Salmonella enterica serovar Typhimurium BaeSR two-component system positively regulates sodA in response to ciprofloxacin

In response to antibiotics, bacteria activate regulatory systems that control the expression of genes that participate in detoxifying these compounds, like multidrug efflux systems. We previously demonstrated that the BaeSR two-component system from Salmonella enterica serovar Typhimurium (S. Typhimurium) participates in the detection of ciprofloxacin, a bactericidal antibiotic, and in the positive regulation of mdtA, an efflux pump implicated in antibiotic resistance. In the present work, we provide further evidence for a role of the S. Typhimurium BaeSR two-component system in response to ciprofloxacin treatment and show that it regulates sodA expression. We demonstrate that, in the absence of BaeSR, the transcript levels of sodA and the activity of its gene product are lower. Using electrophoretic mobility shift assays and transcriptional fusions, we demonstrate that BaeR regulates sodA by a direct interaction with the promoter region.


INTRODUCTION
Current antimicrobial therapies, which cover a wide array of targets, fall into two general categories: bactericidal drugs, which kill bacteria with an efficiency of .99.9 %, and bacteriostatic drugs, which inhibit growth (Pankey & Sabath, 2004). Antibacterial drug target interactions are well studied and fall into three classes: inhibition of DNA replication and repair, inhibition of protein synthesis, and inhibition of cell-wall turnover (Walsh, 2000).
In the search for new antibiotic targets, two-component systems (TCSs) have emerged as extremely attractive ones. In prokaryotes, TCSs transduce and detect signals such as pH, temperature, osmolarity, light, nutrients, ions and toxins, regulating a wide range of processes including motility, virulence, metabolism, developmental switches, antibiotic resistance and stress responses (Batchelor & Goulian, 2003;Cai & Inouye, 2002;Stock et al., 2000). TCSs are widespread in bacteria and, so far as is known, absent in mammals (Stock et al., 2000); therefore, they could be used as targets for antibiotics. Perhaps one of the most compelling reasons to target TCSs is that they are used by pathogenic bacteria to control the expression of virulence factors, which are required for a successful infective cycle (Stock et al., 2000).
In Escherichia coli, BaeSR were first described as putative members of a TCS (Nagasawa et al., 1993) involved in drug resistance by regulating the expression of genes that encode drug transporters (Baranova & Nikaido, 2002;Nagakubo et al., 2002), and participating in the response to envelope stress (Leblanc et al., 2011). Supporting a role for BaeSR in drug resistance, overexpression of BaeR significantly increases the resistance of an E. coli acrAB mutant to novobiocin and deoxycholate, by upregulating a multiple drug transport system encoded by the mdtABCD operon (Baranova & Nikaido, 2002;Nagakubo et al., 2002;Nishino et al., 2007). In Salmonella enterica serovar Typhimurium (S. Typhimurium), a BaeR mutant is fourfold more sensitive to ceftriaxone (Hu et al., 2005), and the BaeSR TCS responds to the fluoroquinolone ciprofloxacin (CIP) (Guerrero et al., 2012), which contributes to bacterial cell death by inhibiting DNA gyrase (Cambau & Gutmann, 1993). Fluoroquinolones have been successfully used to treat salmonellosis, are commonly the first choice for treatment, and have also proven useful for the treatment of infections caused by multiple antibiotic-resistant strains (Piddock, 2002).
Understanding the mechanisms by which antibiotics act is very important to improve current therapies. For several years, a model for antibiotic killing that was independent of their mode of action was well accepted (Kohanski et al., 2007). The mechanism involved formation of reactive oxygen species (ROS) due to antibiotic exposure, as a result of hyperactivation of the electron transport chain, which in turned killed bacteria. However, recent studies in E. coli have challenged this model and shown that antibiotic treatment does not accelerate hydrogen peroxide generation or elevate the levels of free intracellular iron, an essential reactant for the production of ROS-induced damage (Liu & Imlay, 2013;Keren et al., 2013).
