+ Site Statistics
+ Search Articles
+ Subscribe to Site Feeds
Most Shared
PDF Full Text
+ PDF Full Text
Request PDF Full Text
+ Follow Us
Follow on Facebook
Follow on Twitter
Follow on LinkedIn
+ Translate
+ Recently Requested

Phenotypic and dynamical transitions in model genetic networks. I. Emergence of patterns and genotype-phenotype relationships

Phenotypic and dynamical transitions in model genetic networks. I. Emergence of patterns and genotype-phenotype relationships

Evolution and Development 3(2): 84-94

Genotype-phenotype interactions during the evolution of form in multicellular organisms is a complex problem but one that can be aided by computational approaches. We present here a framework within which developmental patterns and their underlying genetic networks can be simulated. Gene networks were chosen to reflect realistic regulatory circuits, including positive and negative feedback control, and the exchange of a subset of gene products between cells, or within a syncytium. Some of these networks generate stable spatial patterns of a subset of their molecular constituents, and can be assigned to categories (e.g., "emergent" or "hierarchic") based on the topology of molecular circuitry. These categories roughly correspond to what has been discussed in the literature as "self-organizing" and "programmed" processes of development. The capability of such networks to form patterns of repeating stripes was studied in network ensembles in which parameters of gene-gene interaction were caused to vary in a manner analogous to genetic mutation. The evolution under mutational change of individual representative networks of each category was also simulated. We have found that patterns with few stripes (< or =3) are most likely to originate in the form of a hierarchic network, whereas those with greater numbers of stripes (> or =4) originate most readily as emergent networks. However, regardless of how many stripes it contains, once a pattern is established, there appears to be an evolutionary tendency for emergent mechanisms to be replaced by hierarchic mechanisms. These results have potential significance for the understanding of genotype-phenotype relationships in the evolution of metazoan form.

(PDF emailed within 0-6 h: $19.90)

Accession: 046973819

Download citation: RISBibTeXText

PMID: 11341677

DOI: 10.1046/j.1525-142x.2001.003002084.x

Related references

Phenotypic and dynamical transitions in model genetic networks. II. Application to the evolution of segmentation mechanisms. Evolution and Development 3(2): 95-103, 2001

Modelling genotype-phenotype relationships and human disease with genetic interaction networks. Journal of Experimental Biology 210(Pt 9): 1559-1566, 2007

Construction of the model for the Genetic Analysis Workshop 14 simulated data: genotype-phenotype relationships, gene interaction, linkage, association, disequilibrium, and ascertainment effects for a complex phenotype. Bmc Genetics 6 Suppl 1: S3, 2006

Genotype/phenotype correlation in autism: genetic models and phenotypic characterization. L'Encephale 37(1): 68-74, 2011

Impact of stoichiometry representation on simulation of genotype-phenotype relationships in metabolic networks. Plos Computational Biology 8(11): E1002758, 2013

Global Genetic Networks and the Genotype-to-Phenotype Relationship. Cell 177(1): 85-100, 2019

The DDBJ Japanese Genotype-phenotype Archive for genetic and phenotypic human data. Nucleic Acids Research 43(Database Issue): D18-D22, 2015

Characterization of genotype-phenotype relationships and stratification by the CARD15 variant genotype for inflammatory bowel disease susceptibility loci using multiple short tandem repeat genetic markers. Human Mutation 25(2): 156-166, 2005

Phenotypic heterogeneity and phenotype-genotype correlations in dystrophinopathies: Contribution of genetic and clinical databases. Revue Neurologique 169(8-9): 583-594, 2014

Changing genetic paradigms: creating next-generation genetic databases as tools to understand the emerging complexities of genotype/phenotype relationships. Human Genomics 8: 9, 2014

Ab initio genotype-phenotype association reveals intrinsic modularity in genetic networks. Molecular Systems Biology 2: 2006.0005-2006.0005, 2006

Genetic Background Limits Generalizability of Genotype-Phenotype Relationships. Neuron 91(6): 1253-1259, 2017

A dynamical model of genetic networks for cell differentiation. Plos One 6(3): E17703, 2011

The dog: A powerful model for studying genotype-phenotype relationships. Comparative Biochemistry and Physiology. Part D, Genomics and Proteomics 3(1): 67-77, 2008

Genetic structure and the search for genotype-phenotype relationships: an example from disequilibrium in the Apo B gene region. Genetics 129(2): 525-533, 1991