Modeling the evolution of gene regulatory networks for spatial patterning in embryo development.

Procedia Comput Sci

Computer Science and CEWIT, SUNY Stony Brook, Stony Brook, New York, USA; and The Sechenov Institute of Evolutionary Physiology & Biochemistry, St.-Petersburg, Russia.

Published: January 2013

AI Article Synopsis

  • A key focus in evolutionary biology is understanding how species transition from having a specific number of units (like limbs or body segments) to a different number.
  • Researchers explore the diversity of forms through evolutionary computations on a gene regulatory network model, examining how changes in embryonic development result in new forms.
  • Their findings show that these evolutionary changes are gradual and stable, aligning with observed patterns in species stability and adaptability.

Article Abstract

A central question in evolutionary biology concerns the transition between discrete numbers of units (e.g. vertebrate digits, arthropod segments). How do particular numbers of units, robust and characteristic for one species, evolve into another number for another species? Intermediate phases with a diversity of forms have long been theorized, but these leave little fossil or genomic data. We use evolutionary computations (EC) of a gene regulatory network (GRN) model to investigate how embryonic development is altered to create new forms. The trajectories are epochal and non-smooth, in accord with both the observed stability of species and the evolvability between forms.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3849711PMC
http://dx.doi.org/10.1016/j.procs.2013.05.303DOI Listing

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