Evidence map›Paper›PMID 39220008›Full record

ArticleFrontiers in plant science2024

Integrative analysis of the metabolome and transcriptome reveals the mechanism of polyphenol biosynthesis in

Xing Zhao, Yiguo Li, Yuanchong Huang, Jun Shen, Huini Xu, Kunzhi Li

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Article in Frontiers in plant science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Xing ZhaoFaculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, China.
Yiguo LiFaculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, China.
Yuanchong HuangFaculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, China.
Jun ShenFaculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, China.
Huini XuFaculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, China.
Kunzhi LiFaculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Dandelion is widely used in clinical practice due to its beneficial effects. Polyphenolic compounds are considered the main anti-inflammatory active ingredient of dandelion, but the gene expression patterns of polyphenolic compounds in different dandelion tissues are still unclear. Methods: In this study, we combined a nontargeted metabolome, PacBio Iso-seq transcriptome, and Illumina RNA-seq transcriptome to investigate the relationship between polyphenols and gene expression in roots, flowers, and leaves of flowering dandelion plants. Results: Eighty-eight flavonoids and twenty-five phenolic acids were identified, and 64 candidate genes involved in flavonoid biosynthesis and 63 candidate genes involved in chicoric acid biosynthesis were identified. Most flavonoid and chicoric acid-related genes demonstrated the highest content in flowers. RNA-seq analysis revealed that genes involved in polyphenol biosynthesis pathways, such as CHS, CHI, F3H, F3'H, FLS, HQT, and CAS, which are crucial for the accumulation of flavonoids and chicoric acid, were upregulated in flowers. Discussion: The combination of transcriptomic and metabolomic data can help us better understand the biosynthetic pathways of polyphenols in dandelion. These results provide abundant genetic resources for further studying the regulatory mechanism of dandelion polyphenol biosynthesis.

Indexed as

chicoric aciddandelionflavonoidmetabolome and transcriptomepolyphenol

Identifiers

PMID39220008
PMCPMC11361933

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