We develop a Flory mean-field theory for viral RNA (vRNA) molecules that extends the current RNA folding algorithms to include interactions between different sections of the secondary structure. The theory is applied to sequence-selective vRNA encapsidation. The dependence on sequence enters through a single parameter: the largest eigenvalue of the Kramers matrix of the branched polymer obtained by coarse graining the secondary structure. Differences between the work of encapsidation of vRNA molecules and of randomized isomers are found to be in the range of 20 kBT, more than sufficient to provide a strong bias in favor of vRNA encapsidation. The method is applied to a packaging competition experiment where large vRNA molecules compete for encapsidation with two smaller RNA species that together have the same nucleotide sequence as the large molecule. We encounter a substantial, generic free energy bias, that also is of the order of 20 kBT, in favor of encapsidating the single large RNA molecule. The bias is mainly the consequence of the fact that dividing up a large vRNA molecule involves the release of stored elastic energy. This provides an important, nonspecific mechanism for preferential encapsidation of single larger vRNA molecules over multiple smaller mRNA molecules with the same total number of nucleotides. The result is also consistent with recent RNA packaging competition experiments by Comas-Garcia et al.1 Finally, the Flory method leads to the result that when two RNA molecules are copackaged, they are expected to remain segregated inside the capsid.
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http://dx.doi.org/10.1021/acs.jpcb.6b01964 | DOI Listing |
Mol Cell
December 2024
MRC, University of Glasgow Centre for Virus Research, Glasgow G61 1QH, Scotland, UK. Electronic address:
RNA is a central molecule for viruses; however, the interactions that viral RNA (vRNA) establishes with the host cell is only starting to be elucidated. Here, we determine the ribonucleoprotein (RNP) composition of the prototypical arthropod-borne Sindbis virus (SINV). We show that SINV RNAs engage with hundreds of cellular proteins, including a group of nuclear RNA-binding proteins (RBPs) with unknown roles in infection.
View Article and Find Full Text PDFWiley Interdiscip Rev RNA
November 2024
School of Biological Sciences, Amity University, Punjab, India.
Influenza viruses (types A, B, C, and D) belong to the family orthomyxoviridae. Out of all the influenza types, influenza A virus (IAV) causes human pandemic outbreaks. Its pandemic potential is predominantly attributed to the genetic reassortment favored by a broad spectrum of host species that could lead to an antigenic shift along with a high rate of mutations in its genome, presenting a possibility of subtypes with heightened pathogenesis and virulence in humans (antigenic drift).
View Article and Find Full Text PDFViruses
September 2024
HIV Dynamics and Replication Program, National Cancer Institute, Frederick, MD 21702, USA.
During HIV-1 virus assembly, the genomic RNA (vRNA) is selected for packaging by the viral protein Gag because it contains a specific packaging signal, Psi. While there have been numerous studies of Gag-Psi interactions, there is almost no information on the kinetic aspects of this interaction. We investigated the kinetics of Gag binding to different RNAs using switchSENSE DRX technology.
View Article and Find Full Text PDFDaru
December 2024
Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Selangor, Malaysia.
Mol Cell
October 2024
Molecular Systems Biology Unit, European Molecular Biology Laboratory (EMBL) Heidelberg, 69117 Heidelberg, Germany; Department of Biochemistry IV, Biophysical Chemistry, University of Bayreuth, 95447 Bayreuth, Germany.
RNA is a central molecule in RNA virus biology; however, the interactions that it establishes with the host cell are only starting to be elucidated. In recent years, a methodology revolution has dramatically expanded the scope of host-virus interactions involving the viral RNA (vRNA). A second wave of method development has enabled the precise study of these protein-vRNA interactions in a life cycle stage-dependent manner, as well as providing insights into the interactome of specific vRNA species.
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