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Effects of the par locus on the growth rate and structural stability of recombinant cells

J Y Kim1, H A Kang, D D Ryu

  • 1Microbiology Graduate Group, School of Medicine, University of California at Davis 95616.

Biotechnology Progress
|September 1, 1993
PubMed

Insights

Recombinant cell growth slows when strong promoters on multicopy plasmids are induced. Adding a par sequence partially reverses this negative effect, improving growth rates in engineered Escherichia coli.

Area of Science:

  • Molecular Biology
  • Biotechnology
  • Microbial Genetics

Background:

  • Recombinant cell growth is often inhibited when expressing foreign genes from strong promoters on multicopy plasmids.
  • This growth defect is hypothesized to result from the diversion of cellular resources like energy and protein synthesis machinery.

Purpose of the Study:

  • To investigate the impact of genetic elements on multicopy plasmids on the growth rate of recombinant Escherichia coli.
  • To identify specific plasmid components responsible for reduced cell growth.

Main Methods:

  • Engineered recombinant Escherichia coli (K12 delta H1 delta trpEA) strains carrying multicopy plasmids with varying genetic elements.
  • Induction of the PL promoter, with and without downstream protein-coding sequences.
  • Assessment of cell growth rates under different plasmid configurations.
  • Introduction of the par sequence from pSC101 to evaluate its effect on growth.

Main Results:

  • Induction of the PL promoter, regardless of downstream sequences, decreased recombinant cell growth by 15-50%.
  • This suggests that plasmid genetic elements sequester essential cellular factors, impairing growth.
  • The inclusion of the par sequence partially reversed the negative growth effect.

Conclusions:

  • Plasmid-borne genetic elements, particularly strong promoters, significantly impede recombinant Escherichia coli growth.
  • The par sequence demonstrates a protective effect, partially mitigating growth inhibition caused by plasmid burden.
  • Understanding these interactions is crucial for optimizing recombinant protein production.

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