Despite the recent findings that antibiotics kill through a ROS-independent mechanism (Liu & Imlay, 2013;Keren et al., 2013), studies in E. coli show that the expression of genes that code the superoxide dismutases (SODs) SodA and SodB are induced by ofloxacin (Kaldalu et al., 2004) and SodA by CIP (Smirnova et al., 2012). In the present study, we investigated the role of the BaeSR TCS in the regulation of sodA and sodB in response to CIP. First, we show that in a DbaeSR strain there is a decrease in total SOD activity, specifically in that of SodA. This decrease in activity correlated with lower transcript levels of sodA in the baeSR mutant strain, as measured by real-time RT-PCR (qRT-PCR) and using transcriptional fusions. Bioinformatic analysis predicted the presence of two BaeR-binding sites (BBSs) at the sodA promoter region. Using electrophoretic mobility shift assays (EMSAs), transcriptional fusions, and mutation of the sodA promoter region, we show that BaeR exerts its regulation by direct interaction with one of the predicted sites. Interestingly, the binding site required for the positive regulation of sodA in response to CIP is not required for the regulation in response to menadione (MEN), suggesting different mechanisms of regulation.

METHODS
Bacterial strains and growth conditions. Salmonella strains used in this study are listed in Table 1. Bacteria were grown routinely at 37 uC in Luria-Bertani broth (LB) with shaking. When required, LB was supplemented with ampicillin (Amp, 100 mg l 21 ). Solid media included 15 g agar l 21 . When necessary, growth medium was treated with CIP (0.91 mM) or MEN (50 mM).
Determination of SOD activity. Ten millilitres of bacterial cultures grown to OD 600~0 .4 were exposed to CIP or MEN for 10 min. SOD activity was assessed by measuring the inhibition of the photochemical reduction of nitro blue tretrazolium (NBT) from crude extracts as described elsewhere (Jakubowski et al., 2000). The reaction mixture (1 ml) contained 50 mM potassium phosphate buffer (pH 8.5), 0.1 mM EDTA, 0.02 mM riboflavin, 13 mM methionine, 0.6 mM NBT and the crude protein extract (45 mg). A 550 was measured after 15 min illumination. A SOD unit was defined as the amount of enzyme causing 50 % inhibition of NBT reduction. For ingel SOD activity, electrophoresis was carried out at 4 uC in 10 % polyacrylamide mini-slab gels in standard Tris-glycine buffer (pH 8.3), loading 10 mg each crude extract. After electrophoresis, the photochemical method described by Beauchamp & Fridovich (1971) was modified and used to determine SOD activity on gels. Briefly, the gel was soaked in 50 mM potassium phosphate buffer (pH 8.5), 0.1 mM EDTA, 0.02 mM riboflavin, 13 mM methionine, 0.6 mM NBT. The gel was illuminated with a light intensity of 30 mE m 22 s 21 for 15 min to initiate the photochemical reaction. All the procedures were carried out at room temperature.

P. Guerrero and others
RNA isolation and mRNA detection. An overnight bacterial culture (wild-type and TCS mutant strains) was diluted 100-fold with fresh LB medium and grown at 37 uC, with shaking, up to OD 600~0 .4. The culture was split into two 10 ml aliquots and one of them was incubated with CIP or MEN. Cells were grown at 37 uC and 4 ml aliquots were withdrawn 20 min after exposure to the toxic compounds. Total RNA was extracted using the GenElute Total RNA purification kit (Sigma) following the manufacturer's instructions. Total RNA was treated with 2 U DNase I to remove trace amounts of DNA. cDNA synthesis was carried out at 37 uC for 1 h in 25 ml of a mixture that contained 2.5 pmol of the specific reverse primers (see below), 10 ml template RNA (5 mg), 0.2 mM dNTPs, 1 ml nuclease-free water, 4 ml 56 buffer [250 mM Tris/HCl pH 8.3, 375 mM KCl, 15 mM MgCl 2 , 10 mM DTT, 40 U RNasin and 200 U M-MLV reverse transcriptase (Invitrogen)]. Relative quantification of transcript levels was performed by qRT-PCR using the Brilliant II SYBR Green QPCR master reagent kit and the Mx3000P detection system (Stratagene). 16S rRNA levels were used for normalization. The qRT-PCR mixture (20 ml) contained 1 ml cDNA template, 120 nM each primer (sodARTFw and sodARTRv for the sodA gene; sodBRTFw and sodBRTRv for the sodB gene; 16SFw and 16SRv for the 16S rRNA gene) and 10 ml ROX reference dye (1 : 200). The qRT-PCR was performed under the following conditions: 10 min at 95 uC followed by 40 cycles of 30 s at 95 uC, 45 s at 53 uC and 30 s at 72 uC, followed by a melting cycle from 53 to 95 uC to check for amplification specificity. A previous standard quantification curve with serial dilutions of RT-PCR products was constructed for each gene to calculate the amplification efficiency. These values were used to obtain the ratio between the gene of interest and the expression of the 16S rRNA gene as described by Pfaffl (2001). All experiments were performed for three biological and technical replicates. The graphics were performed using Graphpad Prism 5 software.
Bioinformatic analysis. Bioinformatic analyses in search of putative BBSs at the sodA promoter region were performed using the Vector NTI software and the consensus sequences described by Nishino et al. (2005) and Yamamoto et al. (2008).
Protein purification. Briefly, E. coli BL21(DE3) cells harbouring plasmid pET-TOPO-baeR were grown in 500 ml LB medium supplemented with ampicillin (100 mg ml 21 ) to OD 600~0 .4 and protein overexpression was carried out by adding 1 mM IPTG and growing for a further 6 h. His-tagged BaeR used in EMSAs was purified as previously described (Guerrero et al., 2012).
Construction of transcriptional fusions with the lacZ reporter gene. The native sodA promoter region from positions +1 to 2600 (with respect to the translation start site) was amplified by PCR with primers pLacZ_SodA_2600Fw and pLacZ_SodA_+1Rv using gDNA from S. Typhimurium as a template (strain 14028s). The restriction sites (KpnI and HindIII, respectively) at the ends of the DNA fragment were introduced by the PCR primers (underlined sequences, Table 2) and digested with the corresponding enzymes. The digested PCR product was cloned into the multiple cloning site of the pLacZ-Basic reporter vector (GenBank accession no. U13184; Clontech) generating the psodA-lacZ plasmid. To generate the pMutA-lacZ and pMutB-lacZ plasmids, the primers used to generate overlapping PCR products spanning the whole length of the sodA promoter were: pLacZ_SodA_2600Fw with pSodA_MUTA_Rv or pSodA_MUTB_Rv and pLacZ_SodA_+1Rv with pSodA_MUTA_Fw or pSodA_ MUTB_Fw ( Table 2). The PCR was performed under the following conditions: 5 min at 95 uC, followed by 10 cycles of 30 s at 94 uC, 30 s at 40 uC and 2 min at 72 uC, followed by 10 cycles of 30 s at 94 uC, 30 s at 45 uC and 2 min at 72 uC, and 20 cycles of 30 s at 94 uC, 30 s at 50 uC and 2 min at 72 uC, and a final extension of 10 min at 72 uC. The resulting PCR products were used as templates in a second reaction with primers pLacZ_SodA_2600Fw and pLacZ_SodA_+1Rv, under the PCR conditions 10 min at 95 uC, followed by 30 cycles of 30 s at 95 uC, 30 s at 55 uC and 1 min at 72 uC, and a final extension of 10 min at 72 uC, to generate the mutated sodA promoter, which was digested and cloned into the multiple cloning site of the pLacZ-Basic plasmid to generate pMutA-lacZ and pMutB-lacZ.
