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Transcriptome and digital gene expression analysis unravels the novel mechanism of early flowering in Angelica sinensis.
Sci Rep. 2019 07 11; 9(1):10035.SR

Abstract

Angelica sinensis (Oliv.) Diels is a widely used medicinal plant mainly originated in Gansu, China. Angelica sinensis is greatly demanded in the clinical practice of Chinese medicine due to its broad pharmacological activities of hematopoietic and anti-inflammatory properties. But, the percentage of early flowering in Angelica sinensis arrives to 20%~30%, which severely affects its quality and quantity. Here, transcriptome profiling and digital gene expression analysis were applied to study the mechanism of early flowering in Angelica sinensis. A total of 49,183,534 clean reads were obtained and assembled into 68,262 unigenes, and 49,477 unigenes (72.5%) could be annotated to a minimum of one database in the Nr, Nt, Swiss-Pro, GO, COG and KEGG. Taking the above transcriptome data as a reference, digital gene expression result showed that 5,094 genes expression level were significant changed during early flowering. These annotated genes offered much information promoting that the biosynthesis of secondary metabolites pathway, the hormone signal transduction pathway, and the transcription regulation system may be closely related to the early flowering phenomenon of Angelica sinensis. Further expression patterns of key genes contribute to early flowering were analyzed using quantitative real-time PCR. The transcriptome result offered important gene expression information about early flowering in Angelica sinensis.

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Authors+Show Affiliations

Yu G
School of Medicine and Life Sciences, Nanjing University of Chinese Medicine, Nanjing, China. yuguang928@126.com. Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, Nanjing University of Chinese Medicine, Nanjing, China. yuguang928@126.com.
Zhou Y
School of Medicine and Life Sciences, Nanjing University of Chinese Medicine, Nanjing, China.
Yu J
School of Medicine and Life Sciences, Nanjing University of Chinese Medicine, Nanjing, China.
Hu X
School of Medicine and Life Sciences, Nanjing University of Chinese Medicine, Nanjing, China.
Tang Y
School of Medicine and Life Sciences, Nanjing University of Chinese Medicine, Nanjing, China.
Yan H
Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, Nanjing University of Chinese Medicine, Nanjing, China.
Duan J
Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, Nanjing University of Chinese Medicine, Nanjing, China. dja@njucm.edu.cn.

MeSH

Angelica sinensisChinaDrugs, Chinese HerbalFlowersGene Expression ProfilingGene Expression Regulation, PlantGenome, PlantHigh-Throughput Nucleotide SequencingMolecular Sequence AnnotationReal-Time Polymerase Chain ReactionSecondary MetabolismTranscriptome

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

31296928

Citation

Yu, Guang, et al. "Transcriptome and Digital Gene Expression Analysis Unravels the Novel Mechanism of Early Flowering in Angelica Sinensis." Scientific Reports, vol. 9, no. 1, 2019, p. 10035.
Yu G, Zhou Y, Yu J, et al. Transcriptome and digital gene expression analysis unravels the novel mechanism of early flowering in Angelica sinensis. Sci Rep. 2019;9(1):10035.
Yu, G., Zhou, Y., Yu, J., Hu, X., Tang, Y., Yan, H., & Duan, J. (2019). Transcriptome and digital gene expression analysis unravels the novel mechanism of early flowering in Angelica sinensis. Scientific Reports, 9(1), 10035. https://doi.org/10.1038/s41598-019-46414-2
Yu G, et al. Transcriptome and Digital Gene Expression Analysis Unravels the Novel Mechanism of Early Flowering in Angelica Sinensis. Sci Rep. 2019 07 11;9(1):10035. PubMed PMID: 31296928.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Transcriptome and digital gene expression analysis unravels the novel mechanism of early flowering in Angelica sinensis. AU - Yu,Guang, AU - Zhou,Yuan, AU - Yu,Juanjuan, AU - Hu,Xueqin, AU - Tang,Ye, AU - Yan,Hui, AU - Duan,Jinao, Y1 - 2019/07/11/ PY - 2017/11/23/received PY - 2019/06/21/accepted PY - 2019/7/13/entrez PY - 2019/7/13/pubmed PY - 2020/10/22/medline SP - 10035 EP - 10035 JF - Scientific reports JO - Sci Rep VL - 9 IS - 1 N2 - Angelica sinensis (Oliv.) Diels is a widely used medicinal plant mainly originated in Gansu, China. Angelica sinensis is greatly demanded in the clinical practice of Chinese medicine due to its broad pharmacological activities of hematopoietic and anti-inflammatory properties. But, the percentage of early flowering in Angelica sinensis arrives to 20%~30%, which severely affects its quality and quantity. Here, transcriptome profiling and digital gene expression analysis were applied to study the mechanism of early flowering in Angelica sinensis. A total of 49,183,534 clean reads were obtained and assembled into 68,262 unigenes, and 49,477 unigenes (72.5%) could be annotated to a minimum of one database in the Nr, Nt, Swiss-Pro, GO, COG and KEGG. Taking the above transcriptome data as a reference, digital gene expression result showed that 5,094 genes expression level were significant changed during early flowering. These annotated genes offered much information promoting that the biosynthesis of secondary metabolites pathway, the hormone signal transduction pathway, and the transcription regulation system may be closely related to the early flowering phenomenon of Angelica sinensis. Further expression patterns of key genes contribute to early flowering were analyzed using quantitative real-time PCR. The transcriptome result offered important gene expression information about early flowering in Angelica sinensis. SN - 2045-2322 UR - https://www.unboundmedicine.com/medline/citation/31296928/Transcriptome_and_digital_gene_expression_analysis_unravels_the_novel_mechanism_of_early_flowering_in_Angelica_sinensis_ DB - PRIME DP - Unbound Medicine ER -