RÉSUMÉ
Objective: To compare the expression of genes in the leaves of Tussilago farfara that involved in biosynthesis of phenylpropanoids in different developmental stages, and infer the accumulation period of biosynthesis of phenylpropanoids and provide a scientific basis for the resource utilization of leaves of T. farfara. Methods: The Illumina HiSeq2500 highthroughput sequencing method was used to analyze the transcriptome of the leaves of T. farfara in different periods. After obtaining transcriptome data, bioinformatics analysis of gene function annotation was performed to compare the expression of genes related to phenylpropanoid biosynthesis in different periods. Results: A total of 46 793 unigenes were obtained by transcriptome sequencing and the average length was 952.144 8 bp. Among them, 4 774 unigenes were annotated in the public databases NR, Swiss-Prot, eggNOG, GO, and KEGG. According to the assignment of KEGG pathway, 144 unigenes were involved in terpenoid biosynthesis, phenylpropanoid biosynthesis and flavonoids, 65 unigenes were involved in terpenoid biosynthesis, 64 unigenes were involved in phenylpropanoid and 15 unigenes were involved in flavonoids biosynthesis. The enzyme genes involved in the phenylpropanoid biosynthesis were also compared in different development stages, and the results indicated that the expression of PAL, 4CL, HCT, and CCoAOMT, which were closely related to biosynthesis of phenylpropanoids, were highest in September, which means that the contents of these compounds might be highest in September. Conclusion: This study lays the foundation for the biosynthetic pathway and regulation analysis of phenylpropanoids, and provides a scientific basis for the development and the resource utilization of leaves of T. farfara.
RÉSUMÉ
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.