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Steward, G.

Publications and source records attributed to Steward, G..

2 recordsLinked to original sources

Camus: a video-based framework for continuous behavioral monitoring in the mouse home-cage

Home-cage activity is a window into the spontaneous behavioral repertoire of mice. These behaviors are organized across the circadian cycle, and disruptions in their duration, frequency, or organization may provide sensitive measures of neurological or psychiatric dysfunction. While continuous monitoring can help track the dynamics of spontaneous behavior, video recording in conventional laboratory cages is limited by compact cage geometry, opaque cage tops, and obstructed views of animals, food, and water. We therefore developed Camus, a Camera for home-cage recordings of Mus musculus mice. Camus integrates off-the-shelf USB cameras with infrared illumination and custom 3D-printed components for access to food and water without obstructed views. The modular design pairs continuous video acquisition with a manually validated computer-vision model to quantify locomotion, feeding, drinking, and nesting-related behavior across multiday recordings. A single desktop computer can record as many as 20 cages in parallel at an incremental cost of approximately $250 per cage, recording more than 99% of expected frames at 640x360-pixel resolution and 30 frames per second. Camus captured circadian structure in locomotion, feeding, and drinking. Camus also captured nest-building and sex-specific differences in nest dynamics. Using Camus with transgenic 5xFAD mice overexpressing amyloid revealed selective, age-progressive deficits in nesting behavior. Camus provides a scalable, open-source platform that combines accessible hardware, automated video monitoring, and machine-learning based analysis for continuous and potentially longitudinal behavioral phenotyping.

animal behavior and cognition↗

Host traits drive viral life histories across phytoplankton viruses

Viruses are integral to ecological and evolutionary processes, but we have a poor understanding of what drives variation in key traits across diverse viruses. For lytic viruses, burst size, latent period, and genome size are primary characteristics controlling host-virus dynamics. Burst size and latent period are analogous to organismal traits of fecundity and generation time, and genome size affects the size of the virion as well as viral control of host metabolism. Here we synthesize data on these traits for 75 strains of phytoplankton viruses, which play an important role in global biogeochemistry. We find that primary traits of the host (genome size, growth rate) are major ecological drivers, explaining 40-50% of variation in burst size and latent period. We analyze an eco-evolutionary model to explore mechanisms underlying these patterns. We find that burst size may be set by the host genomic resources available for viral construction, while latent period evolves to permit this maximal burst size, modulated by host metabolic rate. These results suggest that general mechanisms may underlie the evolution of diverse viruses, which will facilitate our understanding of viral community processes, ecosystem impacts, and coevolutionary dynamics.

ecology↗