Developing Single Nucleotide Polymorphism (SNP) Markers for the Identification of Coffee Germplasm
2016
Zhou, Lin | Vega, Fernando E. | Tan, Huawei | Lluch, Aixa E Ramírez | Meinhardt, Lyndel W. | Fang, Wanping | Mischke, Sue | Irish, Brian | Zhang, Dapeng
Coffee is one of the most widely consumed beverages and represents a multibillion-dollar global industry. Accurate identification of coffee cultivars is essential for efficient management, exchange, and use of coffee genetic resources. To date, a universal platform that can allow data comparison across different laboratories and genotyping platforms has not been developed by the coffee research community. Using expressed sequence tags (EST) of Coffea arabica, C. canephora and C. racemosa from public databases, we developed 7538 single nucleotide polymorphism (SNP) markers and selected 180 for validation using 25 C. arabica and C. canephora accessions from Puerto Rico. Based on the validation result, we designated a panel of 55 SNP markers that are polymorphic across the two species. The average minor allele frequency and information index of this SNP panel are 0.281 and 0.690, respectively. This panel enabled the differentiation of all tested accessions of C. canephora, which accounts for 79.2 % of the total polymorphism in the samples. Only 21.8 % of the polymorphic SNPs were detected in the 12 C. arabica cultivars, which, nonetheless, were able to unambiguously differentiate the 12 Arabica cultivars into ten unique genotypes, including two synonymous groups. Several local Puerto Rican cultivars with partial Timor pedigree, including Limaní, Frontón, and TARS 18087, showed substantial genetic difference from the other common Arabica cultivars, such as Catuai, Borbón, and Mundo Nuevo. This coffee SNP panel provides robust and universally comparable DNA fingerprints, thus can serve as a genotyping tool to assist coffee germplasm management, propagation of planting material, and coffee cultivar authentication.
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