目的 对越南安息香Styrax tonkinensis进行转录组测序，获得其根、茎和叶的转录组信息特征。方法 以越南安息香的根、茎和叶作为研究对象，使用Illumina HiSeq^TM2000进行越南安息香根、茎和叶的转录组测序分析。结果 转录组测序根、茎和叶共获得53 835 045条高质量序列（clean reads），Trinity de novo组装获得69 151条Unigenes，平均长度778.51 nt。BLAST分析表明分别有41 412（59.89%）、31 189（45.10%）、25 539（36.93%）、16 749（24.22%）个Unigenes在Nr、Swiss-port、KOG、KEGG数据库中得到注释，可归入GO分类的细胞组分、生物过程和分子功能3大类46分支，涉及129条KEGG标准代谢通路，其中有31个次生代谢标准通路。蛋白编码框序列3 461个，涉及高等植物转录因子54个家族。使用MISA软件挖掘10 974个简单重复序列（SSRs），二碱基重复SSRs数量最为丰富，有6282个（57.24%），五碱基重复SSRs最少，占2.45%。结论 利用高通量技术和生物信息分析获得了越南安息香根、茎和叶的转录组信息特征，为后期越南安息香基因功能鉴定、次生代谢途径解析及调控机制的研究奠定基础。

Objective To obtain the transcriptome information characteristics of roots, stems, and leaves by transcriptome sequencing of Styrax tonkinensis. Methods The roots, stems, and leaves of S. tonkinensis were selected as the research objects, and Illumina HiSeq^TM 2000 was used to carry out the transcriptome sequencing analysis of these roots, stems, and leaves. Results A total of 53 835 045 high-quality sequences (clean reads) were obtained from the roots, stems and leaves by transcriptome sequencing, and 69 151 Unigenes were assembled by Trinity de novo, with an average length of 778 nt. BLAST analysis showed that 41 412 (59.89%), 31 189 (45.10%), 25 539 (36.93%), and 16 749 (24.22%) Unigenes were annotated in the Nr, Swiss-port, KOG, and KEGG databases, respectively, which could be classified into 46 branches of cell components, biological processes and molecular functions of the three major classes in GO classification, involving 129 KEGG standard metabolic pathways, of which 31 had secondary metabolic pathways. There were 3 461 protein coding frame sequences, involving 54 families of higher plant transcription factors. MISA software was used to mine 10 974 simple repeat sequences (SSRs), in which the two-base repeat SSRs was the most abundant, with 6 282 (57.24%), and the five-base repeat SSRs were the least, accounting for 2.45%. Conclusion The transcriptome information characteristics of S. tonkinensis roots, stems, and leaves were obtained by high-throughput technology and bioinformatics analysis, which laid a foundation for the study of functional identification, secondary metabolic pathway analysis and regulation mechanism of S.tonkinensis.

R282.12

国家自然科学基金青年基金项目（81102764）；广东省教育厅重点提升平台建设项目—岭南中药资源教育部重点实验室（2014KTSPT016）