Literature DB >> 20835748

The renaissance of continuous culture in the post-genomics age.

Alan T Bull1.   

Abstract

The development of continuous culture techniques 60 years ago and the subsequent formulation of theory and the diversification of experimental systems revolutionised microbiology and heralded a unique period of innovative research. Then, progressively, molecular biology and thence genomics and related high-information-density omics technologies took centre stage and microbial growth physiology in general faded from educational programmes and research funding priorities alike. However, there has been a gathering appreciation over the past decade that if the claims of systems biology are going to be realised, they will have to be based on rigorously controlled and reproducible microbial and cell growth platforms. This revival of continuous culture will be long lasting because its recognition as the growth system of choice is firmly established. The purpose of this review, therefore, is to remind microbiologists, particularly those new to continuous culture approaches, of the legacy of what I call the first age of continuous culture, and to explore a selection of researches that are using these techniques in this post-genomics age. The review looks at the impact of continuous culture across a comprehensive range of microbiological research and development. The ability to establish (quasi-) steady state conditions is a frequently stated advantage of continuous cultures thereby allowing environmental parameters to be manipulated without causing concomitant changes in the specific growth rate. However, the use of continuous cultures also enables the critical study of specified transition states and chemical, physical or biological perturbations. Such dynamic analyses enhance our understanding of microbial ecology and microbial pathology for example, and offer a wider scope for innovative drug discovery; they also can inform the optimization of batch and fed-batch operations that are characterized by sequential transitions states.

Mesh:

Year:  2010        PMID: 20835748     DOI: 10.1007/s10295-010-0816-4

Source DB:  PubMed          Journal:  J Ind Microbiol Biotechnol        ISSN: 1367-5435            Impact factor:   3.346


  134 in total

1.  A microfluidic chemostat for experiments with bacterial and yeast cells.

Authors:  Alex Groisman; Caroline Lobo; HoJung Cho; J Kyle Campbell; Yann S Dufour; Ann M Stevens; Andre Levchenko
Journal:  Nat Methods       Date:  2005-09       Impact factor: 28.547

2.  Brucella suis in Aerated Broth Culture: III. Continuous Culture Studies.

Authors:  P Gerhardt
Journal:  J Bacteriol       Date:  1946-09       Impact factor: 3.490

3.  Prey food quality affects flagellate ingestion rates.

Authors:  S Paul Shannon; Thomas H Chrzanowski; James P Grover
Journal:  Microb Ecol       Date:  2006-12-22       Impact factor: 4.552

4.  Effects of rapid prey evolution on predator-prey cycles.

Authors:  Laura E Jones; Stephen P Ellner
Journal:  J Math Biol       Date:  2007-05-05       Impact factor: 2.259

5.  Compiling a molecular inventory for Mycobacterium bovis BCG at two growth rates: evidence for growth rate-mediated regulation of ribosome biosynthesis and lipid metabolism.

Authors:  D J V Beste; J Peters; T Hooper; C Avignone-Rossa; M E Bushell; J McFadden
Journal:  J Bacteriol       Date:  2005-03       Impact factor: 3.490

6.  Analysis of growth of Lactobacillus plantarum WCFS1 on a complex medium using a genome-scale metabolic model.

Authors:  Bas Teusink; Anne Wiersma; Douwe Molenaar; Christof Francke; Willem M de Vos; Roland J Siezen; Eddy J Smid
Journal:  J Biol Chem       Date:  2006-10-24       Impact factor: 5.157

7.  Tigecycline does not induce proliferation or cytotoxin production by epidemic Clostridium difficile strains in a human gut model.

Authors:  Simon D Baines; Katie Saxton; Jane Freeman; Mark H Wilcox
Journal:  J Antimicrob Chemother       Date:  2006-10-08       Impact factor: 5.790

8.  Continuous enrichment cultures: insights into prokaryotic diversity and metabolic interactions in deep-sea vent chimneys.

