Evaluation of post-polymerase chain reaction melting temperature analysis for meat species identification in mixed DNA samples

被引:48
作者
Lopez-Andreo, Maria [1 ]
Garrido-Pertierra, Amando [1 ]
Puyet, Antonio [1 ]
机构
[1] Univ Complutense Madrid, Fac Vet, Dept Bioquim & Biol Mol 4, E-28040 Madrid, Spain
关键词
food authenticity; species identification; real-time PCR; cytochrome b; meat species;
D O I
10.1021/jf0615045
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
Real-time uniplex and duplex polymerase chain reaction (PCR) assays with a SYBR Green I post-PCR melting curve analysis were evaluated for the identification and quantification of bovine, porcine, horse, and wallaroo DNA in food products. Quantitative values were derived from threshold-cycle (C-t) data obtained from serial dilutions of purified DNA. The limits of detection in uniplex reactions were 0.04 pg for porcine and wallaroo DNA and 0.4 pg for cattle and horse DNA. Species specificity of the PCR products was tested by the identification of peaks in DNA melting curves, measured as the decrease of SYBR Green I fluorescence at the dissociation temperature. The peaks could be distinguished above the background even at the lowest amount of template DNA detected by the C-t method. The system was also tested in duplex reactions, by use of either single-species DNA or DNA admixtures containing different shares of two species. The minimum proportions of each DNA species allowing the resolution of T-m peaks in the duplex reactions were 5% (cattle or wallaroo) in cattle/wallaroo mixtures, 5% porcine and 1% horse in porcine/horse mixtures, 60% porcine and 1% wallaroo in porcine/wallaroo mixtures, and 1% cattle and 5% horse in cattle/horse mixtures. A loss in the sensitivity of the method was observed for some DNA combinations in the duplex assay. In contrast, the results obtained from SYBR Green I uniplex and duplex reactions with single-species DNA were largely comparable to those obtained previously with species-specific TaqMan probes, showing the suitability of that simpler experimental approach for large-scale analytical applications.
引用
收藏
页码:7973 / 7978
页数:6
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