Introduction
Interactions between phages and their bacterial hosts are significantly influenced by a range of environmental factors, including physical and chemical conditions [
1,
2], nutrient availability [
3,
4], the presence of other organisms, and various polymers produced by these organisms [
5]. Recent studies have shown that phages can become trapped within the extracellular matrix of bacterial biofilms, which can act as a barrier to phage infection [
5‐
7]. Earlier research has suggested that the mucus layer – a dynamic and complex environment composed of glycoproteins, immune factors, and microbial communities – plays a substantial role in host-phage interactions [
8].
Mucus lines the surfaces of many organs and tissues in the body, and it is predominantly composed of mucins, which are high-molecular-weight glycoproteins that have diverse functions, including protection against pathogens and toxins and modulation of cell signaling [
9]. Mucins also interact with microorganisms by providing attachment sites or inhibiting their growth or virulence [
10].
In 2013, Barr et al. introduced the Bacteriophage Adherence to Mucus (BAM) model [
8]. This model examines how phages interact with mucin, showing an increased phage-to-bacteria ratio on various mucosal surfaces from cnidarians to humans. The increased adherence of phages to mucus protects underlying tissue from bacterial infection by facilitating phage infection of mucosal bacteria, thus providing a form of non-host-derived immunity. Research has focused on the binding of mucin glycoproteins and Ig-like protein domains on phage capsids [
8]. Initially focused on
E. coli phage T4, subsequent research studies have extended the BAM model’s applicability to diverse phages such as
Flavobacterium columnare phage FCL-2,
Aeromonas sp. phage V46,
Flavobacterium sp. phage FL-1, and
Pseudomonas aeruginosa phages GEC_MRC, GEC_K2, and GEC_PNG3. These phages also contain Ig-like domains on their capsids [
11,
12]. On the other hand, it has been shown that
E. coli phage ES17 can adhere to mucin through its tail fiber protein [
13]. While most studies have focused on phages targeting Gram-negative pathogens, evidence suggests that mucin promotes phage adherence across a broad range of phages with diverse structural components [
11‐
14].
Mucin has also been shown to enhance the adherence of certain bacteria [
15]. However, its effects on phage-host interaction of different species, such as probiotics and pathogens, which could potentially coexist within a eukaryotic host, have not been compared directly. As a first step toward a better understanding of the ability of the mucin environment to modulate bacterial multispecies communities, we focused on two unrelated species with contrasting biomedical relevance: the probiotic
Bacillus subtilis and the pathogenic
Vibrio anguillarum.
B. subtilis is an example of a beneficial Gram-positive bacterium that can be found in various environments, such as food, soil, and animal gut, where it is also used as a probiotic [
16].
V. anguillarum is an important fish-pathogenic, Gram-negative bacterium that is found in marine environments and causes vibriosis [
17], a major disease that causes problems in aquaculture facilities [
18].
Prior studies have demonstrated that certain strains of
B. subtilis can adhere to epithelial colon tissue Caco-2 cells, while none of the tested strains could attach to the cell line HT29-16E, which displays differentiation features that are characteristic of mature intestinal cells. Notably, HT29-16E cells are mucin-producing cells, while Caco-2 cells are not significant producers of mucin [
19‐
21]. Zhang et al. [
22] conducted a study that demonstrated the ability of
B. subtilis to adhere to isolated tilapia intestinal mucus in an
in vitro setting. Another research investigation has demonstrated strain-specific differences in the ability of
B. subtilis to adhere to mucin [
23]. Other studies have shown that
V. anguillarum has ability to adhere to mucus isolated from fish [
24,
25]. However, to our knowledge, direct adherence of
V. anguillarum to mucins
in vitro has not been studied so far.
In the current study, we found that phages specific for both species exhibited increased adherence to mucin when compared to control surfaces. Furthermore, their bacterial hosts, B. subtilis and V. anguillarum, also showed increased adherence to mucin when compared to control surfaces. Our findings further showed that mucin exerts distinct effects on phage-host interactions and metabolic activity during surface attachment of these two bacterial species. While mucin generally influences phage and bacterial adherence to surfaces, our results underscore the importance of examining its effects on each specific phage-host interaction individually.
Materials and methods
Bacterial strains, phage stocks, and growth conditions
B. subtilis strain Δ6 (accession number NZ_CP015975.1) [
26] was used as an indicator strain in all phage adherence experiments.
B. subtilis strain P9_B1 (accession number CP045811.1) [
27] or its fluorescently labeled derivative
B. subtilis P9_B1
amyE::
gfp were used in bacterial attachment assays [
28].
V. anguillarum strain PF430-3 (accession number NZ_CP011467) [
6,
29] was used in all
V. anguillarum experiments. The following phages were used where indicated:
B. subtilis lytic phage Nf (accession number NC_049976) [Shimizu et al., 1970],
B. subtilis lytic phage SP-10 (accession number NC_019487) [
30],
B. subtilis temperate phage SPβ (accession number NC_000964) [
31], and
V. anguillarum lytic phage KVP40 (accession number AY283928) [
32].
B. subtilis strains were maintained in lysogeny broth (LB) (LB (Lennox), Laboratorios Conda; 5 g/L yeast extract, 10 g/L tryptone, 5 g/L NaCl, dH2O) at 37°C with shaking at 220 rpm. V. anguillarum was maintained in marine broth (MB) (5 g/L peptone [Sigma-Aldrich], 1 g/L yeast extract [Sigma-Aldrich], 20 g/L NaCl [Sigma-Aldrich], dH2O) for 24 hours at 30 °C with shaking at 220 rpm.
Phages were propagated using a mid-log-phase culture of either B. subtilis Δ6 in LB broth or V. anguillarum in MB medium. A 50-mL aliquot of host culture was inoculated with phage stock at a multiplicity of infection (MOI) of 10. The mixture was incubated at 37 °C for B. subtilis or 30 °C for V. anguillarum with shaking at 220 rpm for 16 hours. Lysates were centrifuged at 8000 x g for 15 minutes to remove cellular debris and then passed through a 0.22-μm sterile filter to obtain a cell-free phage lysate, which was then stored at 4°C.
Phage adherence to mucin assay
The phage adherence to mucin assay was performed as described previously [
14]. Briefly, LB agar (LB agar (Lennox), Laboratorios Conda; 5 g/L yeast extract, 10 g/L tryptone, 5 g/L NaCl, 15 g/L bacteriological agar, dH
2O) or marine broth (MB) agar plates (5 g/L peptone [Sigma-Aldrich], 1g/L yeast extract [Sigma-Aldrich], 20 g/L NaCl [Sigma-Aldrich], and 15 g/L agar [Sigma-Aldrich]) were coated with either 1 mL of 1% (w/v) type III porcine stomach mucin (Sigma-Aldrich) in 1X phosphate-buffered saline (PBS) or 1 mL of 1% (w/v) bovine serum albumin (BSA) (Sigma-Aldrich) in 1X PBS and then left at room temperature until the liquid was no longer visible. Some plates were left uncoated. Stocks of phages were serially diluted in LB to a concentration of 10
2 PFU/mL. Next, 5-mL aliquots of diluted phage stocks were transferred to the coated and uncoated plates, which were then incubated for 1 hour at 37 °C on an orbital shaker at 25 rpm. Afterwards, the phage suspensions were decanted from the plates, and the plates were covered with 100 µL of exponentially growing
B. subtilis Δ6 or
V. anguillarum PF430-3 resuspended in soft LB agar (5 g/L yeast extract, 10 g/L tryptone, 5 g/L NaCl, 3 g/L agar, dH
2O) or soft MB agar (5 g/L peptone [Sigma-Aldrich], 1 g/L yeast extract [Sigma-Aldrich], 20 g/L NaCl [Sigma-Aldrich], and 3 g/L agar [Sigma-Aldrich]). The plates were then incubated overnight at 28 °C, and the plaques were counted the next day. The number of phages that adhered to mucin was calculated using the dilution factor.
