Skip to main content
Download PDF
  • Research article
  • Open access
  • Published:

Relation between tetR and tetA expression in tetracycline resistant Escherichia coli

BMC Microbiology volume 16, Article number: 39 (2016) Cite this article

Abstract

Background

Tetracyclines are among the most used antibiotics in livestock worldwide. Resistance is widely disseminated in Escherichia coli, where it is generally mediated by tetracycline efflux pumps, such as TetA. Expression of tetracycline efflux pumps is tightly controlled by the repressor TetR, which has been shown to be tetracycline-responsive at sub-MIC tetracycline concentrations. The objective of this study was to investigate the effects of increasing tetracycline concentrations on the growth of TetA-producing E. coli, and to determine how expression of tetA and tetR related to each other in different growth phases in the presence of tetracycline.

Results

A tetracycline resistant E. coli strain containing tetA and tetR on the chromosome was constructed and cultured in the presence of increasing concentrations of tetracycline. Expression of tetR and tetA was measured at four time points in different growth phases by quantitative real-time PCR. The TetA-producing E. coli exhibited prolonged lag phase with increasing concentrations of tetracycline, while expression of tetA and tetR increased and decreased, respectively, with increasing tetracycline concentration. The levels of tetA and tetR mRNA varied depending on growth phase, resulting in a gradual decrease of the tetA/tetR ratio from approximately 4 in the lag phase to approximately 2 in the stationary phase.

Conclusion

This study shows that the expression of tetR and tetA is tetracycline concentration- and growth phase-dependent, contributing to improved understanding of the relationships between E. coli growth, tetracycline exposure and expression of tetracycline resistance.

Background

Tetracyclines exert their bacteriostatic activity by binding to the bacterial ribosome and thereby interfering with protein translation [1]. Over the years, the prevalence of tetracycline resistance has increased in bacteria isolated from both human patients [2, 3] and animals [4]. In a study performed by Tadesse et al. it was shown that the prevalence of tetracycline resistance in Escherichia coli isolates from humans increased by 0.45 % per year from 1950 to 2001 [5]. As a consequence of the spread of tetracycline resistance and the introduction of newer and more effective antimicrobial agents, the use of tetracylines in human medicine has gradually decreased. However, tetracyclines remain among the most used antibiotics in livestock production worldwide [6]. In the European Union, they account for 37 % of the total sales of antimicrobial agents for livestock [7] and a significant association has been observed at the country level between tetracycline consumption and occurrence of tetracycline resistance among E. coli isolated from livestock [8].

More than 40 genes encoding tetracycline resistance (tet-genes) have been characterized to date and they are divided into 11 classes, with a majority of classes (60 %) encoding for membrane-associated efflux proteins [9–11]. These efflux pumps selectively transport tetracycline from the cytosol to the periplasm in exchange of a proton, thereby limiting the access of tetracycline to the ribosomes in the cell [12]. They are proton motive force-dependent, single polypeptide, drug specific efflux pumps, which belong to the major facilitator superfamily [12, 13]. The flow of protons through the pump provides the required energy to pump the antibiotic to the periplasm [9, 14]. In E. coli, tet-resistance efflux pumps are among the best characterized transport systems [12]. Studies from selected parts of the United States of America list TetA as the second most frequent tetracycline resistance efflux pump in both human and animal isolates [15]. TetA is also the most common tetracycline efflux pump type found in clinical as well as commensal isolates of E. coli in animals from Denmark [4].

Expression of TetA efflux pump is controlled through a tetracycline-responsive repressor, TetR, which tightly regulates the tetA mRNA expression [16, 17]. Studies performed in the 1960-80s with sub-inhibitory (i.e. below the minimum inhibitory concentration, MIC) concentrations of tetracycline and derivatives thereof [18–23] led to a widely accepted model for tetR and tetracycline efflux pump gene regulation proposed by Hillen and Berens [24]. According to this model, tetracycline induces transcription of both the tetR and the tetracycline efflux pump gene by binding to TetR (Fig. 1) [24–26]. Repression by TetR must be tight, because constitutive expression of the efflux pump strongly reduces bacterial fitness [27]. It has never been determined how tetR and the tetracycline efflux pump gene expression varies over a range of tetracycline concentrations, and whether the model description of regulation at low tetracycline concentrations fits tetracycline resistant E. coli that are faced with fighting therapeutic concentrations of the antibiotic. The aim of the current study was to investigate the growth response of TetA-producing E. coli over a wide range of tetracycline concentrations and to determine how tetA and tetR expression were influenced by tetracycline concentrations and growth phase.

