bioRxivMicrobiology
Helical Ordering of Envelope Associated Proteins and Glycoproteins in Respiratory Syncytial Virus Filamentous Virions
M. J. Conley, J. M. Short, J. Hutchings, A. M. Burns, J. Streetley, S. E. Bakker, H. Jaffery, M. Stewart, B. J. Power, G. Zanetti, R. Fearns, S. Vijayakrishnan, D. Bhella
Abstract
Human respiratory syncytial virus (RSV) causes severe respiratory illness in children and the elderly. Treatments for RSV disease are however limited and efforts to produce an effective vaccine have so far been unsuccessful. Understanding RSV virion structure is an important prerequisite for developing interventions to treat or prevent infection but has been challenging because of the fragility of virions propagated in cell culture. Here we show, using cryogenic electron microscopy (cryoEM) and cryogenic electron tomography (cryoET) of RSV particles cultivated directly on transmission electron microscopy (TEM) grids, that there is extensive helical symmetry in RSV filamentous virions. We have calculated a 16 [A] resolution three-dimensional reconstruction of the viral envelope, targeting the matrix protein (M) that forms an endoskeleton below the viral membrane. These data define a helical lattice of M proteins, showing how M is oriented relative to the viral envelope and that helical ordering of viral glycoproteins that stud the viral envelope is coordinated by the M layer. Moreover, the helically ordered viral glycoproteins in RSV filamentous virions cluster in pairs, which may have implications for the conformation of fusion (F) glycoprotein epitopes that are the principal target for vaccine and monoclonal antibody development. We also report the presence, in authentic virus infections, of N-RNA rings packaged within RSV filamentous virions. Overall, the structural data obtained provides molecular insight into the organization of the virion and the mechanism of its assembly.
- organism: human
- assay: cryo-EM
- research focus: protein folding & dynamics
- research focus: host-pathogen & immune response
- approach: microscopy & imaging analysis
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