- Research article
- Open Access
Persisters: a distinct physiological state of E. coli
© Shah et al; licensee BioMed Central Ltd. 2006
Received: 18 March 2006
Accepted: 12 June 2006
Published: 12 June 2006
Bacterial populations contain persisters, phenotypic variants that constitute approximately 1% of cells in stationary phase and biofilm cultures. Multidrug tolerance of persisters is largely responsible for the inability of antibiotics to completely eradicate infections. Recent progress in understanding persisters is encouraging, but the main obstacle in understanding their nature was our inability to isolate these elusive cells from a wild-type population since their discovery in 1944.
We hypothesized that persisters are dormant cells with a low level of translation, and used this to physically sort dim E. coli cells which do not contain sufficient amounts of unstable GFP expressed from a promoter whose activity depends on the growth rate. The dim cells were tolerant to antibiotics and exhibited a gene expression profile distinctly different from those observed for cells in exponential or stationary phases. Genes coding for toxin-antitoxin module proteins were expressed in persisters and are likely contributors to this condition.
We report a method for persister isolation and conclude that these cells represent a distinct state of bacterial physiology.
Persisters are multidrug tolerant cells present in all bacterial populations studied to date . Persisters are not mutants, but rather phenotypic variants of the wild-type that upon reinoculation produce a culture with similar levels of tolerance [2–4]. The number of persisters in Escherichia coli (E. coli) remains constant throughout early-exponential phase, with a marked increase as cells enter late-exponential and early-stationary phases . Maintaining cells in exponential growth using repeated dilutions in fresh media, similar to growth in a chemostat, resulted in a complete loss of persisters . This lack of persistence demonstrates that these cells are not at a particular stage in the cell cycle as originally suggested by Moyed , and are not produced in response to antibiotics. In a recent study employing a microfluidic device to monitor cell growth, persisters were shown to be rare non-growing cells that pre-exist in a population . Persisters are responsible for multidrug tolerance of biofilms  which account for the majority of infectious diseases in the developed world [6, 7].
We previously reported isolation of persisters from a culture of an E. coli hipA7 (high persistence) mutant  that was lysed with ampicillin . Intact persisters were collected and their gene expression profile indicated overexpression of chromosomal toxin-antitoxin (TA) modules. "Toxins" cause reversible stasis by blocking essential functions, such as translation , and appeared as promising candidates for MDT genes. Overexpression of RelE or HipA toxins caused a sharp increase in persistence, while deletion of the hipBA module strongly decreased the number of persisters in both stationary and biofilm cultures. The same hipBA deletion mutant exhibited no change in persistence during exponential growth or when grown in minimal media, suggesting that persister formation is governed by redundant genes whose activity depends on particular conditions (indeed, there are >10 TA modules in E. coli ). Recent progress in understanding persisters is encouraging, but the main obstacle in understanding their nature was our inability to isolate these elusive cells from a wild-type population without antibiotic treatment since their discovery in 1944 .
We reasoned that the apparent dormancy of persisters  could be exploited to physically isolate these cells. A strain expressing degradable GFP from a ribosomal promoter that is only active under conditions of rapid growth was used to physically sort dim persister cells from the bulk of the population. Here, we report a method of isolating naive persisters from wild-type E. coli and based on their gene expression profile conclude that they represent a third physiological state of bacterial cells, distinct from both exponential and stationary forms.
Results and discussion
Sorting was performed in a non-nutritive buffer to prevent persisters from reverting back into growing cells. Therefore, under the sorting conditions, regular cells stopped growing. This limited the choice of antibiotics we could use to probe for tolerance to fluoroquinolones, which have the ability to kill normal non-growing cells . Sorted cells were exposed to a high level of a bactericidal antibiotic ofloxacin (an inhibitor of DNA gyrase) which rapidly kills both growing and non-growing normal cells, but has no effect on persisters [15, 3]. The dim subpopulation had a 20-fold higher survival rate as compared to the sorted bright cells (Fig. 2C). This experiment demonstrates that the sorted dim population was in fact enriched for cells exhibiting a persistent phenotype. This result also validates the hypothesis that these persisters are dormant cells with low levels of protein synthesis. Importantly, the dim cells were sorted out from a population of wild-type E. coli that was not pre-treated with an antibiotic. We therefore conclude that persisters are dormant cells that are formed within a normally distributed population.
