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PMID: 18319722 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

Selection to minimise noise in living systems and its implications for the evolution of gene expression.

Molecular systems biology ·Vol. 4 ·2008-00-00 ·Pages 170

Lehner B

Abstract

Gene expression, like many biological processes, is subject to noise. This noise has been measured on a global scale, but its general importance to the fitness of an organism is unclear. Here, I show that noise in gene expression in yeast has evolved to prevent harmful stochastic variation in the levels of genes that reduce fitness when their expression levels change. Therefore, there has probably been widespread selection to minimise noise in gene expression. Selection to minimise noise, because it results in gene expression that is stable to stochastic variation in cellular components, may also constrain the ability of gene expression to respond to non-stochastic variation. I present evidence that this has indeed been the case in yeast. I therefore conclude that gene expression noise is an important biological trait, and one that probably limits the evolvability of complex living systems.

MeSH Terms
Algorithms Computational Biology Databases, Protein Evolution, Molecular Fungal Proteins/metabolism Fungi/genetics Gene Expression Profiling Gene Expression Regulation, Fungal Genes, Fungal Models, Genetic Protein Interaction Mapping Selection, Genetic Stochastic Processes Systems Biology Transcription, Genetic
Chemicals
Fungal Proteins
Authors & Affiliations
1 authors, click to expand affiliations / ORCID
Lehner Ben
EMBL-CRG Systems Biology Unit, Barcelona, Spain. ben.lehner@crg.es
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Article Info
Journal
Molecular systems biology
Abbr.
Mol Syst Biol
ISSN
1744-4292
Published
2008-00-00
Epub
2008-00-04
Pages
170
Language
English
Region
England
NLM ID
101235389
PMCID
PMC2290932
Subset
IM
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