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Article

Environmentally Acquired Bacillus and Their Role in C. difficile Colonization Resistance

1
Department of Biological Sciences, Royal Holloway University of London, Egham TW20 0EX, UK
2
SporeGen Ltd., London Bioscience Innovation Centre, 2 Royal College Street, London NW1 0NH, UK
3
Laboratoire d’Imagerie Moléculaire et Nano-Bio-Technologie, UMR-CBMN CNRS-Université de Bordeaux-IPB, 33607 Pessac, France
4
School of Life Sciences, University of Lincoln, Lincoln LN6 7TS, UK
5
Institute for Animal Health, Freie University of Berlin, Berlin 14195, Germany
*
Authors to whom correspondence should be addressed.
Biomedicines 2022, 10(5), 930; https://doi.org/10.3390/biomedicines10050930
Submission received: 4 April 2022 / Revised: 14 April 2022 / Accepted: 18 April 2022 / Published: 19 April 2022
(This article belongs to the Topic Infectious Diseases)

Abstract

:
Clostridioides difficile is an environmentally acquired, anaerobic, spore-forming bacterium which ordinarily causes disease following antibiotic-mediated dysbiosis of the intestinal microbiota. Although much is understood regarding the life cycle of C. difficile, the fate of C. difficile spores upon ingestion remains unclear, and the underlying factors that predispose an individual to colonization and subsequent development of C. difficile infection (CDI) are not fully understood. Here, we show that Bacillus, a ubiquitous and environmentally acquired, spore-forming bacterium is associated with colonization resistance to C. difficile. Using animal models, we first provide evidence that animals housed under conditions that mimic reduced environmental exposure have an increased susceptibility to CDI, correlating with a loss in Bacillus. Lipopeptide micelles (~10 nm) produced by some Bacilli isolated from the gastro-intestinal (GI)-tract and shown to have potent inhibitory activity to C. difficile have recently been reported. We show here that these micelles, that we refer to as heterogenous lipopeptide lytic micelles (HELMs), act synergistically with components present in the small intestine to augment inhibitory activity against C. difficile. Finally, we show that provision of HELM-producing Bacillus to microbiota-depleted animals suppresses C. difficile colonization thereby demonstrating the significant role played by Bacillus in colonization resistance. In the wider context, our study further demonstrates the importance of environmental microbes on susceptibility to pathogen colonization.

1. Introduction

Despite substantial progress in our understanding of Clostridioides difficile infection (CDI) [1], several questions remain. Notably, why an increase in cases has arisen over the past 30 years [2], how C. difficile is able to circulate amongst the healthy population, including infants [3], and what factors are involved in preventing C. difficile colonization. With regards to the latter question, advances in treatment, such as fecal microbiota transplantation (FMT), have shown that soluble compounds within fecal material are able to inhibit C. difficile, suggesting an extracellular contribution to resistance [4,5]. In humans, C. difficile is acquired by the majority of infants during the first six months after birth [6,7]. After about one year the intestinal population of C. difficile begins to decline and by the end of the second is mostly absent [8]. To account for this reduction, the acquisition of a mature, adult microbiota is thought to install a barrier to colonization [8]. However, it has been shown that the diversity of an infant’s microbiota often does not reach that of adults until the 4th year [9], suggesting that other more specific changes may be responsible for the decline in C. difficile. One significant change is the dietary acquisition of microbes critical for short chain fatty acid (SCFA) production and the formation of secondary bile acids [10], with members of the Clostridium genus being identified as important contributors with regards to the latter [11,12].
Animals, sharing close physiological relatedness to humans, exhibit a similar pattern of early C. difficile colonization with, in pigs for example, all (100%) animals being asymptomatically colonized within two days of birth [13]. However, unlike in humans, C. difficile persists for, at most, two months following birth [14,15]. The lifestyle of pigs and humans is clearly different regarding diet and nutrition, but also with regard to the environs to which piglets are immediately exposed, while for infants this is often delayed until at least one year of age. This raises the question: what impact and by which mechanisms can the acquisition of environmental microbes influence colonization resistance? The acquisition of bacteria from the environment, including aerobic spore formers, has been linked to a decreased presence of pathogens in the GI-tract; pigs housed in a natural outdoor environment show an increased prevalence of Firmicutes and a decreased abundance of pathogenic populations, while animals raised in more hygienic indoor environments exhibit the opposite trend [16]. Indeed, this was exemplified in a recent study demonstrating that the administration of Bacillus to pigs whose gut flora had been depleted by antibiotics cured them of diarrhea [17]. Incidentally, passive processes (hygiene, lifestyle and diet) together with the acquisition of environmental bacteria have all been implicated as factors impacting upon the human gut microbiota and the prevention of pathogen colonization [18].
The Bacilli form robust, gastric-resistant, endospores commonly found in soil, air and foods which can transiently proliferate in the mammalian GI-tract [19]. Bacilli are able to produce a large and diverse array of ribosomal and non-ribosomal antimicrobials [20] under a variety of environmental conditions. These structurally diverse antimicrobial compounds suppress the growth of competing bacteria and pathogens, and the production of these compounds have been shown to increase in the presence of competitors [20,21,22]. Bacillus-produced antimicrobial peptides have been shown to be inhibitory against numerous pathogens, including Clostridium perfingens, Escherichia coli, Listeria monocytogenes and Salmonella spp. [22]. The targets of these antimicrobials are typically microbes that have coevolved in a shared environmental niche with Bacillus. Contact between different coevolved bacterial species in new environs can elicit phenotypic changes or the modulated production of antimicrobial peptides [20]. Included amongst these antimicrobials are amphipathic lipopeptides which, at high concentrations, form micelles (~6–10 nm) able to entrap other antibiotics produced by the host bacterium [23]. These micellar antibiotics, which we refer to as HELMs (heterogenous lipopeptide lytic micelles), are able to associate with the surface of the cell or spore, further enhancing targeting and activity [23]. While many types of bacteria are found in the environment, the inherent robustness and ubiquity of spore formers, such as Bacillus, makes them ideally adapted for acquisition by an animal host. Many studies have relied upon 16S rDNA metagenomic sequencing to identify changes in the composition of intestinal microbiota found in the host [24,25]. These methods have proven useful in understanding gut dysbiosis, however, they are unable to resolve between species. In the case of the endospore forming Firmicutes, under-detection and under-reporting have presented a recurrent issue in metagenomic datasets [26].
Indeed, in a recent study, environmentally acquired Bacillus were shown, using culture-based methodology, to play an integral role in colonization resistance to Staphylococcus aureus in the human GI-tract [27]. Interestingly, a correlation between the presence of B. subtilis and the absence of S. aureus was only found when using direct culture methods, with 16S rRNA metagenomic sequencing showing no association between the two species. Fermented foods, later found to be enriched with Bacillus spores, have been used medicinally for centuries [28], and yet a role for Bacillus in CDI has not previously been noted. Here, we report that the presence of Bacillus spp. is reduced following diminished host environmental exposure or the administration of antibiotics. Additionally, the increased presence of Bacillus spp. was associated with a decreased presence of C. difficile in the GI-tract. Bacillus spp. were found to produce potent antimicrobials which act upon C. difficile in vitro and in vivo, and the restoration of physiological levels of Bacillus to an antibiotic-depleted host-restored colonization resistance to C. difficile.

2. Materials and Methods

2.1. General Methods and Strains

General methods and media for work with Bacillus were as described [29]. The growth media used for Bacillus was either LB, BHIB (Brain Heart Infusion Broth) or DSM (Difco Sporulation Medium). For C. difficile, the culture was made anaerobically using a Don Whitley chamber using Brain heart infusion with (BHISS) or without (BHIS) sodium taurocholate (0.1% w/v) [30]. ChromID (BioMerieux) is a selective medium containing cefoxitin and cycloserine and used for C. difficile plate culture. Spores were prepared on SMC agar and further purified using centrifugation through a 20% (v/v) to 50% (v/v) Histodenz gradient (Sigma), as described [30]. The C. difficile laboratory reference strain CD630 (ribotype 012, tcdA+ tcdB+) was used for in vitro, ex vivo and in vivo studies. The aims and methodologies in this study are described schematically (Supplementary Figure S1).

2.2. Analysis of Bacillus and C. difficile Spores in Fecal Samples

For routine analysis of spores in fecal samples (e.g., from neonatal piglets, mice or hamsters), samples were homogenized in dH2O and heat-treated (65 °C for 45 min.) and dilutions plated on selective ChromID medium (C. difficile) or LB (Bacillus) with anaerobic and aerobic culture (37 °C, 48 h), respectively. Human-derived samples had been collected in previous work [31]. The identity of C. difficile colonies was confirmed by selecting three representative colonies and performing colony PCR targeting 16S rRNA using CD630 as a positive control [32]. The identity of representative Bacillus colonies was confirmed by analysis of the gyrA DNA sequence, as previously described [33,34].

2.3. Screening of Spore Formers in Fecal Samples with Activity Against C. difficile

Pooled fecal samples taken from mice or hamsters before and after (24 h) clindamycin treatment (i.g.; 30 mg/kg) were used to identify heat-resistant aerobic bacterial colonies. Colonies (minimum of 500) were re-streaked and overnight cultures (2 mL) made in LB broth. The cell-free supernatant was filter-sterilized (0.45 μm pore size) and assessed for inhibitory activity to CD630 using an in vitro microdilution assay [23]. Plates were set up as follows: 216 µL of BHIS growth medium was pipetted into the first row of a 96-well U-bottom microplate (Greiner Bio-One, Gloucestershire, UK) and followed by 120 µL into each subsequent row. Next, 24 µL of the supernatant to be tested was pipetted into the first row (1:10 dilution factor) and serially diluted in a 2-fold dilution series until the last row (1:1280 dilution factor) on the microplate. A media-only control was also applied into a single well of the first column and serially diluted. Subsequently, 12 µL of a 6 h CD630 culture was added to each well and the plate was incubated overnight at 37 °C. The following day, the plate was agitated on a rotary plate shaker (200 rpm, 2 min.) after which the OD600 was read using a microplate reader. Positive inhibitory activity was defined as an OD600 < 50% of the CD630 media-only control. For non-sterile samples, ‘CD supplement’ (Sigma-Aldrich) was added to the BHIS. Preliminary species assignment was made by analysis of the gyrA DNA sequence [33,34]. In all cases, active isolates were bacteria whose culture supernatants showed inhibition at a dilution of >1/10 in an in vitro microdilution assay.

2.4. Purification and Identification of Heterogenous Lipopeptide Lytic Micelles (HELMs) from Bacillus Bacterial Culture

Purification of HELMs from culture including ammonium sulphate (AmSO4) precipitation, size exclusion chromatography (SEC), RP-HPLC, dynamic light scattering (DLS) and matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF-MS) analyses have been described previously [22]. Briefly, HELMs were precipitated overnight at 4 °C in 20% (w/v) of AmSO4 from filter-sterilized, cell-free culture supernatant (0.45 µm). The resulting precipitate was resuspended in and dialyzed against sterile PBS, followed by fractionation using SEC with Superdex 200 resin and PBS as a running buffer. The active SEC fraction was further fractionated by RP-HPLC using a uBondaPack Phenyl 125 Å, 10 µm, 3.9 × 300 mm column and Waters 600 Multisolvent Delivery system. The compounds were separated using a linear gradient of 60% to 95% (v/v) methanol in 0.5% (v/v) acetic acid at a flow rate of 0.5 mL/min, absorbance was monitored at 220 nm. Individual fractions were concentrated using an EZ-2 Genevac centrifugal evaporator and identified using Bruker Autoflex III MALDI-TOF-MS. The active compounds were confirmed at each step of purification by testing against CD630 in a microdilution assay.

2.5. Synergy between RP-HPLC Separated Lipopeptides

The SEC ‘active’ sample was separated by RP-HPLC and identified by MALDI-TOF, as described [23]. To assess levels of activity and synergy between individual components, specific fractions were combined and then vacuum evaporated. Fractions were resuspended in dH2O and tested for activity against CD630 using the microdilution assay.

2.6. HELM Bacteriolysis of C. difficile in Culture

Experiments were conducted using mid-logarithmically growing cultures of CD630 (6 h), dividing the culture into four and adding 1:10 volume of a cell-free supernatant of Bv277 (HELM+) or srfAA- (HELM). The HELM+ (Bv277) SEC-fractionated ‘active’ fraction was used at a dilution factor of 1:100 (v/v) and PBS was used as a negative control. OD600 measurements were taken hourly. Aliquots were taken hourly, serially diluted in PBS and plated onto ChromID agar to enumerate the viable CFU.

2.7. DLS Analysis

The Bv277 supernatant was AmSO4 precipitated and then separated by SEC. The SEC fraction was vacuum evaporated and dry material was resuspended in sodium phosphate buffer (150 mM, pH 7.2) and cleared by centrifugation (17,000× g, 1 h). For analysis, 100 µL was transferred to a micro-cuvette, equilibrated at 25 °C and measured in triplicate using a Zetasizer Nano ZS (Malvern, Australia). The diameter was estimated from the Z-average size using Zetasizer software v7.11 (Malvern, Australia).

2.8. RP-HPLC and MALDI-TOF Identification of HELMs in Small Intestinal (SI) Samples

Groups of mice (n = 3) were treated as follows: (i) untreated mice, (ii) treated with 30 mg/kg clindamycin. A total of 24 h after the study commenced the SI contents were removed, homogenized in 1 mL dH2O, shaken vigorously for 1 h at RT and then transferred into 9 mL 100% MeOH for 3 h. The extracts were cleared by centrifugation at 12,000× g for 20 min and evaporated under vacuum. The dried material was resuspended 1:3 in PBS (w/v) according to the original weight. The MeOH-extracted SI contents in PBS were diluted with 100% MeOH to a final concentration of 20% and a final volume of 5 mL. The diluted extracts were centrifuged at 21,000× g for 10 min. and the supernatants were removed. Centrifugation was repeated twice under the same conditions to ensure removal of all particulates. All buffers used with Sep-Pak C18 cartridges (Waters) had acetic acid added to a final concentration of 0.1% (v/v). Sep-Pak C18 cartridges were activated with 10 mL of 100% MeOH before being equilibrated with 10 mL of 20% (v/v) MeOH. The supernatants were then applied to the column, the flow through collected and reapplied to the same cartridge again (twice more). The columns were then washed with 10 mL of 20% (v/v) MeOH and elution was performed with 2 mL of 100% MeOH. The eluted fractions were evaporated for 3 h using a vacuum evaporator. Dried samples were resuspended at a 10:1 (w/v) ratio in 60% (v/v) MeOH according to the original weight of the intestinal contents. Samples were then analyzed using RP-HPLC by injecting 50 μL (representing 0.5 g intestinal contents), and lipopeptides were detected using MALDI-TOF-MS, as described above and elsewhere [22].

2.9. Methanol (MeOH) Extraction of Intestinal Contents

Groups of mice (n = 3) were treated as follows: (i) untreated mice, (ii) treated with 30 mg/kg clindamycin, (iii) treated with 30 mg/kg clindamycin and after 20 h dosed orally with Bv277 (HELM+) or (iv) srfAA (HELM) spores (~2 × 109 CFU). A total of 27 h after the study commenced the SI contents were removed, homogenized in 1 mL dH2O, shaken vigorously for 1 h at RT and then transferred into 9 mL 100% MeOH for 3 h. The extracts were cleared by centrifugation at 12,000 g for 20 min. and evaporated under vacuum (Genevac EZ-2). The dried material was resuspended 1:3 in PBS (w/v) according to the original weight. Samples were kept at 4 °C overnight to allow micellar assembly of amphiphilic components before experimentation. These SI extracts were then used for ex vivo analysis of inhibitory activity against C. difficile and the SI synergy experiment.

2.10. Ex Vivo Analysis of Inhibitory Activity Against C. difficile

The MeOH-extracted SI contents in PBS (1:3, w/v) were diluted 1:1 in BHIS (+2% (w/v) sodium taurocholate), combined immediately with CD630 spores (1 × 106 CFU) and incubated anaerobically at 37 °C. PBS was used as a control in place of SI extracts. Samples were removed for analysis of total counts of CD630 CFU by plating on selective ChromID agar. Additionally, heat resistant spores (60 °C, 30 min.) were enumerated on ChromID agar and all samples at 1 h showed no counts and therefore complete germination of all CD630 spores.

2.11. Synergy between HELMs and SI Extracts

A sterile, cell-free Bv277 supernatant was incubated for 3 h (RT) 1:1 with: dH2O (HELMs) or methanol extracts of mouse SI with (HELMs + SI-Clin) or without (HELMs + SI) clindamycin treatment. Methanol extracts of mouse SI had been evaporated and resuspended in saline 1/3 (w/v) according to the original weight of the intestinal contents. The mixtures were serially diluted and inhibitory activity to CD630 was measured using the microdilution assay.

2.12. Synergy between HELMs and DOC

Varying concentrations of Bv277 HELMs (1 to 4 μg/mL) were mixed with different concentrations of primary bile acid cholate (CA) or secondary bile acid deoxycholate (DOC) (50 to 400 μM) and added to mid-logarithmic cultures of CD630 and incubated for 5 h at 37 °C. OD readings (600 nm) were taken, and relative growth determined as the percentage increase in OD600 from the time of addition of samples to the CD630 culture. Concentration of lipopeptides was estimated according to the dry weight of purified SEC fractions.

2.13. In Vivo Studies

C57 BL/6 mice (females, aged 10–12 weeks, Charles River) were used for all murine studies. Golden Syrian Hamsters (females, aged 16–18 weeks old; Envigo) were used for the hamster study. All animal procedures were performed under the UK Home Office project license PPL 70/8276. For enumeration of C. difficile spores in feces or cecum, samples were homogenized in 70% ethanol, incubated overnight, serially diluted in sterile water and plated onto selective ChromID. Plates were incubated anaerobically for 2 days (37 °C) before counting [35]. Toxins A and B in fecal and cecal samples were quantified using ELISA (Supplementary Methods) [35].

2.14. Preparation of Bacillus Test Material for In Vivo Studies

All Bacillus-derived test material used for the dosing of animals was grown in BHIB from a single colony for 8 h (200 rpm, 37 °C) prior to being sub-cultured at a dilution of 1/100 in 100 mL of BHIB and incubated for 16–18 h (200 rpm, 37 °C). The material was centrifuged (10,000× g, 10 min.), the supernatant retained and the pellet washed two times and resuspended in PBS, serially diluted and counted on DSM plates to determine the CFU/mL of the original culture. The resultant material consisted of >95% spores (data not shown). The cell-free supernatant was filter sterilized (0.45 μm pore size) and stored at −20 °C.

2.15. Murine C. difficile Colonization Susceptibility Study

Mice receiving non-sterilized food, water, bedding and exposed to a non-filtered environment are referred to as ‘Conventionally caged’ (CC). Mice receiving UV-treated food, water and bedding and exposed to a HEPA-filtered IVC environment are referred to here as ‘Super Clean’. Mice (n = 5/gp) were housed in CCs or IVCs (Super Clean) for 12 months to mimic the increased susceptibility observed in elderly humans [36] after which they were administered clindamycin (i.g.) at different doses, followed 24 h later by challenge (i.g.) with 102 spores of CD630. Animals were considered colonized when carrying detectable levels (>103/g CFU) of ethanol-resistant C. difficile spores (ChromID) in their ceca 24 h post challenge [35]. The infectious concentration 50% (IC50) of the clindamycin was determined in mice using Graphpad Prism software (v. 9.1.2, Graphpad Software Inc., San Diego, CA, USA). Counts of Bacillus spores from individual mice were collected 24 h prior to clindamycin administration and enumerated as described above.

2.16. Bacillus and C. difficile Colonization Cohort Study in Piglets

Fecal samples were collected from neonatal piglets (n = 3) housed in pens at 1, 2, 3, 5, 7, 10 and 13 days post-birth. Each collected fecal sample was analyzed for both C. difficile spores (ChromID) and aerobic Bacillus (LB) spores, as described above.

2.17. Hamster Clindamycin Colonization Model

Hamsters were housed individually in IVCs with 6 animals/gp. The study initiated with a single oral (i.g.) dose of clindamycin (30 mg/kg). Groups were then dosed two times (2 × 109 CFU/dose) with either HELM+ or HELM Bacillus spores or HELM+ cell-free supernatant (2 mL/dose). A total of 24 h post-clindamycin the animals were given a single oral (i.g.) dose of CD630 pure spores (102 CFU), after which they received a further three doses of Bacillus spores or supernatant. Dosing of Bacillus spores or supernatant (3-times/day, 6 h intervals) continued till study end. Animals were monitored for symptoms of disease progression and culled upon reaching the clinical endpoint. Symptoms of CDI scored were defined as severe/clinical end point (wet tail >2 cm, high lethargy), mild (wet tail <2 cm) or healthy. Ceca were taken from culled animals and analyzed for the presence of toxins by ELISA and ethanol resistant C. difficile spore CFU (ChromID), as described above.

2.18. Murine Microbiota Depletion Model

Mice were housed in groups (n = 6/gp) in IVCs and for 7 days were given an antibiotic cocktail (1 g/L of vancomycin, kanamycin, ampicillin, metronidazole, gentamicin and 30 g/L of sucrose) ad libitum in their drinking water to eradicate the pre-existing intestinal microbiota. The antibiotic cocktail was replaced every 2 days with fresh antibiotic and after 7 days mice were given ordinary drinking water for 2 days. During this washout period mice were dosed three times per day with either 107, 106, 105, 104, 103 CFU/dose of HELM+ or HELM Bacillus spores or PBS (naïve group). On the day of challenge, mice received a further three doses of Bacillus spores and were also challenged with 103 CD630 spores. A total of 24 h after challenge mice were culled and the cecum removed to determine ethanol-resistant C. difficile spore counts (ChromID) and levels of toxin A, as described above. Feces from each mouse were collected, serially diluted in PBS and plated on LB or BHIS under aerobic or anaerobic conditions, respectively, after antibiotic treatment (37 °C, 48 h) to ensure that the microbiota had been depleted of bacteria (data not shown).

