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作 者:王贺[1] 王辉[2] 王卫杰[1] 李嘉[3] 赵文爱[1] 齐莉莉[1]
机构地区:[1]河北医科大学病原生物学教研室,石家庄050017 [2]河北医科大学第一医院骨科,石家庄050000 [3]河北医科大学临床学院教务科,石家庄050000
出 处:《昆虫学报》2017年第2期222-228,共7页Acta Entomologica Sinica
摘 要:【目的】研究自然条件下铜绿蝇Lucilia cuprina蛹期蛹壳颜色变化和蛹的形态发育规律从而为死后间隔时间(postmortem interval,PMI)的推断提供理论依据。【方法】在室外自然条件下饲养铜绿蝇直至其化蛹,每12 h取蛹10头,固定、观察,并利用图像分析系统收集并分析蛹壳颜色的变化信息;在体式显微镜下剥离蛹壳,观察蛹体外部形态变化并拍照记录,描述蛹期发育特征。【结果】自然条件下,铜绿蝇蛹壳颜色随时间呈现逐渐加深趋势,尤其在化蛹初期和临近羽化时变化明显,根据采集到的蛹壳颜色RGB值可做出标准色板。蛹的形态发育呈规律性变化,可将蛹期划分为8个阶段,包括隐头期、显头期、棕翅期、黑鬃胸期、黑鬃腹期、半红眼期、红眼期和预成虫期。【结论】在案发现场,蛹壳颜色标准色板可用于目视比色,初步粗略估算蛹期,同时依据蛹期发育阶段进程表可进一步推算化蛹后时间,从而推断PMI。【Aim 】 This study aims to examine the changing trend of puparium color and the pupal morphogenesis of Lucilia cuprina so as to provide relatively systematic pupal developmental data of this insect for the estimation of the postmortem interval( PMI). 【Methods】Ten pupae were sampled at 12 h intervals from prepupa to emergence under natural conditions. The sampled pupae were fixed and observed,and the corresponding color indexes of puparium were collected and analyzed by digital image processing system. Then the pupae were dissected and their puparia were removed,and the external morphological changes of the pupae were observed and photographed under stereomicroscope. The morphological characteristics of pupae were described. 【Results 】 The color of L. cuprina puparium gradually deepened with the developmental time,and obvious changes were observed at the beginning and final time of the pupal period. Based on the analyzed RGB indexes,a standard color plate of puparium was made. The pupal morphogenesis can be divided into eight stages,including cryptocephalic stage,phanerocephalic stage,brown thorax setae stage,tanned thorax setae stage,tanned abdomen setae stage,part pigmented eye stage,entire pigmented eye stage and preadult stage. 【Conclusion 】At the crime scene,the standard color plate of puparium can be used to preliminarily estimate the pupal stage through visual comparison,and based on the chronometrical morphology of L. cuprina pupae,the postmortem interval can be deduced.
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