Myopic selection of novel information drives evolution.

Antoine Danchin

CNRS URA2171, 28 rue du Docteur Roux, 75724 Paris Cedex 15, France.

Current opinion in biotechnology (impact factor: 7.82). 09/2009; DOI: 10.1016/j.copbio.2009.07.004

Journal Article

Abstract

Synthetic biology aims at reconstructing life. Besides understanding what life is, its ultimate goal is to design cell factories meant to satisfy pressing needs. The success of genome transplantation demonstrates that the cell is split into a machine and a program. The program codes for processes that reproduce the machine and replicate the program. Reproduction is tightly linked to evolution, because the program codes for information trapping. Degradation processes make room to cope with ageing and inaccurate syntheses. Yet they use energy to prevent degradation of functional entities, thus permitting accumulation of innovation. Synthetic biology faces a dilemma: it will either implement the corresponding genes, and cells will evolve in an unpredictable manner, or omit them, and cells will age and have to be reconstructed periodically.

Source: PubMed

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Keywords

accumulation
 
corresponding genes
 
degradation
 
Degradation processes
 
design cell factories
 
functional entities
 
inaccurate syntheses
 
processes
 
program codes
 
reconstructing life
 
replicate
 
Synthetic biology
 
ultimate goal
 
unpredictable manner