Molecular characterization of gut microbial shift in SD rats after death for 30 days

Li, Huan; Yang, Eun Jin; Zhang, Siruo; Zhang, Jing; Lu, Yuan; Liu, Ruina; Ullah, Shakir; Wang, Qi; Mushtaq, Nosheen; Shi, Yi; An, Cuihong; Wang, Zhenyuan; Xu, Jiru

doi:10.1007/s00203-020-01889-w

Cited by 17 publications

(6 citation statements)

References 38 publications

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“…Ochrobactrum, Agrobacterium, Leptothrix, Aminobacter, Bradyrhizobium, and Phyllobacterium had significantly higher relative abundances in postmortem brain samples than in other organs during 1 day of decomposition. Ochrobactrum [40] and Agrobacterium [41] were reported to be associated with corpse decomposition. Leptothrix can be found in environments with sufficient amounts of organic matter, which may suggest its decomposition capacity.…”

Section: Discussionmentioning

confidence: 99%

Dissecting the microbial community structure of internal organs during the early postmortem period in a murine corpse model

Liu

Zhang

et al. 2023

BMC Microbiol

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Background Microorganisms distribute and proliferate both inside and outside the body, which are the main mediators of decomposition after death. However, limited information is available on the postmortem microbiota changes of extraintestinal body sites in the early decomposition stage of mammalian corpses. Results This study investigated microbial composition variations among different organs and the relationship between microbial communities and time since death over 1 day of decomposition in male C57BL/6 J mice by 16S rRNA sequencing. During 1 day of decomposition, Agrobacterium, Prevotella, Bacillus, and Turicibacter were regarded as time-relevant genera in internal organs at different timepoints. Pathways associated with lipid, amino acid, carbohydrate and terpenoid and polyketide metabolism were significantly enriched at 8 h than that at 0.5 or 4 h. The microbiome compositions and postmortem metabolic pathways differed by time since death, and more importantly, these alterations were organ specific. Conclusion The dominant microbes differed by organ, while they tended toward similarity as decomposition progressed. The observed thanatomicrobiome variation by body site provides new knowledge into decomposition ecology and forensic microbiology. Additionally, the microbes detected at 0.5 h in internal organs may inform a new direction for organ transplantation.

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Section: Discussionmentioning

confidence: 99%

Dissecting the microbial community structure of internal organs during the early postmortem period in a murine corpse model

Liu

Zhang

et al. 2023

BMC Microbiol

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“…Ochrobactrum, Agrobacterium, Leptothrix, Aminobacter, Bradyrhizobium, and Phyllobacterium had signi cant higher relative abundances in postmortem brain samples than in other organs during 1 day of decomposition. Ochrobactrum [53] and Agrobacterium [54] were reported to be associated with corpse decomposition. Leptothrix can be found in environments with su cient amounts of organic matter, which may suggest its decomposition capacity.…”

Section: Discussionmentioning

confidence: 99%

Dissecting the Microbial Community Structure of Internal Organs During the Early Postmortem Period in a Murine Corpse Model

Liu

Zhang

et al. 2021

Preprint

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Background Microorganisms inhabit and proliferate throughout the body both externally and internally, which are the primary mediators of putrefaction after death. However, limited information is available about the changes in the postmortem microbiota of extraintestinal body sites in the early decomposition stage of mammalian corpses. Results This study applied 16S rRNA barcoding to investigate microbial composition variations among different organs and the relationship between microbial communities and time since death over 1 day of decomposition. During 1 day of decomposition, Agrobacterium, Prevotella, Bacillus, and Turicibacter were regarded as time-relevant genera in internal organs at different timepoints. Pathways associated with lipid, amino acid, carbohydrate and terpenoid and polyketide metabolism were significantly enriched at 8 hours than that at 0.5 or 4 hours. The microbiome compositions and postmortem metabolic pathways differed by time since death, and more importantly, these alterations were organ specific. Conclusion The dominant microbes differed by organ, while they tended toward similarity as decomposition progressed. The observed thanatomicrobiome variation by body site provides new knowledge into decomposition ecology and forensic microbiology. Additionally, the microbes detected at 0.5 hours in internal organs may inform a new direction for organ transplantation.

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“…In recent years, numerous studies have been conducted on the succession pattern of microbial communities and PMI prediction based on different organs in both human remains and animal models. There are dramatic postmortem changes of microbial community succession in different organs ( Pechal et al, 2014 ; DeBruyn and Hauther, 2017 ; Dash and Das, 2022 ) The diversity of most microorganisms shows similar decreasing trends with PMI, presenting a significant negative linear correlation ( Pechal et al, 2014 ; DeBruyn and Hauther, 2017 ; Li et al, 2020 ). At the phylum level, Proteobacteria and Firmicutes dominate the microbial communities in different postmortem organs in both terrestrial and water environments, making them potential markers for PMI or postmortem submersion interval (PMSI) prediction ( Benbow et al, 2015 ; He et al, 2019 ; Javan et al, 2019 ; Yuan et al, 2020 ; Dash and Das, 2022 ).…”

Section: Postmortem Microbial Succession In Cadaversmentioning

confidence: 99%

Advances in artificial intelligence-based microbiome for PMI estimation

et al. 2022

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Postmortem interval (PMI) estimation has always been a major challenge in forensic science. Conventional methods for predicting PMI are based on postmortem phenomena, metabolite or biochemical changes, and insect succession. Because postmortem microbial succession follows a certain temporal regularity, the microbiome has been shown to be a potentially effective tool for PMI estimation in the last decade. Recently, artificial intelligence (AI) technologies shed new lights on forensic medicine through analyzing big data, establishing prediction models, assisting in decision-making, etc. With the application of next-generation sequencing (NGS) and AI techniques, it is possible for forensic practitioners to improve the dataset of microbial communities and obtain detailed information on the inventory of specific ecosystems, quantifications of community diversity, descriptions of their ecological function, and even their application in legal medicine. This review describes the postmortem succession of the microbiome in cadavers and their surroundings, and summarizes the application, advantages, problems, and future strategies of AI-based microbiome analysis for PMI estimation.

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Molecular characterization of gut microbial shift in SD rats after death for 30 days

Cited by 17 publications

References 38 publications

Dissecting the microbial community structure of internal organs during the early postmortem period in a murine corpse model

Dissecting the microbial community structure of internal organs during the early postmortem period in a murine corpse model

Dissecting the Microbial Community Structure of Internal Organs During the Early Postmortem Period in a Murine Corpse Model

Advances in artificial intelligence-based microbiome for PMI estimation

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