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DVT:一种用于成年黑腹果蝇运动和社会行为的高通量分析流程。

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

作者信息

Mi Kai, Li Yiqing, Yang Yuhang, Secombe Julie, Liu Xingyin

机构信息

Department of Pathogen Biology-Microbiology Division, State Key Laboratory of Reproductive Medicine and Offspring Health, Key Laboratory of Pathogen of Jiangsu Province, Key Laboratory of Human Functional Genomics of Jiangsu Province, Center of Global Health, Nanjing Medical University, Nanjing, 211166, China.

The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, China.

出版信息

Cell Biosci. 2023 Oct 5;13(1):187. doi: 10.1186/s13578-023-01125-0.

DOI:10.1186/s13578-023-01125-0
PMID:37798731
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10557313/
Abstract

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 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.

摘要

背景

黑腹果蝇是理解人类神经和运动障碍分子基础的优秀动物模型。不同研究之间的实验条件和实验箱设计各不相同。此外,大多数先前建立的范式都集中在果蝇轨迹检测算法的开发上。目前仍缺乏对果蝇在实验箱中行为方式的全面了解。

结果

在本报告中,我们建立了74个独特的行为指标,用于量化成年果蝇运动和社会行为的时空特征,其中49个是新提出的。借助所开发的分析流程——果蝇视频跟踪(DVT),我们确定了果蝇在面对不同实验箱高度、果蝇密度、光照和实验时间时行为模式的显著差异。同时,发现广泛用作对照品系的三种果蝇品系,即标准型(CS)、白眼型(w)和俄勒冈-R型(OR),表现出明显不同的运动爆发力和运动耐力。

结论

我们认为,所提出的行为指标集和流程应有助于识别果蝇在面对不同环境因素或基因变异时行为的细微时空差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5998/10557313/58edef59d026/13578_2023_1125_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5998/10557313/080236c89077/13578_2023_1125_Fig1_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5998/10557313/e52c2537836b/13578_2023_1125_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5998/10557313/9f1c338833e4/13578_2023_1125_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5998/10557313/0a8c776979c6/13578_2023_1125_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5998/10557313/1b01d607c13e/13578_2023_1125_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5998/10557313/58edef59d026/13578_2023_1125_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5998/10557313/080236c89077/13578_2023_1125_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5998/10557313/bb2d1a0daa78/13578_2023_1125_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5998/10557313/e52c2537836b/13578_2023_1125_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5998/10557313/9f1c338833e4/13578_2023_1125_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5998/10557313/0a8c776979c6/13578_2023_1125_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5998/10557313/1b01d607c13e/13578_2023_1125_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5998/10557313/58edef59d026/13578_2023_1125_Fig7_HTML.jpg

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