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Applied and Environmental Microbiology, May 2004, p. 3041-3046, Vol. 70, No. 5
0099-2240/04/$08.00+0 DOI: 10.1128/AEM.70.5.3041-3046.2004
Copyright © 2004, American Society for Microbiology. All Rights Reserved.
Diversa Corporation, San Diego, California 92121
Received 22 August 2003/ Accepted 17 January 2004
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The inclusion of phytases in animal feed is increasingly mandated as environmental and federal laws and penalties designed to regulate the addition of phosphate in animal feed are enacted. Because traditional enzymes cannot survive feed-pelleting temperatures, phytase use incurs an additional expense due to the need to apply it in liquid form after pelleting. A more economical approach would be the addition of a thermally stable phytase to feed mixtures followed by a simultaneous pelleting of enzyme and feed.
Phytase catalyzes the partial or complete hydrolytic removal of orthophosphate from phytate. The complete hydrolysis of phytate (see structure below) results in the production of one molecule of inositol and six molecules of inorganic phosphate.
Phytases can be found throughout nature and occur in plants, some animal tissues, and microbes (10). Phytases are also found in enteric bacteria, which account for 0.1% of the total bacteria present (20) and residing in the animal gut. However, although many gut microorganisms have the ability to produce phytase, little activity is available (2) because many microbes do not secrete the enzyme and because the pH of the intestine is above the enzyme optimum.
The appA gene of Escherichia coli encodes a phytase (EC 3.1.3.26) with a rate optimum at pH 4.5 and a high specific hydrolytic activity towards phytate (1,700 U/mg) that significantly surpasses the activities of other reported phytases (6, 29). The enzyme rapidly removes four of the six orthophosphate groups of phytate (9). Because its specific activity and specificity are high and its pH profile is favorable for gastric activity, the appA gene product was chosen as a candidate for increasing thermal tolerance to promote the survival of the enzyme during pelleting.
In order to create an optimized phytase gene, we employed gene site saturation mutagenesis (GSSM) technology to identify mutations that increase enzymatic performance. The technology, which generates a library of all possible single-site mutations in an enzyme, can target individual aspects of a phenotype in association with an appropriate high-throughput screening assay. In this case, a dual goal of increased thermal tolerance and a maintenance of high turnover was established. Combining GSSM technology and an assay that challenged all of the GSSM constructs with a heat step revealed mutations that increased thermal tolerance. Combining these mutations led to a phytase, Phy9X, with an optimal phenotype for economic use as an animal feed supplement. In addition to an increase in thermal tolerance, a concomitant increase in gastric stability was observed. Here we report the mutagenesis efforts that resulted in the creation of Phy9X. The field data demonstrating the efficacy of Phy9X added prior to pelleting for both poultry and swine feeding applications will be presented separately (unpublished data).
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Evolution by use of GSSM technology.
The appA gene from E. coli strain MG1655 was cloned into the expression vector pQE60 (Invitrogen), which included a C-terminal six-histidine affinity tag. The gene product was 432 amino acids long. GSSM technology was employed as previously described (3, 8, 13, 23), using a 32-fold degenerate mutagenic oligonucleotide for each position (NNK, where N is all four nucleotides and K is G or T). Statistically, this level of degeneracy will cover all 20 amino acids. Quality control consisted of sequencing of a 96-well plate of clones (threefold oversampling) and resulted in codons being found for 18 amino acids. Quality control with other GSSM libraries for which large samples were sequenced indicated that there is a 90% confidence that 150 clones (fivefold oversampling) from a pool will contain all 20 amino acids. The mutagenized appA library was screened with >10-fold oversampling to ensure complete coverage at each position (see below for details). All positions, excluding the N terminus, were mutagenized, resulting in 431 pools of variants.
High-throughput screening.
Enzymes that are used for animal feed supplements need to withstand the pelleting process, which is typically done at temperatures of approximately 80°C for short periods of time (<5 min). The enzyme must then function under the conditions that are prevalent in the stomachs of monogastric animals (pH < 4.5, 37°C). As in all cases of directed enzyme mutagenesis, it is imperative that the conditions of the screen adequately mimic the final application process. Therefore, we designed our high-throughput screening protocols to test for a low pH activity following a heat challenge. Subsequent assays were then used to ensure that no other property of the enzyme was negatively affected. Since our primary screen was for the retention of structural integrity, the model substrate 4-methyl-umbelliferylphosphate (4-MUP) was used in the high-throughput screen. Phosphatase activity was monitored by an increase in fluorescence over time due to the release of methyl-umbelliferone. We determined by experimentation that the wild-type enzyme expressed in E. coli and grown in a 384-well plate retained between 5 and 10% activity after heating for 60 min at 62°C; thus, these conditions were used when the GSSM library was screened.
