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Characterization of black spot resistance in diploid roses with QTL detection, meta-analysis and candidate-gene identification

Abstract : The widespread rose black spot disease (BSD) caused by the hemibiotrophic fungus Diplocarpon rosae Wolf. is efficiently controlled with fungicides. However, in the actual context of reducing agrochemical use, the demand for rose bushes with higher levels of resistance has increased. Qualitative resistance conferred by major genes (Rdr genes) has been widely studied but quantitative resistance to BSD requires further investigation. In this study, segregating populations connected through the BSD resistant Rosa wichurana male parent were phenotyped for disease resistance over several years and locations. A pseudo-testcross approach was used, resulting in six parental maps across three populations. A total of 45 individual QTLs with significant effect on BSD resistance were mapped on the male maps (on linkage groups (LG) B3, B4, B5 and B6), and 12 on the female maps (on LG A1, A2, A3, A4 and A5). Two major regions linked to BSD resistance were identified on LG B3 and B5 of the male maps and were integrated into a consensus map built from all three of the male maps. A meta-analysis was used to narrow down the confidence intervals of individual QTLs from three populations by generating meta-QTLs. Two ‘hot spots’ or meta-QTLs were found per LG, enabling reduction of the confidence interval to 10.42 cM for B3 and 11.47 cM for B5. An expert annotation of NBS-LRR encoding genes of the genome assembly of Hibrand et al. was performed and used to explore potential co-localization with R-genes. Co-localization with defense response genes was also investigated.
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Contributeur : Laurence Hibrand-Saint Oyant <>
Soumis le : mardi 8 septembre 2020 - 11:59:02
Dernière modification le : mercredi 14 octobre 2020 - 03:55:52


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D. Lopez Arias, A. Chastellier, T. Thouroude, J. Bradeen, L. van Eck, et al.. Characterization of black spot resistance in diploid roses with QTL detection, meta-analysis and candidate-gene identification. TAG Theoretical and Applied Genetics, Springer Verlag, 2020, 23 p. ⟨10.1007/s00122-020-03670-5⟩. ⟨hal-02933267⟩



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