Phenotypic Heterogeneity in Sugar Utilization by E. coli Is Generated by Stochastic Dispersal of the General PTS Protein EI from Polar Clusters
Although the list of proteins that localize to the bacterial cell poles is constantly growing, little is known about their temporal behavior. EI, a major protein of the phosphotransferase system (PTS) that regulates sugar uptake and metabolism in bacteria, was shown to form clusters at the Escherich...
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doaj-c6b16d3444054fac8c681410c57529ce2020-11-24T20:48:20ZengFrontiers Media S.A.Frontiers in Microbiology1664-302X2018-01-01810.3389/fmicb.2017.02695300594Phenotypic Heterogeneity in Sugar Utilization by E. coli Is Generated by Stochastic Dispersal of the General PTS Protein EI from Polar ClustersSutharsan GovindarajanNitsan AlbocherTamar SzokeAnat Nussbaum-ShochatOrna Amster-ChoderAlthough the list of proteins that localize to the bacterial cell poles is constantly growing, little is known about their temporal behavior. EI, a major protein of the phosphotransferase system (PTS) that regulates sugar uptake and metabolism in bacteria, was shown to form clusters at the Escherichia coli cell poles. We monitored the localization of EI clusters, as well as diffuse molecules, in space and time during the lifetime of E. coli cells. We show that EI distribution and cluster dynamics varies among cells in a population, and that the cluster speed inversely correlates with cluster size. In growing cells, EI is not assembled into clusters in almost 40% of the cells, and the clusters in most remaining cells dynamically relocate within the pole region or between the poles. In non-growing cells, the fraction of cells that contain EI clusters is significantly higher, and dispersal of these clusters is often observed shortly after exiting quiescence. Later, during growth, EI clusters stochastically re-form by assembly of pre-existing dispersed molecules at random time points. Using a fluorescent glucose analog, we found that EI function inversely correlates with clustering and with cluster size. Thus, activity is exerted by dispersed EI molecules, whereas the polar clusters serve as a reservoir of molecules ready to act when needed. Taken together our findings highlight the spatiotemporal distribution of EI as a novel layer of regulation that contributes to the population phenotypic heterogeneity with regard to sugar metabolism, seemingly conferring a survival benefit.http://journal.frontiersin.org/article/10.3389/fmicb.2017.02695/fullbacterial polaritycell polesproteins localizationdynamic localizationPTS systemgeneral PTS proteins |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Sutharsan Govindarajan Nitsan Albocher Tamar Szoke Anat Nussbaum-Shochat Orna Amster-Choder |
spellingShingle |
Sutharsan Govindarajan Nitsan Albocher Tamar Szoke Anat Nussbaum-Shochat Orna Amster-Choder Phenotypic Heterogeneity in Sugar Utilization by E. coli Is Generated by Stochastic Dispersal of the General PTS Protein EI from Polar Clusters Frontiers in Microbiology bacterial polarity cell poles proteins localization dynamic localization PTS system general PTS proteins |
author_facet |
Sutharsan Govindarajan Nitsan Albocher Tamar Szoke Anat Nussbaum-Shochat Orna Amster-Choder |
author_sort |
Sutharsan Govindarajan |
title |
Phenotypic Heterogeneity in Sugar Utilization by E. coli Is Generated by Stochastic Dispersal of the General PTS Protein EI from Polar Clusters |
title_short |
Phenotypic Heterogeneity in Sugar Utilization by E. coli Is Generated by Stochastic Dispersal of the General PTS Protein EI from Polar Clusters |
title_full |
Phenotypic Heterogeneity in Sugar Utilization by E. coli Is Generated by Stochastic Dispersal of the General PTS Protein EI from Polar Clusters |
title_fullStr |
Phenotypic Heterogeneity in Sugar Utilization by E. coli Is Generated by Stochastic Dispersal of the General PTS Protein EI from Polar Clusters |
title_full_unstemmed |
Phenotypic Heterogeneity in Sugar Utilization by E. coli Is Generated by Stochastic Dispersal of the General PTS Protein EI from Polar Clusters |
title_sort |
phenotypic heterogeneity in sugar utilization by e. coli is generated by stochastic dispersal of the general pts protein ei from polar clusters |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Microbiology |
issn |
1664-302X |
publishDate |
2018-01-01 |
description |
Although the list of proteins that localize to the bacterial cell poles is constantly growing, little is known about their temporal behavior. EI, a major protein of the phosphotransferase system (PTS) that regulates sugar uptake and metabolism in bacteria, was shown to form clusters at the Escherichia coli cell poles. We monitored the localization of EI clusters, as well as diffuse molecules, in space and time during the lifetime of E. coli cells. We show that EI distribution and cluster dynamics varies among cells in a population, and that the cluster speed inversely correlates with cluster size. In growing cells, EI is not assembled into clusters in almost 40% of the cells, and the clusters in most remaining cells dynamically relocate within the pole region or between the poles. In non-growing cells, the fraction of cells that contain EI clusters is significantly higher, and dispersal of these clusters is often observed shortly after exiting quiescence. Later, during growth, EI clusters stochastically re-form by assembly of pre-existing dispersed molecules at random time points. Using a fluorescent glucose analog, we found that EI function inversely correlates with clustering and with cluster size. Thus, activity is exerted by dispersed EI molecules, whereas the polar clusters serve as a reservoir of molecules ready to act when needed. Taken together our findings highlight the spatiotemporal distribution of EI as a novel layer of regulation that contributes to the population phenotypic heterogeneity with regard to sugar metabolism, seemingly conferring a survival benefit. |
topic |
bacterial polarity cell poles proteins localization dynamic localization PTS system general PTS proteins |
url |
http://journal.frontiersin.org/article/10.3389/fmicb.2017.02695/full |
work_keys_str_mv |
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1716808095911378944 |