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DVT: a high-throughput analysis pipeline for locomotion and social behavior in adult Drosophila melanogaster

BACKGROUND: Drosophila melanogaster is excellent animal model for understanding the molecular basis of human neurological and motor disorders. The experimental conditions and chamber design varied between studies. Moreover, most previously established paradigms focus on fly trace detection algorithm...

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Autores principales: Mi, Kai, Li, Yiqing, Yang, Yuhang, Secombe, Julie, Liu, Xingyin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10557313/
https://www.ncbi.nlm.nih.gov/pubmed/37798731
http://dx.doi.org/10.1186/s13578-023-01125-0
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author Mi, Kai
Li, Yiqing
Yang, Yuhang
Secombe, Julie
Liu, Xingyin
author_facet Mi, Kai
Li, Yiqing
Yang, Yuhang
Secombe, Julie
Liu, Xingyin
author_sort Mi, Kai
collection PubMed
description BACKGROUND: Drosophila melanogaster is excellent animal model for understanding the molecular basis of human neurological and motor disorders. The experimental conditions and chamber design varied between studies. Moreover, most previously established paradigms focus on fly trace detection algorithm development. A comprehensive understanding on how fly behaves in the chamber is still lacking. RESULTS: In this report, we established 74 unique behavior metrics quantifying spatiotemporal characteristics of adult fly locomotion and social behaviors, of which 49 were newly proposed. By the aiding of the developed analysis pipeline, Drosophila video tracking (DVT), we identified siginificantly different patterns of fly behavior confronted with different chamber height, fly density, illumination and experimental time. Meanwhile, three fly strains which are widely used as control lines, Canton-S(CS), w(1118) and Oregon-R (OR), were found to exhibit distinct motion explosiveness and exercise endurance. CONCLUSIONS: We believe the proposed behavior metrics set and pipeline should help identify subtle spatial and temporal differences of drosophila behavior confronted with different environmental factors or gene variants. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13578-023-01125-0.
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spelling pubmed-105573132023-10-07 DVT: a high-throughput analysis pipeline for locomotion and social behavior in adult Drosophila melanogaster Mi, Kai Li, Yiqing Yang, Yuhang Secombe, Julie Liu, Xingyin Cell Biosci Research BACKGROUND: Drosophila melanogaster is excellent animal model for understanding the molecular basis of human neurological and motor disorders. The experimental conditions and chamber design varied between studies. Moreover, most previously established paradigms focus on fly trace detection algorithm development. A comprehensive understanding on how fly behaves in the chamber is still lacking. RESULTS: In this report, we established 74 unique behavior metrics quantifying spatiotemporal characteristics of adult fly locomotion and social behaviors, of which 49 were newly proposed. By the aiding of the developed analysis pipeline, Drosophila video tracking (DVT), we identified siginificantly different patterns of fly behavior confronted with different chamber height, fly density, illumination and experimental time. Meanwhile, three fly strains which are widely used as control lines, Canton-S(CS), w(1118) and Oregon-R (OR), were found to exhibit distinct motion explosiveness and exercise endurance. CONCLUSIONS: We believe the proposed behavior metrics set and pipeline should help identify subtle spatial and temporal differences of drosophila behavior confronted with different environmental factors or gene variants. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13578-023-01125-0. BioMed Central 2023-10-05 /pmc/articles/PMC10557313/ /pubmed/37798731 http://dx.doi.org/10.1186/s13578-023-01125-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Mi, Kai
Li, Yiqing
Yang, Yuhang
Secombe, Julie
Liu, Xingyin
DVT: a high-throughput analysis pipeline for locomotion and social behavior in adult Drosophila melanogaster
title DVT: a high-throughput analysis pipeline for locomotion and social behavior in adult Drosophila melanogaster
title_full DVT: a high-throughput analysis pipeline for locomotion and social behavior in adult Drosophila melanogaster
title_fullStr DVT: a high-throughput analysis pipeline for locomotion and social behavior in adult Drosophila melanogaster
title_full_unstemmed DVT: a high-throughput analysis pipeline for locomotion and social behavior in adult Drosophila melanogaster
title_short DVT: a high-throughput analysis pipeline for locomotion and social behavior in adult Drosophila melanogaster
title_sort dvt: a high-throughput analysis pipeline for locomotion and social behavior in adult drosophila melanogaster
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10557313/
https://www.ncbi.nlm.nih.gov/pubmed/37798731
http://dx.doi.org/10.1186/s13578-023-01125-0
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