Document Type
Article
Publication Date
May 2012
Publication Title
Frontiers in Microbiology
Volume
3
First Page
198
DOI
10.3389/fmicb.2012.00198
Keywords
adaptive evolution, strain development, population dynamics, evolutionary engineering
Disciplines
Chemical Engineering | Engineering
Abstract
The adaptive landscape for an industrially relevant phenotype is determined by the effects of the genetic determinants on the fitness of the microbial system. Identifying the underlying adaptive landscape for a particular phenotype of interest will greatly enhance our abilities to engineer more robust microbial strains. Visualizing evolution in real-time (VERT) is a recently developed method based on in vitro adaptive evolution that facilitates the identification of fitter mutants throughout the course of evolution. Combined with high-throughput genomic tools, VERT can greatly enhance the mapping of adaptive landscapes of industrially relevant phenotypes in microbial systems, thereby expanding our knowledge on the parameters that can be used for strain engineering.
Recommended Citation
Luis Reyes, James Winkler, and Katy Kao. "Visualizing evolution in real-time method for strain engineering" Frontiers in Microbiology (2012): 198. https://doi.org/10.3389/fmicb.2012.00198
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Comments
SJSU users: Use the following link to login and access the article via SJSU databases.This article was published in Frontiers in Microbiology, volume 3, 2012, and can also be found online here.Copyright: © 2012 Reyes, Winkler and Kao