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ORIGINAL RESEARCH article

Front. Plant Sci.

Sec. Plant Abiotic Stress

Volume 16 - 2025 | doi: 10.3389/fpls.2025.1692661

This article is part of the Research TopicPlant Molecular Biology and Microbiome Engineering: Next-Generation Strategies for Multi-Stress ResilienceView all articles

Integrated transcriptomic and metabolomic analysis reveals developmental stage-specific molecular responses to phosphorus deficiency in soybean

Provisionally accepted
Xiulin  LiuXiulin Liu1Xueyang  WangXueyang Wang1Chunlei  ZhangChunlei Zhang1Fengyi  ZhangFengyi Zhang1Kezhen  ZhaoKezhen Zhao1Rongqiang  YuanRongqiang Yuan1Sobhi  F LamlomSobhi F Lamlom1,2Bixian  ZhangBixian Zhang1Honglei  RenHonglei Ren1*
  • 1Heilongjiang Academy of Agricultural Sciences, Harbin, China
  • 2Alexandria University Faculty of Agriculture Sababasha, Alexandria, Egypt

The final, formatted version of the article will be published soon.

Background and Knowledge Gap: Phosphorus (P) deficiency is a major constraint to crop productivity worldwide, yet the molecular mechanisms behind stage-specific responses to severe P limitation during soybean development are not well understood. Although previous studies have looked at P stress responses, comprehensive multi-omics analyses across different developmental stages are missing, which limits our understanding of how P-efficient cultivars manage metabolic and transcriptional responses throughout their growth cycle. Objectives and Methods: This study used an integrated transcriptomic and metabolomic approach to analyze stage-specific responses to severe phosphorus limitation (99.875% reduction) in the P-efficient soybean cultivar Heinong 551 across four developmental stages: trefoil, flowering, podding, and post-podding. Results: Metabolomic profiling identified 280 differentially expressed metabolites (DEMs) during trefoil and 851 during flowering, showing a threefold increase in metabolic disturbance during reproductive development. Transcriptomic analysis revealed 15,401 differentially expressed genes (DEGs) across stages, with 94% occurring in early phases (trefoil: 3,825; flowering: 10,660). Functional enrichment showed stage-specific responses, with the trefoil stage enriched in cell wall and membrane processes, and flowering enriched in photosynthesis, isoflavonoid biosynthesis, and cuticle development. Transcription factor analysis identified 87 differentially expressed transcription factors from 31 families, mainly bHLH, bZIP, and WRKY. Integrated multi-omics analysis under strict criteria (correlation coefficient |r| > 0.9) revealed networks between transcripts and metabolites, with flowering showing increased transcriptional control over metabolism. Key trade-offs included a shift from sucrose export to starch storage, suppression of nitrogen enzymes, and activation of antioxidant defenses despite oxidative damage. Physiological principal component analysis explained 92% of variance, distinguishing treatment groups and three metabolic clusters: carbon assimilation/export, nitrogen assimilation, and stress response. Conclusion: Carbon metabolism exhibited compensatory mechanisms, including increased RubisCO and invertase activities, while nitrogen metabolism involved the downregulation of nitrate reductase, glutamine synthetase, and protein content. These findings reveal stage-specific molecular strategies used by P-efficient soybeans under severe limitation and inform sustainable agriculture practices aimed at optimizing crop performance in phosphorus-deficient conditions.

Keywords: Phosphorus deficiency, Multi-omics integration, Transcription Factors, Gene-metabolite networks, Plant adaptation mechanisms, abiotic stress response

Received: 26 Aug 2025; Accepted: 22 Sep 2025.

Copyright: © 2025 Liu, Wang, Zhang, Zhang, Zhao, Yuan, Lamlom, Zhang and Ren. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Honglei Ren, renhonglei2022@163.com

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