ArticleBMC developmental biology2015
An automated system for quantitative analysis of Drosophila larval locomotion.
Article in BMC developmental biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- A modular multi-color fluorescence microscope for simultaneous tracking of cellular activity and behavior.Nature communications · 2026Article
- A Segment Anything Model-based tool for semi-automated behavioural analysis of Drosophila and other model organisms.Disease models & mechanisms · 2026Article
- Prediction error drives associative learning and conditioned behavior in a spiking model of Drosophila larva.iScience · 2024Article
- Perspectives on the Drosophila melanogaster Model for Advances in Toxicological Science.Current protocols · 2023Review
- High-resolution analysis of individualOpen biology · 2023Article
- Internal state affects local neuron function in an early sensory processing center to shape olfactory behavior in Drosophila larvae.Scientific reports · 2022Article
- IntacteLife · 2022Article
- L-DOPA-Induced Dyskinesia in a Genetic Drosophila Model of Parkinson's Disease.Experimental neurobiology · 2020Article
- Loss of theDisease models & mechanisms · 2020Article
- Excess Rab4 rescues synaptic and behavioral dysfunction caused by defective HTT-Rab4 axonal transport in Huntington's disease.Acta neuropathologica communications · 2020Article
- Small Animal Video Tracking for Activity and Path Analysis Using a Novel Open-Source Multi-Platform Application (AnimApp).Scientific reports · 2019Article
- Article
- The Non-amyloidal Component Region of α-Synuclein Is Important for α-Synuclein Transport Within Axons.Frontiers in cellular neuroscience · 2019Article
- High-content behavioral profiling reveals neuronal genetic network modulating Drosophila larval locomotor program.BMC genetics · 2017Article
- Functional Genetic Screen to Identify Interneurons Governing Behaviorally Distinct Aspects of Drosophila Larval Motor Programs.G3 (Bethesda, Md.) · 2016Article
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Authors and funding
3 authors.
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Abstract
backgroundDrosophila larvae have been used as a model to study to genetic and cellular circuitries modulating behaviors. One of the challenges in behavioral study is the quantification of complex phenotypes such as locomotive behaviors. Experimental capability can be greatly enhanced by an automatic single-animal tracker that records an animal at a high resolution for an extended period, and analyzes multiple behavioral parameters.
resultsHere we present MaggotTracker, a single-animal tracking system for Drosophila larval locomotion analysis. This system controls the motorized microscope stage while taking a video, so that the animal remains in the viewing center. It then reduces the animal to 13 evenly distributed points along the midline, and computes over 20 parameters evaluating the shape, peristalsis movement, stamina, and track of the animal. To demonstrate its utility, we applied MaggotTracker to analyze both wild-type and mutant animals to identify factors affecting locomotive behaviors. Each animal was tracked for four minutes. Our analysis on Canton-S third-instar larvae revealed that the distance an animal travelled was correlated to its striding speed rather than the percentage of time the animal spent striding, and that the striding speed was correlated to both the distance and the duration of one stride. Sexual dimorphism was observed in body length but not in locomotive parameters such as speed. Locomotive parameters were affected by animal developmental stage and the crawling surface. No significant changes in movement speed were detected in mutants of circadian genes such as period (per), timeout, and timeless (tim). The MaggotTracker analysis showed that ether a go-go (eag), Shaker (Sh), slowpoke (slo), and dunce (dnc) mutant larvae had severe phenotypes in multiple locomotive parameters such as stride distance and speed, consistent with their function in neuromuscular junctions. Further, the phenotypic patterns of the K(+) channel genes eag, Sh and slo are highly similar.
conclusionsThese results showed that MaggotTracker is an efficient tool for automatic phenotyping. The MaggotTracker software as well as the data presented here can be downloaded from our open-access site www.WormLoco.org/Mag.
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