- Open Access
Optimisation of surface expression using the AIDA autotransporter
© Gustavsson et al; licensee BioMed Central Ltd. 2011
Received: 23 June 2011
Accepted: 14 September 2011
Published: 14 September 2011
Bacterial surface display is of interest in many applications, including live vaccine development, screening of protein libraries and the development of whole cell biocatalysts. The goal of this work was to understand which parameters result in production of large quantities of cells that at the same time express desired levels of the chosen protein on the cell surface. For this purpose, staphylococcal protein Z was expressed using the AIDA autotransporter in Escherichia coli.
The use of an OmpT-negative E. coli mutant resulted in successful expression of the protein on the surface, while a clear degradation pattern was found in the wild type. The expression in the mutant resulted also in a more narrow distribution of the surface-anchored protein within the population. Medium optimisation showed that minimal medium with glucose gave more than four times as high expression as LB-medium. Glucose limited fed-batch was used to increase the cell productivity and the highest protein levels were found at the highest feed rates. A maintained high surface expression up to cell dry weights of 18 g l-1 could also be achieved by repeated glucose additions in batch cultivation where production was eventually reduced by low oxygen levels. In spite of this, the distribution in the bacterial population of the surface protein was narrower using the batch technique.
A number of parameters in recombinant protein production were seen to influence the surface expression of the model protein with respect both to the productivity and to the display on the individual cell. The choice of medium and the cell design to remove proteolytic cleavage were however the most important. Both fed-batch and batch processing can be successfully used, but prolonged batch processing is probably only possible if the chosen strain has a low acetic acid production.
Bacterial surface display of proteins is a topic that has gathered a lot of research interest since its discovery. This technology is of interest for several applications, including live vaccine development, bioremediation through adsorption to expressed binder proteins, library screening and the development of whole cell biocatalysts [1, 2].
Protein expression in Gram-negative bacteria generally offers several advantages over Gram-positive, mainly due to the knowledge and understanding of growth and production in Escherichia coli. However, surface expression in this host is theoretically more complicated since transport of the expressed proteins must take place over two cell membranes compared to only one in Gram-positive strains. Additionally, there is a lack of protein transporters in E. coli laboratory strains and few proteins can therefore be found outside the cell. The discovery of the type V autotransporter family in pathogenic strains and its successful transplantation into commercial strains has however opened up new possibilities with regard to surface expression .
Autotransport of a protein to the outside of a cell is given by a vector-based mechanism present in a wide family of Gram-negative microorganisms. The vector consists of three major parts: an N-terminal signal sequence for passage over the inner membrane, a passenger protein to be exposed on the cell surface and a C-terminal β-barrel anchored in the outer membrane. The native function of autotransporters is the export of virulence factors in pathogenic Gram-negative bacteria, and the natural passengers include for example proteases, adhesins and toxins . Ultimately, the fate of the passenger protein is either to remain anchored to the cell surface or to be cleaved off and released to the surrounding environment. The E. coli Adhesin Involved in Diffuse Adherence (AIDA-I)  is an example of an autotransporter that has been used for surface display of enzymes , enzyme inhibitors , potential antigens for vaccine development  and several other applications.
Successful use of surface expression technology for production of live vaccines or biocatalysis requires the production of large quantities of cells while maintaining a desired level of surface expression. The understanding of which were the main factors to influence the development of such a process was therefore the goal of this work. The strategy included the investigation of the influence of the host strain, the choice of medium and the medium effects on induction of the AIDA wild type promoter, and the effect of the chosen process technique. Since effects relating to the protein structure was not the task of this work, a protein with a positive excretion potential was chosen. Protein Z, the synthetic B domain of staphylococcal protein A , was selected since it is a naturally surface-anchored protein in Staphylococci but also because it is able to bind to the Fc region of IgG which makes it easy to detect. Expression takes place from the native promoter for AIDA-I, aidA. This, together with the low plasmid copy number, should ensure that the cellular burden of the overexpression system is also minimised.
