JBC

HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Liu, J. Y.
Right arrow Articles by Olson, E. R.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Liu, J. Y.
Right arrow Articles by Olson, E. R.
Social Bookmarking
 Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati  
What's this?

J Biol Chem, Vol. 274, Issue 33, 22977-22984, August 13, 1999


Functional and Biochemical Characterization of Escherichia coli Sugar Efflux Transporters*

Jia Yeu Liu, Paul F. MillerDagger , Jennifer Willard, and Eric R. Olson§

From the Infectious Diseases Department, Parke-Davis Pharmaceutical Research, Division of Warner-Lambert Company, Ann Arbor, Michigan 48106-1047

    ABSTRACT
TOP
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
RESULTS
DISCUSSION
REFERENCES

A family of bacterial transporters, the SET (sugar efflux transporter) family, has been recently reported (Liu, J. Y., Miller, P. F., Gosink, M., and Olson, E. R. (1999) Mol. Microbiol. 31, 1845-1851). In this study, the biochemical and cell biological properties of the three Escherichia coli members (SetA, SetB, and SetC) of the family are characterized. We show that both SetA and SetB can transport lactose and glucose. In addition, SetA has broad substrate specificity, with preferences for glucosides or galactosides with alkyl or aryl substituents. Consistent with the observed in vitro substrate specificities, strains that hyperexpress SetA or SetB are desensitized to lactose analogues as measured by induction of the lac operon. In addition, strains that hyperexpress SetA are resistant to the growth inhibitory sugar analogue o-nitrophenyl-beta -D-thiogalactoside. Strains disrupted for any one or all of the set genes are viable and show no defects in lactose utilization nor increased sensitivity to inducers of the lac operon and nonmetabolizable sugar analogues. The data suggest that the set genes are either poorly expressed under normal laboratory growth conditions or are redundant with other cellular gene products.

    INTRODUCTION
TOP
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
RESULTS
DISCUSSION
REFERENCES

The recently described bacterial SET (sugar efflux transporter) family of efflux pumps shares amino acid sequence similarity with the Major Facilitator Superfamily of transport proteins (1-3). Members of the Major Facilitator Superfamily perform diverse functions including the uptake of nutrients such as sugars and the secretion of noxious agents, including antibiotics (2, 3). The SET proteins were first identified in Escherichia coli, which encodes three members (SetA, SetB, and SetC) that share a high degree (at least 70%) of amino acid sequence similarity (1). Prior to this work, setA, setB, and setC were given the generic names yabM, yeiO, and yicK, respectively, for E. coli open reading frames of unknown function. It was shown that two of the proteins (SetA and SetB) could catalyze the secretion of lactose (1). Two additional members were identified as open reading frames in Deinococcus radiodurans and Yersinia pestis. A recent examination of the sequenced microbial genomes data base yielded six additional, more distantly related, proteins.1 At present, the transport properties of these new family members have not been characterized. The SET proteins are not ubiquitously present in bacteria, suggesting an ecologically specialized role for this family of pumps.

Sugar efflux has been reported in many bacterial species (4, 5), including E. coli (6-9). It was shown that sugar efflux is an integral part of the metabolism of lactose in E. coli (7). In a strain constitutive for the lac operon, the addition of lactose led to the immediate and stoichiometeric appearance of the products (glucose, galactose, and allolactose) of beta -galactosidase action in the medium (6). Consistent with this hypothesis, mutants defective in the uptake of glucose and galactose grow poorly on lactose as the sole carbon source (7).

Physiological evidence supports the hypothesis that efflux systems are involved in the detoxification of nonmetabolizable sugars in E. coli (8-11). Methyl-alpha -glucoside (MG),2 a competitive inhibitor of glucose utilization (12, 13), enters the cell mainly by the transporter for glucose and mannose, the products of the genes ptsG and pstM, respectively, and accumulates to high levels as both the phosphorylated and the unmodified forms (9, 13). When glucose is the sole carbon source, growth inhibition by MG is due to both decreased uptake of glucose and interference with the utilization of intracellular glucose-6-phosphate, the latter because of the accumulation of MG and MG-6-phosphate (9, 12). It was shown that both MG and MG-6-phosphate are secreted from the cell by an uncharacterized mechanism, the latter being first dephosphorylated before secretion (9, 11, 12).

Many nonmetabolizable lactose analogues such as isopropyl-beta -D-thiogalactoside (IPTG) and methyl-beta -D-thiogalactoside are growth inhibitory when lactose is the only carbon source (10). These compounds enter the cell through the lactose permease, the product of the lacY gene (14). To prevent the accumulation of IPTG and methyl-beta -D-thiogalactoside, these sugar analogues are first acetylated by the LacA transacetylase and then secreted from the cell by an unknown transporter (8, 10). Re-entry into the cell is prevented because the acetylated sugar analogues are not substrates for the permease (8).

In this report, a role for the SET proteins (SetA, SetB, and SetC) in the metabolism of lactose or the detoxification of nonmetabolizable sugar analogues is investigated. As we show in this study, the range of sugars that are efflux substrates for the E. coli SET proteins include selective monosaccharides and disaccharides, in addition to glycoside analogues such as IPTG. Because lactose and IPTG are both substrates for Set protein-catalyzed efflux, we also generated null mutations in setA, setB, and setC and used these to help define the role of the Set proteins in E. coli sugar metabolism.

