ArticleScientific reports2019
Transcriptome and digital gene expression analysis unravels the novel mechanism of early flowering in Angelica sinensis.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Transcriptomic Profiling Across Developmental Stages ofMetabolites · 2026Article
- AsAP2 transcriptionally activates ferulate 5-hydroxylase, diverting ferulic acid metabolism toward lignin biosynthesis in Angelica sinensis.Scientific reports · 2025Article
- Genome sequencing-based transcriptomic analysis reveals novel genes in Peucedanum praeruptorum.BMC genomic data · 2023Article
- Article
- Comparative transcriptome analysis on drought stress-induced floral formation ofPlant signaling & behavior · 2022Article
- Regulatory Networks of Flowering Genes inPlants (Basel, Switzerland) · 2022Article
- Transcriptomic Analysis Reveals LncRNAs Associated with Flowering ofCurrent issues in molecular biology · 2022Article
- Investigation of Enzymes in the Phthalide Biosynthetic Pathway inFrontiers in plant science · 2022Article
- Comparative Transcriptomics Unveil the Crucial Genes Involved in Coumarin Biosynthesis inFrontiers in plant science · 2022Article
- Transcriptional Controls for Early Bolting and Flowering inPlants (Basel, Switzerland) · 2021Article
- Physiological and Biochemical Responses, and Comparative Transcriptome Profiling of TwoFrontiers in plant science · 2021Article
- Article
- Transcriptome profiling of the flowering transition in saffron (Crocus sativus L.).Scientific reports · 2020Article
- Article
Corrections and comments
- Erratum issued
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
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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