NagZ modulates the virulence of E. cloacae by acting through the gene of unknown function, ECL_03795.
Xianggui YangJun ZengDan WangQin ZhouXuejing YuZhenguo WangTingting BaiGuangxin LuanYing XuPublished in: Virulence (2024)
β-N-acetylglucosaminidase (NagZ), a cytosolic glucosaminidase, plays a pivotal role in peptidoglycan recycling. Previous research demonstrated that NagZ knockout significantly eradicated AmpC-dependent β-lactam resistance in Enterobacter cloacae . However, NagZ's role in the virulence of E. cloacae remains unclear. Our study, incorporating data on mouse and Galleria mellonella larval mortality rates, inflammation markers, and histopathological examinations, revealed a substantial reduction in the virulence of E. cloacae following NagZ knockout. Transcriptome sequencing uncovered differential gene expression between NagZ knockout and wild-type strains, particularly in nucleotide metabolism pathways. Further investigation demonstrated that NagZ deletion led to a significant increase in cyclic diguanosine monophosphate (c-di-GMP) levels. Additionally, transcriptome sequencing and RT-qPCR confirmed significant differences in the expression of ECL_03795, a gene with an unknown function but speculated to be involved in c-di-GMP metabolism due to its EAL domain known for phosphodiesterase activity. Interestingly, in ECL_03795 knockout strains, a notable reduction in the virulence was observed, and virulence was rescued upon complementation with ECL_03795. Consequently, our study suggests that NagZ's function on virulence is partially mediated through the ECL_03795→c-di-GMP pathway, providing insight into the development of novel therapies and strongly supporting the interest in creating highly efficient NagZ inhibitors.
Keyphrases
- biofilm formation
- escherichia coli
- pseudomonas aeruginosa
- staphylococcus aureus
- gene expression
- candida albicans
- wild type
- single cell
- antimicrobial resistance
- highly efficient
- genome wide
- rna seq
- dna methylation
- poor prognosis
- zika virus
- electronic health record
- type diabetes
- risk factors
- coronary artery disease
- cardiovascular disease
- artificial intelligence