Materials and methods
Bacterial strain and medium
Escherichia coli K12 strain 0:17 (sup+, F-)  and 0:17ΔOmpT, both provided by Professor Leif Isaksson, were used in this work. Cultivations were performed in minimal salt medium and Luria-Bertani (LB) medium. The composition of the minimal salt medium was (per litre): 7 g (NH4)2SO4, 1.6 g KH2PO4, 6.6 g Na2HPO4 ·2H2O and 0.5 g (NH4)2-H-Citrate. Sterile glucose solution (500 g l-1) was added to the minimal medium to a concentration of 10 g l-1 unless otherwise stated. In addition, the minimal medium was supplemented with 1 ml l-1 trace element solution and 1 ml l-1 MgSO4 solution (1M), both sterile filtered through 0.2 μm filters (Sartorius) The trace element solution consisted of (per litre): 0.5 g CaCl2 ·2H2O, 16.7 g FeCl3 ·6H2O, 0.18 g ZnSO4 ·7H2O, 0.16 g CuSO4·5H2O, 0.15 g MnSO4 ·4H2O, 0.18 g CoCl2 ·6H2O, 20.1 g Na-EDTA. In the high-density bioreactor cultivations, additional trace element solution and MgSO4 was added for every 20 OD units. The feed solution used during fed-batch cultivations consisted of 30% (w/w) glucose in distilled water.
The LB medium contained (per litre): 10 g tryptone, 5 g yeast extract and 10 g NaCl. In some cultivations the LB medium was additionally supplemented with glucose to a concentration of 10 g l-1, as noted. The cultures were supplemented with 100 mg ampicillin per litre of medium to ensure plasmid stability.
Construction of vector pMK90-Z
EJ1FORZZ-5'- CGA GCG TAC CCG GGA CGT AGA CAA CAA ATT CAA CAA AGA AC
EJ4FORSS-5'- AAT AAG GCC TAC AGT ATC ATA TGG
EJ5REVTRANS-5'- CAG CAT GGA ATT TAT AAA TAT CCC
EJ8REVZZ-5'- GCG ACA GTA GAC CCG GGA TTT CGG CGC CTG AGC ATC ATT TAG
EJ10REVTRANS-5'- CTG TAG CAG AGA GCA GCT TTG C
Unless otherwise stated, all cultivations where performed at 37°C in minimal salt medium. Small-scale cultivations were performed using baffled shake flasks and a working volume of 10% to ensure sufficient aeration. Flasks were placed in a heated incubator (Infors Minitron) with shaking (180 RPM).
The initial batch phase was run with 3 g l-1 glucose with a yield of 0.5, giving an approximate cell mass of 1.5 g l-1 at the start of the glucose feed. Three feed exponents were chosen as: 0.1 h-1, 0.2 h-1 and 0.4 h-1, respectively. Each experiment was run in duplicate.
Bioreactor batch cultivations were performed in a 15 l stirred tank bioreactor (Belach Bioteknik AB, Sweden) with a working volume of 10 l. Inoculation was done from an overnight shake flask culture in exponential phase. To reach a high cell mass without the use of fed-batch technology, repeated batch-wise additions of glucose (50% w/w) to a concentration of 10 g l-1 were made when the previously added glucose was consumed.
The pH was kept constant at 7.0 during the bioreactor cultivations through automatic titration with 25% and 12.5% (v/v) ammonium hydroxide for the 15 l and six-parallel reactors, respectively. The dissolved oxygen tension (DOT) was kept above 30% at all times by manually varying the stirrer speed. The airflow was initially 0.1 VVM and was then increased stepwise to 1 VVM during the cultivation. Sterile antifoam was manually added when necessary to avoid excess foaming.
The increase in cell mass was monitored by measuring the optical density at 600 nm (OD600) using a photometer (Novaspec, Pharmacia Biotech). The samples during the cultivation were diluted to approximately the same OD600 using saline (0.9% NaCl) and the actual OD600 was obtained by multiplying by the dilution factor. For cultivations in the 15 l reactor, cell dry weight was monitored by centrifugation (10 minutes, 4500 rpm) of 5 ml samples in triplicate in dried, pre-weighed glass tubes. The resulting pellets were washed with saline, dried overnight at 105°C and allowed to cool in a desiccator. The cell dry weights were obtained as the weight increase of the pre-weighed tubes.