The ability to sort and purify a population of persisters presented an opportunity to examine their gene expression profile. In order to collect sufficient numbers of persisters, several cultures of ASV were inoculated independently at 30 minute intervals, and persisters were isolated on two MoFlo instruments running in parallel, with cells harvested in each case at the same time point during growth. Once sorted, cells were maintained on ice for several hours until all were collected. In order to concentrate the highly dilute suspensions, cells were co-precipitated by centrifugation with polystyrene beads.
When compared to stationary phase cells, persisters also showed significant differences in gene expression (Fig. 3B). Nearly ~420 genes are up-regulated in persisters, while roughly the same number of genes was down-regulated (Fig. 3B). Unexpectedly, persisters appear more similar to exponential, than stationary phase cells.
The gene profile of persisters as compared to exponentially dividing cells showed down-regulation of genes involved in energy production and non-essential functions such as flagellar synthesis, consistent with a dormant state (Fig. 3C). Expression of flagellar genes was particularly strongly suppressed, indicating that persistence is the opposite of an actively mobile state.
The unique persister transcriptome pointed to genes that were likely to contribute to dormancy. These were the elements of the "toxin-antitoxin" (TA) modules dinJ, yoeB, and yefM. Our previous studies, where persisters were isolated by lysing a population of hipA7 mutants of E. coli with ampicillin, also indicated overexpression of TA modules, but apart from dinJ, the prominent overexpressed genes were relE and MazF, rather than yefM and yoeB . It is possible that hipA7 persisters are similar, but not identical to the ones formed by wild-type cells, although the general principle, and perhaps the overall mechanism of their formation, appears to be the same. "Toxins"  would be uniquely well suited for initiating cell dormancy. RelE and MazF are mRNA endonucleases that inhibit translation [18–20] and can cause reversible stasis . YoeB expressed in wild-type persisters is a RelE homolog, and YefM is its antitoxin. DinJ is the cognate antitoxin of another RelE homolog, YafQ. The gene most highly expressed in persisters as compared to non-persisters was ygiU. Based on sequence similarity, ygiU was predicted to be a cyanide hydratase and also shown to be induced upon biofilm formation [21, 22]. More recently, ygiU has been described as a global regulator that controls biofilm formation by inducing motility via the two-component regulatory system QseBC . It is unclear how this may relate to persistence but it is also interesting that ygiU is part of a two-gene operon along with ygiT, which is annotated as a transcriptional repressor. In this regard ygiUT resembles a TA module, in particular higAB, a well characterized TA module where the toxin is also located upstream of the antitoxin [24, 25]. Note that atitoxins typically act as transcriptional repressors of their operons. A null mutant of ygiT cannot be obtained, further suggesting that ygiUT may also function as a previously undescribed TA pair (Niilo Kaldalu, unpublished).
A knockout of ygiU, or yoeB, or both, had no effect on persister formation (not shown). This is similar to our previous findings of the lack of a phenotype in knockouts of relE or mazF genes, the overexpression of which induces tolerance. HipA so far is the only toxin whose elimination decreases the occurrence of persisters, but only under certain conditions (rich medium, stationary phase) . This suggests that persister genes are redundant, and multiple knockouts would be required in most cases to observe a phenotype. Indeed, in E. coli the number of TA modules that could contribute to dormancy is >10 . The number of TA modules in M. tuberculosis that forms a dormant, persistent carrier state is >60 [31, 32].
Antitoxins have been found to act as repressors of TA modules , and are susceptible to proteolysis. A decrease in antitoxin protein level causes an induction in transcription, which we observed for some of the antitoxins in the gene profile of persisters. ygiT was not differentially expressed in persisters. It is possible that much of the regulation happens at the protein level, transcription profiling is limited in its ability to reflect all TA protein changes, and as a result is likely to miss some persister genes. hipBA is a case in point – we did not observe transcriptional overexpression of this element, while a strong phenotype of the ΔhipBA strain suggests its importance in persister formation. Future studies are being designed to track protein levels in persisters, such as toxin/antitoxin ratios, and we are currently working on obtaining a persister proteome.
The expression profile of persisters is very different from that of non-growing stationary phase cells (Fig. 3B). We do not see the characteristic stationary phase genes such as bolA, katE or osmB expressed in isolated persisters. Conversely, TA modules are not highly expressed in stationary phase (Fig. 3C). This shows that persisters differ from both exponentially growing and stationary cells, and constitute a distinct physiological state.
