Unveiling the spatiotemporal strategies of plants in response to biotic and abiotic stresses:A comprehensive review

被引:0
作者
Yu, Guo [1 ,2 ]
Xiang, Jingyu [1 ]
Lai, Caixing [1 ]
Li, Xiaoming [3 ]
Sunahara, Geoffrey I. [4 ]
Mo, Fujin [1 ]
Zhang, Xuehong [1 ]
Liu, Jie [1 ]
Lin, Hua [1 ]
Liu, Gang [3 ]
机构
[1] Guilin Univ Technol, Guangxi Key Lab Environm Pollut Control Theory & T, Guilin 541004, Peoples R China
[2] Tsinghua Univ, State Key Lab Iron & Steel Ind Environm Protect, Beijing 100084, Peoples R China
[3] Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Environm Aquat Chem, Beijing 100085, Peoples R China
[4] McGill Univ, Dept Nat Resource Sci, Montreal, PQ, Canada
基金
美国国家科学基金会;
关键词
Plant response; Single-cell transcriptomics; Spatial transcriptomics; Biotic stress; Abiotic stress; GENOME-WIDE EXPRESSION; GENE-EXPRESSION; TRANSCRIPTOME; ROOT; TISSUE; SEQ; VISUALIZATION; MECHANISMS; ATLAS; CELLS;
D O I
10.1016/j.plaphy.2025.109967
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Plant functions are governed by complex regulatory mechanisms that operate across diverse cell types in various tissues. However, the challenge of dissecting plant tissues has hindered the widespread application of single-cell technologies in plant research. Recent advancements in single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST) have propelled the field forward. scRNA-seq enables the examination of gene expression at the single-cell level, while ST preserves the spatial context of cellular organization. While previous reviews have discussed the breakthroughs of scRNA-seq and ST in plants, none have comprehensively addressed the use of these technologies to study plant responses to environmental stress at the cellular level. This review provides an in-depth analysis of the development, advantages, and limitations of single-cell and spatial transcriptomics, highlighting their critical role in unraveling plant strategies for coping with biotic and abiotic stresses. We also explore the challenges and future prospects of integrating scRNA-seq and ST in plant research. Understanding cell-specific responses and the complex interactions between cellular entities within the plant under stress is essential for advancing our knowledge of plant biology.
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页数:10
相关论文
共 95 条
[1]   The genome and preliminary single-nuclei transcriptome of Lemna minuta reveals mechanisms of invasiveness [J].
Abramson, Bradley W. ;
Novotny, Mark ;
Hartwick, Nolan T. ;
Colt, Kelly ;
Aevermann, Brian D. ;
Scheuermann, Richard H. ;
Michael, Todd P. .
PLANT PHYSIOLOGY, 2022, 188 (02) :879-897
[2]   Salinity Stress Alters Root Morphology and Root Hair Traits in Brassica napus [J].
Arif, Mohammad Rashid ;
Islam, M. Thoihidul ;
Robin, Arif Hasan Khan .
PLANTS-BASEL, 2019, 8 (07)
[3]   Development of a single-cell atlas for woodland strawberry (Fragaria vesca) leaves during early Botrytis cinerea infection using single-cell RNA-seq [J].
Bai, Yibo ;
Liu, Hui ;
Lyu, Haimeng ;
Su, Liyao ;
Xiong, Jinsong ;
Cheng, Zong-Ming .
HORTICULTURE RESEARCH, 2022, 9
[4]   Deep learning-based advances and applications for single-cell RNA-sequencing data analysis [J].
Bao, Siqi ;
Li, Ke ;
Yan, Congcong ;
Zhang, Zicheng ;
Qu, Jia ;
Zhou, Meng .
BRIEFINGS IN BIOINFORMATICS, 2022, 23 (01)
[5]   Single-Cell RNA Sequencing for Plant Research: Insights and Possible Benefits [J].
Bawa, George ;
Liu, Zhixin ;
Yu, Xiaole ;
Qin, Aizhi ;
Sun, Xuwu .
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2022, 23 (09)
[6]   Single-cell transcriptomics sheds light on the identity and metabolism of developing leaf cells [J].
