Literature DB >> 18438778

Host strain influences on supercoiled plasmid DNA production in Escherichia coli: Implications for efficient design of large-scale processes.

Sin Yee Yau1, Eli Keshavarz-Moore, John Ward.   

Abstract

We set out to investigate if E. coli genotype plays a significant role in host strain selection for optimal processing of plasmid DNA based on both quality and quantity of supercoiling. Firstly 17 E. coli commercial and non-commercial strains were selected and their available genetic backgrounds were researched in the open literature. Growth characteristics of all the strains were considered and made impartial by using a common medium and growth condition platform. By keeping the growth conditions constant for each strain/plasmid combination, we are only looking at one variable which is the host strain. The second step was to attempt to correlate the findings with common genotype characteristics (e.g. mutations such as endA or recA). We found that one can screen the number of strains which are likely to give good productivity early on, before any further optimisation and verification is performed, both for small and large plasmids. Also, it is worth noting that complex plasmid interactions with each strain prevent the use of genotype alone in making an intelligent choice for supercoiling optimisation. This leads to a third optimisation step selecting a few of the potentially high performing strains based on high DNA yield and supercoiling, with a view to identify the factors which need improvement in strain design and bioreactor optimisation. We found that high specific growth rates of some strains did not affect the level of DNA supercoiling but did influence the total plasmid yield, potentially an important aspect in the design of fermentation strategy. Interestingly, a few host/plasmid combinations result in what appears to be runaway plasmid replication. (c) 2008 Wiley Periodicals, Inc.

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Year:  2008        PMID: 18438778     DOI: 10.1002/bit.21915

Source DB:  PubMed          Journal:  Biotechnol Bioeng        ISSN: 0006-3592            Impact factor:   4.530


  8 in total

1.  DNA plasmid production in different host strains of Escherichia coli.

Authors:  Adam Singer; Mark A Eiteman; Elliot Altman
Journal:  J Ind Microbiol Biotechnol       Date:  2009-01-10       Impact factor: 3.346

Review 2.  Plasmid DNA vaccine vector design: impact on efficacy, safety and upstream production.

Authors:  James A Williams; Aaron E Carnes; Clague P Hodgson
Journal:  Biotechnol Adv       Date:  2009-02-20       Impact factor: 14.227

3.  Generic plasmid DNA production platform incorporating low metabolic burden seed-stock and fed-batch fermentation processes.

Authors:  James A Williams; Jeremy Luke; Sarah Langtry; Sheryl Anderson; Clague P Hodgson; Aaron E Carnes
Journal:  Biotechnol Bioeng       Date:  2009-08-15       Impact factor: 4.530

4.  Engineering Escherichia coli to increase plasmid DNA production in high cell-density cultivations in batch mode.

Authors:  Gheorghe M Borja; Eugenio Meza Mora; Blanca Barrón; Guillermo Gosset; Octavio T Ramírez; Alvaro R Lara
Journal:  Microb Cell Fact       Date:  2012-09-19       Impact factor: 5.328

5.  A cell engineering strategy to enhance supercoiled plasmid DNA production for gene therapy.

Authors:  Sally Hassan; Eli Keshavarz-Moore; John Ward
Journal:  Biotechnol Bioeng       Date:  2016-03-16       Impact factor: 4.530

6.  Application of Plasmid Engineering to Enhance Yield and Quality of Plasmid for Vaccine and Gene Therapy.

Authors:  Olusegun Folarin; Darren Nesbeth; John M Ward; Eli Keshavarz-Moore
Journal:  Bioengineering (Basel)       Date:  2019-06-19

Review 7.  Vector Design for Improved DNA Vaccine Efficacy, Safety and Production.

Authors:  James A Williams
Journal:  Vaccines (Basel)       Date:  2013-06-25

8.  Optimization of fermentation conditions for an Escherichia coli strain engineered using the response surface method to produce a novel therapeutic DNA vaccine for rheumatoid arthritis.

Authors:  Juan Long; Xiao Zhao; Fei Liang; Nan Liu; Yuying Sun; Yongzhi Xi
Journal:  J Biol Eng       Date:  2018-10-10       Impact factor: 4.355

  8 in total

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