Evo-devo in silico: a model of a gene network regulating multicellular development in 3D space with artificial physics Export

@inproceedings{ALIFEXI, abstract = {We present a model of multicellular development controlled by a gene network in which the connectivity is determined by the proximity of sequences in N-dimensional space. Thus the sequences of individual genes can be visualised as points in space which approach or move away from one another as the genomes evolve. The genotype-phenotype (morphology) mapping in our model is indirect, relies on artificial physics, and allows cell adhesion and free movement in 3D space. Cell differentiation is allowed by positional information provided by factors that diffuse in this space, and the differential gene expression in each cell determines the cell fate (such us division, death, growth and movement). We apply a genetic algorithm to find genotypes that can direct morphogenesis of non-trivial asymmetrical shapes. We then investigate the mechanism of such developmental process and the features of gene regulatory network that direct the embryogenesis.}, author = {Joachimczak, Micha{\l} and Wr\'{o}bel, Borys}, booktitle = {Artificial Life XI: Proceedings of the Eleventh International Conference on the Simulation and Synthesis of Living Systems}, citeulike-article-id = {3997841}, citeulike-linkout-0 = {http://www.alifexi.org/papers/ALIFExi_pp297-304.pdf}, editor = {Bullock, S. and Noble, J. and Watson, R. and Bedau, M. A.}, keywords = {alife, artificial, embryogenesis, evo-devo, evolution, ga, genetic-algorithm, grn, morphology, shape}, pages = {297--304}, posted-at = {2009-02-02 17:26:11}, priority = {0}, publisher = {MIT Press, Cambridge, MA}, title = {Evo-devo \textit{in silico}: a model of a gene network regulating multicellular development in {3D} space with artificial physics}, url = {http://www.alifexi.org/papers/ALIFExi_pp297-304.pdf}, year = {2008} }

TY - CONF ID - ALIFEXI L3 - citeulike-article-id:3997841 N2 - We present a model of multicellular development controlled by a gene network in which the connectivity is determined by the proximity of sequences in N-dimensional space. Thus the sequences of individual genes can be visualised as points in space which approach or move away from one another as the genomes evolve. The genotype-phenotype (morphology) mapping in our model is indirect, relies on artificial physics, and allows cell adhesion and free movement in 3D space. Cell differentiation is allowed by positional information provided by factors that diffuse in this space, and the differential gene expression in each cell determines the cell fate (such us division, death, growth and movement). We apply a genetic algorithm to find genotypes that can direct morphogenesis of non-trivial asymmetrical shapes. We then investigate the mechanism of such developmental process and the features of gene regulatory network that direct the embryogenesis. EP - 304 TI - Evo-devo \textit{in silico}: a model of a gene network regulating multicellular development in {3D} space with artificial physics PB - MIT Press, Cambridge, MA T2 - Artificial Life XI: Proceedings of the Eleventh International Conference on the Simulation and Synthesis of Living Systems SP - 297 KW - alife KW - artificial KW - embryogenesis KW - evo-devo KW - evolution KW - ga KW - genetic-algorithm KW - grn KW - morphology KW - shape AU - Joachimczak, Michał AU - Wróbel, Borys A2 - Bullock, S A2 - Noble, J A2 - Watson, R A2 - Bedau, MA PY - 2008/// UR - http://www.alifexi.org/papers/ALIFExi_pp297-304.pdf ER -