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Selection and Validation of Reference Genes for RT-qPCR Analysis of the Ladybird Beetle Henosepilachna vigintioctomaculata

Reverse transcriptase-quantitative polymerase chain reaction (RT-qPCR) is a momentous technique for quantifying expression levels of the targeted genes across various biological processes. Selection and validation of appropriate reference genes for RT-qPCR analysis are a pivotal precondition for rel...

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Autores principales: Lü, Jing, Chen, Shimin, Guo, Mujuan, Ye, Cuiyi, Qiu, Baoli, Wu, Jianhui, Yang, Chunxiao, Pan, Huipeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6243213/
https://www.ncbi.nlm.nih.gov/pubmed/30483159
http://dx.doi.org/10.3389/fphys.2018.01614
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author Lü, Jing
Chen, Shimin
Guo, Mujuan
Ye, Cuiyi
Qiu, Baoli
Wu, Jianhui
Yang, Chunxiao
Pan, Huipeng
author_facet Lü, Jing
Chen, Shimin
Guo, Mujuan
Ye, Cuiyi
Qiu, Baoli
Wu, Jianhui
Yang, Chunxiao
Pan, Huipeng
author_sort Lü, Jing
collection PubMed
description Reverse transcriptase-quantitative polymerase chain reaction (RT-qPCR) is a momentous technique for quantifying expression levels of the targeted genes across various biological processes. Selection and validation of appropriate reference genes for RT-qPCR analysis are a pivotal precondition for reliable expression measurement. Henosepilachna vigintioctopunctata is one of the most serious insect pests that attack Solanaceae plants in Asian countries. Recently, the transcriptomes of H. vigintioctopunctata were sequenced, promoting gene functional studies of this insect pest. Unfortunately, the reference genes for H. vigintioctopunctata have not been selected and validated. Here, a total of 7 commonly used reference genes, namely, Actin, GAPDH, RPL13, RPL6, RPL32, RPS18, and ATPB, were selected and assessed for suitability under four experimental conditions, namely, developmental stage, tissue, temperature, and host plant, using RefFinder, which integrates four different analytical tools (Normfinder, geNorm, the ΔCt method, and BestKeeper). The results displayed that RPL13 and RPS18 were the best suitable reference genes for each experimental condition. The relative transcript levels of 2 target genes, lov and TBX1, varied greatly according to normalization with the two most- and least-suited reference genes. Our results will be helpful for improving the accuracy of the RT-qPCR analysis for future functional investigations of target gene expression in H. vigintioctopunctata.
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spelling pubmed-62432132018-11-27 Selection and Validation of Reference Genes for RT-qPCR Analysis of the Ladybird Beetle Henosepilachna vigintioctomaculata Lü, Jing Chen, Shimin Guo, Mujuan Ye, Cuiyi Qiu, Baoli Wu, Jianhui Yang, Chunxiao Pan, Huipeng Front Physiol Physiology Reverse transcriptase-quantitative polymerase chain reaction (RT-qPCR) is a momentous technique for quantifying expression levels of the targeted genes across various biological processes. Selection and validation of appropriate reference genes for RT-qPCR analysis are a pivotal precondition for reliable expression measurement. Henosepilachna vigintioctopunctata is one of the most serious insect pests that attack Solanaceae plants in Asian countries. Recently, the transcriptomes of H. vigintioctopunctata were sequenced, promoting gene functional studies of this insect pest. Unfortunately, the reference genes for H. vigintioctopunctata have not been selected and validated. Here, a total of 7 commonly used reference genes, namely, Actin, GAPDH, RPL13, RPL6, RPL32, RPS18, and ATPB, were selected and assessed for suitability under four experimental conditions, namely, developmental stage, tissue, temperature, and host plant, using RefFinder, which integrates four different analytical tools (Normfinder, geNorm, the ΔCt method, and BestKeeper). The results displayed that RPL13 and RPS18 were the best suitable reference genes for each experimental condition. The relative transcript levels of 2 target genes, lov and TBX1, varied greatly according to normalization with the two most- and least-suited reference genes. Our results will be helpful for improving the accuracy of the RT-qPCR analysis for future functional investigations of target gene expression in H. vigintioctopunctata. Frontiers Media S.A. 2018-11-14 /pmc/articles/PMC6243213/ /pubmed/30483159 http://dx.doi.org/10.3389/fphys.2018.01614 Text en Copyright © 2018 Lü, Chen, Guo, Ye, Qiu, Wu, Yang and Pan. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Physiology
Lü, Jing
Chen, Shimin
Guo, Mujuan
Ye, Cuiyi
Qiu, Baoli
Wu, Jianhui
Yang, Chunxiao
Pan, Huipeng
Selection and Validation of Reference Genes for RT-qPCR Analysis of the Ladybird Beetle Henosepilachna vigintioctomaculata
title Selection and Validation of Reference Genes for RT-qPCR Analysis of the Ladybird Beetle Henosepilachna vigintioctomaculata
title_full Selection and Validation of Reference Genes for RT-qPCR Analysis of the Ladybird Beetle Henosepilachna vigintioctomaculata
title_fullStr Selection and Validation of Reference Genes for RT-qPCR Analysis of the Ladybird Beetle Henosepilachna vigintioctomaculata
title_full_unstemmed Selection and Validation of Reference Genes for RT-qPCR Analysis of the Ladybird Beetle Henosepilachna vigintioctomaculata
title_short Selection and Validation of Reference Genes for RT-qPCR Analysis of the Ladybird Beetle Henosepilachna vigintioctomaculata
title_sort selection and validation of reference genes for rt-qpcr analysis of the ladybird beetle henosepilachna vigintioctomaculata
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6243213/
https://www.ncbi.nlm.nih.gov/pubmed/30483159
http://dx.doi.org/10.3389/fphys.2018.01614
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