tailieunhanh - Diversity and genetic analysis through DArTseq in common bean (Phaseolus vulgaris L.) germplasm from Turkey

The common bean (Phaseolus vulgaris L.) is the most consumed food legume in the world and is a major source of dietary protein, carbohydrates, and valuable micronutrients, especially in developing countries. | Turkish Journal of Agriculture and Forestry Research Article Turk J Agric For (2017) 41: 389-404 © TÜBİTAK doi: Diversity and genetic analysis through DArTseq in common bean (Phaseolus vulgaris L.) germplasm from Turkey 1 2 3 2 3, Seda NEMLİ , Tansel KAYGISIZ AŞÇIOĞUL , Duygu ATEŞ , Dursun EŞİYOK , Muhammed Bahattin TANYOLAÇ * Department of Genetics and Bioengineering, Faculty of Engineering and Natural Sciences, Gümüşhane University, Gümüşhane, Turkey 2 Department of Horticulture, Faculty of Agriculture, Ege University, Bornova, İzmir, Turkey 3 Department of Bioengineering, Faculty of Engineering, Ege University, Bornova, İzmir, Turkey 1 Received: Accepted/Published Online: Final Version: Abstract: The common bean (Phaseolus vulgaris L.) is the most consumed food legume in the world and is a major source of dietary protein, carbohydrates, and valuable micronutrients, especially in developing countries. Diversity Arrays Technology (DArTseq), based on genome reduction with restriction enzymes, provides a rapid, high-throughput, and cost-effective tool capable of generating thousands of genotyped single nucleotide polymorphisms (SNPs) for a genome-wide analysis of genetic diversity. In this study, we aimed to characterize common bean accessions using SNPs detected by a DArTseq approach. A total of 43,018 SNPs were identified from 173 common bean accessions, including Andean and Mesoamerican genotypes. After filtering raw and redundant data, a total of 16,366 SNPs were considered for further analyses. According to population structure analysis, the genotypes were roughly divided into 2 gene pools of Andean and Mesoamerican types. Pairwise fixation index (Fst) values were calculated to resolve the differentiation between populations. This study demonstrated that discovering SNPs from the whole genome is a potential resource for identifying naturally diverse .