Cargando…
Memory shapes microbial populations
Correct decision making is fundamental for all living organisms to thrive under environmental changes. The patterns of environmental variation and the quality of available information define the most favourable strategy among multiple options, from randomly adopting a phenotypic state to sensing and...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8513827/ https://www.ncbi.nlm.nih.gov/pubmed/34597291 http://dx.doi.org/10.1371/journal.pcbi.1009431 |
_version_ | 1784583273534455808 |
---|---|
author | Gokhale, Chaitanya S. Giaimo, Stefano Remigi, Philippe |
author_facet | Gokhale, Chaitanya S. Giaimo, Stefano Remigi, Philippe |
author_sort | Gokhale, Chaitanya S. |
collection | PubMed |
description | Correct decision making is fundamental for all living organisms to thrive under environmental changes. The patterns of environmental variation and the quality of available information define the most favourable strategy among multiple options, from randomly adopting a phenotypic state to sensing and reacting to environmental cues. Cellular memory—the ability to track and condition the time to switch to a different phenotypic state—can help withstand environmental fluctuations. How does memory manifest itself in unicellular organisms? We describe the population-wide consequences of phenotypic memory in microbes through a combination of deterministic modelling and stochastic simulations. Moving beyond binary switching models, our work highlights the need to consider a broader range of switching behaviours when describing microbial adaptive strategies. We show that memory in individual cells generates patterns at the population level coherent with overshoots and non-exponential lag times distributions experimentally observed in phenotypically heterogeneous populations. We emphasise the implications of our work in understanding antibiotic tolerance and, in general, bacterial survival under fluctuating environments. |
format | Online Article Text |
id | pubmed-8513827 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-85138272021-10-14 Memory shapes microbial populations Gokhale, Chaitanya S. Giaimo, Stefano Remigi, Philippe PLoS Comput Biol Research Article Correct decision making is fundamental for all living organisms to thrive under environmental changes. The patterns of environmental variation and the quality of available information define the most favourable strategy among multiple options, from randomly adopting a phenotypic state to sensing and reacting to environmental cues. Cellular memory—the ability to track and condition the time to switch to a different phenotypic state—can help withstand environmental fluctuations. How does memory manifest itself in unicellular organisms? We describe the population-wide consequences of phenotypic memory in microbes through a combination of deterministic modelling and stochastic simulations. Moving beyond binary switching models, our work highlights the need to consider a broader range of switching behaviours when describing microbial adaptive strategies. We show that memory in individual cells generates patterns at the population level coherent with overshoots and non-exponential lag times distributions experimentally observed in phenotypically heterogeneous populations. We emphasise the implications of our work in understanding antibiotic tolerance and, in general, bacterial survival under fluctuating environments. Public Library of Science 2021-10-01 /pmc/articles/PMC8513827/ /pubmed/34597291 http://dx.doi.org/10.1371/journal.pcbi.1009431 Text en © 2021 Gokhale et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Gokhale, Chaitanya S. Giaimo, Stefano Remigi, Philippe Memory shapes microbial populations |
title | Memory shapes microbial populations |
title_full | Memory shapes microbial populations |
title_fullStr | Memory shapes microbial populations |
title_full_unstemmed | Memory shapes microbial populations |
title_short | Memory shapes microbial populations |
title_sort | memory shapes microbial populations |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8513827/ https://www.ncbi.nlm.nih.gov/pubmed/34597291 http://dx.doi.org/10.1371/journal.pcbi.1009431 |
work_keys_str_mv | AT gokhalechaitanyas memoryshapesmicrobialpopulations AT giaimostefano memoryshapesmicrobialpopulations AT remigiphilippe memoryshapesmicrobialpopulations |