Community Assembly During Seed Germination and Emergence. Front. Plant Sci. 2018;9:902. doi: 10.3389/fpls.2018.00902. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Knief C., Delmotte N., Chaffron S., Stark M., Innerebner G., Wassmann R., von Mering C., Vorholt J.A. Metaproteogenomic analysis of microbial communities in the phyllosphere and rhizosphere of rice. ISME J. 2012;6:1378–1390. doi: 10.1038/ismej.2011.192. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Levy A., Salas Gonzalez I., Mittelviefhaus M., Clingenpeel S., Herrera Paredes S., Miao J., Wang K., Devescovi G., Stillman K., Monteiro F., et al. Genomic features of bacterial adaptation to plants. Nat. Genet. 2017;50:138–150. doi: 10.1038/s41588-017-0012-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Anckaert A., Argüelles Arias A., Hoff G., Calonne-Salmon M., Declerck S., Ongena M. In: Microbial bioprotectants for plant disease management. Köhl J., Ravensberg W., editors. Burleigh Dodds Science Publishing); 2021. The use of Bacillus spp. as bacterial biocontrol agents to control plant diseases; pp. 1–54. [Google Scholar]
- 13.Miljaković D., Marinković J., Balešević-Tubić S. The Significance of Bacillus spp. in Disease Suppression and Growth Promotion of Field and Vegetable Crops. Microorganisms. 2020;8:1037. doi: 10.3390/microorganisms8071037. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Fan B., Wang C., Song X., Ding X., Wu L., Wu H., Gao X., Borriss R. Bacillus velezensis FZB42 in 2018: The Gram-Positive Model Strain for Plant Growth Promotion and Biocontrol. Front. Microbiol. 2018;9:2491. doi: 10.3389/fmicb.2018.02491. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Rabbee M.F., Ali M.S., Choi J., Hwang B.S., Jeong S.C., Baek K.H. Bacillus velezensis: A Valuable Member of Bioactive Molecules within Plant Microbiomes. Molecules. 2019;24:1046. doi: 10.3390/molecules24061046. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Ye M., Tang X., Yang R., Zhang H., Li F., Tao F., Li F., Wang Z. Characteristics and Application of a Novel Species of Bacillus : Bacillus velezensis. ACS Chem. Biol. 2018;13:500–505. doi: 10.1021/acschembio.7b00874. [DOI] [PubMed] [Google Scholar]
- 17.Pandin C., Le Coq D., Deschamps J., Védie R., Rousseau T., Aymerich S., Briandet R. Complete genome sequence of Bacillus velezensis QST713: A biocontrol agent that protects Agaricus bisporus crops against the green mould disease. J. Biotechnol. 2018;278:10–19. doi: 10.1016/j.jbiotec.2018.04.014. [DOI] [PubMed] [Google Scholar]
- 18.Köhl J., Kolnaar R., Ravensberg W.J. Mode of Action of Microbial Biological Control Agents Against Plant Diseases: Relevance Beyond Efficacy. Front. Plant Sci. 2019;10:845. doi: 10.3389/fpls.2019.00845. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Andrić S., Meyer T., Ongena M. Bacillus Responses to Plant-Associated Fungal and Bacterial Communities. Front. Microbiol. 2020;11:1350. doi: 10.3389/fmicb.2020.01350. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Harwood C.R., Mouillon J.-M., Pohl S., Arnau J. Secondary metabolite production and the safety of industrially important members of the Bacillus subtilis group. FEMS Microbiol. Rev. 2018;42:721–738. doi: 10.1093/femsre/fuy028. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Andrić S., Rigolet A., Argüelles Arias A., Steels S., Hoff G., Balleux G., Ongena L., Höfte M., Meyer T., Ongena M. Plant-associated Bacillus mobilizes its secondary metabolites upon perception of the siderophore pyochelin produced by a Pseudomonas competitor. ISME J. 2023;17:263–275. doi: 10.1038/s41396-022-01337-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.López D., Fischbach M.A., Chu F., Losick R., Kolter R. Structurally diverse natural products that cause potassium leakage trigger multicellularity in Bacillus subtilis. Proc. Natl. Acad. Sci. USA. 2009;106:280–285. doi: 10.1073/pnas.0810940106. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Townsley L., Shank E.A. Natural-Product Antibiotics: Cues for Modulating Bacterial Biofilm Formation. Trends Microbiol. 2017;25:1016–1026. doi: 10.1016/j.tim.2017.06.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Bleich R., Watrous J.D., Dorrestein P.C., Bowers A.A., Shank E.A. Thiopeptide antibiotics stimulate biofilm formation in Bacillus subtilis. Proc. Natl. Acad. Sci. USA. 2015;112:3086–3091. doi: 10.1073/pnas.1414272112. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Arnaouteli S., Bamford N.C., Stanley-Wall N.R., Kovács Á.T. Bacillus subtilis biofilm formation and social interactions. Nat. Rev. Microbiol. 2021;19:600–614. doi: 10.1038/s41579-021-00540-9. [DOI] [PubMed] [Google Scholar]
- 26.Feng H., Zhang N., Du W., Zhang H., Liu Y., Fu R., Shao J., Zhang G., Shen Q., Zhang R. Identification of chemotaxis compounds in root exudates and their sensing chemoreceptors in plant-growth-promoting rhizobacteria Bacillus amyloliquefaciens SQR9. Mol. Plant Microbe Interact. 2018;31:995–1005. doi: 10.1094/MPMI-01-18-0003-R. [DOI] [PubMed] [Google Scholar]
- 27.Liu Y., Feng H., Fu R., Zhang N., Du W., Shen Q., Zhang R. Induced root-secreted d-galactose functions as a chemoattractant and enhances the biofilm formation of Bacillus velezensis SQR9 in an McpA-dependent manner. Appl. Microbiol. Biotechnol. 2020;104:785–797. doi: 10.1007/S00253-019-10265-8. [DOI] [PubMed] [Google Scholar]
- 28.Yuan J., Zhang N., Huang Q., Raza W., Li R., Vivanco J.M., Shen Q. Organic acids from root exudates of banana help root colonization of PGPR strain Bacillus amyloliquefaciens NJN-6. Sci. Rep. 2015;5:13438. doi: 10.1038/srep13438. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Zhang N., Wang D., Liu Y., Li S., Shen Q., Zhang R. Effects of different plant root exudates and their organic acid components on chemotaxis, biofilm formation and colonization by beneficial rhizosphere-associated bacterial strains. Plant Soil. 2014;374:689–700. doi: 10.1007/S11104-013-1915-6. [DOI] [Google Scholar]
- 30.Allard-Massicotte R., Tessier L., Lécuyer F., Lakshmanan V., Lucier J.-F., Garneau D., Caudwell L., Vlamakis H., Bais H.P., Beauregard P.B. Bacillus subtilis Early Colonization of Arabidopsis thaliana Roots Involves Multiple Chemotaxis Receptors. mBio. 2016;7:e01664. doi: 10.1128/mBio.01664-16. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Nihorimbere V., Cawoy H., Seyer A., Brunelle A., Thonart P., Ongena M. Impact of rhizosphere factors on cyclic lipopeptide signature from the plant beneficial strain Bacillus amyloliquefaciens S499. FEMS Microbiol. Ecol. 2012;79:176–191. doi: 10.1111/j.1574-6941.2011.01208.x. [DOI] [PubMed] [Google Scholar]
- 32.Hoff G., Arguelles Arias A., Boubsi F., Pršić J., Meyer T., Ibrahim H.M.M., Steels S., Luzuriaga P., Legras A., Franzil L., et al. Surfactin Stimulated by Pectin Molecular Patterns and Root Exudates Acts as a Key Driver of the Bacillus-Plant Mutualistic Interaction. mBio. 2021;12 doi: 10.1128/mBio.01774-21. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Fan B., Carvalhais L.C., Becker A., Fedoseyenko D., von Wirén N., Borriss R. Transcriptomic profiling of Bacillus amyloliquefaciens FZB42 in response to maize root exudates. BMC Microbiol. 2012;12:116. doi: 10.1186/1471-2180-12-116. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Zhang N., Yang D., Wang D., Miao Y., Shao J., Zhou X., Xu Z., Li Q., Feng H., Li S., et al. Whole transcriptomic analysis of the plant-beneficial rhizobacterium Bacillus amyloliquefaciens SQR9 during enhanced biofilm formation regulated by maize root exudates. BMC Genom. 2015;16:685. doi: 10.1186/s12864-015-1825-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Debois D., Fernandez O., Franzil L., Jourdan E., de Brogniez A., Willems L., Clément C., Dorey S., De Pauw E., Ongena M. Plant polysaccharides initiate underground crosstalk with bacilli by inducing synthesis of the immunogenic lipopeptide surfactin. Environ. Microbiol. Rep. 2015;7:570–582. doi: 10.1111/1758-2229.12286. [DOI] [PubMed] [Google Scholar]
- 36.Wu K., Fang Z., Guo R., Pan B., Shi W., Yuan S., Guan H., Gong M., Shen B., Shen Q. Pectin Enhances Bio-Control Efficacy by Inducing Colonization and Secretion of Secondary Metabolites by Bacillus amyloliquefaciens SQY 162 in the Rhizosphere of Tobacco. PLoS One. 2015;10 doi: 10.1371/journal.pone.0127418. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Beauregard P.B., Chai Y., Vlamakis H., Losick R., Kolter R. Bacillus subtilis biofilm induction by plant polysaccharides. Proc. Natl. Acad. Sci. USA. 2013;110:E1621–E1630. doi: 10.1073/pnas.1218984110. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Li M., Shu C., Ke W., Li X., Yu Y., Guan X., Huang T. Plant Polysaccharides Modulate Biofilm Formation and Insecticidal Activities of Bacillus thuringiensis Strains. Front. Microbiol. 2021;12 doi: 10.3389/fmicb.2021.676146. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Habib C., Yu Y., Gozzi K., Ching C., Shemesh M., Chai Y. Characterization of the regulation of a plant polysaccharide utilization operon and its role in biofilm formation in Bacillus subtilis. PLoS One. 2017;12 doi: 10.1371/journal.pone.0179761. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Du J., Anderson C.T., Xiao C. Dynamics of pectic homogalacturonan in cellular morphogenesis and adhesion, wall integrity sensing and plant development. Nat. Plants. 2022;8:332–340. doi: 10.1038/s41477-022-01120-2. [DOI] [PubMed] [Google Scholar]
- 41.Andrić S., Meyer T., Rigolet A., Prigent-Combaret C., Höfte M., Balleux G., Steels S., Hoff G., De Mot R., McCann A., et al. Lipopeptide Interplay Mediates Molecular Interactions between Soil Bacilli and Pseudomonads. Microbiol. Spectr. 2021;9 doi: 10.1128/spectrum.02038-21. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Bonnin E., Pelloux J. In: Pectin: Technological and Physiological Properties. Kontogiorgos V., editor. Springer International Publishing); 2020. Pectin Degrading Enzymes; pp. 37–60. [Google Scholar]
- 43.Fuxreiter M., Tompa P., Simon I. Local structural disorder imparts plasticity on linear motifs. Bioinformatics. 2007;23:950–956. doi: 10.1093/bioinformatics/btm035. [DOI] [PubMed] [Google Scholar]
- 44.Berlow R.B., Dyson H.J., Wright P.E. Functional advantages of dynamic protein disorder. FEBS Lett. 2015;589:2433–2440. doi: 10.1016/j.febslet.2015.06.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Kalamara M., Spacapan M., Mandic-Mulec I., Stanley-Wall N.R. Social behaviours by Bacillus subtilis : quorum sensing, kin discrimination and beyond. Mol. Microbiol. 2018;110:863–878. doi: 10.1111/mmi.14127. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Xiong Q., Liu D., Zhang H., Dong X., Zhang G., Liu Y., Zhang R. Quorum sensing signal autoinducer-2 promotes root colonization of Bacillus velezensis SQR9 by affecting biofilm formation and motility. Appl. Microbiol. Biotechnol. 2020;104:7177–7185. doi: 10.1007/s00253-020-10713-w. [DOI] [PubMed] [Google Scholar]
