Evidence map›Paper›PMID 39982558›Full record

ArticlePlant cell reports2025

Strigolactone and karrikin receptors regulate phytohormone biosynthetic and catabolic processes.

Liangliang Li, Aarti Gupta, Chenbo Zhu, Kun Xu, Yasuko Watanabe, Maho Tanaka, Motoaki Seki, Keiichi Mochida, Yuri Kanno, Mitsunori Seo and 8 more

Abstract read
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In one paragraph

Article in Plant cell reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
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  4. Review
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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.

Liangliang Li *State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102, China.
Aarti Gupta *Department of Botany, Dr. Harisingh Gour Vishwavidyalaya (A Central University), Sagar, Madhya Pradesh, 470003, India.
Chenbo Zhu *State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102, China.
Kun XuState Key Laboratory of Black Soils Conservation and Utilization, 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.
Maho TanakaRIKEN Center for Sustainable Resource Science, Plant Genomic Network Research Team, Yokohama, Japan.
Motoaki SekiRIKEN Center for Sustainable Resource Science, Plant Genomic Network Research Team, Yokohama, Japan.
Keiichi MochidaBioproductivity Informatics Research Team, RIKEN Center for Sustainable Resource Science, 1-7-22 Suehiro-Cho, Tsurumi, Yokohama, 230-0045, Japan.
Yuri KannoDormancy and Adaptation Research Unit, RIKEN Center for Sustainable Resource Science, 1-7-22, Suehiro-Cho, Tsurumi, Yokohama, 230-0045, Japan.
Mitsunori SeoDormancy and Adaptation Research Unit, RIKEN Center for Sustainable Resource Science, 1-7-22, Suehiro-Cho, Tsurumi, Yokohama, 230-0045, Japan.
Kien Huu NguyenDepartment of Genetic Engineering, Agricultural Genetics Institute, Vietnam Academy of Agricultural Sciences, Pham-Van-Dong Str., Hanoi, 100000, Vietnam.
Cuong Duy TranDepartment of Genetic Engineering, Agricultural Genetics Institute, Vietnam Academy of Agricultural Sciences, Pham-Van-Dong Str., Hanoi, 100000, Vietnam.
Ha Duc ChuFaculty of Agricultural Technology, University of Engineering and Technology, Vietnam National University, Hanoi, 122300, Vietnam.
Hengxia YinState Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining, 810016, China.
Kun-Peng JiaState Key Laboratory of Cotton Biology, Henan Joint International Laboratory for Crop Multi-Omics Research, Department of Life Sciences, Henan University, Kaifeng, China.
Lam-Son Phan TranDepartment of Plant and Soil Science, Institute of Genomics for Crop Abiotic Stress Tolerance, Texas Tech University, Lubbock, TX, 79409, USA. son.tran@ttu.edu.
Xiaojian YinState Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102, China. Yinxiaojian@iga.ac.cn.
Weiqiang LiState Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102, China. liweiqiang@iga.ac.cn.ORCID http://orcid.org/0000-0002-2324-0387

Funding

National Key Research and Development Program of China 2022YFD1500505Natural Science Foundation of Jilin Province 32370321State Key Laboratory of Microbial Resources, Chinese Academy of Sciences XDA28110100
6 · The paper itself

Abstract

key messageKarrikin plays a more critical role in affecting the homeostasis of ABA and cytokinins, while strigolactones play a more critical role in influencing the homeostasis of jasmonic acid and gibberellins. Strigolactones (SLs) and karrikins (KARs) regulate plant growth and development through their crosstalk, and through the crosstalk between them and other phytohormones, such as abscisic acid (ABA) and auxin. However, how SL and KAR signaling pathways influence the levels of other phytohormones is still unknown. Here, we performed a comparative transcriptome analysis of the Arabidopsis thaliana double mutant dwarf14 karrikin-insensitive 2 (d14 kai2), deficient in SL and KAR perception, and the wild-type (WT) using their rosette leaves. Ten gene ontology terms related to phytohormones were enriched with differentially expressed genes derived from the 'd14 kai2 vs WT' comparison. Our data revealed that the levels of auxin, ABA and salicylic acid (SA) were higher in d14 and kai2 single and d14 kai2 mutant plants than in WT, which was consistent with the results of previous investigations. In contrast, the levels of cytokinins (CKs) were found to be lower in all single and double mutants than in WT. The levels of active gibberellins were lower in d14 and d14 kai2 mutants than in WT, while they were comparable in kai2 and WT plants. Similarly, the levels of jasmonic acid (JA) were lower in d14 and d14 kai2 plants, but higher in kai2 plants than in WT. Both transcriptome and qRT-PCR analyses indicated that SL and KAR signaling pathways affect the levels of auxin, SA, CKs, gibberellin 4 (GA

Indexed as

ArabidopsisArabidopsis ProteinsFuransHeterocyclic Compounds, 3-RingLactonesPlant Growth RegulatorsPyransAbscisic AcidCyclopentanesCytokininsGene Expression ProfilingGene Expression Regulation, PlantGenes, PlantGenotypeHydrolasesIndoleacetic Acids3-methyl-2H-furo(2,3-c)pyran-2-oneAbscisic AcidArabidopsis ProteinsCyclopentanesCytokininsDWARF14 protein, ArabidopsisFuransGR24 strigolactoneHeterocyclic Compounds, 3-RingHTL protein, ArabidopsisHydrolasesIndoleacetic Acidsjasmonic acidLactonesOxylipinsPlant Growth RegulatorsPyransReceptors, Cell SurfaceD14KAI2KarrikinsMetabolic genesPhytohormonesStrigolactones

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Registered trials

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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.