Literature DB >> 33422696

Single-nucleus RNA and ATAC sequencing reveals the impact of chromatin accessibility on gene expression in Arabidopsis roots at the single-cell level.

Andrew Farmer1, Sandra Thibivilliers2, Kook Hui Ryu3, John Schiefelbein3, Marc Libault4.   

Abstract

Similar to other complex organisms, plants consist of diverse and specialized cell types. The gain of unique biological functions of these different cell types is the consequence of the establishment of cell-type-specific transcriptional programs. As a necessary step in gaining a deeper understanding of the regulatory mechanisms controlling plant gene expression, we report the use of single-nucleus RNA sequencing (sNucRNA-seq) and single-nucleus assay for transposase accessible chromatin sequencing (sNucATAC-seq) technologies on Arabidopsis roots. The comparison of our single-nucleus transcriptomes to the published protoplast transcriptomes validated the use of nuclei as biological entities to establish plant cell-type-specific transcriptomes. Furthermore, our sNucRNA-seq results uncovered the transcriptomes of additional cell subtypes not identified by single-cell RNA-seq. Similar to our transcriptomic approach, the sNucATAC-seq approach led to the distribution of the Arabidopsis nuclei into distinct clusters, suggesting the differential accessibility of chromatin between groups of cells according to their identity. To reveal the impact of chromatin accessibility on gene expression, we integrated sNucRNA-seq and sNucATAC-seq data and demonstrated that cell-type-specific marker genes display cell-type-specific patterns of chromatin accessibility. Our data suggest that the differential chromatin accessibility is a critical mechanism to regulate gene activity at the cell-type level.
Copyright © 2021 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Arabidopsis; root; single-cell RNA-seq; single-nucleus ATAC-seq

Mesh:

Year:  2021        PMID: 33422696     DOI: 10.1016/j.molp.2021.01.001

Source DB:  PubMed          Journal:  Mol Plant        ISSN: 1674-2052            Impact factor:   13.164


  31 in total

1.  Isolation of Plant Nuclei Compatible with Microfluidic Single-nucleus ATAC-sequencing.

Authors:  Sandra B Thibivilliers; Dirk K Anderson; Marc Y Libault
Journal:  Bio Protoc       Date:  2021-12-05

2.  One-by-one nuclear sequencing.

Authors:  Chris Surridge
Journal:  Nat Plants       Date:  2022-01       Impact factor: 15.793

Review 3.  Omics-Facilitated Crop Improvement for Climate Resilience and Superior Nutritive Value.

Authors:  Tinashe Zenda; Songtao Liu; Anyi Dong; Jiao Li; Yafei Wang; Xinyue Liu; Nan Wang; Huijun Duan
Journal:  Front Plant Sci       Date:  2021-12-01       Impact factor: 5.753

4.  Single-cell genomics revolutionizes plant development studies across scales.

Authors:  Mingyuan Zhu; Isaiah W Taylor; Philip N Benfey
Journal:  Development       Date:  2022-03-14       Impact factor: 6.868

Review 5.  Epigenome plasticity in plants.

Authors:  James P B Lloyd; Ryan Lister
Journal:  Nat Rev Genet       Date:  2021-09-15       Impact factor: 53.242

Review 6.  Potentials of single-cell genomics in deciphering cellular phenotypes.

Authors:  Abbas Shojaee; Michelle Saavedra; Shao-Shan Carol Huang
Journal:  Curr Opin Plant Biol       Date:  2021-06-08       Impact factor: 9.396

Review 7.  Single-cell analysis of cell identity in the Arabidopsis root apical meristem: insights and opportunities.

Authors:  Rachel Shahan; Trevor M Nolan; Philip N Benfey
Journal:  J Exp Bot       Date:  2021-10-13       Impact factor: 7.298

8.  A single-cell Arabidopsis root atlas reveals developmental trajectories in wild-type and cell identity mutants.

Authors:  Rachel Shahan; Che-Wei Hsu; Trevor M Nolan; Benjamin J Cole; Isaiah W Taylor; Laura Greenstreet; Stephen Zhang; Anton Afanassiev; Anna Hendrika Cornelia Vlot; Geoffrey Schiebinger; Philip N Benfey; Uwe Ohler
Journal:  Dev Cell       Date:  2022-02-07       Impact factor: 13.417

Review 9.  A Sight on Single-Cell Transcriptomics in Plants Through the Prism of Cell-Based Computational Modeling Approaches: Benefits and Challenges for Data Analysis.

Authors:  Aleksandr Bobrovskikh; Alexey Doroshkov; Stefano Mazzoleni; Fabrizio Cartenì; Francesco Giannino; Ulyana Zubairova
Journal:  Front Genet       Date:  2021-05-21       Impact factor: 4.599

Review 10.  Plant single-cell solutions for energy and the environment.

Authors:  Benjamin Cole; Dominique Bergmann; Crysten E Blaby-Haas; Ian K Blaby; Kristofer E Bouchard; Siobhan M Brady; Doina Ciobanu; Devin Coleman-Derr; Samuel Leiboff; Jenny C Mortimer; Tatsuya Nobori; Seung Y Rhee; Jeremy Schmutz; Blake A Simmons; Anup K Singh; Neelima Sinha; John P Vogel; Ronan C O'Malley; Axel Visel; Diane E Dickel
Journal:  Commun Biol       Date:  2021-08-12
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