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Abstract
Enterococcus faecalis is a common opportunistic pathogen, frequently isolated from chronic wounds, yet the mechanisms underlying its virulence and persistence in this niche remain incompletely understood. We previously showed that a subpopulation of E. faecalis can survive intracellularly for several days during murine wound infection and can replicate within macrophages, revealing an unexpected intracellular phase for this traditionally extracellular bacterium. Here, we identify the secreted metalloprotease gelatinase (GelE) and its regulator, the Fsr quorum sensing system, as key modulators of E. faecalis intracellular survival and replication. Mechanistically, Fsr quorum sensing is induced during intracellular replication, promoting GelE-dependent host cell lysis and bacterial egress. In the absence of active GelE, E. faecalis accumulates as large intracellular clusters, a phenotype observed consistently across GelE-deficient wound isolates. In a mouse wound model, GelE-deficient E. faecalis similarly exhibited higher intracellular numbers within wound infection-associated host cells. Together, our study uncovers GelE as a central effector that orchestrates the transition between intracellular and extracellular lifestyles of E. faecalis, providing a possible explanation for its persistence in chronic wound infection.
Author summary
Pathogenic bacteria are traditionally classified as either “intracellular” or “extracellular”, but growing evidence suggests that many extracellular bacteria also adopt transient intracellular lifestyles that promote persistent and recurrent infection. Enterococcus faecalis, a leading cause of chronic wound infection, exemplifies this duality. We discovered that E. faecalis strains lacking the secreted protease gelatinase accumulate to high numbers inside host cells such as macrophages. Our data indicate that gelatinase facilitates bacterial escape following intracellular replication, regulating the transition between an intracellular and extracellular lifestyle. During infection, gelatinase-deficient bacteria remain hidden within various wound cell types, potentially evading immune clearance and antibiotic treatment. This work reveals a previously unrecognized role for gelatinase in controlling E. faecalis intracellular dynamics, highlighting a mechanism that may underline chronic and persistent infection.
Citation: Tanoto FR, Liew JH, Stocks CJ, Rawat D, Chong KKL, Pethe K, et al. (2026) Gelatinase regulates the egress of intracellular replicating populations during Enterococcus faecalis infection. PLoS Pathog 22(3): e1013738. https://doi.org/10.1371/journal.ppat.1013738
Editor: Breck A. Duerkop, University of Colorado Anschutz Medical Campus, UNITED STATES OF AMERICA
Received: November 17, 2025; Accepted: February 26, 2026; Published: March 10, 2026
Copyright: © 2026 Tanoto et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: Whole genome sequencing data of E. faecalis wound isolates presented in this study are publicly available from NCBI Sequence Read Archive (SRA) with the identifier PRJNA1369111. Original uncropped, labelled Western blot is shared as S1 Data. All other relevant data are within the manuscript, with raw values provided as S2 Data.
Funding: Funding for this work was provided by the National Research Foundation and Ministry of Education Singapore under its Research Centre of Excellence Program to KAK, by the Ministry of Education Singapore under its Tier 2 programs to KAK (MOE2018-T2-001-127 and MOE2019-T2-002-089), by Swiss National Science Foundation (SNSF) to KAK (310030_212262), and by SCELSE Seed Funding (SF-05) to HA. FRT is supported by the Interdisciplinary Graduate Programme, Nanyang Technological University and the Nanyang President’s Graduate Scholarship, Nanyang Technological University. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Introduction
Enterococcus faecalis is an opportunistic pathogen associated with chronic wounds, infective endocarditis, catheter-associated urinary tract infections (CAUTI), and bacteremia [1,2]. Although traditionally viewed as an extracellular organism [3], accumulating evidence indicates that E. faecalis can persist intracellularly in diverse host cells, including endothelial, epithelial, and immune cells such as macrophages and neutrophils [4–10]. In vivo, intracellular E. faecalis has been detected in the gastrointestinal tract, liver, and infected wound tissue [6,7,11,12], where they may act as reservoirs enabling long-term colonization, dissemination, or reactivation to cause recurrent infection [11,13,14]. Evidence of intracellular replication in both immune and non-immune cells [6,10,12] suggests that E. faecalis intracellular persistence is an active, regulated process. Identifying the bacterial determinants that enable survival and replication within host cells is therefore critical to understanding E. faecalis pathogenesis.
Multiple determinants contributing to E. faecalis intracellular survival have been described. The multiple-peptide resistance factor MprF2 protects against antimicrobial peptides [15], while methionine sulfur reductase MsrB and thiol peroxidase Tpx detoxify reactive oxygen species [16,17]. Phosphotransferase systems PTS8 (encoded by OG1RF_12399 to OG1RF_12402) and mptABCD (PTS1) appear to modulate intracellular metabolism and macrophage reprogramming, and several transcriptional regulators influence intracellular persistence, although their effectors are unknown [18–23]. E. faecalis can also delay phagolysosomal fusion, damage phagosomes, and evade autophagic clearance [6–8], reflecting its capacity to adapt within host cell. Additional virulence factors that mediate colonization or immune modulation may also support intracellular persistence. The adhesin Ace promotes host cell attachment and survival in macrophages [24], lactate dehydrogenases (Ldh) suppress NF-kB-dependent macrophage activation [25] and the type VII secretion system (T7SS) may likewise secrete effectors that enhance intracellular survival [26], similar to that of Staphylococcus aureus and other secretion systems from intracellular Gram-negative bacteria [27–30]. Two-component systems (TCS) further enable E. faecalis to sense and adapt to dynamic environments and have been implicated in intracellular survival [31,32]. Among these is the well-characterized quorum sensing (QS) FsrABDC system [33,34], comprising a response regulator FsrA, a sensor kinase FsrC, and a membrane protein FsrB which processes FsrD, a precursor to the autoinducer peptide gelatinase biosynthesis-activating pheromone (GBAP). Altogether, FsrABDC regulates the secreted metalloprotease gelatinase (GelE), serine protease (SprE), and enterococcin V (EntV), all previously linked to virulence but not to intracellular behavior [35–38]. Given the confined environment of the host cell interior, replicating bacteria may activate QS system inside the host cell, although this possibility or its consequence has not been explored. Together, these studies highlight the multifactorial nature of E. faecalis intracellular adaptation and the need to define the regulatory pathways coordinating these processes.
To address these gaps, we examined candidate E. faecalis genes for roles in intracellular persistence using an in vitro macrophage infection model. Our screen identified GelE and its regulatory Fsr QS system in regulating intracellular E. faecalis across diverse clinical wound isolates. We found that fsrABDC and its associated regulon are upregulated during intracellular replication starting at 6 hours post-infection (hpi), promoting bacterial egress and regulating the intracellular population density of replicating E. faecalis. Consistent with these findings, ΔgelE strains persisted intracellularly in immune and non-immune cells in a mouse wound infection model at 5 days post-infection (dpi). Together, these results identify QS-regulated GelE as a central factor controlling the intracellular-extracellular balance of E. faecalis and demonstrate the Fsr QS system as a key regulator of this transition during infection.
Results
Absence of fsrA and gelE enhances intracellular survival of E. faecalis in RAW264.7 macrophages
To investigate how E. faecalis regulates intracellular survival, we screened a panel of E. faecalis mutants of genes associated with intracellular persistence or overall virulence for their ability to survive intracellularly within RAW264.7 macrophages. These included transposon insertion mutants from the OG1RF EfaMarTn library [39] and in-frame deletion mutants (S1 Table). Macrophages were infected at an MOI of 10 for 1 h, followed by antibiotic treatment to rapidly eliminate extracellular bacteria in the absence of significant host cell cytotoxicity (S1A–S1B Fig), and viable intracellular bacteria were quantified at 2, 6, and 20 hpi (S1C–S1D Fig). We did not observe significant differences in intracellular colony forming units (CFU) for any mutant at 2 hpi (S1E Fig). However, at 6 hpi when intracellular CFU peaked (S1C–S1D Fig), ΔmprF2 and OG1RF 12401::Tn (encoding enzyme IIC in PTS8) showed significantly fewer intracellular CFU compared to WT (Fig 1A). At 20 hpi, both ΔmprF2 and OG1RF_12401::Tn continued to show significantly fewer intracellular CFU, as did msrB::Tn and ΔmptD (Fig 1B), corroborating previous studies implicating each of these genes in survival within macrophages [15,16,18,20]. Surprisingly, we also found that virulence mutants fsrA::Tn and gelE::Tn accumulated to significantly higher intracellular CFU compared to WT (Fig 1B). Because FsrA regulates the transcription of gelE, sprE, and entV [33,34] and GelE proteolytically activates downstream targets including Ace, AtlA, and EntV [40–42], we examined whether loss of these downstream effectors might account for the increased intracellular survival. In contrast to gelE::Tn, transposon insertion mutants of ace, atlA, and entV displayed similar intracellular CFU as WT at 20 hpi. These data suggest that FsrA and GelE, rather than other downstream effectors of the Fsr regulon, mediate the modulation of intracellular survival.
(A-B) Intracellular CFU in RAW264.7 macrophages infected with OG1RF WT and derived mutants of genes implicated in intracellular persistence (blue), virulence (orange), or GelE proteolytic targets (pink). (n = 18 for WT and n = 5-6 for mutants) (C) Schematic diagram of the genomic locus comprising fsrABDC/gelE/sprE, represented in different shaded arrows for each transcriptional unit. Promoters are represented by bent arrows (grey: constitutive promoter of fsrA, black: fsrA-regulated promoter). The respective gene size in base pairs (bp) is indicated below each gene. (D-E) Intracellular CFU in RAW264.7 macrophages infected with genetic deletion mutants of fsrABDC and gelE (n = 9), as well as a transposon insertion mutant of sprE (n = 5). (F-J) Analysis of gelatinase activity phenotype. (F, I) Gelatinase activity of E. faecalis strains on Todd-Hewitt agar + 3% gelatin at 24 h. Halo formation (white dashed line) indicates gelatinase activity. Representative images of n = 3 are shown. (G, J) Detection of GelE secretion in E. faecalis culture supernatants at 4, 12 and 24 h by Western blotting. CTD = C-terminal domain. Representative images of n = 2 are shown. (H) Schematic diagram of GelE domains: a putative signal peptide (S.P., 1-30 a.a.), a propeptide (30-192 a.a.), the mature GelE protease (192-495 a.a.) and a C-terminal domain (CTD, 495-509 a.a.). (K-L) Intracellular CFU in RAW264.7 macrophages infected with WT, ΔgelE and ΔgelE-complemented OG1RF strains. (n = 4); All bar graphs shown represent mean ± SD of biological replicates. Statistical significance of each strain against WT was assessed using one-way ANOVA with Dunnett’s multiple comparisons test. Only comparisons with p < 0.05 are annotated. * = p < 0.05, ** = p < 0.01, *** = p < 0.001, **** = p < 0.0001.
To validate these findings, we generated in-frame deletion mutants for individual transcriptional units (ΔfsrA, ΔfsrBDC, ΔgelE and a combined transcriptional unit ΔfsrABDC; Fig 1C) and quantified their intracellular CFU. We additionally tested a transposon insertion mutant in sprE, a serine protease encoded downstream of gelE that is also regulated by FsrA, for its contribution to intracellular survival. All mutants had similar intracellular CFU at 2 hpi (S1F Fig). However, ΔgelE and ΔfsrABDC displayed increased intracellular CFU than WT at both 6 and 20 hpi, and ΔfsrA displayed increased intracellular CFU at 20 hpi (Fig 1D–1E). These phenotypes correlated with loss of GelE secretion as confirmed by agar-based activity assays and Western blot of culture supernatants collected at different growth timepoints (Figs 1F–H and S2A). WT initially secreted a 34.5 kDa isoform of GelE with lower activity at 4 h that was progressively cleaved to a 33 kDa fully-active form by 24 h, consistent with previous observations [43]. By contrast, ΔfsrBDC retained weak gelatinase activity and had intracellular CFU comparable to WT, consistent with low-level gelE expression, likely driven by constitutive fsrA transcription from its own promoter. sprE::Tn, which was gelatinase-positive, showed comparable intracellular CFU to WT at all timepoints, further supporting a specific role of GelE in modulating intracellular survival (Figs 1D–1E and S1G).
To determine whether augmented intracellular CFU depends on GelE proteolytic activity, we chromosomally complemented ΔgelE with either the WT allele (ΔgelE::gelE) or two catalytically inactive variants carrying E329 or E352 substitutions (S3 Fig). The WT complement restored active GelE secretion, whereas the E329A and E352A mutants produced enzymatically inactive isoforms with impaired secretion particularly for E329A, suggesting differential roles for these residues in GelE proteolytic maturation and secretion (Figs 1H–1J and S2B). Accordingly, ΔgelE::gelE restored intracellular CFU to WT levels, whereas the E329A and E352A mutants lacking gelatinase activity retained elevated intracellular CFU (Figs 1K–1L and S1H). These findings demonstrate that the ability of GelE to regulate intracellular CFU depends on its proteolytic activity.
