Literature DB >> 32574927

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

Trent D Evans1, Fuzhong Zhang2.   

Abstract

Bacteria within an isoclonal population display significant heterogeneity in metabolism, even under tightly controlled environmental conditions. Metabolic heterogeneity enables influential functions not possible or measurable at the ensemble scale. Several molecular and cellular mechanisms are likely to give rise to metabolic heterogeneity including molecular noise in metabolic enzyme expression, positive feedback loops, and asymmetric partitioning of cellular components during cell division. Dissection of the mechanistic origins of metabolic heterogeneity has been enabled by recent developments in single-cell analytical tools. Finally, we provide a discussion of recent studies examining the importance of metabolic heterogeneity in applied settings such as infectious disease and metabolic engineering.
Copyright © 2020 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Entities:  

Mesh:

Year:  2020        PMID: 32574927      PMCID: PMC7485380          DOI: 10.1016/j.copbio.2020.04.007

Source DB:  PubMed          Journal:  Curr Opin Biotechnol        ISSN: 0958-1669            Impact factor:   9.740


  67 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.  Quantifying ribosome dynamics in Escherichia coli using fluorescence.

Authors:  Jurek Failmezger; Julian Ludwig; Alexander Nieß; Martin Siemann-Herzberg
Journal:  FEMS Microbiol Lett       Date:  2017-03-01       Impact factor: 2.742

3.  Contribution of RNA polymerase concentration variation to protein expression noise.

Authors:  Sora Yang; Seunghyeon Kim; Yu Rim Lim; Cheolhee Kim; Hyeong Jeon An; Ji-Hyun Kim; Jaeyoung Sung; Nam Ki Lee
Journal:  Nat Commun       Date:  2014-09-01       Impact factor: 14.919

4.  Single cell observations show persister cells wake based on ribosome content.

Authors:  Jun-Seob Kim; Ryota Yamasaki; Sooyeon Song; Weiwei Zhang; Thomas K Wood
Journal:  Environ Microbiol       Date:  2018-03-26       Impact factor: 5.491

5.  Metabolic Feedback Circuits Provide Rapid Control of Metabolite Dynamics.

Authors:  Di Liu; Fuzhong Zhang
Journal:  ACS Synth Biol       Date:  2018-01-08       Impact factor: 5.110

Review 6.  Review of methods to probe single cell metabolism and bioenergetics.

Authors:  Andreas E Vasdekis; Gregory Stephanopoulos
Journal:  Metab Eng       Date:  2014-10-31       Impact factor: 9.783

7.  Metabolite-enabled eradication of bacterial persisters by aminoglycosides.

Authors:  Kyle R Allison; Mark P Brynildsen; James J Collins
Journal:  Nature       Date:  2011-05-12       Impact factor: 49.962

8.  Persister formation in Staphylococcus aureus is associated with ATP depletion.

Authors:  Brian P Conlon; Sarah E Rowe; Autumn Brown Gandt; Austin S Nuxoll; Niles P Donegan; Eliza A Zalis; Geremy Clair; Joshua N Adkins; Ambrose L Cheung; Kim Lewis
Journal:  Nat Microbiol       Date:  2016-04-18       Impact factor: 17.745

9.  Diverse genetic error modes constrain large-scale bio-based production.

Authors:  Peter Rugbjerg; Nils Myling-Petersen; Andreas Porse; Kira Sarup-Lytzen; Morten O A Sommer
Journal:  Nat Commun       Date:  2018-02-20       Impact factor: 14.919

Review 10.  Definitions and guidelines for research on antibiotic persistence.

Authors:  Nathalie Q Balaban; Sophie Helaine; Kim Lewis; Martin Ackermann; Bree Aldridge; Dan I Andersson; Mark P Brynildsen; Dirk Bumann; Andrew Camilli; James J Collins; Christoph Dehio; Sarah Fortune; Jean-Marc Ghigo; Wolf-Dietrich Hardt; Alexander Harms; Matthias Heinemann; Deborah T Hung; Urs Jenal; Bruce R Levin; Jan Michiels; Gisela Storz; Man-Wah Tan; Tanel Tenson; Laurence Van Melderen; Annelies Zinkernagel
Journal:  Nat Rev Microbiol       Date:  2019-07       Impact factor: 60.633

View more
  3 in total

1.  Visualization of mRNA Expression in Pseudomonas aeruginosa Aggregates Reveals Spatial Patterns of Fermentative and Denitrifying Metabolism.

Authors:  Jadzia Livingston; Melanie A Spero; Zachery R Lonergan; Dianne K Newman
Journal:  Appl Environ Microbiol       Date:  2022-05-19       Impact factor: 5.005

2.  Transient Antibiotic Tolerance Triggered by Nutrient Shifts From Gluconeogenic Carbon Sources to Fatty Acid.

Authors:  Christopher J Hartline; Ruixue Zhang; Fuzhong Zhang
Journal:  Front Microbiol       Date:  2022-03-11       Impact factor: 5.640

Review 3.  Control strategies to manage trade-offs during microbial production.

Authors:  Yichao Han; Fuzhong Zhang
Journal:  Curr Opin Biotechnol       Date:  2020-08-15       Impact factor: 9.740

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.