Evidence map›Paper›PMID 41214051›Full record

ArticleScientific reports2025

miRNA-targeted auxin nuclear signalling elements orchestrate flower fate and drought response in yellow lupine.

Milena Kulasek, Paulina Glazińska

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

2 authors.

Milena KulasekDepartment of Genetics, Faculty of Biological and Veterinary Sciences, Nicolaus Copernicus University in Toruń, Toruń, Poland. milena.kulasek@umk.pl.ORCID http://orcid.org/0000-0002-4509-6777
Paulina GlazińskaCentre for Modern Interdisciplinary Technologies, Nicolaus Copernicus University in Toruń, Toruń, Poland.ORCID http://orcid.org/0000-0002-8299-2976

Funding

The National Science Centre, Poland PRELUDIUM grant No. 2017/25/N/NZ3/00524
6 · The paper itself

Abstract

Yellow lupine (Lupinus luteus L.) is a promising protein crop, but domestication has increased flower abscission. Flowers in higher whorls are more likely to abscise, providing a model to study factors influencing flower fate before abscission zone formation. We hypothesise that auxin localisation and miRNA-modulated signal transduction orchestrate flower development and abscission, particularly under drought. We investigated the indole-3-acetic acid (IAA) distribution in ovules and tested the effects of IAA, NPA (auxin transport inhibitor), and PCIB (auxin signalling blocker) on flower retention. Bioinformatic analyses of transcriptome data profiled miRNA-regulated auxin pathway elements (TIR1/AFBs, ARFs), with domain structures analysed for functional divergence. Selected miRNA-mRNA modules were analysed for their role in inflorescence drought response. IAA accumulation exhibited slight differences in upper pre-anthesis flowers. In the field experiment, PCIB treatment led to increased retention of generative organs, suggesting the vital role of auxin nuclear signalling in flower fate. Bioinformatic analyses identified miRNAs (MIR393, MIR160, MIR167, one novel) regulating TIR1/AFB and ARF6,8,17,18. qPCR revealed the differential expression of AFB3-, ARF6-, and ARF18-encoding transcripts and corresponding miR393, miR167, and miR160 during flower development and drought stress. However, miRNA-target expression lacked a strictly negative correlation, indicating other regulating players.

Indexed as

DroughtsFlowersIndoleacetic AcidsLupinusMicroRNAsSignal TransductionGene Expression Regulation, PlantPlant ProteinsIndoleacetic AcidsMicroRNAsPlant ProteinsARFDroughtIAALupinus luteusmiRNATIR1/AFB

Identifiers

PMID41214051
PMCPMC12603313

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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.