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Applied and Environmental Microbiology, December 2005, p. 7888-7896, Vol. 71, No. 12
0099-2240/05/$08.00+0 doi:10.1128/AEM.71.12.7888-7896.2005
Copyright © 2005, American Society for Microbiology. All Rights Reserved.
Department of Biotechnology, Yonsei University, Seoul 120-749, Korea,1 Department of Biology, University of Pennsylvania, Philadelphia, Pennsylvania 19104,2 Department of Human Genetics, Emory University, Atlanta, Georgia 30322,3 Food Ingredient Division, CJ Foods R&D, CJ Corporation, Seoul 152-050, Korea,4 Department of Microbiology, University of Massachusetts, Amherst, Massachusetts 010035
Received 28 May 2005/ Accepted 15 August 2005
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A number of directed evolution studies of enzymes applied to industrial processes have been performed (1, 6). Such attempts have aimed to improve physical characteristics, such as pH optimum, temperature optimum, and thermostability, as well as catalytic activity towards the target substrate. However, since random directed evolution methods require high-throughput screening systems, limitations to improving enzyme properties for many industries still remain (20). As an alternative, three-dimensional (3-D) structure-based rational engineering has been also extensively performed (15, 19, 34, 38). Nonetheless, although recent progress has been made using both methods in engineering enzymes that can operate at a lower pH, attempts to rationally engineer enzymes have been limited to those enzymes whose structures are known (35).
In recent years, protein engineering via semirational design has been challenged by amino acid sequence comparisons (27, 39). The latter approach is based on the hypothesis that at a given position in an amino acid sequence alignment of homologous proteins, the nonconsensus amino acids rather than the consensus amino acids are responsible for the distinct characteristics of each protein. By applying the consensus concept, several thermolabile proteins have been successfully engineered to attain thermostability (26).
To dates, several acidic proteins from Alicyclobacillus acidocaldarius, a thermoacidophilic bacterium that grows optimally at 50 to 60°C and at pH 3 to 4 (7, 42), has been investigated for pH-related properties (9, 10, 33, 34, 41). For example, although AIs from Bacillus species such as B. subtilis and B. halodurans and from Geobacillus stearothermophilus are highly conserved in terms of amino acid sequences (>60%), they showed different pH optima (23). Thus, AI from A. acidocaldarius could serve as a good model to investigate amino acid residues essential for pH optimum in order to engineer AIs compatible with acidic conditions. Toward this end, we have cloned, sequenced, and expressed the araA gene from the thermoacidophilic bacterium A. acidocaldarius. Together with previously well-characterized AIs from the alkalophilic B. halodurans and the neutrophilic G. stearothermophilus, comparative biochemical studies were performed. Based on sequence alignment, site-directed mutagenesis was carried out to generate mutants possessing a modified pH optimum. From this simple rational approach based on the consensus concept, AI with an improved acidic pH performance more favorable for the production of D-tagatose could be developed. Moreover, our findings provide insight into the molecular evolution of AIs for environmental adaptation.
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Bacterial strains and culture conditions.
A. acidocaldarius (ATCC 43030) was obtained from the American Type Culture Collection (ATCC), Manassas, Va. A. acidocaldarius was grown in an ATCC medium (573 Bacillus medium, pH 4.0) containing 1 g of L-arabinose, 1 g of yeast extract, 1.3 g of (NH4)2SO4, 0.37 g of KH2PO4, 0.25 g of MgSO4 · 7H2O, 0.07 g of CaCl2 · 2H2O, and 0.02 g of FeCl3 per liter at 55°C. Escherichia coli DH5
was used as a host for the construction of expression vectors, and E. coli BL21(DE3) was used as the host for expression. Both strains were grown in Luria-Bertani (LB) medium with ampicillin (100 µg/ml) in a rotary shaker at 37°C. The plasmid pGEM-T Easy vector was used as a cloning and sequencing vector, and pET-22b(+) was used for expression.
Cloning and sequencing of the araA gene from A. acidocaldarius.
