Abstract
Phenotypic heterogeneity is an important mechanism for regulating bacterial virulence, where a single regulatory switch is typically activated to generate virulent and avirulent subpopulations. The opportunistic pathogen Acinetobacter baumannii can transition at high frequency between virulent opaque (VIR-O) and avirulent translucent subpopulations, distinguished by cells that form opaque or translucent colonies. We demonstrate that expression of 11 TetR-type transcriptional regulators (TTTRs) can drive cells from the VIR-O opaque subpopulation to cells that form translucent colonies. Remarkably, in a subpopulation of VIR-O cells, four of these TTTRs were stochastically activated in different combinations to drive cells to the translucent state. The resulting translucent subvariants exhibited unique phenotypic differences and the majority were avirulent. Due to their functional redundancy, a quadruple mutant with all four of these TTTRs inactivated was required to observe a loss of switching from the VIR-O state. Further, we demonstrate a small RNA, SrvS, acts as a “rheostat,” where the levels of SrvS expression influences both the VIR-O to translucent switching frequency, and which TTTR is activated when VIR-O cells switch. In summary, this work has revealed a new paradigm for phenotypic switching in bacteria, where an unprecedented number of related transcriptional regulators are activated in different combinations to control virulence and generate unique translucent subvariants with distinct phenotypic properties.
Keywords: phenotypic heterogeneity, Acinetobacter, TetR regulator
Significance Statement.
Acinetobacter baumannii is a global healthcare concern that has become exceedingly difficult to treat with antibiotics. Infections due to A. baumannii have seen a resurgence due to the SARS-CoV-2 pandemic, where it is often the primary cause of secondary bacterial pneumonia in COVID-19 patients. This study reports a novel phenotypic switch that generates virulent and avirulent subpopulations. The regulatory mechanism controlling the virulent and avirulent states has not been previously described in bacteria and represents a new paradigm for phenotypic switching. Due to the combinatorial nature of this switching mechanism, a large variety of avirulent subpopulations can be generated, each with unique phenotypes. Importantly, this virulence switch represents a potential therapeutic target, as its manipulation could render cells avirulent.
Introduction
The opportunistic pathogen Acinetobacter baumannii has become a major healthcare threat worldwide due to its ability to persist in hospital settings and to develop antibiotic resistance (1–4). This bacterium causes a variety of infections in humans, including those of the lung, skin and soft tissue, bloodstream, and urinary tract (1–4). The yearly incidence of A. baumannii infections is 60,000 in the United States and over a million worldwide (5). A recent surge in A. baumannii infections has resulted from the SARS-CoV-2 pandemic, where several large studies have shown A. baumannii was the leading cause of secondary bacterial pneumonia in patients on mechanical ventilators (6, 7). The mortality rate of extensively drug resistant A. baumannii infections can approach 70% to 80% (5).
Phenotypic switching in bacteria is an increasingly appreciated mechanism that allows cells to adapt to different environments (8–11). One mechanism by which this is regulated is the stochastic activation of a transcriptional regulator that maintains an ON state through cell division and imparts new phenotypes to a cell (12, 13). By rapidly changing between subpopulations, a bacterium engages in a form of bet-hedging to optimally grow or survive under variable conditions. For example, phenotypic heterogeneity controls virulence in a number of pathogens (10, 14–20). In A. baumannii, strains can switch between cells with two distinct phenotypes (21–23). One cell type, designated VIR-O, is virulent in a mouse model and forms opaque colonies. The other cell type, AV-T, is avirulent and forms translucent colonies (22). This switch has been observed in both laboratory strains and in clinical isolates, although the frequency of switching in either direction can exhibit significant variation (21).
The TetR type transcriptional regulator (TTTR) family is widespread in bacteria, and A. baumannii is predicted to encode 42 members of this family (24, 25). These proteins can act as either repressors or activators of gene expression and typically use a small molecule cofactor to modulate activity (25). The TTTR ABUW_1645 was previously shown to be upregulated in AV-T cells relative to VIR-O cells (22). In addition, artificial overexpression of the ABUW_1645 gene in VIR-O cells converted them to phenotypes associated with the AV-T state, including a translucent colony phenotype and loss of virulence (22). ABUW_1645 has also been shown to be required for virulence in a Galleria mellonella model of infection, although in a mouse lung model, an ABUW_1645 mutant did not alter the number of cells in the lung at 24 hours post-infection (22, 26).
In this study, we demonstrate that the role of TTTRs in switching between the VIR-O and AV-T states is far more complex than previously appreciated (22). Overexpression of at least 11 members of this family can convert VIR-O cells to many of the phenotypes associated with the AV-T state. In subpopulations of VIR-O cells, different combinations of TTTRs are stochastically activated to switch cells to the translucent state, with a majority of the translucent population exhibiting loss of virulence. Activation of ABUW_1645 was the most frequent pathway to drive cells to the translucent state. However, additional TTTRs can be activated alone or in combination with ABUW_1645 to generate translucent subpopulations that are avirulent if ABUW_1645 is in the ON state. Lastly, we demonstrate that an sRNA (SrvS) directly influenced both the VIR-O to translucent switching frequency and the TTTR activation profile during the switch.
Results
Overexpression of the TTTRs ABUW_1959 or ABUW_2818 converts VIR-O cells to a translucent state
Previous work demonstrated the TTTR ABUW_1645 was upregulated in AV-T cells and its overexpression in VIR-O cells converted them to an avirulent translucent state (Fig. 1A) (22). A recently identified phenotype associated with ABUW_1645 overexpression in VIR-O cells was a reduction in surface motility (Fig. 1B), a characteristic associated with AV-T cells (21). In addition, we have found that VIR-O and AV-T cells differ in secretion of the AbaI-dependent quorum sensing signal 3-OH-C12-HSL, where VIR-O cells secrete far greater amounts than AV-T cells (Fig. S1A). Overexpression of ABUW_1645 in VIR-O cells resulted in loss of 3-OH-C12-HSL secretion (Fig. 1C). Therefore, overexpression of ABUW_1645 converted VIR-O cells to all known phenotypes of the AV-T state. This effect was not limited to strain AB5075, as overexpression of ABUW_1645 in three other clinical isolates also drove VIR-O cells to a translucent colony phenotype, reduced motility, and led to a reduction in 3-OH-C12-HSL secretion (Fig. S1B to D). Based on this data, it was hypothesized that the stochastic activation of the ABUW_1645 gene in a subset of VIR-O cells was a key step in the switch from VIR-O to the AV-T state. However, as previously reported, an in-frame deletion of ABUW_1645 did not impact VIR-O to AV-T switching (22), suggesting the possibility that additional functionally redundant TTTRs might be present.
Our RNA-seq data sets between VIR-O and our lab stock of AV-T cells, hereafter referred to as AV-T.LS, had identified two additional TTTRs, encoded by the ABUW_1959 and ABUW_2818 genes, that were strongly upregulated in AV-T.LS cells (22). This differential expression was confirmed by qRT-PCR analysis, where ABUW_1959 expression was increased 18.5 ± 7.2-fold and ABUW_2818 was increased 28.1 ± 7.7-fold in AV-T.LS relative to VIR-O cells. As a reference, ABUW_1645 expression was upregulated 149.8 ± 34.6-fold by qRT-PCR in AV-T.LS cells. The ABUW_1645,ABUW_1959, and ABUW_2818 genes are all unlinked on the chromosome.
To determine if increased expression of ABUW_1959 or ABUW_2818 in VIR-O cells could convert them to phenotypes previously associated with the AV-T state (Fig. 1), each gene was cloned in the plasmid vector pWH1266, where transcription was driven from the β-lactamase promoter as previously done with ABUW_1645 (22). It should be noted that the levels of TTTR expression from the pWH1266 derivatives are approximately 10-fold higher than normally seen in AV-T cells. Constitutive expression of either ABUW_1959 or ABUW_2818 in the VIR-O variant converted all cells to the translucent colony phenotype (Fig. 1A), reduced motility (Fig. 1B), and blocked 3-OH-C12-HSL secretion (Fig. 1C). As a control, the overexpression of another TTTR arpR cloned in an identical manner (27) did not convert VIR-O cells to any of the AV-T–associated phenotypes. To examine whether virulence was altered due to TTTR overexpression, VIR-O cells overexpressing each TTTR were used to intranasally infect mice, and survival was measured (Fig. 1D). VIR-O cells overexpressing ABUW_1645 were attenuated as seen previously (22). In contrast, VIR-O cells overexpressing ABUW_1959 or ABUW_2818 remained virulent despite their translucent phenotype (Fig. 1D). The ABUW_1645,ABUW_1959, andABUW_2818 genes were also cloned in a manner where expression was driven by their native promoter. This resulted in approximately 10-fold lower levels of expression when compared to the constructs used in Fig. 1 and were similar to that observed naturally in AV-T cells. These constructs in VIR-O cells resulted in a hyperswitching phenotype, where cells exhibited a 4 to 9-fold increase in the rate of switching to the AV-T variant (Fig. S1E).
The TTTRs ABUW_1645, 1959, and 2818 control both overlapping and distinct regulons
To determine if ABUW_1959 and ABUW_2818 regulate similar genes as previously shown for ABUW_1645 (22), we conducted RNA-seq analysis of VIR-O cells overexpressing each regulator and compared it to cells containing a vector control. Table S1 shows a summary of genes regulated by the TTTRs ABUW_1645, 1959, and 2818. Overexpression of all TTTRs caused downregulation of the following sets of genes: (i) katA (ABUW_2504), katE (ABUW_2436), and katX (ABUW_2059) and additional genes predicted to encode peroxidases, and glutathione-dependent formaldehyde-activating enzymes, indicating a TTTR-induced state of lower tolerance for oxidative stress; (ii) putative oxidoreductases, which may lessen ROS generation from electron transport within cells to help balance this lower tolerance; (iii) heme oxygenase-like proteins, as well as one gene encoding a putative hemerythrin; (iv) otsA and otsB, required for trehalose biosynthesis; (v) glutathione S-transferases (GSTs), which catalyze the conjugation of glutathione (GSH), a sulfur-containing antioxidant synthesized from cysteine, with xenobiotics to promote their excretion from the cell; (vi) a putative fimbrial operon ABUW_1631–1634; and (vii) genes with unknown function.
Genes upregulated by all TTTRs included genes within a large operon (ABUW_2526–ABUW_2536) encoding for the degradation of phenylacetic acid (PAA). A putative fimbrial operon ABUW_2052–2056 was strongly activated by ABUW_1645, but not by the other TTTRs. Lastly, one of the most intriguing findings from this analysis was that a large subset of genes related to Type IV pili expression were strongly downregulated by ABUW_1645, but upregulated by both ABUW_1959 and ABUW_2818. Type-IV pili are important for motility and competence in A. baumannii (28).
Expression of additional TTTRs can convert VIR-O cells to a translucent state
A bioinformatic analysis of the ABUW_1645, 1959, and 2818 proteins determined that they possessed a high degree of homology in their helix–turn–helix (HTH) DNA binding regions, which likely accounted for their ability to regulate similar sets of genes when overexpressed (Fig. S2). During this analysis, it became apparent that eight additional TTTRs were also highly conserved to ABUW_1645 in the HTH region. These included ABUW_3353, 2596, 1498, 3194, 1163, 0222, 2629, and 1912 (Fig. S2). Each of these TTTRs were individually overexpressed from the β-lactamase promoter in pWH1266 in an identical manner as was done for the ABUW_1645, 1959, and 2818 genes and introduced into VIR-O cells. In each case, this resulted in conversion to a translucent colony phenotype, loss of 3-OH-C12-HSL secretion and, in most cases, a reduction in surface motility (Table 1). A pseudogene ABUW_0939 was also identified encoding a highly similar HTH region as ABUW_1645, but was not analyzed.
Table 1.
TetR overexpressed | Opacitya | QS signal secretionb | Motilityc |
---|---|---|---|
ABUW_1645 | Translucent | – | – |
ABUW_2818 | Translucent | – | + |
ABUW_1959 | Translucent | – | – |
ABUW_3353 | Translucent | – | – |
ABUW_2596 | Translucent | – | – |
ABUW_1498 | Translucent | – | – |
ABUW_3194 | Translucent | – | + |
ABUW_1163 | Translucent | – | – |
ABUW_0222 | Translucent | – | – |
ABUW_2629 | Translucent | – | + |
ABUW_1912 | Translucent | – | – |
Determined on 0.5× agar plates using oblique lighting.
Determined by plating on a soft agar lawn containing an A. tumefaciens traG-lacZ biosensor for detection of 3-OH-C12-HSL. A (–) indicates greater than 70% reduction in halo size relative to cells with pWH1266 vector alone.
Determined on 0.35% Eiken agar plates. A (–) indicates motility that was at least 30% less than with pWH1266 vector alone based on three biological replicates.
Stochastic activation of different TTTRs, either alone, or in various combinations drives VIR-O cells to a translucent state
As noted above, in our lab stock of the AV-T variant (AV-T.LS), the genes ABUW_1645, ABUW_1959, and ABUW_2818 encoding TTTRs were upregulated 150, 19, and 28-fold, respectively (Fig. 2). Since additional TTTRs were identified that could drive VIR-O cells to the translucent state (Table 1), we considered the possibility that one or more of these were also activated in AV-T.LS cells that had switched from the VIR-O state. Each TTTR shown in Table 1 was tested for expression by qRT-PCR in VIR-O and the AV-T.LS variant and all exhibited similar levels of expression, indicating that they were all in the OFF state in the AV-T.LS cells (Fig. 2).
To confirm the expression profile seen in the AV-T.LS variant, a second translucent variant designated AV-T.T1 was independently derived from a VIR-O colony and expression of the entire panel of TTTR genes in Table 1 was examined by qRT-PCR analysis. Unexpectedly, when compared to the VIR-O parent, a different pattern of TTTR gene expression was observed in AV-T.T1, with only ABUW_1645 upregulated (Fig. 2). As a control, the TTTR expression profile was similar between the two VIR-O isolates used to derive each translucent variant, demonstrating that variations were occurring within the independent translucent isolates (data not shown). To determine if ABUW_1645 in the “ON” state was required to maintain AV-T.T1 cells in the translucent state, an ABUW_1645::T26 insertion was introduced into the AV-T.T1 cells. This mutation converted translucent cells to the VIR-O state based on colony opacity and the restoration of 3-OH-C12-HSL secretion (Fig. S3A and B). This result confirmed that the activation of ABUW_1645 had been responsible for the initial conversion of VIR-O to a translucent state during the isolation of AV-T.T1, and that ABUW_1645 was required to maintain the translucent state in AV-T.T1. As controls, when ABUW_1959::T26 or ABUW_2818::T26 insertions were moved into AV-T.T1, cells remained in the translucent state (Fig. 2).
The TTTR expression pattern was then examined in a third independent translucent variant, designated AV-T.T3. This new variant exhibited a third distinct pattern, where only ABUW_1959 was in the ON state and upregulated 19.2 ± 11-fold (Fig. 2). In AV-T.T3, introduction of an ABUW_1959::T26 insertion converted cells back to the VIR-O state and restored 3-OH-C12-HSL production (Fig. S3C and D). As expected, AV-T.T3 cells with ABUW_1645::T26 or ABUW_2818::T26 insertions remained in the translucent state, as these genes were already OFF and not contributing to maintenance of the translucent state (Fig. 2). Therefore, only ABUW_1959 expression was required to keep AV-T.T3 cells in the translucent state.
A fourth independently isolated translucent variant (AV-T.T6) exhibited a pattern of TTTR gene expression that was distinct from the previous three variants, where ABUW_1645 and ABUW_2818 were in the ON state (Fig. 2). In this AV-T.T6 variant, introduction of individual T26 insertions in ABUW_1645 or ABUW_2818 did not result in a conversion to the VIR-O state. This result verified that although both TTTRs were ON, each was capable of independently maintaining cells in the translucent state, further demonstrating the functional redundancy of these TTTRs. Taken together, these data demonstrate that at least four distinct translucent subvariants can be generated by the combinatorial activation of three TTTRs.
TTTR expression profiles in translucent variants are reset after passage through the VIR-O state
In AV-T.T1, the 1645::T26 mutation converted cells back to the VIR-O state (Fig. 2, Fig. S3A). However, these VIR-O colonies now formed translucent sectors, indicating they were capable of switching back to the translucent state despite the fact that ABUW_1645 had initially driven cells to the translucent state in the parent strain, and now was no longer functional (Fig. S3A). A similar result was observed in AV-T.T3, where the 1959::T26 mutation converted cells back to the VIR-O state, but these VIR-O cells were also capable of switching to the translucent state (Fig. S3C). This suggested that cells in the new VIR-O state no longer relied on the previous set of TTTRs and now activated one or more new TTTRs to switch to the translucent state.
To confirm whether a new TTTR was activated to drive cells from the VIR-O to translucent state, the TTTR expression profiles in two independent translucent colonies derived from AV-T.T1 1645::T26 (opaque) were measured by qRT-PCR. In the first AV-T variant, ABUW_2818 was now activated 39-fold (Fig. S4A). In the second AV-T variant, a new TTTR regulator ABUW_3353 was activated 34-fold (Fig. S4B). Interestingly, ABUW_3353 was previously identified based on its similarity to ABUW_1645 in the HTH region and its overexpression drove VIR-O cells to the AV-T state (Table 1).
Next, the TTTR expression profiles in two independent translucent colonies derived from AV-T.T3 1959::T26 (opaque) were measured. In the first translucent variant, ABUW_1645 was activated 189-fold (Fig. S4C). In the second translucent variant, both ABUW_1645 and ABUW_2818 were now activated, 130-fold and 29-fold, respectively (Fig. S4D).
Role of ABUW_1645,ABUW_1959, and ABUW_2818 in switching between the VIR-O and translucent states
The above data demonstrated that the TTTRs ABUW_1645, ABUW_1959, and ABUW_2818 were functionally redundant in their ability to drive VIR-O cells to the translucent state. To investigate their role in switching, individual null alleles were constructed in the ABUW_1959 and ABUW_2818 genes. However, neither mutation alone altered VIR-O to translucent switching frequencies (Fig. 3A), which were similar to that previously reported for an ABUW_1645 deletion (22). To determine if all three genes were required for the VIR-O to translucent switch, VIR-O.3KO was constructed with null alleles in ABUW_1645/1959/2818. Surprisingly, this triple mutant only exhibited a 2.8-fold decrease in VIR-O to translucent switching compared to wild-type cells (Fig. 3B).
In a triple mutant of ABUW_1645,ABUW_1959, and ABUW_2818, a new TTTR, ABUW_3353, is activated to drive the VIR-O to translucent switch
The VIR-O triple mutant strain, with null alleles in ABUW_1645,ABUW_1959, and ABUW_2818, was still capable of switching to the translucent state, albeit at slightly lower rates. We hypothesized that one or more of the eight other functionally redundant TTTRs described in Table 1 could be activated in VIR-O cells of this triple mutant to drive cells to the translucent state. Six independent translucent variants were isolated from the VIR-O triple mutant and the expression profile for all the TTTRs in Table 1 was determined by qRT-PCR. A single TTTR gene, ABUW_3353, was in the ON state in all six translucent variants relative to the VIR-O triple mutant parent cells, and three representative strains are shown in Fig. S5A. To determine whether expression of ABUW_3353 was required to keep cells in the translucent state, an ABUW_3353::T26 insertion was moved into two of the newly isolated translucent variants. In each case, the loss of ABUW_3353 reverted cells back to the VIR-O phenotype and cells regained the ability to secrete 3-OH-C12-HSL. A representative example is shown in Fig. S5B and C.
Since ABUW_3353 was the only TTTR activated in the cells of ABUW_1645/1959/2818 triple mutant that had switched to the translucent state, it was predicted that loss of ABUW_3353 in this background would severely impact the rate of VIR-O to translucent switching. Indeed, this quadruple ABUW_1645/1959/2818/3353 mutant (VIR-O.4KO) exhibited levels of VIR-O to translucent switching that were decreased 1,270-fold compared to wild-type and 453-fold reduced compared to the ABUW_1645/1959/2818 triple mutant (Fig. 3B). Introduction of ABUW_3353 back into the quadruple mutant restored the levels of switching (Fig. 3B). Therefore, due to their functional redundancy, inactivation of all four TTTRs was required to observe a loss in switching from the VIR-O to translucent states.
Quantitative profiling of TTTRs in the ON state in translucent variants
Experiments to this point indicated that the stochastic activation of genes encoding four TTTRs, ABUW_1645, 1959,2818, and 3353, in various combinations was key to the activation of the switch from VIR-O to translucent states. To obtain a more quantitative expression “snapshot” of these TTTRs in independent translucent variants that had switched from the VIR-O state, transcriptional lacZ fusions were constructed to each TTTR promoter region. These fusions accurately reported the VIR-O and translucent states, as β-galactosidase expression was upregulated 17.5-fold (ABUW_1645), 26.0-fold (ABUW_1959), and 26.8-fold (ABUW_2818) in our lab stock AV-T.LS cells, where each TTTR was in the ON state relative to VIR-O cells (Fig. 4A). An ABUW_3353-lacZ fusion was also created for this analysis, but it should be noted that ABUW_3353 is in the OFF state in AV-T.LS cells (Fig. 2).
A pool of approximately 150 independent translucent variants that had switched from VIR-O cells was prepared and transformed with the above-mentioned transcriptional lacZ fusions. When this translucent variant pool was transformed with the ABUW_1645-lacZ fusion, expression was in the ON state in 94% of colonies based on blue color on X-gal plates (Fig. 4B). For the ABUW_2818-lacZ, ABUW_1959-lacZ, and ABUW_3353-lacZ fusions, expression was in the ON state for 89%, 20%, and 18%, respectively, in the pool of translucent variants (Fig. 4B). We also examined the frequency of each TTTR in the ON state in a separate A. baumannii strain (AB0057) using a pool of over 100 independent translucent variants. Using the above lacZ fusions, ABUW_1645 was in the ON state in 81% of cells, ABUW_2818 was ON in 23% of cells, ABUW_1959 was ON in 4% of cells, and ABUW_3353 was ON in 13% of cells (Fig. 4B).
Expression of ABUW_1645, ABUW_1959, and ABUW_2818 in VIR-O subpopulations
To determine if the ABUW_1645, ABUW_1959, and ABUW_2818 genes were expressed in a subpopulation of VIR-O cells, a single strain with three single-copy, transcriptional fusions to fluorescent reporters was constructed, ABUW_1645 to green fluorescent protein (1645-GFP), ABUW_2818 to a codon optimized mCherry (2818-mCherry), and ABUW_1959 to blue fluorescent protein (ABUW_1959-mTAG BFP2). This strain was designated VIR-O.TF. Each fusion was placed immediately after the coding region at the native site in the chromosome, thus retaining the activity of each TTTR. Cells taken from a VIR-O.TF colony at 12 hours of growth were imaged by fluorescence microscopy, and in each case, a small subpopulation of cells exhibited expression of each TTTR fused to different fluorescent reporters (Fig. 4C). Cells expressing each fusion were originally in the OFF state in VIR-O.TF cells, as indicated by analyzing expression in microcolonies growing on an agar pad (Fig. S6). As the same microcolony reached a critical density, each fusion was then expressed in a subpopulation of cells (Fig. S6).
The frequency of ABUW_1645-GFP or ABUW_2818-mCherry expression was determined in 100 independent translucent variants. For ABUW_1645-GFP, 98% of translucent cells were in the ON state and 85% of cells had ABUW_2818-mCherry in the ON state (Fig. 4B). Both are in good agreement with data obtained with the lacZ fusions (Fig. 4B). In addition, 83% of cells co-expressed ABUW_1645-GFP and ABUW_2818-mCherry. We were unable to accurately measure BFP expression in a high-throughput manner due to the high levels of background fluorescence exhibited by LB media.
Regulatory interactions among the TTTRs
The primary TTTRs driving the switch from VIR-O to the translucent variant were ABUW_1645, ABUW_2818, ABUW_1959, and ABUW_3353, as indicated by the near complete loss of switching in the quadruple mutant (Fig. 3). To determine if regulatory interactions existed between these four main TTTRs, we measured expression of all TTTRs in Table 1 by qRT-PCR in backgrounds where (i) each of the four main TTTRs was overexpressed using the pWH1266 constructs (Fig. S7) or (ii) each of the four main TTTRs was disrupted by a T26 insertion (Fig. S8). In general, overexpression of ABUW_1645, 1959, 2818, or 3353 did not alter the expression of the other TTTRs more than 3-fold in a statistically significant manner based on qRT-PCR analysis, with the exception of ABUW_3194 when ABUW_2818 was overexpressed. (Fig. S7). Likewise, individual mutations in ABUW_1645, ABUW_1959, ABUW_2818, or ABUW_3353 did not alter expression of the other 10 TTTRs more than 2-fold in a statistically significant manner, with the exception of ABUW_1912 in the ABUW_2818::T26 mutant (Fig. S8).
TTTRs often autoregulate, so the possibility of autoregulation among ABUW_1645, ABUW_1959, and ABUW_2818 was also examined by qRT-PCR. These experiments were conducted by probing the region between the predicted promoter and the ORF for ABUW_1645, ABUW_1959, and ABUW_2818 while overexpressing the same TTTR in the pWH1266 construct. The primers targeted the region between the transcriptional start site, as identified by RNA sequencing mapping, and the coding region cloned in pWH1266, so that only expression of the chromosomal gene was measured. This analysis did not reveal autoregulation among the TTTRs.
Expression levels of a small RNA encoded within p1AB5075 dictates the switching frequency from the VIR-O to translucent state and the pattern of TTTR activation
Previous work demonstrated that the switching frequency from VIR-O to the translucent state was positively influenced by a small RNA (sRNA) encoded within an untranslated leader region of the aadB gene present in a large plasmid p1AB5075 (29). This small RNA was initially localized to a region of approximately 300 bp, and the sRNA arose by processing or termination of the aadB transcript (29). To further localize this sRNA, reads from RNA-sequencing were mapped to this region and the endpoints of these reads were determined. Analysis of these endpoints revealed distinct regions where the frequency of ends was much greater, and all were within a small 66 bp region that was required for stimulating VIR-O to translucent switching (Fig. S9). To further investigate which endpoint was required for activity, 3’ deletions were constructed at each endpoint and fused to a strong transcriptional terminator to generate discrete sRNA species. The largest fragment pWHaadB del-5 extended just past the putative processing or termination site. Analysis of the switching frequency from VIR-O to the translucent variant in cells containing pWHaadB del-5 indicated the frequency was 70.5% ± 5.8%, representing a 19.5-fold increase relative to cells containing the vector only (3.6% ± 2.8%) (Fig. S9). This indicated that this fragment was fully functional and comparable to a larger full-length fragment that was previously characterized (Fig. S9) (29). It should be noted that these assays were done in colonies at 20 hours of growth instead of the typical 24 hours to better demonstrate the earlier increase in switching. In contrast, pWHaadB del-4, a construct that was 33 nucleotides shorter only increased the rate of switching 2.5-fold over cells with the vector only (4.9% ± 2.3% vs. 2.0% ± 0.7%). Therefore, the sRNA encoded in pWHaadB del-5 was required for full activity and was used in subsequent experiments. This sRNA was designated SrvS (sRNA regulator of virulence switching).
Since pWHaadB del-5 with SrvS overexpressed increased the rate of switching from VIR-O to the translucent state 19.5-fold, we hypothesized that SrvS acted to increase expression of one or more of the primary TTTRs (ABUW_1645, 1959,2818, and 3353) that were activated during the switch (Fig. 4B). Consistent with this, pWHaadB del-5 was unable to activate VIR-O to translucent switching in a strain with quadruple mutations in the four TTTRs (ABUW_1645, 1959,2818, and 3353), that together are required for switching from the VIR-O to the translucent state. The average switching frequency of six independent colonies of the quadruple mutant containing pWHaadB del-5 was 0.038% ± 0.05%, a rate similar to the quadruple mutant containing the pWH1266 vector 0.039% ± 0.04%. Second, when pWHaadB-del-5 was introduced into AV-T.LS cells, the rate of switching to the VIR-O variant was reduced 302-fold relative to cells with vector only, 0.023% ± 0.009% vs. 7.0% ± 1.8%. This phenotype is consistent with SrvS increasing or maintaining TTTR expression in AV-T.LS cells.
We next tested whether SrvS expression influenced either the overall TTTR expression levels in VIR-O cells, or the frequency by which each TTTR was expressed within individual VIR-O cells. For this analysis, fluorescence microscopy was used with the VIR-O.TF strain that contained individual reporters transcriptionally fused to ABUW_1645,ABUW_2818, and ABUW_1959 (Fig. 4C). Because this triple reporter strain was already resistant to hygromycin, apramycin, and tetracycline, a plasmid-based SrvS overexpression construct could not be used. Increased SrvS expression in this strain was provided by selecting for amplification of the SrvS region in p1AB5075 using tobramycin selection as previously described (29). This strain was designated VIR-O.TF-HR and resulted in a 15-fold increase in SrvS expression. Cells taken from colonies at 9 hours of growth were imaged for ABUW_1645-GFP,ABUW_2818-mCherry, and ABUW_1959-mTAG BFP2 expression and the fluorescence intensity of at least 5,000 individual cells was determined for each strain. SrvS overexpression resulted in a 30% increase in the average fluorescence levels of 1645-GFP and a 90% increase for 2818-mCherry (Fig. 5A). The average expression of 1959-BFP was similar in the wild-type and the SrvS overexpressing strain. However, for all fusions, SrvS overexpression increased the number of “bright” cells (top 2% of fluorescence) (Fig. 5B).
The above experiment could not distinguish if SrvS overexpressing cells with higher levels of TTTR expression were now in the translucent state. Therefore, to determine if SrvS influenced the TTTR ON state in stable translucent cells, a pool of approximately 200 independent translucent variants were isolated from VIR-O cells overexpressing SrvS via an amplification of this region, strain hetR-O2 (30). In this translucent pool, the frequency of TTTRs in the ON state was determined using plasmid-based lacZ fusions to the promoter regions of each TTTR. Previously, the percentage of wild-type translucent cells with each TTTR gene in the ON state was shown as 94% (ABUW_1645), 89% (ABUW_2818), 20% (ABUW_1959), and 18% (ABUW_3353) (Fig. 4B). However, in cells overexpressing SrvS, the frequency of translucent cells with TTTRs in the ON state was increased from 94% to 98% for ABUW_1645 (Fig. 4B), from 20% to 85% for ABUW_1959 and from 18% to 67% for ABUW_3353. The frequency for ABUW_2818 remained at similar levels. Taken together, these data indicate that SrvS can activate the VIR-O to translucent switch in a subpopulation of cells by increasing the frequency of cells expressing ABUW_1645,ABUW_1959,ABUW_2818, and ABUW_3353.
Phenotypic switching generates unique translucent subpopulations
The translucent variants AV-T.LS, AV-T.T1, AV-T.T3, and AV-T.T6 each exhibited different TTTR expression profiles (Fig. 2), and each TTTR regulated a different subset of genes (Table S1). Therefore, it was hypothesized that these translucent subvariants would be phenotypically distinct. To address this possibility, six phenotypes were investigated: (i) the ability to switch back to the virulent VIR-O state, (ii) the ability to form biofilms, as previously the AV-T.LS subvariant was shown to form much better biofilms than the VIR-O variant (22), (iii) the ability to take up DNA by natural transformation, (iv) secretion of the quorum sensing signal 3-OH-C12-HSL, (v) surface-associated motility, and (vi) virulence. In Fig. 6A, marked differences were observed when the frequency of translucent to opaque switching was examined for each variant: AV-T.LS (3.0% ± 1.3%), AV-T.T1 (13.3% ± 3.8%), AV-T.T3 (32.3% ± 8.9%), and AV-T.T6 (3.8% ± 1.1%). The AV-T.T3 variant with only ABUW_1959 expressed was particularly unstable and exhibited a 10.8-fold increase in switching back to the opaque state relative to AV-T.LS where three TTTRs were expressed. Biofilm formation was also significantly different among the translucent subpopulations (Fig. 6B). These assays were done at 25°C to better reflect environmental conditions outside the host, where translucent variants may have a survival advantage (22). AV-T.T6 exhibited the highest amount of biofilm and AV-T.T3 formed significantly less biofilm than the other translucent variants (Fig. 6B). The ability to acquire DNA by transformation showed that AV-T.T3 exhibited an approximately 7-fold higher rate than AV-T.T1 or AV-T.T6 and a 4-fold higher rate than AV-T.LS (Fig. 6C). Secretion of the quorum sensing signal 3-OH-C12-HSL varied among the translucent subpopulations with AV-T.T1 secreting less signal and AV-T.T3 secreting more signal than AV-T.LS or AV-T.T6 (Fig. 6D). Surface motility was reduced by approximately 40% in AV-T.T3 relative to the other variants, which all showed a similar level of motility (Fig. 6E). Lastly, the virulence of each translucent subvariant was examined in the G. mellonella larvae model. The AV-T.LS, AV-T.T1 and AV-T.T6 subvariants were all attenuated relative to the VIR-O variant (Fig. 6F). However, AV-T.T3 remained virulent and was similar to the VIR-O variant. The increased virulence of AV-T.T3 compared to AV-T.T1 and AV-T.T6 was also confirmed in a mouse lung infection model (Fig. S10).
Discussion
This study has demonstrated that the mechanism for VIR-O to translucent switching is far more complex than previously realized, and a model summarizing our work is presented in Fig. 7. Previously, all translucent variants arising from VIR-O cells were assumed to be phenotypically identical and avirulent based on studies with our lab stock AV-T.LS (22). However, this work has demonstrated that translucent variants represent phenotypically distinct subpopulations. The majority of these translucent subvariants are predicted to be avirulent, as ABUW_1645 expression alone or in combination with other TTTRs correlated with loss of virulence (Figs. 1D and 6F and Fig. S10), and ABUW_1645 is activated in 94% to 98% of translucent variants (Fig. 4B). However, the translucent variant AV-T.T3 was virulent and we now propose designating this strain as VIR-T.T3 (virulent translucent) going forward.
A remarkable feature of the phenotypic switch identified in this study is that cells in the VIR-O state activate different combinations of TTTRs to switch to the translucent state (Figs. 2 and 7). This also explains why mutations in an individual TTTR, or even multiple TTTRs (i.e. ABUW_1645/1959/2818) did not significantly decrease the rate of VIR-O to translucent switching (Fig. 3A and B), as cells can simply activate a new TTTR regulator to switch. Only when four specific TTTRs regulators were inactivated (ABUW_1645/1959/2818/3353) did the VIR-O to translucent switching frequency decrease significantly, greater than 1,200-fold (Fig. 3B). It is important to note that during our investigation, we made other combinations of mutations in the TTTR genes shown to drive the VIR-O to translucent switch when overexpressed (Table 1). For example, a quadruple 1645/1959/2818/2596 mutant and even a sextuple 1645/1959/2818/2596/1498/3194 mutant only decreased the rate of VIR-O to AV-T switching by approximately 10-fold. This emphasizes the importance of ABUW_3353 activation for VIR-O to translucent switching when ABUW_1645,1959 and 2818 are nonfunctional. To our knowledge, the stochastic activation of distinct members of the same family of transcriptional regulators to generate phenotypic heterogeneity has not previously been described in other bacteria.
The small RNA SrvS greatly increased the rate of VIR-O to translucent switching and this likely occurred by increasing the overall percentage of cells with a TTTR in the ON state (Figs. 4B and 5). Since each fluorescent reporter was transcriptionally fused to a TTTR, this suggests that SrvS acted directly or indirectly to increase the mRNA levels of each TTTR gene. If directly, this may occur by SrvS either increasing TTTR mRNA stability by binding and blocking the activity of ribonucleases or by decreasing Rho-dependent transcriptional termination (31–33). Since each TTTR is activated at different frequencies, SrvS may interact with the mRNAs of each TTTR gene with different affinities.
All A. baumannii strains we have tested, except ATCC17978, are capable of VIR-O to translucent switching, although the rates of switching can vary widely (21). Currently, 376 A. baumannii genomes contain the srvS gene, either chromosomally or plasmid encoded. We hypothesize that strains with low frequencies of switching (∼1/1,000) do not contain SrvS. Interestingly, in 4/4 strains examined with low frequencies of VIR-O to translucent switching, overexpression of SrvS increased the rate of switching at least 100-fold. In addition, in strains naturally containing SrvS, a deletion of this gene resulted in a 1,000-fold reduction in switching (29). This indicated that A. baumannii strains are “prewired” to switch at high frequency upon acquisition of SrvS, and may do so in the absence of SrvS under certain conditions.
Why would the switching frequency from VIR-O to the translucent state be coupled to the presence and expression of the SrvS sRNA? The srvS gene is encoded on p1AB5075 within a highly amplifiable region containing resistance genes to streptomycin, kanamycin, gentamicin, and tobramycin, all of which are all flanked by direct repeats of an integrase gene (29, 30, 34). In a soil environment, A. baumannii is likely exposed to aminoglycosides produced by endogenous bacteria. Subpopulations of VIR-O cells that amplify this region would exhibit an increase in both aminoglycoside resistance and in switching to the translucent variants, which we have previously hypothesized is better suited for environmental survival outside a host. Therefore, A. baumannii may have co-opted this amplification to sense when it is in a soil environment and trigger the SrvS-dependent switch to the translucent variants.
Lastly, this work reveals an important biological function for the VIR-O to translucent switch, as it generates distinct translucent subpopulations, each with unique phenotypic properties that likely confer survival advantages in various environments (Fig. 6). For example, AV-T.T3 switches to the VIR-O state at markedly higher frequencies than the other AV-T subvariants, which could make it better poised to initiate an infection when encountering a human host. Interestingly, AV-T.T3 also formed less biofilm than the other isolates, which could reflect an increased planktonic state in the environment to facilitate passage to humans. The AV-T.T6 subvariant formed the most biofilm, a factor that may facilitate long-term environmental survival. DNA transformation efficiency was highest with AV-T.T3, lowest with AV-T.T1 and AV-T.T6, and at intermediate levels with AV-T.LS. Since ABUW_1645 repressed genes for Type-IV pili synthesis required for DNA uptake and ABUW_1959 and ABUW_2818 both activated these genes (Table S1), it is not surprising that AV.T.T1 with only ABUW_1645 expressed had the lowest transformation rate and AV-T.T3 with only ABUW_1959 expressed had the highest transformation rate. Therefore, AV-T.T3 is predicted to be more versatile in acquiring new genes that increase antibiotic resistance, virulence, and possibly metabolic capabilities. Importantly, AV-T.T3 remained virulent despite having a translucent phenotype, while the other translucent subvariants were avirulent (Fig. 6F). This further supports data from Fig. 1 indicating that a small minority of translucent subvariants can remain virulent when only ABUW_1959 is in the ON state. Additional phenotypic differences among the translucent subvariants are under investigation to determine the overall biological significance of this bet-hedging strategy.
Materials and methods
All bacterial strains used in this study are listed in Table S2. All plasmids used in this study are listed in Table S3. Oligonucleotide primers used for cloning and qRT-PCR are listed in Table S4. Detailed methods for all experiments are found in Supplementary Materials and methods.
Supplementary Material
ACKNOWLEDGEMENTS
We thank Dr. Jennifer Colquhoun for help in mapping the transcriptional start sites of each tetR gene.
Notes
Competing Interest: The authors declare no competing interest.
Contributor Information
María Pérez-Varela, Department of Microbiology and Immunology, Emory University, Atlanta, GA 30322, USA.
Aimee R P Tierney, Department of Microbiology and Immunology, Emory University, Atlanta, GA 30322, USA.
Emma Dawson, Department of Physics, Emory University, Atlanta, GA 30322, USA.
Anna R Hutcheson, Research Service, Atlanta VA Medical Center, Decatur, GA 30033, USA.
Kyle A Tipton, Department of Microbiology and Immunology, Emory University, Atlanta, GA 30322, USA.
Sarah E Anderson, Department of Microbiology and Immunology, Emory University, Atlanta, GA 30322, USA; Research Service, Atlanta VA Medical Center, Decatur, GA 30033, USA.
Marina E Haldopoulos, Emory Antibiotic Resistance Center, Emory University, Atlanta, GA 30322, USA; Emory Vaccine Center, Emory University, Atlanta, GA 30322, USA; Department of Medicine, Division of Infectious Diseases, Emory University School of Medicine, Atlanta, GA 30322, USA.
Shaina Song, Research Service, Atlanta VA Medical Center, Decatur, GA 30033, USA.
Brooke R Tomlinson, Department of Cell Biology, Microbiology and Molecular Biology, University of South Florida, Tampa, FL 33620, USA.
Lindsey N Shaw, Department of Cell Biology, Microbiology and Molecular Biology, University of South Florida, Tampa, FL 33620, USA.
David S Weiss, Research Service, Atlanta VA Medical Center, Decatur, GA 30033, USA; Emory Antibiotic Resistance Center, Emory University, Atlanta, GA 30322, USA; Emory Vaccine Center, Emory University, Atlanta, GA 30322, USA; Department of Medicine, Division of Infectious Diseases, Emory University School of Medicine, Atlanta, GA 30322, USA.
Minsu Kim, Department of Physics, Emory University, Atlanta, GA 30322, USA; Emory Antibiotic Resistance Center, Emory University, Atlanta, GA 30322, USA.
Philip N Rather, Department of Microbiology and Immunology, Emory University, Atlanta, GA 30322, USA; Research Service, Atlanta VA Medical Center, Decatur, GA 30033, USA; Emory Antibiotic Resistance Center, Emory University, Atlanta, GA 30322, USA.
Funding
P.N.R. is supported by the NIH awards R01 AI72219 and R21 AI115183 and Department of Veterans Affairs awards I01 BX001725 and IK6 BX004470. M.P.-V. and E.D. were supported by MP3 Initiative (00097584) from Emory University. A.R.P.T. and S.E.A. were supported by NIH T32 award AI106699. D.S.W. is supported by a Department of Veterans Affairs award BX002788 and a Burroughs Wellcome Fund Investigators in the Pathogenesis of Infectious Disease award. D.S.W., P.N.R., and M.K. are all supported by NIH award U19 AI158080. L.N.S. was supported by R01 AI157506 and R01 AI124458.
Authors' Contributions
M. P.-V. and A.R.P.T.: designed research; performed research; analyzed data; and wrote the paper. E.D.: performed research; and analyzed data. A.H.: performed research. K.T.: designed research; performed research; and analyzed data. S.A.: designed research; performed research; analyzed data; and wrote the paper. M.H.: performed research; and analyzed data. S.S.: performed research. B.T.: designed research; performed research; and analyzed data. L.S.: analyzed data. D.W.: designed research; and analyzed data. M.K.: designed research; performed research; analyzed data; and wrote the paper. P.N.R designed research; performed research; analyzed data and wrote the paper
Data Availability
All data are included in the manuscript and/or Supplementary Material.
References
- 1. Bergogne-Berezin E, Towner KJ. 1996. Acinetobacter spp. as nosocomial pathogens: microbiological, clinical, and epidemiological features. Clin Microbiol Rev. 9:148–165. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Gootz TD, Marra A. 2008. Acinetobacter baumannii: an emerging multidrug-resistant threat. Expert Rev Anti Infect Ther. 6:309–325. [DOI] [PubMed] [Google Scholar]
- 3. Peleg AY, Seifert H, Paterson DL. 2008. Acinetobacter baumannii: emergence of a successful pathogen. Clin Microbiol Rev. 21:538–582. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Joly-Guillou ML. 2005. Clinical impact and pathogenicity of Acinetobacter. Clin Microbiol Infect. 11:868–873. [DOI] [PubMed] [Google Scholar]
- 5. Wong D, et al. 2017. Clinical and pathophysiological overview of Acinetobacter infections: a century of challenges. Clin Microbiol Rev. 30:409–447. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Clancy CJ, Schwartz IS, Kula B, Nguyen MH. 2021. Bacterial superinfections among persons with coronavirus disease 2019: a comprehensive review of data from postmortem studies. Open Forum Infect Dis. 8:ofab065. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Li J, et al. 2020. Etiology and antimicrobial resistance of secondary bacterial infections in patients hospitalized with COVID-19 in Wuhan, China: a retrospective analysis. Antimicrob Resist Infect Control. 9:153. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Avery SV. 2006. Microbial cell individuality and the underlying sources of heterogeneity. Nat Rev Microbiol. 4:577–587. [DOI] [PubMed] [Google Scholar]
- 9. Ackermann M. 2015. A functional perspective on phenotypic heterogeneity in microorganisms. Nat Rev Microbiol. 13:497–508. [DOI] [PubMed] [Google Scholar]
- 10. Schröter L, Dersch P. 2019. Phenotypic diversification of microbial pathogens-cooperating and preparing for the future. J Mol Biol. 431:4645–4655. [DOI] [PubMed] [Google Scholar]
- 11. Martins BM, Locke JC. 2015. Microbial individuality: how single-cell heterogeneity enables population level strategies. Curr Opin Microbiol. 24:104–112. [DOI] [PubMed] [Google Scholar]
- 12. Dubnau D, Losick R. 2006. Bistability in bacteria. Mol Microbiol. 61:564–572. [DOI] [PubMed] [Google Scholar]
- 13. Veening JW, Smits WK, Kuipers OP. 2008. Bistability, epigenetics, and bet-hedging in bacteria. Annu Rev Microbiol. 62:193–210. [DOI] [PubMed] [Google Scholar]
- 14. Turner KH, Vallet-Gely I, Dove SL. 2009. Epigenetic control of virulence gene expression in Pseudomonas aeruginosa by a LysR-type transcription regulator. PLoS Genet. 5:e1000779. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. MacKenzie KD, et al. 2015. Bistable expression of CsgD in Salmonella enterica serovar Typhimurium connects virulence to persistence. Infect Immun. 83:2312–2326. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Nielsen AT, et al. 2010. A bistable switch and anatomical site control Vibrio cholerae virulence gene expression in the intestine. PLoS Pathog. 6:e1001102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Nuss AM, et al. 2016. A precise temperature-responsive bistable switch controlling Yersinia virulence. PLoS Pathog. 12:e1006091. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Ronin I, Katsowich N, Rosenshine I, Balaban NQ. 2017. A long-term epigenetic memory switch controls bacterial virulence bimodality. Elife. 6:e19599. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Davis KM, Mohammadi S, Isberg RR. 2015. Community behavior and spatial regulation within a bacterial microcolony in deep tissue sites serves to protect against host attack. Cell Host Microbe. 17:21–31. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Trzilova D, Anjuwon-Foster BR, Rivera DT, Tamayo R. 2020. Rho factor mediates flagellum and toxin phase variation and impacts virulence in Clostridioides difficile. PLoS Pathog. 16:e1008708. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Tipton KA, Dimitrova D, Rather PN. 2015. Phase-variable control of multiple phenotypes in Acinetobacter baumannii strain AB5075. J Bacteriol. 197:2593–2599. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Chin CY, et al. 2018. A high-frequency phenotypic switch links bacterial virulence and environmental survival in Acinetobacter baumannii. Nat Microbiol. 3:563–569. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Ahmad I, Karah N, Nadeem A, Wai SN, Uhlin BE. 2019. Analysis of colony phase variation switch in Acinetobacter baumannii clinical isolates. PLoS One. 14:e0210082. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. Casella LG, Weiss A, Pérez-Rueda E, Ibarra JA, Shaw LN. 2017. Towards the complete proteinaceous regulome of Acinetobacter baumannii. Microb Genom. 3:mgen000107. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. Cuthbertson L, Nodwell JR. 2013. The TetR family of regulators. Microbiol Mol Biol Rev. 77:440–475. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Gebhardt MJ, et al. 2015. Joint transcriptional control of virulence and resistance to antibiotic and environmental stress in Acinetobacter baumannii. mBio. 6:e01660–e01615. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Tipton KA, Farokhyfar M, Rather PN. 2017. Multiple roles for a novel RND-type efflux system in Acinetobacter baumannii AB5075. Microbiologyopen. 6:e00418. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Vesel N, Blokesch M. 2021. Pilus production in Acinetobacter baumannii is growth phase dependent and essential for natural transformation. J Bacteriol. 203:e00034–21. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. Anderson SE, Chin CY, Weiss DS, Rather PN. 2020. Copy number of an integron-encoded antibiotic resistance locus regulates a virulence and opacity switch in Acinetobacter baumannii AB5075. mBio. 11:e02338–20. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Anderson SE, Sherman EX, Weiss DS, Rather PN. 2018. Aminoglycoside heteroresistance in Acinetobacter baumannii AB5075. mSphere. 3:e00271–18. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Kavita K, de Mets F, Gottesman S. 2018. New aspects of RNA-based regulation by Hfq and its partner sRNAs. Curr Opin Microbiol. 42: 53–61. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. Sedlyarova N, et al. 2016. . sRNA-mediated control of transcription termination in E. coli. Cell. 167: 111–121.e13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Chen J, Morita T, Gottesman S. 2019. Regulation of transcription termination of small RNAs and by small RNAs: molecular mechanisms and biological functions. Front Cell Infect Microbiol. 9: 201. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34. Shaw KJ, Rather PN, Hare RS, Miller GH. 1993. Molecular genetics of aminoglycoside resistance genes and familial relationships of the aminoglycoside-modifying enzymes. Microbiol Rev. 57: 138–163. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
All data are included in the manuscript and/or Supplementary Material.