Evidence map›Paper›PMID 40926411›Full record

ArticlePlant communications2025

Hydroxylation of HPPD facilitates its PUB11-mediated ubiquitination and degradation in response to oxidative stress in Arabidopsis.

Xin-He Yu, Xun Wen, Jiangqing Dong, Ya-Fang Hu, Xin-Long Wang, Dan-Yi Zhu, Qihua Ling, Hong-Yan Lin, Guang-Fu Yang

Abstract read
In one paragraph

Article in Plant communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Xin-He YuState Key Laboratory of Green Pesticide, Central China Normal University, Wuhan 430079, P.R. China; International Joint Research Center for Intelligent Biosensor Technology and Health, Central China Normal University, Wuhan 430079, P.R. China.
Xun WenState Key Laboratory of Green Pesticide, Central China Normal University, Wuhan 430079, P.R. China; International Joint Research Center for Intelligent Biosensor Technology and Health, Central China Normal University, Wuhan 430079, P.R. China.
Jiangqing DongHubei Shizhen Laboratory, Wuhan 430061, P.R. China; School of Basic Medical Sciences, Hubei University of Chinese Medicine, Wuhan 430065, P.R. China.
Ya-Fang HuState Key Laboratory of Green Pesticide, Central China Normal University, Wuhan 430079, P.R. China; International Joint Research Center for Intelligent Biosensor Technology and Health, Central China Normal University, Wuhan 430079, P.R. China.
Xin-Long WangState Key Laboratory of Green Pesticide, Central China Normal University, Wuhan 430079, P.R. China; International Joint Research Center for Intelligent Biosensor Technology and Health, Central China Normal University, Wuhan 430079, P.R. China.
Dan-Yi ZhuState Key Laboratory of Green Pesticide, Central China Normal University, Wuhan 430079, P.R. China; International Joint Research Center for Intelligent Biosensor Technology and Health, Central China Normal University, Wuhan 430079, P.R. China.
Qihua LingKey Laboratory of Plant Carbon Capture, CAS Centre for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200032, China; CAS-JIC Center of Excellence for Plant and Microbial Sciences (CEPAMS), Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200032, China. Electronic address: qhling@cemps.ac.cn.
Hong-Yan LinState Key Laboratory of Green Pesticide, Central China Normal University, Wuhan 430079, P.R. China; International Joint Research Center for Intelligent Biosensor Technology and Health, Central China Normal University, Wuhan 430079, P.R. China. Electronic address: hylin@ccnu.edu.cn.
Guang-Fu YangState Key Laboratory of Green Pesticide, Central China Normal University, Wuhan 430079, P.R. China; International Joint Research Center for Intelligent Biosensor Technology and Health, Central China Normal University, Wuhan 430079, P.R. China. Electronic address: gfyang@ccnu.edu.cn.

Funding

Non-US Government Research Support type
6 · The paper itself

Abstract

4-Hydroxyphenylpyruvate dioxygenase (HPPD) is critical for plant photosynthesis and essential for enhancing tolerance to oxidative stress. However, the precise mechanisms by which plants regulate HPPD in response to oxidative stress remain largely unknown. Here, we show that Arabidopsis thaliana HPPD (AtHPPD) undergoes a previously uncharacterized post-translational modification-phenylalanine hydroxylation-in response to excessive hydroxyl radicals (·OH), thereby mediating oxidative stress tolerance. Biochemical analyses revealed that this hydroxylation impairs the normal function of AtHPPD, accelerating its degradation. We further identified PUB11 as a key interactor of AtHPPD. Both in vitro and in vivo assays demonstrated that this interaction is enhanced under oxidative stress, promoting ubiquitination and facilitating rapid AtHPPD degradation via the 26S proteasome to maintain reactive oxygen species homeostasis. Overall, this work uncovers a novel mechanism by which plants balance photosynthetic efficiency with the repair of oxidative damage, identifies key processes in oxidative stress regulation, and provides a foundation for breeding crops with improved resilience to abiotic stress.

Indexed as

4-Hydroxyphenylpyruvate DioxygenaseArabidopsisArabidopsis ProteinsOxidative StressHydroxylationReactive Oxygen SpeciesUbiquitination4-Hydroxyphenylpyruvate DioxygenaseArabidopsis ProteinsReactive Oxygen Species4-hydroxyphenylpyruvate dioxygenaseHPPDhydroxylationoxidative stressubiquitination

Identifiers

PMID40926411
PMCPMC12785156

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.