The Next Generation Sequencing data for a mixture of 15 commonly used animal meat Raw sequence reads

Biosurvelllance is essential to ensure the safety of food and pharmaceutical drugs consisting of complex mixtures or processed biological material. DNA-bases method is an effective method to determine the taxnomic composition of a mixture. An accurate method for identifying the species source of meat can detect adulterated meat that harms the economy, social harmony and human health. However, the commonly used PCR-based approach can only detect single-taxon-composition. Metabarcoding approach combine the PCR amplifiatoin of particular DNA regions followed with deep DNA sequencing, can be used to detect multiple-taxon-compostion simutalneously. Metagenomics for will need universal primers to amplify the regions of interest before next generation DNA sequencing. Mitochondrial metagenome has been reported before for the ecological survey of environmental studies. We aimed to develop a method that is able to identify biological ingredients from multiple unknown species. We used the Next Generation DNA Sequencing (NGS) technology to directly amplify the DNA extracted from a biological mixture. A computational pipeline (called bio-ingredient identification based on mitochondrial reference genome sequences, or BIID-mito) was developed to qualitatively and quantitatively identify the biological ingredients from the mixture. The BIID-mito software package includes a database and two programs. The database consists of the mitogenomes. The first program generates simulated fastq sequences. The second one maps the NGS reads to the reference sequences and count the numbers of reads, which is used to qualitatively and quantitatively determine the biological ingredients in the mixture. We use a mixture constructed with samples from 15 animal species as a testing sample. BIID can successfully identify all the 15 added species.