Biotechnology Bulletin ›› 2025, Vol. 41 ›› Issue (7): 336-346.doi: 10.13560/j.cnki.biotech.bull.1985.2025-0008

Previous Articles     Next Articles

Enhancing the Thermostability of Lysozyme RPL187 Based on Protein Intelligence Models

WANG Hui1,2(), FAN Ling-xi2, SUN Ji-lu1, WANG Yuan3, WU Ning-feng2, TIAN Jian3, GUAN Fei-fei2()   

  1. 1.College of Food Science and Technology, Hebei Agricultural University, Baoding 071000
    2.Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing 100081
    3.Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193
  • Received:2025-01-04 Online:2025-07-26 Published:2025-07-22
  • Contact: GUAN Fei-fei E-mail:asherhui0120@163.com;guanfeifei@caas.cn

Abstract:

Objective Lysozyme may be widely used as bacteriostatic agent in food, biomedicine and other fields. However, the stability of lysozyme as a biologically active substance is greatly affected by temperature, which makes it difficult to meet the needs of different industries. Therefore, a modification strategy incorporating the use of artificial intelligence models to design and screen protein mutants was used to improve the thermostability of lysozyme and expand the practical applications of lysozyme. Method The research material is lysozyme RPL187 from rumen protozoa genome. The variation of residual enzyme activities of lysozyme RPL187 at different temperatures (37, 45, 50, and 55 ℃) for different treating times (0, 1, 2, 4, and 8 h) were detected by the national standard method through the heterologous expression of the protein in Escherichia coli. The multipoint mutant of RPL187 was generated and screened based on the AI model, and the variations of residual enzyme activities of lysozyme mutant were detected at different temperatures and different times by the national standard method. The mechanism of the improved thermostability was investigated by determining the changes in Tm value, free energy, number of hydrogen bonds, and content of secondary structure between the wild type and the mutant. Result The specific activity of the RPL187 was (142 000±2 000) U/mg at 37 ℃ and pH 6.5, which was 5 times that of egg white lysozyme. RPL187 was more stable at 37 ℃ and 45 ℃, but with the increase of temperature and the prolongation of the heat treatment time, there was a significant decrease in the specific activity of the enzyme. After incubation for 1 h at 55 ℃, the specific activity of the enzyme decreased by about 88%. In order to improve the thermostability of RPL187, a total of 11 RPL187 multipoint mutants were screened based on the artificial intelligence model; seven mutants were successfully expressed solubilistically in E. coli, among which, RPL187-592 and RPL187-209 had the inhibitory activity against Micrococcus garciniae. Further results of the thermostability assay showed that RPL187-592 and RPL187-209 were stable at 50 ℃. The residual enzyme specific activities after heat treatment at 50 ℃ for 8 h were 4.43 times and 2.29 times that of the wild type, the Tm values were 2.06 ℃ and 2.41 ℃ higher than that of the wild type, and the free energies were 1.57 kcal/mol and 0.43 kcal/mol lower than that of the wild type, which demonstrated a more stable conformation and a higher thermostability than those of the wild type. Compared with the wild type, mutant RPL187-592 showed an increase of three intramolecular hydrogen bonds and the shift of amino acids from hydrophilic to hydrophobic (K2V and K137V) both contributed to the increase in thermostability of the protein; whereas, in RPL187-209, the increase in thermostability may be due to the shift of amino acids from flexible to rigid (K78P and K108P) and from hydrophilic to hydrophobic (K137A). Conclusion This modification strategy may effectively improve the thermostability of proteins, which is of great significance for the practical needs of expanding the application range of lysozyme, and also provides a referable basis for related research.

Key words: lysozyme, Micrococcus garciniae, specific activity, thermostability modification, artificial intelligence model