- AutorIn
- Martin Beck
- Gil Benkö
- Gunther J. Eble
- Christoph Flamm
- Stefan Müller
- Peter F. Stadler
- Titel
- Graph Grammars as Models for the Evolution of Developmental Pathways
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:15-qucosa2-320905
- Quellenangabe
- The logic of artificial life : abstracting and synthesizing the principles of living systems#proceedings of the 6th German Workshop on Artificial Life, April 14 - 16, 2004, Bamberg, Germany
Erscheinungsort: Berlin
Verlag: Aka
Erscheinungsjahr: 2004
Seiten: 8-15
ISBN: 978-3-89838-053-9 - Erstveröffentlichung
- 2004
- Abstract (EN)
- The large quantity and ready availability of developmental-genetic data, coupled with increased rigor and detail in the characterization of morphological phenotypes, has made the genotype-phenotype map of whole organisms a central challenge in evolutionary developmental biology. This in turn necessitates more general modeling strategies that can efficiently represent different types of biological knowledge and systematically applied across levels of organization, spatiotemporal scales, and taxonomic groups. Graph-based models appear useful in this context but have been remarkably underutilized in biology. Simulation of ontogenetic and evolutionary change by means of graphrewriting algorithms has been explored as a means of providing a coordinate-free approach to form transformation in time and space. A finite set of rules describing generic graph transformations is used to encode knowledge about morphogenetic steps. Their application to skeletal growth in sea urchins effectively models ontogenesis in terms of topology rather than specific geometry, suggesting a promising approach to general modeling of developmental evolution.
- Freie Schlagwörter (EN)
- developmental biology
- Version / Begutachtungsstatus
- publizierte Version / Verlagsversion
- URN Qucosa
- urn:nbn:de:bsz:15-qucosa2-320905
- Veröffentlichungsdatum Qucosa
- 05.11.2018
- Dokumenttyp
- Konferenzbeitrag
- Sprache des Dokumentes
- Englisch