Single-Cell RNA Sequencing Resolves Molecular Relationships Among Individual Plant Cells.

Kook Hui Ryu, Ling Huang, Hyun Min Kang, John Schiefelbein
Author Information
  1. Kook Hui Ryu: Department of Molecular, Cellular, and Developmental Biology, University of Michigan, Ann Arbor, Michigan 48109. ORCID
  2. Ling Huang: Salk Institute for Biological Studies, La Jolla, California 92037. ORCID
  3. Hyun Min Kang: Department of Biostatistics, University of Michigan, Ann Arbor, Michigan 48109. ORCID
  4. John Schiefelbein: Department of Molecular, Cellular, and Developmental Biology, University of Michigan, Ann Arbor, Michigan 48109 schiefel@umich.edu. ORCID

Abstract

Single-cell RNA sequencing (scRNA-seq) has been used extensively to study cell-specific gene expression in animals, but it has not been widely applied to plants. Here, we describe the use of a commercially available droplet-based microfluidics platform for high-throughput scRNA-seq to obtain single-cell transcriptomes from protoplasts of more than 10,000 Arabidopsis () root cells. We find that all major tissues and developmental stages are represented in this single-cell transcriptome population. Further, distinct subpopulations and rare cell types, including putative quiescent center cells, were identified. A focused analysis of root epidermal cell transcriptomes defined developmental trajectories for individual cells progressing from meristematic through mature stages of root-hair and nonhair cell differentiation. In addition, single-cell transcriptomes were obtained from root epidermis mutants, enabling a comparative analysis of gene expression at single-cell resolution and providing an unprecedented view of the impact of the mutated genes. Overall, this study demonstrates the feasibility and utility of scRNA-seq in plants and provides a first-generation gene expression map of the Arabidopsis root at single-cell resolution.

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MeSH Term

Arabidopsis
Feasibility Studies
Plant Epidermis
Plant Roots
Protoplasts
Sequence Analysis, RNA
Single-Cell Analysis
Transcriptome