Fig 1.
The Rafflesia cantleyi flower collected from Lata Jarum, Pahang, Malaysia.
Table 1.
Statistical summary of Rafflesia cantleyi sequence data.
Table 2.
Comparison of de novo assembly data using Oases, Trinity and CLC Genomics Workbench.
Fig 2.
Length distribution of Rafflesia cantleyi flower transcripts obtained from de novo assembly.
Fig 3.
Species distribution of annotated Rafflesia cantleyi flower transcripts.
Fig 4.
GO annotation of Rafflesia cantleyi flower transcripts.
Fig 5.
KOG functional classification of Rafflesia cantleyi flower transcripts.
Table 3.
The pathways and products involved in plant hormone signal transduction.
Fig 6.
Top KEGG pathways represented in the Rafflesia cantleyi flower transcriptome.
Fig 7.
Transcription factor families identified in the Rafflesia cantleyi flower transcriptome.
Table 4.
Distribution of transcripts according to the levels of abundance.
Fig 8.
RT-qPCR validation of transcript abundance from RNA-seq analysis.
(A) Relative expression of eight genes based on actin as the reference housekeeping gene. Y-axis is shown in log base 2 scale for clearer representation of genes with low expression values. (B) Correlation analysis of relative gene expression values from RT-qPCR and RNA-seq analysis. Genes studied include adenosylhomocysteinase (AHCY), chitinase (CHI), ethylene responsive transcription factor (ERF), MYB transcription factor (MYB), selenium binding protein (SBP), thaumatin-like protein (TLP), glutamate dehydrogenase (GDH) and sucrose synthase (SUS). The relative expression for RT-qPCR was calculated by using the 2-ΔCt method based on the reference gene, actin; whereas the relative expression values for RNA-seq are FPKM ratios of individual genes relative to that of actin.
Fig 9.
Heat map of selected genes that are differentially expressed between the developing flower and the floral bud of Rafflesia cantleyi.