Testing Turing’s theory of morphogenesis in chemical cells
Identifieur interne : 000F65 ( Main/Exploration ); précédent : 000F64; suivant : 000F66Testing Turing’s theory of morphogenesis in chemical cells
Auteurs : Nathan Tompkins ; Ning Li ; Camille Girabawe ; Michael Heymann ; G. Bard Ermentrout ; Irving R. Epstein ; Seth FradenSource :
- Proceedings of the National Academy of Sciences of the United States of America [ 0027-8424 ] ; 2014.
Abstract
Turing proposed that intercellular reaction-diffusion of molecules is responsible for morphogenesis. The impact of this paradigm has been profound. We exploit an abiological experimental system of emulsion drops containing the Belousov–Zhabotinsky reactants ideally suited to test Turing’s theory. Our experiments verify Turing’s thesis of the chemical basis of morphogenesis and reveal a pattern, not previously predicted by theory, which we explain by extending Turing’s model to include heterogeneity. Quantitative experimental results obtained using this artificial cellular system establish the strengths and weaknesses of the Turing model, applicable to biology and materials science alike, and pinpoint which directions are required for improvement.
Url:
DOI: 10.1073/pnas.1322005111
PubMed: 24616508
PubMed Central: 3970514
Affiliations:
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<front><div type="abstract" xml:lang="en"><title>Significance</title>
<p>Turing proposed that intercellular reaction-diffusion of molecules is responsible for morphogenesis. The impact of this paradigm has been profound. We exploit an abiological experimental system of emulsion drops containing the Belousov–Zhabotinsky reactants ideally suited to test Turing’s theory. Our experiments verify Turing’s thesis of the chemical basis of morphogenesis and reveal a pattern, not previously predicted by theory, which we explain by extending Turing’s model to include heterogeneity. Quantitative experimental results obtained using this artificial cellular system establish the strengths and weaknesses of the Turing model, applicable to biology and materials science alike, and pinpoint which directions are required for improvement.</p>
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<name sortKey="Fraden, Seth" sort="Fraden, Seth" uniqKey="Fraden S" first="Seth" last="Fraden">Seth Fraden</name>
<name sortKey="Girabawe, Camille" sort="Girabawe, Camille" uniqKey="Girabawe C" first="Camille" last="Girabawe">Camille Girabawe</name>
<name sortKey="Heymann, Michael" sort="Heymann, Michael" uniqKey="Heymann M" first="Michael" last="Heymann">Michael Heymann</name>
<name sortKey="Li, Ning" sort="Li, Ning" uniqKey="Li N" first="Ning" last="Li">Ning Li</name>
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