Table 1.
Assembly statistics for Trinity RR-TIG.
Fig 1.
Gene Ontology assignments for RR-TIG transcriptome.
The results are summarized in terms of three functional categories: cellular component, molecular function and biological process. The GO terms were visualized using WEGO (http://wego.genomics.org.cn).
Table 2.
The 30 most representative GO terms revealed by the InterProScan annotation.
Fig 2.
Top 20 identified KEGG pathways.
The top 20 distribution of categorization of basil transcripts to KEGG biochemical pathways.
Fig 3.
Validation of RNA-Seq data by qRT-PCR.
Comparison of expression level of nine DEGs between RNA-Seq data and qRT-PCR assay. PCR primers and unigene IDs are listed in S7 Table.
Fig 4.
Enriched GO terms for RR-TIG DGEs.
The bar chart shows for each significant GO termthe amount (percentage) of annotated transcripts Blue bars correspond to the sequences of the test-set and red bars correspond to the reference transcriptome dataset.
Fig 5.
MapMan-based visualization of the DEGs involved in “secondary metabolism”.
In the display, each BIN or subBIN is represented as a block where each transcript is displayed as a square, which is either colored red if this transcript is up-regulated in RR or green if this transcript is up-regulated in TIG.
Table 3.
DEGs identified by comparing RR and TIG basil varieties.
Fig 6.
KEGG map of the DEGs involved in the flavonoid biosynthesis for the sweet basil leaf.
Red boxes indicate overexpression in purple basil and green boxes overexpression in green basil.