Cargando…
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...
Autores principales: | , , |
---|---|
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 |
_version_ | 1782145372011888640 |
---|---|
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. |
format | Text |
id | pubmed-2174625 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT francoispaul derivingstructurefromevolutionmetazoansegmentation AT hakimvincent derivingstructurefromevolutionmetazoansegmentation AT siggiaericd derivingstructurefromevolutionmetazoansegmentation |