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Related Concept Videos

Combinatorial Gene Control02:33

Combinatorial Gene Control

Combinatorial gene control is the synergistic action of several transcriptional factors to regulate the expression of a single gene. The absence of one or more of these factors may lead to a significant difference in the level of gene expression or repression.
The expression of more than 30,000 genes is controlled by approximately 2000-3000 transcription factors. This is possible because a single transcription factor can recognize more than one regulatory sequence. The specificity in gene...
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Epistasis Analysis

Although Mendel chose seven unrelated traits in peas to study gene segregation, most traits involve multiple gene interactions that create a spectrum of phenotypes. When the interaction of various genes or alleles at different locations influences a phenotype, this is called epistasis. Epistasis often involves one gene masking or interfering with the expression of another (antagonistic epistasis). Epistasis often occurs when different genes are part of the same biochemical pathway. The...
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Regulation of Expression at Multiple Steps

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Using Caenorhabditis elegans to Screen for Tissue-Specific Chaperone Interactions
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Selection, gene interaction, and flexible gene networks.

R J Greenspan1

  • 1The Neurosciences Institute, San Diego, California 92121 and The Kavli Institute for Brain and Mind, University of California at San Diego, La Jolla, CA 92093-0526, USA. greenspan@nsi.edu

Cold Spring Harbor Symposia on Quantitative Biology
|November 12, 2009
PubMed
Summary
This summary is machine-generated.

New research reveals that a broad spectrum of genes, beyond classical "core genes," influence organism traits. Gene networks exhibit remarkable flexibility, enabling gradual evolutionary changes that pave the way for major evolutionary leaps.

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Related Experiment Videos

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Area of Science:

  • Genetics
  • Evolutionary Biology
  • Developmental Biology

Background:

  • Classical mutant screens identified a limited set of
  • core genes
  • affecting phenotype.
  • Previous understanding underestimated the genetic basis of phenotypic variation.

Purpose of the Study:

  • To investigate the full range of genes influencing phenotype.
  • To explore the dynamic nature of gene networks and their role in evolution.

Main Methods:

  • Laboratory selection experiments
  • Gene interaction studies
  • Behavioral assays

Main Results:

  • A wider array of genes than previously known significantly impacts phenotype.
  • Mild variants of pleiotropic genes can lead to specific phenotypes when combined.
  • Gene networks demonstrate high flexibility and malleability, readily reconfiguring in response to genetic variation.

Conclusions:

  • Phenotypic evolution is driven by a more extensive set of genes than previously recognized.
  • The plasticity of gene networks provides a mechanism for microevolutionary adaptation.
  • This adaptability is crucial for accommodating large-effect mutations, facilitating the transition from microevolution to macroevolution.