Theoretical and Applied Genetics

, Volume 111, Issue 2, pp 370–377 | Cite as

Genetic and physical mapping of the grapevine powdery mildew resistance gene, Run1, using a bacterial artificial chromosome library

  • C. L. BarkerEmail author
  • T. Donald
  • J. Pauquet
  • M. B. Ratnaparkhe
  • A. Bouquet
  • A.-F. Adam-Blondon
  • M. R. Thomas
  • I. Dry
Original Paper


Resistance to grapevine powdery mildew is controlled by Run1, a single dominant gene present in the wild grapevine species, Muscadinia rotundifolia, but absent from the cultivated species, Vitis vinifera. Run1 has been introgressed into V. vinifera using a pseudo-backcross strategy, and genetic markers have previously been identified that are linked to the resistance locus. Here we describe the construction of comprehensive genetic and physical maps spanning the resistance locus that will enable future positional cloning of the resistance gene. Physical mapping was performed using a bacterial artificial chromosome (BAC) library constructed using genomic DNA extracted from a resistant V. vinifera individual carrying Run1 within an introgression. BAC contig assembly has enabled 20 new genetic markers to be identified that are closely linked to Run1, and the position of the resistance locus has been refined, locating the gene between the simple sequence repeat (SSR) marker, VMC4f3.1, and the BAC end sequence-derived marker, CB292.294. This region contains two multigene families of resistance gene analogues (RGA). A comparison of physical and genetic mapping data indicates that recombination is severely repressed in the vicinity of Run1, possibly due to divergent sequence contained within the introgressed fragment from M. rotundifolia that carries the Run1 gene.


Amplify Fragment Length Polymorphism Bacterial Artificial Chromosome Powdery Mildew Simple Sequence Repeat Marker Bacterial Artificial Chromosome Clone 
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.



This work was supported in part by the Commonwealth Cooperative Research Centre Program, and specifically by the Cooperative Research Centre for Viticulture (CRCV) and the Grape and Wine Research and Development Corporation (GWRDC). The authors would like to acknowledge the excellent technical assistance of A. Jermakow, K. Swann, N. Tikhomirov and Y. Bertrand.


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Copyright information

© Springer-Verlag 2005

Authors and Affiliations

  • C. L. Barker
    • 1
    Email author
  • T. Donald
    • 1
  • J. Pauquet
    • 2
    • 3
  • M. B. Ratnaparkhe
    • 2
    • 4
  • A. Bouquet
    • 2
  • A.-F. Adam-Blondon
    • 2
    • 5
  • M. R. Thomas
    • 1
  • I. Dry
    • 1
  1. 1.CSIRO Plant IndustryGlen OsmondAustralia
  2. 2.UMR1097-VigneINRA-AgroMMontpellier Cedex 01France
  3. 3.CiradMontpellier Cedex 5France
  4. 4.Department of Crop and Soil Environmental Sciences Virginia TechBlacksburgUSA
  5. 5.INRA-URGVEvry CedexFrance

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