Prospects of Application of Microbial Biofilm to Estimate PMI of Corpses in Water / 法医学杂志

In forensic pathology, the estimation of postmortem interval （PMI） has always been a difficult issue, and there is still lack of effective methods to estimate PMI of corpses in water. Microbial biofilm refers to the microbial population attached to non-biological or biological surfaces by microorganisms during microbial growth, that has a three-dimensional structure, surrounded by extracellular polymers and matrix networks created by itself. A series of community succession phenomena of microorganisms occur during the occurrence and development of microbial population. The microbial community and its succession process of this kind of biofilm attached to the surface of a corpse in water may become a new basis for estimation of the PMI of corpses in water. This review elucidates on the concept, classification, research methods, and influencing factors of biofilm and analyzes its application prospects in PMI estimation of corpses in water, which would provide new ideas for the researches in this field.

Research Progress of Aquatic Corpse Decomposition and Postmortem Submersion Interval Estimation / 法医学杂志

Human corpses can be found in a variety of aquatic environments. The decomposition of corpses in aquatic environments is different from those on land. A large number of factors influence the decomposition process in water, therefore postmortem submersion interval （PMSI） is difficult to estimate. To date, while studies on aquatic corpses are obviously fewer than those on terrestrial corpses, there are many problems in practical work. This review summarizes the stages and influencing factors of aquatic corpse decomposition, and introduces the relevant research progress of PMSI estimation based on decomposition stages, postmortem phenomena, aquatic insects, biofilm, and physical and chemical methods, in order to provide reference for aquatic decomposition researches and practices.

Application of High-throughput Sequencing in Researches of Cadaveric Microorganisms and Postmortem Interval Estimation / 法医学杂志

Necrobiome is the main factor causing the cadaver decomposition. Studying the microbial succession during decomposition is one of the main tasks of forensic microbiology. The interactive relationships among cadaver, environment and microorganisms are complicated. The microbial succession study relies on macroscopic monitoring of community composition and the diversity change in each decomposition stage. With the maturity and development of high-throughput sequencing （HTS）, the structure and diversity of microbial communities in different environments have been successively revealed. A new breakthrough to explore the cadaveric microorganisms has been opened as well. It has become the research hotspots in forensic microbiology to reveal the microbial succession in the process of cadaver decomposition and to interpret the essence of various decomposition phenomena by using HTS, which can provide a new reference for postmortem interval （PMI） estimation. The present paper reviews studies on PMI estimation by using cadaveric microorganism. Problems and application prospects of forensic microbiology studies are discussed on the basis of the current application of HTS technology in the exploration of microbial succession.

Bacterial Succession on Rat Carcasses and Applications for PMI Estimation / 法医学杂志

UNLABELLED@#Abstract:@*OBJECTIVE@#To investigate the bacterial succession on rat carcasses and to evaluate the use of bacterial succession for postmortem interval (PMI) estimation.@*METHODS@#Adult female SD rat remains were placed in carton boxes. The bacterial colonization of circumocular skin, mouth and vagina was collected to be identified using culture-dependent biochemical methods. The changes in community composition were regularly documented.@*RESULTS@#The bacterial succession in three habitats showed that Staphylococcus and Neisseria were predominated in early PMI, especially Staphylococcus aureus and Neisseria lactamica in 6 hours after death. Lactobacillus casei developed on the 3-4 days regularly, and kept stable at a certain level in late PMI.@*CONCLUSION@#The involvement of normal and putrefactive bacteria in three body habitats of rat remains can be used for PMI estimation.

Genetic Polymorphisms of 21 STR Loci in Hunan Province-based Han Population / 法医学杂志

OBJECTIVES@#To investigate the genetic polymorphisms of 21 short tandem repeat （STR） loci （D3S1358, D13S317, D7S820, D16S539, Penta E, D2S441, TPOX, TH01, D2S1338, CSF1PO, Penta D, D10S1248, D19S433, vWA, D21S11, D18S51, D6S1043, D8S1179, D5S818, D12S391 and FGA）.@*METHODS@#A total of 560 blood samples were collected from unrelated healthy individuals of Han population in Hunan Province. Chelex-100 extraction method was applied to the extraction of genomic DNA, and an AGCU EX22 Kit and 9700 STR amplification was used in amplification reactions. The products were separated and analyzed on 310 Genetic Analyzer.@*RESULTS@#A total of 248 alleles were observed, the allelic frequencies ranging from 0.001 to 0.518. Observation of genotype distributions for each locus showed no deviations from Hardy-Weinberg equilibrium except Penta E （P=0.023）. The combined power of discrimination, combined power of exclusion, and combined matching probability of the 21 STR loci were approximately 0.999 999 999 999 999 999 999 999 8, 0.999 999 998, and 1.36×10⁻²⁵, respectively.@*CONCLUSIONS@#The 21 STR loci show high polymorphisms in the Han population, which can provide valuable data and a theoretical basis for forensic individual identification and paternity testing.

Genetic polymorphism of nine non-CODIS STR loci in Hunan Province-based Chinese Han population / 法医学杂志

OBJECTIVE@#To determine the allelic frequency distribution and genetic parameters of nine non-CODIS DNA index systems of the short tandem repeat (STR) loci (D2S1772, D6S1043, D7S3048, D8S1132, D11S2368, D12S391, D13S325, D18S1364, and GATA198B05).@*METHODS@#A total of 353 blood samples were collected, extracted, amplified, and analyzed from unrelated healthy individuals of Han nationality in Hunan Province, China.@*RESULTS@#One hundred and fourteen alleles were observed in the population with corresponding allelic frequencies ranged from 0.001 0 to 0.323 0. For all the nine non-CODIS STR loci, the observed genotypic data showed no significant deviations from the Hardy-Weinberg equilibrium. The Ho, He, PIC, DP, and PE of the studied non-CODIS STR loci ranged from 0.1080 to 0.1950, 0.8050 to 0.8920, 0.7700 to 0.8600, 0.9250 to 0.9660 and 0.6070 to 0.7800, respectively.@*CONCLUSION@#Nine non-CODIS STR loci have high degrees of polymorphisms, which may be useful in individual forensic identification and parentage testing in forensic practice.