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      Genome-wide analysis and expression profiling of the GRF gene family in oilseed rape (Brassica napus L.).

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          Abstract

          Growth regulating-factors (GRFs) are plant-specific transcription factors that help regulate plant growth and development. Genome-wide identification and evolutionary analyses of GRF gene families have been performed in Arabidopsis thaliana, Zea mays, Oryza sativa, and Brassica rapa, but a comprehensive analysis of the GRF gene family in oilseed rape (Brassica napus) has not yet been reported. In the current study, we identified 35 members of the BnGRF family in B. napus. We analyzed the chromosomal distribution, phylogenetic relationships (Bayesian Inference and Neighbor Joining method), gene structures, and motifs of the BnGRF family members, as well as the cis-acting regulatory elements in their promoters. We also analyzed the expression patterns of 15 randomly selected BnGRF genes in various tissues and in plant varieties with different harvest indices and gibberellic acid (GA) responses. The expression levels of BnGRFs under GA treatment suggested the presence of possible negative feedback regulation. The evolutionary patterns and expression profiles of BnGRFs uncovered in this study increase our understanding of the important roles played by these genes in oilseed rape.

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          Author and article information

          Journal
          Gene
          Gene
          Elsevier BV
          1879-0038
          0378-1119
          Jul 15 2017
          : 620
          Affiliations
          [1 ] College of Agronomy and Biotechnology, Southwest University, Chongqing, China.
          [2 ] College of Agronomy and Biotechnology, Southwest University, Chongqing, China. Electronic address: ljn1950@swu.edu.cn.
          Article
          S0378-1119(17)30208-1
          10.1016/j.gene.2017.03.030
          28363779
          2d182167-52f5-46ab-ab25-07ba019e0e2f
          History

          Brassica napus,Expression analysis,GA response,GRF
          Brassica napus, Expression analysis, GA response, GRF

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