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PLoS One ; 12(3): e0174150, 2017.
Artículo en Inglés | MEDLINE | ID: mdl-28355293

RESUMEN

Yams (Dioscorea sp.) are staple food crops for millions of people in tropical and subtropical regions. Dioscorea alata, also known as greater yam, is one of the major cultivated species and most widely distributed throughout the tropics. Despite its economic and cultural importance, very little is known about its origin, diversity and genetics. As a consequence, breeding efforts for resistance to its main disease, anthracnose, have been fairly limited. The objective of this study was to contribute to the understanding of D. alata genetic diversity by genotyping 384 accessions from different geographical regions (South Pacific, Asia, Africa and the Caribbean), using 24 microsatellite markers. Diversity structuration was assessed via Principal Coordinate Analysis, UPGMA analysis and the Bayesian approach implemented in STRUCTURE. Our results revealed the existence of a wide genetic diversity and a significant structuring associated with geographic origin, ploidy levels and morpho-agronomic characteristics. Seventeen major groups of genetically close cultivars have been identified, including eleven groups of diploid cultivars, four groups of triploids and two groups of tetraploids. STRUCTURE revealed the existence of six populations in the diploid genetic pool and a few admixed cultivars. These results will be very useful for rationalizing D. alata genetic resources in breeding programs across different regions and for improving germplasm conservation methods.


Asunto(s)
Colletotrichum/fisiología , Dioscorea/genética , Resistencia a la Enfermedad/genética , Variación Genética , Filogenia , África , Asia , Teorema de Bayes , Región del Caribe , Colletotrichum/patogenicidad , Productos Agrícolas , Dioscorea/clasificación , Dioscorea/microbiología , Marcadores Genéticos , Repeticiones de Microsatélite , Filogeografía , Fitomejoramiento , Enfermedades de las Plantas/genética , Enfermedades de las Plantas/microbiología , Ploidias , Análisis de Componente Principal
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