Literature DB >> 28115499

Selection and Evaluation of Reference Genes for Expression Analysis Using qRT-PCR in Chilo suppressalis (Lepidoptera: Pyralidae).

Jing Xu1,2, Ming-Xing Lu1,2, Ya-Dong Cui3, Yu-Zhou Du1,2.   

Abstract

Quantitative real-time polymerase chain reaction (qRT-PCR) is a valuable tool for estimating gene expression; however, the validity is largely dependent on the selection of stable reference genes. The suitability of various reference genes for qRT-PCR analysis was evaluated in, Chilo suppressalis (Walker). The ΔCt method, geNorm, NormFinder, and BestKeeper were used to evaluate the suitability of nine candidate reference genes for normalizing gene expression in larval tissues and organs and during high and low temperature stress. The ΔCt method, geNorm, and NormFinder produced similar stability rankings; H3, UBI, and EF1 were the most stable reference genes for monitoring gene expression in larval tissue and organs, and EF1, TUB, and AK were the optimal genes for thermal stress. However, for thermal stress, RPS11 was the most stable gene based on BestKeeper. To validate these recommendations, the expression profile of the gene encoding heat shock protein 60 (Hsp60) was investigated. Hsp60 transcript levels showed significant differences when normalized to the most versus least stable reference genes. These results further confirm the importance of testing reference genes using the selected experimental parameters. The reference genes identified in the present study will improve the quality of gene expression data obtained for C. suppressalis and will facilitate future studies aimed at understanding the biology of this important insect pest.
© The Authors 2017. Published by Oxford University Press on behalf of Entomological Society of America. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  Chilo suppressalis; evaluation; qRT-PCR; reference gene

Mesh:

Year:  2017        PMID: 28115499     DOI: 10.1093/jee/tow297

Source DB:  PubMed          Journal:  J Econ Entomol        ISSN: 0022-0493            Impact factor:   2.381


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