Evidence map›Paper›PMID 41238620›Full record

ArticleScientific reports2025

Evaluation and validation of reference genes for RT-qPCR normalization in different sweet potato tissues.

Melissa Barbosa Fonseca Moraes, Matheus Martins Daúde, Kellen Kauanne Pimenta de Oliveira, Rogério Cavalcante Gonçalves, Solange Aparecida Ságio, André Almeida Lima, Antonio Chalfun-Junior, Márcio Antônio da Silveira, Horllys Gomes Barreto

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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 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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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.

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Melissa Barbosa Fonseca MoraesLaboratory of Molecular Analysis (LAM), Life Sciences Department, Federal University of Tocantins, Palmas, TO, Brazil.
Matheus Martins DaúdeLaboratory of Molecular Analysis (LAM), Life Sciences Department, Federal University of Tocantins, Palmas, TO, Brazil.
Kellen Kauanne Pimenta de OliveiraLaboratory of Molecular Analysis (LAM), Life Sciences Department, Federal University of Tocantins, Palmas, TO, Brazil.
Rogério Cavalcante GonçalvesLaboratory of Molecular Analysis (LAM), Life Sciences Department, Federal University of Tocantins, Palmas, TO, Brazil.
Solange Aparecida SágioLaboratory of Molecular Analysis (LAM), Life Sciences Department, Federal University of Tocantins, Palmas, TO, Brazil.
André Almeida LimaLaboratory of Molecular Analysis (LAM), Life Sciences Department, Federal University of Tocantins, Palmas, TO, Brazil.
Antonio Chalfun-JuniorPlant Molecular Physiology Laboratory, Biology Department, Federal University of Lavras, Lavras, MG, Brazil.
Márcio Antônio da SilveiraPostgraduate Program in Digital Agroenergy, Federal University of Tocantins, Palmas, TO, Brazil.
Horllys Gomes BarretoLaboratory of Molecular Analysis (LAM), Life Sciences Department, Federal University of Tocantins, Palmas, TO, Brazil. horllys@uft.edu.br.

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) Process number 433729/2018-0
6 · The paper itself

Abstract

Sweet potato (Ipomoea batatas) is one of the most important crops of the world, displaying a significant economic importance in several countries. However, few studies exploring biotechnological tools, such as RT-qPCR, used for gene expression analysis, have been conducted so far, slowing down crop breeding programs. Here, a detailed analysis of previous validated reference genes, essential for normalization of RT-qPCR studies, was conducted, and new candidate genes were evaluated, addressing existing gaps for the development of molecular studies via RT-qPCR in sweet potato. To this end, five sweet potato reference genes studies were evaluated, and the six best-classified genes (IbCYC, IbARF, IbTUB, IbUBI, IbCOX and IbEF1α) were selected for further analysis. Additionally, four commonly used reference genes (IbPLD, IbACT, IbRPL and IbGAP) were also included in the study. The ten reference genes were analyzed across four different tissues (fibrous root, tuberous root, stem and leaf) from sweet potato plants grown under normal conditions. IbACT, IbARF and IbCYC were the most stable genes, displaying the lowest variation in expression levels across the tissues studied, while IbGAP, IbRPL and IbCOX were classified as the least stable genes according to the RefFinder algorithm. The results obtained here highlight the relevance of this type of investigation to ensure the reliability of relative gene expressions analyzed in sweet potato. In addition, it directly contributes for a better understanding of the biological processes associated with the performance of this crop, aiding future research addressing transcriptome analyses in this species, which displays high agricultural and industrial potential.

Indexed as

Genes, PlantIpomoea batatasReal-Time Polymerase Chain ReactionGene Expression ProfilingGene Expression Regulation, PlantPlant LeavesPlant ProteinsPlant RootsReference StandardsReproducibility of ResultsPlant Proteins

Identifiers

PMID41238620
PMCPMC12618874

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