Berrio, Ruben Tenorio ;
Verstaen, Kevin ;
Vandamme, Niels ;
Pevernagie, Julie ;
Achon, Ignacio ;
Van Duyse, Julie ;
Van Isterdael, Gert ;
Saeys, Yvan ;
De Veylder, Lieven ;
Inze, Dirk ;
Dubois, Marieke .
PLANT PHYSIOLOGY, 2022, 188 (02) :898-918
[7]   A mechanistic framework for auxin dependent Arabidopsis root hair elongation to low external phosphate [J].
Bhosale, Rahul ;
Giri, Jitender ;
Pandey, Bipin K. ;
Giehl, Ricardo F. H. ;
Hartmann, Anja ;
Traini, Richard ;
Truskina, Jekaterina ;
Leftley, Nicola ;
Hanlon, Meredith ;
Swarup, Kamal ;
Rashed, Afaf ;
Voss, Ute ;
Alonso, Jose ;
Stepanova, Anna ;
Yun, Jeonga ;
Ljung, Karin ;
Brown, Kathleen M. ;
Lynch, Jonathan P. ;
Dolan, Liam ;
Vernoux, Teva ;
Bishopp, Anthony ;
Wells, Darren ;
von Wiren, Nicolaus ;
Bennett, Malcolm J. ;
Swarup, Ranjan .
NATURE COMMUNICATIONS, 2018, 9
[8]   Joint profiling of chromatin accessibility and gene expression in thousands of single cells [J].
Cao, Junyue ;
Cusanovich, Darren A. ;
Ramani, Vijay ;
Aghamirzaie, Delasa ;
Pliner, Hannah A. ;
Hill, Andrew J. ;
Daza, Riza M. ;
McFaline-Figueroa, Jose L. ;
Packer, Jonathan S. ;
Christiansen, Lena ;
Steemers, Frank J. ;
Adey, Andrew C. ;
Trapnell, Cole ;
Shendure, Jay .
SCIENCE, 2018, 361 (6409) :1380-1385
[9]   Single-cell RNA sequencing profiles reveal cell type-specific transcriptional regulation networks conditioning fungal invasion in maize roots [J].
Cao, Yanyong ;
Ma, Juan ;
Han, Shengbo ;
Hou, Mengwei ;
Wei, Xun ;
Zhang, Xingrui ;
Zhang, Zhanyuan J. ;
Sun, Suli ;
Ku, Lixia ;
Tang, Jihua ;
Dong, Zhenying ;
Zhu, Zhendong ;
Wang, Xiaoming ;
Zhou, Xiaoxiao ;
Zhang, Lili ;
Li, Xiangdong ;
Long, Yan ;
Wan, Xiangyuan ;
Duan, Canxing .
PLANT BIOTECHNOLOGY JOURNAL, 2023, 21 (09) :1839-1859
[10]   Spatiotemporal transcriptomic atlas of mouse organogenesis using DNA nanoball-patterned arrays [J].
Chen, Ao ;
Liao, Sha ;
Cheng, Mengnan ;
Ma, Kailong ;
Wu, Liang ;
Lai, Yiwei ;
Qiu, Xiaojie ;
Yang, Jin ;
Xu, Jiangshan ;
Hao, Shijie ;
Wang, Xin ;
Lu, Huifang ;
Chen, Xi ;
Liu, Xing ;
Huang, Xin ;
Li, Zhao ;
Hong, Yan ;
Jiang, Yujia ;
Peng, Jian ;
Liu, Shuai ;
Shen, Mengzhe ;
Liu, Chuanyu ;
Li, Quanshui ;
Yuan, Yue ;
Wei, Xiaoyu ;
Zheng, Huiwen ;
Feng, Weimin ;
Wang, Zhifeng ;
Liu, Yang ;
Wang, Zhaohui ;
Yang, Yunzhi ;
Xiang, Haitao ;
Han, Lei ;
Qin, Baoming ;
Guo, Pengcheng ;
Lai, Guangyao ;
Munoz-Canoves, Pura ;
Maxwell, Patrick H. ;
Thiery, Jean Paul ;
Wu, Qing-Feng ;
Zhao, Fuxiang ;
Chen, Bichao ;
Li, Mei ;
Dai, Xi ;
Wang, Shuai ;
Kuang, Haoyan ;
Hui, Junhou ;
Wang, Liqun ;
Fei, Ji-Feng ;
Wang, Ou .
CELL, 2022, 185 (10) :1777-+