首页> 美国卫生研究院文献>Proceedings of the National Academy of Sciences of the United States of America >Failure to reproduce period-dependent song cycles in Drosophila is due to poor automated pulse-detection and low-intensity courtship
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Failure to reproduce period-dependent song cycles in Drosophila is due to poor automated pulse-detection and low-intensity courtship

机译:果蝇未能重现与周期相关的歌曲周期这是由于自动脉冲检测能力差和求爱强度低所致

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摘要

Stern has criticized a body of work from several groups that have independently studied the so-called “Kyriacou and Hall” courtship song rhythms of male Drosophila melanogaster, claiming that these ultradian ∼60-s cycles in the interpulse interval (IPI) are statistical artifacts that are not modulated by mutations at the period (per) locus [Stern DL (2014) BMC Biol 12:38]. We have scrutinized Stern’s raw data and observe that his automated song pulse-detection method identifies only ∼50% of the IPIs found by manual (visual and acoustic) monitoring. This critical error is further compounded by Stern’s use of recordings with very little song, the large majority of which do not meet the minimal song intensity criteria which Kyriacou and Hall used in their studies. Consequently most of Stern’s recordings only contribute noise to the analyses. Of the data presented by Stern, only perL and a small fraction of wild-type males sing vigorously, so we limited our reanalyses to these genotypes. We manually reexamined Stern’s raw song recordings and analyzed IPI rhythms using several independent time-series analyses. We observe that perL songs show significantly longer song periods than wild-type songs, with values for both genotypes close to those found in previous studies. These per-dependent differences disappear when the song data are randomized. We conclude that Stern’s negative findings are artifacts of his inadequate pulse-detection methodology coupled to his use of low-intensity courtship song records.
机译:斯特恩批评了几个小组的工作,这些小组独立研究了男性果蝇的所谓“ Kyriacou and Hall”求爱歌曲节奏,声称在脉冲间隔(IPI)中这些超弧度〜60-s周期是统计假象(在每个时期)不受突变调节的[Stern DL(2014)BMC Biol 12:38]。我们仔细检查了Stern的原始数据,发现他的自动歌曲脉冲检测方法只能识别通过手动(视觉和听觉)监视找到的IPI的约50%。斯特恩使用很少的歌曲录音就使这一严重错误变得更加复杂,其中大部分不符合Kyriacou和Hall在研究中使用的最低歌曲强度标准。因此,大多数斯特恩的录音只会对分析产生干扰。在斯特恩(Stern)提供的数据中,只有per L 和一小部分的野生型雄性歌唱活跃,因此我们仅对这些基因型进行了重新分析。我们手动重新检查了斯特恩的原始歌曲录音,并使用几个独立的时间序列分析来分析IPI节奏。我们观察到,每 L 首歌曲显示的歌曲周期明显长于野生型歌曲,并且两种基因型的值都与之前的研究相近。当歌曲数据被随机化时,这些基于依存的差异消失。我们得出的结论是,斯特恩的负面发现是他的脉搏检测方法不完善以及使用低强度求爱歌曲记录的产物。

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