Digital PCR as New Approach to SNP Genotyping in Sugar Beet
作者： Piergiorgio Stevanato , Filippo Biscarini
DOI: 10.1007/S12355-015-0408-8
关键词:
摘要: Real-time PCR (qPCR) allelic discrimination and high-resolution melting (HRM) methods are widely adopted for the detection of single nucleotide polymorphisms (SNP). Digital (dPCR) is a new method recently proposed low-frequency and/or rare SNP. The molecular marker SNP_BvBTC1 used in sugar beet to distinguish between annual biennial flowering plants. CC genotype at this SNP locus associated with beets, while CA AA genotypes typically found beets. In study, we compared sensitivity qPCR, HRM dPCR detecting allele A from two pools bulk DNA composed 90 + 10 plants (B1) 99 1 plant (B2), respectively. All were have genotype. qPCR could not detect either B1 or B2 pool detected only moderate frequencies (10 %), pool. dPCR, on contrary, was able both pools. We therefore concluded that suitable quantitation within bulked samples beet.
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