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Secreting recombinant barnase by Lactococcus lactis and its application in reducing RNA from forages.

Authors :
Ai, Yaqian
Li, Xingjiang
Wu, Xuefeng
Montalbán-López, Manuel
Zheng, Zhi
Mu, Dongdong
Source :
Enzyme & Microbial Technology. Mar2023, Vol. 164, pN.PAG-N.PAG. 1p.
Publication Year :
2023

Abstract

Barnase is a ribonuclease used for plasmid purification, targeted gene therapy and studies of protein interactions. To make the use of barnase easier, the barnase gene from Bacillus amyloliquefaciens BH072 was cloned into Lactococcus lactis under the control of the P P5 or P nisA promoters. Four recombinant expression vectors were constructed with one or two signal peptides to control the enzyme secretion. 310 mg/L barnase was obtained in the presence of its inhibitor barstar after 36 h induction. The properties of barnase were investigated, showing that the optimal reaction temperature and pH were 50 °C and 5.0, respectively, and the highest enzyme activity reached 16.5 kU/mL. Barnase stored at 40 °C for 72 h retained 90 % of its initial activity, and maintained more than 80 % of its initial activity after 72 h of storage at pH 5.0–9.0. Furthermore, the optimal conditions for enzymatic reduction of nucleic acids in single-cell proteins (SCP) forages was investigated. 1 % salt solution with an SCP-enzyme ratio of 1000:1, pH 5.0 and incubated at 50 °C for 1 h, allowed 82 % RNA content reduction. Finally, homology modeling of barnase demonstrates its three-dimensional structure, and substrate simulation docking predicts key active residues as well as bonding patterns. [Display omitted] • Construction and screening of a heterologous expression system of barnase. • Exploring the optimal conditions for barnase expression • Analysis of enzyme structure using homology modeling and molecular docking. • Optimizing barnase reaction conditions to reduce nucleic acids in SCP. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01410229
Volume :
164
Database :
Academic Search Index
Journal :
Enzyme & Microbial Technology
Publication Type :
Academic Journal
Accession number :
161362494
Full Text :
https://doi.org/10.1016/j.enzmictec.2022.110191