Figures
Abstract
DNA methylation is a widespread phenomenon in bacteria that can regulate gene expression, although the mechanisms underlying this epigenetic regulation are often poorly understood. In Clostridioides difficile, the orphan DNA methyltransferase CamA promotes sporulation, a process critical for the persistence and transmission of this nosocomial pathogen. However, the specific CamA target genes that drive this increased sporulation phenotype were unknown. Here, we show that methylation of a single CamA motif in the promoter region of spoIIE, which encodes a factor critical for activating the early-acting sporulation sigma factor, σF, is sufficient to promote spoIIE transcription, σF activation, and spore formation. Surprisingly, the CamA-dependent increase in spoIIE expression also increases the frequency with which cells prematurely activate σF prior to asymmetric division, resulting in miscompartmentalized σF activity. While this premature activation event triggers cell lysis in the well-studied spore-former Bacillus subtilis, we show that C. difficile cells retain developmental plasticity: predivisional cells that have prematurely activated σF can abort sporulation and resume vegetative growth, whereas cells that activate σF in the forespore after asymmetric division remain committed to sporulation. Thus, DNA methylation controls a critical cell fate decision in C. difficile without compromising its capacity to adapt to fluctuating environmental conditions. Finally, we show that CamA confers a significant fitness advantage during murine infection through mechanisms largely independent of its ability to promote sporulation. Since CamA is specific to C. difficile and epigenetically regulates multiple pathways critical for pathogen persistence, these analyses imply that CamA could be a promising antimicrobial target.
Author summary
Most bacteria use orphan DNA methyltransferases to modify their genomes and alter their gene expression. While these modifications lead to changes in a bacterium’s phenotype, the specific methylation sites that regulate these phenotypic changes are poorly understood, partly because orphan DNA methyltransferases often modify thousands of sites in a genome. Clostridioides difficile, an anaerobic gut pathogen that is a leading cause of hospital-acquired infection, encodes an orphan DNA methyltransferase, CamA, that promotes the formation of oxygen-tolerant endospores, which are critical for this anaerobic pathogen to transmit disease. Here, we show that a single CamA methylation site, of the nearly 8000 CamA methylation sites in the C. difficile genome, promotes the expression of gene encoding a key sporulation regulator. Our analyses reveal an unexpected developmental flexibility to C. difficile’s sporulation program, which likely allows it to remain adaptable to changing environments. We further demonstrate that CamA influences processes beyond sporulation that help C. difficile persist within the host. Together, these analyses advance our understanding of how DNA methylation can affect a bacterium’s phenotype and add to the growing list of DNA methyltransferases critical for bacterial fitness within the host.
Citation: Kuhn P, Ribis JW, Ni M, Fang G, Shen A (2026) A single DNA methylation site regulates cell fate during Clostridioides difficile sporulation. PLoS Pathog 22(7): e1013845. https://doi.org/10.1371/journal.ppat.1013845
Editor: Yu-Feng Yao, Shanghai Jiao Tong University Affiliated Chest Hospital, CHINA
Received: December 22, 2025; Accepted: June 2, 2026; Published: July 23, 2026
Copyright: © 2026 Kuhn 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: Data are available through Figshare. https://doi.org/10.6084/m9.figshare.30702959.
Funding: PK: National Institute of Allergy and Infectious Disease R21 AI188339 JWR: National Institute of General Medical Sciences T32GM007310 MN: National Institute of Allergy and Infectious Disease R21 AI188339 GF: National Institute of Allergy and Infectious Disease R21 AI188339 AS:National Institute of Allergy and Infectious Disease R21 AI188339, Burroughs Wellcome Fund Investigators in Pathogenesis https://www.bwfund.org/ https://www.niaid.nih.gov/ https://www.nigms.nih.gov/ The funders did not play any role in the 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
While DNA methylation has historically been associated with restriction-modification systems that allow bacteria to defend against foreign DNA, the advent of methylome sequencing technologies has revealed that epigenetic gene regulation is widespread across the bacterial domain [1]. Indeed, over 93% of prokaryotic species encode at least one orphan DNA methyltransferase; these methyltransferases lack cognate restriction enzymes and can modulate diverse cellular processes [1–3]. Recent studies have implicated these enzymes in epigenetically regulating phenotypic heterogeneity, including the production of surface structures like LPS [4], fimbriae [5], and pili [6]. Although DNA orphan methyltransferases modulate diverse phenotypes, pinpointing the specific methylation sites that drive these phenotypic changes remains challenging [7]. Given that DNA methylation can alter the 3D structure and function of the genome [8,9], it is critical to distinguish between global, pleiotropic effects and local, regulatory mechanisms by identifying the specific sites whose methylation promotes a given phenotype.
We previously showed that the major nosocomial pathogen Clostridioides difficile encodes an orphan DNA methyltransferase, CamA, that is strictly conserved across this genetically diverse species [10]. Since C. difficile’s core genome comprises less than 20% of its pan-genome, the conservation of camA implies that CamA-mediated DNA methylation plays an important role in regulating this organism’s physiology. Consistent with this hypothesis, we previously showed that CamA is a non-essential factor that promotes sporulation in C. difficile [10], which is critical for the transmission of this obligate anaerobe [11]. We further found that loss of CamA impairs the ability of C. difficile to persist in a mouse infection model [10]. Given that spores contribute to C. difficile’s ability to persist in a host [12], these two phenotypes may be interrelated. To gauge the extent to which the sporulation defect of a ∆camA mutant contributes to its persistence defect in the host, we sought to identify which of CamA’s nearly 8,000 recognition sites is responsible for promoting C. difficile sporulation.
Sporulation is a complex developmental program initiated in response to specific environmental cues, such as nutrient limitation [13]. The activation of the master transcriptional regulator Spo0A by these conditions leads to a transcriptional cascade that culminates in the formation of a metabolically dormant spore. Spo0A directly activates the expression of genes whose products mediate asymmetric division, the first morphological hallmark of sporulation [14,15]. The resulting mother and forespore cells have distinct fates due to the compartment-specific activation of four sporulation-specific sigma factors. The earliest acting sigma factor is σF, and its activity is confined to the forespore despite σF being made throughout the predivisional cell [16,17]. Studies in B. subtilis have shown that σF is held inactive in the predivisional cell by a regulatory module consisting of SpoIIAA, SpoIIAB, and SpoIIE, which prevents its premature activation until after asymmetric division is complete [18–21] (Fig 1A). This delay is critical for ensuring the compartment-specific activity of this sigma factor and the subsequent transcriptional cascade that allows the forespore to successfully differentiate into a mature spore. In B. subtilis, σF activation also commits a cell to sporulation [22] such that the sporulating cell will complete its differentiation process regardless of whether nutrient-rich conditions are restored.
(a) Schematic of σF activation in B. subtilis. Before asymmetric division, σF is bound to and kept inactive by SpoIIAB. After asymmetric division, SpoIIE is preferentially localized to the forespore side of the polar septum where it dephosphorylates SpoIIAA, allowing it to sequester SpoIIAB. This releases σF, enabling the transcription of the σF regulon in the forespore. (b) Volcano plot showing differentially expressed genes from RNA-seq analysis of WT and ∆camA C. difficile after 9 hours of growth on sporulation-inducing conditions (dataset was obtained from a previous study [10]). The horizontal line indicates a p-value cutoff of 0.05. Spo0A regulon genes are labeled in pink, and σF regulon genes are labeled in blue. (c) Relative transcript levels as determined by RT-qPCR at 9 hours after sporulation induction. The data shown represent the mean ± standard deviation of three biological replicates from samples that were independent of those used for the RNA-Seq analyses. Statistical significance was determined using unpaired t-tests. *, p < 0.033; **, p < 0.002. (d) Schematic showing organization of the spoIIE promoter region in C. difficile. CamA motifs (CAAAAA) and putative Spo0A recognition sites (Spo0A box) are shown. (e) Images of cells harboring a bicistronic spoIIE- RBS-mScarlet-I3 transcriptional reporter construct integrated into the native spoIIE locus, grown on sporulation-inducing medium for 9 hours. ∆spo0A was used as a negative control, since this strain cannot initiate sporulation [11]. Scale bar, 5 µm. (f) Percentage of spoIIE-ON cells, as determined from quantified images of the strains shown in panel e. Statistical significance was determined using a one-way ANOVA and Tukey’s multiple comparisons test. *, p < 0.033. (g) Histogram showing the frequency distribution of cells at different levels of mean fluorescence intensity for strains shown in panel e (a.u. is arbitrary units). Data represent 7,500 cells counted across three biological replicates. Cells were classified as spoIIE-OFF or spoIIE-ON based on the bimodal distribution of mean fluorescence intensity observed in violin plots. The cutoff was set at the valley between the peaks and validated against fluorescence levels of cells barely detectable in microscopy images.
