Evidence map›Paper›PMID 39738550›Full record

ArticleScientific reports2024

Cross-species stability of reference genes in medicinal plants Arnica montana and Arnica chamissonis.

Magdalena Sozoniuk, Karolina Czapla, Danuta Sugier, Krzysztof Kowalczyk

Erratum issuedAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

5 · Who and what money

Authors and funding

4 authors.

Magdalena SozoniukInstitute of Plant Genetics, Breeding and Biotechnology, University of Life Sciences in Lublin, Akademicka Street 15, 20-950, Lublin, Poland.
Karolina CzaplaDepartment of Biochemistry and Molecular Biology, Medical University of Lublin, Chodźki 1, 20-093, Lublin, Poland. karolina.czapla@umlub.pl.
Danuta SugierDepartment of Industrial and Medicinal Plants, University of Life Sciences in Lublin, Akademicka Street 15, 20-950, Lublin, Poland.
Krzysztof KowalczykInstitute of Plant Genetics, Breeding and Biotechnology, University of Life Sciences in Lublin, Akademicka Street 15, 20-950, Lublin, Poland.

Funding

Narodowym Centrum Nauki MINIATURA5 (2021/05/X/NZ2/01665)
6 · The paper itself

Abstract

A better understanding of secondary metabolites biosynthesis requires comprehensive research at the molecular level. Although the medicinal importance of secondary metabolites extracted from Arnica spp. has been well documented, the very plants themselves have been poorly studied. Characterization of biosynthetic pathways and their complex regulatory mechanisms may be enhanced via transcriptomic approach. To ensure the reliability of data, RT-qPCR based gene expression studies should be preceded by the reference genes selection step. Here, ten candidate reference genes were analyzed in terms of their expression stability in developing flowers of two arnica species, Arnica montana and Arnica chamissonis. After evaluating their expression stability with four distinct algorithms (geNorm, NormFinder, BestKeeper and delta Ct method), we found that SKIP16 and F-box were the most stable reference genes in A. montana, whereas SAND and F-box were best-performing genes in A. chamissonis. On the other hand, ACT1 in combination with F-box could be used as internal control for cross-species investigations. This study will aid in further research on molecular mechanisms underlying the processes of flowering and secondary metabolites production in medicinal plants.

Indexed as

ArnicaGenes, PlantPlants, MedicinalFlowersGene Expression ProfilingGene Expression Regulation, PlantReference StandardsSpecies SpecificityArnicaFlower developmentGene expressionReference genesRT-qPCR

Identifiers

PMID39738550
PMCPMC11686183

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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.