Each GSSM pool was used to transform E. coli and was grown on a Luria-Bertani (LB)-solid agar plate (with 50 µg of ampicillin/ml). The resulting colonies were resuspended in a small volume of LB medium and dyed with propidium iodide. Fluorescence-activated cell sorting was used to place individual cells from a pool into separate wells of a 384-well plate; therefore, each well contained a single clone from the mixed population. One 384-well plate was used per pool and every plate contained a column of parental controls. Growth in the presence of 1 mM isopropyl-ß-D-thiogalactopyranoside (IPTG) was allowed to proceed for 2 days at 30°C in a humidified incubator. After growth, the master plates were equally divided into two daughter plates as well as replicated by pin tooling onto LB-solid agar plates (with 50 µg of ampicillin/ml). One of the daughter plates was covered with adhesive foil, heated to 62°C for 60 min, and cooled to room temperature for 30 min. The second daughter plate acted as a control and remained at room temperature. After 30 min, 20 µl of a solution containing 500 mM sodium acetate (NaOAc), pH 4.5, and 5 mM 4-MUP was added to the wells of both daughter plates. The reaction was allowed to proceed for 30 min at 25°C and then quenched by the addition of 30 µl of 1 M Tris base (pH 10.0). The phosphatase activity was determined by the increase in the relative fluorescence (excitation wavelength, 360 nm; emission wavelength, 465 nm) (Molecular Devices Spectramax Gemini) due to the hydrolysis of 4-MUP to 4-methyl umbelliferone. Residual activity was defined by the relative fluorescence of the heated plate compared to that of the unheated control plate. Clones exceeding 20% residual activity were chosen and reassayed under the same conditions for confirmation. Those clones passing the secondary assay were regrown, and their plasmids were isolated and sequenced.
Combinatorial screening.
After the identification of all single point mutations that increased the thermal resistance of the phytase, a new screen was designed to discriminate between the most stable of the combinatorial products. The temperature screening conditions were identical to those for the high-throughput screen, with the exception that as the thermal tolerance of the enzyme combinatorial product increased, the temperature of the incubation was increased. When the top candidate from any round of addition reached or exceeded an 80% retention of activity (compared to the unheated sample), the incubation temperature was increased 4°C. Over the nine rounds of combination, the temperature was increased three times, to a maximum of 74°C.
Enzymatic activity assays.
Phytase-specific activity was measured with a colorimetric assay (4) to detect the amount of free phosphate liberated from dodecasodium phytate in 100 mM NaOAc, pH 4.5. An aliquot of enzyme (50 µl) was added to 950 µl of assay mix (5 mM phytate, 100 mM NaOAc, pH 4.5) in a microcentrifuge tube in a constant-temperature heat block. Aliquots (50 µl) were withdrawn at 2-min intervals and quenched by being added to 50 µl of a color-stop mix in a 96-well plate. The absorbance was determined at 415 nm with a Molecular Devices Spectramax Plus microplate reader.
The appA-encoded and Phy9X phytases were tested for the ability to remove orthophosphate (the number of phosphates removed per phytate was measured). Enzyme assays were performed at 37°C in a solution containing 0.16 mM phytic acid and 100 mM NaOAc, pH 4.5. Samples were withdrawn at selected time points and the reactions were stopped by the addition of an equal volume of 5% trichloroacetic acid. The amount of released inorganic phosphate was photometrically measured at 700 nm by monitoring the production of phosphomolybdate with an equal volume of developer (4 volumes of 1.5% ammonium molybdate solution in 5.5% sulfuric acid and 1 volume of 2.7% ferrous sulfate solution). The molar amount of phosphate released per mole of substrate (phytic acid) was calculated.
Enzyme purification.
The wild-type appA-encoded phytase and selected variants were purified by nickel-chelating Sepharose chromatography. Induced overnight cultures were centrifuged (8,000 x g, 15 min, 4°C) and resuspended in a solution containing 20 mM Tris (pH 7.9), 500 mM NaCl, and 5 mM imidazole. Cells were disrupted by sonication, and the insoluble cell debris was removed by centrifugation (20,000 x g, 15 min). The cell extract was then passed over a Ni-chelating Fast Flow column (Amersham-Pharmacia) equilibrated with binding buffer (20 mM Tris [pH 7.9], 5 mM imidazole, 500 mM NaCl), and the column was reequilibrated with 3 volumes of binding buffer. The bound protein was eluted with an imidazole gradient, and fractions with activity were pooled, dialyzed against 20 mM Tris, pH 7.5, and concentrated in an Amicon stirred-cell diafiltration unit.
Differential scanning calorimetry (DSC).
A Perkin-Elmer Pyris 1 calorimeter was used to determine the melting temperatures (Tm) of wild-type and mutant phytases. Protein samples were concentrated to 30 to 45 mg/ml in 50 mM 2-(N-morpholino)ethanesulfonic acid (MES) buffer, pH 7.0, sealed in stainless steel cells, equilibrated to 40°C, and then scanned from 40 to 90°C at a rate of 10°C/min. For assessments of reversibility, proteins were scanned from 90 to 40°C.
Thermal tolerance and thermal stability assays.
