Computational Motility Tracking of Calcium Dynamics in Toxoplasma gondii
This work addresses the need to understand virulence mechanisms in a common global parasite, with incremental progress in computational tracking methods for specific biological applications.
The researchers tackled the problem of linking calcium signaling to motility in Toxoplasma gondii, a parasite causing toxoplasmosis, by developing a computational pipeline to track and quantify motility patterns in response to calcium fluctuations, enabling the study of how calcium release and entry relate to motility.
Toxoplasma gondii is the causative agent responsible for toxoplasmosis and serves as one of the most common parasites in the world. For a successful lytic cycle, T. gondii must traverse biological barriers in order to invade host cells, and as such, motility is critical for its virulence. Calcium signaling, governed by fluctuations in cytosolic calcium (Ca2+) concentrations, is utilized universally across life and regulates many cellular processes, including the stimulation of T. gondii virulence factors such as motility. Therefore, increases in cytosolic calcium, called calcium oscillations, serve as a means to link and quantify the intracellular signaling processes that lead to T. gondii motility and invasion. Here, we describe our work extracting, quantifying and modeling motility patterns of T. gondii before and after the addition of pharmacological drugs and/or extracellular calcium. We demonstrate a computational pipeline including a robust tracking system using optical flow and dense trajectory features to extract T. gondii motility patterns. Using this pipeline, we were able to track changes in T.gondii motility in response to cytosolic Ca2+ fluxes in extracellular parasites. This allows us to study how Ca2+ signaling via release from intracellular Ca2+ stores and/or from extracellular Ca2+ entry relates to motility patterns, a crucial first step in developing countermeasures for T. gondii virulence.