Samples of acetic acid (HAc) formation were taken by filtering the supernatants obtained from the dry weight samples through a 0.2 μm syringe filter (Sartorius). The acetic acid concentrations were determined using a commercially available kit (Boehringer-Mannheim no. 148261) in accordance with the instructions of the manufacturer.
Outer membrane protein
Outer membrane protein (OMP) fractions were isolated as described in the literature . The protein solutions obtained were separated on a 10% SDS-PAGE gel (NuPAGE, Invitrogen) and blotted to nitrocellulose membranes (Bio-Rad). The membranes were blocked overnight with phosphate buffered saline (PBS, 9g l-1 NaCl, 0.21g l-1 KH2PO4, 0.726 g l-1 Na2HPO4, pH 7.4) containing 5% milk powder. After blocking, the membranes were incubated with rabbit serum against the C-terminal domain of AIDA (AIDAc) followed by the addition of goat anti-rabbit IgG linked to alkaline phosphatase. Finally the membranes were developed by the addition of SIGMA FAST BCIP/NBT (5-Bromo-4-chloro-3-indolyl phosphate/Nitro blue tetrazolium, Sigma) and the developed membranes were scanned.
Samples taken for monitoring the surface expression of protein Z were diluted to an OD600 of approximately 1, mixed with equal parts of sterile glycerol solution (50% v/v) and frozen at -70°C. Glycerol was added to protect the cells from damage due to ice crystal formation. A sample was taken from a cultivation and stored for a month to understand the analytical stability during this procedure. The surface expression was then compared with that of a fresh sample of the same OD600 from an identical cultivation, and no difference was found (data not shown).
On the day of analysis, 50 μl samples were thawed and washed with followed 800 μl PBS followed by centrifugation (10 minutes, 4500 rpm, 4°C) in a tabletop centrifuge for Eppendorf tubes. After centrifugation, the cells were labelled using the antibody-binding properties of protein Z as follows. The cell pellets were resuspended in 100 μl of 100 nM biotinylated polyclonal human IgG1 and incubated at room temperature for 1 h with end-over-end mixing. After washing the sample with 100 μl PBS, the tubes were covered in foil and the cells were incubated on ice with Streptavidin-AlexaFluor488 (Invitrogen) diluted 1:1000 in PBS. After a final wash with 100 μl PBS, the sample was resuspended in 200 μl ice cold PBS and analysed using a FACS VantageSE flow cytometer (BD Bioscience). Fluorescence was compared to that of a negative control (E. coli containing the empty surface expression vector pMK90).
To determine the amino acid concentration in the cultivation medium, samples were taken by centrifugation of cell suspensions followed by filtration through a 0.2 μm syringe filter and finally storage at -20°C. On the day of analysis, any proteins present in the samples were precipitated by the addition of 40 μl trichloroacetic acid (TCA, 0.612 M) per 500 μl of sample, vortexing for 10 s and incubation for 20 min at room temperature. After incubation, the samples were centrifuged (13 000 rpm, 10 min). The supernatants were then sent for commercial HPLC analysis.
Strain-dependent expression of protein Z
Following confirmation of the localisation of the AIDA-Z construct in the outer membrane, the correct orientation of protein Z towards the external environment was verified using flow cytometry. Intact cells were labelled using biotinylated human IgG coupled to streptavidin-AlexaFluor488, followed by flow cytometric analysis (Figure 2B). The results confirm that protein Z was successfully expressed on the cell surface and accessible to the medium. In addition, the results show that the surface-expressed protein Z is functional with respect to IgG binding. The fluorescence is markedly reduced in the wild type indicating that a lower amount of functional protein is located on the surface in this strain, supporting the findings from the Western blot. This shows that growing the cells at a lower temperature is not sufficient to remove the proteolysis due to OmpT, and it is clear that the OmpT-negative mutant is needed to maximise the surface expression of protein Z. Finally, the surface expression of protein Z in 0:17ΔOmpT grown in minimal medium at 30 and 37°C was compared using flow cytometry analysis. A higher expression was verified at 37°C (550 fluorescence units per cell, compared to 160 at 30°C) and all subsequent experiments were therefore carried out at this temperature, which is also an advantage during process conditions due to the higher growth rate.
Expression in stationary phase
Effects of growth medium
Effects of growth rate
It was then hypothesized that surface expression might be inversely coupled to the growth rate, since addition of glucose lead to reduced expression. Furthermore, going from minimal medium to LB medium and finally to LB medium with glucose represents an increase in growth rate while the cells produced at progressively lower rates. This suggests that a lower growth rate, but not stretching as far as total depletion, might be a better choice for production.
From the experiments reported above, a high growth rate seems to promote high expression. The highest possible growth rates would of course be reached in batch cultivation, but this is generally a concept avoided in commercial production due to the low cell productivity and risk of accumulation of unwanted by-products such as acetic acid.
The transfer of a protein to the outer part of the cell exposes the protein to a range of different challenges specifically in relation to proteolytic degradation. From our different experiments with the AIDA system  we draw the conclusion that the critical path is the translocation over the outer membrane and that proteins are often cleaved close to the N-terminus, i.e. in the outer part of the protein with respect to the cell wall. The OmpT cleavage of protein Z could here be relatively easily removed due to knowledge of the substrate specificity and the direct use of this mutant is probably a good advice for a randomly selected protein. For other proteins, in this case selected Salmonella epitopes, this has not been as simple .
The design of the cultivation medium resulted in a great impact on the surface expression where the minimal medium with glucose as carbon/energy source was a considerably better choice than the other media tested. The constant increase in the growth rate between these media, from minimal to rich media, and the corresponding decrease in protein expression, makes it is tempting to suggest that it is a lower growth rate that causes the better expression levels. It has been found, for many proteins that are difficult for the cell to produce, that this is the case . If these proteins are not immediately degraded they need more time to be produced in an active form or alternatively to be translocated to other compartments before correct folding can take place. In different recombinant protein expression systems, a decrease in the temperature is often used for the reason of giving a lower rate of synthesis and thus a lower growth rate, which can sometimes promote a higher expression level. Even though a higher growth rate in minimal medium gave higher expression levels in our case, it can not be excluded that growth rate may have an influence in rich media such as LB since the cells grow even faster than what can be achieved in minimal medium experiments. There might thus exist an optimum growth rate for maximum expression regarding the present protein and the weak expression system used. A too low carbon supply leads to too low energy levels, and a too high supply of carbon and amino acids leads to overload of the cellular capacity.
Our findings on surface expression in different media correspond well with recent findings of Benz et al. , who studied the intracellular expression of β-galactosidase under the control of the aidA promoter, i.e. the same promoter that was used in the present study. For this intracellular expression system the expression in minimal medium was also better than in a complex medium. The expression difference was approximately the same as that observed here, which supports the idea that the reduced expression in LB medium is rather coupled to unknown effects of promoter control in certain media than to the surface transport process.
The reduced surface expression when entering the stationary phase at carbon/energy starvation indicates that the aidA promoter is probably not induced by ppGpp formation by a spoT-dependent stringent response. Furthermore, since amino acids were depleted in both LB media, although to different degrees, this should lead ppGpp accumulation due to a relA-dependent stringent response, which should lead to an increased expression. Since this did not happen, the results indicate that the aidA promoter is not positively affected by the stringent response.
These findings are however to some extent in contrast to the findings of Benz et al who found an increased expression from the aidA promoter during entry into stationary phase. Their study also verified that there was not a coupling of promoter induction to the general carbon starvation response system (rpoS). However, it should be noted that experiments were performed using a complex medium and it cannot be conclusively said which limitation led to stationary phase entry in this study. Thus, the effect observed may be different from the one seen in the present work and could be due to regulatory components of other substrates.
Fed-batch cultivation was initially applied to optimise a simultaneous cell mass and product accumulation. While high expression levels were found with exponential profiles, the establishment of a standard industrial high cell density profile protocol, with exponential followed by constant feed, was not considered as a way to go since this would rapidly lead to very low growth rates which we found unfavourable for expression.
We turned instead to batch cultivation with repeated additions of glucose to increase the cell density. This resulted in comparatively high cell values while the production levels were reasonably stable. The development of a commercial process around this batch concept seems also to result in more stable product values and any undesired variation in the glucose supply, which would negatively influence the production, can be avoided since the glucose concentration is constantly kept at non-limiting levels through batch wise additions (Figure 6).
