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高通量测序细菌群落在死后浸没时间估计中的潜在应用。

Potential use of high-throughput sequencing of bacterial communities for postmortem submersion interval estimation.

机构信息

Department of Forensic Medicine, School of Basic Medical Sciences, Central South University, Changsha, 410013, Hunan, People's Republic of China.

出版信息

Braz J Microbiol. 2019 Oct;50(4):999-1010. doi: 10.1007/s42770-019-00119-w. Epub 2019 Jul 30.

Abstract

Microorganisms play vital roles in the natural decomposition of carcasses in aquatic systems. Using high-throughput sequencing techniques, we evaluated the composition and succession of microbial communities throughout the decomposition of rat carcasses in freshwater. A total of 4,428,781 high-quality 16S rRNA gene sequences and 2144 operational taxonomic units were obtained. Further analysis revealed that the microbial composition differed significantly between the epinecrotic (rat skins) and the epilithic (rocks) samples. During the carcass decomposition process, Proteobacteria became the dominant phylum in the epinecrotic, epilithic, and environmental (water) samples, followed by Firmicutes in the epinecrotic samples and Bacteroidetes in the epilithic and water samples. Microbial communities were influenced by numerous environmental factors, such as dissolved oxygen content and conductivity. Our study provides new insight about postmortem submersion interval (PMSI) estimation in aquatic environments.

摘要

微生物在水生系统中尸体的自然分解中起着至关重要的作用。本研究使用高通量测序技术,评估了淡水环境中大鼠尸体分解过程中微生物群落的组成和演替。共获得了 4428781 条高质量的 16S rRNA 基因序列和 2144 个操作分类单元。进一步的分析表明,坏死层(大鼠皮肤)和附生层(岩石)样本之间的微生物组成有显著差异。在尸体分解过程中,变形菌门在坏死层、附生层和环境(水)样本中成为优势门,厚壁菌门在坏死层样本中占主导地位,拟杆菌门和浮霉菌门在附生层和水样中占主导地位。微生物群落受多种环境因素的影响,如溶解氧含量和电导率。本研究为水生环境中的死后浸没时间(PMSI)估计提供了新的见解。

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本文引用的文献

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Detection of Metabolism Function of Microbial Community of Corpses by Biolog-Eco Method.利用Biolog-Eco方法检测尸体微生物群落的代谢功能
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