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Connected populations for detecting quantitative resistance factors to phoma stem canker in oilseed rape (Brassica napus L.)

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Abstract

Improvement of effectiveness and durability of disease resistance in crops most often relies on the use of quantitative resistance, with the hypothesis that a wide range of quantitative resistance factors (QTL) makes the overcoming of the resistance by the pathogen more difficult. For an optimum use of these QTL in effective and durable strategies of resistance deployment, there is a need to precisely know their localization but also their stability/specificity and their allelic effects in various genetic backgrounds. Stem canker caused by the fungus Leptosphaeria maculans is one of the most important diseases in oilseed rape. In this Brassica napus- L. maculans pathosystem, QTL were previously identified by linkage analysis using populations derived from biparental crosses that were analyzed separately. In this study, we explored new quantitative resistance factors using a multi-cross connected design derived from four resistant lines crossed with a single susceptible line. Independent and connected mapping analyses revealed to be complementary to get an overview of QTL organization. We validated different QTL across different years and genetic backgrounds and identified novel QTL which had not yet been mapped. Population-common and population-specific QTL were identified. Knowledge of QTL organization and effects should help in the rational choice of relevant factors in breeding resistant genotypes to be integrated with other control means such as cultural practices and rotations for durable management of the disease.

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Acknowledgments

This work was supported by the French Institut National de la Recherche Agronomique—Department of ‘Biologie et Amélioration des Plantes’, CETIOM (Centre Technique Interprofessionnel des Oléagineux Métropolitains) and PROMOSOL. We thank the team of the INRA Experimental Unit (Le Rheu) for performing the disease evaluation trials. Genotyping was performed on Biogenouest® and Gentyane® platforms. We greatly acknowledge Cyril Falentin and Sylvie Nègre for their help in anchoring the markers on the B. napus reference sequence.

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  1. C. Jestin

    Present address: Terres Inovia, Avenue Lucien Brétignières, 78850, Thiverval Grignon, France

Authors and Affiliations

  1. INRA, UMR1349 IGEPP, BP35327, 35653, Le Rheu, France

    C. Jestin, N. Bardol, M. Lodé, P. Duffé, C. Domin, P. Vallée & R. Delourme

  2. INRA, UR875 MIAT, Chemin de Borde Rouge, 31326, Castanet-Tolosan, France

    B. Mangin

  3. AGROCAMPUS OUEST, UMR1349 IGEPP, BP35327, 35653, Le Rheu, France

    M. J. Manzanares-Dauleux

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  1. C. Jestin
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11032_2015_356_MOESM1_ESM.ppt

Supplementary material 1 Figure 1: Genetic maps from the AB (‘Aviso’ × ‘Bristol’), CB (‘Canberra’ × ‘Bristol’), DB (‘Darmor’ × ‘Bristol’) and GB (‘Grizzly’ × ‘Bristol’) populations, and the consensus genetic map derived from these populations. Common segregating loci between at least two populations are indicated in red in the independent populations and on the consensus map. (PPT 1447 kb)

11032_2015_356_MOESM2_ESM.ppt

Supplementary material 2 Figure 2: Linkage groups of the consensus map with the QTL of resistance to stem canker identified in the independent populations and the consensus population in 2008, 2009 and 2010 with QTLCartographer (filled rectangles) and MCQTL (hatched rectangles). Green, pink, brown and blue rectangles represent the QTL identified in the AB, CB, DB, GB independent populations, respectively, and red rectangles represent the QTL detected in the connected design. The QTL were named according to their location on each linkage group as in Delourme et al. (2008), the year and the population where they were detected i.e. QLmA9_2008_AB for QTL of resistance to L. maculans located on the linkage group A9 and detected in 2008 in the AB population. A ‘c’ or ‘m’ suffix was added if the QTL was detected with QTLCartographer or MCQTL, respectively. (PPT 182 kb)

Supplementary material 3 (DOCX 14 kb)

Supplementary material 4 (XLSX 23 kb)

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Supplementary material 6 (XLSX 38 kb)

Supplementary material 7 (XLSX 18 kb)

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Jestin, C., Bardol, N., Lodé, M. et al. Connected populations for detecting quantitative resistance factors to phoma stem canker in oilseed rape (Brassica napus L.). Mol Breeding 35, 167 (2015). https://doi.org/10.1007/s11032-015-0356-8

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