Literature DB >> 21592775

Bacterial growth laws and their applications.

Matthew Scott1, Terence Hwa.   

Abstract

Quantitative empirical relationships between cell composition and growth rate played an important role in the early days of microbiology. Gradually, the focus of the field began to shift from growth physiology to the ever more elaborate molecular mechanisms of regulation employed by the organisms. Advances in systems biology and biotechnology have renewed interest in the physiology of the cell as a whole. Furthermore, gene expression is known to be intimately coupled to the growth state of the cell. Here, we review recent efforts in characterizing such couplings, particularly the quantitative phenomenological approaches exploiting bacterial 'growth laws.' These approaches point toward underlying design principles that can guide the predictive manipulation of cell behavior in the absence of molecular details.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21592775      PMCID: PMC3152618          DOI: 10.1016/j.copbio.2011.04.014

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


  61 in total

1.  Bacterial persistence as a phenotypic switch.

Authors:  Nathalie Q Balaban; Jack Merrin; Remy Chait; Lukasz Kowalik; Stanislas Leibler
Journal:  Science       Date:  2004-08-12       Impact factor: 47.728

2.  Interdependence of cell growth and gene expression: origins and consequences.

Authors:  Matthew Scott; Carl W Gunderson; Eduard M Mateescu; Zhongge Zhang; Terence Hwa
Journal:  Science       Date:  2010-11-19       Impact factor: 47.728

Review 3.  A green light for engineered algae: redirecting metabolism to fuel a biotechnology revolution.

Authors:  Julian N Rosenberg; George A Oyler; Loy Wilkinson; Michael J Betenbaugh
Journal:  Curr Opin Biotechnol       Date:  2008-09-06       Impact factor: 9.740

4.  Five hard truths for synthetic biology.

Authors:  Roberta Kwok
Journal:  Nature       Date:  2010-01-21       Impact factor: 49.962

Review 5.  Coordination of gene expression with growth rate: a feedback or a feed-forward strategy?

Authors:  Sagi Levy; Naama Barkai
Journal:  FEBS Lett       Date:  2009-12-17       Impact factor: 4.124

Review 6.  Why can't a cell grow infinitely fast?

Authors:  A L Koch
Journal:  Can J Microbiol       Date:  1988-04       Impact factor: 2.419

7.  Omic data from evolved E. coli are consistent with computed optimal growth from genome-scale models.

Authors:  Nathan E Lewis; Kim K Hixson; Tom M Conrad; Joshua A Lerman; Pep Charusanti; Ashoka D Polpitiya; Joshua N Adkins; Gunnar Schramm; Samuel O Purvine; Daniel Lopez-Ferrer; Karl K Weitz; Roland Eils; Rainer König; Richard D Smith; Bernhard Ø Palsson
Journal:  Mol Syst Biol       Date:  2010-07       Impact factor: 11.429

8.  Plasmid-encoded protein: the principal factor in the "metabolic burden" associated with recombinant bacteria.

Authors:  W E Bentley; N Mirjalili; D C Andersen; R H Davis; D S Kompala
Journal:  Biotechnol Bioeng       Date:  1990-03-25       Impact factor: 4.530

9.  Gratuitous overexpression of genes in Escherichia coli leads to growth inhibition and ribosome destruction.

Authors:  H Dong; L Nilsson; C G Kurland
Journal:  J Bacteriol       Date:  1995-03       Impact factor: 3.490

10.  Predicting cellular growth from gene expression signatures.

Authors:  Edoardo M Airoldi; Curtis Huttenhower; David Gresham; Charles Lu; Amy A Caudy; Maitreya J Dunham; James R Broach; David Botstein; Olga G Troyanskaya
Journal:  PLoS Comput Biol       Date:  2009-01-02       Impact factor: 4.475

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  94 in total

1.  Molecular crowding limits translation and cell growth.

Authors:  Stefan Klumpp; Matthew Scott; Steen Pedersen; Terence Hwa
Journal:  Proc Natl Acad Sci U S A       Date:  2013-09-30       Impact factor: 11.205

2.  Optimal control of gene expression for fast proteome adaptation to environmental change.

Authors:  Michael Y Pavlov; Måns Ehrenberg
Journal:  Proc Natl Acad Sci U S A       Date:  2013-12-02       Impact factor: 11.205

3.  Elementary Growth Modes provide a molecular description of cellular self-fabrication.

Authors:  Daan H de Groot; Josephus Hulshof; Bas Teusink; Frank J Bruggeman; Robert Planqué
Journal:  PLoS Comput Biol       Date:  2020-01-27       Impact factor: 4.475

4.  Variable-Internal-Stores models of microbial growth and metabolism with dynamic allocation of cellular resources.

Authors:  Olga A Nev; Hugo A van den Berg
Journal:  J Math Biol       Date:  2016-06-06       Impact factor: 2.259

5.  Drug persistence - from antibiotics to cancer therapies.

Authors:  Karl Kochanowski; Leanna Morinishi; Steven Altschuler; Lani Wu
Journal:  Curr Opin Syst Biol       Date:  2018-03-31

6.  Scaling laws governing stochastic growth and division of single bacterial cells.

Authors:  Srividya Iyer-Biswas; Charles S Wright; Jonathan T Henry; Klevin Lo; Stanislav Burov; Yihan Lin; Gavin E Crooks; Sean Crosson; Aaron R Dinner; Norbert F Scherer
Journal:  Proc Natl Acad Sci U S A       Date:  2014-10-27       Impact factor: 11.205

7.  Mechanistic links between cellular trade-offs, gene expression, and growth.

Authors:  Andrea Y Weiße; Diego A Oyarzún; Vincent Danos; Peter S Swain
Journal:  Proc Natl Acad Sci U S A       Date:  2015-02-18       Impact factor: 11.205

8.  The innate growth bistability and fitness landscapes of antibiotic-resistant bacteria.

Authors:  J Barrett Deris; Minsu Kim; Zhongge Zhang; Hiroyuki Okano; Rutger Hermsen; Alexander Groisman; Terence Hwa
Journal:  Science       Date:  2013-11-29       Impact factor: 47.728

9.  Measuring the dynamics of E. coli ribosome biogenesis using pulse-labeling and quantitative mass spectrometry.

Authors:  Stephen S Chen; Edit Sperling; Josh M Silverman; Joseph H Davis; James R Williamson
Journal:  Mol Biosyst       Date:  2012-10-30

10.  Decoupling Yeast Cell Division and Stress Defense Implicates mRNA Repression in Translational Reallocation during Stress.

Authors:  Yi-Hsuan Ho; Evgenia Shishkova; James Hose; Joshua J Coon; Audrey P Gasch
Journal:  Curr Biol       Date:  2018-08-02       Impact factor: 10.834

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