|Gokirmak, Tufan - OREGON STATE UNIVERSITY|
|Mehlenbacher, Shawn - OREGON STATE UNIVERSITY|
Submitted to: International Congress on Hazelnut Proceedings
Publication Type: Abstract Only
Publication Acceptance Date: March 29, 2004
Publication Date: June 14, 2004
Citation: Gokirmak, T., Mehlenbacher, S.A., Bassil, N.V. 2004. Investigation of genetic diversity among european hazelnut (corylus avellana l.) cultivars using ssr markers [abstract]. International Congress on Hazelnut Proceedings, June 14-18, 2004, Tarragona, Spain. pg. 22. Interpretive Summary: The objective of this study was to use 10 new genetic markers recently developed in our lab to analyze the diversity of a collection of 274 cultivars of European hazelnut maintained at the National Clonal Germplasm Repository in Corvallis, Oregon. Eighty-two cultivars contain similar genotypes that are hard to distinguish despite their different geographic origins. Genetic identity of these 82 suspected duplicates will also be evaluated using these 10 new genetic markers.
Technical Abstract: We have used 10 pairs of simple sequence repeats (SSR) primers to analyze the genetic diversity in 274 cultivars of European hazelnut (Corylus avellana) representing a wide range of geographical regions from North America to New Zealand. 82 of 274 cultivars are suspected duplicate accessions. They are morphologically identical, or so similar that the one accession cannot be distinguished from another. Their origin data, however, indicate they were collected from different geographic locations. Preliminary PCR results showed that SSR primers we used are highly polymorphic. ABI Genescan® and Genotyper® software are used to identify the precise allele size generated from each PCR reactions based on internal lane standard. MicroSat and Powermarker software are used to generate a genetic similarity matrix based on possible pair-wise combination of accessions using the 'proportion of shared alleles'. UPGMA cluster analysis is used to construct and draw a phylogenetic tree from the genetic similarity matrix using MEGA2 software