Authors:  Anne Postec; Françoise Lesongeur; Patricia Pignet; Bernard Ollivier; Joël Querellou; Anne Godfroy
Journal:  Extremophiles       Date:  2007-06-19       Impact factor: 2.395

9.  Dynamic 13C-tracer study of storage carbohydrate pools in aerobic glucose-limited Saccharomyces cerevisiae confirms a rapid steady-state turnover and fast mobilization during a modest stepup in the glucose uptake rate.

Authors:  Fredrick O Aboka; Joseph J Heijnen; Wouter A van Winden
Journal:  FEMS Yeast Res       Date:  2009-03       Impact factor: 2.796

10.  Proteome analysis of the Escherichia coli heat shock response under steady-state conditions.

Authors:  Svenja Lüders; Claas Fallet; Ezequiel Franco-Lara
Journal:  Proteome Sci       Date:  2009-09-21       Impact factor: 2.480

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  34 in total

1.  Growth, metabolic partitioning, and the size of microorganisms.

Authors:  Christopher P Kempes; Stephanie Dutkiewicz; Michael J Follows
Journal:  Proc Natl Acad Sci U S A       Date:  2011-12-27       Impact factor: 11.205

2.  Concerted changes in gene expression and cell physiology of the cyanobacterium Synechocystis sp. strain PCC 6803 during transitions between nitrogen and light-limited growth.

Authors:  Eneas Aguirre von Wobeser; Bas W Ibelings; Jasper Bok; Vladimir Krasikov; Jef Huisman; Hans C P Matthijs
Journal:  Plant Physiol       Date:  2011-01-04       Impact factor: 8.340

3.  Response of Acidithiobacillus caldus toward suboptimal pH conditions.

Authors:  Stefanie Mangold; Venkateswara Rao Jonna; Mark Dopson
Journal:  Extremophiles       Date:  2013-05-28       Impact factor: 2.395

4.  Implementation of the sludge biotic index in a petrochemical WWTP in Brazil: improving operational control with traditional methods.

Authors:  Ana Lusia Leal; Marina Schmidt Dalzochio; Tatiane Strogulski Flores; Aline Scherer de Alves; Julio Cesar Macedo; Victor Hugo Valiati
Journal:  J Ind Microbiol Biotechnol       Date:  2013-10-11       Impact factor: 3.346

5.  Dynamics in microbial communities: unraveling mechanisms to identify principles.

Authors:  Allan Konopka; Stephen Lindemann; Jim Fredrickson
Journal:  ISME J       Date:  2014-12-19       Impact factor: 10.302

Review 6.  Experimental Design, Population Dynamics, and Diversity in Microbial Experimental Evolution.

Authors:  Bram Van den Bergh; Toon Swings; Maarten Fauvart; Jan Michiels
Journal:  Microbiol Mol Biol Rev       Date:  2018-07-25       Impact factor: 11.056

7.  Designing Automated, High-throughput, Continuous Cell Growth Experiments Using eVOLVER.

Authors:  Zachary J Heins; Christopher P Mancuso; Szilvia Kiriakov; Brandon G Wong; Caleb J Bashor; Ahmad S Khalil
Journal:  J Vis Exp       Date:  2019-05-19       Impact factor: 1.355

8.  Metabolic responses of Saccharomyces cerevisiae to valine and ammonium pulses during four-stage continuous wine fermentations.

Authors:  T Clement; M Perez; J R Mouret; I Sanchez; J M Sablayrolles; C Camarasa
Journal:  Appl Environ Microbiol       Date:  2013-02-15       Impact factor: 4.792

9.  Inference of interactions in cyanobacterial-heterotrophic co-cultures via transcriptome sequencing.

Authors:  Alexander S Beliaev; Margie F Romine; Margrethe Serres; Hans C Bernstein; Bryan E Linggi; Lye M Markillie; Nancy G Isern; William B Chrisler; Leo A Kucek; Eric A Hill; Grigoriy E Pinchuk; Donald A Bryant; H Steven Wiley; Jim K Fredrickson; Allan Konopka
Journal:  ISME J       Date:  2014-04-29       Impact factor: 10.302

Review 10.  The functional basis of adaptive evolution in chemostats.

Authors:  David Gresham; Jungeui Hong
Journal:  FEMS Microbiol Rev       Date:  2014-12-04       Impact factor: 16.408

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