Fig. 1
figure 1

TetR-tetA regulation model. Genetic organisation and mechanism of regulation of the Tn10-encoded tetracycline resistance determinant as proposed by Hillen and Berens [24]. The upper part of the figure describes processes occurring at the cytoplasmic membrane, while the lower part shows a schematic drawing of the genetic organisation and induction of the tetR and tetA genes. Tetracycline (tc) is assumed to enter the outer membrane by porins [1, 46]. The [tc · Mg]+ complex is formed, however it can dissociate and tetracycline can enter the cell by diffusion across the cytoplasmic membrane in its neutral form (middle). In the cytoplasm the [tc · Mg]+ complex is formed again. The same complex, indicated by triangles, is the molecular inducer of the Tet repressor (circles), encoded by tetR (thick grey arrow, bottom). TetR forms a dimer and binds to the two tandem tet operators O1 and O2 located between tetA and tetR in the absence of tetracycline. The genes have divergent polarities and are transcribed from overlapping promoters. When tetracycline is present, the [tc · Mg]+ complex binds to the TetR repressor-operator complex and triggers a conformational change in TetR so that it can no longer bind to the tet-operators, enforcing rapid dissociation from the DNA, enabling transcription of tetR and tetA (bottom, center). The [tc · Mg]+ complex is the substrate of the proton-tetracycline antiporter (TetA pump) which is indicated by its 12-α-helix membrane spanning structure. Modified from [9, 24]

Full size image

Methods

Bacterial strain construction

Bacteria and plasmids used in this study are listed in Table 1. The tetA gene and its repressor tetR isolated from an IncN plasmid obtained from E. coli of sow origin [28] were cloned into the pseudo gene ybeM [29] on the chromosome of E. coli K-12 MG1655, resulting in strain MG1655/TetA. The tetA and tetR genes were cloned into the chromosome of a laboratory E. coli strain to avoid problems related to the plasmid (e.g. other resistance genes encoded on the plasmid) and gene copy number. The Lambda Red recombination system was used to construct the strain, as described previously [30–32]. Sequences of oligonucleotides used for PCR verifications and Lambda Red mediated mutagenesis are listed in Table 2. Insertions were confirmed by PCR and sequencing using standard procedures. The strain was maintained in Difco™ Lysogeny broth (LB), Lennox (Becton, Dickinson and Company, Albertslund, Denmark) and on LB agar plates (Becton, Dickinson and Company, Albertslund, Denmark). The media were supplemented with tetracycline (10 μg/mL) (Sigma, Copenhagen, Denmark) when appropriate.

Table 1 Bacterial strains and plasmids used in this study
Full size table
Table 2 Oligonucletide sequences for PCR based amplification and sequencing
Full size table

Antimicrobial susceptibility testing

The broth microdilution method was used to determine the MIC of tetracycline following the CLSI guidelines [33]. The tetracycline concentrations tested ranged from 0 to 1024 μg/mL by two-fold dilution increase. In addition, MIC determination was performed using serial increases of 2 μg/mL of tetracycline in the range close to the observed MIC to obtain a value as close to the real MIC as possible. Furthermore, MIC experiments with spent media containing tetracycline (MG1655/TetA incubated in MH-2 with 8 μg/mL tetracycline for 15 hours at 37 °C, centrifuged and filter sterilised) and media with tetracycline (MH-2 with 8 μg/mL tetracycline incubated for 15 hours at 37 °C) were performed using the same method to test for drug degradation and destruction.

Growth conditions

A BioScreen CTM was used to perform growth experiments for 24 hours at 37 °C in biological triplicates. A volume of 200 μL Müller-Hinton-II (MH-2) broth (Sigma, Copenhagen, Denmark) was inoculated with cells from blood agar plates (blood agar base (Oxoid, Roskilde, Denmark) supplemented with 5 % blood from cattle) to a final cell density of 106 cfu/mL, using a Sensititre™ Nephelometer (Thermo Scientific™, Roskilde, Denmark) with a McFarland 0.5 standard (1–2 x 108 cfu/mL). The cultures were supplemented with tetracycline (ranging from 0 to 128 μg/mL by two-fold dilutions). Optical density (OD, recorded with 600 nm filter) was measured every 5 minutes keeping bacterial cultures under continuous shaking. The specific maximum growth rate at different tetracycline concentrations was calculated. For expression studies, the strain was grown in 100 mL of MH-2 broth in 250 mL flasks at 37 °C and 225 rpm. The medium was supplemented with three different concentrations of tetracycline representing 1/8 MIC (3.5 μg/mL), ¼ MIC (7 μg/mL) and ½ MIC (14 μg/mL) of the strain and inoculated with a preculture grown for 2 hours at 37 °C and 225 rpm using the method described above. The tetracycline concentrations represent therapeutic concentrations, according to published pharmacokinetics data [34]. Although it has been shown that tetracycline in water solution is stable for 3 days at 37 °C [35], and approximately 5 % tetracycline is degraded after 2 days at 40 °C [36], we ensured that the late growth onset in our growth studies was not due to degradation of tetracycline by using an E. coli reference strain (ATCC 25922) with a MIC of tetracycline of 2 μg/mL [37]. E. coli ATCC 25922 was grown with the same tetracycline concentrations as used for the tetracycline resistant strain and MIC values were determined using spent media.

