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Curr Opin Chem Biol. 2012 Aug;16(3-4):323-8. doi: 10.1016/j.cbpa.2012.05.199. Epub 2012 Jun 8.

Synthetic approaches to understanding biological constraints.

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  • 1Massachusetts Institute of Technology, Department of Physics, Cambridge, MA, USA.

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.

Copyright © 2012 Elsevier Ltd. All rights reserved.

PMID:
22682889
[PubMed - indexed for MEDLINE]
PMCID:
PMC3432407
Free PMC Article

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