Evidence map›Paper›PMID 36482454›Full record

ArticleBMC biology2022

Chromatin accessibility illuminates single-cell regulatory dynamics of rice root tips.

Dan Feng, Zhe Liang, Yifan Wang, Jiaying Yao, Zan Yuan, Guihua Hu, Ruihong Qu, Shang Xie, Dongwei Li, Liwen Yang and 4 more

Abstract read
In one paragraph

Article in BMC biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed.

  1. Review
  2. Review
  3. Single-cell insights into plant growth, adaptation, and evolution.Journal of integrative plant biology · 2026
    Review
  4. Review
  5. Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Using Callus as an Ex Vivo System for Chromatin Analysis.Methods in molecular biology (Clifton, N.J.) · 2025
    Review
  17. Review
  18. Review
  19. Review
  20. Single-Cell Transcriptome Atlas and Regulatory Dynamics in Developing Cotton Anthers.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Dan Feng *Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Zhe Liang *Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, 100081, China. liangzhe@caas.cn.
Yifan WangBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Jiaying YaoAnnoroad Gene Technology, Beijing, 100176, China.
Zan YuanAnnoroad Gene Technology, Beijing, 100176, China.
Guihua HuBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Ruihong QuBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Shang XieBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Dongwei LiBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Liwen YangBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Xinai ZhaoCentre for Organismal Studies, Heidelberg University, 69120, Heidelberg, Germany.
Yanfei MaCentre for Organismal Studies, Heidelberg University, 69120, Heidelberg, Germany.
Jan U LohmannCentre for Organismal Studies, Heidelberg University, 69120, Heidelberg, Germany. jan.lohmann@cos.uni-heidelberg.de.
Xiaofeng GuBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, 100081, China. guxiaofeng@caas.cn.ORCID 0000-0003-1127-4261

Funding

Central Public-interest Scientific Institution Basal Research Fund, Chinese Academy of Fishery Sciences No.Y2020PT06ERC Synergy grant 810296National Transgenic Major Program 2019ZX08010-002
6 · The paper itself

Abstract

backgroundRoot development and function have central roles in plant adaptation to the environment. The modification of root traits has additionally been a major driver of crop performance since the green revolution; however, the molecular underpinnings and the regulatory programmes defining root development and response to environmental stress remain largely unknown. Single-cell reconstruction of gene regulatory programmes provides an important tool to understand the cellular phenotypic variation in complex tissues and their response to endogenous and environmental stimuli. While single-cell transcriptomes of several plant organs have been elucidated, the underlying chromatin landscapes associated with cell type-specific gene expression remain largely unexplored.

resultsTo comprehensively delineate chromatin accessibility during root development of an important crop, we applied single-cell ATAC-seq (scATAC-seq) to 46,758 cells from rice root tips under normal and heat stress conditions. Our data revealed cell type-specific accessibility variance across most of the major cell types and allowed us to identify sets of transcription factors which associate with accessible chromatin regions (ACRs). Using root hair differentiation as a model, we demonstrate that chromatin and gene expression dynamics during cell type differentiation correlate in pseudotime analyses. In addition to developmental trajectories, we describe chromatin responses to heat and identify cell type-specific accessibility changes to this key environmental stimulus.

conclusionsWe report chromatin landscapes during rice root development at single-cell resolution. Our work provides a framework for the integrative analysis of regulatory dynamics in this important crop organ at single-cell resolution.

Indexed as

MeristemOryzaChromatinChromatinCell typeChromatin accessibilityDevelopmental trajectoryEnvironmental stimulusRiceRootscATAC-seq

Identifiers

PMID36482454
PMCPMC9733338

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.