ABSTRACT
Objective To obtain the transcriptome dataset of rhizome of Souliea vaginata Methods Using the high-throughput illumina sequencing platform Illumina HiSeqTM 2000 150PE, a rhizome transcriptome dataset of S. vaginata was obtained, followed by systemic bioinformatics analyses. Results The transcriptome sequencing analyses produced to a great number of 63 322 086 high quality clean reads. Trinity de novo assembling resulted in a total of 52 575 unigenes with an average length of 909 nt. BLAST analysis indicated that 28 842 (accounting for 54.86% of the total unigenes), 10 712 (20.37%), 9 245 (17.58%), and 11 559 (21.99%) unigenes were successfully annotated in the NR, Swiss-port, KOG, and KEGG databases, respectively. GO classification contained the basic three major groups, including biological process, cellular component, and molecular function, and 45 subgroups. Among them126 KEGG standard pathways were designated, of which 17 were defied as the secondary metabolism. Of all unigenes, 2 215 with protein coding sequences were predicted, and 55 families of plant transcription factors were also identified. MISA prediction yielded a number of 4 609 simple sequence repeats (SSRs), among which the tri-nucleotide SSRs were abundant with 2 106 (45.7%), whereas the penta-nucleotide SSRs were relatively less, accounting for 2.9%. Conclusion The transcriptomic characteristics of S.vaginata rhizome were revealed by the high-throughput Illumina sequencing technology along with bioinformatics analyses, which would be of great importance for the functional gene characterization, secondary metabolism pathway dissections, and their regulatory mechanisms in S. vaginata.