Transcriptome-guided selection of stable reference genes for expression analysis in spinach.

ABSTRACT: Accurate measurement of gene expression levels is vital for advancing plant biology research. This study explores the identification and validation of stable reference genes (RGs) for gene expression analysis in Spinacia oleracea. Leveraging transcriptome data from various developmental stages, we employed rigorous statistical analyses to identify potential RGs. A total of 1196 candidate genes were initially screened based on expression variability, with subsequent refinement using criteria such as low variance and stability. Among 12 commonly used candidate RGs, EF1α and H3 emerged as the most stable across diverse experimental conditions, while GRP and PPR exhibited lower stability. These findings were further validated through qRT-PCR assays and comprehensive statistical analyses, inclu

SUBMITTER: Soorni A 

PROVIDER: S-EPMC11436919 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature