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In Singulo Probing of Viral RNA Dynamics by Multichromophore Fluorescence Dequenching
journal contribution
posted on 2014-12-11, 00:00 authored by Virginia
M. Smith, Bogdan DragneaCurrent understanding of virus life-cycle
states and transitions
between them is mainly built on knowledge of the protein shell structure
encapsulating the genome. Little is known about the genome fate during
viral transitions. Here, changes in the fluorescence rate from multilabeled
transcript viral RNAs encapsulated in Brome mosaic virus capsids were
examined as a function of the RNA state. A simple kinetic model relating
chain compactness to single-molecule fluorescence emission suggests
that in a dense multichromophore system the rate of energy transfer
should scale with distance more gradually than the rate of the Förster
energy transfer between two chromophores, which varies sharply as
the reciprocal of distance to the sixth power. As a proof-of-principle
experiment, we have compared predictions from a numerical model for
confined diffusive motion with the fluorescence emission from virus-encapsulated
and free single RNA molecules decorated with multiple cyanine dyes
and encapsulated inside microscopic emulsion droplets. We found that
the effective quantum yield per labeled particle depends on the expansion
state, in agreement with theoretical predictions. Since fluorescence
single particle tracking is now a well-established methodology for
the study of virus life cycle, the findings reported here may pave
the way toward reducing the existing gap between in vitro and cellular in singulo studies of the fates of
viral RNA.
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Brome mosaic virus capsidsRNA moleculesViral RNA Dynamicsmultichromophore systempredictionRNA statemultilabeled transcriptdiffusive motionvirus life cyclechain compactnesssingulo studiesexpansion stateMultichromophore Fluorescence DequenchingCurrent understandingfluorescence emissionemulsion dropletsRNAs encapsulatedtransitioncyanine dyesgenome fateenergy transferfluorescence rateprotein shell structure encapsulatingmodel
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