Regulatory network unveils the molecular architecture governing seed vigor in watermelon (Citrullus lanatus).

IF 13.5 1区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
Plant Cell Pub Date : 2026-10-05 DOI:10.1093/plcell/koag263
Xinyi Wu, Mengxue Cheng, Xuyang Li, Chunyu Zhang, Yingying Zhou, Bing Bai
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引用次数: 0

Abstract

Seed vigor, a determinant of agricultural productivity, diminishes during aging but can be restored through priming. We integrated multi-omics approaches to dissect molecular mechanisms governing watermelon seed vigor under controlled deterioration and priming. Controlled deterioration progressively impaired germination speed (t50) and uniformity (AUC) before reducing maximum germination (Gmax), whereas priming reversed these effects even under aging conditions. Transcriptome analyses revealed that aging upregulated oxidative-stress genes (e.g., cytochrome c oxidase) and suppressed translation machinery. Priming activated stress-response pathways and ribosomal proteins through DOF/ERF-mediated transcriptional reprogramming via cis-element recognition, and molecular docking and yeast one-hybrid assays confirmed this interaction. Two biomarkers, Cla97C04G070560 (cytochrome c oxidase) and Cla97C03G062270 (ribosomal protein), were identified as quantitative predictors of germination decline. Machine-learning-based proteomic models and a regulatory network, SeedWatermelonNet, were constructed. These analyses uncovered hub genes (e.g., OHCU-decarbox, HSPs, LIM, NADPH-dependent aldehyde reductase 1, RPL32) coordinating uric acid metabolism, stress responses, energy metabolism, and translation. Experimental validation confirmed the regulatory roles of these candidates, including physical interactions mediating seed-vigor transduction cascades and their predicted function as direct regulators of seed vigor via SeedWatermelonNet. Maternal alleles dominated transcriptional regulation of stored mRNAs, with aging reducing maternal-specific gene expression. Promoter SNPs in these genes implicated BPC and DOF transcription factors in maternal bias. These findings establish molecular thresholds for vigor loss, validate priming as a resilience strategy, and provide biomarkers for seed quality assessment. Integrating transcriptomic, proteomic, and allele-specific insights advances precision breeding and storage practices, offering targets to enhance seed resilience against climate-driven challenges in agricultural.

调控网络揭示了西瓜种子活力的分子结构。
种子活力是农业生产力的决定因素,在衰老过程中会减弱,但可以通过灌浆恢复。本研究采用多组学方法分析了西瓜种子在受控变质和启动条件下活力的分子机制。在降低最大发芽率(Gmax)之前,控制变质(CD)会逐渐降低萌发速度(t50)和均匀性(AUC),而在老化条件下,启动会逆转这些影响。转录组分析显示,衰老上调了氧化应激基因(如细胞色素c氧化酶)并抑制了翻译机制。通过DOF/ erf介导的顺式元件识别转录重编程,启动激活了应激反应途径和核糖体蛋白,分子对接和酵母单杂交实验证实了这种相互作用。两个生物标志物cl97c04g070560(细胞色素c氧化酶)和cl97c03g062270(核糖体蛋白)被确定为种子萌发下降的定量预测因子。构建了基于机器学习的蛋白质组学模型和调控网络SeedWatermelonNet (SWN)。这些分析揭示了中枢基因(如OHCU_decarbox、HSPs、LIM、nadph依赖性醛还原酶1、RPL32)协调尿酸代谢、应激反应、能量代谢和翻译。实验验证证实了这些候选基因的调控作用,包括介导种子活力转导级联的物理相互作用,以及它们通过SWN作为种子活力直接调节剂的预测功能。母体等位基因主导了储存mrna的转录调控,衰老降低了母体特异性基因的表达。这些基因的启动子snp涉及BPC和DOF转录因子在母体偏倚。这些发现建立了活力损失的分子阈值,验证了启动作为恢复策略,并为种子质量评估提供了生物标志物。整合转录组学、蛋白质组学和等位基因特异性见解可推进精准育种和储存实践,为提高种子抵御气候驱动农业挑战的能力提供目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Plant Cell
Plant Cell 生物-生化与分子生物学
CiteScore
16.90
自引率
5.20%
发文量
337
审稿时长
2.4 months
期刊介绍: Title: Plant Cell Publisher: Published monthly by the American Society of Plant Biologists (ASPB) Produced by Sheridan Journal Services, Waterbury, VT History and Impact: Established in 1989 Within three years of publication, ranked first in impact among journals in plant sciences Maintains high standard of excellence Scope: Publishes novel research of special significance in plant biology Focus areas include cellular biology, molecular biology, biochemistry, genetics, development, and evolution Primary criteria: articles provide new insight of broad interest to plant biologists and are suitable for a wide audience Tenets: Publish the most exciting, cutting-edge research in plant cellular and molecular biology Provide rapid turnaround time for reviewing and publishing research papers Ensure highest quality reproduction of data Feature interactive format for commentaries, opinion pieces, and exchange of information in review articles, meeting reports, and insightful overviews.
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