RT Journal Article SR Electronic T1 Longitudinal monitoring of individual infection progression in Drosophila melanogaster JF bioRxiv FD Cold Spring Harbor Laboratory SP 2021.08.17.456698 DO 10.1101/2021.08.17.456698 A1 Bryan A. Ramirez-Corona A1 Anna C. Love A1 Srikiran Chandrasekaran A1 Jennifer A. Prescher A1 Zeba Wunderlich YR 2021 UL http://biorxiv.org/content/early/2021/08/17/2021.08.17.456698.abstract AB The innate immune system is critical for host survival of infection. Infection models in organisms like Drosophila melanogaster are key for understanding evolution and dynamics of innate immunity. However, current toolsets for fly infection studies are limited in their ability to resolve changes in pathogen load on the hours time-scale, along with stochastic responses to infection in individuals. Here we report a novel bioluminescent imaging strategy enabling non-invasive characterization of pathogen load over time. We demonstrate that photon flux from autobioluminescent reporter bacteria can be used to estimate pathogen count. Escherichia coli expressing the ilux operon were imaged in whole, living flies at relevant concentrations for immune study. Because animal sacrifice was not necessary to estimate pathogen load, stochastic responses to infection were characterized in individuals for the first time. The high temporal resolution of bioluminescence imaging also enabled visualization of the fine dynamics of microbial clearance on the hours time-scale. Overall, this non-invasive imaging strategy provides a simple and scalable platform to observe changes in pathogen load in vivo over time.Competing Interest StatementThe authors have declared no competing interest.