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Identifying optimal reference genes for the normalization of microRNA expression in cucumber under viral stress

Cucumber green mottle mosaic virus (CGMMV) is an economically important pathogen and causes significant reduction of both yield and quality of cucumber (Cucumis sativus). Currently, there were no satisfied strategies for controlling the disease. A better understanding of microRNA (miRNA) expression...

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Autores principales: Liang, Chaoqiong, Hao, Jianjun, Meng, Yan, Luo, Laixin, Li, Jianqiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5854380/
https://www.ncbi.nlm.nih.gov/pubmed/29543906
http://dx.doi.org/10.1371/journal.pone.0194436
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author Liang, Chaoqiong
Hao, Jianjun
Meng, Yan
Luo, Laixin
Li, Jianqiang
author_facet Liang, Chaoqiong
Hao, Jianjun
Meng, Yan
Luo, Laixin
Li, Jianqiang
author_sort Liang, Chaoqiong
collection PubMed
description Cucumber green mottle mosaic virus (CGMMV) is an economically important pathogen and causes significant reduction of both yield and quality of cucumber (Cucumis sativus). Currently, there were no satisfied strategies for controlling the disease. A better understanding of microRNA (miRNA) expression related to the regulation of plant-virus interactions and virus resistance would be of great assistance when developing control strategies for CGMMV. However, accurate expression analysis is highly dependent on robust and reliable reference gene used as an internal control for normalization of miRNA expression. Most commonly used reference genes involved in CGMMV-infected cucumber are not universally expressed depending on tissue types and stages of plant development. It is therefore crucial to identify suitable reference genes in investigating the role of miRNA expression. In this study, seven reference genes, including Actin, Tubulin, EF-1α, 18S rRNA, Ubiquitin, GAPDH and Cyclophilin, were evaluated for the most accurate results in analyses using reverse transcription-quantitative polymerase chain reaction (RT-qPCR). Gene expression was assayed on cucumber leaves, stems and roots that were collected at different days post inoculation with CGMMV. The expression data were analyzed using algorithms including delta-Ct, geNorm, NormFinder, and BestKeeper as well as the comparative tool RefFinder. The reference genes were subsequently validated using miR159. The results showed that EF-1α and GAPDH were the most reliable reference genes for normalizing miRNA expression in leaf, root and stem samples, while Ubiquitin and EF-1α were the most suitable combination overall.
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spelling pubmed-58543802018-03-28 Identifying optimal reference genes for the normalization of microRNA expression in cucumber under viral stress Liang, Chaoqiong Hao, Jianjun Meng, Yan Luo, Laixin Li, Jianqiang PLoS One Research Article Cucumber green mottle mosaic virus (CGMMV) is an economically important pathogen and causes significant reduction of both yield and quality of cucumber (Cucumis sativus). Currently, there were no satisfied strategies for controlling the disease. A better understanding of microRNA (miRNA) expression related to the regulation of plant-virus interactions and virus resistance would be of great assistance when developing control strategies for CGMMV. However, accurate expression analysis is highly dependent on robust and reliable reference gene used as an internal control for normalization of miRNA expression. Most commonly used reference genes involved in CGMMV-infected cucumber are not universally expressed depending on tissue types and stages of plant development. It is therefore crucial to identify suitable reference genes in investigating the role of miRNA expression. In this study, seven reference genes, including Actin, Tubulin, EF-1α, 18S rRNA, Ubiquitin, GAPDH and Cyclophilin, were evaluated for the most accurate results in analyses using reverse transcription-quantitative polymerase chain reaction (RT-qPCR). Gene expression was assayed on cucumber leaves, stems and roots that were collected at different days post inoculation with CGMMV. The expression data were analyzed using algorithms including delta-Ct, geNorm, NormFinder, and BestKeeper as well as the comparative tool RefFinder. The reference genes were subsequently validated using miR159. The results showed that EF-1α and GAPDH were the most reliable reference genes for normalizing miRNA expression in leaf, root and stem samples, while Ubiquitin and EF-1α were the most suitable combination overall. Public Library of Science 2018-03-15 /pmc/articles/PMC5854380/ /pubmed/29543906 http://dx.doi.org/10.1371/journal.pone.0194436 Text en © 2018 Liang et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Liang, Chaoqiong
Hao, Jianjun
Meng, Yan
Luo, Laixin
Li, Jianqiang
Identifying optimal reference genes for the normalization of microRNA expression in cucumber under viral stress
title Identifying optimal reference genes for the normalization of microRNA expression in cucumber under viral stress
title_full Identifying optimal reference genes for the normalization of microRNA expression in cucumber under viral stress
title_fullStr Identifying optimal reference genes for the normalization of microRNA expression in cucumber under viral stress
title_full_unstemmed Identifying optimal reference genes for the normalization of microRNA expression in cucumber under viral stress
title_short Identifying optimal reference genes for the normalization of microRNA expression in cucumber under viral stress
title_sort identifying optimal reference genes for the normalization of microrna expression in cucumber under viral stress
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5854380/
https://www.ncbi.nlm.nih.gov/pubmed/29543906
http://dx.doi.org/10.1371/journal.pone.0194436
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