Browsing by Author "Sadik, Gokhan"

Now showing 1 - 3 of 3

Application of Ipbs-Retrotransposons Markers for the Assessment of Genetic Diversity and Population Structure Among Sugar Beet (Beta Vulgaris) Germplasm From Different Regions of the World
(Springer, 2025) Sadik, Gokhan; Yildiz, Mehtap; Taskin, Bilgin; Kocak, Metin; Cavagnaro, Pablo Federico; Baloch, Faheem Shehzad
Sugar beet is an important agricultural crop product that has been produced and consumed worldwide since the eighteenth century and can adapt to various climatic and soil conditions. The two fundamental building blocks of any crop improvement program are germplasm resources, which contain genetic diversity and phenotypic expression of desired traits. In this study, a total of 58 sugar beet genotypes including 12 from Turkey, 4 from India, 12 from the United States of America, 16 from Iran, 12 from England and Beta vulgaris L. subsp. maritima L. Arcang. as wild species were characterized using 15 inter-primer binding site (iPBS) markers that produced intense and polymorphic bands in the germplasm library. Using these 15 iPBS markers, 102 polymorphic bands were produced and the average number of polymorphic bands was determined as 6.8. Polymorphism information content (PIC) values ranged between 0.58 and 0.83, and the average PIC value was found to be 0.70. It was determined that the most genetically different genotypes were PI 590697-US11 and PI 171508-TR8, with a distance of 0.73. Clustering algorithms Unweighted Pair Group Method Algorithm (UPGMA) and Principal Coordinate Algorithm (PCoA) confirmed that genotypes are an important factor in clustering, and STRUCTURE analysis divided sugar beet gene resources into six populations. Also, the analysis of molecular variance (AMOVA) showed that there was 8% variance among populations and 92% variance within populations. This is the first study to investigate the genetic diversity and population structure of sugar beet germplasm using the iPBS-retrotransposon marker system. The results of this research emphasized that iPBS markers are very successful and effective in examining the genetic diversity of sugar beet germplasm. The results obtained in this study provide a theoretical basis for future selection and breeding of superior sugar beet germplasm sources.
Assessment of Genetic Diversity Among 131 Safflower (Carthamus Tinctorius L.) Accessions Using Peroxidase Gene Polymorphism (Pogp) Markers
(Springer, 2022) Yildiz, Mehtap; Altaf, Muhammad Tanveer; Baloch, Faheem Shehzad; Kocak, Metin; Sadik, Gokhan; Kuzgun, Cansu; Tuncturk, Murat
Background Safflower (Carthamus tinctorius L.) is an old oilseed crop with a 1.4 GB genome size and its flowers are used for food coloring, dyes and pharmaceutical industries. It was domesticated from its putative wild ancestor Carthamus palestinus about forty-five hundred years ago in the fertile crescent region.The current study was aimed to determine the genetic diversity, population structure and to check the applicability of iPBS-retrotransposons markers. Methods and results Eleven POGP primers yielded 70 bands of which 61 were highly polymorphic with 87.14% polymorphism. A great level of genetic variation was examined with higher values of overall gene diversity (0.27), genetic distance (0.53), number of effective alleles (1.46), Shannon's information index (0.41) and polymorphism information contents (0.71). Analysis of molecular variance revealed high genetic variation with 79% within the population. The STRUCTURE, PCoA and Neighbor-joining analysis separated the safflower germplasm into 2 major populations and 1 un-classified population. The accessions which were from Asian countries i.e., China, Afghanistan, Turkey, Iran and Pakistan were genetically similar and clustered together in both populations A and B. The maximum genetic distance was measured 0.88 between Pakistan 26 x Pakistan 24. Conclusion Findings of this research such as maximum diversity indices, higher PIC values showed the effectiveness and utility of POGP markers for the evaluation of genetic relationships among safflower accessions. The results of this study also showed that POGP markers are less effective compared to ISSRs, iPBS-retrotransposons and DArTSeq markers. AMOVA showed high genetic variation (79%) within a population and maximum genetic distance was found between the accessions Pakistan 26- Pakistan 24 and may be suggested as candidate parents for future breeding activities of safflower. The accessions from the fertile crescent region were clustered together and proved the origin of safflower domestication. This study highlights genetic variation among safflower germplasm and could be helpfull for parental selection and planning for future breeding programs.
Peroxidase Gene Markers Revealed Genetic Diversity and Population Structure in Okra Germplasm
(Springer, 2022) Yildiz, Mehtap; Furan, Mehmet Alp; Kocak, Metin; Sadik, Gokhan; Kuzgun, Cansu; Al-Khafaji, Mahdi; Bahjat, Noor Maiwan
Okra is a widely grown vegetable crop in various regions of the world and provides significant amounts of vitamins and minerals. Numerous researchers have documented the efficacy of phenotypic and molecular classification of the diverse okra germplasm collections found throughout the world. The genetic variation of Turkish okra germplasm, which included 39 genotypes, was characterized using 14 POGP (peroxidase gene polymorphism) primer pairs in comparison to other world okra genotypes and accessions, which contained 27 genotypes. A total of 84 bands were generated using 14 POGP primer pairs, with 43 (51%) of them being polymorphic between okra accessions. The values of polymorphism information content ranged from 0.03 to 0.99, with an average of 0.48. The range and mean values for gene diversity (h) were 0.03-0.42 and 0.25, respectively. Shannon's information index (I) varied between 0.07 and 0.62 for each POGP marker, with a mean of 0.40. The most divergent genotypes were found to have a GS value of 0.23, with IN-7 and TR20-3 being the genetically most distant. The STRUCTURE, PCoA and Neighbor-joining analysis separated the okra germplasm into three populations. AMOVA revealed 23 and 77% variance across and within populations, respectively. Although the germplasm of okra is generally homogenous, the influence of shared genes is more significant. For the first time, the genetic composition of okra was determined using peroxidase gene markers.