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

被引:182
作者
Huang, Sui [1 ]
机构
[1] Inst Syst Biol, Seattle, WA USA
基金
加拿大自然科学与工程研究理事会; 加拿大健康研究院;
关键词
attractor; epigenetics; gene regulatory network; Neo-Darwinism; systems biology; SYSTEMS BIOLOGY; NETWORKS; EVOLUTION; CELLS; EVOLVABILITY; CANALIZATION; MECHANISMS; STABILITY; PARADIGM; DYNAMICS;
D O I
10.1002/bies.201100031
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页码:149 / 157
页数:9
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