Metabolic engineering aims at channeling the metabolic fluxes towards a desired compound. An important strategy to achieve this is the modification of the expression level of specific genes. Several methods for the modification or the replacement of promoters have been proposed, but most of them involve time-consuming screening steps. We describe here a novel optimized method for the insertion of constitutive promoters (referred to as "promoter knock-in") whose strength can be compared with the native promoter by applying a promoter strength predictive (PSP) model.
Our method was successfully applied to fine tune the
We are proposing a novel methodology for obtaining appropriate levels of expression of genes of interest, based on the prediction of the relative strength of selected synthetic promoters combined with an optimized promoter knock-in strategy. The obtained expression levels are independent of the genetic background and scale conditions. The method constitutes therefore a valuable addition to the genetic toolbox for the metabolic engineering of
The ability to alter metabolic fluxes by modifying the expression of the cognate genes is an important tool for metabolic engineering. Metabolic engineering by gene manipulation traditionally aimed at abolishing undesired metabolic activities, introducing new enzymatic activities, and/or generating many-fold overexpression of what was believed to be a rate determining step in a pathway. In some cases, these methods have been successful in redirecting the flux to a certain product but more often, the outcome has been disappointing because of the limited impact of the manipulations on the targeted result. This clearly illustrates the importance of obtaining a quantitative understanding of the factors that determine the flux through a pathway, e.g. by applying metabolic control analysis to define the best strategy for flux optimization. A comparatively straightforward approach to modify the flux through a pathway consists in the modulation of cellular enzymatic activities by changing the expression level of the corresponding genes. Several promoter libraries have been constructed for this purpose [
Bacterial genes are differentially expressed during the cell cycle in response to a wide variety of signals that modulate promoter activity and in some cases it may be interesting, however, to express specific genes constitutively and at a specific level. To ensure the constant (over)expression of a certain gene, the endogenous promoter can be replaced by a constitutive promoter with a desired strength. In this context, a synthetic promoter library is useful for the fine tuning of genes. To date, there are comparatively few data about the insertion procedure of artificial promoters directly in the chromosome [
First, we compare several knock-in strategies of upstream untranslated regions containing a synthetic promoter with or without a synthetic canonic ribosome binding site (RBS) and with or without an N-terminal polyhistidine sequence (His-tag). Second, we apply the optimized procedure to knock-in synthetic promoters with different strength, selected using a previously developed promoter strength predictive (PSP) model. At the same time, this work constitutes a validation of the PSP model [
The PSP model was developed to quantitatively predict the strength of promoters on the basis of the nucleotide sequence [
The
In a first attempt, a cassette containing the antibiotic resistance marker, the synthetic p37 promoter, a canonical RBS, a start codon and a polyhistidine sequence (tag) substituted the start codon of the
Expression of the
| Strategy I | Strategy II | Strategy III | ||||
|---|---|---|---|---|---|---|
| mRNA |
PEP carboxylase activity | mRNA |
PEP carboxylase activity | mRNA |
PEP carboxylase activity | |
|
|
1.0 |
1.00 ± 0.002 | 1.0 |
1.00 ± 0.002 | 1.0 |
1.00 ± 0.002 |
|
|
0.4 |
0.50 ± 0.003 | 0.2 |
0.13 ± 0.001 | 3.9 |
3.32 ± 0.015 |
Two synthetic promoters (p37 and p55) were chosen on the basis of their relative strength to replace the natural
Expression of
| Strain | Flask-scale | Bioreactor-scale | ||
|---|---|---|---|---|
| Expression of |
Expression of |
|||
| mRNA (2-ΔΔct) | PEP carboxylase activity | mRNA (2-ΔΔct) | PEP carboxylase activity | |
|
|
1.0 |
1.00 ± 0.002 | 1.0 |
1.00 ± 0.002 |
|
|
0.7 |
0.82 ± 0.003 | 0.8 |
0.92 ± 0.005 |
|
|
3.9 |
3.33 ± 0.015 | 6.7 |
5.24 ± 0.013 |
|
|
2.5 |
1.79 ± 0.002 | 5.0 |
3.22 ± 0.014 |
|
|
3.7 |
3.56 ± 0.002 | 5.7 |
4.71 ± 0.019 |
|
|
2.3 |
2.02 ± 0.016 | 4.2 |
2.55 ± 0.007 |
Next, the influence of the genetic background on the expression of
Next, the influence of growth parameters (oxygen supply, pH and culture volume (scaling up)) on the strength of the knocked-in synthetic promoters in both the wt and the 3KO strains was investigated using a bioreactor. Again, a similar relative expression of the
Several methods have been developed to engineer the cellular metabolism by modifying the expression level of genes coding for enzymatic steps that are considered either rate-limiting or diverting the metabolic flow towards by-products. One such approach is to modify the promoter of genes using a promoter library. The existing methods [
So far, little information is available about an efficient method for the insertion of artificial promoters at the chromosomal level. The multiple mutants obtained using existing libraries require extensive screening steps. Alper and co-workers (2005) [
(i) Optimization of the knock-in procedure. In order to maintain the expression of the chosen promoter it is imperative to conserve the leader region (from transcriptional to translational starting point) of the gene of interest and to eliminate upstream regulatory elements (transcription factor binding sites) (Strategy III). Simply inserting a synthetic promoter between the coding region and the natural promoter region (strategy I in figure
(ii) The expression levels obtained with the two synthetic promoters from our library (p37 and p55) confirm the use of the PSP model to choose promoters in function of the desired level of expression. Indeed, the expression levels relative to wild-type were in quite good agreement with the predicted relative strengths.
