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Dataset Information

Selection Shapes Transcriptional Logic and Regulatory Specialization in Genetic Networks.


ABSTRACT:

Background

Living organisms need to regulate their gene expression in response to environmental signals and internal cues. This is a computational task where genes act as logic gates that connect to form transcriptional networks, which are shaped at all scales by evolution. Large-scale mutations such as gene duplications and deletions add and remove network components, whereas smaller mutations alter the connections between them. Selection determines what mutations are accepted, but its importance for shaping the resulting networks has been debated.

Methodology

To investigate the effects of selection in the shaping of transcriptional networks, we derive transcriptional logic from a combinatorially powerful yet tractable model of the binding between DNA and transcription fact

SUBMITTER: Fogelmark K 

PROVIDER: S-EPMC4771205 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature