SHORTREED,B., HINSON, A., NISSIMOV, J. and TALMY, D. Modeling the Kinetics of Emililania huxleyiI CCMP 274 and Coccolithovirus EhV207 Under Changing Phosphate Conditions. Department of Microbiology, U
Mentor 1
David Talmy
Location
Union Wisconsin Room
Start Date
5-4-2019 1:30 PM
End Date
5-4-2019 3:30 PM
Description
Relatively little is known about the kinetics behind viral infection even though marine viruses impact oceanic biogeochemical cycles. We developed a mathematical model of Emiliania huxleyi CCMP 374 infected by EhVs under changing phosphorus conditions. The model has six parameters that represent host growth rate, clearance rate, lysis rate, burst size, viral decay, and chronic release. Model parameters were optimized to experimental population data using the Metropolis-Hastings algorithm. When grown under phosphorus-limited conditions, hosts grow at comparable rates whether infected or uninfected. It is speculated that host growth is similar under these conditions because without enough phosphorus available, viruses are defective and cannot inhibit the growth of their host due to virus’ large nucleic acid, and thus phosphorus, requirements. The addition of a chronic release parameter also significantly increases the accuracy of our model fit, which before the inclusion, underpredicted viral concentrations. This translates to a hypothesis that viral particles are escaping their host early in the infection process. Thus, through the modeling of this host/virus interaction, one can gain more detailed insight into the dynamics of viral infection.
SHORTREED,B., HINSON, A., NISSIMOV, J. and TALMY, D. Modeling the Kinetics of Emililania huxleyiI CCMP 274 and Coccolithovirus EhV207 Under Changing Phosphate Conditions. Department of Microbiology, U
Union Wisconsin Room
Relatively little is known about the kinetics behind viral infection even though marine viruses impact oceanic biogeochemical cycles. We developed a mathematical model of Emiliania huxleyi CCMP 374 infected by EhVs under changing phosphorus conditions. The model has six parameters that represent host growth rate, clearance rate, lysis rate, burst size, viral decay, and chronic release. Model parameters were optimized to experimental population data using the Metropolis-Hastings algorithm. When grown under phosphorus-limited conditions, hosts grow at comparable rates whether infected or uninfected. It is speculated that host growth is similar under these conditions because without enough phosphorus available, viruses are defective and cannot inhibit the growth of their host due to virus’ large nucleic acid, and thus phosphorus, requirements. The addition of a chronic release parameter also significantly increases the accuracy of our model fit, which before the inclusion, underpredicted viral concentrations. This translates to a hypothesis that viral particles are escaping their host early in the infection process. Thus, through the modeling of this host/virus interaction, one can gain more detailed insight into the dynamics of viral infection.
