| Literature DB >> 31004622 |
Hee Sang You1, Song Hee Lee1, Yeon Jeong Ok2, Hee-Gyu Kang1, Ho Jung Sung1, Ji Yeong Lee3, Sang Sun Kang4, Sung Hee Hyun5.
Abstract
Determination of the metagenome has become an important component of forensic identification, which requires efficient environmental sampling techniques. Therefore, in this study, we compared the efficiency of sample collection using swabbing with cotton swabs and three types of medical swabs (S7, S22, S24) along with three different solutions: phosphate-buffered saline (PBS), 1% Tween 20 + 1% glycerol in PBS (TG), and GS commercial solution (Noble Bio, Hwaseong, Republic of Korea). Combinations of the three solutions with the three types of swabs were tested at different volumes (cotton swab, S7: 0, 30, 50, 70 μL; S22, S24: 0, 70, 100, 130 μL). Escherichia coli and Staphylococcus aureus were selected as representative environmental microbial samples, and the number of colony-forming units (CFUs), DNA concentration, and DNA copy numbers were compared across groups. The sampling process had a clear effect on the efficiency of extraction, which allowed for determination of a more efficient sample sampling method. In particular, cotton swabs showed 2-10-fold greater CFUs of both species than the medical swabs, and resulted in significantly greater amounts of extracted DNA. TG was found to be the most efficient solution for bacterial DNA extraction, with higher CFUs and DNA obtained than with the other three solutions at all volumes tested. This study highlights the need for a standardized sampling method that can be applied to all environmental samples, especially for microbial quantification, and provides valuable reference data for the efficient collection of environmental samples for metagenomic analyses in microbial-based forensic assessments.Entities:
Keywords: CFUs; Collection efficiency; DNA concentration; DNA copy; Metagenomics; Microbial forensics; Swab
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Year: 2019 PMID: 31004622 DOI: 10.1016/j.mimet.2019.04.011
Source DB: PubMed Journal: J Microbiol Methods ISSN: 0167-7012 Impact factor: 2.363