title: Phenotypic models of evolution and development: geometry as destiny.
abstract: Quantitative models of development that consider all relevant genes typically are difficult to fit to embryonic data alone and have many redundant parameters. Computational evolution supplies models of phenotype with relatively few variables and parameters that allows the patterning dynamics to be reduced to a geometrical picture for how the state of a cell moves. The clock and wavefront model, that defines the phenotype of somitogenesis, can be represented as a sequence of two discrete dynamical transitions (bifurcations). The expression-time to space map for Hox genes and the posterior dominance rule are phenotypes that naturally follow from computational evolution without considering the genetics of Hox regulation.
authors.affiliation: McGill University, 3600 rue University, H3A2T8, Montreal, QC, Canada. paulf@physics.mcgill.ca
authors.forename: Paul
authors.initials: P
authors.lastname: François
authors.forename: Eric D
authors.initials: ED
authors.lastname: Siggia
mesh_terms: D005075:Biological Evolution; D019521:Body Patterning / Q000235:genetics* / Q000502:physiology; D047108:Embryonic Development; D018507:Gene Expression Regulation, Developmental; D005801:Genes, Homeobox / Q000235:genetics; D010641:Phenotype; D019170:Somites / Q000254:growth & development / Q000378:metabolism