Patrício Macedo Marcos, Arantes Luciano C, Tidon Rosana
Criminalistics Institute, Federal District Police Department, Brasília (DF), Brazil; Evolutionary Biology Laboratory, Institute of Biological Sciences, Universidade of Brasilia, Brazil.
Criminalistics Institute, Federal District Police Department, Brasília (DF), Brazil.
Forensic Sci Int. 2018 Dec;293:86-90. doi: 10.1016/j.forsciint.2018.10.009. Epub 2018 Oct 19.
Forensic entomologists rely on insects present in human remains to establish a minimum postmortem interval (PMI). Blowflies have been widely used in these estimates because they lay eggs on the victim's body shortly after death and, within hours, larvae hatch and grow at predictable rates. Hence, isomegalen diagrams based on larval size and local temperature are considered good models to estimate PMI. Still, most professional do not account for size sexual dimorphism in blowflies, which add uncertainty to predictive models by two mechanisms: (1) males and females might grow up to different sizes, and; (2) males and females might grow at different rates. In this study, we investigate sexual dimorphism and biases on the prediction of adult size in three species of blowflies (Lucilia sericata, Calliphora vicina and Calliphora vomitoria) reared under different larval densities. Estimated size range, stablished with and without sex discrimination, showed that females were larger than males in the three species. The ultimate size of adult stage, however, was more difficult to predict. C. vicina and C. vomitoria decrease as density raises but at different rates, and even males and females of the same species react differently to density increase. Adult size of L. sericata, in contrast, shows a slight increase with density. Except for C. vomitoria females, estimated size ranges are lower when species are divided by sex. Our results show that sex is an important factor to consider in PMI estimates. Scenarios for all three species shorten their estimated size ranges when compared to databases with no sex identification. Therefore, computing data by sex raises accuracy in size based predictive models.
法医昆虫学家依靠人类遗骸上出现的昆虫来确定最短死后间隔时间(PMI)。绿头苍蝇在这些估计中被广泛使用,因为它们在受害者死后不久就在尸体上产卵,并且在数小时内,幼虫孵化并以可预测的速度生长。因此,基于幼虫大小和当地温度的等大线图被认为是估计PMI的良好模型。然而,大多数专业人员并未考虑绿头苍蝇的大小性别二态性,这通过两种机制给预测模型增加了不确定性:(1)雄性和雌性可能生长到不同的大小,以及;(2)雄性和雌性可能以不同的速度生长。在本研究中,我们调查了在不同幼虫密度下饲养的三种绿头苍蝇(丝光绿蝇、红头丽蝇和反吐丽蝇)的性别二态性以及对成虫大小预测的偏差。在有和没有性别区分的情况下确定的估计大小范围表明,这三个物种中雌性比雄性大。然而,成虫阶段的最终大小更难预测。红头丽蝇和反吐丽蝇的大小随着密度增加而减小,但速度不同,甚至同一物种的雄性和雌性对密度增加的反应也不同。相比之下,丝光绿蝇的成虫大小随密度略有增加。除了反吐丽蝇的雌性外,按性别划分物种时估计的大小范围较低。我们的结果表明,性别是PMI估计中需要考虑的一个重要因素。与没有性别识别的数据库相比,所有三个物种的情况都缩短了它们估计的大小范围。因此,按性别计算数据提高了基于大小的预测模型的准确性。