A semi-automated protocol for NGS metabarcoding and fungal analysis in forensic
| Autor: | A. Anselmo, Andreu Paytuvi, Giovanni Vanni Frajese, Andrea Berti, Filippo Barni, Walter Sanseverino, S. Giampaoli, E. De Vittori |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Protocol (science)
Principal Component Analysis Biological studies Computer science 010401 analytical chemistry Forensic Sciences Fungi High-Throughput Nucleotide Sequencing Computational biology Sequence Analysis DNA 01 natural sciences Dna identification DNA sequencing 0104 chemical sciences Pathology and Forensic Medicine 03 medical and health sciences 0302 clinical medicine Environmental Microbiology DNA Barcoding Taxonomic Identification (biology) 030216 legal & forensic medicine DNA Fungal Law Software |
| Zdroj: | Forensic science international. 306 |
| ISSN: | 1872-6283 |
| Popis: | Metabarcoding through Next Generation Sequencing (NGS) has revolutionized environmental biological studies. The availability of this technical approach has opened the opportunity for a systematic implementation of fungal metabarcoding analysis in forensics, where standardized, sensitive and reproducible protocols are highly desirable. In the present paper, a pipeline including a semi-automated molecular protocol and user-friendly bioinformatics tools are applied to several kinds of environmental samples and forensic caseworks. The identification of fungi that characterize specific environments (like Aspergillus for indoor walls, or Penicillium, Debaryomices and Wickerhamomyces for food storage) can be informative for the provenance of samples. In some situations, fungal analysis cannot allow the identification of a defined environment but seems useful to cluster samples with similar provenance. Based on these considerations, fungal analysis can be included in a wider process of non-human DNA identification in order to provide clues on sample provenance. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect