Structure-based rational design and introduction of arginines on the surface of an alkaline α-amylase from Alkalimonas amylolytica for improved thermostability
In this study, the thermostability of an alkaline α-amylase from Alkalimonas amylolytica was significantly improved through structure-based rational and the introduction of multiple arginines (Arg) on the protein surface. Based on an analysis of the tertiary structure, seven residues (glutamine (Gln...
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Veröffentlicht in: | Applied microbiology and biotechnology 2014-11, Vol.98 (21), p.8937-8945 |
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Zusammenfassung: | In this study, the thermostability of an alkaline α-amylase from Alkalimonas amylolytica was significantly improved through structure-based rational and the introduction of multiple arginines (Arg) on the protein surface. Based on an analysis of the tertiary structure, seven residues (glutamine (Gln) 166, Gln 169, serine (Ser) 270, lysine (Lys) 315, Gln 327, asparagine (Asn) 346, and Asn 423) were selected as engineering targets and individually replaced with arginine. Five of the seven single-mutated enzymes—S270R, K315R, Q327R, N346R, and N423R—showed enhanced thermostability. Multiple arginines were subsequently introduced on the protein surface, and the quintuple-mutated enzyme S270R/K315R/Q327R/N346R/N423R showed a 6.4-fold improvement in half-life at 60 and a 5.4 °C increase in melting temperature (T ₘ) compared with those of wild-type enzyme. Concomitantly, the optimal temperature, optimal pH, and catalytic efficiency of this mutated enzyme also improved. The mutated enzyme displayed a large shift in optimal pH from 9.5 to 11.0. In addition, the optimum temperature increased from 50 to 55 °C, and the catalytic efficiency (k cₐₜ/K ₘ) increased from 1.8 × 10⁴ to 3.6 × 10⁴ L/(g · min). The intramolecular interactions of mutated enzymes that contributed to increased thermostability were examined through comparative analysis of the model structures of wild-type and mutated enzymes. The thermostable mutated enzymes generated in this study have potential applications in the textile industry. |
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ISSN: | 0175-7598 1432-0614 |
DOI: | 10.1007/s00253-014-5790-8 |