Next Article in Journal
Crosstalk Among Circadian Rhythm, Obesity and Allergy
Next Article in Special Issue
Bioactive Polyphenols and Neuromodulation: Molecular Mechanisms in Neurodegeneration
Previous Article in Journal
The mito-QC Reporter for Quantitative Mitophagy Assessment in Primary Retinal Ganglion Cells and Experimental Glaucoma Models
Previous Article in Special Issue
Molecular Mechanisms That Define Redox Balance Function in Pathogen-Host Interactions—Is There a Role for Dietary Bioactive Polyphenols?
Due to planned maintenance work on our platforms, there might be short service disruptions on Saturday, December 3rd, between 15:00 and 16:00 (CET).
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:

Bacteriophage-Insensitive Mutants of Antimicrobial-Resistant Salmonella Enterica are Altered in their Tetracycline Resistance and Virulence in Caco-2 Intestinal Cells

Food, Nutrition and Health, The University of British Columbia, Vancouver, BC V6T 1Z4, Canada
Institut de biologie intégrative et des systèmes (IBIS), Université Laval, Quebec City, QC G1V 0A6, Canada
Agriculture and Agri-Food Canada, Summerland, BC V0H 1Z0, Canada
Food Science Department, University of Guelph, Guelph, ON N1G 2W1, Canada
Author to whom correspondence should be addressed.
Int. J. Mol. Sci. 2020, 21(5), 1883;
Received: 18 February 2020 / Revised: 26 February 2020 / Accepted: 6 March 2020 / Published: 10 March 2020


Bacteriophages have shown promise as therapeutic alternatives to antibiotics for the control of infectious bacteria, including the human pathogen Salmonella. However, the development of effective phage-based applications requires the elucidation of key interactions between phages and target hosts, particularly since host resistance to phage is inevitable. Little is known about the alteration of host phenotypes following the development of resistance to phage. The aim of this study is to evaluate the antibiotic susceptibility and virulence of a Salmonella isolate following the development of resistance to bacteriophage SI1. We observed enhanced susceptibility to tetracycline and decreased invasion capacity in a differentiated Caco-2 intestinal cell line. Whole genome sequence analysis revealed an array of mutations, most notably, truncations in vgrG1_2, a core gene involved in Type VI secretion and mutations in the lipopolysaccharide, thereby indicating the plausible attachment site of phage SI1. These findings shed light on understanding the underlying mechanism for phage immunity within the host. Importantly, we reveal an associated genetic cost to the bacterial host with developing resistance to phages. Taken together, these results will aid in advancing strategies to delay or eliminate the development of host resistance when designing informed phage-based antimicrobials.

1. Introduction

The foodborne pathogen non-typhoidal Salmonella causes 93 million enteric infections, resulting in more than 150,000 deaths and 4,847,000 disability-adjusted life years lost worldwide per annum [1,2]. Salmonellosis is generally self-limiting in developed countries, although chronic complications may arise, including reactive arthritis and chronic gastroenteritis [3]. The ability of this pathogen to colonize diverse niches has led to its persistence and survival in a range of foods that may serve as vehicles of transmission, including poultry, eggs, meat, dairy products, fresh produce, and a variety of ready-to-eat products [4,5]. Given the frequency of infections and the multiplicity of potential vehicles of transmission, the rise of antimicrobial resistance (AMR) in Salmonella is of particular concern. [6,7]. Since 2017, AMR Salmonella has been ranked among the top ten pathogens of high priority by the World Health Organization and is considered an imminent threat to public health [6].
High research and development costs, poor time-to-market performance, and lack of profitability have long hindered private sector investment in novel antibiotic discovery [8,9]. Consequently, interest in the use of bacteriophages (phages) as alternative therapeutic agents for the treatment of infections caused by AMR bacteria has increased in recent years [7]. Successful use of phages for the control of antimicrobial-resistant bacteria has been reported in several contexts, including human medicine [7,10] and the food industry [11]. Unfortunately, the emergence of bacteriophage-insensitive mutants (BIMs) can occur upon repeated exposure of bacterial hosts to specific phage strains [12,13]. BIMs may acquire phage resistance through several means, such as restriction-modification, abortive infection, CRISPR/Cas9 mechanisms, and commonly, through mutations in phage receptor sites, thereby preventing phage attachment [14]. Additionally, it is known that developing resistance to phage may come with an associated environmental fitness cost to the host, where the evolution of an advantageous trait simultaneously compromises performance in another trait [12,13]. Slower growth rates [15,16], decreased virulence [12], and diminished resistance to various antimicrobials [17] have been reported in BIMs of various bacterial species. Fitness costs have been shown to vary across genera and species of bacteria [18], although only nominal work has been performed with foodborne pathogens such as Salmonella. We hypothesize here that BIMs of Salmonella may exhibit increased susceptibility to antibiotics and decreased virulence potential.

2. Results and Discussion

2.1. General Characterization of S. Agona BIMs

To isolate putative BIMs of S. Agona, the screening assay was performed 200 times. Overall, the rate of resistance development was 2.5% when SI1 was used as the infecting phage, although a transient, unstable resistance phenomenon that disappeared upon further propagation was often observed. Five BIMs of S. Agona FSL S5-517 were isolated and designated ∆87, ∆95, ∆96, ∆99, and ∆102. In contrast with previous reports [15,16], there were no apparent differences in the growth rates of the BIMs and the parental strain (Figure S1). A range of mutations (including single nucleotide polymorphisms (SNPs) and insertion/deletions (indels)) were observed in all BIMs, although the number of mutations and mutated genes varied (Tables S1 to S5 inclusive). Interestingly, some genes and loci were highly mutable across all BIMs (e.g., ccm family genes, vgrG, solA, sufD), suggesting common mechanisms of cellular modification with phage resistance.

