Evaluation of Optimal Reference Genes for qRT-PCR Analysis in Hyphantria cunea (Drury)
Xudong Zhao, Yishu Geng, Tianyi Hu, Yongang Zhao, Suling Yang, Dejun Hao
Journal:Insects
IF:3.14
DOI:10.3390/insects13010097
PMID:35055939
Published:2022-01-14
research field:干细胞生物学再生医学微生物学生物化学
Abstract
Simple SummaryReverse transcription-quantitative polymerase chain reaction (qRT-PCR) has rapidly become the most accessible and widely-applied method for quantifying gene transcription. Stable reference genes need to be normalized to facilitate gene expression studies and obtain more accurate qRT-PCR data. In this research, eight reference genes from different functional categories and gene families were used to assess the stability level of gene expression under different conditions inH. cunea. Finally, the expression pattern of the target gene serine proteases (HcSP1) was evaluated under different conditions to verify the precision and reliability of the results. This study provides a comprehensive list of suitable reference genes for analyses and optional reference genes for other gene function research inH. cunea.AbstractThe relative quantification of gene expression is mainly achieved through reverse transcription-quantitative PCR (qRT-PCR); however, its reliability and precision rely on proper data normalization using one or more optimal reference genes.Hyphantria cunea(Drury) has been an invasive pest of forest trees, ornamental plants, and fruit trees in China for many years. Currently, the molecular physiological role of reference genes inH. cuneais unclear, which hinders functional gene study. Therefore, eight common reference genes,RPS26,RPL13,UBI,AK,RPS15,EIF4A,β-actin,α-tub, were selected to evaluate levels of gene expression stability when subjected to varied experimental conditions, including developmental stage and gender, different tissues, larvae reared on different hosts and different larval density. The geNorm, BestKeeper, ΔCt method, and NormFinder statistical algorithms were used to normalize gene transcription data. Furthermore, the stability/suitability of these candidates was ranked overall by RefFinder. This study provides a comprehensive evaluation of reference genes inH. cuneaand could help select reference genes for other Lepidoptera sp
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