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Updated: May 21, 2026

Intermediate Strain Rate Material Characterization with Digital Image Correlation
Published on: March 1, 2019
Visualizing evolution in real-time method for strain engineering
Luis H Reyes1, James Winkler, Katy C Kao
1Department of Chemical Engineering, Texas A&M University, College Station, TX, USA.
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.
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