Detection of Metabolism Function of Microbial Community of Corpses by Biolog-Eco Method
10.3969/j.issn.1004-5619.2016.03.003
- VernacularTitle:Biolog-Eco法检测尸体微生物群落的代谢功能变化
- Author:
Xinyu JIANG
;
Jiangfeng WANG
;
Guanghui ZHU
;
Mengyun MA
;
Yue LAI
;
Hui ZHOU
- Publication Type:Journal Article
- Keywords:
forensic pathology;
microbiology;
metabolism;
Biolog-EcoPlate
- From:
Journal of Forensic Medicine
2016;32(3):171-175,179
- CountryChina
- Language:Chinese
-
Abstract:
Objective To detect the changes of microbial community functional diversity of corpses with different postmortem interval(PMI)and to evaluate forensic application value for estimating PMI. Methods The cultivation of microbial community from the anal swabs of aSusscrofaand a human corpse placed in field environment from 0 to 240 h after death was performed using the Biolog-Eco Mi-croplate and the variations of the absorbance values were also monitored. Combined with the technology of forensic pathology and flies succession, the metabolic characteristics and changes of microbial commu-nity on the decomposed corpse under natural environment were also observed.Results The diversity of microbial metabolism function was found to be negatively correlated with the number of maggots in the corpses. The freezing processing had the greatest impact on average well color development value at 0 h and the impact almost disappeared after 48 h. The diversity of microbial metabolism of the samples be-came relatively unstable after 192 h. The principal component analysis showed that 31 carbon sources could be consolidated for 5 principal components(accumulative contribution ratio >90%). The carbon source tsquare-analysis showed thatN-acetyl-D-glucosamine andL-serine were the dominant carbon sources for estimating the PMI(0=240 h)of theSusscrofaand human corpse.Conclusion The Biolog-Eco method can be used to reveal the metabolic differences of the carbon resources utilization of the microbial community on the corpses during 0-240 h after death, which could provide a new basis for estimating the PMI.
