Biological fitness landscapes by deep mutational scanning

Methods Enzymol. 2020;643:203-224. doi: 10.1016/bs.mie.2020.04.023. Epub 2020 May 5.

Abstract

Knowledge of the distribution of fitness effects (DFE) of mutations is critical to the understanding of protein evolution. Here, we describe methods for large-scale, systematic measurements of the DFE using growth competition and deep mutational scanning. We discuss techniques for producing comprehensive libraries of gene variants as well as provide necessary considerations for designing these experiments. Using these methods, we have constructed libraries containing over 18,000 variants, measured fitness effects of these mutations by deep mutational scanning, and verified the presence of fitness effects in individual variants. Our methods provide a high-throughput protocol for measuring biological fitness effects of mutations and the dependence of fitness effects on the environment.

Keywords: Deep mutational scanning; Distribution of fitness effects; Fitness landscape; Growth competition; Protein evolution.

Publication types

  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Models, Genetic*
  • Mutation