Kranz William, Carroll Clinton, Dixon Darren A, Goodpaster John V, Picard Christine J
Department of Chemistry and Chemical Biology, Indiana University Purdue University Indianapolis, Indianapolis, IN 46202, USA.
Forensic and Investigative Sciences Program, Indiana University Purdue University Indianapolis, Indianapolis, IN 46202, USA.
Insects. 2017 Apr 11;8(2):43. doi: 10.3390/insects8020043.
Alternative methods for the identification of species of blow fly pupae have been developed over the years that consist of the analyses of chemical profiles. However, the effect of biotic and abiotic factors that could influence the predictive manner for the tests have not been evaluated. The lipids of blowfly pupae (, , , and ) were extracted in pentane, derivatized, and analyzed by total-vaporization solid phase microextraction gas chromatography-mass spectrometry (TV-SPME GC-MS). Peak areas for 26 compounds were analyzed. Here we evaluated one biotic factor (colonization) on four species of blow flies to determine how well a model produced from lipid profiles of colonized flies predicted the species of flies of offspring of wild-caught flies and found very good species identification following 10 generations of inbreeding. When we evaluated four abiotic factors in our fly rearing protocols (temperature, humidity, pupation substrate, and diet), we found that the ability to assign the chemical profile to the correct species was greatly reduced.
多年来已开发出用于鉴定丽蝇蛹种类的替代方法,这些方法包括化学特征分析。然而,尚未评估可能影响测试预测方式的生物和非生物因素的影响。将丽蝇蛹( 、 、 和 )的脂质在戊烷中提取、衍生化,然后通过全蒸发固相微萃取气相色谱 - 质谱联用仪(TV-SPME GC-MS)进行分析。分析了26种化合物的峰面积。在这里,我们评估了一种生物因素(定殖)对四种丽蝇的影响,以确定由定殖蝇的脂质谱生成的模型对野生捕获蝇后代的蝇类物种预测效果如何,并发现经过10代近亲繁殖后物种鉴定效果非常好。当我们在蝇类饲养方案中评估四个非生物因素(温度、湿度、化蛹基质和饮食)时,我们发现将化学特征归为正确物种的能力大大降低。