Blumeabalsamifera(L.)DC。,一种重要的经济和药用草药,作为传统中药有很长的历史。它的叶子一直被用作提取精油的原料,含有大量萜类化合物,对许多疾病都有很好的治疗效果,如湿疹,细菌感染,和高血压。然而,由于缺乏基因组数据,该植物中萜类生物合成的遗传基础几乎是未知的。这里,我们采用下一代测序(NGS)和全长转录组测序相结合的方法,在5个发育阶段鉴定参与萜类生物合成的基因.然后,使用GC-MS鉴定了香脂中精油的主要成分。总的来说,鉴定了16种单萜和20种倍半萜,并产生了333,860个CCS读数,产生65,045个非冗余转录本。在这些高度准确的转录物中,使用NR成功注释了59,958(92.18%)个转录本,eggNOG,Swissprot,KEGG,KOG,COG,普法姆,GO数据库最后,共有56个参与萜类生物合成的不同表达基因(DEGs)被鉴定,包括38个萜类骨架基因和18个TPS,这为B.balsamifera提供了大量的遗传信息。这些结果为资源保护奠定了基础,分子育种,和这种植物的代谢工程。
Blumea balsamifera (L.) DC., an important economic and medicinal herb, has a long history of being used as a traditional Chinese medicine. Its leaves have always been used as a raw material for the extraction of essential oils, comprising large amounts of terpenoids, which have good therapeutic effects on many diseases, such as eczema, bacterial infection, and hypertension. However, the genetic basis of terpenoid biosynthesis in this plant is virtually unknown on account of the lack of genomic data. Here, a combination of next-generation sequencing (NGS) and full-length transcriptome sequencing was applied to identify genes involved in terpenoid biosynthesis at five developmental stages. Then, the main components of essential oils in B. balsamifera were identified using GC-MS. Overall, 16 monoterpenoids and 20 sesquiterpenoids were identified and 333,860 CCS reads were generated, yielding 65,045 non-redundant transcripts. Among these highly accurate transcripts, 59,958 (92.18%) transcripts were successfully annotated using NR, eggNOG, Swissprot, KEGG, KOG, COG, Pfam, and GO databases. Finally, a total of 56 differently expressed genes (DEGs) involved in terpenoid biosynthesis were identified, including 38 terpenoid backbone genes and 18 TPSs, which provide a significant amount of genetic information for B. balsamifera. These results build a basis for resource protection, molecular breeding, and the metabolic engineering of this plant.