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植物生物学中的单细胞组学:作用机制洞察及其在作物改良中的应用

Single-cell omics in plant biology: mechanistic insights and applications for crop improvement.

作者信息

Zhu Tao, Li Tianxiang, Lü Peitao, Li Chenlong

机构信息

State Key Laboratory of Biocontrol, Guangdong Provincial Key Laboratory of Plant Stress Biology, School of Life Sciences, Sun Yat-Sen University, Guangzhou, 510275, China.

National Key Laboratory for Tropical Crop Breeding, Institute of Tropical Bioscience and Biotechnology &, Sanya Research Institute, Chinese Academy of Tropical Agricultural Sciences, Sanya, 572024, China.

出版信息

Adv Biotechnol (Singap). 2025 Jul 2;3(3):20. doi: 10.1007/s44307-025-00074-8.

Abstract

In recent years, single-cell omics technologies have significantly advanced plant and agricultural research, providing transformative insights into plant development, cellular heterogeneity, and environmental response mechanisms. Traditional bulk-level analyses often obscure differences between individual cells, whereas single-cell RNA sequencing (scRNA-seq) and single-nucleus RNA sequencing (snRNA-seq) now reveal unique expression profiles across distinct cell populations, facilitating the identification of novel cell types and elucidation of gene regulatory networks. Additionally, epigenomic approaches like single-nucleus ATAC sequencing (snATAC-seq) offer a deeper understanding of chromatin accessibility and its complex relationship with gene regulation. These technologies have seen widespread application in model plants such as Arabidopsis thaliana, as well as in major crops and horticultural plants, providing essential data for crop improvement and breeding strategies. Moving forward, with the continued development and integration of single-cell multi-omics technologies, there will be greater depth of insight into cell-type-specific regulation and complex trait analysis, bringing new opportunities for sustainable agriculture and crop improvement.

摘要

近年来,单细胞组学技术极大地推动了植物和农业研究,为植物发育、细胞异质性及环境响应机制提供了具有变革性的见解。传统的整体水平分析常常掩盖了单个细胞之间的差异,而单细胞RNA测序(scRNA-seq)和单细胞核RNA测序(snRNA-seq)现在揭示了不同细胞群体独特的表达谱,有助于识别新型细胞类型并阐明基因调控网络。此外,诸如单细胞核ATAC测序(snATAC-seq)等表观基因组学方法能更深入地了解染色质可及性及其与基因调控的复杂关系。这些技术已在拟南芥等模式植物以及主要农作物和园艺植物中广泛应用,为作物改良和育种策略提供了重要数据。展望未来,随着单细胞多组学技术的持续发展与整合,对细胞类型特异性调控和复杂性状分析的洞察将更加深入,为可持续农业和作物改良带来新机遇。

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