- 47.Kanehisa M., Furumichi M., Tanabe M., Sato Y., Morishima K. KEGG: new perspectives on genomes, pathways, diseases and drugs. Nucleic Acids Res. 2017;45:D353–D361. doi: 10.1093/nar/gkw1092. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Massalha H., Korenblum E., Malitsky S., Shapiro O.H., Aharoni A. Live imaging of root–bacteria interactions in a microfluidics setup. Proc. Natl. Acad. Sci. USA. 2017;114:4549–4554. doi: 10.1073/pnas.1618584114. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Dong L., Guo Q., Wang P., Zhang X., Su Z., Zhao W., Lu X., Li S., Ma P. Qualitative and Quantitative Analyses of the Colonization Characteristics of Bacillus subtilis Strain NCD-2 on Cotton Root. Curr. Microbiol. 2020;77:1600–1609. doi: 10.1007/s00284-020-01971-y. [DOI] [PubMed] [Google Scholar]
- 50.Nordgaard M., Mortensen R.M.R., Kirk N.K., Gallegos-Monterrosa R., Kovács Á.T. Deletion of Rap-Phr systems in Bacillus subtilis influences in vitro biofilm formation and plant root colonization. Microbiologyopen. 2021;10:e1212. doi: 10.1002/mbo3.1212. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Al-Ali A., Deravel J., Krier F., Béchet M., Ongena M., Jacques P. Biofilm formation is determinant in tomato rhizosphere colonization by Bacillus velezensis FZB42. Environ. Sci. Pollut. Res. Int. 2018;25:29910–29920. doi: 10.1007/s11356-017-0469-1. [DOI] [PubMed] [Google Scholar]
- 52.Guttenplan S.B., Blair K.M., Kearns D.B. The EpsE Flagellar Clutch Is Bifunctional and Synergizes with EPS Biosynthesis to Promote Bacillus subtilis Biofilm Formation. PLoS Genet. 2010;6 doi: 10.1371/journal.pgen.1001243. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Blair K.M., Turner L., Winkelman J.T., Berg H.C., Kearns D.B. A Molecular Clutch Disables Flagella in the Bacillus subtilis Biofilm. Science. 2008;320:1636–1638. doi: 10.1126/science.1157877. [DOI] [PubMed] [Google Scholar]
- 54.Zeriouh H., de Vicente A., Pérez-García A., Romero D. Surfactin triggers biofilm formation of Bacillus subtilis in melon phylloplane and contributes to the biocontrol activity. Environ. Microbiol. 2014;16:2196–2211. doi: 10.1111/1462-2920.12271. [DOI] [PubMed] [Google Scholar]
- 55.Zhang Y., Qi J., Wang Y., Wen J., Zhao X., Qi G. Comparative study of the role of surfactin-triggered signalling in biofilm formation among different Bacillus species. Microbiol. Res. 2022;254 doi: 10.1016/j.micres.2021.126920. [DOI] [PubMed] [Google Scholar]
- 56.Peng N., Cai P., Mortimer M., Wu Y., Gao C., Huang Q. The exopolysaccharide–eDNA interaction modulates 3D architecture of Bacillus subtilis biofilm. BMC Microbiol. 2020;20:115. doi: 10.1186/s12866-020-01789-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Zafra O., Lamprecht-Grandío M., de Figueras C.G., González-Pastor J.E. Extracellular DNA Release by Undomesticated Bacillus subtilis Is Regulated by Early Competence. PLoS One. 2012;7 doi: 10.1371/journal.pone.0048716. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Chan S.Y., Choo W.S., Young D.J., Loh X.J. Pectin as a rheology modifier: Origin, structure, commercial production and rheology. Carbohydr. Polym. 2017;161:118–139. doi: 10.1016/j.carbpol.2016.12.033. [DOI] [PubMed] [Google Scholar]
- 59.Serra D.O., Richter A.M., Hengge R. Cellulose as an Architectural Element in Spatially Structured Escherichia coli Biofilms. J. Bacteriol. 2013;195:5540–5554. doi: 10.1128/JB.00946-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Qin Y., Angelini L.L., Chai Y. Bacillus subtilis Cell Differentiation, Biofilm Formation and Environmental Prevalence. Microorganisms. 2022;10:1108. doi: 10.3390/microorganisms10061108. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Fujita M., Losick R. Evidence that entry into sporulation in Bacillus subtilis is governed by a gradual increase in the level and activity of the master regulator Spo0A. Genes Dev. 2005;19:2236–2244. doi: 10.1101/gad.1335705. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Molle V., Fujita M., Jensen S.T., Eichenberger P., González-Pastor J.E., Liu J.S., Losick R. The Spo0A regulon of Bacillus subtilis. Mol. Microbiol. 2003;50:1683–1701. doi: 10.1046/j.1365-2958.2003.03818.x. [DOI] [PubMed] [Google Scholar]
