Genetic diversity among the Turkish common bean cultivars (Phaseolus vulgaris L.) as assessed by SRAP,POGP and cpSSR markers |
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| Affiliation: | 1. Departamento de Farmacología, Facultad de Medicina, C. Escolar, C. Universitaria, Coyoacán, 04510 Mexico, D. F, Mexico;2. Instituto de Química, C. Exterior, C. Universitaria, Coyoacán, 04510 Mexico, D. F, Mexico;1. State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, Guangxi University, Nanning 530004, PR China;2. Key Laboratory of Marine Ecological Restoration, Shan Dong Marine Resource and, Environment Research Institute, Yantai 264006, PR China;1. Key Laboratory of Mariculture, Ministry of Education, Ocean University of China, Qingdao 266003, China;2. College of Fisheries and Life Science, Dalian Ocean University, Dalian 116023, China;1. Rzhanov Institute of Semiconductor Physics, Siberian Branch of the Russian Academy of Sciences, 13 Lavrentjeva aven., 630090 Novosibirsk, Russia;2. National Research Tomsk State University, 36, Lenina aven., Tomsk 634050, Russia |
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| Abstract: | The genetic diversity among the Turkish cultivars of common bean (Phaseolus vulgaris L.) was estimated by studying the Sequence Related Amplified Polymorphism (SRAP), Peroxidase Gene Polymorhism (POGP), and Chloroplast Simple Sequence Repeats (cpSSR) markers. The unweighted pair group method arithmetic average (UPGMA) and Neighbor joining (NJ) algorithm resulted in a dendrogram representing the genetic relationship among major common bean cultivars grown in Turkey. The dendrogram generated two groups possibly representing two different major gene pools. By using three different marker systems, 194 alleles were detected and 118 were found to be polymorphic. For SRAP, POGP and cpSSR, 64, 64 and 26% polymorphism ratio were obtained, respectively. Principal Component Analysis (PCA) was also carried out to determine genetic variation among common bean genotypes and three different groups were generated. The individuals were placed into three different populations in structure analysis. Three populations created in structure analysis were exactly corresponded to the three groups in PCA. Analysis of Molecular Variance (AMOVA) was used to partition the genetic variations. The percentage of the variance was approximately 59%, 3%, and 38% among groups, among populations within groups and, within populations, respectively. The percentages of variation were found to be significantly high within the populations and among the groups. |
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| Keywords: | Genetic diversity cpSSR POGP SRAP |
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