RNA extraction

Samples for RNA extraction were collected at four different time points during in vitro growth; the lag phase (OD600nm = 0.1-0.2), the logarithmic phase (OD600nm = 0.5-0.6), the late logarithmic phase (OD600nm = 1-1.3) and the stationary phase (OD600nm = 3.3-4.6). Sampling, RNA extraction, DNase treatment and reverse transcription were performed as previously described [38].

Quantitative real time polymerase chain reaction

Quantitative real time polymerase chain reaction (qPCR) was performed using a LightCycler 96 (Roche, Hvidovre, Denmark) as described previously [38]. Primers are listed in Table 2. The genes gapA and nusG were used as reference genes according to previous validation experiments [38]. Relative gene expression (fold change) was calculated compared to the lag phase sample of strain MG1655/TetA without antibiotics. Two independent biological replicates were performed using two technical replicates and the 2-∆∆Ct method, corrected by different primer efficiencies and multiple reference genes was used [39].

Statistical analysis

Statistical analysis was performed as previously described [38]. Briefly, the differences in the normalised qPCR measurements between the tetracycline concentrations within each growth phase were compared by differences in least square means using analysis of variance. The Mixed procedure in SAS version 9.3 (SAS Institute, Cary, USA) was used and differences in least square means estimates were evaluated with an approximate t-test using the LSmeans-function. Differences between tetracycline concentrations and growth phases were evaluated by F-tests, and a P value < 0.05 was deemed statistically significant. To correct for multiple comparisons of the differences in the least-squares means, the Benjamini–Hockberg ‘false discovery rate’ (FDR) was used [40].

Results and Discussion

Lag phase duration increases in the presence of tetracycline in a concentration-dependent manner

The MIC of tetracycline for MG1655/TetA was 28 ± 2 μg/mL. Using a definition of lag phase as the time necessary to reach an OD600nm of 0.1, the lag phase length increased when the tetracycline concentration was above 2 μg/mL (Figure 2 and Additional file 1: Table S1). The lag phase length increased from 4.28 ± 0.10 hours at 4 μg/mL tetracycline to 18.17 ± 3.67 hours at 16 μg/mL tetracycline. In accordance with the MIC value, MG1655/TetA did not grow at tetracycline concentrations above 16 μg/mL (Fig. 2). The ATCC 25922 reference strain did not display growth at tetracycline concentrations other than 0 μg/mL and 0.5 μg/mL (data not shown). With 0.5 μg/mL of tetracycline, the control strain started to grow after 19 hours. No growth was observed above the MIC of the reference strain (2 μg/mL) [37]. Furthermore, MIC experiments with spent media containing tetracycline and media incubated with tetracycline were performed, and the reference strain showed the same MIC towards tetracycline as using fresh tetracycline. These experiments show that the tetracycline did not degrade during the growth experiment, and that the prolonged lag phase observed in the experiment was not attributable to drug degradation. A possible explanation to the long lag phases observed in the presence of tetracycline is that the levels of tetracycline need to be below a certain threshold in the cytosol before growth can initiate. Based on the results of this experiment, the time to reach this threshold level appears to be tetracycline concentration-dependent. It is speculated that tetracycline concentrations up to a certain level could be dealt with by increasing the numbers of TetA pumps in the membrane as the lag phase was unchanged. Then a maximum level of pumps was reached, and the lag phase increased as there presumably were too few TetA pumps to deal with the high tetracycline concentration.

Fig. 2
figure 2

Growth curves of the TetA-producing E. coli strain at different concentrations of tetracycline. E. coli MG1655 containing tetR and tetA on the chromosome (MG1655/TetA). The strain was grown in MH-2 broth with different concentrations of tetracycline (TET) on a BioScreen CTM. No growth was observed for the three highest concentrations tested. Three independent replicates were performed; the data shown represents the mean and dots represent standard deviations

Full size image

The maximum specific growth rate of the strain decreased with increasing tetracycline concentrations (Additional file 1: Table S1), showing that increased tetracycline concentrations resulted in slower growth. However, this could not account for the increased lag phase. Since the concentrations we have investigated are within the range of those achieved during therapy [34], these observations indicate that even in tetracycline-resistant strains growth is delayed during therapy. A recent model study of growth kinetics of tetracycline-resistant strains during therapy in the gut of post weaning pigs showed that resistant strains having a 10 % reduction in the growth rate still could colonize and remain in the gut in a stable manner despite this disadvantage [41].

