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Deriving structure from evolution: metazoan segmentation

Segmentation is a common feature of disparate clades of metazoans, and its evolution is a central problem of evolutionary developmental biology. We evolved in silico regulatory networks by a mutation/selection process that just rewards the number of segment boundaries. For segmentation controlled by...

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Detalles Bibliográficos
Autores principales: François, Paul, Hakim, Vincent, Siggia, Eric D
Formato: Texto
Lenguaje:English
Publicado: Nature Publishing Group 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2174625/
https://www.ncbi.nlm.nih.gov/pubmed/18091725
http://dx.doi.org/10.1038/msb4100192
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author François, Paul
Hakim, Vincent
Siggia, Eric D
author_facet François, Paul
Hakim, Vincent
Siggia, Eric D
author_sort François, Paul
collection PubMed
description Segmentation is a common feature of disparate clades of metazoans, and its evolution is a central problem of evolutionary developmental biology. We evolved in silico regulatory networks by a mutation/selection process that just rewards the number of segment boundaries. For segmentation controlled by a static gradient, as in long-germ band insects, a cascade of adjacent repressors reminiscent of gap genes evolves. For sequential segmentation controlled by a moving gradient, similar to vertebrate somitogenesis, we invariably observe a very constrained evolutionary path or funnel. The evolved state is a cell autonomous ‘clock and wavefront' model, with the new attribute of a separate bistable system driven by an autonomous clock. Early stages in the evolution of both modes of segmentation are functionally similar, and simulations suggest a possible path for their interconversion. Our computation illustrates how complex traits can evolve by the incremental addition of new functions on top of pre-existing traits.
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spelling pubmed-21746252008-01-04 Deriving structure from evolution: metazoan segmentation François, Paul Hakim, Vincent Siggia, Eric D Mol Syst Biol Article Segmentation is a common feature of disparate clades of metazoans, and its evolution is a central problem of evolutionary developmental biology. We evolved in silico regulatory networks by a mutation/selection process that just rewards the number of segment boundaries. For segmentation controlled by a static gradient, as in long-germ band insects, a cascade of adjacent repressors reminiscent of gap genes evolves. For sequential segmentation controlled by a moving gradient, similar to vertebrate somitogenesis, we invariably observe a very constrained evolutionary path or funnel. The evolved state is a cell autonomous ‘clock and wavefront' model, with the new attribute of a separate bistable system driven by an autonomous clock. Early stages in the evolution of both modes of segmentation are functionally similar, and simulations suggest a possible path for their interconversion. Our computation illustrates how complex traits can evolve by the incremental addition of new functions on top of pre-existing traits. Nature Publishing Group 2007-12-18 /pmc/articles/PMC2174625/ /pubmed/18091725 http://dx.doi.org/10.1038/msb4100192 Text en Copyright © 2007, EMBO and Nature Publishing Group http://creativecommons.org/licenses/by-nc-sa/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution Licence, which permits distribution and reproduction in any medium, provided the original author and source are credited. Creation of derivative works is permitted but the resulting work may be distributed only under the same or similar licence to this one. This licence does not permit commercial exploitation without specific permission.
spellingShingle Article
François, Paul
Hakim, Vincent
Siggia, Eric D
Deriving structure from evolution: metazoan segmentation
title Deriving structure from evolution: metazoan segmentation
title_full Deriving structure from evolution: metazoan segmentation
title_fullStr Deriving structure from evolution: metazoan segmentation
title_full_unstemmed Deriving structure from evolution: metazoan segmentation
title_short Deriving structure from evolution: metazoan segmentation
title_sort deriving structure from evolution: metazoan segmentation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2174625/
https://www.ncbi.nlm.nih.gov/pubmed/18091725
http://dx.doi.org/10.1038/msb4100192
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