Screening and Stability Analysis of Reference Genes in Pastor roseus
<b>Background/Objectives:</b> Optimal reference genes for normalizing RT-qPCR data depend on the species, treatments, developmental stages, and other conditions. <i>Pastor roseus</i> is a long-distance migratory bird with potential applications in locust biological control. This study applied reverse transcription quantitative PCR (RT-qPCR) to evaluate the expression stability of six genes (<i>RPS2</i>, <i>ACTB</i>, <i>B2M</i>, <i>SDHA</i>, <i>UBE2G2</i>, and <i>RPL4</i>) in blood samples from female, male, and nestling <i>P. roseus</i>. <b>Methods:</b> An integrated analysis of the expression stability of six reference genes was performed using three statistical algorithms: GeNorm, BestKeeper, and NormFinder. <b>Results:</b> The results showed that <i>SDHA</i>, <i>ACTB</i>, and <i>B2M</i> exhibited the highest expression stability among the candidate reference genes. The optimal number of reference genes was two, as determined by a pairwise variation analysis using GeNorm. Subsequent comprehensive validation using RefFinder identified <i>SDHA</i>/<i>ACTB</i> as the optimal reference gene pair for normalizing gene expression data for <i>P. roseus</i>. <b>Conclusions:</b> These findings establish a robust foundation for ensuring data accuracy in functional genomic studies of <i>P. roseus</i>.
Authors
- Xiaofang Ye (ORCID: https://orcid.org/0000-0002-7531-3162)
- Kun Yang
- Rong Ji (ORCID: https://orcid.org/0000-0002-1724-5253)
- Xiaojie Wang (ORCID: https://orcid.org/0000-0003-0530-3126)
- Ran Li (ORCID: https://orcid.org/0000-0001-6473-4570)
- Jun Lin (ORCID: https://orcid.org/0000-0002-5152-6518)
- Xue Sun (ORCID: https://orcid.org/0000-0001-8388-2237)
- Jianguo Wu (ORCID: https://orcid.org/0000-0001-6809-7169)
- Hongxia Hu
Institutions
- Xinjiang Normal University (CN)
- Xinjiang Uygur Autonomous Region Disease Prevention and Control Center (CN)
- Changji University (CN)
- Zhanjiang Experimental Station (CN)
Publication Details
- Journal
- Genes
- Published
- 2025-09-09
- DOI
- https://doi.org/10.3390/genes16091056
- Primary Topic
- Molecular Biology Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00