Application of next generation semiconductor based sequencing for species identification and analysis of within-species mitotypes useful for authentication of meat derived products

In this study, we tested the Ion Torrent next generation semiconductor based sequencing technology for meat species identification in several highly processed and complex meat products and meat derived broths (a doner kebab, a beef/pork pate, a meat based filling of tortellini, one instantaneous granular preparation of broth stock made by meat and two ready to use meat broths from different producers). The detection protocol included the sequencing of targeted mitochondrial DNA (mtDNA) regions amplified with universal primer pairs and a bioinformatic pipeline designed to interpret sequencing results. Six libraries were sequenced producing a total of 1,363,351 filtered reads. Data mining detected expected and unexpected meat species in the analysed products. Pork was identified in the kebab and Bubalus bubalis DNA was identified in the beef/pork pate. For products for which the precise meat species ingredient information was not available, it was possible to obtain it. Human contamination based on human detected reads could be useful to evaluate the hygienic level of highly processed products. Mitochondrial haplotypes (mitotypes) were identified for several mtDNA-species combinations providing another level of information useful for the authentication of meat derived products. This work defined a methodological framework to establish assays using this sequencing platform for routine species identification in complex and highly processed food. (C) 2018 Elsevier Ltd. All rights reserved.