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Microbial communities in the liver and brain are informative for postmortem submersion interval estimation in the late phase of decomposition: A study in mouse cadavers recovered from freshwater
INTRODUCTION: Bodies recovered from water, especially in the late phase of decomposition, pose difficulties to the investigating authorities. Various methods have been proposed for postmortem submersion interval (PMSI) estimation and drowning identification, but some limitations remain. Many recent...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9705336/ https://www.ncbi.nlm.nih.gov/pubmed/36458191 http://dx.doi.org/10.3389/fmicb.2022.1052808 |
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author | Wang, Linlin Zhang, Fuyuan Zeng, Kuo Dong, Wenwen Yuan, Huiya Wang, Ziwei Liu, Jin Pan, Jiaqing Zhao, Rui Guan, Dawei |
author_facet | Wang, Linlin Zhang, Fuyuan Zeng, Kuo Dong, Wenwen Yuan, Huiya Wang, Ziwei Liu, Jin Pan, Jiaqing Zhao, Rui Guan, Dawei |
author_sort | Wang, Linlin |
collection | PubMed |
description | INTRODUCTION: Bodies recovered from water, especially in the late phase of decomposition, pose difficulties to the investigating authorities. Various methods have been proposed for postmortem submersion interval (PMSI) estimation and drowning identification, but some limitations remain. Many recent studies have proved the value of microbiota succession in viscera for postmortem interval estimation. Nevertheless, the visceral microbiota succession and its application for PMSI estimation and drowning identification require further investigation. METHODS: In the current study, mouse drowning and CO(2) asphyxia models were developed, and cadavers were immersed in freshwater for 0 to 14 days. Microbial communities in the liver and brain were characterized via 16S rDNA high-throughput sequencing. RESULTS: Only livers and brains collected from 5 to 14 days postmortem were qualified for sequencing. There was significant variation between microbiota from liver and brain. Differences in microbiota between the cadavers of mice that had drowned and those only subjected to postmortem submersion decreased over the PMSI. Significant successions in microbial communities were observed among the different subgroups within the late phase of the PMSI in livers and brains. Eighteen taxa in the liver which were mainly related to Clostridium_sensu_stricto and Aeromonas, and 26 taxa in the brain which were mainly belonged to Clostridium_sensu_stricto, Acetobacteroides, and Limnochorda, were selected as potential biomarkers for PMSI estimation based on a random forest algorithm. The PMSI estimation models established yielded accurate prediction results with mean absolute errors ± the standard error of 1.282 ± 0.189 d for the liver and 0.989 ± 0.237 d for the brain. CONCLUSIONS: The present study provides novel information on visceral postmortem microbiota succession in corpses submerged in freshwater which sheds new light on PMSI estimation based on the liver and brain in forensic practice. |
format | Online Article Text |
id | pubmed-9705336 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97053362022-11-30 Microbial communities in the liver and brain are informative for postmortem submersion interval estimation in the late phase of decomposition: A study in mouse cadavers recovered from freshwater Wang, Linlin Zhang, Fuyuan Zeng, Kuo Dong, Wenwen Yuan, Huiya Wang, Ziwei Liu, Jin Pan, Jiaqing Zhao, Rui Guan, Dawei Front Microbiol Microbiology INTRODUCTION: Bodies recovered from water, especially in the late phase of decomposition, pose difficulties to the investigating authorities. Various methods have been proposed for postmortem submersion interval (PMSI) estimation and drowning identification, but some limitations remain. Many recent studies have proved the value of microbiota succession in viscera for postmortem interval estimation. Nevertheless, the visceral microbiota succession and its application for PMSI estimation and drowning identification require further investigation. METHODS: In the current study, mouse drowning and CO(2) asphyxia models were developed, and cadavers were immersed in freshwater for 0 to 14 days. Microbial communities in the liver and brain were characterized via 16S rDNA high-throughput sequencing. RESULTS: Only livers and brains collected from 5 to 14 days postmortem were qualified for sequencing. There was significant variation between microbiota from liver and brain. Differences in microbiota between the cadavers of mice that had drowned and those only subjected to postmortem submersion decreased over the PMSI. Significant successions in microbial communities were observed among the different subgroups within the late phase of the PMSI in livers and brains. Eighteen taxa in the liver which were mainly related to Clostridium_sensu_stricto and Aeromonas, and 26 taxa in the brain which were mainly belonged to Clostridium_sensu_stricto, Acetobacteroides, and Limnochorda, were selected as potential biomarkers for PMSI estimation based on a random forest algorithm. The PMSI estimation models established yielded accurate prediction results with mean absolute errors ± the standard error of 1.282 ± 0.189 d for the liver and 0.989 ± 0.237 d for the brain. CONCLUSIONS: The present study provides novel information on visceral postmortem microbiota succession in corpses submerged in freshwater which sheds new light on PMSI estimation based on the liver and brain in forensic practice. Frontiers Media S.A. 2022-11-15 /pmc/articles/PMC9705336/ /pubmed/36458191 http://dx.doi.org/10.3389/fmicb.2022.1052808 Text en Copyright © 2022 Wang, Zhang, Zeng, Dong, Yuan, Wang, Liu, Pan, Zhao and Guan. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Microbiology Wang, Linlin Zhang, Fuyuan Zeng, Kuo Dong, Wenwen Yuan, Huiya Wang, Ziwei Liu, Jin Pan, Jiaqing Zhao, Rui Guan, Dawei Microbial communities in the liver and brain are informative for postmortem submersion interval estimation in the late phase of decomposition: A study in mouse cadavers recovered from freshwater |
title | Microbial communities in the liver and brain are informative for postmortem submersion interval estimation in the late phase of decomposition: A study in mouse cadavers recovered from freshwater |
title_full | Microbial communities in the liver and brain are informative for postmortem submersion interval estimation in the late phase of decomposition: A study in mouse cadavers recovered from freshwater |
title_fullStr | Microbial communities in the liver and brain are informative for postmortem submersion interval estimation in the late phase of decomposition: A study in mouse cadavers recovered from freshwater |
title_full_unstemmed | Microbial communities in the liver and brain are informative for postmortem submersion interval estimation in the late phase of decomposition: A study in mouse cadavers recovered from freshwater |
title_short | Microbial communities in the liver and brain are informative for postmortem submersion interval estimation in the late phase of decomposition: A study in mouse cadavers recovered from freshwater |
title_sort | microbial communities in the liver and brain are informative for postmortem submersion interval estimation in the late phase of decomposition: a study in mouse cadavers recovered from freshwater |
topic | Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9705336/ https://www.ncbi.nlm.nih.gov/pubmed/36458191 http://dx.doi.org/10.3389/fmicb.2022.1052808 |
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