Increased intramacrophage survival in the absence of fsrA and gelE is conserved across wound isolates of E. faecalis
The fsr QS locus varies among E. faecalis clinical isolates from the gut, infective endocarditis, bloodstream, and urinary tract infections [44–47]. To determine whether elevated intracellular CFU observed for OG1RF ΔfsrA, ΔfsrABDC, and ΔgelE mutants extends to clinical strains, we examined 49 E. faecalis wound isolates [48,49]. Whole genome sequence analysis of gelE, fsrA and fsrBDC revealed three genotypes: 22/49 strains (44.9%) had the full fsrABDC and gelE locus (fsrABDC+gelE+), 10/49 (20.4%) lacked both fsrABDC and gelE (fsrABDC-gelE-), and 17/49 (34.7%) had a complete gelE gene sequence but lacked fsrA and had a truncated fsrBDC (fsrABDC-gelE+). Phenotypically, fsrABDC-gelE- and fsrABDC-gelE+ strains lacked gelatinase activity on gelatin agar (GelE-), whereas fsrABDC+gelE+ strains retained it to varying degrees (GelE+) (Figs 2A and S4B). All fsrABDC-gelE+ strains shared a conserved 23.9 kb deletion spanning the 5’ end of fsrC (junction at position 261 in fsrC, V583 coordinates: 1,765,811) to the 3’ end of yqeK (EF1841, V583 coordinates: 1,789,714) (S4A–S4B Fig), consistent with previous reports [50,51]. Genomic analysis of fsrABDC-gelE- strains showed a different 27.8 kb conserved deletion spanning the 5’ end of EF1814 (V583 coordinates: 1,759,390) to the 3’ end of EF1838 (V583 coordinates: 1,787,212), while fsrABDC+gelE+ strains displayed diversity in the genomic region upstream of fsrA, including a previously reported 14.8 kb insertion in 11 out of 22 fsrABDC+gelE+ wound isolates as well as in OG1RF [51].
(A) Characterization of 49 E. faecalis wound isolates for fsrABDC/gelE genotypes and gelatinase activity phenotypes. (B-D) Intracellular CFU in RAW264.7 macrophages infected with four selected gentamicin-susceptible fsrABDC+gelE+ (grey bars), fsrABDC-gelE+ (green bars) and fsrABDC-gelE- (orange bars) E. faecalis wound isolates and laboratory strains (JH2-2, OG1RF WT, ΔfsrABDC and ΔgelE) at (B) 2 hpi, (C) 6 hpi and (D) 20 hpi. Bars represent mean ± SD from n = 4. Statistical significance of each strain against WT was assessed using one-way ANOVA with Dunnett’s multiple comparisons test. Only comparisons with p < 0.05 are annotated. * = p < 0.05, ** = p < 0.01, *** = p < 0.001, **** = p < 0.0001.
We next infected RAW264.7 macrophages with four gentamicin-susceptible strains from each genotype group (highlighted in red in Figs 2A, S4B, and S5A–S5B), as well as JH2–2, a fsrABDC-gelE+ laboratory strain [52]. Except for one fsrABDC-gelE- isolate (20_EF), all clinical strains exhibited comparable intracellular CFU at 2 hpi (Fig 2B). At 6 and 20 hpi, all fsrABDC-gelE- strains, as well as the ΔfsrABDC and ΔgelE controls, showed significantly higher intracellular CFU compared to WT OG1RF (Fig 2C–2D). By 20 hpi, three of the fsrABDC-gelE+ strains (04_EF, 12_EF, JH2–2) also exhibited increased intracellular CFU relative to WT, whereas fsrABDC+gelE+ strains maintained WT levels at all time points (Fig 2B–2D). GelE secretion was nearly undetectable in culture supernatants of most of the fsrABDC-gelE+ clinical strains tested, suggesting that the variability in their intracellular CFU at 20 hpi is likely due to other genomic factors and not a leaky Fsr-independent GelE expression (S6 Fig). Therefore, we conclude that enhanced intramacrophage CFU in the absence of FsrABDC/GelE is conserved among wound isolates and links naturally occurring fsrABDC/gelE variants with increased intracellular persistence.
Lack of GelE promotes the accumulation of replicating intracellular bacterial reservoirs
The elevated intracellular CFU observed in GelE- strains at 20 hpi was not due to differences in initial uptake or infection efficiency (S1E–S1F, S1H, and S7 Figs). To determine if this phenotype reflected increased intracellular replication, E. faecalis was pre-stained with the proliferation dye eFluor 670, which is diluted with each division (S8A Fig). Infected macrophages were lysed at 2, 6, and 20 hpi and intracellular bacteria were analyzed by flow cytometry following immunolabeling of lysates with the anti-Group D antigen (AgD⁺ , labelling all E. faecalis cells) (S8B Fig). At 2 hpi, approximately 80–90% of intracellular E. faecalis were eFluor+ (Fig 3A–3B, red histograms), indicating limited replication within macrophages regardless of their GelE phenotype. By 6 and 20 hpi, an eFluor- peak of lower fluorescence intensity emerged, indicating intracellular replication (Fig 3A–3B, blue and orange histograms). This eFluor- peak was absent in PFA-fixed non-replicative controls at all timepoints, validating the specificity of this assay in identifying replicating bacteria (Fig 3A). Strikingly, GelE- strains (ΔfsrA, ΔfsrABDC, ΔgelE) displayed significantly higher proportions of replicating eFluor- bacteria (~80–90%) compared to GelE+ strains (WT and ΔfsrBDC), which reached only ~40–60% at 20 hpi. (Fig 3A-3B). Confocal microscopy supported these findings: At 20 hpi, we observed macrophages infected with GelE⁻ strains (ΔfsrA, ΔfsrABDC, ΔgelE) containing large intracellular clusters of eFluor- bacteria, consistent with active replication, whereas infection with GelE+ strains (WT, ΔfsrBDC) primarily contained eFluor+ non-replicating bacteria (Fig 3C). The higher proportion of replicating intracellular GelE⁻ strains was not attributable to increased growth rate, as all fsrABDC/gelE deletion mutants exhibited growth kinetics comparable to WT OG1RF when cultured in macrophage culture media (S9 Fig). Collectively, these results demonstrate that the elevated intracellular CFU observed in GelE- E. faecalis results from a higher proportion of replicating bacterial reservoirs within macrophages rather than altered uptake or cytotoxicity.
(A) Quantification of intracellular replicating (eFluor-) and non-replicating (eFluor+) E. faecalis strains from macrophage lysates at 2, 6, and 20 hpi using flow cytometry. WT OG1RF fixed with 4% PFA prior to infection (Fixed WT) was included as non-proliferating controls. Representative histograms from n = 2-4 are shown. (B) Proportion (%) of intracellular replicating E. faecalis (eFluor-) population from WT and mutant E. faecalis-infected macrophage lysates. Bars represent mean ± SD of n = 4, except fixed WT (n = 2). Statistical significance of each strain against WT was assessed using one-way ANOVA with Dunnett’s multiple comparisons test. Only comparisons with p < 0.05 are annotated. ** = p < 0.01, *** = p < 0.001, **** = p < 0.0001. (C) Representative confocal microscopy images of RAW264.7 macrophages infected by E. faecalis strains pre-stained with eFluor 670 (magenta) at 20 hpi from n = 3. Samples were fixed and post-stained for Enterococcus-specific Group D antigen (green), double-stranded DNA (dsDNA; blue) and F-actin (white).
Intracellularly replicating WT OG1RF induce Fsr quorum sensing at 6 hpi
Since FsrA and GelE negatively regulate intracellular persistence and replication, we next examined whether these genes are differentially expressed in intracellularly replicating GelE+ WT OG1RF. To distinguish macrophages containing replicating versus non-replicating intracellular E. faecalis at 6 and 20 hpi, we adapted a two-color fluorescence dilution assay combined with fluorescence-assisted cell sorting (FACS) [53,54]. Constitutive Dasher GFP-expressing WT OG1RF were pre-stained with the proliferation dye eFluor 670 to identify macrophages containing replicating bacteria. As intracellular bacteria replicate, the macrophage GFP intensity increases while the eFluor signal remains constant, enabling separation of macrophages containing replicating E. faecalis (eFluor+GFPhi) and non-replicating E. faecalis (eFluor+GFPlo) (Fig 4A). At 2 hpi, < 0.5% of infected macrophages contained replicating bacteria (GFPhi macrophages), compared to 1–3% and 3–5% at 6 and 20 hpi, respectively (Fig 4A–4B). Confocal microscopy confirmed that GFPhi macrophages contained clusters of replicating E. faecalis with a diluted eFluor signal, while GFPlo macrophages contained lower numbers of non-replicating eFluor+ E. faecalis (Fig 4C). Quantitative PCR (qPCR) showed that the shift from the extracellular to intracellular environment led to an early decrease in Fsr QS-regulated genes compared to extracellular E. faecalis, likely due to a shift into a microenvironment with little to no GBAP autoinducer peptide. At 6 hpi, replicating E. faecalis within GFPhi macrophages significantly upregulated the fsrABDC locus genes and its known regulon compared to non-replicating intracellular bacteria within GFPlo macrophages at the same timepoint, approaching extracellular expression levels (Figs 4D and S10). By 20 hpi, expression levels were similar between replicating (GFPhi population) and non-replicating (GFPlo population) intracellular E. faecalis (Fig 4E). These results suggest that intracellular E. faecalis activates the Fsr QS system and its regulon following early replication within macrophages, likely in response to increased intracellular density, initiating a regulatory program that ultimately promotes the intracellular-to-extracellular transition.
(A) Gating of eFluor+GFPhi (GFPhi) and eFluor+GFPlo (GFPlo) infected macrophages used for cell sorting at 2, 6 and 20 hpi. Representative dotplots from n = 4 are shown. (B) Relative quantification (%) of GFPhi and GFPlo macrophages as gated in (A). Bars represent mean ± SD of n = 4. Statistical analysis was assessed using one-way ANOVA with Tukey’s multiple comparisons test. (C) Confocal fluorescence images of sorted GFPhi and GFPlo macrophages, with intracellular GFP+eFluor670lo bacteria indicating proliferating E. faecalis (n = 1). Scale bar = 10 μm. (D-E) Relative gene expression of fsrABDC and its associated regulon in intracellular replicating (GFPhi) and non-replicating (GFPlo) E. faecalis populations at (D) 6 hpi and (E) 20 hpi, normalised by the -ΔΔCt method to the housekeeping gene recA and to the gene expression of the baseline 2 hpi GFPlo population. Bars represent mean ± SEM of n = 4. Statistical significance between GFPhi and GFPlo populations at each timepoint was assessed using unpaired T-test. For all graphs, only comparisons with p < 0.05 are annotated. * = p < 0.05, ** = p < 0.01, *** = p < 0.001, **** = p < 0.0001.
Loss of GelE proteolytic activity delays egress from macrophages and promotes intracellular accumulation of E. faecalis in macrophages
We hypothesized that GelE secreted by replicating intracellular bacteria promotes host cell lysis and bacterial release, thereby reducing the intracellular bacterial population. To test this hypothesis, we quantified the lytic release of intracellular lactate dehydrogenase (LDH) from macrophages. At 6 hpi, infection with GelE+ strains caused ~5% macrophage death, whereas GelE- strains caused significantly lower cytotoxicity comparable to uninfected controls (Fig 5A). By 20 hpi, comparable cytotoxicity was seen in both GelE+ and GelE- strain infections. These data suggest that intracellular GelE accelerates macrophage lysis and bacterial release into the antibiotic-containing media, eventually reducing overall intracellular GelE+ populations by 20 hpi.
(A) LDH cytotoxicity quantification of culture supernatants from E. faecalis-infected macrophages at 2, 6 and 20 hpi using the antibiotic protection assay. Bars represent mean ± SD from n = 5. Statistical significance against WT was assessed using one-way ANOVA with Dunnett’s multiple comparisons test. A subset of this data comparing macrophage cytotoxicity from WT infection at 2, 6 and 20 hpi is shown in S1B Fig. (B-C) Quantification of extracellular egressed bacteria from culture supernatants of RAW264.7 macrophages infected with (B) fsrABDC/gelE deletion mutants and (C) gelE-complemented OG1RF strains at 6 to 12 hpi. Each data point represents mean ± SD of n = 3-4. At each timepoint, statistical significance against WT was assessed using two-way ANOVA with Dunnett’s multiple comparisons test. LOD = limit of detection. (D) Representative Z-projections of WT- and ΔgelE-infected RAW264.7 macrophages at 6, 9 and 12 hpi from (B), captured with confocal microscopy and stained for Enterococcus specific Group D antigen (yellow), dsDNA (cyan), and F-actin (magenta) (n = 2). Orthogonal Z-axis projections along the blue and red lines are shown in the adjacent colored boxes. White and yellow arrows indicate matched top view and Z-axis projections of selected macrophages with dense intracellular E. faecalis. For all graphs, only comparisons with p < 0.05 are annotated. * = p < 0.05, ** = p < 0.01, *** = p < 0.001, **** = p < 0.0001.
