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Applied and Environmental Microbiology, April 2009, p. 2184-2191, Vol. 75, No. 7
0099-2240/09/$08.00+0 doi:10.1128/AEM.02634-08
Copyright © 2009, American Society for Microbiology. All Rights Reserved.

CSIRO Entomology, G.P.O. Box 1700, Canberra, Australian Capital Territory 2601, Australia,1 Australian CRC for Sugar Industry Innovation through Biotechnology, St. Lucia, Queensland, Australia2
Received 17 November 2008/ Accepted 31 January 2009
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Several gene/enzyme systems that allow catabolism of the triazine herbicides as sources of carbon and nitrogen have evolved in prokaryotes. AtzA is the first enzyme of the most thoroughly characterized pathway, the atzABCDEF triazine-catabolic pathway, which was isolated in the early 1990s from Pseudomonas sp. strain ADP (12, 32) and is thought to have evolved recently in direct response to the use of chlorinated s-triazine herbicides (44, 55, 56). The entire catabolic pathway is encoded by the transmissible pADP1 plasmid (33). Atrazine and simazine (6-chloro-N2,N4-diethyl-1,3,5-triazine-2,4-diamine) (11) are successively dechlorinated and dealkylated by enzymes of the amidohydrolase family encoded by atzA, atzB, and atzC, yielding cyanuric acid (7, 11, 39). The latter is then converted to ammonia and carbon dioxide by the remaining hydrolases in the pathway, encoded by atzD, atzE, and atzF (10, 14, 45).
AtzA is an Fe(II)-dependent homohexamer of the amidohydrolase superfamily (20) and has been shown to catalyze the hydrolytic dechlorination of atrazine, yielding the nonherbicidal product 2-hydroxyatrazine (11). The closest known relative of AtzA is melamine deaminase (TriA from Pseudomonas sp. strain NRRL B-12227; 98% sequence identity) (41, 42). Despite their high sequence similarity, AtzA and TriA are catalytically distinct; TriA is a deaminase with low dechlorinase activity, while AtzA is a dechlorinase with no detectable deaminase activity. Previous work has shown that two of the nine amino acids that differ between the two proteins (Asn328 and Ser331 in AtzA) are largely responsible for the differences in catalytic specificity, although the mechanistic basis for this difference has not been elucidated (38).
In this work, a structural model of AtzA has been generated, providing insight into the catalytic mechanism and the evolution of catalytic activity toward atrazine. Using this model, five amino acids within the substrate-binding pocket were chosen for randomization based on their proximity to a docked substrate. Combinatorial limited site saturation mutagenesis was used to generate a library, and several AtzA variants that displayed improved catalytic efficiency were selected. Generation of the "consensus" mutant, containing the residues selected for at the highest frequency at each position, yielded a variant enzyme with 20-fold-greater catalytic efficiency than that of wild-type AtzA.
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We constructed a limited site saturation library (GeneArt) in which the identities of 5 amino acid residues predicted to lie in the binding pocket for the N-isopropyl side chain of atrazine were randomized to 1 of the 15 amino acids encoded by the degenerate codon BNS, where B is T, G, or C; N is any base; and S is C or G (Table 1). This generated a library containing approximately 8 x 106 different mutant genes, encoding 6 x 105 different peptides. The quality of the library was such that fewer than 1 copy in 20 encoded a mutation in addition to those included by design. DNA sequence determination from 20 random clones from the library showed that there was no bias in the incorporation of nucleotides during the synthesis of the library.
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TABLE 1. Amino acids encoded by the degenerate BNS codon used in this study
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Library screening.
Variant enzymes with potentially improved atrazine dechlorinase activities were selected from the library on the basis of their capacity to produce zones of clearance on LB agar containing 1 mg·ml–1 atrazine and supplemented with 34 µg·ml–1 chloramphenicol. E. coli JM109 was used as the screening strain. Wild-type atzA was used as a control to establish the extent of wild-type AtzA activity in this assay, which formed visible zones of clearance after 48 h of growth at 37°C.
Protein purification.
Both TriA and the AtzA variants were expressed from pCS150, grown in 2-liter shake flasks (shaken at 250 rpm) in LB medium supplemented with chloramphenicol (34 µg·ml–1) at 37°C for 48 h. Cultures were sedimented by centrifugation and resuspended in AtzA reaction buffer (11). Cells were lysed by freeze-thawing, followed by sonication (Branson sonifier, model 250), and the soluble fraction was obtained by centrifugation at 14,000 x g for 30 min. TriA, AtzA, and the AtzA variants constituted greater than 50% of the total protein in the enriched sample by the ammonium-sulfate precipitation method described by de Souza et al. (11) and quantified by sodium dodecyl sulfate-polyacrylamide gel electrophoresis densitometry. Samples of bovine serum albumin (5, 10, and 20 µg) were loaded onto each gel analyzed by densitometry to provide an internal standard. Protein determinations were verified using the Bio-Rad protein assay dye (Bio-Rad). AtzA recovered from pCS150 containing wild-type atzA had approximately the same specific activity as the published value (11).
Enzyme kinetics.
The colorimetric chloro-s-triazine detection method of Tawfik and coworkers (50) was adapted to a 96-well microtiter plate format to allow moderate-throughput screening of specific activity and determination of the kinetic parameters of the variants. Briefly, pyridine is used to detect atrazine, as it reacts with chloro-s-triazines to produce colored products that can be quantified by measuring their absorbance at 436 nm. Determination of atrazine concentration from samples and standards was performed using a SpectroMAX 190 spectrophotometer (Molecular Devices). Specific activity assays were performed with 34.6 nM enzyme and 23 µM atrazine, equivalent to approximately 16% of the published Km of AtzA for atrazine (11). Initial velocities were determined using samples in which 10% or less of the substrate had been dechlorinated.
Steady-state kinetic analysis of wild-type AtzA and variants utilized the colorimetric protocol, using atrazine concentrations between 4.6 and 153 µM and enzyme concentrations of 10 nM. Where possible, the Km, the maximal reaction rate (Vmax), and the Hill coefficient for each reaction was calculated using a curve-fitting program (CurveExpert 1.3; http://curveexpert.webhop.biz/) that uses the Hill equation (1), V = Vmax([S]n/[KA]n + [S]n, where V is the reaction rate, [s] is the substrate concentration, KA is the substrate concentration at half the Vmax, and n is the Hill coefficient. The second-order rate constant (kcat/Km) for wild-type AtzA was calculated under the assumption that when [S] is much less than Km, V is equal to kcat/Km[E][S], where [E] is the enzyme concentration.
Liquid chromatography-mass spectrometry (LC-MS) was used to validate the colorimetric method used in the moderate-throughput specific-activity assay and to determine the kinetic properties of the TriA-mediated deamination of melamine. The substrates and products were first separated using an SB-C18 column (Zorbax) with a 0-to-100% methanol gradient. Samples were run in a 0.1% formate solution (high-pressure liquid chromatography grade). Atrazine, 2-hydroxyatrazine, melamine, and 2-hydroxymelamine were then detected using an Agilent G1969 LC-MS time of flight instrument. Initial velocities were determined using samples in which 10% or less of the substrate had been dechlorinated or deaminated. PESTANAL analytical standards of atrazine, hydroxyatrazine, and hydroxymelamine were obtained from Sigma-Aldrich. Melamine (>99% purity) was also obtained from Sigma-Aldrich.
Computational procedures.
The closest structural relatives of AtzA were identified by submitting the AtzA sequence to the FUGUE server (46; http://www-cryst.bioc.cam.ac.uk/fugue/). The closest relatives with known structures were a protein of unknown function from Thermotoga maritima (1J6P, 25% identity [unpublished]), the imidazolone propionase from Agrobacterium tumefaciens (2GOK, 17% identity [unpublished]), and the cytosine deaminase from E. coli (1K6W, 17% identity [24]). The sequence of AtzA was initially aligned with these templates using the T-COFFEE server. 1J6P was used as the primary template, and with a T-COFFEE pairwise alignment (36), the AtzA sequence was threaded onto the template using the program DEEPVIEW (25). The preliminary model was then optimized using the SWISS-MODEL workspace (http://swissmodel.expasy.org/workspace) (3), which successfully ligated all loops and minimized the structure. The robustness of the structure was monitored through analysis of plots of the Anolea mean force potential (34) and GROMOS (6) empirical force field energy, as implemented in the workspace. The structure was of good quality, consistent with the quality of the alignments.
The ab initio conformation of atrazine was calculated in the gas phase at the B3-LYP/6-to-31G(d) level of theory, as implemented in the SPARTAN software package (Wavefunction, Inc.) (59). Docking of atrazine at the active site of the AtzA model was undertaken first through manual positioning, using the program COOT (13), based on the positions of 4-imidazolone-5-propanoate and 4-hydroxy-3,4-dihydro-1H-pyrimidin-2-one in the templates 2GOK and 1K6W, respectively. The enzyme-substrate system was then minimized with the nonredundant basis set and the CHARMm (8) force field over 1,000 steps with a root mean square gradient of 0.1 kcal/(mol x Å), as implemented in the Discovery Studio software suite (Accelrys). Unless stated otherwise, default settings were used. Images were produced using PyMol Viewer v0.99rc6 (DeLano Scientific LLC.).
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interaction with the aromatic ring of the substrate; (iv) the N-isopropyl side chain pocket (Ala216, Thr217, Thr219, Ala220, and Asp250); and (v) the N-ethyl side chain pocket (Gln71, Gln96, Asn126, and Met155).
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FIG. 1. Alignment of the amino acid sequences of 1J6P and AtzA. The homology between AtzA and 1J6P is indicated. Conserved active-site- and substrate-binding pocket residues are in boldface.
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FIG. 2. Model of atrazine (center) docked in the active site of AtzA. The residues forming the hydrophobic base (Phe84, Trp87, and Leu88 [white]), the residues involved in coordination of the substrate (Glu246, Asn328, and Ser331 [purple]), the N-isopropyl binding pocket (Ala216, Thr217, Thr219, Ala220, and Asp250 [green]), and the N-ethyl binding pocket (Gln71, Gln96, Asn126, and Met155 [blue]) are shown. The residues that coordinate the active-site metal (His66, His68, His243, His276, and Asp327) have been omitted for clarity.
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Combinatorial mutagenesis.
Examination of the 1J6P-AtzA alignment (Fig. 1) reveals that the N-isopropyl side chain-binding pocket is in a region of good homology and that the model is likely to be relatively accurate. This was not the case for the pocket predicted to accommodate the N-ethyl group of the substrate. Thus, only the residues of the N-isopropyl side chain-binding pocket were selected to randomize in an attempt to improve the catalytic efficiency of AtzA. Since the amino acid residues that comprise the N-isopropyl pocket (Ala216, Thr217, Thr219, Ala220, and Asp250) did not appear to form a complementary pocket for the N-isopropyl side chain of atrazine, they were selected for randomization, with the rationale that by altering the composition of this pocket, it might be possible to reduce the Km of AtzA for atrazine by allowing more-productive contact with the substrate via their substitution by alternative amino acids. A combinatorial, limited site saturation library in which these amino acid residues were each replaced with 1 of the 15 amino acids encoded by the degenerate BNS codon was therefore made (Table 1).
The variant enzymes encoded by this library were screened for their ability to clear a "halo" in LB agar containing atrazine precipitate. The DNA sequences of variants that demonstrated more-rapid clearing than wild-type AtzA were determined, and variants with mutations outside the targeted region were discarded. From approximately 106 clones (12.5% of the possible diversity of the library at the DNA level; twofold screening coverage at the amino acid level), we selected 126 that formed zones of clearance more rapidly than wild-type AtzA and lacked additional mutations.
A secondary screen was then used to identify AtzA variants with high catalytic efficiency at low substrate concentrations, i.e., displaying low Km constants. Therefore, the 126 variants selected from the plate-clearing assay were assayed at a concentration of 23 µM atrazine (approximately 16% of the published Km of wild-type AtzA) (11). Sixty-three of these variants had specific activities at least twice that of the wild-type enzyme under these conditions, and 46 of them were at least five times more active than the wild-type enzyme (Fig. 3).
