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Population dynamics of an RNA virus and its defective interfering particles in passage cultures

BACKGROUND: Viruses can fall prey to their defective interfering (DI) particles. When viruses are cultured by serial passage on susceptible host cells, the presence of virus-like DI particles can cause virus populations to rise and fall, reflecting predator-prey interactions between DI and virus par...

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Autores principales: Thompson, Kristen A Stauffer, Yin, John
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2955718/
https://www.ncbi.nlm.nih.gov/pubmed/20920247
http://dx.doi.org/10.1186/1743-422X-7-257
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author Thompson, Kristen A Stauffer
Yin, John
author_facet Thompson, Kristen A Stauffer
Yin, John
author_sort Thompson, Kristen A Stauffer
collection PubMed
description BACKGROUND: Viruses can fall prey to their defective interfering (DI) particles. When viruses are cultured by serial passage on susceptible host cells, the presence of virus-like DI particles can cause virus populations to rise and fall, reflecting predator-prey interactions between DI and virus particles. The levels of virus and DI particles in each population passage can be determined experimentally by plaque and yield-reduction assays, respectively. RESULTS: To better understand DI and virus particle interactions we measured vesicular stomatitis virus and DI particle production during serial-passage culture on BHK cells. When the multiplicity of infection (MOI, or ratio of infectious virus particles to cells) was fixed, virus yields followed a pattern of progressive decline, with higher MOI driving earlier and faster drops in virus level. These patterns of virus decline were consistent with predictions from a mathematical model based on single-passage behavior of cells co-infected with virus and DI particles. By contrast, the production of virus during fixed-volume passages exhibited irregular fluctuations that could not be described by either the steady-state or regular oscillatory dynamics of the model. However, these irregularities were, to a significant degree, reproduced when measured host-cell levels were incorporated into the model, revealing a high sensitivity of virus and DI particle populations to fluctuations in available cell resources. CONCLUSIONS: This study shows how the development of mathematical models, when guided by quantitative experiments, can provide new insight into the dynamic behavior of virus populations.
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spelling pubmed-29557182010-10-18 Population dynamics of an RNA virus and its defective interfering particles in passage cultures Thompson, Kristen A Stauffer Yin, John Virol J Research BACKGROUND: Viruses can fall prey to their defective interfering (DI) particles. When viruses are cultured by serial passage on susceptible host cells, the presence of virus-like DI particles can cause virus populations to rise and fall, reflecting predator-prey interactions between DI and virus particles. The levels of virus and DI particles in each population passage can be determined experimentally by plaque and yield-reduction assays, respectively. RESULTS: To better understand DI and virus particle interactions we measured vesicular stomatitis virus and DI particle production during serial-passage culture on BHK cells. When the multiplicity of infection (MOI, or ratio of infectious virus particles to cells) was fixed, virus yields followed a pattern of progressive decline, with higher MOI driving earlier and faster drops in virus level. These patterns of virus decline were consistent with predictions from a mathematical model based on single-passage behavior of cells co-infected with virus and DI particles. By contrast, the production of virus during fixed-volume passages exhibited irregular fluctuations that could not be described by either the steady-state or regular oscillatory dynamics of the model. However, these irregularities were, to a significant degree, reproduced when measured host-cell levels were incorporated into the model, revealing a high sensitivity of virus and DI particle populations to fluctuations in available cell resources. CONCLUSIONS: This study shows how the development of mathematical models, when guided by quantitative experiments, can provide new insight into the dynamic behavior of virus populations. BioMed Central 2010-09-29 /pmc/articles/PMC2955718/ /pubmed/20920247 http://dx.doi.org/10.1186/1743-422X-7-257 Text en Copyright ©2010 Thompson and Yin; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Thompson, Kristen A Stauffer
Yin, John
Population dynamics of an RNA virus and its defective interfering particles in passage cultures
title Population dynamics of an RNA virus and its defective interfering particles in passage cultures
title_full Population dynamics of an RNA virus and its defective interfering particles in passage cultures
title_fullStr Population dynamics of an RNA virus and its defective interfering particles in passage cultures
title_full_unstemmed Population dynamics of an RNA virus and its defective interfering particles in passage cultures
title_short Population dynamics of an RNA virus and its defective interfering particles in passage cultures
title_sort population dynamics of an rna virus and its defective interfering particles in passage cultures
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2955718/
https://www.ncbi.nlm.nih.gov/pubmed/20920247
http://dx.doi.org/10.1186/1743-422X-7-257
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