Accurate Differentiation of Green Beans of Arabica and Robusta Coffee Using Nanofluidic 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 qua...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zhang, Dapeng, Vega, Fernando E., Infante, Francisco, Solano Sánchez, William, Johnson, Elizabeth S., Meinhardt, Lyndel W.
Formato:	Artículo
Lenguaje:	Inglés
Publicado:	2020
Materias:	GRANOS DE CAFE CAFE ARABICA POLIMORFISMO DIFERENCIACION CAFE VERDE COMERCIALIZACION PRODUCCION COMERCIAL PRODUCTOS AGRICOLAS INDUSTRIA EVALUACION SENSORIAL
Acceso en línea:	https://repositorio.catie.ac.cr/handle/11554/9468 http://dx.doi.org/10.1093/jaocint/qsz002

id	RepoCATIE9468
record_format	dspace
spelling	RepoCATIE94682023-09-14T22:51:13Z Accurate Differentiation of Green Beans of Arabica and Robusta Coffee Using Nanofluidic Array of Single Nucleotide Polymorphism (SNP) Markers Zhang, Dapeng Vega, Fernando E. Infante, Francisco Solano Sánchez, William Johnson, Elizabeth S. Meinhardt, Lyndel W. GRANOS DE CAFE CAFE ARABICA POLIMORFISMO DIFERENCIACION CAFE VERDE COMERCIALIZACION PRODUCCION COMERCIAL PRODUCTOS AGRICOLAS INDUSTRIA EVALUACION SENSORIAL 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. 2020-04-23T16:28:24Z 2020-04-23T16:28:24Z 2020 Artículo https://repositorio.catie.ac.cr/handle/11554/9468 http://dx.doi.org/10.1093/jaocint/qsz002 en Journal of AOAC INTERNATIONAL Volumen. 103, Número. 2, 2020 info:eu-repo/semantics/restrictedAccess application/pdf
institution	Centro Agronómico Tropical de Investigación y Enseñanza
collection	Repositorio CATIE
language	Inglés
topic	GRANOS DE CAFE CAFE ARABICA POLIMORFISMO DIFERENCIACION CAFE VERDE COMERCIALIZACION PRODUCCION COMERCIAL PRODUCTOS AGRICOLAS INDUSTRIA EVALUACION SENSORIAL
spellingShingle	GRANOS DE CAFE CAFE ARABICA POLIMORFISMO DIFERENCIACION CAFE VERDE COMERCIALIZACION PRODUCCION COMERCIAL PRODUCTOS AGRICOLAS INDUSTRIA EVALUACION SENSORIAL Zhang, Dapeng Vega, Fernando E. Infante, Francisco Solano Sánchez, William Johnson, Elizabeth S. Meinhardt, Lyndel W. Accurate Differentiation of Green Beans of Arabica and Robusta Coffee Using Nanofluidic 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.
format	Artículo
author	Zhang, Dapeng Vega, Fernando E. Infante, Francisco Solano Sánchez, William Johnson, Elizabeth S. Meinhardt, Lyndel W.
author_facet	Zhang, Dapeng Vega, Fernando E. Infante, Francisco Solano Sánchez, William Johnson, Elizabeth S. Meinhardt, Lyndel W.
author_sort	Zhang, Dapeng
title	Accurate Differentiation of Green Beans of Arabica and Robusta Coffee Using Nanofluidic Array of Single Nucleotide Polymorphism (SNP) Markers
title_short	Accurate Differentiation of Green Beans of Arabica and Robusta Coffee Using Nanofluidic Array of Single Nucleotide Polymorphism (SNP) Markers
title_full	Accurate Differentiation of Green Beans of Arabica and Robusta Coffee Using Nanofluidic Array of Single Nucleotide Polymorphism (SNP) Markers
title_fullStr	Accurate Differentiation of Green Beans of Arabica and Robusta Coffee Using Nanofluidic Array of Single Nucleotide Polymorphism (SNP) Markers
title_full_unstemmed	Accurate Differentiation of Green Beans of Arabica and Robusta Coffee Using Nanofluidic Array of Single Nucleotide Polymorphism (SNP) Markers
title_sort	accurate differentiation of green beans of arabica and robusta coffee using nanofluidic array of single nucleotide polymorphism (snp) markers
publishDate	2020
url	https://repositorio.catie.ac.cr/handle/11554/9468 http://dx.doi.org/10.1093/jaocint/qsz002
work_keys_str_mv	AT zhangdapeng accuratedifferentiationofgreenbeansofarabicaandrobustacoffeeusingnanofluidicarrayofsinglenucleotidepolymorphismsnpmarkers AT vegafernandoe accuratedifferentiationofgreenbeansofarabicaandrobustacoffeeusingnanofluidicarrayofsinglenucleotidepolymorphismsnpmarkers AT infantefrancisco accuratedifferentiationofgreenbeansofarabicaandrobustacoffeeusingnanofluidicarrayofsinglenucleotidepolymorphismsnpmarkers AT solanosanchezwilliam accuratedifferentiationofgreenbeansofarabicaandrobustacoffeeusingnanofluidicarrayofsinglenucleotidepolymorphismsnpmarkers AT johnsonelizabeths accuratedifferentiationofgreenbeansofarabicaandrobustacoffeeusingnanofluidicarrayofsinglenucleotidepolymorphismsnpmarkers AT meinhardtlyndelw accuratedifferentiationofgreenbeansofarabicaandrobustacoffeeusingnanofluidicarrayofsinglenucleotidepolymorphismsnpmarkers
_version_	1808116777213755392

Accurate Differentiation of Green Beans of Arabica and Robusta Coffee Using Nanofluidic Array of Single Nucleotide Polymorphism (SNP) Markers

Ejemplares similares