Screening optimum reference genes for quantitative real‐time polymerase chain reaction analysis in black soldier fly <i>Hermetia illucens</i> under different conditions
With the completion of genome sequencing of the black soldier fly (BSF), an increasing number of researchers are focusing on elucidating its robust digestive and absorptive capabilities through genetic and molecular biology methods to enhance its growth performance. However, most genetic and molecular biology studies require gene expression analysis, and the stability of reference genes may change under different experimental conditions. To identify optimal reference genes, we evaluated 11 candidate reference genes (GAPDH, β-actin, GST, Tubulin α-1A, Tubulin α-4A, Tubulin β, RP49, RPL13, EF1-α, 18S RNA, and 28S RNA) across various developmental stages, tissues, sexes, and 3 distinct genotypes of Hermetia illucens using RefFinder software, which integrates the statistical algorithms geNorm, NormFinder, BestKeeper, and ΔCt. The results recommend that β-Actin, 18S RNA, and RPL13 are suitable for analyzing different developmental stages; RPL13, GST, and RP49 are optimal for different tissues; EF1, RPL13, and GST work best for different sexes; and RPL13, GAPDH, and 18S RNA are ideal for different genotypes. Notably, this study is the first to evaluate the stability of reference genes across 3 BSF genotypes originating from different regions. The findings offer valuable references and fresh insights for molecular biology research on H. illucens.
Authors
- Zhending Gan (ORCID: https://orcid.org/0000-0002-6038-3184)
- Ting Han (ORCID: https://orcid.org/0000-0003-3168-8699)
- Jing Du (ORCID: https://orcid.org/0000-0001-7519-8531)
- Ruju Zhang
- Xiaomei Ye
- Fei Zhu (ORCID: https://orcid.org/0000-0002-0136-1946)
- Qiuqin Ma (ORCID: https://orcid.org/0009-0003-2774-013X)
Institutions
- Nanjing Agricultural University (CN)
- Jiangsu Academy of Agricultural Sciences (CN)
- Ministry of Agriculture and Rural Affairs (CN)
Publication Details
- Journal
- Insect Science
- Published
- 2025-05-20
- DOI
- https://doi.org/10.1111/1744-7917.70067
- Primary Topic
- Molecular Biology Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00