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Meat Species Identification: Amplification Refractory Mutation System-Polymerase Chain Reaction–Based Assay.

Authors :
Waqas, Muhammad
Hussain, Zahid
Ihsan, Awais
Source :
Food Analytical Methods; Dec2019, Vol. 12 Issue 12, p2813-2822, 10p
Publication Year :
2019

Abstract

True verification of meat species is critical for religious, economical, legal, and/or public health concerns. Current methods available for verification of meat species are very time-consuming and/or costly. So considering the necessity, a novel polymerase chain reaction assay (PCR)–based ARMS (amplification refractory mutation system) type identification assay for detection of 6 most common mammalian species—Equus asinus (donkey), Equus caballus (horse), Bos Taurus (cow), Bubalus bubalis (buffalo), Capra hircus (goat), and Canis lupus familiaris (dog)—was described in present study by designing species-specific forward primers against variable regions and a single universal reverse primer against a very conserved region of nuclear beta actin (ACTB) gene by investigation of areas of homology and variation. As compared with conventional designing of primers, ARMS type primer designing is a better alternative as it allows more room for choice and offers differentiation of closely related species by exploiting just a single nucleotide base difference. PCR bands of 128, 229, 273, 362, 710, and 796 bp were generated on electrophoretic gel for buffalo, donkey, cow, horse, dog, and goat meat species respectively. Besides singleplexing, duplex (multiplex) PCR for donkey and horse, donkey and goat, and donkey and buffalo were also performed which successfully generated corresponding bands. The method is a simple and straightforward setup; results can be interpreted easily in a short time and do not need validation by sequencing. Results of the present study clearly demonstrate that the method can be used as an identification tool for differentiation between cow, buffalo, goat, donkey, horse, and dog species. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19369751
Volume :
12
Issue :
12
Database :
Complementary Index
Journal :
Food Analytical Methods
Publication Type :
Academic Journal
Accession number :
139691961
Full Text :
https://doi.org/10.1007/s12161-019-01640-2