Expression of tetR mRNA is tetracycline concentration- and growth phase-dependent

The mRNA levels of tetR were significantly higher in samples with the presence of tetracycline compared to the absence of tetracycline (Fig. 3). A significant 3 to 25 fold increase was observed in the mRNA when the strain was exposed to 3.5 μg/mL of tetracycline in the different growth phases (adjusted P-values: 0.019 in lag phase, 0.002 in log phase, 0.005 in late log phase and 0.001 in stationary phase). Significantly lower tetR mRNA levels occurred when the strain was exposed to 7 μg/mL or 14 μg/mL of tetracycline, even though they were significantly higher than the levels observed in absence of tetracycline (Fig. 3). The decrease in expression with increasing tetracycline concentrations was observed in all growth phases, except in the lag phase. The decrease in the mRNA level was significant between the samples with 3.5 and 14 μg/mL tetracycline in the logarithmic and late logarithmic phase (adjusted P-values: 0.023 and 0.029, respectively). All statistically significant P-values of the observed differences are listed in Additional file 1: Table S2. Overall, expression of tetR was shown to be tetracycline concentration-dependent. The observed fluctuations of tetR mRNA levels in cells exposed to different concentrations of tetracycline represent valuable knowledge when considering new treatment strategies for tetracycline resistant E. coli strains. When treating infections with tetracycline-resistant bacteria, it may not always be optimal to increase the tetracycline concentration as the tetR mRNA level will decrease, and thereby affect the tetA mRNA level (see below).

Fig. 3
figure 3

Relative changes in tetR mRNA levels. tetR mRNA profile of E. coli MG1655 containing tetA and tetR on the chromosome (MG1655/TetA). Growth was performed in MH-2 broth without and with tetracycline at different concentrations. Two independent replicates including two technical replicates each were performed; the data shown represents the mean. The data have been normalised to two validated reference genes, gapA and nusG, and are relative to the tetR mRNA level in the lag phase with no antibiotics. The error bars represent standard deviations

Full size image

Expression of tetR at a specific tetracycline concentration varied depending on growth phase (Fig. 3). The level of tetR mRNA in MG1655/TetA increased from lag to stationary phase at all concentrations tested. Statistically significant increases in the tetR mRNA level were observed from logarithmic to stationary phase when the strain was exposed to 7 μg/mL or 14 μg/mL of tetracycline (adjusted P-values: 0.026 and 0.025, respectively, see Additional file 1: Table S2).

Expression of tetA mRNA is also tetracycline- and growth phase-dependent

Expression of tetA increased significantly when tetracycline was present (Fig. 4), which is in accordance with the previously described tetR-tetA regulation model [24]. Significant tetA mRNA level increments were observed in the presence of tetracycline regardless of growth phase (Additional file 1: Table S3). The tetA mRNA level showed a tendency to increase with increasing concentrations of tetracycline in the lag, logarithmic and late logarithmic growth phases. Significant P-values for tetracycline concentration-dependency are listed in Additional file 1: Table S3. These results confirm that tetA expression is dependent on the presence of tetracycline and influenced by the drug concentration. Despite several attempts by us to determine the TetA protein levels in the strain by selected-reaction-monitoring mass spectrometry (SRM-MS), it failed because the TetA protein could not be specifically detected (methods and data not shown). Similarly, western blot experiments could not be performed as TetA could not be overproduced in order to get enough purified protein to produce specific antibodies. When TetA overproduction was attempted by induction of a His-tagged or glutathione S-transferase-tagged tetA with IPTG, to facilitate purification, bacterial cell viability was lost (data not shown), which is in accordance with previous observations by Eckert et al. 247 Therefore it is currently unknown whether high tetA mRNA levels lead to proportionally high levels of TetA pumps. Assuming a positive correlation, the results indicate that exposing tetracycline resistant E. coli to high tetracycline concentrations will result in an increased tetA mRNA level and therefore a higher number of TetA pumps.

Fig. 4
figure 4

Relative changes in tetA mRNA levels. tetA mRNA profile of E. coli MG1655 containing tetA and tetR on the chromosome (MG1655/TetA). The strain was grown in MH-2 broth without and with tetracycline at different concentrations. Two independent replicates including two technical replicates each were performed; the data shown represents the mean. The data have been normalised to two validated reference genes, gapA and nusG, and are relative to the tetA mRNA level in the lag phase with no antibiotics. The error bars represent standard deviations

Full size image

The tetA mRNA levels also varied according to growth phase with different patterns depending on the presence of tetracycline (Fig. 4). A decrease in tetA mRNA was observed from lag to stationary phase in the absence of tetracycline. In the presence of fixed concentrations of tetracycline, the level of tetA mRNA increased from lag to logarithmic phase (except in the logarithmic phase at 3.5 μg/mL tetracycline) and stabilised in the late logarithmic phase. In the stationary phase, the tetA mRNA level was approximately twice of that observed in the late logarithmic growth phase regardless of the drug concentration to which the strain was exposed. Significant P-values for growth phase dependency can be found in Additional file 1: Table S3.

