Polima cytoplasmic male sterility (pol CMS) has been widely used for exploiting heterosis in rapeseed breeding. The dominant restorer gene of pol CMS (Rfp) is found in the nucleus and is a key component of hybrid production by achieving F1 progeny with complete fertility restoration. To identify the molecular markers associated with the Rfp gene, a near isogenic line (NIL) population of 2,000 individuals segregating for the Rfp locus was generated by crossing and backcrossing for 12 times. This NIL population was used to screen Rfp markers by AFLP technique. Based on the sequence information of AFLP markers that have been identified in previous research, we identified a homologous region of Rfp locus in chromosome 1 of Arabidopsis. Then, six sequenced Brassica rapa BAC clones corresponding to this target region were chosen to design microsatellite (SSR) primer pairs. Twenty-two SSR markers were designed and one of them, KBrDP1, was verified in the 2, 000 NILs population and proved to be strongly linked to Rfp locus. The genetic distance between KBrDP1 and Rfp was 0.2 cM. KBrDP1 marker was found located on linkage group N9 of a published DH mapping population. This SSR marker was useful in marker assisted selection breeding of the elite pol CMS restorer lines in rapeseed.
Background: Hepatocellular carcinoma (HCC) is heterogeneous disease occurring in the background of chronic liver diseases. The role of glycosyltransferase (GT) genes have recently been the focus of research associating with the development of tumors. However, the prognostic value of GT genes in HCC remains not elucidated. This study aimed to demonstrate the GT genes related to the prognosis of HCC through bioinformatics analysis.Methods: The GT genes signatures were identified from the training set of The Cancer Genome Atlas (TCGA) dataset using univariate and the least absolute shrinkage and selection operator (LASSO) Cox regression analyses. Then, we analyzed the prognostic value of GT genes signatures related to the overall survival (OS) of HCC patients. A prognostic model was constructed, and the risk score of each patient was calculated as formula, which divided HCC patients into high- and low-risk groups. Kaplan-Meier (K-M) and Receiver operating characteristic (ROC) curves were used to assess the OS of HCC patients. The prognostic value of GT genes signatures was further investigated in the validation set of TCGA database. Univariate and multivariate Cox regression analyses were performed to demonstrate the independent factors on OS. Finally, we utilized the gene set enrichment analysis (GSEA) to annotate the function of these genes between the two risk categories. Results: In this study, we identified and validated 4 GT genes as the prognostic signatures. The K-M analysis showed that the survival rate of the high-risk patients was significantly lower than that of the low-risk patients. The risk score calculated with 4 gene signatures could predict OS for 3-, 5-, and 7-year in patients with HCC, revealing the prognostic ability of these gene signature. In addition, Multivariate Cox regression analyses indicated that the risk score was an independent prognostic factor for HCC. Functional analysis further revealed that immune-related pathways were enriched, and immune status in HCC were different between the two risk groups.Conclusion: In conclusion, a novel GT genes signature can be used for prognostic prediction in HCC. Thus, targeting GT genes may be a therapeutic alternative for HCC.
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