首页> 美国卫生研究院文献>G3: GenesGenomesGenetics >Using Near-Infrared Spectroscopy to Resolve the Species Gender Age and the Presence of Wolbachia Infection in Laboratory-Reared Drosophila
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Using Near-Infrared Spectroscopy to Resolve the Species Gender Age and the Presence of Wolbachia Infection in Laboratory-Reared Drosophila

机译:使用近红外光谱法解析实验室培养的果蝇中的物种性别年龄和Wolbachia感染的存在。

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摘要

The aim of the study was to determine the accuracy of near-infrared spectroscopy (NIRS) in determining species, gender, age, and the presence of the common endosymbiont Wolbachia in laboratory-reared Drosophila. NIRS measures the absorption of light by organic molecules. Initially, a calibration model was developed for each study. An independent set with flies not involved in initial cross-validation was then used to validate the accuracy of each calibration model. Flies from the independent sets were correctly classified into Drosophila melanogaster and Drosophila simulans with 94% and 82% accuracy, respectively, whereas flies were successfully classified by gender with accuracy greater than 90%. In the age grading test, correlation plots of the actual and predicted age for males and females of D. melanogaster and D. simulans were shown to be overlapping between the adjacent age groups. It is, however, possible to predict the age of flies as less than 9 days of age with 62–88% accuracy and flies that are equal to or older than 9 days of age with 91–98% accuracy. Finally, we used NIRS to detect the presence of Wolbachia in flies. Flies from the independent sets were successfully identified as infected or not infected with Wolbachia with approximately 90% accuracy. These results suggest that NIRS has the potential to quantify the species, gender, and presence of Wolbachia in fly populations. However, additional optimization of the protocol may be necessary before the technique can reliably estimate fly age.
机译:该研究的目的是确定近红外光谱法(NIRS)在确定实验室饲养的果蝇中的种类,性别,年龄以及常见的共生共生沃尔巴克氏菌的准确性。 NIRS测量有机分子对光的吸收。最初,为每个研究开发了校准模型。然后使用不涉及果蝇的独立集合进行初始交叉验证,以验证每个校准模型的准确性。来自独立组的果蝇分别正确分类为果蝇果蝇和果蝇果蝇,准确度分别为94%和82%,而成功地按性别成功分类果蝇,准确度超过90%。在年龄分级测试中,D。melanogaster和D. simulans的男性和女性的实际和预测年龄的相关图显示在相邻年龄组之间重叠。但是,可以预测果蝇的年龄小于9天,准确度为62%到88%,而等于或大于9天的果蝇的准确度为91%到98%。最后,我们使用NIRS检测果蝇中是否存在Wolbachia。来自独立组的果蝇被成功鉴定为感染或未感染沃尔巴克氏菌,准确率约为90%。这些结果表明,NIRS具有量化果蝇种群中Wolbachia的种类,性别和存在的潜力。但是,在该技术可以可靠地估计飞行年龄之前,可能需要对协议进行其他优化。

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