Lenz Erin J, Foran David R
Forensic Science Program, School of Criminal Justice, 560 Baker Hall, Michigan State University, East Lansing, MI 48824, USA.
J Forensic Sci. 2010 Nov;55(6):1437-42. doi: 10.1111/j.1556-4029.2010.01464.x.
Forensic identification of soil based on microbial DNA fingerprinting has met with mixed success, with research efforts rarely considering temporal variability or local heterogeneity in soil's microbial makeup. In the research presented, the nitrogen fixing bacteria rhizobia were specifically examined. Soils were collected monthly from five habitats for 1 year, and quarterly in each cardinal direction from the main collection site. When all habitats were compared simultaneously using Terminal Restriction Fragment Length Polymorphism analysis of the rhizobial recA gene and multidimensional scaling, only two were differentiated over a year's time, however pairwise comparisons allowed four of five soils to be effectively differentiated. Adding in 10-foot distant soils as "questioned" samples correctly grouped them in 40-70% of cases, depending on restriction enzyme used. The results indicate that the technique has potential for forensic soil identification, although extensive anthropogenic manipulation of a soil makes such identification much more tentative.
基于微生物DNA指纹识别技术进行土壤法医鉴定的成效不一,以往的研究工作很少考虑土壤微生物组成的时间变异性或局部异质性。在本研究中,对固氮细菌根瘤菌进行了专门检测。在一年时间里,每月从五个栖息地采集土壤样本,并且每季度从主要采集地点的四个基本方向采集样本。当使用根瘤菌recA基因的末端限制性片段长度多态性分析和多维标度法同时比较所有栖息地时,在一年时间内只有两个栖息地能够区分开,但是两两比较能有效区分五种土壤中的四种。将距离主要采集点10英尺远的土壤作为“可疑”样本加入后,根据所使用的限制性内切酶不同,在40%-70%的情况下能将它们正确归类。结果表明,该技术在土壤法医鉴定方面具有潜力,尽管土壤受到广泛的人为干扰会使这种鉴定结果更具不确定性。