Quantifying and predicting Drosophila larvae crawling phenotypes

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 c...

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Published in:Scientific reports 2016-06, Vol.6 (1), p.27972-27972, Article 27972
Main Authors: Günther, Maximilian N., Nettesheim, Guilherme, Shubeita, George T.
Format: Article
Language:English
Subjects:
631/1647/334/1582/715
631/378
639/766/747
Alzheimer Disease - pathology
Alzheimer's disease
Animals
Biometry - methods
Brownian motion
Disease Models, Animal
Drosophila melanogaster - physiology
Drug Evaluation, Preclinical - methods
Entomology - methods
Experiments
Foraging behavior
Fragile X Syndrome - pathology
Genetic Testing - methods
Humanities and Social Sciences
Insects
Larva - physiology
Larvae
Locomotion
multidisciplinary
Phenotype
Science
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description 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.
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subjects 631/1647/334/1582/715
631/378
639/766/747
Alzheimer Disease - pathology
Alzheimer's disease
Animals
Biometry - methods
Brownian motion
Disease Models, Animal
Drosophila melanogaster - physiology
Drug Evaluation, Preclinical - methods
Entomology - methods
Experiments
Foraging behavior
Fragile X Syndrome - pathology
Genetic Testing - methods
Humanities and Social Sciences
Insects
Larva - physiology
Larvae
Locomotion
multidisciplinary
Phenotype
Science
title Quantifying and predicting Drosophila larvae crawling phenotypes
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