We used type III porcine stomach mucin (Sigma-Aldrich) due to its standardized production process, ensuring consistency across experiments. This mucin type is also widely available and cost-effective, making it a commonly used choice for
in vitro studies. It has been used previously in research examining phage and bacterial interactions with mucins [
14].
Bacterial adherence to mucin assay
The effect of mucin on B. subtilis cell attachment was quantified by both confocal laser scanning microscopy and flow cytometry, whereas counting of attached V. anguillarum cells was performed by flow cytometry only. The effect of phages on bacterial attachment was also tested using flow cytometry.
Confocal laser scanning microscopy
Prior to imaging, 1.5% agar plates (Agar, Laboratorios Conda; 15 g/L agar, dH
2O) were coated with either 1 mL of 1% w/v porcine stomach mucin type III in 1x PBS or 1 mL of 1% w/v BSA in 1x PBS and then allowed to dry. Some of the plates were left uncoated.
B. subtilis P9_B1
amyE::
gfp cultures were incubated in LBGM (5 g/L yeast extract, 10 g/L tryptone, 5 g/L NaCl, 10 mL/L 100% glycerol [Sigma-Aldrich], 1 mL/L MnSO
4 [stock concentration 100 mM, Sigma-Aldrich], dH
2O) for 24 hours at 37 °C with shaking at 220 rpm and then diluted by a factor of 10. Next, 5-mL aliquots of this diluted culture were transferred to mucin-coated and uncoated plates, which were then incubated for 1 hour at 37 °C on an orbital shaker at 25 rpm. Afterwards, the bacterial suspensions were decanted from the plates, followed by two washing steps with 5 mL of 1x PBS. The plates were dried, and a piece of agar from the center of each plate was cut out and placed upside down on a glass microscope slide. Finally, the samples were visualized using an inverted confocal laser scanning microscope (AxioObserver Z1, LSM800) (Zeiss) using a 20×/0.4 EC Plan-Neofluar objective. Transmitted light was acquired simultaneously with the fluorescent confocal channel using T-PMT and GaAsP PMT, respectively. The settings used for imaging were as follows: green fluorescence laser wavelength, 488 nm; power, 1%; pinhole size, 1.76 AU/84 μm; detector gain, 750 V; image size (pixels), 1073 px × 1073 px; pixel time, 1.97 μs. The images were analyzed using Fiji (ImageJ) software [
33] (
https://imagej.net/software/fiji/). Attached cells visible in recorded images were counted using a recorded macro (Supplemental file 1) with the “Adjust Threshold” and “Analyze Particles” functions. The experiment was performed in triplicate, with five technical replicates for each surface (five captured images per agar surface). The surface area visualized in each image was 0.1 mm
2. The number of cells was multiplied by 418.5 to obtain the number of cells per 41.85 mm
2, which was the surface area used for cell counting using the flow cytometer in the protocol below.
Flow cytometry
Prior to flow cytometry experiments, 1.5% agar plates were coated with 1 mL of 1% w/v porcine stomach mucin type III in 1x PBS, 1 mL of 107 PFU/mL phage suspension (Nf or KVP40), or 1 mL of 1x PBS and then allowed to dry. Next, 5 mL of phage suspension (Nf for B. subtilis or KVP40 for V. anguillarum) with a titer of ~107 was transferred to the mucin-coated plates, which were then incubated for 1 hour at 37 °C on an orbital shaker at 25 rpm, and the phage suspensions were decanted from these plates.
B. subtilis P9_B1 cultures were incubated in LBGM for 24 hours at 37 °C with shaking at 220 rpm, and V. anguillarum PF430-3 cultures were incubated in marine broth (MB) (5 g/L peptone [Sigma-Aldrich], 1 g/L yeast extract [Sigma-Aldrich], 20 g/L NaCl [Sigma-Aldrich]) for 24 hours at 30 °C with shaking at 220 rpm. Both cultures were then diluted by a factor of 10. Next, 5-mL aliquots of the diluted B. subtilis and V. anguillarum cultures were transferred to the coated and uncoated plates, which were then incubated for 6 hours at 37 °C (B. subtilis) or 30 °C (V. anguillarum) on an orbital shaker at 25 rpm. Afterwards, the bacterial suspensions were decanted from the plates, followed by two washing steps with 1x PBS. The plates were dried, and a piece of agar was cut out of each plate using the top end of a pipette tip.
The diameter of the top end of the pipette tip is 7.3 mm, so the cut surface area was calculated to be 41.85 mm2. The piece of agar was then transferred to a microcentrifuge tube containing 1 mL of saline solution, and after mixing on a vortex stirrer for 15 seconds, and the bacterial cells were detached from the agar pieces by sonication three times for 15 seconds each in an ultrasonic bath with intermittent mixing on a vortex stirrer. The tubes were then centrifuged for 15 minutes at 800 × g. As a result, the agar, which had been broken down during ultrasonication, formed a pellet at the bottom, while some of the cells remained in the supernatant. The supernatant was carefully transferred to new microcentrifuge tubes, and 10 μL of 25% glutaraldehyde (Sigma-Aldrich) was added to these tubes to fix the cells in the solution.
Fixed cells were counted using a flow cytometer (BD Biosciences) as follows: 50 μL of the fixed cell suspension was diluted in 450 μL of 1X TE buffer (Tris-EDTA; 1 mL 10x Tris-EDTA [Sigma-Aldrich], and 99 mL dH
2O), after which 5 μL of SYBR Gold stain (Thermo Fisher Scientific) was added. The mixture was then incubated for 10 minutes at room temperature and analyzed using a FACS Melody flow cytometer (Becton Dickinson). Apart from the fixed cells, an overnight bacterial culture was used, which was also diluted in 1X TE buffer and stained as a positive control, and the same culture was left unstained as a negative control. To enable quantitation of the cells, AccuCheck Counting Beads (Thermo Fisher Scientific) were also diluted and analyzed using the same procedure as for the cells. All of the samples were analyzed for 30 seconds at a flow rate of 100, using a blue laser with a wavelength of 488 nm. The bandpass filter used was 527/32, and the long-pass filter used was 507 LP. The data were then processed using FlowJo software (
https://www.flowjo.com/), and number of cells per area was calculated using formula “Number of cells/Cut surface area = A/C x B/D”, where A is the concentration of the beads in the counting beads standard, B is the number of events detected for the sample, C is the number of events detected for the counting beads standard, and D is the final dilution factor of the cells.
Graphs were created by plotting the logarithm of the forward scatter (FSC) values on the y-axis and the logarithm of the green fluorescence intensity on the x-axis. Positive and negative controls (stained and unstained bacterial cultures, respectively) were used to select the portion of the plot for counting. Each of the B. subtilis samples was analyzed in three replicates, while V. anguillarum samples were analyzed in six replicates.
Oxygen consumption measurements
To measure the oxygen consumption rate of bacteria attached to different surfaces, the samples were prepared, and a piece of agar containing attached biofilm was cut out as described above. The samples were placed in a gas-tight vial with an optode patch mounted inside (Presens, Germany), and the vials were filled with either LB for
B. subtilis or MB for
V. anguillarum samples, leaving no air space. The vials and the media were pre-heated to 37 °C for
B. subtilis and 30 °C for
V. anguillarum. Then, the tubes were placed on a 24-channel oxygen meter (SensorDish reader SDR2, PreSens) [
34], which was mounted on a rotating table in an incubator at 37 °C for
B. subtilis and 30 °C for
V. anguillarum. For 20 hours, the oxygen concentration was measured every 15 seconds by excitation of the optodes after calibration with 100% and 0% oxygen. The data were collected by a connected computer using PreSens Measurement Studio 2 (
https://www.presens.de/products/detail/presens-measurement-studio-2). The data were then exported and analyzed in Microsoft Excel and OriginPro 2024 (
https://www.originlab.com/origin). The bacterial respiration rate was calculated from the slope of the initial linear decrease in oxygen concentration over time.
Colonization assay
To measure the colonization of fresh growth medium, samples were first prepared as described above, and after incubation in SDR SensorDish vials, the liquid content was diluted tenfold in saline solution (9 g/L NaCl) to a final volume of 1 mL. Subsequently, 10 μL of 25% glutaraldehyde was added for fixation, and 50 μL of the sample was mixed with 450 μL of TE buffer and stained with 5 μL of SYBR Gold stain. The stained samples were incubated at room temperature for 10 minutes, and cells were counted by flow cytometry as described above.
To identify potential Ig-like domains in the phage genome sequences used in this study, we used the PHROGS (Phage Orthologous Groups) database to identify genes encoding head and packaging proteins [
35], and the SMART web tool was used to identify Ig-like domains in the encoded proteins [
36].
Analysis of phage adherence to mucin
Nf phage adherence to mucin was assessed in three independent experiments, using six technical replicates per surface. Eighteen surfaces were examined over three days, each time with a fresh indicator strain, and the data from different days were normalized. SP10 phage adherence to mucin was assessed in two independent experiments, using five technical replicates per surface. SPꞵ phage adherence to mucin was assessed in two independent experiments, using 18 replicates in total. KVP40 phage adherence to mucin was assessed in one experiment using three replicates per surface. The number of attached phages was calculated for each experiment and presented using box plots, created in OriginPro 2024. In these plots, the whiskers represent 1.5 times the interquartile range, the midline represents the median, and the mean value is indicated by a triangle. In addition, the values obtained from all independent experiments were normalized to the maximum (within a single experiment), averaged, and combined in a single box plot chart.
Data on oxygen consumption were collected using PreSens Measurement Studio 2 software and visualized in Microsoft Excel. The amount of oxygen in the suspension (in μmol/L) was plotted on the y-axis, and time (minutes) was plotted on the x-axis. The area on the chart with the initial linear decline in the slope (oxygen amount), was selected and used for linear regression analysis to determine the oxygen consumption rate.
Statistical analysis
To compare differences between treatments (types of surfaces), a one-way analysis of variance (ANOVA) test was used, followed by the Tukey test. Box plots were created using OriginPro 2024.
Discussion
Our primary goal in this study was to examine the effect of mucins on adherence and interactions of phages and bacteria beyond the model systems tested in previous studies [
12,
14]. To achieve this, we applied a nearly identical experimental setup to compare the influence of mucin on two unrelated bacterial species, with contrasting medical significance, namely
Bacillus subtilis, a beneficial bacterium, and
Vibrio anguillarum, an important fish pathogen
.
Our study revealed that the
Bacillus and
Vibrio phages that were examined displayed significantly increased attachment to mucin-coated plates in comparison to uncoated LB agar plates and plates coated with BSA. However, for the
Vibrio phage KVP40, the amount of attachment was only significantly higher relative to BSA-coated plates (Fig.
1). This observation aligns with the findings of Barr et al. [2013], who found an increased attachment of
E. coli T4 phage to mucin using a similar assay. More-recent studies from different research groups have also shown that other phages can attach to mucin: for example,
E. coli phages ES17 and øPNJ-6,
Flavobacterium columnare phage FCL-2,
Aeromonas sp. phage V46,
Flavobacterium sp. phage FL-1, and
Pseudomonas aeruginosa phages GEC_MRC, GEC_K2, and GEC_PNG3. All of these phages, except ES17 contain Ig-like domains on their capsids [
11‐
13,
37].
