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Multi-channel acoustic recording and automated analysis of Drosophila courtship songs

机译:果蝇求爱歌曲的多声道录音和自动分析

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Background Drosophila melanogaster has served as a powerful model system for genetic studies of courtship songs. To accelerate research on the genetic and neural mechanisms underlying courtship song, we have developed a sensitive recording system to simultaneously capture the acoustic signals from 32 separate pairs of courting flies as well as software for automated segmentation of songs. Results Our novel hardware design enables recording of low amplitude sounds in most laboratory environments. We demonstrate the power of this system by collecting, segmenting and analyzing over 18 hours of courtship song from 75 males from five wild-type strains of Drosophila melanogaster . Our analysis reveals previously undetected modulation of courtship song features and extensive natural genetic variation for most components of courtship song. Despite having a large dataset with sufficient power to detect subtle modulations of song, we were unable to identify previously reported periodic rhythms in the inter-pulse interval of song. We provide detailed instructions for assembling the hardware and for using our open-source segmentation software. Conclusions Analysis of a large dataset of acoustic signals from Drosophila melanogaster provides novel insight into the structure and dynamics of species-specific courtship songs. Our new system for recording and analyzing fly acoustic signals should therefore greatly accelerate future studies of the genetics, neurobiology and evolution of courtship song.
机译:背景果蝇已经成为了对求爱歌曲进行遗传研究的强大模型系统。为了加快对求爱歌曲背后的遗传和神经机制的研究,我们开发了一种灵敏的记录系统,可以同时捕获32对单独的求爱苍蝇对声音信号以及用于自动分割歌曲的软件。结果我们新颖的硬件设计可在大多数实验室环境中记录低振幅声音。我们通过收集,分割和分析来自五个果蝇果蝇野生型菌株的75名男性的18个小时求爱歌曲,证明了该系统的功能。我们的分析揭示了以前未发现的对求爱歌曲特征的调制以及对求爱歌曲大部分内容的广泛自然遗传变异。尽管拥有足够强大的大型数据集来检测歌曲的细微调制,但我们无法在歌曲的脉冲间间隔中识别先前报告的周期性节律。我们提供了组装硬件和使用开源细分软件的详细说明。结论对黑腹果蝇声信号的大型数据集的分析为物种特定求爱歌曲的结构和动力学提供了新颖的见解。因此,我们用于记录和分析飞行声信号的新系统将极大地加快对遗传学,神经生物学和求爱歌曲演变的未来研究。

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