Single-Cell Transcriptomics: A High-Resolution Avenue for Plant Functional Genomics

Trends Plant Sci. 2020 Feb;25(2):186-197. doi: 10.1016/j.tplants.2019.10.008. Epub 2019 Nov 25.

Abstract

Plant function is the result of the concerted action of single cells in different tissues. Advances in RNA-seq technologies and tissue processing allow us now to capture transcriptional changes at single-cell resolution. The incredible potential of single-cell RNA-seq lies in the novel ability to study and exploit regulatory processes in complex tissues based on the behaviour of single cells. Importantly, the independence from reporter lines allows the analysis of any given tissue in any plant. While there are challenges associated with the handling and analysis of complex datasets, the opportunities are unique to generate knowledge of tissue functions in unprecedented detail and to facilitate the application of such information by mapping cellular functions and interactions in a plant cell atlas.

Keywords: cell types; fluorescence-activated cell sorting; plant/root body plan; single-cell RNA-seq.

Publication types

  • Review

MeSH terms

  • Computational Biology
  • Genomics*
  • Plants
  • Sequence Analysis, RNA
  • Single-Cell Analysis
  • Transcriptome*