Accurate Differentiation of Green Beans of Arabica and Robusta Coffee Using Nanofluidic Array of Single Nucleotide Polymorphism (SNP) Markers
Date
2020Author
Zhang, Dapeng
Vega, Fernando E.
Infante, Francisco
Solano Sánchez, William
Johnson, Elizabeth S.
Meinhardt, Lyndel W.
Type
Artículo
Metadata
Show full item recordAbstract
Green (unroasted) coffee is one of the most traded agricultural commodities in the world. The Arabica (Coffea arabica L.) and
Robusta (Coffea canephora Pierre ex A. Froehner) species are the two main types of coffees for commercial production. In
general, Arabica coffee is known to have better quality in terms of sensory characteristics; thus, it has a higher market
value than Robusta coffee. Accurate differentiation of green beans of the two species is, therefore, of commercial interest in
the coffee industry. Using the newly developed single nucleotide polymorphism(SNP) markers, we analyzed a total of 80
single green bean samples, representing 20 Arabica cultivars and four Robusta accessions. Reliable SNP fingerprints were
generated for all tested samples. Unambiguous differentiation between Robusta and Arabica coffees was achieved using
multivariate analysis and assignment test. The SNP marker panel and the genotyping protocol are sufficiently robust to
detect admixture of green coffee in a high-throughput fashion. Moreover, the multilocus SNP approach can differentiate
every single bean within Robusta and 55% of Arabica samples. This advantage, together with the single-bean sensitivity,
suggests a significant potential for practical application of this technology in the coffee industry.
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https://repositorio.catie.ac.cr/handle/11554/9468http://dx.doi.org/10.1093/jaocint/qsz002