The analysis of the genomes of two lineages of influenza B virus (Victoria and Yamagata) reveal that their phylodynamics are fundamentally different, and are determined by a complex relationship between virus transmission, age of infection and receptor binding preference.
A model of pathogen co-evolving with host population continuously acquiring immunity is used to identify evolutionary parameters allowing pathogen population to persist without going extinct or splitting into independent lineages.
Predicting the pandemic potential of influenza viruses from genetic sequence data could transform pandemic risk assessment but progress towards this goal will require the integration of experimental work, computational tools, and virus surveillance.
A new analysis algorithm (DISC) enables accurate analysis of data from high-throughput single-molecule paradigms and reveals a non-cooperative binding mechanism of cyclic nucleotide-binding domains from HCN ion channels.
Human mobility drives malaria importation within countries and threatens elimination interventions, but can be measured using new approaches that combine parasite genetics, mobile phone data, travel surveys and models.