2.2. Lipopolysaccharide Mutations in BIMs

Two mutants, ∆95 and ∆96, were found to have several identical mutations in rfaL and rfaY, respectively, encoding an O-antigen ligase and lipopolysaccharide (LPS) core heptose II kinase, proteins involved in LPS synthesis. Variants in these loci were comprised of SNPs and insertions of varying lengths, which induced non-synonymous, synonymous, and frameshift mutations (Table 1). As no other mutations were observed in surface-associated molecules, it is likely the LPS is the receptor site of phage SI1. Salmonella type phage Felix-O1, capable of infecting 99% of Salmonellae, has also been shown to utilize the bacterial LPS for adsorption [19], and mutations in loci responsible for LPS synthesis and structure have been observed in BIMs of numerous bacteria, including Salmonella [19], Yersinia pestis [12] and E. coli [20]. Mutations within rfaL disrupt O-antigen biosynthesis and have been reported to induce phage resistance in S. Typhimurium [21,22] and E. coli O157:H7 [21]. Alternatively, deletions identified within rfaJ, rfaI, rfaG, rfaF, and rfaC disrupted synthesis of the LPS outer core and induced host resistance to Salmonella phage SSU5 [19]. Given the available literature, it is unclear if mutations in rfaY would induce a significant change in the LPS core and if this would further result in phage resistance. Therefore, the current data suggest that the O-antigen of the LPS is the site of attachment by phage SI1, although the possibility of outer core specificity cannot be definitively ruled out.
Mutations in genes involved in LPS synthesis were not identified in ∆87, ∆99, nor ∆102, although they demonstrated resistance to phage SI1 (Table 1). It is hypothesized that these strains possess adaptive immunity mechanisms that obscure the correlative relationship between LPS mutations and phage resistance, for instance, CRISPR and/or other adaptive strategies (e.g., restriction-modification, superinfection exclusion). Therefore, we used CRISPRFinder [23] to identify CRISPR elements in the genomes of the wild-type (WT) and derivative strains. Although there were 26 CRISPRs identified (Table S6), the spacer sequences did not possess homology to any known phages, including SI1. It is possible that other innate immunity mechanisms, including restriction-modification, superinfection exclusion, and abortive infection, could play a role in the phage resistance of these strains [14]. Future work should aim to identify and functionally characterize known and novel gene cassettes contributing to this phenotype.

2.3. Antibiotic Sensitivity of BIMs

Compared to the WT strain, BIMs were not altered in relative sensitivities to sulfamethoxazole/trimethoprim (SXT) nor sulfisoxazole (SUF), exhibiting MIC values of 180/3500 and 2048 μg/mL, respectively (Table 2). According to the designated breakpoint values of the Canadian Integrated Program for Antimicrobial Resistance Surveillance (CIPARS), these MIC values indicate resistance to SXT and SUF [24].
Interestingly, ∆96 showed enhanced sensitivity to tetracycline (TET), exhibiting a MICTET of 76.8 μg/mL compared to an MICTET of 128 μg/mL for the other isolates. Despite a 60% reduction in MIC, ∆96 is still categorized as TET-resistant according to CIPARS (2016). However, reasons for the increased sensitivity of ∆96 to TET are not immediately apparent.
Enhanced antibiotic sensitivity may occur in phage-resistant bacteria if a cellular target serves as the recognition site for both the antibiotic and the phage [17]. In a targeted approach, phages infecting multi-drug resistant Pseudomonas aeruginosa were isolated that utilized multidrug efflux pumps as receptors [17]. Phage-resistant mutants of P. aeruginosa that possessed mutations in these regions subsequently exhibited enhanced susceptibility to several classes of antibiotics, including ceftazidime, ciprofloxacin, tetracycline, and erythromycin, providing evidence of a genetic trade-off as a result of phage infection [17,25].
As previously noted, the presence of mutations in genes associated with LPS synthesis in the BIMs suggested that the receptor site of phage SI1 is associated with this locus (Table 1). As TET specifically binds to regions of the 16S rRNA molecule [26], the direct development of sensitivity is likely not associated with LPS synthesis nor modification. However, it is also known that there are cellular costs associated with phage immunity [14,18,27,28].
Of the four genes encoding proteins involved in TET resistance (i.e., resistance proteins class B (1), C (2), and TET regulator class A (1)) identified in S. Agona FSL S5-517, no mutations were observed as a result of developing phage resistance (Tables S1 to S5 inclusive). It is possible that alterations in transcriptional activity may account for the observed phenotype. For instance, significant (p < 0.05) downregulation of three antibiotic resistance genes were observed by global transcriptomic analysis of multi-drug-resistant Acinetobacter baumanii infected with phage ∂Abp1 [25]. The enhanced expression of efflux pumps in both phage-resistant Campylobacter jejeuni and P. aeruginosa has also been documented [29,30], leading to speculation that efflux pumps and other AMR proteins may have dual roles in phage resistance. As lytic phages are currently being considered for control of antimicrobial resistant bacteria, further work into understanding the influence of phage resistance on antibiotic resistance genes (and particularly, those of AMR Salmonella) is clearly warranted.

