Continuous Evolution Profile
Continuous Evolution Profile - Related Videos
05:08
A Practical Guide to Phage- and Robotics-Assisted Near-Continuous Evolution
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2024
Phage- and Robotics-assisted Near-continuous Evolution (PRANCE) is a technique for rapid, robust protein evolution. Robotics allows the parallelization of experiments, real-time monitoring, and feedback control.
12:02
Molecular Evolution of the Tre Recombinase
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Cited by 4 •
2008
Here we report the generation of Tre recombinase through directed, molecular evolution. Tre recombinase recognizes a pre-defined target sequence within the LTR sequences of the HIV-1 provirus, resulting in the excision and eradication of the provirus from infected human cells. While still in its infancy, directed molecular evolution will allow the creation of custom enzymes that will serve as tools of molecular surgery and molecular medicine.
11:20
Investigation of Early Plasma Evolution Induced by Ultrashort Laser Pulses
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Cited by 2 •
2012
An experimental method to examine the early plasma evolution induced by ultrashort laser pulses is described. Using this method, high quality images of early plasma are obtained with high temporal and spatial resolutions. A novel integrated atomistic model is used to simulate and explain the mechanisms of early plasma.
07:13
Using Topographic Maps to Generate Topographic Profiles
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2023
Source: Laboratory of Alan Lester - University of Colorado Boulder Topographic maps are "plan-view" representations of Earth's three-dimensional surface. They are a standard type of map-view that provides an overhead, or aerial, perspective. Among the defining features of a topographic map are the contour lines that indicate locations of constant elevation. The elevation interval between the contour lines is dependent on the level of detail provided by the map and the kind of topography present.
08:29
Expression Profiling with Microarrays
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2023
Microarrays are important tools for profiling gene expression, and are based on complementary binding between probes that are attached to glass chips and nucleic acids derived from samples. Using these arrays, scientists can simultaneously evaluate the expression of thousands of genes. In addition, the expression profiles of different cells or tissue types can be compared, allowing researchers to deduce how the expression of different genes change during biological processes, and thus gain...
FAQs
Mutation supplies genetic variation, while selection or screening determines which variants continue contributing to later generations. When these processes remain coupled, enrichment is not a one-time endpoint: the composition of the population can shift repeatedly as variants with the desired property become more represented. This makes the profile useful for examining adaptation as a dynamic process rather than a single comparison.
Changing selection conditions can alter which variants are favored and therefore reshape variant composition over successive generations. Comparing profiles under different conditions helps connect environmental or performance requirements with observed adaptation. In bioengineering, this is relevant when the desired outcome depends not only on a variant’s activity, specificity, or stability, but also on how well it performs under selected conditions.
Three profile features are especially informative: the rate of adaptation, shifts in variant composition, and responses to changing selection conditions. Together, they distinguish how quickly a system improves, which variants become enriched, and whether altered selection changes the evolutionary trajectory. Examining these features provides a structured way to relate population-level change to the property being engineered.
An iterative workflow begins by allowing genetic variation to arise, applies a selection or screening step, and carries forward variants that meet the desired criterion. Repeating those stages over successive generations produces a record of enrichment and adaptation. The resulting profile can then be examined for changes in variant composition and for how selection conditions affected the evolutionary trajectory.
The approach can be directed toward enzymes, proteins, genetic circuits, or microbial strains. Depending on the target, the desired improvement may involve activity, specificity, stability, or environmental performance. A continuous profile is valuable because it does more than identify an improved endpoint: it also shows how the engineered population changed while that property was being selected.
In bioengineering, the profile links evolutionary behavior with engineering outcomes. A rise in the representation of particular variants indicates enrichment under the applied selection or screening process, while the adaptation rate describes how rapidly the system changes. These observations help assess whether ongoing evolution is producing the intended improvement and how selection conditions influence performance over generations.