Screening and validation of reference genes for quantitative real-time PCR in Polygonatum hunanense

Polygonatum hunanense H.H. Liu & B.Z. Wang (syn. P. kingianum var. grandifolium), is a perennial Liliaceae species with ethnopharmaceutical and nutraceutical value. It exhibits traditional medicinal properties such as qi-tonifying, yin-nourishing, kidney-benefiting, and antioxidant activities. P. hunanense maintains evergreen foliage year-round and shows significantly higher biomass accumulation than congener taxa. These traits are linked to phytohormone regulation, as indicated by previous studies. The absence of validated reference genes in P. hunanense has hindered molecular-level investigations in this species to date. In this study, 11 candidate reference genes (GAPDH, H2A, EF-1α, ACT, TUA, UBC, RPL, PP2A, 18S, TUB, and UBQ) were identified from the P. hunanense transcriptome dataset. Expression profiles of these genes were analyzed by qRT-PCR across three experimental conditions: different tissues, hormone treatments, and abiotic stresses. Gene expression stability was analyzed using GeNorm, NormFinder, Delta Cᴛ, BestKeeper, and RefFinder software. The stability of candidate reference genes was validated through expression analysis of target genes (KO, KAM, GA13-ox, GA44-dio, ALDH7A1, IPM) involved in phytohormone metabolic pathways. Overall, the stability of the 11 candidate reference genes varied among different P. hunanense samples. EF-1α, 18S and ACT were identified as the most stable in tissue samples. EF-1α, H2A and PP2A showed the highest stability under hormone treatments, and 18S, UBC, and EF-1α exhibited consistent stability in abiotic stresses. This study establishes EF-1α as the optimal pan-experimental reference gene for qRT-PCR normalization in P. hunanense, demonstrating consistent expression stability across diverse tissues, hormone treatments, and abiotic stresses, thereby providing a significant reference for future gene expression studies.