Creation of gene pools with amplified fragment length polymorphis markers for development of winter oilseed rape (Brassica napus L.) hybrid cultivars

Abstract

The genetic diversity of two winter oilseed rape (Brassica napus L.) collections was investigated using amplified fragment length polymorphism marker technology. The first collection of 78 genotypes was analyzed using 11 primer-enzyme combinations and PCR products were resolved by 13.35% denaturing polyacrylamide gels. The second collection was investigated using seven fluorescent-labeled AFLP primer combinations and PCR products were separated using capillary electrophoresis. A total of 262 polymorphic AFLP markers were obtained for the first collection and 423 polymorphic markers for the second. On the basis of all markers, principal component analysis was performed for both collections separately. The unweighted pair group method with arithmetic method based on the coefficient of dissimilarity separated the genotypes in collection 1 into two clusters and those in the second collection into three distinct clusters. Resynthesized lines formed a cluster that was clearly distinct from 42 winter oilseed rape parental lines in the cytoplasmic male sterility ogura system. Analysis of molecular variance showed that 79% and 81% of the detected variation was found to be within the groups (in the two collections, respectively), while the variation between groups contributed, respectively, to only 21% and 19% of the variance. Our results indicate that AFLP technology can be useful for the creation of a gene pool of parental components of winter oilseed rape hybrid cultivars. Additionally, de novo resynthesized Brassica napus lines provide a significant opportunity for enrichment of the gene pool of winter rapeseed.

Analysis of Genetic Diversity in Maize (Zea mays L.) Variety Using SSR Markers

“…Primers ssr-06 and ssr-08 were found to be the most suitable for testing genetic diversity. Genetic distance measures the degree of relatedness between individuals within a particular population [18][19]. According to Bocianowski's paper [20], SSR markers that are important for quantitative traits are likely to be associated with QTLs that determined those traits.…”

Identification of Associations between SSR Markers and Quantitative Traits of Maize (Zea mays L.)

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