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Evaluation of Reference Genes for Real-Time Quantitative PCR Analysis in Larvae of Spodoptera litura Exposed to Azadirachtin Stress Conditions

Overview of attention for article published in Frontiers in Physiology, April 2018
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Title
Evaluation of Reference Genes for Real-Time Quantitative PCR Analysis in Larvae of Spodoptera litura Exposed to Azadirachtin Stress Conditions
Published in
Frontiers in Physiology, April 2018
DOI 10.3389/fphys.2018.00372
Pubmed ID
Authors

Benshui Shu, Jingjing Zhang, Gaofeng Cui, Ranran Sun, Veeran Sethuraman, Xin Yi, Guohua Zhong

Abstract

Azadirachtin is an efficient and broad-spectrum botanical insecticide against more than 150 kinds of agricultural pests with the effects of mortality, antifeedant and growth regulation. Real-time quantitative polymerase chain reaction (RT-qPCR) could be one of the powerful tools to analyze the gene expression level and investigate the mechanism of azadirachtin at transcriptional level, however, the ideal reference genes are needed to normalize the expression profiling of target genes. In this present study, the fragments of eight candidate reference genes were cloned and identified from the pest Spodoptera litura. In addition, the expression stability of these genes in different samples from larvae of control and azadirachtin treatments were evaluated by the computational methods of NormFinder, BestKeeper, Delta CT, geNorm, and RefFinder. According to our results, two of the reference genes should be the optimal number for RT-qPCR analysis. Furthermore, the best reference genes for different samples were showed as followed: EF-1α and EF2 for cuticle, β-Tubulin and RPL7A for fat body, EF2 and Actin for midgut, EF2 and RPL13A for larva and RPL13A and RPL7A for all the samples. Our results established a reliable normalization for RT-qPCR experiments in S. litura and ensure the data more accurate for the mechanism analysis of azadirachtin.

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The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 24%
Researcher 3 12%
Student > Master 3 12%
Other 2 8%
Student > Bachelor 1 4%
Other 1 4%
Unknown 9 36%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 28%
Biochemistry, Genetics and Molecular Biology 3 12%
Arts and Humanities 1 4%
Nursing and Health Professions 1 4%
Neuroscience 1 4%
Other 0 0%
Unknown 12 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 April 2018.
All research outputs
#20,483,282
of 23,045,021 outputs
Outputs from Frontiers in Physiology
#9,494
of 13,790 outputs
Outputs of similar age
#290,351
of 329,180 outputs
Outputs of similar age from Frontiers in Physiology
#344
of 467 outputs
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