Evidence map›Paper›PMID 33547533›Full record

ArticleMolecular biology reports2021

Validation of reference genes for quantitative gene expression in the Lippia alba polyploid complex (Verbenaceae).

Juliana Mainenti Leal Lopes, Elyabe Monteiro de Matos, Laís Stehling de Queiroz Nascimento, Lyderson Facio Viccini

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Article in Molecular biology reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 34% of its field
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

3 citing papers in PubMed, 9 citations in OpenAlex.

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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 at 1 institution in 1 country.

Juliana Mainenti Leal LopesDepartamento de Biologia, Instituto de Ciências Biológicas, Universidade Federal de Juiz de Fora (UFJF), Juiz de Fora, Minas Gerais, 36036-900, Brazil.
Elyabe Monteiro de MatosDepartamento de Biologia, Instituto de Ciências Biológicas, Universidade Federal de Juiz de Fora (UFJF), Juiz de Fora, Minas Gerais, 36036-900, Brazil.
Laís Stehling de Queiroz NascimentoDepartamento de Biologia, Instituto de Ciências Biológicas, Universidade Federal de Juiz de Fora (UFJF), Juiz de Fora, Minas Gerais, 36036-900, Brazil.
Lyderson Facio VicciniDepartamento de Biologia, Instituto de Ciências Biológicas, Universidade Federal de Juiz de Fora (UFJF), Juiz de Fora, Minas Gerais, 36036-900, Brazil. lyderson.viccini@icb.ufjf.br.
Universidade Federal de Juiz de Fora · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lippia alba (Verbenaceae) is one of the most studied species of the genus Lippia, mainly due to its medicinal properties. The species was described as a polyploid complex with five cytotypes. The comparison of gene expression in species with several ploidal levels needs to be conducted carefully due to possible changes in gene regulation. Quantitative reverse transcription PCR (qRT-PCR) is a widely used method for transcript abundance analyses in plants. Besides being an extremely powerful technique, relative quantification by Real-Time quantitative PCR (RT-qPCR) needs the normalization with a stable reference gene. We evaluated the stability of nine candidate reference genes in Lippia alba with different ploidal levels using NormFinder, geNorm, and RefFinder software. The product of each primer showed a single peak in the melting curve. The R

Indexed as

Reference StandardsGene Expression ProfilingGene Expression Regulation, PlantLippiaPolyploidyReal-Time Polymerase Chain ReactionGene stabilityHousekeeping genesMedicinal plantsPolyploidyRT-qPCRTarget gene

Identifiers

PMID33547533
OpenAlexW3127295011

What OpenQuestion holds

Textmetadata
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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.