Evidence map›Paper›PMID 42059630›Full record

ArticleTree physiology2026

FLIM-based detection of early wound-response signatures suggesting rooting hotspots in Argania spinosa.

Alexander Klaus, Sela Yechezkel, Eduard Belausov, Einat Sadot

Abstract read
In one paragraph

Article in Tree physiology, 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

4 authors.

Alexander KlausDepartment of Agroecology and Natural Resources, The Institute of Plant Sciences, Volcani Institute, ARO, 68 HaMaccabim Rd., Rishon LeZion 7528809, Israel.
Sela YechezkelDepartment of Agroecology and Natural Resources, The Institute of Plant Sciences, Volcani Institute, ARO, 68 HaMaccabim Rd., Rishon LeZion 7528809, Israel.
Eduard BelausovDepartment of Agroecology and Natural Resources, The Institute of Plant Sciences, Volcani Institute, ARO, 68 HaMaccabim Rd., Rishon LeZion 7528809, Israel.ORCID 0009-0007-1818-5452
Einat SadotDepartment of Agroecology and Natural Resources, The Institute of Plant Sciences, Volcani Institute, ARO, 68 HaMaccabim Rd., Rishon LeZion 7528809, Israel.ORCID 0000-0001-9331-7688

Funding

Binational Agricultural Research and Development FundMinistry of Agriculture of Israel 20-01-0072
6 · The paper itself

Abstract

Root regeneration from stems requires cells to reprogram their developmental trajectories. This reprogramming becomes possible when multiple factors converge at specific sites, ultimately giving rise to adventitious roots in what often appears to be a random pattern. Here, we asked whether such rooting `hotspots' could be detected by fluorescence-lifetime imaging microscopy. Using stem cuttings from a difficult-to-root Argan tree (Argania spinosa) clone, we examined wounded tissues by microscopy. Upon 440 nm illumination, discrete and asymmetric regions emerged in which fluorescence events with lifetimes below 2 ns increased within 3 h. Further, we show that similar lifetime signal appeared both around newly initiating root primordia and along what seemed to be their outward pathway through the stem tissues. These observations suggest that early, localized modifications in cell wall composition occur prior to visible root formation and may mark sites with the competence to initiate adventitious roots.

Indexed as

Plant RootsSapotaceaeCell WallMicroscopy, Fluorescenceadventitious rootArgania spinosacell wallfluorescence lifetimelignin

Identifiers

PMID42059630
PMCPMC13249074

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.