The sensitivity of Turing self-organization to biological feedback delays: 2D models of fish pigmentation

Handle URI:
http://hdl.handle.net/10754/599961
Title:
The sensitivity of Turing self-organization to biological feedback delays: 2D models of fish pigmentation
Authors:
Gaffney, E. A.; Lee, S. S.
Abstract:
© The authors 2013. Turing morphogen models have been extensively explored in the context of large-scale self-organization in multicellular biological systems. However, reconciling the detailed biology of morphogen dynamics, while accounting for time delays associated with gene expression, reveals aberrant behaviours that are not consistent with early developmental self-organization, especially the requirement for exquisite temporal control. Attempts to reconcile the interpretation of Turing's ideas with an increasing understanding of the mechanisms driving zebrafish pigmentation suggests that one should reconsider Turing's model in terms of pigment cells rather than morphogens (Nakamasu et al., 2009, PNAS, 106, 8429-8434; Yamaguchi et al., 2007, PNAS, 104, 4790-4793). Here the dynamics of pigment cells is subject to response delays implicit in the cell cycle and apoptosis. Hence we explore simulations of fish skin patterning, focussing on the dynamical influence of gene expression delays in morphogen-based Turing models and response delays for cell-based Turing models. We find that reconciling the mechanisms driving the behaviour of Turing systems with observations of fish skin patterning remains a fundamental challenge.
Citation:
Gaffney EA, Lee SS (2013) The sensitivity of Turing self-organization to biological feedback delays: 2D models of fish pigmentation. Mathematical Medicine and Biology 32: 57–79. Available: http://dx.doi.org/10.1093/imammb/dqt017.
Publisher:
Oxford University Press (OUP)
Journal:
Mathematical Medicine and Biology
KAUST Grant Number:
KUK-C1-013-04
Issue Date:
1-Oct-2013
DOI:
10.1093/imammb/dqt017
PubMed ID:
24087834
Type:
Article
ISSN:
1477-8599; 1477-8602
Sponsors:
This publication is based on work supported in part by Award No. KUK-C1-013-04, made by King Abdullah University of Science and Technology (KAUST) and Grant-in-Aid for JSPS Young Research Fellow from The Japan Society for The Promotion of Science (JSPS).
Appears in Collections:
Publications Acknowledging KAUST Support

Full metadata record

DC FieldValue Language
dc.contributor.authorGaffney, E. A.en
dc.contributor.authorLee, S. S.en
dc.date.accessioned2016-02-28T06:33:19Zen
dc.date.available2016-02-28T06:33:19Zen
dc.date.issued2013-10-01en
dc.identifier.citationGaffney EA, Lee SS (2013) The sensitivity of Turing self-organization to biological feedback delays: 2D models of fish pigmentation. Mathematical Medicine and Biology 32: 57–79. Available: http://dx.doi.org/10.1093/imammb/dqt017.en
dc.identifier.issn1477-8599en
dc.identifier.issn1477-8602en
dc.identifier.pmid24087834en
dc.identifier.doi10.1093/imammb/dqt017en
dc.identifier.urihttp://hdl.handle.net/10754/599961en
dc.description.abstract© The authors 2013. Turing morphogen models have been extensively explored in the context of large-scale self-organization in multicellular biological systems. However, reconciling the detailed biology of morphogen dynamics, while accounting for time delays associated with gene expression, reveals aberrant behaviours that are not consistent with early developmental self-organization, especially the requirement for exquisite temporal control. Attempts to reconcile the interpretation of Turing's ideas with an increasing understanding of the mechanisms driving zebrafish pigmentation suggests that one should reconsider Turing's model in terms of pigment cells rather than morphogens (Nakamasu et al., 2009, PNAS, 106, 8429-8434; Yamaguchi et al., 2007, PNAS, 104, 4790-4793). Here the dynamics of pigment cells is subject to response delays implicit in the cell cycle and apoptosis. Hence we explore simulations of fish skin patterning, focussing on the dynamical influence of gene expression delays in morphogen-based Turing models and response delays for cell-based Turing models. We find that reconciling the mechanisms driving the behaviour of Turing systems with observations of fish skin patterning remains a fundamental challenge.en
dc.description.sponsorshipThis publication is based on work supported in part by Award No. KUK-C1-013-04, made by King Abdullah University of Science and Technology (KAUST) and Grant-in-Aid for JSPS Young Research Fellow from The Japan Society for The Promotion of Science (JSPS).en
dc.publisherOxford University Press (OUP)en
dc.subjectBiological feedback delaysen
dc.subjectFish skin patternsen
dc.subjectTuring pattern formationen
dc.titleThe sensitivity of Turing self-organization to biological feedback delays: 2D models of fish pigmentationen
dc.typeArticleen
dc.identifier.journalMathematical Medicine and Biologyen
dc.contributor.institutionUniversity of Oxford, Oxford, United Kingdomen
dc.contributor.institutionRiken, Wako, Japanen
dc.contributor.institutionHiroshima University, Higashihiroshima, Japanen
kaust.grant.numberKUK-C1-013-04en

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