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Individuality and slow dynamics in bacterial growth homeostasis

Microbial growth and division are fundamental processes relevant to many areas of life science. Of particular interest are homeostasis mechanisms, which buffer growth and division from accumulating fluctuations over multiple cycles. These mechanisms operate within single cells, possibly extending ov...

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Autores principales: Susman, Lee, Kohram, Maryam, Vashistha, Harsh, Nechleba, Jeffrey T., Salman, Hanna, Brenner, Naama
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6016764/
https://www.ncbi.nlm.nih.gov/pubmed/29871953
http://dx.doi.org/10.1073/pnas.1615526115
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author Susman, Lee
Kohram, Maryam
Vashistha, Harsh
Nechleba, Jeffrey T.
Salman, Hanna
Brenner, Naama
author_facet Susman, Lee
Kohram, Maryam
Vashistha, Harsh
Nechleba, Jeffrey T.
Salman, Hanna
Brenner, Naama
author_sort Susman, Lee
collection PubMed
description Microbial growth and division are fundamental processes relevant to many areas of life science. Of particular interest are homeostasis mechanisms, which buffer growth and division from accumulating fluctuations over multiple cycles. These mechanisms operate within single cells, possibly extending over several division cycles. However, all experimental studies to date have relied on measurements pooled from many distinct cells. Here, we disentangle long-term measured traces of individual cells from one another, revealing subtle differences between temporal and pooled statistics. By analyzing correlations along up to hundreds of generations, we find that the parameter describing effective cell size homeostasis strength varies significantly among cells. At the same time, we find an invariant cell size, which acts as an attractor to all individual traces, albeit with different effective attractive forces. Despite the common attractor, each cell maintains a distinct average size over its finite lifetime with suppressed temporal fluctuations around it, and equilibration to the global average size is surprisingly slow ([Formula: see text] cell cycles). To show a possible source of variable homeostasis strength, we construct a mathematical model relying on intracellular interactions, which integrates measured properties of cell size with those of highly expressed proteins. Effective homeostasis strength is then influenced by interactions and by noise levels and generally varies among cells. A predictable and measurable consequence of variable homeostasis strength appears as distinct oscillatory patterns in cell size and protein content over many generations. We discuss implications of our results to understanding mechanisms controlling division in single cells and their characteristic timescales.
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spelling pubmed-60167642018-06-26 Individuality and slow dynamics in bacterial growth homeostasis Susman, Lee Kohram, Maryam Vashistha, Harsh Nechleba, Jeffrey T. Salman, Hanna Brenner, Naama Proc Natl Acad Sci U S A PNAS Plus Microbial growth and division are fundamental processes relevant to many areas of life science. Of particular interest are homeostasis mechanisms, which buffer growth and division from accumulating fluctuations over multiple cycles. These mechanisms operate within single cells, possibly extending over several division cycles. However, all experimental studies to date have relied on measurements pooled from many distinct cells. Here, we disentangle long-term measured traces of individual cells from one another, revealing subtle differences between temporal and pooled statistics. By analyzing correlations along up to hundreds of generations, we find that the parameter describing effective cell size homeostasis strength varies significantly among cells. At the same time, we find an invariant cell size, which acts as an attractor to all individual traces, albeit with different effective attractive forces. Despite the common attractor, each cell maintains a distinct average size over its finite lifetime with suppressed temporal fluctuations around it, and equilibration to the global average size is surprisingly slow ([Formula: see text] cell cycles). To show a possible source of variable homeostasis strength, we construct a mathematical model relying on intracellular interactions, which integrates measured properties of cell size with those of highly expressed proteins. Effective homeostasis strength is then influenced by interactions and by noise levels and generally varies among cells. A predictable and measurable consequence of variable homeostasis strength appears as distinct oscillatory patterns in cell size and protein content over many generations. We discuss implications of our results to understanding mechanisms controlling division in single cells and their characteristic timescales. National Academy of Sciences 2018-06-19 2018-06-05 /pmc/articles/PMC6016764/ /pubmed/29871953 http://dx.doi.org/10.1073/pnas.1615526115 Text en Copyright © 2018 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/ This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle PNAS Plus
Susman, Lee
Kohram, Maryam
Vashistha, Harsh
Nechleba, Jeffrey T.
Salman, Hanna
Brenner, Naama
Individuality and slow dynamics in bacterial growth homeostasis
title Individuality and slow dynamics in bacterial growth homeostasis
title_full Individuality and slow dynamics in bacterial growth homeostasis
title_fullStr Individuality and slow dynamics in bacterial growth homeostasis
title_full_unstemmed Individuality and slow dynamics in bacterial growth homeostasis
title_short Individuality and slow dynamics in bacterial growth homeostasis
title_sort individuality and slow dynamics in bacterial growth homeostasis
topic PNAS Plus
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6016764/
https://www.ncbi.nlm.nih.gov/pubmed/29871953
http://dx.doi.org/10.1073/pnas.1615526115
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