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Evolution of multicellularity by collective integration of spatial information
At the origin of multicellularity, cells may have evolved aggregation in response to predation, for functional specialisation or to allow large-scale integration of environmental cues. These group-level properties emerged from the interactions between cells in a group, and determined the selection p...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7652420/ https://www.ncbi.nlm.nih.gov/pubmed/33064078 http://dx.doi.org/10.7554/eLife.56349 |
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author | Colizzi, Enrico Sandro Vroomans, Renske MA Merks, Roeland MH |
author_facet | Colizzi, Enrico Sandro Vroomans, Renske MA Merks, Roeland MH |
author_sort | Colizzi, Enrico Sandro |
collection | PubMed |
description | At the origin of multicellularity, cells may have evolved aggregation in response to predation, for functional specialisation or to allow large-scale integration of environmental cues. These group-level properties emerged from the interactions between cells in a group, and determined the selection pressures experienced by these cells. We investigate the evolution of multicellularity with an evolutionary model where cells search for resources by chemotaxis in a shallow, noisy gradient. Cells can evolve their adhesion to others in a periodically changing environment, where a cell’s fitness solely depends on its distance from the gradient source. We show that multicellular aggregates evolve because they perform chemotaxis more efficiently than single cells. Only when the environment changes too frequently, a unicellular state evolves which relies on cell dispersal. Both strategies prevent the invasion of the other through interference competition, creating evolutionary bi-stability. Therefore, collective behaviour can be an emergent selective driver for undifferentiated multicellularity. |
format | Online Article Text |
id | pubmed-7652420 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-76524202020-11-12 Evolution of multicellularity by collective integration of spatial information Colizzi, Enrico Sandro Vroomans, Renske MA Merks, Roeland MH eLife Computational and Systems Biology At the origin of multicellularity, cells may have evolved aggregation in response to predation, for functional specialisation or to allow large-scale integration of environmental cues. These group-level properties emerged from the interactions between cells in a group, and determined the selection pressures experienced by these cells. We investigate the evolution of multicellularity with an evolutionary model where cells search for resources by chemotaxis in a shallow, noisy gradient. Cells can evolve their adhesion to others in a periodically changing environment, where a cell’s fitness solely depends on its distance from the gradient source. We show that multicellular aggregates evolve because they perform chemotaxis more efficiently than single cells. Only when the environment changes too frequently, a unicellular state evolves which relies on cell dispersal. Both strategies prevent the invasion of the other through interference competition, creating evolutionary bi-stability. Therefore, collective behaviour can be an emergent selective driver for undifferentiated multicellularity. eLife Sciences Publications, Ltd 2020-10-16 /pmc/articles/PMC7652420/ /pubmed/33064078 http://dx.doi.org/10.7554/eLife.56349 Text en © 2020, Colizzi et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Computational and Systems Biology Colizzi, Enrico Sandro Vroomans, Renske MA Merks, Roeland MH Evolution of multicellularity by collective integration of spatial information |
title | Evolution of multicellularity by collective integration of spatial information |
title_full | Evolution of multicellularity by collective integration of spatial information |
title_fullStr | Evolution of multicellularity by collective integration of spatial information |
title_full_unstemmed | Evolution of multicellularity by collective integration of spatial information |
title_short | Evolution of multicellularity by collective integration of spatial information |
title_sort | evolution of multicellularity by collective integration of spatial information |
topic | Computational and Systems Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7652420/ https://www.ncbi.nlm.nih.gov/pubmed/33064078 http://dx.doi.org/10.7554/eLife.56349 |
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