Abstract
Plants are complex systems hierarchically organized and composed of various cell types. To understand the molecular underpinnings of complex plant systems, single-cell RNA sequencing (scRNA-seq) has emerged as a powerful tool for revealing high resolution of gene expression patterns at the cellular level and investigating the cell-type heterogeneity. Furthermore, scRNA-seq analysis of plant biosystems has great potential for generating new knowledge to inform plant biosystems design and synthetic biology, which aims to modify plants genetically/epigenetically through genome editing, engineering, or rewriting based on rational design for increasing crop yield and quality, promoting the bioeconomy and enhancing environmental sustainability. In particular, data from scRNA-seq studies can be utilized to facilitate the development of high-precision Build-Design-Test-Learn capabilities for maximizing the targeted performance of engineered plant biosystems while minimizing unintended side effects. To date, scRNA-seq has been demonstrated in a limited number of plant species, including model plants (e.g., Arabidopsis thaliana), agricultural crops (e.g., Oryza sativa), and bioenergy crops (e.g., Populus spp.). It is expected that future technical advancements will reduce the cost of scRNA-seq and consequently accelerate the application of this emerging technology in plants. In this review, we summarize current technical advancements in plant scRNA-seq, including sample preparation, sequencing, and data analysis, to provide guidance on how to choose the appropriate scRNA-seq methods for different types of plant samples. We then highlight various applications of scRNA-seq in both plant systems biology and plant synthetic biology research. Finally, we discuss the challenges and opportunities for the application of scRNA-seq in plants.
Original language | English |
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Article number | 0029 |
Journal | BioDesign Research |
Volume | 6 |
DOIs | |
State | Published - 2024 |
Funding
Funding: The writing of this manuscript was supported by the Center for Bioenergy Innovation (CBI), which is a U.S. Department of Energy (DOE) Bioenergy Research Center supported by the Office of Biological and Environmental Research in the DOE Office of Science, and the DOE Genomic Science Program, as part of the Secure Ecosystem Engineering and Design Scientific (SEED) Focus Area. Oak Ridge National Laboratory is managed by UT-Battelle, LLC for the U.S. DOE under Contract Number DE-AC05-00OR22725. This material is based on work supported by the U.S. Department of Energy, Office of Science, Biological and Environmental Research Program under Award Number DE-SC0023338 to CRB. Author contributions: M.T.I., Y.L., and X.Y. conceived the idea and drafted the manuscript. M.T.I. and Y.L. designed the figures. All authors have read and contributed to the content, edited, and reviewed it. Competing interests: The authors declare that they have no competing interests.