Plasmid-encoded host reprogramming promotes plasmid dissemination
Virolle, C.; Ferrarin, S.; Panis, G.; Baffert, Y.; Dedieu-Berne, A.; Guerin, J.; Cayron, J.; Traore, D. A.; Martinez-Absalon, S.; Zenati, R.; Delolme, F.; Page, A.; Bigot, S.; yamaichi, y.; Lopatkin, A. J.; Viollier, P. H.; Burstein, D.; Terradot, L.; Lesterlin, C.
Show abstract
Conjugative plasmids are major drivers of antibiotic resistance dissemination, yet how newly transferred plasmids establish in recipient cells remains poorly understood. Here we investigate YfjB, a previously uncharacterized conserved leading-region protein, which is zygotically induced immediately after plasmid entry and acts specifically during the earliest post-transfer stages. Multi-omics analyses reveal that YfjB reprograms host transcription, triggering extensive metabolic rewiring that compensates for the transient fitness cost of plasmid acquisition. Structural analyses show that YfjB is a ParB-like protein containing a CTP-binding domain and a helix-turn-helix DNA-binding motif, linked to a previously uncharacterized dimerization module that forms a V-shaped clamp-like architecture compatible with DNA loading. Consistently, live-cell imaging reveals nucleoid-associated foci in transconjugants, and ChIP-seq identifies multiple chromosomal binding sites. We therefore rename the protein HerB (Host Expression Reprogrammer, ParB-like). More broadly, our findings reveal how mobile genetic elements facilitate their dissemination by transiently subverting host physiology.
Matching journals
The top 2 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
Similar papers in this journal
- Cytoplasmic contractile injection systems mediate cell death in Streptomyces 98%
- Molecular model of a bacterial flagellar motor in situ reveals a "parts-list" of protein adaptations to increase torque 98%
- Entropy-driven translocation of disordered proteins through the Gram-positive bacterial cell wall 98%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.