    MATERIALS AND METHODS
TOP
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
RESULTS
DISCUSSION
REFERENCES

Bacterial Strains, Plasmids, Media, and Reagents-- The bacterial strains and plasmids used in this study are listed in Table 1. Cultures were grown in L broth (10 g tryptone/liter, 5 g yeast extract/liter, 5 g NaCl/liter) at 37 °C unless otherwise indicated. Plates contained 15 g agar/liter and top agar contained 7.5 g agar/liter. Antibiotics and arabinose, purchased from Sigma, were added to the following concentrations: 50 µg/ml ampicillin, 10 µg/ml tetracycline, 12.5 µg/ml chloramphenicol, 15 µg/ml streptomycin, 35 µg/ml kanamycin, 15 mM arabinose. M63 medium contained 3.0 g KH2PO4/liter, 7.0 g of K2HPO4/liter, 2.0 g (NH4)2SO4/liter, 0.5 mg FeSO4/liter, 1 mM MgSO4/liter, 0.1 mg thiamine/liter, and 2.0 g glycerol/liter. Sugars, sugar analogues, hexokinase, glucose-6-phosphate dehydrogenase, CCCP, and NADP+ were purchased from Sigma. Ciprofloxacin was obtained from the Parke-Davis chemical collection. Radiolabeled lactose (55.0 mCi/mmol) was purchased from Amersham Pharmacia Biotech, and radiolabeled glucose (8.36 mCi/mmol) was purchased from NEN Life Science Products.

                              
View this table:
[in this window]
[in a new window]
 
Table I
E. coli strains and plasmids

Construction of Plasmids-- Standard DNA manipulation techniques were used (15). DNA corresponding to each of the set genes was obtained by the polymerase chain reaction. All polymerase chain reaction products were sequenced, and except for three silent mutations in yabM, the products were identical to the sequences reported in the EBI/GenBankTM data base. Construction of the plasmids pBAD-SetA, pBAD-SetB, and pBAD-SetC, previously referred to as pBAD-YabM, pBAD-YeiO, and pBAD-YicK (1), respectively, were described earlier (1). Plasmids pBR-SetA, pBR-SetB, and pBR-SetC are derivatives of plasmid pBR-LacY (1) where the lacY gene was replaced with the gene for either setA, setB, or setC, respectively.

Growth Curves-- Overnight cultures of strains ML308/pBAD18, ML308/pBAD-SetA, and ML308/pBAD-SetB grown in L broth containing ampicillin were diluted 100-fold into the same medium or medium containing 15 mM arabinose. After 1.6 h of growth, ONPTG, dissolved at 20 times the final concentration in 60% dimethyl sulfoxide, or solvent only, was added to the indicated concentrations. The cultures were grown in a 96-well plate, and growth was followed with a SpectraMax 96-well plate reader (Molecular Devices Corp, Sunnyvale, CA).

Isolation of Inside-out Vesicles, Vesicle Transport Assays for [14C]Lactose and [14C]Glucose, Kinetics of SetA Catalyzed Lactose Transport, and Inhibitor Studies-- Cells were grown in L broth with arabinose to an A600 of 0.6-1.0 and harvested for inside-out vesicles, essentially as described previously (16). In the experiments described in Fig. 1 (A and C), the culture was grown in shake flasks. In the experiments described in Fig. 1 (B and D), the culture was grown in a fermentor with L broth containing ampicillin to an A600 of 0.6-1.0. Subsequently, arabinose was added to 15 mM, and the culture was harvested 2 h later. Cell pellets were washed once with ice-cold lysis buffer (50 mM MOPS-KOH, pH 6.6, 180 mM NaCl, 10 mM EDTA), resuspended in lysis buffer to an A600 of 40-80, and lysed in a French Press at 5000 p.s.i. The lysate was centrifuged at 27,000 × g for 10 min to remove unlysed cells and debris. The supernatant was centrifuged for 1 h at 100,000 × g to pellet total membranes. Protein concentrations were determined by the Bradford protein assay kit (Bio-Rad) using bovine serum albumin as the standard. The transport assay was performed at 21 °C. A 1.5-µl solution of 50 mM ATP, pH 7.0, 50 mM MgSO4 was added to 13.5 µl of a suspension of membrane vesicles (14.0 µg protein/ml) followed by incubation at 21 °C for 30 s. Transport was initiated by the addition of 60 µl of Buffer A (50 mM MOPS, pH 7.5, 10 mM MgSO4, 192 mM NaCl) containing the labeled sugar ([14C]lactose: 0.181 mM, 55.0 mCi/mmol, or [14C]glucose: 0.57 mM, 8.36 mCi/mmol). At the specified times, the entire solution was mixed with 3 ml of ice-cold stop buffer (50 mM MOPS-KOH, pH 7.5, 180 mM LiCl) followed by filtration through Whatman glass fiber filters. The filters were washed twice with 3 ml of the same buffer, and radioactivity was measured in a liquid scintillation counter. For the CCCP-treated samples, CCCP was added to 80 µM at the indicated time after the initiation of transport and allowed to incubate further before stopping the assay with stop buffer. For the kinetic studies of SetA catalyzed [14C]lactose transport, the stock [14C]lactose solution was diluted with unlabeled lactose so that the final concentrations in the assay were 0.33, 0.5, 1.0, 2.0, and 5.0 mM. In the assay for inhibitors of SetA catalyzed transport of [14C]lactose, Buffer A contained the tested inhibitor at 31.25 mM and [14C]lactose at 0.181 mM (55.0 mCi/mmol). The final concentrations of the test compound and lactose were 25 and 0.145 mM, respectively.

Induction of the lac Operon with IPTG and Lactose: beta -Galactosidase Activity Assays-- Log phase cultures (A600 = 0.2-0.4) were grown at the indicated concentration of IPTG or lactose for 1 h. Subsequently, beta -galactosidase activity in the culture was determined as described (17). To follow the kinetics of IPTG induction of the lac operon, IPTG was added to early log phase cultures (A600 = 0.1) to final concentrations of 2.5 and 5.0 µM. At the indicated times, samples of the culture were removed and assayed for beta -galactosidase activity.

Gradient Plate Assay-- Gradient plates were prepared by the method described previously (18). Antibiotics were used at the following concentrations: 15 µg/ml kanamycin, 15 µg/ml neomycin, 0.008 µg/ml ciprofloxacin.

