期刊论文详细信息
BMC Research Notes
Validation of reference genes for gene expression analysis in olive (Olea europaea) mesocarp tissue by quantitative real-time RT-PCR
Joshua C Johnson1  Debashree L Ray2 
[1] Institute for Sustainability & Innovation, Victoria University, PO Box 14428, Melbourne, VIC 8001, Australia;College of Engineering & Science, Victoria University, PO Box 14428, Melbourne, VIC 8001, Australia
关键词: Gene expression;    Olea europaea;    qRT-PCR;    Reference genes;   
Others  :  1132728
DOI  :  10.1186/1756-0500-7-304
 received in 2014-02-10, accepted in 2014-05-12,  发布年份 2014
PDF
【 摘 要 】

Background

Gene expression analysis using quantitative reverse transcription PCR (qRT-PCR) is a robust method wherein the expression levels of target genes are normalised using internal control genes, known as reference genes, to derive changes in gene expression levels. Although reference genes have recently been suggested for olive tissues, combined/independent analysis on different cultivars has not yet been tested. Therefore, an assessment of reference genes was required to validate the recent findings and select stably expressed genes across different olive cultivars.

Results

A total of eight candidate reference genes [glyceraldehyde 3-phosphate dehydrogenase (GAPDH), serine/threonine-protein phosphatase catalytic subunit (PP2A), elongation factor 1 alpha (EF1-alpha), polyubiquitin (OUB2), aquaporin tonoplast intrinsic protein (TIP2), tubulin alpha (TUBA), 60S ribosomal protein L18-3 (60S RBP L18-3) and polypyrimidine tract-binding protein homolog 3 (PTB)] were chosen based on their stability in olive tissues as well as in other plants. Expression stability was examined by qRT-PCR across 12 biological samples, representing mesocarp tissues at various developmental stages in three different olive cultivars, Barnea, Frantoio and Picual, independently and together during the 2009 season with two software programs, GeNorm and BestKeeper. Both software packages identified GAPDH, EF1-alpha and PP2A as the three most stable reference genes across the three cultivars and in the cultivar, Barnea. GAPDH, EF1-alpha and 60S RBP L18-3 were found to be most stable reference genes in the cultivar Frantoio while 60S RBP L18-3, OUB2 and PP2A were found to be most stable reference genes in the cultivar Picual.

Conclusions

The analyses of expression stability of reference genes using qRT-PCR revealed that GAPDH, EF1-alpha, PP2A, 60S RBP L18-3 and OUB2 are suitable reference genes for expression analysis in developing Olea europaea mesocarp tissues, displaying the highest level of expression stability across three different olive cultivars, Barnea, Frantoio and Picual, however the combination of the three most stable reference genes do vary amongst individual cultivars. This study will provide guidance to other researchers to select reference genes for normalization against target genes by qPCR across tissues obtained from the mesocarp region of the olive fruit in the cultivars, Barnea, Frantoio and Picual.

【 授权许可】

   
2014 Ray and Johnson; licensee BioMed Central Ltd.

【 预 览 】
附件列表
Files Size Format View
20150304063140899.pdf 623KB PDF download
Figure 3. 78KB Image download
Figure 2. 62KB Image download
Figure 1. 25KB Image download
【 图 表 】

Figure 1.

Figure 2.

Figure 3.