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FIG. 3. Distribution of the improvements (n-fold) in the specific activities of variants selected from the limited site saturation library. Specific activities were determined using a 23 µM initial concentration of atrazine and 34.6 nM enzyme.
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TABLE 2. Distribution of amino acids among the AtzA variants with specific activities greater than fivefold more than that of the wild type
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TABLE 3. Characterization of wild-type TriA, AtzA, and the most improved AtzA variants derived by limited site saturation mutagenesisa
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FIG. 4. (Top) Kinetic profiles for dechlorination of atrazine by wild-type AtzA (squares) and the AtzA 734 variant (triangles) as determined by colorimetric assay and by wild-type AtzA as determined by LC-MS (circles); (bottom) deamination of melamine by TriA as determined by LC-MS. Data varied by less than 10% in replicate experiments.
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Structural effects of the mutations.
The potential effects of the mutations found in the consensus variant were examined in the structural model. As seen in Fig. 5 and Table 2, there is a clear relationship between the selective pressure at each position and the proximity of the residues to the substrate. The positions under the strongest selective pressure (216 and 217) were closest to the substrate, followed by those positions under moderate selection pressure (220 and 250), while the position that was under no significant selective pressure was the most remote (219). Additionally, larger residues were substituted for the wild-type amino acids at the four closer sites (i.e., A216Y, T217D, A220H, and D250E). These changes are almost certain to result in closer contacts between the enzyme and the substrate, which is consistent with the large reduction in Km observed in the kinetic analysis.
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FIG. 5. Model of atrazine docked in the active site of the wild-type AtzA N-isopropyl pocket (A) and the consensus N-isopropyl pocket variant of AtzA (B). Residues in the N-isopropyl pocket that were randomized are shown, demonstrating the closer contacts between the enzyme and substrate in the consensus variant.
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stacking between the aromatic ring of the substrate and the hydrophobic base of the cavity formed by Phe84, Trp87, and Leu88, in addition to hydrogen bonding with the conserved glutamate (Glu246). The active-site metal ion (Fe2+) and Asp327 are positioned to activate a solvent molecule, resulting in the formation of a nucleophilic hydroxide. Nucleophilic attack at the C-4 carbon of atrazine would result in the formation of a tetrahedral intermediate. Breakdown of the intermediate and departure of the leaving group would be stabilized through the interaction between the halide and Ser331, which is in turn stabilized by hydrogen bonding to Asn328. The importance of positions 331 and 328 to catalysis has been verified elsewhere by mutagenesis (38).
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FIG. 6. Proposed catalytic mechanism for AtzA-mediated dechlorination of atrazine. The reaction proceeds by nucleophilic attack at C-4 of atrazine by the hydroxyl nucleophile (A), leading to the formation of the tetrahedral intermediate (B), followed by breakdown of the intermediate and departure of the chloride leaving group (C). Other residues that coordinate the active-site metal (His66, His68, His243, His276) have been omitted for clarity.
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The chemical differences between the leaving groups in the chlorohydrolase and deaminase reactions and the chemical properties of these distinct catalytic dyads (Asp-Cys/Asn-Ser) provide a mechanistic explanation for the rapid change in activity. As chloride leaving groups are considerably more labile than the amine leaving groups, it is reasonable to assume that activation of the amine group of melamine is important for efficient catalysis but that the chloride leaving group of atrazine is not. The catalytic dyads of the two enzymes appear perfectly suited to these distinct requirements. In the Asn328-Ser331 dyad of AtzA, the hydroxyl group of Ser331 may hydrogen bond to the leaving group and stabilize the developing negative charge in the transition state to lower the activation energy (Ser331 would be stabilized through its hydrogen bonding interaction with Asn328 but not strongly polarized). In contrast, in the Asp328-Cys331 dyad of TriA, the aspartic acid may abstract a proton from the cysteine and generate a thiolate that may activate the amine leaving group, thereby making it more electron withdrawing and amenable to departure.
This model predicts that the TriA dyad, or an intermediate dyad containing Asp328-Ser331, would be able to catalyze both reactions, since Ser331, polarized by Asp328, may substitute for Cys331 in activating the amine leaving group. In contrast, the second alternative dyad of Asn328-Cys331 would be catalytically inactive, since Asn328 would not be able to substitute for Asp328 in abstracting a proton from Cys331. Indeed, this is what is observed in the data of Raillard and coworkers (38). Thus, a clear evolutionary pathway from deaminase activity to exclusive chlorohydrolase activity, via a latent promiscuous activity (28), can involve as few as two amino acid substitutions.
