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Optimality in evolution: new insights from synthetic biology

Paper ID Volume ID Publish Year Pages File Format Full-Text
15673 42465 2013 6 PDF Available
Title
Optimality in evolution: new insights from synthetic biology
Abstract

•Synthetic biology provides new tools for studying optimality in evolution.•Optimization studies reveal evolutionary constraints.•Tradeoffs are central to understanding optimality in regulatory evolution.

Whether organisms evolve to perform tasks optimally has intrigued biologists since Lamarck and Darwin. Optimality models have been used to study diverse properties such as shape, locomotion, and behavior. However, without access to the genetic underpinnings or the ability to manipulate biological functions, it has been difficult to understand an organism's intrinsic potential and limitations. Now, novel experiments are overcoming these technical obstacles and have begun to test optimality in more quantitative terms. With the use of simple model systems, genetic engineering, and mathematical modeling, one can independently quantify the prevailing selective pressures and optimal phenotypes. These studies have given an exciting view into the evolutionary potential and constraints of biological systems, and hold the promise to further test the limits of predicting future evolutionary change.

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Publisher
Database: Elsevier - ScienceDirect
Journal: Current Opinion in Biotechnology - Volume 24, Issue 4, August 2013, Pages 797–802
Authors
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Subjects
Physical Sciences and Engineering Chemical Engineering Bioengineering
Get Full-Text Now
Don't Miss Today's Special Offer
Price was $35.95
You save - $31
Price after discount Only $4.95
100% Money Back Guarantee
Full-text PDF Download
Online Support
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