微生物检验技术在死亡时间推断中的应用

Application of microbiological examination in the estimation of postmortem interval

摘要:

死亡时间的推断一直是法医学鉴定中的重要内容之一。近年来，随着高通量测序技术的不断成熟、生物信息学和机器学习方法的迅猛发展，基于尸体微生物群落结构的变化研究为推断死亡时间提供了一种新的可能性。微生物群落随腐败时间推进的演替规律可以用于死亡时间的推断。本文从尸体腐败现象的本质入手，总结了利用尸体微生物推断死亡时间研究的技术方法和实际应用，并对尚存在的问题和应用前景进行了展望。

Abstract:

Postmortem interval (PMI) estimation is one of the important contents in forensic identification. In recent years, with the development of high-throughput sequencing, bioinformatics, and machine learning, the changes of microbial community structure provide a new possibility for PMI estimation. The evolution pattern of the microbial community in the process of decomposition can be used to predict PMI. From the nature of cadaver decomposition, we summarize the examination methods and applications of cadaver microbial changes, and discuss the problems and prospects of using the microbial community changes to predict PMI.