2.19. Statistics

Statistical analyses were conducted, and significance determined using the Welch t-test for unequal variance unless otherwise specified. All statistical analyses were performed using GraphPad Prism software (v. 9.1.2, Graphpad Software Inc., San Diego, CA, USA).In all experiments involving group comparisons at least six animals were used per group (with the exception of Figure 1A which used five animals per group and Supplementary Figure S8 which used four); for these non-parametric tests it was calculated that a sample size of six per group would be sufficient to detect an effect size of two with 80% power (alpha = 0.05). Spearman rank correlation tests were used to find significant correlations between two continuous variables. When possible, investigators were blinded during group allocation and outcome assessment. Animal groupings were randomized using a random number generator (random.org). Survival functions were estimated using the Kaplan–Meier method and differences analyzed with the log-rank (Mantel–Cox) test using GraphPad Prism software (v.9.1.2).

2.20. Data Availability

The data that support the findings of this study are available from the corresponding author.

3. Results

3.1. C. difficile Colonization Inversely Correlates to the Acquisition of Environmental Bacillus

The acquisition of environmental bacteria has been linked to pathogen susceptibility and colonization [16,17,18,19,27]. As such, we sought to investigate the relationship between allochthonous Bacillus spp. and C. difficile colonization. Initially, we examined newborn piglet feces for the presence or absence of Bacillus spp. and C. difficile. This analysis showed that during the first 13 days after birth a declining C. difficile population correlated with an increasing Bacillus count (p = 0.0127) (Figure 1A). Previous work has shown a similar decline of the C. difficile population in piglet fecal samples, without postulating a potential mechanism [14,15]. As a microorganism present in the environment, Bacillus would be acquired by neonatal pigs accounting for the temporal increase in fecal counts.
In pigs, high hygiene levels have been associated with an increased susceptibility to pathogen colonization and disease [16], raising the intriguing question of whether the same might apply to C. difficile. We designed a murine experiment to mimic reduced environmental exposure and then assessed its impact on susceptibility to C. difficile colonization. Using mice, we housed animals for 1 year under two standards of hygiene, conventional and ‘super clean’. The former comprised of standard caging (CC, conventional caging), diet, bedding and water used for laboratory animals. ‘Super clean’ involved housing animals in individually ventilated cages (IVCs) that carried HEPA-filtered air together with sterile food, drinking water and bedding; therefore, devoid of microorganisms normally present in food, water and air. In both cases animals were housed individually. To assess susceptibility to C. difficile colonization, groups of ‘super clean’ and ‘CC’ mice were administered various concentrations of clindamycin followed by challenge with C. difficile (strain CD630, tcdA+ tcdB+) (Figure 1B). Intriguingly, our data showed that ‘super clean’ mice required concentrations of clindamycin sixty percent lower (IC50 of 0.8 mg/kg) compared to the CC mice (IC50 of 2 mg/kg) to enable C. difficile colonization. Analysis of feces from these animals 24 h prior to the administration of clindamycin, to which Bacillus is sensitive [37], showed that the ‘super clean’ mice had undetectable levels of Bacillus, but in the CC mice counts were between 103 and 104 CFU/g (Figure 1C).
Therefore, animals housed under conditions of reduced environmental exposure (and having depleted fecal Bacillus counts (Figure 1C)) were rendered more susceptible to colonization by C. difficile. However, ‘super clean’ mice still required prior clindamycin administration and, in its absence, these mice were not colonized by CD630 (Figure 1B). This was not unexpected though since ‘super clean’ conditions are likely to exert a multitude of changes upon the intestinal microbiota, and so any impact caused by the depletion of Bacillus on C. difficile colonization is unlikely to be absolute, and additional factors may also be contributing to host colonization resistance [12,38]. One possibility is a shift in the microbial composition of the intestinal microbiota in ‘super clean’ mice to genera more susceptible to clindamycin [16].

3.2. Environmentally Acquired Bacillus Have Inhibitory Activity towards C. difficile

To further investigate the association between Bacillus and C. difficile we used standard microbiological methods to isolate Bacillus spp. from healthy human, mouse and hamster feces and screened their culture supernatants for direct inhibitory activity to C. difficile. Interestingly, the levels of Bacillus identified with inhibitory activity against C. difficile were roughly equivalent between human (2.4 × 103 CFU/g), mouse (1 × 103 CFU/g) and hamster (3.3 × 103 CFU/g) fecal samples. After clindamycin treatment (30 mg/kg), the number of colonies with inhibitory activity in the feces of mice (6.2 × 101 CFU/g) and hamsters (1.4 × 102 CFU/g) was found to decrease by 10- to 20-fold.
Previous taxonomic profiling of ‘active’ murine, human and hamster isolates revealed them to be three species of Bacillus (B. subtilis (Bs), B. velezensis (Bv) and B. licheniformis (Bl)) [23], which was confirmed here (Supplementary Table S1). Bioanalysis of the active component within the culture filtrates of inhibitory Bacillus spp. revealed it to be a high MW micellar complex comprised of various lipopeptides that together were capable of lytic activity against C. difficile [23]. This complex is henceforth referred to as a HELM (heterogenous lipopeptide lytic micelle). Previous work has shown this HELM to be comprised of the cyclic lipopeptides, iturin, fengycin, surfactin (three isoforms) [39] and the dipeptide antibiotic chlorotetaine [23,40]. This was confirmed here using RP-HPLC and MALDI-TOF analysis of Bv277 material, which was selected as an exemplar due to the high level of inhibitory activity it demonstrated against C. difficile (Supplementary Figure S2A, Supplementary Tables S1 and S2). All individual compounds inhibited growth of CD630 (Supplementary Figure S2B). Combining them together further enhanced their inhibitory effect, which exceeded the expected additive effect of the combined fractions by ~2-fold, indicating a synergistic action (Supplementary Figure S2B). Accordingly, for inhibitory Bacillus strains we found that the highest activity was associated with the presence of all four compounds (Supplementary Table S1, Supplementary Figure S2B). Representative, inhibitory strains from each of the three species of Bacillus were found to produce detectable levels of HELMs, as confirmed by RP-HPLC and MALDI-TOF analysis (Figure 2A–C). Supernatants from two representative strains with no activity against C. difficile from B. velezensis (Bv378) and B. subtilis (PY79) showed no detectable lipopeptides (Supplementary Figure S3). Dynamic light scattering (DLS) analysis further confirmed that Bacillus HELMs were forming mixed micelle particles, showing monodisperse and stable micelles of ~6.8 nm (Figure 2D).
To demonstrate the importance of HELMs for Bacillus inhibitory activity against C. difficile, we constructed a mutant carrying an insertion in the srfAA gene that is involved in the biosynthesis of surfactin (Supplementary Figure S4, Supplementary Methods) [41]. The cell-free supernatant of the Bv277 srfAA mutant (HELM) produced no surfactins, biosurfactant activity and in vitro activity (Figure 2E,F, Supplementary Figure S4A). Interestingly, although present, levels of iturin and fengycin appeared to be reduced in the srfAA mutant suggesting possible disruption to the HELM complex due to the absence of the principal component, surfactin (Supplementary Figure S4C).
Addition of the Bv277 HELM+ supernatant to growing cultures of CD630 showed lysis with a rapid reduction in OD600 and viable CFU confirming a bacteriolytic action, whilst supernatant from the Bv277 srfAA mutant (HELM) showed no such activity (Figure 2E,F, Video S1). This is consistent with the mechanism of action of lipopeptides; via hydrophobic interactions, penetration and pore formation of biological membranes resulting in permeability changes and cell lysis [42]. Taken together, our data demonstrate that Bacillus-produced lipopeptides, coalesced as HELM particles, with inhibitory activity against C. difficile.

3.3. HELMs in the SI Can Inhibit C. difficile

We next investigated whether HELMs produced by environmentally acquired Bacillus spp. could be detected within the GI-tract. Bacillus spores have been shown to germinate and proliferate in the SI [19] after which they secrete extracellular compounds such as toxins, as is the case with B. cereus [43]. We therefore employed RP-HPLC and MALDI-TOF analysis to detect the presence of lipopeptides in the SI of naïve mice, or mice with depleted intestinal Bacillus CFU, post clindamycin administration. Methanol extraction of SI samples followed by analysis of the intestinal contents of naïve mice confirmed the presence of HELMs (Figure 3A–C), which diminished to undetectable levels in mice administered with clindamycin. No lipopeptides could be detected in the feces of naïve or clindamycin-treated mice (data not shown).
The SI is also the site of attachment for many pathogens, including C. difficile that colonizes its host by attaching to the epithelial mucosa [44]. Interestingly, studies have shown that germination of C. difficile spores was equivalent within the SI of mice with or without prior antibiotic treatment [45], which we verified both ex vivo and in vivo (Supplementary Figure S6). It follows then, that in the GI-tract of healthy individuals, various colonization resistance factors must target germinated C. difficile spores and thereby impair disease progression.
For Bacillus-HELMs to contribute to colonization resistance, a reasonable assumption is that this would occur in the SI, the site of Bacillus proliferation, HELM production and C. difficile germination. To test this, clindamycin-treated mice (with depleted intestinal Bacillus CFU) were dosed with HELM+ (Bv277) or HELM (srfAA-) Bacillus spores after which the SI contents were collected, and methanol extracted. Extracts were reconstituted in PBS and incubated (4 °C, 18 h) to allow micellar assembly of amphiphilic components after which they were incubated with CD630 spores in BHIS medium containing 1% sodium taurocholate to induce C. difficile germination. Extracts derived from HELM+-dosed mice inhibited germinated C. difficile cells, while those from HELM-dosed animals did not (Figure 4). SI extracts from naïve mice also showed similar inhibition of CD630 to that of HELM+-dosed mice, while extracts from clindamycin-dosed mice showed no inhibition. Clearly the compounds present within the SI of naïve and HELM+-dosed mice exhibit an inhibitory effect on C. difficile. These compounds must therefore be absent in the antibiotic- and HELM-dosed mice. This suggests a mechanism whereby the production of HELMs by inhibitory Bacillus species can mediate killing of germinated C. difficile in the SI. This is further supported by the lack of activity observed in antibiotic-treated mice, suggesting that the production of inhibitory compounds is reduced following clindamycin depletion of Bacillus. Our results differ somewhat from that of a previous study which failed to observe a killing effect of untreated SI-contents [45] and we suspect that the more rigorous (methanol) extraction procedure used here may account for this difference. Methanol extraction is likely to solubilize a large number of hydrophobic molecules, potentially those with activity against C. difficile [42], including antimicrobials and secondary bile acids.

3.4. Synergistic Activity of HELMs

Resistance to enteric pathogen colonization is most likely an amalgamation of various mechanisms involving bile acids, bacteriophages, nutrient competition, SCFAs and bacteriocins [46]. This functional redundancy may help to explain why no single factor can provide complete colonization resistance, and why the combination of several contributory factors is necessary for disease prevention. Indeed, a recent study provides evidence that intestinal proliferation of C. difficile is regulated by synergy between secondary bile acids and microbiota-produced antimicrobials [46]. Therefore, we asked whether Bacillus HELMs could form part of this dynamic by enabling interaction with other components within the GI-tract to augment host colonization resistance against C. difficile. To determine whether HELMs could enhance inhibitory activity to C. difficile when combined with the contents of the GI-tract, we first incubated HELMs with SI-methanol extracts taken from mice with or without clindamycin treatment, followed by analysis of their inhibitory activity using a microplate assay (Figure 5A). When SI-extracts were added to HELMs, the HELM concentration required to decrease the viability of a C. difficile culture to less than 50% was reduced. This could result either from the presence of bile acids in the intestinal tract, mouse-derived HELMs, antimicrobials or hitherto unknown molecules. This finding is not necessarily surprising as there is extensive evidence for the ability of lipopeptides to synergize with other antimicrobial agents [47,48]. For SI extracts from clindamycin-treated mice, activity was increased but less so than with the naive sample and might be explained if resident microbiota had been killed, resulting in lower levels of antimicrobials, HELMs or bile salts.
Secondary bile acids have also been shown to synergize with antimicrobials in the GI-tract [49,50,51] and they share many physiochemical properties with HELM lipopeptides [48,52]. We speculated that HELM inhibitory activity to C. difficile might be augmented by synergistic interaction with bile acids. Although secondary bile acids are mostly found in the large intestine, significant quantities have also been measured in the SI [53,54]. We observed a strong concentration-dependent enhancement of inhibition (synergy) against C. difficile by HELMs when combined with deoxycholate (DOC) (Figure 5B). By contrast, the same experiment using the primary bile acid cholic acid (CA) showed no effect (Figure 5C). Taken together, these data demonstrate that HELMs and DOC synergize with one another, thereby increasing antimicrobial activity.
Synergy between bile acids and HELMs likely results from the complementarity of physio-chemical properties and the hydrophilic–hydrophobic balance arising from interactions between different amphiphiles (Supplementary Figure S5). This ability to disrupt lipid membranes correlates with increases in the hydrophobicity, interfacial and micellar properties of amphiphiles, and most probably accounts for the increased antibacterial activity of bile acid–HELM combinations.

3.5. Exclusion of C. difficile Colonization by HELM-Producing Bacillus

To discern the causal effect that HELM-producing Bacillus exerts upon C. difficile colonization in lieu of other contributing factors, we used a microbiota depletion model where animals are subject to a prolonged multi-antibiotic treatment [55,56]. This approach offers several advantages over a germ-free model, including, but not limited to, the detrimental effect long-term sterility has upon mouse development and immune function [56]. To deplete the pre-existing intestinal microbiota, mice were first treated with an antibiotic cocktail for one week followed by a washout period of two days. During the washout period mice were orally dosed with a range of concentrations of HELM+ or HELM spores (103 to 107 CFU/dose). The dosages used in this experiment encompass the physiological levels of Bacillus found in the intestine of both mice and humans (~104 to 105 CFU/g) [57]. Higher doses were also used (~106 to 107 CFU/g), as, unlike in a healthy host, HELM-producing Bacillus would be the sole colonization resistance factor present in this model. On the third day post-antibiotic cessation, mice were challenged with 103 CD630 spores and dosing with HELM+ or HELM spores continued (Figure 6A,B, Supplementary Figure S7A). Analysis of the cecum for correlates of infection showed that the administration of HELM-producing spores prevented C. difficile colonization in a dose-dependent manner. Dosing with 107 CFU HELM+ spores prevented colonization in all mice, with no C. difficile toxin or CFU observed. Mice dosed with 106, 105 and 104 CFU of HELM+ spores demonstrated high levels of colonization resistance, while animals dosed with 103 CFU displayed lower levels. By contrast, administration of HELM spores had no effect on colonization, regardless of dosage, demonstrating the necessity of HELMs in colonization resistance. To further assess the role of HELM-producing Bacillus in C. difficile colonization resistance, we used a clindamycin challenge model in Golden Syrian hamsters (Figure 6C, Supplementary Figure S7B,C). This hamster model was chosen to mimic the infection process in humans and assess the capability of Bacillus HELMs to prevent colonization. When hamsters were administered HELM+ spores, they showed complete protection against CDI with all animals exhibiting no symptoms of disease 12 days post-challenge together with the absence of both toxins and C. difficile in the ceca (Figure 6C, Supplementary Figure S7B,C). Hamsters dosed with a HELM strain (Bv378) having no in vitro activity were not protected, with kinetics similar to naive animals. Hamsters dosed with the cell-free HELM+ supernatant showed a delayed onset of CDI symptoms with 2/6 animals surviving.
These in vivo studies demonstrate that exclusion of C. difficile colonization is associated with the consumption of HELM-producing Bacillus. The administration of these Bacilli at the approximate quantity as that found in the GI-tract of mice and humans is sufficient to preclude CDI by preventing host colonization. Further in vivo studies in mice and hamsters have been conducted which support this conclusion, including the use of other clinically relevant C. difficile ribotypes (027, 078) (Supplementary Figure S8). Taken together, this suggests that environmentally acquired HELM producing Bacillus play an integral role in resistance to C. difficile colonization.

4. Discussion

Our work provides important insights into the impact that environmentally acquired Bacillus have upon C. difficile colonization. Specifically, exposure to these allochthonous bacteria contributes to colonization resistance, and, conversely, reduced exposure may therefore increase susceptibility to disease. Remarkably, as shown here, the relative abundance of ‘inhibitory’ Bacillus spp. in the GI-tracts of humans and animals is essentially equivalent indicating steady-state population dynamics. We show that Bacillus spp. are able to efficiently kill C. difficile by producing cyclic lipopeptides that under favorable conditions, such as those found in the GI-tract, form novel micelle particles which we refer to as HELMs. Clostridia and Bacillus spp. have evolved to compete in a shared soil environment [20,58]. It is therefore not surprising that Bacillus has direct inhibitory activity towards Clostridia spp., nor that this competition could be exported to the GI-tract, another shared environment. Surprisingly, we have also found that HELM particles can synergize with other compounds present in the GI-tract increasing inhibitory activity further still. Current therapies for C. difficile are not ideal, and the work here provides a potential link between exposure to environmental bacteria and C. difficile susceptibility and could act as a foundation for future work for prophylactic treatment of CDI.
Bacillus-produced cyclic lipopeptides are associated with a plethora of important functions including antagonism against other microorganisms [59], biofilm development [60], motility [61] and cell-surface attachment [62]. Non-ribosomal lipopeptide biosynthesis is heavily influenced by pH, temperature, nitrogen and carbohydrate availability [63], and antibacterial potency is dependent on the presence of other amphiphilic compounds with which they can co-associate to form mixed micelles [42]. An important finding made here is the demonstration that the SI provides a suitable environment for HELMs to inhibit C. difficile outgrowth and, considering the amphiphilic and synergistic nature of lipopeptides, it is probable that this occurs via the formation of mixed micelles. We have also found that the composition of HELM micelles can differ with the most potent formulations incorporating antibiotics (exampled here is chlorotetaine) [23]. We would predict this to be a more general phenomenon linked to micelle formulation and we would anticipate that other antimicrobial compounds might also be incorporated into HELMs.
Bacteriocins and antimicrobials readily synergize with one another [64], and there is evidence for mixed micellization and synergy between bile acids and antimicrobial agents against pathogens [49,50], including C. difficile [51]. Microbiota-derived antimicrobial peptides have been shown to be key factors in regulating intestinal bacterial populations [65]. Colonization resistance is known to be a complex phenomenon, and accumulating evidence suggests that a crucial aspect is synergism between bacterially produced agents [51,65,66]. Considering that Bacillus in vitro lipopeptide production and subsequent solubility is dependent on nutrient and mineral availability [63], it is not inconceivable that the abundance and composition of intestinal HELMs is also affected by diet. Furthermore, the abundance of HELMs in the GI-tract is likely to impact upon the solubility, stability and antimicrobial activity of other intestinal components, such as secondary bile acids [67]. If found to be correct, this may play a part in explaining why different individuals exhibit differing levels of colonization resistance.
Antibiotic-mediated dysbiosis of the gut microbiota has been linked to a reduction in Clostridium spp. and other 7 α-dehydroxylating bacteria, resulting in decreased levels of secondary bile acids and a subsequent decline in resistance to CDI [11]. A notable example is C. scindens, that has been shown to transform primary bile acids (e.g., CA) to C. difficile-inhibitory secondary bile acids (e.g., DOC), thereby conferring resistance to CDI [12]. The important, but limited, role that C. scindens plays in colonization resistance has also been observed using a simplified murine 12-species oligo-mouse microbiota model [68]. It is probable that colonization resistance is founded upon an interplay between different factors that build resistance and prevent outgrowth of pathogens. One example would be the regulation of C. difficile growth by synergy between microbiota-produced antibiotics and secondary bile acids [51]. We suggest then, that although colonization resistance is mediated by several factors, important among them is the combined synergistic action of HELMs produced by Bacillus species and other soluble antimicrobial compounds [69], including secondary bile acids.
Studies over the last few decades suggest that changing human lifestyles has affected our exposure to allochthonous bacteria, a grouping that will include Bacillus [70]. Rural populations have a higher exposure to environmental microbes and a more diverse gut microbiota [71,72]. On the other hand, increased urbanization has reduced microbial diversity [73]. A consequence of this has been a reduction in exposure to soil microorganisms and a less diverse gut microbiota [74]. The process of urbanization therefore results in higher inter-individual variation of gut microbial species, a finding which would likely extend to Bacillus species. This might be one factor that could account for the pronounced increase in CDI witnessed over the last 30 years [2], the appearance of CDI in infants [3,75] and also community-associated CDI, where up to 50% of CDI cases (albeit less severe) are reported to have arisen from outside of the hospital [76]. Three recent studies have illustrated links between a ‘Western diet’ and susceptibility to, or severity of, CDI. A fiber-deficient diet has been linked to increased susceptibility to CDI [38], while increased consumption of sugars has been driving speciation of more virulent variants of C. difficile [77] and has impacted upon the emergence of hypervirulent strains [78]. It is becoming apparent that our exposure to environmental bacteria may also be impacting our susceptibility to pathogens. Indeed, a case in point is a recent study showing the importance of Bacillus fengycins in controlling growth of S. aureus in the GI-tract [27]. Considering that both Bacillus and Clostridia are soil-borne, the findings from this study suggest that the evolutionary competition begun in the soil by the progenitors of these two genera may have resumed within the human microbiome [79,80]. An increased focus on these environmentally acquired bacteria may provide future measures to control CDI.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/biomedicines10050930/s1, Figure S1: Study schematic; Figure S2: RP-HPLC analysis of HELMs from Bv277; Figure S3: RP-HPLC analysis of HELMs from negative Bacillus isolates; Figure S4: Construction of a Bv277 srfAA mutant (HELM−); Figure S5: RP-HPLC analysis of HELMs present in the small intestine; Figure S6: C. difficile germinates in the presence or absence of clindamycin within the GI-tract; Figure S7: Studies in mice and Golden Syrian hamsters; Figure S8: Effect of HELM+ on colonization of ribotypes 027 and 078; Table S1: Human Bacillus strains with inhibitory activity to C. difficile; Table S2: MALDI-TOF analysis of Bv277 HELM RP-HPLC active fractions; Video S1: Bv277 lysis of C. difficile; Supplementary methods [81,82,83].

Author Contributions

Conceptualization, S.M.C., H.A.H., M.S. and W.T.F.; methodology, S.M.C., M.S., H.A.H., J.R.G.A. and W.T.F.; software, W.T.F., J.R.G.A. and M.H.; validation, W.T.F., H.A.H., J.R.G.A., M.H. and M.S.; formal analysis, W.T.F., H.A.H., J.R.G.A., M.H., N.K.K., S.T., E.F., A.B. and M.S.; investigation, W.T.F., H.A.H., M.H., J.R.G.A., N.K.K., S.T., E.F., A.B., J.Z. and M.S.; resources, S.M.C., E.F., A.B. and M.S.; data curation, W.T.F., M.H., J.R.G.A., N.K.K., E.F., A.B. and M.S.; writing—original draft preparation, S.M.C., W.T.F., J.R.G.A. and H.A.H.; writing—review and editing, S.M.C., W.T.F., H.A.H., J.R.G.A., M.H., E.F. and M.S.; visualization, W.T.F., S.M.C., J.R.G.A., M.H. and M.S.; supervision, S.M.C. and M.S.; project administration, S.M.C.; funding acquisition, S.M.C. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported in part by a grant from the Medical Research Council (MR/R026262/1) to SMC.

Institutional Review Board Statement

All animal procedures were performed under the UK Home Office project license PPL 70/8276. The animal study protocol was approved by the Institutional Review Board of Royal Holloway, University of London (9 October 2019).

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available from the corresponding author upon reasonable request.

Acknowledgments

We thank Łukasz Grześkowiak for the provision of pig faecal samples.

Conflicts of Interest

S.M.C. and H.A.H. are shareholders in SporeGen Ltd. S.M.C. is a director at SporeGen Ltd. N.K.K. is an employee (research scientist) at SporeGen Ltd. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results. The company played a role in the collection, analyses, or interpretation of data.

