High-yield production of active recombinant S. simulans lysostaphin expressed in E. coli in a laboratory bioreactor

Duman-Özdamar, Zeynep Efsun and Ünlü, Aişe and Ünal, Hayriye and Woodley, John M. and Bi̇nay, Barış (2021) High-yield production of active recombinant S. simulans lysostaphin expressed in E. coli in a laboratory bioreactor. Protein Expression and Purification, 177 . ISSN 1046-5928 (Print) 1096-0279 (Online)

Full text not available from this repository. (Request a copy)


Staphylococcus aureus (S. aureus), which has developed multidrug resistance, leads to many healthcare-associated infections resulting in significant medical and economic losses. Therefore, the development of new efficient strategies to deal with these bacteria has been gaining importance. Lysostaphin is a peptidoglycan hydrolase that has considerable potential as a bacteriocin. However, there have been few reported optimization and scale-up studies of the lysostaphin bioproduction process. Our preliminary results have revealed that the composition of auto-induction media at 30 °C increases the produced lysostaphin around 10-fold in shake flasks. In this study, achieving higher yields for recombinant lysostaphin in E. coli at a laboratory scale has been the aim, through the use of auto-induction media. Optimized medium composition and fermentation parameters were transferred to a laboratory-scale bioreactor. The tested conditions improved protein yields up to 184 mg/L in a 3 L stirred bioreactor and the productivity was improved 2-fold in comparison to previously published reports. Furthermore, this study also showed that lysostaphin is an effective bacteriocin on both commercially available and isolated S. aureus strains. These results will contribute to future larger-scale production of lysostaphin via the proposed fermentation conditions.
Item Type: Article
Uncontrolled Keywords: Auto-induction medium; E. coli expression system; L- (+) arabinose; Laboratory bioreactor; Lysostaphin; Scale-up
Divisions: Sabancı University Nanotechnology Research and Application Center
Depositing User: Hayriye Ünal
Date Deposited: 16 Aug 2022 21:13
Last Modified: 16 Aug 2022 21:13
URI: https://research.sabanciuniv.edu/id/eprint/43196

Actions (login required)

View Item
View Item