Abstract

The root of Angelica sinensis is known throughout Asia for its traditional efficacy in invigorating and promoting blood circulation. The wild germplasm resources of A. sinensis was in short supply, and most of the commercial medicinal materials come from cultivation. To obtain the differences in the transcriptional levels of wild and cultivated of A. sinensis, the full-length transcriptome of A. sinensis was analyzed using PacBio SMRT three-generation high-throughput sequencing technology. Using the high-throughput sequencing platform Illumina HiSeq X Ten PE150, a root transcriptome dataset of wild and cultivated A.sinensis was obtained. The transcriptome sequencing analyses obtained 16.5 Gb database in wild and cultivated A.sinensis, after assembly steps, we obtain 113 906 transcript sequences(insfroms) with an average length of 1 466 nt. BLAST analysis indicated that 109 113(accounting for 95.79% of the total insfroms), 93 276(81.89%),60 638(53.24%),48 928(42.95%),42 876(37.64%)isofroms were successfully annotated in the NR, Swiss-port, GO, KO and KOG databases, respectively. The annotation information can be classified into three categories of biological processes, cellular components and molecular functions of GO classification, involving 128 KEGG standard metabolic pathways. Analysis of 25 463 differential insfroms, 15 090 higher expression in wild A. sinensis, and 10 373 higher in cultivated A. sinensis. In the enrichment analysis of GO and KEGG, differential insfroms were concentrated on the pathway of plant-pathogen interaction, MAPK signaling pathway-plant and plant hormone signal transduction. In this study, high-throughput sequencing was used to obtain the full-length transcription information of A. sinensis, and the overall characteristics of A. sinensis genetic information were clarified. By comparing the differential expression of wild and cultivated A. sinensis at the genetic level, it provides basic information for further screening and breeding of A. sinensis germplasm resources, resistance research and secondary metabolic pathway analysis.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.