Mutations of both sites were generated in the same way, generating the pMutAB-lacZ plasmid. Constructions were confirmed by DNA sequencing. The constructs were transformed into the 14028s and DbaeSR strains. To evaluate activity, cells grown at OD 600~0 .4 were treated for 30 min with 0.91 mM CIP or 50 mM MEN. Control cells received no treatment. b-Galactosidase activity was determined as described by Miller (1972) and modified by Gil et al. (2007).
EMSA. To study protein-DNA interaction between BaeR and the sodA promoter region, non-radioactive EMSAs were performed according to the protocol described by De la Cruz et al. (2007) and  Gil et al. (2009). The probes were obtained by PCR using specific primers pLacZ_SodA_2600Fw and pLacZ_SodA_+1Rv, to amplify the promoter region of sodA (600 bp). As a negative control, a 199 bp fragment from the coding region of mdtA was used. The fragment was generated using mdtARTFw and mdtARTRv primers. The PCR was performed under the following conditions: 10 min at 95 uC, followed by 30 cycles of 30 s at 95 uC, 30 s at 55 uC and 1 min at 72 uC, and a final extension of 10 min at 72 uC. DNA fragments with mutations in the BBS boxes A and B were generated by PCR using primers pLacZ_SodA_2600Fw and pLacZ_SodA_+1Rv and plasmids pMutA-lacZ, pMutB-lacZ and pMutAB-lacZ as templates.
For the preparation of phosphorylated BaeR (BaeR-P) used in DNAbinding studies, a standard phosphorylation reaction was used in which the protein (60 mg ml -1 , final concentration) was incubated for 1 h at 30 uC in a buffer containing 100 mM Tris-HCl (pH 7), 10 mM MgCl 2 , 125 mM KCl and 50 mM disodium carbamyl phosphate (Sigma) (Guerrero et al., 2012). Both the promoter region and the negative control (~2 ng ml 21 ) were mixed with increasing amounts of purified BaeR-P in the presence of binding buffer [10 mM Tris-HCl (pH 7.5), 50 mM KCl, 5 mM MgCl 2 and 2.5 % (v/v) glycerol].
The mixture was incubated for 30 min at room temperature and loaded onto a native 6 % polyacrylamide gel in 0.56 Tris/borate-EDTA buffer. The DNA bands were visualized by ethidium bromide staining on a UV transilluminator. All primers used in this work were designed using the Vector NTI 10 Software.

BaeSR TCS modulates SOD activity in response to CIP
The BaeSR TCS regulates the expression of mdtA in response to CIP (Guerrero et al., 2012), and S. Typhimurium DbaeSR and DmdtA strains are more sensitive to the antibiotic (MIC 3.64 mM for wild-type, 1.82 mM for DbaeSR and DmdtA strains). We speculated that the role of BaeSR in the response to CIP was not limited to activating efflux systems like mdtABCD, but could also be implicated in modulating SOD activity, as suggested by Kaldalu et al. (2004) and Smirnova et al. (2012). To test this hypothesis, we analysed SOD activity in crude protein extracts from cells treated with CIP or MEN (menadione, superoxide-generating agent as described by Yu, 2007), as described by Beauchamp & Fridovich (1971). In the wild-type strain, total SOD activity increased by 45 and 52 % after CIP and MEN exposure, respectively. Conversely, in the DbaeSR strain total SOD activity was lower after CIP treatment, as compared with untreated cells, while MEN treatment increased the activity, but at levels that were lower than in the wild-type strain exposed to MEN (Fig. 1a). This suggests that BaeSR could modulate total SOD activity. To further investigate the role of BaeSR in this process, and determine if its regulatory effect was over all SOD isozymes or one in specific, we determined SOD activity on native polyacrylamide gels as described elsewhere (Touati, 1983). As shown in Fig. 1(b), in the wild-type strain the major contribution to SOD activity after CIP and MEN treatment corresponds to SodA (Mn-SOD) and SodB (Fe-SOD), which were increased with respect to untreated cells (Fig. 1b). In contrast, in the DbaeSR strain the activity of both enzymes remained almost unaltered after CIP treatment, and only the activity of SodA was slightly increased after MEN treatment, although the levels were significantly lower than in wild-type cells under the same condition (Fig. 1b). Activity of the periplasmic SODs (SodCI/II) was not detected, independent of the genetic background, and therefore was not further investigated. Taken together, our results indicate that the BaeSR TCS modulates SOD activity in response to CIP and MEN, and suggests that the system exerts its effect by regulating the levels of SodA and SodB.

SodA is upregulated by the BaeSR TCS in response to CIP
To correlate the changes in SOD activity after CIP and MEN treatment that depended on BaeSR with changes at the transcriptional level, we determined the transcript levels of sodA and sodB in the different genetic backgrounds. In the wild-type strain, the transcript levels of sodA (Fig. 2a) were increased after exposure to CIP and MEN (2-and 4.6-fold change, respectively). In contrast, the transcript levels of sodB (Fig. 2b) remained almost unaltered after CIP treatment, while in response to MEN the transcript levels of sodB decreased (Fig. 2b). In the baeSR mutant, the positive regulation of sodA observed in the wild-type strain in response to CIP was abolished (Fig.  2a), while the transcript levels of sodB (Fig. 2b) were decreased (21.94-fold change). In response to MEN, the transcript levels of all of the genes under study retained the regulation observed in the wild-type strain (Fig. 2a, b), indicating that they are differentially expressed in response to both toxic compounds. These results indicate that, in response to CIP, the BaeSR TCS is required to upregulate sodA expression and to maintain the levels of sodB.

BaeR binds to the sodA promoter region
To determine if the changes at the transcriptional level were due to a direct interaction of BaeR with the promoter regions of sodA and sodB, we performed a bioinformatic analysis searching for putative BBSs. As shown in Fig. 3(a), the analysis predicted the presence of two potential binding sites at the promoter of sodA, named BBS-1 (GGTTG-CTTCATGATTCCC) and BBS-2 (ACCTTCTTGATTTTG-CCA). For sodB, the analysis did not predict binding sites (data not shown). BBS-1 and BBS-2 showed an identity of 78 and 67 % to the consensus site described by Nishino et al. (2005) (TTTTTCTCCATDATTGGC) and 67 and 44 % to the consensus site described by Yamamoto et al. (2008) (TCTNCANAA). Alignment of BBS-1 and BBS-2 with BBSs described elsewhere (Nishino et al., 2005;Yamamoto et al., 2008) allowed us to identify a conserved CTNCA element (underlined in the sequence), for which BBS-1 and BBS-2 showed an identity of 100 and 80 %, respectively. To confirm the interactions between BaeR and the predicted sites, we performed EMSAs using a PCR product spanning the promoter region from position 2600 to +1 with respect to the translational start site (fragment A, Fig. 3a) and increasing amounts of purified BaeR or BaeR-P. Both BaeR and BaeR-P were able to bind to the wild-type promoter (Fig. 3b, c), although at different concentrations (0.9 and 0.6 mM, respectively), indicating that phosphorylation of BaeR increases its affinity for the promoter of sodA. To evaluate the requirement of BBS-1 and BBS-2 for BaeR-P binding in vitro, the CTNCA element was mutated individually or with the promoter of sodA (Fig. 3a). EMSAs showed that individually mutating BBS-1 or BB2-2 required doubling the amount of BaeR-P to generate a shift in the electrophoretic mobility, as compared with the wild-type promoter (Fig. 3c, fragments B and C, respectively), while mutation of both sites eliminated the interaction even at 1.2 mM BaeR-P (Fig. 3c, fragment D). This indicates that BBS-1 and BBS-2 are required for BaeR-P binding in vitro, and suggests that they are required for the observed regulation of sodA expression.
The promoter region of sodA has one functional BBS box To determine if the BBSs were functional in vivo, we constructed transcriptional fusions with the fragments schematized in Fig. 3(a). The different constructions were transformed into strains 14028s and DbaeSR, and bgalactosidase activity was measured after 30 min of CIP or MEN exposure. Wild-type and DbaeSR cells harbouring the native or mutated constructs showed increased activity after MEN treatment (Fig. 4a, b), further demonstrating that the upregulation of sodA in response to MEN is independent of the BaeSR TCS, and of BBS-1 or BBS-2. In the wild-type strain with the native promoter or mutated at BBS-2, CIP exposure resulted in increased activity (Fig. 4a). In contrast, when BBS-1 was mutated there were no changes in the activity after CIP exposure, indicating that this regulatory element is required for the positive regulation of sodA. In the baeSR mutant strain CIP exposure had no effect on bgalactosidase activity, independent of the construct, as compared with untreated cells (Fig. 4b). In sum, the results from EMSAs and transcriptional fusions indicate that BaeR positively regulates sodA in response to CIP by a direct interaction with its promoter region, most likely by binding to BBS-1. Typhimurium 14028s and DbaeSR. Exponentially growing cells were exposed to CIP (0.91 mM) and MEN (50 mM) for 10 min and RNA was extracted. Controls received no treatment. The transcript levels of sodA (a) and sodB (b) were detected by qRT-PCR in strains 14028s (white bars) and DbaeSR (black bars). Experiments were repeated three times and results were normalized using the transcript levels of the 16S rRNA. Asterisks represent statistically significant differences between strains treated with the same toxic compound (***P¡0.001). Error bars, ±SD.

DISCUSSION
It has been proposed that bactericidal antibiotics can induce cellular death through a common mechanism of oxidative damage that relies on the production of ROS, principally O 2 2 (Kohanski et al., 2007). Gram-negative bacteria genomes code for enzymes that dismutate O 2 2 : two cytoplasmic SODs (SodA and SodB) and a periplasmic zinc cofactored isozyme (SodCII) (Korshunov & Imlay, 2002;Fang et al., 1999). In S. Typhimurium, a second periplasmic SOD, denominated SodCI, is also present (Fang et al., 1999;Figueroa-Bossi & Bossi, 1999). Based on the model of antibiotic killing through ROS production (Kohanski et al., 2007), and the fact that the BaeSR TCS participates in the response to CIP (Guerrero et al., 2012), we speculated that BaeSR could contribute to CIP resistance by upregulating the transcript levels of the genes that code for SODs. In agreement, total SOD activity was increased in the wild-type strain exposed to CIP, and was dependent on BaeSR (Fig. 1). Additionally, sodA transcript levels were increased in response to CIP, while the levels of sodB remained unaltered; however, in the baeSR mutant the levels of sodA and sodB were decreased after exposure to the antibiotic (Fig. 2).
During the course of this study, two reports showed that killing by bactericidal antibiotics was not mediated by ROS production (Keren et al., 2013;Liu & Imlay, 2013). However, Keren et al. (2013) showed evidence that at least for norfloxacin, a quinolone with a similar mechanism of action to CIP (Drlica & Zhao, 1997), the MIC of the antibiotic under aerobic conditions was half that of anaerobically grown E. coli cells, and killing was higher under aerobic conditions when 0.125 and 0.25 mg ml 21 of norfloxacin was used. These results suggest that at certain antibiotic and oxygen concentrations ROS could be generated, although this discrepancy was not addressed and further studies are required to confirm or rule out this possibility. Despite the recent studies of antibiotic ROSindependent killing mechanisms, there is evidence that SOD expression is increased in response to antibiotics. Expression of sodA and sodB is induced by ofloxacin ( Kaldalu et al., 2004), and sodA also by CIP (Smirnova et al., 2012), in agreement with findings from this study. Whether this increase in expression is a consequence of ROS production derived from CIP treatment remains to be determined, as well as the physiological role of SOD in response to CIP, if the mechanism is independent of ROS production.
In the present study, we focused on the role of BaeSR in regulating SOD expression in response to CIP by using sublethal concentrations of the antibiotic, and demonstrated that under this condition sodA is activated when CIP is amended. Additionally, BaeSR may contribute to CIP resistance by maintaining the basal levels of sodB (Fig.  2b). At the concentration of CIP studied, the role of BaeSR could be to detect the antibiotic and as a consequence activate detoxifying machinery, like Mn-SOD (sodA) (Kaldalu et al., 2004), and/or activate transcription of the mdtABCD operon to promote antibiotic efflux (Nishino et al., 2007). Since BaeSR is implicated in metal resistance (Nishino et al., 2007), and CIP may bind Mg 2+ (Lindner et al., 2002), one possibility is that BaeS detects CIP by the recognition of this metal.
Interestingly, neither sodA nor sodB mutant strain is sensitive to CIP (Goswami et al., 2006). It is possible that the role of the different isozymes could be partially redundant, explaining why individual mutations of either sodA or sodB do not increase the sensitivity. However, in the baeSR mutant strain treated with CIP, downregulation of sodB and loss of upregulation of sodA (Fig. 3) could lead to an increase in oxidative stress, among other conditions, leading to the sensitivity. A similar phenomenon was observed for the genes involved in H 2 O 2 degradation. Individual katE, katG and ahpCF mutant strains do not present increased sensitivity towards CIP; however, double and triple mutants are highly sensitized, supporting the notion that their responses partially overlap and are required for CIP resistance (Goswami et al., 2006).
The transcription factor SoxS positively regulates sodA in response to paraquat (Pomposiello et al., 2001); however, our analysis shows that SoxS does not contribute to sodA regulation in response to CIP (data not shown). The fact that two transcription factors positively regulate sodA in response to ROS, or possibly in response to ROS generated by exposure to antibiotics, could be explained by a model in which they respond to different concentrations of O 2 2 . Supporting this hypothesis, Martin et al. (2008) (Goswami et al., 2006), and therefore sodA upregulation by SoxS and/or BaeR could be dose dependent. Our results indicate that BaeR modulates the expression of sodB (Fig.  2b, 3b); however, EMSAs suggest that its role is indirect (data not shown). It has been reported that expression of sodB is regulated at the transcriptional and post-transcriptional level by several factors including Fur, NsrR and the sRNAs ryhB and fnrS (Massé & Gottesman, 2002;Durand & Storz, 2010;Niederhoffer et al., 1990;Partridge et al., 2009). One possibility is that BaeR could modulate the levels of one or more of these factors or sRNA, and in this manner regulate sodB, although this requires further investigation.
In E. coli the BaeSR TCS has been related to drug (Baranova & Nikaido, 2002) and metal resistance by regulating the expression of genes coding for drug efflux systems (Hu et al., 2005;Yamamoto et al., 2008). Moreover, in E. coli BaeSR has been related to envelope stress response (Leblanc et al., 2011) and zinc toxicity response (Wang & Fierke, 2013) and activates spy in association with CpxARP (Rosner & Martin, 2013). In S. Typhimurium BaeSR has been related to multidrug and metal resistance (Nishino et al., 2007), ceftriaxone resistance (Hu et al., 2005) and tungstate waste disposal (Appia-Ayme et al., 2011). Our results indicate that, in addition to the aforementioned, the BaeSR TCS plays a role in the response to CIP by regulating the expression of SodA and possibly of SodB. To our knowledge, this is the first evidence relating this TCS system with this regulation, suggesting that its role in CIP resistance could be more complex. Further studies to determine the genes regulated by BaeSR in response to CIP, the molecular mechanism of BaeSR activation by CIP, and if CIP treatment generates