In this study, eight candidate reference genes were evaluated for RT-qPCR normalization in the drone testis of honey bees (Apis cerana) during meiosis. The goal was to identify stable reference genes across meiosis stages to enable accurate measurement of target gene expression.
Stability assessments were performed using multiple algorithms: BestKeeper, delta-CT, GeNorm, NormFinder, and RefFinder. The ranking of the most stable reference genes varied among methods, but integrating results identified gapdh as the most stable reference gene overall for the drone testis during meiosis.
Additionally, the combination of gapdh and rps18 emerged as an optimal approach for normalization, with both individual gene stability and combined performance supporting their utility. The expression patterns of two target genes, stat92e and dicer1, were used to validate the selected reference genes, confirming that gapdh (and, when used together with rps18, enhanced normalization reliability) provided robust normalization for evaluating target gene expression during meiosis.
The findings establish a foundation for more accurate quantification of gene expression in drone testes across meiosis stages, acknowledging that stability can differ by algorithm.