ArticlePloS one2014
Selection of reference genes for gene expression studies in Siberian Apricot (Prunus sibirica L.) Germplasm using quantitative real-time PCR.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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20 citing papers in PubMed, 38 citations in OpenAlex.
- Identification of the Auxin Response Factor gene family in kernel consumption apricot and association analysis of related genes regulating fruit size in distant hybridization.BMC plant biology · 2026Article
- Strawberry atlas:PeerJ · 2026Article
- Selection of Key Genes for Apricot Kernel Oil Synthesis Based on Transcriptome Analysis.Foods (Basel, Switzerland) · 2025Article
- Reference Genes Selection and Validation forInternational journal of molecular sciences · 2024Article
- Advancements in Reference Gene Selection for Fruit Trees: A Comprehensive Review.International journal of molecular sciences · 2024Review
- 15-Foods (Basel, Switzerland) · 2024Article
- Genome-wide identification and analysis of the WRKY gene family and low-temperature stress response in Prunus sibirica.BMC genomics · 2023Article
- Comparative Anatomical and Transcriptomics Reveal the Larger Cell Size as a Major Contributor to Larger Fruit Size in Apricot.International journal of molecular sciences · 2023Article
- Metabolomic and transcriptomice analyses of flavonoid biosynthesis in apricot fruits.Frontiers in plant science · 2023Article
- Article
- Mining for genes related to pistil abortion inPeerJ · 2022Article
- Analysis of Metabolites and Gene Expression Changes Relative to Apricot (Frontiers in plant science · 2020Article
- Gene Expression Maps in Plants: Current State and Prospects.Plants (Basel, Switzerland) · 2019Review
- WRINKLED1 transcription factor orchestrates the regulation of carbon partitioning for C18:1 (oleic acid) accumulation in Siberian apricot kernel.Scientific reports · 2019Article
- Comprehensive evaluation of fuel properties and complex regulation of intracellular transporters for high oil production in developing seeds ofBiotechnology for biofuels · 2019Article
- Identification of AUXIN RESPONSE FACTOR gene family from Prunus sibirica and its expression analysis during mesocarp and kernel development.BMC plant biology · 2018Article
- Article
- Transcriptomic analysis revealed the mechanism of oil dynamic accumulation during developing Siberian apricot (Prunus sibirica L.) seed kernels for the development of woody biodiesel.Biotechnology for biofuels · 2015Article
- Selection of reliable reference genes for quantitative real-time PCR gene expression analysis in Jute (Corchorus capsularis) under stress treatments.Frontiers in plant science · 2015Article
- Evaluation and selection of candidate reference genes for normalization of quantitative RT-PCR in Withania somnifera (L.) Dunal.PloS one · 2015Article
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Authors and funding
12 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Quantitative real time reverse transcription polymerase chain reaction has been applied in a vast range of studies of gene expression analysis. However, real-time PCR data must be normalized with one or more reference genes. In this study, eleven putative consistently expressed genes (ACT, TUA, TUB, CYP, DNAj, ELFA, F-box27, RPL12, GAPDH, UBC and UBQ) in nine Siberian Apricot Germplasms (including much variability) were evaluated for their potential as references for the normalization of gene expression by NormFinder and geNorm programs. From our studies, ACT, UBC, CYP, UBQ and RPL12 as suitable for normalization were identified by geNorm, while UBC and CYP as the best pair by NormFinder. Moreover, UBC was selected as the most stably expressed gene by both algorithms in different Siberian Apricot seed samples. We also detected that a set of three genes (ACT, CYP and UBC) by geNorm as control for normalization could lead to accurate results. Furthermore, the expression levels of oleosin gene were analyzed to validate the suitability of the selected reference genes. These obtained experimental results could make an important contribution to normalize real-time PCR data for gene expression analysis in Siberian Apricot Germplasm.
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