- 63.Banse A.V., Chastanet A., Rahn-Lee L., Hobbs E.C., Losick R. Parallel pathways of repression and antirepression governing the transition to stationary phase in Bacillus subtilis. Proc. Natl. Acad. Sci. USA. 2008;105:15547–15552. doi: 10.1073/pnas.0805203105. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Aguilar C., Vlamakis H., Guzman A., Losick R., Kolter R. KinD Is a Checkpoint Protein Linking Spore Formation to Extracellular-Matrix Production in Bacillus subtilis Biofilms. mBio. 2010;1 doi: 10.1128/mBio.00035-10. e00035-10. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Borriss R., Wu H., Gao X. In: Secondary Metabolites of Plant Growth Promoting Rhizomicroorganisms. Singh H., Keswani C., Reddy M., Sansinenea E., García-Estrada C., editors. Springer Singapore; 2019. Secondary Metabolites of the Plant Growth Promoting Model Rhizobacterium Bacillus velezensis FZB42 Are Involved in Direct Suppression of Plant Pathogens and in Stimulation of Plant-Induced Systemic Resistance; pp. 147–168. [Google Scholar]
- 66.Pluskal T., Castillo S., Villar-Briones A., Orešič M. MZmine 2: Modular framework for processing, visualizing, and analyzing mass spectrometry-based molecular profile data. BMC Bioinf. 2010;11:395. doi: 10.1186/1471-2105-11-395. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Ongena M., Jacques P. Bacillus lipopeptides: versatile weapons for plant disease biocontrol. Trends Microbiol. 2008;16:115–125. doi: 10.1016/j.tim.2007.12.009. [DOI] [PubMed] [Google Scholar]
- 68.Sun H., Jiang S., Jiang C., Wu C., Gao M., Wang Q. A review of root exudates and rhizosphere microbiome for crop production. Environ. Sci. Pollut. Res. Int. 2021;28:54497–54510. doi: 10.1007/s11356-021-15838-7. [DOI] [PubMed] [Google Scholar]
- 69.Sasse J., Martinoia E., Northen T. Feed Your Friends: Do Plant Exudates Shape the Root Microbiome? Trends Plant Sci. 2018;23:25–41. doi: 10.1016/j.tplants.2017.09.003. [DOI] [PubMed] [Google Scholar]
- 70.Zhang L., van Kan J.A.L. In: In A Comprehensive Treatise on Fungi as Experimental Systems for Basic and Applied Research. Kempken F., ed, editors. Springer Berlin; 2013. Pectin as a Barrier and Nutrient Source for Fungal Plant Pathogens; pp. 361–365. [Google Scholar]
- 71.Schmitz K., Protzko R., Zhang L., Benz J.P. Spotlight on fungal pectin utilization—from phytopathogenicity to molecular recognition and industrial applications. Appl. Microbiol. Biotechnol. 2019;103:2507–2524. doi: 10.1007/s00253-019-09622-4. [DOI] [PubMed] [Google Scholar]
- 72.Kubicek C.P., Starr T.L., Glass N.L. Plant Cell Wall–Degrading Enzymes and Their Secretion in Plant-Pathogenic Fungi. Annu. Rev. Phytopathol. 2014;52:427–451. doi: 10.1146/annurev-phyto-102313-045831. [DOI] [PubMed] [Google Scholar]
- 73.Lyu X., Shen C., Fu Y., Xie J., Jiang D., Li G., Cheng J. Comparative genomic and transcriptional analyses of the carbohydrate-active enzymes and secretomes of phytopathogenic fungi reveal their significant roles during infection and development. Sci. Rep. 2015;5 doi: 10.1038/srep15565. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Synek L., Rawat A., L’Haridon F., Weisskopf L., Saad M.M., Hirt H. Multiple strategies of plant colonization by beneficial endophytic Enterobacter sp. SA187. Environ. Microbiol. 2021;23:6223–6240. doi: 10.1111/1462-2920.15747. [DOI] [PubMed] [Google Scholar]
- 75.Wheatley R.M., Poole P.S. Mechanisms of bacterial attachment to roots. FEMS Microbiol. Rev. 2018;42:448–461. doi: 10.1093/femsre/fuy014. [DOI] [PubMed] [Google Scholar]
