Medical Journals

Genetic Properties Influencing the Evolvability of Gene Expression.

Authors:
  • Landry Christian R
  • Lemos Bernardo
  • Rifkin Scott A
  • Dickinson W J
  • Hartl Daniel L

From: Department of Organismic and Evolutionary Biology, Harvard University, 16 Divinity Avenue, Cambridge, MA 02138, USA. clandry@post.harvard.edu

Science (New York, N.Y.)

  • Publish Date: Jul 2007
  • ISSN: 1095-9203
  • Volume: 317
  • Issue: 5834
  • Pages: 118-21
  • Medium: Internet
  • Language: English
  • Citation (JAMA): Landry Christian R, Lemos Bernardo, Rifkin Scott A, et al. Genetic Properties Influencing the Evolvability of Gene Expression.. Science Jul 2007;317:118-21

Abstract

Identifying the properties of gene networks that influence their evolution is a fundamental research goal. However, modes of evolution cannot be inferred solely from the distribution of natural variation, because selection interacts with demography and mutation rates to shape polymorphism and divergence. We estimated the effects of naturally occurring mutations on gene expression while minimizing the effect of natural selection. We demonstrate that sensitivity of gene expression to mutations increases with both increasing trans-mutational target size and the presence of a TATA box. Genes with greater sensitivity to mutations are also more sensitive to systematic environmental perturbations and stochastic noise. These results provide a mechanistic basis for gene expression evolvability that can serve as a foundation for realistic models of regulatory evolution.

Mesh Headings (Keywords): Binding Sites, Evolution, Molecular, Gene Expression, Gene Expression Regulation, Fungal, Gene Regulatory Networks, Genes, Fungal, Linear Models, Models, Genetic, Mutation, Oligonucleotide Array Sequence Analysis, Phenotype, Promoter Regions (Genetics), Saccharomyces cerevisiae, Selection (Genetics), TATA Box, Transcription Factors, Transcription, Genetic, Variation (Genetics)


Check for Full Text / PubMed Unique Identifier (PMID): 17525304


This abstract is part of PubMed, a service of the U.S. National Library of Medicine. PubMed includes more than 17 million citations from MEDLINE and other life science journals for biomedical articles. See Copyright and Disclaimers.

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The data herein was last updated on January 1st, 1970 and may not reflect the most current and accurate data available from NLM.


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