Lactose-dependent Glucose Efflux-- The quantitative assay for glucose is essentially that described previously (6). Log phase cells growing in M63 with 0.2% glycerol (6) were pelleted and washed once with buffer containing 0.1 M NaPO4, 1.0 mM MgSO4, pH 7.6. Cells were resuspended in assay buffer (0.1 M NaPO4, 7.0 mM MgSO4, 6.0 mM ATP, 0.3 units/ml hexokinase, 2.5 µg/ml glucose-6-phosphate dehydrogenase, 0.5 mg/ml NADP+, pH 7.6) to an A600 of 0.25. The assay was initiated by the addition of lactose to 1.0 mM, and the absorbance at 340 nM was followed. To inhibit lactose uptake by LacY, cells were preincubated in assay buffer with CCCP at 60 µM for 3.0 min before the addition of lactose. The glucose efflux activity was normalized to the beta -galactosidase activity (17) in the solution.

Disruption of the set Genes and Construction of the Triple Disruption Strain-- The disruption markers (19), referred to as interposons (denoted by the symbol Omega ), which conferred resistance to streptomycin, chloramphenicol, or tetracycline, were inserted into setA (at MscI), setB (at BsgI), and setC (at BsgI), respectively, which were cloned in pBAD18. The disrupted alleles were individually integrated into the chromosome by one of two independent methods: 1) homologous recombination following transformation with linearized DNA into a recD strain (20) and 2) cloning of the disrupted alleles into the temperature sensitive replication plasmid pMAK705 (21) to allow use of a two-step method (21) to obtain double cross-over recombinants. The disrupted alleles were confirmed both by polymerase chain reaction analysis and by P1 mapping studies. The triple mutant was assembled in both the W3110 and ML308 strain backgrounds by P1 transduction (22).

    RESULTS
TOP
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
RESULTS
DISCUSSION
REFERENCES

A study of the transport properties of the SET proteins was undertaken as a first step toward elucidating the physiological function of this newly identified family of efflux proteins. Both setA, setB, and setC were cloned downstream from the arabinose-inducible promoter, generating the plasmids pBAD-SetA, pBAD-SetB, and pBAD-SetC, respectively, and the resulting plasmids transformed into E. coli strain MC4100. Inside-out membrane vesicles were prepared from cells that hyperexpressed the plasmid-encoded Set proteins. (In this configuration, an efflux pump would be expected to transport a radiolabeled substrate into the inside of the vesicle, which can be monitored as the accumulation of radioactivity in the vesicle interior.) It was shown previously and confirmed here that both SetA and SetB transport [14C]lactose (Fig. 1, A and B). Transport was sensitive to the addition of the protonophore CCCP, which caused the release of the accumulated radioactivity to near basal levels. The accumulation of the labeled lactose was also dependent on the presence of either ATP or NADH, which gave equivalent rates of labeled lactose transport (data not shown) and was not observed in vesicles prepared from cells that harbored the control plasmid pBAD18. Transport activity in the SetB-containing vesicles was higher than that of SetA. The SetB and more recent preparations of SetA vesicles were prepared from cells grown with increased aeration. The transport activity of recent preparations of SetA vesicles is comparable with SetB and is likely due to increased SetA protein expression (data not shown).


View larger version (25K):
[in this window]
[in a new window]
 
Fig. 1.   SetA and SetB both transport [14C]lactose and [14C] glucose. A and B, [14C]lactose transport. C and D, [14C] glucose transport. Inside-out membrane vesicles were prepared from strain MC4100/pBAD-SetA (A and C, , black-square, and ), strain MC4100/pBAD18 (A and C, open circle ), and strain MC4100/pBAD-SetB (B and D) grown in the presence of arabinose. ATP was used to generate a proton gradient to energize transport. Partially filled square symbols () represent transport in the absence of ATP. Uptake was initiated by the addition of radiolabeled lactose or glucose and was followed for 1 min. At the indicated time, CCCP was added to a final concentration of 80 µM (black-square). Each time point represents the mean of duplicate determinations ± range.

The ability of SetA and SetB to transport [14C]glucose was also tested. In this assay, a higher concentration of [14C]glucose, which was of a lower specific activity than that of the [14C]lactose, was used. Both SetA and SetB promoted the transport of [14C]glucose, which was accumulated in the vesicle interior (Fig. 1, C and D). The accumulation of the radiolabeled glucose was also dependent on the presence of ATP, was sensitive to CCCP, and was not observed in vesicles prepared from cells that harbored the control plasmid pBAD18. We were unable to observe the transport of [14C]galactose by SetA or SetB (data not shown). In addition, vesicles prepared from the strain that harbored the setC expression plasmid was unable to transport any of the three sugars tested; however, the level of protein expressed was not determined.

Because our data from the SetA and SetB overexpression strains indicated that SetA has a broader substrate specificity than SetB (see below), an assay was developed to define the range of sugars and sugar analogues that could serve as SetA substrates. To facilitate the design of the assay, which was based on the inhibition of transport of radiolabeled lactose into inside-out vesicles, a study of the kinetic properties of lactose transport by SetA was conducted. Fig. 2A shows the kinetics of lactose transport at varying substrate concentrations. The rate of transport appears to be saturable (Fig. 2B) with an apparent Km of 1.9 mM and Vmax of 0.12 pmol lactose/µg protein/s (Fig. 2C). In the assay for possible substrates or inhibitors of lactose transport, the accumulation of radiolabeled lactose into inside-out vesicles was performed in the presence of unlabeled test compounds at 25 mM and [14C]lactose at 0.14 mM. (Note that this assay cannot distinguish between substrates that are effluxed by SetA and inhibitors that can compete with lactose for binding but that themselves are not transported.) The results of the competition assay are shown in Fig. 3 and are briefly summarized here. Of the tested sugars, trioses, tetroses, pentoses, and heptoses are poor inhibitors, whereas selective hexoses and disaccharides, the best being D-glucose (72% inhibition; Fig. 3B) and cellobiose (88% inhibition; Fig. 3C), respectively, show inhibitory activity. Glucosides and galactosides with large alkyl or aryl aglycone substituents are the most potent inhibitors of lactose transport (91-100% inhibition; Fig. 3D). When the alkyl substituent is a small methyl group, such as that found in the methyl-galactosides, there is a significant reduction in the inhibitory activity (methyl-alpha -galactoside 0%; methyl-beta -galactoside 50%) in addition to a pronounced preference for a beta -linkage of the aglycone to the sugar (Fig. 3D). Interestingly, alpha - and beta -D-glucose-1-phosphate are both inactive inhibitors. The inactivity is likely due to the presence of the negative charge and not a steric effect of the phosphate group (Fig. 3D). The first position can be replaced with the larger and uncharged phenyl substituent found in phenyl-alpha and phenyl-beta -D-glucosides, which are both potent inhibitors (Fig. 3D).


