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Title: | Selection of Appropriate Reference Genes for Gene Expression Analysis under Abiotic Stresses in Salix viminalis | Authors: | AMBROISE, Valentin Legay, Sylvain Guerriero, Gea Hausman, Jean-Francois CUYPERS, Ann Sergeant, Kjell |
Issue Date: | 2019 | Source: | INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 20 (17), p. 4210-4210 | Abstract: | Salix viminalis is a fast growing willow species with potential as a plant used for biomass feedstock or for phytoremediation. However, few reference genes (RGs) for quantitative real-time polymerase chain reaction (qPCR) are available in S. viminalis, thereby limiting gene expression studies. Here, we investigated the expression stability of 14 candidate reference genes (RGs) across various organs exposed to five abiotic stresses (cold, heat, drought, salt, and poly-metals). Four RGs ranking algorithms, namely geNormPLUS, BestKeeper, NormFinder, and GrayNorm were applied to analyze the qPCR data and the outputs were merged into consensus lists with RankAggreg, a rank aggregation algorithm. In addition, the optimal RG combinations were determined with geNormPLUS and GrayNorm. The genes that were the most stable in the roots were TIP41 and CDC2. In the leaves, TIP41 was the most stable, followed by EF1b and ARI8, depending on the condition tested. Conversely, GAPDH and β-TUB, two genes commonly used for qPCR data normalization were the least stable across all organs. Nevertheless, both geNormPLUS and GrayNorm recommended the use of a combination of genes rather than a single one. These results are valuable for research of transcriptomic responses in different S. viminalis organs. | Notes: | Sergeant, K (reprint author), Luxembourg Inst Sci & Technol, Environm Res & Innovat ERIN Dept, 5 Ave Hauts Fourneaux, L-4362 Esch Sur Alzette, Luxembourg. kjell.sergeant@list.lu | Keywords: | real-time quantitative PCR; reference gene; BestKeeper; geNorm; GrayNorm; NormFinder; RankAggreg; Salix; abiotic stress | Document URI: | http://hdl.handle.net/1942/29789 | Link to publication/dataset: | https://www.mdpi.com/1422-0067/20/17/4210 | ISSN: | 1661-6596 | e-ISSN: | 1422-0067 | DOI: | 10.3390/ijms20174210 | ISI #: | 000486888400142 | Rights: | 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2020 |
Appears in Collections: | Research publications |
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ijms-20-04210.pdf | Published version | 1.21 MB | Adobe PDF | View/Open |
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