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Bacterial bioluminescence onset and quenching: a dynamical model for a quorum sensing-mediated property
We present an effective dynamical model for the onset of bacterial bioluminescence, one of the most studied quorum sensing-mediated traits. Our model is built upon simple equations that describe the growth of the bacterial colony, the production and accumulation of autoinducer signal molecules, thei...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society Publishing
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5750040/ https://www.ncbi.nlm.nih.gov/pubmed/29308273 http://dx.doi.org/10.1098/rsos.171586 |
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author | Side, Domenico Delle Nassisi, Vincenzo Pennetta, Cecilia Alifano, Pietro Di Salvo, Marco Talà, Adelfia Chechkin, Aleksei Seno, Flavio Trovato, Antonio |
author_facet | Side, Domenico Delle Nassisi, Vincenzo Pennetta, Cecilia Alifano, Pietro Di Salvo, Marco Talà, Adelfia Chechkin, Aleksei Seno, Flavio Trovato, Antonio |
author_sort | Side, Domenico Delle |
collection | PubMed |
description | We present an effective dynamical model for the onset of bacterial bioluminescence, one of the most studied quorum sensing-mediated traits. Our model is built upon simple equations that describe the growth of the bacterial colony, the production and accumulation of autoinducer signal molecules, their sensing within bacterial cells, and the ensuing quorum activation mechanism that triggers bioluminescent emission. The model is directly tested to quantitatively reproduce the experimental distributions of photon emission times, previously measured for bacterial colonies of Vibrio jasicida, a luminescent bacterium belonging to the Harveyi clade, growing in a highly drying environment. A distinctive and novel feature of the proposed model is bioluminescence ‘quenching’ after a given time elapsed from activation. Using an advanced fitting procedure based on the simulated annealing algorithm, we are able to infer from the experimental observations the biochemical parameters used in the model. Such parameters are in good agreement with the literature data. As a further result, we find that, at least in our experimental conditions, light emission in bioluminescent bacteria appears to originate from a subtle balance between colony growth and quorum activation due to autoinducers diffusion, with the two phenomena occurring on the same time scale. This finding is consistent with a negative feedback mechanism previously reported for Vibrio harveyi. |
format | Online Article Text |
id | pubmed-5750040 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | The Royal Society Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-57500402018-01-07 Bacterial bioluminescence onset and quenching: a dynamical model for a quorum sensing-mediated property Side, Domenico Delle Nassisi, Vincenzo Pennetta, Cecilia Alifano, Pietro Di Salvo, Marco Talà, Adelfia Chechkin, Aleksei Seno, Flavio Trovato, Antonio R Soc Open Sci Biochemistry and Biophysics We present an effective dynamical model for the onset of bacterial bioluminescence, one of the most studied quorum sensing-mediated traits. Our model is built upon simple equations that describe the growth of the bacterial colony, the production and accumulation of autoinducer signal molecules, their sensing within bacterial cells, and the ensuing quorum activation mechanism that triggers bioluminescent emission. The model is directly tested to quantitatively reproduce the experimental distributions of photon emission times, previously measured for bacterial colonies of Vibrio jasicida, a luminescent bacterium belonging to the Harveyi clade, growing in a highly drying environment. A distinctive and novel feature of the proposed model is bioluminescence ‘quenching’ after a given time elapsed from activation. Using an advanced fitting procedure based on the simulated annealing algorithm, we are able to infer from the experimental observations the biochemical parameters used in the model. Such parameters are in good agreement with the literature data. As a further result, we find that, at least in our experimental conditions, light emission in bioluminescent bacteria appears to originate from a subtle balance between colony growth and quorum activation due to autoinducers diffusion, with the two phenomena occurring on the same time scale. This finding is consistent with a negative feedback mechanism previously reported for Vibrio harveyi. The Royal Society Publishing 2017-12-13 /pmc/articles/PMC5750040/ /pubmed/29308273 http://dx.doi.org/10.1098/rsos.171586 Text en © 2017 The Authors. http://creativecommons.org/licenses/by/4.0/ Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited. |
spellingShingle | Biochemistry and Biophysics Side, Domenico Delle Nassisi, Vincenzo Pennetta, Cecilia Alifano, Pietro Di Salvo, Marco Talà, Adelfia Chechkin, Aleksei Seno, Flavio Trovato, Antonio Bacterial bioluminescence onset and quenching: a dynamical model for a quorum sensing-mediated property |
title | Bacterial bioluminescence onset and quenching: a dynamical model for a quorum sensing-mediated property |
title_full | Bacterial bioluminescence onset and quenching: a dynamical model for a quorum sensing-mediated property |
title_fullStr | Bacterial bioluminescence onset and quenching: a dynamical model for a quorum sensing-mediated property |
title_full_unstemmed | Bacterial bioluminescence onset and quenching: a dynamical model for a quorum sensing-mediated property |
title_short | Bacterial bioluminescence onset and quenching: a dynamical model for a quorum sensing-mediated property |
title_sort | bacterial bioluminescence onset and quenching: a dynamical model for a quorum sensing-mediated property |
topic | Biochemistry and Biophysics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5750040/ https://www.ncbi.nlm.nih.gov/pubmed/29308273 http://dx.doi.org/10.1098/rsos.171586 |
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