African Journal of
Biotechnology

  • Abbreviation: Afr. J. Biotechnol.
  • Language: English
  • ISSN: 1684-5315
  • DOI: 10.5897/AJB
  • Start Year: 2002
  • Published Articles: 12495

Full Length Research Paper

Molecular characterisation for resistance to leaf spot disease in some local groundnut ecotypes of Burkina-Faso

R. Bernard SAWADOGO
  • R. Bernard SAWADOGO
  • Life and Earth Science Laboratory, Norbert ZONGO University, BP: 376 Koudougou, Burkina Faso.
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S. NANKONE
  • S. NANKONE
  • Life and Earth Science Laboratory, Norbert ZONGO University, BP: 376 Koudougou, Burkina Faso.
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E. SAWADOGO/COMPAORE
  • E. SAWADOGO/COMPAORE
  • National Institute for the Environment and Agricultural Research (INERA), Burkina Faso.
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M. Bertin ZAGRE
  • M. Bertin ZAGRE
  • National Institute for the Environment and Agricultural Research (INERA), Burkina Faso.
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Philippe SANKARA
  • Philippe SANKARA
  • Biosciences Laboratory, Department of Biology and Physiology Vegetal, Ouaga University I Pr Joseph KI-ZERBO, 03 BP 7021 Ouagadougou 03, Burkina Faso.
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K. Marie-Laure GUISSOU
  • K. Marie-Laure GUISSOU
  • Life and Earth Science Laboratory, Norbert ZONGO University, BP: 376 Koudougou, Burkina Faso.
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  •  Received: 05 June 2024
  •  Accepted: 16 July 2024
  •  Published: 31 August 2024

Abstract

Leaf spot disease is the major constraints causing yield losses in groundnut. Numerous breeding programmes have been set up to select disease-resistant varieties, but the selection pressure exerted by resistant varieties encourages the development of new biotypes. It is therefore necessary to use biotechnology to identify traits of interest. The general objective of this study is to identify SSR markers associated with resistance to groundnut leaf spot disease. The Rippoll DNA extraction protocol was used to extract DNA from genotypes. Then twenty microsatellite markers were used to genotype the ecotypes. After DNA extraction, the reaction mixture was prepared, amplified in a thermocycler and then migrated on an agarose gel. Development was carried out using ultraviolet (UV) light and photographed using a Canon camera. The data was analysed using DARWIN software. At the end of this study, it was possible to identify a marker associated with susceptibility and a marker associated with resistance to groundnut leaf spot disease. These markers could be used in molecular marker-assisted selection for resistance to this disease.

 

Key words: SSR, leaf spot, groundnut, Burkina Faso.