A next generation semiconductor based sequencing approach for the identification of meat species in DNA mixtures.
The identification of the species of origin of meat and meat products is an important issue to prevent and detect frauds that might have economic, ethical and health implications. In this paper we evaluated the potential of the next generation semiconductor based sequencing technology (Ion Torrent Personal Genome Machine) for the identification of DNA from meat species (pig, horse, cattle, sheep, rabbit, chicken, turkey, pheasant, duck, goose and pigeon) as well as from human and rat in DNA mixtures through the sequencing of PCR products obtained from different couples of universal primers that amplify 12S and 16S rRNA mitochondrial DNA genes. Six libraries were produced including PCR products obtained separately from 13 species or from DNA mixtures containing DNA from all species or only avian or only mammalian species at equimolar concentration or at 1:10 or 1:50 ratios for pig and horse DNA. Sequencing obtained a total of 33,294,511 called nucleotides of which 29,109,688 with Q20 (87.43%) in a total of 215,944 reads. Different alignment algorithms were used to assign the species based on sequence data. Error rate calculated after confirmation of the obtained sequences by Sanger sequencing ranged from 0.0003 to 0.02 for the different species. Correlation about the number of reads per species between different libraries was high for mammalian species (0.97) and lower for avian species (0.70). PCR competition limited the efficiency of amplification and sequencing for avian species for some primer pairs. Detection of low level of pig and horse DNA was possible with reads obtained from different primer pairs. The sequencing of the products obtained from different universal PCR primers could be a useful strategy to overcome potential problems of amplification. Based on these results, the Ion Torrent technology can be applied for the identification of meat species in DNA mixtures.
Department of Agricultural and Food Sciences, Division of Animal Sciences, University of Bologna, Viale Fanin 46, 40127, Bologna, Italy.
Francesca
F
Bertolini
Department of Agricultural and Food Sciences, Division of Animal Sciences, University of Bologna, Viale Fanin 46, 40127, Bologna, Italy; Department of Veterinary Sciences, Animal Production Unit, University of Messina, Polo Universitario dell'Annunziata, 98168, Messina, Italy.
Marco Ciro
MC
Ghionda
Department of Veterinary Sciences, Animal Production Unit, University of Messina, Polo Universitario dell'Annunziata, 98168, Messina, Italy.
Enrico
E
D'Alessandro
Department of Agricultural and Food Sciences, Division of Animal Sciences, University of Bologna, Viale Fanin 46, 40127, Bologna, Italy.
Claudia
C
Geraci
Department of Veterinary Sciences, Animal Production Unit, University of Messina, Polo Universitario dell'Annunziata, 98168, Messina, Italy; Meat Research Consortium, Polo Universitario dell'Annunziata, 98168, Messina, Italy.
Vincenzo
V
Chiofalo
Department of Agricultural and Food Sciences, Division of Animal Sciences, University of Bologna, Viale Fanin 46, 40127, Bologna, Italy.
Luca
L
Fontanesi
D000818:Animals; D002417:Cattle / Q000235:genetics; D002645:Chickens / Q000235:genetics; D004247:DNA / Q000235:genetics*; D004372:Ducks / Q000235:genetics; D005777:Geese / Q000235:genetics; D006736:Horses / Q000235:genetics; D006801:Humans; D008460:Meat / Q000032:analysis*; D008461:Meat Products / Q000032:analysis*; D011784:Quail / Q000235:genetics; D011817:Rabbits / Q000235:genetics; D051381:Rats; D012666:Semiconductors; D017422:Sequence Analysis, DNA / Q000379:methods*; D012756:Sheep / Q000235:genetics; D013552:Swine / Q000235:genetics; D014422:Turkeys / Q000235:genetics
D004247:DNA