ArticlePloS one2012
Evaluation of new reference genes in papaya for accurate transcript normalization under different experimental conditions.
Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 104 papers.
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.
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.
Who cites it
104 citing papers in PubMed, 201 citations in OpenAlex.
- Screening of Reference Gene for RT-qPCR inInternational journal of molecular sciences · 2026Article
- Comparative Analysis of Full-Length Reference Gene Stability inPlants (Basel, Switzerland) · 2026Article
- CpERF-WRI1 Manipulates Ethylene Sensing by Regulating the Expression of CpERS1 and Fruit Ripening in Papaya.Plant biotechnology journal · 2026Article
- Unintended effects of exogenous DNA integration in transgenic papaya analyzed at DNA and transcriptional levels.BMC plant biology · 2026Article
- Double-truncated version of OsGADs leads to higher GABA accumulation and stronger stress tolerance in Oryza sativa L. var. japonica.Plant cell reports · 2025Article
- Epidemiological studies on the incidence of papaya ringspot disease under Indian sub-continent conditions.Scientific reports · 2025Article
- Advances in Molecular Research of Tropical Fruit.International journal of molecular sciences · 2024Article
- Transcriptome-guided selection of stable reference genes for expression analysis in spinach.Scientific reports · 2024Article
- StCoExpNet: a global co-expression network analysis facilitates identifying genes underlying agronomic traits in potatoes.Plant cell reports · 2024Article
- Characterizing reference genes for high-fidelity gene expression analysis under different abiotic stresses and elicitor treatments in fenugreek leaves.Plant methods · 2024Article
- Identification and Validation of Key Genes Related to Preferred Flavour Profiles in Australian Commercial Papaya (International journal of molecular sciences · 2024Article
- Advancements in Reference Gene Selection for Fruit Trees: A Comprehensive Review.International journal of molecular sciences · 2024Review
- Article
- Validation of Reference Genes in a Population of BlueberryPlants (Basel, Switzerland) · 2022Article
- Validation of Appropriate Reference Genes for qRT-PCR Normalization in Oat (International journal of molecular sciences · 2022Article
- Identification and Validation of Reliable Reference Genes for Gene Expression Studies inGenes · 2022Article
- Papaya Leaf Curl Virus (PaLCuV) Infection on Papaya (Plants (Basel, Switzerland) · 2022Article
- Gene regulation network analyses of pistil development in papaya.BMC genomics · 2022Article
- Comparative transcriptomics and genomic analyses reveal differential gene expression related toFrontiers in plant science · 2022Article
- Selection and Validation of Reference Genes for RT-qPCR Analysis inInternational journal of molecular sciences · 2021Article
44 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Real-time reverse transcription PCR (RT-qPCR) is a preferred method for rapid and accurate quantification of gene expression studies. Appropriate application of RT-qPCR requires accurate normalization though the use of reference genes. As no single reference gene is universally suitable for all experiments, thus reference gene(s) validation under different experimental conditions is crucial for RT-qPCR analysis. To date, only a few studies on reference genes have been done in other plants but none in papaya. In the present work, we selected 21 candidate reference genes, and evaluated their expression stability in 246 papaya fruit samples using three algorithms, geNorm, NormFinder and RefFinder. The samples consisted of 13 sets collected under different experimental conditions, including various tissues, different storage temperatures, different cultivars, developmental stages, postharvest ripening, modified atmosphere packaging, 1-methylcyclopropene (1-MCP) treatment, hot water treatment, biotic stress and hormone treatment. Our results demonstrated that expression stability varied greatly between reference genes and that different suitable reference gene(s) or combination of reference genes for normalization should be validated according to the experimental conditions. In general, the internal reference genes EIF (Eukaryotic initiation factor 4A), TBP1 (TATA binding protein 1) and TBP2 (TATA binding protein 2) genes had a good performance under most experimental conditions, whereas the most widely present used reference genes, ACTIN (Actin 2), 18S rRNA (18S ribosomal RNA) and GAPDH (Glyceraldehyde-3-phosphate dehydrogenase) were not suitable in many experimental conditions. In addition, two commonly used programs, geNorm and Normfinder, were proved sufficient for the validation. This work provides the first systematic analysis for the selection of superior reference genes for accurate transcript normalization in papaya under different experimental conditions.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.