References

  1. Smits, W.K.; Lyras, D.; Lacy, D.B.; Wilcox, M.H.; Kuijper, E.J. Clostridium difficile infection. Nat. Rev. Dis. Primers 2016, 2, 16020. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Depestel, D.D.; Aronoff, D.M. Epidemiology of Clostridium difficile infection. J. Pharm. Pract. 2013, 26, 464–475. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Kim, J.; Smathers, S.A.; Prasad, P.; Leckerman, K.H.; Coffin, S.; Zaoutis, T. Epidemiological features of Clostridium difficile-associated disease among inpatients at children’s hospitals in the United States, 2001–2006. Pediatrics 2008, 122, 1266–1270. [Google Scholar] [CrossRef] [PubMed]
  4. Ott, S.J.; Waetzig, G.H.; Rehman, A.; Moltzau-Anderson, J.; Bharti, R.; Grasis, J.A.; Cassidy, L.; Tholey, A.; Fickenscher, H.; Seegert, D.; et al. Efficacy of Sterile Fecal Filtrate Transfer for Treating Patients With Clostridium difficile Infection. Gastroenterology 2017, 152, 799–811.e7. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Miezeiewski, M.; Schnaufer, T.; Muravsky, M.; Wang, S.; Caro-Aguilar, I.; Secore, S.; Thiriot, D.S.; Hsu, C.; Rogers, I.; DeSantis, T.; et al. An in vitro culture model to study the dynamics of colonic microbiota in Syrian golden hamsters and their susceptibility to infection with Clostridium difficile. ISME J. 2015, 9, 321–332. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  6. Jangi, S.; Lamont, J.T. Asymptomatic colonization by Clostridium difficile in infants: Implications for disease in later life. J. Pediatr. Gastroenterol. Nutr. 2010, 51, 2–7. [Google Scholar] [CrossRef]
  7. Daquigan, N.; Seekatz, A.M.; Greathouse, K.L.; Young, V.B.; White, J.R. High-resolution profiling of the gut microbiome reveals the extent of Clostridium difficile burden. NPJ Biofilms Microbiomes 2017, 3, 35. [Google Scholar] [CrossRef] [PubMed]
  8. Rousseau, C.; Levenez, F.; Fouqueray, C.; Dore, J.; Collignon, A.; Lepage, P. Clostridium difficile colonization in early infancy is accompanied by changes in intestinal microbiota composition. J. Clin. Microbiol. 2011, 49, 858–865. [Google Scholar] [CrossRef] [Green Version]
  9. Ringel-Kulka, T.; Cheng, J.; Ringel, Y.; Salojarvi, J.; Carroll, I.; Palva, A.; de Vos, W.M.; Satokari, R. Intestinal microbiota in healthy U.S. young children and adults--a high throughput microarray analysis. PLoS ONE 2013, 8, e64315. [Google Scholar] [CrossRef]
  10. Li, Y.; Faden, H.S.; Zhu, L. The Response of the Gut Microbiota to Dietary Changes in the First Two Years of Life. Front. Pharmacol. 2020, 11, 334. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  11. Winston, J.A.; Theriot, C.M. Impact of microbial derived secondary bile acids on colonization resistance against Clostridium difficile in the gastrointestinal tract. Anaerobe 2016, 41, 44–50. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  12. Buffie, C.G.; Bucci, V.; Stein, R.R.; McKenney, P.T.; Ling, L.; Gobourne, A.; No, D.; Liu, H.; Kinnebrew, M.; Viale, A.; et al. Precision microbiome reconstitution restores bile acid mediated resistance to Clostridium difficile. Nature 2015, 517, 205–208. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Hopman, N.E.; Keessen, E.C.; Harmanus, C.; Sanders, I.M.; van Leengoed, L.A.; Kuijper, E.J.; Lipman, L.J.A. Acquisition of Clostridium difficile by piglets. Vet. Microbiol. 2011, 149, 186–192. [Google Scholar] [CrossRef] [PubMed]
  14. Grzeskowiak, L.M.; Pieper, R.; Huynh, H.A.; Cutting, S.M.; Vahjen, W.; Zentek, J. Impact of early-life events on the susceptibility to Clostridium difficile colonisation and infection in the offspring of the pig. Gut Microbes 2019, 10, 251–259. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Weese, J.S.; Wakeford, T.; Reid-Smith, R.; Rousseau, J.; Friendship, R. Longitudinal investigation of Clostridium difficile shedding in piglets. Anaerobe 2010, 16, 501–504. [Google Scholar] [CrossRef]
  16. Mulder, I.E.; Schmidt, B.; Stokes, C.R.; Lewis, M.; Bailey, M.; Aminov, R.I.; Prosser, J.I.; Gill, B.P.; Pluske, J.R.; Mayer, C.D.; et al. Environmentally-acquired bacteria influence microbial diversity and natural innate immune responses at gut surfaces. BMC Biol. 2009, 7, 79. [Google Scholar] [CrossRef] [Green Version]
  17. Yue, S.; Li, Z.; Hu, F.; Picimbon, J.F. Curing piglets from diarrhea and preparation of a healthy microbiome with Bacillus treatment for industrial animal breeding. Sci. Rep. 2020, 10, 19476. [Google Scholar] [CrossRef]
  18. El Hage, R.; Hernandez-Sanabria, E.; Van de Wiele, T. Emerging Trends in “Smart Probiotics”: Functional Consideration for the Development of Novel Health and Industrial Applications. Front. Microbiol. 2017, 8, 1889. [Google Scholar] [CrossRef]
  19. Tam, N.K.; Uyen, N.Q.; Hong, H.A.; Duc le, H.; Hoa, T.T.; Serra, C.R.; Henriques, A.O.; Cutting, S.M. The intestinal life cycle of Bacillus subtilis and close relatives. J. Bacteriol. 2006, 188, 2692–2700. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  20. Andric, S.; Meyer, T.; Ongena, M. Bacillus Responses to Plant-Associated Fungal and Bacterial Communities. Front. Microbiol. 2020, 11, 1350. [Google Scholar] [CrossRef]
  21. Lopez, D.; Vlamakis, H.; Losick, R.; Kolter, R. Cannibalism enhances biofilm development in Bacillus subtilis. Mol. Microbiol. 2009, 74, 609–618. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  22. Kakar, K.U.; Duan, Y.P.; Nawaz, Z.; Sun, G.; Almoneafy, A.A.; Hassan, M.A.; Elshakh, A.; Li, B.; Xie, G.L. A novel rhizobacterium Bk7 for biological control of brown sheath rot of rice caused by Pseudomonas fuscovaginae and its mode of action. Eur. J. Plant Pathol. 2014, 138, 819–834. [Google Scholar] [CrossRef]
  23. Ferreira, W.T.; Hong, H.A.; Hess, M.; Adams, J.R.G.; Wood, H.; Bakun, K.; Tan, S.; Baccigalupi, L.; Ferrari, E.; Brisson, A.; et al. Micellar Antibiotics of Bacillus. Pharmaceutics 2021, 13, 1296. [Google Scholar] [CrossRef] [PubMed]
  24. Milani, C.; Hevia, A.; Foroni, E.; Duranti, S.; Turroni, F.; Lugli, G.A.; Sanchez, B.; Martin, R.; Gueimonde, M.; van Sinderen, D.; et al. Assessing the fecal microbiota: An optimized ion torrent 16S rRNA gene-based analysis protocol. PLoS ONE 2013, 8, e68739. [Google Scholar] [CrossRef]
  25. Jenior, M.L.; Leslie, J.L.; Young, V.B.; Schloss, P.D. Clostridium difficile Alters the Structure and Metabolism of Distinct Cecal Microbiomes during Initial Infection To Promote Sustained Colonization. MSphere 2018, 3, e00261-18. [Google Scholar] [CrossRef] [Green Version]
  26. Filippidou, S.; Junier, T.; Wunderlin, T.; Lo, C.C.; Li, P.E.; Chain, P.S.; Junier, P. Under-detection of endospore-forming Firmicutes in metagenomic data. Comput. Struct. Biotechnol. J. 2015, 13, 299–306. [Google Scholar] [CrossRef] [Green Version]
  27. Piewngam, P.; Zheng, Y.; Nguyen, T.H.; Dickey, S.W.; Joo, H.-S.; Villaruz, A.E.; Glose, K.A.; Fisher, E.L.; Hunt, R.L.; Li, B.; et al. Pathogen elimination by probiotic Bacillus via signalling interference. Nature 2018, 562, 532–537. [Google Scholar] [CrossRef] [PubMed]
  28. Phister, T.G.; O’Sullivan, D.J.; McKay, L.L. Identification of bacilysin, chlorotetaine, and iturin a produced by Bacillus sp. strain CS93 isolated from pozol, a Mexican fermented maize dough. Appl. Environ. Microbiol. 2004, 70, 631–634. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  29. Molecular Biological Methods for Bacillus; Harwood, C.R.; Cutting, S.M. (Eds.) John Wiley & Sons Ltd.: Chichester, UK, 1990. [Google Scholar]
  30. Phetcharaburanin, J.; Hong, H.A.; Colenutt, C.; Bianconi, I.; Sempere, L.; Permpoonpattana, P.; Smith, K.; Dembek, M.; Tan, S.; Brisson, M.C.; et al. The spore-associated protein BclA1 affects the susceptibility of animals to colonization and infection by Clostridium difficile. Mol. Microbiol. 2014, 92, 1025–1038. [Google Scholar] [CrossRef]
  31. Hong, H.A.; Khaneja, R.; Tam, N.M.; Cazzato, A.; Tan, S.; Urdaci, M.; Brisson, A.; Gasbarrini, A.; Barnes, I.; Cutting, S.M. Bacillus subtilis isolated from the human gastrointestinal tract. Res. Microbiol. 2009, 160, 134–143. [Google Scholar] [CrossRef] [PubMed]
  32. Munoz, M.; Rios-Chaparro, D.I.; Herrera, G.; Soto-De Leon, S.C.; Birchenall, C.; Pinilla, D.; Pardo-Oviedo, J.M.; Josa, D.F.; Patarroyo, M.A.; Ramírez, J.D. New Insights into Clostridium difficile (CD) Infection in Latin America: Novel Description of Toxigenic Profiles of Diarrhea-Associated to CD in Bogota, Colombia. Front. Microbiol. 2018, 9, 74. [Google Scholar] [CrossRef] [Green Version]
  33. Chun, J.; Bae, K.S. Phylogenetic analysis of Bacillus subtilis and related taxa based on partial gyrA gene sequences. Antonie Van Leeuwenhoek 2000, 78, 123–127. [Google Scholar] [CrossRef]
  34. Hoa, N.T.; Baccigalupi, L.; Huxham, A.; Smertenko, A.; Van, P.H.; Ammendola, S.; Ricca, E.; Cutting, S.M. Characterization of Bacillus species used for oral bacteriotherapy and bacterioprophylaxis of gastrointestinal disorders. Appl. Environ. Microbiol. 2000, 66, 5241–5247. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  35. Hong, H.A.; Hitri, K.; Hosseini, S.; Kotowicz, N.; Bryan, D.; Mawas, F.; Wilkinson, A.J.; van Broekhoven, A.; Kearsey, J.; Cutting, S.M. Mucosal Antibodies to the C Terminus of Toxin A Prevent Colonization of Clostridium difficile. Infect. Immun. 2017, 85, e01060-16. [Google Scholar] [CrossRef] [Green Version]
  36. Jump, R.L. Clostridium difficile infection in older adults. Aging Health 2013, 9, 403–414. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  37. Adimpong, D.B.; Sorensen, K.I.; Thorsen, L.; Stuer-Lauridsen, B.; Abdelgadir, W.S.; Nielsen, D.S.; Derkx, P.M.; Jespersen, L. Antimicrobial susceptibility of Bacillus strains isolated from primary starters for African traditional bread production and characterization of the bacitracin operon and bacitracin biosynthesis. Appl. Environ. Microbiol. 2012, 78, 7903–7914. [Google Scholar] [CrossRef] [Green Version]
  38. Hryckowian, A.J.; Van Treuren, W.; Smits, S.A.; Davis, N.M.; Gardner, J.O.; Bouley, D.M.; Sonnenburg, J.L. Microbiota-accessible carbohydrates suppress Clostridium difficile infection in a murine model. Nat. Microbiol. 2018, 3, 662–669. [Google Scholar] [CrossRef] [PubMed]
  39. Caulier, S.; Nannan, C.; Gillis, A.; Licciardi, F.; Bragard, C.; Mahillon, J. Overview of the Antimicrobial Compounds Produced by Members of the Bacillus subtilis Group. Front. Microbiol. 2019, 10, 302. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  40. Rapp, C.; Jung, G.; Katzer, W.; Loeffler, W. Chlorotetain from Bacillus subtilis, an antifungal dipeptide with an unusual chlorine-containing amino acid. Angew. Chem. Int. Ed. Engl. 1988, 27, 1733–1734. [Google Scholar] [CrossRef]
  41. Mnif, I.; Ghribi, D. Review lipopeptides biosurfactants: Mean classes and new insights for industrial, biomedical, and environmental applications. Biopolymers 2015, 104, 129–147. [Google Scholar] [CrossRef]
  42. Sheikh, M.; Khanam, A.J.; Matto, R.; Din, K. Comparative study of the micellar and antimicrobial activity of Gemini conventional surfactants in pure and mixed micelles. J. Surfactants Deterg. 2013, 16, 503–508. [Google Scholar] [CrossRef]
  43. Granum, P.E.; Lund, T. Bacillus cereus and its food poisoning toxins. FEMS Microbiol. Lett. 1997, 157, 223–228. [Google Scholar] [CrossRef] [PubMed]
  44. Hong, H.A.; Ferreira, W.T.; Hosseini, S.; Anwar, S.; Hitri, K.; Wilkinson, A.J.; Vahjen, W.; Zentek, J.; Soloviev, M.; Cutting, S.M. The Spore Coat Protein CotE Facilitates Host Colonization by Clostridium difficile. J. Infect. Dis. 2017, 216, 1452–1459. [Google Scholar] [CrossRef] [PubMed]
  45. Theriot, C.M.; Bowman, A.A.; Young, V.B. Antibiotic-Induced Alterations of the Gut Microbiota Alter Secondary Bile Acid Production and Allow for Clostridium difficile Spore Germination and Outgrowth in the Large Intestine. MSphere 2016, 1, e00045-15. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  46. Ducarmon, Q.R.; Zwittink, R.D.; Hornung, B.V.H.; van Schaik, W.; Young, V.B.; Kuijper, E.J. Gut Microbiota and Colonization Resistance against Bacterial Enteric Infection. Microbiol. Mol. Biol. Rev. 2019, 83, e00007-19. [Google Scholar] [CrossRef] [PubMed]
  47. Desbois, A.P.; Coote, P.J. Bactericidal synergy of lysostaphin in combination with antimicrobial peptides. Eur. J. Clin. Microbiol. Infect. Dis. 2011, 30, 1015–1021. [Google Scholar] [CrossRef]
  48. Rivardo, F.; Martinotti, M.G.; Turner, R.J.; Ceri, H. Synergistic effect of lipopeptide biosurfactant with antibiotics against Escherichia coli CFT073 biofilm. Int. J. Antimicrob. Agents 2011, 37, 324–331. [Google Scholar] [CrossRef] [PubMed]
  49. Darkoh, C.; Lichtenberger, L.M.; Ajami, N.; Dial, E.J.; Jiang, Z.D.; DuPont, H.L. Bile acids improve the antimicrobial effect of rifaximin. Antimicrob. Agents Chemother. 2010, 54, 3618–3624. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  50. Aleksic Sabo, V.; Skoric, D.; Jovanovic-Santa, S.; Nikolic, I.; Janos, C.; Knezevic, P. Synergistic activity of bile salts and their derivatives in combination with conventional antimicrobial agents against Acinetobacter baumannii. J. Ethnopharmacol. 2021, 264, 113266. [Google Scholar] [CrossRef]
