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Development and Morphogenesis

  • Johannes F. KnabeEmail author
Part of the Studies in Computational Intelligence book series (SCI, volume 428)

Abstract

In morphogenesis1 dividing cells assemble into differentiated shapes, using decentralised control and self-organisation. The development of multicellular organisms from a single fertilised egg cell has fascinated humans at least since Aristotle’s speculations more than 2000 years ago [Wolpert et al(2007)Wolpert, Jessell, Lawrence, Meyerowitz, Robertson, and Smith]. In the more recent past our understanding of how interacting genes direct developmental processes has greatly increased [West-Eberhard(2003),Gerhart and Kirschner(1997),Wolpert et al(2007)Wolpert, Jessell, Lawrence, Meyerowitz, Robertson, and Smith, Arthur(2000)], see earlier sections on evo-devo, 2.2, and its molecular basis, section 3.1.1. Cell differentiation, the inducing effects of intercellular signalling via “morphogens”, changes in cell form like contraction, the self-organising properties of adhesion and cell sorting in animal morphogenesis [Glazier and Graner(1993)] are among the important principles better understood now. [Nehaniv(2005)] discusses GRNs as a potential computational paradigm with high evolvability. And although every cell is controlled by a Genetic Regulatory Network (GRN), the resulting multicellular dynamics are also strongly influenced by physical constraints.

Keywords

Multicellular Organism Reaction Diffusion System Energy Constraint Target Pattern Genetic Regulatory Network 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Science and Technology Research InstituteUniversity of HertfordshireHatfieldUnited Kingdom

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