HUBEI AGRICULTURAL SCIENCES ›› 2022, Vol. 61 ›› Issue (24): 177-184.doi: 10.14088/j.cnki.issn0439-8114.2022.24.037

• Biological Engineering • Previous Articles     Next Articles

Bioinformatics analysis of LuxR family regulatory proteins of sulfate-reducing bacteria class

CHEN Wei, LIU Xiao-yan, ZHU Lei   

  1. Hubei Biopesticide Engineering Research Center/National Biopesticide Engineering Technology Research Center/Biopesticide Branch Center of Hubei Agricultural Science and Technology Innovation Center, Hubei Academy of Agricultural Sciences,Wuhan 430064,China
  • Received:2022-09-29 Online:2022-12-25 Published:2023-01-18

Abstract: The SRB research model strain Desulfovibrio vulgaris Hildenborough was used to analyze the genes related to the population sensing system involved in the formation and regulation of biofilm, and three potential LuxR-like family regulator genes citB1, citB2 and citB3 were identified, and the protein sequences encoded by them were analyzed bioinformatically. The results showed that citB1 gene encoded 216 amino acids, citB2 gene encoded 227 amino acids and citB3 gene encoded 215 amino acids, with amino acid identity between them ranging from 28.99% to 37.79%. All three protein sequences contained conserved structural domains for N-terminal signal reception and C-terminal LuxR family DNA binding regulation, and the secondary structures were mainly α-helix and irregularly curled. The homology analysis revealed that the sequences of the three proteins were more conserved in the DNA-binding regulatory conserved structural domain, while they were more variable in the signal-receiving structural domain, presumably related to the acceptance of different signaling molecules. Phylogenetic analysis showed that the signal reception mode and downstream gene regulation function of CitB1 and CitB3 proteins might be universal in SRB population, while the signal reception mode and gene regulation of CitB2 protein might be specific. The results suggested that novel population-sensing signal reception and regulation mechanisms might exist in SRB.

Key words: sulfate-reducing bacteria, population sensing, regulatory genes, bioinformatics

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