The multitude of TA modules that can induce multidrug tolerance is reminiscent of the many MDR pumps responsible for multidrug resistance. P. aeruginosa, for example, contains genes coding for 15 MDR pumps belonging to the resistance-nodulation-cell division (RND) family alone, of which a single one, MexAb-OprM, is expressed at a high level under laboratory conditions . Knockouts of most MDR genes produce no phenotype, while overexpression produces a functional MDR pump . It appears that microbial populations have evolved two complementary and highly redundant strategies to protect themselves from antimicrobials – multidrug efflux; and when this fails, multidrug tolerance of persister cells.
Here, we present a method for isolating naive persisters from wild-type E. coli. The method relies on the hypothesis that persisters are dormant cells with a low level of translation and could be applied to all types of bacteria. Genes coding for toxin-antitoxin module proteins, including a novel and previously unidentified toxin, were expressed in persisters and are likely contributors to this condition. Based on their unique gene expression profile we conclude that persisters represent a third physiological state of bacterial cells, distinct from both exponential and stationary forms.
Bacterial strains and growth conditions
Luria-Bertani (LB) broth and LB agar media were used for culturing. Unless indicated otherwise, cells were grown by dilution of overnight cultures 1:1,000 in 12 to 25 ml of LB and incubation in 125-ml baffled culture flasks (Belco) for 2.5 h with aeration (250 rpm) at 37°C. Overnight cultures were made by dilution of thawed cells from an 8% dimethyl sulfoxide stock (-80°C) and incubation in LB medium with aeration for 16 to 20 h. For persister sorting experiments, E. coli MG1655-ASV(ASV) was diluted 1:100 in two culture tubes (17 by 100 mm), each containing 1.5 ml of LB broth for a total of 3 ml for each replicate, and incubated at 37°C with aeration for 1 h prior to sorting. For stationary phase experiments, strains were cultured for 16 to 18 h, thereby reaching stationary state prior to testing. For toxin induction and protection studies, cells were cultured in LB containing 100 μg of chloramphenicol/ml and 100 μg of ampicillin/ml, and inducers were added at appropriate times.
Strain and plasmid construction
Gene deletions were transduced into MG1655 using bacteriophage P1 from an ordered library of deletion mutants that were created replacing corresponding ORF's with a gene coding for resistance to kanamycin . To create double-deletion mutants the Kmr cassette was removed by transformation of cells with pCP20 and selection of ampicillin-resistant colonies at 30°C. Colonies were then purified by reinoculation and growth at 43°C. At the end of the procedure, the selected colonies were tested on ampicillin and kanamycin plates to verify the loss of all selective markers. Plasmids pTOX and pATOX-2 were constructed as follows. Briefly, pTOX was constructed by amplifying ygiU using primers ygiU P1, GGGGTACCTAAGGAGATATATGGAATAATGGAAAAACGCACACCACA and ygiU P2, ACATGCATGCTTACTTCTCCTTAAACGAGA and cloning it into the Kpn I and Sph I site of pBAD33. pATOX-2 was constructed by amplifying ygiT using primers ygiT P1, CGGGGTACCTAAGGAGATATATGGAATAATGAAATGTCCGGTTTGCCA and ygiT P2, CCGGAATTCTTAACGGATTTCATTCAATA and cloning it into Kpn I and EcoR I site of pBRlacItac .
ASV Growth/fluorescence assay
E. coli ASV and AGA were diluted 1:1000 in culture tubes (17 by 100 mm), each containing 1.5 ml of LB broth, and incubated at 37°C for ~8 hrs. At designated time points samples were withdrawn, diluted in LB medium and spotted on an LB agar plate for colony counts. Additionally, 200 μL of culture was transferred to a black 96-well flat-bottom microtiter plate (NUNC) and fluorescence was measured with a Spectramax Gemini XS spectrofluorometer (Molecular Devices) at a 475-nm excitation wavelength and a 515-nm emission wavelength.
