Abstract
Normalization based on inappropriate reference gene may lead to the reduction of the accuracy of RT-qPCR. Although determination of suitable reference genes is essential to RT-qPCR studies, reports on the evaluation of reference genes in Ulva linza, a ubiquitous green-tide forming alga, are lacking. The expression levels of ten candidate reference genes were analyzed in U. linza across different experimental treatments, and the best-ranked reference genes differed across the treatments. The most suitable reference genes were tubulin2 (TUB2) among different salinity and UV treatments. Histone 2 (H2) was stably expressed in different temperature and desiccation stress treatments. 18S rRNA exhibited better expression stability in different light intensity treatments. While all tested samples were considered, none of single gene was widely applicable as a reference gene. Moreover, using a combination of two genes as reference genes might improve the reliability of gene expression by RT-qPCR, and the combination of TUB1 and TUB2 was selected as ideal for all tested samples. The results suggest that assessing the stability of reference gene expression patterns, determining candidates, and testing their suitability are required for each experimental investigation. The results will guide the selection of reference genes for gene expression studies in U. linza.
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Andersen CL, Jensen JL, Orntoft TF (2004) Normalization of real-time quantitative reverse transcription-PCR data: a model-based variance estimation approach to identify genes suited for normalization, applied to bladder and colon cancer data sets. Cancer Res 64:5245–5250
Bäck S, Lehvo A, Blomster J (2000) Mass occurrence of unattached Enteromorpha intestinalis on the Finnish Baltic Sea coast. Ann Bot Fennici 37:155–161
Bustin SA (2002) Quantification of mRNA using real-time reverse transcription PCR RT-PCR: trends and problems. J Mol Endocrinol 29:23–29
Contreras-Porcia L, Dennett G, González A, Vergara E, Medina C, Correa J, Moenne A (2011) Identification of copper-induced genes in the marine alga Ulva compressa (Chlorophyta). Mar Biotechnol 13:544–556
Czechowski T, Stitt M, Altmann T, Udvardi MK, Scheible WR (2005) Genome-wide identification and testing of superior reference genes for transcript normalization in Arabidopsis. Plant Physiol 139(1):5–17
Dong M, Zhang X, Zhuang Z, Zou J, Ye N, Xu D, Mou S, Liang C, Wang W (2011) Characterization of the LhcSR gene under light and temperature stress in the green alga Ulva linza. Plant Mol Biol Rep. doi:10.1007/s11105-011-0311-8
Exposito-Rodriguez M, Borges AA, Borges-Perez A, Perez JA (2008) Selection of internal control genes for quantitative real-time RT-PCR studies during tomato development process. BMC Plant Biol 8:131
Gutierrez L, Mauriat M, Guenin S, Pelloux J, Lefebvre JF, Louvet R, Rusterucci C, Moritz T, Guerineau F, Bellini C, Wuytswinkel OV (2008a) The lack of a systematic validation of reference genes: a serious pitfall undervalued in reverse transcription-polymerase chain reaction (RT-PCR) analysis in plants. Plant Biotechnol J 6(6):609–618
Gutierrez L, Mauriat M, Pelloux J, Bellini C, Van Wuytswinkel O (2008b) Towards a systematic validation of references in real-time RT-PCR. Plant Cell 20(7):1734–1735
Holland MJ (2002) Transcript abundance in yeast varies over six orders of magnitude. J Biol Chem 277:14363–14366
Hong SY, Seo PJ, Yang MS, Xiang F, Park CM (2008) Exploring valid reference genes for gene expression studies in Brachypodium distachyon by real-time PCR. BMC Plant Biol 8:112
Hu R, Fan C, Li H, Zhang Q, Fu Y (2009) Evaluation of putative reference genes for gene expression normalization in soybean by quantitative real-time RT-PCR. BMC Mol Biol. doi:10.1186/1471-2199-10-93