View larger version (17K):
[in this window]
[in a new window]
 
Fig. 2.   Kinetic properties of SetA catalyzed [14C]lactose transport. A, SetA-dependent accumulation of [14C]lactose as a function of time. Inside-out membrane vesicles prepared from MC4100/pBAD-SetA were used for the transport studies. Transport was assayed at 0.33, 0.50, 1.0, 2.0, and 5.0 mM [14C]lactose. Transport assayed with 0.33 mM [14C]lactose in the absence of ATP is also shown. For clarity, the 5.0 mM substrate curve is omitted. Each time point represents the mean of duplicate determinations ± range. B, the relationship of the transport velocity versus substrate concentration. The slopes of the lines from A are plotted against the substrate concentration. C, Lineweaver-Burk plot of the data from A. Km = 1.9 mM, Vmax = 0.12 pmol lactose/µg protein/s. , 0.33 mM lactose; diamond , 0.5 mM lactose; open circle , 1.0 mM lactose; triangle , 2.0 mM lactose; , 0.33 mM lactose, no ATP.


View larger version (62K):
[in this window]
[in a new window]
 
Fig. 3.   Inhibition of SetA catalyzed [14C]lactose transport into inside-out vesicles. The assay measured the amount of SetA-dependent [14C]lactose taken up into inside-out vesicles in 30 s in the presence of the indicated inhibitor at 25 mM. The amount of [14C]lactose transported in the presence of 25 mM NaCl is taken to be 100. The classes of compounds tested for inhibitory activity were as follows: A, nonsugars, 3, 4, and 5 carbon monosaccharides. B, 6 and 7 carbon monosaccharides. C, disaccharides and trisaccharides. D, glucosides and galactosides. Each data point represents the mean of triplicate determinations ± S.D.

A series of cell-based assays were designed to test whether SetA and SetB transport the substrates identified by the in vitro transport assays. A set of pBR322 derived plasmids were constructed that constitutively expressed each of the set genes by cloning them downstream from the promoter for the tetracycline resistance gene. The plasmids were transformed individually into E. coli strain W3110, which is wild type at the lac locus, and the resulting strains were each expected to hyperexpress one of the Set proteins. These strains were tested for the ability of the individual Set proteins to transport either IPTG or lactose. Because IPTG and lactose are both inducers of the lac operon, the level of beta -galactosidase activity should reflect the intracellular concentration of the inducer. If the inducer is effluxed from the cell by a Set protein, the level of beta -galactosidase activity would be expected to be lower. Strains harboring individual set plasmids were titrated with either lactose or IPTG, and the level of beta -galactosidase activity was measured. Fig. 4A shows that only SetA can efflux IPTG, because the level of beta -galactosidase activity in the setA-containing plasmid was equal to that of the background at 0.1 mM IPTG. The level of beta -galactosidase activity increased as the concentrations of IPTG rose from 1.0 to 100 mM, where it plateaued. This is the expected result if SetA is simply an efflux pump for the inducer. At high extracellular concentrations of the inducer, the rate of entry of the inducer exceeds the rate of efflux by SetA. In contrast, strains with either the setB or the setC plasmid, as well as the strain harboring the control plasmid pBR322, all showed high levels of beta -galactosidase activity at 0.1 mM IPTG. The plateau level of beta -galactosidase activity in the strain with the setB plasmid was lower than that of the control strain with pBR322, possibly reflecting the slow growth phenotype of this strain.


View larger version (19K):
[in this window]
[in a new window]
 
Fig. 4.   Overexpression of SetA and SetB desensitize cells to inducers of the lactose operon. Log phase cultures of strains W3110/pBR322, W3110/pBR-SetA, W3110/pBR-SetB, and W3110/pBR-SetC were grown for one hour in the presence of the indicated concentrations of either IPTG (A) or lactose (B). Subsequently, the beta -galactosidase activities (Miller units) in the cultures were determined. Each point represents the mean of duplicate determinations ± range. , pBR322; open circle , pBR-SetC; box-plus , pBR-SetB; , pBR-SetA.

Fig. 4B shows that both SetA and SetB can efflux lactose. The beta -galactosidase activity of the strain with the setA plasmid remained at background levels when titrated with lactose at up to 10 mM. Growth of this strain was not affected by the addition of lactose at the concentrations used. The beta -galactosidase activity of the strain with the setB plasmid was equal to that of the background level at 0.1 mM lactose and was 22% of the level present in the control strain with pBR322 at 1 and 10 mM lactose. In contrast, the level of beta -galactosidase activity in the strain with the setC plasmid was similar to that of the control strain with pBR322. Comparison of the lactose and IPTG titration curves indicates that IPTG is a better inducer of the lac operon, which is due to the fact that lactose is not active as an inducer until it is rearranged to allolactose by the action of beta -galactosidase (23).

