Literature DB >> 21963598

A new method for random mutagenesis by error-prone polymerase chain reaction using heavy water.

Toshifumi Minamoto1, Eitaro Wada, Isamu Shimizu.   

Abstract

Error-prone polymerase chain reactions (epPCRs) are often used to introduce mutations in random mutagenesis, which has been used as a tool in protein engineering. Here, we developed a new method of epPCR using heavy water as a solvent instead of normal water (H(2)O). Rhodopsin cDNA of the Ayu fish (Plecoglossus altivelis) was used as a template and was amplified using five different conditions: (A) 100% H(2)O with no Mn(2+), (B) 100% H(2)O/0.6mM Mn(2+), (C) 99% D(2)O with no Mn(2+), (D) 99% D(2)O/0.6mM Mn(2+) and (E) 99% H(2)(18)O with no Mn(2+). The 13,960 (for each of the conditions A to D) and 33,504 (for condition E) base pairs were sequenced. A maximum error rate of 1.8×10(-3)errors/bp was detected in condition D, without any particular hot-spot mutations. A high preference for AT→GC transitions was observed in condition D, whereas a high preference for transitions over transversions was observed in condition C. All of the mutations observed in condition E were transversions. When conditions A and C were applied to another template, the honeybee actin gene, the results were comparable to those for Ayu rhodopsin. Based on these results, the use of heavy water, instead of H(2)O, as a solvent for epPCR can introduce random mutations without positional bias, template dependency or decreased yield. Our new epPCR method, and possibly combining the use of D(2)O and H(2)(18)O, may be a powerful random mutagenesis technique.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 21963598     DOI: 10.1016/j.jbiotec.2011.09.012

Source DB:  PubMed          Journal:  J Biotechnol        ISSN: 0168-1656            Impact factor:   3.307


  2 in total

1.  US132 Cyclodextrin Glucanotransferase Engineering by Random Mutagenesis for an Anti-Staling Purpose.

Authors:  Sonia Jemli; Mouna Jaoua; Samir Bejar
Journal:  Mol Biotechnol       Date:  2016-09       Impact factor: 2.695

Review 2.  Current Technological Improvements in Enzymes toward Their Biotechnological Applications.

Authors:  Mehak Baweja; Lata Nain; Yutaka Kawarabayasi; Pratyoosh Shukla
Journal:  Front Microbiol       Date:  2016-06-16       Impact factor: 5.640

  2 in total

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