Comparative mapping of quantitative trait loci sculpting the curd of Brassica oleracea.

Broccoli and cauliflower inflorescences (cards) not only provide popular vegetables for human consumption but also provide unique opportunities for scientists seeking to understand the genetic basis of plant growth and development To do. By comparing quantitative trait loci (QTL) maps constructed from three different F (2) populations a total of 86 QTLs controlling cabbage's eight card-related traits were identified. The QTL of 86 may reflect allelic variation of 67 different loci and 54 ancestral genes. Although QTL affecting the trait occasionally occurs between different populations or between different homologous Brassica chromosomes, our data supports other molecular and morphological data, and Brassica species evolve rapidly It shows that it is. The comparison data allowed us to identify a large number of candidate genes from Arabidopsis requiring further work to determine why some of these genes are the genus QTL. The Arabidopsis thaliana / Brassica system is an important example of the challenges and opportunities associated with extrapolation of genomic information from lightweight models to large genome taxonomic groups (including major crops).

Abstract Quantitative trait loci (QTL), which affect leaf and stem size in three F2 populations of Brassica napus L., were detected by restriction fragment length polymorphism (RFLP). These populations were derived from rapid cycling genera and three cabbage varieties. Hybrid, others - Psakatoki and Bug Kana. Morphological features such as leaf length, leaf width, petiole length, stem length, stem width and number of nodes were evaluated. Based on the LOD threshold of 5, a total of 47 QTLs were detected. By comparing mappings we have found that 47 QTLs can reflect only 35 different loci and 28 ancestral gene variants. For leaf length traits, we identified QTLs corresponding to five ancestral genes mapped close to the positions corresponding to the five known Arabidopsis plants rev, axr 1, axr 3, axr 4 and as 2. Possibility of extrapolation of genetic information to other crops using Arabidopsis thaliana / canola as a model was studied

Quantitative trait loci (QTL) localization refers to a statistical method used to locate and identify loci affecting quantitative traits (QTL). The basic logic of QTL mapping is very simple, but related algebraic and numerical methods are often quite complex and computationally intensive. All methods are based on the following basic principles. Families with similar characteristic values ​​should have higher QTL than expected (due to linkage) affecting the level of common genetic material of these characteristics. Conversely, at loci unrelated to QTL that affect traits, the extent of genetic sharing should be determined by the degree of association (genetic covariance), and the covariance between traits among these individuals It should not be relevant (Figure 19).