Defining Suitable Reference Genes for qRT-PCR in Plagiodera versicolora (Coleoptera: Chrysomelidae) under Different Biotic or Abiotic Conditions
Bibliographic record
Abstract
Plagiodera versicolora (Coleoptera: Chrysomelidae) is one of the most destructive pests of the Salicaceae worldwide, which has established complex interactions with surrounding organisms. Uncovering the molecular mechanisms of some antagonistic interactions would facilitate the development of environmentally friendly pest insect management strategies. Suitable reference genes are essential for reliable qPCR and gene expression analysis in molecular studies; however, a comprehensive assessment of reference genes in P. versicolora is still lacking. In this study, the stability of seven housekeeping genes (including Actin, EF1A, α-tubulin, RPL13a, RPS18, RPL8 and UBC) was investigated under both biotic (developmental stages, tissues, sex and pathogen treatment) and abiotic (RNA interference treatment, temperature treatment) conditions. The geNorm, NormFinder, BestKeeper, and ΔCt programs were used to analyze gene expression data. The RefFinder synthesis analysis was applied to suggest a handful of appropriate reference genes for each experimental condition. RPS18 and EF1A were the most reliable reference genes in different development stages; RPS18 and RPL8 were most stable in female and male adults, different tissues, different temperatures, and pathogen treatment; α-tubulin and RPL13a were most stable after dietary RNAi treatment. The research provides a strong basis for future research into the molecular biology of P. versicolora.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".