Evidence map›Paper›PMID 35590269›Full record

ArticleBMC plant biology2022

Overexpression of AHL9 accelerates leaf senescence in Arabidopsis thaliana.

Yusen Zhou, Xiaomin Zhang, Jing Chen, Xiaopeng Guo, Hongyan Wang, Weibo Zhen, Junli Zhang, Zhubing Hu, Xuebing Zhang, José Ramón Botella and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.1field-weighted citation impact, top 12% of its field
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

9 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Cloning, Expression and Functional Study ofPlants (Basel, Switzerland) · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Genome-wide analysis of radishFrontiers in plant science · 2024
    Article
  7. Article
  8. Article
  9. Know when and how to die: gaining insights into the molecular regulation of leaf senescence.Physiology and molecular biology of plants : an international journal of functional plant biology · 2022
    Review
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

12 authors at 4 institutions in 3 countries.

Yusen Zhou *State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, 475004, China.
Xiaomin Zhang *State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, 475004, China.
Jing Chen *State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, 475004, China.
Xiaopeng GuoState Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, 475004, China.
Hongyan WangState Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, 475004, China.
Weibo ZhenState Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, 475004, China.
Junli ZhangState Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, 475004, China.
Zhubing HuState Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, 475004, China.
Xuebing ZhangState Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, 475004, China.
José Ramón BotellaPlant Genetic Engineering Laboratory, School of Agriculture and Food Sciences, The University of Queensland, Brisbane, Queensland, 4072, Australia.
Toshiro ItoDivision of Biological Science, Nara Institute of Science and Technology, Ikoma, Nara, 630-0192, Japan. itot@bs.naist.jp.
Siyi GuoState Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, 475004, China. guosiyi@henu.edu.cn.
State Key Laboratory of Cotton BiologyHenan University · CNNara Institute of Science and Technology · JPUniversity of Queensland · AU

Funding

Natural Science Foundation of China 31671517Program for Innovative Research Team (in Science and Technology) in University of Henan Province 111 Project#D16014
6 · The paper itself

Abstract

backgroundLeaf senescence, the final stage of leaf growth and development, is regulated by numerous internal factors and environmental cues. Ethylene is one of the key senescence related hormones, but the underlying molecular mechanism of ethylene-induced leaf senescence remains poorly understood.

resultsIn this study, we identified one AT-hook like (AHL) protein, AHL9, as a positive regulator of leaf senescence in Arabidopsis thaliana. Overexpression of AHL9 significantly accelerates age-related leaf senescence and promotes dark-induced leaf chlorosis. The early senescence phenotype observed in AHL9 overexpressing lines is inhibited by the ethylene biosynthesis inhibitor aminooxyacetic acid suggesting the involvement of ethylene in the AHL9-associated senescence. RNA-seq and quantitative reverse transcription PCR (qRT-PCR) data identified numerous senescence-associated genes differentially expressed in leaves of AHL9 overexpressing transgenic plants.

conclusionsOur investigation demonstrates that AHL9 functions in accelerating the leaf senescence process via ethylene synthesis or signalling.

Indexed as

ArabidopsisArabidopsis ProteinsEthylenesGene Expression Regulation, PlantPlant LeavesPlant SenescencePlants, Genetically ModifiedTranscription FactorsArabidopsis ProteinsEthylenesTranscription FactorsArabidopsis thalianaAT-hook like proteinsEthyleneLeaf senescenceTranscription regulation

Identifiers

PMID35590269
PMCPMC9118680
OpenAlexW4280538847

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.