Literature DB >> 33753197

Protein engineering of stable IsPETase for PET plastic degradation by Premuse.

Xiangxi Meng1, Lixin Yang1, Hanqing Liu1, Qingbin Li2, Guoshun Xu1, Yan Zhang3, Feifei Guan1, Yuhong Zhang1, Wei Zhang1, Ningfeng Wu4, Jian Tian5.   

Abstract

Poly(ethylene terephthalate) (PET) is used widely by human beings, but is very difficult to degrade. Up to now, the PET degradation effect of PETase from Ideonella sakaiensis 201-F6 (IsPETase) variants with low stability and activity was not ideal. In this study, a mutation design tool, Premuse, was developed to integrate the sequence alignment and quantitative selection of the preferred mutations based on natural sequence evolution. Ten single point mutants were selected from 1486 homologous sequences using Premuse, and then two mutations (W159H and F229Y) with improved stability were screened from them. The derived double point mutant, W159H/F229Y, exhibited a strikingly enhanced enzymatic performance. Its Tm and catalytic efficiency values (kcat/Km) respectively increased by 10.4 °C and 2.0-fold using p-NPP as the substrate compared with wild type. The degradation activity for amorphous PET was increased by almost 40-fold in comparison with wild type at 40 °C in 24 h. Additionally, the variant could catalyze biodegradation of PET bottle preform at a mean rate of 23.4 mgPET/h/mgenzyme. This study allowed us to design the mutation more efficiently, and provides a tool for achieving biodegradation of PET pollution under mild natural environments.
Copyright © 2021. Published by Elsevier B.V.

Entities:  

Keywords:  IsPETase (PETase from Ideonella Sakaiensis); Poly(ethylene terephthalate) (PET) biodegradation; Protein engineering

Year:  2021        PMID: 33753197     DOI: 10.1016/j.ijbiomac.2021.03.058

Source DB:  PubMed          Journal:  Int J Biol Macromol        ISSN: 0141-8130            Impact factor:   6.953


  6 in total

Review 1.  Mechanism-Based Design of Efficient PET Hydrolases.

Authors:  Ren Wei; Gerlis von Haugwitz; Lara Pfaff; Jan Mican; Christoffel P S Badenhorst; Weidong Liu; Gert Weber; Harry P Austin; David Bednar; Jiri Damborsky; Uwe T Bornscheuer
Journal:  ACS Catal       Date:  2022-02-28       Impact factor: 13.084

2.  Recent Advances in Machine Learning Variant Effect Prediction Tools for Protein Engineering.

Authors:  Jesse Horne; Diwakar Shukla
Journal:  Ind Eng Chem Res       Date:  2022-04-06       Impact factor: 4.326

3.  An Efficient Protein Evolution Workflow for the Improvement of Bacterial PET Hydrolyzing Enzymes.

Authors:  Valentina Pirillo; Marco Orlando; Davide Tessaro; Loredano Pollegioni; Gianluca Molla
Journal:  Int J Mol Sci       Date:  2021-12-27       Impact factor: 5.923

Review 4.  Current Knowledge on Polyethylene Terephthalate Degradation by Genetically Modified Microorganisms.

Authors:  Aneta K Urbanek; Katarzyna E Kosiorowska; Aleksandra M Mirończuk
Journal:  Front Bioeng Biotechnol       Date:  2021-11-30

5.  Expression of a Cutinase of Moniliophthora roreri with Polyester and PET-Plastic Residues Degradation Activity.

Authors:  Laura Vázquez-Alcántara; Rosa María Oliart-Ros; Arturo García-Bórquez; Carolina Peña-Montes
Journal:  Microbiol Spectr       Date:  2021-11-03

6.  MPEPE, a predictive approach to improve protein expression in E. coli based on deep learning.

Authors:  Zundan Ding; Feifei Guan; Guoshun Xu; Yuchen Wang; Yaru Yan; Wei Zhang; Ningfeng Wu; Bin Yao; Huoqing Huang; Tamir Tuller; Jian Tian
Journal:  Comput Struct Biotechnol J       Date:  2022-03-01       Impact factor: 7.271

  6 in total

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