ArticleFrontiers in plant science2017
Genome-Wide Identification and Evaluation of Reference Genes for Quantitative RT-PCR Analysis during Tomato Fruit Development.
Article in Frontiers in plant science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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22 citing papers in PubMed.
- A Noncanonical Auxin-Sensing Mechanism Uncovered by Screening the Auxin Response Factor 3 Interacting Proteins in Tomato.International journal of molecular sciences · 2026Article
- Optimizing reference gene selection for accurate gene expression analysis in plants.Plant signaling & behavior · 2025Review
- Transcriptomic Analyses of Tomato Exhibiting Induced Resistance toPlants (Basel, Switzerland) · 2025Article
- The FIBRILLIN multigene family in tomato, their roles in plastoglobuli structure and metabolism.The Plant journal : for cell and molecular biology · 2025Article
- Development and selection of stably expressed reference genes for expression normalization in Ribes odoratum under drought stress.Scientific reports · 2025Article
- A stable combination of non-stable genes outperforms standard reference genes for RT-qPCR data normalization.Scientific reports · 2024Article
- Integrative analysis of the methylome and transcriptome of tomato fruit (Horticulture research · 2024Article
- Article
- Validation of superior reference genes in mouse submandibular glands under developmental and functional regeneration states.International journal of molecular medicine · 2022Article
- All-flesh fruit in tomato is controlled by reduced expression dosage of AFF through a structural variant mutation in the promoter.Journal of experimental botany · 2022Article
- Selection and Evaluation of Candidate Reference Genes for Quantitative Real-Time PCR in Aboveground Tissues and Drought Conditions inFrontiers in genetics · 2022Article
- 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
- Stability analysis of reference genes for RT-qPCR assays involving compatible and incompatible Ralstonia solanacearum-tomato 'Hawaii 7996' interactions.Scientific reports · 2021Article
- Reproductive developmental transcriptome analysis of Tripidium ravennae (Poaceae).BMC genomics · 2021Article
- Validation of Reference Genes for Quantitative Real-Time PCR Normalization inFrontiers in genetics · 2021Article
- Article
- Multi-gene metabolic engineering of tomato plants results in increased fruit yield up to 23%.Scientific reports · 2020Article
- Identification and evaluation of reference genes for reliable normalization of real-time quantitative PCR data in acerola fruit, leaf, and flower.Molecular biology reports · 2020Article
- Using Tomato Recombinant Lines to Improve Plant Tolerance to Stress Combination Through a More Efficient Nitrogen Metabolism.Frontiers in plant science · 2019Article
- Selection of the optimal reference genes for expression analyses in different materials ofPlant methods · 2019Article
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13 authors.
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Abstract
Gene expression analysis in tomato fruit has drawn increasing attention nowadays. Quantitative real-time PCR (qPCR) is a routine technique for gene expression analysis. In qPCR operation, reliability of results largely depends on the choice of appropriate reference genes (RGs). Although tomato is a model for fruit biology study, few RGs for qPCR analysis in tomato fruit had yet been developed. In this study, we initially identified 38 most stably expressed genes based on tomato transcriptome data set, and their expression stabilities were further determined in a set of tomato fruit samples of four different fruit developmental stages (Immature, mature green, breaker, mature red) using qPCR analysis. Two statistical algorithms, geNorm and Normfinder, concordantly determined the superiority of these identified putative RGs. Notably, SlFRG05 (Solyc01g104170), SlFRG12 (Solyc04g009770), SlFRG16 (Solyc10g081190), SlFRG27 (Solyc06g007510), and SlFRG37 (Solyc11g005330) were proved to be suitable RGs for tomato fruit development study. Further analysis using geNorm indicate that the combined use of SlFRG03 (Solyc02g063070) and SlFRG27 would provide more reliable normalization results in qPCR experiments. The identified RGs in this study will be beneficial for future qPCR analysis of tomato fruit developmental study, as well as for the potential identification of optimal normalization controls in other plant species.
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