Projects per year
Abstract
Pattern formation is a key aspect of development. Adult zebrafish exhibit a striking striped pattern generated through the self-organisation of three different chromatophores. Numerous investigations have revealed a multitude of individual cell-cell interactions important for this self-organisation, but it has remained unclear whether these known biological rules were sufficient to explain pattern formation. To test this, we present an individual-based mathematical model incorporating all the important cell-types and known interactions. The model qualitatively and quantitatively reproduces wild type and mutant pigment pattern development. We use it to resolve a number of outstanding biological uncertainties, including the roles of domain growth and the initial iridophore stripe, and to generate hypotheses about the functions of leopard. We conclude that our rule-set is sufficient to recapitulate wild-type and mutant patterns. Our work now leads the way for further in silico exploration of the developmental and evolutionary implications of this pigment patterning system.
Original language | English |
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Article number | e52998 |
Pages (from-to) | 1-62 |
Number of pages | 62 |
Journal | eLife |
Volume | 9 |
DOIs | |
Publication status | Published - 27 Jul 2020 |
Bibliographical note
Publisher Copyright:© Owen et al.
ASJC Scopus subject areas
- General Neuroscience
- General Immunology and Microbiology
- General Biochemistry,Genetics and Molecular Biology
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Dive into the research topics of 'A quantitative modelling approach to zebrafish pigment pattern formation'. Together they form a unique fingerprint.Projects
- 1 Finished
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A Systems Biology Approach to Neural Crest Development
Kelsh, R. (PI) & Schwetlick, H. (CoI)
Biotechnology and Biological Sciences Research Council
17/03/14 → 16/06/17
Project: Research council
Profiles
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Robert Kelsh
- Department of Life Sciences - Deputy Head of Department
- Centre for Networks and Collective Behaviour
- Centre for Mathematical Biology
- Centre for Climate Adaptation & Environment Research (CAER)
- Centre for Bioengineering & Biomedical Technologies (CBio)
Person: Research & Teaching, Affiliate staff