Home LiteratureArticle Details
PMID: 19102748 Published · epublish English Journal Article Research Support, Non-U.S. Gov't

Selection of internal control genes for quantitative real-time RT-PCR studies during tomato development process.

BMC plant biology ·Vol. 8 ·2008-12-22 ·Pages 131

Expósito-Rodríguez M, Borges AA, Borges-Pérez A, Pérez JA

Abstract

The elucidation of gene expression patterns leads to a better understanding of biological processes. Real-time quantitative RT-PCR has become the standard method for in-depth studies of gene expression. A biologically meaningful reporting of target mRNA quantities requires accurate and reliable normalization in order to identify real gene-specific variation. The purpose of normalization is to control several variables such as different amounts and quality of starting material, variable enzymatic efficiencies of retrotranscription from RNA to cDNA, or differences between tissues or cells in overall transcriptional activity. The validity of a housekeeping gene as endogenous control relies on the stability of its expression level across the sample panel being analysed. In the present report we describe the first systematic evaluation of potential internal controls during tomato development process to identify which are the most reliable for transcript quantification by real-time RT-PCR. In this study, we assess the expression stability of 7 traditional and 4 novel housekeeping genes in a set of 27 samples representing different tissues and organs of tomato plants at different developmental stages. First, we designed, tested and optimized amplification primers for real-time RT-PCR. Then, expression data from each candidate gene were evaluated with three complementary approaches based on different statistical procedures. Our analysis suggests that SGN-U314153 (CAC), SGN-U321250 (TIP41), SGN-U346908 ("Expressed") and SGN-U316474 (SAND) genes provide superior transcript normalization in tomato development studies. We recommend different combinations of these exceptionally stable housekeeping genes for suited normalization of different developmental series, including the complete tomato development process. This work constitutes the first effort for the selection of optimal endogenous controls for quantitative real-time RT-PCR studies of gene expression during tomato development process. From our study a tool-kit of control genes emerges that outperform the traditional genes in terms of expression stability.