Because the in vitro transport studies indicated that aryl-glycosides may possibly serve as substrates for SetA, a cell-based assay was therefore designed to test this. It was previously reported that the intracellular accumulation of the toxic beta -galactoside analogue, ONPTG, inhibits growth (24). Growth inhibition is dependent on the expression of lacY, because ONPTG is a substrate for the LacY permease (25). If ONPTG is also a substrate for SetA efflux, it would be expected that strains that hyperexpress SetA would be more resistant to the sugar analogue. A strain constitutive for the lac operon (ML308) was transformed with plasmids pBAD-SetA, pBAD-SetB or the control plasmid pBAD18. Transformants were tested for resistance to ONPTG by following the growth curves of cultures in the absence or presence of arabinose; the latter condition is expected to induce expression of SetA or SetB in the corresponding transformants. In the pBAD18 transformant, the presence of ONPTG caused a decrease in the growth rate (Fig. 5A). The severity of the growth inhibition was dependent upon the concentration of ONPTG in the medium. The presence of arabinose slightly decreased the growth yield (compare Fig. 5, A and B without ONPTG) but did not change the pattern of growth inhibition seen with increasing concentrations of ONPTG (Fig. 5B). Similarly, the pBAD-SetB transformant was as sensitive to ONPTG as the control pBAD18 transformed strain in medium with or without arabinose (Fig. 5, E and F). In contrast, the growth of the pBAD-SetA transformant was uninhibited in arabinose medium at ONPTG concentrations up to 1.71 mM (Fig. 5D). However, in the absence of arabinose, this strain was as sensitive to ONPTG as the pBAD18 transformant (Fig. 5C). These results indicate that ONPTG and likely other aryl- or alkyl-beta -glycosides are substrates for SetA efflux.


View larger version (27K):
[in this window]
[in a new window]
 
Fig. 5.   Overexpression of SetA protects cells from the toxic sugar analogue ONPTG. Overnight cultures of stains ML308/pBAD18 (A and B), ML308/pBAD-SetA (C and D), and ML308/pBAD-SetB (E and F) grown in LB/ampicillin were diluted 100 fold into the same medium (A, C, and E) or medium with 15 mM arabinose (B, D, and F). After 1.6 h of growth, ONPTG was added to the indicated concentrations. The cultures were grown in a 96-well plate and monitored with a 96-well plate reader. , 0 mM ONPTG; diamond , 0.42 mM ONPTG; open circle , 0.86 mM ONPTG; triangle , 1.71 mM ONPTG; box-plus , 3.42 mM ONPTG.

It was shown above with the in vitro SetA lactose transport assay that positively charged sugars such as glucosamine and aminophenyl-glucosides are good inhibitors of lactose accumulation (Fig. 3, B and D). This feature is reminiscent of the aminoglycoside family of antibiotics such as kanamycin and neomycin. A cell-based assay was used to determine whether kanamycin and neomycin are substrates for SetA efflux, which would become apparent as resistance to the antibiotics. An E. coli strain deleted for acrAB, which encodes a multiple antibiotic efflux pump, was transformed with either plasmid pBAD-SetA or control plasmid pBAD18. The resulting transformants were tested on antibiotic gradient plates with or without arabinose. Again, arabinose is expected to induce expression of setA. In arabinose-containing medium, the strain with the setA plasmid was only slightly more resistant to kanamycin (31% growth across the gradient plate for pBAD-SetA versus 25% growth for pBAD18) and neomycin (63% growth for pBAD-SetA versus 53% growth for pBAD18) than the control strain with pBAD18 (Fig. 6). No difference in resistance to the tested antibiotics was observed in the absence of arabinose. As an additional control, both strains with either pBAD-SetA or pBAD18 showed identical sensitivity to the fluoroquinolone ciprofloxacin with or without arabinose in the medium. The data suggest that kanamycin and neomycin are poor substrates for SetA efflux.


View larger version (84K):
[in this window]
[in a new window]
 
Fig. 6.   Hyperexpression of SetA confers low level resistance to aminoglycosides. Resistance of strains MN102/pBAD18 and MN102/pBAD-SetA to the indicated antibiotic was determined by the gradient plate assay. Strains were tested on plates with or without arabinose. The maximum concentrations of the antibiotic in each plate were: 15 µg/ml kanamycin, 15 µg/ml neomycin, and 0.008 µg/ml ciprofloxacin.

It can be concluded from the in vitro and cell-based transport assays that SetA and SetB each can efflux glucose and lactose. Because the secretion of glucose was observed in the metabolism of lactose (6), the question emerged as to whether the set genes are involved in lactose utilization. To answer this question, all of the set genes (setA, setB, and setC) were disrupted in E. coli strains W3110 and ML308 by the insertion of different antibiotic resistance cassettes (see "Materials and Methods"). The mutant alleles were confirmed by polymerase chain reaction as well as by P1 mapping (data not shown). The growth rate of the triple mutant was identical to the parental strain in LB or minimal medium with lactose, glucose, glycerol, succinate, or lactate as the sole carbon source (data not shown). Also, the addition of lactose to log phase cells that were previously growing on glycerol did not cause any noticeable growth inhibition in the triple mutant compared with the parental strain. The triple mutant in the ML308 genetic background was further tested for glucose efflux in the presence of lactose. In this assay, washed log phase cells were placed in the coupled assay solution, which contained the enzymes hexokinase and glucose-6-phosphate dehydrogenase. The appearance of glucose was monitored as an increase in the absorbance at 340 nm because of the accumulation of NADPH as one of the final products of the sequential action of the two enzymes on glucose. In both the triple mutant and the parental strain, the addition of lactose led to the immediate appearance of glucose in the medium at a rate that reached steady state within 1.5 min (data not shown). No difference in the steady state rate of glucose efflux between the triple mutant and parental strains was observed (Fig. 7). As a control to show that the detected glucose was due to its secretion from the cell and not to the action of free beta -galactosidase in the medium on extracellular lactose, preincubation of both the triple mutant and parental strains with the protonophore CCCP at 60 µM completely abolished the signal (Fig. 7). The complete inhibition of glucose efflux by treatment with CCCP indicated that there was no free beta -galactosidase in the medium.


