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The molecular and mathematical basis of Waddington's epigenetic landscape: A framework for post‐Darwinian biology?

2011· article· en· 368 citations· W2048438929 on OpenAlex· 10.1002/bies.201100031

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Opus teacher head0.013
GPT teacher head0.249
Teacher spread
0.236 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Abstract

The Neo-Darwinian concept of natural selection is plausible when one assumes a straightforward causation of phenotype by genotype. However, such simple 1:1 mapping must now give place to the modern concepts of gene regulatory networks and gene expression noise. Both can, in the absence of genetic mutations, jointly generate a diversity of inheritable randomly occupied phenotypic states that could also serve as a substrate for natural selection. This form of epigenetic dynamics challenges Neo-Darwinism. It needs to incorporate the non-linear, stochastic dynamics of gene networks. A first step is to consider the mathematical correspondence between gene regulatory networks and Waddington's metaphoric 'epigenetic landscape', which actually represents the quasi-potential function of global network dynamics. It explains the coexistence of multiple stable phenotypes within one genotype. The landscape's topography with its attractors is shaped by evolution through mutational re-wiring of regulatory interactions - offering a link between genetic mutation and sudden, broad evolutionary changes.

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The record

Venue
BioEssays
Topic
Gene Regulatory Network Analysis
Field
Biochemistry, Genetics and Molecular Biology
Canadian institutions
Funders
Natural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health Research
Keywords
BiologyDarwinismEvolutionary biologyEpigeneticsBasis (linear algebra)Computational biologyEcologyGeneticsGene
Has abstract in OpenAlex
yes