In order to obtain an internal sequence of the AI-encoding araA gene from A. acidocaldarius, several putative araA genes obtained from the microbial genome sequence in GenBank were aligned. Two conserved sequences were identified and used to design the degenerate primers DaraAF (5'-TGGMTGCAYACNTTYTCDCCDKCNAARATGTGGAT-3') and DaraAR (5'-TANGTGTARTCYTCCATRAANGANGT-3') (Fig. 1). Genomic DNA was isolated from A. acidocaldarius using a genomic DNA extraction kit (QIAGEN) according to the manufacturer's instructions. The internal gene (770 bp) encoding AI from A. acidocaldarius was amplified by PCR using genomic DNA as a template. PCR mixtures (50 µl) contained 20 ng of genomic DNA, 0.2 µM each primer, 0.2 mM dNTP mix, and 2.5 U of Ex-Taq DNA polymerase in 1x PCR buffer (2 mM MgCl2). After an initial denaturation step for 4 min at 94°C, the DNA was amplified by 30 cycles, each consisting of 30 s of denaturation at 94°C, 30 s of annealing at 60°C, and 1 min of extension at 72°C, followed by a final 5-min extension step at 72°C. The 770-bp PCR product was cloned into the pGEM-T Easy vector and transformed into E. coli DH5
competent cells. Transformants containing the pGEM-T Easy vector harboring the partial gene encoding A. acidocaldarius AI (AAAI) were selected on LB medium-ampicillin plates containing 0.01% 5-bromo-4-chloro-3-indolyl-ß-D-galactopyranoside (X-Gal). Plasmid DNA was isolated from the transformants and sequenced.
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FIG. 1. Alignment of AAAI, GSAI, and BHAI amino acid sequences. The alignment was generated using CLUSTAL X (37). The residues of AIs involved in -helices or ß-strands are indicated by H and E, respectively. Secondary structure prediction was performed by using the Jpred (5) and the PSIPRED (13) programs. The amino acid residues for mutagenesis are indicated by a box, and the amino acid sequences used to prepare degenerate primers for cloning are shown in boldface type. AAAI, A. acidocaldarius AI (GenBank accession number DQ013256); GSAI, G. stearothermophilus AI (accession number AAD45718); BHAI, B. halodurans AI (accession number BAB05592).
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. Transformants were selected on LB-ampicillin plates containing 0.01% X-Gal. Plasmid DNA was isolated from clones with inserts and digested with BamHI and HindIII. The araA gene of A. acidocaldarius was ligated into the pET-22b(+) vector to yield pET-AAAI, and the products were transformed into E. coli BL21. The pET-BHAI vector harboring the araA gene of B. halodurans was prepared as described previously (23).
Expression and purification of AIs.
For expression of the recombinant wild-type and mutant enzymes, the transformed E. coli BL21 cells were grown in 1 liter of LB medium at 37°C containing 100 µg of ampicillin per ml, induced in mid-exponential phase (A600 = 0.5
0.6) with 1 mM of isopropyl-ß-D-thiogalactopyranoside (IPTG), grown for an additional 4 h, and harvested by centrifugation (10,000 x g, 20 min, 4°C).
To purify recombinant wild-type AAAI and mutant AAAI-K269E, the centrifuged cell pellets were resuspended in 20 mM Tris-HCl buffer (pH 8.0) and disrupted by sonication. The lysates were spun (12,000 x g, 20 min) to remove cell debris, and the supernatants were heated at 70°C for 15 min. After centrifugation (12,000 x g, 20 min), the supernatants of AAAI and AAAI-K269E were filtered through a 0.2-µm filter and loaded onto a Q-Sepharose column (High-prep 16/10 Q-XL, 20 ml; Pharmacia) equilibrated with 20 mM Tris-HCl buffer (pH 8.0). Elution was performed with a linear gradient of NaCl (0 to 500 mM) at a flow rate of 3 ml/min. Protein fractions containing AI activity were pooled and passed through a Superdex 200 column (HiLoad 16/60 prep grade; Pharmacia) preequilibrated with 20 mM Tris-HCl buffer (pH 7.5) and 150 mM NaCl. The purified enzymes were dialyzed against 10 mM potassium phosphate (AAAI, pH 6.5; AAAI-K269E, pH 7.5) and stored at 4°C. Wild-type B. halodurans AI (BHAI) and mutant BHAI-E268K were purified as described previously (23). The purified BHAI-E268K was dialyzed against 10 mM potassium phosphate (pH 7.5). All purification steps were carried out using an
kta purifier system (Pharmacia) at 4°C. Protein concentrations were determined by the bicinchoninic acid method with bovine serum albumin as a standard (36).
