Identification and validation of QTLs for tuber quality related traits in greater yam (Dioscorea alata L.) - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement
Article Dans Une Revue Scientific Reports Année : 2022

Identification and validation of QTLs for tuber quality related traits in greater yam (Dioscorea alata L.)

Résumé

Two Dioscorea alata populations were generated by hand pollination between contrasted diploid genitors. Population A (74F × Kabusa) was composed of 121 progenies while population B (74F × 14M) involved 193 progenies. These two populations were assessed over two consecutive years regarding important tuber quality traits. Analysis of variance showed that the genotype had the greatest influence on the phenotypic scores. Also for some traits, effect of the year_replicate was strong. The heritabilities of most traits were high. Based on these data and a reference high-density genetic map of greater yam, a total of 34 quantitative trait loci (QTLs) were detected on 8 of the 20 yam chromosomes. They corresponded to five of each of the following traits: tuber size, shape regularity, tubercular roots, skin texture, tuber flesh oxidation, six for oxidation ratio and three for flesh colour. The fraction of total phenotypic variance attributable to a single QTL ranged from 11.1 to 43.5%. We detected significant correlations between traits and QTL colocalizations that were consistent with these correlations. A majority of QTLs (62%) were found on linkage group LG16, indicating that this chromosome could play a major role in genetic control of the investigated traits. In addition, an inversion involving this chromosome was detected in the Kabusa male. Nine QTLs were validated on a diversity panel, including three for tuber size, three for shape regularity, two for skin texture and one for tubercular roots. The approximate physical localization of validated QTLs allowed the identification of various candidates genes. The validated QTLs should be useful for breeding programs using marker-assisted selection to improve yam tuber quality.
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Dates et versions

hal-03697543 , version 1 (17-06-2022)

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Citer

Adou Emmanuel Ehounou, Fabien Cormier, Erick Maledon, Elie Nudol, Hélène Vignes, et al.. Identification and validation of QTLs for tuber quality related traits in greater yam (Dioscorea alata L.). Scientific Reports, 2022, 12 (1), ⟨10.1038/s41598-022-12135-2⟩. ⟨hal-03697543⟩
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