Evidence map›Paper›PMID 42669725›Full record

ArticleNature communications2026

Cell-type specific early perception of nine phytohormones revealed by single-nucleus transcriptomics in Arabidopsis.

Zhijian Liu, Zhuowen Li, Yuzhuo Wang, Yanping Long, Hongming Zhao, Yuwei Qin, Xinlong Zhu, Hongwei Guo, Kai Jiang, Jixian Zhai

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Zhijian Liu *Key Laboratory of Molecular Epigenetics of Ministry of Education, Northeast Normal University, Changchun, China.ORCID 0009-0003-3836-7377
Zhuowen Li *Shenzhen Key Laboratory of Plant Genetic Engineering and Molecular Design, Institute of Plant and Food Science, Department of Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China.
Yuzhuo Wang *Yunnan Key Laboratory of Cell Metabolism and Diseases, Center for Life Science and School of Life Sciences, Yunnan University, Kunming, China.
Yanping Long *Shenzhen Key Laboratory of Plant Genetic Engineering and Molecular Design, Institute of Plant and Food Science, Department of Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China.ORCID 0000-0003-4512-0594
Hongming ZhaoShenzhen Key Laboratory of Plant Genetic Engineering and Molecular Design, Institute of Plant and Food Science, Department of Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China.ORCID 0009-0000-4942-9738
Yuwei QinShenzhen Key Laboratory of Plant Genetic Engineering and Molecular Design, Institute of Plant and Food Science, Department of Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China.
Xinlong ZhuShenzhen Key Laboratory of Plant Genetic Engineering and Molecular Design, Institute of Plant and Food Science, Department of Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China.
Hongwei GuoShenzhen Key Laboratory of Plant Genetic Engineering and Molecular Design, Institute of Plant and Food Science, Department of Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China. guohw@sustech.edu.cn.ORCID 0000-0003-4819-5874
Kai JiangYunnan Key Laboratory of Cell Metabolism and Diseases, Center for Life Science and School of Life Sciences, Yunnan University, Kunming, China. jiangk@ynu.edu.cn.ORCID 0000-0001-9901-5293
Jixian ZhaiShenzhen Key Laboratory of Plant Genetic Engineering and Molecular Design, Institute of Plant and Food Science, Department of Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China. zhaijx@sustech.edu.cn.ORCID 0000-0002-0217-0666

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plant development and stress responses are coordinated through phytohormone-mediated gene networks, yet resolving their spatiotemporal crosstalk remains challenging. Here, we generate a single-nucleus transcriptomic atlas of Arabidopsis seedlings, capturing early (0.5 h, 3 h) responses to 9 hormones across ~500,000 nuclei, including auxin, cytokinin, ABA, gibberellin, strigolactone, brassinosteroid, ethylene, JA, and SA. Within this window, most hormones showed rapid and cell-type-specific responses, whereas JA, SA, ABA showed more sustained and convergent responses by 3 h. Co-directional transcriptomic overlap was strongest at 0.5 h, while the JA-, SA-, and ABA-related responses showed the highest overlap at 3 h. Pathway-level analysis indicated asymmetric relationships among JA, SA, and ABA across biosynthetic and catabolic layers. Spatially, transcriptomic response overlap separated shoots from other tissues, with guard cells as shoot-side outliers showing weak JA-SA-ABA overlap. We further identified an SA-induced guard-cell-specific MYB60-centered module linked to ABA-associated stomatal regulators, suggesting a circuit that may fine-tune stomatal dynamics. Together, this atlas provides a high-resolution view of phytohormone response dynamics and interactions.

Indexed as

ArabidopsisCell NucleusPlant Growth RegulatorsTranscriptomeAbscisic AcidArabidopsis ProteinsGene Expression ProfilingGene Expression Regulation, PlantSeedlingsSingle-Cell Gene Expression AnalysisAbscisic AcidArabidopsis ProteinsPlant Growth Regulators

Identifiers

PMID42669725
PMCPMC13526831

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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.