Evidence map›Paper›PMID 39789092›Full record

ArticleNature plants2025

Quantitative RNA pseudouridine maps reveal multilayered translation control through plant rRNA, tRNA and mRNA pseudouridylation.

Haoxuan Li, Guanqun Wang, Chang Ye, Zhongyu Zou, Bochen Jiang, Fan Yang, Kayla He, Chengwei Ju, Lisheng Zhang, Boyang Gao and 4 more

Erratum issuedAbstract read
In one paragraph

Article in Nature plants, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Emerging roles of non-mNature plants · 2026
    Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Haoxuan Li *Department of Chemistry, Department of Biochemistry and Molecular Biology, and Institute for Biophysical Dynamics, The University of Chicago, Chicago, IL, USA.ORCID 0000-0002-3486-3643
Guanqun Wang *Department of Chemistry, Department of Biochemistry and Molecular Biology, and Institute for Biophysical Dynamics, The University of Chicago, Chicago, IL, USA.ORCID 0000-0002-4465-9312
Chang Ye *Department of Chemistry, Department of Biochemistry and Molecular Biology, and Institute for Biophysical Dynamics, The University of Chicago, Chicago, IL, USA.ORCID 0000-0003-0236-5671
Zhongyu ZouDepartment of Chemistry, Department of Biochemistry and Molecular Biology, and Institute for Biophysical Dynamics, The University of Chicago, Chicago, IL, USA.
Bochen JiangDepartment of Chemistry, Department of Biochemistry and Molecular Biology, and Institute for Biophysical Dynamics, The University of Chicago, Chicago, IL, USA.ORCID 0000-0001-6686-8847
Fan YangDepartment of Chemistry, Department of Biochemistry and Molecular Biology, and Institute for Biophysical Dynamics, The University of Chicago, Chicago, IL, USA.
Kayla HeDepartment of Chemistry, Department of Biochemistry and Molecular Biology, and Institute for Biophysical Dynamics, The University of Chicago, Chicago, IL, USA.
Chengwei JuDepartment of Chemistry, Department of Biochemistry and Molecular Biology, and Institute for Biophysical Dynamics, The University of Chicago, Chicago, IL, USA.ORCID 0000-0002-2250-8548
Lisheng ZhangDepartment of Chemistry, Department of Biochemistry and Molecular Biology, and Institute for Biophysical Dynamics, The University of Chicago, Chicago, IL, USA.ORCID 0000-0003-1872-9978
Boyang GaoDepartment of Chemistry, Department of Biochemistry and Molecular Biology, and Institute for Biophysical Dynamics, The University of Chicago, Chicago, IL, USA.ORCID 0000-0002-6956-1450
Shun LiuDepartment of Chemistry, Department of Biochemistry and Molecular Biology, and Institute for Biophysical Dynamics, The University of Chicago, Chicago, IL, USA.
Yanming ChenDepartment of Chemistry, Department of Biochemistry and Molecular Biology, and Institute for Biophysical Dynamics, The University of Chicago, Chicago, IL, USA.
Jianhua ZhangDepartment of Biology, Hong Kong Baptist University and School of Life Sciences and State Key Laboratory of Agrobiotechnology, The Chinese University of Hong Kong, Hong Kong, China.ORCID 0000-0002-3819-2437
Chuan HeDepartment of Chemistry, Department of Biochemistry and Molecular Biology, and Institute for Biophysical Dynamics, The University of Chicago, Chicago, IL, USA. chuanhe@uchicago.edu.ORCID 0000-0003-4319-7424

Funding

Howard Hughes Medical Institute
6 · The paper itself

Abstract

Pseudouridine (Ψ) is the most abundant RNA modification, yet studies of Ψ have been hindered by a lack of robust methods to profile comprehensive Ψ maps. Here we utilize bisulfite-induced deletion sequencing to generate transcriptome-wide Ψ maps at single-base resolution across various plant species. Integrating ribosomal RNA, transfer RNA and messenger RNA Ψ stoichiometry with mRNA abundance and polysome profiling data, we uncover a multilayered regulation of translation efficiency through Ψ modifications. rRNA pseudouridylation could globally control translation, although the effects vary at different rRNA Ψ sites. Ψ in the tRNA T-arm loop shows strong positive correlations between Ψ stoichiometry and the translation efficiency of their respective codons. We observed a general inverse correlation between Ψ level and mRNA stability, but a positive correlation with translation efficiency in Arabidopsis seedlings. In conclusion, our study provides critical resources for Ψ research in plants and proposes prevalent translation regulation through rRNA, tRNA and mRNA pseudouridylation.

Indexed as

Protein BiosynthesisPseudouridineRNA, MessengerRNA, PlantRNA, RibosomalRNA, TransferArabidopsisPseudouridineRNA, MessengerRNA, PlantRNA, RibosomalRNA, Transfer

Identifiers

PMID39789092
PMCPMC12273003

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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.