دانلود مقاله انگلیسی رایگان:تشخیص امضاهای میکروبیوت شخصی در صحنه های جرم ساختگی - 2020
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  • Detecting personal microbiota signatures at artificial crime scenes Detecting personal microbiota signatures at artificial crime scenes
    Detecting personal microbiota signatures at artificial crime scenes

    سال انتشار:

    2020


    عنوان انگلیسی مقاله:

    Detecting personal microbiota signatures at artificial crime scenes


    ترجمه فارسی عنوان مقاله:

    تشخیص امضاهای میکروبیوت شخصی در صحنه های جرم ساختگی


    منبع:

    Sciencedirect - Elsevier - Forensic Science International, 313 (2020) 110351. doi:10.1016/j.forsciint.2020.110351


    نویسنده:

    Jarrad T. Hampton-Marcella,b,c,*, Peter Larsena, Tifani Antona, Lauren Crallec, Naseer Sangwand, Simon Laxe, Neil Gottelf, Mariana Salas-Garciaf, Candace Youngh, George Duncang, Jose V. Lopezg, Jack A. Gilberta,


    چکیده انگلیسی:

    When mapped to the environments we interact with on a daily basis, the 36 million microbial cells per hour that humans emit leave a trail of evidence that can be leveraged for forensic analysis. We employed 16S rRNA amplicon sequencing to map unique microbial sequence variants between human skin and building surfaces in three experimental conditions: over time during controlled and uncontrolled incidental interactions with a door handle, and during multiple mock burglaries in ten real residences. We demonstrate that humans (n = 30) leave behind microbial signatures that can be used to track interaction with various surfaces within a building, but the likelihood of accurately detecting the specific burglar for a given home was between 20–25%. Also, the human microbiome contains rare microbial taxa that can be combined to create a unique microbial profile, which when compared to 600 other individuals can improve our ability to link an individual ‘burglar’ to a residence. In total, 5512 discriminating, nonsingleton unique exact sequence variants (uESVs) were identified as unique to an individual, with a minimum of 1 and a maximum of 568, suggesting some people maintain a greater degree of unique taxa compared to our population of 600. Approximate 60–77% of the unique exact sequence variants originated from the hands of participants, and these microbial discriminators spanned 36 phyla but were dominated by the Proteobacteria (34%). A fitted regression generated to determine whether an intruder’s uESVs found on door handles in an office decayed over time in the presence or absence of office workers, found no significant shift in proportion of uESVs over time irrespective of the presence of office workers. While it was possible to detect the correct burglars’ microbiota as having contributed to the invaded space, the predictions were very weak in comparison to accepted forensic standards. This suggests that at this time 16S rRNA amplicon sequencing of the built environment microbiota cannot be used as a reliable trace evidence standard for criminal investigations.
    Keywords: Forensic microbiology | Built-environment | Host-microbe | Trace evidence | Human microbiome


    سطح: متوسط
    تعداد صفحات فایل pdf انگلیسی: 9
    حجم فایل: 1051 کیلوبایت

    قیمت: رایگان


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