E. coli ASV was diluted 1:100 in culture tubes (17 by 100 mm), each containing 1.5 ml of LB broth, and incubated at 37°C for 1 h prior to sorting. After 1 h cultures were sorted using a MoFlo (DakoCytomation) cell sorter equipped with a 488 nm laser running at 100 mW. A log scale was used for all parameters measured including side-scatter (SSC), forward-scatter (FSC) and green fluorescence (FL1), which was detected using standard GFP filter sets. Cells were sorted directly into 50 ml centrifuge tubes that contained 3 ml phosphate buffered saline (PBS) with 1 mg/ml bovine serum albumin (BSA). Static charge build-up was dissipated by attaching grounding wires to the instrument and keeping them in contact with the buffer in collection tubes. Once sorted, 100 μl aliquots were removed from the tubes for antibiotic susceptibility measurements. The remaining cell suspensions were kept on ice for several hours until they could be pooled and concentrated. Concentration of cell suspensions was accomplished by mixing and co-sedimenting cells with polystyrene beads ranging from 3–5 μM in diameter (Spherotech, Inc.)
Antibiotic susceptibility measurements
100 μl aliquots of sorted cells were dispensed in culture tubes (17 by 100 mm) and ofloxacin was added at a final concentration of 5 μg/ml. The tubes were left at room temperature for 3 hours at which point samples were withdrawn, diluted in PBS and spotted on an LB agar plate for colony counts.
Cells were viewed with an epifluorescence microscope (Zeiss Axioskop 2 plus) with the appropriate filter sets. Images were captured with an Axiocam HRC and associated software (Carl Zeiss, Inc.)
DNA microarray analysis
Total RNA from stationary (S) and exponential phase (L) cells as well as FACS isolated persisters (P) and non-persisters (Q) was purified using the Qiagen RNeasy kits (Chatsworth, CA) according to the manufacturer's protocols. To identify persister-specific gene expression profiles, relative mRNA levels were determined by parallel two-color hybridization at single-gene resolution to whole-genome E. coli K-12 MG1655 spotted DNA microarrays, designed, printed and probed as described [38, 16, 39], and containing discrete sequence elements corresponding to 98.8% of all annotated open reading frames (ORF's). Complementary DNA probes were synthesized using 0.5 μg of total RNA for sorted cells and 15 μg of nonsorted exponential and stationary phase cells with random hexamers and Cy-5-dUTP or Cy-3 dUTPdyes (Amersham), following hybridization and washing as described previously . The microarray slides were air dried by brief centrifugation and scanned with an Axon Genepix 4000B laser scanner at 10 μm per pixel resolution. The resulting 16-bit TIFF images were analyzed by using the software Genepix Pro 3.0 (Axon). The fluorescence intensity data were first normalized globally using an iterative mean-log2(ratio)-centering approach. Fluorescence intensity dependent effects in log2(ratio) values were removed by using locally weighted linear regression (lowess) procedure . The normalized Cy-5/Cy-3 ratio for the median was taken to reflect the relative gene expression level changes. The gene functions were obtained from GenProtEc database .
Microarray hybridization from 0.5 μg of total RNA yielded the similar image qualities as starting from conventional 15 μg of total RNA, as indicated by Boccazzi et al. . Spots signal-to-noise ratios were routinely greater than five from both channels. The experimental error of the RNA abundances was assessed from at least three independent replicates. Each replicate RNA sample corresponds to cells isolated from at least two FACS isolation experiments. The differentially expressed genes were identified using an intensity-dependent Z-score threshold method described previously[40, 43]. In brief, in an ratio-intensity (R-I) plot, using a sliding window of fixed width in log10(Cy5*Cy3), the local mean and standard deviation in terms of log2(Cy5/Cy3) were calculated within the window surrounding each data point. The Z-score simply measures the number of standard deviation of a particular array element i is from the mean, defined as
The differentially expressed genes at the 95% confidence level would be those with a value of || > 1.96. The P-value for the paired student's t-test according to normalized fluorescence intensities for each gene was also calculated. The identified differentially expressed routinely have a P-value less than 0.1.
Toxin synthesis from the recombinant expression vector was induced by adding L-arabinose at a final concentration of 1 mM to each flask. At the designated time points, a sample was removed, diluted, and spotted on LB agar plates.
Toxin protection assay
Toxin synthesis was induced by adding L-arabinose at a final concentration of 1 mM to each flask. At the designated time points, a 1-ml sample was removed from each flask and placed in culture tubes (17 by 100 mm) with the appropriate drug concentration, and the tubes were incubated (250 rpm) at 37°C for 3 h. After the antibiotic challenge, cells were washed once (10,000 × g for 1 min) with fresh medium to minimize antibiotic carryover effects, diluted, and spotted onto an LB agar plate for cell counting. A control sample (prior to the addition of antibiotic) was spotted as well.