Huis R, Hawkins S, Neutelings G (2010) Selection of reference genes for quantitative gene expression normalization in flax (Linum usitatissimum L.). BMC Plant Biol 10:71
Koziol AG, Borza T, Ishida KI, Keeling P, Lee RW, Durnford DG (2007) Tracing the evolution of the light harvesting antennae in chlorophyll a/b-containing organisms. Plant Physiol 143:1802–1816
Le Bail A, Dittami SM, Franco PD, Rousvoal S, Cock MJ, Tonon T, Charrier B (2008) Normalisation genes for expression analyses in the brown alga model Ectocarpus siliculosus. BMC Mol Biol 9:75
Lee JM, Roche JR, Donaghy DJ, Thrush A, Sathish P (2010) Validation of reference genes for quantitative RTPCR studies of gene expression in perennial ryegrass (Lolium perenne L.). BMC Mol Biol 11:8
Li X-P, Bjo¨rkman O, Shih C, Grossman AR, Rosenquist M, Jansson S, Niyogi KK (2000) A pigment-binding protein essential for regulation of photosynthetic light harvesting. Nature 403:391–395
Li Q, Sun S, Yuan D, Yu H, Gu M, Liu Q (2010) Validation of candidate reference genes for the accurate normalization of real-time quantitative RT-PCR data in rice during seed development. Plant Mol Biol Rep 28:49–57
Lin YL, Lai ZX (2010) Reference gene selection for qPCR analysis during somatic embryogenesis in longan tree. Plant Sci 178:359–365
Livak KJ, Schmittgen TD (2001) Analysis of relative gene expression data using real-time quantitative PCR and the 2−ΔΔCT method. Methods 25:402–408
Lossos IS, Czerwinski DK, Wechser MA, Levy R (2003) Optimization of quantitative real-time RT-PCR parameters for the study of lymphoid malignancies. Leukemia 17(4):789–795
Mallona I, Lischewski S, Weiss J, Hause B, Egea-Cortines M (2010) Validation of reference genes for quantitative real-time PCR during leaf and flower development in Petunia hybrida. BMC Plant Biol 10:4
Maroufi A, Bockstaele EV, Loose MD (2010) Validation of reference genes for gene expression analysis in chicory (Cichorium intybus) using quantitative real-time PCR. BMC Mol Biol 11:15
Nicot N, Hausman JF, Hoffmann L, Evers D (2005) Housekeeping gene selection for real-time RT-PCR normalization in potato during biotic and abiotic stress. J Exp Bot 56:2907–2914
Nolan T, Hands RE, Bustin SA (2006) Quantification of mRNA using real-time PCR. Nat Protoc 1:1559–1582
Ohl F, Jung M, Xu C, Stephan C, Rabien A, Burkhardt M, Nitsche A, Kristiansen G, Loening SA, Radonic A, Jung K (2005) Gene expression studies in prostate cancer tissue: which reference gene should be selected for normalization? J Mol Med 83(12):1014–1024
Paolacci AR, Tanzarella OA, Porceddu E, Ciaffi M (2009) Identification and validation of reference genes for quantitative RT-PCR normalization in wheat. BMC Mol Biol 10(1):11
Pfaffl MW, Tichopad A, Prgomet C, Neuvians TP (2004) Determination of stable housekeeping genes, differentially regulated target genes and sample integrity: BestKeeper–Excelbased tool using pair-wise correlations. Biotechnol Lett 26:509–515
Radonic A, Thulke S, Mackay IM, Landt O, Siegert W, Nitsche A (2004) Guideline to reference gene selection for quantitative realtime PCR. Biochem Biophys Res Commun 313(4):856–862
Remans T, Smeets K, Opdenakker K, Mathijsen D, Vangronsveld J, Cuypers A (2008) Normalisation of real-time RT-PCR gene expression measurements in Arabidopsis thaliana exposed to increased metal concentrations. Planta 227(6):1343–1349
Schmidt GW, Delaney SK (2010) Stable internal reference genes for normalization of real-time RT-PCR in tobacco (Nicotiana tabacum) during development and abiotic stress. Mol Genet Genomics 283:233–241
