Improving the thermostability of alpha-amylase by combinatorial coevolving-site saturation mutagenesis

<p>Abstract</p> <p>Background</p> <p>The generation of focused mutant libraries at hotspot residues is an important strategy in directed protein evolution. Existing methods, such as combinatorial active site testing and residual coupling analysis, depend primarily on th...

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Main Authors: Wang Chenghua, Huang Ribo, He Bingfang, Du Qishi
Format: Article
Language:English
Published: BMC 2012-10-01
Series:BMC Bioinformatics
Online Access:http://www.biomedcentral.com/1471-2105/13/263
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spelling doaj-de8f9141ca0344669dd1ed6a73c333c72020-11-25T00:39:10ZengBMCBMC Bioinformatics1471-21052012-10-0113126310.1186/1471-2105-13-263Improving the thermostability of alpha-amylase by combinatorial coevolving-site saturation mutagenesisWang ChenghuaHuang RiboHe BingfangDu Qishi<p>Abstract</p> <p>Background</p> <p>The generation of focused mutant libraries at hotspot residues is an important strategy in directed protein evolution. Existing methods, such as combinatorial active site testing and residual coupling analysis, depend primarily on the evolutionary conserved information to find the hotspot residues. Hardly any attention has been paid to another important functional and structural determinants, the functionally correlated variation information--coevolution.</p> <p>Results</p> <p>In this paper, we suggest a new method, named combinatorial coevolving-site saturation mutagenesis (CCSM), in which the functionally correlated variation sites of proteins are chosen as the hotspot sites to construct focused mutant libraries. The CCSM approach was used to improve the thermal stability of α-amylase from <it>Bacillus subtilis</it> CN7 (Amy7C). The results indicate that the CCSM can identify novel beneficial mutation sites, and enhance the thermal stability of wild-type Amy7C by 8°C (<inline-formula><m:math name="1471-2105-13-263-i1" xmlns:m="http://www.w3.org/1998/Math/MathML"><m:msubsup><m:mi>T</m:mi><m:mn>50</m:mn><m:mn>30</m:mn></m:msubsup></m:math></inline-formula>), which could not be achieved with the ordinarily rational introduction of single or a double point mutation.</p> <p>Conclusions</p> <p>Our method is able to produce more thermostable mutant α-amylases with novel beneficial mutations at new sites. It is also verified that the coevolving sites can be used as the hotspots to construct focused mutant libraries in protein engineering. This study throws new light on the active researches of the molecular coevolution.</p> http://www.biomedcentral.com/1471-2105/13/263
collection DOAJ
language English
format Article
sources DOAJ
author Wang Chenghua
Huang Ribo
He Bingfang
Du Qishi
spellingShingle Wang Chenghua
Huang Ribo
He Bingfang
Du Qishi
Improving the thermostability of alpha-amylase by combinatorial coevolving-site saturation mutagenesis
BMC Bioinformatics
author_facet Wang Chenghua
Huang Ribo
He Bingfang
Du Qishi
author_sort Wang Chenghua
title Improving the thermostability of alpha-amylase by combinatorial coevolving-site saturation mutagenesis
title_short Improving the thermostability of alpha-amylase by combinatorial coevolving-site saturation mutagenesis
title_full Improving the thermostability of alpha-amylase by combinatorial coevolving-site saturation mutagenesis
title_fullStr Improving the thermostability of alpha-amylase by combinatorial coevolving-site saturation mutagenesis
title_full_unstemmed Improving the thermostability of alpha-amylase by combinatorial coevolving-site saturation mutagenesis
title_sort improving the thermostability of alpha-amylase by combinatorial coevolving-site saturation mutagenesis
publisher BMC
series BMC Bioinformatics
issn 1471-2105
publishDate 2012-10-01
description <p>Abstract</p> <p>Background</p> <p>The generation of focused mutant libraries at hotspot residues is an important strategy in directed protein evolution. Existing methods, such as combinatorial active site testing and residual coupling analysis, depend primarily on the evolutionary conserved information to find the hotspot residues. Hardly any attention has been paid to another important functional and structural determinants, the functionally correlated variation information--coevolution.</p> <p>Results</p> <p>In this paper, we suggest a new method, named combinatorial coevolving-site saturation mutagenesis (CCSM), in which the functionally correlated variation sites of proteins are chosen as the hotspot sites to construct focused mutant libraries. The CCSM approach was used to improve the thermal stability of α-amylase from <it>Bacillus subtilis</it> CN7 (Amy7C). The results indicate that the CCSM can identify novel beneficial mutation sites, and enhance the thermal stability of wild-type Amy7C by 8°C (<inline-formula><m:math name="1471-2105-13-263-i1" xmlns:m="http://www.w3.org/1998/Math/MathML"><m:msubsup><m:mi>T</m:mi><m:mn>50</m:mn><m:mn>30</m:mn></m:msubsup></m:math></inline-formula>), which could not be achieved with the ordinarily rational introduction of single or a double point mutation.</p> <p>Conclusions</p> <p>Our method is able to produce more thermostable mutant α-amylases with novel beneficial mutations at new sites. It is also verified that the coevolving sites can be used as the hotspots to construct focused mutant libraries in protein engineering. This study throws new light on the active researches of the molecular coevolution.</p>
url http://www.biomedcentral.com/1471-2105/13/263
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AT huangribo improvingthethermostabilityofalphaamylasebycombinatorialcoevolvingsitesaturationmutagenesis
AT hebingfang improvingthethermostabilityofalphaamylasebycombinatorialcoevolvingsitesaturationmutagenesis
AT duqishi improvingthethermostabilityofalphaamylasebycombinatorialcoevolvingsitesaturationmutagenesis
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