De novo transcriptome sequencing of Camellia sasanqua and the analysis of major candidate genes related to floral traits

Plant Physiol Biochem. 2017 Nov:120:103-111. doi: 10.1016/j.plaphy.2017.08.028. Epub 2017 Sep 1.

Abstract

Camellia sasanqua is one of the most famous horticultural plants in Camellia (Theaceae) due to its aesthetic appeal as landscape plant. Knowledge regarding the genetic basis of flowering time, floral aroma and color in C. sasanqua is limited, but is essential to breed new varieties with desired floral traits. Here, we described the de novo transcriptome of young leaves, flower buds and flowers of C. sasanqua. A total of 60,127 unigenes were functionally annotated based on the sequence similarity. After analysis, we found that two floral integrator genes, SOC1 and AP1, in flowering time pathway showed evidence of gene family expansion. Compared with 1-deoxy-D-xylulose-5-phosphate pathway, some genes in the mevalonate pathway were most highly expressed, suggesting that this might represent the major pathway for terpenoid biosynthesis related to floral aroma in C. sasanqua. In flavonoid biosynthesis pathway, PAL, CHI, DFR and ANS showing significantly higher expression levels in flowers and flower buds might have important role in regulation of floral color. The top five most transcription factors (TFs) families in C. sasanqua transcriptome were MYB, MIKC, C3H, FAR1 and HD-ZIP, many of which have a direct relationship with floral traits. In addition, we also identified 33,540 simple sequence repeats (SSRs) in the C. sasanqua transcriptome. Collectively, the C. sasanqua transcriptome dataset generated from this study along with the SSR markers provide a new resource for the identification of novel regulatory transcripts and will accelerate the genetic improvement of C. sasanqua breeding programs.

Keywords: Camellia sasanqua; Floral traits; Signal pathways; Simple sequence repeats; Transcriptome sequencing.

MeSH terms

  • Camellia* / genetics
  • Camellia* / metabolism
  • Databases, Genetic*
  • Flowers* / genetics
  • Flowers* / metabolism
  • Genes, Plant*
  • High-Throughput Nucleotide Sequencing*
  • Quantitative Trait, Heritable*
  • Transcriptome / physiology*