Literature DB >> 31665817

Evolutionary coupling saturation mutagenesis: Coevolution-guided identification of distant sites influencing Bacillus naganoensis pullulanase activity.

Xinye Wang1, Xiaoran Jing1, Yi Deng1, Yao Nie1, Fei Xu1, Yan Xu1,2, Yi-Lei Zhao3, John F Hunt4, Gaetano T Montelione5,6,7, Thomas Szyperski8.   

Abstract

Pullulanases are well-known debranching enzymes hydrolyzing α-1,6-glycosidic linkages. To date, engineering of pullulanase is mainly focused on catalytic pocket or domain tailoring based on structure/sequence information. Saturation mutagenesis-involved directed evolution is, however, limited by the low number of mutational sites compatible with combinatorial libraries of feasible size. Using Bacillus naganoensis pullulanase as a target protein, here we introduce the 'evolutionary coupling saturation mutagenesis' (ECSM) approach: residue pair covariances are calculated to identify residues for saturation mutagenesis, focusing directed evolution on residue pairs playing important roles in natural evolution. Evolutionary coupling (EC) analysis identified seven residue pairs as evolutionary mutational hotspots. Subsequent saturation mutagenesis yielded variants with enhanced catalytic activity. The functional pairs apparently represent distant sites affecting enzyme activity.
© 2019 Federation of European Biochemical Societies.

Entities:  

Keywords:  activity; coevolving residues; directed evolution; evolutionary information; pullulanase; saturation mutagenesis

Mesh:

Substances:

Year:  2019        PMID: 31665817      PMCID: PMC7194205          DOI: 10.1002/1873-3468.13652

Source DB:  PubMed          Journal:  FEBS Lett        ISSN: 0014-5793            Impact factor:   4.124


  73 in total

1.  Direct-coupling analysis of residue coevolution captures native contacts across many protein families.

Authors:  Faruck Morcos; Andrea Pagnani; Bryan Lunt; Arianna Bertolino; Debora S Marks; Chris Sander; Riccardo Zecchina; José N Onuchic; Terence Hwa; Martin Weigt
Journal:  Proc Natl Acad Sci U S A       Date:  2011-11-21       Impact factor: 11.205

2.  Establishing the catalytic mechanism of human pancreatic α-amylase with QM/MM methods.

Authors:  Gaspar P Pinto; Natércia F Brás; Marta A S Perez; Pedro A Fernandes; Nino Russo; Maria J Ramos; Marirosa Toscano
Journal:  J Chem Theory Comput       Date:  2015-06-09       Impact factor: 6.006

3.  Reducing codon redundancy and screening effort of combinatorial protein libraries created by saturation mutagenesis.

Authors:  Sabrina Kille; Carlos G Acevedo-Rocha; Loreto P Parra; Zhi-Gang Zhang; Diederik J Opperman; Manfred T Reetz; Juan Pablo Acevedo
Journal:  ACS Synth Biol       Date:  2012-06-22       Impact factor: 5.110

4.  Improving the thermostability and catalytic efficiency of Bacillus deramificans pullulanase by site-directed mutagenesis.

Authors:  Xuguo Duan; Jian Chen; Jing Wu
Journal:  Appl Environ Microbiol       Date:  2013-04-26       Impact factor: 4.792

5.  Tryptophan phosphorescence study of enzyme flexibility and unfolding in laboratory-evolved thermostable esterases.

Authors:  A Gershenson; J A Schauerte; L Giver; F H Arnold
Journal:  Biochemistry       Date:  2000-04-25       Impact factor: 3.162

6.  Hidden Markov model speed heuristic and iterative HMM search procedure.

Authors:  L Steven Johnson; Sean R Eddy; Elon Portugaly
Journal:  BMC Bioinformatics       Date:  2010-08-18       Impact factor: 3.169

7.  Modeling domino effects in enzymes: molecular basis of the substrate specificity of the bacterial metallo-beta-lactamases IMP-1 and IMP-6.

Authors:  Peter Oelschlaeger; Rolf D Schmid; Juergen Pleiss
Journal:  Biochemistry       Date:  2003-08-05       Impact factor: 3.162

8.  Protein sectors: evolutionary units of three-dimensional structure.

Authors:  Najeeb Halabi; Olivier Rivoire; Stanislas Leibler; Rama Ranganathan
Journal:  Cell       Date:  2009-08-21       Impact factor: 41.582

Review 9.  Inferring Pairwise Interactions from Biological Data Using Maximum-Entropy Probability Models.

Authors:  Richard R Stein; Debora S Marks; Chris Sander
Journal:  PLoS Comput Biol       Date:  2015-07-30       Impact factor: 4.475

10.  Downsizing a pullulanase to a small molecule with improved soluble expression and secretion efficiency in Escherichia coli.

Authors:  Ana Chen; Yang Sun; Wei Zhang; Feng Peng; Chunjun Zhan; Meng Liu; Yankun Yang; Zhonghu Bai
Journal:  Microb Cell Fact       Date:  2016-01-14       Impact factor: 5.328

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  4 in total

1.  Oligomeric interactions maintain active-site structure in a noncooperative enzyme family.

Authors:  Yaohui Li; Rongzhen Zhang; Chi Wang; Farhad Forouhar; Oliver B Clarke; Sergey Vorobiev; Shikha Singh; Gaetano T Montelione; Thomas Szyperski; Yan Xu; John F Hunt
Journal:  EMBO J       Date:  2022-07-08       Impact factor: 14.012

2.  Structural evolution of the ancient enzyme, dissimilatory sulfite reductase.

Authors:  Daniel R Colman; Gilles Labesse; Gurla V T Swapna; Johanna Stefanakis; Gaetano T Montelione; Eric S Boyd; Catherine A Royer
Journal:  Proteins       Date:  2022-02-18

3.  Modulating Glycoside Hydrolase Activity between Hydrolysis and Transfer Reactions Using an Evolutionary Approach.

Authors:  Rodrigo A Arreola-Barroso; Alexey Llopiz; Leticia Olvera; Gloria Saab-Rincón
Journal:  Molecules       Date:  2021-10-30       Impact factor: 4.411

4.  Enhancing the Catalytic Activity of Type II L-Asparaginase from Bacillus licheniformis through Semi-Rational Design.

Authors:  Yawen Zhou; Linshu Jiao; Juan Shen; Huibing Chi; Zhaoxin Lu; Huawei Liu; Fengxia Lu; Ping Zhu
Journal:  Int J Mol Sci       Date:  2022-08-26       Impact factor: 6.208

  4 in total

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