【 参考文献 】
  • [1]Ponchel F, Toomes C, Bransfield K, Leong FT, Douglas SH, Field SL, Bell SM, Combaret V, Puisieux A, Mighell AJ, Robinson PA, Inglehearn CF, Isaacs JD, Markham AF: Real-time PCR based on SYBR-Green I fluorescence: An alternative to the TaqMan assay for a relative quantification of gene rearrangements, gene amplifications and micro gene deletions. BMC Biotechnol 2003, 3:18.
  • [2]Bustin SA, Benes V, Garson JA, Hellemans J, Huggett J, Kubista M, Mueller R, Nolan T, Pfaffl MW, Shipley GL, Vandesompele J, Wittwer CT: The MIQE guidelines: minimum information for publication of quantitative real-time PCR experiments. Clin Chem 2009, 55(4):611-622.
  • [3]Gamm M, Héloir M-C, Kelloniemi J, Poinssot B, Wendehenne D, Adrian M: Identification of reference genes suitable for qRT-PCR in grapevine and application for the study of the expression of genes involved in pterostilbene synthesis. Mol Genet Genomics 2011, 285(4):273-285.
  • [4]Hellemans J, Mortier G, Paepe AD, Speleman F, Vandesompele J: qBase relative quantification framework and software for management and automated analysis of real-time quantitative PCR data. Genome Biol 2007, 8:R19.
  • [5]Long XY, Liu YX, Rocheleau H, Ouellet T, Chen GY: Identification and validation of internal control genes for gene expression in wheat leaves infected by strip rust. Int J Plant Breed Genet 2011, 5(3):255-267.
  • [6]Huggett J, Bustin SA: Standardisation and reporting for nucleic acid quantification. 2011. [Accreditation and Quality Assurance - SpringerLink]
  • [7]Jarošová J, Kundu JK: Validation of reference genes as internal control for studying viral infections in cereals by quantitative real-time RT-PCR. BMC Plant Biol 2010, 10:146.
  • [8]Czechowski T, Stitt M, Altmann T, Udvardi MK, Scheible W-R: Genome-wide identification and testing of superior reference genes for transcript normalization in Arabidopsis. Am Soc Plant Biol 2005, 139(1):5-17.
  • [9]Hu R, Fan C, Li H, Zhang Q, Fu Y: Evaluation of putative reference genes for gene expression normalization in soybean by quantitative real-time RT-PCR. BMC Mol Biol 2009, 10:93.
  • [10]Artico S, Nardeli SM, Brilhante O, Grossi-de-Sa MF, Alves-Ferreira M: Identification and evaluation of new reference genes in Gossypium hirsutum for accurate normalization of real-time quantitative RT-PCR data. BMC Plant Biol 2010, 10:49.
  • [11]Vandesompele J, Preter KD, Pattyn F, Poppe B, Roy NV, Paepe AD, Speleman F: Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes. Genome Biol 2002, 3(7):research0034.1.
  • [12]Gutierrez L, Mauriat M, Guénin S, Pelloux J, Lefebvre JF, Louvet R, Rusterucci C, Moritz T, Guerineau F, Bellini C, Van Wuytswinkel O: 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 2008, 6(6):609-618.
  • [13]Schmittgen TD, Zakrajsek BA: Effect of experimental treatment on housekeeping gene expression: validation by real-time, quantitative RT-PCR. J Biochem Biophysiol 2000, 46(1–2):69-81.
  • [14]Pfaffl MW, Tichopad A, Prgomet C, Neuvians TP: Determination of stable housekeeping genes, differentially regulated target genes and sample integrity: BestKeeper – excel-based tool using pair-wise correlations. Biotechnol Lett 2004, 26:509-515.
  • [15]Andersen CL, Jensen JL, Ørntoft TF: 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. J Canc Res 2004, 64:5245-5250.
  • [16]Jain M, Nijhawan A, Tyagi AK JPK: Validation of housekeeping genes as internal control for studying gene expression in rice by quantitative real-time PCR. Biochem Biophys Res Commun 2006, 345:646-651.
  • [17]Reid K, Olsson N, Schlosser J, Peng F, Lund S: An optimized grapevine RNA isolation procedure and statistical determination of reference genes for real-time RT-PCR during berry development. BMC Plant Biol 2006, 6:27.
  • [18]Cruz F, Kalaoun S, Nobile P, Colombo C, Almeida J, Barros LMG, Romano E, Fátima Grossi-de-Sá M, Vaslin M, Alves-Ferreira M: Evaluation of coffee reference genes for relative expression studies by quantitative real-time RT-PCR. Mol Breed 2009, 23(4):607-616.
  • [19]Preedy VR: Olives and olive oil in health and disease prevention Elsevier. 2010.
  • [20]Choudhury N, Tan L, Truswell AS: Comparison of palmolein and olive oil: effects on plasma lipids and vitamin E in young adults. Am J Clin Nutr 1995, 61:1043-1051.
