Transcriptomic Analysis of Flower Blooming in Jasminum sambac through De Novo RNA Sequencing

Molecules. 2015 Jun 10;20(6):10734-47. doi: 10.3390/molecules200610734.

Abstract

Flower blooming is a critical and complicated plant developmental process in flowering plants. However, insufficient information is available about the complex network that regulates flower blooming in Jasminum sambac. In this study, we used the RNA-Seq platform to analyze the molecular regulation of flower blooming in J. sambac by comparing the transcript profiles at two flower developmental stages: budding and blooming. A total of 4577 differentially-expressed genes (DEGs) were identified between the two floral stages. The Gene Ontology and the Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses revealed that the DEGs in the "oxidation-reduction process", "extracellular region", "steroid biosynthesis", "glycosphingolipid biosynthesis", "plant hormone signal transduction" and "pentose and glucuronate interconversions" might be associated with flower development. A total of 103 and 92 unigenes exhibited sequence similarities to the known flower development and floral scent genes from other plants. Among these unigenes, five flower development and 19 floral scent unigenes exhibited at least four-fold differences in expression between the two stages. Our results provide abundant genetic resources for studying the flower blooming mechanisms and molecular breeding of J. sambac.

Keywords: Jasminum sambac; RNA sequencing; flower blooming; transcriptome.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Computational Biology
  • Flowers / genetics*
  • Gene Expression Profiling*
  • Gene Expression Regulation, Plant
  • Jasminum / genetics*
  • Molecular Sequence Annotation
  • Phenotype
  • Sequence Analysis, RNA
  • Transcriptome*