- 76.Tian T., Sun B., Shi H., Gao T., He Y., Li Y., Liu Y., Li X., Zhang L., Li S., et al. Sucrose triggers a novel signaling cascade promoting Bacillus subtilis rhizosphere colonization. ISME J. 2021;15:2723–2737. doi: 10.1038/s41396-021-00966-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Guttenplan S.B., Kearns D.B. Regulation of flagellar motility during biofilm formation. FEMS Microbiol. Rev. 2013;37:849–871. doi: 10.1111/1574-6976.12018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Vlamakis H., Chai Y., Beauregard P., Losick R., Kolter R. Sticking together: building a biofilm the Bacillus subtilis way. Nat. Rev. Microbiol. 2013;11:157–168. doi: 10.1038/nrmicro2960. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Arnaouteli S., MacPhee C.E., Stanley-Wall N.R. Just in case it rains: building a hydrophobic biofilm the Bacillus subtilis way. Curr. Opin. Microbiol. 2016;34:7–12. doi: 10.1016/j.mib.2016.07.012. [DOI] [PubMed] [Google Scholar]
- 80.Molina-Santiago C., Pearson J.R., Navarro Y., Berlanga-Clavero M.V., Caraballo-Rodriguez A.M., Petras D., García-Martín M.L., Lamon G., Haberstein B., Cazorla F.M., et al. The extracellular matrix protects Bacillus subtilis colonies from Pseudomonas invasion and modulates plant co-colonization. Nat. Commun. 2019;10:1919. doi: 10.1038/s41467-019-09944-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.Nicholson W.L., Fajardo-Cavazos P., Rebeil R., Slieman T.A., Riesenman P.J., Law J.F., Xue Y. Bacterial endospores and their significance in stress resistance. Antonie Leeuwenhoek. 2002;81:27–32. doi: 10.1023/a:1020561122764. [DOI] [PubMed] [Google Scholar]
- 82.Dittmann C., Han H.-M., Grabenbauer M., Laue M. Dormant Bacillus spores protect their DNA in crystalline nucleoids against environmental stress. J. Struct. Biol. 2015;191:156–164. doi: 10.1016/j.jsb.2015.06.019. [DOI] [PubMed] [Google Scholar]
- 83.Setlow P. I will survive: DNA protection in bacterial spores. Trends Microbiol. 2007;15:172–180. doi: 10.1016/j.tim.2007.02.004. [DOI] [PubMed] [Google Scholar]
- 84.Lopez D., Vlamakis H., Kolter R. Generation of multiple cell types in Bacillus subtilis. FEMS Microbiol. Rev. 2009;33:152–163. doi: 10.1111/j.1574-6976.2008.00148.x. [DOI] [PubMed] [Google Scholar]
- 85.Veening J.-W., Kuipers O.P., Brul S., Hellingwerf K.J., Kort R. Effects of Phosphorelay Perturbations on Architecture, Sporulation, and Spore Resistance in Biofilms of Bacillus subtilis. J. Bacteriol. 2006;188:3099–3109. doi: 10.1128/JB.188.8.3099-3109.2006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86.Hamon M.A., Lazazzera B.A. The sporulation transcription factor Spo0A is required for biofilm development in Bacillus subtilis. Mol. Microbiol. 2001;42:1199–1209. doi: 10.1046/j.1365-2958.2001.02709.x. [DOI] [PubMed] [Google Scholar]
- 87.Ellermeier C.D., Hobbs E.C., Gonzalez-Pastor J.E., Losick R. A Three-Protein Signaling Pathway Governing Immunity to a Bacterial Cannibalism Toxin. Cell. 2006;124:549–559. doi: 10.1016/j.cell.2005.11.041. [DOI] [PubMed] [Google Scholar]
- 88.González-Pastor J.E., Hobbs E.C., Losick R. Cannibalism by Sporulating Bacteria. Science. 2003;301:510–513. doi: 10.1126/science.1086462. [DOI] [PubMed] [Google Scholar]
- 89.Höfler C., Heckmann J., Fritsch A., Popp P., Gebhard S., Fritz G., Mascher T. Cannibalism stress response in Bacillus subtilis. Microbiology. 2016;162:164–176. doi: 10.1099/mic.0.000176. [DOI] [PubMed] [Google Scholar]
- 90.González-Pastor J.E. Cannibalism: a social behavior in sporulating Bacillus subtilis. FEMS Microbiol. Rev. 2011;35:415–424. doi: 10.1111/j.1574-6976.2010.00253.x. [DOI] [PubMed] [Google Scholar]
- 91.Pršić J., Ongena M. Elicitors of Plant Immunity Triggered by Beneficial Bacteria. Front. Plant Sci. 2020;11 doi: 10.3389/fpls.2020.594530. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92.Wu G., Liu Y., Xu Y., Zhang G., Shen Q., Zhang R. Exploring Elicitors of the Beneficial Rhizobacterium Bacillus amyloliquefaciens SQR9 to Induce Plant Systemic Resistance and Their Interactions With Plant Signaling Pathways. Mol. Plant Microbe Interact. 2018;31:560–567. doi: 10.1094/MPMI-11-17-0273-R. [DOI] [PubMed] [Google Scholar]
- 93.Han Q., Wu F., Wang X., Qi H., Shi L., Ren A., Liu Q., Zhao M., Tang C. The bacterial lipopeptide iturins induce Verticillium dahliae cell death by affecting fungal signalling pathways and mediate plant defence responses involved in pathogen-associated molecular pattern-triggered immunity. Environ. Microbiol. 2015;17:1166–1188. doi: 10.1111/1462-2920.12538. [DOI] [PubMed] [Google Scholar]
- 94.Ongena M., Jourdan E., Adam A., Paquot M., Brans A., Joris B., Arpigny J.L., Thonart P. Surfactin and fengycin lipopeptides of Bacillus subtilis as elicitors of induced systemic resistance in plants. Environ. Microbiol. 2007;9:1084–1090. doi: 10.1111/J.1462-2920.2006.01202.X. [DOI] [PubMed] [Google Scholar]
- 95.Li Y., Héloir M.C., Zhang X., Geissler M., Trouvelot S., Jacquens L., Henkel M., Su X., Fang X., Wang Q., Adrian M. Surfactin and fengycin contribute to the protection of a Bacillus subtilis strain against grape downy mildew by both direct effect and defence stimulation. Mol. Plant Pathol. 2019;20:1037–1050. doi: 10.1111/mpp.12809. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 96.Chen X.H., Scholz R., Borriss M., Junge H., Mögel G., Kunz S., Borriss R. Difficidin and bacilysin produced by plant-associated Bacillus amyloliquefaciens are efficient in controlling fire blight disease. J. Biotechnol. 2009;140:38–44. doi: 10.1016/j.jbiotec.2008.10.015. [DOI] [PubMed] [Google Scholar]
- 97.Wu L., Wu H., Chen L., Yu X., Borriss R., Gao X. Difficidin and bacilysin from Bacillus amyloliquefaciens FZB42 have antibacterial activity against Xanthomonas oryzae rice pathogens. Sci. Rep. 2015;5 doi: 10.1038/srep12975. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 98.Müller S., Strack S.N., Hoefler B.C., Straight P.D., Kearns D.B., Kirby J.R. Bacillaene and Sporulation Protect Bacillus subtilis from Predation by Myxococcus xanthus. Appl. Environ. Microbiol. 2014;80:5603–5610. doi: 10.1128/AEM.01621-14. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 99.Im S.M., Yu N.H., Joen H.W., Kim S.O., Park H.W., Park A.R., Kim J.-C. Biological control of tomato bacterial wilt by oxydifficidin and difficidin-producing Bacillus methylotrophicus DR-08. Pestic. Biochem. Physiol. 2020;163:130–137. doi: 10.1016/j.pestbp.2019.11.007. [DOI] [PubMed] [Google Scholar]
- 100.Barger S.R., Hoefler B.C., Cubillos-Ruiz A., Russell W.K., Russell D.H., Straight P.D. Imaging secondary metabolism of Streptomyces sp. Mg1 during cellular lysis and colony degradation of competing Bacillus subtilis. Antonie Leeuwenhoek. 2012;102:435–445. doi: 10.1007/s10482-012-9769-0. [DOI] [PubMed] [Google Scholar]
- 101.Konishi H., Hio M., Kobayashi M., Takase R., Hashimoto W. Bacterial chemotaxis towards polysaccharide pectin by pectin-binding protein. Sci. Rep. 2020;10:3977. doi: 10.1038/s41598-020-60274-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 102.Taylor B.L., Zhulin I.B. PAS Domains: Internal Sensors of Oxygen, Redox Potential, and Light. Microbiol. Mol. Biol. Rev. 1999;63:479–506. doi: 10.1128/MMBR.63.2.479-506.1999. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 103.Higgins D., Dworkin J. Recent progress in Bacillus subtilis sporulation. FEMS Microbiol. Rev. 2012;36:131–148. doi: 10.1111/j.1574-6976.2011.00310.