How Viruses and Virus-like Nanoparticles Can Release Their
Cargo/Genome
Lukáš Sukeník1,3, Liya Mukhamedova1,
Michaela Procházková1, Karel Škubník1, Pavel Plevka1,
and Robert Vácha1,2,3
1Central European
Institute of Technology (CEITEC), Faculty of Science, Masaryk University,
Kamenice 735/5, Brno, Czech Republic
2National Centre for
Biomolecular Research, Faculty of Science, Masaryk University,
Kamenice 735/5, Brno, Czech Republic
3Department of
Condensed Matter Physics, Faculty of Science, Masaryk University,
Kotlářská 267/2, Brno, Czech Republic
robert.vacha@mail.muni.cz
Viruses and
virus-like nanoparticles both aim to deliver their content into a cell.
Unfortunately, the necessary capsid properties enabling cargo/genome release
and the release mechanism itself remains elusive. We combine in vitro cryo-EM
experiments with coarse-grained simulations to demonstrate that the
cargo/genome can be released in various pathways, including a slow release via
small pores in the capsid and a rapid release when the capsid cracks open [1,2,3]. The main capsid property
determining the release pathway is the interaction range between capsid
subunits. The release success rate depends on the cargo/genome properties, but
in general, the rapid release is more successful. These findings indicate how
to affect and design the release of cargo/genome from viruses and virus-like
nanoparticles.

Figure 1. Two types of
genome release from non-enveloped RNA virus: a slow release via small pore in
the capsid (left) and a rapid release when the capsid cracks open (right).
1. D. Buchta, T. Füzik, D. Hrebík, Y. Levdansky, L.
Sukeník, L. Mukhamedova, J. Moravcová, R. Vácha, P. Plevka, Nature
Communications, 10, (2019), 1138
2. K. Škubník, L. Sukeník, D. Buchta, T. Füzik, M.
Procházková, J. Moravcová, L. Šmerdová, A. Přidal, R. Vácha, P. Plevka, Science
Advances 7 (1), (2021), eabd7130.
3. L. Sukeník, L. Mukhamedova, M. Procházková, K. Škubník,
P. Plevka, R. Vácha, ACS Nano 15(12), (2021), 19233–19243.
The work of was supported by Czech Science Foundation
project no. GA20-20152S and GX19-25982X, MEYS CR via LL2007 project under the
ERC CZ program, and the European Research Council (ERC) under the European
Union’s Horizon 2020 research and innovation programme (grant agreement No
101001470). Computational resources were provided by CESNET LM2015042 and CERIT
Scientific Cloud LM2015085, provided under the program Projects of Large
Research, Development, and Innovations Infrastructures. Additional
computational resources were obtained from the IT4 Innovations National
Supercomputing Center -- project LM2015070 supported by MEYS CR from the Large
Infrastructures for Research, Experimental Development and Innovations. We
gratefully acknowledge the Cryo-EM core facility CEITEC MU of CIISB (CEMCOF),
and the Instruct-CZ Centre supported by MEYS CR (LM2018127).