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Selection of Reference Genes for Expression Studies of Xenobiotic Adaptation in Tetranychus urticae
Quantitative real-time PCR (qRT-PCR) is an extensively used, high-throughput method to analyze transcriptional expression of genes of interest. An appropriate normalization strategy with reliable reference genes is required for calculating gene expression across diverse experimental conditions. In t...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Ivyspring International Publisher
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4997057/ https://www.ncbi.nlm.nih.gov/pubmed/27570487 http://dx.doi.org/10.7150/ijbs.16319 |
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author | Morales, Mariany Ashanty Mendoza, Bianca Marie Lavine, Laura Corley Lavine, Mark Daniel Walsh, Douglas Bruce Zhu, Fang |
author_facet | Morales, Mariany Ashanty Mendoza, Bianca Marie Lavine, Laura Corley Lavine, Mark Daniel Walsh, Douglas Bruce Zhu, Fang |
author_sort | Morales, Mariany Ashanty |
collection | PubMed |
description | Quantitative real-time PCR (qRT-PCR) is an extensively used, high-throughput method to analyze transcriptional expression of genes of interest. An appropriate normalization strategy with reliable reference genes is required for calculating gene expression across diverse experimental conditions. In this study, we aim to identify the most stable reference genes for expression studies of xenobiotic adaptation in Tetranychus urticae, an extremely polyphagous herbivore causing significant yield reduction of agriculture. We chose eight commonly used housekeeping genes as candidates. The qRT-PCR expression data for these genes were evaluated from seven populations: a susceptible and three acaricide resistant populations feeding on lima beans, and three other susceptible populations which had been shifted host from lima beans to three other plant species. The stability of the candidate reference genes was then assessed using four different algorithms (comparative ΔCt method, geNorm, NormFinder, and BestKeeper). Additionally, we used an online web-based tool (RefFinder) to assign an overall final rank for each candidate gene. Our study found that CycA and Rp49 are best for investigating gene expression in acaricide susceptible and resistant populations. GAPDH, Rp49, and Rpl18 are best for host plant shift studies. And GAPDH and Rp49 were the most stable reference genes when investigating gene expression under changes in both experimental conditions. These results will facilitate research in revealing molecular mechanisms underlying the xenobiotic adaptation of this notorious agricultural pest. |
format | Online Article Text |
id | pubmed-4997057 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Ivyspring International Publisher |
record_format | MEDLINE/PubMed |
spelling | pubmed-49970572016-08-26 Selection of Reference Genes for Expression Studies of Xenobiotic Adaptation in Tetranychus urticae Morales, Mariany Ashanty Mendoza, Bianca Marie Lavine, Laura Corley Lavine, Mark Daniel Walsh, Douglas Bruce Zhu, Fang Int J Biol Sci Research Paper Quantitative real-time PCR (qRT-PCR) is an extensively used, high-throughput method to analyze transcriptional expression of genes of interest. An appropriate normalization strategy with reliable reference genes is required for calculating gene expression across diverse experimental conditions. In this study, we aim to identify the most stable reference genes for expression studies of xenobiotic adaptation in Tetranychus urticae, an extremely polyphagous herbivore causing significant yield reduction of agriculture. We chose eight commonly used housekeeping genes as candidates. The qRT-PCR expression data for these genes were evaluated from seven populations: a susceptible and three acaricide resistant populations feeding on lima beans, and three other susceptible populations which had been shifted host from lima beans to three other plant species. The stability of the candidate reference genes was then assessed using four different algorithms (comparative ΔCt method, geNorm, NormFinder, and BestKeeper). Additionally, we used an online web-based tool (RefFinder) to assign an overall final rank for each candidate gene. Our study found that CycA and Rp49 are best for investigating gene expression in acaricide susceptible and resistant populations. GAPDH, Rp49, and Rpl18 are best for host plant shift studies. And GAPDH and Rp49 were the most stable reference genes when investigating gene expression under changes in both experimental conditions. These results will facilitate research in revealing molecular mechanisms underlying the xenobiotic adaptation of this notorious agricultural pest. Ivyspring International Publisher 2016-08-08 /pmc/articles/PMC4997057/ /pubmed/27570487 http://dx.doi.org/10.7150/ijbs.16319 Text en © Ivyspring International Publisher. Reproduction is permitted for personal, noncommercial use, provided that the article is in whole, unmodified, and properly cited. See http://ivyspring.com/terms for terms and conditions. |
spellingShingle | Research Paper Morales, Mariany Ashanty Mendoza, Bianca Marie Lavine, Laura Corley Lavine, Mark Daniel Walsh, Douglas Bruce Zhu, Fang Selection of Reference Genes for Expression Studies of Xenobiotic Adaptation in Tetranychus urticae |
title | Selection of Reference Genes for Expression Studies of Xenobiotic Adaptation in Tetranychus urticae |
title_full | Selection of Reference Genes for Expression Studies of Xenobiotic Adaptation in Tetranychus urticae |
title_fullStr | Selection of Reference Genes for Expression Studies of Xenobiotic Adaptation in Tetranychus urticae |
title_full_unstemmed | Selection of Reference Genes for Expression Studies of Xenobiotic Adaptation in Tetranychus urticae |
title_short | Selection of Reference Genes for Expression Studies of Xenobiotic Adaptation in Tetranychus urticae |
title_sort | selection of reference genes for expression studies of xenobiotic adaptation in tetranychus urticae |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4997057/ https://www.ncbi.nlm.nih.gov/pubmed/27570487 http://dx.doi.org/10.7150/ijbs.16319 |
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