High-resolution, high-throughput analysis of <i>Drosophila</i> geotactic behavior

Drosophila's innate response to gravity, geotaxis, has been used to assess the impact of aging and disease on motor performance. Despite its rich history, fly geotaxis continues to be largely measured manually and assessed through simplistic metrics, limiting analytic insights into the behavior. Here, we have constructed a fully programmable apparatus and developed a multi-object tracking software capable of following sub-second movements of individual flies, thus allowing quantitative analysis of geotaxis. The apparatus monitors 10 fly cohorts simultaneously, with each cohort consisting of up to 7 flies. The software tracks single flies during the entire run with ∼97% accuracy, yielding detailed climbing curve, speed and movement direction with 1/30 s resolution. Our tracking permits the construction of multi-variable metrics and the detection of transitory movement phenotypes, such as slips and falls. The platform is therefore poised to advance Drosophila geotaxis assay into a comprehensive assessment of locomotor behavior.

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Publication Details

Journal
Journal of Experimental Biology
Published
2025-02-15
DOI
https://doi.org/10.1242/jeb.248029
Citations
1
Primary Topic
Neurobiology and Insect Physiology Research
Type
article
Field-Weighted Citation Impact
0.91

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article

High-resolution, high-throughput analysis of Drosophila geotactic behavior

Juan Antonio López, Tijana Canic, R. Grace Zhai, Sheyum Syed et al.
1 citations
Journal of Experimental Biology
Neurobiology and Insect Physiology Research
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article

High-resolution, high-throughput analysis of Drosophila geotactic behavior

Juan Antonio López, Tijana Canic, R. Grace Zhai, Sheyum Syed, Natalie Ortiz-Vega
article en
1 citations

Abstract

Drosophila's innate response to gravity, geotaxis, has been used to assess the impact of aging and disease on motor performance. Despite its rich history, fly geotaxis continues to be largely measured manually and assessed through simplistic metrics, limiting analytic insights into the behavior. Here, we have constructed a fully programmable apparatus and developed a multi-object tracking software capable of following sub-second movements of individual flies, thus allowing quantitative analysis of geotaxis. The apparatus monitors 10 fly cohorts simultaneously, with each cohort consisting of up to 7 flies. The software tracks single flies during the entire run with ∼97% accuracy, yielding detailed climbing curve, speed and movement direction with 1/30 s resolution. Our tracking permits the construction of multi-variable metrics and the detection of transitory movement phenotypes, such as slips and falls. The platform is therefore poised to advance Drosophila geotaxis assay into a comprehensive assessment of locomotor behavior.

Journal of Experimental BiologyVol. 228(4)
University of Miami (US), University of Chicago (US)
National Science Foundation, University of Miami, National Institutes of Health
Openalex Percentile: Top 30%
Neurobiology and Insect Physiology Research
0.91
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