Evidence map›Paper›PMID 42545830›Full record

ArticlePlant biotechnology journal2026

miR172-AP2 Controls Age-Dependent Regeneration Competence in Populus.

Kaiwen Lyu, Abdul Azeez, Victor Busov

Abstract read
In one paragraph

Article in Plant biotechnology journal, 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.

Kaiwen LyuCollege of Forest Resources and Environmental Science, Michigan Technological University, Houghton, Michigan, USA.
Abdul AzeezPowerPollen, Ames, Iowa, USA.
Victor BusovCollege of Forest Resources and Environmental Science, Michigan Technological University, Houghton, Michigan, USA.ORCID https://orcid.org/0000-0003-2344-1581

Funding

the U.S. Department of Energy Genomics-Enabled Plant Biology for Determination of Gene Function program 117387-Z7159201U.S. Department of Agriculture's National Institute of Food and Agriculture 2021-07574
6 · The paper itself

Abstract

Plants maintain remarkable regenerative potential, yet this capacity declines with developmental age, limiting clonal propagation and biotechnological applications. Here, we show that the miR172-AP2 module serves as a central determinant of regeneration competence in Populus. Regenerative capacity declines progressively along the shoot developmental gradient, correlating with elevated miR172 and reduced AP2 transcript levels. Functional analyses demonstrate that AP2 promotes both shoot and root regeneration by directly activating downstream transcriptional programmes, including AINTEGUMENTA-LIKE1, BIG LEAF and LIKE APETALA1, which regulate organogenic growth and developmental competence. Elevated miR172 or cytokinin signalling represses AP2, reducing regenerative outcomes, indicating that hormonal and developmental signals converge on this module. Genome-wide analyses reveal that AP2 coordinates a broad network of genes controlling wound response, hormone signalling and cell fate specification. Notably, enhanced regeneration via AP2 occurs without detectable developmental abnormalities, highlighting the practical potential of this module. Collectively, these findings uncover a mechanistic link between developmental phase identity and regeneration, revealing a conserved regulatory module that may be leveraged to enhance regeneration across plant species, with broad implications for propagation, tissue culture and biotechnology.

Indexed as

developmental phase transitionmiR172‐AP2 moduleplant regenerationPopulusregeneration competencetranscriptional regulation

Identifiers

PMID42545830
PMCPMC13431242

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.