Estimation of postmortem interval has been a challenge in the field of forensic medicine.With the advancements in sequencing technology and microbiomics research,it has been discovered that there exists a strong correlation between the evolution pattern of microbial community and the postmortem interval in cadavers,providing a new methodology for and research on estimation of postmortem interval.In recent years,domestic and foreign scholars have conducted a lot of researches on the estimating postmortem interval in different environments(such as exposed,buried or in water)using forensic microbiology methods,and researchers have found that the microbial community patterns on cadavers have different characteristics in different environments.By combining the microbial community succession data and machine learning methods,models based on microbial community succession information have been constructed to estimate postmortem interval.These models improved the accuracy of postmortem interval estimation compared with previous methods.This paper summarized the similarities and differences in the patterns of microbial community succession of corpses in exposed,buried,and in water-immersion environments,and discussed the potential application of forensic microbiology to estimation of postmortem interval in forensic medicine.
关键词
法医微生物/死亡时间推断/高通量测序/机器学习
Key words
forensic microorganisms/estimation of postmortem interval/high-throughput sequencing/machine learning
维普
万方数据