
Since their discovery, giant viruses have expanded our understanding of the principles of virology. Due to their gargantuan size and complexity, little is known about the life cycles of these viruses. To answer outstanding questions regarding giant virus infection mechanisms, we set out to determine biomolecular conditions that promote giant virus genome release. We generated four infection intermediates in Samba virus (Mimivirus genus, lineage A) as visualized by cryoelectron microscopy (cryo-EM), cryoelectron tomography (cryo-ET), and scanning electron microscopy (SEM). Each of these four intermediates reflects similar morphology to a stage that occurs in vivo. We show that these genome release stages are conserved in other mimiviruses. Finally, we identified proteins that are released from Samba and newly discovered Tupanvirus through differential mass spectrometry. Our work revealed the molecular forces that trigger infection are conserved among disparate giant viruses. This study is also the first to identify specific proteins released during the initial stages of giant virus infection.
Proteomics, Capsid, Virus Diseases, Giant Viruses, Virus Assembly, Viruses, DNA Viruses, Genome, Viral
Proteomics, Capsid, Virus Diseases, Giant Viruses, Virus Assembly, Viruses, DNA Viruses, Genome, Viral
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 56 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
