Literature DB >> 31288652

Metabolic activity affects the response of single cells to a nutrient switch in structured populations.

Alma Dal Co1,2, Martin Ackermann1,2, Simon van Vliet1,2,3.   

Abstract

Microbes live in ever-changing environments where they need to adapt their metabolism to different nutrient conditions. Many studies have characterized the response of genetically identical cells to nutrient switches in homogeneous cultures; however, in nature, microbes often live in spatially structured groups such as biofilms where cells can create metabolic gradients by consuming and releasing nutrients. Consequently, cells experience different local microenvironments and vary in their phenotype. How does this phenotypic variation affect the ability of cells to cope with nutrient switches? Here, we address this question by growing dense populations of Escherichia coli in microfluidic chambers and studying a switch from glucose to acetate at the single-cell level. Before the switch, cells vary in their metabolic activity: some grow on glucose, while others cross-feed on acetate. After the switch, only few cells can resume growth after a period of lag. The probability to resume growth depends on a cells' phenotype prior to the switch: it is highest for cells cross-feeding on acetate, while it depends in a non-monotonic way on the growth rate for cells growing on glucose. Our results suggest that the strong phenotypic variation in spatially structured populations might enhance their ability to cope with fluctuating environments.

Entities:  

Keywords:  bacterial biofilms; emergent metabolic gradients; gluconeogenic nutrient switch; lag time; phenotypic variation in clonal populations; spatially structured populations

Mesh:

Substances:

Year:  2019        PMID: 31288652      PMCID: PMC6685030          DOI: 10.1098/rsif.2019.0182

Source DB:  PubMed          Journal:  J R Soc Interface        ISSN: 1742-5662            Impact factor:   4.118


  43 in total

1.  Metabolic activity affects the response of single cells to a nutrient switch in structured populations.

Authors:  Alma Dal Co; Martin Ackermann; Simon van Vliet
Journal:  J R Soc Interface       Date:  2019-07-10       Impact factor: 4.118

Review 2.  Bacteria and archaea on Earth and their abundance in biofilms.

Authors:  Hans-Curt Flemming; Stefan Wuertz
Journal:  Nat Rev Microbiol       Date:  2019-04       Impact factor: 60.633

3.  A Bacterial Growth Law out of Steady State.

Authors:  Yael Korem Kohanim; Dikla Levi; Ghil Jona; Benjamin D Towbin; Anat Bren; Uri Alon
Journal:  Cell Rep       Date:  2018-06-05       Impact factor: 9.423

4.  Metabolism in dense microbial colonies: 13C metabolic flux analysis of E. coli grown on agar identifies two distinct cell populations with acetate cross-feeding.

Authors:  Eric Wolfsberg; Christopher P Long; Maciek R Antoniewicz
Journal:  Metab Eng       Date:  2018-09-01       Impact factor: 9.783

5.  Measuring single-cell gene expression dynamics in bacteria using fluorescence time-lapse microscopy.

Authors:  Jonathan W Young; James C W Locke; Alphan Altinok; Nitzan Rosenfeld; Tigran Bacarian; Peter S Swain; Eric Mjolsness; Michael B Elowitz
Journal:  Nat Protoc       Date:  2011-12-15       Impact factor: 13.491

6.  The multifactorial influences of RpoS, Mlc and cAMP on ptsG expression under glucose-limited and anaerobic conditions.

Authors:  Shona Seeto; Lucinda Notley-McRobb; Thomas Ferenci
Journal:  Res Microbiol       Date:  2004-04       Impact factor: 3.992

7.  Memory and fitness optimization of bacteria under fluctuating environments.

Authors:  Guillaume Lambert; Edo Kussell; Edo Kussel
Journal:  PLoS Genet       Date:  2014-09-25       Impact factor: 5.917

8.  Emergent Subpopulation Behavior Uncovered with a Community Dynamic Metabolic Model of Escherichia coli Diauxic Growth.

Authors:  Antonella Succurro; Daniel Segrè; Oliver Ebenhöh
Journal:  mSystems       Date:  2019-01-15       Impact factor: 6.496

9.  The quantitative and condition-dependent Escherichia coli proteome.

Authors:  Alexander Schmidt; Karl Kochanowski; Silke Vedelaar; Erik Ahrné; Benjamin Volkmer; Luciano Callipo; Kèvin Knoops; Manuel Bauer; Ruedi Aebersold; Matthias Heinemann
Journal:  Nat Biotechnol       Date:  2015-12-07       Impact factor: 54.908

10.  Vertical stratification of matrix production is essential for physical integrity and architecture of macrocolony biofilms of Escherichia coli.

Authors:  Diego O Serra; Gisela Klauck; Regine Hengge
Journal:  Environ Microbiol       Date:  2015-09-10       Impact factor: 5.491

View more
  10 in total

1.  Metabolic activity affects the response of single cells to a nutrient switch in structured populations.

Authors:  Alma Dal Co; Martin Ackermann; Simon van Vliet
Journal:  J R Soc Interface       Date:  2019-07-10       Impact factor: 4.118

2.  Short-range interactions govern the dynamics and functions of microbial communities.

Authors:  Alma Dal Co; Simon van Vliet; Daniel Johannes Kiviet; Susan Schlegel; Martin Ackermann
Journal:  Nat Ecol Evol       Date:  2020-02-10       Impact factor: 15.460

Review 3.  Growing, evolving and sticking in a flowing environment: understanding IgA interactions with bacteria in the gut.

Authors:  Daniel Hoces; Markus Arnoldini; Médéric Diard; Claude Loverdo; Emma Slack
Journal:  Immunology       Date:  2019-11-27       Impact factor: 7.397

Review 4.  Bacterial metabolic heterogeneity: origins and applications in engineering and infectious disease.

Authors:  Trent D Evans; Fuzhong Zhang
Journal:  Curr Opin Biotechnol       Date:  2020-06-20       Impact factor: 9.740

5.  Global dynamics of microbial communities emerge from local interaction rules.

Authors:  Simon van Vliet; Christoph Hauert; Kyle Fridberg; Martin Ackermann; Alma Dal Co
Journal:  PLoS Comput Biol       Date:  2022-03-04       Impact factor: 4.475

6.  Dynamic proteome allocation regulates the profile of interaction of auxotrophic bacterial consortia.

Authors:  D Reyes-González; H De Luna-Valenciano; J Utrilla; M Sieber; R Peña-Miller; A Fuentes-Hernández
Journal:  R Soc Open Sci       Date:  2022-05-04       Impact factor: 3.653

7.  Application of microfluidic systems in modelling impacts of environmental structure on stress-sensing by individual microbial cells.

Authors:  Harry J Harvey; Mykyta V Chubynsky; James E Sprittles; Leslie M Shor; Sacha J Mooney; Ricky D Wildman; Simon V Avery
Journal:  Comput Struct Biotechnol J       Date:  2021-12-01       Impact factor: 7.271

8.  Bacterial age distribution in soil - Generational gaps in adjacent hot and cold spots.

Authors:  Benedict Borer; Dani Or
Journal:  PLoS Comput Biol       Date:  2022-02-25       Impact factor: 4.475

9.  Single cell ecology.

Authors:  Thomas A Richards; Ramon Massana; Stefano Pagliara; Neil Hall
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-10-07       Impact factor: 6.237

10.  Spatial organization in microbial range expansion emerges from trophic dependencies and successful lineages.

Authors:  Benedict Borer; Davide Ciccarese; David Johnson; Dani Or
Journal:  Commun Biol       Date:  2020-11-18
  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.