Genome shuffling enhanced L-lactic acid production by improving glucose tolerance of Lactobacillus rhamnosus

J Biotechnol. 2008 Mar 20;134(1-2):154-9. doi: 10.1016/j.jbiotec.2008.01.008. Epub 2008 Jan 18.

Abstract

Genome shuffling is a powerful strategy for rapid engineering of microbial strains for desirable industrial phenotypes. Here we applied the genome shuffling to improve the glucose tolerance of Lactobacillus rhamnosus ATCC 11443 while simultaneously enhancing the L-lactic acid production. The starting population was generated by ultraviolet irradiation and nitrosoguanidine mutagenesis and then subjected for the recursive protoplast fusion. The positive colonies from library created by fusing the inactivated protoplasts were more likely to be screened on plates containing different concentrations of high glucose and 2% CaCO(3). Characterization of all mutants and wild-type strain in the shake flask indicated the compatibility of two optimal phenotypes of glucose tolerance and lactic acid enhancement. The lactic acid production, cell growth and glucose consumption of the best performing strain from the second round genome shuffled populations were 71.4%, 44.9% and 62.2% higher than those of the wild type at the initial glucose concentration of 150 g/l in the 16l bioreactor. Furthermore, the higher lactic acid concentrations were obtained when the initial glucose concentrations increased to 160 and 200 g/l in batch fermentation.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Bioreactors
  • DNA Shuffling
  • Genome, Bacterial / drug effects
  • Genome, Bacterial / genetics*
  • Genome, Bacterial / radiation effects
  • Glucose / metabolism*
  • Lactic Acid / biosynthesis*
  • Lacticaseibacillus rhamnosus / genetics*
  • Lacticaseibacillus rhamnosus / metabolism
  • Mutagenesis
  • Nitrosoguanidines / pharmacology
  • Ultraviolet Rays

Substances

  • Nitrosoguanidines
  • Lactic Acid
  • Glucose