To investigate the role of GelE in promoting egress, we performed a modified antibiotic protection assay up to 6 hpi, following which the bactericidal cocktail was replaced with vancomycin at a bacteriostatic concentration to E. faecalis, allowing intracellular bacteria to exit without extracellular replication or death [55] (S11A–S11C Fig). Supernatants were sampled hourly from 6-12 hpi for CFU enumeration. WT E. faecalis egressed rapidly, plateauing by 7 hpi, whereas ΔgelE egressed more slowly (Fig 5B). Complementation restored ΔgelE to WT egress kinetics, while protease-inactive E329A and E352A mutants remained defective (Fig 5C). The weakly GelE+ ΔfsrBDC mutant displayed an intermediate phenotype, supporting a correlation between gelatinase activity and egress efficiency. Both ΔfsrA and ΔfsrABDC surpassed WT egress levels at later time points, suggesting that additional FsrA-regulated factors may restrict intracellular replication or release. Consistent with the extracellular CFU recovered, confocal microscopy of infected ΔgelE-infected macrophages between 6–12 hpi showed large, highly dense intracellular bacteria encased within F-actin (Fig 5D, white and yellow arrows), which were largely absent in WT-infected macrophages, suggesting a population of continuously replicating ΔgelE that is egress-defective. By contrast, WT-infected macrophages harbored smaller and more dispersed bacterial clusters, consistent with active egress and host cell lysis. To investigate whether intracellular replication and the formation of dense intracellular clusters occurred in the host cytosol, we applied a differential permeabilization method for staining cytosolic but not phagosomal bacteria in infected host cells [56–58]. Although we found large replicating intracellular clusters within the host cytosol by 6 hpi, several smaller clusters of replicating E. faecalis were observed to be non-cytosolic, and these were observed in both WT- and ΔgelE-infected macrophages (S12A Fig). These results suggest that E. faecalis intracellular replication is likely a heterogenous process, in which large replicating intracellular E. faecalis clusters eventually localize to the cytosol regardless of gelE presence. Transmission electron microscopy further supported the heterogenous subcellular localization of both WT and ΔgelE at 6 hpi in both host membrane-bound compartments and the cytosol (S12B Fig). Taken together, these data show that GelE proteolytically regulates E. faecalis egress from RAW264.7 macrophages, without which replicating bacteria remain as dense cytosolic populations due to delayed egress.
Absence of GelE promotes intracellular survival of E. faecalis in murine wounds
Intracellular bacterial populations of traditionally extracellular pathogens can contribute to persistent and/or recurrent infections, including wound infection, bacteremia, and lung infection [59–63]. To evaluate whether GelE deficiency affects E. faecalis persistence in vivo, we compared WT and ΔgelE in a mouse wound infection model. Both strains established infection and persisted at similar levels at 1, 3, and 5 dpi in mono-species (Fig 6A) and competitive infections (Figs 6B and S13), showing that GelE is dispensable for wound infection at these timepoints.
(A-B) Total CFU from wound homogenates of (A) mono-infection or (B) competitive infection at 1, 3, and 5 dpi. Median of 3-5 animals per group from one independent experiment is shown. Dotted lines show inoculum CFU for mono-infection. (C) Flow cytometry analysis of intracellular E. faecalis (stained for Group D antigen) in various immune cells at 5 dpi. Median from 6-9 animals per group from 2 independent experiments is shown. (D-E) Quantification of (D) intracellular CFU at 1, 3 and 5 dpi or (E) total CFU at 5 dpi from enzymatically dissociated wounds. Median from 4-5 animals per group from one independent experiment is shown. For A-D, only comparisons with p < 0.05 are annotated. At each timepoint, statistical significance between infection groups was assessed using Mann-Whitney test, except for C, which was assessed using Kruskal-Wallis test with Dunn's multiple comparisons test. * = p < 0.05, ** = p < 0.01, *** = p < 0.001. n.s. = not significant.
We next investigated whether ΔgelE contributes to intracellular persistence during wound infection. At 5 dpi, dissociated wound tissues were analyzed by flow cytometry for relevant immune subpopulations [64] (S14 Fig). Both WT and ΔgelE infections elicited comparable innate immune infiltration at 5 dpi, with greater populations of neutrophils (CD45+ Ly6G+) and monocytes (CD45+ Ly6G- Ly6C+) compared to mock-infected wounds (S15A–S15B Fig). Intracellular E. faecalis were found in approximately 0.1-5% of all the cell types investigated for both WT and ΔgelE infection (Fig 6C). To quantify intracellular CFU, excised wound tissues were enzymatically dissociated ex vivo in antibiotics-containing medium (500 μg/mL each of gentamicin and penicillin G) to eliminate extracellular bacteria. The single cell suspension was then washed and lysed to release intracellular bacteria. While intracellular CFU were similar between WT and ΔgelE at 1 and 3 dpi, significantly more intracellular ΔgelE CFU were present at 5 dpi as compared to intracellular WT (Fig 6D). Parallel experiments without ex vivo antibiotic treatment to capture both intracellular and extracellular bacteria yielded no significant differences in total CFU between WT and ΔgelE (Fig 6E). Thus, although GelE does not contribute to overall fitness during wound infection, its absence promotes E. faecalis intracellular survival during wound infection.
Discussion
Here, we identified the Fsr-regulated secreted metalloprotease GelE as a key regulator of E. faecalis intracellular dynamics. While E. faecalis has long been considered an extracellular pathogen, our findings reveal that it transiently adopts an intracellular lifestyle in both macrophages and wound infection-associated cells, and that GelE activity critically governs the transition between intracellular replication and extracellular dissemination. Loss of GelE activity enhances intracellular bacterial accumulation by preventing timely host cell lysis and egress (Fig 7). The frequent loss of fsrABDC and gelE among clinical isolates underscores the clinical relevance of this pathway. In a study of enterococcal infective endocarditis, approximately 47% of E. faecalis isolates across two patient cohorts were fsrABDC- and were associated with higher disease severity and longer bacteremia duration [65]. Similarly, we found that GelE- E. faecalis appears better adapted for persistence and immune evasion rather than acute virulence. This evolutionary trade-off may favor intracellular survival during chronic infection or antibiotic exposure. These findings expand current understanding of E. faecalis pathogenesis by linking a canonical extracellular virulence factor to the control of intracellular replication [6,10,12].
Replicating intracellular E. faecalis exhibit Fsr QS-mediated induction of gelE expression compared to non-replicating populations, promoting egress from macrophages and from wound infection-associated cells via its proteolytic action on an unknown host substrate. By contrast, absence of GelE resulted in egress-defective, dense intracellular populations. Created in BioRender. Tanoto, F. (2026) https://BioRender.com/eo3dbrt.
The new role for GelE in mediating egress from host cells is independent of its known bacterial proteolytic targets, because neither ace [40], atlA [41], nor entV [42] mutants accumulate intracellular CFU as a gelE mutant does, suggesting that GelE may directly act on host targets to promote egress. Protease-driven egress has been previously reported in other pathogens. In Chlamydia trachomatis, the chlamydial protease-like activity factor (CPAF) degrades the cytoskeletal protein vimentin as well as SLC7A11, a membrane antiporter, altogether inducing ferroptosis to promote its lytic release from inclusion bodies [66,67]. Various intracellular parasitic eukaryotes, including Plasmodium falciparum, Toxoplasma gondii and Trypanosoma cruzi also utilize secreted proteases to degrade the cytoskeleton for egress [68–70]. On the other hand, Streptococcus pyogenes SpeB activates the pore-forming gasdermin A to induce pyroptosis [71,72], while S. aureus staphopain A induces host cell death through unknown effectors [73]. Similarly, GelE may cleave host factors that modulate membrane integrity or cell death pathways, potentially involving similar cytoskeletal, pore-forming or apoptotic effectors described for other pathogens. Additional cellular and molecular studies are required to clarify GelE targets within the host intracellular environment.
Loss of the fsrABDC and gelE loci is a common feature of E. faecalis clinical isolates. In our analysis, more than half of the E. faecalis wound isolates were phenotypically GelE-, caused by a genetic loss of either fsrABDC or both fsrABDC and gelE, but not loss of gelE alone. This genotype distribution is comparable with previous studies which found phenotypic GelE- strains (fsrABDC-gelE+ and fsrABDC-gelE-) in approximately 25–50% of all isolates from urine, blood, endocarditis, gut and wounds [44–47]. While the conserved 23.9 kb genomic deletion in our fsrABDC-gelE+ strains has been subject to previous investigations [45,50,51], the other conserved 27.8 kb genomic deletion encompassing fsrABDC-gelE- has been largely overlooked. How these conserved genetic deletions arise is unknown. The occurrence of conserved fsrABDC deletions across different sequence types supports the idea of independent adaptive events rather than clonal expansion [51]. Moreover, additional evidence from infective endocarditis suggests that these deletions may not be the result of selective pressure in the bloodstream [65]. It remains to be investigated whether other host niches or environmental reservoirs select for these mutations, but their occurrence across clinical isolates suggests they may confer an advantage in the host, such as enhanced intracellular persistence at late infection stages. Similarly, loss of the Agr QS in S. aureus, a homolog of the Fsr system [33], has been associated with persistent bacteremia and increased mortality [74–77]. Although we did not observe decreased virulence in the absence of gelE during wound infection, there was an increase in intracellular reservoirs of ΔgelE E. faecalis at later timepoints of infection. Future experiments incorporating even later time points or antibiotic pressure may reveal whether these intracellular populations contribute to persistence or treatment failure. On the other hand, the genetic presence of other QS systems may conversely augment intracellular persistence, as shown for two novel purine QS systems of E. faecalis [32] and other QS systems of Gram-negative bacteria [78,79]. Together, these observations highlight the versatile roles of QS in intracellular persistence and pathogenesis.
In summary, our findings provide new insights into the intracellular lifestyle of E. faecalis and reveal a QS-driven strategy that regulates its intracellular-to-extracellular transition. This work also highlights that intracellular replication and egress dynamics are heterogeneous across infected cells, which may correlate with the differential phagosome trafficking and cytosolic escape previously reported for E. faecalis [6–8]. Furthermore, it has been long recognized that the fsr and gelE loci are genomically heterogenous among clinical isolates, but the functional significance of this has been unclear. Our work increasingly shows how this variability has phenotypic consequences, influencing QS activity and thereby shaping intracellular persistence and egress strategies during infection. Deciphering how bacterial genotype and host environments interact to control the intracellular-to-extracellular transition of E. faecalis will be critical for developing therapies that effectively clear persistent bacterial infections.
Materials and methods
Ethics statement
All animal infection procedures were approved and performed in accordance to the requirements of Institutional Animal Care and Use Committee in Nanyang Technological University (ARF SBS/NIEA0198Z). Murine wound infections were performed according to the approved animal use protocol (AUP) “Mechanisms of Polymicrobial Wound Infection” (AUP codes: A19061, A24066). Anonymized bacterial isolates used in this study did not require IRB approval, as described previously [49].
Bacterial strains and culture
Enterococcus faecalis strain OG1RF [80] and its derivative transposon insertion mutants [39], genetic deletion mutants and other isogenic strains (S1 Table), as well as strain JH2–2 [52] and clinical wound isolates of E. faecalis previously collected by Timothy Mark Sebastian Barkham from patients in Tan Tock Seng Hospital, Singapore (S2 Table) were all grown statically in Brain Heart Infusion (BHI) broth (Neogen, Singapore) and BHI + 1.5% Bacto-Agar (Becton-Dickinson, USA). For all experiments, bacterial suspensions were normalized to an optical density at 600 nm (OD600) of 0.5, corresponding to approximately 3.0 x 108 colony forming units (CFU)/mL, prior to further bacterial count normalisations. Where appropriate, we added chloramphenicol (Cm) at 10 μg/mL, rifampicin (Rif) at 25 μg/mL, spectinomycin (Spec) at 60 μg/mL (OG1RFS) or 120 μg/mL (plasmid selection), and erythromycin (Erm) at 25 μg/mL (E. faecalis) or 500 μg/mL (E. coli).
Mammalian cell culture
RAW264.7 cells (ATCC, USA) or RAW-Blue cells (Invivogen, Singapore), a derivative of RAW264.7 cells containing a SEAP reporter plasmid, were cultured in complete Dulbecco’s Modified Eagle Medium (complete DMEM; Gibco, Singapore) supplemented with 10% heat-inactivated fetal bovine serum (HI-FBS; Gibco, Singapore) at 37°C,5% CO2. 200 μg/mL Zeocin (Gibco, Singapore) was added for RAW-Blue cell line maintenance as per manufacturer’s protocol.
Antibiotic protection assay
1 x 106 or 3 x 105 RAW-Blue cells were seeded per well of a 6-well plate or 24-well plate respectively and left to attach overnight at 37°C, 5% CO2, and overnight cultures of E. faecalis were incubated statically at 37°C. The following day, overnight cultures were subcultured 1:10 in BHI broth to log-phase growth at 37°C, washed, and normalised to OD600 of 0.5 in complete DMEM. Macrophages were infected with E. faecalis at MOI 10, centrifuged at 500 x g for 5 min to enhance macrophage-bacteria contact, and incubated for 1 h at 37°C, 5% CO2. When indicated, the bacterial inoculum was pre-stained with eFluor 670 proliferation dye prior to normalization in DMEM, as described for flow cytometry. At 1 hpi, media was changed to complete DMEM with 10 μg/mL vancomycin (Sigma, USA) and 150 μg/mL gentamicin (MP Biomedicals, USA) to kill extracellular bacteria until indicated timepoints. Then, infected macrophages were washed thrice with Dulbecco’s phosphate buffered saline (DPBS; Gibco, Singapore) and lysed with 1 mL 0.1% Triton X-100 (Sigma, USA) in DPBS with vigorous pipetting. Lysates were serially diluted, spotted on BHI agar, and incubated at 37°C overnight for intracellular CFU enumeration. The antibiotic susceptibility of OG1RF, JH2–2 and selected clinical wound isolates tested in this antibiotic protection assay is verified in S5B Fig.
Molecular cloning
All plasmids were transformed and propagated in Stellar E. coli competent cells (TakaraBio, USA), which were cultured aerobically in LB with the appropriate antibiotics at 37°C, except for pFR213-transformed E. coli strains which were cultured aerobically in BHI with 100 μg/mL erythromycin at 30°C. Plasmids were extracted using Monarch Plasmid Miniprep Kit (New England BioLabs, Singapore) and verified by Sanger sequencing prior to transformation into E. faecalis. The plasmids and primers used in this study are detailed in S3 and S4 Tables respectively. All engineered strains were confirmed by whole genome sequencing to have the intended insertions/deletions with minimal off-target mutations.
Chromosomal insertions or deletions were performed by allelic exchange using the temperature sensitive shuttle plasmid pGCP213 [81] or its derivatives, pFR212 and pFR213, which were generated in this study as follows: DasherGFP was first PCR amplified from pBSU101::DasherGFP [82] using Q5 High-Fidelity DNA Polymerase (New England BioLabs, Singapore), and its ends were double-digested with SacI/SphI (New England Biolabs, USA). The insert was then ligated via T4 ligase (New England Biolabs, USA) to SacI/SphI-digested pSD15 [83], which contains full OG1RF_11778 (abbreviated to 11778) and OG1RF_11779 (abbreviated to 11779) sequences flanking the multiple cloning site for genomic insertion site for expression (GISE) [83], generating pSD15::DasherGFP. The constitutive DasherGFP promoter was then replaced via InFusion Cloning (TakaraBio, USA) with gelE promoter region (PgelE; -86 bp to +121 bp, relative to +1 transcriptional start site), which was PCR amplified from WT OG1RF genomic DNA, generating pSD15::PgelE-DasherGFP. The entire GISE cassette, which is the 11779-PgelE-DasherGFP-11778 sequence from pSD15::PgelE-DasherGFP, was then PCR amplified and ligated to pGCP213 via InFusion cloning, generating pFR212. Finally, a P-pheS* negative counterselection cassette was PCR-amplified from pRV1 [83,84] and ligated to pFR212 upstream of the GISE cassette via InFusion cloning to generate pFR213.
Chromosomal deletion strains ΔfsrA and ΔfsrBDC were generated as described previously [65]. Briefly, upstream (US) and downstream (DS) flanking regions were PCR-amplified from OG1RF genomic DNA and ligated by overlap extension PCR. The pGCP213 vector was linearized by inverse PCR, vector-insert ligation was performed via InFusion Cloning, and transformed into Stellar E. coli with selection on LB agar + Erm. Sequence-verified plasmids were extracted and transformed into WT OG1RF by electroporation, which were then serially passaged for allelic exchange to obtain plasmid-free chromosomal deletion strains. For the ΔgelE deletion mutant of OG1RFC, the chromosomal deletion was performed similarly as above, except using pFR213 instead of pGCP213, in which the full 11779-PgelE-DasherGFP-11778 cassette in pFR213 was replaced with the USgelE-DSgelE insert via InFusion cloning, generating pFR213::gelE_del. This allowed for a counterselection for plasmid-free clones by plating serial BHI cultures on MM9YEG agar supplemented with 10 mM p-chloro-phenylalanine (MM9YEG + p-Cl-Phe) [84]. Colonies on MM9YEG + p-Cl-Phe agar were then verified for Erm susceptibility, indicating loss of shuttle plasmid, prior to colony PCR. All deletion strains were verified by colony PCR and Sanger sequencing of the deletion locus using the respective sequencing primers indicated in S4 Table.
The generation of chromosomal complementation strains of ΔgelE (ΔgelE::gelE, E329A, E352A) have also been described previously [65]. Briefly, WT gelE allele including homologous flanking regions were PCR-amplified with OG1RF genomic DNA and subjected to overlap extension PCR, introducing a silent A29A (GCA > GCG) mutation to distinguish complementation gelE sequences from WT gelE allele. This complementation gelE insert was then ligated to pGCP213 via InFusion cloning, generating pGCP213::gelE. Site directed mutagenesis (SDM) by PCR was then performed on pGCP213::gelE using mutagenic primer pairs oFR80/oFR81 (E329A mutation) or oFR82/oFR83 (E352A mutation). The PCR products were treated with DpnI (New England Biolabs, USA), purified using the Wizard SV Gel and PCR Clean-Up Kit (Promega, USA) and re-ligated by InFusion cloning, generating pGCP213::gelEE329A and pGCP213::gelEE352A respectively. These plasmids (including pGCP213::gelE) were then separately electroporated into ΔgelE OG1RF and subjected to serial passaging for allelic exchange as described above. Correct gelE complementation was verified by colony PCR and Sanger sequencing of the gelE locus, as well as susceptibility of the complemented gelE locus to SacII digestion (New England Biolabs, USA).
To generate OG1RF-derived strains OG1RFC and OG1RFS for competitive infection, the PgelE-DasherGFP cassette from pFR212 was replaced via InFusion cloning with PCR-amplified chloramphenicol resistance gene cat from the EfaMarTn cassette [39] or spectinomycin resistance gene spc from pBSU101::DasherGFP [82], generating pFR212::cat and pFR212::spc respectively. Sequence-verified pFR212::cat and pFR212::spc plasmids were extracted and transformed into WT OG1RF by electroporation, and transformants were subjected to serial passaging for allelic exchange, similar to pGCP213 constructs. OG1RFC and OG1RFS clones were verified by colony PCR and Sanger sequencing, as well as for their susceptibility to erythromycin (indicating pFR212 plasmid loss) and their differential resistance against chloramphenicol and spectinomycin respectively (S13A Fig).
Agar-based gelatinase assay
Up to 5 μL of overnight OG1RF cultures were spotted onto Todd-Hewitt agar (Sigma-Aldrich, USA) supplemented with 3% gelatin (Sigma-Aldrich, USA), and incubated at 37°C overnight. The following day, the plates were incubated at 4°C for 1 h, allowing any degraded gelatin around the colony to form a halo, before imaging with ProtoCOL 3 system (Synbiosis, USA). Halo area, defined as the area between the halo edge and the colony edge, was measured using Fiji 2.9.0, normalized to the known area (in mm2) of the agar plate.
Western blot
Overnight cultures of WT and mutant OG1RF strains were subcultured 1:40 in 20 mL BHI broth and incubated for up to 24 h at 37°C. At indicated timepoints, 1 mL bacterial culture was pelleted at 12,000 x g for 5 min, for which all cultures were at similar bacterial densities and growth phases (S2A Fig). Supernatants were filtered through a 0.2 μm syringe filter (Pall, USA) to remove residual bacteria, and pellets (normalized to OD600 = 0.5 in 1 mL DPBS) were lysed in 10 mg/mL lysozyme for 1 h at 37°C. Both supernatants and cell lysates were denatured in 4X LDS Sample Buffer (Invitrogen, USA) at 100°C for 20 min, and 10 μL was loaded onto NuPAGE 4–12% Bis-Tris gel (Invitrogen, USA) and separated at 120 V, 100 min in ice-cold MOPS SDS Running Buffer (Invitrogen, USA). The gel was then transferred to a PVDF membrane using iBlot2 Gel Transfer Device (Thermo Scientific, USA), and blocked with 5% BSA (Sigma, USA) in Tris-buffered saline (Thermo Scientific, USA) + Tween-20 (Sigma, USA) (TBST) for 1 h at room temperature with shaking. The membrane was probed with 1:1000 rabbit anti-GelE polyclonal antibody (Invitrogen, Cat# PA5–117682, USA) or 1:3000 rabbit anti-SecA polyclonal antibody [85] in TBST + 1% BSA overnight at 4°C with shaking, followed by 1:5000 HRP-conjugated goat anti-rabbit IgG secondary antibody (Invitrogen, Cat# 32460, USA) in TBST + 1% BSA for 1 h at room temperature with shaking. Membranes were washed thrice with TBST after incubation with each antibody. Immunoblotted proteins were visualized with SuperSignal West Femto Maximum Sensitivity Substrate (Invitrogen, USA) in an Amersham IQ800 Imager (Cytiva, USA).
Whole genome sequencing analysis of E. faecalis wound isolates
Genomic DNA from 49 wound isolates of E. faecalis were isolated using DNEasy Blood And Tissue Kit (Qiagen, Germany) and whole genome sequencing reads were acquired using MiSeq V3 (300 bp paired-end) (Illumina, USA) to an average coverage of 18X per genome. The reads were quality- and adapter-trimmed using bbduk (bbtools v39.17) [86] to a minimum phred score of 20 and a minimum read length of 20. Draft genomes were then de novo assembled using SPAdes v4.1.0 [87] with the “--careful” setting, and the assembled contigs were analyzed by blastn v2.16.0 against OG1RF nucleotide sequences of fsrA, fsrB, fsrC and gelE to identify the presence or absence of these genes. The blastn results also indicated the start and end residues of any sequence match to pinpoint the deletion junction for partial matches. To identify sequence type, trimmed reads were directly analyzed by SRST2 v0.2.0 [88] with E. faecalis PubMLST database [89].
To compare the genomic locus surrounding fsrABDC/gelE, contigs from SPAdes were scaffolded to the V583 reference genome (Accession ID: NC_004668.1) using the scaffold function of RagTag v2.1.0 [90], and were passed as queries to blastn v2.16.0 against the genomic region corresponding to EF1814-EF1844 from the V583 reference genome. Matching query start and end positions were used to extract the genomic locus from the scaffolded contig of each strain, as well as published OG1RF reference genome (Accession ID: NC_017316.1) and JH2–2 genomic scaffold (Accession ID: KI518257.1), using samtools faidx v1.21 [91], which was subsequently annotated by prokka v1.14.6 [92] using V583 GenBank annotation (Accession ID: NC_004668.1) as reference via the “--proteins” option, and clustered and visualized for gene cluster similarity by clinker v0.0.31 [93].
Flow cytometry of replicating intracellular bacteria in macrophage lysates
Detection of intracellular bacteria replication using eFluor 670 amine-reactive proliferation dye was adapted from Flannagan and Heinrichs [94]. Log-phase E. faecalis cultures in BHI were pelleted at 12,000 x g for 5 min, washed thrice with DPBS, and stained with 10 μM eFluor 670 (eBioscience, Singapore) in DPBS, at room temperature for 30 min with shaking (200 rpm). eFluor 670-stained bacteria were then washed once with BHI broth to quench unreacted eFluor 670, and once with DPBS to wash off excess media. Bacteria were then normalized to MOI 10 in complete DMEM and used for infecting macrophages as described for the antibiotic protection assay.
At indicated infection timepoints, 600 μL of intracellular lysates were aliquoted, kept on ice, and blocked for 15 min in DPBS with 2% BSA. Intracellular E. faecalis was labelled with 1:500 rabbit anti-Streptococcus Group D polyclonal antibody (anti-AgD; American Research Products, Cat# 12-6231D, USA) for 15 min at room temperature, followed by 1:1000 Alexa Fluor 488-conjugated goat anti-Rabbit IgG (Invitrogen, Cat# A11034, USA) for 15 min at room temperature. Washing with staining buffer was done after every immunolabelling step. Samples were then resuspended in 200 μL staining buffer and kept on ice until analysis using BD C6 Accuri flow cytometer (Becton Dickinson, USA).
Cell sorting of infected macrophages
Prior to infection, WT OG1RF was transformed with pBSU101::DasherGFP (S3 Table, hereby referred to as pDasher OG1RF) for the constitutive expression of GFP. pDasher OG1RF was maintained in BHI agar supplemented with 120 μg/mL spectinomycin and was freshly transformed for every independent replicate. Macrophages were infected using the antibiotic protection assay with proliferation dye staining, in which RAW-Blue cells were seeded at 1 x 106 cells/well in four to eight 6-well plates per timepoint and pDasher OG1RF were inoculated and subcultured in BHI broth + 120 μg/mL spectinomycin. eFluor-stained pDasher OG1RF were normalised to MOI 10 in DMEM + 10% FBS with no spectinomycin, and macrophages were infected as described in the antibiotic protection assay. At 2, 6 and 20 hpi, the antibiotic media was aspirated, and the infected macrophages were gently scraped and collected in ice-cold 2% BSA in DPBS. Collected macrophages were pelleted at 500 x g, 4°C for 5 min, resuspended in 1–3 mL ice-cold 2% BSA in DPBS, and sorted into eFluor+GFPhi and eFluor+GFPlo populations in a cooled FACSFusion Cell Sorter (Becton-Dickinson, USA). Sorted cell suspensions were pelleted and resuspended in 800 μL ice-cold TRIZol reagent (Invitrogen, USA) to be transferred to Lysing Matrix B tubes (MP Biomedicals, USA). In parallel, E. faecalis (107 CFU inoculum) was separately grown without macrophages in DMEM + 10% FBS for 6 h, and were harvested and resuspended in Trizol without cell sorting. All Lysing Matrix B tubes were homogenised in a FastPrep-24 Bead Beating System (MP Biomedicals, USA) for one round at 6.0 m/s, 40 s and stored at -80°C prior to RNA extraction. To image sorted cell populations, approximately 10,000 eFluor+GFPhi and eFluor+GFPlo cells were each sorted, fixed in 4% paraformaldehyde (PFA; Sigma, USA) in DPBS for 15 min at room temperature, and resuspended in 1:1000 Hoechst 33342 (Invitrogen, Cat# H1399, USA) in PBS for 20 min at room temperature. Cells were then resuspended in 5 μL ProLong Glass Antifade Mountant (Invitrogen, Cat# P36980, USA) and spotted onto glass slides. Microscopy images were acquired at NTU Optical Bio-Imaging Centre (NOBIC) imaging facility at SCELSE using the LSM 780 confocal laser scanning microscope (Carl Zeiss, Germany) equipped with 405 nm, 488 nm, 561 nm, and 633 nm lasers.
Total RNA extraction and quantitative PCR (qPCR)
Frozen TRIZol samples were thawed on ice, and RNA was extracted by phenol-chloroform extraction followed by purification of the aqueous phase using RNeasy Mini Kit with on-column DNAse I digestion (Qiagen, USA) following manufacturer protocols. The quantity and quality of extracted RNA were assessed by Qubit RNA Broad Range and/or High Sensitivity kits (Invitrogen, USA) and RNA ScreenTape (Agilent, USA) respectively. Approximately 250 ng of RNA from each sample was reverse transcribed using SuperScript III First-Strand Synthesis SuperMix (Invitrogen, USA) with random hexamers as primers to capture both host and bacterial RNA, and the resulting cDNA was diluted 1:10 for use as template in gene expression analysis by qPCR. qPCR primer efficiency was determined by performing qPCRs on 10-fold serial dilutions of pooled cDNA (1:2–1:2000) and calculating efficiency (in %) using StepOne software v2.3 (Applied Biosystems, USA). Primer pairs with efficiency 90–100% were selected for subsequent qPCR experiments. All qPCR reactions were performed in three technical replicates, including no-template controls, using KAPA SYBR FAST qPCR Kit (Roche, USA) and StepOnePlus Real-Time PCR System (Applied Biosystems, USA), according to manufacturer protocols. Data were analyzed using the -ΔΔCt method and presented as log2 fold change (log2FC) relative to the control group (2 hpi GFPlo) and to the recA housekeeping gene. The primers used for qPCR are listed in S4 Table.
Lactate dehydrogenase cytotoxicity assay
To assess host cell cytotoxicity, supernatants from infected and uninfected macrophages were collected in 4 technical replicates at 2, 6 and 20 hpi following antibiotic protection assay, and subjected to the Cytotoxicity Detection Kit (LDH) (Roche, USA) following manufacturer instructions. Media-only controls and 100% dead controls (uninfected cells that were fully lysed using 0.1% Triton X-100, 30 min before each timepoint) were included as 0% and 100% cytotoxicity controls. Cytotoxicity was calculated as follows:
in which AS represents the average absorbance at 490 nm (A490) of 4 technical replicates, A0 represents the average A490 from media-only controls (0% cytotoxicity), and Amax represents average A490 of 100% dead controls (100% cytotoxicity).
Modified antibiotic protection assay for egress measurements
To determine the minimum inhibitory concentration of vancomycin for OG1RF, 2 μL of overnight cultures of OG1RF strains were inoculated to 200 μL of colorless DMEM (Gibco, Singapore) supplemented with 10% HI-FBS and indicated concentrations of vancomycin in a 96-well plate and incubated overnight at 37°C, 5% CO2. Bacterial growth after 24 h of incubation was measured as absorbance at 600 nm (Abs600) using a Tecan Infinite M200 microplate reader (Tecan, Switzerland).
For egress measurements, RAW-Blue macrophages were infected at MOI 10 in an antibiotic protection assay. At 6 hpi, the media was sampled for CFU enumeration to ensure that no extracellular bacteria were present at the start of the measurements. The cells were then washed thrice with DPBS, the media was replaced with complete DMEM supplemented with 5 μg/mL vancomycin, and then re-incubated at 37°C, 5% CO2 for up to 12 hpi. 100 μL of the media was sampled hourly for serial dilution and CFU quantification on BHI agar, and replaced with 100 μL of fresh complete DMEM + 5 μg/mL vancomycin.
For E. faecalis-only bacteriostatic controls, 1 μL of MOI 10/mL-normalised E. faecalis cultures (~1 x 104 CFU) were inoculated onto 2 mL complete DMEM + 5 μg/mL vancomycin in 6-well plates, and incubated at 37°C, 5% CO2 for up to 6 h. These cultures were sampled hourly as described above to determine viable bacteria CFU in the bacteriostatic media.
Confocal microscopy of infected macrophages
To visualise infected macrophages, RAW-Blue cells were seeded on glass coverslips in 6-well plates (5 x 105 cells/well), and antibiotic protection assay at an MOI of 10 was performed. For visualisation of replicating bacteria, macrophages were infected with E. faecalis pre-stained with eFluor 670 as described for flow cytometry. At 20 hpi, infected macrophages were washed thrice with DPBS and fixed with 4% PFA for 15 min at room temperature. For egress experiments, at 6, 9 and 12 hpi, infected macrophages were spun down at 500 x g for 5 min to sediment any extracellular bacteria. Then, half of the culture media was carefully removed from the top and replaced with an equivalent volume of 8% PFA (final concentration = 4%) for 15 min at room temperature to fix the cells and extracellular bacteria. Subsequently, for all experiments, fixed cells were washed thrice with DPBS and permeabilized with 0.1% Triton X-100 for 20 min at room temperature. Samples were then blocked 2% BSA in DPBS (staining buffer) and immunolabelled with 1:500 rabbit anti-AgD in staining buffer overnight at 4°C, followed by 1:1000 Alexa Fluor 488-conjugated goat anti-Rabbit IgG for 1 h at room temperature. All samples were then stained with 1:1000 phalloidin-Alexa Fluor 568 (Invitrogen, Cat# A12380, USA) and 1 μg/mL Hoechst 33342 for 20 min at room temperature before mounting on glass slides using ProLong Glass Antifade Mountant. DPBS washes were done between every staining step. Confocal microscopy was performed at NTU Optical Bio-Imaging Centre (NOBIC) imaging facility at SCELSE using an LSM780 laser scanning confocal microscope (Carl Zeiss, Germany). Representative images are shown as maximum intensity projections of Z-stack acquisitions (0.32 μm sections) with orthologous Z-stack projections shown in blue or red adjacent boxes.
Cytosolic staining of intracellular E. faecalis was performed using a differential permeabilization method previously described for cytosolic S. pyogenes and Salmonella [57,56]. Briefly, following antibiotic protection assay at 2, 4 and 6 hpi, cells were washed and equilibrated ice-cold KHM buffer, before being permeabilized with 50 μg/mL digitonin for exactly 5 min on ice. Subsequently, cells were washed once with ice-cold KHM buffer and once with DPBS, and then incubated with 1:500 rabbit anti-AgD in DPBS + 10% FBS for 30 min at room temperature. Cells were then fixed with 4% PFA and stained with 1:1000 Alexa Fluor 488-conjugated anti-Rabbit IgG (Invitrogen, Cat# A11034, USA) for 1 h at room temperature. To stain for total bacteria, these cells were permeabilized with 0.1% saponin (Sigma, USA) + 10% FBS in DPBS (hereby called permeabilization buffer) for 15 min, then stained with 1:500 anti-AgD in permeabilization buffer overnight at 4°C, and subsequently with 1:1000 Alexa Fluor 568-conjugated goat anti-Rabbit IgG (Invitrogen, Cat# A11011, USA) in permeabilization buffer for 1 h at room temperature. Cells were then counterstained with 1 μg/mL Hoechst 33342 in permeabilization buffer for 20 min at room temperature before mounting onto glass slides. Cells were washed with DPBS (cytosolic bacteria staining) or permeabilization buffer (total bacteria staining) between staining steps. Confocal microscopy and Z-stack acquisition was performed as described previously. RAW-Blue cells infected with PFA-fixed E. faecalis were used as non-cytosolic controls.
Transmission electron microscopy
RAW264.7 cells were seeded on glass coverslips in 6-well plates (1 x 106 cells/well), and antibiotic protection assay at an MOI of 10 was performed. At 6 hpi, infected macrophages were washed thrice with PBS and fixed with 2.5% glutaraldehyde and 2% PFA for 1 hour at room temperature. Cells were scraped, pelleted, and washed with PBS. Pelleted cells were then post-fixed, stained and dehydrated as described previously [95], except that uranyl acetate staining was done at 4°C overnight and dehydration by the graded ethanol series was done as follows: 2 x 50%, 70%, 90%, 2 x 100% ethanol for 10 min each, then followed by 100% ethanol for 30 min and 2 x propylene oxide for 10 min. Cells were infiltrated with Epon:propylene oxide (1:1) for 1 h, followed by infiltration with fresh 100% Epon overnight, and then embedded in resin-filled gelatin capsules and polymerized in oven at 60°C for 48 h. 50 nm thin sections were cut with Leica EMFC7 ultramicrotome and diamond knife (DiATOME) and collected onto Cu 100-hexagonal EM grid coated with Formvar plastic support film. Sections were imaged with Morgagni TEM (FEI, Netherlands) operating at 80 kV acceleration voltage equipped with Veleta side-mounted CCD camera controlled by iTEM camera software (Olympus-Soft Imaging Solutions) at the Electron Microscopy Facility (PFMU), Faculty of Medicine, University of Geneva.
Murine excisional wound infection model
Murine wound infection was performed as described previously [48,96]. Briefly, overnight cultures of OG1RF, OG1RFC or OG1RFS strains were washed thrice with PBS and normalised to ~2.6 x 108 CFU/mL in PBS. For mixed species infection, the strains were mixed 1:1 (equivalent to ~2 x 108 CFU/mL per strain) prior to infection. 7–10-week-old C57BL/6J male mice were anaesthetised, their dorsal hair trimmed by shaving and Nair depilatory cream application (Church & Dwight Co. Inc., USA), and their skin disinfected. Then, wounds were created using a 6-mm biopsy punch (Integra Miltex, USA), and 10 μL of the bacteria suspension (approximately 2.6-4 x 106 CFU) was applied and sealed with a clear wound dressing (Tegaderm 3M, USA). Mice were then euthanized at 1, 3 or 5 dpi, and wounds were excised into sterile DPBS in Lysing Matrix M (MP Biomedicals, USA). Wound were homogenized using FastPrep-24 Bead Beating System (MP Biomedicals, USA) in 5 rounds of 4.0 m/s, 20 s each. Wound homogenates were serially diluted in DPBS and plated onto BHI agar with 25 μg/mL rifampicin (OGIRF and OG1RFC + OG1RFS total counts), 60 μg/mL spectinomycin (OG1RFS) and 10 μg/mL chloramphenicol (OG1RFC) for output CFU enumeration. The competitive index (CI) of mixed-species infection was calculated as .
To quantify intracellular bacteria in infected mice wounds, wound sections were excised at 1, 3 or 5 dpi and transferred into 24-well plates containing FBS-free DMEM supplemented with 500 μg/mL gentamicin and 500 μg/mL penicillin G. 250 μg/mL Liberase TL (Merck, USA) was added to this antibiotic-containing DMEM and incubated for 1 h at 37°C, 5% CO2 with occasional shaking to dissociate wound cells and kill extracellular bacteria. Complete DMEM was added to stop tissue dissociation and wounds were flushed to collect the wound cell suspension. Cells were pelleted at 1000 x g, 5 min, 4°C and resuspended in 1 mL 10% FBS in DPBS for washing. Cells were pelleted once more and then lysed with 0.1% Triton X-100 in DPBS for 30 min to release the intracellular bacteria. Lysates were serially diluted and plated on BHI agar + 25 μg/mL rifampicin for CFU enumeration. For total CFU quantification using this enzymatic dissociation method, antibiotics were excluded during the tissue harvest and dissociation steps. 20 μL of the cell suspension was then transferred into 180 μL of 0.1% Triton X-100 in DPBS (10X dilution) for 30 min to release any intracellular bacteria, followed by serial dilution in PBS and plating on BHI agar + 25 μg/mL rifampicin for CFU enumeration.
To analyze the host cell profile of infected mice wounds at 5 dpi, wound cells dissociated with Liberase TL in antibiotic-containing DMEM were resuspended in 200 μL staining buffer (2% BSA in DPBS). 50 μL of each cell suspension was aliquoted and blocked with 1:50 TruStain FcX PLUS anti-mouse CD16/32 antibody (BioLegend, Cat# 156604, USA) for 30 min on ice, followed by staining with 50 μL antibody cocktail of BV510 anti-mouse CD45 (BioLegend, Cat# 103138, USA), APC anti-mouse Ly6G (BioLegend, Cat# 127614, USA), BV421 anti-mouse Ly6C (BioLegend, Cat# 128031, USA), PE anti-mouse/human CD11b (BioLegend, Cat# 101208, USA), and BV711 anti-mouse F4/80 (BioLegend, Cat# 123147, USA), each diluted to a final concentration of 1:100 in staining buffer, for 1 h on ice. The cells were then washed once with cold staining buffer, fixed with 4% PFA for 20 min at room temperature, and then stored in staining buffer overnight at 4°C. The following day, cells were permeabilized for intracellular staining by washing thrice with Intracellular Staining Permeabilization Wash Buffer (BioLegend, Cat# 421002, USA; hereby called permeabilization buffer). Then, cells were stained with 1:500 rabbit anti-AgD diluted in permeabilization buffer for 30 min at room temperature, washed with permeabilization buffer once, and stained with 1:1000 Alexa Fluor 488-conjugated goat anti-rabbit IgG diluted in permeabilization buffer for 30 min at room temperature. Cells were then resuspended in 500 μL staining buffer, and 400 μL of the cell suspension was aliquoted and mixed with 100 μL AccuCheck Counting Beads (Invitrogen, Cat# PCB100, USA) for analysis using BD LSRFortessa X-20 flow cytometer (Becton Dickinson, USA). Flow cytometry compensation was achieved using the AbC Total Antibody Compensation Bead Kit (Invitrogen, USA) following manufacturer protocols, and fluorescence-minus-one (FMO) controls were included to set gating thresholds. AgD+ events were gated from the histogram using AgD-stained, mock-infected wound cells as AgD- gating threshold (S14 Fig).
Data and statistical analysis
Graphs and statistical analyses were performed in GraphPad Prism 9.01 (GraphPad, USA). For flow cytometry data, visualization and quantification of populations were done using FlowJo v10.8.0 (Becton Dickinson, USA). Error bars were represented as means ± standard deviation (SD) or means ± standard error of mean (SEM), as indicated in the respective figure captions. Statistical tests were indicated in individual figure captions, with statistical significance represented as follows: * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001.
Supporting information
S1 Fig. Intracellular CFU of E. faecalis in RAW264.7 macrophages peaks at 6 hpi for WT OG1RF and is comparable at 2 hpi across OG1RF strains tested.
(A) Antibiotic killing kinetics under conditions used for extracellular killing of E. faecalis in the antibiotic protection assay. E. faecalis OG1RF log-phase cultures inoculated at 107 (MOI 10 equivalent; purple lines) or 104 CFU (pink lines) are not recovered after ≥ 1 h of vancomycin (10 μg/mL) + gentamicin (150 μg/mL) treatment in DMEM + 10% FBS, in the absence of host cells. Data points are mean ± SD of n = 3–4. LOD = limit of detection. (B) Cytotoxicity measurements of infected macrophages during the antibiotic protection assay. WT OG1RF infection data, shown here for ease of presentation, are also shown in Fig 5A in the experimental context (comparison to mutant strains) they were originally collected from. Statistical significance between timepoints was assessed by one-way ANOVA with Tukey’s multiple comparisons test (n = 5). n.s. = not significant. (C) Intracellular CFU in RAW264.7 macrophages infected with WT OG1RF at 2, 6, and 20 hpi using the antibiotic protection assay. Counts from the same biological replicate are connected by dotted lines (n = 8–12). (D) Fold-change analysis of intracellular CFU quantified in (C), normalized to the intracellular CFU at 2 hpi for each biological replicate. Dotted line indicates baseline CFU at 2 hpi (fold-change CFU = 1.0). Statistical significance between 6 and 20 hpi was assessed by unpaired T-test (n = 8–12). (E-F, H) Intracellular CFU in RAW264.7 macrophages infected with OG1RF-derived (E) mutants of genes implicated in intracellular persistence (blue), virulence (orange), or GelE proteolytic targets (pink) (n = 5–18), (F) genetic deletion mutants of the fsr operon and gelE as well as a transposon insertion mutant of sprE (n = 5–9) or (H) gelE-complemented strains at 2 hpi (n = 4). Statistical significance of each strain against WT was assessed using one-way ANOVA with Dunnett’s multiple comparisons test. * = p < 0.05. (G) Gelatinase activity of sprE::Tn (representative of n = 3) compared to WT (n = 1) on Todd-Hewitt agar + 3% gelatin at 24 h. Halo formation (white dashed line) indicates gelatinase activity.
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S2 Fig. Proteolytic mutants E329A and E352A show defects in extracellular secretion and autocatalytic processing of GelE.
(A) Growth curve of OG1RF deletion and complementation strains in BHI broth for 24 h following 1:40 subculture from overnight cultures, plotted as mean ± SD of n = 2 with 4–5 technical replicates each. Timepoints analyzed for GelE production are marked in grey dashed lines. (B) Detection of intracellular GelE from E. faecalis cell lysates at 4, 12 and 24 h (harvested together with supernatants in Fig 1G and 1J). The membrane protein SecA was included as loading controls. White arrowheads = Pro-GelE (~55 kDa). < 50 kDa bands are also observed in ΔgelE cell lysates and are therefore likely non-specific. Images from n = 1 are shown.
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S3 Fig. Catalytic E329 and zinc-coordinating E352 in the GelE active site are structurally conserved in GelE and other M4-family metalloproteases.
Identification of putative key GelE active site residues E329 and E352 for proteolytic activity, based on structural homology of AlphaFold2-predicted GelE structure (pink) to other M4 family zinc metalloproteases ProA (PDB 6YA1; white) and vibriolysin MCP-02 (PDB 3NQX; yellow). Based on previous studies, only mutations in residues E346 and E369 of MCP-02 (homologous to E329 and E352 of GelE respectively) produced stable, non-proteolytic proteases (Gao et al, 2010). Protein structures were aligned in WinCoot v1.1.18 using the Secondary Structure Matching (SSM) Superpose function and visualized in PyMOL v2.5.3.
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S4 Fig. fsrABDC-gelE+ and fsrABDC-gelE- wound isolates of E. faecalis show distinct and conserved genomic deletions.
(A) Blastn query matches of contigs from all fsrABDC-gelE+ strains to fsrA, fsrBDC, fsrC or gelE. The “Start” and “End” columns indicate nucleotide positions of matches in the respective genes, while dashes indicate no matches, as visually represented by the schematic diagram. Sequence type (ST) of each strain is shown, with asterisks (*) indicating uncertainties in SRST2 sequence type calling. (B) Alignment of the genomic region corresponding to EF1814-EF1844 of the V583 reference genome for E. faecalis wound isolates. OG1RF and JH2–2 were included as reference strains. Genes with sequence identity > 30% are connected by shaded lines, colored by identity (%) as indicated in the legend. Colored arrows indicate fsrA, fsrBDC, gelE and sprE operons, as well as other genes flanking genomic deletion regions. Inset shows a diagrammatic summary of the conserved genomic deletions or insertions observed. The corresponding GelE producing phenotype for each strain (as reported in Fig 2A) are shown on the left. Strains highlighted in red are further tested by in vitro antibiotic protection assay (Fig 2B and 2D and S5).
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S5 Fig. Selected wound isolates of E. faecalis exhibit gelatinase activity expected from their genotype and are phenotypically gentamicin-susceptible for the antibiotic protection assay.
(A) Gelatinase activity of E. faecalis wound isolates and JH2–2 on Todd-Hewitt agar + 3% gelatin at 24 h. Halo formation (white dashed line) indicates gelatinase activity. Genotypes of wound isolates are indicated on the left. Representative images of n = 3 are shown. (B) Validation of bactericidal activity of vancomycin (10 μg/mL) + gentamicin (150 μg/mL) on log-phase cultures of E. faecalis wound isolates and laboratory strains (JH2–2; OG1RF WT, ΔfsrABDC, ΔgelE). Representative images from post-treatment serial dilutions are shown (n = 3). Left column = untreated controls.
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S6 Fig. Clinical fsrABDC-gelE+ strain EF_1008 may exhibit low-level Fsr-independent expression of gelatinase.
Detection of GelE secretion in culture supernatants of WT (fsrABDC+gelE+ control), ΔfsrABDC (fsrABDC-gelE+ control), ΔgelE (gelE- control), and selected clinical fsrABDC-gelE+ strains (shown in Figs 2 and S5) at 4, 12 and 24 h by Western blotting. The same blot was imaged twice at low exposure time (30 s) and high exposure time (8 min). Images from n = 1 are shown. CTD = C-terminal domain.
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S7 Fig. Infection efficiency at 2 hpi is comparable between GelE+ WT and GelE- deletion strains.
Flow cytometry analysis of RAW264.7 macrophages at 2 hpi infected with GFP-expressing WT (GelE+, gray bar), ΔfsrABDC (GelE-, orange bar) or ΔgelE (GelE-, orange bar) pre-stained with eFluor 670, showing the gating strategy and proportion of eFluor 670+ macrophages (infected macrophages). Uninfected macrophages are used as gating controls. Bars represent mean ± SD of n = 3, and representative dotplots from n = 3 are shown. Statistical significance was assessed by one-way ANOVA with Tukey’s multiple comparisons test. n.s. = not significant.
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S8 Fig. Detection of replicating intracellular E. faecalis from macrophage lysate by flow cytometry analysis of eFluor 670 proliferation dye.
(A) Serial dilution of eFluor 670 proliferation dye in actively replicating E. faecalis pDasherGFP OG1RF cultures in colorless DMEM + 10% FBS over 6 h. Bacterial cultures were aliquoted hourly for flow cytometry analysis. Representative histograms of n = 3 are shown. (B) Gating strategy for eFluor 670 analysis of intracellular E. faecalis released from infected RAW264.7 lysates. E. faecalis stained for Group D antigen (AgD) was gated as Alexa Fluor 488+ events. Debris at the histogram edges (<100 and >107 fluorescence intensity) were gated out prior to histogram bisection for accurate quantification of eFluor+ and eFluor- events.
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S9 Fig. fsr/gelE deletion mutants of E. faecalis OG1RF do not exhibit growth rate differences in macrophage cell culture media.
fsr/gelE deletion mutants were grown in colorless DMEM + 10% FBS for 24 h and the absorbance at 600 nm (Abs600) was measured at 30 min intervals. Colorless DMEM + 10% FBS is used as a negative control. Growth curve is plotted as a mean ± SD of n = 2 with 10 technical replicates each.
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S10 Fig. Expression of Fsr quorum sensing is lower in intracellular populations relative to extracellular E. faecalis.
Relative gene expression of fsrABDC and its associated regulon in intracellular E. faecalis populations (2 hpi GFPlo, 6 hpi GFPlo, 6 hpi GFPhi) compared to extracellular E. faecalis grown for 6 h in the absence of macrophages. Relative expression is calculated by the -ΔΔCt method, normalised to the housekeeping gene recA and to the gene expression of 6 h extracellular E. faecalis. Bars represent mean ± SEM of n = 4. Statistical significance of each population against 6 h extracellular E. faecalis was assessed using one-way ANOVA with Dunnett’s multiple comparisons test. Only comparisons with p < 0.05 are annotated. * = p < 0.05, ** = p < 0.01, *** = p < 0.001, **** = p < 0.0001.
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S11 Fig.
5 μg/mL vancomycin is sufficient for a bacteriostatic effect on extracellular E. faecalis with minimal bactericidal effect. (A) Determination of minimum inhibitory concentration of vancomycin by broth microdilution in colorless DMEM + 10% FBS for OG1RF WT and fsr/gelE deletion mutants. Bacterial growth was measured as absorbance at 600 nm (Abs600), represented in the heatmap as mean of n = 2. (B-C) Validation of bacteriostatic effect of 5 μg/mL vancomycin for (B) fsr/gelE deletion mutants (n = 4) or (C) gelE-complemented strains (n = 3). Recovered bacteria CFU is expressed in log10(CFU/mL) as mean ± SD of n = 3–4.
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S12 Fig. WT and ΔgelE OG1RF heterogenously escape to and replicate in the cytosol.
(A) Representative confocal microscopy images of RAW264.7 macrophages infected with eFluor-stained (white) WT and ΔgelE E. faecalis at 2, 4 and 6 hpi (n = 2). Samples were first weakly permeabilized by digitonin to allow staining of only cytosolic bacteria using Enterococcus-specific antibody (green), and then fully permeabilized, including permeabilization of intracellular compartments, for total bacteria staining by the same antibody (magenta), following by counterstaining for dsDNA (blue). 6 hpi infection with PFA-fixed WT E. faecalis was used as non-proliferative, non-cytosolic controls. White and yellow arrows indicate non-cytosolic bacteria population that is non-replicating (eFluor 670+) and replicating (eFluor 670-) respectively. (B) Transmission electron microscopy images of intracellular WT and ΔgelE at 6 hpi, showing non-cytosolic bacteria encapsulated by a single membrane (blue arrows) and likely cytosolic bacteria not encapsulated in a membrane-bound compartment (red arrows). Images from n = 1 are shown.
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S13 Fig. Differential CFU quantification of OG1RFC and OG1RFS strains during a competitive model of wound infection.
(A) Validation of growth selection of isogenic strains OG1RFC and OG1RFS on chloramphenicol (Cm, 10 μg/mL) and spectinomycin (Spec, 60 μg/mL) BHI plates respectively, compared to parental strain OG1RF. Rifampicin (Rif, 25 μg/mL) and erythromycin (Erm, 25 μg/mL) were used as positive and negative growth controls of antibiotic selection respectively. (B-D) CFU quantification from wound homogenates on antibiotic agars, selecting for (B) total OG1RFC + OG1RFS, (C) OG1RFC, and (D) OG1RFS. Black bars represent median of 3–5 animals per infection group from one independent experiment. Statistical significance between infection groups of the same timepoint was assessed using Mann-Whitney test. Only comparisons with p < 0.05 are annotated. Dotted lines show bacteria inoculum CFU.
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S14 Fig. Flow cytometry gating and quantification of dissociated cells from 5 dpi WT, ΔgelE or mock-infected murine wounds.
Wound cells (yellow panel) as well as AccuCheck Counting Beads A and Beads B (blue panel) were gated from forward-scatter/side-scatter (FSC/SSC) dotplots. Single cells from the wound were then separately gated for CD45+ (immune cells) or CD45- (non-immune cells), and CD45+ cells were further separated into Ly6G+ (neutrophils) and Ly6G- populations. CD45+ Ly6G- populations were subsequently gated into Ly6C+ (monocytes), Ly6C- F4/80+ (macrophages), and Ly6C- F4/80- (other immune cells) populations. Cell counts from each gated population were normalized to the total Bead A + Bead B count from each sample. Each immune cell subpopulation was further analyzed into AgD+ (infected) and AgD- (uninfected) cells, with AgD+ threshold determined in histograms based on AgD- mock-infected samples.
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S15 Fig. Innate immune cell profile of 5 dpi WT, ΔgelE or mock-infected murine wounds.
(A) Cell counts from gated populations described in S14 Fig, normalized to AccuCheck Counting Bead counts. (B) Percentage of gated populations relative to all single cells (CD45+/CD45- population) or all CD45+ cells (immune cell populations). Bars represent median from 6-9 mice from two independent experiments. For each cell population, statistical significance was assessed using Kruskal-Wallis test with Dunn’s multiple comparison test. * = p < 0.05, ** = p < 0.01, *** = p < 0.001.
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S1 Table. Strains used in this study.
Numbers after the gene name indicate position (in bp) within the protein coding sequence where the transposon is inserted for gene disruption.
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S2 Table. Details of the wound clinical isolates tested in this study.
Asterisks (*) indicating uncertainties in sequence type (ST) calling by SRST2. + and – indicates genotype/phenotype presence and absence, respectively.
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S1 Data. Uncropped Western blot images for Figs 1G, 1J, S2B and S6.
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S2 Data. Raw values used to plot all graphs in this study.
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Acknowledgments
We thank Ronni Anderson Gonçalves da Silva, Navin Jeyabalan, Antonin André and Michelle Huiying Fan for the insightful discussions about this project. We thank Gary Dunny for providing the annotated EfaMarTn transposon library, Timothy Mark Sebastian Barkham for providing the clinical wound isolates from Tan Tock Seng Hospital, Singapore, and Lok Neng Too for assisting in the molecular cloning procedures. We also thank Chen Kaiwen and Safwah Nasuha, as well as the Flow Cytometry Laboratory for facilitating the cell sorting runs at Centre for Life Sciences, National University of Singapore. Finally, we thank Navin Jeyabalan, Logeshwari Muthualagu Natarajan and Rachel Jing Wen Tan for their assistance in performing murine wound infections, and to Mélanie Roch and Antonin André for their critical reading of this manuscript.
References
- 1. Fiore E, Van Tyne D, Gilmore MS. Pathogenicity of Enterococci. Microbiol Spectr. 2019;7(4):7.4.9.
- 2.
Garsin DA, Frank KL, Silanpää J, Ausubel FM, Hartke A, Shankar N. Pathogenesis and models of enterococcal infection. In: Gilmore MS, Clewell DB, Ike Y, Shankar N, editors. Enterococci: From commensals to leading causes of drug resistant infection. Boston: Massachusetts Eye and Ear Infirmary; 2014.
- 3. Archambaud C, Nunez N, da Silva RAG, Kline KA, Serror P. Enterococcus faecalis: an overlooked cell invader. Microbiol Mol Biol Rev. 2024;88(3):e0006924. pmid:39239986
- 4. Millán D, Chiriboga C, Patarroyo MA, Fontanilla MR. Enterococcus faecalis internalization in human umbilical vein endothelial cells (HUVEC). Microb Pathog. 2013;57:62–9. pmid:23174630
- 5. Olmsted SB, Dunny GM, Erlandsen SL, Wells CL. A plasmid-encoded surface protein on Enterococcus faecalis augments its internalization by cultured intestinal epithelial cells. J Infect Dis. 1994;170(6):1549–56. pmid:7995995
- 6. da Silva RAG, Tay WH, Ho FK, Tanoto FR, Chong KKL, Choo PY, et al. Enterococcus faecalis alters endo-lysosomal trafficking to replicate and persist within mammalian cells. PLoS Pathog. 2022;18(4):e1010434. pmid:35390107
- 7. Gentry-Weeks CR, Karkhoff-Schweizer R, Pikis A, Estay M, Keith JM. Survival of Enterococcus faecalis in mouse peritoneal macrophages. Infect Immun. 1999;67(5):2160–5. pmid:10225869
- 8. Zou J, Shankar N. The opportunistic pathogen Enterococcus faecalis resists phagosome acidification and autophagy to promote intracellular survival in macrophages. Cell Microbiol. 2016;18(6):831–43. pmid:26663775
- 9. Rakita RM, Vanek NN, Jacques-Palaz K, Mee M, Mariscalco MM, Dunny GM, et al. Enterococcus faecalis bearing aggregation substance is resistant to killing by human neutrophils despite phagocytosis and neutrophil activation. Infect Immun. 1999;67(11):6067–75. pmid:10531268
- 10. Stocks CJ, da Silva RAG, Antypas H, Jeyabalan N, Wong SL, Kline KA. Enterococcus faecalis persists and replicates intracellularly within neutrophils. Infect Immun. 2026;94(1):e0036425. pmid:41400490
- 11. Wells CL, Jechorek RP, Erlandsen SL. Evidence for the translocation of Enterococcus faecalis across the mouse intestinal tract. J Infect Dis. 1990;162(1):82–90. pmid:2113080
- 12. Nunez N, Derré-Bobillot A, Trainel N, Lakisic G, Lecomte A, Mercier-Nomé F, et al. The unforeseen intracellular lifestyle of Enterococcus faecalis in hepatocytes. Gut Microbes. 2022;14(1):2058851. pmid:35373699
- 13. Wells CL, Maddaus MA, Simmons RL. Proposed mechanisms for the translocation of intestinal bacteria. Rev Infect Dis. 1988;10(5):958–79. pmid:3055194
- 14. Tuchscherr L, Medina E, Hussain M, Völker W, Heitmann V, Niemann S, et al. Staphylococcus aureus phenotype switching: an effective bacterial strategy to escape host immune response and establish a chronic infection. EMBO Mol Med. 2011;3(3):129–41. pmid:21268281
- 15. Bao Y, Sakinc T, Laverde D, Wobser D, Benachour A, Theilacker C, et al. Role of mprF1 and mprF2 in the pathogenicity of Enterococcus faecalis. PLoS One. 2012;7(6):e38458. pmid:22723861
- 16. Zhao C, Hartke A, La Sorda M, Posteraro B, Laplace J-M, Auffray Y, et al. Role of methionine sulfoxide reductases A and B of Enterococcus faecalis in oxidative stress and virulence. Infect Immun. 2010;78(9):3889–97. pmid:20566694
- 17. La Carbona S, Sauvageot N, Giard J-C, Benachour A, Posteraro B, Auffray Y, et al. Comparative study of the physiological roles of three peroxidases (NADH peroxidase, Alkyl hydroperoxide reductase and Thiol peroxidase) in oxidative stress response, survival inside macrophages and virulence of Enterococcus faecalis. Mol Microbiol. 2007;66(5):1148–63. pmid:17971082
- 18. Fan T-J, Goeser L, Naziripour A, Redinbo MR, Hansen JJ. Enterococcus faecalis Gluconate Phosphotransferase System Accelerates Experimental Colitis and Bacterial Killing by Macrophages. Infect Immun. 2019;87(7):e00080-19. pmid:31036600
- 19. Peng Z, Ehrmann MA, Waldhuber A, Niemeyer C, Miethke T, Frick J-S, et al. Phosphotransferase systems in Enterococcus faecalis OG1RF enhance anti-stress capacity in vitro and in vivo. Res Microbiol. 2017;168(6):558–66.
- 20. Wei L, Xia F, Wang J, Ran S, Liang Y, Zhou W, et al. Carbohydrate Metabolism Affects Macrophage-Mediated Killing of Enterococcus faecalis. mSystems. 2021;6(5):e0043421. pmid:34491082
- 21. Verneuil N, Sanguinetti M, Le Breton Y, Posteraro B, Fadda G, Auffray Y, et al. Effects of the Enterococcus faecalis hypR gene encoding a new transcriptional regulator on oxidative stress response and intracellular survival within macrophages. Infect Immun. 2004;72(8):4424–31. pmid:15271899
- 22. Coburn PS, Baghdayan AS, Dolan GT, Shankar N. An AraC-type transcriptional regulator encoded on the Enterococcus faecalis pathogenicity island contributes to pathogenesis and intracellular macrophage survival. Infect Immun. 2008;76(12):5668–76. pmid:18824537
- 23. Michaux C, Martini C, Hanin A, Auffray Y, Hartke A, Giard J-C. SlyA regulator is involved in bile salts stress response of Enterococcus faecalis. FEMS Microbiol Lett. 2011;324(2):142–6. pmid:22092815
- 24. Lebreton F, Riboulet-Bisson E, Serror P, Sanguinetti M, Posteraro B, Torelli R, et al. ace, Which encodes an adhesin in Enterococcus faecalis, is regulated by Ers and is involved in virulence. Infect Immun. 2009;77(7):2832–9. pmid:19433548
- 25. da Silva RAG, Tien BYQ, Kao PHN, Antypas H, Celik C, Tan AZC, et al. Enterococcus faecalis-derived lactic acid suppresses macrophage activation to facilitate persistent and polymicrobial wound infections. Cell Host Microbe. 2026;34(2):245-262.e8. pmid:41605216
- 26. Alhajjar N, Chatterjee A, Spencer BL, Burcham LR, Willett JLE, Dunny GM, et al. Genome-Wide Mutagenesis Identifies Factors Involved in Enterococcus faecalis Vaginal Adherence and Persistence. Infect Immun. 2020;88(10):e00270-20. pmid:32778611
- 27. Korea CG, Balsamo G, Pezzicoli A, Merakou C, Tavarini S, Bagnoli F, et al. Staphylococcal Esx proteins modulate apoptosis and release of intracellular Staphylococcus aureus during infection in epithelial cells. Infect Immun. 2014;82(10):4144–53. pmid:25047846
- 28. LaRock DL, Chaudhary A, Miller SI. Salmonellae interactions with host processes. Nat Rev Microbiol. 2015;13(4):191–205. pmid:25749450
- 29. Resko ZJ, Suhi RF, Thota AV, Kroken AR. Evidence for intracellular Pseudomonas aeruginosa. J Bacteriol. 2024;206(5):e0010924. pmid:38597609
- 30. Shin S, Roy CR. Host cell processes that influence the intracellular survival of Legionella pneumophila. Cell Microbiol. 2008;10(6):1209–20. pmid:18363881
- 31. Muller C, Sanguinetti M, Riboulet E, Hébert L, Posteraro B, Fadda G, et al. Characterization of two signal transduction systems involved in intracellular macrophage survival and environmental stress response in Enterococcus faecalis. J Mol Microbiol Biotechnol. 2008;14(1–3):59–66. pmid:17957111
- 32. Zlitni S, Bowden S, Sberro H, Torres MDT, Vaughan JM, Pinto AFM. Dual quorum-sensing control of purine biosynthesis drives pathogenic fitness of Enterococcus faecalis. bioRxiv. 2024;2024.08.13.607696.
- 33. Qin X, Singh KV, Weinstock GM, Murray BE. Characterization of fsr, a regulator controlling expression of gelatinase and serine protease in Enterococcus faecalis OG1RF. J Bacteriol. 2001;183(11):3372–82. pmid:11344145
- 34. Del Papa MF, Perego M. Enterococcus faecalis virulence regulator FsrA binding to target promoters. J Bacteriol. 2011;193(7):1527–32. pmid:21257771
- 35. Qin X, Singh KV, Weinstock GM, Murray BE. Effects of Enterococcus faecalis fsr genes on production of gelatinase and a serine protease and virulence. Infect Immun. 2000;68(5):2579–86. pmid:10768947
- 36. Sifri CD, Mylonakis E, Singh KV, Qin X, Garsin DA, Murray BE, et al. Virulence effect of Enterococcus faecalis protease genes and the quorum-sensing locus fsr in Caenorhabditis elegans and mice. Infect Immun. 2002;70(10):5647–50. pmid:12228293
- 37. Molina JJ, Kohler KN, Gager C, Andersen MJ, Wongso E, Lucas ER, et al. Fibrinolytic-deficiencies predispose hosts to septicemia from a catheter-associated UTI. Nat Commun. 2024;15(1):2704. pmid:38538626
- 38. Teixeira N, Varahan S, Gorman MJ, Palmer KL, Zaidman-Remy A, Yokohata R, et al. Drosophila host model reveals new Enterococcus faecalis quorum-sensing associated virulence factors. PLoS One. 2013;8(5):e64740. pmid:23734216
- 39. Kristich CJ, Nguyen VT, Le T, Barnes AMT, Grindle S, Dunny GM. Development and use of an efficient system for random mariner transposon mutagenesis to identify novel genetic determinants of biofilm formation in the core Enterococcus faecalis genome. Appl Environ Microbiol. 2008;74(11):3377–86. pmid:18408066
- 40. Pinkston KL, Gao P, Diaz-Garcia D, Sillanpää J, Nallapareddy SR, Murray BE, et al. The Fsr quorum-sensing system of Enterococcus faecalis modulates surface display of the collagen-binding MSCRAMM Ace through regulation of gelE. J Bacteriol. 2011;193(17):4317–25. pmid:21705589
- 41. Stinemetz EK, Gao P, Pinkston KL, Montealegre MC, Murray BE, Harvey BR. Processing of the major autolysin of E. faecalis, AtlA, by the zinc-metalloprotease, GelE, impacts AtlA septal localization and cell separation. PLoS One. 2017;12(10):e0186706. pmid:29049345
- 42. Brown AO, Graham CE, Cruz MR, Singh KV, Murray BE, Lorenz MC, et al. Antifungal Activity of the Enterococcus faecalis Peptide EntV Requires Protease Cleavage and Disulfide Bond Formation. mBio. 2019;10(4):e01334-19. pmid:31266876
- 43. Del Papa MF, Hancock LE, Thomas VC, Perego M. Full activation of Enterococcus faecalis gelatinase by a C-terminal proteolytic cleavage. J Bacteriol. 2007;189(24):8835–43. pmid:17921295
- 44. Coque TM, Patterson JE, Steckelberg JM, Murray BE. Incidence of hemolysin, gelatinase, and aggregation substance among enterococci isolated from patients with endocarditis and other infections and from feces of hospitalized and community-based persons. J Infect Dis. 1995;171(5):1223–9. pmid:7751697
- 45. Roberts JC, Singh KV, Okhuysen PC, Murray BE. Molecular epidemiology of the fsr locus and of gelatinase production among different subsets of Enterococcus faecalis isolates. J Clin Microbiol. 2004;42(5):2317–20. pmid:15131223
- 46. Vergis EN, Shankar N, Chow JW, Hayden MK, Snydman DR, Zervos MJ, et al. Association between the presence of enterococcal virulence factors gelatinase, hemolysin, and enterococcal surface protein and mortality among patients with bacteremia due to Enterococcus faecalis. Clin Infect Dis. 2002;35(5):570–5. pmid:12173131
- 47. Strzelecki J, Hryniewicz W, Sadowy E. Gelatinase-associated phenotypes and genotypes among clinical isolates of Enterococcus faecalis in Poland. Pol J Microbiol. 2011;60(4):287–92. pmid:22390062
- 48. Chong KKL, Tay WH, Janela B, Yong AMH, Liew TH, Madden L, et al. Enterococcus faecalis Modulates Immune Activation and Slows Healing During Wound Infection. J Infect Dis. 2017;216(12):1644–54. pmid:29045678
- 49. Ch’ng J-H, Muthu M, Chong KKL, Wong JJ, Tan CAZ, Koh ZJS, et al. Heme cross-feeding can augment Staphylococcus aureus and Enterococcus faecalis dual species biofilms. ISME J. 2022;16(8):2015–26. pmid:35589966
- 50. Nakayama J, Kariyama R, Kumon H. Description of a 23.9-kilobase chromosomal deletion containing a region encoding fsr genes which mainly determines the gelatinase-negative phenotype of clinical isolates of Enterococcus faecalis in urine. Appl Environ Microbiol. 2002;68(6):3152–5. pmid:12039782
- 51. Galloway-Peña JR, Bourgogne A, Qin X, Murray BE. Diversity of the fsr-gelE region of the Enterococcus faecalis genome but conservation in strains with partial deletions of the fsr operon. Appl Environ Microbiol. 2011;77(2):442–51. pmid:21097591
- 52. Jacob AE, Hobbs SJ. Conjugal transfer of plasmid-borne multiple antibiotic resistance in Streptococcus faecalis var. zymogenes. J Bacteriol. 1974;117(2):360–72. pmid:4204433
- 53. Helaine S, Thompson JA, Watson KG, Liu M, Boyle C, Holden DW. Dynamics of intracellular bacterial replication at the single cell level. Proc Natl Acad Sci U S A. 2010;107(8):3746–51. pmid:20133586
- 54. Saliba A-E, Li L, Westermann AJ, Appenzeller S, Stapels DAC, Schulte LN, et al. Single-cell RNA-seq ties macrophage polarization to growth rate of intracellular Salmonella. Nat Microbiol. 2016;2:16206. pmid:27841856
- 55. Rubinstein E, Keynan Y. Vancomycin Revisited – 60 Years Later. Front Public Health. 2014;2.
- 56. O’Neill ALM, Thurston TLM, Holden DW. Cytosolic replication of group A streptococcus in human macrophages. mBio. 2016;7(2):10.1128/mbio.00020-16.
- 57. Meunier E, Broz P. Quantification of cytosolic vs. vacuolar Salmonella in primary macrophages by differential permeabilization. JoVE. 2015(101):e52960.
- 58. Malik-Kale P, Winfree S, Steele-Mortimer O. The bimodal lifestyle of intracellular Salmonella in epithelial cells: replication in the cytosol obscures defects in vacuolar replication. PLoS One. 2012;7(6):e38732. pmid:22719929
- 59. Huitema L, Phillips T, Alexeev V, Tomic-Canic M, Pastar I, Igoucheva O. Intracellular escape strategies of Staphylococcus aureus in persistent cutaneous infections. Exp Dermatol. 2021;30(10):1428–39. pmid:33179358
- 60. Pont S, Nilly F, Berry L, Bonhoure A, Alford MA, Louis M, et al. Intracellular Pseudomonas aeruginosa persist and evade antibiotic treatment in a wound infection model. PLoS Pathog. 2025;21(2):e1012922. pmid:39946497
- 61. Surewaard BGJ, Deniset JF, Zemp FJ, Amrein M, Otto M, Conly J, et al. Identification and treatment of the Staphylococcus aureus reservoir in vivo. J Exp Med. 2016;213(7):1141–51. pmid:27325887
- 62. Clement S, Vaudaux P, Francois P, Schrenzel J, Huggler E, Kampf S, et al. Evidence of an intracellular reservoir in the nasal mucosa of patients with recurrent Staphylococcus aureus rhinosinusitis. J Infect Dis. 2005;192(6):1023–8. pmid:16107955
- 63. Malet K, Faure E, Adam D, Donner J, Liu L, Pilon S-J, et al. Intracellular Pseudomonas aeruginosa within the Airway Epithelium of Cystic Fibrosis Lung Tissues. Am J Respir Crit Care Med. 2024;209(12):1453–62. pmid:38324627
- 64. Ridder MJ, McReynolds AKG, Dai H, Pritchard MT, Markiewicz MA, Bose JL. Kinetic Characterization of the Immune Response to Methicillin-Resistant Staphylococcus aureus Subcutaneous Skin Infection. Infect Immun. 2022;90(7):e0006522. pmid:35647662
- 65. Antypas H, Schmidtchen V, Staiger WI, Yanhong LI, Tan RJW, Ng KKF, et al. Loss of Fsr quorum sensing promotes biofilm formation and worsens outcomes in enterococcal infective endocarditis. Nat Commun. 2026;17(1):1668. pmid:41535299
- 66. Snavely EA, Kokes M, Dunn JD, Saka HA, Nguyen BD, Bastidas RJ, et al. Reassessing the role of the secreted protease CPAF in Chlamydia trachomatis infection through genetic approaches. Pathog Dis. 2014;71(3):336–51. pmid:24838663
- 67. Chen W, Su X, Pan Y, Zhou H, Gao Y, Wang X, et al. Chlamydial protease-like activity factor targets SLC7A11 for degradation to induce ferroptosis and facilitate progeny releases. PLoS Pathog. 2025;21(4):e1013060. pmid:40198689
- 68. Huynh MH, Roiko MS, Gomes AO, Schinke EN, Schultz AJ, Agrawal S. Toxoplasma gondii Toxolysin 4 Contributes to Efficient Parasite Egress from Host Cells. mSphere. 2021;6(3):10.1128/msphere.00444-21.
- 69. Ferreira ER, Bonfim-Melo A, Burleigh BA, Costales JA, Tyler KM, Mortara RA. Parasite-Mediated Remodeling of the Host Microfilament Cytoskeleton Enables Rapid Egress of Trypanosoma cruzi following Membrane Rupture. mBio. 2021;12(3):e0098821. pmid:34154418
- 70. Thomas JA, Tan MSY, Bisson C, Borg A, Umrekar TR, Hackett F, et al. A protease cascade regulates release of the human malaria parasite Plasmodium falciparum from host red blood cells. Nat Microbiol. 2018;3(4):447–55. pmid:29459732
- 71. LaRock DL, Johnson AF, Wilde S, Sands JS, Monteiro MP, LaRock CN. Group A Streptococcus induces GSDMA-dependent pyroptosis in keratinocytes. Nature. 2022;605(7910):527–31. pmid:35545676
- 72. Deng W, Bai Y, Deng F, Pan Y, Mei S, Zheng Z, et al. Streptococcal pyrogenic exotoxin B cleaves GSDMA and triggers pyroptosis. Nature. 2022;602(7897):496–502. pmid:35110732
- 73. Stelzner K, Boyny A, Hertlein T, Sroka A, Moldovan A, Paprotka K, et al. Intracellular Staphylococcus aureus employs the cysteine protease staphopain A to induce host cell death in epithelial cells. PLoS Pathog. 2021;17(9):e1009874. pmid:34473800
- 74. Fowler VG Jr, Sakoulas G, McIntyre LM, Meka VG, Arbeit RD, Cabell CH, et al. Persistent bacteremia due to methicillin-resistant Staphylococcus aureus infection is associated with agr dysfunction and low-level in vitro resistance to thrombin-induced platelet microbicidal protein. J Infect Dis. 2004;190(6):1140–9. pmid:15319865
- 75. Schweizer ML, Furuno JP, Sakoulas G, Johnson JK, Harris AD, Shardell MD, et al. Increased mortality with accessory gene regulator (agr) dysfunction in Staphylococcus aureus among bacteremic patients. Antimicrob Agents Chemother. 2011;55(3):1082–7. pmid:21173172
- 76. Park S-Y, Chong YP, Park HJ, Park K-H, Moon SM, Jeong J-Y, et al. agr Dysfunction and persistent methicillin-resistant Staphylococcus aureus bacteremia in patients with removed eradicable foci. Infection. 2013;41(1):111–9. pmid:23065454
- 77. Paulander W, Nissen Varming A, Bæk KT, Haaber J, Frees D, Ingmer H. Antibiotic-mediated selection of quorum-sensing-negative Staphylococcus aureus. mBio. 2013;3(6):e00459-12. pmid:23143800
- 78. Duan X, Boo ZZ, Chua SL, Chong KHC, Long Z, Yang R, et al. A Bacterial Quorum Sensing Regulated Protease Inhibits Host Immune Responses by Cleaving Death Domains of Innate Immune Adaptors. Adv Sci (Weinh). 2023;10(34):e2304891. pmid:37870218
- 79. Uzureau S, Lemaire J, Delaive E, Dieu M, Gaigneaux A, Raes M, et al. Global analysis of quorum sensing targets in the intracellular pathogen Brucella melitensis 16 M. J Proteome Res. 2010;9(6):3200–17.
- 80. Dunny GM, Brown BL, Clewell DB. Induced cell aggregation and mating in Streptococcus faecalis: evidence for a bacterial sex pheromone. Proc Natl Acad Sci U S A. 1978;75(7):3479–83. pmid:98769
- 81. Nielsen HV, Guiton PS, Kline KA, Port GC, Pinkner JS, Neiers F, et al. The metal ion-dependent adhesion site motif of the Enterococcus faecalis EbpA pilin mediates pilus function in catheter-associated urinary tract infection. mBio. 2012;3(4):e00177-12. pmid:22829678
- 82. Hallinen KM, Guardiola-Flores KA, Wood KB. Fluorescent reporter plasmids for single-cell and bulk-level composition assays in E. faecalis. PLoS One. 2020;15(5):e0232539. pmid:32369497
- 83. Debroy S, van der Hoeven R, Singh KV, Gao P, Harvey BR, Murray BE, et al. Development of a genomic site for gene integration and expression in Enterococcus faecalis. J Microbiol Methods. 2012;90(1):1–8. pmid:22542850
- 84. Kristich CJ, Chandler JR, Dunny GM. Development of a host-genotype-independent counterselectable marker and a high-frequency conjugative delivery system and their use in genetic analysis of Enterococcus faecalis. Plasmid. 2007;57(2):131–44. pmid:16996131
- 85. Nielsen HV, Flores-Mireles AL, Kau AL, Kline KA, Pinkner JS, Neiers F, et al. Pilin and sortase residues critical for endocarditis- and biofilm-associated pilus biogenesis in Enterococcus faecalis. J Bacteriol. 2013;195(19):4484–95.
- 86. Bushnell B, Rood J, Singer E. BBMerge - Accurate paired shotgun read merging via overlap. PLoS One. 2017;12(10):e0185056. pmid:29073143
- 87. Prjibelski A, Antipov D, Meleshko D, Lapidus A, Korobeynikov A. Using SPAdes de novo assembler. Curr Protoc Bioinformatics. 2020;70(1):e102.
- 88. Inouye M, Dashnow H, Raven L-A, Schultz MB, Pope BJ, Tomita T, et al. SRST2: Rapid genomic surveillance for public health and hospital microbiology labs. Genome Med. 2014;6(11):90. pmid:25422674
- 89. Ruiz-Garbajosa P, Bonten MJM, Robinson DA, Top J, Nallapareddy SR, Torres C, et al. Multilocus sequence typing scheme for Enterococcus faecalis reveals hospital-adapted genetic complexes in a background of high rates of recombination. J Clin Microbiol. 2006;44(6):2220–8. pmid:16757624
- 90. Alonge M, Lebeigle L, Kirsche M, Jenike K, Ou S, Aganezov S, et al. Automated assembly scaffolding using RagTag elevates a new tomato system for high-throughput genome editing. Genome Biol. 2022;23(1):258. pmid:36522651
- 91. Li H, Handsaker B, Wysoker A, Fennell T, Ruan J, Homer N, et al. The Sequence Alignment/Map format and SAMtools. Bioinformatics. 2009;25(16):2078–9. pmid:19505943
- 92. Seemann T. Prokka: rapid prokaryotic genome annotation. Bioinformatics. 2014;30(14):2068–9. pmid:24642063
- 93. Gilchrist CLM, Chooi Y-H. clinker & clustermap.js: automatic generation of gene cluster comparison figures. Bioinformatics. 2021;37(16):2473–5. pmid:33459763
- 94. Flannagan RS, Heinrichs DE. A Fluorescence Based-Proliferation Assay for the Identification of Replicating Bacteria Within Host Cells. Front Microbiol. 2018;9:3084. pmid:30619165
- 95. Ben Chaabene R, Martinez M, Bonavoglia A, Maco B, Chang Y-W, Lentini G, et al. Toxoplasma gondii rhoptry discharge factor 3 is essential for invasion and microtubule-associated vesicle biogenesis. PLoS Biol. 2024;22(8):e3002745. pmid:39137211
- 96. Tan CAZ, Chong KKL, Yeong DYX, Ng CHM, Ismail MH, Yap ZH, et al. Purine and carbohydrate availability drive Enterococcus faecalis fitness during wound and urinary tract infections. mBio. 2024;15(1):e02384-23. pmid:38078746