tetA/tetR mRNA ratio

To observe more clearly how the mRNA level of tetA related to tetR expression, the tetA/tetR ratio was calculated (Fig. 5). In all growth phases except the lag phase, the tetA/tetR mRNA ratio was low in absence of tetracycline, indicating low mRNA level of tetA compared to tetR. This corroborates the model assumption that TetR needs to be produced to block the expression of tetA. When the strain was exposed to any of the tetracycline concentrations used, which are above previously tested concentrations, the tetA/tetR ratio increased markedly, showing that much more tetA mRNA was present compared to tetR mRNA, and this was especially observed in the lag phase, where the tetA/tetR ratio was in the range of 3.5-4.5 fold. Furthermore, the tetA/tetR ratio was tetracycline concentration-dependent with higher tetA/tetR mRNA ratios at higher drug concentrations in all growth phases.

Fig. 5
figure 5

tetA/tetR mRNA ratio. tetA/tetR mRNA ratios were calculated for each biological replicate. The error bars represent standard deviations

Full size image

It is known that the TetR repressor protein has a 2-fold higher affinity for the tetA proximal operator O2 site compared to the tetR proximal operator O1 site [42]. This can explain why much lower tetA/tetR mRNA ratios were observed in the absence of tetracycline induction. In the model, tetracycline binds to Mg2+, and these complexes bind to TetR dimers and cause a conformational change that makes the TetR protein unable to bind to the operator sites O1 and O2. This turns on the expression of both tetA and tetR in a tetracycline-dependent manner. In a previous study the tetA promoter was found to be about four times as strong as the two overlapping tetR promoters together [43]. Another study performed by Daniels et al. showed that the tetA promoter was 7–11 fold more active than the tetR promoters combined [44]. A stronger tetA promoter corresponds well with the rise in tetA/tetR mRNA ratios in our studies with increasing concentrations of tetracycline in the lag phase.

A tetracycline concentration-dependent change in tetA/tetR mRNA ratio was found between growth phases with a decrease from onset of growth to maximum growth rate. We speculate that once growth is in the exponential phase, each cell contains the maximum level of TetA pumps in the membrane. This facilitates that enough tetracycline is pumped out to reach a critical concentration below which TetR is again free to bind the operator sites. TetR preferably binds to O2, which results in blocking the transcription of tetA but not of tetR [45]. This explain the increase in tetR mRNA from lag to logarithmic phase, the constant tetA mRNA level in lag, logarithmic and late logarithmic phase (Figs. 3 and 4, respectively), and the lowered tetA/tetR mRNA ratios in the logarithmic, late logarithmic and stationary growth phases compared to the lag phase (Fig. 5). The highest tetA and tetR mRNA levels were observed at stationary phase in the presence of tetracycline. However, interpretation of transcriptional regulation from stationary growth phase cultures should be done with caution due to the cell complexity with a mixture of cells in different physiological phases.

Conclusions

This study shows that a tetracycline resistant TetA-producing E. coli exhibited prolonged lag phase with increasing concentrations of tetracycline. This suggests that even tetracycline-resistant strains are growth-detained in the presence of tetracycline, likely due to the time needed to express the resistance genes and export tetracycline out of the cell. The expression of tetA and tetR increased and decreased, respectively, with increasing tetracycline concentration. Furthermore, expression of tetA and tetR was shown to be growth phase-dependent, and specifically increased from lag to stationary phase in the presence of tetracycline. However, such a growth-dependent increase was not proportional for the two genes, resulting in a gradual decrease of the tetA/tetR mRNA ratio from lag to stationary phases. The basic observations behind the tetR-tetA regulation model [24], the affinity studies and promoter strength studies [42, 44] previously used to explain regulation of TetA production at low concentrations of tetracycline also seem to be applicable to the data obtained in the current study, which shows that the tetracycline regulation model also applies at therapeutic tetracycline concentrations. Altogether these results contribute to improve understanding of the relationships between E. coli growth, exposure to tetracycline and expression of tetracycline resistance.

References

  1. Roberts MC. Tetracycline resistance determinants: mechanisms of action, regulation of expression, genetic mobility, and distribution. FEMS Microbiol Rev. 1996;19:1–24.

    Article  CAS  PubMed  Google Scholar 

  2. Coenen S, Adriaenssens N, Versporten A, Muller A, Minalu G, et al. European Surveillance of Antimicrobial Consumption (ESAC): outpatient use of tetracyclines, sulphonamides and trimethoprim, and other antibacterials in Europe (1997–2009). J Antimicrob Chemother. 66;vi5:vi70.

