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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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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. |
format | Online Article Text |
id | pubmed-5854380 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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