Space-induced bifurcation in repression-based transcriptional circuits
Authored by Van Amanda Lo, Hedi A Soula, Hugues Berry
Date Published: 2014
DOI: 10.1186/s12918-014-0125-z
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C
Model Documentation:
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Mathematical description
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Abstract
Background: Albeit the molecular mechanisms of gene expression are well
documented, our understanding of their dynamics is much less advanced.
Recent experimental evidence has revealed that gene expression might be
accurately organized in space, with several molecular actors localized
to specific positions in the cell. However, the influence of this
spatial localization on the dynamics of gene expression is unclear. This
issue is also central in synthetic biology, where one usually considers
the spatial localization in the cell of the genes of the inserted
synthetic construct as irrelevant for its temporal dynamics.
Results: Here, we assessed the influence of the spatial distribution of
the genes on the dynamics of 3-gene transcriptional ring networks
regulated by repression, i.e. repressilator circuits, using
individual-based modelling to simulate their dynamics in two and three
space dimensions. Our simulations suggest that variations of spatial
parameters - namely the degree of demixing of the positions of the gene
or the spatial range of the mRNA and proteins (i.e. the typical distance
they travel before degradation) - have dramatic effects by switching the
dynamical regime from spontaneous oscillations to a stationary state
where each species fluctuates around a constant value. By analogy with
the bifurcations arising from the variation of kinetic parameters, we
referred to those transitions as space-induced bifurcations.
Conclusions: Taken together, our results strongly support the idea that
the spatial organization of the molecular actors of transcriptional
networks is crucial for the dynamics of gene expression and suggest that
the spatial localization of the synthetic genes in the cell could be
used as an additional toggle to control the dynamics of the inserted
construct in synthetic biology experiments.
Tags
networks
diffusion
kinetics
Gene-expression
Escherichia-coli
Cell
Protein
Spatial-organization
Ligand-binding
Cytoplasm