View larger version (19K):
[in this window]
[in a new window]
 
Fig. 7.   Lactose-dependent steady state glucose efflux in the triple set mutant and the parental strain. Log phase cells of strains ML308 (parent) and JL172 (triple set mutant) were placed in assay buffer for glucose. Steady state glucose efflux was established at 1.5 min after the addition of lactose to 1 mM. The time and A340 at 1.5 min after lactose addition was arbitrarily set to 0 in the graph. The absorbance was normalized to the intracellular beta -galactosidase activity (in Miller units). As control for extracellular beta -galactosidase activity, cells were preincubated in assay buffer for 3 min in the presence of 60 µM CCCP (filled symbols) before the addition of lactose. triangle , parent; black-triangle, parent with CCCP; open circle , triple mutant; , triple murant with CCCP.

SetA and SetB can secrete inducers of the lac operon. The presence of efflux proteins for lactose or IPTG would be expected to lower the intracellular concentration of the inducer. To determine whether the triple mutant is more sensitive than the parental strain to induction of the lac operon by lactose or IPTG, the triple mutant in the W3110 strain background, which is wild type for the lac operon, along with the parental strain were titrated with IPTG or lactose and the levels of beta -galactosidase activity in the cells after 1 h of exposure to the inducer was measured. No difference was observed between the triple mutant and the parental strain in this set of experiments (Figs. 8, A and B). Given that the setA hyperexpressing strain does not respond at all to lactose and is desensitized to IPTG, this finding suggested that the level of SetA, and possibly SetB, is low in wild type cells. In an effort to employ a more sensitive assay for SetA activity, the kinetics of lac operon induction at low concentrations of IPTG (2.5 and 5.0 µM) were examined in both the triple mutant and the parental strain. It was shown previously that induction of the lac operon, as measured by the level of beta -galactosidase activity, is bi-phasic at low concentrations of IPTG (14). This is manifest as a lag in the rate of synthesis of beta -galactosidase for 2-3 h before a high steady state rate is attained. This bi-phasic behavior is dependent on the lacY gene and can be explained as a positive feedback loop; leaky expression of the lac operon results in a low basal level of LacY permease activity, which catalyzes the uptake of the inducer IPTG, leading to higher rates of synthesis of the lac operon. If the SetA protein is present at an appreciable amount in the wild type cell, the triple mutant might be expected to reach the high steady state rate of beta -galactosidase synthesis sooner, because there would be no efflux protein to counteract the initial low levels of LacY. As shown in Fig. 8C, the kinetics of lac operon induction, with 2.5 and 5.0 µM IPTG, is the same for both the triple mutant and the parental strain. This result further supports the hypothesis that the expression of setA is low in the wild type cell. This conclusion is also consistent with our observation that the triple mutant is not more sensitive than the parental strain to growth inhibition by toxic sugar analogues such as IPTG, ONPTG, or methyl-alpha -glucoside (data not shown).


View larger version (21K):
[in this window]
[in a new window]
 
Fig. 8.   Sensitivity of the triple set mutant and the parental strain to induction of the lac operon with IPTG and lactose. Log phase cultures of strains W3110 (parent) and JL186 (triple set mutant) were grown in the presence of the indicated concentration of IPTG (A) or lactose (B) for 1 h. Subsequently, the beta -galactosidase activities (in Miller units) in the cultures were determined. C, time course of lac operon induction with 2.5 and 5.0 µM IPTG. IPTG was added to log phase cultures of strains W3110 (parent) and JL186 (triple set mutant) to final concentrations of 2.5 and 5.0 µM at time 0. The beta -galactosidase activity (Miller Units) in the cultures was followed for 4 h. Each data point represents the mean of duplicate determinations ± range.


    DISCUSSION
TOP
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
RESULTS
DISCUSSION
REFERENCES

Biochemical characterization of the newly discovered SET proteins showed that SetA and SetB can transport selective monosaccharides and disaccharides. Using an inside-out vesicle system, glucose and lactose were demonstrated to be substrates for SetA and SetB efflux. In addition, as judged by the set of substrates considered here, SetA has broader substrate specificity than SetB. SetA also transports glucosides and galactosides with alkyl or aryl substituents. The results of these in vitro transport studies were confirmed using a series of cell-based assays for transport. Overexpression of SetA or SetB desensitized cells to the induction of the lac operon with lactose as the inducer but only SetA overexpression desensitized cells to IPTG. Transport of aryl-beta -glycosides by SetA was confirmed by a growth sensitivity assay, because cells that overexpress SetA were more resistant to the toxic sugar analogue ONPTG. Although vesicles or cells with the setC expression constructs were unable to transport glucose, galactose, or lactose, the high degree of protein sequence identity of SetC to SetB (70%) suggests that the function is also conserved. It remains possible that setC may be poorly expressed in our plasmid constructs. However, each of the set genes, when present on a high copy number plasmid and expressed from the strong lac promoter, inhibited growth when induced with IPTG (data not shown), suggesting that a protein product was expressed in all cases. Additional transport studies with other sugars are warranted to identify substrates for SetC.

The range of substrates that are transported by SetA and SetB suggested possible roles for the SET proteins in lactose metabolism and in the secretion of nonmetabolizable sugar analogues. However, a mutant disrupted in all three set genes showed no defect in lactose utilization; growth was normal in minimal medium supplemented with lactose as the sole carbon source, and glucose efflux was normal. In addition, no increase in sensitivity to the sugar analogues IPTG, methyl-beta -D-thiogalactoside, and ONPTG was observed. These results indicate that other transporters, possibly one of the newly identified E. coli members of the SET family,1 are responsible for the observed efflux of glucose in wild type cells. Interestingly, it was recently reported that the E. coli multidrug efflux pump cmlA may have IPTG efflux activity (26).

