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Plant Molecular Biology Reporter

, Volume 28, Issue 4, pp 578–587 | Cite as

Impact of Mapped SSR Markers on the Genetic Diversity of Apricot (Prunus armeniaca L.) in Tunisia

  • Hedia Bourguiba
  • Lamia Krichen
  • Jean-Marc Audergon
  • Bouchaib Khadari
  • Neila Trifi-Farah
Article

Abstract

The impact of mapped microsatellites on the study of genetic diversity of Tunisian apricot accessions was assessed. The genetic variability of 47 traditional apricot cultivars originating from several areas in Tunisia was investigated with 32 polymorphic microsatellite loci selected for their location throughout the eight linkage groups of Prunus genome. The higher polymorphism and greater transportability of these markers among Prunus species were proved by the expected heterozygosity (He = 0.56) and Shannon’s index of diversity (I = 1.05), indicating that Tunisian apricot germplasm maintained a substantial level of genetic diversity. According to their geographical origin, the genetic differentiation among groups (north, center, and south; Fst = 0.04) was lower, while the gene flow among groups was consequent (Nm = 4.79), attesting a narrow genetic background of apricot in the country. Both unweighted pair-group method with arithmetic mean dendrogram, based on Nei’s genetic distances and factorial correspondence analysis, separated northern cultivars from central and southern cultivars, revealing the same molecular basis of apricot material in the Center and the South of Tunisia. These results revealed the efficiency of mapped markers for genetic variability measurements compared to randomly ones, however, no advantage was observed considering the genetic relationships among studied accessions.

Keywords

Genetic diversity Linkage groups Mapped markers Microsatellites Prunus armeniaca L. 

Abbreviations

AFLP

Amplified fragment length polymorphism

DNA

Deoxyribonucleic acid

FCA

Factorial correspondence analysis

LG

Linkage group

PCR

Polymerase chain reactions

SSR

Simple sequence repeat

UPGMA

Unweighted pair-group method with arithmetic mean

Notes

Acknowledgments

This work was partially funded by the “Institut Français de Coopération” (project CMCU 05G0904) and by the Tunisian “Ministère de l’Enseignement Supérieur et de la Recherche Scientifique” (Project Lab B02). The authors would like to thank Mr. Sylvain Santoni (SupAgro Montpellier, France) for his involvement in microsatellite genotyping. Authors kindly acknowledge Dr. A. Hadidi (National Germplasm Resources Laboratory, U.S. Department of Agriculture, ARS, Beltsville, MD 20705-2350, USA) for his fruitful comments and for checking the language on the manuscript.

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Copyright information

© Springer-Verlag 2010

Authors and Affiliations

  • Hedia Bourguiba
    • 1
  • Lamia Krichen
    • 1
  • Jean-Marc Audergon
    • 2
  • Bouchaib Khadari
    • 3
  • Neila Trifi-Farah
    • 1
  1. 1.Laboratoire de Génétique Moléculaire, Immunologie et BiotechnologieFaculté des Sciences de Tunis, Campus universitaireEl ManarTunisie
  2. 2.INRA, UR 1052 Génétique et Amélioration des Fruits et Légumes, DomaineMontfavetFrance
  3. 3.INRA, UMR 1098 Développement et Amélioration des PlantesMontpellier cedex 1France

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