Estimating the Postmortem Interval of Carcasses in the Water Using the Carrion Insect, Brain Tissue RNA, Bacterial Biofilm, and Algae.
Estimating the Postmortem Interval of Carcasses in the Water Using the Carrion Insect, Brain Tissue RNA, Bacterial Biofilm, and Algae.
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使用腐肉昆虫、脑组织 RNA、细菌生物膜和藻类估计水中尸体的死后间隔。
DOI：
10.3389/fmicb.2021.774276
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发表时间：
2021
影响因子：
5.2
通讯作者：
Wang J
中科院分区：
文献类型：
--
作者：
Wang Y;Wang M;Xu W;Wang Y;Zhang Y;Wang J
The accurate estimation of postmortem interval (PMI) is crucial in the investigation of homicide cases. Unlike carcasses on land, various biological and abiotic factors affect the decomposition of carcasses in water. In addition, the insect evidence (e.g., blow flies) that is commonly used to estimate the PMI are unavailable before the carcasses float on water. Therefore, it is difficult to estimate the PMI of a carcass in water. This study aimed to explore an effective way of estimating the PMI of a carcass in water. Carrion insects, brain tissue RNA, bacterial biofilm on the skin surface, and algae in water with PMI were studied using 45 rat carcasses in a small river. The results showed that carrion insects might not be suitable for the estimation of PMI of a carcass in water since they do not have a regular succession pattern as a carcass on land, and the flies only colonized six of the carcasses. The target genes (β-actin, GAPDH, and 18S) in the brain tissue were associated with the PMI in a time-dependent manner within 1 week after death. A polynomial regression analysis was used to assess the relationship between the gene expression profiles and PMI. The correlation coefficient R2 of each regression equation was ≥ 0.924. A third-generation sequencing analysis showed that the bacteria on the skin surface of the carcass and the algae in the water samples around the carcass had a regular succession pattern, where Cryptomonas and Placoneis incased and decreased, respectively, within first 9 days. The results of this study provide a promising way to use the brain tissue RNA, bacterial biofilm, and algae to estimate the PMI of a carcass in water.
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影响因子：
64.8
作者：
Battin, TJ;Kaplan, LA;Hansen, CME
通讯作者：
Hansen, CME
使用已建立的大鼠数学模型和多 RNA 标记来估计人类死后间隔
影响因子：
1.8
作者：
Lv, Ye-Hui;Ma, Jian-Long;Chen, Long
通讯作者：
Chen, Long
影响因子：
4.5
作者：
PARMENTER, RR;LAMARRA, VA
通讯作者：
LAMARRA, VA
影响因子：
2.1
作者：
Matuszewski S;Konwerski S;Frątczak K;Szafałowicz M
通讯作者：
Szafałowicz M
影响因子：
1
作者：
Eighamry, Hoda Abdelmagid;Mohamed, Marwa Issak;Abdelaal, Aly Gamaleldin
通讯作者：
Abdelaal, Aly Gamaleldin