Evidence map›Paper›PMID 32703155›Full record

ArticleBMC plant biology2020

Integrated metabolomic and transcriptomic analysis of the anthocyanin regulatory networks in Salvia miltiorrhiza Bge. flowers.

Tao Jiang, Meidi Zhang, Chunxiu Wen, Xiaoliang Xie, Wei Tian, Saiqun Wen, Ruike Lu, Lingdi Liu

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed
8.3field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

58 citing papers in PubMed, 161 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

8 authors at 2 institutions in 1 country.

Tao JiangInstitute of Cash Crops, Hebei Academy of Agricultural and Forestry Sciences, Shijiazhuang, 050051, Hebei, China.
Meidi ZhangInstitute of Chinese Herbal Medicines, Hubei Academy of Agricultural Sciences, Enshi, 445000, Hubei, China.
Chunxiu WenInstitute of Cash Crops, Hebei Academy of Agricultural and Forestry Sciences, Shijiazhuang, 050051, Hebei, China.
Xiaoliang XieInstitute of Cash Crops, Hebei Academy of Agricultural and Forestry Sciences, Shijiazhuang, 050051, Hebei, China.
Wei TianInstitute of Cash Crops, Hebei Academy of Agricultural and Forestry Sciences, Shijiazhuang, 050051, Hebei, China.
Saiqun WenInstitute of Cash Crops, Hebei Academy of Agricultural and Forestry Sciences, Shijiazhuang, 050051, Hebei, China.
Ruike LuInstitute of Cash Crops, Hebei Academy of Agricultural and Forestry Sciences, Shijiazhuang, 050051, Hebei, China.
Lingdi LiuInstitute of Cash Crops, Hebei Academy of Agricultural and Forestry Sciences, Shijiazhuang, 050051, Hebei, China. nkyliulingdi@126.com.
Hebei Academy of Agriculture and Forestry Sciences · CNHubei Academy of Agricultural Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe objectives of this study were to reveal the anthocyanin biosynthesis metabolic pathway in white and purple flowers of Salvia miltiorrhiza using metabolomics and transcriptomics, to identify different anthocyanin metabolites, and to analyze the differentially expressed genes involved in anthocyanin biosynthesis.

resultsWe analyzed the metabolomics and transcriptomics data of S. miltiorrhiza flowers. A total of 1994 differentially expressed genes and 84 flavonoid metabolites were identified between the white and purple flowers of S. miltiorrhiza. Integrated analysis of transcriptomics and metabolomics showed that cyanidin 3,5-O-diglucoside, malvidin 3,5-diglucoside, and cyanidin 3-O-galactoside were mainly responsible for the purple flower color of S. miltiorrhiza. A total of 100 unigenes encoding 10 enzymes were identified as candidate genes involved in anthocyanin biosynthesis in S. miltiorrhiza flowers. Low expression of the ANS gene decreased the anthocyanin content but enhanced the accumulation of flavonoids in S. miltiorrhiza flowers.

conclusionsOur results provide valuable information on the anthocyanin metabolites and the candidate genes involved in the anthocyanin biosynthesis pathways in S. miltiorrhiza.

Indexed as

AnthocyaninsFlavonoidsFlowersGene Expression ProfilingGene Expression Regulation, PlantGene Regulatory NetworksPigmentationSalvia miltiorrhizaAnthocyaninsFlavonoidsAnthocyaninMedicinal plantMetaboliteS. MiltiorrhizaTranscriptome

Identifiers

PMID32703155
PMCPMC7379815
OpenAlexW3044247859

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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.