Simple methods to acutely measure multiple timing metrics among the sexual repertoire of male Drosophila

Abstract Male Drosophila courtship behavior is a key model for studying temporal decision-making. While courtship index (CI) is widely used to quantify mating activity, other timing metrics like courtship latency, copulation latency (CL), and mating duration (MD) remain understudied. Traditional methods for quantifying these behaviors are often labor-intensive and prone to human error. In this study, we present a protocol combining a modular chamber system and automated software (DrosoMating) to quantify 6 key timing metrics during male courtship. Our image-based video analysis enables precise identification of courtship and copulation events, as well as quantification of their timing and duration under controlled conditions. Validation shows <0.05% error rates and 98–99% agreement with manual scoring for CL, CI, and MD. The protocol supports genetic and neural circuit manipulations, detecting subtle genetic, social, and environmental behavioral variations. By minimizing manual effort and standardizing data collection, this approach facilitates scalable, reproducible studies on adaptive trade-offs, learning, and neural mechanisms in mating behavior. This method streamlines timing analysis in male courtship, offering reproducible metrics for behavioral genetics. Highlight A high-throughput software pipeline for automated temporal profiling of Drosophila melanogaster mating behavior after brief user-guided calibration. An accompanying, open-hardware platform that can be assembled at minimal cost while maintaining experimental rigor. The system attains near-manual accuracy and outputs Temporal Measurement Parameters data that are readily adaptable to—and quantifiable within—diverse behavioral paradigms.

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Publication Details

Journal
eLife
Published
2026-11-06
DOI
https://doi.org/10.7554/elife.109742.3
Citations
1
Primary Topic
Neurobiology and Insect Physiology Research
Type
article
Field-Weighted Citation Impact
1.64

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article

Simple methods to acutely measure multiple timing metrics among the sexual repertoire of male Drosophila

Dongyu Sun, Yutong Song, Xiao Liu, Xuejiao Yang et al.
1 citations
eLife
Neurobiology and Insect Physiology Research
1.64
article

Simple methods to acutely measure multiple timing metrics among the sexual repertoire of male Drosophila

Dongyu Sun, Yutong Song, Xiao Liu, Xuejiao Yang, Woo Jae Kim
article en
1 citations

Abstract

Abstract Male Drosophila courtship behavior is a key model for studying temporal decision-making. While courtship index (CI) is widely used to quantify mating activity, other timing metrics like courtship latency, copulation latency (CL), and mating duration (MD) remain understudied. Traditional methods for quantifying these behaviors are often labor-intensive and prone to human error. In this study, we present a protocol combining a modular chamber system and automated software (DrosoMating) to quantify 6 key timing metrics during male courtship. Our image-based video analysis enables precise identification of courtship and copulation events, as well as quantification of their timing and duration under controlled conditions. Validation shows <0.05% error rates and 98–99% agreement with manual scoring for CL, CI, and MD. The protocol supports genetic and neural circuit manipulations, detecting subtle genetic, social, and environmental behavioral variations. By minimizing manual effort and standardizing data collection, this approach facilitates scalable, reproducible studies on adaptive trade-offs, learning, and neural mechanisms in mating behavior. This method streamlines timing analysis in male courtship, offering reproducible metrics for behavioral genetics. Highlight A high-throughput software pipeline for automated temporal profiling of Drosophila melanogaster mating behavior after brief user-guided calibration. An accompanying, open-hardware platform that can be assembled at minimal cost while maintaining experimental rigor. The system attains near-manual accuracy and outputs Temporal Measurement Parameters data that are readily adaptable to—and quantifiable within—diverse behavioral paradigms.

eLifeVol. 15
University of Science and Technology of China (CN), Harbin Institute of Technology (CN)
Harbin Institute of Technology
Openalex Percentile: Top 24%
Neurobiology and Insect Physiology Research
1.64
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