Nucleic Acids ResearchBiophysicsPeer-reviewed journal article
Dynamic ensembles of SARS-CoV-2 N-protein reveal head-to-head coiled-coil-driven oligomerization and phase separation
Guillem HernándeziD, Maria L. MartinsiD, Nuno P. FernandesiD, Tiago Veloso, João Lopes, Tiago GomesiD, Tiago N. CordeiroiD
Abstract
The SARS-CoV-2 nucleocapsid (N) protein is essential for the viral lifecycle, facilitating RNA packaging, replication, and host-cell interactions. Its ability to self-assemble and undergo liquid-liquid phase separation (LLPS) is critical for these functions but remains poorly understood. Using an integrated approach combining small-angle X-ray scattering (SAXS), nuclear magnetic resonance (NMR) spectroscopy, computational modeling, and biophysical assays, we uncover key mechanisms underpinning N-proteins dynamic self-assembly. We show that the N-proteins interdomain linker (IDL) contains a conserved coiled-coil (CC) motif that drives transient interactions between protein subunits, enabling the formation of progressively larger complexes at higher concentrations. SAXS analysis and ensemble modeling reveal that the IDL exists in a concentration-dependent equilibrium between monomeric, dimeric, and trimeric states. The CC motif facilitates parallel, head-to-head oligomerization of N-protein dimers, transitioning between compact (closed) and extended (open) configurations depending on the interaction network within the IDL. This linker-driven assembly modulates LLPS, impacting the size, stability, and dynamics of biomolecular condensates. Here, we present the most comprehensive conformational landscape analysis of the N-protein to date, providing a detailed model of its self-assembly and LLPS. Our findings highlight how the structural plasticity of the IDL and CC-mediated interactions are pivotal to its roles in the SARS-CoV-2 lifecycle.
- organism: virus
- assay: protein structure
- research focus: protein folding & dynamics
- approach: experimental assay
- approach: biophysical modeling
- Citations
- 12
- FWCI
- 8.01
- Field percentile
- top 2%
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