The orthologs of candidate genes in QTL regions and their annotation in Arabidopsis were obtained from the result of BLASTn based on gene sequence. Some genes related to seed weight from papers and some searched from Arabidopsis database (https://www.arabidopsis.org/index.jsp) using key words “seed weight”, “seed size”, “cell number” and “endosperm growth”. Homologues were clustered and analyzed using the Database for Annotation Visualization and Integrated Discovery (DAVID) tool, an online software [69] (http://david.abcc.ncifcrf.gov/tools.jsp). DAVID provides a comprehensive set of functional annotation tools for investigators to understand biological meaning behind large list of genes. The p-values were computed by a modified Fisher's exact
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thaliana. by marker sequences from important B. napus QTL for seed weight, along with comparative mapping data, we were able to navigate to potential orthologous genome regions in A. thaliana. this helps us to identify 29 promising candidate genes with supposed physical linkage to homologous Brassica genome regions involved in seed weight. Our results suggest the following 9014 homologous genes were mapped in the CIs of 47 QTLs. A large number of important genes were found to be candidate genes for seed weight. It is interesting to notice that some genes showing major effects on seed size/weight in Arabidopsis, such as ISE2/EMB25, MINI3, IKU1, IKU2, TTG2 and KLU. For example KLU expression in a growth signal that moves throughout the inner and outer, where it stimulates cell proliferation. The cell number in the integuments of the mature ovule. As the embryo develops, the seed coat acts as a physical constraint on the embryo grows, thus ultimately providing an upper limit to the final seed size [75]. While among candidate genes, there was only one gene, ISE2/EMB25 was identified in the major QTLs (TSWA7-4) regulate embryonic development, suggesting that the QTLs may represent determinants for seed weight in amphidiploid B. napus. Of course, even though potential candidate genes are mapped to a locus, this does not imply that they control the trait. The QTL may result from variation in other novel genes which have not been studied in model systems. The Variation in seed size is common within and among plant species. Underlying this variation, and thus regulation of seed size, is a complex array of interactions involving genetic factors, developmental signals, and environmental cues. Seed weight is also affected by many biological/developmental processes, including tissue
thaliana. by marker sequences from important B. napus QTL for seed weight, along with comparative mapping data, we were able to navigate to potential orthologous genome regions in A. thaliana. this helps us to identify 29 promising candidate genes with supposed physical linkage to homologous Brassica genome regions involved in seed weight. Our results suggest the following 9014 homologous genes were mapped in the CIs of 47 QTLs. A large number of important genes were found to be candidate genes for seed weight. It is interesting to notice that some genes showing major effects on seed size/weight in Arabidopsis, such as ISE2/EMB25, MINI3, IKU1, IKU2, TTG2 and KLU. For example KLU expression in a growth signal that moves throughout the inner and outer, where it stimulates cell proliferation. The cell number in the integuments of the mature ovule. As the embryo develops, the seed coat acts as a physical constraint on the embryo grows, thus ultimately providing an upper limit to the final seed size [75]. While among candidate genes, there was only one gene, ISE2/EMB25 was identified in the major QTLs (TSWA7-4) regulate embryonic development, suggesting that the QTLs may represent determinants for seed weight in amphidiploid B. napus. Of course, even though potential candidate genes are mapped to a locus, this does not imply that they control the trait. The QTL may result from variation in other novel genes which have not been studied in model systems. The Variation in seed size is common within and among plant species. Underlying this variation, and thus regulation of seed size, is a complex array of interactions involving genetic factors, developmental signals, and environmental cues. Seed weight is also affected by many biological/developmental processes, including tissue