Research Progress on Microbial Community Succession in the Postmortem Interval Estimation
Qing-qing XIANG, Li-fang CHEN, Qin SU, Yu-kun DU, Pei-yan LIANG, Xiao-dong KANG, He SHI, Qu-yi XU, Jian ZHAO, Chao LIU, Xiao-hui CHEN
Affiliations
Qing-qing XIANG, Li-fang CHEN, Qin SU, Yu-kun DU, Pei-yan LIANG, Xiao-dong KANG, He SHI, Qu-yi XU, Jian ZHAO, Chao LIU, Xiao-hui CHEN
1.College of Forensic Medicine, Kunming Medical University, Kunming 650500, China;2.Institute of Criminal Science and Technology, Yunnan Provincial Public Security Department, Kunming 650228, China;3.Key Laboratory of Forensic Pathology, Ministry of Public Security, Guangzhou Forensic Science Institute, Guangzhou 510442, China;4.Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China;5.School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
The postmortem interval （PMI） estimation is a key and difficult point in the practice of forensic medicine, and forensic scientists at home and abroad have been searching for objective, quantifiable and accurate methods of PMI estimation. With the development and combination of high-throughput sequencing technology and artificial intelligence technology, the establishment of PMI model based on the succession of the microbial community on corpses has become a research focus in the field of forensic medicine. This paper reviews the technical methods, research applications and influencing factors of microbial community in PMI estimation explored by using high-throughput sequencing technology, to provide a reference for the related research on the use of microbial community to estimate PMI.
