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PMID: 15939434 Published · ppublish English Journal Article Research Support, N.I.H., Extramural Research Support, U.S. Gov't, Non-P.H.S. Research Support, U.S. Gov't, P.H.S.

Why high-error-rate random mutagenesis libraries are enriched in functional and improved proteins.

Journal of molecular biology ·Vol. 350 ·No. 4 ·2005-07-22 ·Pages 806-16

Drummond DA, Iverson BL, Georgiou G, Arnold FH

Abstract

The fraction of proteins that retain wild-type function after mutation has long been observed to decline exponentially as the average number of mutations per gene increases. Recently, several groups have used error-prone polymerase chain reactions (PCR) to generate libraries with 15 to 30 mutations per gene, on average, and have reported that orders of magnitude more proteins retain function than would be expected from the low-mutation-rate trend. Proteins with improved or novel function were isolated disproportionately from these high-error-rate libraries, leading to claims that high mutation rates unlock regions of sequence space that are enriched in positively coupled mutations. Here, we show experimentally that error-prone PCR produces a broader non-Poisson distribution of mutations consistent with a detailed model of PCR. As error rates increase, this distribution leads directly to the observed excesses in functional clones. We then show that while very low mutation rates result in many functional sequences, only a small number are unique. By contrast, very high mutation rates produce mostly unique sequences, but few retain function. Thus an optimal mutation rate exists that balances uniqueness and retention of function. Overall, high-error-rate mutagenesis libraries are enriched in improved sequences because they contain more unique, functional clones. Our findings demonstrate how optimal error-prone PCR mutation rates may be calculated, and indicate that "optimal" rates depend on both the protein and the mutagenesis protocol.

MeSH Terms
Data Interpretation, Statistical Gene Library Mutagenesis Mutation Poisson Distribution Polymerase Chain Reaction
Authors & Affiliations
4 authors, click to expand affiliations / ORCID
Drummond D Allan
Program in Computation and Neural Systems, California Institute of Technology, Mail Code 210-41, Pasadena, CA 91125-4100, USA.
Iverson Brent L
Georgiou George
Arnold Frances H
Article Info
Journal
Journal of molecular biology
Abbr.
J Mol Biol
ISSN
0022-2836
Published
2005-07-22
Pages
806-16
Language
English
Region
England
NLM ID
2985088R
Subset
IM
Grants
NIMH NIH HHS · 5 T32 MH19138 · United States
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