Evidence map›Paper›PMID 40593515›Full record

ArticleNature communications2025

Unraveling the regulatory network of barley grain metabolism through the integrative analysis of multiomics and mQTL.

Ruilian Song, Yixiang Wang, Yanjun Li, Qifei Wang, Siyu Zhang, Dongfa Sun, Genlou Sun, Longqing Sun, Xifeng Ren

Abstract read
In one paragraph

Article in Nature communications, 2025. 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

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

5 citing papers in PubMed.

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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.

Ruilian Song *Hubei Hongshan Laboratory, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China.
Yixiang Wang *Hubei Hongshan Laboratory, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China.ORCID http://orcid.org/0009-0001-6910-7610
Yanjun LiHubei Hongshan Laboratory, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China.
Qifei WangInstitute of Crop and Nuclear Technology Utilization, Zhejiang Academy of Agricultural Sciences, Hangzhou, China.
Siyu ZhangHubei Hongshan Laboratory, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China.
Dongfa SunHubei Hongshan Laboratory, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China.
Genlou SunSaint Mary's University, Halifax, NS, Canada.
Longqing SunHubei Key Laboratory of Food Crop Germplasm and Genetic Improvement, Food Crops Institute, Hubei Academy of Agricultural Sciences, Wuhan, China. lqsun@hbaas.com.ORCID http://orcid.org/0009-0003-3164-7982
Xifeng RenHubei Hongshan Laboratory, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China. renxifeng@mail.hzau.edu.cn.ORCID http://orcid.org/0000-0002-1730-9421

Funding

Agriculture Research System of China (China's Agricultural Research System) CARS-05
6 · The paper itself

Abstract

Although metabolites of barley grains have been analyzed, the changes in metabolite abundance and gene expression regulation mechanisms during barley grain development have not been elucidated. Here, we explore the dynamic accumulation patterns of metabolites in barley grains at six different developmental stages by analyzing high-resolution metabolomic and transcriptomic data from Huadamai6 and Huaai11. We detect 986 metabolites and 18,868 co-expressed genes. Meanwhile, we identify 1057 mQTLs associated with 553 metabolites in a double haploid (DH) population derived from these two cultivars, and integrate metabolome, transcriptome, and mQTL information to construct a global co-expression regulatory network of barley grain metabolism. Using this dataset, we excavate transcription factors and structural genes that regulate flavonoid metabolism pathway, and also reveal the complex mechanism of HvC1-1 and HvMYC-1 regulating grain color differentiation in the DH population. Our findings reveal the metabolic regulatory network of barley grains development, and provide valuable resources for future nutritional quality improvement and molecular design breeding of barley.

Indexed as

Edible GrainGene Regulatory NetworksHordeumQuantitative Trait LociSeedsGene Expression ProfilingGene Expression Regulation, PlantHaploidyMetabolomeMetabolomicsMultiomicsPlant ProteinsTranscription FactorsTranscriptomePlant ProteinsTranscription Factors

Identifiers

PMID40593515
PMCPMC12214886

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LicenceCC BY-NC-ND
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Registered trials

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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.