Dissecting the Genome-Wide Evolution and Function of R2R3-MYB Transcription Factor Family in Rosa chinensis

• Published in: Genes Vol. 10; no. 10; p. 823
• Main Authors: Han, Yu, Yu, Jiayao, Zhao, Tao, Cheng, Tangren, Wang, Jia, Yang, Weiru, Pan, Huitang, Zhang, Qixiang
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 18.10.2019; MDPI
• Subjects: Evolution, Molecular; Evolutionary genetics; Flowers; Flowers & plants; Gene families; Genes; Genome, Plant; Genomes; Metabolism; Metabolites; Multigene Family; MYB gene; Ornamental plants; Ovaries; Phylogenetics; Phylogeny; Plant Proteins - genetics; Plant Proteins - metabolism; Proteins; Rosa - classification; Rosa - genetics; Rosa chinensis; Synteny; Transcription factors; Transcription Factors - genetics; Transcription Factors - metabolism; Beijing China; United States > US; gene family evolution; R2R3-MYB; synteny network; phenylpropanoid pathway
• ISSN: 2073-4425; 2073-4425
• DOI: 10.3390/genes10100823

, an important ancestor species of , the most popular ornamental plant species worldwide, produces flowers with diverse colors and fragrances. The R2R3-MYB transcription factor family controls a wide variety of plant-specific metabolic processes, especially phenylpropanoid metabolism. Despite their importance for the ornamental value of flowers, the evolution of genes in plants has not been comprehensively characterized. In this study, 121 predicted gene sequences were identified in the rose genome. Additionally, a phylogenomic synteny network (synnet) was applied for the gene families in 35 complete plant genomes. We also analyzed the genes regarding their genomic locations, Ka/Ks ratio, encoded conserved motifs, and spatiotemporal expression. Our results indicated that have multiple synteny clusters. The gene was included in the Rosaceae-specific Cluster 54, with independent evolutionary patterns. On the basis of these results and an analysis of -overexpressing tobacco leaf samples, we predicted that functions in the phenylpropanoid pathway. We clarified the relationship between gene evolution and function from a new perspective. Our study data may be relevant for elucidating the regulation of floral metabolism in roses at the transcript level.