The necrobiome is the postmortem community that includes bacteria, fungi, arthropods, and other cadaver-associated organisms. It has been suggested as biological evidence for forensic investigation. Fungi form distinctive mildew spots in colonizing decomposing bodies, converting them into moldy cadavers. However, the postmortem fungal community consists of more than these visible species. Characterizing the succession pattern of the fungal community during decomposition is valuable not only for understanding the ecosystem composition of the cadaver decomposition islands but also for contributing to forensic investigations. In the present study, the fungal composition of pig cadavers and succession patterns during decomposition were investigated with high-throughput sequencing. The succession patterns were easier to discern in outdoor cadavers, compared with those that were placed indoors. The metabarcoding approach revealed trends linking particular fungal taxa with specific postmortem intervals (PMIs). Dominant species increased notably in cadavers and soil. Furthermore, the succession of the soil community was driven by the cadaver decomposition. Significant mycoflora differences were observed between environmental and cadaveric soil. The results obtained suggested that postputrefaction mycoflora have considerable potential for PMI estimation, particularly in cases that involve heavily decomposed bodies. In addition, the diversity of fungal communities revealed by the metabarcoding approach allowed us to discriminate the sites of cadaver decomposition, implying that postputrefaction mycoflora may be helpful in identifying the environment in which a cadaver has been placed, or the original location from which a cadaver has been moved. Our results provide an important step towards developing fungal evidence for use in forensic science and add to the growing body of work on postmortem microbial communities.

Blow flies are among the most important insects in forensic entomology casework. Identification of blow fly species can be a time consuming and difficult task, especially at their early development stages. Present DNA-based technologies provide a promising identification method for these forensically important calliphorids. The cytochrome oxidase subunit I (COI) sequence has been applied as a suitable DNA marker in calliphorid identification for many years; however, limitation exists in using short sequence to determine genetically close species. In this study, COI long sequences were utilized in species-level identification. Seventy-two specimens were collected from 27 locations across 22 Chinese provinces, and unambiguously determined as 16 species under seven genera of Calliphoridae. Analysis of long mitochondrial COI sequence (1,021-1,382 bp) data from forensically relevant blow flies collected in the inland region of China provided a reliable marker for accurate identification. Our data provide genetic diversity and reference for global forensic-related blow fly species identification, and conductive meaning on future utilization of Chinese calliphorids used in forensic entomological practice.

Background Blowflies (Diptera: Calliphoridae) are the most commonly found entomological evidence in forensic investigations. Distinguished from other blowflies, Aldrichina grahami has some unique biological characteristics and is a species of forensic importance. Its development rate, pattern, and life cycle can provide valuable information for the estimation of the minimum postmortem interval. Findings Herein we provide a chromosome-level genome assembly of A. grahami that was generated by Pacific BioSciences sequencing platform and chromosome conformation capture (Hi-C) technology. A total of 50.15 Gb clean reads of the A. grahami genome were generated. FALCON and Wtdbg were used to construct the genome of A. grahami, resulting in an assembly of 600 Mb and 1,604 contigs with an N50 size of 1.93 Mb. We predicted 12,823 protein-coding genes, 99.8% of which was functionally annotated on the basis of the de novo genome (SRA: PRJNA513084) and transcriptome (SRA: SRX5207346) of A. grahami. According to the co-analysis with 11 other insect species, clustering and phylogenetic reconstruction of gene families were performed. Using Hi-C sequencing, a chromosome-level assembly of 6 chromosomes was generated with scaffold N50 of 104.7 Mb. Of these scaffolds, 96.4% were anchored to the total A. grahami genome contig bases. Conclusions The present study provides a robust genome reference for A. grahami that supplements vital genetic information for nonhuman forensic genomics and facilitates the future research of A. grahami and other necrophagous blowfly species used in forensic medicine.

Bacteria acts as the main decomposer during the process of biodegradation by microbial communities in the ecosystem. Numerous studies have revealed the bacterial succession patterns during carcass decomposition in the terrestrial setting. The machine learning algorithm-generated models based on such temporal succession patterns have been developed for the postmortem interval (PMI) estimation. However, the bacterial succession that occurs on decomposing carcasses in the aquatic environment is poorly understood. In the forensic practice, the postmortem submersion interval (PMSI), which approximately equals to the PMI in most of the common drowning cases, has long been problematic to determine. In the present study, bacterial successions in the epinecrotic biofilm samples collected from the decomposing swine cadavers submerged in water were analyzed by sequencing the variable region 4 (V4) of 16S rDNA. The succession patterns between the repeated experimental settings were repeatable. Using the machine learning algorithm for establishing random forest (RF) models, the microbial community succession patterns in the epinecrotic biofilm samples taken during the 56-day winter trial and 21-day summer trial were determined to be used as the PMSI predictors with the mean absolute error (MAE) of 17.87 ± 2.48 ADD (≈1.3 day) and 20.59 ± 4.89 ADD (≈0.7 day), respectively. Significant differences were observed between the seasons and between the substrates. The data presented in this research suggested that the influences of the environmental factors and the aquatic bacterioplankton on succession patterns of the biofilm bacteria were of great significance. The related mechanisms of such influence need to be further studied and clarified in depth to consider epinecrotic biofilm as a reliable predictor in the forensic investigations.