Soil sample metagenome NGS data management for forensic investigation |
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| Institution: | 1. Laboratorio de Genética Molecular de Cruz Vital – Cruz Roja Ecuatoriana Quito, Ecuador;2. Laboratorio GENES Ltda, Medellin, Colombia;1. Armed Forces DNA Identification Laboratory, Armed Forces Medical Examiner System, United States;2. American Registry of Pathology, United States;3. Flinders University, Australia;4. National Institute of Standards and Technology, United States;1. Flinders Centre for Nanoscale Science and Technology, Flinders University, Sturt Road, Bedford Park, Adelaide, South Australia, Australia;2. School of Biological Sciences, Flinders University, Sturt Road, Bedford Park, Adelaide, South Australia, Australia;1. Institute of Legal Medicine, Faculty of Medicine, University of Cologne, Cologne, Germany;2. IPATIMUP – Institute of Molecular Pathology and Immunology of the University of Porto, Porto, Portugal;3. Forensic Genetics Unit, Institute of Legal Medicine, University of Santiago de Compostela, Santiago de Compostela, Spain |
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| Abstract: | Soil analysis is a valuable resource in forensic investigation. Classical forensic soil analysis involves examination of its physical characteristics and chemical composition, such as soil type, colour, particle size, shape, pH, elemental, mineral and organic content. However the limited variability of these parameters is not always allowing adequate discrimination between soil samples. As soil supports extreme diversity of microorganisms and eukaryotic communities, microbiological approaches have been proposed. Several molecular approaches for microbial DNA profiling are available; however there is a lack of published data of implementation of the next generation sequencing (NGS) approaches for forensic soil analysis.The aim of the current study was elaboration of criteria for soil metagenome data management and database searching. We used our previously sequenced collection of 11 samples collected from different environments (forests, fields, grasslands, urban park) with different flora. The single sample collection includes 9 soil samples per one sampling area (30 m × 30 m) spaced by 15 m. In the current study we concentrated mainly on 18S rRNA gene V2-V3 region for fungi however SSU rRNA region for arbuscular mycorrhizal (AMF) fungi and V2-V3 hypervariable region of 16S rRNA gene for bacterial communities were taken into account. The sequencing was performed by Roche/454 platform. For data analysis OTU based approach on mothur software and NCBI BLASTN search were used. NCBI BLASTN analysis revealed altogether 2983 AMF matches and 8997 18S matches as well as 25477 OTUs (16S) were determined. Several data filtration approaches were used for data management. We found that 18S marker results could be used to create and run a filtered database that is computationally much more efficient and flexible. Our results have broad impact; however more samples have to be analysed, additional studies performed and cooperation between soil scientists and forensic scientists is required to be able to implement these novel techniques into the routine forensic practice. |
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| Keywords: | Forensic soil analysis Metagenome 16S rRNA 18S rRNA SSU rRNA Next generation sequencing |
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