Sung M, Hsu Y, Ho K, Lee T (2010) Implications of the Up-regulation of genes encoding protein degradation enzymes and heat shock protein 90 for intertidal green macroalga Ulva fasciata against hypersalinity-induced protein oxidation. Mar Biotechnol. doi:10.1007/s10126-010-9330-y
Thellin O, Zorzi W, Lakaye B, De Borman B, Coumans B, Henne G, Grisar T, Igout A, Heinen E (1999) Housekeeping genes as internal standards: use and limits. J Biotechnol 75(2–3):191–195
Tominaga H, Coury DA, Amano H, Kakinuma M (2010) Isolation and characterization of a cDNA encoding a heat shock protein 70 from a sterile mutant of Ulva pertusa (Ulvales, Chlorophyta). Ecotoxicology 19:577–588
Tricarico C, Pinzani P, Bianchi S, Paglierani M, Distante V, Pazzagli M, Bustin SA, Orlando C (2002) Quantitative real-time reverse transcription polymerase chain reaction: normalization to rRNA or single housekeeping genes is inappropriate for human tissue biopsies. Anal Biochem 309:293–300
Vandesompele J, De Preter K, Pattyn F, Poppe B, Van Roy N, De Paepe A, Speleman F (2002) Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes. Genome Biol 3(7):RESEARCH0034
Volkov RA, Panchuk II, Schoffl F (2003) Heat-stress dependency and developmental modulation of gene expression: the potential of house-keeping genes as internal standards in mRNA expression profiling using real-time RT-PCR. J Exp Bot 54:2343–2349
Walker CG, Meier S, Mitchell MD, Roche JR, Littlejohn M (2009) Evaluation of real-time PCR endogenous control genes for analysis of gene expression in bovine endometrium. BMC Mol Biol 31:100. doi:10.1186/1471-2199-10-100
Wan H, Zhao Z, Qian C, Sui Y, Malik AA, Chen J (2010) Selection of appropriate reference genes for gene expression studies by quantitative real-time polymerase chain reaction in cucumber. Anal Biochem 399:257–261
Ye NH, Zhuang ZM, Jin XS, Wang QY, Zhang XW, Li DM, Wang HX, Mao YZ, Jiang ZJ, Li B, Xue ZX (2008) China is on the tracking Enteromorpha spp. forming green tide. Available at: http://hdl.handle.net/10101/npre.2008.2352.1
Ye N, Zhang X, Mao Y, Liang C, Xu D, Zou J, Zhuang Z, Wang Q (2011) ‘Green tides’ are overwhelming the coastline of our blue planet: taking the world’s largest example. Ecol Res. doi 10.1007/s11284-011-0821-8
Zhang X, Wang H, Mao Y, Liang C, Zhuang Z, Wang Q, Ye N (2010) Somatic cells serve as a potential propagule bank of Enteromorpha prolifera forming a green tide in the Yellow Sea, China. J Appl Phycol 22(2):173–180
Zhang X, Xu D, Mao Y, Li Y, Xue S, Zou J, Lian W, Liang C, Zhuang Z, Wang Q, Ye N (2011) Settlement of vegetative fragments of Ulva prolifera confirmed as an important seed source for succession of a large-scale green tide bloom. Limonol Oceanogr 56(1):233–242
Zhong H, Chen J, Li C, Chen L, Wu J, Chen J, Lu W, Li G (2011) Selection of reliable reference genes for expression studies by reverse transcription quantitative real-time PCR in litchi under different experimental conditions. Plant Cell Rep 30:641–653
Acknowledgments
This work was supported by National special fund for transgenic project (2009ZX08009-019B), the Hi-Tech Research and Development Program (863) of China (2009AA10Z106), Natural Science Foundation of Shandong Province (2009ZRA02075), Qingdao Municipal Science and Technology plan project (09-2-5-8-hy, 10-4-1-13-hy) and the National Science & Technology Pillar Program (2008BAD95B11).
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Communicated by F.-A. Wollman.
M. Dong and X. Zhang are contributed equally to this work.
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Dong, M., Zhang, X., Chi, X. et al. The validity of a reference gene is highly dependent on the experimental conditions in green alga Ulva linza . Curr Genet 58, 13–20 (2012). https://doi.org/10.1007/s00294-011-0361-3
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DOI: https://doi.org/10.1007/s00294-011-0361-3