Theoretical and Applied Genetics

, Volume 125, Issue 5, pp 909–920 | Cite as

Consensus mapping of major resistance genes and independent QTL for quantitative resistance to sunflower downy mildew

  • Patrick VincourtEmail author
  • Falah As-sadi
  • Amandine Bordat
  • Nicolas B. Langlade
  • Jerome Gouzy
  • Nicolas Pouilly
  • Yannick Lippi
  • Frédéric Serre
  • Laurence Godiard
  • Denis Tourvieille de Labrouhe
  • Felicity VearEmail author
Original Paper


Major gene resistance to sunflower downy mildew (Plasmopara halstedii) races 304 and 314 was found to segregate independently from the resistance to races 334, 307 and 304 determined by the gene Pl2, already positioned on Linkage Group (LG) 8 of sunflower molecular maps. Using a consensus SSR–SNP map constructed from the INEDI RIL population and a new RIL population FU × PAZ2, the positions of Pl2 and Pl5 were confirmed and the new gene, denoted Pl21, was mapped on LG13, at 8 cM from Pl5. The two RIL populations were observed for their quantitative resistance to downy mildew in the field and both indicated the existence of a QTL on LG8 at 20–40 cM from the major resistance gene cluster. In addition, for the INEDI population, a strong QTL on LG10, reported previously, was confirmed and a third QTL was mapped on LG7. A growth chamber test methodology, significantly correlated with field results, also revealed the major QTL on LG10, explaining 65 % of variability. This QTL mapped in the same area as a gene involved in stomatal opening and root growth, which may be suggested as a possible candidate to explain the control of this character. These results indicate that it should be possible to combine major genes and other resistance mechanisms, a strategy that could help to improve durability of sunflower resistance to downy mildew.


Downy Mildew Helianthus Annuus Quantitative Resistance Downy Mildew Resistance Major Resistance Gene 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



We would like to thank S. Roche, M-C. Boniface, N. Blanchet, D. Jolivot, P. Walser and the INRA farm, greenhouse and growth chamber teams at Clermont-Ferrand and Toulouse for their expert technical help. PROMOSOL provided financial support for this research. SNP genotyping data were obtained in collaboration with the companies BIOGEMMA, SYNGENTA SEEDS, SOLTIS and RAGT, during the “SUNYFUEL” project, financially supported by the French National Research Agency, and the OLEOSOL project, with the financial support from the Midi Pyrénées Region, the European Fund for Regional Development (EFRD), and the French Fund for Competitiveness Clusters (FUI).

Supplementary material

122_2012_1882_MOESM1_ESM.xlsx (95 kb)
Supplementary file 1: Helianthus annuus candidate gene sequences chosen for SNP identification and mapping (CG_code, HU_cluster ( or HP_cluster (, Arabidopsis thaliana_homologue, FWD_primer_name, FWD_primer_sequence, REV_primer_name, REV_primer_sequence) (XLSX 94 kb)
122_2012_1882_MOESM2_ESM.xlsx (14 kb)
Supplementary file 2: List of 48 sunflower lines used to detect SNP polymorphism on candidate genes (XLSX 14 kb)
122_2012_1882_MOESM3_ESM.xlsx (1.5 mb)
Supplementary file 3: Consensus map built on INEDI and FU × PAZ2 RIL populations (XLSX 1573 kb)
122_2012_1882_MOESM4_ESM.txt (2 kb)
Supplementary file 4: Partial sequence of CG0103 (fasta format) (TXT 1 kb)
122_2012_1882_MOESM5_ESM.txt (1 kb)
Supplementary file 5: Partial sequence of CG0449 (fasta format) (TXT 0 kb)


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Copyright information

© Springer-Verlag 2012

Authors and Affiliations

  • Patrick Vincourt
    • 1
    • 2
    Email author
  • Falah As-sadi
    • 1
    • 2
  • Amandine Bordat
    • 1
    • 2
  • Nicolas B. Langlade
    • 1
    • 2
  • Jerome Gouzy
    • 1
    • 2
  • Nicolas Pouilly
    • 1
    • 2
  • Yannick Lippi
    • 1
    • 2
  • Frédéric Serre
    • 3
  • Laurence Godiard
    • 1
    • 2
  • Denis Tourvieille de Labrouhe
    • 3
  • Felicity Vear
    • 3
    Email author
  1. 1.Laboratoire des Interactions Plantes-Microorganismes (LIPM), INRA, UMR441Castanet-TolosanFrance
  2. 2.Laboratoire des Interactions Plantes-Microorganismes (LIPM), CNRS, UMR2594Castanet-TolosanFrance
  3. 3.INRA, UMR 1095, Domaine de CrouelleClermont-FerrandFrance

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