Exploring valid reference genes for quantitative real-time PCR analysis in Plutella xylostella (Lepidoptera: Plutellidae)

Wei Fu, Wen Xie, Zhuo Zhang, Shaoli Wang, Qingjun Wu, Yong Liu, Xiaomao Zhou, Xuguo Zhou, Youjun Zhang

Research output: Contribution to journalArticlepeer-review

144 Scopus citations

Abstract

Quantitative real-time PCR (qRT-PCR), a primary tool in gene expression analysis, requires an appropriate normalization strategy to control for variation among samples. The best option is to compare the mRNA level of a target gene with that of reference gene(s) whose expression level is stable across various experimental conditions. In this study, expression profiles of eight candidate reference genes from the diamondback moth, Plutella xylostella, were evaluated under diverse experimental conditions. RefFinder, a web-based analysis tool, integrates four major computational programs including geNorm, Normfinder, BestKeeper, and the comparative ΔCt method to comprehensively rank the tested candidate genes. Elongation factor 1 (EF1) was the most suited reference gene for the biotic factors (development stage, tissue, and strain). In contrast, although appropriate reference gene(s) do exist for several abiotic factors (temperature, photoperiod, insecticide, and mechanical injury), we were not able to identify a single universal reference gene. Nevertheless, a suite of candidate reference genes were specifically recommended for selected experimental conditions. Our finding is the first step toward establishing a standardized qRT-PCR analysis of this agriculturally important insect pest.

Original languageEnglish
Pages (from-to)792-802
Number of pages11
JournalInternational Journal of Biological Sciences
Volume9
Issue number8
DOIs
StatePublished - Aug 20 2013

Funding

FundersFunder number
National Natural Science Foundation of China (NSFC)31071709, 31171876

    Keywords

    • Abiotic factor
    • Biotic factor
    • Plutella xylostella
    • Reference gene
    • qRT-PCR analysis

    ASJC Scopus subject areas

    • Ecology, Evolution, Behavior and Systematics
    • Applied Microbiology and Biotechnology
    • Molecular Biology
    • Developmental Biology
    • Cell Biology

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