Comparative transcriptome analysis reveals that deletion of CheY influences gene expressions of ABC transports and metabolism in Haemophilus parasuis

Exploring and targeting potential druggable antimicrobial resistance targets ArgS, SecY, and MurA in Staphylococcus sciuri with TCM inhibitors through a subtractive genomics strategy

Staphylococcus sciuri (also currently Mammaliicoccus sciuri) are anaerobic facultative and non-motile bacteria that cause significant human pathogenesis such as endocarditis, wound infections, peritonitis, UTI, and septic shock. Methicillin-resistant S. sciuri (MRSS) strains also infects animals that include healthy broilers, cattle, dogs, and pigs. The emergence of MRSS strains thereby poses a serious health threat and thrives the scientific community towards novel treatment options. Herein, we investigated the druggable genome of S. sciuri by employing subtractive genomics that resulted in seven genes/proteins where only three of them were predicted as final targets. Further mining the literature showed that the ArgS (WP_058610923), SecY (WP_058611897), and MurA (WP_058612677) are involved in the multi-drug resistance phenomenon. After constructing and verifying the 3D protein homology models, a screening process was carried out using a library of Traditional Chinese Medicine compounds (consisting of 36,043 compounds). The molecular docking and simulation studies revealed the physicochemical stability parameters of the docked TCM inhibitors in the druggable cavities of each protein target by identifying their druggability potential and maximum hydrogen bonding interactions. The simulated receptor-ligand complexes showed the conformational changes and stability index of the secondary structure elements. The root mean square deviation (RMSD) graph showed fluctuations due to structural changes in the helix-coil-helix and beta-turn-beta changes at specific points where the pattern of the RMSD and root mean square fluctuation (RMSF) (< 1.0 Å) support any major domain shifts within the structural framework of the protein-ligand complex and placement of ligand was well complemented within the binding site. The β-factor values demonstrated instability at few points while the radius of gyration for structural compactness as a time function for the 100-ns simulation of protein-ligand complexes showed favorable average values and denoted the stability of all complexes. It is assumed that such findings might facilitate researchers to robustly discover and develop effective therapeutics against S. sciuri alongside other enteric infections.

Comprehensive analysis of transcriptome and metabolome analysis reveal new targets of Glaesserella parasuis glucose-specific enzyme IIBC (PtsG)

The ptsG (hpIIBC^Glc) gene, belonging to the glucose-specific phosphotransferase system, encodes the bacterial glucose-specific enzyme IIBC. In this study, the effects of a deletion of the ptsG gene were investigated by metabolome and transcriptome analyses. At the transcriptional level, we identified 970 differentially expressed genes between ΔptsG and sc1401 (Padj<0.05) and 2072 co-expressed genes. Among these genes, those involved in methane metabolism, amino sugar and nucleotide sugar metabolism, starch and sucrose metabolism, pyruvate metabolism, phosphotransferase system (PTS), biotin metabolism, Two-component system and Terpenoid backbone biosynthesis showed significant changes in the ΔptsG mutant strain. Metabolome analysis revealed that a total of 310 metabolites were identified, including 20 different metabolites (p < 0.05). Among them, 15 metabolites were upregulated and 5 were downregulated in ΔptsG mutant strain. Statistical analysis revealed there were 115 individual metabolites having correlation, of which 89 were positive and 26 negative. These metabolites include amino acids, phosphates, amines, esters, nucleotides, benzoic acid and adenosine, among which amino acids and phosphate metabolites dominate. However, not all of these changes were attributable to changes in mRNA levels and must also be caused by post-transcriptional regulatory processes. The knowledge gained from this lays the foundation for further study on the role of ptsG in the pathogenic process of Glaesserella parasuis (G.parasuis).

Impact of intracellular response regulator QseB in quorum sensing regulatory network in a clinical isolate SC1401 of Glaesserella parasuis

Two component systems (TCS) mediate specific responses to different conditions and/or pressures. In the quorum sensing Glaesserella parasuis (QSE) BC TCS, qseB, as a response regulator, is closely related to the transcriptional regulation of multiple downstream genes. In this study, the effects of qseB gene deletion, which encodes the response regulator of population density sensing in G. parasuis, were studied through biological characteristics and metabolomic analysis. Based on previous research, we further explored the virulence of ΔqseB mutant strains through cell morphology, adhesion and invasion. The ΔqseB mutant and parent strains were sequenced by metabolome and combined with the previous transcriptome sequencing results for joint analysis. This study aims to clarify the regulatory effect of QseB on the virulence of G. parasuis and lay the foundation for revealing the pathogenic mechanism of G. parasuis. We detected 476 different metabolites, of which 30 metabolites (6.3%) had a significant difference in abundance between SC1401 and ΔqseB (p < 0.05). We conducted a comparative analysis of pathway enrichment on the transcriptome and metabolome, and found that the two omics participate in seven metabolic pathways together. The top 10 KEGG pathways with the largest number of genes and metabolites identified in this experiment are ABC transporters, Biosynthesis of secondary metabolites, Cysteine and methionine metabolism, Purine metabolism, Pyrimidine metabolism, Metabolic pathways, and Nicotinate and nicotinamide metabolism. Analysis of metabolome sequencing results showed that differential metabolites were also enriched in metabolic pathways, such as Purine metabolism, cGMP-PKG signaling pathway and cAMP signaling pathway, which were not found in transcriptome sequencing data. The internal coloration of the mutant strain ΔqseB was uneven, and the adhesion and invasion ability of PAM cell lines were significantly reduced. We speculate that QseB may affect the adhesion and invasion ability of Glaesserella parasuis by influencing substance transport and signal transduction.