  51. Kang, J.D.; Myers, C.J.; Harris, S.C.; Kakiyama, G.; Lee, I.K.; Yun, B.S.; Matsuzaki, K.; Furukawa, M.; Min, H.K.; Bajaj, J.S.; et al. Bile Acid 7alpha-Dehydroxylating Gut Bacteria Secrete Antibiotics that Inhibit Clostridium difficile: Role of Secondary Bile Acids. Cell Chem. Biol. 2019, 26, 27–34.e4. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  52. Enright, E.F.; Joyce, S.A.; Gahan, C.G.; Griffin, B.T. Impact of Gut Microbiota-Mediated Bile Acid Metabolism on the Solubilization Capacity of Bile Salt Micelles and Drug Solubility. Mol. Pharm. 2017, 14, 1251–1263. [Google Scholar] [CrossRef]
  53. Wang, L.; Zhou, Y.; Wang, X.; Zhang, G.; Guo, B.; Hou, X.; Ran, J.; Zhang, Q.; Li, C.; Zhao, X.; et al. Mechanism of Asbt (Slc10a2)-related bile acid malabsorption in diarrhea after pelvic radiation. Int. J. Radiat. Biol. 2020, 96, 510–519. [Google Scholar] [CrossRef] [PubMed]
  54. Xie, Y.; Matsumoto, H.; Kennedy, S.; Newberry, E.P.; Moritz, W.; DeBosch, B.J.; Moley, K.H.; Rubin, D.C.; Warner, B.W.; Kau, A.L.; et al. Impaired Chylomicron Assembly Modifies Hepatic Metabolism through Bile Acid-Dependent and Transmissible Microbial Adaptations. Hepatology 2019, 70, 1168–1184. [Google Scholar] [CrossRef] [PubMed]
  55. Levy, M.; Thaiss, C.A.; Zeevi, D.; Dohnalova, L.; Zilberman-Schapira, G.; Mahdi, J.A.; David, E.; Savidor, A.; Korem, T.; Herzig, Y.; et al. Microbiota-Modulated Metabolites Shape the Intestinal Microenvironment by Regulating NLRP6 Inflammasome Signaling. Cell 2015, 163, 1428–1443. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  56. Kennedy, E.A.; King, K.Y.; Baldridge, M.T. Mouse Microbiota Models: Comparing Germ-Free Mice and Antibiotics Treatment as Tools for Modifying Gut Bacteria. Front. Physiol. 2018, 9, 1534. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  57. Hong, H.A.; To, E.; Fakhry, S.; Baccigalupi, L.; Ricca, E.; Cutting, S.M. Defining the natural habitat of Bacillus spore-formers. Res. Microbiol. 2009, 160, 375–379. [Google Scholar] [CrossRef] [PubMed]
  58. Heyndrickx, M. The Importance of Endospore-Forming Bacteria Originating from Soil for Contamination of Industrial Food Processing. Appl. Environ. Soil Sci. 2011, 2011, 561975. [Google Scholar] [CrossRef] [Green Version]
  59. Nybroe, O.; Sorensen, J. Production of Cyclic Lipopeptides by Fluorescent Pseudomonads. In Pseudomonas; Ramons, J.-L., Ed.; Kluwer Academic/Plenum: New York, NY, USA, 2004; pp. 147–172. [Google Scholar]
  60. Hofemeister, J.; Conrad, B.; Adler, B.; Hofemeister, B.; Feesche, J.; Kucheryava, N.; Steinborn, G.; Franke, P.; Grammel, N.; Zwintscher, A.; et al. Genetic analysis of the biosynthesis of non-ribosomal peptide- and polyketide-like antibiotics, iron uptake and biofilm formation by Bacillus subtilis A1/3. Mol. Genet. Genom. 2004, 272, 363–378. [Google Scholar] [CrossRef]
  61. Raaijmakers, J.M.; De Bruijn, I.; Nybroe, O.; Ongena, M. Natural functions of lipopeptides from Bacillus and Pseudomonas: More than surfactants and antibiotics. FEMS Microbiol. Rev. 2010, 34, 1037–1062. [Google Scholar] [CrossRef] [Green Version]
  62. Shakerifard, P.; Gancel, F.; Jacques, P.; Faille, C. Effect of different Bacillus subtilis lipopeptides on surface hydrophobicity and adhesion of Bacillus cereus 98/4 spores to stainless steel and Teflon. Biofouling 2009, 25, 533–541. [Google Scholar] [CrossRef]
  63. Ghribi, D.; Ellouze-Chaabouni, S. Enhancement of Bacillus subtilis Lipopeptide Biosurfactants Production through Optimization of Medium Composition and Adequate Control of Aeration. Biotechnol. Res. Int. 2011, 2011, 653654. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  64. Mathur, H.; Field, D.; Rea, M.C.; Cotter, P.D.; Hill, C.; Ross, R.P. Bacteriocin-Antimicrobial Synergy: A Medical and Food Perspective. Front. Microbiol. 2017, 8, 1205. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  65. Sorbara, M.T.; Pamer, E.G. Interbacterial mechanisms of colonization resistance and the strategies pathogens use to overcome them. Mucosal Immunol. 2019, 12, 1–9. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  66. LaCourse, K.D.; Peterson, S.B.; Kulasekara, H.D.; Radey, M.C.; Kim, J.; Mougous, J.D. Conditional toxicity and synergy drive diversity among antibacterial effectors. Nat. Microbiol. 2018, 3, 440–446. [Google Scholar] [CrossRef] [PubMed]
  67. Vinarov, Z.; Katev, V.; Radeva, D.; Tcholakova, S.; Denkov, N.D. Micellar solubilization of poorly water-soluble drugs: Effect of surfactant and solubilizate molecular structure. Drug Dev. Ind. Pharm. 2018, 44, 677–686. [Google Scholar] [CrossRef]
  68. Studer, N.; Desharnais, L.; Beutler, M.; Brugiroux, S.; Terrazos, M.A.; Menin, L.; Schürch, C.M.; McCoy, K.D.; Kuehne, S.A.; Minton, N.P.; et al. Functional Intestinal Bile Acid 7alpha-Dehydroxylation by Clostridium scindens Associated with Protection from Clostridium difficile Infection in a Gnotobiotic Mouse Model. Front. Cell Infect. Microbiol. 2016, 6, 191. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  69. Ribet, D.; Cossart, P. How bacterial pathogens colonize their hosts and invade deeper tissues. Microbes Infect. 2015, 17, 173–183. [Google Scholar] [CrossRef]
  70. Blum, W.E.H.; Zechmeister-Boltenstern, S.; Keiblinger, K.M. Does Soil Contribute to the Human Gut Microbiome? Microorganisms 2019, 7, 287. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  71. Martinez, I.; Stegen, J.C.; Maldonado-Gomez, M.X.; Eren, A.M.; Siba, P.M.; Greenhill, A.R.; Walter, J. The gut microbiota of rural papua new guineans: Composition, diversity patterns, and ecological processes. Cell Rep. 2015, 11, 527–538. [Google Scholar] [CrossRef] [Green Version]
  72. Sonnenburg, J.L.; Sonnenburg, E.D. Vulnerability of the industrialized microbiota. Science 2019, 366, eaaw9255. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  73. Hanski, I.; von Hertzen, L.; Fyhrquist, N.; Koskinen, K.; Torppa, K.; Laatikainen, T.; Karisola, P.; Auvinen, P.; Paulin, L.; Mäkelä, M.J.; et al. Environmental biodiversity, human microbiota, and allergy are interrelated. Proc. Natl. Acad. Sci. USA 2012, 109, 8334–8339. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  74. Zhou, D.; Zhang, H.; Bai, Z.; Zhang, A.; Bai, F.; Luo, X.; Hou, Y.; Ding, X.; Sun, B.; Sun, X.; et al. Exposure to soil, house dust and decaying plants increases gut microbial diversity and decreases serum immunoglobulin E levels in BALB/c mice. Environ. Microbiol. 2016, 18, 1326–1337. [Google Scholar] [CrossRef] [PubMed]
  75. Khanna, S.; Baddour, L.M.; Huskins, W.C.; Kammer, P.P.; Faubion, W.A.; Zinsmeister, A.R.; Harmsen, W.S.; Pardi, D.S. The epidemiology of Clostridium difficile infection in children: A population-based study. Clin. Infect. Dis. 2013, 56, 1401–1406. [Google Scholar] [CrossRef] [Green Version]
  76. Lessa, F.C.; Mu, Y.; Bamberg, W.M.; Beldavs, Z.G.; Dumyati, G.K.; Dunn, J.R.; Farley, M.M.; Holzbauer, S.M.; Meek, J.I.; Phipps, E.C.; et al. Burden of Clostridium difficile infection in the United States. N. Engl. J. Med. 2015, 372, 825–834. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  77. Kumar, N.; Browne, H.P.; Viciani, E.; Forster, S.C.; Clare, S.; Harcourt, K.; Stares, M.D.; Dougan, G.; Fairley, D.J.; Roberts, P.; et al. Adaptation of host transmission cycle during Clostridium difficile speciation. Nat. Genet. 2019, 51, 1315–1320. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  78. Collins, J.; Robinson, C.; Danhof, H.; Knetsch, C.W.; van Leeuwen, H.C.; Lawley, T.D.; Auchtung, J.M.; Britton, R.A. Dietary trehalose enhances virulence of epidemic Clostridium difficile. Nature 2018, 553, 291–294. [Google Scholar] [CrossRef] [PubMed]
  79. Granato, E.T.; Meiller-Legrand, T.A.; Foster, K.R. The Evolution and Ecology of Bacterial Warfare. Curr. Biol. 2019, 29, R521–R537. [Google Scholar] [CrossRef]
  80. La Ragione, R.M.; Woodward, M.J. Competitive exclusion by Bacillus subtilis spores of Salmonella enterica serotype Enteritidis and Clostridium perfringens in young chickens. Vet. Microbiol. 2003, 94, 245–256. [Google Scholar] [CrossRef]
  81. Wust, J.; Sullivan, N.M.; Hardegger, U.; Wilkins, T.D. Investigation of an outbreak of antibiotic-associated colitis by various typing methods. J. Clin. Microbiol. 1982, 16, 1096–1101. [Google Scholar] [CrossRef]
  82. Fort, P.; Errington, J. Nucleotide sequence and complementation analysis of a polycistronic sporulation operon, spoVA, in Bacillus subtilis. J. Gen. Microbiol. 1985, 131, 1091–1105. [Google Scholar] [CrossRef] [Green Version]
  83. Vehmaanpera, J. Transformation of Bacillus amyloliquefaciens protoplasts with plasmid DNA. FEMS Microbiol. Lett. 1988, 49, 101–105. [Google Scholar]
Figure 1. C. difficile colonization is inversely correlated with the acquisition of environmental Bacillus. (A) C. difficile colonization in piglets decreased following environmental exposure after birth. Fecal samples of neonatal piglets were collected during days 1–13 following birth. C. difficile (red circles) and Bacillus spores (black circles) were enumerated from the same fecal sample, from each individual piglet. A statistically significant negative correlation (Spearman’s rank-order) was observed between counts of C. difficile and Bacillus spores in pig fecal samples (rs = −0.5464, p = 0.0127). A significant correlation also existed between days passed for both Bacillus (rs = 0.9270, p = 0.0001), and C. difficile counts (rs = −0.5138, p = 0.0205). The average for each sample from two CFU measurements was used; (B) Mice habituating in ‘super clean’ conditions were more susceptible to clindamycin-induced C. difficile colonization than ‘conventionally caged’ mice. Mice (n = 5/gp) kept in ‘super clean’ (IVC; sterile food, water and bedding) or ‘conventional cages’ (CC; non-sterile food, water and bedding) for 1 year were challenged with CD630 after dosing with various concentrations of clindamycin. Colonized animals were confirmed by enumerating ethanol-resistant C. difficile in cecum 24 h post-challenge. Mice with counts >103 CFU/g were considered colonized. The IC50 of IVC (‘super clean’) and CC mice were 0.8 mg/kg and 2.0 mg/kg, respectively; (C) Bacillus spores were absent in fecal samples of ‘Super clean’ mice. Fecal samples were collected before the challenge study (panel B), heated at 65 °C for 45 min., dilutions plated on LB and enumerated after incubation for 2 days at 37 °C. Significance calculated using an unpaired t-test. ****, p < 0.0001.
Figure 1. C. difficile colonization is inversely correlated with the acquisition of environmental Bacillus. (A) C. difficile colonization in piglets decreased following environmental exposure after birth. Fecal samples of neonatal piglets were collected during days 1–13 following birth. C. difficile (red circles) and Bacillus spores (black circles) were enumerated from the same fecal sample, from each individual piglet. A statistically significant negative correlation (Spearman’s rank-order) was observed between counts of C. difficile and Bacillus spores in pig fecal samples (rs = −0.5464, p = 0.0127). A significant correlation also existed between days passed for both Bacillus (rs = 0.9270, p = 0.0001), and C. difficile counts (rs = −0.5138, p = 0.0205). The average for each sample from two CFU measurements was used; (B) Mice habituating in ‘super clean’ conditions were more susceptible to clindamycin-induced C. difficile colonization than ‘conventionally caged’ mice. Mice (n = 5/gp) kept in ‘super clean’ (IVC; sterile food, water and bedding) or ‘conventional cages’ (CC; non-sterile food, water and bedding) for 1 year were challenged with CD630 after dosing with various concentrations of clindamycin. Colonized animals were confirmed by enumerating ethanol-resistant C. difficile in cecum 24 h post-challenge. Mice with counts >103 CFU/g were considered colonized. The IC50 of IVC (‘super clean’) and CC mice were 0.8 mg/kg and 2.0 mg/kg, respectively; (C) Bacillus spores were absent in fecal samples of ‘Super clean’ mice. Fecal samples were collected before the challenge study (panel B), heated at 65 °C for 45 min., dilutions plated on LB and enumerated after incubation for 2 days at 37 °C. Significance calculated using an unpaired t-test. ****, p < 0.0001.
