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A Deterministic Model for Understanding Nonlinear Viral Dynamics in Oysters.

Qubin Qin1, Jian Shen1, Kimberly S Reece1

  • 1Virginia Institute of Marine Science, William & Mary, Gloucester Point, Virginia, USA.

Applied and Environmental Microbiology
|March 29, 2022
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A new mathematical model explains how viruses behave in oysters, improving predictions for oyster health and food safety. This framework helps manage viral outbreaks and understand virus-oyster interactions.

Keywords:
NoVOsHV-1depurationin-hostmarine diseasemodelingoutbreaksvirus-oyster interaction

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Area of Science:

  • Marine biology and virology
  • Mathematical modeling of biological systems
  • Food safety and public health

Background:

  • Oyster contamination by viruses causes mortality and human illness.
  • Current understanding of virus-oyster interactions is limited by narrow experimental conditions.
  • A comprehensive framework is needed to describe complex, nonlinear virus-oyster dynamics.

Purpose of the Study:

  • To introduce a mathematical model for in-host viral dynamics in oysters.
  • To simulate viral behavior for both replicating and non-replicating viruses in oysters.
  • To provide a framework for predicting and managing viral outbreaks in oysters.

Main Methods:

  • Developed a process-based mathematical model.
  • Included key processes: oyster filtration, viral replication, immune response, apoptosis, autophagy, and selective accumulation.
  • Evaluated model performance for ostreid herpesvirus and norovirus.

Main Results:

  • The model accurately simulates viral dynamics for both replicating and non-replicating viruses.
  • Model predictions align with experimental findings and explain nonlinear effects.
  • Identified that higher temperatures may increase oyster resistance to certain viruses.
  • Depuration effectiveness for norovirus depends on oyster filtration rates.

Conclusions:

  • The developed model provides a foundation for predicting and managing viral outbreaks in oysters.
  • The framework enhances communication between disciplines studying virus-oyster interactions.
  • This approach guides future research and improves food safety strategies.