Abstract

The molecular mechanisms by which RNA viruses coordinate their transcriptional activities are not fully understood. For rotavirus, an important pediatric gastroenteric pathogen, transcription occurs within a double-layered particle that encloses the viral genome. To date, there remains very little structural information available for actively-transcribing rotavirus double-layered particles, which could provide new insights for antiviral development. To improve our vision of these viral assemblies, we developed a new combinatorial strategy that utilizes currently available high-resolution image processing tools. First, we employed a 3D classification routine that allowed us to sort transcriptionally-active rotavirus assemblies on the basis of their internal density. Next, we implemented an additional 3D refinement procedure using the most active class of DLPs. For comparison, the refined structures were computed in parallel by (1) enforcing icosahedral symmetry, and by (2) using no symmetry operators. Comparing the resulting structures, we were able to visualize the continuum that exists between viral capsid proteins and the viral RNA for the first time.

Highlights

  • RNA viruses are ubiquitous in nature and represent some of the most severe pathogens known to mankind

  • Viral transcripts are recognized by host cell ribosomes and act as functional templates for protein synthesis (Figure 1A) [5]

  • To expand upon our previous findings of transcriptionally-active RV double-layered particles (DLPs), we implemented a new computing protocol to better visualize the dynamic nature of these complexes

Read more

Summary

Introduction

RNA viruses are ubiquitous in nature and represent some of the most severe pathogens known to mankind (e.g. influenza A virus, Ebola virus, poliovirus, etc.). Upon inspecting the individual DLP assemblies that represented the active structures, we found greater quantities of mRNA surrounded the particles (Figures 1B and 1C, Class 3).

Results
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.