TY - JOUR
T1 - 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
AU - Olbrich, Maren
AU - Gerstner, Elke
AU - Welzl, Gerhard
AU - Fleischmann, Frank
AU - Oßwald, Wolfgang
AU - Bahnweg, Günther
AU - Ernst, Dieter
N1 - Funding Information:
We are grateful to the staff of the Helmholtz Zentrum München, Department of Environmental Engineering, for their technical support during the greenhouse experiments. This research was financially supported by the Deutsche Forschungs-gemeinschaft (SFB 607) and in part by the EU network of excellence Evoltree.
PY - 2008
Y1 - 2008
N2 - 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), α-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.
AB - 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), α-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.
KW - Abiotic/biotic stress
KW - European beech (Fagus sylvatica)
KW - Housekeeping genes
KW - Quantitative real-time RT-PCR
UR - http://www.scopus.com/inward/record.url?scp=51649126177&partnerID=8YFLogxK
U2 - 10.1515/znc-2008-7-819
DO - 10.1515/znc-2008-7-819
M3 - Article
AN - SCOPUS:51649126177
SN - 0939-5075
VL - 63
SP - 574
EP - 582
JO - Zeitschrift fur Naturforschung - Section C Journal of Biosciences
JF - Zeitschrift fur Naturforschung - Section C Journal of Biosciences
IS - 7-8
ER -