Purity and size of proteins were analyzed by 12% sodium dodecyl sulfate-polyacrylamide gel electrophoresis (PAGE) and visualized with Coomassie blue (22), and native PAGE and isoelectric focusing were performed as described previously (23, 25). N-terminal sequencing of the purified protein was performed at the Analytical Core Facility, Tufts University (Boston, Mass.).
Enzyme activity assay.
An AI assay was performed as described previously (8). Unless otherwise noted, standard reaction mixtures contained 50 mM phosphate buffer (pH 6.0 for AAAI and pH 7.0 for AAAI-K269E) or 50 mM HEPES buffer (pH 8.0 for BHAI and pH 7.0 for BHAI-E268K at room temperature), 1 mM MnCl2, 1 mM CoCl2, 20 µl of enzyme preparation at a suitable dilution, 0.1 M L-arabinose (D-galactose), and distilled water to a final volume of 125 µl. Assay mixtures for AAAI/AAAI-K269E and BHAI/BHAI-E268K were incubated for 20 min at 65 and 50°C, respectively, and stopped by cooling on ice. The ribulose (tagatose) formed was quantified by the cysteine-sulfuric acid-carbazole method, and the A560 was measured. One unit of isomerase activity is defined as the amount of enzyme that produces 1 µmol of product per min under these conditions.
Site-directed mutagenesis.
AAAI and BHAI mutants were created by site-directed mutagenesis using pET-AAAI and pET-BHAI as the DNA template. Site-directed mutants were generated by PCR with the QuickChange kit (Stratagene, La Jolla, Calif.) and primers specific for each mutation. The forward/reverse primer pair of AAAI-K269E (5'-AAAGCCTTCCTGGAGGACGGGAATTTT-3' and 5'-AAAATTCCCGTCCTCCAGGAAGGCTTT-3') and another forward/reverse primer pair of BHAI-E268K (5'-AAGGAGTTCTTGAAAGAAGGGGGCTAC-3' and 5'-GTAGCCCCCTTCTTTCAAGAACTCCTT-3') were designed to introduce the K269E and E268K mutations into the AI genes of A. acidocaldarius and B. halodurans, respectively (underlined nucleotides represent those nucleotides changed by point mutations). The mutagenesis was carried out using 10 ng template DNA and a PCR program of 5 min at 95°C followed by 16 cycles of 30 s at 95°C, 1 min at 55°C, and 8 min at 68°C. The amplified plasmids were digested with DpnI and transformed into E. coli DH5
cells. Clones were sequenced to verify the presence of the mutation. Upon identification of a single coding region mutation, the mutated plasmids were reintroduced into E. coli BL21(DE3) cells and expressed as described above.
pH and temperature studies.
To determine the pH optimum, AI activity was measured with L-arabinose as a substrate as described above, except that the reaction buffer was replaced by 50 mM sodium acetate buffer (pH 3.5 to 6.0), 50 mM potassium phosphate buffer (pH 6.0 to 7.5), and 50 mM Tris-HCl buffer (pH 7.0 to 9.0). For pH stability studies, the enzyme was incubated at various pHs for different periods of time. All pHs were adjusted at room temperature, and the
pKa/
Ts (
TS being the change in temperature) for each buffer was taken into account in analyzing the results. The residual AI activity was measured under the above-described assay conditions at 65°C.
Kinetics.
The kinetic parameters of wild-type and mutant AIs were determined in the same reaction mixtures as described above for pH study, except that AI was assayed with a 3-min incubation to obtain the initial reaction rate. The concentration of L-arabinose or D-galactose ranged from 5 to 300 mM. Kinetic data were analyzed using Lineweaver-Burk plots to determine Vmax and Km.
Circular dichroism.
Circular dichroism (CD) measurements were performed with a Jasco J-810 spectropolarimeter with a Peltier temperature-controlled cuvette holder. Wild-type and mutant enzymes (0.5 mg/ml) were preincubated at 25°C in 20 mM sodium acetate buffer (pH 4 to 6), 20 mM potassium phosphate buffer (pH 6 and 7), and 20 mM Tris-HCl buffer (pH 8 and 9). The CD spectra of enzyme samples in a cuvette with a 0.1-cm path length were recorded in the far-UV region (190 to 250 nm). Scans were collected at 0.1-nm intervals with a 1-nm bandwidth five times. Each spectrum was corrected by subtracting the spectrum of the solution containing the used buffer.
High-performance ionic chromatography.
High-performance ionic chromatography (HPIC; Dionex) was performed using a Carbopac PA1 column (0.4 by 25 cm; Dionex) equipped with an electrochemical detector (ED40; Dionex) as described previously (23). D-Galactose and D-tagatose (Sigma) were separated by isocratic elution in 20 mM NaOH solution at a flow rate of 0.3 ml/min.
Nucleotide sequence accession number.
The GenBank/EMBL accession number for the A. acidocaldarius araA gene is DQ013256.
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Overexpression, purification, and characterization of AAAI.
The recombinant AAAI was purified to homogeneity by heat treatment followed by ion-exchange chromatography and gel filtration as described in Materials and Methods. The 14 N-terminal amino acid residues of the purified enzyme were determined to be MDIGINSDPLSLRP, which was identical to the deduced amino acid sequence of the araA gene from A.acidocaldarius. The molecular mass of the purified AAAI wasestimated to be 57 kDa by sodium dodecyl sulfate-PAGE, consistent with the molecular mass (56,043 Da) calculated from the presumptive amino acid sequence. However, native PAGE and gel filtration chromatography on Superdex 200 suggested that the native form of AAAI is a homotetramer with a molecular mass of about 224 kDa. Its isoelectric point (pI) was determined to be 5.0 (calculated pI of 5.51) on the isoelectric focusing gel (Table 1).
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TABLE 1. Comparison of biochemical properties of AAAI and other AIs from the genus of Bacillus
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FIG. 2. pH optimum (A) and stability (B) of recombinant AAAI. (A) The enzyme was incubated under the standard assay conditions except for the reaction buffer: , 0.1 M sodium acetate (pH 3.5 to 6.0); , 0.1 M potassium phosphate (ph 6.0 to 7.5); , 0.1 M Tris-HCl (ph 7.0 to 9.0). (B) After various periods of incubation of the enzyme in different pH buffers ( , pH 4.0; , pH 5.0; , pH 6.0; , pH 7.0; , pH 8.0) at room temperature, the residual activity of each aliquot was determined as described in Materials and Methods.
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Kinetic studies of wild-type and mutant AIs.
Based on the primary sequence alignment of the AIs from three aerobic bacteria, A. acidocaldarius (acidophile), G. stearothermophilus (neutrophile), and B. halodurans (alkalophile), it was found that AAAI only differs from GSAI by 11 amino acid residues. Since, at pH 6.0, the AAAI has a pH optimum more acidic than those of GSAI (pH 7.0 to 7.5) and BHAI (pH 7.5 to 8.0), we proposed that the Lys-269 residue of AAAI could be responsible for the acidic pH optimum. Thus, we obtained AAAI-K269E and BHAI-E268K mutants using site-directed mutagenesis to investigate the role of Lys residue, where Glu-268 of BHAI is the corresponding residue to Lys-269 of AAAI, in the pH optimum of AI. In addition, the kinetic parameters and pH profiles of the mutants at different pHs were compared with those of the wild-type enzymes.
The Km values of AAAI for L-arabinose and D-galactose as substrates at 65°C and at pH 6 were 48 mM (Vmax, 35.5 U/mg) and 129.0 mM (Vmax, 7.5 U/mg), respectively. These values are almost the same as those of GSAI at pH 7.0, indicating that AAAI has a quite similar substrate affinity to GSAI except for the pH optimum (23). Interestingly, the apparent Km values of AAAI and AAAI-K269E for L-arabinose as a substrate were not significantly affected by the reaction pHs (Table 2). In addition, the Km values of AAAI-K269E and BHAI-E268K were not largely different from those of their respective wild-type enzymes, whereas the Vmax values changed with pH as shown in Fig. 3. In the case of the wild-type AIs, AAAI and BHAI exhibited Vmax values at pH 6 and >8, respectively. However, the optimal pHs for their respective mutants, AAAI-K269E and BHAI-E268K, were shifted to neutral pHs around pH 7.0. In addition, the Vmax value of AAAI-K269E was lower than that of AAAI by 1.7-fold at pH 6.0, whereas it was elevated 1.3-fold at pH 7.0. Although the Vmax value of BHAI-E268K was little different than that of BHAI (1.03-fold at pH 8.0), the mutant had a 1.4-fold higher Vmax value than the wild-type at pH 7.0. From these results, the difference in the kcat/Km value at each pH seemed to be dependent on the Vmax value. Moreover, it appears that the Lys-269 residue of AAAI, corresponding to Glu-268 of BHAI, might play a key role in the determination of pH optimum for each AI.
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TABLE 2. pH dependence of the kinetic parameters of wild-type AIs and their mutants
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FIG. 3. Effect of pH on the AI activities of the wild-type (wild) (closed symbols) and mutant (open symbols) enzymes. The Vmax values were obtained from the kinetic studies (see Materials and Methods).
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FIG. 4. HPIC (Dionex) analysis of reaction mixtures after incubation of AAAI (A and B) and its mutant, AAAI-K269E (C and D), with 10mM D-galactose as a substrate. The reaction mixtures (1 ml) contained 40 mM potassium phosphate buffer (pH 6 and 7), 10 mM D-galactose, 1mM Mn2+, 1 mM Co2+, and 0.5 mg of AI. After 12 h of incubation at 60°C, the reaction mixtures were filtered and analyzed.
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To assess the effect of pH on conversion yields and formation of by-products, we performed isomerization of D-galactose to D-tagatose using wild-type and mutant AIs at 60°C and at different pHs (pH 6 and 7) and compared the conversion yields obtained by HPIC analysis (Fig. 4). From these results, it is evident that acidic conditions would be more favorable and advantageous for the production of D-tagatose. Therefore, since AAAI catalyzes the conversion of D-galactose to D-tagatose with an acidic pH optimum of 6.0 at 60°C, it could be a potentially attractive source for industrial application.
Compared with other thermophilic AIs, AAAI showed very similar biochemical properties except for pH optimum. Interestingly, the amino acid sequences of AI homologues including AAAI are highly conserved over the entire length of the protein, as shown in Fig. 1. Moreover, it is known that the 3-D structures of very distant members of a protein family (i.e., with very different sequences) may be practically superimposable, demonstrating that they can adopt essentially the same 3-D structure and perform the same biological function (2, 3). The identities (similarities) of the amino acid sequences of many variants can therefore be exploited to identify those regions that are absolutely critical for the structure and function of the given group of orthologous proteins (27). As such, it can be inferred that differences between the amino acid sequences of members of a given family could account for the unique properties of family members. Therefore, if the specific region responsible for a desired property was identified, the enzyme could be modified to render it suitable for industrial purposes. In early studies with fungal phytases, this sequence alignment-based approach, known as a simple semirational approach, was used to improve enzyme thermostability (26).
The different pH optima (AAAI, pH 6.0 to 6.5; GSAI, pH 7.0 to 7.5; BHAI, pH 7.5 to 8.0) of two thermophilic AIs and one alkalophilic AI could thus be explained by differences in primary amino acid sequences. As shown in Fig. 3, Lys-269 of AAAI, corresponding to Gln-269 of GSAI and Glu-268 of BHAI, seems to be responsible for the acidic optimum pH ofAAAI. To verify the hypothesis, the K269E mutant from AAAI (pHopt of 6.0) and the E268K mutant from BHAI (pHopt of 8.0) were prepared by site-directed mutagenesis. Comparative analysis of the pH activity profiles of the wild-type and mutant forms revealed the importance of Lys-269 in the pH tolerance of AAAI (Fig. 3). The replacement of Lys-269 with a Glu residue in AAAI to mimic Glu-268 of BHAI resulted in a significant decrease in catalytic activity at a low pH, with the AAAI-K269E mutant showing a neutral pH optimum, reflecting an approximately 1 unit change from pH 6.0 to 7.0. In contrast, the BHAI-E268K mutant showed a neutral pH optimum (pH 7.0) relative to the original pH optimum of the wild-type BHAI (pH 8.0). To exclude the possibility that conformational changes between the mutant and the wild-type proteins could affect the pH profiles, CD spectrum analysis in the far-UV region around 200 to 250 nm was performed for both versions of the enzymes (Fig. 5). Although the CD spectra in the far-UV region of 200 to 230 nm vanished at less than pH 5.0, those of AAAI and the K269E mutant did not undergo any significant change from pH 6.0 to 8.0, indicating that no significant conformational change exists between them in the pH range showing optimal catalytic activity (Fig. 5A and B). Therefore, we conclude that the decreased activity of the K269E mutant at a low pH is not due to significant structural changes in the protein.
