Synthetic approaches to understanding biological constraints
Name
Gore_Synthetic approaches.pdf
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397.89 KB
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Adobe PDF
Checksum (MD5)
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Author(s)
Velenich, Andrea
Gore, Jeff
Date Issued
August 2012
Journal
Current Opinion in Chemical Biology
Publisher
Elsevier B.V.
Citation
Velenich, Andrea, and Jeff Gore. “Synthetic Approaches to Understanding Biological Constraints.” Current Opinion in Chemical Biology 16, no. 3–4 (August 2012): 323–328.
Version
Author's final manuscript
Abstract
Microbes can be readily cultured and their genomes can be easily manipulated. For these reasons, laboratory systems of unicellular organisms are increasingly used to develop and test theories about biological constraints, which manifest themselves at different levels of biological organization, from optimal gene-expression levels to complex individual and social behaviors. The quantitative description of biological constraints has recently advanced in several areas, such as the formulation of global laws governing the entire economy of a cell, the direct experimental measurement of the trade-offs leading to optimal gene expression, the description of naturally occurring fitness landscapes, and the appreciation of the requirements for a stable bacterial ecosystem.
MIT Department
Massachusetts Institute of Technology. Department of Physics
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
https://doi.org/10.1016/j.cbpa.2012.05.199
