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Bulletin of Botanical Research ›› 2020, Vol. 40 ›› Issue (3): 458-467.doi: 10.7525/j.issn.1673-5102.2020.03.018

• Research Report • Previous Articles     Next Articles

Transcriptome Analysis for Medicinal Plant Anisodus tanguticus

ZHANG Yu1,2, XIA Ming-Ze1,2, ZHANG Fa-Qi1   

  1. 1. Key Laboratory of Adaptation and Evolution of Plateau Biota, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xi'ning 810001;
    2. College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100039
  • Received:2019-09-05 Online:2020-05-05 Published:2020-05-29
  • Supported by:
    Application basic research plan of Qinghai Province(2019-ZJ-7042);National Natural Science Foundation of China(31110103911)

Abstract: The transcriptome sequencing analysis of Anisodus tanguticus was carried out by high throughput sequencing technology to understand resource plant A.tanguticus deeply. The 71 463 Unigenes were obtained after processing. By comparing with several databases,we classified and analyzed the genes, and finally succeeded in annotating 47 624 genes. The 13 110 genes with 26 subclasses were annotated after comparing with KOG protein library.Compared with NR library, 39 621unigenes were annotated.The transcripts were compared with Swissprot and TrEMBL to obtain GO functional annotations. The 29 309 unigenes obtained from the annotations could be divided into three categories:molecular function, biological process, and cellular components, with 62 subcategories.Referring to the KEGG database, 3 679 genes were annotated. The metabolic pathways involved can be classified into four categories:metabolic related pathways, genetic information processing,cellular processes, and environmental information processing. Among them,metabolic related pathways are the most, accounting for about half of all metabolic pathways.Statistical results of metabolic pathways and related unigenes of the active ingredients of A.tanguticus showed that the number of metabolic pathways related to alkaloids was the most, and the number of unigenes corresponding to terpenoids and phenylpropanoids was the most.In addition, 31 382 SNP loci and 6 SSR repeat types were detected. Among them, single base repeat types accounted for the highest proportion, with 56.52 SSR repeats per million bases, accounting for 45.30%.These results enrich the transcriptome information of A.tanguticus and lay a foundation for the study of the molecular biology, which contribute to the further development and utilization of A.tanguticus.

Key words: Anisodus tanguticus, transcriptome, high throughput sequencing technology, gene annotation

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