Evidence map›Paper›PMID 42116237›Full record

ArticlePlant signaling & behavior2026

MicroRNA858a antagonistically regulates plant response to concurrent biotic and abiotic stresses.

Zheng Zhou, Peiwu Li, Daguang Cai

Abstract read
In one paragraph

Article in Plant signaling & behavior, 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

3 authors.

Zheng ZhouBiomanufacturing Institute, Xianghu Laboratory, Hangzhou, China.ORCID 0000-0002-9614-5751
Peiwu LiBiomanufacturing Institute, Xianghu Laboratory, Hangzhou, China.ORCID 0000-0002-7521-9918
Daguang CaiDepartment of Molecular Phytopathology and Biotechnology, Institute of Phytopathology, Christian-Albrechts University of Kiel, Kiel, Germany.ORCID 0000-0002-1816-6389

Funding

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

Abstract

Plants face various environmental stresses and have developed sophisticated adaptive mechanisms to cope with constraints. miR858a targets transcription factor (TF) MYB111 and has proven to be a key regulator in modulating plant responses to biotic and abiotic stresses. However, its transcriptional regulation and the underlying mechanisms remain unresolved. To this end, we performed the yeast one-hybrid (Y1H) assay using the miR858a promoter against an Arabidopsis transcription factor library. In this way, we identified 32 TFs that specifically interact with the miR858a promoter. By analysing expression profiles of candidate TFs under different stress conditions, mimicked by flg22, UV-B, and co-treatment of flg22/UV-B treatments, we prioritized candidate TFs, including five flg22-responsive TFs (ERF73, bZIP63, NF-YC6, AL7, and AIN1) and one UV-B-responsive TF, MYBD. Our data show that miR858a is antagonistically regulated by distinct stress-responsive TFs and by their interplay, thus highlighting, for the first time, a crucial role of miRNAs and their expression regulation in plant responses to diverse stress factors. These findings provide deeper insights into the mechanisms by which plants adapt to changing environments and offer valuable traits and approaches for breeding crops resistant to various concurrent stress factors.

Indexed as

ArabidopsisMicroRNAsStress, PhysiologicalArabidopsis ProteinsGene Expression Regulation, PlantPromoter Regions, GeneticTranscription FactorsArabidopsis ProteinsMicroRNAsMirn858 microRNA, ArabidopsisTranscription Factorsflg22gene regulationMicroRNAtranscription factorUV-B signalingyeast one-hybrid

Identifiers

PMID42116237
PMCPMC13170379

What OpenQuestion holds

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LicenceCC BY
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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.