Transcriptomics Analysis of Artemisia rubripes Nakai

Objective The transcriptome information characteristics of Artemisia rubripes Nakai were analyzed by high-throughput sequencing technology.

Method The transcriptome of A. rubripes Nakai was sequenced by Illumina HiSeq 2500, and Unigene was assembled by Trinity software de novo. The function of Unigene w as annotated based on sequence homology, and the genetic information of A. rubripes Nakai transcriptome was obtained.

Result After quality control of sequencing data, a total of 24 126 043 high quality reads were obtained, and 173 093 transcripts were obtained through de novo assembly. A total of 85 991 Unigene were obtained after redundance removing of the assembled transcripts. The N50 length was 925 bp, with an average length of 616.87 bp. 47 216 Unigenes were annotated in NR, KEGG, COG, KOG and GO databases. Among them, 40 802 Unigenes were annotated in NR, the results showed that the single gene matching rate between A. rubripes Nakai and Helianthus annuus was the highest, 16 846 Unigenes were annotated in the KEGG database, involving 130 metabolic pathways, 26171 Unigenes were annotated into 25 functional categories of KOG database, 23 203 Unigenes were annotated in GO database, which were divided into 51 functional categories of biological processes, cellular components and molecular functions, and 12 810 Unigenes were annotated in 25 KOG functional categories.

Conclusion The transcriptome information characteristics of A. rubripes Nakai were obtained by high-throughput sequencing technology. These data will lay a foundation for the identification of functional genes and the analysis secondary metabolism pathway and its regulatory mechanism.