Transcriptome data assembly and gene function annotation of flowers and leaves of Ocimum basilicum / 中草药

ABSTRACT

Objective To understand the transcriptome data of flowers and leaves of Ocimum basilicum, and analyze the transcriptome sequencing and bioinforamtics of O. basilicum. Methods Selecting fresh flowers and leaves of O. basilicum as samples, the transcriptome libraries of O. basilicum were constructed using Illumina HiSeqTM 2500 sequencing technique and analyzed using the bioinformatics methods subsequently, such as sequencing assess, transcriptome data assembly, and gene function annotation. Results After transcriptome sequencing and removing insignificant reads, 86 331 137 reads of O. basilicum were obtained. All of the reads contained 6 455 365 309 nucleotides. After de novo splicing, 90 341 Unigenes were obtained. The Unigenes were aligned in COG database, and searching result demonstrated that UniGenes were devided into 25 classes according to function. The Unigene GO functions could be broadly divided into biological processes, cellular components and molecular function categories of 43 branches. In KEGG database, the data in transcriptome could be divided into 111 classes according to the metabolic pathway which included the biochemical pathway in plants-Pathogens interaction, terpenoid and steroid compounds synthesis, lipid metabolism, RNA degradation and so on. Totally 15 617 pairs of SSR primers were successful designed by MISA software, and 10 254 SNP loci were detected. Conclusion The results of this study can provide the further development of functional gene excavation, mentabolic pathways and their regulatory mechanism for O. basilicum with theatrical basis.