Literature DB >> 30036744

Human-associated microbial populations as evidence in forensic casework.

Frederike C A Quaak1, Tineke van Duijn2, Jerry Hoogenboom2, Ate D Kloosterman3, Irene Kuiper2.   

Abstract

In forensic investigations involving human biological traces, cell type identification is often required. Identifying the cell type from which a human STR profile has originated can assist in verifying scenarios. Several techniques have been developed for this purpose, most of which focus on molecular characteristics of human cells. Here we present a microarray method focusing on the microbial populations that are associated with human cell material. A microarray with 863 probes targeting (sets of) species, specific genera, groups of genera or families was designed for this study and evaluated with samples from different body sites: hand, foot, groin, penis, vagina, mouth and faeces. In total 175 samples from healthy individuals were analysed. Next to human faeces, 15 feline and 15 canine faeces samples were also included. Both clustering and classification analysis were used for data analysis. Faecal and oral samples could clearly be distinguished from vaginal and skin samples, and also canine and feline faeces could be differentiated from human faeces. Some penis samples showed high similarity to vaginal samples, others to skin samples. Discriminating between skin samples from different skin sites proved to be challenging. As a proof of principle, twenty-one mock case samples were analysed with the microarray method. All mock case samples were clustered or classified within the correct main cluster/group. Only two of the mock case samples were assigned to the wrong sub-cluster/class; with classification one additional sample was classified within the wrong sub-class. Overall, the microarray method is a valuable addition to already existing cell typing techniques. Combining the results of microbial population analysis with for instance mRNA typing can increase the evidential value of a trace, since both techniques focus on independent targets within a sample.
Copyright © 2018 Elsevier B.V. All rights reserved.

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Year:  2018        PMID: 30036744     DOI: 10.1016/j.fsigen.2018.06.020

Source DB:  PubMed          Journal:  Forensic Sci Int Genet        ISSN: 1872-4973            Impact factor:   4.882


  6 in total

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Journal:  Int J Legal Med       Date:  2019-01-04       Impact factor: 2.686

Review 2.  On the Identification of Body Fluids and Tissues: A Crucial Link in the Investigation and Solution of Crime.

Authors:  Titia Sijen; SallyAnn Harbison
Journal:  Genes (Basel)       Date:  2021-10-28       Impact factor: 4.096

3.  Comparative Evaluation of the Salivary and Buccal Mucosal Microbiota by 16S rRNA Sequencing for Forensic Investigations.

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Journal:  Front Microbiol       Date:  2022-03-18       Impact factor: 5.640

4.  Fecal microbial signatures of healthy Han individuals from three bio-geographical zones in Guangdong.

Authors:  Litao Huang; Liting Deng; Changhui Liu; Enping Huang; Xiaolong Han; Cheng Xiao; Xiaomin Liang; Huilin Sun; Chao Liu; Ling Chen
Journal:  Front Microbiol       Date:  2022-08-08       Impact factor: 6.064

Review 5.  Analysis of Microbial Communities: An Emerging Tool in Forensic Sciences.

Authors:  Audrey Gouello; Catherine Dunyach-Remy; Christian Siatka; Jean-Philippe Lavigne
Journal:  Diagnostics (Basel)       Date:  2021-12-21

6.  Assess the diversity of gut microbiota among healthy adults for forensic application.

Authors:  Shuangshuang Wang; Feng Song; Haoyu Gu; Zhilong Shu; Xiaowen Wei; Ke Zhang; Yuxiang Zhou; Lanrui Jiang; Zefei Wang; Jienan Li; Haibo Luo; Weibo Liang
Journal:  Microb Cell Fact       Date:  2022-03-24       Impact factor: 5.328

  6 in total

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