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1.
PLoS One ; 8(5): e65062, 2013.
Article in English | MEDLINE | ID: mdl-23741456

ABSTRACT

Phytases hydrolyse phytate (myo-inositol hexakisphosphate), the principal form of phosphate stored in plant seeds to produce phosphate and lower phosphorylated myo-inositols. They are used extensively in the feed industry, and have been characterised biochemically and structurally with a number of structures in the PDB. They are divided into four distinct families: histidine acid phosphatases (HAP), ß-propeller phytases, cysteine phosphatases and purple acid phosphatases and also split into three enzyme classes, the 3-, 5- and 6-phytases, depending on the position of the first phosphate in the inositol ring to be removed. We report identification, cloning, purification and 3D structures of 6-phytases from two bacteria, Hafnia alvei and Yersinia kristensenii, together with their pH optima, thermal stability, and degradation profiles for phytate. An important result is the structure of the H. alvei enzyme in complex with the substrate analogue myo-inositol hexakissulphate. In contrast to the only previous structure of a ligand-bound 6-phytase, where the 3-phosphate was unexpectedly in the catalytic site, in the H. alvei complex the expected scissile 6-phosphate (sulphate in the inhibitor) is placed in the catalytic site.


Subject(s)
6-Phytase/metabolism , Hafnia alvei/metabolism , Phytic Acid/metabolism , 6-Phytase/chemistry , 6-Phytase/genetics , Amino Acid Sequence , Binding Sites , Catalytic Domain , Hafnia alvei/classification , Hafnia alvei/genetics , Hydrolysis , Models, Molecular , Molecular Sequence Data , Phylogeny , Protein Binding , Protein Conformation , Sequence Alignment , Substrate Specificity
2.
BMC Biochem ; 11: 47, 2010 Dec 01.
Article in English | MEDLINE | ID: mdl-21122090

ABSTRACT

BACKGROUND: Glutamic peptidases, from the MEROPS family G1, are a distinct group of peptidases characterized by a catalytic dyad consisting of a glutamate and a glutamine residue, optimal activity at acidic pH and insensitivity towards the microbial derived protease inhibitor, pepstatin. Previously, only glutamic peptidases derived from filamentous fungi have been characterized. RESULTS: We report the first characterization of a bacterial glutamic peptidase (pepG1), derived from the thermoacidophilic bacteria Alicyclobacillus sp. DSM 15716. The amino acid sequence identity between pepG1 and known fungal glutamic peptidases is only 24-30% but homology modeling, the presence of the glutamate/glutamine catalytic dyad and a number of highly conserved motifs strongly support the inclusion of pepG1 as a glutamic peptidase. Phylogenetic analysis places pepG1 and other putative bacterial and archaeal glutamic peptidases in a cluster separate from the fungal glutamic peptidases, indicating a divergent and independent evolution of bacterial and fungal glutamic peptidases. Purification of pepG1, heterologously expressed in Bacillus subtilis, was performed using hydrophobic interaction chromatography and ion exchange chromatography. The purified peptidase was characterized with respect to its physical properties. Temperature and pH optimums were found to be 60°C and pH 3-4, in agreement with the values observed for the fungal members of family G1. In addition, pepG1 was found to be pepstatin-insensitive, a characteristic signature of glutamic peptidases. CONCLUSIONS: Based on the obtained results, we suggest that pepG1 can be added to the MEROPS family G1 as the first characterized bacterial member.


Subject(s)
Alicyclobacillus/enzymology , Glutamic Acid/metabolism , Peptide Hydrolases/chemistry , Peptide Hydrolases/metabolism , Amino Acid Sequence , Bacillus subtilis/genetics , Biocatalysis , Copper/pharmacology , DNA, Bacterial/genetics , Genome, Bacterial/genetics , Hydrogen-Ion Concentration , Manganese/pharmacology , Models, Molecular , Molecular Sequence Data , Pepstatins/pharmacology , Peptide Hydrolases/genetics , Peptide Hydrolases/isolation & purification , Phylogeny , Protease Inhibitors/pharmacology , Protein Structure, Secondary , Temperature
3.
Protein Eng ; 15(5): 403-11, 2002 May.
Article in English | MEDLINE | ID: mdl-12034860

ABSTRACT

Previously, we calculated a consensus amino acid sequence from 13 homologous fungal phytases. A synthetic gene was constructed and recombinantly expressed. Surprisingly, consensus phytase-1 was 15-26 degrees C more thermostable than all parent phytases used in its design [Lehmann et al. (2000)Protein Eng., 13, 49-57]. In the present study, inclusion of six further phytase sequences in the amino acid sequence alignment resulted in the replacement of 38 amino acid residues in either one or both of the new consensus phytases-10 and -11. Since consensus phytase-10, again, was 7.4 degrees C more thermostable than consensus phytase-1, the thermostability effects of most of the 38 amino acid substitutions were tested by site-directed mutagenesis. Both stabilizing and destabilizing mutations were identified, but all affected the stability of the enzyme by <3 degrees C. The combination of all stabilizing amino acid exchanges in a multiple mutant of consensus phytase-1 increased the unfolding temperature from 78.0 to 88.5 degrees C. Likewise, back-mutation of four destabilizing amino acids and introduction of an additional stabilizing amino acid in consensus phytase-10 further increased the unfolding temperature from 85.4 to 90.4 degrees C. The thermostabilization achieved is the result of a combination of slight improvements from multiple amino acid exchanges rather than being the effect of a single or of just a few dominating mutations that have been introduced by chance. The present findings support the general validity of the consensus concept for thermostability engineering of proteins.


Subject(s)
6-Phytase/chemistry , Fungal Proteins/chemistry , Hot Temperature , Protein Engineering , Saccharomyces cerevisiae Proteins/chemistry , 6-Phytase/genetics , 6-Phytase/metabolism , Amino Acid Sequence , Enzyme Stability , Fungal Proteins/metabolism , Molecular Sequence Data , Mutagenesis, Site-Directed , Pichia/enzymology , Sequence Alignment , Sequence Analysis, Protein
4.
Appl Environ Microbiol ; 68(4): 1907-13, 2002 Apr.
Article in English | MEDLINE | ID: mdl-11916711

ABSTRACT

For industrial applications in animal feed, a phytase of interest must be optimally active in the pH range prevalent in the digestive tract. Therefore, the present investigation describes approaches to rationally engineer the pH activity profiles of Aspergillus fumigatus and consensus phytases. Decreasing the negative surface charge of the A. fumigatus Q27L phytase mutant by glycinamidylation of the surface carboxy groups (of Asp and Glu residues) lowered the pH optimum by ca. 0.5 unit but also resulted in 70 to 75% inactivation of the enzyme. Alternatively, detailed inspection of amino acid sequence alignments and of experimentally determined or homology modeled three-dimensional structures led to the identification of active-site amino acids that were considered to correlate with the activity maxima at low pH of A. niger NRRL 3135 phytase, A. niger pH 2.5 acid phosphatase, and Peniophora lycii phytase. Site-directed mutagenesis confirmed that, in A. fumigatus wild-type phytase, replacement of Gly-277 and Tyr-282 with the corresponding residues of A. niger phytase (Lys and His, respectively) gives rise to a second pH optimum at 2.8 to 3.4. In addition, the K68A single mutation (in both A. fumigatus and consensus phytase backbones), as well as the S140Y D141G double mutation (in A. fumigatus phytase backbones), decreased the pH optima with phytic acid as substrate by 0.5 to 1.0 unit, with either no change or even a slight increase in maximum specific activity. These findings significantly extend our tools for rationally designing an optimal phytase for a given purpose.


Subject(s)
6-Phytase , Aspergillus fumigatus/enzymology , Genetic Engineering/methods , 6-Phytase/chemistry , 6-Phytase/genetics , 6-Phytase/metabolism , Amino Acid Sequence , Aspergillus fumigatus/genetics , Hydrogen-Ion Concentration , Molecular Sequence Data , Mutagenesis, Site-Directed , Sequence Alignment
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