Quantifying and predicting Drosophila larvae crawling phenotypes

Maximilian N. Günther, Guilherme Nettesheim, George T. Shubeita

Research output: Contribution to journalArticlepeer-review


The fruit fly Drosophila melanogaster is a widely used model for cell biology, development, disease, and neuroscience. The fly's power as a genetic model for disease and neuroscience can be augmented by a quantitative description of its behavior. Here we show that we can accurately account for the complex and unique crawling patterns exhibited by individual Drosophila larvae using a small set of four parameters obtained from the trajectories of a few crawling larvae. The values of these parameters change for larvae from different genetic mutants, as we demonstrate for fly models of Alzheimer's disease and the Fragile X syndrome, allowing applications such as genetic or drug screens. Using the quantitative model of larval crawling developed here we use the mutant-specific parameters to robustly simulate larval crawling, which allows estimating the feasibility of laborious experimental assays and aids in their design.

Original languageEnglish (US)
Article number27972
JournalScientific reports
StatePublished - Jun 21 2016

ASJC Scopus subject areas

  • General


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