However, the high cell density values were only reached since the 0:17 E. coli strain produces low amounts of acetic acid. The negative effects of acetic acid on growth and recombinant protein production have been shown before  and accumulation needs to be avoided. Different strains of E. coli are known to produce different amounts of acetic acid even though their growth rate is similar. For 0:17 and another wild type K12 strain, AF1000 (MC4100 relA+) the critical acetic acid concentration were growth is impaired is reached at very different levels; around 8 and 3 g l-1 cell dry weight, respectively. The 0:17 cells kept growing until around 20 g l-1 before any severe effect on the growth rate was seen. Eventually, the reactor oxygen transfer rate is approached which can clearly be seen in Figure 6b, as there is a sharp increase in the production of acetic acid due to mixed acid fermentation, which coincides with the DOT values dropping towards 0% air saturation. Up to this point, the repeated batch strategy offers significant advantages in ease of handling. In the large production scale, the oxygen transfer capacity will be considerably lower, leading to a lower maximum obtainable cell mass. Thus, the repeated batch is for this reason suboptimal for cultivation on this scale.
The data from flow cytometric analysis (Figure 7) showed that the distribution of surface expression obtained during the extended batch cultivation is narrower than those obtained during the fed-batch cultivations, indicating that the bacterial population is more homogeneous. The peak width is an important quality parameter and with a more homogeneous population a better control of the concentration of expressed protein can be achieved. This effect is not seen in the fed-batch experiment presented in this work, nor has the effect been observed during fed-batch experiments for extended time periods in the same 10-l reactor as was used for the batch cultivation (unpublished data). This behaviour has previously been attributed to differential substrate uptake rates of the cells in a population due to different expression levels of the sugar permeases, leading to different production rates in different cells .
A number of parameters in recombinant protein production were seen to influence the AIDA-based surface expression of the model protein with respect both to the productivity and to the display on the individual cell. This included the choice of cell, the medium, the temperature and the cultivation technique. We found that the medium and the cell design leading to a removal of proteolytic cleavage were however amongst the most important factors and a minimal medium was shown to be highly preferential. Both fed-batch and batch processing can be successfully used, specifically at high glucose uptake rates, but prolonged batch processing is probably only possible using strains with low acetic acid production. This includes the 0:17 K12 strain but some B-strains (e.g. E. coli BL21) are most likely equally good candidates.
The conditions of induction of the AIDA wild type promoter remain unclear. Attempts were made to increase the expression by subjecting the cells to conditions well known for promoting a stringent response i.e. with either carbon or amino acid starvation, but no such positive effects were observed, rather the opposite. These difficulties suggest that in further optimisation experiments it might be better to consider an inducible and tuneable promoter, since it is evident that a current lack of sufficient knowledge of the aidA promoter is a limitation when designing a stable process for surface expression.
Except for controlling the productivity, the parameters studied could also be used to influence the amount of protein on each cell in the population, where the batch concept gave the narrowest distribution. However, not all applications of surface expressing cells may require this. For instance, in a whole cell biocatalysis process it may be more important to have a high total enzymatic activity in the population than to have the same activity per cell. For these applications it might be more feasible to use a fed-batch strategy to reach higher cell masses than is possible using a batch approach due to the comparatively rapid exhaust of oxygen. For live vaccines, on the other hand, it might be more important to have a homogeneous distribution, since the dosage needs to be tightly controlled. In this case it seems inadvisable to choose the fed-batch approach It also has to be mentioned that if the population distribution we observe is indeed due to difference in glucose uptake in the cell population, the situation will probably become worse during large-scale processing, as sugar gradients due to mixing will become an additional factor .
We thank Professors Inga Benz and Alexander Schmidt for the kind supply of their surface expression vector and antiserum against AIDAc, and Professor Leif Isaksson for providing E. coli strains 0:17 and its OmpT-negative mutant. Dr John Löfblom and Filippa Fleetwood are acknowledged for their assistance with the flow cytometric analysis. The Swedish Agency for Innovation Systems (Vinnova) and the Swedish Science Council (Vetenskapsrådet) are acknowledged for their financial support.
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