Evidence map›Paper›PMID 38097929›Full record

ArticleBMC plant biology2023

Integrated metabolome and transcriptome analyses of anthocyanin biosynthesis reveal key candidate genes involved in colour variation of Scutellaria baicalensis flowers.

Fengdan Guo, Renwei Guan, Xinru Sun, Cuicui Zhang, Chenggang Shan, Mengyu Liu, Ning Cui, Ping Wang, Huibin Lin

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.0field-weighted citation impact, top 13% of its field
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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 13 citations in OpenAlex.

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4 · The record

Corrections and comments

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

9 authors at 3 institutions in 1 country.

Fengdan GuoInstitute of Chinese Medicine Resources, Shandong Academy of Chinese Medicine, No.7, Yanzishan West Road, Jinan, 250014, PR China.
Renwei GuanInstitute of Chinese Medicine Resources, Shandong Academy of Chinese Medicine, No.7, Yanzishan West Road, Jinan, 250014, PR China.
Xinru SunInstitute of Chinese Medicine Resources, Shandong Academy of Chinese Medicine, No.7, Yanzishan West Road, Jinan, 250014, PR China.
Cuicui ZhangInstitute of Chinese Medicine Resources, Shandong Academy of Chinese Medicine, No.7, Yanzishan West Road, Jinan, 250014, PR China.
Chenggang ShanInstitute of Industrial Crops, Shandong Academy of Agricultural Sciences, Jinan, 250100, PR China.
Mengyu LiuCollege of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan, 250355, PR China.
Ning CuiInstitute of Chinese Medicine Resources, Shandong Academy of Chinese Medicine, No.7, Yanzishan West Road, Jinan, 250014, PR China.
Ping WangInstitute of Chinese Medicine Resources, Shandong Academy of Chinese Medicine, No.7, Yanzishan West Road, Jinan, 250014, PR China. wangpingjinan@163.com.
Huibin LinInstitute of Chinese Medicine Resources, Shandong Academy of Chinese Medicine, No.7, Yanzishan West Road, Jinan, 250014, PR China. linhuibin68@163.com.
Shandong Academy of Chinese Medicine · CNShandong Academy of Agricultural Sciences · CNShandong University of Traditional Chinese Medicine · CN

Funding

Agricultural Application Technology Innovation Program in Jinan City CX202112Central Government Major Project for Increase and Reduce Expenditure 2060302Central Special Fund for Guiding Local Science and Technology Development YDZX2021117Cultivation and Soil Fertilizer Post Expert Project of Chinese Herbal Medicine Industry Technology System in Shandong Province SDAIT-20Guarantee Capability Enhancement Project of Traditional Chinese Medicine Resource 202319Innovation Capability Enhancement Project for Technological Small and Medium Sized Enterprises in Shandong Province 2022TSGC1059, 2023TSGC0444Major Science and Technology Innovation Projects of Shandong Province 2020CXGC010505-04Science and Technology Project of Chinese Medicine in Shandong Province Q-2022083Special Funding for the Cultivation of High-Level Talents in Traditional Chinese Medicine in Shandong Province 2023143
6 · The paper itself

Abstract

backgroundBright flower colour assists plants attract insects to complete pollination and provides distinct ornamental values. In some medicinal plants, diverse flower colour variations usually imply differences in active ingredients. Compared to the common bluish purple of Scutellaria baicalensis flower (SB), the natural variants present rose red (SR) and white (SW) flowers were screened out under the same growing conditions in the genuine producing area Shandong Province, China. However, the mechanism of flower colour variation in S. baicalensis was remain unclear. In the present study, we conducted integrated transcriptome and metabolome analyses to uncover the metabolic difference and regulation mechanism in three S. baicalensis flowers.

resultsThe results showed that 9 anthocyanins were identified. Among which, 4 delphinidin-based anthocyanins were only detected in SB, 4 cyanidin-based anthocyanins (without cyanidin-3-O-glucoside) mainly accumulated in SR, and no anthocyanin but high level of flavanone, naringenin, was detected in SW. The gene expression profile indicated that the key structural genes in the flavonoid and anthocyanin biosynthesis pathway differentially expressed in flowers with different colours. Compared to SB, the down-regulated expression of F3'5'H, ANS, and 3GT gene in SR might influence the anthocyanin composition. Especially the InDel site with deletion of 7 nucleotides (AATAGAG) in F3'5'H in SR might be the determinant for lack of delphinidin-based anthocyanins in rose red flowers. In SW, the lower expression levels of DFR and two F3H genes might reduce the anthocyanin accumulation. Notably the SNP site of G > A mutation in the splicing site of DFR in SW might block anthocyanin biosynthesis from flavanones and thus cause white flowers. In addition, several key transcription factors, including MYB, bHLH, and NAC, which highly correlated with structural gene expression and anthocyanin contents were also identified.

conclusionsThese results provide clues to uncover the molecular regulatory mechanism of flower colour variation in S. baicalensis and promote novel insights into understanding the anthocyanin biosynthesis and regulation.

Indexed as

AnthocyaninsScutellaria baicalensisColorFlowersGene Expression ProfilingGene Expression Regulation, PlantMetabolomePigmentationTranscriptomeAnthocyaninsAnthocyaninFlower colourScutellaria baicalensisStructural genesTranscription factors

Identifiers

PMID38097929
PMCPMC10722828
OpenAlexW4389751310

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.