1. Selecting a core set of nuclear SNP markers for molecular characterization of Arabica coffee (Coffea arabica L.) genetic resources
- Author
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Fernando E. Vega, Lyndel W. Meinhardt, Francisco Infante, William Solano, Fuyuan Su, and Dapeng Zhang
- Subjects
0106 biological sciences ,0301 basic medicine ,Core set ,Germplasm ,Linkage disequilibrium ,business.industry ,Coffea arabica ,food and beverages ,Biology ,010603 evolutionary biology ,01 natural sciences ,Biotechnology ,Minor allele frequency ,03 medical and health sciences ,030104 developmental biology ,Genetics ,Identification (biology) ,Coffee bean ,business ,Genotyping ,Ecology, Evolution, Behavior and Systematics - Abstract
Coffee is one of the most economically important agricultural commodities in the world. Labeling accuracy and conservation efficiency are essential for coffee germplasm management and for the exchange and utilization in breeding new varieties. However, due to its homogenous genetic background, accurate identification of Coffea arabica germplasm has not been fully achieved. Specifically, data comparison across different laboratories and genotyping platforms has not been available. Here, we report the screening of 672 candidate SNPs using Nano-Fluidic Array genotyping. Based on call rate, Minor Allele Frequency and Linkage Disequilibrium, a set of 96 SNPs were selected for genotyping C. arabica. This validated panel is suitable for use in coffee germplasm conservation and crop improvement, including varietal identification, seeds and nursery accreditation, and coffee bean authentication.
- Published
- 2021
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