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A screening assay based on real-time PCR and melt curve analysis was developed to detect DNA from nine common European animal families/species and human. The assay consists of a 10-cycle universal pre-amplification followed by specific nested PCR and was designed to exploit the different melting temperatures ( T) of family/species-specific 12S ribosomal ribonucleic acid and cytochrome b fragments, which are amplified in duplex reactions. Case-related modular application is possible. Beyond determination of the animal family and discrimination from human DNA, evaluation of the melt curve in some cases additionally allows for species determination (e.g. cat vs. lynx). The method presents a quick, flexible and sample-saving approach to assess non-human DNA at low expenses, and it is especially useful in resolution of DNA mixtures. [ABSTRACT FROM AUTHOR]

The cheap and easy identification of species is necessary within multiple fields of molecular biology. The use of high-resolution melting (HRM) of DNA provides a fast closed-tube method for analysis of the sequence composition of the mitochondrial genes 12S rRNA and cytochrome b. We investigated the potential use of HRM for species identification within eleven different animal groups commonly found in Europe by animal-group-specific DNA amplification followed by DNA melting. Influence factors as DNA amount, additional single base alterations, and the existence of mixed samples were taken into consideration. Visual inspection combined with mathematical evaluation of the curve shapes did resolve nearly all species within an animal group. The assay can therefore not only be used for identification of animal groups and mixture analysis but also for species identification within the respective groups. The use of a universal 12S rRNA system additionally revealed a possible approach for species discrimination, mostly by exclusion. The use of the HRM assay showed to be a reliable, fast, and cheap method for species discrimination within a broad range of different animal species and can be used in a flexible "modular" manner depending on the question to be solved.