Back

Subcellular reorganization upon phage infection reveals stepwise assembly of viral particles from membrane-associated precursors

Corroyer-Dulmont, S.; Labarde, A.; Prazak, V.; Godinho, L.; Masson, C.; Legrand, P.; Gruenewald, K.; Tavares, P.; Quemin, E.

2025-06-16 cell biology
10.1101/2025.06.15.659807 bioRxiv
Show abstract

Summary paragraphViruses are obligate intracellular parasites and viral infections lead to massive host cell rearrangement to support the rapid generation of progeny. Host take-over and remodelling include formation of viral-induced compartments for viral genome replication and/or assembly. While viruses infecting bacteria, bacteriophages or phages, have been extensively characterized in vitro, the molecular mechanisms underlying the viral cycle inside the crowded cytoplasm remain unclear. Here, we investigate the spatial reorganization of SPP1-infected bacteria under near-native conditions by electron cryo tomography. The most prominent feature is the formation of a large viral DNA (vDNA) compartment from which ribosomes are excluded. In SPP1 infection, there is no membrane nor proteinaceous shell surrounding these compartments. Also, we identified novel key intermediates in virus assembly: open precursors of procapsid lattice were found at the cytoplasmic membrane in a process that requires expression of the portal protein. Next, DNA-free procapsids relocate inside the vDNA compartment where vDNA is packed in a stepwise manner. Finally, DNA-filled capsids segregate to the periphery of the compartment for assembly completion and storage. Collectively, we provide comprehensive mechanistic insights into the complete viral assembly pathway of SPP1 directly in cellula and show how specific steps are coordinated inside the reorganized bacterial cell.

Published in Nature Communications (predicted rank #2) · training set

Matching journals

The top 2 journals account for 50% of the predicted probability mass.

50% of probability mass above

"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.