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Figure 2. Bacillus-produced heterogenous lipopeptide lytic micelles (HELM) particles kill C. difficile. (AC), SEC fractions from strains of three ‘active’ strains of Bacillus: B. velezensis strain Bv297 (A); B. licheniformis strain Bl130 (B) and B. subtilis strain Bs140 (C), were examined by RP-HPLC (orange line). Loading was normalized according to volume of initial culture supernatant. All strains showed inhibitory activity to CD630. Bv297 (A) and Bs140 (C) were human-derived (Supplementary Table S1) while Bl130 (B) was obtained from mouse faeces. The RP-HPLC profile of iturins (I), fengycins (F) and surfactins (S) are indicated and the Bv277 profile (blue line) is shown for comparison. Bl130 showed detectable levels of fengycin and iturin using MALDI-TOF analysis (data not shown); (D) HELM particles were analyzed by DLS. Analysis of the Bv277 active SEC fraction revealed the presence of a monodisperse population of micelles with an average diameter of 6.8 ± 0.16 nm (PDI = 0.18). Data points are the average of three measurements with error bars representing the standard error; (E,F), HELM bacteriolytic activity against CD630. The inhibitory activity to CD630 was determined using measurement of OD600 (E) or viable CFU (F) before and after addition (arrow) of HELM+ (Bv277) culture supernatant ( Biomedicines 10 00930 i001), HELM (srfAA-) culture supernatant ( Biomedicines 10 00930 i002), HELM+ (Bv277) SEC-fractionated ‘active’ fraction ( Biomedicines 10 00930 i003) and untreated (PBS) ( Biomedicines 10 00930 i004).
Figure 2. Bacillus-produced heterogenous lipopeptide lytic micelles (HELM) particles kill C. difficile. (AC), SEC fractions from strains of three ‘active’ strains of Bacillus: B. velezensis strain Bv297 (A); B. licheniformis strain Bl130 (B) and B. subtilis strain Bs140 (C), were examined by RP-HPLC (orange line). Loading was normalized according to volume of initial culture supernatant. All strains showed inhibitory activity to CD630. Bv297 (A) and Bs140 (C) were human-derived (Supplementary Table S1) while Bl130 (B) was obtained from mouse faeces. The RP-HPLC profile of iturins (I), fengycins (F) and surfactins (S) are indicated and the Bv277 profile (blue line) is shown for comparison. Bl130 showed detectable levels of fengycin and iturin using MALDI-TOF analysis (data not shown); (D) HELM particles were analyzed by DLS. Analysis of the Bv277 active SEC fraction revealed the presence of a monodisperse population of micelles with an average diameter of 6.8 ± 0.16 nm (PDI = 0.18). Data points are the average of three measurements with error bars representing the standard error; (E,F), HELM bacteriolytic activity against CD630. The inhibitory activity to CD630 was determined using measurement of OD600 (E) or viable CFU (F) before and after addition (arrow) of HELM+ (Bv277) culture supernatant ( Biomedicines 10 00930 i001), HELM (srfAA-) culture supernatant ( Biomedicines 10 00930 i002), HELM+ (Bv277) SEC-fractionated ‘active’ fraction ( Biomedicines 10 00930 i003) and untreated (PBS) ( Biomedicines 10 00930 i004).
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Figure 3. Detection of HELMs in the SI. Panel A, MALDI-TOF analysis of 30 collected individual fractions following RP-HPLC analysis of pooled SI contents from naive mice (n = 3) (Supplementary Figure S5). Lipopeptides were identified in four fractions and representative mass spectra (colored arrows) are shown (B,C); (B) Representative MALDI-TOF spectra of an individual fraction (green arrow in A) containing iturins (highlighted in green). Displayed is a zoomed in mass spectrum of the detected C16IturinA/C16Mycosubtilin/C15BacillomycinF; (C) Representative MALDI-TOF spectra of an individual fraction (red arrow in A) containing surfactins (red) and fengycins (black). Displayed is a zoomed in mass spectrum of the detected surfactins (C12 to C15). Light blue color shows unidentified masses.
Figure 3. Detection of HELMs in the SI. Panel A, MALDI-TOF analysis of 30 collected individual fractions following RP-HPLC analysis of pooled SI contents from naive mice (n = 3) (Supplementary Figure S5). Lipopeptides were identified in four fractions and representative mass spectra (colored arrows) are shown (B,C); (B) Representative MALDI-TOF spectra of an individual fraction (green arrow in A) containing iturins (highlighted in green). Displayed is a zoomed in mass spectrum of the detected C16IturinA/C16Mycosubtilin/C15BacillomycinF; (C) Representative MALDI-TOF spectra of an individual fraction (red arrow in A) containing surfactins (red) and fengycins (black). Displayed is a zoomed in mass spectrum of the detected surfactins (C12 to C15). Light blue color shows unidentified masses.
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Figure 4. HELMs in the SI can inhibit C. difficile. Ex vivo analysis revealed CD630 inhibitory activity in the SI-extract of naïve and HELM+ (Bv277)-dosed mice. CD630 inhibitory activity was determined using methanol extracts taken from the SI contents of mice (n = 3) with or without clindamycin treatment (Clin and Naive). The contents were taken from the SI of mice treated with clindamycin followed by oral dosing with spores (2 × 109 CFU) of HELM+ (Bv277) or HELM (srfAA-). The experiment was performed twice independently. Error bars represent standard deviation.
Figure 4. HELMs in the SI can inhibit C. difficile. Ex vivo analysis revealed CD630 inhibitory activity in the SI-extract of naïve and HELM+ (Bv277)-dosed mice. CD630 inhibitory activity was determined using methanol extracts taken from the SI contents of mice (n = 3) with or without clindamycin treatment (Clin and Naive). The contents were taken from the SI of mice treated with clindamycin followed by oral dosing with spores (2 × 109 CFU) of HELM+ (Bv277) or HELM (srfAA-). The experiment was performed twice independently. Error bars represent standard deviation.
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Figure 5. HELMs synergize with secondary bile acids. (A) HELMs synergize with SI extracts taken from mice. A sterile, cell-free Bv277 supernatant was incubated (3 h, RT) 1:1 with: PBS (HELMs) or methanol extracts in saline (1/3, w/v) taken from a naïve mouse SI (HELMs + SI) or SI taken from a mouse treated 24 h previously with 30 mg/kg clindamycin (HELMs + SI-Clin). The mixtures were serially diluted and inhibitory activity to CD630 was measured using the microdilution assay. At the dilution factors used in this experiment no activity was observed with the SI or SI-Clin extract only. The experiment was performed twice independently. Error bars represent standard deviation; (B,C), HELMs synergize with deoxycholate. Various dilutions of a sterile, cell-free Bv277 supernatant (containing 1 to 4 μg/mL HELMs) were mixed with different concentrations (50–400 μM) of secondary bile acid deoxycholate (DOC) (B) or primary bile acid cholate (CA) (C) and added to mid-logarithmic cultures of CD630 and incubated for 5 h at 37 °C. OD readings (600 nm) were taken, and relative growth determined as the percentage increase in OD600 from the time of addition of samples to CD630 culture. The experiment was performed twice independently. Error bars represent standard deviation. Significance calculated using an unpaired t-test. *, p < 0.05, **, p < 0.01, ***, p < 0.001, ****, p < 0.0001.
Figure 5. HELMs synergize with secondary bile acids. (A) HELMs synergize with SI extracts taken from mice. A sterile, cell-free Bv277 supernatant was incubated (3 h, RT) 1:1 with: PBS (HELMs) or methanol extracts in saline (1/3, w/v) taken from a naïve mouse SI (HELMs + SI) or SI taken from a mouse treated 24 h previously with 30 mg/kg clindamycin (HELMs + SI-Clin). The mixtures were serially diluted and inhibitory activity to CD630 was measured using the microdilution assay. At the dilution factors used in this experiment no activity was observed with the SI or SI-Clin extract only. The experiment was performed twice independently. Error bars represent standard deviation; (B,C), HELMs synergize with deoxycholate. Various dilutions of a sterile, cell-free Bv277 supernatant (containing 1 to 4 μg/mL HELMs) were mixed with different concentrations (50–400 μM) of secondary bile acid deoxycholate (DOC) (B) or primary bile acid cholate (CA) (C) and added to mid-logarithmic cultures of CD630 and incubated for 5 h at 37 °C. OD readings (600 nm) were taken, and relative growth determined as the percentage increase in OD600 from the time of addition of samples to CD630 culture. The experiment was performed twice independently. Error bars represent standard deviation. Significance calculated using an unpaired t-test. *, p < 0.05, **, p < 0.01, ***, p < 0.001, ****, p < 0.0001.
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Figure 6. Exclusion of C. difficile colonization by HELM-producing Bacillus. (A,B) Bv-HELM+ spores inhibit C. difficile colonization in a dose-dependent manner using a microbiota depletion model. Mice (n = 6/gp) were treated with an antibiotic cocktail for 7 days, followed by a ‘washout’ period of 2 days before being challenged with 103 CD630 spores. Mice were dosed three times daily with spores of either 107, 106, 105, 104 or 103 CFU/dose of HELM+ (Bv277), HELM (srfAA-) or PBS (naïve) during the two washout days and on the day of challenge. At 24 h post-challenge, ceca were removed for analysis of levels of ethanol-resistant spore counts (A) and toxin A (Supplementary Figure S7A). The percentage of colonized animals was calculated as the proportion of mice within each group with C. difficile spores (>103 CFU/g) and toxin present within the ceca (B). Significance was calculated using an unpaired t-test. *, p < 0.05; (C) Bv-HELM+ spores inhibit C. difficile colonization in a hamster clindamycin model. Golden Syrian hamsters were administered clindamycin and 13 h later dosed 3-times/day (6 h intervals) orally (i.g.) with ~2 × 109 CFU/dose of HELM+ (Bv277), HELM (Bv378) or the cell-free supernatant of HELM+ (2 mL/dose) until study end. At 72 h post-clindamycin treatment animals were challenged with 102 spores of CD630. Animal survival is shown and toxin and CFU analysis is shown in Supplementary Figure S6A,B. Significance was tested with the log-rank (Mantel–Cox) test. **, p < 0.01.
Figure 6. Exclusion of C. difficile colonization by HELM-producing Bacillus. (A,B) Bv-HELM+ spores inhibit C. difficile colonization in a dose-dependent manner using a microbiota depletion model. Mice (n = 6/gp) were treated with an antibiotic cocktail for 7 days, followed by a ‘washout’ period of 2 days before being challenged with 103 CD630 spores. Mice were dosed three times daily with spores of either 107, 106, 105, 104 or 103 CFU/dose of HELM+ (Bv277), HELM (srfAA-) or PBS (naïve) during the two washout days and on the day of challenge. At 24 h post-challenge, ceca were removed for analysis of levels of ethanol-resistant spore counts (A) and toxin A (Supplementary Figure S7A). The percentage of colonized animals was calculated as the proportion of mice within each group with C. difficile spores (>103 CFU/g) and toxin present within the ceca (B). Significance was calculated using an unpaired t-test. *, p < 0.05; (C) Bv-HELM+ spores inhibit C. difficile colonization in a hamster clindamycin model. Golden Syrian hamsters were administered clindamycin and 13 h later dosed 3-times/day (6 h intervals) orally (i.g.) with ~2 × 109 CFU/dose of HELM+ (Bv277), HELM (Bv378) or the cell-free supernatant of HELM+ (2 mL/dose) until study end. At 72 h post-clindamycin treatment animals were challenged with 102 spores of CD630. Animal survival is shown and toxin and CFU analysis is shown in Supplementary Figure S6A,B. Significance was tested with the log-rank (Mantel–Cox) test. **, p < 0.01.
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Ferreira, W.T.; Hong, H.A.; Adams, J.R.G.; Hess, M.; Kotowicz, N.K.; Tan, S.; Ferrari, E.; Brisson, A.; Zentek, J.; Soloviev, M.; et al. Environmentally Acquired Bacillus and Their Role in C. difficile Colonization Resistance. Biomedicines 2022, 10, 930. https://doi.org/10.3390/biomedicines10050930

AMA Style

Ferreira WT, Hong HA, Adams JRG, Hess M, Kotowicz NK, Tan S, Ferrari E, Brisson A, Zentek J, Soloviev M, et al. Environmentally Acquired Bacillus and Their Role in C. difficile Colonization Resistance. Biomedicines. 2022; 10(5):930. https://doi.org/10.3390/biomedicines10050930

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Ferreira, William T., Huynh A. Hong, James R. G. Adams, Mateusz Hess, Natalia K. Kotowicz, Sisareuth Tan, Enrico Ferrari, Alain Brisson, Jurgen Zentek, Mikhail Soloviev, and et al. 2022. "Environmentally Acquired Bacillus and Their Role in C. difficile Colonization Resistance" Biomedicines 10, no. 5: 930. https://doi.org/10.3390/biomedicines10050930

APA Style

Ferreira, W. T., Hong, H. A., Adams, J. R. G., Hess, M., Kotowicz, N. K., Tan, S., Ferrari, E., Brisson, A., Zentek, J., Soloviev, M., & Cutting, S. M. (2022). Environmentally Acquired Bacillus and Their Role in C. difficile Colonization Resistance. Biomedicines, 10(5), 930. https://doi.org/10.3390/biomedicines10050930

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