Name: a simple technique to assay locomotor activity in drosophila
Uploaded: 2023-02-24T14:00:00
Description: Watch this Scientific Journal Video about A Simple Technique to Assay Locomotor Activity in Drosophila at JoVE.com

This work was supported by a special launch fund from Soochow University and the National Science Foundation of China (NSFC) (82171414). We thank Prof. Chunfeng Liu&#39;s lab members for their discussion and comments.

W1118 adult flies and third instar larvae were used for the present study.
1. Experimental preparation
NOTE: An open-field arena for Drosophila locomotion tracking is made withacolorless and odorless silica gel.
<ol>
	<li>Mix reagent A and reagent B at a ratio of 1:10, according to the manufacturer&#39;s instructions for the silica kit (see Table of Materials). Ensure that sodium bicarbonate is added t...

<ol>
	<li>Ham, S. J., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Loss+of+UCHL1+rescues+the+defects+related+to+Parkinson's+disease+by+suppressing+glycolysis.">Loss of UCHL1 rescues the defects related to Parkinson's disease by suppressing glycolysis.</a> Science Advances. 7 (28), (2021).</li><li>Algarve, T. D., Assmann, C. E., Aigaki, T., da Cruz, I. B. M. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Parental+and+preimaginal+exposure+to+methylmercury+disrupts+locomotor+activity+and+circadian+rhythm+of+adult+Drosophila+melanogaster.">Parental and preimaginal exposure to methylmercury disrupts locomotor activity and circadian rhythm of adult Drosophila melanogaster.</a> Drug and Chemical Toxicology. 43 (3), 255-265 (2020).</li><li>Jones, M. A., Grotewiel, M. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Drosophila+as+a+model+for+age-related+impairment+in+locomotor+and+other+behaviors.">Drosophila as a model for age-related impairment in locomotor and other behaviors.</a> Experimental Gerontology. 46 (5), 320-325 (2011).</li><li>Yamaguchi, M., Yoshida, H. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Drosophila+as+a+model+organism.">Drosophila as a model organism.</a> Advances in Experimental Medicine and Biology. 1076, 1-10 (2018).</li><li>Rothenfluh, A., Heberlein, U. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Drugs,+files,+and+videotape:+the+effects+of+ethanol+and+cocaine+on+Drosophila+locomotion.">Drugs, files, and videotape: the effects of ethanol and cocaine on Drosophila locomotion.</a> Current Opinion in Neurobiology. 12 (6), 639-645 (2002).</li><li>Tsuda, L., Lim, Y. M. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Alzheimer's+disease+model+system+using+Drosophila.">Alzheimer's disease model system using Drosophila.</a> Advances in Experimental Medicine and Biology. 1076, 25-40 (2018).</li><li>Dung, V. M., Thao, D. T. P. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Parkinson's+disease+model.">Parkinson's disease model.</a> Advances in Experimental Medicine and Biology. 1076, 41-61 (2018).</li><li>Liguori, F., Amadio, S., Volonte, C. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Fly+for+ALS:+Drosophila+modeling+on+the+route+to+amyotrophic+lateral+sclerosis+modifiers.">Fly for ALS: Drosophila modeling on the route to amyotrophic lateral sclerosis modifiers.</a> Cellular and Molecular Life Sciences. 78 (17-18), 6143-6160 (2021).</li><li>Cao, W., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=An+automated+rapid+iterative+negative+geotaxis+assay+for+analyzing+adult+climbing+behavior+in+a+Drosophila+model+of+neurodegeneration.">An automated rapid iterative negative geotaxis assay for analyzing adult climbing behavior in a Drosophila model of neurodegeneration.</a> Journal of Visualized Experiments. (127), 56507 (2017).</li><li>Eidhof, I., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=High-throughput+analysis+of+locomotor+behavior+in+the+Drosophila+island+assay.">High-throughput analysis of locomotor behavior in the Drosophila island assay.</a> Journal of Visualized Experiments. (129), 55892 (2017).</li><li>Scaplen, K. M., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Automated+real-time+quantification+of+group+locomotor+activity+in+Drosophila+melanogaster.">Automated real-time quantification of group locomotor activity in Drosophila melanogaster.</a> Scientific Reports. 9 (1), 4427 (2019).</li><li>Werkhoven, Z., Rohrsen, C., Qin, C., Brembs, B., de Bivort, B. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=MARGO+(Massively+Automated+Real-time+GUI+for+Object-tracking),+a+platform+for+high-throughput+ethology.">MARGO (Massively Automated Real-time GUI for Object-tracking), a platform for high-throughput ethology.</a> PLoS One. 14 (11), e0224243 (2019).</li><li>Gargano, J. W., Martin, I., Bhandari, P., Grotewiel, M. S. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Rapid+iterative+negative+geotaxis+(RING):+a+new+method+for+assessing+age-related+locomotor+decline+in+Drosophila.">Rapid iterative negative geotaxis (RING): a new method for assessing age-related locomotor decline in Drosophila.</a> Experimental Gerontology. 40 (5), 386-395 (2005).</li><li>Cichewicz, K., Hirsh, J. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=ShinyR-DAM:+a+program+analyzing+Drosophila+activity,+sleep+and+circadian+rhythms.">ShinyR-DAM: a program analyzing Drosophila activity, sleep and circadian rhythms.</a> Communications Biology. 1, 25 (2018).</li><li>McParland, A. L., Follansbee, T. L., Ganter, G. K. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Measurement+of+larval+activity+in+the+Drosophila+activity+monitor.">Measurement of larval activity in the Drosophila activity monitor.</a> Journal of Visualized Experiments. 98, e52684 (2015).</li><li>Walter, T., Couzin, I. D. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=TRex,+a+fast+multi-animal+tracking+system+with+markerless+identification,+and+2D+estimation+of+posture+and+visual+fields.">TRex, a fast multi-animal tracking system with markerless identification, and 2D estimation of posture and visual fields.</a> eLife. 10, (2021).</li><li>Maia Chagas, A., Prieto-Godino, L. L., Arrenberg, A. B., Baden, T. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=The+&#8364;100+lab:+A+3D-printable+open-source+platform+for+fluorescence+microscopy,+optogenetics,+and+accurate+temperature+control+during+behaviour+of+zebrafish,+Drosophila,+and+Caenorhabditis+elegans.">The &#8364;100 lab: A 3D-printable open-source platform for fluorescence microscopy, optogenetics, and accurate temperature control during behaviour of zebrafish, Drosophila, and Caenorhabditis elegans.</a> PLoS Biology. 15 (7), e2002702 (2017).</li><li>Nichols, C. D., Becnel, J., Pandey, U. B. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Methods+to+assay+Drosophila+behavior.">Methods to assay Drosophila behavior.</a> Journal of Visualized Experiments. (61), (2012).</li><li>Xiao, G. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Methods+to+assay+the+behavior+of+Drosophila+melanogaster+for+toxicity+study.">Methods to assay the behavior of Drosophila melanogaster for toxicity study.</a> Methods in Molecular Biology. 2326, 47-54 (2021).</li><li>Schindelin, J., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Fiji:+an+open-source+platform+for+biological-image+analysis.">Fiji: an open-source platform for biological-image analysis.</a> Nature Methods. 9 (7), 676-682 (2012).</li><li>Johnson, M. E., Bobrovskaya, L. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=An+update+on+the+rotenone+models+of+Parkinson's+disease:+their+ability+to+reproduce+the+features+of+clinical+disease+and+model+gene-environment+interactions.">An update on the rotenone models of Parkinson's disease: their ability to reproduce the features of clinical disease and model gene-environment interactions.</a> Neurotoxicology. 46, 101-116 (2015).</li><li>Coulom, H., Birman, S. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Chronic+exposure+to+rotenone+models+sporadic+Parkinson's+disease+in+Drosophila+melanogaster.">Chronic exposure to rotenone models sporadic Parkinson's disease in Drosophila melanogaster.</a> The Journal of Neuroscience. 24 (48), 10993-10998 (2004).</li><li>Kumar, P. P., Bawani, S. S., Anandhi, D. U., Prashanth, K. V. H. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Rotenone+mediated+developmental+toxicity+in+Drosophila+melanogaster.">Rotenone mediated developmental toxicity in Drosophila melanogaster.</a> Environmental Toxicology and Pharmacology. 93, 103892 (2022).</li><li>Gulyas, M., Bencsik, N., Pusztai, S., Liliom, H., Schlett, K. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=AnimalTracker:+an+ImageJ-based+tracking+API+to+create+a+customized+behaviour+analyser+program.">AnimalTracker: an ImageJ-based tracking API to create a customized behaviour analyser program.</a> Neuroinformatics. 14 (4), 479-481 (2016).</li><li>Qu, S. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=EasyFlyTracker:+a+simple+video+tracking+Python+package+for+analyzing+adult+Drosophila+locomotor+and+sleep+activity+to+facilitate+revealing+the+effect+of+psychiatric+drugs.">EasyFlyTracker: a simple video tracking Python package for analyzing adult Drosophila locomotor and sleep activity to facilitate revealing the effect of psychiatric drugs.</a> Frontiers in Behavioral Neuroscience. 15, 809665 (2022).</li><li>Yarwais, Z. H., Najmalddin, H. O., Omar, Z. J., Mohammed, S. A. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Automated+data+collection+of+Drosophila+movement+behaviour+assays+using+computer+vision+in+Python.">Automated data collection of Drosophila movement behaviour assays using computer vision in Python.</a> International Journal of Innovative Approaches in Science Research. 4 (1), 15-22 (2020).</li></ol>

We have designed a method, based on the open-source material AnimalTracker API compatible with the Fiji image processing program, that can enable researchers to systematically evaluate locomotor activity by tracking both adult and individual larval flies. AnimalTracke is a tool written in Java that can be easily integrated into existing databases or other tools to facilitate the analysis of application-designed animal-tracking behavior24. Upon a frame-by-frame analysis by a softw...

Drosophila melanogaster provides an excellent model organism for investigating cellular and molecular functions in neuronal disease models created by gene modification1, drug treatment2, and senescence3. The high conservation of biological pathways, physical properties, and disease-associated homolog genes between humans and Drosophila makes the fruit fly an ideal mimic from the molecular to the behavioral level4. In many disease models, behavioral deficiency is an important index, providing a helpful model for various human neuropathies5,6. Drosophila is now used to study multiple human diseases, neurodevelopment, and neurodegenerative diseases such as Parkinson&#39;s disease and amyotrophic lateral sclerosis7,8. Detecting the motor ability of the disease models is crucial for understanding the pathogenic progress and may provide a phenotypic correlation to the molecular mechanisms underlying the disease process.
Recently, commercially available software tools and cost-effective programs have been developed for Drosophila locomotor detection strategies, such as high-throughput testing in grouped flies9,10 and measuring locomotion in real-time11,12. One such conventional approach is rapid interactive negative geotaxis (RING), also called the climbing assay, which includes multiple channels that allow for a large fly population with the same gender and age to be contained, reducing variation while data collecting9,13. Another pre-testing method for analyzing locomotor behavior is TriKinetics Drosophila activity monitor (DAM), a device that uses multiple beams to detect fly activity movement within a thin glass tube14. The device records position continuously, which represents automated locomotion by calculating the beam-crossings to study the activity and circadian rhythm of flies over a longer period of time15. Although these methods have been widely used in analyzing behavioral defects in fruit flies to determine changes in behavioral locomotion, they always require special testing equipment or complex analysis processes, and restrict their application in some models with a limited, simple device. Animal-tracing group-based strategies for testing the adult Drosophila, such as FlyGrAM11 and the Drosophila island assay10, implement social recruitment and individual tracking in a predefined area. Nevertheless, social individual restriction in defied areas might have a negative effect on identifications in the images, caused by the collision or overlapping of flies. Even though some open-source materials-based methods, such as TRex16, MARGO12, and FlyPi17, have an emergency, they can fast-track trace the flies with flexible usage in behavioral testing. These testing approaches are associated with elaborate experimental apparatus installations, special software requirements, or professional computer languages. For larvae, measuring the total distance traveled across the number of grid border lines per unit of time18, or rough counting the body wall contractions for individuals manually19, are the predominant methods for assessing their locomotor ability. Due to the lack of precision in equipment or devices and analysis methods, some behavioral locomotion of larvae might escape detection, making it difficult to accurately assess behavioral movement, especially fine movement15.
The present developed method utilizes the AnimalTracker application programming interface (API), compatible with the Fiji (ImageJ) image processing program, to systematically evaluate the locomotor activity of both adult and larval flies by analyzing their tracking behavior from high-definition (HD) videos. Fiji is an open-source software ImageJ distribution that can combine robust software libraries with numerous scripting languages, resulting in rapid prototyping of image processing algorithms, making it popular among biologists for its image analysis capabilities20. In the current approach, Fiji&#39;s integration into the AnimalTracker API is exploited to develop a unique Drosophila behavioral assay with personalized algorithm insertion, and provides a useful step for detailed documentation and tutorials to support robust analytical capabilities of locomotor behavior (Figure 1). To circumvent the complication of objective identifications in the images caused by the collision or overlapping of flies, each arena is restricted to hosting only one fly. Upon assessing the tracking precision of the approach, it was implemented to trace and quantify the locomotor movements of Drosophila that were administered with the toxic drug rotenone, which is generally used for animal models of Parkinson&#39;s disease, ultimately discovering locomotion impairment in the drug treatment21. This methodology, which employs open-source and free software, does not necessitate high-cost instrumentation, and can precisely and reproducibly analyze Drosophila behavioral locomotion.

<table border="1" fo:keep-together.within-page="1" fo:keep-with-next.within-page="always">
	<tbody>
		<tr>
			<td>Animal tracker</td>
			<td>Hungarian Brain Research Program</td>
			<td>version: 1.7</td>
			<td>pfficial website: http://animaltracker.elte.hu/main/downloads</td>
		</tr>
		<tr>
			<td>Camera software</td>
			<td>Microsoft</td>
			<td>version: 2021.105.10.0</td>
			<td>built-in windows 10 system</td>
		</tr>
		<tr>
			<td>Computer</td>
			<td>DELL</td>
			<td>Vostro-14-5480</td>
			<td>a comupter running win 10 system is available</td>
		</tr>
		<tr>
			<td>Drosophila carbon dioxide anesthesia workstation</td>
			<td>Wu han Yihong technology</td>
			<td>#YHDFPCO2-018</td>
			<td>official website: http://www.yhkjwh.com/</td>
		</tr>
		<tr>
			<td>Fiji software</td>
			<td>Fiji team</td>
			<td>version: 1.53v</td>
			<td>official website: https://fiji.sc/</td>
		</tr>
		<tr>
			<td>Format factory software</td>
			<td>Pcfreetime</td>
			<td>version: X64 5.4.5</td>
			<td>official website: http://www.pcfreetime.com/formatfactory/CN/index.html</td>
		</tr>
		<tr>
			<td>Graph pad prism</td>
			<td>GraphPad Software</td>
			<td>version: 8.0.2</td>
			<td>official website: https://www.graphpad-prism.cn</td>
		</tr>
		<tr>
			<td>Hight definition camera</td>
			<td>TTQ</td>
			<td>Jingwang2 (HD1080P F1.6 6-60mm)</td>
			<td>official website: http://www.ttq100.com/product_show.php?id=35</td>
		</tr>
		<tr>
			<td>Office software</td>
			<td>Microsoft</td>
			<td>version: office 2019</td>
			<td>official website: https://www.microsoftstore.com.cn/software/office</td>
		</tr>
		<tr>
			<td>Petri dish</td>
			<td>Bkman</td>
			<td>110301003</td>
			<td>size: 60 mm</td>
		</tr>
		<tr>
			<td>Silica gel</td>
			<td>DOW</td>
			<td>SYLGARD 184 Silicone Elastomer Kit</td>
			<td>Mix well according to the instructions</td>
		</tr>
		<tr>
			<td>Sodium bicarbonate</td>
			<td>Macklin</td>
			<td>#144-55-8</td>
			<td>Mix well with silica gel</td>
		</tr>
	</tbody>
</table>

a simple technique to assay locomotor activity in drosophila

Drosophila melanogaster is an ideal model organism for studying various diseases due to its abundance of advanced genetic manipulation techniques and diverse behavioral features. Identifying behavioral deficiency in animal models is a crucial measure of disease severity, for example, in neurodegenerative diseases where patients often experience impairments in motor function. However, with the availability of various systems to track and assess motor deficits in fly models, such as drug-treated or transgenic individuals, an economical and user-friendly system for precise evaluation from multiple angles is still lacking. A method based on the AnimalTracker application programming interface (API) is developed here, which is compatible with the Fiji image processing program, to systematically evaluate the movement activities of both adult and larval individuals from recorded video, thus allowing for the analysis of their tracking behavior. This method requires only a high-definition camera and a computer peripheral hardware integration to record and analyze behavior, making it an affordable and effective approach for screening fly models with transgenic or environmental behavioral deficiencies. Examples of behavioral tests using pharmacologically treated flies are given to show how the techniques can detect behavioral changes in both adult flies and larvae in a highly repeatable manner.

In the present study, locomotor deficits in adult flies and third instar larvae treated with rotenone were examined and compared in their motor activity to that of a control fly fed with the drug solvent dimethyl sulfoxide (DMSO). Treatment with rotenone in Drosophila has been shown to cause dopaminergic neuron loss in the brain22 and lead to significant locomotor deficits23. As shown in Figure 11 and Figure 12</st...

Watch this Scientific Journal Video about A Simple Technique to Assay Locomotor Activity in Drosophila at JoVE.com

A Simple Technique to Assay Locomotor Activity in Drosophila

The present protocol assesses the locomotor activity of Drosophila by tracking and analyzing the movement of flies in a hand-made arena using open-source software Fiji, compatible with plugins to segment pixels of each frame based on high-definition video recording to calculate parameters of speed, distance, etc.

A Simple Technique to Assay Locomotor Activity in Drosophila

Drosophila melanogaster is an ideal model organism for studying various diseases due to its abundance of advanced genetic manipulation techniques and ...

The method is based on open source software to systematically evaluate the local motor activities for the tracking behavior of adult and the larvae flies from recorded video. This method requires low cost device integration to record and analyze behavior, making it an affordable and effective approach for screening fly locomotion. This technology is employed to identify behavioral modification in a fly model of human disease with local motion impairment, but it is not suitable for treating disease, disabilities, or difficulties.It is essential to clear the relevant video window during the analysis process, namely the original and the processing video window. To begin, mix reagent A and reagent B of the silica kit at a ratio of one to 10, according to the manufacturer's instructions, to prepare the open field arena for drosophila locomotion tracking. Next, set the HD camera on a tripod, adjusting it so that the camera lens is perpendicular to the surface of the silica arena.Then open the video with Fiji. Drag the progress bar to the initial frame and tacitly approve. Choose the whole body of the fly using the freehand selection tool.Click on image, adjust, and brightness and contrast to adjust the white balance until the gray value of the selected area approaches the broad background. Transfer the anesthetized fly to the open field arena. Once the fly recovers from the anesthesia, put the arena dish with the fly under the camera and shake it quickly from side to side to ensure the fly is in motion when the recording begins.Press the record button on the camera application to start video recording. Upon completion of the recording, press the stop button to terminate the video recording. Convert the recorded videos into AVI format with M-J pagan coding so they can be opened and analyzed using Fiji.Also set the frames per second of the video to 15 fps for adult flies and 12 fps for larvae. To open the video with Fiji, select the two options, use virtual stack and convert to gray scale, in the pop-up window. Obtain a processing window by using the set active image tool of the animal tracker plugin, and create a tracking area that circles the arena in the original video window, using the oval tool.Set the filters and the parameters of the two filters for the first blank frame in the processing window. Then select the next frame in the original video window, and choose the filtered surface of the processing window. Once a filtered processing window is selected, use the set threshold tool to turn the tract fly with a red profile, covered in the processing window.Then use the set blob detector to let the computer recognize the fly with a red profile, covered in the processing window. Set the last frame for the adult fly or larvae, as described in the text manuscript. Use the show blobs tool to present a tracking rectangle in the original video window.Start the tracking and export the tracking file after the monitoring is completed. Load the track and zone files using the animal tracker and tracking analyzer plugin. Select the desired index using zone settings, and alter the parameter settings.Calculate the time of the frame interval using the frame rate. Produce the quantitative analysis charts using spreadsheet software and graph pad prism, after being analyzed in the tracking analyzer. Open the track file.Copy all coordinates to Microsoft Office Excel and split the cells using the space key. To calculate the immobility time per frame interval, select all calculated results and insert a column chart to visually exhibit the immobility time by the margin of the whole column chart. To illustrate the changes in the angle of direction, select all calculated results and insert a scatter diagram.Adult flies and third Instar larvae, treated with Rotenone, had significant locomotor deficits compared to those of control flies, fed with solvent DMSO. Quantitative analysis of the Rotenone treatment in adult flies showed a significant decrease in the distance traveled and the mean velocity. And a significant increase in the immobility time.Representative graphs showed fewer peaks for the movement speed per frame interval in flies fed with Rotenone compared to those in the control, indicating the severity of the locomotor activity deficit. The institution-istic immobility column of moved pixels per frame also showed significantly less movement within one minute for Rotenone fed flies, compared to the control flies. Representative graphs illustrating the moving angle of direction changes in Rotenone fed, and control animals also revealed alterations in the direction chosen by flies.Similar results were observed for the third Instar larvae. The results revealed that the behavioral movement of tracking larvae fed with Rotenone was significantly impaired compared to the control. The most crucial step in the analysis process is forming the first of blank frame, as it evidence whether the software can check effectively.This technology could allow researchers to delve deeper into the underlying mechanism of multiple defects, such as nerve or muscle injury.

a-simple-technique-to-assay-locomotor-activity-in-drosophila

Research

JoVE Journal

Behavior

Mouse Short- and Long-term Locomotor Activity Analyzed by Video Tracking Software

Locomotor activity (LMA) is a simple and easily performed measurement of behavior in mice and other rodents. Improvements in video tracking software (VTS) have allowed it to be coupled to LMA testing, dramatically improving specificity and sensitivity when compared to the line crossings method with manual scoring. In addition, VTS enables high-throughput experimentation. While similar to automated video tracking used for the open field test (OFT), LMA testing is unique in that it allows mice to remain in their home cage and does not utilize the anxiogenic stimulus of bright lighting during the active phase of the light-dark cycle. Traditionally, LMA has been used for short periods of time (mins), while longer movement studies (hrs-days) have often used implanted transmitters and biotelemetry. With the option of real-time tracking, long-, like short-term LMA testing, can now be conducted using videography. Long-term LMA testing requires a specialized, but easily constructed, cage so that food and water (which is usually positioned on the cage top) does not obstruct videography. Importantly, videography and VTS allows for the quantification of parameters, such as path of mouse movement, that are difficult or unfeasible to measure with line crossing and/or biotelemetry. In sum, LMA testing coupled to VTS affords a more complete description of mouse movement and the ability to examine locomotion over an extended period of time.

Locomotor activity (LMA) is a simple and easily performed measurement of behavior in mice. Coupling of video tracking software (VTS) and LMA allows for the improvement of specificity and sensitivity, especially when compared with the manual, line crossing method of LMA analysis. Additionally VTS allows long-term tracking of mouse LMA.

Locomotor  activity (LMA) is a simple and easily performed measurement of behavior in mice  and other rodents. Improvements in video tracking software ...

Behavioral and Locomotor Measurements Using an Open Field Activity Monitoring System for Skeletal Muscle Diseases

The open field activity monitoring system comprehensively assesses locomotor and behavioral activity levels of mice. It is a useful tool for assessing locomotive impairment in animal models of neuromuscular disease and efficacy of therapeutic drugs that may improve locomotion and/or muscle function. The open field activity measurement provides a different measure than muscle strength, which is commonly assessed by grip strength measurements. It can also show how drugs may affect other body systems as well when used with additional outcome measures. In addition, measures such as total distance traveled mirror the 6 min walk test, a clinical trial outcome measure. However, open field activity monitoring is also associated with significant challenges: Open field activity measurements vary according to animal strain, age, sex, and circadian rhythm. In addition, room temperature, humidity, lighting, noise, and even odor can affect assessment outcomes. Overall, this manuscript provides a well-tested and standardized open field activity SOP for preclinical trials in animal models of neuromuscular diseases. We provide a discussion of important considerations, typical results, data analysis, and detail the strengths and weaknesses of open field testing. In addition, we provide recommendations for optimal study design when using open field activity in a preclinical trial.

Open field activity levels are used to assess locomotive and behavioral activity levels. This protocol provides a well-designed, standardized protocol to use in preclinical trials for neuromuscular disorders.

The open field activity monitoring system comprehensively assesses locomotor and behavioral activity levels of mice. It is a useful tool for assessing ...

Use of the Open Field Maze to Measure Locomotor and Anxiety-like Behavior in Mice

Animal models have proven to be invaluable to researchers trying to answer questions regarding the mechanisms of behavior. The Open Field Maze is one of the most commonly used platforms to measure behaviors in animal models. It is a fast and relatively easy test that provides a variety of behavioral information ranging from general ambulatory ability to data regarding the emotionality of the subject animal. As it relates to rodent models, the procedure allows the study of different strains of mice or rats both laboratory bred and wild-captured. The technique also readily lends itself to the investigation of different pharmacological compounds for anxiolytic or anxiogenic effects. Here, a protocol for use of the open field maze to describe mouse behaviors is detailed and a simple analysis of general locomotor ability and anxiety-related emotional behaviors between two strains of C57BL/6 mice is performed. Briefly, using the described protocol we show Wild Type mice exhibited significantly less anxiety related behaviors than did age-matched Knock Out mice while both strains exhibited similar ambulatory ability.

A protocol is provided to use an Open Field Maze to access general locomotor activity, anxiety and emotionality in a laboratory mouse model.

Animal models have proven to be invaluable to researchers trying to answer questions regarding the mechanisms of behavior. The Open Field Maze is one of ...

The Treadmill Fatigue Test: A Simple, High-throughput Assay of Fatigue-like Behavior for the Mouse

Fatigue is a prominent symptom in many diseases and disorders and reduces quality of life for many people. The lack of clear pathogenesis and failure of current interventions to adequately treat fatigue in all patients leaves a need for new treatment options. Despite the therapeutic need and importance of preclinical research in helping identify promising novel treatments, few preclinical assays of fatigue are available. Moreover, the most common preclinical assay used to assess fatigue-like behavior, voluntary wheel running, is not suitable for use with some strains of mice, may not be sensitive to drugs that reduce fatigue, and has relatively low throughput. The current protocol describes a novel, non-voluntary preclinical assay of fatigue-like behavior, the treadmill fatigue test, and provides evidence of its efficacy in detecting fatigue-like behavior in mice treated with a chemotherapy drug known to cause fatigue in humans and fatigue-like behavior in animals. This assay may be a beneficial alternative to wheel running, as fatigue-like behavior and potential interventions can be assessed in a greater number of mice over a shorter time frame, thus permitting faster discovery of new therapeutic options.

Fatigue is a common, undertreated and frequently poorly-understood symptom in many diseases and disorders. New preclinical assays of fatigue may help to improve current understanding and future treatment of fatigue. To that end, the current protocol provides a novel means of measuring fatigue-like behavior in the mouse.

Fatigue is a prominent symptom in many diseases and disorders and reduces quality of life for many people. The lack of clear pathogenesis and failure of ...