  3. Chopra I, Roberts M. Tetracycline antibiotics: mode of action, applications, molecular biology, and epidemiology of bacterial resistance. Microbiol Mol Biol Rev. 2001;65:232–60.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Sengelov G, Halling-Sorensen B, Aarestrup FM. Susceptibility of Escherichia coli and Enterococcus faecium isolated from pigs and broiler chickens to tetracycline degradation products and distribution of tetracycline resistance determinants in E. coli from food animals. Vet Microbiol. 2003;95:91–101.

    Article  CAS  PubMed  Google Scholar 

  5. Tadesse DA, Zhao S, Tong E, Ayers S, Singh A, et al. Antimicrobial drug resistance in Escherichia coli from humans and food animals, United States, 1950–2002. Emerg Infect Dis. 2012;18:741–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Pagel S, Gautier P. Use of antimicrobial agents in livestock. Revue scientifique et technique (International Office of Epizootics). 2012;31:145–88.

    CAS  Google Scholar 

  7. European Medicines Agency. European Surveillance of Veterinary Antimicrobial Consumption, 2013. Sales of veterinary antimicrobial agents in 25 EU/EEA countries in 2011 (EMA/236501/2013).

  8. Authority E. ECDC/EFSA/EMA first joint report on the integrated analysis of the consumption of antimicrobial agents and occurrence of antimicrobial resistance in bacteria from humans and food-producing animals. EFSA J. 2015;13(1):4006.

    Google Scholar 

  9. Schnappinger D, Hillen W. Tetracyclines: antibiotic action, uptake, and resistance mechanisms. Arch Microbiol. 1996;165:359–69.

    Article  CAS  PubMed  Google Scholar 

  10. Zhang T, Wang CG, Lv JC, Wang RS, Zhong XH. Survey on tetracycline resistance and antibiotic-resistant genotype of avian Escherichia coli in North China. Poult Sci. 2012;91:2774–7.

    Article  CAS  PubMed  Google Scholar 

  11. Adelowo O, Fagade O. The tetracycline resistance gene tet39 is present in both Gram‐negative and Gram‐positive bacteria from a polluted river, Southwestern Nigeria. Lett Appl Microbiol. 2009;48:167–72.

    Article  CAS  PubMed  Google Scholar 

  12. Li XZ, Nikaido H. Efflux-mediated drug resistance in bacteria. Drugs. 2004;64:159–204.

    Article  CAS  PubMed  Google Scholar 

  13. Poole K. Efflux pumps as antimicrobial resistance mechanisms. Ann Med. 2007;39:162–76.

    Article  CAS  PubMed  Google Scholar 

  14. Thaker M, Spanogiannopoulos P, Wright GD. The tetracycline resistome. Cell Mol Life Sci. 2010;67:419–31.

    Article  CAS  PubMed  Google Scholar 

  15. Bryan A, Shapir N, Sadowsky MJ. Frequency and distribution of tetracycline resistance genes in genetically diverse, nonselected, and nonclinical Escherichia coli strains isolated from diverse human and animal sources. Appl Environ Microbiol. 2004;70:2503–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Saenger W, Orth P, Kisker C, Hillen W, Hinrichs W. The tetracycline repressor - A paradigm for a biological switch. Angew Chem Int Ed Engl. 2000;39:2042–52.

    Article  PubMed  Google Scholar 

  17. Orth P, Schnappinger D, Hillen W, Saenger W, Hinrichs W. Structural basis of gene regulation by the tetracycline inducible Tet repressor-operator system. Nat Struct Biol. 2000;7:215–9.

    Article  CAS  PubMed  Google Scholar 

  18. Beck CF, Mutzel R, Barbe J, Muller W. A multifunctional gene (tetR) controls Tn10-encoded tetracycline resistance. J Bacteriol. 1982;150:633–42.

    CAS  PubMed  PubMed Central  Google Scholar 

  19. Levy SB, McMurry L. Detection of an inducible membrane protein associated with R-factor-mediated tetracycline resistance. Biochem Biophys Res Commun. 1974;56:1060–8.

    Article  CAS  PubMed  Google Scholar 

  20. Yang HL, Zubay G, Levy SB. Synthesis of an R plasmid protein associated with tetracycline resistance is negatively regulated. Proc Natl Acad Sci U S A. 1976;73:1509–12.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Izaki K, Kiuchi K, Arima K. Specificity and mechanism of tetracycline resistance in a multiple drug resistant strain of Escherichia coli. J Bacteriol. 1966;91:628–33.