Our results suggest that the set genes are poorly expressed in E. coli under normal laboratory growth conditions. Consistent with this hypothesis, the triple setABC mutant has no observable phenotype. Because the expression of many bacterial efflux systems are induced by their substrates (3), it is likely that the true inducers or inducing conditions for the set genes have yet to be found. It is quite possible that the set genes function in a protective role, because hyperexpression of SetA was shown to protect cells against ONPTG. However, conditions that induce bacterial gene expression are frequently not obvious. Operons that were once thought to be poorly expressed (e.g. the beta -glucoside operon (27, 28) and the chitose operon (29)) have been shown to be induced under conditions that were not apparent when these systems were first discovered. Indeed, methyl-beta -glucoside and methyl-alpha -glucoside can modestly induce (about 4-fold) setA expression.3

The growth inhibitory effects of toxic sugar analogues may result from either the inhibition of uptake of a bona fide sugar substrate or the interference with normal metabolism by the intracellularly accumulated sugar analogues. The effectiveness of an efflux system to protect the cell from a toxic sugar analogue would be dependent on the rate of entry of the analogue into the cell and the activity of the efflux system. A sugar analogue that would otherwise be poisonous but have no pathway to enter the cell is harmless. As exemplified by ONPTG, sensitivity is dependent on the expression of lacY, the transporter for beta -galactosides (24, 25). On the other hand, it would be difficult to protect a cell from a toxic sugar analogue that enters the cell through a highly efficient and constitutively expressed uptake system. It is likely that the physiological substrates for Set protein efflux would also be expected to be substrates for E. coli uptake systems. Under this scenario, the role of the Set proteins would be to secrete toxic sugar analogues that are taken up by mistake. However, it remains possible that the Set proteins function to remove toxic sugar-like by products that are produced by normal E. coli metabolism.

High level expression of SetA alone would be expected to be sufficient to protect cells from selective sugar analogues that are not modified upon entry. Among the known sugar transporters in bacteria, one family of transporters, the PTS (phosphoenolpyruvate-sugar phosphotransferase system) family, modifies the sugars upon entry by the addition of a phosphate group (30, 31). Our biochemical studies showed that negatively charged sugars are not substrates for SetA efflux. This is reminiscent of an unidentified transporter for the removal of MG (9, 11, 12). In the case of MG, entry into the cells is mainly through ptsG and ptsM, the PTS uptake proteins for glucose and mannose, respectively (13). MG accumulates in the cell predominately in the phosphorylated form as MG-6-phosphate (9). Presumably a phosphatase converts MG-6-phosphate to MG before secretion by the unidentified transporter. This detoxification system would rely on the unidentified phosphatase to discriminate between the phosphorylated sugar analogue and the bona fide phosphorylated sugar, because only the uncharged sugar would be a substrate for efflux. We have not tested the set mutants for defects in MG secretion, although MG inhibits SetA catalyzed in vitro lactose transport (data not shown). However, the triple set mutant was not more sensitive to the growth inhibitory effect of MG as compared with the parental strain (data not shown).

The elucidation of the physiological function of the set genes would depend on finding growth conditions where the set mutants display a defective phenotype. Because the data suggest that the set genes are poorly expressed under normal laboratory growth conditions, a first step would be to identify conditions that induce set gene expression. Reporter strains have been constructed that carry chromosomal set fusions to lacZ or other reporter enzymes to screen for conditions or sugars that induce set gene expression. It may also be possible to design a genetic selection for chromosomal mutants that are up-regulated for setA expression based on its glycoside (such as IPTG) efflux activity.

    ACKNOWLEDGEMENTS

We thank J. Li and T.-F. Wang for helpful comments on our manuscript. In addition, we are grateful for the encouragement and assistance received from members of our research group.

    FOOTNOTES

* The costs of publication of this article were defrayed in part by the payment of page charges. The article must therefore be hereby marked "advertisement" in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

Dagger Present address: Infectious Diseases Department, Pfizer Central Research, B118 Bin 2, Groton, CT 06340.

§ To whom correspondence should be addressed. Tel.: 734-622-5961; Fax: 734-622-7158; E-mail: Eric.Olson@wl.com.

1 M. Saier, manuscript in preparation.

3 J. Y. Liu, unpublished observations.

    ABBREVIATIONS

The abbreviations used are: MG, methyl-alpha -glucoside; IPTG, isopropyl-beta -D-thiogalactoside; ONPTG, o-nitrophenyl-beta -D-thiogalactoside; CCCP, carbonyl cyanide m-chlorophenylhydrazone; MOPS, 4-morpholinepropanesulfonic acid.

    REFERENCES
TOP
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
RESULTS
DISCUSSION
REFERENCES

1. Liu, J. Y., Miller, P. F., Gosink, M., and Olson, E. R. (1998) Mol. Microbiol. 31, 1845-1851
2. Pao, S. S., Paulsen, I. T., and Saier, M. H., Jr. (1998) Microbiol. Mol. Biol. Rev. 62, 1-34[Abstract/Free Full Text]
3. Paulsen, I. T., Brown, M. H., and Skurray, R. A. (1996) Microbiol. Rev. 60, 575-608[Abstract/Free Full Text]
4. Reizer, J., Novotny, M. J., Panos, C., and Saier, M. H., Jr. (1983) J. Bacteriol. 156, 354-361[Abstract/Free Full Text]
5. Reizer, J., and Saier, M. H., Jr. (1983) J. Bacteriol. 156, 236-242[Abstract/Free Full Text]
6. Huber, R. E., Pisko Dubienski, R., and Hurlburt, K. L. (1980) Biochem. Biophys. Res. Commun. 96, 656-661[CrossRef][Medline] [Order article via Infotrieve]
7. Huber, R. E., and Hurlburt, K. L. (1984) Can. J. Microbiol. 30, 411-415[Medline] [Order article via Infotrieve]
8. Wilson, T. H., and Kashket, E. R. (1969) Biochim. Biophys. Acta 173, 501-508[Medline] [Order article via Infotrieve]
9. Winkler, H. H. (1971) J. Bacteriol. 106, 362-368[Abstract/Free Full Text]
10. Andrews, K. J., and Lin, E. C. (1976) J. Bacteriol. 128, 510-513[Abstract/Free Full Text]
11. Hoffee, P., Englesberg, E., and Lamy, F. (1964) Biochim. Biophys. Acta 79, 337-350[Medline] [Order article via Infotrieve]
12. Hagihira, H., Wilson, T. H., and Lin, E. C. C. (1963) Biochim. Biophys. Acta 78, 505-515[Medline] [Order article via Infotrieve]
13. Stock, J. B., Waygood, E. B., Meadow, N. D., Postma, P. W., and Roseman, S. (1982) J. Biol. Chem. 257, 14543-14552[Abstract/Free Full Text]
14. Herzengerg, L. (1959) Biochim. Biophys. Acta 31, 525-538[Medline] [Order article via Infotrieve]
15. Sambrook, J., Fritsh, E. F., and Maniatis, T. (1989) Molecular Cloning: A Laboratory Manual , 2nd Ed. , Cold Spring Harbor Laboratory, Cold Spring Harbor, NY
16. Yamaguchi, A., Udagawa, T., and Sawai, T. (1990) J. Biol. Chem. 265, 4809-4813[Abstract/Free Full Text]
17. Miller, J. H. (1972) Experiments in Molecular Genetics , pp. 352-355, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY
18. Gambino, L., Gracheck, S. J., and Miller, P. F. (1993) J. Bacteriol. 175, 2888-2894[Abstract/Free Full Text]
19. Fellay, R., Frey, J., and Krisch, H. (1987) Gene (Amst.) 52, 147-154[CrossRef][Medline] [Order article via Infotrieve]
20. Russell, C. B., Thaler, D. S., and Dahlquist, F. W. (1989) J. Bacteriol. 171, 2609-2613[Abstract/Free Full Text]
21. Hamilton, C. M., Aldea, M., Washburn, B. K., Babitzke, P., and Kushner, S. R. (1989) J. Bacteriol. 171, 4617-4622[Abstract/Free Full Text]
22. Silhavy, T. J., Berman, M. L., and Enquist, L. W. (1984) Experiments with Gene Fusions , pp. 107-112, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY
23. Burstein, C., Cohn, M., Kepes, A., and Monod, J. (1965) Biochim. Biophys. Acta 95, 634-639[Medline] [Order article via Infotrieve]
24. Muller Hill, B., Crapo, L., and Gilbert, W. (1968) Proc. Natl. Acad. Sci. U. S. A. 59, 1259-1264[Free Full Text]
25. Flagg, J. L., and Wilson, T. H. (1976) J. Bacteriol. 128, 701-707[Abstract/Free Full Text]
26. Bohn, C., and Bouloc, P. (1998) J. Bacteriol. 180, 6072-6075[Abstract/Free Full Text]
27. Khan, M. A., and Isaacson, R. E. (1998) J. Bacteriol. 180, 4746-4749[Abstract/Free Full Text]
28. Reynolds, A. E., Felton, J., and Wright, A. (1981) Nature 293, 625-629[CrossRef][Medline] [Order article via Infotrieve]
29. Keyhani, N. O., and Roseman, S. (1997) Proc. Natl. Acad. Sci. U. S. A. 94, 14367-14371[Abstract/Free Full Text]
30. Reizer, J., Saier, M. H., Jr., Deutscher, J., Grenier, F., Thompson, J., and Hengstenberg, W. (1988) Crit. Rev. Microbiol. 15, 297-338[Medline] [Order article via Infotrieve]
31. Postma, P. W., Lengeler, J. W., and Jacobson, G. R. (1993) Microbiol. Rev. 57, 543-594[Abstract/Free Full Text]
32. Bolivar, F., Rodriguez, R. L., Greene, P. J., Betlach, M. C., Heyneker, H. L., and Boyer, H. W. (1977) Gene (Amst.) 2, 95-113[Medline] [Order article via Infotrieve]
33. Guzman, L. M., Belin, D., Carson, M. J., and Beckwith, J. (1995) J. Bacteriol. 177, 4121-4130[Abstract/Free Full Text]


Copyright © 1999 by The American Society for Biochemistry and Molecular Biology, Inc.
Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati    What's this?


This article has been cited by other articles:


Home page
Genes Dev.Home page
B. Gorke and J. Vogel
Noncoding RNA control of the making and breaking of sugars
Genes & Dev., November 1, 2008; 22(21): 2914 - 2925.
[Abstract] [Full Text] [PDF]


Home page
Appl. Environ. Microbiol.Home page
J.-H. Kim, B.-C. Lim, S.-J. Yeom, Y.-S. Kim, H.-J. Kim, J.-K. Lee, S.-H. Lee, S.-W. Kim, and D.-K. Oh
Differential Selectivity of the Escherichia coli Cell Membrane Shifts the Equilibrium for the Enzyme-Catalyzed Isomerization of Galactose to Tagatose
Appl. Envir. Microbiol., April 15, 2008; 74(8): 2307 - 2313.
[Abstract] [Full Text] [PDF]


Home page
Proc. Natl. Acad. Sci. USAHome page
J. T. Mettetal, D. Muzzey, J. M. Pedraza, E. M. Ozbudak, and A. van Oudenaarden
Predicting stochastic gene expression dynamics in single cells
PNAS, May 9, 2006; 103(19): 7304 - 7309.
[Abstract] [Full Text] [PDF]


Home page
J. Bacteriol.Home page
R. Dippel and W. Boos
The Maltodextrin System of Escherichia coli: Metabolism and Transport
J. Bacteriol., December 15, 2005; 187(24): 8322 - 8331.
[Abstract] [Full Text] [PDF]


Home page
JCBHome page
J. M.G. Vilar, C. C. Guet, and S. Leibler
Modeling network dynamics: the lac operon, a case study
J. Cell Biol., May 12, 2003; 161(3): 471 - 476.
[Abstract] [Full Text] [PDF]


Home page
J. Bacteriol.Home page
N. Kennerknecht, H. Sahm, M.-R. Yen, M. Patek, M. H. Saier Jr., and L. Eggeling
Export of L-Isoleucine from Corynebacterium glutamicum: a Two-Gene-Encoded Member of a New Translocator Family
J. Bacteriol., July 15, 2002; 184(14): 3947 - 3956.
[Abstract] [Full Text] [PDF]


Home page