Evidence map›Paper›PMID 40996567›Full record

ArticleFunctional & integrative genomics2025

Joint multi-omics analysis reveals the response mechanism in rapeseed (Brassica Rapa L.) under low nitrogen stress.

Yi Gong, Fang Huan, Saba Zafar, Aiman Hina, Fang Zhao, ZeJiang Qiu, Nazih Y Rebouh, Aqsa Parvaiz, WeiHai Hou

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Article in Functional & integrative genomics, 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
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2citing papers in PubMed
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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.

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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.

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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

9 authors.

Yi GongPlant Sciences College, Xizang Agricultural and Animal Husbandry University, Linzhi, XiZang, China.
Fang HuanPlant Sciences College, Xizang Agricultural and Animal Husbandry University, Linzhi, XiZang, China.
Saba ZafarDepartment of Biochemistry and Biotechnology, The Women University Multan, Multan, 66000, Pakistan.
Aiman HinaMinistry of Agriculture (MOA) National Centre for Soybean Improvement, State Key Laboratory for Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, China.ORCID http://orcid.org/0000-0003-1656-2780
Fang ZhaoPlant Sciences College, Xizang Agricultural and Animal Husbandry University, Linzhi, XiZang, China.
ZeJiang QiuPlant Sciences College, Xizang Agricultural and Animal Husbandry University, Linzhi, XiZang, China.
Nazih Y RebouhDepartment of Environmental Management, Institute of Environmental Engineering, RUDN University, 6 Miklukho-Maklaya St., Moscow, 117198, Russia.
Aqsa ParvaizDepartment of Biochemistry and Biotechnology, The Women University Multan, Multan, 66000, Pakistan. aqsa.6497@wum.edu.pk.
WeiHai HouPlant Sciences College, Xizang Agricultural and Animal Husbandry University, Linzhi, XiZang, China. Houwei.hai@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nitrogen is fundamental macronutrient that regulates plant growth by modulating a wide array of physiological and metabolic processes. However, the excessive application of nitrogen fertilizers has led to substantial environmental concerns, emphasizing the need for sustainable nitrogen management in agriculture. In this study, an integrative analysis encompassing morphological, physiological, transcriptomic, and metabolomic approaches was employed to investigate the adaptive responses of Brassica rapa (rapeseed) under contrasting nitrogen regimes. Morphological assessments demonstrated significant enhancements in root length and surface area under low nitrogen conditions, while photosynthesis traits particularly chlorophyll content were markedly reduced, underscoring nitrogen`s essential role in photosynthetic efficiency. Enzymatic activity assays revealed tissue-specific responses: roots exhibited elevated enzymatic activities under nitrogen deficiency, indicative of compensatory nitrogen uptake strategies, whereas leaves showed a decline in enzymatic functions, reflecting Limited nitrogen availability. Transcriptomic profiling identified 1,481 and 1,917 differentially expressed genes (DEGs) in roots and leaves, respectively, which were primarily associated with photosynthesis, amino acid metabolism, and oxidative stress responses. These transcriptomic shifts were corroborated by metabolic profiling, which reveled significant alterations in metabolites involved in amino acid metabolism, phenylpropanoid biosynthesis, and energy production pathways. Integration of transcriptomic and metabolomic datasets through Weighted Gene Co-expression Network Analysis (WGCNA) identified key gene metabolite modules implicated in nitrogen stress adaptation. Quantitative RT-PCR validation of selected DEGs confirmed the RNA-Seq expression patterns, further substantiating the reliability of the transcriptomic data. Collectively, this comprehensive multi-omics investigation elucidates the molecular basis of B. rapa`s adaptation to nitrogen deficient conditions, providing valuable insights for enhancing nitrogen use efficiency and guiding sustainable crop management strategies.

Indexed as

Brassica rapaNitrogenStress, PhysiologicalTranscriptomeGene Expression Regulation, PlantMultiomicsPhotosynthesisPlant LeavesPlant ProteinsPlant RootsNitrogenPlant ProteinsBrassica rapaLow nitrogen stressMetabolomicsNitrogen translocaseNitrogen use efficiencyTranscriptomicsWGCNA

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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.