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RESEARCH ARTICLE

A quantitative approach detects three QTLs involved in powdery mildew resistance at the seedling stage in the winter wheat line RE714

H. Muranty A B , M.-T. Pavoine A , B. Jaudeau A , W. Radek A , G. Doussinault A and D. Barloy A
+ Author Affiliations
- Author Affiliations

A INRA Agrocampus Rennes UMR 118, Amélioration des Plantes et Biotechnologies Végétales, BP 35327, 35653 Le Rheu Cedex, France.

B Corresponding author. Email: Helene.Muranty@rennes.inra.fr

Australian Journal of Agricultural Research 59(8) 714-722 https://doi.org/10.1071/AR07378
Submitted: 5 October 2007  Accepted: 10 April 2008   Published: 29 July 2008

Abstract

Powdery mildew (Blumeria graminis f. sp. tritici) is one of the major diseases of wheat (Triticum aestivum). The objective of the present study was to describe the quantitative resistance to powdery mildew of the winter wheat line RE714 at the seedling stage and to identify microsatellite markers tightly linked to the RE714 resistance QTL, which could be used in marker-assisted selection. A population of 160 recombinant inbred lines obtained from the cross between RE714 (resistant) and Hardi (susceptible) was genotyped with microsatellite and AFLP markers. Fifteen powdery mildew isolates were used to test the resistance of these lines at the seedling stage. QTL analysis enabled us to identify three major QTLs controlling powdery mildew resistance in RE714: a QTL located on chromosome 2A, corresponding to the Pm4b gene, explaining 76–93% of the phenotypic variance for resistance to six isolates; two QTLs located on chromosomes 5D and 6A, each explaining 20–67% of the phenotypic variance for resistance to five isolates. A minor QTL for resistance to four of the six isolates revealing Pm4b was detected in the same region as the 5D QTL. Other minor QTLs were detected on chromosomes 2A and 6B, explaining, respectively, 10.9 and 11.5% of the phenotypic variance for resistance to isolate 96-27. The maps around the three major QTLs were enriched with microsatellite markers that could be used in marker-assisted selection of these QTLs.

Additional keywords: Triticum aestivum, Blumeria graminis f. sp. tritici, disease resistance QTL, SSR markers, AFLP markers, composite interval mapping.


Acknowledgments

Molecular mapping results were in great part obtained through the OUEST-genopole® genotyping technical platform, successively supervised by S. Prioul, A. Lostanlen, and S. Coedel. QTL analysis, including permutations, was performed on the OUEST-genopole® bioinformatics platform. We thank P. Sourdille for sharing information about microsatellite primer sequences ahead of publication. We thank R. Delourme and T. Baldwin for their critical reading of the manuscript.


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