Thermal tolerance was determined by measuring the residual activity of an enzyme at 37°C following incubation at temperatures exceeding the Tm of the parental enzyme. The samples were incubated for 5 min at different temperatures to monitor temperature tolerance and were incubated for various amounts of time at one temperature to monitor thermal stability over time. After being incubated at an elevated temperature, the samples were cooled on ice and assayed against 5 mM phytate at 37°C in 100 mM NaOAc buffer, pH 4.5. Enzymes were incubated in the presence and absence of phytate. Thermal stabilities were determined by measuring the initial rates of the hydrolysis of phytate at elevated temperatures. Aliquots (950 µl) of assay buffer (5 mM phytate, 100 mM NaOAc, pH 4.5) were equilibrated at a temperature for 3 min, and then phytase was added and assayed for 10 min, with samples taken every 2 min.
Gastric stability assay.
The half-lives of the E. coli K-12 appA-encoded and Phy9X phytases were determined by incubating the enzymes in simulated gastric fluid (SGF) (26) containing 2 mg of NaCl/ml, 84 mM HCl, and 3.2 mg of pepsin/ml (pH 1.2) and then measuring the residual phytase activities. In vitro digestibility assays were performed by adding phytase to the SGF solution (1:4 [vol/vol]) and incubating it at 37°C. Aliquots of the digestion reaction mixture were removed at intervals and assayed for residual phytase activity. The degradation of the protein was also monitored in SGF containing no pepsin and in 100 mM acetate buffer, pH 5.5. The percent residual activity (based on initial rates) was plotted versus time. An exponential curve with the equation y = Aekt, where A is the absorbance, k is the first-order rate constant describing decay, and t is time, was fitted to the data, and the half-lives of the proteins were determined with the calculation t1/2 = ln 2/k. The half-life was defined as the time (in minutes) at which 50% of the activity was lost relative to the activity at the initiation of the digestion reaction (time zero).
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To efficiently take advantage of the potential additivity or residue synergies conferred by combining mutations, we used a sequential, recursive addition protocol to create the fittest ultimate construct. The recursive path tested all possible 2-, 3-, 4-, and so on side-chain combinations, and at each step of the mutational addition process, defined the best template for the next addition. This ensured that the mutant addition followed the shortest possible path to the ultimate daughter construct.
Among the single-site mutants, one with a Q84W substitution, the result of a three-nucleotide codon change, was significantly more thermally tolerant than the other mutants. Beginning with the Q84W mutant as a template, each of the 13 remaining single-site mutations was individually added to create a library of double mutants. Each double mutant was then assayed for thermal tolerance by the temperature challenge screening protocol. The fittest double mutant was then used as a template and the remaining 12 single mutations were added to create a pool of triple mutants. This addition screening procedure was continued until no additional tolerance was gained by combining single mutations. The maximal improvement in thermal tolerance was observed upon the addition of eight mutations into a single construct, Phy9X. Figure 1 illustrates the path taken to increase thermal tolerance during the recursive procedure and shows the fittest mutational combination at each step.
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FIG. 1. Comparison of the fitness of the most thermally tolerant phytase variant after each round of mutagenesis. Bars indicate the temperatures at which 50% residual activity remained after 60 min at the elevated temperature. The genotype of the clone is indicated below the bar.
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FIG. 2. DSC graph showing phytase Tms. Symbols: squares, K-12 appA-encoded phytase (parent), with a Tm of 63.7°C; triangles, Phy9X phytase, with a Tm of 75.7°C.
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FIG. 3. Decay of phytase activity in SGF. Symbols: squares, K-12 appA-encoded phytase, with a t1/2 of 2.7 ± 0.2 min; triangles, Phy9X, with a t1/2 of 8.4 ± 1.1 min.
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The goal of this work was to increase the performance of a highly active bacterial phytase to enable the inclusion of the enzyme in animal feed prior to pelleting and to ensure the survival of phytase activity postpelleting. The objective was achieved, as the new phytase (i) selectively increased the thermal tolerance of the parental enzyme, (ii) retained the wild-type pH and rate profiles and specific activity, (iii) maintained the orthophosphate hydrolysis stoichiometry, and (iv) increased the t1/2 for gastric stability.
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In a scheme (equation 1) describing the temperature-denatured behavior of proteins as they progress from a folded state to an unfolded state and then to an insoluble state, k1 and k1 represent the equilibrium between the folded and unfolded states and k2 represents a combination of events which prevent a protein from refolding after denaturation. Among these events are the essentially irreversible chemical modification of side chains and the aggregation and precipitation of misfolded (or denatured) forms of theprotein.
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FIG. 4. Model of Phy9X based on crystal structure of E. coli K-12 AppA. The model shows the locations and identities of the Phy9X mutations.
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The final criterion for an animal feed enzyme is resistance to gastric degradation by proteases and peptidases found in the digestive tracts of monogastric animals. These digestive enzymes require the availability of recognition sites on the surface of the substrate protein. Solvent-exposed loops and random coils represent ideal locations for the presence of proteolytic sites. The increase in gastric stability observed for Phy9X over that of the wild-type parent could be explained by a tighter packing of secondary structural elements and a less dynamic flexibility of the loops and random coils.
These data substantiate the power of directed mutagenesis and high-throughput screening for the enhancement of selected enzyme properties. GSSM technology is particularly useful, providing comprehensive codon variation to chart an optimal mutational path to selectively and rapidly target aspects of an enzyme's phenotype.
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