Accurate differentiation of green beans of arabica and robusta coffee using anofluidic array of single nucleotide polymorphism (SNP) markers
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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Subjects: | Café verde, Coffea arabica, Coffea canephora, Polimorfismo de nucleótido simple, Productividad agrícola, Industria del café, |
Online Access: | https://academic.oup.com/jaoac/article/103/2/315/5822913 |
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KOHA-OAI-ECOSUR:608802024-03-12T12:44:03ZAccurate differentiation of green beans of arabica and robusta coffee using anofluidic array of single nucleotide polymorphism (SNP) markers Zhang, Dapeng autor Vega, Fernando E. autor 13346 Infante, Francisco Doctor autor 2089 Solano, William autor Johnson, Elizabeth S. autora Meinhardt, Lyndel W. autor textengGreen (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.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.Café verdeCoffea arabica Coffea canephoraPolimorfismo de nucleótido simpleProductividad agrícolaIndustria del caféJournal of AOAC INTERNATIONALhttps://academic.oup.com/jaoac/article/103/2/315/5822913Disponible para usuarios de ECOSUR con su clave de acceso |
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Café verde Coffea arabica Coffea canephora Polimorfismo de nucleótido simple Productividad agrícola Industria del café Café verde Coffea arabica Coffea canephora Polimorfismo de nucleótido simple Productividad agrícola Industria del café |
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Café verde Coffea arabica Coffea canephora Polimorfismo de nucleótido simple Productividad agrícola Industria del café Café verde Coffea arabica Coffea canephora Polimorfismo de nucleótido simple Productividad agrícola Industria del café Zhang, Dapeng autor Vega, Fernando E. autor 13346 Infante, Francisco Doctor autor 2089 Solano, William autor Johnson, Elizabeth S. autora Meinhardt, Lyndel W. autor Accurate differentiation of green beans of arabica and robusta coffee using anofluidic array of single nucleotide polymorphism (SNP) markers |
description |
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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Texto |
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Café verde Coffea arabica Coffea canephora Polimorfismo de nucleótido simple Productividad agrícola Industria del café |
author |
Zhang, Dapeng autor Vega, Fernando E. autor 13346 Infante, Francisco Doctor autor 2089 Solano, William autor Johnson, Elizabeth S. autora Meinhardt, Lyndel W. autor |
author_facet |
Zhang, Dapeng autor Vega, Fernando E. autor 13346 Infante, Francisco Doctor autor 2089 Solano, William autor Johnson, Elizabeth S. autora Meinhardt, Lyndel W. autor |
author_sort |
Zhang, Dapeng autor |
title |
Accurate differentiation of green beans of arabica and robusta coffee using anofluidic array of single nucleotide polymorphism (SNP) markers |
title_short |
Accurate differentiation of green beans of arabica and robusta coffee using anofluidic array of single nucleotide polymorphism (SNP) markers |
title_full |
Accurate differentiation of green beans of arabica and robusta coffee using anofluidic array of single nucleotide polymorphism (SNP) markers |
title_fullStr |
Accurate differentiation of green beans of arabica and robusta coffee using anofluidic array of single nucleotide polymorphism (SNP) markers |
title_full_unstemmed |
Accurate differentiation of green beans of arabica and robusta coffee using anofluidic array of single nucleotide polymorphism (SNP) markers |
title_sort |
accurate differentiation of green beans of arabica and robusta coffee using anofluidic array of single nucleotide polymorphism (snp) markers |
url |
https://academic.oup.com/jaoac/article/103/2/315/5822913 |
work_keys_str_mv |
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