Home LiteratureArticle Details
PMID: 8180226 Published · ppublish English Journal Article Research Support, U.S. Gov't, P.H.S.

Evolutionary optimization of the catalytic properties of a DNA-cleaving ribozyme.

Biochemistry ·Vol. 33 ·No. 19 ·1994-05-17 ·Pages 5966-73

Tsang J, Joyce GF

Abstract

In a previous study [Beaudry, A. A., & Joyce, G. F. (1992) Science 257, 635-641], an in vitro evolution procedure was used to obtain variants of the Tetrahymena ribozyme with 100-fold improved ability to cleave a target single-stranded DNA under physiologic conditions. Here we report continuation of the in vitro evolution process to achieve 10(5)-fold overall improvement in DNA-cleavage activity. In addition, we demonstrate that, by appropriate manipulation of the selection constraints, one can optimize specific catalytic properties of the evolved ribozymes. We first reduced the concentration of the DNA substrate 50-fold to favor ribozymes with improved substrate binding affinity. We then reduced the reaction time 12-fold to favor ribozymes with improved catalytic rate. In both cases, the evolving population responded as expected, first improving substrate binding 25-fold, and then improving catalytic rate about 50-fold. The population of ribozymes has undergone 27 successive generations of in vitro evolution, resulting in, on average, 17 mutations relative to the wild type that are responsible for the improved DNA-cleavage activity.

MeSH Terms
Animals Base Sequence Binding Sites Biological Evolution Catalysis DNA/metabolism Hydrolysis Kinetics Molecular Sequence Data Mutation Nucleic Acid Conformation RNA, Catalytic/genetics,metabolism RNA, Protozoan/genetics,metabolism Tetrahymena thermophila/genetics
Chemicals
RNA, Catalytic RNA, Protozoan DNA
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Tsang J
Department of Chemistry, Scripps Reseach Institute, La Jolla, California 92037.
Joyce G F
Article Info
Journal
Biochemistry
Abbr.
Biochemistry
ISSN
0006-2960
Published
1994-05-17
Pages
5966-73
Language
English
Region
United States
NLM ID
0370623
Subset
IM
Grants
NIAID NIH HHS · AI 30882 · United States
Analysis Services
Analysis Services

Contact

No. 2 Wenbo Road, Zhangqiu District, Jinan, Shandong

Qilu Normal University · Genelibs Bioinformatics Lab

750 Shunhua Rd, Jinan

2F, Bldg F, University Science Park

Tel: 0531-88819269

WeChat Official Account

Follow our WeChat subscription account for real-time updates and the latest in medical and biological research.


Business Email

E-mail: product@genelibs.com