Amelioration of the Fitness Costs of Antibiotic Resistance Due To Reduced Outer Membrane Permeability by Upregulation of Alternative Porins Michael Knopp1 and Dan I. Andersson*,1 1 Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden *Corresponding author: E-mail: [email protected]. Associate editor: Miriam Barlow Abstract The fitness cost of antibiotic resistance is a key parameter in determining the evolutionary success of resistant bacteria. Studies of the effect of antibiotic resistance on bacterial fitness are heavily biased toward target alterations. Here we investigated how the costs in the form of a severely impaired growth rate associated with resistance due to absence of two major outer membrane porins can be genetically compensated. We performed an evolution experiment with 16 lineages of a double mutant of Escherichia coli with the ompCF genes deleted, and reduced fitness and increased resistance to different classes of antibiotics, including the carbapenems ertapenem and meropenem. After serial passage for only 250 generations, the relative growth rate increased from 0.85 to 0.99 (susceptible wild type set to 1.0). Compensation of the costs followed two different adaptive pathways where upregulation of expression of alternative porins bypassed the need for functional OmpCF porins. The first compensatory mechanism involved mutations in the phoR and pstS genes, causing constitutive high-level expression of the PhoE porin. The second mechanism involved mutations in the hfq and chiX genes that disrupted Hfq-dependent small RNA regulation, causing overexpression of the ChiP porin. Although susceptibility was restored in compensated mutants with PhoE overexpression, evolved mutants with high ChiP expression maintained the resistance phenotype. Our findings may explain why porin composition is often altered in resistant clinical isolates and provide new insights into how bypass mechanisms may allow genetic adaptation to a common multidrug resistance mechanism. Key words: antibiotic resistance, fitness cost, compensatory evolution, Escherichia coli, porin. Introduction Article The evolution and dissemination of antibiotic-resistant bacteria represent a major public health threat jeopardizing important medical advances. To rationally combat antibiotic resistance, we need to understand which factors influence the emergence and persistence of resistant clones. One key factor is the fitness cost of resistance, that is, the impact the resistance mechanism has on bacterial growth and survival. In the presence of high levels of antibiotics, the acquisition of an antibiotic resistance mechanism provides a fitness advantage, in comparison with susceptible competitors, whereas in the absence of antibiotics resistance mechanisms generally confer deleterious effects, typically observed as an increased generation time and reduced survival inside a host (Andersson and Levin 1999; Andersson and Hughes 2010). These observations suggest that resistant bacteria should generally be outcompeted by susceptible, higher fitness populations after removal of the selective pressure. However, several factors can cause the resistance to be maintained: 1) coselection of resistance genes with other functions that confer a fitness advantage (Enne et al. 2001; Baker-Austin et al. 2006; Yates et al. 2006), 2) presence of resistances that impose a very low or no cost (Ramadhan and Hegedus 2005; Criswell et al. 2006), 3) selection for resistant strains by the presence of very low amounts of antibiotics and heavy metals present as environmental pollutants (Gullberg et al. 2011, 2014), and 4) compensatory evolution that reduces the fitness cost, often without loss of the resistance (Lenski 1998; Schulz zur Wiesch et al. 2010; Andersson and Hughes 2011). The latter entails the acquisition of second site mutations (intra- or extragenic), generating higher fitness-resistant strains that are competitive even in the absence of antibiotics. Understanding compensatory evolution is of high importance to allow prediction of the persistence and dissemination of antibiotic resistance, but to date studies of fitness compensation have focused almost exclusively on resistance caused by target alterations. In these studies, evolution toward higher fitness was generally achieved by mutations in the same target gene, which restore functionality, or by mutations in direct interaction partners of the target gene (Levin et al. 2000; Andersson and Hughes 2010; Maclean et al. 2010). Compensation of a multidrug resistance mechanism, such as the reduction in membrane permeability, has to our knowledge not yet been studied. The outer membrane of Gram-negative bacteria forms the most exterior barrier between the environment and the bacterium. It is composed of phospholipids and lipopolysaccharides, which form a hydrophobic coat impermeable to hydrophilic compounds. Although this barrier prevents the ß The Author 2015. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. All rights reserved. For permissions, please e-mail: [email protected] 3252 Mol. Biol. Evol. 32(12):3252–3263 doi:10.1093/molbev/msv195 Advance Access publication September 9, 2015 MBE Fitness Costs of Antibiotic Resistance . doi:10.1093/molbev/msv195 import of many toxic substances, it also hinders the export of such. Furthermore, external nutrients are not able to freely diffuse through this hydrophobic layer. To allow an efficient exchange with the environment, the outer membrane contains outer membrane proteins (OMPs) that form hydrophilic channels (pores) facilitating nutrient uptake and export of toxic substances. Escherichia coli encodes three major porins, OmpC, OmpF, and PhoE. These proteins fold into ß-barrels and assemble into trimers in the outer membrane forming aqueous pores (Gehring and Nikaido 1989; Cowan et al. 1992, 1995; Basle et al. 2006). The pores allow the passive diffusion of molecules smaller than 500–600 Da, with OmpC having a slightly smaller exclusion size than OmpF and PhoE (Nikaido and Rosenberg 1983). OmpR, the response regulator of the EnvZ–OmpR two-component system, regulates expression of OmpC and OmpF (Sarma and Reeves 1977; Hall and Silhavy 1981). Depending on the osmolarity of the surrounding medium, OmpR enhances transcription of either ompC or ompF. Even though both these porins are expressed constitutively to some extent, OmpR is crucial for high-level expression (Mizuno and Mizushima 1987). At the posttranscriptional level, ompC and ompF, as well as the majority of other OMPs, are also regulated by Hfq-dependent small RNAs (sRNAs). Hfq acts as an RNA chaperone and mediates the pairing of sRNAs with their trans-encoded targets, which enables or represses translation or degradation of the target mRNA, depending on the regulatory function of the sRNA. Examples of regulatory sRNAs targeting the expression of OMPs are MicA, MicC, MicF, OmrAB, or ChiX negatively regulating the expression of ompA, ompC, ompF, ompT, and chiP, respectively (Guillier et al. 2006; Vogel and Papenfort 2006; Valentin-Hansen et al. 2007). The third major porin, PhoE, is a member of the Pho regulon. This regulon contains over 47 genes (VanBogelen et al. 1996; Han et al. 1999; Suziedeliene et al. 1999; Baek and Lee 2006) whose expression is under the control of the PhoRB two-component regulatory system and is induced upon phosphate starvation (Vershinina and Znamenskaia 2002; Lamarche et al. 2008). Under phosphate-limiting conditions, the response regulator PhoB is phosphorylated by the sensor kinase PhoR. After phosphorylation, PhoB can bind to Pho boxes and enable transcription of Pho-regulated genes. In the presence of high levels of phosphate, PhoR enters an alternative state, which disturbs PhoB phosphorylation. The detailed mechanism of this inhibition is still unclear, but PhoU is essential for this regulatory process. PhoU is located in an operon together with the Pst system (phosphate-specific transporter). These genes, encoding PstS, PstC, PstA, and PstB, form a highaffinity/low-velocity phosphate uptake system in the inner membrane and are crucial for PhoR/PhoB regulation. Besides its transport function, the Pst system acts as a sensor of external Pi concentrations and transmits the signal to PhoR, inducing an activation or inhibition complex. The Pst proteins play a crucial role in sensing periplasmic phosphate levels and activating expression of Pho-regulated genes (Hsieh and Wanner 2010) and it was previously shown that loss of function mutations in any members of the pstSCAB–phoU operon lead to constitutive activation of the Pho regulon (for a review see Lamarche et al. 2008). Besides the three major porins OmpC, OmpF, and PhoE, E. coli encodes an additional set of pore-forming OMPs. Among these are unspecific porins like OmpN and OmpG, which allow passive diffusion of small hydrophilic molecules, as well as specialized porins, which only facilitate the uptake of specific substrates. Examples of specific porins are ChiP and LamB, which enable the uptake of chitobiose and maltodextrin, respectively (Wang et al. 1997; Plumbridge et al. 2014). OMPs, especially the abundant major porins OmpC and OmpF, play an important role in the development of antibiotic resistance. Many antibiotics, for example, carbapenems, quinolones, aminoglycosides, and tetracyclines, cannot easily diffuse through the outer membrane (Delcour 2009). Instead, these antibiotics utilize porins to overcome the hydrophobic barrier and translocate into the periplasm. The molecular mechanisms of antibiotic uptake by porins have been studied intensively (Ceccarelli et al. 2004; Danelon et al. 2006; Hajjar et al. 2010; Ziervogel and Roux 2013). Considering the importance of porins for antibiotic entry into the periplasm, it is not surprising that loss of porins can increase resistance toward multiple antibiotics (Delcour 2009). Often, single point mutations alone that slightly alter the pore properties are sufficient to significantly decrease antibiotic uptake (Simonet et al. 2000; Bredin et al. 2002), and mutations that lead to loss or alterations of porins are frequent among resistant clinical isolates: A study analyzing porin abundance in 45 ß-lactamresistant clinical isolates of E. aerogenes showed that over 40% lacked porins (Charrel et al. 1996). Similarly, sequencing of the two major porins OmpK36 and OmpK35, which are homologs of the E. coli OmpC and OmpF, in five pan-resistant clinical isolates of Klebsiella pneumoniae showed that all strains carried mutations in both the major porins (Shi et al. 2013). Antibiotic resistance due to reduced porin expression and membrane permeability comes at a significant cost, because simultaneous with the exclusion of antibiotics important nutrients are concomitantly excluded from the periplasm (Ferenci 2005). During antibiotic treatment, a decreased nutrient uptake might be an acceptable trade-off; however, in the absence of antibiotics an impermeable outer membrane will be deleterious. We present a detailed study on how E. coli copes with porin loss in the absence of antibiotics and what evolutionary pathways are available to ameliorate the fitness cost due to loss of the two major porins OmpC and OmpF. Results Evolution of Porin-Deficient Mutants and Identification of Compensatory Mutations Removal of the two major porins OmpC and OmpF in E. coli increased the resistance to carbapenems by 4- (meropenem) to 60-fold (ertapenem) with an associated reduction in exponential growth rate of 15% in the absence of drugs (fig. 1). To investigate if and how this cost can be genetically reduced, we conducted an evolution experiment starting with 16 parallel lineages of a parental strain lacking OmpC and OmpF (DA31944). All lineages were serially passaged daily by 3253 Knopp and Andersson . doi:10.1093/molbev/msv195 MBE Fig. 1. Relative growth rate and resistance profile of the ompCF double knockout and eight evolved growth-compensated mutants. The exponential growth rates are presented as relative values (filled circles) compared with the wild-type growth rate on the primary y-axis. The dotted line indicates the relative wild-type growth rate and the corresponding genotype of each strain is indicated above the graph. Each data point represents the average of three biological and three technical replicates; the error bars represent the standard deviation. The MIC values of all investigated strains are shown as bars on the secondary y-axis. 1:1,000 dilutions in 1 ml Lysogeny broth (LB) medium, resulting in approximately 10 generations of growth per day. After 250 generations, we isolated individual clones from each population and assessed the exponential growth rate and the resistance phenotype (supplementary fig. S1, Supplementary Material online). Fourteen of the 16 clones showed a significant increase in growth rate compared with the unevolved parental strain, with relative growth rates ranging from 0.89 to 0.99 (as compared with 0.85 in the parental ompCF double mutant). Eight clones that showed the highest increase in fitness were chosen for subsequent analysis (fig. 1). Notably, in some instances the increase in growth rate was accompanied by a complete loss of the resistance phenotype, while other mutants maintained partial or full resistance to ertapenem and meropenem. Eight clones were whole-genome sequenced to investigate the genetic basis of adaptation (table 1). All the mutants contained 1–2 SNPs and/or 1–2 insertion sequence (IS) element insertions. No duplications, deletions, or inversions were observed. Genetic changes were found mainly in five different genes (hfq, chiX, phoR, pstS, and rpoS) in different combinations. Among these, hfq and phoR were found to be mutated in multiple strains, whereas the two mutants that carried the wild-type alleles of phoR and hfq (DA32616 and DA32628) carried mutations in genes directly associated with Hfq or PhoR function: DA32616 contained an insertion in the chiX gene, encoding an sRNA which regulates the porin ChiP in an Hfq-dependent fashion (Rasmussen et al. 2009), while DA32628 carried an insertion in pstS, a known suppressor of the Pho regulon (Ruiz and Silhavy 2003). Four mutants carried a mutation inside or upstream rpoS. This gene 3254 encodes the alternative sigma factor RpoS which is involved in the expression of genes related to stress responses and secondary metabolism (Battesti et al. 2011). The order in which the mutations occurred during the evolution experiment was determined by Sanger sequencing the relevant genes from frozen populations isolated at different time points. The two insertions in chiX and rpoS present in DA32616 could be detected at the earliest time point. Isolation and sequencing of DNA from individual clones from populations saved after 100 and 150 generations showed either wild-type alleles of chiX and rpoS or double mutants carrying insertions in both genes, indicating that both insertions occurred contemporaneously early during the evolution experiment (supplementary tables S4 and S5, Supplementary Material online). In general, mutations in phoR, hfq, and pstS occurred very early during the evolution experiment, while mutations in rpoS, gltP, and sapC could only be detected after 200 or 250 generations. Analysis of Growth-Compensated Mutants Showed that phoR and pstS Mutations Upregulate PhoE, Whereas hfq and chiX Mutations Upregulate ChiP We hypothesized that the compensatory mutations caused an upregulation of alternative porins that could compensate for the lack of OmpC and OmpF. To investigate the role of the phoR and pstS mutations in compensation with porin loss, we first measured the activity of the alkaline phosphatase (AP) PhoA in the growth-compensated mutants in stationary and exponential growth phase (fig. 2). This enzyme is a member of the Pho regulon and can be used as an indicator Fitness Costs of Antibiotic Resistance . doi:10.1093/molbev/msv195 Table 1. Mutations in growth-compensated mutants. Strain DA32613 DA32616 DA32619 DA32620 DA32621 DA32622 DA32627 DA32628 SNP phoR M189Ra rpoS I128Nb — hfq R16S hfq P10La (sapC S69P)b hfq P10L phoR T151del phoR L146Pa rpoS T-21Gb (gltP A-115T)c Insertion — chiX:insAa rpoS-71insBa — — — — pstS:insAa rpoS -528insHb Note.