Ahmet Ipek

SSR marker-based DNA fingerprinting and cultivar identification of olives (Olea europaea).

Four well-known commercial olive cultivars (Domat, Edremit, Gemlik, and Memecik) and six local cultivars (Ziraat, Isrange, Tuz, Patos, Yag, and Marantelli) from northeastern Turkey were analyzed for genetic diversity and relationships using seven SSR primers (DCA-4, DCA-09, DCA-11, DCA-16, DCA-17, GAPU-89, UDO-14). The number of markers ranged from 3 (DCA-04 and DCA-17) to 6 (DCA-11, DCA-16, GAPU-89), with an average of 4.57 alleles per primer. UPGMA cluster analysis based on a simple matching similarity matrix grouped cultivars into two main clusters. Three pairs of cultivars (Ziraat and Gemlik, Isrange and Tuz, and Patos and Yag) were thought to be different cultivars although they produced identical SSR profiles. The results indicate the efficiency of SSR markers for evaluation of genetic diversity in olives and identification of misnamed individuals of the same genotype.

Determination of self-incompatibility groups of sweet cherry genotypes from Turkey.

Determination of S-allele combinations of sweet cherry genotypes and cultivars has importance for both growers and breeders. We determined S-allele combinations of 40 local Turkish sweet cherry genotypes using a PCR-based method. Ten different S-alleles were detected. Although the most common S-allele was S3, as also found in Western genotypes and cultivars, there were some differences in the frequencies of some S-alleles between Turkish and Western sweet cherry genotypes. According to their S-allele compositions, 30 local Turkish sweet cherry genotypes were assigned to 10 previously identified incompatibility groups. For the remaining genotypes, whose S-allele combinations did not fit to any previous incompatibility groups, three more incompatibility groups, XLII, XLIII and XLIV, were proposed. Results obtained from this study will help both sweet cherry growers and breeders to better manage these local Turkish sweet cherry genotypes in their orchards.

Assessment of genetic relationships among 29 introduced and 49 local sweet cherry accessions in Turkey using AFLP and SSR markers.

Summary The characterisation of sweet cherry (Prunus avium L.) genetic resources in Turkey may help to increase their use in breeding programmes worldwide, as Turkey is the centre of origin of sweet cherry. Amplified fragment length polymorphism (AFLP) and simple sequence repeat (SSR) markers were therefore used to analyse genetic diversity among a total of 78 local and introduced sweet cherry cultivars. Four AFLP primer combinations, and six SSR primer pairs for sweet cherry were used for genetic diversity analysis. A genetic similarity matrix was calculated using the combined data from AFLP and SSR analyses with simple matching coefficient. Genetic similarities among the sweet cherry genotypes studied were higher than 42%. No two accessions had an identical AFLP and SSR marker profile, indicating that all 78 genotypes were unique. An UPGMA dendrogram, based on the similarity matrix, revealed 18 separate Groups at or above the 70% similarity level. While some Groups consisted of both introduced and local genotypes, other Groups had only local genotypes. This result suggests that there was broad genetic diversity among the local Turkish sweet cherry genotypes, which was not present in the introduced sweet cherry accessions. The genetic variation present in local Turkish sweet cherry genotypes may be useful for future breeding programmes. We found that the use of both SSR and AFLP marker systems was effective for distinguishing between genetically-close sweet cherry genotypes. These marker systems can be used to complement pomological and morphological markers during the characterisation and identification of sweet cherry genotypes.

Development and validation of new SSR markers from expressed regions in the garlic genome

Only a limited number of simple sequence repeat (SSR) markers is available for the genome of garlic (Allium sativum L.) despite the fact that SSR markers have become one of the most preferred DNA marker systems. To develop new SSR markers for the garlic genome, garlic expressed sequence tags (ESTs) at the publicly available GarlicEST database were screened for SSR motifs and a total of 132 SSR motifs were identified. Primer pairs were designed for 50 SSR motifs and 24 of these primer pairs were selected as SSR markers based on their consistent amplification patterns and polymorphisms. In addition, two SSR markers were developed from the sequences of garlic cDNA-AFLP fragments. The use of 26 EST-SSR markers for the assessment of genetic relationship was tested using 31 garlic genotypes. Twenty six EST-SSR markers amplified 130 polymorphic DNA fragments and the number of polymorphic alleles per SSR marker ranged from 2 to 13 with an average of 5 alleles. Observed heterozygosity and polymorphism information content (PIC) of the SSR markers were between 0.23 and 0.88, and 0.20 and 0.87, respectively. Twenty one out of the 31 garlic genotypes were analyzed in a previous study using AFLP markers and the garlic genotypes clustered together with AFLP markers were also grouped together with EST-SSR markers demonstrating high concordance between AFLP and EST-SSR marker systems and possible immediate application of EST-SSR markers for fingerprinting of garlic clones. EST-SSR markers could be used in genetic studies such as genetic mapping, association mapping, genetic diversity and comparison of the genomes of Allium species.

Early Identification of Stable Transformation Events by Combined Use of Antibiotic Selection and Vital Detection of Green Fluorescent Protein (GFP) in Carrot (Daucus carota L.) Callus

Genetic transformation is a useful technique to complement conventional breeding in crop improvement. Although carrot has been a model organism for in vitro embryogenesis study, genetic transformation of carrot is still lengthy and labor intensive. An efficient transformation and detection system is desirable. Direct infection of Agrobacterium to carrot calli has provided an easy way for carrot genetic transformation. To improve the efficiency of antibiotic selection in this method, we report the combined use of an improved green-fluorescent protein, referred to as smGFP, to establish a versatile selection method for carrot callus transformation system. By combining antibiotic selection with the bright fluorescence observed in the callus tissue, we were able to easily identify stable transformants in early stage of the transformation process. In addition to the GFP expression of the callus cells, the transgenic nature of callus cells was confirmed with Southern and Western analysis. We found we can link the simplicity of carrot-callus-cell transformation, early detection of stable transformants with antibiotic selection, visualization of GFP fluorescence, and molecular analysis (Southern and Western) of callus tissue (non-photosynthetic tissue) to provide a more efficient way in identifying stable transformants at early stage of carrot transformation.