We thank Søren Molin for providing E. coli ASV. This work was supported by NIH grant 2 R01 GM061162-05A1 to KL and Estonian Science Foundation grant ETF676 to NK.
- Lewis K: Riddle of biofilm resistance. Antimicrob Agents Chemother. 2001, 45: 999-1007. 10.1128/AAC.45.4.999-1007.2001.PubMed CentralView ArticlePubMedGoogle Scholar
- Keren I, Kaldalu N, Spoering A, Wang Y, Lewis K: Persister cells and tolerance to antimicrobials. FEMS Microbiol Lett. 2004, 230: 13-18. 10.1016/S0378-1097(03)00856-5.View ArticlePubMedGoogle Scholar
- Wiuff C, Zappala RM, Regoes RR, Garner KN, Baquero F, Levin BR: Phenotypic tolerance: antibiotic enrichment of noninherited resistance in bacterial populations. Antimicrob Agents Chemother. 2005, 49: 1483-1494. 10.1128/AAC.49.4.1483-1494.2005.PubMed CentralView ArticlePubMedGoogle Scholar
- Bigger JW: Treatment of staphylococcal infections with penicillin. Lancet. 1944, ii: 497-500. 10.1016/S0140-6736(00)74210-3.View ArticleGoogle Scholar
- Moyed HS, Bertrand KP: hipA, a newly recognized gene of Escherichia coli K-12 that affects frequency of persistence after inhibition of murein synthesis. J Bacteriol. 1983, 155: 768-775.PubMed CentralPubMedGoogle Scholar
- Balaban NQ, Merrin J, Chait R, Kowalik L, Leibler S: Bacterial persistence as a phenotypic switch. Science. 2004, 305: 1622-1625. 10.1126/science.1099390.View ArticlePubMedGoogle Scholar
- Costerton JW, Stewart PS, Greenberg EP: Bacterial biofilms: A common cause of persistent infections. Science. 1999, 284: 1318-1322. 10.1126/science.284.5418.1318.View ArticlePubMedGoogle Scholar
- Stewart PS: Mechanisms of antibiotic resistance in bacterial biofilms. Int J Med Microbiol. 2002, 292: 107-113. 10.1078/1438-4221-00196.View ArticlePubMedGoogle Scholar
- Keren I, Shah D, Spoering A, Kaldalu N, Lewis K: Specialized persister cells and the mechanism of multidrug tolerance in Escherichia coli. J Bacteriol. 2004, 186: 8172-8180. 10.1128/JB.186.24.8172-8180.2004.PubMed CentralView ArticlePubMedGoogle Scholar
- Pedersen K, Christensen SK, Gerdes K: Rapid induction and reversal of a bacteriostatic condition by controlled expression of toxins and antitoxins. Mol Microbiol. 2002, 45: 501-510. 10.1046/j.1365-2958.2002.03027.x.View ArticlePubMedGoogle Scholar
- Gerdes K, Christensen SK, Lobner-Olesen A: Prokaryotic toxin-antitoxin stress response loci. Nat Rev Microbiol. 2005, 3: 371-382. 10.1038/nrmicro1147.View ArticlePubMedGoogle Scholar
- Sternberg C, Christensen BB, Johansen T, Toftgaard Nielsen A, Andersen JB, Givskov M, Molin S: Distribution of bacterial growth activity in flow-chamber biofilms. Appl Environ Microbiol. 1999, 65: 4108-4117.PubMed CentralPubMedGoogle Scholar
- Gourse RL, de Boer HA, Nomura M: DNA determinants of rRNA synthesis in E. coli: growth rate dependent regulation, feedback inhibition, upstream activation, antitermination. Cell. 1986, 44: 197-205. 10.1016/0092-8674(86)90498-8.View ArticlePubMedGoogle Scholar
- Bartlett MS, Gourse RL: Growth rate-dependent control of the rrnB P1 core promoter in Escherichia coli. J Bacteriol. 1994, 176: 5560-5564.PubMed CentralPubMedGoogle Scholar
- Spoering AL, Lewis K: Biofilms and planktonic cells of Pseudomonas aeruginosa have similar resistance to killing by antimicrobials. J Bacteriol. 2001, 183: 6746-6751. 10.1128/JB.183.23.6746-6751.2001.PubMed CentralView ArticlePubMedGoogle Scholar