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FIG. 5. CD spectra of the wild-type and mutant enzymes of AAAI and BHAI at different pHs. (A) AAAI; (B) AAAI-K269E; (C) BHAI; (D) BHAI-E268K. See Materials and Methods for conditions of data collection.
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Together with a notable role of Lys-269 of AAAI in the alteration of the pH activity profile, we have investigated the relationships between physical properties and amino acid sequences of AIs by alignment of their amino acid sequences. As shown in Fig. 6, a phylogenetic tree was constructed using all 17 available AI-homologous sequences by the neighbor-joining and p-distance methods. Similar topologies resulted from different tree-building methods (neighbor-joining versus minimum evolution) and distance estimations (p distance versus Poisson correction), showing the tree's robustness. The tree contains two major branches, one including AIs from thermophilic/mesophilic strains such as G. kaustophilus, G. stearothermophilus, A. acidocaldarius, B. subtilis, and B. licheniformis and the other including AIs from other sources, including hyperthermophiles. Bootstrap values indicate that the sequences in the thermophilic/mesophilic Bacillus-containing branch are well conserved (99%). Nevertheless, despite the low degree of sequence variability between these AI homologues, they show distinct physiological properties such as pH and temperature. Thus, small changes in amino acid sequences could change the characteristic of an enzyme in terms of its environmental adaptation. In particular, it appears that the character of the side chain found at the equivalent position of AAAI Lys-269 in the various Bacillus proteins dictates the pH optimum of the enzyme. Therefore, mutation at this position could be a simple strategy for changing enzymatic properties.
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FIG. 6. Phylogenetic tree of AI homologues. Bootstrap values are indicated at the branch points. The bar indicates a branch length equivalent of 0.1 changes per amino acid. All sequences were obtained from the TIGR website except for the G. stearothermophilus and T. neapolitana sequences, which were obtained from GenBank. Abbreviations: AAAI, Alicyclobacillus acidocaldarius; BH1873, Bacillus halodurans; BL0272, Bifidobacterium longum; BL00352, Bacillus licheniformis; Bsu2876, Bacillus subtilis; CAC1346, Clostridium acetobutylicum; b0062, Escherichia coli; GK1904, Geobacillus kaustophilus; AAD45718, Geobacillus stearothermophilus; lp3554, Lactobacillus plantarum; OB2797, Oceanobacillus iheyensis; MSMEG, Mycobacterium smegmatis; SMb21420, Sinorhizobium meliloti; STM0102, Salmonella enterica serovar Typhimurium; TM0276, Thermotoga maritima; AAK18729, Thermotoga neapolitana; YPO2253, Yersinia pestis. Amino acid sequences were aligned with Vector NTI AlignX software (Suite 9.0.0; Invitrogen, Carlsbad, Calif.). Phylogenetic trees were constructed with the neighbor-joining method (32) and the minimum evolution method (31), both from MEGA software version 3.0 (21). The p-distance and Poisson correction substitution models were used in both tree-building methods. Bootstrap values were calculated based on 1,000 replicates of the data (11).
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We gratefully acknowledge Jerry Eichler for helpful discussions and editing of the manuscript.
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-amylase for low pH performance. Curr. Opin. Biotechnol. 10:349-352.[CrossRef][Medline]
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