Literature DB >> 20309645

The influence of gene expression time delays on Gierer-Meinhardt pattern formation systems.

S Seirin Lee1, E A Gaffney, N A M Monk.   

Abstract

There are numerous examples of morphogen gradients controlling long range signalling in developmental and cellular systems. The prospect of two such interacting morphogens instigating long range self-organisation in biological systems via a Turing bifurcation has been explored, postulated, or implicated in the context of numerous developmental processes. However, modelling investigations of cellular systems typically neglect the influence of gene expression on such dynamics, even though transcription and translation are observed to be important in morphogenetic systems. In particular, the influence of gene expression on a large class of Turing bifurcation models, namely those with pure kinetics such as the Gierer-Meinhardt system, is unexplored. Our investigations demonstrate that the behaviour of the Gierer-Meinhardt model profoundly changes on the inclusion of gene expression dynamics and is sensitive to the sub-cellular details of gene expression. Features such as concentration blow up, morphogen oscillations and radical sensitivities to the duration of gene expression are observed and, at best, severely restrict the possible parameter spaces for feasible biological behaviour. These results also indicate that the behaviour of Turing pattern formation systems on the inclusion of gene expression time delays may provide a means of distinguishing between possible forms of interaction kinetics. Finally, this study also emphasises that sub-cellular and gene expression dynamics should not be simply neglected in models of long range biological pattern formation via morphogens.

Mesh:

Year:  2010        PMID: 20309645     DOI: 10.1007/s11538-010-9532-5

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  8 in total

1.  Towards an integrated experimental-theoretical approach for assessing the mechanistic basis of hair and feather morphogenesis.

Authors:  K J Painter; G S Hunt; K L Wells; J A Johansson; D J Headon
Journal:  Interface Focus       Date:  2012-02-15       Impact factor: 3.906

2.  Turing's model for biological pattern formation and the robustness problem.

Authors:  Philip K Maini; Thomas E Woolley; Ruth E Baker; Eamonn A Gaffney; S Seirin Lee
Journal:  Interface Focus       Date:  2012-02-08       Impact factor: 3.906

3.  Turing's theory of morphogenesis of 1952 and the subsequent discovery of the crucial role of local self-enhancement and long-range inhibition.

Authors:  Hans Meinhardt
Journal:  Interface Focus       Date:  2012-02-08       Impact factor: 3.906

4.  History dependence and the continuum approximation breakdown: the impact of domain growth on Turing's instability.

Authors:  Václav Klika; Eamonn A Gaffney
Journal:  Proc Math Phys Eng Sci       Date:  2017-03-15       Impact factor: 2.704

5.  Stochastic Turing patterns in a synthetic bacterial population.

Authors:  David Karig; K Michael Martini; Ting Lu; Nicholas A DeLateur; Nigel Goldenfeld; Ron Weiss
Journal:  Proc Natl Acad Sci U S A       Date:  2018-06-11       Impact factor: 11.205

Review 6.  Modelling from the experimental developmental biologists viewpoint.

Authors:  Andrew D Economou; Jeremy B A Green
Journal:  Semin Cell Dev Biol       Date:  2014-07-12       Impact factor: 7.727

7.  Meristem size contributes to the robustness of phyllotaxis in Arabidopsis.

Authors:  Benoit Landrein; Yassin Refahi; Fabrice Besnard; Nathan Hervieux; Vincent Mirabet; Arezki Boudaoud; Teva Vernoux; Olivier Hamant
Journal:  J Exp Bot       Date:  2014-12-11       Impact factor: 6.992

8.  Fixed and Distributed Gene Expression Time Delays in Reaction-Diffusion Systems.

Authors:  Alec Sargood; Eamonn A Gaffney; Andrew L Krause
Journal:  Bull Math Biol       Date:  2022-08-07       Impact factor: 3.871

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.