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DANCE provides an open-source and low-cost approach to quantify aggression and courtship in Drosophila.

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Τίτλος: DANCE provides an open-source and low-cost approach to quantify aggression and courtship in Drosophila.
Συγγραφείς: Yadav RSP; Centre for Molecular Neurosciences, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, India., Dey P; Centre for Molecular Neurosciences, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, India., Ansari F; Centre for Molecular Neurosciences, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, India., Kottat T; Centre for Molecular Neurosciences, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, India., Vasam M; Centre for Molecular Neurosciences, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, India., Prabhu PP; Centre for Molecular Neurosciences, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, India., Ayyangar S; Centre for Molecular Neurosciences, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, India., S SB; Centre for Molecular Neurosciences, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, India., Prabhu K; Department of Biochemistry, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, India., Ghosh M; Centre for Molecular Neurosciences, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, India., Agrawal P; Centre for Molecular Neurosciences, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, India.
Πηγή: ELife [Elife] 2025 Dec 29; Vol. 14. Date of Electronic Publication: 2025 Dec 29.
Τύπος έκδοσης: Journal Article
Γλώσσα: English
Στοιχεία περιοδικού: Publisher: eLife Sciences Publications, Ltd Country of Publication: England NLM ID: 101579614 Publication Model: Electronic Cited Medium: Internet ISSN: 2050-084X (Electronic) Linking ISSN: 2050084X NLM ISO Abbreviation: Elife Subsets: MEDLINE
Imprint Name(s): Original Publication: Cambridge, UK : eLife Sciences Publications, Ltd., 2012-
Ιατρικοί όροι (MeSH): Drosophila melanogaster*/physiology , Drosophila*/physiology , Aggression* , Courtship* , Sexual Behavior, Animal*, Animals ; Male ; Female ; Machine Learning ; Behavior, Animal
Περίληψη: Quantifying animal behavior is pivotal for identifying the neuronal and genetic mechanisms involved. Computational approaches have enabled automated analysis of complex behaviors such as aggression and courtship in Drosophila. However, existing approaches rely on rule-based algorithms and expensive hardware, limiting sensitivity to behavioral variations and accessibility. Here, we present the Drosophila Aggression and Courtship Evaluator (DANCE), a low-cost, open-source platform that combines machine learning-based classifiers and inexpensive hardware to quantify aggression and courtship. DANCE consists of six novel behavioral classifiers trained using a supervised machine learning algorithm. DANCE classifiers address key limitations of rule-based algorithms, capturing dynamic behavioral variations more effectively. DANCE hardware is constructed using medicine blister packs and acrylic sheets, with recordings acquired using smartphones, making it affordable and accessible. Benchmarking demonstrated that DANCE hardware performs comparably to high-cost setups. We validated DANCE in diverse contexts, including social isolation vs. enrichment, which modulates aggression and courtship; RNAi-mediated downregulation of the neuropeptide Dsk; and optogenetic silencing of dopaminergic neurons, which promotes aggression. DANCE provides a cost-effective and portable solution for studying behaviors in resource-limited settings or near natural habitats. Its accessibility and robust performance democratize behavioral neuroscience, enabling rapid screening of genes and neuronal circuits underlying complex social behaviors.
(© 2025, Yadav, Dey et al.)
Competing Interests: RY, FA, PA RSPY, FA and PA are listed as inventors on a published patent related to this work by the Indian patent office, titled 'Device For Measuring Complex Social Behaviors In Small Insects', Application No. 202441072884, PD, TK, MV, PP, SA, SS, KP, MG No competing interests declared
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Grant Information: P40 OD018537 United States OD NIH HHS; BT/RLF Department of Biotechnology, India; Re-entry/34/2018 Department of Biotechnology, India; BT/PR36166/BRB/10/1859/2020 Department of Biotechnology, India; CRG/2022/006846 Anusandhan National Research Foundation (ANRF), Ministry of Science and Technology, Government of India; 201516-NFST-2015-17-ST-TEL-806-RENEWAL-2021-22 NFST, Ministry of Tribal Affairs, Government of India; DST/INSPIRE/03/2023/001786 Department of Science and Technology (DST); TMA Pai fellowship MAHE, India
Contributed Indexing: Keywords: D. melanogaster; Drosophila; aggression; computer vision; courtship; machine learning; neuroscience
Entry Date(s): Date Created: 20251229 Date Completed: 20251229 Latest Revision: 20260101
Update Code: 20260130
PubMed Central ID: PMC12747525
DOI: 10.7554/eLife.105465
PMID: 41459640
Βάση Δεδομένων: MEDLINE
Περιγραφή
ISSN:2050-084X
DOI:10.7554/eLife.105465