Substrate cooperativity: an evolutionary remnant?
Although substrate cooperativity has not been observed in wild-type AtzA, its observation in the AtzA variants and TriA suggests that it is highly likely to exist in the wild-type enzyme and is not seen only because the Km for atrazine exceeds the solubility limit of the substrate. Thus, this kinetic phenomenon is most probably a remnant of an evolutionary progenitor with a far more soluble substrate. Indeed, amine-substituted aromatics have much higher solubility limits than their chlorine analogs, e.g., melamine (25 mM) versus atrazine (153 µM) (52). Melamine itself is a man-made compound and has been in the environment for only ca. 70 years, and it would be surprising for such a trait to have evolved so rapidly. It is therefore likely that AtzA and TriA share a common deaminase ancestor that displays substrate cooperativity, especially considering the observation that substrate cooperativity is a relatively common trait in deaminases (9, 35). Efforts are under way to probe the early stages of divergence in more detail and to identify the ancestor of TriA and AtzA in order to map the mechanism of AtzA's evolution more completely.
Evolutionary limits of AtzA.
Because of the recent emergence of AtzA, it is unlikely that the enzyme has fulfilled its evolutionary potential for the catalysis of atrazine hydrolysis. Indeed, the data presented here (Table 3) demonstrate that a 20-fold improvement in catalytic efficiency can be obtained by combinatorial randomization of only 5 residues, largely through a reduction in Km. Additionally, the high Hill coefficient values obtained from the variant AtzA enzymes (2.5 to 3.8) suggest that the positive cooperativity of the enzyme is highly optimized but for a much more soluble substrate.
Moreover, while the consensus AtzA variant has an improved turnover value (kcat = 27.9 s–1) compared with wild-type AtzA, the structurally and mechanistically related E. coli cytosine deaminase has a kcat value of 185 s–1 (37), a sevenfold increase compared to the kcat value of the consensus AtzA variant. These relative deaminase/dechlorinase rates are inconsistent with the chemical stability of cytosine and atrazine: the half-life of cytosine in water at pH 7.0 is estimated to be
340 years (30), whereas the half-life of atrazine is estimated to be <3 years (29). Considering that the cytosine deaminase has had many millions of years to evolve toward efficient deaminase activity, and AtzA has had less than a century, these relative rates are not entirely surprising and suggest that there is much potential for further evolution of dechlorinases.
Biotechnological significance of a catalytically improved AtzA.
AtzA has potential utility in both the generation of herbicide-resistant crops (57) and the bioremediation of atrazine contamination. Indeed, Kawahigashi and coworkers have proposed expressing mammalian cytochrome P450 in transgenic plants to phytoremediate atrazine (26, 27). Transgenic AtzA-expressing E. coli has also been employed in field trials to remove residual atrazine contamination in situ (47). Free-enzyme bioremediation is another option for the development of bioremediants which do not require the release of genetically modified organisms and also has many additional advantages (discussed in depth elsewhere) (2, 40, 48). Irrespective of the bioremediation strategy used, the demands on an enzyme for cost-effective use as a commercial bioremediant are somewhat stringent (2, 48) and include a requirement for a low Km to allow removal of contaminants to concentrations below the maximum residue limits prescribed by regulatory bodies.
The need to improve AtzA and functionally related enzymes has been noted by other investigators. There is a report of attempts to improve the catalytic characteristics of AtzA by creating chimeras of AtzA and TriA, yielding enzymes with broadened substrate specificities (38). Chimeras of TrzN, a triazine chlorohydrolase functionally related to AtzA, have been generated from naturally occurring variants, revealing the identities of residues important in determining substrate specificity (58). We envisage that catalytically improved atrazine dechlorinase enzymes, such as those described here and elsewhere, will play an important role in future bioremediation strategies.
This work was supported in part by Orica Australia Ltd.
Published ahead of print on 6 February 2009. ![]()
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