Department of Agronomy and Horticulture, Center for Plant Science Innovation, University of Nebraska-Lincoln, Lincoln, NE, 68503, USA.
Department of Agronomy and Horticulture, Center for Plant Science Innovation, University of Nebraska-Lincoln, Lincoln, NE, 68503, USA; Center for Biotechnology, University of Nebraska, Lincoln, NE 68588, USA; Single Cell Genomics Core Facility, University of Nebraska-Lincoln, NE 68588, USA.
Plant Sci. 2022 Dec;325:111486. doi: 10.1016/j.plantsci.2022.111486. Epub 2022 Oct 3.
Plant single-cell RNA-seq technology quantifies the abundance of plant transcripts at a single-cell resolution. Deciphering the transcriptomes of each plant cell, their regulation during plant cell development, and their response to environmental stresses will support the functional study of genes, the establishment of precise transcriptional programs, the prediction of more accurate gene regulatory networks, and, in the long term, the design of de novo gene pathways to enhance selected crop traits. In this review, we will discuss the opportunities, challenges, and problems, and share tentative solutions associated with the generation and analysis of plant single-cell transcriptomes. We will discuss the benefit and limitations of using plant protoplasts vs. nuclei to conduct single-cell RNA-seq experiments on various plant species and organs, the functional annotation of plant cell types based on their transcriptomic profile, the characterization of the dynamic regulation of the plant genes during cell development or in response to environmental stress, the need to characterize and integrate additional layers of -omics datasets to capture new molecular modalities at the single-cell level and reveal their causalities, the deposition and access to single-cell datasets, and the accessibility of this technology to plant scientists.
植物单细胞 RNA-seq 技术可定量测定单细胞水平的植物转录本丰度。解析每个植物细胞的转录组、它们在植物细胞发育过程中的调控以及它们对环境胁迫的反应,将支持基因的功能研究、精确转录程序的建立、更准确的基因调控网络的预测,以及从长远来看,设计从头基因途径来增强选定的作物性状。在这篇综述中,我们将讨论与生成和分析植物单细胞转录组相关的机会、挑战和问题,并分享一些初步的解决方案。我们将讨论使用植物原生质体与细胞核在各种植物物种和器官上进行单细胞 RNA-seq 实验的优缺点、基于转录组图谱对植物细胞类型进行功能注释、描述植物基因在细胞发育过程中的动态调控或对环境胁迫的反应、需要对其他组学数据集进行特征描述和整合,以在单细胞水平上捕获新的分子模态并揭示其因果关系、单细胞数据集的存储和访问,以及该技术对植物科学家的可及性。