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 104.Cantarel B.L., Coutinho P.M., Rancurel C., Bernard T., Lombard V., Henrissat B. The Carbohydrate-Active EnZymes database (CAZy): an expert resource for Glycogenomics. Nucleic Acids Res. 2009;37:D233–D238. doi: 10.1093/nar/gkn663. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 105.Bryksin A.V., Matsumura I. Overlap extension PCR cloning: a simple and reliable way to create recombinant plasmids. Biotechniques. 2010;48:463–465. doi: 10.2144/000113418. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 106.Jarmer H., Berka R., Knudsen S., Saxild H.H. Transcriptome analysis documents induced competence of Bacillus subtilis during nitrogen limiting conditions. FEMS Microbiol. Lett. 2002;206:197–200. doi: 10.1016/S0378-1097(01)00525-0. [DOI] [PubMed] [Google Scholar]
- 107.Tamura K., Stecher G., Kumar S. MEGA11: Molecular Evolutionary Genetics Analysis Version 11. Mol. Biol. Evol. 2021;38:3022–3027. doi: 10.1093/molbev/msab120. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 108.Collmer A., Ried J.L., Mount M.S. Assay methods for pectic enzymes. Methods Enzymol. 1988;161:329–335. doi: 10.1016/0076-6879(88)61037-8. [DOI] [Google Scholar]
- 109.Carpita N.C. Cell Wall Development in Maize Coleoptiles. Plant Physiol. 1984;76:205–212. doi: 10.1104/pp.76.1.205. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 110.Silva G.B., Ionashiro M., Carrara T.B., Crivellari A.C., Tiné M.A.S., Prado J., Carpita N.C., Buckeridge M.S. Cell wall polysaccharides from fern leaves: Evidence for a mannan-rich Type III cell wall in Adiantum raddianum. Phytochemistry. 2011;72:2352–2360. doi: 10.1016/j.phytochem.2011.08.020. [DOI] [PubMed] [Google Scholar]
- 111.Pfaffl M.W. A new mathematical model for relative quantification in real-time RT-PCR. Nucleic Acids Res. 2001;29:45e. doi: 10.1093/nar/29.9.e45. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 112.Voxeur A., Habrylo O., Guénin S., Miart F., Soulié M.C., Rihouey C., Pau-Roblot C., Domon J.-M., Gutierrez L., Pelloux J., et al. Oligogalacturonide production upon Arabidopsis thaliana – Botrytis cinerea interaction. Proc. Natl. Acad. Sci. USA. 2019;116:19743–19752. doi: 10.1073/pnas.1900317116. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 113.Bolger A.M., Lohse M., Usadel B. Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics. 2014;30:2114–2120. doi: 10.1093/bioinformatics/btu170. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 114.Li H., Durbin R. Fast and accurate short read alignment with Burrows–Wheeler transform. Bioinformatics. 2009;25:1754–1760. doi: 10.1093/bioinformatics/btp324. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 115.Anders S., Pyl P.T., Huber W. HTSeq—a Python framework to work with high-throughput sequencing data. Bioinformatics. 2015;31:166–169. doi: 10.1093/bioinformatics/btu638. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 116.Trapnell C., Williams B.A., Pertea G., Mortazavi A., Kwan G., van Baren M.J., Salzberg S.L., Wold B.J., Pachter L. Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation. Nat. Biotechnol. 2010;28:511–515. doi: 10.1038/nbt.1621. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 117.Love M.I., Huber W., Anders S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 2014;15:550. doi: 10.1186/s13059-014-0550-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
-
•
Data: The RNA-seq data sets (generated by Hoff et al.32) exploited for this study are deposited at https://www.ebi.ac.uk/ena/ under the project reference PRJEB39762.
-
•
Code: This paper does not report original code.
-
•
Any other item: Any additional information regarding the data reported in this study is available from the lead contact upon request.





