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.
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© 2013 Springer Berlin Heidelberg
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Knabe, J.F. (2013). Development and Morphogenesis. In: Computational Genetic Regulatory Networks: Evolvable, Self-organizing Systems. Studies in Computational Intelligence, vol 428. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30296-1_6
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DOI: https://doi.org/10.1007/978-3-642-30296-1_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-30295-4
Online ISBN: 978-3-642-30296-1
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