Article abstract

International Journal of Biotechnology and Food Science

Research Article | Published May 2017 | Volume 5, Issue 1, pp. 1-9

 

Diversity analysis of selected coffee genotypes using microsatellites and random amplified polymorphic DNA

 

 

 

 

 

 Omingo D. O.1*

 Omondi C. O.2

 Cheresek J.1

 Runo S.3

 Okun D.3

 

  Email Author

 

 

 

    1.    Coffee Research Institute, P.O. Box 4 – 00232, Ruiru, Kenya.

 

   2.    Industrial Crop Research Institute, P.O. BOX 16-80109 Mtwapa, Kenya.

 

   3.    Kenyatta University, P.O. Box 43844-00100, Kenya.

 

 

 

 

 

 

 

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Citation: Omingo DO, Omondi CO, Cheserek J, Runo S, Okun D (2017). Diversity analysis of selected coffee genotypes using microsatellites and random amplified polymorphic DNA. Int. J. Biotechnol. Food Sci. 5(1): 1-9.

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 Abstract 


Two molecular marker systems, RAPD (Random Amplified Polymorphic DNA) and SSR (Simple Sequence Repeats) were used to identify genetic relationship among 24 coffee accessions. The amplification fragments were scored for presence (1) and absence (0) and the data subjected to analysis using STATSTICA software version 8. A total of 79 bands were detected by 10 RAPD and 50 bands were detected by 13 SSR primers. The polymorphism detected by both markers ranged from 33 to 100% for SSR and 50 to 100% for RAPD with average polymorphism of 65 and 81%, respectively. The genetic dissimilarity index among the genotypes ranged from 0.06 to 1 for both SSR and RAPD primers. Using the Unweighted Pair Group Method with Arithmetic Average (UPGMA) analysis, RAPD and SSR markers clustered the genotypes according to the three different species namely; C. eugenioides, C. canephora and C. arabica. This study confirmed the low genetic diversity in Arabica coffee genotypes evaluated with average dissimilarity index of 0.5. The study also widened the information on genetic diversity of coffee germplasm available for breeding programmes in Kenya unlike previous work which focused on commercial cultivars and donors of resistance to diseases.

Keywords  Microsatellites   RAPD   Diversity   Polymorphism




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