4.7 Article

Improving the odds: Influence of starting pools on in vitro selection outcomes

Journal

METHODS
Volume 106, Issue -, Pages 14-20

Publisher

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.ymeth.2016.04.021

Keywords

SELEX; In vitro selection; Molecular evolution; Aptamer; Ribozyme; Genotype; Phenotype

Funding

  1. Pew Charitable Trusts
  2. NIH EUREKA Program [R01GM094929]
  3. NSF [MCB-1330606]
  4. John Templeton Foundation/Foundation for Applied Molecular Evolution
  5. Direct For Biological Sciences [1330606] Funding Source: National Science Foundation
  6. Div Of Molecular and Cellular Bioscience [1330606] Funding Source: National Science Foundation

Ask authors/readers for more resources

As with any outcome of an evolutionary process, the success of in vitro selection experiments depends critically on the starting population. In vitro selections isolate functional nucleic acids that fold into specific structures and form unique binding and catalytic sites. The selection outcomes therefore depend on the molecular and structural diversity of the initial pools. In addition, the experiments are strongly influenced by the length of the starting pool. Longer randomized regions support the formation of more complex structures and presumably allow formation of more intricate tertiary interactions, but they also tend to misfold and aggregate, whereas shorter pools are sufficient to yield simpler motifs. Furthermore, introducing a sequence bias that promotes secondary structure formation appears to prejudice the population towards more functional macromolecules. We review the literature on the influence of the starting pools on the predicted and actual outcomes of laboratory evolution experiments. (C) 2016 Elsevier Inc. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available