MeSH Terms
Gene Expression Profiling Gene Expression Regulation, Developmental Gene Expression Regulation, Plant Genes, Plant Lycopersicon esculentum/genetics RNA, Messenger/genetics RNA, Plant/genetics Reference Standards Reproducibility of Results Reverse Transcriptase Polymerase Chain Reaction/methods,standards
Chemicals
RNA, Messenger RNA, Plant
Authors & Affiliations
4 authors, click to expand affiliations / ORCID
Expósito-Rodríguez Marino
Instituto de Productos Naturales y Agrobiología - CSIC, Avda, Astrofísico Francisco Sánchez 3, 38206 La Laguna, Tenerife, Canary Islands, Spain. [email protected]
Borges Andrés A
Borges-Pérez Andrés
Pérez José A
References (39)
39 references, click to expand
  1. The implications of using an inappropriate reference gene for real-time reverse transcription PCR data normalization.
    Anal Biochem. 2005 Sep 1;344(1):141-3 PMID: 16054107
  2. Regulation of hypoxanthine phosphoribosyltransferase, glyceraldehyde-3-phosphate dehydrogenase and beta-actin mRNA expression in porcine immune cells and tissues.
    Anim Biotechnol. 1998;9(1):67-78 PMID: 9676236
  3. Evaluation of reference genes for studies of gene expression in human adipose tissue.
    Obes Res. 2005 Apr;13(4):649-52 PMID: 15897472
  4. Validation of housekeeping genes for normalizing RNA expression in real-time PCR.
    Biotechniques. 2004 Jul;37(1):112-4, 116, 118-9 PMID: 15283208
  5. qBase relative quantification framework and software for management and automated analysis of real-time quantitative PCR data.
    Genome Biol. 2007;8(2):R19 PMID: 17291332
  6. Real-time RT-PCR profiling of over 1400 Arabidopsis transcription factors: unprecedented sensitivity reveals novel root- and shoot-specific genes.
    Plant J. 2004 Apr;38(2):366-79 PMID: 15078338
  7. Housekeeping genes as internal standards: use and limits.
    J Biotechnol. 1999 Oct 8;75(2-3):291-5 PMID: 10617337
  8. Genome-wide identification and testing of superior reference genes for transcript normalization in Arabidopsis.
    Plant Physiol. 2005 Sep;139(1):5-17 PMID: 16166256
  9. Validation of housekeeping genes as internal control for studying gene expression in rice by quantitative real-time PCR.
    Biochem Biophys Res Commun. 2006 Jun 30;345(2):646-51 PMID: 16690022
  10. Selection of candidate housekeeping controls in tomato plants using EST data.
    Biotechniques. 2003 Oct;35(4):740-2, 744, 746 passim PMID: 14579739
  11. 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. 2004 Aug 1;64(15):5245-50 PMID: 15289330
  12. Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes.
    Genome Biol. 2002 Jun 18;3(7):RESEARCH0034 PMID: 12184808
  13. Statistical modeling for selecting housekeeper genes.
    Genome Biol. 2004;5(8):R59 PMID: 15287981
  14. Generic normalization method for real-time PCR. Application for the analysis of the mannanase gene expressed in germinating tomato seed.
    FEBS J. 2006 Feb;273(4):770-7 PMID: 16441663
  15. Primer3 on the WWW for general users and for biologist programmers.
    Methods Mol Biol. 2000;132:365-86 PMID: 10547847
  16. Validating internal controls for quantitative plant gene expression studies.
    BMC Plant Biol. 2004 Aug 18;4:14 PMID: 15317655
  17. An optimized grapevine RNA isolation procedure and statistical determination of reference genes for real-time RT-PCR during berry development.
    BMC Plant Biol. 2006 Nov 14;6:27 PMID: 17105665
  18. Quantification of cDNA generated by reverse transcription of total RNA provides a simple alternative tool for quantitative RT-PCR normalization.
    Biotechniques. 2006 Aug;41(2):156, 158, 160 passim PMID: 16925017
  19. Real-time PCR: what relevance to plant studies?
    J Exp Bot. 2004 Jul;55(402):1445-54 PMID: 15208338
  20. Auxin biosynthesis by the YUCCA flavin monooxygenases controls the formation of floral organs and vascular tissues in Arabidopsis.
    Genes Dev. 2006 Jul 1;20(13):1790-9 PMID: 16818609
  21. beta-Actin and GAPDH housekeeping gene expression in asthmatic airways is variable and not suitable for normalising mRNA levels.
    Thorax. 2002 Sep;57(9):765-70 PMID: 12200519
  22. Quantification of mRNA using real-time RT-PCR.
    Nat Protoc. 2006;1(3):1559-82 PMID: 17406449
  23. Beta-actin--an unsuitable internal control for RT-PCR.
    Mol Cell Probes. 2001 Oct;15(5):307-11 PMID: 11735303
  24. Control genes and variability: absence of ubiquitous reference transcripts in diverse mammalian expression studies.
    Genome Res. 2002 Feb;12(2):292-7 PMID: 11827948
  25. Real-time PCR for mRNA quantitation.
    Biotechniques. 2005 Jul;39(1):75-85 PMID: 16060372
  26. Selection and validation of a set of reliable reference genes for quantitative sod gene expression analysis in C. elegans.
    BMC Mol Biol. 2008 Jan 22;9:9 PMID: 18211699
  27. Evaluation of DNA microarray results with quantitative gene expression platforms.
    Nat Biotechnol. 2006 Sep;24(9):1115-22 PMID: 16964225
  28. Post-analysis follow-up and validation of microarray experiments.
    Nat Genet. 2002 Dec;32 Suppl:509-14 PMID: 12454646
  29. Effect of experimental treatment on housekeeping gene expression: validation by real-time, quantitative RT-PCR.
    J Biochem Biophys Methods. 2000 Nov 20;46(1-2):69-81 PMID: 11086195
  30. A new mathematical model for relative quantification in real-time RT-PCR.
    Nucleic Acids Res. 2001 May 1;29(9):e45 PMID: 11328886
  31. Twenty-five years of quantitative PCR for gene expression analysis.
    Biotechniques. 2008 Apr;44(5):619-26 PMID: 18474036
  32. Validation of internal control for gene expression study in soybean by quantitative real-time PCR.
    BMC Mol Biol. 2008 Jun 23;9:59 PMID: 18573215
  33. Comparison of in vitro and in vivo reference genes for internal standardization of real-time PCR data.
    Biotechniques. 2006 Feb;40(2):173-7 PMID: 16526406
  34. Control selection for RNA quantitation.
    Biotechniques. 2000 Aug;29(2):332-7 PMID: 10948434
  35. MEGA4: Molecular Evolutionary Genetics Analysis (MEGA) software version 4.0.
    Mol Biol Evol. 2007 Aug;24(8):1596-9 PMID: 17488738
  36. Comparison of human adult and fetal expression and identification of 535 housekeeping/maintenance genes.
    Physiol Genomics. 2000 Apr 27;2(3):143-7 PMID: 11015593
  37. Nanoliter high throughput quantitative PCR.
    Nucleic Acids Res. 2006;34(18):e123 PMID: 17000636
  38. Experimental validation of novel and conventional approaches to quantitative real-time PCR data analysis.
    Nucleic Acids Res. 2003 Jul 15;31(14):e73 PMID: 12853650
  39. Guideline to reference gene selection for quantitative real-time PCR.
    Biochem Biophys Res Commun. 2004 Jan 23;313(4):856-62 PMID: 14706621
Article Info
Journal
BMC plant biology
Abbr.
BMC Plant Biol
ISSN
1471-2229
Published
2008-12-22
Epub
2008-00-22
Pages
131
Language
English
Region
England
NLM ID
100967807
PMCID
PMC2629474
Subset
IM
Analysis Services
Analysis Services

Contact

No. 2 Wenbo Road, Zhangqiu District, Jinan, Shandong

Qilu Normal University · Genelibs Bioinformatics Lab

750 Shunhua Rd, Jinan

2F, Bldg F, University Science Park

Tel: 0531-88819269

WeChat Official Account

Follow our WeChat subscription account for real-time updates and the latest in medical and biological research.


Business Email

E-mail: [email protected]