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Theoretical and Applied Genetics

, Volume 109, Issue 7, pp 1426–1433 | Cite as

Identification and mapping of AFLP markers linked to peanut (Arachis hypogaea L.) resistance to the aphid vector of groundnut rosette disease

  • L. Herselman
  • R. Thwaites
  • F. M. Kimmins
  • B. Courtois
  • P. J. A. van der Merwe
  • S. E. Seal
Original Paper

Abstract

Groundnut rosette disease is the most destructive viral disease of peanut in Africa and can cause serious yield losses under favourable conditions. The development of disease-resistant cultivars is the most effective control strategy. Resistance to the aphid vector, Aphis craccivora, was identified in the breeding line ICG 12991 and is controlled by a single recessive gene. Bulked segregant analysis (BSA) and amplified fragment length polymorphism (AFLP) analysis were employed to identify DNA markers linked to aphid resistance and for the development of a partial genetic linkage map. A F2:3 population was developed from a cross using the aphid-resistant parent ICG 12991. Genotyping was carried out in the F2 generation and phenotyping in the F3 generation. Results were used to assign individual F2 lines as homozygous-resistant, homozygous-susceptible or segregating. A total of 308 AFLP (20 EcoRI+3/MseI+3, 144 MluI+3/MseI+3 and 144 PstI+3/MseI+3) primer combinations were used to identify markers associated with aphid resistance in the F2:3 population. Twenty putative markers were identified, of which 12 mapped to five linkage groups covering a map distance of 139.4 cM. A single recessive gene was mapped on linkage group 1, 3.9 cM from a marker originating from the susceptible parent, that explained 76.1% of the phenotypic variation for aphid resistance. This study represents the first report on the identification of molecular markers closely linked to aphid resistance to groundnut rosette disease and the construction of the first partial genetic linkage map for cultivated peanut.

Keywords

Linkage Group Amplify Fragment Length Polymorphism Prime Combination Amplify Fragment Length Polymorphism Marker Bulk Segregant Analysis 
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.

Notes

Acknowledgements

This publication is an output from a research project funded by the Department for International Development of the United Kingdom. However, the Department for International Development can accept no responsibility for any information provided or views expressed (DFID project code R7445, Crop Protection Programme).

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Copyright information

© Springer-Verlag 2004

Authors and Affiliations

  • L. Herselman
    • 1
    • 5
  • R. Thwaites
    • 2
    • 6
  • F. M. Kimmins
    • 2
    • 7
  • B. Courtois
    • 3
  • P. J. A. van der Merwe
    • 4
    • 8
  • S. E. Seal
    • 2
  1. 1.Agricultural Research Council-Grain Crops InstitutePotchefstroomSouth Africa
  2. 2.Natural Resources InstituteUniversity of Greenwich at MedwayChatham MaritimeUK
  3. 3.UMR 1096CIRAD-BiotropMontpellier Cedex 5France
  4. 4.Chitedze Agricultural Research StationICRISAT-MalawiLilongweMalawi
  5. 5.Department of Plant SciencesUniversity of the Free StateBloemfonteinSouth Africa
  6. 6.Department of Agricultural SciencesImperial College LondonAshfordUK
  7. 7.NR InternationalAylesfordUK
  8. 8.Agricultural Research Council-Grain Crops InstitutePotchefstroomSouth Africa

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