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Making sense of transcription networks.
Sorrells, Trevor R; Johnson, Alexander D.
Afiliación
  • Sorrells TR; Department of Biochemistry & Biophysics and Department of Microbiology & Immunology, Tetrad Graduate Program, University of California, San Francisco, San Francisco, CA 94158, USA.
  • Johnson AD; Department of Biochemistry & Biophysics and Department of Microbiology & Immunology, Tetrad Graduate Program, University of California, San Francisco, San Francisco, CA 94158, USA. Electronic address: ajohnson@cgl.ucsf.edu.
Cell ; 161(4): 714-23, 2015 May 07.
Article en En | MEDLINE | ID: mdl-25957680
When transcription regulatory networks are compared among distantly related eukaryotes, a number of striking similarities are observed: a larger-than-expected number of genes, extensive overlapping connections, and an apparently high degree of functional redundancy. It is often assumed that the complexity of these networks represents optimized solutions, precisely sculpted by natural selection; their common features are often asserted to be adaptive. Here, we discuss support for an alternative hypothesis: the common structural features of transcription networks arise from evolutionary trajectories of "least resistance"--that is, the relative ease with which certain types of network structures are formed during their evolution.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Evolución Biológica / Redes Reguladoras de Genes Límite: Animals Idioma: En Revista: Cell Año: 2015 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Evolución Biológica / Redes Reguladoras de Genes Límite: Animals Idioma: En Revista: Cell Año: 2015 Tipo del documento: Article País de afiliación: Estados Unidos