Using a Split-belt Treadmill to Evaluate Generalization of Human Locomotor Adaptation

Understanding the mechanisms underlying locomotor learning helps researchers and clinicians optimize gait retraining as part of motor rehabilitation. However, studying human locomotor learning can be challenging. During infancy and childhood, the neuromuscular system is quite immature, and it is unlikely that locomotor learning during early stages of development is governed by the same mechanisms as in adulthood. By the time humans reach maturity, they are so proficient at walking that it is difficult to come up with a sufficiently novel task to study de novo locomotor learning. The split-belt treadmill, which has two belts that can drive each leg at a different speed, enables the study of both short- (i.e., immediate) and long-term (i.e., over minutes-days; a form of motor learning) gait modifications in response to a novel change in the walking environment. Individuals can easily be screened for previous exposure to the split-belt treadmill, thus ensuring that all experimental participants have no (or equivalent) prior experience. This paper describes a typical split-belt treadmill adaptation protocol that incorporates testing methods to quantify locomotor learning and generalization of this learning to other walking contexts. A discussion of important considerations for designing split-belt treadmill experiments follows, including factors like treadmill belt speeds, rest breaks, and distractors. Additionally, potential but understudied confounding variables (e.g., arm movements, prior experience) are considered in the discussion.

We describe a protocol for investigating human locomotor adaptation using the split-belt treadmill, which has two belts that can drive each leg at a different speed. We specifically focus on a paradigm designed to test the generalization of adapted locomotor patterns to different walking contexts (e.g., gait speeds, walking environments).

Understanding the mechanisms underlying locomotor learning helps researchers and clinicians optimize gait retraining as part of motor rehabilitation. ...

A Method to Test the Effect of Environmental Cues on Mating Behavior in Drosophila melanogaster

An individual's sexual drive is influenced by genotype, experience and environmental conditions. How these factors interact to modulate sexual behaviors remains poorly understood. In Drosophila melanogaster, environmental cues, such as food availability, affect mating activity offering a tractable system to investigate the mechanisms modulating sexual behavior. In D. melanogaster, environmental cues are often sensed via the chemosensory gustatory and olfactory systems. Here, we present a method to test the effect of environmental chemical cues on mating behavior. The assay consists of a small mating arena containing food medium and a mating couple. The mating frequency for each couple is continuously monitored for 24 h. Here we present the applicability of this assay to test environmental compounds from an external source through a pressurized air system as well as manipulation of the environmental components directly in the mating arena. The use of a pressurized air system is especially useful to test the effect of very volatile compounds, while manipulating components directly in the mating arena can be of value to ascertain a compound's presence. This assay can be adapted to answer questions about the influence of genetic and environmental cues on mating behavior and fecundity as well as other male and female reproductive behaviors.

A Method to Test the Effect of Environmental Cues on Mating Behavior in Drosophila melanogaster

We demonstrate an assay to analyze the environmental and genetic cues that influence mating behavior in the fruit fly Drosophila melanogaster.

An individual's sexual drive is influenced by genotype, experience and environmental conditions. How these factors interact to modulate sexual behaviors ...

A Computational Method to Quantify Fly Circadian Activity

In most animals and plants, circadian clocks orchestrate behavioral and molecular processes and synchronize them to the daily light-dark cycle. Fundamental mechanisms that underlie this temporal control are widely studied using the fruit fly Drosophila melanogaster as a model organism. In flies, the clock is typically studied by analyzing multiday locomotor recording. Such a recording shows a complex bimodal pattern with two peaks of activity: a morning peak that happens around dawn, and an evening peak that happens around dusk. These two peaks together form a waveform that is very different from sinusoidal oscillations observed in clock genes, suggesting that mechanisms in addition to the clock have profound effects in producing the observed patterns in behavioral data. Here we provide instructions on using a recently developed computational method that mathematically describes temporal patterns in fly activity. The method fits activity data with a model waveform that consists of four exponential terms and nine independent parameters that fully describe the shape and size of the morning and evening peaks of activity. The extracted parameters can help elucidate the kinetic mechanisms of substrates that underlie the commonly observed bimodal activity patterns in fly locomotor rhythms.

A method to quantify the main temporal features seen in fly circadian locomotor rhythms is presented. The quantification is achieved by fitting fly activity with a multi-parametric model waveform. The model parameters describe the shape and size of the morning and evening peaks of daily activity.

In most animals and plants, circadian clocks orchestrate behavioral and molecular processes and synchronize them to the daily light-dark cycle. ...

Application of MultiColor FlpOut Technique to Study High Resolution Single Cell Morphologies and Cell Interactions of Glia in Drosophila

Cells display different morphologies and complex anatomical relationships. How do cells interact with their neighbors? Do the interactions differ between cell types or even within a given type? What kinds of spatial rules do they follow? The answers to such fundamental questions in vivo have been hampered so far by a lack of tools for high resolution single cell labeling. Here, a detailed protocol to target single cells with a MultiColor FlpOut (MCFO) technique is provided. This method relies on three differently tagged reporters (HA, FLAG and V5) under UAS control that are kept silent by a transcriptional terminator flanked by two FRT sites (FRT-stop-FRT). A heat shock pulse induces the expression of a heat shock-induced Flp recombinase, which randomly removes the FRT-stop-FRT cassettes in individual cells: expression occurs only in cells that also express a GAL4 driver. This leads to an array of differently colored cells of a given cell type that allows the visualization of individual cell morphologies at high resolution. As an example, the MCFO technique can be combined with specific glial GAL4 drivers to visualize the morphologies of the different glial subtypes in the adult Drosophila brain.

Application of MultiColor FlpOut Technique to Study High Resolution Single Cell Morphologies and Cell Interactions of Glia in Drosophila

Cells display different morphologies and establish a variety of interactions with their neighbors. This protocol describes how to reveal the morphology of single cells and to investigate cell-cell interaction by using the well-established Gal4/UAS expression system.

Cells display different morphologies and complex anatomical relationships. How do cells interact with their neighbors? Do the interactions differ between ...

An Automated Rapid Iterative Negative Geotaxis Assay for Analyzing Adult Climbing Behavior in a Drosophila Model of Neurodegeneration

Neurodegenerative diseases are frequently associated with a progressive loss of movement ability, reduced life span, and age-dependent neurodegeneration. To understand the mechanism of these cellular events, and their causal relationships with each other, Drosophila melanogaster, with its sophisticated genetic tools and diverse behavioral features, are used as disease models for assessing neurodegenerative phenotypes. Here we describe a high-throughput method to analyze Drosophila adult negative geotaxis behavior, as an indication for possible motor defects associated with neurodegeneration. An automated machine is designed and developed to drive fly synchronization using an initial electric impulse, later allowing the recording of negative geotaxis behavior over a course of secs to mins. Images from the digitally recorded video are then processed with the self-designed RflyDetection software for statistical data manipulation. Different from the manually controlled negative geotaxis assay based on single fly, this precise, fast, and high-throughput protocol allows data acquisition from more than hundreds of flies simultaneously, providing an efficient approach to advance our understanding in the underlying mechanism of locomotor deficits associated with neurodegeneration.

An Automated Rapid Iterative Negative Geotaxis Assay for Analyzing Adult Climbing Behavior in a Drosophila Model of Neurodegeneration

This step-by-step protocol analyzes Drosophila negative geotaxis behavior using an automated multi-cylinder system that hosts hundreds of flies and synchronizes their action by an electric motor. Upon synchronization, fly negative geotaxis behavior is assayed, digitally recorded, and analyzed using the self-designed RflyDetection software.

Neurodegenerative diseases are frequently associated with a progressive loss of movement ability, reduced life span, and age-dependent neurodegeneration. ...

A Simple and Low-cost Assay for Measuring Ambulation in Mouse Models of Muscular Dystrophy

Measuring functional outcomes in the treatment of muscular dystrophy is an essential aspect of preclinical testing. The assessment of voluntary ambulation in mouse models is a non-invasive and reproducible activity assay that is directly analogous to measures of patient ambulation such as the 6-minute walk test and related mobility scores. Many common methods for testing mouse ambulation speed and distance are based on the open field test, where an animal&#39;s free movement within an arena is measured over time. One major downside to this approach is that commercial software and equipment for high-resolution motion tracking is expensive and may require transferring mice to specialized facilities for testing. Here, we describe a low-cost, video-based system for measuring mouse ambulation that utilizes free and open-source software. Using this protocol, we demonstrate that voluntary ambulation in the dystrophin-null mdx mouse model for Duchenne muscular dystrophy (DMD) is decreased relative to wild-type mouse activity. In mdx mice expressing the utrophin transgene, these activity deficits are not observed and the total distance traveled is indistinguishable from wild-type mice. This method is effective for measuring changes in voluntary ambulation associated with dystrophic pathology, and provides a versatile platform that can be readily adapted to diverse research settings.

This protocol describes a flexible, low-cost system for measuring mouse ambulation in an open field activity assay. We show that a 6-minute ambulation assay based on this system detects a decrease in voluntary movement in mdx mice, and accurately distinguishes improvement in a muscle-specific rescue of these animals.

Measuring functional outcomes in the treatment of muscular dystrophy is an essential aspect of preclinical testing. The assessment of voluntary ambulation ...