Literature DB >> 24904008

Lessons from diversity of directed evolution experiments by an analysis of 3,000 mutations.

Jing Zhao1, Tsvetan Kardashliev, Anna Joëlle Ruff, Marco Bocola, Ulrich Schwaneberg.   

Abstract

Diversity generation by random mutagenesis is often the first key step in directed evolution experiments and screening of 1,000-2,000 clones is in most directed evolution campaigns sufficient to identify improved variants. For experimentalists important questions such as how many positions are mutated in the targeted gene and what amino acid substitutions can be expected after screening of 1,000-2,000 clones are surprisingly not answered by a statistical analysis of mutant libraries. Therefore three random mutagenesis experiments (epPCR with a low- and a high-mutation frequency and a transversion-enriched sequence saturation mutagenesis method named SeSaM-Tv P/P) were performed on the lipase BSLA and in total 3,000 mutations were analyzed to determine the diversity in random mutagenesis libraries employed in directed evolution experiments. The active fraction of the population ranged from 15% (epPCR-high), to 52% (SeSaM-Tv P/P), and 55% (epPCR-low) which correlates well with the average number of amino acid substitutions per protein (4.1, 1.6 and 1.1). In the epPCR libraries transitions were the predominant mutations (>72%), and >82% of all mutations occurred at A- or T-nts. Consecutive nucleotide (nt) mutations were obtained only with a low fraction (2.8%) under highly error-prone conditions. SeSaM-Tv P/P was enriched in transversions (43%; >1.7-fold more than epPCR libraries), and consecutive nt mutations (30.5%; 11-fold more than epPCR-high). A high fraction of wild-type BSLA protein (33%) was found in the epPCR-low mutant library compared to 2% in epPCR-high and 13% in SeSaM-Tv P/P. An average of 1.8-1.9 amino acid substitutions per residue was obtained with epPCR-low and -high compared to 2.1 via SeSaM-Tv P/P. The chemical composition of the amino acid substitutions differed, however, significantly from the two epPCR methods to SeSaM-Tv P/P.
© 2014 Wiley Periodicals, Inc.

Entities:  

Keywords:  SeSaM; directed evolution; epPCR; polymerase bias; protein engineering; random mutagenesis

Mesh:

Year:  2014        PMID: 24904008     DOI: 10.1002/bit.25302

Source DB:  PubMed          Journal:  Biotechnol Bioeng        ISSN: 0006-3592            Impact factor:   4.530


  8 in total

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Authors:  Joanna C Sadler; Neil Swainston; Mark S Dunstan; Andrew Currin; Douglas B Kell
Journal:  Methods Mol Biol       Date:  2022

2.  Critical assessment of structure-based approaches to improve protein resistance in aqueous ionic liquids by enzyme-wide saturation mutagenesis.

Authors:  Till El Harrar; Mehdi D Davari; Karl-Erich Jaeger; Ulrich Schwaneberg; Holger Gohlke
Journal:  Comput Struct Biotechnol J       Date:  2021-12-16       Impact factor: 7.271

3.  Polar Substitutions on the Surface of a Lipase Substantially Improve Tolerance in Organic Solvents.

Authors:  Haiyang Cui; Markus Vedder; Lingling Zhang; Karl-Erich Jaeger; Ulrich Schwaneberg; Mehdi D Davari
Journal:  ChemSusChem       Date:  2022-02-09       Impact factor: 9.140

Review 4.  Genome editor-directed in vivo library diversification.

Authors:  Cristina Cheng; Mi Zhou; Qiwen Su; Alexandra Steigmeyer; Jia Niu
Journal:  Cell Chem Biol       Date:  2021-06-08       Impact factor: 9.039

Review 5.  Synthetic biology for the directed evolution of protein biocatalysts: navigating sequence space intelligently.

Authors:  Andrew Currin; Neil Swainston; Philip J Day; Douglas B Kell
Journal:  Chem Soc Rev       Date:  2015-03-07       Impact factor: 54.564

6.  In vitro flow cytometry-based screening platform for cellulase engineering.

Authors:  Georgette Körfer; Christian Pitzler; Ljubica Vojcic; Ronny Martinez; Ulrich Schwaneberg
Journal:  Sci Rep       Date:  2016-05-17       Impact factor: 4.379

7.  Mutanalyst, an online tool for assessing the mutational spectrum of epPCR libraries with poor sampling.

Authors:  Matteo Paolo Ferla
Journal:  BMC Bioinformatics       Date:  2016-04-04       Impact factor: 3.169

8.  Shuffling the Neutral Drift of Unspecific Peroxygenase in Saccharomyces cerevisiae.

Authors:  Javier Martin-Diaz; Carmen Paret; Eva García-Ruiz; Patricia Molina-Espeja; Miguel Alcalde
Journal:  Appl Environ Microbiol       Date:  2018-07-17       Impact factor: 4.792

  8 in total

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