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Using RNA-seq data to select reference genes for normalizing gene expression in apple roots

Gene expression in apple roots in response to various stress conditions is a less-explored research subject. Reliable reference genes for normalizing quantitative gene expression data have not been carefully investigated. In this study, the suitability of a set of 15 apple genes were evaluated for t...

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Autores principales: Zhou, Zhe, Cong, Peihua, Tian, Yi, Zhu, Yanmin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5608369/
https://www.ncbi.nlm.nih.gov/pubmed/28934340
http://dx.doi.org/10.1371/journal.pone.0185288
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author Zhou, Zhe
Cong, Peihua
Tian, Yi
Zhu, Yanmin
author_facet Zhou, Zhe
Cong, Peihua
Tian, Yi
Zhu, Yanmin
author_sort Zhou, Zhe
collection PubMed
description Gene expression in apple roots in response to various stress conditions is a less-explored research subject. Reliable reference genes for normalizing quantitative gene expression data have not been carefully investigated. In this study, the suitability of a set of 15 apple genes were evaluated for their potential use as reliable reference genes. These genes were selected based on their low variance of gene expression in apple root tissues from a recent RNA-seq data set, and a few previously reported apple reference genes for other tissue types. Four methods, Delta Ct, geNorm, NormFinder and BestKeeper, were used to evaluate their stability in apple root tissues of various genotypes and under different experimental conditions. A small panel of stably expressed genes, MDP0000095375, MDP0000147424, MDP0000233640, MDP0000326399 and MDP0000173025 were recommended for normalizing quantitative gene expression data in apple roots under various abiotic or biotic stresses. When the most stable and least stable reference genes were used for data normalization, significant differences were observed on the expression patterns of two target genes, MdLecRLK5 (MDP0000228426, a gene encoding a lectin receptor like kinase) and MdMAPK3 (MDP0000187103, a gene encoding a mitogen-activated protein kinase). Our data also indicated that for those carefully validated reference genes, a single reference gene is sufficient for reliable normalization of the quantitative gene expression. Depending on the experimental conditions, the most suitable reference genes can be specific to the sample of interest for more reliable RT-qPCR data normalization.
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spelling pubmed-56083692017-10-09 Using RNA-seq data to select reference genes for normalizing gene expression in apple roots Zhou, Zhe Cong, Peihua Tian, Yi Zhu, Yanmin PLoS One Research Article Gene expression in apple roots in response to various stress conditions is a less-explored research subject. Reliable reference genes for normalizing quantitative gene expression data have not been carefully investigated. In this study, the suitability of a set of 15 apple genes were evaluated for their potential use as reliable reference genes. These genes were selected based on their low variance of gene expression in apple root tissues from a recent RNA-seq data set, and a few previously reported apple reference genes for other tissue types. Four methods, Delta Ct, geNorm, NormFinder and BestKeeper, were used to evaluate their stability in apple root tissues of various genotypes and under different experimental conditions. A small panel of stably expressed genes, MDP0000095375, MDP0000147424, MDP0000233640, MDP0000326399 and MDP0000173025 were recommended for normalizing quantitative gene expression data in apple roots under various abiotic or biotic stresses. When the most stable and least stable reference genes were used for data normalization, significant differences were observed on the expression patterns of two target genes, MdLecRLK5 (MDP0000228426, a gene encoding a lectin receptor like kinase) and MdMAPK3 (MDP0000187103, a gene encoding a mitogen-activated protein kinase). Our data also indicated that for those carefully validated reference genes, a single reference gene is sufficient for reliable normalization of the quantitative gene expression. Depending on the experimental conditions, the most suitable reference genes can be specific to the sample of interest for more reliable RT-qPCR data normalization. Public Library of Science 2017-09-21 /pmc/articles/PMC5608369/ /pubmed/28934340 http://dx.doi.org/10.1371/journal.pone.0185288 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication.
spellingShingle Research Article
Zhou, Zhe
Cong, Peihua
Tian, Yi
Zhu, Yanmin
Using RNA-seq data to select reference genes for normalizing gene expression in apple roots
title Using RNA-seq data to select reference genes for normalizing gene expression in apple roots
title_full Using RNA-seq data to select reference genes for normalizing gene expression in apple roots
title_fullStr Using RNA-seq data to select reference genes for normalizing gene expression in apple roots
title_full_unstemmed Using RNA-seq data to select reference genes for normalizing gene expression in apple roots
title_short Using RNA-seq data to select reference genes for normalizing gene expression in apple roots
title_sort using rna-seq data to select reference genes for normalizing gene expression in apple roots
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5608369/
https://www.ncbi.nlm.nih.gov/pubmed/28934340
http://dx.doi.org/10.1371/journal.pone.0185288
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