Production of Defective Interfering Particles of Influenza A Virus in Parallel Continuous Cultures at Two Residence Times—Insights From qPCR Measurements and Viral Dynamics Modeling

Defective interfering particles (DIPs) are a natural byproduct of influenza A virus (IAV) replication. DIPs interfere with the propagation and spread of infectious standard virus (STV), reduce virus yields by competing for viral and cellular resources, and induce antiviral responses. These propertie...

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Main Authors: Felipe Tapia, Tanja Laske, Milena A. Wasik, Markus Rammhold, Yvonne Genzel, Udo Reichl
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-10-01
Series:Frontiers in Bioengineering and Biotechnology
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fbioe.2019.00275/full
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author Felipe Tapia
Tanja Laske
Milena A. Wasik
Markus Rammhold
Yvonne Genzel
Udo Reichl
Udo Reichl
author_facet Felipe Tapia
Tanja Laske
Milena A. Wasik
Markus Rammhold
Yvonne Genzel
Udo Reichl
Udo Reichl
author_sort Felipe Tapia
collection DOAJ
description Defective interfering particles (DIPs) are a natural byproduct of influenza A virus (IAV) replication. DIPs interfere with the propagation and spread of infectious standard virus (STV), reduce virus yields by competing for viral and cellular resources, and induce antiviral responses. These properties open exciting possibilities for the development of DIP-based antivirals. Exploring options for cell culture-based DIP production, we have established a fully continuous cultivation process, where one bioreactor is used to grow cells that are fed to two bioreactors operated in parallel for virus production. This system allows head-to-head comparisons of STV and DIP replication dynamics over extended time periods. Cultivations were performed at two residence times (RT, 22 and 36 h) using MDCK suspension cells grown in a fully defined medium. For infection, we used a virus seed generated by reverse genetics containing STVs and a known DIP carrying a deletion in segment 1 (delS1(1)). Four days post infection, DIPs achieved maximum concentrations of 7.0·109 virions/mL and 8.4·109 virions/mL for RTs of 22 and 36 h, respectively. Furthermore, oscillations in virus titers with two to three maxima were found for DIP accumulation at 36 and 22 h RT, respectively. To complement the study, a basic mathematical model using simple kinetics and a reasonable number of parameters to describe DIP-propagation in continuous cultures was established. Upon fitting the model individually to each of the two data sets, oscillations in the viral dynamics and the cell population dynamics were described well. Modeling suggests that both STV inactivation and virus degradation have to be taken into account to achieve good agreement of simulations and experimental data for longer RTs. Together, the high DIP titers obtained, and the successful simulation of the experimental data showed that the combination of continuous bioreactors and mathematical models can enable studies regarding DIP dynamics over extended time periods and allow large scale manufacturing of DIP-based antivirals.
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spelling doaj.art-cc491928cb314e5795501d25ff51ca992022-12-21T23:42:43ZengFrontiers Media S.A.Frontiers in Bioengineering and Biotechnology2296-41852019-10-01710.3389/fbioe.2019.00275484334Production of Defective Interfering Particles of Influenza A Virus in Parallel Continuous Cultures at Two Residence Times—Insights From qPCR Measurements and Viral Dynamics ModelingFelipe Tapia0Tanja Laske1Milena A. Wasik2Markus Rammhold3Yvonne Genzel4Udo Reichl5Udo Reichl6Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, GermanyMax Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, GermanyMax Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, GermanyMax Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, GermanyMax Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, GermanyMax Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, GermanyChair for Bioprocess Engineering, Otto-von-Guericke-University Magdeburg, Magdeburg, GermanyDefective interfering particles (DIPs) are a natural byproduct of influenza A virus (IAV) replication. DIPs interfere with the propagation and spread of infectious standard virus (STV), reduce virus yields by competing for viral and cellular resources, and induce antiviral responses. These properties open exciting possibilities for the development of DIP-based antivirals. Exploring options for cell culture-based DIP production, we have established a fully continuous cultivation process, where one bioreactor is used to grow cells that are fed to two bioreactors operated in parallel for virus production. This system allows head-to-head comparisons of STV and DIP replication dynamics over extended time periods. Cultivations were performed at two residence times (RT, 22 and 36 h) using MDCK suspension cells grown in a fully defined medium. For infection, we used a virus seed generated by reverse genetics containing STVs and a known DIP carrying a deletion in segment 1 (delS1(1)). Four days post infection, DIPs achieved maximum concentrations of 7.0·109 virions/mL and 8.4·109 virions/mL for RTs of 22 and 36 h, respectively. Furthermore, oscillations in virus titers with two to three maxima were found for DIP accumulation at 36 and 22 h RT, respectively. To complement the study, a basic mathematical model using simple kinetics and a reasonable number of parameters to describe DIP-propagation in continuous cultures was established. Upon fitting the model individually to each of the two data sets, oscillations in the viral dynamics and the cell population dynamics were described well. Modeling suggests that both STV inactivation and virus degradation have to be taken into account to achieve good agreement of simulations and experimental data for longer RTs. Together, the high DIP titers obtained, and the successful simulation of the experimental data showed that the combination of continuous bioreactors and mathematical models can enable studies regarding DIP dynamics over extended time periods and allow large scale manufacturing of DIP-based antivirals.https://www.frontiersin.org/article/10.3389/fbioe.2019.00275/fullinfluenza A viruscontinuous virus productionsuspension MDCK cellsdefective interfering particlesmathematical modelvirus evolution
spellingShingle Felipe Tapia
Tanja Laske
Milena A. Wasik
Markus Rammhold
Yvonne Genzel
Udo Reichl
Udo Reichl
Production of Defective Interfering Particles of Influenza A Virus in Parallel Continuous Cultures at Two Residence Times—Insights From qPCR Measurements and Viral Dynamics Modeling
Frontiers in Bioengineering and Biotechnology
influenza A virus
continuous virus production
suspension MDCK cells
defective interfering particles
mathematical model
virus evolution
title Production of Defective Interfering Particles of Influenza A Virus in Parallel Continuous Cultures at Two Residence Times—Insights From qPCR Measurements and Viral Dynamics Modeling
title_full Production of Defective Interfering Particles of Influenza A Virus in Parallel Continuous Cultures at Two Residence Times—Insights From qPCR Measurements and Viral Dynamics Modeling
title_fullStr Production of Defective Interfering Particles of Influenza A Virus in Parallel Continuous Cultures at Two Residence Times—Insights From qPCR Measurements and Viral Dynamics Modeling
title_full_unstemmed Production of Defective Interfering Particles of Influenza A Virus in Parallel Continuous Cultures at Two Residence Times—Insights From qPCR Measurements and Viral Dynamics Modeling
title_short Production of Defective Interfering Particles of Influenza A Virus in Parallel Continuous Cultures at Two Residence Times—Insights From qPCR Measurements and Viral Dynamics Modeling
title_sort production of defective interfering particles of influenza a virus in parallel continuous cultures at two residence times insights from qpcr measurements and viral dynamics modeling
topic influenza A virus
continuous virus production
suspension MDCK cells
defective interfering particles
mathematical model
virus evolution
url https://www.frontiersin.org/article/10.3389/fbioe.2019.00275/full
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