2.4. Adhesion and Invasion Assays

Adherence represents an important initial step in epithelial cell invasion [31]. Rates of adherence of the BIMs were not significantly (p > 0.05) different than those of the parental strain (Table 3). Concordantly, no observed mutations were present in structures involved in adherence (e.g., pili, flagella; Tables S1 to S5 inclusive). There were, however, a number of mutations observed in various secretion systems (e.g., Type IV and Type VI secretion systems) across the different BIMs. Nevertheless, it appears that the adhesion proteins involved in these secretion systems were not affected (Tables S1 to S5 inclusive). To the best of our knowledge, there are currently no published reports regarding the adhesion properties of phage-resistant Salmonella; therefore, these results shed light on phenomena that may underlie phage resistance. It is interesting to speculate, however, that cell adhesion may be affected if adhesion- associated structures (e.g., pili, flagella) were the site of phage adsorption.
BIMs of S. Agona displayed varied invasion efficacies (Figure 1). Compared to the WT strain, the invasion capacities of ∆87, ∆99, and ∆102 were not significantly affected (p > 0.05). However, the number of invaded cells of ∆95 and ∆96 showed a decrease of 1.71 ± 0.29 and 1.45 ± 0.31 log CFU, respectively. Attenuated virulence in phage-resistant bacteria has been noted previously. For example, loss of the O-polysaccharide on the LPS of S. Enteritidis conferred resistance to phage infection and resistant mutants were avirulent when tested with the Caenorhabditis elegans virulence model [32]. Moreover, it is known that S. Typhimurium requires an intact O-polysaccharide to trigger programmed cell death in C. elegans [33], and loss of this constituent was correlated with loss of virulence. Similarly, the outer core of the LPS is required for entry of S. Typhi into epithelial cells [34]. Although we also observed mutations in the LPS biosynthesis genes (Table 1), our results are not directly comparable because we did not use a systemic model of infection. Mutations in other cellular structures contributing to phage adsorption (e.g., flagella, outer membrane proteins) have also been associated with attenuated virulence [35,36,37,38]. Furthermore, it is known that the maintenance of innate and adaptive bacterial immunity (e.g., restriction-modification, CRISPR-Cas systems) has associated cellular costs [27,28].
Variant analysis revealed several mutations in components involved in the Type VI secretion system (T6SS) of SPI-19 that plays a role in intestinal infection (Table 1) [39,40,41]. Homology between the contractile components of phages and T6SS of several Salmonella serovars that deliver cytotoxic effector proteins via spikes that enter the host cell was recently reported [42,43,44]. Many core structural components, however, have not been extensively characterized on a functional level [45]. Genes encoding Hcp (hemolysin coregulated protein) and three non-identical copies of VgrG (VgrG1_1, VgrG1_2, and VgrG-2) were identified in S. Agona FSL S5-517, all of which are associated with the tube and needle-like apparatus of the T6SS [46,47]. Given the dual functionality of VgrG in T6SS structure and cytotoxicity [47,48], it is unclear if these genes are individually involved in tip structure, host cytotoxicity, or both. Downstream of the core genes is an rhs element that likely encodes a secretion apparatus [48]. Upstream, the tss locus was identified, encoding for structural proteins involved in the formation of the T6SS baseplate [45]. Interestingly, the switch in the direction of transcription indicates that different sections of the T6SS apparatus are transcribed and assembled separately (Figure 2).
VgrG proteins, in particular, are believed to possess dual functionality as both a cell-puncturing device [47] and a secreted effector protein, resulting in intracellular toxicity, most notably through actin modification [48]. It has been shown that the T6SS of S. Gallinarum is required for survival in the infected macrophages of chicks [39]. Additionally, vgrG deletion mutants of A. baumanii were compromised in adhesion, growth rate, and invasion [41]. Interestingly, these mutants also showed enhanced susceptibility to chloramphenicol, a novel finding that demonstrates the dual roles of T6S in both virulence and AMR [41].
Mutation hotspots, regions where mutations clustered in close proximity, were observed in all BIMs regardless of invasion efficacy, indicating that vgrG and/or regions therein may be highly mutable in conditions where phage is present (Table 1). In all BIMs, a six-bp insertion induced a frameshift at nucleotide position 792 of vgrG1_2, indicating the selective pressure to accumulate indels in multiples of three in an attempt to preserve the reading frame [49,50]. Three downstream polymorphisms also resulted in the conversion of three amino acids (Table 1). Interestingly, these mutations did not affect the invasion capacities of ∆87, ∆99, nor ∆102, indicating that these variant sites may preserve the protein structure and/or deleterious effects were minimized due to the indel’s close proximity to the 3′ end of the gene (951 bp in length) [43].
Strains ∆95 and ∆96 were shown to be significantly less invasive (p < 0.05) than the WT strain (Figure 1) and we observed a higher number of mutations in the vgrG genes than the other BIMs (Table 1). Notably, a G to T substitution at nucleotide position 823 induced the appearance of a stop codon in both BIMs, resulting in a truncated protein and potentially negating any neutral effects of upstream mutations we observed in all BIMs. As mutations were only observed in vgrG1_2, it is possible that vgrG1_1 may partially compensate for the loss of invasion efficacy, particularly since the complete loss of virulence was not observed in the present study. However, the extent of this compensation is unknown since the proteins do not share an identity and may possess different functions. To our knowledge, this is the first report of mutations in the T6SS as a result of phage resistance in non-typhoidal Salmonella.
Differential patterns of gene expression following phage resistance have also been investigated in several studies, although there is a paucity of literature regarding the attenuation of virulence in phage-resistant, non-typhoidal Salmonella. In a global transcriptome analysis of phage-resistant A. baumanii, the expression of vgrG was downregulated by two-fold and a subset of seven other genes involved in Type II, V, and VI secretion were also significantly downregulated [25]. Upregulation of virulence factors as a result of phage resistance has been reported elsewhere [51,52].
Phage-resistant variants of P. aeruginosa PAO1 displayed an upregulation of up to 108.4-fold in key genes involved in Type II, III, and VI secretion, which was confirmed with the decreased viability of infected mammalian cells. Given the diverse phenotypes associated with phage resistance, the assessment of virulence potential in Salmonella BIMs is clearly warranted, especially when considering human safety in biocontrol applications.

3. Materials and Methods

3.1. Bacterial Maintenance & Growth Conditions

An S. Agona strain (FSL S5-517, human isolate) resistant to SUF, SXT, and TET was used to examine the effect of phage resistance on AMR. Stocks were maintained at −80 °C in brain–heart infusion broth (BD/Difco, East Rutherford, NJ, USA) supplemented with 20% glycerol. Working stocks were prepared on tryptic soy agar (TSA; BD/Difco, East Rutherford, NJ, USA) and maintained at 4 °C for a maximum of one month. Prior to experiments, fresh overnight cultures were prepared by inoculating a single colony into 5 mL tryptic soy broth (TSB; BD/Difco, East Rutherford, NJ, USA). Cultures were incubated for 20 h (stationary phase) at 37 °C with agitation at 170 rpm.

3.2. Isolation of BIMs of S. Agona FSL S5-517

Phage SI1, an obligate lytic phage, was previously isolated and characterized in our laboratory as previously described [5]. It was selected for this study due to its strong infectivity against S. Agona FSL S5-517 [5]. Pure phage lysates were stored at 4 °C in SM buffer until further analysis [5].
Putative BIMs were isolated according to methods described by Pereira et al. [53]. Briefly, 5 μL of a phage SI1 suspension (~109 PFU/mL) were spotted onto bacterial lawns consisting of 300 μL of stationary phase cultures of S. Agona mixed with 4 mL 0.7% TSA overlaid onto 1.5% TSA in Petri plates. The plates were incubated at 37 °C for 48 h to allow development of colonies (i.e., putative BIMs) within lysis zones. Individual colonies were picked and transferred to 5 mL TSB, grown overnight at 37 °C for 20 h and were applied to TSA. Bacterial lawns were simultaneously prepared using the overnight cultures as described above, and 5 μL of phage SI1 (109 PFU/mL) were spotted onto the lawns to confirm resistance. The procedure was repeated five times to avoid selection of isolates with transient phage resistance phenotypes [19]. Stock solutions of confirmed BIMs were prepared in TSB supplemented with 20% glycerol and stored at −80°C for further analyses.

3.3. Minimum-Inhibitory Concentration Assays

Minimum inhibitory concentrations (MICs) of SUF, SXT, and TET against the BIMs of S. Agona and the phage-sensitive, WT parental strain were measured using a broth microdilution method [54]. Prior to the MIC assay, resistance of the BIMs to phage SI1 was confirmed by spotting five μL of phage SI1 (109 PFU/mL) onto a bacterial lawn of S. Agona, followed by incubation for 18 h at 37 °C.
All cultures were grown in triplicate by incubation at 37 °C in 10 mL TSB for 20 h. Cells were harvested by spinning one ml aliquots at 5000× g for ten min, washed three times in phosphate buffered saline (PBS; Amresco, Solon, OH, USA) and resuspended in cation-adjusted Mueller–Hinton broth (MHB; Amresco). Aliquots were then transferred in duplicate to 96-well plates containing twofold dilutions of SUF, SXT, and TET, and successively diluted in cation- adjusted MHB (Amresco) to a final concentration of 5 × 104 CFU/mL. Plates were subsequently incubated at 37 °C for at least 16 h. Growth in the wells, as indicated by turbidity, indicated resistance to the antibiotic. Controls using antibiotic-sensitive Salmonella strains were also included. The lowest concentration of each antibiotic which prevented growth of bacteria was deemed the MIC.

3.4. Caco-2 Cell Maintenance and Differentiation

Caco-2 cells (human colon enterocyte-like; HTB-37, American Type Culture Collection, Manassas, VA, USA) were maintained in Dulbecco minimum essential medium (DMEM; Sigma, St. Louis, MO, USA) supplemented with 5% fetal bovine serum (Invitrogen, Burlington, ON, Canada), 100 U/mL penicillin and 100 μg/mL of streptomycin (Sigma) at 37 °C in 5% CO2. Cells were sub-cultured weekly using a 1:10 split ratio with medium changes made every two to three days. The passage number used was 20–40.
For cell differentiation, a 24-well tissue culture plate (1.93 cm2) was seeded with Caco-2 cells at a density of approximately 5 × 105 cells/well in DMEM. Cells were allowed to differentiate for 21 days in 5% CO2 with the culture medium changed every two days.

3.5. Adhesion & Gentamicin Protection Assays

S. Agona isolates were grown in triplicate in 5 mL TSB at 37 °C under agitation for 20 h. Cells were harvested by centrifugation at 5000× g for 10 min and washed three times with PBS, followed by final resuspension in DMEM without antibiotics. Prior to performance of the gentamicin protection assay, resistance of the BIMs to phage SI1 was confirmed by spotting 5 μL of phage SI1 (109 PFU/mL) onto a bacterial lawn of S. Agona, followed by incubation for 18 h at 37 °C.
Caco-2 cells were replenished with DMEM 24 h prior to analysis in order to ensure the viability of invading bacteria. Briefly, seeded cells were washed with PBS and infected with S. Agona at a final concentration of 5 × 106 CFU/well (multiplicity of infection = 10) in duplicate. Infected Caco-2 cells were then incubated at 5% CO2 for 1 h to allow for adhesion and an additional 2 h to allow for invasion [55,56]. The plates were then aspirated and washed three times with 1X PBS to eliminate non-adherent Salmonella.
To test for adherence, 500 μL of 0.1% Triton X-100 (Amresco) was added to each well to lyse the Caco-2 cell monolayers and gently mixed by pipetting. Then, 100 μL of the cell suspensions were serially diluted in PBS and applied to the surface of TSA in duplicate. Plates were incubated at 37 °C prior to counting colonies.
In a separate assay to test for invasion, 100 μg/mL of gentamicin (Amresco) was added to each well to eliminate adherent, non-invaded bacterial cells. Plates were incubated at 5% CO2 at 37 °C for 2 h. Wells were then washed twice with PBS. Subsequently, 500 μL of 0.1% Triton X-100 was added to lyse the Caco-2 cells and gently mixed to release intracellular Salmonella. The invading bacteria were immediately serially diluted in PBS and applied to the surface of TSA in duplicate. Plates were incubated at 37 °C and colonies were counted after 18 ± 2 h of incubation.

3.6. DNA Preparation, Sequencing and Variant Calling

Genomic DNA was extracted from overnight lysogeny broth cultures (Amresco) at 37 °C using the E-Z 96 Tissue DNA Kit (Omega Biotek, Norcross, GA, USA), according to the manufacturer’s instructions. Subsequently, 500 ng of genomic DNA was mechanically fragmented for 40 s by Covaris M220 (Covaris, Woburn, MA, USA) using default settings. Libraries were synthesized using the NEBNext Ultra II DNA library prep kit for Illumina (New England Biolabs, Ipswich, MA, USA) according to manufacturer’s instructions and were sequenced to obtain 30× of coverage in an fdfIllumina MiSeq 300-bp paired-end run at the Plateforme d’Analyses Génomiques of the Institut de Biologie Intégrative et des Systèmes (Laval University, Quebec, QC, Canada). Each genome was assembled de novo with the A5 pipeline version A5-miseq 20140521 [57]. Contigs were mapped to a reference genome, S. Agona SL483 (Accession: PRJNA20063), using Mauve version 2.4.0 [58]. Sequence data was then uploaded to the Galaxy platform, where the public server at was used for data analysis [59]. Adapters were trimmed using the Trimmomatic tool with default parameters [60]. Prokka was used for annotation of the reference genome [61] Sequencing reads of the BIMs were aligned to the WT reference genome using Bowtie2 [62], followed by local re-alignment using Realigner Target Creator [63]. Variants (indels, SNPs, MNPs) were called using FreeBayes [64]. High-quality variants were selected if they possessed a minimum mapping coverage of 8 and a minimum quality score of 20 (90%) [65].
To elucidate the presence of CRISPR-Cas mechanisms in the BIMs, CRISPRFinder was used to identify direct repeats and spacer regions [23]. The NCBI BLASTn algorithm was used to align spacer regions to the genome of phage SI1.

3.7. Statistical Analysis

Invasion efficacy measured by the gentamicin protection assay was calculated from the mean number of cells invaded (in CFU) for three biological replicates. Means obtained with the BIMs were compared to those of the WT strain using a one-way ANOVA. Statistical analyses were performed using JMP version 11.1.1 (SAS Institute, Inc., Cary, NC, United States). A p-value of ≤ 0.05 was considered statistically significant.

4. Conclusions

In considering employing phages for biocontrol, it is of critical importance to assess the interactions that occur between the phage and the host, particularly since an interaction may signify the success of an application. Upon phenotype assessment of spontaneous BIMs of AMR S. Agona, we observed enhanced susceptibility to TET and decreased invasion efficacy in a differentiated Caco-2 intestinal cell model. These phenotypes were correlated with mutations in the host LPS, indicating the site of phage attachment, and a plethora of mutations (most notably, truncations in ∆95 and ∆96) in vgrG1_2, a core gene of the T6SS. It is important to emphasize that this association should be experimentally confirmed in future studies using targeted genetic approaches (i.e., through functional characterization). Additionally, in vivo assays using systemic models of infection will further elucidate the virulence potential of such BIMs. Although mutations were not observed in host TET resistance genes, it can be speculated from this study that downregulation of AMR genes following phage resistance may account for the phenotype, as has been observed by others [25]. If this is the case, variant analysis would not reveal the association; however, it is expected that global transcriptomic analysis would elucidate these correlations.
Together, these results indicate that AMR and virulence phenotypes were altered in phage-resistant S. Agona, and highlighted phage-induced genetic tradeoffs in Salmonella. These data shed light on the fate of the host following phage exposure, which is pivotal for research on the composition of phage cocktails for biocontrol applications in food, animal agriculture, or human medicine.

Supplementary Materials

Supplementary materials can be found at

Author Contributions

Conceptualization, K.F., S.W.; methodology, K.F., K.M., J.-G.R., D.D.K., R.C.L., S.W.; formal analysis, K.F., K.M., J.-G.R.; writing—original draft preparation, K.F., K.M., J.-G.R., D.D.K., S.W.; writing—review and editing, K.F., K.M., D.D.K., P.D., S.W.; funding acquisition, R.C.L., P.D., L.G., S.W. All authors have read and agreed to the published version of the manuscript.


This work was supported by the National Sciences and Engineering Research Council of Canada, NSERC Discovery Grant RGPIN-2015-04871 and Genome Canada, grant number 8505. K.F. was supported by a George Weston Ltd. Doctoral Fellowship.

Conflicts of Interest

The authors declare no conflict of interest.


  1. Majowicz, S.; Musto, J.; Scallan, E.; Angulo, F.; Kirk, M.; O’Brien, S.J.; Jones, T.F.; Fazil, A.; Hoekstra, R.M. International Collaboration on Enteric Disease ‘Burden of Illness’ Studies. The global burden of nontyphoidal Salmonella gastroenteritis. Clin. Infect. Dis. 2010, 50, 882–889. [Google Scholar] [CrossRef] [PubMed][Green Version]
  2. Ao, T.T.; Feasey, N.A.; Gordon, M.A.; Keddy, K.H.; Angulo, F.J.; Crump, J.A. Global burden of invasive nontyphoidal Salmonella disease, 2010. Emerg. Infect. Dis. 2015, 21, 941–949. [Google Scholar] [CrossRef] [PubMed][Green Version]
  3. Andino, A.; Hanning, I. Salmonella enterica: Survival, colonization, and virulence differences among serovars. Sci. World J. 2014, 2015, 1–16. [Google Scholar] [CrossRef] [PubMed][Green Version]
  4. Reports of Selected Salmonella Outbreak Investigations. Available online: (accessed on 30 August 2019).
  5. Fong, K.; LaBossiere, B.; Switt, A.I.M.; Delaquis, P.; Goodridge, L.; Levesque, R.C.; Danyluk, M.D.; Wang, S. Characterization of four novel bacteriophages isolated from British Columbia for control of non-typhoidal Salmonella in vitro and on sprouting alfalfa seeds. Front. Microbiol. 2017, 8, 2193. [Google Scholar] [CrossRef]
  6. Global Priority List of Antibiotic-Resistant Bacteria to Guide Research Discovery and Development of New Antibiotics. Available online: ua=1 (accessed on 2 September 2019).
  7. Mattila, S.; Ruotsalainen, P.; Jalasvuori, M. On-demand isolation of bacteriophages against drug-resistant bacteria for personalized phage therapy. Front. Microbiol. 2015, 6, 1271. [Google Scholar] [CrossRef][Green Version]
  8. Donadio, S.; Maffioli, S.; Monciardini, P.; Sosio, M.; Jabes, D. Antibiotic discovery in the twenty-first century: Current trends and future perspectives. J. Antibiot. 2010, 63, 423–430. [Google Scholar] [CrossRef][Green Version]
  9. Fernandes, P.; Martens, E. Antibiotics in late clinical development. Biochem. Pharmacol. 2017, 133, 152–163. [Google Scholar] [CrossRef][Green Version]
  10. Weber-Dabrowska, B.; Jończyk-Matysiak, E.; Zaczek, M.; Łobocka, M.; Łusiak-Szelachowska, M.; Górski, A. Bacteriophage procurement for therapeutic purposes. Front. Microbiol. 2016, 7, 1177. [Google Scholar] [CrossRef]
  11. Endersen, L.; O’Mahony, J.; Hill, C.; Ross, R.P.; McAuliffe, O.; Coffey, A. Phage therapy in the food industry. Ann. Rev. Food Sci. Technol. 2014, 5, 327–349. [Google Scholar] [CrossRef]
  12. Filippov, A.A.; Sergueev, K.V.; He, Y.; Huang, X.Z.; Gnade, B.T.; Mueller, A.J.; Nikolich, M.P. Bacteriophage-resistant mutants in Yersinia pestis: Identification of phage receptors and attenuation for mice. PLoS ONE 2011, 6, e25486. [Google Scholar] [CrossRef][Green Version]
  13. O’Flynn, G.; Coffey, A.; Fitzgerald, G.; Ross, R.P. Salmonella enterica phage-resistant mutant colonies display an unusual phenotype in the presence of phage Felix 01. Lett. Appl. Microbiol. 2007, 45, 581–585. [Google Scholar] [CrossRef] [PubMed]
  14. Seed, K.D. Battling phages: How bacteria defend against viral attack. PLoS Pathog. 2015, 11, e1004847. [Google Scholar] [CrossRef] [PubMed][Green Version]
  15. Avrani, S.; Wurtzel, O.; Sharon, I.; Sorek, R.; Lindell, D. Genomic island variability facilitates Prochlorococcus-virus coexistence. Nature 2011, 474, 604–608. [Google Scholar] [CrossRef] [PubMed]
  16. Tan, L.; Darby, C. Yersinia pestis is viable with endotoxin composed of only lipid A. J. Bacteriol. 2005, 187, 6599–6600. [Google Scholar] [CrossRef][Green Version]
  17. Chan, B.K.; Sistrom, M.; Wertz, J.E.; Kortright, K.E.; Narayan, D.; Turner, P.E. Phage selection restores antibiotic sensitivity in MDR Pseudomonas aeruginosa. Sci. Rep. 2016, 6, 26717. [Google Scholar] [CrossRef]
  18. Ferenci, T. Trade-off mechanisms shaping the diversity of bacteria. Trends Microbiol. 2016, 24, 209–223. [Google Scholar] [CrossRef]
  19. Kim, M.; Kim, S.; Park, B.; Ryu, S. Core lipopolysaccharide-specific phage SSU5 as an auxiliary component of a phage cocktail for Salmonella biocontrol. Appl. Environ. Microbiol. 2014, 80, 1026–1034. [Google Scholar] [CrossRef][Green Version]
  20. Li, P.; Lin, H.; Mi, Z.; Xing, S.; Tong, Y.; Wang, J. Screening of polyvalent phage- resistant Escherichia coli strains based on phage receptor analysis. Front. Microbiol. 2019, 10, 1–14. [Google Scholar] [CrossRef]
  21. Park, M.; Lee, J.H.; Shin, H.; Kim, M.; Choi, J.; Kang, D.H.; Ryu, S. Characterization and comparative genomic analysis of a novel bacteriophage, SFP10, simultaneously inhibiting both Salmonella enterica and Escherichia coli O157: H7. Appl. Environ. Microbiol. 2012, 78, 58–69. [Google Scholar] [CrossRef][Green Version]
  22. Shin, H.; Lee, J.H.; Kim, H.; Choi, Y.; Heu, S.; Ryu, S. Receptor diversity and host interaction of bacteriophages infecting Salmonella enterica serovar Typhimurium. PLoS ONE 2012, 7, e43392. [Google Scholar] [CrossRef]
  23. Grissa, I.; Vergnaud, G.; Pourcel, C. CRISPRFinder: A web tool to identify clustered regularly interspaced short palindromic repeats. Nucleic Acids Res. 2007, 35, 52–57. [Google Scholar] [CrossRef] [PubMed][Green Version]
  24. Canadian Integrated Program for Antimicrobial Resistance Surveillance (CIPARS). Available online: 2016-eng.pdf (accessed on 10 September 2019).
  25. Yang, Z.; Yin, S.; Li, G.; Wang, J.; Huang, G.; Jiang, B.; Peng, Y. Global transcriptomic analysis of the interactions between phage φabp1 and extensively drug-resistant Acinetobacter baumannii. MSystems 2019, 4, e00068-19. [Google Scholar] [CrossRef] [PubMed][Green Version]
  26. Amram, E.; Mikula, I.; Schnee, C.; Ayling, R.D.; Nicholas, R.A.J.; Rosales, R.S.; Harrus, S.; Lysnyansky, I. 16S rRNA gene mutations associated with decreased susceptibility to tetracycline in Mycoplasma bovis. Antimicrob. Agents Chemother. 2015, 59, 796–802. [Google Scholar] [CrossRef] [PubMed][Green Version]
  27. Vale, P.F.; Lafforgue, G.; Gatchitch, F.; Gardan, R.; Moineau, S.; Gandon, S. Costs of CRISPR-Cas-mediated resistance in Streptococcus thermophilus. Proc. R. Soc. B 2015, 282, 1270. [Google Scholar] [CrossRef] [PubMed][Green Version]
  28. Vasu, K.; Nagaraja, V. Diverse functions of restriction-modification systems in addition to cellular defense. Microbiol. Mol. Rev. 2013, 77, 53–72. [Google Scholar] [CrossRef][Green Version]
  29. Blasdel, B.G.; Ceyssens, P.J.; Chevallereau, A.; Debarbieux, L.; Lavigne, R. Comparative transcriptomics reveals a conserved bacterial adaptive phage response (BAPR) to viral predation. BioRxiv 2018, 2018, 248849. [Google Scholar]
  30. Sacher, J.; Flint, A.; Butcher, J.; Blasdel, B.; Reynolds, H.; Lavigne, R.; Szymanski, C. Transcriptomic analysis of the Campylobacter jejuni response to T4-like phage NCTC 12673 infection. Viruses 2018, 10, 332. [Google Scholar] [CrossRef][Green Version]
  31. Moroni, O.; Kheadr, E.; Boutin, Y.; Lacroix, C.; Fliss, I. Inactivation of adhesion and invasion of food-borne Listeria monocytogenes by bacteriocin-producing Bifidobacterium strains of human origin. Appl. Environ. Microbiol. 2006, 72, 6894–6901. [Google Scholar] [CrossRef][Green Version]
  32. Santander, J.; Vasquez, J.I.; Segovia, C.; Santos, L.; Turra, G.; Huber, K. Complete genome sequence of the Salmonella enterica serovar Enteritidis bacteriophages fSE1C and fSE4C isolated from food matrices. Stand. Genome Sci. 2017, 12, 1. [Google Scholar] [CrossRef][Green Version]
  33. Aballay, A.; Ausubel, F.M. Programmed cell death mediated by ced-3 and ced-4 protects Caenorhabditis elegans from Salmonella Typhimurium-mediated killing. Proc. Natl. Acad. Sci. USA 2001, 98, 2735–2739. [Google Scholar] [CrossRef][Green Version]
  34. Hoare, A.; Bittner, M.; Carter, J.; Alvarez, S.; Zaldívar, M.; Bravo, D.; Contreras, I. The outer core lipopolysaccharide of Salmonella enterica serovar Typhi is required for bacterial entry into epithelial cells. Infect. Immun. 2006, 74, 1555–1564. [Google Scholar] [CrossRef] [PubMed][Green Version]
  35. Feldman, M.; Bryan, R.; Rajan, S.; Scheffler, L.; Brunnert, S.; Tang, H.; Prince, A. Role of flagella in pathogenesis of Pseudomonas aeruginosa pulmonary infection. Infect. Immun. 1998, 66, 43–51. [Google Scholar] [CrossRef] [PubMed][Green Version]
  36. Josenhans, C.; Suerbaum, S. The role of motility as a virulence factor in bacteria. Int. J. Med. Microbiol. 2002, 291, 605–614. [Google Scholar] [CrossRef] [PubMed]
  37. Laanto, E.; Bamford, J.K.; Laakso, J.; Sundberg, L.R. Phage-driven loss of virulence in a fish pathogenic bacterium. PLoS ONE 2012, 7, e53157. [Google Scholar] [CrossRef][Green Version]
  38. Yamaoka, Y.; Kita, M.; Kodama, T.; Imamura, S.; Ohno, T.; Sawai, N.; Graham, D.Y. Helicobacter pylori infection in mice: Role of outer membrane proteins in colonization and inflammation. Gastroenterology 2002, 123, 1992–2004. [Google Scholar] [CrossRef]
  39. Blondel, C.J.; Jiménez, J.C.; Leiva, L.E.; Alvarez, S.A.; Pinto, B.I.; Contreras, F.; Contreras, I. The type VI secretion system encoded in Salmonella pathogenicity island 19 is required for Salmonella enterica serotype Gallinarum survival within infected macrophages. Infect. Immun. 2013, 81, 1207–1220. [Google Scholar] [CrossRef][Green Version]
  40. Sana, T.G.; Flaugnatti, N.; Lugo, K.A.; Lam, L.H.; Jacobson, A.; Monack, D.M. Salmonella Typhimurium utilizes a T6SS-mediated antibacterial weapon to establish in the host gut. Proc. Natl. Acad. Sci. USA 2016, 113, e5044–e5051. [Google Scholar] [CrossRef][Green Version]
  41. Wang, J.; Zhou, Z.; He, F.; Ruan, Z.; Jiang, Y.; Hua, X.; Yu, Y. The role of the type VI secretion system vgrG gene in the virulence and antimicrobial resistance of Acinetobacter baumanii ATCC 19606. PLoS ONE 2018, 13, e0192288. [Google Scholar]
  42. Basler, M. Type VI secretion system: Secretion by a contractile nanomachine. Philos. Trans. R. Soc. Lond. B Biol. Sci. 2015, 370, 20150021. [Google Scholar] [CrossRef][Green Version]
  43. Pukatzki, S.; Ma, A.T.; Sturtevant, D.; Krastins, B.; Sarracino, D.; Nelson, W.C.; Heidelberg, F.; Mekalanos, J.J. Identification of a conserved bacterial protein secretion system in Vibrio cholera using the Dictyostelium host model system. Proc. Natl. Acad. Sci. USA 2006, 103, 1528–1533. [Google Scholar] [CrossRef][Green Version]
  44. Schroll, C.; Huang, K.; Ahmed, S.; Kristensen, B.M.; Pors, S.E.; Jelsbak, L.; Lemire, S.; Thomsen, L.E.; Christensen, J.P.; Jensen, P.R.; et al. The SPI-19 encoded type-six secretion-systems (T6SS) of Salmonella enterica serovars Gallinarum and Dublin play different roles during infection. Vet. Microbiol. 2019, 230, 23–31. [Google Scholar] [CrossRef] [PubMed][Green Version]
  45. Ho, B.; Dong, T.; Mekalanos, J. A view to a kill: The bacterial type VI secretion system. Cell Host Microbe 2014, 15, 9–21. [Google Scholar] [CrossRef] [PubMed][Green Version]
  46. Zong, B.; Zhang, Y.; Wang, X.; Liu, M.; Zhang, T.; Tan, C. Characterization of multiple type-VI secretion system (T6SS) VgrG proteins in the pathogenicity and antibacterial activity of porcine extra-intestinal pathogenic Escherichia Coli. Virulence 2019, 10, 118–132. [Google Scholar] [CrossRef][Green Version]
  47. Cascales, E.; Cambillau, C. Structural biology of type VI secretion systems. Philos. Trans. R. Soc. Lond. B Biol. Sci. 2012, 367, 1102–1111. [Google Scholar] [CrossRef][Green Version]
  48. Bingle, L.; Bailey, C.; Pallen, M. Type VI secretion: A beginner’s guide. Curr. Opin. Microbiol. 2008, 11, 3–8. [Google Scholar] [CrossRef][Green Version]
  49. Danneels, B.; Pinto-Carbó, M.; Carlier, A. Patterns of nucleotide deletion and insertion inferred from bacterial pseudogenes. Genome Biol. Evol. 2018, 10, 1792–1802. [Google Scholar] [CrossRef] [PubMed]
  50. Williams, L.E.; Wernegreen, J.J. Sequence context of indel mutations and their effect on protein evolution in a bacterial endosymbiont. Genome Biol. Evol. 2013, 5, 599–605. [Google Scholar] [CrossRef][Green Version]
  51. Hosseinidoust, Z.; Van De Ven, T.G.; Tufenkji, N. Evolution of Pseudomonas aeruginosa virulence as a result of phage predation. Appl. Environ. Microbiol. 2013, 79, 6110–6116. [Google Scholar] [CrossRef] [PubMed][Green Version]
  52. Sistrom, M.; Park, D.; O’Brien, H.E.; Wang, Z.; Guttman, D.S.; Townsend, J.P.; Turner, P.E. Genomic and gene-expression comparisons among phage-resistant type-IV pilus mutants of Pseudomonas syringae pathovar phaseolicola. PLoS ONE 2015, 10, e0144514. [Google Scholar] [CrossRef][Green Version]
