Literature DB >> 18811005

Quantification of mRNAs and housekeeping gene selection for quantitative real-time RT-PCR normalization in European beech (Fagus sylvatica L.) during abiotic and biotic stress.

Maren Olbrich1, Elke Gerstner, Gerhard Welzl, Frank Fleischmann, Wolfgang Osswald, Günther Bahnweg, Dieter Ernst.   

Abstract

Analyses of different plant stressors are often based on gene expression studies. Quantitative real-time RT-PCR (qRT-PCR) is the most sensitive method for the detection of low abundance transcripts. However, a critical point to note is the selection of housekeeping genes as an internal control. Many so-called 'housekeeping genes' are often affected by different stress factors and may not be suitable for use as an internal reference. We tested six housekeeping genes of European beech by qRT-PCR using the Sybr Green PCR kit. Specific primers were designed for 18S rRNA, actin, glyceraldehyde-3-phosphate dehydrogenase (GAPDH1, GAPDH2), a-tubulin, and ubiquitin-like protein. Beech saplings were treated with increased concentrations of either ozone or CO2. In parallel, the expression of these genes was analyzed upon pathogen infection with Phytophthora citricola. To test the applicability of these genes as internal controls under realistic outdoor conditions, sun and shade leaves of 60-year-old trees were used for comparison. The regulation of all genes was tested using a linear mixed-effect model of the R-system. Results from independent experiments showed that the only gene not affected by any treatment was actin. The expression of the other housekeeping genes varied more or less with the degree of stress applied. These results highlight the importance of undergoing an individual selection of internal control genes for different experimental conditions.

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Year:  2008        PMID: 18811005     DOI: 10.1515/znc-2008-7-819

Source DB:  PubMed          Journal:  Z Naturforsch C J Biosci        ISSN: 0341-0382


  7 in total

1.  Comparison of predictive methods and biological validation for qPCR reference genes in sunflower leaf senescence transcript analysis.

Authors:  Paula Fernandez; Julio A Di Rienzo; Sebastián Moschen; Guillermo A A Dosio; Luis A N Aguirrezábal; H Esteban Hopp; Norma Paniego; Ruth A Heinz
Journal:  Plant Cell Rep       Date:  2010-11-13       Impact factor: 4.570

2.  Synergistic biosynthesis of biphasic ethylene and reactive oxygen species in response to hemibiotrophic Phytophthora parasitica in tobacco plants.

Authors:  Soo Jin Wi; Na Ri Ji; Ky Young Park
Journal:  Plant Physiol       Date:  2012-03-02       Impact factor: 8.340

3.  Identification of reference genes for quantitative expression analysis of microRNAs and mRNAs in barley under various stress conditions.

Authors:  Jannatul Ferdous; Yuan Li; Nicolas Reid; Peter Langridge; Bu-Jun Shi; Penny J Tricker
Journal:  PLoS One       Date:  2015-03-20       Impact factor: 3.240

4.  De novo transcriptome assembly and analysis of differential gene expression in response to drought in European beech.

Authors:  Markus Müller; Sarah Seifert; Torben Lübbe; Christoph Leuschner; Reiner Finkeldey
Journal:  PLoS One       Date:  2017-09-05       Impact factor: 3.240

5.  Genomic selection of reference genes for real-time PCR in human myocardium.

Authors:  Anna P Pilbrow; Leigh J Ellmers; Michael A Black; Christine S Moravec; Wendy E Sweet; Richard W Troughton; A Mark Richards; Chris M Frampton; Vicky A Cameron
Journal:  BMC Med Genomics       Date:  2008-12-29       Impact factor: 3.063

6.  Identification and validation of housekeeping genes in brains of the desert locust Schistocerca gregaria under different developmental conditions.

Authors:  Matthias B Van Hiel; Pieter Van Wielendaele; Liesbet Temmerman; Sofie Van Soest; Kristel Vuerinckx; Roger Huybrechts; Jozef Vanden Broeck; Gert Simonet
Journal:  BMC Mol Biol       Date:  2009-06-09       Impact factor: 2.946

7.  Selection and Validation of Reference Genes for qRT-PCR Analysis in the Oil-Rich Tuber Crop Tiger Nut (Cyperus esculentus) Based on Transcriptome Data.

Authors:  Xue Bai; Tao Chen; Yuan Wu; Mingyong Tang; Zeng-Fu Xu
Journal:  Int J Mol Sci       Date:  2021-03-04       Impact factor: 5.923

  7 in total

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