Adserias-Garriga Joe, Hernández Marta, Quijada Narciso M, Rodríguez Lázaro David, Steadman Dawnie, Garcia-Gil Jesús
Fundació Universitat de Girona, Universitat de Girona, Spain.
Instituto Tecnológico Agrario de Castilla y León, Universidad de Valladolid, Spain; Departamento de Ingeniería Agrícola y Forestal, Tecnología de los Alimentos, E.T.S. Ingenierías Agrarias, Universidad de Valladolid, Spain.
Forensic Sci Int. 2017 Sep;278:388-395. doi: 10.1016/j.forsciint.2017.07.017. Epub 2017 Aug 7.
Understanding human decomposition is critical for its use in postmortem interval (PMI) estimation, having a significant impact on forensic investigations. In recognition of the need to establish the scientific basis for PMI estimation, several studies on decomposition have been carried out in the last years. The aims of the present study were: (i) to identify soil microbiota communities involved in human decomposition through high-throughput sequencing (HTS) of DNA sequences from the different bacteria, (ii) to monitor quantitatively and qualitatively the decay of such signature species, and (iii) to describe succesional changes in bacterial populations from the early putrefaction state until skeletonization. Three donated individuals to the University of Tennessee FAC were studied. Soil samples around the body were taken from the placement of the donor until advanced decay/dry remains stage. Bacterial DNA extracts were obtained from the samples, HTS techniques were applied and bioinformatic data analysis was performed. The three cadavers showed similar overall successional changes. At the beginning of the decomposition process the soil microbiome consisted of diverse indigenous soil bacterial communities. As decomposition advanced, Firmicutes community abundance increased in the soil during the bloat stage. The growth curve of Firmicutes from human remains can be used to estimate time since death during Tennessee summer conditions.
了解人体分解过程对于将其用于死后间隔时间(PMI)估计至关重要,这对法医调查有重大影响。认识到有必要为PMI估计建立科学依据,近年来已经开展了多项关于分解的研究。本研究的目的是:(i)通过对来自不同细菌的DNA序列进行高通量测序(HTS)来识别参与人体分解的土壤微生物群落,(ii)对这类标志性物种的衰减进行定量和定性监测,以及(iii)描述从早期腐败状态到骨骼化阶段细菌种群的演替变化。对田纳西大学法医人类学中心(FAC)的三名捐赠个体进行了研究。从尸体放置处直至高度腐败/干尸阶段采集尸体周围的土壤样本。从样本中提取细菌DNA,应用HTS技术并进行生物信息数据分析。这三具尸体显示出相似的总体演替变化。在分解过程开始时,土壤微生物群由各种本土土壤细菌群落组成。随着分解的推进,在膨胀阶段土壤中厚壁菌门群落丰度增加。来自人类遗骸的厚壁菌门生长曲线可用于估计田纳西州夏季条件下的死亡时间。