  53. Pereira, C.; Moreirinha, C.; Lewicka, M.; Almeida, P.; Clemente, C.; Cunha, A. Bacteriophages with potential to inactivate Salmonella Typhimurium: Use of single phage suspensions and phage cocktails. Virus Res. 2016, 220, 179–192. [Google Scholar] [CrossRef]
  54. Wiegand, I.; Hilpert, K.; Hancock, R.E.W. Agar and broth dilution methods to determine the minimal inhibitory concentration (MIC) of antimicrobial substances. Nat. Prot. 2008, 3, 163–175. [Google Scholar] [CrossRef] [PubMed]
  55. Bolton, A.J.; Osborne, M.P.; Stephen, J. Comparative study of the invasiveness of Salmonella serotypes Typhimurium, Choleraesuis and Dublin for Caco-2 cells, HEp-2 cells and rabbit ileal epithelia. J. Med. Microbiol. 2000, 49, 503–511. [Google Scholar] [CrossRef] [PubMed][Green Version]
  56. Yamada, F.; Ueda, F.; Ochiai, Y.; Mochizuki, M.; Shoji, H.; Ogawa-Goto, K.; Sata, T.; Ogasawara, K.; Fujima, A.; Hondo, R. Invasion assay of Listeria monocytogenes using Vero and Caco-2 cells. J. Microbiol. Methods 2006, 66, 96–103. [Google Scholar] [CrossRef] [PubMed]
  57. Tritt, A.; Eisen, J.A.; Facciotti, M.T.; Darling, A.E. An integrated pipeline for de novo assembly of microbial genomes. PLoS ONE 2012, 7, e42304. [Google Scholar] [CrossRef] [PubMed][Green Version]
  58. Darling, A.C.E.; Mau, B.; Blattner, F.R.; Perna, N.T. Mauve: Multiple alignment of conserved genomic sequence with rearrangements. Genome Res. 2004, 14, 1394–1403. [Google Scholar] [CrossRef] [PubMed][Green Version]
  59. Afgan, E.; Baker, D.; Batut, B.; Van den Beek, M.; Bouvier, D.; Cech, M.; Chilton, J.; Clements, D.; Coraor, N.; Grüning, B.; et al. The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2018 update. Nucleic Acids Res. 2018, 46, W537–W544. [Google Scholar] [CrossRef] [PubMed][Green Version]
  60. Bolger, A.M.; Lohse, M.; Usadel, B. Trimmomatic: A flexible trimmer for Illumina sequence data. Bioinformatics 2014, 30, 2114–2120. [Google Scholar] [CrossRef][Green Version]
  61. Seemann, T. Prokka: Rapid prokaryotic genome annotation. Bioinformatics 2014, 30, 2068–2069. [Google Scholar] [CrossRef]
  62. Langmead, B.; Salzberg, S.L. Fast gapped-read alignment with Bowtie 2. Nat. Methods 2012, 9, 357–359. [Google Scholar] [CrossRef][Green Version]
  63. McKenna, A.; Hanna, M.; Banks, E.; Sivachenko, A.; Cibulskis, K.; Kernytsky, A. The genome analysis toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data. Genome Res. 2010, 20, 1297. [Google Scholar] [CrossRef][Green Version]
  64. Garrison, E.; Marth, G. Haplotype-Based Variant Detection from Short-Read Sequencing. Available online: (accessed on 12 February 2020).
  65. Den Bakker, H.C.; Allard, M.W.; Bopp, D.; Brown, E.W.; Fontana, J.; Iqbal, Z.; Wolfgang, W.J. Rapid whole-genome sequencing for surveillance of Salmonella enterica serovar Enteritidis. Emerg. Infect. Dis. 2014, 20, 1307–1313. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Caco-2 cell invasion capacity by the S. Agona strains. Error bars indicate the standard deviations of the means of three biological replicates. Means of the BIMs were compared to that of the WT. Asterisks located above mean values indicate significance below α = 0.05 (one-way ANOVA).
Figure 1. Caco-2 cell invasion capacity by the S. Agona strains. Error bars indicate the standard deviations of the means of three biological replicates. Means of the BIMs were compared to that of the WT. Asterisks located above mean values indicate significance below α = 0.05 (one-way ANOVA).
Ijms 21 01883 g001
Figure 2. Schematic representation of the T6SS gene cluster in S. Agona FSL S5-517. Arrows indicate direction of transcription. Black arrows indicate gene products involved in the T6SS. Grey arrows represent gene products of unknown function but believed to play a role in the T6SS. White arrow indicates a hypothetical protein.
Figure 2. Schematic representation of the T6SS gene cluster in S. Agona FSL S5-517. Arrows indicate direction of transcription. Black arrows indicate gene products involved in the T6SS. Grey arrows represent gene products of unknown function but believed to play a role in the T6SS. White arrow indicates a hypothetical protein.
Ijms 21 01883 g002
Table 1. Mutations in genes involved in lipopolysaccharide synthesis and type VI secretion system of the S. Agona bacteriophage-insensitive mutants (BIMs). Mutations presented possess a minimum quality score of 20 and a minimum mapping coverage of 8.
Table 1. Mutations in genes involved in lipopolysaccharide synthesis and type VI secretion system of the S. Agona bacteriophage-insensitive mutants (BIMs). Mutations presented possess a minimum quality score of 20 and a minimum mapping coverage of 8.
Affected GenePutative FunctionStrandnt Position aStrainMutationSequence bImpact on Polypeptide Synthesis
rfaLO-antigen ligase+425WT3 bp insertionG------AInsertion
+442WT4 bp insertionT-------AFrameshift
rfaYLipopolysaccharide core heptose (II) kinase-514WT23 bp insertionA---------------------------------------------- AFrameshift
-538WTSubstitutionTAsn --> Lys
vgrG1_2 Actin cross-linking toxin, structural tip protein, involved in type VI secretion+792WT6 bp insertionT-------------Frameshift
+798WTMulti-nucleotide substitutionATTTTLeu --> Phe
Phe --> Gly
Tyr --> His
+810WT4 bp insertionA---------TFrameshift
+816WT2 bp insertionT----CFrameshift
+820WTSubstitutionGGly --> Arg
+823WTSubstitutionGGly --> Stop codon
+828WT3 bp deletionAGGADeletion
+831WTSubstitutionCAsp --> Glu
+836WTSubstitutionCAla --> Glu
a relative to wild-type strain. nt: nucleotide. b presented in 5′ to 3′ direction. In substitutions, alternate sequences are preceded by the original sequence and separated with a “>” symbol.
Table 2. Minimum inhibitory concentrations of the S. Agona strains. Minimum inhibitory concentrations (MICs) were determined by conducting each test in triplicate.
Table 2. Minimum inhibitory concentrations of the S. Agona strains. Minimum inhibitory concentrations (MICs) were determined by conducting each test in triplicate.
StrainMIC (µg/mL)
Wild type180/35001282048
a Values refer to the MICs of sulfamethoxazole and trimethoprim, respectively.
Table 3. Caco-2 cell adherence of S. Agona strains. The adherence assay was conducted in triplicate and are represented as means ± SD. Means of the BIMs were compared to that of the WT. Different letters indicate significance below α = 0.05.
Table 3. Caco-2 cell adherence of S. Agona strains. The adherence assay was conducted in triplicate and are represented as means ± SD. Means of the BIMs were compared to that of the WT. Different letters indicate significance below α = 0.05.
StrainTotal Cells Adhered (log CFU ± SD)
WT6.22 ± 0.23 A
∆876.65 ± 0.33 A
∆956.28 ± 0.21 A
∆966.01 ± 0.19 A
∆996.48 ± 0.38 A
∆996.56 ±0.44 A

Share and Cite

MDPI and ACS Style

Fong, K.; Mu, K.; Rheault, J.-G.; Levesque, R.C.; Kitts, D.D.; Delaquis, P.; Goodridge, L.; Wang, S. Bacteriophage-Insensitive Mutants of Antimicrobial-Resistant Salmonella Enterica are Altered in their Tetracycline Resistance and Virulence in Caco-2 Intestinal Cells. Int. J. Mol. Sci. 2020, 21, 1883.

AMA Style

Fong K, Mu K, Rheault J-G, Levesque RC, Kitts DD, Delaquis P, Goodridge L, Wang S. Bacteriophage-Insensitive Mutants of Antimicrobial-Resistant Salmonella Enterica are Altered in their Tetracycline Resistance and Virulence in Caco-2 Intestinal Cells. International Journal of Molecular Sciences. 2020; 21(5):1883.

Chicago/Turabian Style

Fong, Karen, Kaiwen Mu, Jean-Guillaume Rheault, Roger C. Levesque, David D. Kitts, Pascal Delaquis, Lawrence Goodridge, and Siyun Wang. 2020. "Bacteriophage-Insensitive Mutants of Antimicrobial-Resistant Salmonella Enterica are Altered in their Tetracycline Resistance and Virulence in Caco-2 Intestinal Cells" International Journal of Molecular Sciences 21, no. 5: 1883.

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop