HUBEI AGRICULTURAL SCIENCES ›› 2025, Vol. 64 ›› Issue (7): 137-141.doi: 10.14088/j.cnki.issn0439-8114.2025.07.024

• Animal Husbandry & Veterinary Medicine • Previous Articles     Next Articles

The construction and analysis of the protein-protein interaction network of Erysipelothrix rhusiopathiae

WU Xue-jun1, DONG Qi2, ZHOU Cai-qin1, ZHANG Xiao-wei1, LIU Wei3   

  1. 1. Zhejiang Center for Animal Disease Control and Prevention, Hangzhou 311199, China;
    2. Huanggang City Tuanfeng County Animal Husbandry and Veterinary Development Center , Huanggang 438000, Hubei , China;
    3. Key Laboratory of Prevention and Control Agents for Animal Bacteriosis (Ministry of Agriculture and Rural Affairs) / Hubei Provincial Key Laboratory of Animal Pathogenic Microbiology / Institute of Animal Husbandry and Veterinary, Hubei Academy of Agricultural Sciences, Wuhan 430064, China
  • Received:2025-03-05 Online:2025-07-25 Published:2025-08-22

Abstract: Analysis of the interaction between pathogenic proteins was an important way to understand their life activities, reveal the signal transduction mechanism, and predict potential drug targets. The aim of this study was to construct a comprehensive interaction network between the encoded proteins of Erysipelothrix rhusiopathiae by using the DIP protein interaction database and the homologous protein mapping method. The constructed interaction network contains 2 113 pairs of non-redundant interactions involving 330 proteins. Our analysis unraveled 40 proteins with highest interactions in the network, and most of them were related to translation, transcription, molecular chaperone, and other functions. Further analysis showed that chaperone proteins DnaK, DnaJ, GroEL and DEAD/DEAH helicases had high interaction frequencies and could interact with multiple functional proteins such as ribosomal proteins, metabolically related proteins, chaperone proteins, and cell division proteins. The results suggested that if the functions of DnaK, DnaJ, GroEL, DEAD/DEAH helicases were inhibited, the normal life activities of Erysipelothrix rhusiopathiae would be greatly affected.

Key words: Erysipelothrix rhusiopathiae, protein interaction, interaction network

CLC Number: