# Mechanisms of influenza transmission bottlenecks: impact on viral evolution > **NIH NIH R01** · UNIVERSITY OF WISCONSIN-MADISON · 2020 · $659,143 ## Abstract Project summary/abstract Influenza viruses emerge unpredictably from their reservoirs in aquatic birds to cause pandemics in humans. The processes by which avian influenza viruses adapt to replication and transmission in mammals has been the subject of intense study, with much work focused on identifying specific molecular determinants that con- fer mammalian-transmissible phenotypes. Dr. Friedrich’s group uses deep sequencing to focus not on specific mutations, but rather on the evolutionary processes by which host-adapting changes in influenza viruses are generated and selected. This work has shown that natural selection on hemagglutinin (HA) can impose a significant genetic bottleneck on avian influenza viruses during transmission between mammals. In parallel, Dr. Mehle’s group developed a novel bioluminescent reporter virus that allows for direct in-vivo imag- ing of influenza replication in ferrets. This work revealed that airborne transmission can result in infection of distinct respiratory tract compartments in different animals. Such localized replication suggests that airborne transmission is subject to physical constraints that could act to randomly reduce viral genetic diver- sity. Indeed, it has become clear that airborne transmission of influenza viruses is associated with a genetic bottleneck, a previously unappreciated determinant of host adaptation by influenza viruses. The transmis- sion bottleneck has been variously reported to be governed by random events or by natural selection on viral genes. The relative contributions of selective and random processes to the transmission bottleneck profoundly influence the rate of influenza viral evolution: Strong selective effects would effectively amplify fit variants from within the viral swarm. If random effects predominate, low-frequency fit variants would likely be lost to genetic drift before they find a susceptible host. We present here a conceptual model that unifies previous findings on influenza transmission bottlenecks, and suggests that strongly selective bottlenecks are signature features of viruses in transition from avian to mammalian phenotypes. This project will bring together a unique team of multidisciplinary investigators with expertise in viral ge- nomics, virology, and molecular evolution to test predictions from this model and understand the mechanisms that govern the influenza transmission bottleneck. The project has 2 complementary, but distinct aims: Aim 1 will determine the nature of bottlenecks during transmission of a mammal-adapted 2009 H1N1 pandemic (H1N1pdm) virus. Aim 2 will define how transmission bottlenecks impact selection as viruses encoding an avian-style HA adapt to mammalian hosts. If our hypothesis is correct, deep sequencing viruses causing human spillover infections to detect signatures of selection during transmission would provide a novel and rapid means for assessing pan- demic risks. ## Key facts - **NIH application ID:** 9838141 - **Project number:** 5R01AI125392-04 - **Recipient organization:** UNIVERSITY OF WISCONSIN-MADISON - **Principal Investigator:** Thomas C. Friedrich - **Activity code:** R01 (R01, R21, SBIR, etc.) - **Funding institute:** NIH - **Fiscal year:** 2020 - **Award amount:** $659,143 - **Award type:** 5 - **Project period:** 2017-01-01 → 2021-12-31 ## Primary source NIH RePORTER: https://reporter.nih.gov/project-details/9838141 ## Citation > US National Institutes of Health, RePORTER application 9838141, Mechanisms of influenza transmission bottlenecks: impact on viral evolution (5R01AI125392-04). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/9838141. Licensed CC0. --- *[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*