Evidence map›Paper›PMID 39806276›Full record

ArticleBMC genomic data2025

Integrated metabolomic and transcriptomic analysis of anthocyanin metabolism in wheat pericarp.

Jiao Wang, Lei Sun, Bo Jiao, Pu Zhao, Tianyun Xu, Sa Gu, Chenmin Huo, Jianzhou Pang, Shuo Zhou

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC genomic data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

2 citing papers in PubMed.

  1. Review
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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.

Jiao Wang *Institute of Biotechnology and Food Science, Hebei Academy of Agriculture and Forestry Sciences/Hebei Key Laboratory of Plant Genetic Engineering, Shijiazhuang, 050000, China.
Lei Sun *Institute of Biotechnology and Food Science, Hebei Academy of Agriculture and Forestry Sciences/Hebei Key Laboratory of Plant Genetic Engineering, Shijiazhuang, 050000, China.
Bo JiaoInstitute of Biotechnology and Food Science, Hebei Academy of Agriculture and Forestry Sciences/Hebei Key Laboratory of Plant Genetic Engineering, Shijiazhuang, 050000, China.
Pu ZhaoInstitute of Biotechnology and Food Science, Hebei Academy of Agriculture and Forestry Sciences/Hebei Key Laboratory of Plant Genetic Engineering, Shijiazhuang, 050000, China.
Tianyun XuInstitute of Biotechnology and Food Science, Hebei Academy of Agriculture and Forestry Sciences/Hebei Key Laboratory of Plant Genetic Engineering, Shijiazhuang, 050000, China.
Sa GuInstitute of Biotechnology and Food Science, Hebei Academy of Agriculture and Forestry Sciences/Hebei Key Laboratory of Plant Genetic Engineering, Shijiazhuang, 050000, China.
Chenmin HuoHebei University of Economics and Business, Shijiazhuang, 050000, China.
Jianzhou PangDryland Farming Institute of Hebei Academy of Agricultural and Forestry Sciences/Key Laboratory of Crop Drought Tolerance Research of Hebei Province, Hengshui, 053000, China. pjzh003@163.com.
Shuo ZhouInstitute of Biotechnology and Food Science, Hebei Academy of Agriculture and Forestry Sciences/Hebei Key Laboratory of Plant Genetic Engineering, Shijiazhuang, 050000, China. zhoushuobio@163.com.

Funding

Funding Project of Central Guidance for Local Technological Development 246Z6307GHAAFS Agriculture Science and Technology Innovation Project 2023KJCXZX-SSS-8Hebei Natural Science Foundation C2024207001
6 · The paper itself

Abstract

backgroundWheat seeds display different colors due to the types and contents of anthocyanins, which is closely related to anthocyanin metabolism. In this study, a transcriptomic and metabolomic analysis between white and purple color wheat pericarp aimed to explore some key genes and metabolites involved in anthocyanin metabolism.

resultsTwo wheat cultivars, a white seed cultivar Shiluan02-1 and purple seed cultivar Hengzi151 were used to identify the variations in differentially expressed genes (DEGs) and differentially accumulated flavonoids (DAFs). Based on metabolomic data, 314 metabolites and 191 DAFs were identified. Chalcone, flavonol, pro-anthocyanidin and anthocyanidin were the most differentially accumulated flavonoid compounds in Hengzi151. 2610 up-regulated and 2668 down-regulated DEGs were identified according to transcriptomic data. The results showed that some structural genes in anthocyanin synthesis pathway were prominently activated in Hengzi151, such as PAL, CAD, CHS and so on. Transcription factors (TFs) of MYB, bHLH, WD40 and some other TFs probably involved in regulating anthocyanin biosynthesis were identified. Some genes from hormone synthetic and signaling pathways that may participate in regulating anthocyanin biosynthesis also have been identified.

conclusionsOur results provide valuable information on the candidate genes and metabolites involved in the anthocyanin metabolism in wheat pericarp.

Indexed as

AnthocyaninsTranscriptomeTriticumFlavonoidsGene Expression ProfilingGene Expression Regulation, PlantMetabolomicsPlant ProteinsSeedsTranscription FactorsAnthocyaninsFlavonoidsPlant ProteinsTranscription FactorsAnthocyaninHormoneMetabolomicTranscriptomicWheat pericarp

Identifiers

PMID39806276
PMCPMC11727400

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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.