(iii) The engineered
In conclusion, a rational approach for the modulation of gene expression, using a library of promoters in combination with a mathematical model, is proposed. The developed promoter knock-in method ensures the stable expression of the targeted gene. In addition, the knock-in procedure is almost "seamless", leaving only an 84 nt insert with no selection markers such as antibiotic resistance genes in the genome. Therefore, the method does not impose limitations on the further introduction of other synthetic promoters for the fine tuning of several other genes expression in the same
We also applied this method to create a selection host for the detection of L-ribose isomerase expressing mutants of
State of the art methods for the utilization of existing promoter libraries prove to be suboptimal for the fine tuning of gene expression and therefore there is a need for a rational promoter knock-in method. In this study, we demonstrated the usefulness of an existing promoter strength predictive model (PSP) to compare in advance the relative strength of the promoters in the library with the native promoter so that the latter can be replaced with an appropriate one of the former. Further, we developed an optimal strategy to knock-in promoters. Existing methods are time consuming and expensive since they involve post-insertion screening steps. We present a novel method in which the strength of the inserted promoter relative to the natural one is known beforehand and in which the obtained expression is independent of genetic background. The method is therefore a valuable addition to the
The wild-type (wt) strain
The culture medium Luria Broth (LB) consisted of 1% tryptone-peptone (Difco, Erembodegem, Belgium), 0.5% yeast extract (Difco) and 0.5% sodium chloride (VWR, Leuven, Belgium). The pH of the medium was 6.7.
For flask cultures, minimal medium (MM-flask) consisted of 18 μM FeCl2.4H2O (Merck, Leuven, Belgium), 34 μM CaCl2.2H2O (Merck), 8.3 μM MnCl2.2H2O (Merck), 2.2 μM CuCl2.2H2O (Sigma, Bornem, Belgium), 2,1 μM CoCl2.6H2O (Merck), 6.9 μM ZnCl2 (Merck), 0.4 μM H3BO4 (Merck), 40.3 μM Na2EDTA.2H2O (Fluka, Bornem, Belgium), 3 μM thiamine HCl (Sigma), 0.4 μM Na2MoO4.2H2O (Fluka), 37.4 mM NH4Cl (Merck), 37.8 mM (NH4)2SO4 (Merck), 22 mM KH2PO4 (Acros, Geel, Belgium), 42 mM K2HPO4 (Acros), 40 mM MOPS (Sigma), 2 mM MgSO4.7H2O (Fluka), 8.6 mM NaCl (VWR) and 83.3 mM glucose.H2O (Stop, Dendermonde, Belgium). The pH was set at 7.0 with a 1 M K2HPO4 (Acros) solution.
For batch cultures, the minimal medium (MM-batch) composition was identical to MM-flask, except for the concentration of KH2PO4 14.7 mM, and the absence of MOPS. The pH was not set to 7.0, but left at approx 5.4.
A preculture from a single colony was grown in 5 ml MM-flask medium overnight and 2 ml was transferred to 100 ml MM-flask medium in a 0.5 l flask. Incubation was performed at 37°C in a rotary shaker (160 rpm) for 16 hours. The inoculum was set at OD600 = 0.5, and 75 ml was used to inoculate 1.5 l MM-batch in a Biostat M fermentor (Sartorius Stedim Biotech S.A., Melsungen, Germany). In batch cultures, the pH (7.0) was kept constant using 4 N KOH and 1 N H2SO4, the temperature, agitation and air supply were set at 37°C, 1000 rpm, and 1.5 l/min, respectively. The pH, pO2, temperature, agitation, used acid and used base were followed online using the MFCS/WIN software of Sartorius Stedim Biotech S.A. Samples were taken using a rapid sampling loop. Each hour, a sample for OD600 and extracellular measurements was taken using the stainless bead sampling method as described by Mashego
Two selected promoters (p37, and p55) (table
Sequences of used promoters and primers
| Primer | Sequence |
|---|---|
|
|
gggggaattccttacatgaaaaaggttcttg |
|
|
ttttggatcccatctttgtttcctccgagaaaaatgacatataccacatgg |
|
|
gggggaattccttagaaggaatttgttcttg |
|
|
ttttggatcccatctttgtttcctccgagatacctaaaaattatacc |
|
|
ttttgaattcgtgtaggctggagctgcttc |
|
|
ggggaagcttcatatgaatatcctccttag |
|
|
acattactacgcaatgcggaatattgttcgttgtggtgatggtgatggtgcgccatctttgtttcctccgagaaaaatgac |
|
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acattactacgcaatgcggaatattgttcgttgtggtgatggtgatggtgcgccatctttgtttcctccgagatacctaa |
|
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cgtgaaggatacagggctatcaaacgataagatggggtgtctggggtaatcatatgaatatcctccttag |
|
|
atcaagcccacccgcgaactgataacccaggtaattcaccatttttgctggcattaacatatgaatatcctccttag |
|
|
tccttcacgtcgcattggcgcgaatatgctcgggctttgcttttcgtcgtcaaaaatgacatataccacatgga |
|
|
tttgccgagcatactgacattactacgcaatgcggaatattgttcgttcatctttgtttcctccgagatacctaaaaattataccacatcaac |
The promoter knock-in system is based on the λ Red-mediated one step recombination procedure for creating a knock-out mutant as described by Datsenko and Wanner [
The design of the primers (table
The wild-type and the mutants were grown in flasks in 20 ml MM-flask medium in triplicate. One ml samples were collected at OD600 = 1.0 for mRNA and protein collection. Total RNA extraction was done using the RNeasy mini kit of Qiagen® (KJ Venlo, The Netherlands). The purity of RNA was verified on a FA-agarose gel as recommended by Qiagen® and the RNA concentration was determined by measuring the absorbance at 260 nm. 2 μg RNA was used to synthesize cDNA using a random primer and RevertAid H Minus M-MulV reverse trancriptase (Fermentas).
The strength of the promoter was determined by RT-qPCR carried out in an iCycler IQ® (Bio-Rad, Eke, Belgium) using the primers Fw-ppc-qPCR and Rv-ppc-qPCR. SYBR GreenER qPCR supermix (Invitrogen®) was used to perform a brief UDG (uracil DNA glycolsylase) incubation (50°C for 2 min) immediately followed by PCR amplification (95°C for 8.5 min; 40 cycles of 95°C for 15 s and 60°C for 1 min) and melting curve analysis (95°C for 1 min, 55°C for 1 min and 80 cycles of 55°C+0.5°C/cycles for 10 s) to identify the presence of primer dimers and analyze the specificity of the reaction. This UDG incubation step before PCR cycling destroys any contaminating dU-containing products from previous reactions. UDG is then inactivated by the high temperatures during normal PCR cycling, thereby allowing the amplification of genuine target sequences. Each sample was performed in triplicate. The relative expression ratios were calculated using the "Delta-delta ct method" of PE Applied Biosystems (Perkin Elmer, Forster City, CA). The gene
Cell lysis was performed with the EasyLyse™-kit (Epicentre® Biotechnologies, BIOzymTC, Landgraaf, Netherlands), following the procedure recommended by the supplier. PEP carboxylase activity was assayed as described by De Maeseneire
3KO:
JM applied the PSP model to calculate the promoter strengths. MDM, MRFM and SB carried out the molecular genetic studies. MDM and MRFM drafted the manuscript. EJV, RC and WKS revised the manuscript critically. All authors read and approved the final manuscript.
The authors wish to thank the Institute for the Promotion of Innovation through Science and Technology in Flanders (IWT-Vlaanderen) for financial support through a Ph.D grant (B/04316/01) to MDM and through a grant for SBO-project 040125. JM was research assistant of the Fund for Scientific Research-Flanders (FWO-Vlaanderen). The authors also wish to thank the Bijzonder Onderzoeks Fonds (BOF) for financial support through a post-doctoral research grant to MDM.