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The Evolution of Robust Development and Homeostasis in Artificial Organisms

Overview of attention for article published in PLoS Computational Biology, March 2008
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Title
The Evolution of Robust Development and Homeostasis in Artificial Organisms
Published in
PLoS Computational Biology, March 2008
DOI 10.1371/journal.pcbi.1000030
Pubmed ID
Authors

David Basanta, Mark Miodownik, Buzz Baum

Abstract

During embryogenesis, multicellular animals are shaped via cell proliferation, cell rearrangement, and apoptosis. At the end of development, tissue architecture is then maintained through balanced rates of cell proliferation and loss. Here, we take an in silico approach to look for generic systems features of morphogenesis in multicellular animals that arise as a consequence of the evolution of development. Using artificial evolution, we evolved cellular automata-based digital organisms that have distinct embryonic and homeostatic phases of development. Although these evolved organisms use a variety of strategies to maintain their form over time, organisms of different types were all found to rapidly recover from environmental damage in the form of wounds. This regenerative response was most robust in an organism with a stratified tissue-like architecture. An evolutionary analysis revealed that evolution itself contributed to the ability of this organism to maintain its form in the face of genetic and environmental perturbation, confirming the results of previous studies. In addition, the exceptional robustness of this organism to surface injury was found to result from an upward flux of cells, driven in part by cell divisions with a stable niche at the tissue base. Given the general nature of the model, our results lead us to suggest that many of the robust systems properties observed in real organisms, including scar-free wound-healing in well-protected embryos and the layered tissue architecture of regenerating epithelial tissues, may be by-products of the evolution of morphogenesis, rather than the direct result of selection.

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Geographical breakdown

Country Count As %
United States 3 3%
Germany 3 3%
Switzerland 2 2%
New Zealand 2 2%
Spain 2 2%
United Kingdom 2 2%
Turkey 1 <1%
Austria 1 <1%
Australia 1 <1%
Other 6 5%
Unknown 91 80%

Demographic breakdown

Readers by professional status Count As %
Researcher 35 31%
Student > Ph. D. Student 20 18%
Professor > Associate Professor 9 8%
Student > Master 9 8%
Student > Bachelor 7 6%
Other 17 15%
Unknown 17 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 39 34%
Computer Science 19 17%
Biochemistry, Genetics and Molecular Biology 13 11%
Physics and Astronomy 7 6%
Engineering 5 4%
Other 10 9%
Unknown 21 18%