Increased Brucella abortus asRNA_0067 expression under intraphagocytic stressors is associated with enhanced virB2 transcription.
Adrian Muñoz-BucioBeatriz Arellano-ReynosoFélix J SangariRodrigo SieiraPatricia ThébaultClara EspitiaJuan María García-LoboAsunción SeoaneFrancisco Suárez-GüemesPublished in: Archives of microbiology (2024)
Intracellular pathogens like Brucella face challenges during the intraphagocytic adaptation phase, where the modulation of gene expression plays an essential role in taking advantage of stressors to persist inside the host cell. This study aims to explore the expression of antisense virB2 RNA strand and related genes under intracellular simulation media. Sense and antisense virB2 RNA strands increased expression when nutrient deprivation and acidification were higher, being starvation more determinative. Meanwhile, bspB, one of the T4SS effector genes, exhibited the highest expression during the exposition to pH 4.5 and nutrient abundance. Based on RNA-seq analysis and RACE data, we constructed a regional map depicting the 5' and 3' ends of virB2 and the cis-encoded asRNA_0067. Without affecting the CDS or a possible autonomous RBS, we generate the deletion mutant ΔasRNA_0067, significantly reducing virB2 mRNA expression and survival rate. These results suggest that the antisense asRNA_0067 expression is promoted under exposure to the intraphagocytic adaptation phase stressors, and its deletion is associated with a lower transcription of the virB2 gene. Our findings illuminate the significance of these RNA strands in modulating the survival strategy of Brucella within the host and emphasize the role of nutrient deprivation in gene expression.
Keyphrases
- poor prognosis
- gene expression
- rna seq
- single cell
- dna methylation
- binding protein
- nucleic acid
- genome wide
- long non coding rna
- stem cells
- signaling pathway
- mesenchymal stem cells
- immune response
- wastewater treatment
- copy number
- reactive oxygen species
- microbial community
- artificial intelligence
- antibiotic resistance genes
- data analysis
- anaerobic digestion