- Khodursky AB, Bernstein JA, Peter BJ, Rhodius V, Wendisch VF, Zimmer DP: Escherichia coli spotted double-strand DNA microarrays: RNA extraction, labeling, hybridization, quality control, and data management. Methods Mol Biol. 2003, 224: 61-78.PubMedGoogle Scholar
- Hayes CS, Sauer RT: Toxin-antitoxin pairs in bacteria: killers or stress regulators?. Cell. 2003, 112: 2-4. 10.1016/S0092-8674(02)01282-5.View ArticlePubMedGoogle Scholar
- Pedersen K, Zavialov AV, Pavlov MY, Elf J, Gerdes K, Ehrenberg M: The bacterial toxin RelE displays codon-specific cleavage of mRNAs in the ribosomal A site. Cell. 2003, 112: 131-140. 10.1016/S0092-8674(02)01248-5.View ArticlePubMedGoogle Scholar
- Christensen SK, Gerdes K: RelE toxins from bacteria and Archaea cleave mRNAs on translating ribosomes, which are rescued by tmRNA. Mol Microbiol. 2003, 48: 1389-1400. 10.1046/j.1365-2958.2003.03512.x.View ArticlePubMedGoogle Scholar
- Zhang Y, Zhang J, Hoeflich KP, Ikura M, Qing G, Inouye M: MazF cleaves cellular mRNAs specifically at ACA to block protein synthesis in Escherichia coli. Mol Cell. 2003, 12: 913-923. 10.1016/S1097-2765(03)00402-7.View ArticlePubMedGoogle Scholar
- Reed JL, Vo TD, Schilling CH, Palsson BO: An expanded genome-scale model of Escherichia coli K-12 (iJR904 GSM/GPR). Genome Biol. 2003, 4: R54-10.1186/gb-2003-4-9-r54.PubMed CentralView ArticlePubMedGoogle Scholar
- Ren D, Bedzyk LA, Thomas SM, Ye RW, Wood TK: Gene expression in Escherichia coli biofilms. Appl Microbiol Biotechnol. 2004, 64: 515-524. 10.1007/s00253-003-1517-y.View ArticlePubMedGoogle Scholar
- Gonzalez Barrios AF, Zuo R, Hashimoto Y, Yang L, Bentley WE, Wood TK: Autoinducer 2 controls biofilm formation in Escherichia coli through a novel motility quorum-sensing regulator (MqsR, B3022). J Bacteriol. 2006, 188: 305-316. 10.1128/JB.188.1.305-316.2006.PubMed CentralView ArticlePubMedGoogle Scholar
- Tian QB, Hayashi T, Murata T, Terawaki Y: Gene product identification and promoter analysis of hig locus of plasmid Rts1. Biochem Biophys Res Commun. 1996, 225: 679-684. 10.1006/bbrc.1996.1229.View ArticlePubMedGoogle Scholar
- Tian QB, Ohnishi M, Tabuchi A, Terawaki Y: A new plasmid-encoded proteic killer gene system: cloning, sequencing, and analyzing hig locus of plasmid Rts1. Biochem Biophys Res Commun. 1996, 220: 280-284. 10.1006/bbrc.1996.0396.View ArticlePubMedGoogle Scholar
- Falla TJ, Chopra I: Joint tolerance to beta-lactam and fluoroquinolone antibiotics in Escherichia coli results from overexpression of hipA. Antimicrob Agents Chemother. 1998, 42: 3282-3284.PubMed CentralPubMedGoogle Scholar
- Tran JH, Jacoby GA: Mechanism of plasmid-mediated quinolone resistance. Proc Natl Acad Sci U S A. 2002, 99: 5638-5642. 10.1073/pnas.082092899.PubMed CentralView ArticlePubMedGoogle Scholar
- Tran JH, Jacoby GA, Hooper DC: Interaction of the plasmid-encoded quinolone resistance protein QnrA with Escherichia coli topoisomerase IV. Antimicrob Agents Chemother. 2005, 49: 3050-3052. 10.1128/AAC.49.7.3050-3052.2005.PubMed CentralView ArticlePubMedGoogle Scholar
- Hegde SS, Vetting MW, Roderick SL, Mitchenall LA, Maxwell A, Takiff HE, Blanchard JS: A fluoroquinolone resistance protein from Mycobacterium tuberculosis that mimics DNA. Science. 2005, 308: 1480-1483. 10.1126/science.1110699.View ArticlePubMedGoogle Scholar
- Brown JM, Shaw KJ: A novel family of Escherichia coli toxin-antitoxin gene pairs. J Bacteriol. 2003, 185: 6600-6608. 10.1128/JB.185.22.6600-6608.2003.PubMed CentralView ArticlePubMedGoogle Scholar
- Arcus VL, Rainey PB, Turner SJ: The PIN-domain toxin-antitoxin array in mycobacteria. Trends Microbiol. 2005, 13: 360-365. 10.1016/j.tim.2005.06.008.View ArticlePubMedGoogle Scholar
- Pandey DP, Gerdes K: Toxin-antitoxin loci are highly abundant in free-living but lost from host-associated prokaryotes. Nucleic Acids Res. 2005, 33: 966-976. 10.1093/nar/gki201.PubMed CentralView ArticlePubMedGoogle Scholar
- Li XZ, Nikaido H, Poole K: Role of mexA-mexB-oprM in antibiotic efflux in Pseudomonas aeruginosa. Antimicrob Agents Chemother. 1995, 39: 1948-1953.PubMed CentralView ArticlePubMedGoogle Scholar
- Lewis K LO: Drug Efflux. Bacterial Resistance to Antimicrobials: Mechanisms, Genetics, Medical Practice and Public Health. Edited by: Wax R. 2002, New York, Marcel Dekker, 61-90.Google Scholar
- Baba TATOYHMTYBMOTTMWBMH: Systematic construction of single gene deletion mutants in Escherichia coli K-12. Manuscript in preparation.Google Scholar
- Guzman LM, Belin D, Carson MJ, Beckwith J: Tight regulation, modulation, and high-level expression by vectors containing the arabinose PBAD promoter. J Bacteriol. 1995, 177: 4121-4130.PubMed CentralPubMedGoogle Scholar
- Ojangu EL, Tover A, Teras R, Kivisaar M: Effects of combination of different -10 hexamers and downstream sequences on stationary-phase-specific sigma factor sigma(S)-dependent transcription in Pseudomonas putida. J Bacteriol. 2000, 182: 6707-6713. 10.1128/JB.182.23.6707-6713.2000.PubMed CentralView ArticlePubMedGoogle Scholar
- Martinez-Vaz BM, Xie Y, Pan W, Khodursky AB: Genome-wide localization of mobile elements: experimental, statistical and biological considerations. BMC Genomics. 2005, 6: 81-10.1186/1471-2164-6-81.PubMed CentralView ArticlePubMedGoogle Scholar
- Khodursky AB, Peter BJ, Schmid MB, DeRisi J, Botstein D, Brown PO, Cozzarelli NR: Analysis of topoisomerase function in bacterial replication fork movement: use of DNA microarrays. Proc Natl Acad Sci U S A. 2000, 97: 9419-9424. 10.1073/pnas.97.17.9419.PubMed CentralView ArticlePubMedGoogle Scholar
- Quackenbush J: Microarray data normalization and transformation. Nat Genet. 2002, 32 Suppl: 496-501. 10.1038/ng1032.View ArticlePubMedGoogle Scholar
- Serres MH, Goswami S, Riley M: GenProtEC: an updated and improved analysis of functions of Escherichia coli K-12 proteins. Nucleic Acids Res. 2004, 32: D300-2. 10.1093/nar/gkh087.PubMed CentralView ArticlePubMedGoogle Scholar
- Boccazzi P, Zanzotto A, Szita N, Bhattacharya S, Jensen KF, Sinskey AJ: Gene expression analysis of Escherichia coli grown in miniaturized bioreactor platforms for high-throughput analysis of growth and genomic data. Appl Microbiol Biotechnol. 2005Google Scholar
- Yang IV, Chen E, Hasseman JP, Liang W, Frank BC, Wang S, Sharov V, Saeed AI, White J, Li J, Lee NH, Yeatman TJ, Quackenbush J: Within the fold: assessing differential expression measures and reproducibility in microarray assays. Genome Biol. 2002, 3: research0062-PubMed CentralPubMedGoogle Scholar
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