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Emergent multicellular life cycles in filamentous bacteria owing to density-dependent population dynamics

Filamentous bacteria are the oldest and simplest known multicellular life forms. By using computer simulations and experiments that address cell division in a filamentous context, we investigate some of the ecological factors that can lead to the emergence of a multicellular life cycle in filamentou...

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Autores principales: Rossetti, Valentina, Filippini, Manuela, Svercel, Miroslav, Barbour, A. D., Bagheri, Homayoun C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3203479/
https://www.ncbi.nlm.nih.gov/pubmed/21593029
http://dx.doi.org/10.1098/rsif.2011.0102
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author Rossetti, Valentina
Filippini, Manuela
Svercel, Miroslav
Barbour, A. D.
Bagheri, Homayoun C.
author_facet Rossetti, Valentina
Filippini, Manuela
Svercel, Miroslav
Barbour, A. D.
Bagheri, Homayoun C.
author_sort Rossetti, Valentina
collection PubMed
description Filamentous bacteria are the oldest and simplest known multicellular life forms. By using computer simulations and experiments that address cell division in a filamentous context, we investigate some of the ecological factors that can lead to the emergence of a multicellular life cycle in filamentous life forms. The model predicts that if cell division and death rates are dependent on the density of cells in a population, a predictable cycle between short and long filament lengths is produced. During exponential growth, there will be a predominance of multicellular filaments, while at carrying capacity, the population converges to a predominance of short filaments and single cells. Model predictions are experimentally tested and confirmed in cultures of heterotrophic and phototrophic bacterial species. Furthermore, by developing a formulation of generation time in bacterial populations, it is shown that changes in generation time can alter length distributions. The theory predicts that given the same population growth curve and fitness, species with longer generation times have longer filaments during comparable population growth phases. Characterization of the environmental dependence of morphological properties such as length, and the number of cells per filament, helps in understanding the pre-existing conditions for the evolution of developmental cycles in simple multicellular organisms. Moreover, the theoretical prediction that strains with the same fitness can exhibit different lengths at comparable growth phases has important implications. It demonstrates that differences in fitness attributed to morphology are not the sole explanation for the evolution of life cycles dominated by multicellularity.
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spelling pubmed-32034792011-11-10 Emergent multicellular life cycles in filamentous bacteria owing to density-dependent population dynamics Rossetti, Valentina Filippini, Manuela Svercel, Miroslav Barbour, A. D. Bagheri, Homayoun C. J R Soc Interface Research Articles Filamentous bacteria are the oldest and simplest known multicellular life forms. By using computer simulations and experiments that address cell division in a filamentous context, we investigate some of the ecological factors that can lead to the emergence of a multicellular life cycle in filamentous life forms. The model predicts that if cell division and death rates are dependent on the density of cells in a population, a predictable cycle between short and long filament lengths is produced. During exponential growth, there will be a predominance of multicellular filaments, while at carrying capacity, the population converges to a predominance of short filaments and single cells. Model predictions are experimentally tested and confirmed in cultures of heterotrophic and phototrophic bacterial species. Furthermore, by developing a formulation of generation time in bacterial populations, it is shown that changes in generation time can alter length distributions. The theory predicts that given the same population growth curve and fitness, species with longer generation times have longer filaments during comparable population growth phases. Characterization of the environmental dependence of morphological properties such as length, and the number of cells per filament, helps in understanding the pre-existing conditions for the evolution of developmental cycles in simple multicellular organisms. Moreover, the theoretical prediction that strains with the same fitness can exhibit different lengths at comparable growth phases has important implications. It demonstrates that differences in fitness attributed to morphology are not the sole explanation for the evolution of life cycles dominated by multicellularity. The Royal Society 2011-12-07 2011-05-18 /pmc/articles/PMC3203479/ /pubmed/21593029 http://dx.doi.org/10.1098/rsif.2011.0102 Text en This journal is © 2011 The Royal Society http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Rossetti, Valentina
Filippini, Manuela
Svercel, Miroslav
Barbour, A. D.
Bagheri, Homayoun C.
Emergent multicellular life cycles in filamentous bacteria owing to density-dependent population dynamics
title Emergent multicellular life cycles in filamentous bacteria owing to density-dependent population dynamics
title_full Emergent multicellular life cycles in filamentous bacteria owing to density-dependent population dynamics
title_fullStr Emergent multicellular life cycles in filamentous bacteria owing to density-dependent population dynamics
title_full_unstemmed Emergent multicellular life cycles in filamentous bacteria owing to density-dependent population dynamics
title_short Emergent multicellular life cycles in filamentous bacteria owing to density-dependent population dynamics
title_sort emergent multicellular life cycles in filamentous bacteria owing to density-dependent population dynamics
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3203479/
https://www.ncbi.nlm.nih.gov/pubmed/21593029
http://dx.doi.org/10.1098/rsif.2011.0102
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