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水培叶菜作物非生物胁迫的跨物种分析揭示了保守的调控网络和关键差异。

Cross-species analysis of abiotic stress in hydroponic leafy crops reveals conserved regulatory networks and key divergences.

作者信息

Lee Jia Min, Goh Jong Ching, Koh Eugene, Mutwil-Anderwald Daniela, Mutwil Marek

机构信息

School of Biological Sciences, Nanyang Technological University, Singapore, Singapore.

Department of Plant and Environmental Sciences, University of Copenhagen, Copenhagen, Denmark.

出版信息

Front Plant Sci. 2025 Jul 7;16:1613016. doi: 10.3389/fpls.2025.1613016. eCollection 2025.

Abstract

Hydroponics is emerging as a vital method for producing resilient leafy greens in controlled environments. To systematically capture how hydroponically grown crops respond to stress, we subjected three species-cai xin, lettuce, and spinach-to 24 environmental and nutrient treatments. Growth measurements showed that extreme temperatures, reduced photoperiods, and severe macronutrient (N, P, K) deficiencies significantly limit fresh weight. Transcriptomic profiling (276 RNA-seq libraries) highlighted strong, shared downregulation of photosynthesis-related genes and upregulation of stress response and signaling genes across all three species. Leveraging a novel pipeline that merges regression-based gene network inference with orthology, we identified highly conserved gene regulatory networks (GRNs) spanning all three species-marking the first cross-species analysis of stress-responsive GRNs in economically important hydroponic leafy vegetables. These networks are anchored by well-known transcription factor families (e.g., WRKY, AP2/ERF, GARP), yet show lineage-specific differences compared to Arabidopsis, suggesting partial divergence in key regulatory components. Lastly, we introduce StressCoNekT (https://stress.plant.tools/), an interactive, publicly available database that hosts our transcriptomic data and offers comparative tools to accelerate the discovery of robust stress-responsive genes and cross-species analysis. This study not only deepens our understanding of abiotic stress adaptation in hydroponic systems but also provides a critical foundation for breeding stress-resilient crops and developing smart agriculture solutions.

摘要

水培法正在成为在可控环境中生产适应性强的叶菜类蔬菜的重要方法。为了系统地了解水培作物对胁迫的反应,我们对三种作物——菜心、生菜和菠菜——进行了24种环境和养分处理。生长测量结果表明,极端温度、缩短的光周期以及大量常量营养素(氮、磷、钾)缺乏会显著限制鲜重。转录组分析(276个RNA测序文库)突出显示,所有这三种作物中与光合作用相关的基因均出现强烈的共同下调,而应激反应和信号传导基因则上调。利用一种将基于回归的基因网络推断与直系同源性相结合的新型流程,我们识别出了跨越所有这三种作物的高度保守的基因调控网络(GRNs)——这标志着对经济上重要的水培叶菜类蔬菜中应激反应性GRNs的首次跨物种分析。这些网络由知名转录因子家族(如WRKY、AP2/ERF、GARP)锚定,但与拟南芥相比显示出谱系特异性差异,这表明关键调控成分存在部分差异。最后,我们推出了StressCoNekT(https://stress.plant.tools/),这是一个交互式的公开数据库,其中存放了我们的转录组数据,并提供比较工具,以加速发现强大的应激反应基因和进行跨物种分析。这项研究不仅加深了我们对水培系统中非生物胁迫适应性的理解,还为培育抗逆作物和开发智能农业解决方案提供了关键基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c6c/12277361/bac23563a281/fpls-16-1613016-g001.jpg

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