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A fast and reliable polymerase chain reaction method based on short interspersed nuclear elements detection for the discrimination of buffalo, cattle, goat, and sheep species in dairy products

  • Cosenza, Gianfranco (Department of Agricultural Sciences, University of Naples "Federico II") ;
  • Iannaccone, Marco (Department of Agricultural Sciences, University of Naples "Federico II") ;
  • Gallo, Daniela (Department of Agricultural Sciences, University of Naples "Federico II") ;
  • Pauciullo, Alfredo (Department of Agricultural, Forest and Food Science, University of Torino)
  • Received : 2018.06.18
  • Accepted : 2018.11.29
  • Published : 2019.06.01

Abstract

Objective: Aim of present study was the set up of a fast and reliable protocol using species-specific markers for the quali-quantitative analysis of DNA and the detection of ruminant biological components in dairy products. For this purpose, the promoter of the gene coding for the ${\alpha}$-lactoalbumin (LALBA) was chosen as possible candidate for the presence of short interspersed nuclear elements (SINEs). Methods: DNA was isolated from somatic cells of 120 individual milk samples of cattle (30), Mediterranean river buffalo (30), goat (30), and sheep (30) and the gene promoter region (about 600/700 bp) of LALBA (from about 600 bp upstream of exon 1) has been sequenced. For the development of a single polymerase chain reaction (PCR) protocol that allows the simultaneous identification of DNA from the four species of ruminants, the following internal primers pair were used: 5'-CACTGATCTTAAAGCTCAGGTT-3' (forward) and 5'-TCAGA GTAGGCCACAGAAG-3' (reverse). Results: Sequencing results of LALBA gene promoter region confirmed the presence of SINEs as monomorphic "within" and variable in size "among" the selected species. Amplicon lengths were 582 bp in cattle, 592 bp in buffalo, 655 in goat and 729 bp in sheep. PCR specificity was demonstrated by the detection of trace amounts of species-specific DNA from mixed sources ($0.25ng/{\mu}L$). Conclusion: We developed a rapid PCR protocol for the quali-quantitative analysis of DNA and the traceability of dairy products using a species-specific marker with only one pair of primers. Our results validate the proposed technique as a suitable tool for a simple and inexpensive (economic) detection of animal origin components in foodstuffs.

Keywords

References

  1. Caporale V, Giovannini A, Di Francesco C, Calistri P. Importance of the traceability of animals and animal products in epidemiology. Rev Sci Tech Off Int Epiz 2001;20:372-8. https://doi.org/10.20506/rst.20.2.1279
  2. Pauciullo A, Cosenza G, Steri R et al. An association analysis between OXT genotype and milk yield and flow in Italian Mediterranean river buffalo. J Dairy Res 2012;79:150-6. https://doi.org/10.1017/S0022029911000914
  3. Mayer HK, Burger J, Kaar N. 2012 Quantification of cow's milk percentage in dairy products - a myth? Anal Bioanal Chem 2012;403:3031-40. https://doi.org/10.1007/s00216-012-5805-1
  4. Lopez-Calleja IM, Gonzalez I, Fajardo V, Hernandez PE, Garcia T, Martin R. Application of an indirect ELISA and a PCR technique for detection of cows' milk in sheep's and goats' milk cheeses. Int Dairy J 2007;17:87-93. https://doi.org/10.1016/j.idairyj.2006.01.006
  5. Ferreira IM, Cacote H. Detection and quantification of bovine, ovine and caprine milk percentages in protected denomination of origin cheeses by reversed-phase high-performance liquid chromatography of beta-lactoglobulins. J Chromatogr A 2003;1015:111-8. https://doi.org/10.1016/S0021-9673(03)01261-5
  6. Cozzolino R, Passalacqua S, Salemi S, Garozzo D. Identification of adulteration in water buffalo mozzarella and in ewe cheese by using whey proteins as biomarkers and matrix-assisted laser desorption/ionization mass spectrometry. J Mass Spectrom 2002;37:985-91. https://doi.org/10.1002/jms.358
  7. Samah FD, Hanaa AA, Amin AS. Evaluation of PCR assay for detection of cow's milk in water buffalo's milk. World Appl Sci J 2009;7: 461-7.
  8. Zarei M, Maktabi S, Nasiri M. Fraud identification of cow's milk in buffalo's milk and it's products using the polymerase chain reaction. Jundishapur J Health Sci 2016;8:e60326.
  9. Abdel-Rahman S, Ahmed M. Rapid and sensitive identification of buffalo's, cattle's and sheep's milk using species-specific PCR and PCR-RFLP techniques. Food Control 2007;18:1246-9. https://doi.org/10.1016/j.foodcont.2006.08.003
  10. Dalmasso A, Civera T, La Neve F, Bottero MT. Simultaneous detection of cow and buffalo milk in mozzarella cheese by real-time PCR cheese. Food Chem 2011;124:362-6. https://doi.org/10.1016/j.foodchem.2010.06.017
  11. Agrimonti C, Pirondini A, Marmiroli M, Marmiroli N. A quadruplex PCR (qxPCR) assay for adulteration in dairy products. Food Chem 2015;187:58-64. https://doi.org/10.1016/j.foodchem.2015.04.017
  12. Nijman IJ, van Tessel P, Lenstra JA. SINE retrotransposition during the evolution of the Pecoran ruminants. J Mol Evol 2002;54:9-16. https://doi.org/10.1007/s00239-001-0012-2
  13. Borodulina OR, Kramerov DA. PCR-based approach to SINE isolation: simple and complex SINEs. Gene 2005;349:197-205. https://doi.org/10.1016/j.gene.2004.12.035
  14. Pokorska J, Kulaj D, Dusza M, Zychlinska-Buczek J, Makulska J. New rapid method of DNA isolation from milk somatic cells. Anim Biotechnol 2016;27:113-7. https://doi.org/10.1080/10495398.2015.1116446
  15. Matsunaga T, Chikuni K, Tanabe R et al. A quick and simple method for the identification of meat species and meat products by PCR assay. Meat Sci 1999;51:143-8. https://doi.org/10.1016/S0309-1740(98)00112-0
  16. Tajima K, Enishi O, Amari M et al. PCR detection of DNAs of animal origin in feed by primers based on sequences of short and long interspersed repetitive elements. Biosci Biotechnol Biochem 2002;66:2247-50. https://doi.org/10.1271/bbb.66.2247

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