The adhesion mechanism by which phages adhere to mucin was first attributed to the specific interaction occurring between the variable immunoglobulin Ig-like domains situated on the capsid of the phages and glycans on the surface of mucin [
14]. Phage phi29, a member of the phi29-like phage family related to phage Nf, has a bacterial Ig-like domain 2 (BID_2) in its major head protein [
38,
39], and bioinformatic analysis performed using the SMART web tool also showed the presence of a BID_2 domain in the major head protein of phage Nf [
36]. If BID_2 engages with glycan molecules to promote adhesion, this might clarify the lack of enhanced attachment to BSA, a protein without attached sugar molecules [
40].
On other hand, the fact that our bioinformatic screening did not identify any Ig-like domains in the SP10, SPβ, and KVP40 capsid proteins suggests that the increased attachment of these phages to mucin-coated surface involves other modes of interaction with mucin. It is worth noting that our bioinformatic approach did not account for Ig-like domains encoded in other reading frames, as reported previously [
38]. Future analyses incorporating frameshift-aware detection methods may provide further insights into the structural adaptations of these phages.
The ability of phages to adhere to mucins is likely to reflect adaptation to their specific host environments. Different mucins vary in their glycosylation patterns and structure, which may influence phage binding preferences. In this study, we used type III porcine stomach mucin, a well-characterized mucin type that is widely used in bacterial and phage interaction studies, to provide a standardized model for investigating these interactions
In the updated BAM model, it is proposed that the retention of phages in mucosal areas is associated with the mesh-like structure of mucin, which traps phages, rather than specific binding of Ig-like domains to mucin [
8]. However, it has been reported that commercial mucins may not fully recapitulate the physical properties of native mucins, including their structural organization, which raises the possibility that additional or alternative mechanisms may contribute to the observed phage attachment [
41]. BSA, which was used as a control in our study, is a globular protein that does not contain glycans and does not form a mesh under the conditions that we used, suggesting that it is the specific properties of mucin that enable phage attachment [
40,
42].
In line with previous studies [
22,
24], our results confirm that mucin enhances surface attachment of
B. subtilis and
V. anguillarum (Fig.
3).
B. subtilis and
V. anguillarum have been identified within a microenvironment proximal to mucosal surfaces [
19,
43].
Bacillus cereus, a relative of
B. subtilis, has been shown to adhere to mucin through a process that is facilitated by flagellin [
23]. The identification of a flagellin coding sequence in the genome of
B. subtilis P9_B1 suggests that its interaction with mucin could also be facilitated by flagellin [
27]. It has been shown that
B. subtilis, in addition to its capacity to bind to mucosal surfaces, shows a capability for competitive exclusion of specific pathogenic bacteria, such as enterotoxic
E. coli and
Pseudomonas spp. [
22,
44]. The presence of the flagellin A protein in
V. anguillarum has been shown by Milton et al. to be essential for its virulence [1996]. This protein probably plays a significant role in promoting the attachment of
V. anguillarum to mucus in the host and its subsequent entry into the host organism. The flagellin proteins are central components of the bacterial flagellum, a whip-like appendage that enables bacterial motility [
45]. The flagellum of pathogenic bacteria such as
V. anguillarum, might serve to anchor the bacterium to mucosal surfaces to initiate an infection. Furthermore, the expression of the
flaA gene, encoding flagellin A, has been shown to increase in the presence of mucin [
46].
Our results also suggest that mucin-coated surfaces have markedly different effects on the metabolic activity of the attached Bacillus subtilis and Vibrio anguillarum cells. These differences in metabolic activity may provide additional insight into the distinct effects mucins have on these bacterial species in the presence of phages, potentially influencing the outcomes of phage-host interactions.
The enhanced adherence of
V. anguillarum and
B. subtilis cells to mucin was also associated with an increased metabolic rate of
V. anguillarum, whereas
B. subtilis metabolism was not significantly affected by the presence of mucin. This difference may be related to fact that
V. anguillarum PF430-3 is a fish pathogen isolated from salmon skin and is likely to be adapted to mucin-rich environments [
47], whereas the
B. subtilis P9_B1 strain was isolated from soil where interaction with mucin is limited [
27]. The stimulation of oxygen consumption observed in mucin-associated
V. anguillarum biofilms could potentially also be ascribed to the differences in biofilm formation by the two bacteria:
V. anguillarum mainly develop in submerged biofilms, as opposed to the preference of
B. subtilis for pellicle formation in the water-air interface [
46,
48‐
52], which is not available in the oxygen sensor vials during oxygen measurements. Another possible explanation could be formation of metabolically dormant spores by certain subpopulations of
B. subtilis. These spores would then require and consume much less oxygen compared to
V. anguillarum cells, which cannot sporulate [
53].
Importantly, the effect of mucin on attachment persisted in the case of
B. subtilis, even in the presence of phages on the mucin-coated surface. However, this effect was not observed with
V. anguillarum, where phage lysis of cells on the phage-coated surfaces likely negated the positive effect of mucin on host attachment. Our observation that some bacterial cells exposed to mucin did not exhibit a fluorescent signal (Fig.
2C) suggests that mucin could either alter cell metabolic activity or physically coat the bacterial surface, potentially obscuring the fluorescence signal. This finding aligns with previous reports that mucin can modulate bacterial physiology and virulence and influence phage-host interactions [
9,
10,
12]. This was not the case for
V. anguillarum, where mucin did not affect phage-host interactions. However,
V. anguillarum PF430-3 has previously been shown to be protected from phage KVP40 infections inside bacterial aggregates/biofilms in the absence of mucin [
6].
So far, the recognition receptor for phage Nf has not been identified. A significant proportion of phages that infect Gram-positive bacteria recognize carbohydrates connected through covalent bonds to the peptidoglycan cell wall [
54‐
56]. It is therefore possible that phage Nf recognizes glycan residues present on mucin in a similar manner.
In contrast to
B. subtilis, mucin did not influence the effect of phage on
V. anguillarum. This could be attributed to the fact that phage KVP40 uses the outer membrane protein OmpK as a receptor. Unlike mucin, OmpK lacks glycosylated components and differs significantly in structure [
57]. Similarly, it has been reported that
E. coli is also not shielded by mucin in this tripartite interaction [
37].
Almeida et al. [
11] demonstrated that supplementation of the culture medium used to grow the fish pathogen
F. columnare with primary mucus from rainbow trout resulted in alterations in bacterial phenotypic traits and increased the susceptibility of the bacterium to phage infection while at the same time increasing its virulence to the fish. This finding, together with our results, underlines the importance of studying each phage-host interaction in mucosal areas separately and emphasizes that different phages and bacteria interact with mucin in different ways.
It will thus be necessary to examine phage-host interactions in multispecies systems in which the effect of mucin on entire microbial communities can be investigated. Such research may have important implications for the development of phage therapy strategies aimed at treating infections in mucosal environments, where probiotic and pathogenic bacteria, together with their respective phages, coexist.
While our study primarily focused on bacterial attachment and phage adherence to mucin-coated surfaces, we acknowledge that other aspects of the effects of mucin, such as phage growth on mucin-treated cells and bacterial utilization of mucin as a carbon source, were not assessed. Previous studies have shown that exposure to mucin can alter bacterial physiology in ways that increase the production of phage progeny [
12]. However, our study design emphasized bacterial attachment dynamics and metabolic activity on surfaces, rather than planktonic growth and phage production. Future studies could complement the current one by evaluating whether mucin-induced physiological changes influence phage replication dynamics.
It remains to be determined whether B. subtilis or V. anguillarum actively utilizes mucin components for growth. Although mucin was primarily used as a structural matrix in this study, studies on its role as a nutrient source could provide a more comprehensive view of mucin’s multifaceted impact on bacterial physiology and phage-host interactions.
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