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This document specifies a DNA metabarcoding method for the identification of mammals and birds at the genus or species level and allows the identification of a large number of commercially significant as well as exotic animals. A DNA segment from the mitochondrial 16S ribosomal RNA gene is amplified using PCR and then sequenced using next generation sequencing (NGS). The results are analysed bioinformatically. This document specifies a DNA metabarcoding method for the identification of mammals and birds at the genus or species level and allows the identification of a large number of commercially significant as well as exotic animals. A DNA segment from the mitochondrial 16S ribosomal RNA gene is amplified using PCR and then sequenced using next generation sequencing (NGS). The results are analysed bioinformatically.
The method is applicable to all matrices (e.g. mixed products, processed foodstuff), from which amplifiable DNA can be extracted.
It has been successfully validated in a collaborative study using a short read sequencing platform (emitted fluorescence detection) with DNA extract mixtures and DNA of sausages of known composition.
The method is also described using ion semiconductor sequencing but was not collaboratively validated.
Reģistrācijas numurs (WIID)
92018
Darbības sfēra
This document specifies a DNA metabarcoding method for the identification of mammals and birds at the genus or species level and allows the identification of a large number of commercially significant as well as exotic animals. A DNA segment from the mitochondrial 16S ribosomal RNA gene is amplified using PCR and then sequenced using next generation sequencing (NGS). The results are analysed bioinformatically. This document specifies a DNA metabarcoding method for the identification of mammals and birds at the genus or species level and allows the identification of a large number of commercially significant as well as exotic animals. A DNA segment from the mitochondrial 16S ribosomal RNA gene is amplified using PCR and then sequenced using next generation sequencing (NGS). The results are analysed bioinformatically.
The method is applicable to all matrices (e.g. mixed products, processed foodstuff), from which amplifiable DNA can be extracted.
It has been successfully validated in a collaborative study using a short read sequencing platform (emitted fluorescence detection) with DNA extract mixtures and DNA of sausages of known composition.
The method is also described using ion semiconductor sequencing but was not collaboratively validated.