  • [21]Harwood JL, Aparicio R: Handbook of olive oil: Analysis and properties: Aspen. 2000.
  • [22]Harwood JL, Yaqoob P: Nutritional and health aspects of olive oil. Eur J Lipid Sci Technol 2002, 104:685-697.
  • [23]Sheppard S: Consumer attitudes to Australian extra virgin olive oil. Rural Industries Research and Development Corporation 2008.
  • [24]Quiles JL, Ramirez-Tortosa C, Yaqoob P: Olive oil and health. CAB International 2006.
  • [25]International Olive Oil Council: Olive product market report summary No 35. 2010.
  • [26]Alagna F, D'Agostino N, Torchia L, Servili M, Rao R, Pietrella M, Giuliano G, Chiusano ML, Baldoni L, Perrotta G: Comparative 454 pyrosequencing of transcripts from two olive genotypes during fruit development. BMC Genomics 2009, 10:399.
  • [27]Donaire L, Pedrola L, Rosa R, Llave C: High-throughput sequencing of RNA silencing-associated small RNAs in olive (Olea europaea L.). PLOS One 2011, 6(11):1-14.
  • [28]Yanik H, Turktas M, Dundar E, Hernandez P, Dorado G, Unver T: Genome-wide identification of alternate bearing-associated microRNAs (miRNAs) in olive (Olea europaea L.). BMC Plant Biol 2013, 13:10.
  • [29]Nonis A, Vezzaro A, Ruperti B: Evaluation of RNA extraction methods and identification of putative reference genes for real-time quantitative polymerase chain reaction expression studies on olive (Olea europaea L.) fruits. J Agric Food Chem 2012, 60(27):6855-6865.
  • [30]Resetic T, Stajner N, Bandelj D, Javornik B, Jakse J: Validation of candidate reference genes in RT-qPCR studies of developing olive fruit and expression analysis of four genes involved in fatty acids metabolism. Mol Breed 2013, 32:211-222.
  • [31]Uddin MJ, Cinar MU, Tesfaye D, Looft C, Tholen E, Schellander K: Age-related changes in relative expression stability of commonly used housekeeping genes in selected porcine tissues. BMC Res Notes 2011, 4:441.
  • [32]Maroufi A, Bockstaele EV, Loose MD: Validation of reference genes for gene expression analysis in chicory (Cichorium intybus) using quantitative real-time PCR. BMC Mol Biol 2010, 11:15.
  • [33]Expósito-Rodríguez M, Borges AA, Borges-Pérez A, Pérez JA: Selection of internal control genes for quantitative real-time RT-PCR studies during tomato development process. BMC Plant Biol 2008, 8:131.
  • [34]Nicot N, Hausman JF, Hoffmann L, Evers D: Housekeeping gene selection for real-time RT-PCR normalization in potato during biotic and abiotic stress. J Exp Bot 2005, 56(421):2907-2914.
  • [35]Jian B, Liu B, Bi Y, Hou W, Wu C, Han T: Validation of internal control for gene expression study in soybean by quantitative real-time PCR. BMC Mol Biol 2008, 9:59.
  • [36]Hoenemann C, Hohe A: Selection of reference genes for normalization of quantitative real-time PCR in cell cultures of Cyclamen persicum. Electron J Biotechnol 2011, 14(1):1-8.
  • [37]Kuijk E, Puy L, Tol H, Haagsman H, Colenbrander B, Roelen B: Validation of reference genes for quantitative RT-PCR studies in porcine oocytes and preimplantation embryos. BMC Dev Biol 2007, 7:58.
  • [38]Silveira ÉD, Alves-Ferreira M, Guimarães LA, Silva FR, Carneiro VT: Selection of reference genes for quantitative real-time PCR expression studies in the apomictic and sexual grass Brachiaria brizantha. BMC Plant Biol 2009, 9:84.
  • [39]Hong S, Seo P, Yang M, Xiang F, Park C: Exploring valid reference genes for gene expression studies in Brachypodium distachyon by real-time PCR. BMC Plant Biol 2008, 8:112.
  • [40]Gu Y, Li M, Zhang K, Chen L, Jiang A, Wang J, Li X: Evaluation of endogenous control genes for gene expression studies across multiple tissues and in the specific sets of fat and muscle-type samples of the pig. J Anim Breed Genet 2011, 128:319-325.
  • [41]Schroeder A, Mueller O, Stocker S, Salowsky R, Leiber M, Gassmann M, Lightfoot S, Menzel W, Granzow M, Ragg T: The RIN: an RNA integrity number for assigning integrity values to RNA measurements. BMC Mol Biol 2006, 7:3.
  • [42]Hall TA: BioEdit: a user-friendly biological sequence alignment editor and analysis program for Windows 95/98/NT. Nucleic Acids Symp Ser 1999, 41:95-98.
  文献评价指标  
  下载次数:12次 浏览次数:7次