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Understanding the genetic diversity and population structure of yam (Dioscorea alata L.) using microsatellite markers

Arnau Gemma, Bhattacharjee Pallab, MN Sheela, Chaïr Hâna, Malapa Roger, Lebot Vincent, K. Abraham, Perrier Xavier, Petro Dalila, Penet Laurent, Pavis Claude. 2017. .
ARTICLE, (2017 ) - PUBLISHEDVERSION - English (en-GB)

OPENACCESS - cc_0, info:eu-repo/semantics/openAccess, https://creativecommons.org/publicdomain/zero/1.0/.
Audience : RESEARCHERS

Sujet
F30 - Génétique et amélioration des plantes, U30 - Méthodes de recherche, F70 - Taxonomie végétale et phytogéographie, U10 - Informatique, mathématiques et statistiques, Dioscorea alata, Variation génétique, Génétique des populations, Marqueur génétique, Microsatellite, Génotype, Provenance, Germplasm, Phylogénie, Polyploïdie, http://aims.fao.org/aos/agrovoc/c_2289, http://aims.fao.org/aos/agrovoc/c_15975, http://aims.fao.org/aos/agrovoc/c_34326, http://aims.fao.org/aos/agrovoc/c_24030, http://aims.fao.org/aos/agrovoc/c_36574, http://aims.fao.org/aos/agrovoc/c_3225, http://aims.fao.org/aos/agrovoc/c_16022, http://aims.fao.org/aos/agrovoc/c_3249, http://aims.fao.org/aos/agrovoc/c_13325, http://aims.fao.org/aos/agrovoc/c_6094, http://aims.fao.org/aos/agrovoc/c_3406, http://aims.fao.org/aos/agrovoc/c_5159, http://aims.fao.org/aos/agrovoc/c_3081, http://aims.fao.org/aos/agrovoc/c_8355, http://aims.fao.org/aos/agrovoc/c_666, http://aims.fao.org/aos/agrovoc/c_32764, http://aims.fao.org/aos/agrovoc/c_1320, http://aims.fao.org/aos/agrovoc/c_5182, http://aims.fao.org/aos/agrovoc/c_3825, http://aims.fao.org/aos/agrovoc/c_7253
Domaines
Agriculture, Biologie, Sciences du vivant, Sciences de l'environnement
Description

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.

Mots-clés
Langue
English (en-GB)
Auteurs
Arnau, Gemma, Bhattacharjee, Pallab, MN, Sheela, Chaïr, Hâna, Malapa, Roger, Lebot, Vincent, K., Abraham, Perrier, Xavier, Petro, Dalila, Penet, Laurent, Pavis, Claude
Contributeurs
Sources
PloS One
Relation
http://agritrop.cirad.fr/584047/
https://doi.org/10.1371/journal.pone.0174150
10.1371/journal.pone.0174150
info:eu-repo/semantics/altIdentifier/doi/10.1371/journal.pone.0174150
info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.1371/journal.pone.0174150
info:eu-repo/semantics/dataset/purl/https://figshare.com/articles/Understanding_the_genetic_diversity_and_population_structure_of_yam_i_Dioscorea_alata_i_L_using_microsatellite_markers/4799149
Couverture
Vanuatu
Nom du journal