Theoretical and Applied Genetics

, Volume 122, Issue 4, pp 747–758 | Cite as

Codominant PCR-based markers and candidate genes for powdery mildew resistance in melon (Cucumis melo L.)

  • Fernando J. Yuste-Lisbona
  • Carmen Capel
  • María L. Gómez-Guillamón
  • Juan Capel
  • Ana I. López-Sesé
  • Rafael Lozano
Original Paper


Powdery mildew caused by Podosphaera xanthii is a major disease in melon crops, and races 1, 2, and 5 of this fungus are those that occur most frequently in southern Europe. The genotype TGR-1551 bears a dominant gene that provides resistance to these three races of P. xanthii. By combining bulked segregant analysis and amplified fragment length polymorphisms (AFLP), we identified eight markers linked to this dominant gene. Cloning and sequencing of the selected AFLP fragments allowed the development of six codominant PCR-based markers which mapped on the linkage group (LG) V. Sequence analysis of these markers led to the identification of two resistance-like genes, MRGH5 and MRGH63, belonging to the nucleotide binding site (NBS)-leucine-rich repeat (LRR) gene family. Quantitative trait loci (QTL) analysis detected two QTLs, Pm-R1-2 and Pm-R5, the former significantly associated with the resistance to races 1 and 2 (LOD score of 26.5 and 33.3; 53.6 and 61.9% of phenotypic variation, respectively), and the latter with resistance to race 5 (LOD score of 36.8; 65.5% of phenotypic variation), which have been found to be colocalized with the MRGH5 and MRGH63 genes, respectively. The results suggest that the cluster of NBS-LRR genes identified in LG V harbours candidate genes for resistance to races 1, 2, and 5 of P. xanthii. The evaluation of other resistant germplasm showed that the codominant markers here reported are also linked to the Pm-w resistance gene carried by the accession ‘WMR-29’ proving their usefulness as genotyping tools in melon breeding programmes.


Quantitative Trait Locus Amplify Fragment Length Polymorphism Powdery Mildew Melon Single Nucleotide Polymorphism Marker 
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.



The authors thank R. Tovar and R. Camero for their valuable collaboration in evaluation of the phenotypic traits. The authors also thank L. Rodríguez and G. Ruiz for their help with the laboratory work. This research was supported by the research projects AGL2008-05687-C02-01 and PO6-AGR-02309 funded by the Ministerio de Ciencia e Innovación and Junta de Andalucía, respectively.


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Copyright information

© Springer-Verlag 2011

Authors and Affiliations

  • Fernando J. Yuste-Lisbona
    • 1
    • 2
  • Carmen Capel
    • 2
  • María L. Gómez-Guillamón
    • 1
  • Juan Capel
    • 2
  • Ana I. López-Sesé
    • 1
  • Rafael Lozano
    • 2
  1. 1.Instituto de Hortofruticultura Subtropical y Mediterránea ‘La Mayora’ (IHSM, UMA-CSIC)MálagaSpain
  2. 2.Departamento de Biología Aplicada (Genética), Edificio CITE II-BUniversidad de AlmeríaAlmeríaSpain

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