    CAS  PubMed  PubMed Central  Google Scholar 

  22. Franklin T. Resistance of Escherichia coli to tetracyclines. Changes in permeability to tetracyclines in Escherichia coli bearing transferable resistance factors. Biochem J. 1967;105:371–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Hillen W, Gatz C, Altschmied L, Schollmeier K, Meier I. Control of expression of the Tn10-encoded tetracycline resistance genes, Equilibrium and kinetic investigation of the regulatory reactions. J Mol Biol. 1983;169:707–21.

    Article  CAS  PubMed  Google Scholar 

  24. Hillen W, Berens C. Mechanisms underlying expression of Tn10 encoded tetracycline resistance. Annu Rev Microbiol. 1994;48:345–69.

    Article  CAS  PubMed  Google Scholar 

  25. Allard JD, Bertrand KP. Membrane topology of the pBR322 tetracycline resistance protein, TetA-PhoA gene fusions and implications for the mechanism of TetA membrane insertion. J Biol Chem. 1992;267:17809–19.

    CAS  PubMed  Google Scholar 

  26. Ramos JL, Martinez-Bueno M, Molina-Henares AJ, Teran W, Watanabe K, et al. The TetR family of transcriptional repressors. Microbiol Mol Biol Rev. 2005;69(2):326–56.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Nguyen T, Phan QG, Duong LP, Bertrand KP, Lenski RE. Effects of carriage and expression of the Tn10 tetracycline-resistance operon on the fitness of Escherichia coli K12. Mol Biol Evol. 1989;6:213–25.

    CAS  PubMed  Google Scholar 

  28. Moodley A, Guardabassi L. Transmission of IncN plasmids carrying blaCTX-M-1 between commensal Escherichia coli in pigs and farm workers. Antimicrob Agents Chemother. 2009;53:1709–11.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Lerat E, Ochman H. Psi-Phi: exploring the outer limits of bacterial pseudogenes. Genome Res. 2004;14:2273–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Doublet B, Douard G, Targant H, Meunier D, Madec JY, et al. Antibiotic marker modifications of lambda Red and FLP helper plasmids, pKD46 and pCP20, for inactivation of chromosomal genes using PCR products in multidrug-resistant strains. J Microbiol Methods. 2008;75:359–61.

    Article  CAS  PubMed  Google Scholar 

  31. Datsenko KA, Wanner BL. One-step inactivation of chromosomal genes in Escherichia coli K-12 using PCR products. Proc Natl Acad Sci U S A. 2000;97:6640–5.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Gerlach RG, Holzer SU, Jackel D, Hensel M. Rapid engineering of bacterial reporter gene fusions by using Red recombination. Appl Environ Microbiol. 2007;73:4234–42.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. CLSI. Clinical and Laboratory Standards Institute. Performance Standards for Antimicrobial Susceptibility Testing: Twenty-First Informational Supplement M100-S25. Wayne, PA, USA: CLSI; 2015.

    Google Scholar 

  34. Agwuh KN, MacGowan A. Pharmacokinetics and pharmacodynamics of the tetracyclines including glycylcyclines. J Antimicrob Chemother. 2006;58:256–65.

    Article  CAS  PubMed  Google Scholar 

  35. Honnorat-Benabbou VC, Lebugle AA, Sallek B, Duffaut-Lagarrigue D. Stability study of tetracyclines with respect to their use in slow release systems. J Mater Sci Mater Med. 2001;12:107–10.

    Article  CAS  PubMed  Google Scholar 

  36. Moreno-Cerezo J, Córdoba-Dıaz M, Córdoba-Dı́az D, Córdoba-Borrego M. A stability study of tetracycline and tetracycline cyclodextrins in tablets using a new HPLC method. J Pharm Biomed Anal. 2001;26:417–26.

    Article  CAS  PubMed  Google Scholar 

  37. Fass R, Barnishan J. Minimal inhibitory concentrations of 34 antimicrobial agents for control strains Escherichia coli ATCC 25922 and Pseudomonas aeruginosa ATCC 27853. Antimicrob Agents Chemother. 1979;16:622–4.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. Kjeldsen TS, Overgaard M, Nielsen SS, Bortolaia V, Jelsbak L, et al. CTX-M-1 beta-lactamase expression in Escherichia coli is dependent on cefotaxime concentration, growth phase and gene location. J Antimicrob Chemother. 2014;70(1):62–70.

    Article  PubMed  Google Scholar 

  39. Pfaffl MW. A new mathematical model for relative quantification in real-time RT-PCR. Nucleic Acids Res. 2001;29:e45.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. Benjamini Y, Drai D, Elmer G, Kafkafi N, Golani I. Controlling the false discovery rate in behavior genetics research. Behav Brain Res. 2001;125:279–84.

    Article  CAS  PubMed  Google Scholar 

  41. Graesboll K, Nielsen SS, Toft N, Christiansen LE. How fitness reduced, antimicrobial resistant bacteria survive and spread: a multiple pig-multiple bacterial strain model. PLoS One. 2014;9:e100458.

    Article  PubMed  PubMed Central  Google Scholar 

  42. Wissmann A, Meier I, Wray Jr LV, Geissendorfer M, Hillen W. Tn10 tet operator mutations affecting Tet repressor recognition. Nucleic Acids Res. 1986;14:4253–66.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  43. Bertrand KP, Postle K, Wray Jr LV, Reznikoff WS. Construction of a single-copy promoter vector and its use in analysis of regulation of the transposon Tn10 tetracycline resistance determinant. J Bacteriol. 1984;158:910–9.

    CAS  PubMed  PubMed Central  Google Scholar 

  44. Daniels DW, Bertrand KP. Promoter mutations affecting divergent transcription in the Tn10 tetracycline resistance determinant. J Mol Biol. 1985;184:599–610.

    Article  CAS  PubMed  Google Scholar 

  45. Meier I, Wray LV, Hillen W. Differential regulation of the Tn10-encoded tetracycline resistance genes tetA and tetR by the tandem tet operators O1 and O2. EMBO J. 1988;7:567.

    CAS  PubMed  PubMed Central  Google Scholar 

  46. Mortimer PG, Piddok LJ. The accumulation of five antibacterial agents in porin-deficient mutants of Escherichia coli. J Antimicrobial Chemother. 1993;32:195–213.

    Article  CAS  Google Scholar 

  47. Blattner FR, Plunkett 3rd G, Bloch CA, Perna NT, Burland V, et al. The complete genome sequence of Escherichia coli K-12. Science. 1997;277:1453–62.

    Article  CAS  PubMed  Google Scholar 

  48. Ceri H, Olson M, Stremick C, Read R, Morck D, et al. The Calgary Biofilm Device: new technology for rapid determination of antibiotic susceptibilities of bacterial biofilms. J Clin Microbiol. 1999;37:1771–6.

    CAS  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

The work was funded by University of Copenhagen, Faculty of Health and Medical Sciences and the MINIRESIST project (10–093490). We acknowledge European Community’s Seventh Framework Programme (FP7/2007-2013) under grant agreement N8289285.

Author information

Authors and Affiliations

  1. Department of Veterinary Disease Biology, Faculty of Health and Medical Sciences, University of Copenhagen, Frederiksberg, C, Denmark

    Thea S. B. Møller, Valeria Bortolaia, Luca Guardabassi & John E. Olsen

  2. Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, Odense, Denmark

    Martin Overgaard

  3. Institute of Clinical Research, University of Southern Denmark, Odense, Denmark

    Martin Overgaard

  4. Department of Large Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Frederiksberg, C, Denmark

    Søren S. Nielsen

  5. Department of Systems Biology, Technical University of Denmark, Lyngby, Denmark

    Morten O. A Sommer

  6. Novo Nordisk Foundation Centre for Biosustainability, Technical University of Denmark, Hørsholm, Denmark

    Morten O. A Sommer

Authors
  1. Thea S. B. Møller
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Martin Overgaard
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Søren S. Nielsen
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Valeria Bortolaia
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Morten O. A Sommer
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Luca Guardabassi
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. John E. Olsen
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to John E. Olsen.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

Designed and conceived the experiments: TSBK, MO, MOAS, LG and JEO. Experiment execution: TSBK and MO. Data analysis: TSBK, MO, VB, SSN and JEO. Drafting the manuscript: TSBK. Corrections and approval of the final manuscript: TSBK, MO, SSN, VB, MOAS, LG and JEO. All authors read and approved the final manuscript.

Additional file

Additional file 1: Table S1.

Lag phase length and specific maximum growth rate. Length of lag phase and the specific maximum growth rate of MG1655/TetA at different tetracycline concentrations. The length of the lag phase was defined as the time necessary for the culture to reach an OD600nm of 0.01. Table S2. Significant P-values for differences in tetR expression levels measured at different tetracycline concentrations and growth phases. Adjusted significant P-values (P < 0.05) for tetracycline concentration-dependent and growth phase-dependent differences of tetR mRNA levels determined by qPCR for MG1655/TetA. Table S3. Significant P-values for differences in tetA expression levels measured at different tetracycline concentrations and growth phases. Adjusted significant P-values (P < 0.05) for tetracycline concentration-dependent and growth phase-dependent differences of tetA mRNA levels determined by qPCR for MG1655/TetA. (DOC 90 kb)

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Møller, T.S.B., Overgaard, M., Nielsen, S.S. et al. Relation between tetR and tetA expression in tetracycline resistant Escherichia coli . BMC Microbiol 16, 39 (2016). https://doi.org/10.1186/s12866-016-0649-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12866-016-0649-z

Keywords

BMC Microbiology

ISSN: 1471-2180

Contact us