ArticleBMC research notes2012
Microarray-based uncovering reference genes for quantitative real time PCR in grapevine under abiotic stress.
Article in BMC research notes, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.
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Who cites it
27 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Selection of reference genes for quantitative PCR: identifying reference genes for airway epithelial cells exposed toAmerican journal of physiology. Lung cellular and molecular physiology · 2020Pooled it
- Transcriptome-Based Selection and Validation of Reference Genes for Gene Expression Analysis inGenes · 2026Article
- Potential of a Remotely Piloted Aircraft System with Multispectral and Thermal Sensors to Monitor Vineyard Characteristics for Precision Viticulture.Plants (Basel, Switzerland) · 2025Article
- Canopy Architecture and Sun Exposure Influence Berry Cluster-Water Relations in the Grapevine Variety Muscat of Alexandria.Plants (Basel, Switzerland) · 2024Article
- Modulation of the Berry Skin Transcriptome of cv. Tempranillo Induced by Water Stress Levels.Plants (Basel, Switzerland) · 2023Article
- Developmental Regulation of Transcription in Touriga Nacional Berries under Deficit Irrigation.Plants (Basel, Switzerland) · 2022Article
- Article
- Genome-wide screening of novel RT-qPCR reference genes for study of GLRaV-3 infection in wine grapes and refinement of an RNA isolation protocol for grape berries.Plant methods · 2021Article
- Review
- Selecting Aragonez Genotypes Able to Outplay Climate Change-Driven Abiotic Stress.Frontiers in plant science · 2020Article
- Selection of a Real-Time PCR Housekeeping Gene Panel in Human Endothelial Colony Forming Cells for Cellular Senescence Studies.Frontiers in medicine · 2019Article
- Selection of reference genes for miRNA qRT-PCR under abiotic stress in grapevine.Scientific reports · 2018Article
- MicroRNA expression profiles during cotton (Gossypium hirsutum L) fiber early development.Scientific reports · 2017Article
- Design of a Custom RT-qPCR Array for Assignment of Abiotic Stress Tolerance in Traditional Portuguese Grapevine Varieties.Frontiers in plant science · 2017Article
- Candidate Reference Genes Selection and Application for RT-qPCR Analysis in Kenaf with Cytoplasmic Male Sterility Background.Frontiers in plant science · 2017Article
- Comparative Physiological and Molecular Analyses of Two Contrasting Flue-Cured Tobacco Genotypes under Progressive Drought Stress.Frontiers in plant science · 2017Article
- Transcriptomic comparison between two Vitis vinifera L. varieties (Trincadeira and Touriga Nacional) in abiotic stress conditions.BMC plant biology · 2016Article
- Characterization of the serine acetyltransferase gene family of Vitis vinifera uncovers differences in regulation of OAS synthesis in woody plants.Frontiers in plant science · 2015Article
- Selection of reference genes for qPCR- and ddPCR-based analyses of gene expression in Senescing Barley leaves.PloS one · 2015Article
- The gene family of dehydration responsive element-binding transcription factors in grape (Vitis vinifera): genome-wide identification and analysis, expression profiles, and involvement in abiotic stress resistance.Molecular biology reports · 2014Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundQuantitative real time polymerase chain reaction is becoming the primary tool for detecting mRNA and transcription data analysis as it shows to have advantages over other more commonly used techniques. Nevertheless, it also presents a few shortcomings, with the most import being the need for data normalisation, usually with a reference gene. Therefore the choice of the reference gene(s) is of great importance for correct data analysis. Microarray data, when available, can be of great assistance when choosing reference genes. Grapevine was submitted to water stress and heat stress as well as a combination of both to test the stability of the possible reference genes.
resultsUsing the analysis of microarray data available for grapevine, six possible reference genes were selected for RT-qPCR validation: PADCP, ubiq, TIF, TIF-GTP, VH1-IK, aladin-related. Two additional genes that are commonly used as reference genes were included: act and L2. The stability of those genes was tested in leaves of grapevine in both field plants and in greenhouse plants under water or heat stress or a combination of both. Gene stability was analyzed with the softwares GeNorm, NormFinder and the ΔCq method resulting in several combinations of reference genes suitable for data normalisation. In order to assess the best combination, the reference genes were tested in putative stress marker genes (PCO, Galsynt, BKCoAS and HSP17) also chosen from the same microarray, in water stress, heat stress and the combination of both.
conclusionsEach method selected different gene combinations (PADCP + act, TIF + TIF-GTP and ubiq + act). However, as none of the combinations diverged significantly from the others used to normalize the expression of the putative stress marker genes, then any combination is suitable for data normalisation under the conditions tested. Here we prove the accuracy of choosing grapevine reference genes for RT-qPCR through a microarray analysis.
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