Literature DB >> 19792402

Repressor lattice: feedback, commensurability, and dynamical frustration.

Mogens H Jensen1, Sandeep Krishna, Simone Pigolotti.   

Abstract

We construct a hexagonal lattice of repressing genes, such that each node represses three of the neighbors, and use it as a model for genetic regulation in spatially extended systems. Using symmetry arguments and stability analysis we argue that the repressor lattice can be in a nonfrustrated oscillating state with only three distinct phases. If the system size is not commensurate with three, oscillating solutions of several different phases are possible. As the strength of the interactions between the nodes increases, the system undergoes many transitions, breaking several symmetries. Eventually dynamical frustrated states appear, where the temporal evolution is chaotic, even though there are no built-in frustrations. Applications of the repressor lattice to real biological systems are discussed.

Mesh:

Year:  2009        PMID: 19792402     DOI: 10.1103/PhysRevLett.103.118101

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  4 in total

1.  The frustrated brain: from dynamics on motifs to communities and networks.

Authors:  Leonardo L Gollo; Michael Breakspear
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2014-10-05       Impact factor: 6.237

2.  Effects of growth and mutation on pattern formation in tissues.

Authors:  Benedicte Mengel Pers; Sandeep Krishna; Sagar Chakraborty; Simone Pigolotti; Vedran Sekara; Szabolcs Semsey; Mogens H Jensen
Journal:  PLoS One       Date:  2012-11-07       Impact factor: 3.240

3.  Diversity of meso-scale architecture in human and non-human connectomes.

Authors:  Richard F Betzel; John D Medaglia; Danielle S Bassett
Journal:  Nat Commun       Date:  2018-01-24       Impact factor: 14.919

4.  Evolutionary design of non-frustrated networks of phase-repulsive oscillators.

Authors:  Zoran Levnajić
Journal:  Sci Rep       Date:  2012-12-14       Impact factor: 4.379

  4 in total

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