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De Novo Evolution of Complex, Global and Hierarchical Gene Regulatory Mechanisms
Gene regulatory networks exhibit complex, hierarchical features such as global regulation and network motifs. There is much debate about whether the evolutionary origins of such features are the results of adaptation, or the by-products of non-adaptive processes of DNA replication. The lack of avail...
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Formato: | Texto |
Lenguaje: | English |
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Springer-Verlag
2010
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2924499/ https://www.ncbi.nlm.nih.gov/pubmed/20680619 http://dx.doi.org/10.1007/s00239-010-9369-4 |
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author | Jenkins, Dafyd J. Stekel, Dov J. |
author_facet | Jenkins, Dafyd J. Stekel, Dov J. |
author_sort | Jenkins, Dafyd J. |
collection | PubMed |
description | Gene regulatory networks exhibit complex, hierarchical features such as global regulation and network motifs. There is much debate about whether the evolutionary origins of such features are the results of adaptation, or the by-products of non-adaptive processes of DNA replication. The lack of availability of gene regulatory networks of ancestor species on evolutionary timescales makes this a particularly difficult problem to resolve. Digital organisms, however, can be used to provide a complete evolutionary record of lineages. We use a biologically realistic evolutionary model that includes gene expression, regulation, metabolism and biosynthesis, to investigate the evolution of complex function in gene regulatory networks. We discover that: (i) network architecture and complexity evolve in response to environmental complexity, (ii) global gene regulation is selected for in complex environments, (iii) complex, inter-connected, hierarchical structures evolve in stages, with energy regulation preceding stress responses, and stress responses preceding growth rate adaptations and (iv) robustness of evolved models to mutations depends on hierarchical level: energy regulation and stress responses tend not to be robust to mutations, whereas growth rate adaptations are more robust and non-lethal when mutated. These results highlight the adaptive and incremental evolution of complex biological networks, and the value and potential of studying realistic in silico evolutionary systems as a way of understanding living systems. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00239-010-9369-4) contains supplementary material, which is available to authorized users. |
format | Text |
id | pubmed-2924499 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Springer-Verlag |
record_format | MEDLINE/PubMed |
spelling | pubmed-29244992010-09-10 De Novo Evolution of Complex, Global and Hierarchical Gene Regulatory Mechanisms Jenkins, Dafyd J. Stekel, Dov J. J Mol Evol Article Gene regulatory networks exhibit complex, hierarchical features such as global regulation and network motifs. There is much debate about whether the evolutionary origins of such features are the results of adaptation, or the by-products of non-adaptive processes of DNA replication. The lack of availability of gene regulatory networks of ancestor species on evolutionary timescales makes this a particularly difficult problem to resolve. Digital organisms, however, can be used to provide a complete evolutionary record of lineages. We use a biologically realistic evolutionary model that includes gene expression, regulation, metabolism and biosynthesis, to investigate the evolution of complex function in gene regulatory networks. We discover that: (i) network architecture and complexity evolve in response to environmental complexity, (ii) global gene regulation is selected for in complex environments, (iii) complex, inter-connected, hierarchical structures evolve in stages, with energy regulation preceding stress responses, and stress responses preceding growth rate adaptations and (iv) robustness of evolved models to mutations depends on hierarchical level: energy regulation and stress responses tend not to be robust to mutations, whereas growth rate adaptations are more robust and non-lethal when mutated. These results highlight the adaptive and incremental evolution of complex biological networks, and the value and potential of studying realistic in silico evolutionary systems as a way of understanding living systems. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00239-010-9369-4) contains supplementary material, which is available to authorized users. Springer-Verlag 2010-08-03 2010 /pmc/articles/PMC2924499/ /pubmed/20680619 http://dx.doi.org/10.1007/s00239-010-9369-4 Text en © The Author(s) 2010 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited. |
spellingShingle | Article Jenkins, Dafyd J. Stekel, Dov J. De Novo Evolution of Complex, Global and Hierarchical Gene Regulatory Mechanisms |
title | De Novo Evolution of Complex, Global and Hierarchical Gene Regulatory Mechanisms |
title_full | De Novo Evolution of Complex, Global and Hierarchical Gene Regulatory Mechanisms |
title_fullStr | De Novo Evolution of Complex, Global and Hierarchical Gene Regulatory Mechanisms |
title_full_unstemmed | De Novo Evolution of Complex, Global and Hierarchical Gene Regulatory Mechanisms |
title_short | De Novo Evolution of Complex, Global and Hierarchical Gene Regulatory Mechanisms |
title_sort | de novo evolution of complex, global and hierarchical gene regulatory mechanisms |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2924499/ https://www.ncbi.nlm.nih.gov/pubmed/20680619 http://dx.doi.org/10.1007/s00239-010-9369-4 |
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