Cargando…

Modeling the dynamics and kinetics of HIV-1 Gag during viral assembly

We report a computational model for the assembly of HIV-1 Gag into immature viral particles at the plasma membrane. To reproduce experimental structural and kinetic properties of assembly, a process occurring on the order of minutes, a coarse-grained representation consisting of a single particle pe...

Descripción completa

Detalles Bibliográficos
Autores principales: Tomasini, Michael D., Johnson, Daniel S., Mincer, Joshua S., Simon, Sanford M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5909904/
https://www.ncbi.nlm.nih.gov/pubmed/29677208
http://dx.doi.org/10.1371/journal.pone.0196133
_version_ 1783315969537474560
author Tomasini, Michael D.
Johnson, Daniel S.
Mincer, Joshua S.
Simon, Sanford M.
author_facet Tomasini, Michael D.
Johnson, Daniel S.
Mincer, Joshua S.
Simon, Sanford M.
author_sort Tomasini, Michael D.
collection PubMed
description We report a computational model for the assembly of HIV-1 Gag into immature viral particles at the plasma membrane. To reproduce experimental structural and kinetic properties of assembly, a process occurring on the order of minutes, a coarse-grained representation consisting of a single particle per Gag molecule is developed. The model uses information relating the functional interfaces implicated in Gag assembly, results from cryo electron-tomography, and biophysical measurements from fluorescence microscopy, such as the dynamics of Gag assembly at single virions. These experimental constraints eliminated many classes of potential interactions, and narrowed the model to a single interaction scheme with two non-equivalent interfaces acting to form Gags into a hexamer, and a third interface acting to link hexamers together. This model was able to form into a hexameric structure with correct lattice spacing and reproduced biologically relevant growth rates. We explored the effect of genomic RNA seeding punctum growth, finding that RNA may be a factor in locally concentrating Gags to initiate assembly. The simulation results infer that completion of assembly cannot be governed simply by Gag binding kinetics. However the addition of membrane curvature suggests that budding of the virion from the plasma membrane could factor into slowing incorporation of Gag at an assembly site resulting in virions of the same size and number of Gag molecules independent of Gag concentration or the time taken to complete assembly. To corroborate the results of our simulation model, we developed an analytic model for Gag assembly finding good agreement with the simulation results.
format Online
Article
Text
id pubmed-5909904
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-59099042018-05-05 Modeling the dynamics and kinetics of HIV-1 Gag during viral assembly Tomasini, Michael D. Johnson, Daniel S. Mincer, Joshua S. Simon, Sanford M. PLoS One Research Article We report a computational model for the assembly of HIV-1 Gag into immature viral particles at the plasma membrane. To reproduce experimental structural and kinetic properties of assembly, a process occurring on the order of minutes, a coarse-grained representation consisting of a single particle per Gag molecule is developed. The model uses information relating the functional interfaces implicated in Gag assembly, results from cryo electron-tomography, and biophysical measurements from fluorescence microscopy, such as the dynamics of Gag assembly at single virions. These experimental constraints eliminated many classes of potential interactions, and narrowed the model to a single interaction scheme with two non-equivalent interfaces acting to form Gags into a hexamer, and a third interface acting to link hexamers together. This model was able to form into a hexameric structure with correct lattice spacing and reproduced biologically relevant growth rates. We explored the effect of genomic RNA seeding punctum growth, finding that RNA may be a factor in locally concentrating Gags to initiate assembly. The simulation results infer that completion of assembly cannot be governed simply by Gag binding kinetics. However the addition of membrane curvature suggests that budding of the virion from the plasma membrane could factor into slowing incorporation of Gag at an assembly site resulting in virions of the same size and number of Gag molecules independent of Gag concentration or the time taken to complete assembly. To corroborate the results of our simulation model, we developed an analytic model for Gag assembly finding good agreement with the simulation results. Public Library of Science 2018-04-20 /pmc/articles/PMC5909904/ /pubmed/29677208 http://dx.doi.org/10.1371/journal.pone.0196133 Text en © 2018 Tomasini et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Tomasini, Michael D.
Johnson, Daniel S.
Mincer, Joshua S.
Simon, Sanford M.
Modeling the dynamics and kinetics of HIV-1 Gag during viral assembly
title Modeling the dynamics and kinetics of HIV-1 Gag during viral assembly
title_full Modeling the dynamics and kinetics of HIV-1 Gag during viral assembly
title_fullStr Modeling the dynamics and kinetics of HIV-1 Gag during viral assembly
title_full_unstemmed Modeling the dynamics and kinetics of HIV-1 Gag during viral assembly
title_short Modeling the dynamics and kinetics of HIV-1 Gag during viral assembly
title_sort modeling the dynamics and kinetics of hiv-1 gag during viral assembly
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5909904/
https://www.ncbi.nlm.nih.gov/pubmed/29677208
http://dx.doi.org/10.1371/journal.pone.0196133
work_keys_str_mv AT tomasinimichaeld modelingthedynamicsandkineticsofhiv1gagduringviralassembly
AT johnsondaniels modelingthedynamicsandkineticsofhiv1gagduringviralassembly
AT mincerjoshuas modelingthedynamicsandkineticsofhiv1gagduringviralassembly
AT simonsanfordm modelingthedynamicsandkineticsofhiv1gagduringviralassembly