While we previously showed that σF activation is the earliest sporulation event affected by the loss of CamA [10], it was unclear which aspect of the σF regulatory cascade is epigenetically regulated. Here, we identify a single methylation site in the promoter region of the critical sporulation gene spoIIE that promotes σF activation and increases C. difficile spore formation. Using single-cell analyses, we show that SpoIIE must accumulate to an optimal concentration to induce σF activation specifically in the forespore. We also unexpectedly reveal that CamA-induced overexpression of spoIIE leads to the premature activation of σF in the predivisional cell in over a third of the sporulating population. Whereas this premature activation event induces predivisional cells to lyse in B. subtilis [18,19,23], we show that prematurely activating σF in predivisional C. difficile cells does not cause lysis or constrain them to completing sporulation. Instead, C. difficile cells that activate σF in the forespore remain committed to completing their differentiation program even when favorable growth conditions return. Thus, our analyses reveal an unexpected flexibility in a critical developmental decision in C. difficile compared to B. subtilis. Finally, we show that the persistence defect of a ∆camA mutant is largely independent of its sporulation defect, indicating that CamA-mediated DNA methylation enhances the fitness of C. difficile by modulating processes beyond sporulation during infection.
Results
CamA promotes the expression of the early-acting and critical sporulation gene, spoIIE
Our previous RNA-Seq analyses indicated that the earliest sporulation stage altered in a ∆camA mutant relative to WT is the activation of σF because Spo0A regulon genes (like spo0A and the sigF-spoIIAB-spoIIAB operon) are similarly expressed in a ∆camA mutant relative to WT, whereas σF regulon genes (like gpr, spoIIQ, and spoIIP) are under-expressed [10] (Fig 1B). Thus, to identify sporulation genes epigenetically regulated by CamA, we focused on genes involved in regulating σF activity. σF activity is constrained to the forespore even though it is produced throughout the predivisional cell. In B. subtilis, the compartment-specific activation of σF is controlled by a signaling cascade consisting of the anti-sigma-factor SpoIIAB, an anti-anti-sigma factor SpoIIAA, and the multi-functional SpoIIE phosphatase [18–21] (Fig 1A). Since the genes encoding these regulatory factors are conserved in C. difficile [17], we compared their expression levels using RT-qPCR. While the sigF-spoIIAA-spoIIAB operon was similarly transcribed in WT and ∆camA, spoIIE was under-expressed ~2-fold in ∆camA relative to WT (Fig 1C), even though both the sigF operon and spoIIE gene are direct targets of Spo0A [13]. Intriguingly, the spoIIE promoter region is enriched in CamA recognition motifs (CAAAAA; the methylated base is bolded): the 160 bp region upstream of the spoIIE transcription start site (TSS) contains three methylation sites (Fig 1D). This represents a significant enrichment compared to equally sized regulatory regions (p < 10-5), and the presence of these sites is strictly conserved across 135 C. difficile genomes, despite the high degree of genetic variation between isolates (S1 Fig). Furthermore, the Me3 methylation site is directly adjacent to a predicted Spo0A binding site in the spoIIE promoter. While Spo0A binding sites have not been empirically identified in this region, they were inferred based on the consensus C. difficile Spo0A recognition motif [24], allowing up to two mismatches provided that at least two critical guanine/cytosine residues are retained; sites meeting these criteria are found in a similar position relative to the empirically identified Spo0A binding sites in the B. subtilis spoIIE promoter [25] (S2 Fig). Collectively, these analyses suggest an evolutionary pressure to maintain the CamA methylation sites in the spoIIE promoter region.
Although spoIIE expression was only reduced ~2-fold in the bulk RNA-Seq and RT-qPCR analyses (Fig 1B, 1C), these population-wide measurements can obscure underlying cell-to-cell variability in transcription levels. Since DNA methylation often influences the proportion of cells exhibiting a given transcriptional state [9], we hypothesized that CamA affects the frequency of spoIIE-expressing cells rather than the amplitude of gene expression. To test this, we generated a bicistronic spoIIE-RBS-mScarlet-I3 transcriptional reporter by integrating an mScarlet-I3 gene, carrying a spoIIE RBS, downstream of the spoIIE gene in its native locus. Analysis of spoIIE expression at the single-cell level after 9 hours of growth on sporulation-inducing medium revealed that ~2-fold fewer ∆camA cells activated the PspoIIE transcriptional reporter compared to WT (4.7 ± 3.9% versus 11.0 ± 3.1% of cells, respectively) (Fig 1E,1F). The ∆camA mutant also induced spoIIE at lower levels, with the median fluorescence intensity of spoIIE-positive ∆camA cells being 1262 ± 605 a.u. compared to 1356 ± 754 a.u. for WT (Fig 1G). Together, these results suggest that CamA increases the frequency of cells that induce spoIIE expression, as well as the magnitude of gene expression at the single-cell level.
To determine the functional consequence of altering spoIIE expression levels in C. difficile, we first constructed and characterized a ∆spoIIE mutant. Similar to observations in B. subtilis, a C. difficile∆spoIIE mutant failed to activate σF based on fluorescence microscopy analyses of a σF-activity reporter (S3A Fig), and they did not form heat-resistant spores (S3B Fig). In addition, ∆spoIIE cells failed to progress beyond asymmetric division and their polar septa were thicker relative to WT in transmission electron microscopy analyses (S3C, S3D Fig), consistent with prior work in B. subtilis [26,27]. This indicates that C. difficile SpoIIE is essential for proper asymmetric division and σF activation, and it shares conserved functions with previously studied spore formers [27–29]. Taken together, these data indicate that CamA-mediated DNA methylation increases the proportion of cells expressing a gene that encodes a critical early-acting factor in the transcriptional program controlling sporulation.
Methylation of a single site in the spoIIE promoter region enhances C. difficile sporulation levels
Since camA expression appears to be constitutive across growth conditions [10], we reasoned that changes to spoIIE transcription are due to local regulatory effects of methylation. We sought to test this hypothesis by mutating the CamA methylation sites in the spoIIE promoter region. To this end, we individually mutated the three methylation sites found upstream of the spoIIE TSS by first generating a deletion of this upstream region and then restoring the deleted region with the wild-type sequence (WT*) or sequences carrying mutations in the individual CamA recognition sites (CAAAAA → CAAATA, Me1*, Me2*, and Me3*) (Fig 2A). Importantly, the mutations alter the CamA recognition sequence without altering the fifth adenine methylated by CamA [10], and the Me3* mutation does not affect the predicted Spo0A recognition motif close to the -35 site [28]. We then measured the sporulation efficiency of the resulting mutants using a heat resistance assay. While preventing the methylation of the Me1 or Me2 sites did not affect sporulation levels, preventing the methylation of the promoter-proximal CamA site (Me3*), which is adjacent to a predicted Spo0A binding site (Fig 1D), phenocopied the sporulation defect observed in the ∆camA mutant (Fig 2B).
(a) Schematic of the individual methylation site mutations made in the spoIIE promoter region of C. difficile 630∆erm. The region upstream of spoIIE was deleted, and DNA fragments containing the WT sequence with a watermark (WT*) or individual methylation site mutations (Me1*, Me2*, Me3*) were reintroduced by allelic exchange. (b) Heat resistance assay comparing the sporulation efficiencies of the methylation site mutants. Approximately 22 hours after sporulation was initiated, cells were heat-treated and then plated to enumerate the viable spore count relative to the untreated sample. ∆spo0A and ∆spoIIE were used as negative controls, since these strains cannot complete sporulation [30]. Results were analyzed using one-way ANOVA and Tukey’s multiple-comparisons test. *, p < 0.033. **, p < 0.002. Data represent a minimum of nine biological replicates. (c) Percentage of spoIIE-ON cells. Cells were classified as spoIIE-OFF or spoIIE-ON based on the bimodal distribution of mean fluorescence intensity observed in violin plots. The cutoff was set at the valley between the peaks and validated against fluorescence levels of cells barely detectable in microscopy images. Statistical significance was determined using a one-way ANOVA and Tukey’s multiple comparisons test. *, p < 0.033. (d) Histogram showing the frequency distribution of cells at different levels of mean fluorescence intensity for images of strains shown in S4 Fig. The data represent 7,500 cells counted across three biological replicates. Data for WT, ∆spo0A and ∆camA shown in Fig 1G are included here to allow for direct comparison with WT* and Me3*.
To determine the effect of the Me3* methylation site mutation on spoIIE transcription, we introduced the bicistronic spoIIE-RBS-mScarlet-I3 transcriptional reporter construct into the WT* and Me3* strains and analyzed spoIIE transcription using fluorescence microscopy. These analyses revealed that mutation of the single Me3 site was sufficient to phenocopy the decrease in spoIIE expression observed in ∆camA cells: fewer Me3* cells expressed spoIIE at detectable levels and the magnitude of their expression was reduced compared to WT* (Figs 2C, 2D, S4).
Since the Me3 motif partially overlaps with a putative Spo0A recognition motif (Fig 1D), we considered the possibility that mutation of the Me3 site affects the innate binding affinity of Spo0A for the PspoIIE promoter, even though the mutation is not predicted to alter the Spo0A recognition sequence [24,31]. Thus, we compared Spo0A binding to the Me3* and WT promoter regions using electromobility shift and fluorescence polarization assays. These assays both revealed that the DNA-binding domain of Spo0A binds to WT and Me3* PspoIIE DNA probes with similar affinity (S5 Fig). Thus, the reduced spoIIE expression and sporulation levels observed in ∆camA and Me3* mutants can be attributed to the loss of methylation, rather than a decrease in the intrinsic affinity of Spo0A for its binding sites. Together, these findings reveal that, of the nearly 8,000 CamA recognition motifs in C. difficile’s genome, methylation of the single Me3 site in spoIIE’s promoter region is sufficient to enhance C. difficile sporulation.
Methylation of PspoIIE increases the frequency of σF activation in the forespore, as well as the predivisional cell
Since SpoIIE is predicted to be a positive regulator of σF activation (Fig 1A), we next asked whether the reduced spoIIE expression in the ∆camA and Me3* mutants is sufficient to reduce σF activation at the single-cell level. Analyses of σF activation using the σF-dependent Pgpr::SNAP transcriptional reporter (Fig 3A) after 15 hours of growth on sporulation-inducing medium revealed that 34% of WT cells activate σF in the forespore, while 17% of ∆camA and Me3* cells activate this sigma factor in this compartment (Fig 3B). These results are consistent with the ~ 2-fold decrease in sporulation measured for cells that cannot methylate the Me3 site (∆camA and Me3*, Fig 2B).
(a) Images of cells harboring a σF activity reporter construct (Pgpr::SNAP) grown on sporulation-inducing medium for 15 hours. gpr is a member of the σF regulon, so its transcription serves as a reporter for σF activation. Cell membrane staining (FM 4-64) indicates that cells that have activated σF throughout the entire cell (labeled “whole cell”) have not completed asymmetric division. ∆spo0A was used as a negative control, since this strain cannot initiate sporulation [30]. Scale bar, 5 µm. (b) Percent of cells activating σF exclusively in the forespore or throughout the whole cell for images shown in panel a. Data represent the mean ± standard deviation of at least 1,500 cells counted across three biological replicates. Statistical significance was determined using a one-way ANOVA and Tukey’s multiple-comparisons test. *, p < 0.033; **, p < 0.002.
Unexpectedly, the σF activity reporter revealed that a sizable proportion of visibly sporulating WT C. difficile cells activate σF throughout the entire cell, rather than exclusively in the forespore compartment. Specifically, 17% of WT cells activated σF in the entire cell compared to 3% and 7% of ∆camA and Me3* mutant cells, respectively (Fig 3C). Membrane staining revealed that cells with mislocalized σF activity throughout the cell have not yet completed asymmetric division, indicating that σF is being prematurely activated in predivisional cells (Fig 3A). In contrast, in B. subtilis, only 0.5-2% of sporulating cells activate σF in the predivisional cell [18, 32–34]. Notably, in B. subtilis, the compartment-specific activation of σF in the forespore following asymmetric division is critical for the genetically identical mother and forespore cells to establish the disparate transcriptional programs that allow for proper spore formation. Moreover, B. subtilis mutant cells that prematurely activate σF in the predivisional cell undergo lysis [19,23], so the high proportion of σF activation in predivisional C. difficile cells was surprising.
Given the critical importance of properly compartmentalizing σF activity during B. subtilis sporulation, we sought to understand the basis and consequence of prematurely activating σF in predivisional C. difficile cells. We first considered whether the high frequency of premature σF activation was an artifact of the SNAP-tag labeling system. To test this, we visualized σF activation using a PspoIIQ::mScarlet transcriptional reporter, which is driven by a different σF-dependent promoter and uses mScarlet as the visualizable reporter. With this system, we again found that 21% of WT cells activate σF in the predivisional cell (S6 Fig). Next, we wondered whether σF activation in the predivisional cells might be due to leakage of the reporter protein into the cytoplasm in cells that have retracted their polar septum, which can occur when the peptidoglycan synthesis or hydrolysis machinery is dysregulated during sporulation [35–37]. To assess this, we examined σF activation in ∆spoIIP∆spoIID cells, which lack the septal hydrolysis machinery that mediates forespore cytoplasmic leakage in B. subtilis [35–37]. Whole cell σF activation was still observed in ∆spoIIP-∆spoIID cells (S7 Fig), indicating that the σF activity is indeed observed in predivisional cells rather than in cells that have retracted their septum. Taken together, these data indicate that σF activity is less tightly compartmentalized in C. difficile than in B. subtilis and that DNA methylation at the Me3 site of PspoIIE increases the frequency of premature σF activation in predivisional cells.
Elevated spoIIE expression correlates with the loss of σF compartmentalization
Since sporulating WT cells express spoIIE at higher levels and activate σF prematurely in predivisional cells more frequently compared to the ∆camA and Me3* mutants (Fig 3), we hypothesized that elevated SpoIIE levels lead to the ectopic activation of σF prior to division. This hypothesis is based on observations in B. subtilis, where cells engineered to overexpress the spoIIE gene [18] or accumulate the SpoIIE protein [28,38] exhibit premature activation of this sigma factor. To test this possibility, we constructed a dual reporter system where (i) PspoIIE expression was detected using our bicistronic spoIIE-RBS-mScarlet transcriptional reporter integrated into the native locus and (ii) σF was monitored using a Pgpr::SNAP transcriptional reporter construct integrated into the ectopic pyrE locus (Fig 4A). The induction of these reporters was analyzed after 12 hours of growth on sporulation-inducing medium, when both the spoIIE and σF activation reporters were visible. Indeed, these analyses revealed that, across all strains, mean spoIIE transcription is lower in cells with forespore compartmentalized σF activation (860–4680 a.u., median = 1946 a.u.), whereas uncompartmentalized σF activation in predivisional cells occurs at a higher range of spoIIE expression (1600–5447 a.u., median = 2971 a.u.) (Figs 4B, S8). These data strongly suggest that σF activation is sensitive to SpoIIE levels and that elevated levels of spoIIE transcription induces the premature activation of σF prior to the completion of asymmetric division in C. difficile, similar to B. subtilis cells artificially engineered to overexpress spoIIE [18]. We next attempted to directly correlate SpoIIE levels and localization to the polar septum with σF activation, by generating strains encoding SpoIIE-mScarlet-I3 protein fusions with different linkers. Unfortunately, the mScarlet-I3 variant was cleaved off all the fusions tested, so we were unable to assess the relationship between SpoIIE localization and σF activation.
(a) Images of cells harboring a σF activity reporter (Pgpr::SNAP) in the ectopic pyrE locus and a bicistronic spoIIE-RBS-mScarlet-I3 transcriptional reporter integrated into the native spoIIE locus. Cells were grown on sporulation-inducing medium for 12 hours before labeling and fixation. ∆spo0A was used as a negative control, since this strain cannot initiate sporulation [11]. Green arrows indicate cells that have activated σF in the forespore; yellow arrows indicate cells that have activated σF across the whole cell. Scale bar, 5 µm. (b) Mean fluorescence intensities of cells grouped by their σF activation pattern (i.e., Pgpr::SNAP expression): no σF activity, σF activity localized to the forespore, or σF activity observed across the whole cell. Due to day-to-day variability in the fluorescent signal from the mScarlet-I3 reporter, the data shown are derived from a single biological replicate (1000 cells analyzed) that is representative of the trends observed for three independent replicates. The additional replicates and the resulting statistical analyses are shown in S8 Fig.
In B. subtilis, the coordinated regulation of SpoIIE’s localization, stability, and phosphatase activity tightly restricts σF activation to the forespore, even though all σF regulatory factors are present in the predivisional cell [18,20,39,40]. To probe how elevated SpoIIE levels promote σF activation in the predivisional cell, we first asked whether the systems that regulate SpoIIE in B. subtilis are conserved in C. difficile. In B. subtilis, the scaffolding protein DivIVA biases SpoIIE to the forespore face of the polar septum, which contributes to compartment-specific σF activation [32,33,41,42]. If similar DivIVA-dependent mechanisms regulate SpoIIE localization in C. difficile, deletion of divIVA should disrupt the architecture of septal proteins and impair σF compartmentalization. To test this hypothesis, we generated an in-frame deletion of divIVA and analyzed the activation of σF using the Pgpr::SNAP reporter. In contrast with B. subtilis [33,41], loss of DivIVA in C. difficile did not impact the ability to activate σF in the forespore (Figs 5A, S9) or cause a sporulation defect. Instead, the sporulation efficiency of our ∆divIVA mutant was higher than WT, although this may be an artifact of the ∆divIVA chaining phenotype reducing the accuracy of cell counts and complicating the heat-resistant CFU measurements (Fig 5B). Complementation of the ∆divIVA strain with an ectopic copy of divIVA reversed the chaining and elevated sporulation phenotype (Fig 5B).
(a, b) Forespore-specific σF activity is independent of the structural protein DivIVA. (a) Representative images of cells harboring a σF activity reporter construct (Pgpr::SNAP) in the pyrE locus grown on sporulation-inducing medium for 14-15 hours. Cell membrane staining (FM 4-64) indicates that the ∆divIVA mutant has a cell separation defect, but it can still compartmentalize σF activity to the forespore. Scale bar, 5 µm. (b) Phase-contrast images of WT and mutant strains grown on sporulation-inducing medium for 24-26 hours show that ∆divIVA cells sporulate efficiently. H.R. refers to the sporulation efficiency of mutants relative to WT based on their heat resistance properties. Sporulating cells were either heat-treated or left untreated prior to plating the samples on rich medium containing taurocholate germinant. The viable spore count was determined relative to the untreated sample; the resulting ratio was compared to the ratio determined for WT. ∆spo0A was used as a negative control, since this strain cannot initiate sporulation [11]. The data shown represent the mean ± standard deviation of at least three biological replicates. (c) Western blot analyses of SpoIIE stability following the arrest of transcription with rifampicin (100 µg/mL) and translation with chloramphenicol (100 µg/mL). Growth curves indicating C. difficile’s susceptibility to these antibiotics are shown in S11 Fig. Samples were collected at the indicated times after antibiotic addition and probed with anti-SpoIIE and anti-GDH (loading control) antibodies. (d) Quantification of western blot shown in panel c. SpoIIE levels were quantified and normalized to the GDH loading control for each sample, and the fold-change in SpoIIE was calculated relative to WT at 0 minutes of transcription and translation arrest. Data are representative of three biological replicates.
Another mechanism that promotes SpoIIE activity specifically in the forespore is its selective degradation by FtsH in the mother cell [32]. Notably, SpoIIE and FtsH are encoded next to each other in the genome of most spore formers, including B. subtilis, and a conserved N-terminal sequence in B. subtilis SpoIIE targets it for degradation [28]. However, C. difficile spoIIE lacks synteny with the ftsH gene and the N-terminus of C. difficile SpoIIE does not share conserved features with the FtsH-targeted degradation tag of B. subtilis (S10 Fig). Consistent with the absence of these features, we found that C. difficile SpoIIE remains stable for at least 120 minutes after both transcription and translation are arrested during sporulation (Figs 5C, 5D, S11). Taken together, these findings suggest that the forespore-specific activation of σF is not dependent on canonical mechanisms for compartmentalizing SpoIIE activity in B. subtilis, with mechanisms beyond SpoIIE stability or DivIVA-directed localization constraining C. difficile SpoIIE activity to the forespore.
Activation of σF in the predivisional cell does not inhibit vegetative cell growth
In B. subtilis, the activation of σF is a critical developmental decision. If a sporulating culture is returned to nutrient-rich conditions, cells can revert to vegetative growth if they have not activated σF in the forespore. If they have activated σF in the forespore, the cell is irreversibly committed to completing this differentiation process regardless of the environmental conditions encountered [22,43]. Conversely, if a predivisional B. subtilis cell prematurely activates σF, the cell will lyse due to mechanisms that remain poorly understood [18,19,23]. Given that σF is prematurely activated in a third of sporulating C. difficile cells (Fig 3), we wondered how this ectopic activation affects the fate of these cells and whether cells that have activated σF in the forespore are committed to completing sporulation, as has been documented in B. subtilis [22]. To address the latter question, we used time-lapse microscopy to study the fate of sporulating WT, sigF –, and sigE– cultures after they were returned to nutrient-rich conditions using an anaerobic imaging system we recently optimized for C. difficile [44]. Consistent with studies in B. subtilis, cells capable of activating σF (WT and sigE–) were unable to resume vegetative growth upon return to nutrient-rich conditions, provided that they had completed asymmetric division, whereas cells deficient for σF (sigF–) rapidly resumed vegetative growth despite having divided asymmetrically (S12 Fig, S1-S6 Movies). Thus, σF is critical for committing C. difficile cells to completing sporulation.
We next examined the consequence of prematurely activating σF in predivisional C. difficile cells using time-lapse microscopy. To identify sporulating cells that had activated σF, we used WT and ∆camA strains harboring the σF activity reporter Pgpr::SNAP. Sporulating cells that had activated σF were first labeled with the SNAP-tag reagent under anaerobic conditions [45] and then inoculated onto nutrient-rich medium, and growth was analyzed over time. These analyses revealed that predivisional cells that had prematurely activated σF throughout the cell were competent to resume vegetative growth, whereas cells that properly compartmentalized σF activity in the forespore were not (Fig 6A, S7-S8 Movies). To determine whether cells that activate σF in the predivisional cell were capable of activating σE, the second sigma factor in the sporulation cascade, we introduced a σE-dependent transcriptional reporter (sipL-RBS-mScarlet-I3) into a WT strain carrying the σF-dependent transcriptional reporter (Pgpr::SNAP). Analyses of this dual reporter strain demonstrated that cells that activate σF in the forespore activate σE in the mother cell, while cells that prematurely activate σF in the predivisional cell fail to activate σE, indicating they do not proceed with the sporulation program (Fig 6B). Taken together, our data reveal that, despite the irreversible nature of σF activation in the forespore (S12 Fig), σF activation in the predivisional cell permits exit from the sporulation program and resumption of vegetative growth. This developmental flexibility presumably enhances the ability of C. difficile cells to adapt to fluctuating environments. Our analyses further suggest that CamA-mediated increases in spoIIE expression increase the frequency of cells that activate σF in both the forespore and the predivisional cell, allowing CamA to promote sporulation without compromising a population’s developmental plasticity.
(a) Time-lapse microscopy analyzing the fate of sporulating WT cells that have activated σF in the forespore relative to the whole cell upon being transferred to nutrient-rich conditions. A WT strain carrying a σF activity transcriptional reporter (Pgpr::SNAP) integrated into the pyrE locus was grown for 14 hours on sporulation-inducing medium. The cells were then labeled with SNAP-substrate to visualize cells that have activated σF. The labeled cells were then spotted onto nutrient-rich agarose pads supplemented with cysteine. Agarose pads were prepared in the anaerobic chamber using gas-tight Gene Frames. After inoculating the agarose pad with the sporulating cultures, the growth chamber was sealed with a coverslip and then removed from the chamber for imaging. Cells were imaged every 2.5 min for approximately 4 hours. Green arrows indicate cells that have activated σF in the forespore; yellow arrows indicate cells that have activated σF across the whole cell. Corresponding movies are provided as S7 and S8 Movies. Images are representative of three independent replicates. (b) Images of WT cells harboring a σF activity reporter (Pgpr::SNAP) integrated into the ectopic pyrE locus and a bicistronic sipL-RBS-mScarlet-I3 transcriptional reporter (reflecting σE activity) integrated into the native sipL locus. Cells were grown on sporulation-inducing media for 15 hours before labeling and fixation. Green arrows indicate cells that have activated σF in the forespore; yellow arrows indicate cells that have activated σF across the whole cell; purple arrows indicate cells that have activated σE. Scale bar, 5 µm. Images are representative of three independent replicates.
CamA confers a fitness advantage during infection that is largely independent of its effect on sporulation
Although the ability to sporulate does not influence C. difficile’s ability to cause gastrointestinal disease, it is essential for transmission between hosts [11] and may contribute to persistence and disease recurrence [12]. Given the potential for mice to reinoculate themselves with spores through coprophagy, we sought to determine the extent to which ∆camA’s sporulation defect contributes to its persistence defect. To this end, we compared the relative fitness of the Me3* strain, which specifically recapitulates the sporulation defect of the ∆camA mutant, to WT and ∆camA in competition experiments. After sensitizing mice to infection with an antibiotic treatment regimen, mice were inoculated with a 1:1 mixture of spores consisting of pairwise combinations of WT, ∆camA, and Me3* (Fig 7A). To differentiate between strains, one member of each pair harbored a gene encoding spectinomycin resistance (specR). To control for potential bias due to the presence of the specR cassette, we swapped the cassette between strains across replicates.
(a) Overview of the competitive infection model in mice. Female C57BL/6 mice were provided with water containing cefoperazone (0.5 mg/mL) for 10 days prior to an IP injection of clindamycin (10 mg/kg). Mice were inoculated via oral gavage with a 1:1 ratio of competing strains for a total dose of 105 C. difficile spores. Bacterial CFU, mouse body weight, and body condition score were recorded at the indicated time points post-infection. The relative fitness of (b) WT/WT (2 experiments, 8 mice total), (c) ∆camA/WT (4 experiments, 18 mice total), (d) Me3*/WT (3 experiments, 12 mice total), and (e) ∆camA/Me3* (3 experiments, 12 mice total). The competitive index was calculated as (CFUoutput, Strain A/ CFUoutput, Strain B) ÷ (CFUinput, Strain A/ CFUinput, Strain B). (f) The competitive index of each pairwise combination on the final day of coinfection was determined, and statistical significance was assessed using a one-way ANOVA and Tukey’s multiple-comparisons test.
As expected for infections with C. difficile 630∆erm [46], the mice exhibited mild weight loss and diarrhea at 2 days post-infection, but then regained the lost weight by Day 4 (S13 Fig). The mice remained stably colonized with C. difficile after their symptoms resolved and until the experiment was concluded (S13 Fig). To validate our method of strain differentiation using spectinomycin resistance, we competed WT with the specR-marked WT strain (WT/specR); the strains exhibited equivalent fitness over the 20-day infection period (Fig 7B). However, by Day 14, WT had outcompeted ∆camA nearly to the limit of detection, and at the conclusion of the experiment, the mean competitive index (CI) was 0.002 (Fig 7C). These data suggest that DNA methylation provides a fitness advantage for C. difficile, particularly during long-term colonization. To determine the extent to which ∆camA’s persistence defect is due to its impaired sporulation, we assessed the relative fitness of the Me3* mutant compared to WT and ∆camA. The Me3* mutant displayed a relatively mild fitness defect when co-infected with WT; this difference was not statistically significant (CI = 0.5) (Fig 7C). In contrast, Me3* outcompeted ∆camA (CI = 0.07) (Fig 7C). This suggests that the ability of CamA to enhance sporulation levels promotes C. difficile’s stable engraftment in a host, but it is not the primary driver of CamA’s fitness advantage. Together, these findings indicate that CamA-mediated DNA methylation regulates processes beyond sporulation that contribute to C. difficile’s ability to persist during murine infection.
Discussion
Methylation of DNA by orphan DNA methyltransferases is widely observed in bacteria and has been shown to regulate gene expression and promote phenotypic heterogeneity in many bacterial systems [3,47–50]. However, beyond a few well-studied examples [3,9], the regulatory mechanisms and functional consequences of these modifications are poorly understood. Here, we examined how CamA, an orphan DNA methyltransferase highly specific to the gastrointestinal pathogen C. difficile [10], influences the differentiation from vegetative cells into endospores. Our analyses identified a single methylation site, among the 7,721 motifs methylated by CamA, that regulates sporulation in C. difficile. Specifically, we found that methylation of a single site in the spoIIE promoter region enhances the expression of spoIIE, which increases the frequency of σF activation and, thus, the proportion of C. difficile cells that form spores (Fig 2). Taken together, our study expands the relatively limited number of examples where specific DNA methylation sites have been shown to regulate a given phenotype [7].
Since we also demonstrated that σF activation in the forespore commits sporulating C. difficile cells to completing this differentiation process (S12 Fig), similar to B. subtilis [22], our analyses reveal that C. difficile uses DNA methylation to regulate cell fate. Notably, the decision to sporulate is a high-stakes one: while spore formation is essential for C. difficile disease transmission [11], committing to sporulation severely limits population growth, as a vegetative cell can produce millions of progeny during the time it takes to form a spore [43,51]. To remain adaptable, spore-forming bacteria take reversible steps towards an irreversible point of commitment [22,43], up until which sporulating cells can revert to vegetative growth if environmental conditions improve. In B. subtilis, activation of σF in the forespore blocks the sporulating cell from reverting to vegetative growth [22], while activation of σF in the whole cell appears to be lethal [18,19,23].
In contrast, our study revealed an unexpected developmental flexibility to C. difficile’s sporulation process because we found that the activation of σF in predivisional cells does not cause developmental arrest or loss of viability in C. difficile. Instead, C. difficile cells that prematurely activate σF retain the capacity to resume growth when favorable conditions return (Fig 6). Since the ectopic activation of σF in predivisional cells is associated with high levels of spoIIE expression (Fig 4), our analyses reveal that DNA methylation saturates spoIIE expression to increase the proportion of C. difficile cells that form spores while also generating a subpopulation that remains adaptable to fluctuating environments.
Although we found that a specific methylation site regulates cell fate decisions in C. difficile, our study raises several questions. First, why can C. difficile abort the sporulation program after σF is activated in the predivisional cell, while comparable activation is lethal in B. subtilis? Recent work exploring metabolic differentiation in B. subtilis identified a σF-dependent gene that encodes an adaptor protein, MdfA, that activates the ClpCP protease. Following production of MdfA in the forespore, ClpCP degrades key metabolic enzymes and other targets, driving the forespore into metabolic dormancy and making it reliant on the mother cell for many metabolites [52,53]. Notably, inducing mdfA expression during vegetative growth results in filamentation and cell lysis [53], likely because MdfA and ClpCP degrade targets essential for normal vegetative growth. Strikingly, C. difficile does not encode MdfA or any identifiable homologs of this protein, providing a plausible explanation for the observed differences in tolerance to uncompartmentalized σF activity: in B. subtilis, σF activates a dormancy program that is lethal outside of the forespore, while C. difficile lacks this program and is thus more tolerant to whole-cell σF activation. Consistent with our proposal that elevated spoIIE transcription drives more uncompartmentalized σF activation, a catastrophic event in B. subtilis, analysis of a PspoIIE transcriptional reporter in B. subtilis suggests that spoIIE is expressed at lower levels in B. subtilis compared with C. difficile (S14 Fig). However, it should be noted that differences in sporulation induction methods, rates, and synchrony, as well as the location of the transcriptional reporter constructs in the genome between organisms, complicate the direct comparison of spoIIE transcription between B. subtilis and C. difficile.
Second, how does DNA methylation of the Me3 site in the PspoIIE promoter region increase spoIIE expression? Me3 overlaps a putative Spo0A recognition motif and is proximal to the -35 element (Figs 1D, S2), so methylation may increase the binding affinity of Spo0A or RNA polymerase to this promoter. While we did not detect appreciable differences in Spo0A binding affinity for methylated and unmethylated PspoIIE probes (S15 Fig), these experiments were performed in the absence of RNA polymerase, so they may not accurately recapitulate the transcriptional context found in C. difficile. Alternatively, it is possible that methylation of Me3 hinders the binding of a yet-unidentified transcriptional repressor, mimicking competitive binding models described in other systems [47,49,54]. In this scenario, a DNA-binding protein competes with Spo0A for occupancy of the Me3 site, hindering transcription in a proportion of the population.
Another key question is how does C. difficile SpoIIE bias the activation of σF to the forespore? We found that two of the mechanisms that promote the compartment-specific activation of σF in B. subtilis, namely the preferential localization of B. subtilis SpoIIE to the forespore face of the polar septum by DivIVA [32, 33, 41, 55] and the targeted degradation of monomeric SpoIIE by FtsH in the mother cell, do not appear to regulate SpoIIE activity in C. difficile. Specifically, DivIVA does not affect the ability of C. difficile to compartmentalize σF activity or complete the sporulation program, and C. difficile SpoIIE appears to be proteolytically stable (Fig 5), in contrast with B. subtilis [32]. Consistent with this lack of post-translational regulation, our data suggest that the compartment-specific activation of σF occurs within a relatively narrow window of spoIIE transcription. If spoIIE expression exceeds this window, σF is more likely to be activated in the predivisional cell; conversely, underexpressing spoIIE, such as in the ∆camA and Me3* mutants, reduces the frequency of this ectopic activation event (Fig 3). Still, an additional pathway promoting forespore-specific σF activation in B. subtilis is the genetic asymmetry established after polar septum formation and before chromosome translocation into the forespore [56–58]. Here, the spoIIAB gene is transiently occluded from the forespore, leading to the depletion of the proteolytically unstable σF inhibitor, SpoIIAB, from this smaller compartment, thereby contributing to compartmentalized σF activation. Since the spoIIAB gene lies closer to the oriC [59] in C. difficile than in B. subtilis (S16 Fig), spoIIAB is likely translocated into the forespore more quickly, so genetic asymmetry may be less of a contributing factor to the compartmentalization of σF activity in C. difficile.
Given these observations, we propose that, in the absence of multiple regulatory mechanisms controlling SpoIIE activity, C. difficile cells are more sensitive to elevated concentrations of this protein. This is in line with the finding that the stoichiometry between σF-activity regulators (SpoIIAA, SpoIIAB, and SpoIIE) is critical for compartmentalized σF activation [60]. Since multimerization of SpoIIE in B. subtilis controls its phosphatase activity [32,61,62], C. difficile SpoIIE may be more likely to oligomerize in cells that express spoIIE at high levels in predivisional cells. Additional work is required to establish precisely how C. difficile compartmentalizes σF activity.
Finally, by demonstrating that the Me3* mutation recapitulates the sporulation defect of a ∆camA mutant, we were able to specifically assess how the CamA-mediated increase in sporulation contributes to the ability of C. difficile to persist within a murine host. Our finding that a Me3* mutant can persist in mice with similar efficiency as WT strongly suggests that CamA controls processes beyond sporulation that promote persistence in a host. Since the fitness advantage of WT relative to ∆camA was only observed approximately ten days post-challenge, DNA methylation would appear to act downstream of the acute infection phase. Importantly, the function of CamA has been studied in only a limited number of lab conditions, where it has been implicated in modulating biofilm formation, cell length, and flagellar gene expression [10]. When grown in rich media, we note that cwp16 and cwp17 are moderately upregulated in ∆camA during exponential and stationary phase [7]. Given that the gene products, Cwp16 and Cwp17, belong to a class of immunoreactive, surface-exposed cell wall proteins [63,64], it is feasible to speculate that misregulation of these genes alters ∆camA’s ability to withstand the complex host immune system. Further transcriptional analyses, performed in conditions relevant to infection, would provide insight into the CamA-regulated factors that impact host fitness and help establish whether this enzyme affects transmission or disease recurrence. Regardless, given its specificity to C. difficile and potential influence on multiple relevant pathways during infection, CamA may potentially serve as a viable therapeutic target. Taken together, this study underscores the capacity for DNA methylation to serve as a regulatory mechanism and provides a framework for mapping functional methylation sites in complex bacterial methylomes.
Methods
C. difficile strain construction and growth conditions
All C. difficile strains used in this study are listed in S2 Table and are derivatives of 630∆erm. Mutant strains were constructed in a 630∆erm∆pyrE strain using the pyrE-based allele-coupled exchange, as described previously [65].
Strains were grown from frozen glycerol stocks on brain heart infusion medium supplemented with yeast extract (0.5% w/v) (BHIS) and taurocholate (0.1% w/v), thiamphenicol (10–15 µg/mL), kanamycin (50µg/mL), or cefoxitin (8 µg/mL) as needed. C. difficile defined medium (CDDM), supplemented with 5-fluoroorotic acid (2mg/mL) and uracil (5µg/mL) as needed, was used for constructing mutant strains. Sporulation analyses were carried out on cells cultured on 70:30 medium (70% BHIS and 30% SMC) as described previously [66]. For time-lapse experiments, strains were diluted into tryptone yeast extract broth supplemented with L-cysteine (0.1% w/v) (TYC) prior to inoculation onto 1.5% agarose pads supplemented with TYC medium. Resuspended and diluted fecal pellets collected during mouse experiments were plated on TCCFA plates with spectinomycin (500µg/mL) as needed. Cultures were grown at 37 °C under anaerobic conditions using a gas mixture containing 85% N2, 10% H2, and 5% CO2.
E. coli strain construction and growth conditions
All E. coli strains used in this study are listed in S3 Table, with links to plasmid maps containing primer sequences used for cloning. Plasmids were cloned using Gibson assembly and subsequently transformed into E. coli DH5ɑ. Isolated plasmids were sequence confirmed using Oxford Nanopore Technology before being transformed into E. coli HB101 for conjugation with C. difficile or E. coli BL21(DE3) for protein expression.
E. coli strains were grown in Luria-Bertani (LB) broth at 37 °C with 225 rpm shaking, supplemented with chloramphenicol (20 µg/mL), ampicillin (100 µg/mL), or kanamycin (30 µg/mL) as needed. For protein production, E. coli BL21(DE3) strains were grown in Terrific Broth (Thermo Fisher) supplemented with glycerol (0.5%), glucose (0.05%), and ɑ-lactose monohydrate (0.1%) at 20 °C for 60 hours with 225 rpm shaking.
B. subtilis strain construction and growth conditions
All B. subtilis strains used in this study are listed in S4 Table, with links to plasmid maps containing primer sequences used for cloning. Plasmids were linearized before transformation into B. subtilis. Positive integrants were confirmed by marker exchange.
B. subtilis strains were grown on LB medium at 37°C, supplemented with chloramphenicol (5 µg/mL) or spectinomycin (100µg/mL) as needed. Sporulation was induced by nutrient exhaustion by resuspension according to the Sterlini and Mandelstam method, as previously described [67,68].
Sporulation induction
Starter cultures were grown in BHIS broth until they reached early stationary phase, then back-diluted to an OD600 of 0.05 and grown until they reached an OD600 of 0.35 to 0.75. 120 μL of these cultures were spread on 70:30 plates (40 mL media per plate).
Heat resistance assay
After 22–24 hours of growth on 70:30 plates, sporulating cells were resuspended in phosphate-buffered saline (PBS), after which the culture was split into two. One sample was heat-treated at 60 °C for 30 minutes, while the other was plated. Both heat-treated and untreated samples were serially diluted and plated for viable count. Heat-resistance efficacies represent the average ratio of heat-resistant CFU to total CFU for a given strain relative to the ratio for the WT strain.
Spore purification
After a minimum of 64 hours of growth on 70:30 plates, cells were resuspended in ice-cold sterile water, washed 5–8 times, and incubated on ice overnight. Samples were then treated with DNase I (New England Biolabs) for 1 hour at 37°C, washed an additional 2 times in ice-cold water, and purified with a 20% - 50% Histodenz (Sigma Aldrich) gradient. After 2 final washes with water, spore purity was assessed using phase-contrast microscopy, and cells were enumerated by viable count.
RNA isolation
After 9–11 hours of growth on 70:30 plates, RNA was harvested from sporulating cells as previously described [69]. Briefly, samples were processed using the FastRNA ProBlue Kit (MP Biomedical) and a FastPrep automated homogenizer (three cycles of 40 seconds at setting 6.0; MP Biomedical). Contaminating genomic DNA was depleted by two sequential in-solution DNase treatments (New England Biolabs), followed by a column-bound DNase treatment with an RNeasy Kit (Qiagen). The DNase-treated RNA was enriched for mRNAs using a MICROBExpress Bacterial mRNA Enrichment Kit (Invitrogen). Finally, the SuperScript First-Strand Synthesis System (Invitrogen) was used for reverse transcription of the enriched RNA to generate cDNA using random hexamer primers.
RT-qPCR analysis
RT-qPCR was performed as previously described [10], using the iTaq Universal SYBR Green supermix (BioRad) in a Mx3005P qPCR instrument (Stratagene). The following cycling conditions were used: 95 °C for 2 minutes, 40 cycles of 95 °C for 15 seconds, and 60 °C for 1 minute. Transcript levels were normalized to the housekeeping gene rpoB using the standard curve method. Gene-specific primer pairs are listed in S5 Table.
Membrane, and SNAP labeling
FM4-64 (1 µg/mL; Invitrogen) was added to agarose pads to stain cell membranes. For labeling of strains encoding SNAP-tag fusions, cells were washed once with 0.5% Bovine Serum Albumin (BSA) in PBS and incubated with SNAP-tag 505-star or TMR-star (10 µM; New England Biolabs) at 37 °C in the dark. After 30 minutes, cells were washed three times in PBS and resuspended in PBS. All cell labeling was performed prior to fixation.
Cell fixation
Cells were fixed as previously described [70]. Briefly, a 5X fixation solution (containing 20 µL 16% paraformaldehyde and 100 µL 1M NaPO4 buffer) was added to 500µL culture. Samples were incubated for 30 minutes at room temperature, followed by 30 minutes on ice. Fixed cells were washed three times in PBS and imaged within 48 hours of fixation.
Microscope hardware
All samples were imaged on agarose pads made with TopVision Low Melting Point agarose diluted in PBS (1.5%; Thermo Fisher) and sealed with a coverslip. For phase-contrast and fluorescent micrographs, images were acquired using a Leica DMi8 inverted microscope equipped with a HC plan apochromat 64x 1.5 NA oil immersion phase contrast objective, as previously described [44,71]. Excitation light was generated with a Lumencor Spectra-X multi-LED light source; for all fluorescent proteins aside for SNAP-tag 505-star, this was coupled with an XLED-QP quadruple-band dichroic beam splitter and an external emission filter wheel (Leica). FM4–64 was excited at 550/38 nm, and the emitted light was filtered using a 705/72 nm emission filter; mScarlet, mScarlet-I3 and SNAP-tag TMR-star were excited at 550/38 nm, and the emitted light was filtered using a 590/50 nm emission filter. Images of SNAP-tag 505-star were captured with a YFP filter set (Chroma), equipped with a 500/20 nm excitation filter, a 515-nm dichroic filter, and a 525/30 nm emission filter. 1–2 µm z-stacks were taken when needed. All imaging was carried out a 37 °C using a microscope incubation system (Pecon).
Phase-contrast microscopy without fluorescence was performed using a Zeiss Axioskop upright microscope with a 100x Plan-NEOFLAUR oil-immersion phase-contrast objective and a Hamamatsu C4742-95 Orca 100 CCD Camera.
Time-lapse microscopy
Time-lapse imaging was performed as previously described [44]. Briefly, an anaerobic imaging chamber was constructed by layering two gas-impermeable 125 µL Gene Frames (Thermo Fisher) on a glass slide. Inside the anaerobic chamber, the Gene Frames were filled with pre-reduced TopVision Low Melting Point agarose (1.5%; Thermo Fisher) and TY media containing L-cysteine (0.1% w/v); a second glass slide was placed on the liquid media to create a flat surface; the slide was placed on a frozen freezer block until the agarose solidified. The second glass slide was removed, and the agarose pad was dried for 10 minutes prior to loading the cells and sealing the imaging chamber with a coverslip. The samples were imaged at 37˚ C at 2.5-minute intervals until they reached confluency in the field of view.
Imaging analysis and quantification
After image acquisition, images were exported and processed in FIJI. Images were cropped to remove any out-of-focus cells, and the best-focused z-plane for each channel was selected to correct for chromatic aberration. To improve display, brightness and contrast settings were scaled and applied equally to all images shown in a single plane. At least three images were captured per replicate, and every strain was analyzed with three biological replicates. For cell segmentation and quantification of fluorescence intensities, images were additionally processed. First, Instant Computational Clearing (ICC) was performed (LASX software; Leica) to avoid bleed-through of fluorescent signal into neighboring cells. The adaptive strategy was run with the feature scale set to 2683 nm and 98% strength. Following ICC, images were processed as indicated above to remove all out-of-focus cells. To quantify the mean fluorescence intensity per cell, the MATLAB-based image analysis pipeline SuperSegger [72] was used, with the supplied “60x E. coli” settings. For analysis of dual reporters presented in Fig 4, images were first processed via the SuperSegger image analysis pipeline, after which cells were manually categorized by σF-activation status.
Transmission electron microscopy
After 10 hours of growth on 70:30 plates, sporulating cells were fixed and processed for electron microscopy by the University of Vermont Microscopy Center as previously described [73]. Briefly, cells were fixed in 2% paraformaldehyde and 2% glutaraldehyde in 0.1 M sodium cacodylate buffer for 2 hours at 4°C, then washed with 0.1 M sodium cacodylate buffer. Samples were embedded in 2% agarose and cross-linked with 1% paraformaldehyde and 2.5% glutaraldehyde in 0.1 M cacodylate buffer, then washed with 0.1 M cacodylate buffer. After being minced into 1mm3 pieces, samples were dehydrated in a graded ethanol series (35%, 50%, 70% 85%, 95% and 100%) and cleared twice in 100% propylene oxide. Samples were infiltrated with Spurr’s epoxy resin in 100% polypropylene oxide in increasing ratios, then embedded in 100% Spurr’s resin and polymerized at 70°C. First, semi-thin sections (1 µm) were sliced on a Reichart Ultracut Microtome and stained with methylene blue-azure II; next, ultra-thin sections were cut with a diamond knife, retrieved on 200-mesh thin-bar nickel grids, and contrasted with uranyl acetate (2% in 50% ethanol) and Reynolds’ lead citrate. Images were captured on a JEOL 1400 Transmission Electron Microscope (Jeol USA).
Protein purification
E. coli BL21(DE3) encoding lactose-inducible, His6-tagged proteins of interest (SpoIIE∆1–905, Spo0A DNA binding domain (DBD), full-length Spo0A and CamA) were grown to stationary phase, back-diluted 1:1000 in 1 L Terrific Broth (Thermo Fisher) supplemented with glycerol (0.5%), glucose (0.05%) and ɑ-lactose monohydrate (0.1%). Cell cultures were grown at 20 °C with 225 rpm shaking; after 60 hours, cultures were pelleted, resuspended in 25 mL low imidazole buffer (LIB; 500 mM NaCl, 50 mM TRIS-HCl pH 7.5, 15 mM imidazole, 10% glycerol, 2 mM β-mercaptoethanol), and flash frozen in liquid nitrogen. Once thawed, cells underwent three cycles of probe sonication consisting of 45 seconds at 40% amplitude followed by 5 minutes on ice. Samples were pelleted at 1000 rpm for 45 minutes at 4 °C, and tagged proteins were affinity-purified from cleared lysates using Ni-NTA agarose beads with gentle rocking at 4 °C for 2 hours. Beads were washed three times with LIB and protein was eluted with high imidazole buffer (HIB; 500 mM NaCl, 50 mM TRIS-HCl pH 7.5, 200 mM imidazole, 10% glycerol, 2 mM β-mercaptoethanol). Beads were washed 6 times with HIB, pelleted, and the supernatant containing the eluted protein was collected and analyzed using Coomassie staining.
Affinity-purified proteins were then concentrated using an Amicon Ultra-15 10 kDa cutoff centrifugal filter (Millipore Sigma) and further purified by size exclusion chromatography (SEC) using a Superdex 200 Increase 10/300 GL column and 200 mM NaCl, 10 mM Tris pH 7.5, and on an AKTA pure protein liquid chromatography instrument. Fractions were collected every 0.5 mL, and fractions of interest were reconcentrated, aliquoted, and flash-frozen in liquid nitrogen.
Fluorescence polarization assay
25-30 bp double-stranded DNA (dsDNA) was generated by incubating equal molar ratios of 6-Carboxyfluorescein-labeled oligonucleotides with their unlabeled complementary counterpart in annealing buffer (10 mM TRIS-HCL pH 7.5, 1 mM EDTA, 50 mM NaCl) at 95 °C for 15 minutes and gradually cooling the solution to room temperature. All oligonucleotide sequences are provided in S4 Table. 1 nM dsDNA was mixed with serially diluted, purified Spo0A in fresh binding buffer (50 mM Tris-HCl pH 8, 100 mM KCl, 2.5 mM MgCl2, 0.2 mM DTT, 10% glycerol, and 2 µg salmon sperm DNA in H2O). After 10 minutes of incubation at room temperature, fluorescence polarization was read using a Synergy H1 plate reader (Agilent BioTek). 6-Carboxyfluorescein was excited at 485/20 nm, and emission was detected at 528/20 nm.
Electromobility shift assays
250 bp DNA fragments encompassing the spoIIE promoter were amplified from purified C. difficile 630∆erm genomic DNA using IRDye800-conjugated or regular primers (Integrated DNA Technologies). PspoIIE-specific pairs are provided in S5 Table. The resulting labeled and cold competitor DNA probes were PCR- and gel-purified prior to use. 20 fmol labeled DNA (or 20 fmol labeled with 1000 fmol cold competitor DNA) was mixed with purified Spo0A-DBD-His6 in binding buffer (10 mM Tris-HCL, pH 7.6, 1 mM EDTA, 50 mM NaCl, 1 mM DTT, 5% glycerol) for 30 minutes at 37 ˚C. 6X loading dye (40% w/v sucrose, 0.25% bromophenol blue, and 0.25% xylene cyanol FF) was added to 1X before samples were loaded and run on an 8% native polyacrylamide gel at 80 V at 4 ˚C in the dark.
Methylation of PspoIIE
The enzymatic activity of purified CamA-His6 was confirmed using the MTase-Glo Methyltransferase Assay Kit [74,75] (Promega). Briefly, 60 bp dsDNA were generated as described in the above section; all oligonucleotide sequences are provided in S5 Table. In white assay plates (CORNING), 5 µM dsDNA was added to a mixture of 40 µM S-adenosyl-L-methionine and CamA at the indicated concentrations in a reaction buffer (80 mM Tris-Buffer, pH 8.0, 200 mM NaCl, 4 mM EDTA, 12 mM MgCl2, 0.4 mg/mL BSA, 4 mM DTT). After 30 minutes of incubation at room temperature, the protocol was completed per the manufacturer’s instructions. Luminescence signal was measured by a Synergy H1 plate reader (Agilent BioTek). To methylate DNA probes for electromobility shift assays, 200 nM DNA fragments, encompassing the spoIIE promoter, were incubated with 1 µM affinity- and SEC-purified CamA-His6 for 30 minutes at room temperature and PCR purified.
Protein degradation and western blot
After 11 hours of growth on 70:30 media, sporulating cells were resuspended in BHIS broth. Translation was inhibited with the addition of chloramphenicol (100 µg/mL) and transcription was inhibited by the addition of rifampicin (100 µg/mL); samples were removed at the indicated time points, pelleted at 4°C, and frozen at -80 °C. Samples were prepared for immunoblotting as previously described [69]. Briefly, they underwent three freeze-thaw cycles followed by the addition of EBB buffer (9 M urea, 2 M thiourea, 4% SDS, 2 mM beta-mercaptoethanol) and then were incubated at 95 °C with periodic vortexing. Pellets were resuspended, and bromophenol blue was added to 0.01% (w/v) to visualize the samples. Samples were vortexed vigorously, boiled, and pelleted again, immediately prior to loading on a gel. Proteins were resolved on a 12% SDS-polyacrylamide gel electrophoresis (SDS-PAGE) gel.
Proteins were transferred to polyvinylidene fluoride membranes (PVFD), which was washed and blocked with Odyssey blocking buffer (LiCor) for 30 minutes. PVDF membranes were then probed with rabbit anti-SpoIIE (1:1000 dilution; generated by CoCalico Biologicals against SpoIIE906–2370 and further purified using affinity subtraction) and chicken anti-GDH (1:5000 dilution; ThermoFisher) polyclonal primary antibodies. After washing in PBS with Tween, PVFD membranes were probed with goat anti-rabbit IRDye680 and donkey anti-chicken IRDye800 secondary antibody (1:12,000 dilution; LiCor Biosciences).
Growth curve assays
Starter cultures were grown in BHIS broth until they reached early stationary phase and then back-diluted to an OD600 of 0.05. Once grown to mid-log phase, cultures were normalized to a starting OD600 of 0.5. Cells were diluted 1:30 in BHIS, with antibiotics supplemented as indicated, and 150 µL was distributed into wells in technical triplicate. Plates were incubated in an Epoch plate reader (Agilent BioTek) at 37 °C in the anaerobic chamber with linear shaking every 2 minutes. OD600 values were recorded every 15 minutes.
Mouse infection experiment
Groups of seven-week-old female C57BL/6 mice (purchased from Jackson Laboratory) were housed together in a large, sterile rat cage to normalize their microbiota. After 10 days, cefoperazone (0.5mg/mL) was administered in their drinking water, which was provided ad libitum for 10 days and replaced every 2 days. Mice were returned to regular drinking water for 2 days before receiving a single intraperitoneal injection of clindamycin (10 mg/kg in 200 μL PBS). After 24 hours, groups of 4 mice were transferred to smaller cages and inoculated via oral gavage with a total of 1 × 105 purified spores in 200 µL PBS. The spore solution contained a 1:1 mixture of strains of interest, with one strain harboring the aad9 gene encoding spectinomycin resistance integrated into the pyrE locus. Weight and body condition scores were recorded, and fecal pellets were collected at the indicated times. Fecal pellets were weighed prior to being resuspended in 1 mL PBS, and 10-fold dilutions were plated on TCCFA agar in the presence and absence of spectinomycin (500 µg/mL). Colony-forming units were counted and normalized to the mass of the original fecal pellet. The competitive index was calculated as (OutputSpecS/OutputSpecR)÷ (InputSpecS/InputSpecR), or vice versa. Cage changes were performed every 2 days, and mice were fed irradiated Lab Diet 2918 throughout. At the experimental endpoint, mice were euthanized with CO2 asphyxiation followed by cervical dislocation.
Supporting information
S1 Fig. Promoter alignment of 135 strains with highlighted CAAAAA motif positions.
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S2 Fig. Architecture of the spoIIE promoter region in C. difficile and B. subtilis.
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S3 Fig. C. difficile ∆spoIIE mutants fail to complete sporulation due to an inability to activate σF.
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S4 Fig. A single methylation site in the spoIIE promoter enhances spoIIE transcription.
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S5 Fig. Mutation of the CamA methylation site, Me3, in the spoIIE promoter does not affect the ability of Spo0A to recognize its binding sites.
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S6 Fig. C. difficile cells display a high rate of aberrant σF activation.
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S7 Fig. Whole-cell σF activation does not appear to be due to leakage of the reporter protein into the mother cell cytoplasm.
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S8 Fig. Elevated spoIIE expression correlates with the loss of σF compartmentalization across biological replicates.
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S9 Fig. C. difficile ∆divIVA mutants are able to compartmentalize σF activity to the forespore.
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S10 Fig. The synteny of spoIIE and ftsH, which encodes a protease that degrades B. subtilis SpoIIE, is not conserved in C. difficile.
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S11 Fig. C. difficile is susceptible to the antibiotics used to induce translation arrest, as performed in Fig 5.
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S12 Fig. σF activation in the forespore irreversibly commits a cell to completing sporulation in C. difficile.
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S13 Fig. Dynamics of competitive C. difficile infection.
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S14 Fig. Sporulating C. difficile cells appear to express spoIIE to a higher degree than B. subtilis.
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S15 Fig. Methylation does not directly increase the binding affinity of Spo0A to PspoIIE in vitro.
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S16 Fig. Positions of the origin of replication (oriC), spoIIE, and spoIIAB on the C. difficile and B. subtilis genomes.
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S1 Table. Genome accession numbers used in S1 Fig.
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S2 Table. C. difficile strains used in this study.
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S4 Table. B. subtilis strains used in this study.
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S1 Movie. Time-lapse microscopy of sporulating WT cells upon their transfer to nutrient-rich conditions, as shown in S12 Fig. (Left) The cell membrane (FM 4-64) is shown in gray.
(Right) Merged FM4–64 and phase channels. The cell membrane is shown in cyan. (replicate 1)
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S2 Movie. Time-lapse microscopy of sporulating WT cells upon their transfer to nutrient-rich conditions, as shown in S12 Fig. (Left) The cell membrane (FM 4-64) is shown in gray.
(Right) Merged FM4–64 and phase channels. The cell membrane is shown in cyan. (replicate 2)
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S3 Movie. Time-lapse microscopy of sporulating sigF – cells upon their transfer to nutrient-rich conditions, as shown in S12 Fig. (Left) The cell membrane (FM 4-64) is shown in gray.
(Right) Merged FM4–64 and phase channels. The cell membrane is shown in cyan. (replicate 1)
https://doi.org/10.1371/journal.ppat.1013845.s024
(AVI)
S4 Movie. Time-lapse microscopy of sporulating sigF – cells upon their transfer to nutrient-rich conditions, as shown in S12 Fig. (Left) The cell membrane (FM 4-64) is shown in gray.
(Right) Merged FM4–64 and phase channels. The cell membrane is shown in cyan. (replicate 2)
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(AVI)
S5 Movie. Time-lapse microscopy of sporulating sigE – cells upon their transfer to nutrient-rich conditions, as shown in S12 Fig. (Left) The cell membrane (FM 4-64) is shown in gray.
(Right) Merged FM4–64 and phase channels. The cell membrane is shown in cyan. (replicate 1)
https://doi.org/10.1371/journal.ppat.1013845.s026
(AVI)
S6 Movie. Time-lapse microscopy of sporulating sigE – cells upon their transfer to nutrient-rich conditions, as shown in S12 Fig. (Left) The cell membrane (FM 4-64) is shown in gray.
(Right) Merged FM4–64 and phase channels. The cell membrane is shown in cyan. (replicate 2)
https://doi.org/10.1371/journal.ppat.1013845.s027
(AVI)
S7 Movie. Time-lapse microscopy of sporulating WT cells that have activated σF upon their transfer to nutrient-rich conditions, as shown in Fig 6. (replicate 1)
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(AVI)
S8 Movie. Time-lapse microscopy of sporulating WT cells that have activated σF upon their transfer to nutrient-rich conditions, as shown in Fig 6. (replicate 2)
https://doi.org/10.1371/journal.ppat.1013845.s029
(AVI)
Acknowledgments
We thank Fernando H. Ramirez Guadiana and the David Rudner Lab for generously teaching us B. subtilis culturing and sporulation methods, providing us with media, B. subtilis strain BDR123, and the pLD30 amyE integration plasmid. We thank Brad Vietje and the University of Vermont Microscopy Imaging Core for his excellent work processing samples and acquiring the images for Transmission Electron Microscopy analyses. We are grateful to the Shen Lab for helpful discussions and feedback on this manuscript and the three anonymous reviewers for their valuable input. We also thank the Cosman Fellowship for its support of graduate student education at Tufts.
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