—Within parenthesis are mutations that are unlikely to contribute to the observed phenotypes. a–c The order in which the mutations appeared in the populations. of the activation level of this regulon. In the stationary phase, AP activity was increased 200- to 500-fold in the growthcompensated mutants that carried a mutation in either phoR or pstS, indicating that these mutations result in an activation of the Pho regulon. In contrast, strains carrying mutations in hfq or chiX showed the same AP activity as the wild type, demonstrating that these mutations do not influence the Pho regulon. Interestingly, the unevolved porindeficient mutant exhibited high AP concentrations in exponential phase. This activation was maintained for a phoR mutant (DA32613), while wild-type levels were restored in an hfq mutant (DA32621). To further examine whether the compensatory mutations cause upregulation of alternative porins, we used qPCR to determine transcription levels of several different porins. The Pho regulon contains the third major porin in E. coli, PhoE. Under normal conditions the PhoR and PstS proteins repress phoE expression. To test whether the expression of phoE was altered in the compensated mutants, we determined its transcription level in a selected set of evolved mutants (fig. 3). As predicted, coinciding with increased PhoA activity, phoE expression was strongly upregulated in strains carrying a mutation in phoR or pstS, whereas mutations in hfq and chiX had no or smaller effects on PhoE expression. Besides PhoE, the E. coli genome encodes several OMPs, many of which constitute pore-forming channels. To test whether upregulation of other porins contribute to the growth compensation in evolved OmpCF-deficient double mutants, we analyzed the expression levels of four other genes encoding putative outer membrane pores: ompG, ompN, ompW, and chiP. No difference in expression levels was observed for ompG, ompN, or ompW in any of the tested strains. In contrast, the expression of chiP, a specific porin facilitating the uptake of chitooligosaccharide (Plumbridge et al. 2014), was increased in DA32616 (IS insertions in chiX and rpoS) and DA32621 (hfq P10L) by 76- and 61-fold, respectively. Expression of the OMP ChiP is tightly repressed by MBE the sRNA ChiX that binds to the 50 UTR of the chiP mRNA and sequesters the ribosome binding site (Rasmussen et al. 2009). Furthermore, Hfq is essential for the regulatory function of ChiX (Zhang et al. 2003; Mandin and Gottesman 2009), and mutations in hfq can disrupt the binding affinity of Hfq to its substrates, thereby disrupting the regulation by sRNAs. Thus, the mutations found in chiX (DA32616) and hfq (DA32621) result in the same downstream effect: Activation of chiP expression, most likely by impairing the repressing function of the ChiX sRNA. Unexpectedly, the transcript level of the second regulatory target of ChiX, the sensor kinase DpiB of the two-component system DpiAB, was not increased in any of the analyzed strains (fig. 3). Outer Membrane Profiling Shows that PhoE Is Upregulated in phoR and pstS Mutants The outer membrane of Gram-negative bacteria can be selectively purified and OMPs extracted. In wild-type E. coli K12 (strain MG1655), the porins PhoE and ChiP cannot be easily detected under normal conditions. To examine porin expression in growth-compensated mutants, we analyzed the protein composition of the outer membrane of the wild type (DA4201), the unevolved OmpCF-deficient mutant (DA31944), and four selected growth-compensated mutants (fig. 4). Consistent with the transcriptional analysis, PhoE levels were increased in strains carrying a mutation in phoR (DA32622) or pstS (DA32628), whereas in the growthcompensated strains with mutations in hfq (DA32621) or chiX (DA32616), PhoE levels remained low. We were not able to detect ChiP in any of the samples. Despite the strongly increased transcription of chiP, we suspect that the protein level is still too low to be detected with this method. We tried to detect ChiP by introducing a C-terminal FLAG tag to the wild-type and mutant strains (for strain numbers see supplementary table S1, Supplementary Material online), but even with this tag attached no ChiP protein was detectable in a western blot (data not shown), possibly because the tag was not accessible to the antibody or it prevented proper folding into the membrane and therefore led to degradation of ChiP. Expression of chiP and phoE Is Both Necessary and Sufficient for Compensation of the Growth Defects Caused by ompCF Deletion We performed two different tests to unambiguously demonstrate the need for ChiP and PhoE upregulation for growth compensation in the evolved mutants. If ChiP and PhoE are necessary and sufficient to confer compensation, it is expected that deletion of the corresponding genes should prevent compensation and conversely that overexpression should confer compensation. First, we constructed chiPand phoE-knockout mutations in the wild type, in the unevolved porin-deficient mutant, and in a subset of the compensated strains. Although removal of chiP and phoE had no effect on exponential growth rate in the wild-type (DA4201) and the unevolved porin-deficient mutant (DA31944), the effects in the evolved strains were as expected (fig. 5). Thus, deletion of chiP from mutants carrying 3255 Knopp and Andersson . doi:10.1093/molbev/msv195 MBE Fig. 2. Relative AP activities in exponential and stationary phase. AP activities from two OD units of stationary phase culture (dark grey) and exponential phase cultures (light grey) were measured from three biological replicates. All values are relative to the AP activity in the wild-type sample (DA4201) in stationary phase (set to 1.0). The error bars represent the standard deviation. The relevant mutated genes of each strain are indicated above the chart. Fig. 3. mRNA expression analysis of selected genes. Transcript levels of ompG, ompN, ompW, dpiB, phoE, and chiP were measured using qRT-PCR. RNA was harvested in exponential phase (OD600 = 0.15) from three biological replicates. Error bars represent the standard deviation. Values for each gene are relative to the corresponding wild-type value (set to 1.0). The relevant mutated genes of each strain are indicated above the chart. compensatory mutations in chiX (DA32616) and hfq (DA32621) reduced the exponential growth rate by 6% and 4%, respectively, whereas deletion of phoE from these genetic backgrounds caused no reduction in exponential growth rate. Conversely, removal of the phoE gene from mutants harboring mutations in phoR (DA32622) or pstS (DA32628) decreased exponential growth rate by 13% and 21%, respectively, whereas deletion of chiP in these mutants did 3256 not change the growth rate. These results demonstrate that the compensatory effect of the chiX and hfq mutations requires a functional chiP gene and that the compensatory effect of the phoR and pstS mutations requires a functional phoE gene. As a second test, we investigated if overexpression of alternative porins could abrogate the growth defects of the unevolved porin-deficient mutant. We used six different Fitness Costs of Antibiotic Resistance . doi:10.1093/molbev/msv195 Fig. 4. Outer membrane profiling. OMPs were extracted in exponential phase and separated on an SDS-Gel containing 10% acrylamide and 6 M urea. Protein bands were visualized using colloidal coomassie staining. Shown is a fraction of the gel containing OmpC, OmpA, and PhoE. The proteins were cut out and identified using mass spectrometry analysis. The relevant mutated genes of each strain are indicated above the picture. plasmids from the ASKA library encoding chiP, phoE, ompN, ompG, ompW, and an empty vector control to study the influence of these porins on exponential growth rates. Because strong induction of porin expression with the high copy ASKA-vector pCA24N had a deleterious effect on growth even in a wild-type control (supplementary fig. S2, Supplementary Material online), we used a relatively low (15 mM) concentration of the inducer Isopropyl ß-D-1-thiogalactopyranoside (IPTG). As expected, overexpression of either ChiP or PhoE could completely restore growth in an OmpCFdeficient strain, whereas overexpression of OmpN or OmpW did not increase the exponential growth rate (fig. 6). Surprisingly, OmpG was also able to compensate for the loss of OmpC and OmpF. These results show that overexpression of either ChiP, PhoE, or OmpG is sufficient to compensate for the fitness reduction caused by lack of OmpCF. Discussion To better understand how antibiotic resistance evolves and persists in bacterial populations, we need to understand how bacteria can overcome resistance-associated fitness costs by compensatory mutations. So far, studies of fitness compensation have been strongly biased toward resistances based on target alterations (Andersson and Hughes 2010). Here, we present a detailed genetic analysis of the evolutionary pathways that can ameliorate the growth defects conferred by a general resistance mechanism (see supplementary table S3, Supplementary Material online, for resistance profile to different antibiotic classes) that reduces permeability of the outer membrane. The loss of outer membrane porins as a result of antibiotic pressure is commonly observed among clinical isolates (Fernandez and Hancock 2012). We found that the reduction in fitness caused by porin loss can be rapidly compensated. Thus, 250 generations of growth were sufficient for the evolution of high-fitness mutants in almost all tested lineages. Based on our results, we propose a model where the exponential growth rate in an OmpCF-deficient strain of E. coli K12 MG1655 is restored by upregulation of either of the porins PhoE or ChiP. This upregulation was achieved by mutations in genes involved in two different regulatory pathways: 1) by activation of the Pho regulon due to mutations in phoR and pstS or 2) by activation of MBE chiP expression by perturbation of Hfq-dependent sRNA regulation due to mutations in chiX and hfq (fig. 7). We demonstrated by quantification real-time PCR (qRT-PCR) (fig. 3), AP activity assays (fig. 2), and outer membrane profiling (fig. 4) that the dysregulation of these pathways leads to an increased expression of 1) PhoE and 2) ChiP. Furthermore, by either removing or overexpressing PhoE and ChiP (figs. 5 and 6) we showed that these porins are needed and sufficient to confer full or partial growth compensation in the ompCF double mutant. Mutations acquired in phoR and pstS in evolved ompCFdeficient mutants resulted in a constitute activation of the Pho regulon and restored the growth rate by overproduction of PhoE. We hypothesize that PhoE can replace the physiological function of OmpC and OmpF allowing uptake of compounds that are growth limiting in the unevolved ompCF mutant. Associated with the restoration of growth PhoE overexpression also restored susceptibility toward ertapenem and meropenem, suggesting that PhoE allows uptake of these antibiotics similarly to OmpC and OmpF. Three of the four mutants that carried a mutation in phoR or pstS also contained a mutation in or upstream of rpoS, a gene encoding the alternative sigma factor RpoS. The mutant allele found in DA32613 (rpoS I128N) was reported previously to have a strongly decreased activity behaving like an RpoS null mutant (Spira et al. 2011). The nature of the other mutations found in rpoS, an SNP in the promoter, and two insertions disrupting transcriptional and translational start sites are likely to result in decreased expression and therefore decreased RpoS activity in these mutants as well. It was shown previously that overexpression of RpoS increases the expression of pstS and reduces the expression of the other Pho-regulated genes. Vice versa, a mutant lacking rpoS shows a strong increased activity of Pho-regulated genes (Taschner et al. 2004). It is therefore likely that the mutations in rpoS observed in some evolved mutants contribute to the growth compensation by increasing the expression of phoE. However, mutations in rpoS were always accompanied by additional mutations, suggesting only a minor influence on growth compensation in exponential phase. This notion is supported by the observation that a mutation in phoR (DA32622) increased the growth rate to the same extent as double mutants carrying a mutant allele of phoR and rpoS (DA32613 and DA32627) or pstS and rpoS (DA32628). We therefore suggest that rpoS mutations are not the primary cause of phoE upregulation, but possibly they provide additional fitness benefits, for example, by increasing growth yield in stationary phase (Paulander et al. 2009). Surprisingly, Pho-regulated genes were already upregulated (to a lower extent) in the unevolved ompCF-deficient mutant in exponential phase. This could indicate a stress-response mechanism due to nutrient limitation in an import-deficient strain of E. coli. Deletion of phoE in the unevolved mutant did not further reduce the growth rate, suggesting that the observed increase in phoE expression was not high enough to affect the growth rate (fig. 5). This is supported by the fact that we did not see a high abundance of PhoE in the outer membrane profile of the unevolved mutant (fig. 4), even though the mRNA levels of phoE were 3257 Knopp and Andersson . doi:10.1093/molbev/msv195 MBE Fig. 5. Effects of removal of chiP and phoE on exponential growth rates. The exponential growth rates are presented as relative values compared with the wild-type growth rate (set to 1.0). White bars represent the growth rate of the unmodified strains, dark gray bars represent the growth rate after deletion of chiP, and light grey bars represent the growth rates after deletion of phoE in the corresponding strains. The difference between bars marked with *** are considered statistically significant with P values below 0.0001. All values are based on three biological and three technical replicates. The relevant mutated genes of each strain are indicated above the chart. Fig. 6. Overexpression of OMPs. Plasmids for expression of selected porins were transformed into the unevolved porin-deficient mutant (DA31944). The plasmid was selected with 15 mg/l chloramphenicol and expression was induced with 15 mM IPTG. All values are relative to a wild type (DA4201) carrying the corresponding plasmid. All values are based on three biological and three technical replicates. The insert encoded in the ASKA-plasmid pCA24N carried by each strain is indicated above the chart. strongly elevated even without further compensatory mutations (fig. 3). The increase in phoE expression was not observed in stationary phase, possibly due to RpoS-mediated repression of the Pho regulon. Besides upregulation of PhoE, we discovered an alternative independent pathway to growth compensation mediated by ChiP. Unlike OmpC, OmpF, and PhoE, ChiP does not function as an unspecific pore, but facilitates the specialized uptake of chitin-derived oligosaccharides (Figueroa-Bossi et al. 2009). Under normal conditions, the sRNA ChiX represses the expression of chiP. This Hfq-dependent sRNA is constitutively expressed and inhibits the chiP mRNA by sequestering its 3258 ribosomal binding site (Rasmussen et al. 2009). In the presence of chitosugars, the expression of the chitobiose operon chbBCARFG is induced, which contains an exceptional trapping mechanism for the sRNA ChiX. Pairing of the sRNA with the trap triggers its degradation, which ultimately leads to an increased translation of the chiP transcript (Figueroa-Bossi et al. 2009; Overgaard et al. 2009). It is reported that ChiP is constitutively expressed in chiX deletion mutants (Rasmussen et al. 2009). This coincides with the high expression of chiP in DA32616, which carries an insertion in chiX disrupting its regulatory function. In addition to ChiX inactivation, single point mutations in hfq (DA32621) could derepress expression Fitness Costs of Antibiotic Resistance . doi:10.1093/molbev/msv195 Fig. 7. Model for compensation of ompCF deficiency in Escherichia coli. Antibiotic pressure can select for porin loss resulting in resistant mutants with reduced membrane permeability and fitness. Evolutionary adaptation to reduce the fitness costs selects for mutations in multiple negative regulators that cause either 1) overactivation of the Pho regulon and a resulting upregulation of phoE or 2) perturbation of sRNA regulation resulting in chiP upregulation. Genes marked with * acquired loss of function mutations, while mutations in genes marked with ** resulted in a reduced expression/functionality. of the chiP transcript, presumably by altering the binding to ChiX. Hfq-dependent regulation of OMPs by sRNAs is common and the estimates suggest that about one-third of known sRNAs are involved in regulation of outer membrane components (Vogel and Papenfort 2006; Valentin-Hansen et al. 2007). One of our growth-compensated mutants acquired a mutation in the arginine residue at position 16. This residue, positioned on the rim of Hfq, is highly conserved and essential for full functionality of Hfq-dependent regulation and mutations in this specific position disturb the binding of Hfq to its sRNA substrates (Panja et al. 2013). In another study comparing the regulatory capabilities of 14 different Hfq mutants for several substrates, it was shown that mutations in Hfq could completely diminish some sRNA-regulatory pathways while leaving others unaltered (Zhang et al. 2013). Mutations in position 16 in particular were shown to render ChiX nonfunctional. Complete loss of Hfq was shown MBE previously to cause increased susceptibility of E. coli to toxic compounds, including the ß-lactam antibiotics oxacillin and cefamandole (Yamada et al. 2010). Because hfq mutants selected in our study largely maintained their resistance phenotype, it further demonstrates that the functionality of Hfq is likely to be only partly impaired rather than completely lost. The P10L mutation that we observed in this study (DA32620 and DA32621) has not been described previously, but our qRT-PCR showed that ChiX-dependent chiP sequestration is severely impaired in these mutants, suggesting a similar mechanism of action. Surprisingly, the second target of ChiX, the dpiB transcript, was not affected by either the insertion in chiX or the mutant hfq alleles P10L and R16S, indicating secondary regulatory mechanisms for dpiB expression. Considering that the deletion of chiP from growth-compensated mutants with mutations in hfq (DA32621) and chiX (DA32616) did not abolish the growth compensation completely suggests that other factors might also contribute to the increased growth rate in these strains. Interestingly, compensation via chiP upregulation restored PhoA activity in exponential phase to wild-type levels and it is possible that the potential stress signal causing activation of the Pho regulon in the unevolved mutant is abrogated by elevated ChiP expression. A major difference between compensation via PhoE and ChiP is the effect on the resistance phenotype: While PhoEmediated compensation is accompanied by a complete loss of resistance, mutants that evolved high-level expression of ChiP were able to maintain the resistance at least partly. An explanation for this effect could be that ChiP does not allow passage of ertapenem and meropenem to the same extent as OmpC, OmpF, or PhoE. Overproduction of ChiP would therefore lead to high-fitness strains that selectively exclude carbapenems, an unwanted outcome in a clinical setting. In fact, a recent study by Tsai et al. (2015) demonstrated that overproduction of ImpR, the ChiP homolog in Proteus mirabilis, induces decreased carbapenem susceptibility. Similar to our results, ImpR was upregulated in an hfq mutant, increasing its resistance toward ertapenem and meropenem compared with a wild type, demonstrating the importance of ChiP for carbapenems resistance across species. Although the compensatory capability of PhoE overexpression is expected due to the high similarity to OmpC and OmpF, compensation by ChiP overexpression was surprising. Interestingly, overexpression of ChiP restored the activity of Pho-regulated genes in exponential phase to wild-type levels. This finding shows that the presumed stress signal, leading to Pho activation in exponential phase in an ompCF mutant, is removed by overproduction of ChiP. Overexpression of multiple porins showed a high specificity, with PhoE and ChiP being able to restore the growth rate to wild-type levels. In spite of being highly homologous to the three major porins OmpC, OmpF, and PhoE (Prilipov et al. 1998), OmpN was not able to functionally replace them, demonstrating the high specificity of porin function and potential for compensation. However, growth rates could be compensated by a third porin, OmpG, which forms large pores allowing unspecific transport of compounds up to 600 Da (Fajardo et al. 1998; 3259 MBE Knopp and Andersson . doi:10.1093/molbev/msv195 Subbarao and van den Berg 2006). Expression of this protein in E. coli has been observed only after rare chromosomal rearrangements placing it under a new promoter. In a wildtype strain it is believed that ompG lacks a functional promotor (Misra and Benson 1989). In contrast, expression of the phoE and chiP genes is under extensive negative regulation that can be disrupted at multiple levels. Thus, the high number of mutational targets that can lead to PhoE and ChiP overexpression, as compared with OmpG overexpression, presumably explains why OmpG upregulation was not observed in our evolution experiment. We focused on exponential growth rate as an output for fitness in our experimental set-up, and future studies are needed to examine the influence of PhoE and ChiP upregulation on other aspects of bacterial fitness. Even though ompCF double mutants are attenuated in vivo when given orally (Chatfield et al. 1991), the frequent occurrences of these mutants among clinical isolates document their clinical relevance. Furthermore, it is known that inactivation of the Pst system in E. coli can reduce virulence, leading to increased serum sensitivity, impaired capsular antigen display, as well as a reduced resistance toward acids and antimicrobial peptides (Harel et al. 1992; Ngeleka et al. 1992; Daigle et al. 1995; Lamarche et al. 2005). Similarly, mutations in the PhoR– PhoB two-component system that induce constitutive activation of Pho-regulated genes have been reported to reduce virulence in Agrobacterium tumefaciens (Mantis and Winans 1993) and Corynebacterium glutamicum (Kocan et al. 2006). Despite the negative effects on virulence, alterations in PhoE expression were observed in a pair of K. pneumoniae isolated from the same patient (Kaczmarek et al. 2006). One of the strains displayed high phoE expression and low resistance, while the other one displayed low phoE expression while maintaining high-level resistance. This provides strong evidence that compensatory evolution of uptake deficiencies does occur in clinical settings, and that the adaptive pathways presented in our study might be significant for the evolution of carbapenem-resistant, high-fitness strains in vivo. Materials and Methods wild-type strain (DA4201) and the resistance cassette was removed by FLP recombination using the plasmid pCP20. In a consecutive step, ompF was removed likewise, using E. coli MG1655ompC as a recipient. Other deletion mutants described in this study were constructed by P1 transduction from a corresponding clone from the Keio collection (Baba et al. 2006) and subsequent removal of the kanamycin cassette by introduction of pCP20 (Datsenko and Wanner 2000). Evolution Experiments Sixteen independent lineages of E. coli MG1655 ompCompF were grown overnight in 1 ml LB to full density. After 24 h, 1 ml (about 5 106 cells) of the culture was transferred into 1 ml fresh medium, allowing the growth of approximately 10 generations per serial passage. This procedure was repeated for 250 generations. Every 50 generations, a fraction of the overnight culture was saved at 80 C. At the end of the evolution experiment, each population was plated on LA to obtain individual clones and one clone of each lineage was saved at 80 C and characterized with respect to growth rate and resistance phenotype. Eight selected clones were subjected to genomic DNA isolation using the Genomic Tip 100 G DNA kit (Qiagen). Whole-genome sequencing of these clones was performed at Beijing Genome Institute, China, using Illumina sequencing technology. Determination of Exponential Growth Rate Three independent overnight cultures were diluted 1:1,000 in LB, corresponding to ~5 106 CFU/ml. Aliquots of three times 300 ml per dilution were transferred into BioscreenC plates (Oy Growth Curves Ab, Ltd). The samples were grown at 37 C with shaking for 18 h in a BioscreenC Analyzer and OD600 values were monitored every 4 min. The calculation of the maximum growth rates was based on OD600 values between 0.024 and 0.09, where growth was observed to be exponential. Relative growth rates were calculated by dividing the generation time of the sample by the generation time of the parental strain, usually DA4201, which was included in each individual experiment. Bacterial Strains and Growth Conditions Minimal Inhibitory Concentration Determination All strains used in this study were derived from E. coli MG1655 (DA4201) and are listed in supplementary table S1, Supplementary Material online. Unless otherwise indicated, bacteria were cultivated in LB for liquid growth and Lysogeny broth agar (LA) for growth on solid media at 37 C. When appropriate, liquid and solid media were supplemented with 12.5 mg/l chloramphenicol, 50 mg/l kanamycin, or 15 mM IPTG. The ompCF double knockout was constructed using lambda Red-mediated recombineering (Datsenko and Wanner 2000). For this, a chloramphenicol cassette flanked by FLP recombinase target sequences was PCR amplified from plasmid pKD3 (GenBank accession number AY048742.1). The primers carried overhangs of 35 nt homologous to the adjacent regions of ompC. After introduction of the chloramphenicol cassette, it was moved by P1 transduction into a The minimal inhibitory concentrations were determined using Etest strips (BioMerieux) according to the manufacturer’s recommendations. In brief, bacteria were grown overnight in Mueller–Hinton (MH) broth and diluted 1,000-fold before spreading on MH-agar plates. The Etest strips were placed onto the plate and the result was read after 20 h of incubation at 37 C. 3260 AP Assay The AP activity in the samples was measured using the colorimetric SensoLyte pNPP Alkaline Phosphatase Assay Kit (AnaSpec) according to the manufacturer’s recommendations. In brief, cells were grown overnight in 1-ml LB and washed twice with 500 ml 1 assay buffer. The cells were pelleted and dissolved in 150 ml 1 assay buffer with 3 ml Triton-X-100. After 10-min incubation at room temperature, MBE Fitness Costs of Antibiotic Resistance . doi:10.1093/molbev/msv195 the debris was pelleted and 50-ml supernatant was transferred to a 96-well plate. After addition of 50-ml pNPP, the samples were incubated for 60 min at room temperature and the absorbance at 405 nm was measured. An AP standard of known concentration was included to calculate the total activity of AP in the samples. For detection of AP activity in exponential growing cells, an overnight culture was diluted 1:500 in 20-ml prewarmed LB and grown until OD600 = 0.15. Two OD600 units (13.3 ml) were pelleted and used for subsequent AP detection. Values acquired from exponential phase cultures were multiplied by four to compensate for the difference in cell number compared with stationary phase cultures. The AP activity is presented as relative values compared with wild type (DA4201) in stationary phase. Isolation of Total RNA and Relative qRT-PCR Overnight cultures were diluted 1:500 in 20-ml prewarmed LB and incubated at 37 C until OD600 = 0.15. Three milliliters of the culture were added to 6-ml RNAprotect Bacteria Reagent (Qiagen). Total RNA was extracted using the RNeasy Mini Kit (Qiagen) according to the manufacturer’s recommendation. The total RNA extract was subjected to gel electrophoresis for quality control. Chromosomal DNA was removed using the DNase Turbo DNA-free kit (Ambion) according to the manufacturer’s recommendation. A total of 500 ng of DNA-free RNA was subjected to reverse transcription using the High Capacity Reverse Transcription kit (Applied Biosystems) according to the manufacturer’s instruction, in a total reaction volume of 50 ml. Relative cDNA levels were measured using PerfeCTa SYBR Green SuperMix (Quanta Biosciences) in an Eco Real-Time PCR System (Illumina). Each primer pair (supplementary table S2, Supplementary Material online) was tested for efficiency in a set of six 10-fold dilutions. The genes hcaT and cysG were used as reference genes in the calculations for relative expression. All measurements were repeated for three biological and three technical replicates in the form of undiluted 1:10 and 1:100 dilutions of the template. Outer Membrane Profiling Overnight cultures were diluted 1:500 into 20-ml prewarmed LB and incubated at 37 C until OD600 = 0.15. Two OD600 units (13.3 ml) were centrifuged for 15 min at 4,500 rpm. The pellet was suspended in 1 ml, 100-mM Tris–HCl, pH 8.0, 20% sucrose, and incubated on ice for 10 min. After centrifugation (10 min at 5,000 rpm) the pellet was suspended in 1 ml, 100-mM Tris–HCl, pH 8.0, 20% sucrose, 10-mM EDTA. Lysozyme was added to a final concentration of 100 mg/ml and incubated on ice for 10 min. MgSO4, DNaseI, and RNaseA were added to final concentrations of 20 mM, 5 mg/ml, and 5 mg/ml. The spheroplasts were disrupted by 7 freeze/thaw cycles in dry ice/ethanol and a room temperature water bath. The last thawing step was performed for 2 h on ice until the sample was completely fluid. The membranes were pelleted for 25 min at 15,000 rpm, washed in 500 ml, 20-mM NaPO4, pH 7, pelleted again for 15 min at 15,000 rpm and resuspended in 1 ml, 20-mM NaPO4, pH 7, 0.5% sarcosyl. After 30-min incubation at room temperature, the pellets were washed twice in 1 ml, 20-mM NaPO4, pH 7 and finally taken up in 60-ml Laemmli sample buffer. The samples were boiled 5 min at 95 C and subjected to sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE) (10% polyacrylamide/6 M urea). Protein bands were stained using colloidal coomassie and bands of interest were cut out for subsequent mass spectrometry (MS) analysis. In-Gel Digestion and Liquid Chromatography-MS Cut-out bands were subjected to in-gel tryptic digestion as described (Shevchenko et al. 2000). Briefly, the bands were divided into smaller fragments and after destaining they were subjected to reduction and alkylation using dithiothreitol and iodoactamide before trypsin (sequence grade, modified Promega, Madison, WI) was added at a concentration of 12.5 ng/ml. Digestion was performed over night at 37 C. Peptides were extracted from the gel using a solution composed of 60% acetonitrile (ACN), 5% formic acid (FA), and 35% MilliQ water and dried using a SpeedVac. Peptides were subsequently dissolved in 15 mL, 0.1% FA. The LC separation was carried out using a Thermo Easy-nano Liquid Chromatography instrument (ThermoFisher Scientific, Bremen, Germany). The sample injection volume was 5 mL and the column was a 10 cm 75 mm, C18-A2 column (Easy column; ThermoFisher Scientific) with a particle size of 3 mm and an H2O:ACN:FA solvent system (H2O, 0.1% FA mobile phase [A]; ACN, 0.1% FA mobile phase [B]) was used. Peptides were eluted using a gradient of mobile phases A and B up to 80% B during 35 min. An LTQ-Orbitrap Velos Pro Mass spectrometer (ThermoFisher Scientific) was used to acquire mass data. The MS was operating in positive ion mode and a survey spectrum of high resolution was used to detect the peptide mass. Thereafter consecutive collisionally induced dissociation spectra of the ten most abundant ions were recorded in the ion trap. The acquired data (.RAW files) were processed in the Proteome Discoverer 1.4 (Thermo Fisher Scientific) software toward proteins from E. coli in the SwissProt database. Common search parameters included the following: Maximum 10 ppm and 0.8 Da error tolerance for the survey scan and MS/MS analysis, respectively; enzyme specificity was trypsin; maximum two missed cleavage sites allowed; cysteine carbamidomethylation was set as static modification; oxidation (M) and deamidation (N,Q) were set as variable modifications. The search criteria for protein identification were set to at least two matching peptides of 95% confidence level per protein. Complementation Assays For growth complementation experiments, the wild-type and selected mutants were transformed with plasmids isolated from the ASKA library (Kitagawa et al. 2005) containing phoE, chiP, ompG, ompN, ompW, or an empty control plasmid pCA24N. After introduction of the plasmids into the strains, continuous selection with chloramphenicol ensured maintenance of the plasmid. Induction of expression was achieved by adding 15-mM IPTG. Higher amounts of IPTG had deleterious effects on growth rate. 3261 Knopp and Andersson . doi:10.1093/molbev/msv195 Supplementary Material Supplementary tables S1–S5 and figures S1 and S2 are available at Molecular Biology and Evolution online (http://www. mbe.oxfordjournals.org/). Acknowledgments This work was supported by grants from the Swedish Research Council and European Commission (project EvoTAR). The Science for Life Laboratory Mass Spectrometry Based Proteomics Facility in Uppsala performed the protein analysis and data storage was obtained and supported by Bioinformatics Infrastructure for Life Sciences. References Andersson DI, Hughes D. 2010. Antibiotic resistance and its cost: is it possible to reverse resistance? Nat Rev Microbiol 8:260–271. Andersson DI, Hughes D. 2011. Persistence of antibiotic resistance in bacterial populations. FEMS Microbiol Rev. 35:901–911. Andersson DI, Levin BR. 1999. The biological cost of antibiotic resistance. Curr Opin Microbiol. 2:489–493. Baba T, Ara T, Hasegawa M, Takai Y, Okumura Y, Baba M, Datsenko KA, Tomita M, Wanner BL, Mori H. 2006. Construction of Escherichia coli K-12 in-frame, single-gene knockout mutants: the Keio collection. Mol Syst Biol. 2:2006.0008. Baek JH, Lee SY. 2006. Novel gene members in the Pho regulon of Escherichia coli. FEMS Microbiol Lett. 264:104–109. Baker-Austin C, Wright MS, Stepanauskas R, McArthur JV. 2006. Coselection of antibiotic and metal resistance. Trends Microbiol. 14:176–182. Basle A, Rummel G, Storici P, Rosenbusch JP, Schirmer T. 2006. Crystal structure of osmoporin OmpC from E. coli at 2.0 A. J Mol Biol. 362:933–942. Battesti A, Majdalani N, Gottesman S. 2011. The RpoS-mediated general stress response in Escherichia coli. Annu Rev Microbiol. 65:189–213. Bredin J, Saint N, Mallea M, De E, Molle G, Pages JM, Simonet V. 2002. Alteration of pore properties of Escherichia coli OmpF induced by mutation of key residues in anti-loop 3 region. Biochem J. 363:521–528. Ceccarelli M, Danelon C, Laio A, Parrinello M. 2004. Microscopic mechanism of antibiotics translocation through a porin. Biophys J. 87:58–64. Charrel RN, Pages JM, De Micco P, Mallea M. 1996. Prevalence of outer membrane porin alteration in beta-lactam-antibioticresistant Enterobacter aerogenes. Antimicrob Agents Chemother. 40:2854–2858. Chatfield SN, Dorman CJ, Hayward C, Dougan G. 1991. Role of ompRdependent genes in Salmonella typhimurium virulence: mutants deficient in both ompC and ompF are attenuated in vivo. Infect Immun 59:449–452. Cowan SW, Garavito RM, Jansonius JN, Jenkins JA, Karlsson R, Konig N, Pai EF, Pauptit RA, Rizkallah PJ, Rosenbusch JP, et al. 1995. The structure of OmpF porin in a tetragonal crystal form. Structure 3:1041–1050. Cowan SW, Schirmer T, Rummel G, Steiert M, Ghosh R, Pauptit RA, Jansonius JN, Rosenbusch JP. 1992. Crystal structures explain functional properties of two E. coli porins. Nature 358:727–733. Criswell D, Tobiason VL, Lodmell JS, Samuels DS. 2006. Mutations conferring aminoglycoside and spectinomycin resistance in Borrelia burgdorferi. Antimicrob Agents Chemother. 50:445–452. Daigle F, Fairbrother JM, Harel J. 1995. Identification of a mutation in the pst-phoU operon that reduces pathogenicity of an Escherichia coli strain causing septicemia in pigs. Infect Immun. 63:4924-4927. Danelon C, Nestorovich EM, Winterhalter M, Ceccarelli M, Bezrukov SM. 2006. Interaction of zwitterionic penicillins with the OmpF channel facilitates their translocation. Biophys J. 90:1617–1627. 3262 MBE Datsenko KA, Wanner BL. 2000. One-step inactivation of chromosomal genes in Escherichia coli K-12 using PCR products. Proc Natl Acad Sci U S A. 97:6640–6645. Delcour AH. 2009. Outer membrane permeability and antibiotic resistance. Biochim Biophys Acta. 1794:808–816. Enne VI, Livermore DM, Stephens P, Hall LM. 2001. Persistence of sulphonamide resistance in Escherichia coli in the UK despite national prescribing restriction. Lancet 357:1325–1328. Fajardo DA, Cheung J, Ito C, Sugawara E, Nikaido H, Misra R. 1998. Biochemistry and regulation of a novel Escherichia coli K-12 porin protein, OmpG, which produces unusually large channels. J Bacteriol. 180:4452–4459. Ferenci T. 2005. Maintaining a healthy SPANC balance through regulatory and mutational adaptation. Mol Microbiol. 57:1–8. Fernandez L, Hancock RE. 2012. Adaptive and mutational resistance: role of porins and efflux pumps in drug resistance. Clin Microbiol Rev. 25:661–681. Figueroa-Bossi N, Valentini M, Malleret L, Fiorini F, Bossi L. 2009. Caught at its own game: regulatory small RNA inactivated by an inducible transcript mimicking its target. Genes Dev. 23:2004–2015. Gehring KB, Nikaido H. 1989. Existence and purification of porin heterotrimers of Escherichia coli K12 OmpC, OmpF, and PhoE proteins. J Biol Chem. 264:2810–2815. Guillier M, Gottesman S, Storz G. 2006. Modulating the outer membrane with small RNAs. Genes Dev. 20:2338–2348. Gullberg E, Albrecht LM, Karlsson C, Sandegren L, Andersson DI. 2014. Selection of a multidrug resistance plasmid by sublethal levels of antibiotics and heavy metals. MBio 5:e01918-01914. Gullberg E, Cao S, Berg OG, Ilback C, Sandegren L, Hughes D, Andersson DI. 2011. Selection of resistant bacteria at very low antibiotic concentrations. PLoS Pathog. 7:e1002158. Hajjar E, Mahendran KR, Kumar A, Bessonov A, Petrescu M, Weingart H, Ruggerone P, Winterhalter M, Ceccarelli M. 2010. Bridging timescales and length scales: from macroscopic flux to the molecular mechanism of antibiotic diffusion through porins. Biophys J. 98:569–575. Hall MN, Silhavy TJ. 1981. Genetic analysis of the major outer membrane proteins of Escherichia coli. Annu Rev Genet. 15:91–142. Han JS, Park JY, Lee YS, Thony B, Hwang DS. 1999. PhoBdependent transcriptional activation of the iciA gene during starvation for phosphate in Escherichia coli. Mol Gen Genet. 262:448–452. Harel J, Forget C, Ngeleka M, Jacques M, Fairbrother JM. 1992. Isolation and characterization of adhesin-defective TnphoA mutants of septicaemic porcine Escherichia coli of serotype O115:K-:F165. J Gen Microbiol. 138:2337–2345. Hsieh YJ, Wanner BL. 2010. Global regulation by the seven-component Pi signaling system. Curr Opin Microbiol. 13:198–203. Kaczmarek FM, Dib-Hajj F, Shang W, Gootz TD. 2006. High-level carbapenem resistance in a Klebsiella pneumoniae clinical isolate is due to the combination of bla(ACT-1) beta-lactamase production, porin OmpK35/36 insertional inactivation, and down-regulation of the phosphate transport porin phoe. Antimicrob Agents Chemother. 50:3396–3406. Kitagawa M, Ara T, Arifuzzaman M, Ioka-Nakamichi T, Inamoto E, Toyonaga H, Mori H. 2005. Complete set of ORF clones of Escherichia coli ASKA library (a complete set of E. coli K-12 ORF archive): unique resources for biological research. DNA Res. 12:291–299. Kocan M, Schaffer S, Ishige T, Sorger-Herrmann U, Wendisch VF, Bott M. 2006. Two-component systems of Corynebacterium glutamicum: deletion analysis and involvement of the PhoS-PhoR system in the phosphate starvation response. J Bacteriol. 188:724–732. Lamarche MG, Dozois CM, Daigle F, Caza M, Curtiss R 3rd, Dubreuil JD, Harel J. 2005. Inactivation of the pst system reduces the virulence of an avian pathogenic Escherichia coli O78 strain. Infect Immun. 73:4138–4145. Lamarche MG, Wanner BL, Crepin S, Harel J. 2008. The phosphate regulon and bacterial virulence: a regulatory network connecting Fitness Costs of Antibiotic Resistance . doi:10.1093/molbev/msv195 phosphate homeostasis and pathogenesis. FEMS Microbiol Rev. 32:461–473. Lenski RE. 1998. Bacterial evolution and the cost of antibiotic resistance. Int Microbiol. 1:265–270. Levin BR, Perrot V, Walker N. 2000. Compensatory mutations, antibiotic resistance and the population genetics of adaptive evolution in bacteria. Genetics 154:985–997. Maclean RC, Hall AR, Perron GG, Buckling A. 2010. The evolution of antibiotic resistance: insight into the roles of molecular mechanisms of resistance and treatment context. Discov Med. 10:112–118. Mandin P, Gottesman S. 2009. A genetic approach for finding small RNAs regulators of genes of interest identifies RybC as regulating the DpiA/DpiB two-component system. Mol Microbiol. 72:551–565. Mantis NJ, Winans SC. 1993. The chromosomal response regulatory gene chvI of Agrobacterium tumefaciens complements an Escherichia coli phoB mutation and is required for virulence. J Bacteriol. 175:6626–6636. Misra R, Benson SA. 1989. A novel mutation, cog, which results in production of a new porin protein (OmpG) of Escherichia coli K-12. J Bacteriol. 171:4105–4111. Mizuno T, Mizushima S. 1987. Isolation and characterization of deletion mutants of ompR and envZ, regulatory genes for expression of the outer membrane proteins OmpC and OmpF in Escherichia coli. J Biochem. 101:387–396. Ngeleka M, Harel J, Jacques M, Fairbrother JM. 1992. Characterization of a polysaccharide capsular antigen of septicemic Escherichia coli O115:K “V165” :F165 and evaluation of its role in pathogenicity. Infect Immun. 60:5048–5056. Nikaido H, Rosenberg EY. 1983. Porin channels in Escherichia coli: studies with liposomes reconstituted from purified proteins. J Bacteriol. 153:241–252. Overgaard M, Johansen J, Moller-Jensen J, Valentin-Hansen P. 2009. Switching off small RNA regulation with trap-mRNA. Mol Microbiol. 73:790–800. Panja S, Schu DJ, Woodson SA. 2013. Conserved arginines on the rim of Hfq catalyze base pair formation and exchange. Nucleic Acids Res. 41:7536–7546. Paulander W, Maisnier-Patin S, Andersson DI. 2009. The fitness cost of streptomycin resistance depends on rpsL mutation, carbon source and RpoS (sigmaS). Genetics 183:539–546, 531SI–532SI. Plumbridge J, Bossi L, Oberto J, Wade JT, Figueroa-Bossi N. 2014. Interplay of transcriptional and small RNA-dependent control mechanisms regulates chitosugar uptake in Escherichia coli and Salmonella. Mol Microbiol. 92:648–658. Prilipov A, Phale PS, Koebnik R, Widmer C, Rosenbusch JP. 1998. Identification and characterization of two quiescent porin genes, nmpC and ompN, in Escherichia coli BE. J Bacteriol. 180:3388–3392. Ramadhan AA, Hegedus E. 2005. Survivability of vancomycin resistant enterococci and fitness cost of vancomycin resistance acquisition. J Clin Pathol. 58:744–746. Rasmussen AA, Johansen J, Nielsen JS, Overgaard M, Kallipolitis B, Valentin-Hansen P. 2009. A conserved small RNA promotes silencing of the outer membrane protein YbfM. Mol Microbiol. 72:566–577. Ruiz N, Silhavy TJ. 2003. Constitutive activation of the Escherichia coli Pho regulon upregulates rpoS translation in an Hfq-dependent fashion. J Bacteriol. 185:5984–5992. MBE Sarma V, Reeves P. 1977. Genetic locus (ompB) affecting a major outermembrane protein in Escherichia coli K-12. J Bacteriol. 132:23–27. Schulz zur Wiesch P, Engelstadter J, Bonhoeffer S. 2010. Compensation of fitness costs and reversibility of antibiotic resistance mutations. Antimicrob Agents Chemother. 54:2085–2095. Shevchenko A, Chernushevich I, Wilm M, Mann M. 2000. De Novo peptide sequencing by nanoelectrospray tandem mass spectrometry using triple quadrupole and quadrupole/time-of-flight instruments. Methods Mol Biol. 146:1–16. Shi W, Li K, Ji Y, Jiang Q, Wang Y, Shi M, Mi Z. 2013. Carbapenem and cefoxitin resistance of Klebsiella pneumoniae strains associated with porin OmpK36 loss and DHA-1 beta-lactamase production. Braz J Microbiol. 44:435–442. Simonet V, Mallea M, Pages JM. 2000. Substitutions in the eyelet region disrupt cefepime diffusion through the Escherichia coli OmpF channel. Antimicrob Agents Chemother. 44:311–315. Spira B, de Almeida Toledo R, Maharjan RP, Ferenci T. 2011. The uncertain consequences of transferring bacterial strains between laboratories—rpoS instability as an example. BMC Microbiol. 11:248. Subbarao GV, van den Berg B. 2006. Crystal structure of the monomeric porin OmpG. J Mol Biol. 360:750–759. Suziedeliene E, Suziedelis K, Garbenciute V, Normark S. 1999. The acidinducible asr gene in Escherichia coli: transcriptional control by the PhoBR operon. J Bacteriol. 181:2084–2093. Taschner NP, Yagil E, Spira B. 2004. A differential effect of sigmaS on the expression of the PHO regulon genes of Escherichia coli. Microbiology 150:2985–2992. Tsai YL, Wang MC, Hsueh PR, Liu MC, Hu RM, Wu YJ, Liaw SJ. 2015. Overexpression of an outer membrane protein associated with decreased susceptibility to carbapenems in Proteus mirabilis. PLoS One 10:e0120395. Valentin-Hansen P, Johansen J, Rasmussen AA. 2007. Small RNAs controlling outer membrane porins. Curr Opin Microbiol. 10:152–155. VanBogelen RA, Olson ER, Wanner BL, Neidhardt FC. 1996. Global analysis of proteins synthesized during phosphorus restriction in Escherichia coli. J Bacteriol. 178:4344–4366. Vershinina OA, Znamenskaia LV. 2002. The Pho regulons of bacteria. Mikrobiologiia 71:581–595. Vogel J, Papenfort K. 2006. Small non-coding RNAs and the bacterial outer membrane. Curr Opin Microbiol. 9:605–611. Wang YF, Dutzler R, Rizkallah PJ, Rosenbusch JP, Schirmer T. 1997. Channel specificity: structural basis for sugar discrimination and differential flux rates in maltoporin. J Mol Biol. 272:56–63. Yamada J, Yamasaki S, Hirakawa H, Hayashi-Nishino M, Yamaguchi A, Nishino K. 2010. Impact of the RNA chaperone Hfq on multidrug resistance in Escherichia coli. J Antimicrob Chemother. 65:853–858. Yates CM, Shaw DJ, Roe AJ, Woolhouse ME, Amyes SG. 2006. Enhancement of bacterial competitive fitness by apramycin resistance plasmids from non-pathogenic Escherichia coli. Biol Lett. 2:463–465. Zhang A, Schu DJ, Tjaden BC, Storz G, Gottesman S. 2013. Mutations in interaction surfaces differentially impact E. coli Hfq association with small RNAs and their mRNA targets. J Mol Biol. 425:3678–3697. Zhang A, Wassarman KM, Rosenow C, Tjaden BC, Storz G, Gottesman S. 2003. Global analysis of small RNA and mRNA targets of Hfq. Mol Microbiol. 50:1111–1124. Ziervogel BK, Roux B. 2013. The binding of antibiotics in OmpF porin. Structure 21:76–87. 3263
© Copyright 2026 Paperzz