Genetic diversity of coffee (Coffea spp.) in Mexico evaluated by using DArTseq and SNP markers

The Coffea genus includes about 124 species, of which Coffea arabica L. and Coffea canephora Pierre ex A. Froehner are the most commercially important, supplying 63 and 37% of the world coffee production, respectively. C. arabica L. is associated with better cup quality, but presents serious problem...

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Veröffentlicht in:Genetic resources and crop evolution 2020-10, Vol.67 (7), p.1795-1806
Hauptverfasser: Spinoso-Castillo, J. L., Escamilla-Prado, E., Aguilar-Rincón, V. H., Morales Ramos, V., de los Santos, G. García, Pérez-Rodríguez, P., Corona-Torres, T.
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Sprache:eng
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Zusammenfassung:The Coffea genus includes about 124 species, of which Coffea arabica L. and Coffea canephora Pierre ex A. Froehner are the most commercially important, supplying 63 and 37% of the world coffee production, respectively. C. arabica L. is associated with better cup quality, but presents serious problems with pests and diseases, potentiated by climate change. The development of new varieties of C. arabica L. requires the inclusion of genetic diversity, looking for incorporating new genes to tolerate or resist the most important pests and diseases, maintaining or improving yield and cup quality of the new materials. The technology of diversity arrays based on sequencing (DArTseq™) allows the rapid identification of the single nucleotide polymorphism (SNP) for a genomic approach of genetic diversity. The objectives of the present study were: (1) to evaluate the diversity and genetic structure of a central coffee collection of the Mexican National Bank of Coffee Germplasm; (2) assess the reproducibility and error rates of the markers and their broad representation in the genome and (3) to propose a new collection with representative and divergent promising genotypes for stablishing a coffee breeding program in Mexico. 87 coffee accessions of three different species of the Coffea genus were sequenced and 16,995 SNP markers were derived from 34,000 unique sequences obtained by the DArTseq™ method. After removing the markers with more than 10% of missing data and the MAF 
ISSN:0925-9864
1573-5109
DOI:10.1007/s10722-020-00940-5