ArticlePloS one2013
Identification and validation of reference genes for gene expression analysis using quantitative PCR in Spodoptera litura (Lepidoptera: Noctuidae).
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers.
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88 citing papers in PubMed.
- Stability analysis of reference genes in Maconellicoccus hirsutus across various conditions including dsRNA treatment.Scientific reports · 2025Article
- Exploration of real-time fluorescence quantitative PCR by analyzing effective reference genes in Galleria mellonella (Lepidoptera: Pyralidae).Journal of insect science (Online) · 2025Article
- Stability Evaluation of Reference Genes inInsects · 2025Article
- Evaluation of stable reference genes for RT-qPCR analysis in Antheraea assamensis (Lepidoptera: Saturniidae) during pathogenic infections.Molecular biology reports · 2025Article
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- The Selection and Validation of Reference Genes for RT-qPCR Analysis of the Predatory Natural EnemyInsects · 2024Article
- Reference genes to study the sex-biased expression of genes regulating Drosophila metabolism.Scientific reports · 2024Article
- Characterizing reference genes for high-fidelity gene expression analysis under different abiotic stresses and elicitor treatments in fenugreek leaves.Plant methods · 2024Article
- Reference genes for qPCR expression in black tiger shrimp, Penaeus monodon.Molecular biology reports · 2024Article
- Determination of internal controls for quantitative gene expression of Spodoptera litura under microbial pesticide stress.Scientific reports · 2024Article
- Validation and Evaluation of Reference Genes for Quantitative Real-Time PCR Analysis inInsects · 2024Article
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- Evaluation of reference genes for quantitative expression analysis inFrontiers in physiology · 2024Article
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- Nanoparticle-Shielded dsRNA Delivery for Enhancing RNAi Efficiency in Cotton Spotted BollwormInternational journal of molecular sciences · 2023Article
- Selection and validation of optimal reference genes for RT-qPCR analyses inFrontiers in physiology · 2023Article
- Identification and validation of reference genes for normalization of gene expression analysis using qRT-PCR inFrontiers in physiology · 2023Article
- Identification of Endogenous Genes for Normalizing Titer Variation of Citrus Tristeza Virus in Aphids at Different Post-acquisition Feeding Times.The plant pathology journal · 2022Article
- Metabolism and antioxidant activity of SlGSTD1 in Spodoptera litura as a detoxification enzyme to pyrethroids.Scientific reports · 2022Article
28 more citing papers are in PubMed but not listed here.
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7 authors.
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Abstract
Reverse transcription quantitative polymerase chain reaction (qRT-PCR) has rapidly become the most sensitive and accurate method for the quantification of gene expression. To facilitate gene expression studies and obtain more accurate qRT-PCR data, normalization relative to stable housekeeping genes is required. These housekeeping genes need to show stable expression under the given experimental conditions for the qRT-PCR results to be accurate. Unfortunately, there are no studies on the stability of housekeeping genes used in Spodoptera litura. In this study, eight candidate reference genes, elongation factor 1 alpha (EF1), glyceraldehyde-3-phosphate dehydrogenase (GAPDH), ribosomal protein L10 (RPL10), ribosomal protein S3 (RPS3), beta actin (ACTB), beta FTZ-F1 (FTZF1), ubiquinol-cytochrome c reductase (UCCR), and arginine kinase (AK), were evaluated for their suitability as normalization genes under different experimental conditions using the statistical software programs, BestKeeper, geNorm and Normfinder, and the comparative ΔCt method. We determined the expression levels of the candidate reference genes for three biotic factors (developmental stage, tissue and population), and four abiotic treatments (temperature, insecticide, food and starvation). The results indicated that the best sets of candidates as reference genes were as follows: GAPDH and UCCR for developmental stages; RPL10, AK and EF1 for different tissues; RPL10 and EF1 for different populations in China; GAPDH and EF1 for temperature-stressed larvae; AK and ACTB for larvae treated with different insecticides; RPL10, GAPDH and UCCR for larvae fed different diets; RPS3 and ACTB for starved larvae. We believe that these results make an important contribution to gene analysis studies in S. litura and form the basis of further research on stable reference genes in S. litura and other organisms.
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