Molecular identification of vaginal fluid by microbial signature

详细信息    查看全文

• 作者：Saverio Giampaoli ; Andrea Berti ; Federica Valeriani ; Gianluca Gianfranceschi ; Antonio Piccolella ; Laura Buggiotti ; Cesare Rapone ; Alessio Valentini ; Luigi Ripani ; Vincenzo Romano Spica
• 关键词：Bacteria ; Forensic ; Vaginal fluid ; mfDNA ; Multiplex PCR
• 刊名：Forensic Science International: Genetics
• 出版年：2012
• 出版时间：September, 2012
• 年：2012
• 卷：6
• 期：5
• 页码：559-564
• 全文大小：683 K

文摘

The discrimination of body fluids in forensic examinations can play an important role in crime scene reconstruction. Conventional methods rely on the detection of antigens or enzymatic activity, limiting detection sensitivity and specificity, particularly on old forensic samples. Methods based on human RNA analysis are not easily applicable to samples exposed to harsh and degrading environments. An alternative approach based on the identification of prokaryotic genomes was developed. Specific bacterial communities are characteristic typical of different human non-sterile body fluids: the molecular characterization of a microbial signature, and not the typing of single bacterial species, can effectively lead to univocal identification of these fluids.

A multiplex real time PCR assay was developed using oligonucleotide mixtures targeting genomes specific for a selected group of bacteria. Microflora DNA (mfDNA) was extracted from vaginal, oral and fecal clinical swabs. In addition forensic samples were processed. Vaginal samples showed a strong specific signal for bacteria of the female genital tract. Oral samples clearly showed signal for bacteria present in saliva, and in fecal samples the main signal was from Enterococcaceae. Vaginal casework samples showed results comparable to freshly collected ones; moreover the DNA extracted was successfully used for STR typing. Also mixtures of body fluids were analyzed, providing a microbiological signature compatible with the presence of microbes of oral, fecal and vaginal origin. The presented method can be useful in identifying biological fluids, and it is based on DNA technologies already available in forensic laboratories and feasible for further high throughput automation.