Evidence map›Paper›PMID 35822606›Full record

ArticlePlant physiology2022

KARRIKIN UPREGULATED F-BOX 1 negatively regulates drought tolerance in Arabidopsis.

Hongtao Tian, Yasuko Watanabe, Kien Huu Nguyen, Cuong Duy Tran, Mostafa Abdelrahman, Xiaohan Liang, Kun Xu, Claudia Sepulveda, Mohammad Golam Mostofa, Chien Van Ha and 8 more

Open access · bronzeAbstract read
In one paragraph

Article in Plant physiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
4.2field-weighted citation impact, top 7% 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

11 citing papers in PubMed, 24 citations in OpenAlex.

  1. Negative feedback regulation of karrikin signaling inProceedings of the National Academy of Sciences of the United States of America · 2026
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  2. SPlant biotechnology journal · 2026
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  6. How the Ectopic Expression of the BarleyInternational journal of molecular sciences · 2025
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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

18 authors at 8 institutions in 5 countries.

Hongtao TianJilin Da'an Agro-ecosystem National Observation Research Station, Changchun Jingyuetan Remote Sensing Experiment Station, Key Laboratory of Mollisols Agroecology, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China.
Yasuko WatanabeBioproductivity Informatics Research Team, RIKEN Center for Sustainable Resource Science, 1-7-22 Suehiro-cho, Tsurumi, Yokohama 230-0045, Japan.
Kien Huu NguyenNational Key Laboratory for Plant Cell Biotechnology, Agricultural Genetics Institute, Vietnam Academy of Agricultural Science, Pham-Van-Dong Str., Hanoi, 100000, Vietnam.ORCID 0000-0003-3172-3503
Cuong Duy TranNational Key Laboratory for Plant Cell Biotechnology, Agricultural Genetics Institute, Vietnam Academy of Agricultural Science, Pham-Van-Dong Str., Hanoi, 100000, Vietnam.ORCID 0000-0001-9462-4276
Mostafa AbdelrahmanBotany Department, Faculty of Science, Aswan University, Aswan 81528, Egypt.ORCID 0000-0002-6733-8423
Xiaohan LiangState Key Laboratory of Cotton Biology, Henan Joint International Laboratory for Crop Multi-Omics Research, School of Life Sciences, Henan University, No. 85 Jinming Road, Kaifeng 475004, China.
Kun XuState Key Laboratory of Cotton Biology, Henan Joint International Laboratory for Crop Multi-Omics Research, School of Life Sciences, Henan University, No. 85 Jinming Road, Kaifeng 475004, China.ORCID 0000-0002-7812-7760
Claudia SepulvedaDepartment of Botany & Plant Sciences, University of California, Riverside, California 92521, USA.ORCID 0000-0001-6044-9852
Mohammad Golam MostofaInstitute of Genomics for Crop Abiotic Stress Tolerance, Texas Tech University, Lubbock, Texas 79409, USA.ORCID 0000-0002-4259-2361
Chien Van HaInstitute of Genomics for Crop Abiotic Stress Tolerance, Texas Tech University, Lubbock, Texas 79409, USA.
David C NelsonDepartment of Botany & Plant Sciences, University of California, Riverside, California 92521, USA.ORCID 0000-0001-9792-5015
Keiichi MochidaBioproductivity Informatics Research Team, RIKEN Center for Sustainable Resource Science, 1-7-22 Suehiro-cho, Tsurumi, Yokohama 230-0045, Japan.ORCID 0000-0003-1299-0024
Chunjie TianJilin Da'an Agro-ecosystem National Observation Research Station, Changchun Jingyuetan Remote Sensing Experiment Station, Key Laboratory of Mollisols Agroecology, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China.ORCID 0000-0003-1792-6005
Maho TanakaPlant Genomic Network Research Team, RIKEN Center for Sustainable Resource Science, Yokohama, Japan.ORCID 0000-0002-0648-5729
Motoaki SekiPlant Genomic Network Research Team, RIKEN Center for Sustainable Resource Science, Yokohama, Japan.ORCID 0000-0001-8288-0467
Yuchen MiaoState Key Laboratory of Cotton Biology, Henan Joint International Laboratory for Crop Multi-Omics Research, School of Life Sciences, Henan University, No. 85 Jinming Road, Kaifeng 475004, China.ORCID 0000-0002-4339-1238
Lam-Son Phan TranInstitute of Genomics for Crop Abiotic Stress Tolerance, Texas Tech University, Lubbock, Texas 79409, USA.ORCID 0000-0001-9883-9768
Weiqiang LiJilin Da'an Agro-ecosystem National Observation Research Station, Changchun Jingyuetan Remote Sensing Experiment Station, Key Laboratory of Mollisols Agroecology, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China.ORCID 0000-0002-2324-0387
Henan University · CNRIKEN Center for Sustainable Resource Science · JPTexas Tech University · USAgricultural Genetics Institute · VNUniversity of California, Riverside · USChinese Academy of Sciences · CNGalala UniversityKihara Institute for Biological Research · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The karrikin (KAR) receptor and several related signaling components have been identified by forward genetic screening, but only a few studies have reported on upstream and downstream KAR signaling components and their roles in drought tolerance. Here, we characterized the functions of KAR UPREGULATED F-BOX 1 (KUF1) in drought tolerance using a reverse genetics approach in Arabidopsis (Arabidopsis thaliana). We observed that kuf1 mutant plants were more tolerant to drought stress than wild-type (WT) plants. To clarify the mechanisms by which KUF1 negatively regulates drought tolerance, we performed physiological, transcriptome, and morphological analyses. We found that kuf1 plants limited leaf water loss by reducing stomatal aperture and cuticular permeability. In addition, kuf1 plants showed increased sensitivity of stomatal closure, seed germination, primary root growth, and leaf senescence to abscisic acid (ABA). Genome-wide transcriptome comparisons of kuf1 and WT rosette leaves before and after dehydration showed that the differences in various drought tolerance-related traits were accompanied by differences in the expression of genes associated with stomatal closure (e.g. OPEN STOMATA 1), lipid and fatty acid metabolism (e.g. WAX ESTER SYNTHASE), and ABA responsiveness (e.g. ABA-RESPONSIVE ELEMENT 3). The kuf1 mutant plants had higher root/shoot ratios and root hair densities than WT plants, suggesting that they could absorb more water than WT plants. Together, these results demonstrate that KUF1 negatively regulates drought tolerance by modulating various physiological traits, morphological adjustments, and ABA responses and that the genetic manipulation of KUF1 in crops is a potential means of enhancing their drought tolerance.

Indexed as

ArabidopsisArabidopsis ProteinsAbscisic AcidDroughtsFuransGene Expression Regulation, PlantPlants, Genetically ModifiedPlant StomataPyransStress, PhysiologicalWater3-methyl-2H-furo(2,3-c)pyran-2-oneAbscisic AcidArabidopsis ProteinsFuransPyransWater

Identifiers

PMID35822606
PMCPMC9706471
OpenAlexW4285083865

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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.