Open Access. Powered by Scholars. Published by Universities.®
Immunology and Infectious Disease Commons™
Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 2 of 2
Full-Text Articles in Immunology and Infectious Disease
Positive Selection Drives Preferred Segment Combinations During Influenza Virus Reassortment, Konstantin Zeldovich, Ping Liu, Nicholas Renzette, Matthieu Foll, Serena Pham, Sergey Venev, Glen Gallagher, Daniel Bolon, Evelyn Kurt-Jones, Jeffrey Jensen, Daniel Caffrey, Celia Schiffer, Timothy Kowalik, Jennifer Wang, Robert Finberg
Positive Selection Drives Preferred Segment Combinations During Influenza Virus Reassortment, Konstantin Zeldovich, Ping Liu, Nicholas Renzette, Matthieu Foll, Serena Pham, Sergey Venev, Glen Gallagher, Daniel Bolon, Evelyn Kurt-Jones, Jeffrey Jensen, Daniel Caffrey, Celia Schiffer, Timothy Kowalik, Jennifer Wang, Robert Finberg
Celia A. Schiffer
Influenza A virus (IAV) has a segmented genome that allows for the exchange of genome segments between different strains. This reassortment accelerates evolution by breaking linkage, helping IAV cross species barriers to potentially create highly virulent strains. Challenges associated with monitoring the process of reassortment in molecular detail have limited our understanding of its evolutionary implications. We applied a novel deep sequencing approach with quantitative analysis to assess the in vitro temporal evolution of genomic reassortment in IAV. The combination of H1N1 and H3N2 strains reproducibly generated a new H1N2 strain with the hemagglutinin and nucleoprotein segments originating from H1N1 …
Influenza Virus Drug Resistance: A Time-Sampled Population Genetics Perspective, Matthieu Foll, Yu Poh, Nicholas Renzette, Anna Admetlla, Claudia Bank, Hyunjin Shim, Anna Malaspinas, Gregory Ewing, Ping Liu, Daniel Wegmann, Daniel Caffrey, Konstantin Zeldovich, Daniel Bolon, Jennifer Wang, Timothy Kowalik, Celia Schiffer, Robert Finberg, Jeffrey Jensen
Influenza Virus Drug Resistance: A Time-Sampled Population Genetics Perspective, Matthieu Foll, Yu Poh, Nicholas Renzette, Anna Admetlla, Claudia Bank, Hyunjin Shim, Anna Malaspinas, Gregory Ewing, Ping Liu, Daniel Wegmann, Daniel Caffrey, Konstantin Zeldovich, Daniel Bolon, Jennifer Wang, Timothy Kowalik, Celia Schiffer, Robert Finberg, Jeffrey Jensen
Celia A. Schiffer
The challenge of distinguishing genetic drift from selection remains a central focus of population genetics. Time-sampled data may provide a powerful tool for distinguishing these processes, and we here propose approximate Bayesian, maximum likelihood, and analytical methods for the inference of demography and selection from time course data. Utilizing these novel statistical and computational tools, we evaluate whole-genome datasets of an influenza A H1N1 strain in the presence and absence of oseltamivir (an inhibitor of neuraminidase) collected at thirteen time points. Results reveal a striking consistency amongst the three estimation procedures developed, showing strongly increased selection pressure in the presence …