Molecular markers in management of ex situ PGR - A case study

Journal of biosciences

Sabina Chebotar⁴  Borislav Kobiljski¹  Marion S Röder³  Ulrike Lohwasser³  Manuela Nagel³  Andreas Börner1³  Mian Abdur Rehman Arif³  Elena K Khlestkina²  Kerstin Neumann³ 

[1] Institute of Field and Vegetable Crops, Maksima Gorkog 30, 21000 Novi Sad, Serbia$$;Institute of Cytology and Genetics (ICG), Siberian Branch of the Russian Academy of Sciences, Lavrentjeva Ave. 10, Novosibirsk 630090, Russian Federation$$;Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstrasse 3 06466 Gatersleben, Germany$$;South Plant Biotechnology Center, Ovidiopolskaya dor. 3, 65036 Odessa, Ukraine$$

关键词: Association mapping;    ex situ germplasm collections;    genetic diversity;    genetic integrity;    molecular tools;    seed longevity;   

DOI  :  

来源: Indian Academy of Sciences

【 摘 要 】

Worldwide germplasm collections contain about 7.4 million accessions of plant genetic resources for food and agriculture. One of the 10 largest ex situ genebanks of our globe is located at the Leibniz Institute of Plant Genetics and Crop Plant Research in Gatersleben, Germany. Molecular tools have been used for various gene bank management practices including characterization and utilization of the germplasm. The results on genetic integrity of longterm-stored gene bank accessions of wheat (self-pollinating) and rye (open-pollinating) cereal crops revealed a high degree of identity for wheat. In contrast, the out-pollinating accessions of rye exhibited shifts in allele frequencies. The genetic diversity of wheat and barley germplasm collected at intervals of 40 to 50 years in comparable geographical regions showed qualitative rather than a quantitative change in diversity. The inter- and intraspecific variation of seed longevity was analysed and differences were detected. Genetic studies in barley, wheat and oilseed rape revealed numerous QTL, indicating the complex and quantitative nature of seed longevity. Some of the loci identified were in genomic regions that co-localize with genes determining agronomic traits such as spike architecture or biotic and abiotic stress response. Finally, a genome-wide association mapping analysis of a core collection of wheat for flowering time was performed using diversity array technology (DArT) markers. Maker trait associations were detected in genomic regions where major genes or QTL have been described earlier. In addition, new loci were also detected, providing opportunities to monitor genetic variation for crop improvement.

【 授权许可】

Unknown