Selection of optimal reference genes for quantitative RT-PCR transcript abundance analysis in white clover (Trifolium repens L.)
Rafael Narancio A B , Ulrik John A C , John Mason A B and German Spangenberg A BA Agriculture Victoria Research, AgriBio the Centre for AgriBioscience, La Trobe University, Melbourne, Vic 3086, Australia.
B School of Applied Systems Biology, La Trobe University, Melbourne, Vic 3086, Australia.
C Corresponding author. Email: ulrik.john@ecodev.vic.gov.au
Functional Plant Biology 45(7) 737-744 https://doi.org/10.1071/FP17304
Submitted: 1 November 2017 Accepted: 21 January 2018 Published: 16 February 2018
Abstract
Quantitative reverse transcription PCR (qRT-PCR) is a widely used method for transcript abundance analyses in plants. Relative quantification by qRT-PCR requires the use of a stably expressed reference gene. There are many ‘housekeeping’ genes reported in different plant species that are used as reference genes. However, it is important that the steady-state mRNA levels of these housekeeping genes are confirmed across different conditions and tissues in each species studied. Prior to this study, no comprehensive work had been performed in identifying optimal reference genes in white clover (Trifolium repens L.). To identify suitable reference genes in white clover, we analysed the transcript abundance stability of seven candidate genes in two organs (leaves and stolons) across two treatments (water-limited and well-watered). ΔCt, NormFinder and ANOVA tests were carried out to evaluate the mRNA level stability of candidate reference genes. According to the ΔCt results, the genes with the most stable mRNA levels were EF1α and ACT11. When stability among groups was evaluated by NormFinder, UBQ was the most stable across all organs and treatments. By multiple criteria, EF1α, followed by ACT11 and UBQ, was the most stably-expressed gene across organs and treatments, and each of these are recommended as reference genes for transcript abundance studies in white clover.
Additional keywords: ΔCt, housekeeping genes, mRNA level stability, NormFinder.
References
Abeynayake SW, Panter S, Chapman R, Webster T, Rochfort S, Mouradov A, Spangenberg G (2012) Biosynthesis of proanthocyanidins in white clover flowers: cross talk within the flavonoid pathway. Plant Physiology 158, 666–678.| Biosynthesis of proanthocyanidins in white clover flowers: cross talk within the flavonoid pathway.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC38XltVOkt7c%3D&md5=7536b59b2d5b045bbb132c3faa9c2788CAS |
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 Research 64, 5245–5250.
| 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.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2cXmtF2mtbg%3D&md5=4a59f08895f509dea9d9abd4fb75e52cCAS |
Brunner AM, Yakovlev IA, Strauss SH (2004) Validating internal controls for quantitative plant gene expression studies. BMC Plant Biology 4, 14
| Validating internal controls for quantitative plant gene expression studies.Crossref | GoogleScholarGoogle Scholar |
Bustin SA (2002) Quantification of mRNA using real-time reverse transcription PCR (RT-PCR): trends and problems. Journal of Molecular Endocrinology 29, 23–39.
| Quantification of mRNA using real-time reverse transcription PCR (RT-PCR): trends and problems.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD38XmvFOhu7s%3D&md5=3e03c96344be9b3b2ee5279040a79615CAS |
Czechowski T, Stitt M, Altmann T, Udvardi MK (2005) Genome-wide identification and testing of superior reference genes for transcript normalization. Plant Physiology 139, 5–17.
| Genome-wide identification and testing of superior reference genes for transcript normalization.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2MXhtVCgur7I&md5=5ad76524f0ed22c7031145c24bbf280aCAS |
Dhanasekaran S, Doherty TM, Kenneth J (2010) Comparison of different standards for real-time PCR-based absolute quantification. Journal of Immunological Methods 354, 34–39.
| Comparison of different standards for real-time PCR-based absolute quantification.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3cXjs12nsL4%3D&md5=d8dd2f992307894684ad6743fdf20d24CAS |
Ginzinger DG (2002) Gene quantification using real-time quantitative PCR. Experimental Hematology 30, 503–512.
| Gene quantification using real-time quantitative PCR.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD38XksFOksb8%3D&md5=79ed160cb608ec303a3d408a8fbe01a7CAS |
Gutierrez L, Mauriat M, Guénin S, Pelloux J, Lefebvre JF, Louvet R, Rusterucci C, Moritz T, Guerineau F, Bellini C, Van Wuytswinkel O (2008) 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 Biotechnology Journal 6, 609–618.
| The lack of a systematic validation of reference genes: a serious pitfall undervalued in reverse transcription-polymerase chain reaction (RT-PCR) analysis in plants.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1cXhtVWmtrfO&md5=67e23d05d00030c4010cfa576b637507CAS |
Hand ML, Cogan NOI, Sawbridge TI, Spangenberg GC, Forster JW (2010) Comparison of homoeolocus organisation in paired BAC clones from white clover (Trifolium repens L.) and microcolinearity with model legume species. BMC Plant Biology 10, 94
| Comparison of homoeolocus organisation in paired BAC clones from white clover (Trifolium repens L.) and microcolinearity with model legume species.Crossref | GoogleScholarGoogle Scholar |
Hu R, Fan C, Li H, Zhang Q, Fu YF (2009) Evaluation of putative reference genes for gene expression normalization in soybean by quantitative real-time RT-PCR. BMC Molecular Biology 10, 93
| Evaluation of putative reference genes for gene expression normalization in soybean by quantitative real-time RT-PCR.Crossref | GoogleScholarGoogle Scholar |
Jian B, Liu B, Bi Y, Hou W, Wu C, Han T (2008) Validation of internal control for gene expression study in soybean by quantitative real-time PCR. BMC Molecular Biology 9, 59
| Validation of internal control for gene expression study in soybean by quantitative real-time PCR.Crossref | GoogleScholarGoogle Scholar |
Kortner TM, Valen EC, Kortner H, Marjara IS, Krogdahl Å, Bakke AM (2011) Candidate reference genes for quantitative real-time PCR (qPCR) assays during development of a diet-related enteropathy in Atlantic salmon (Salmo salar L.) and the potential pitfalls of uncritical use of normalization software tools. Aquaculture 318, 355–363.
| Candidate reference genes for quantitative real-time PCR (qPCR) assays during development of a diet-related enteropathy in Atlantic salmon (Salmo salar L.) and the potential pitfalls of uncritical use of normalization software tools.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3MXos1ymsr4%3D&md5=134d19f7a32d81d9b635484ee575a8acCAS |
Lee JM, Roche JR, Donaghy DJ, Thrush A, Sathish P (2010) Validation of reference genes for quantitative RT-PCR studies of gene expression in perennial ryegrass (Lolium perenne L.). BMC Molecular Biology 11, 8
| Validation of reference genes for quantitative RT-PCR studies of gene expression in perennial ryegrass (Lolium perenne L.).Crossref | GoogleScholarGoogle Scholar |
Martin RC, Hollenbeck VG, Dombrowski JE (2008) Evaluation of reference genes for quantitative RT-PCR in Lolium perenne. Crop Science 48, 1881–1887.
| Evaluation of reference genes for quantitative RT-PCR in Lolium perenne.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1cXht1Omt7vJ&md5=74d722518fd87c1a91478863ac9c30e4CAS |
Mehdi Khanlou K, Van Bockstaele E (2012) A critique of widely used normalization software tools and an alternative method to identify reliable reference genes in red clover (Trifolium pratense L.). Planta 236, 1381–1393.
| A critique of widely used normalization software tools and an alternative method to identify reliable reference genes in red clover (Trifolium pratense L.).Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC38XhsFKmtbnM&md5=76ba709bd87d614fe47087b852fd4890CAS |
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. Journal of Experimental Botany 56, 2907–2914.
| Housekeeping gene selection for real-time RT-PCR normalization in potato during biotic and abiotic stress.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2MXhtFCjt7jJ&md5=c7a0ef8b6169e527473cbf29f6dcfbe4CAS |
Nygard A, Jørgensen CB, Cirera S, Fredholm M (2007) Selection of reference genes for gene expression studies in pig tissues using SYBR green qPCR. BMC Molecular Biology 8, 67
| Selection of reference genes for gene expression studies in pig tissues using SYBR green qPCR.Crossref | GoogleScholarGoogle Scholar |
Obayashi T, Hayashi S, Saeki M, Ohta H (2009) ATTED-II provides coexpressed gene networks for Arabidopsis. Nucleic Acids Research 37, D987–D991.
| ATTED-II provides coexpressed gene networks for Arabidopsis.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1cXhsFejtLjN&md5=5406f69601717ae9d5f7341ebe230f36CAS |
Pfaffl MW (2001) A new mathematical model for relative quantification in real-time RT-PCR. Nucleic Acids Research 29, e45
| A new mathematical model for relative quantification in real-time RT-PCR.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DC%2BD38nis12jtw%3D%3D&md5=15aa2bf3061ac5fcd9c20e8f4dae7ce5CAS |
Robinson TL, Sutherland IA, Sutherland J (2007) Validation of candidate bovine reference genes for use with real-time PCR. Veterinary Immunology and Immunopathology 115, 160–165.
| Validation of candidate bovine reference genes for use with real-time PCR.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD28Xhtlaku7fL&md5=b78746ddb27efbef52a413e6e6ddea6dCAS |
Silver N, Best S, Jiang J, Thein SL (2006) Selection of housekeeping genes for gene expression studies in human reticulocytes using real-time PCR. BMC Molecular Biology 7, 33
| Selection of housekeeping genes for gene expression studies in human reticulocytes using real-time PCR.Crossref | GoogleScholarGoogle Scholar |
Taniguchi M, Miura K, Iwao H, Yamanaka S (2001) Quantitative assessment of DNA microarrays – comparison with Northern blot analyses. Genomics 71, 34–39.
| Quantitative assessment of DNA microarrays – comparison with Northern blot analyses.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD3MXjvFynsQ%3D%3D&md5=7789b9ae8c0ae36aef024c4005ffee6aCAS |
Tashiro RM, Philips JG, Winefield CS (2016) Identification of suitable grapevine reference genes for qRT-PCR derived from heterologous species. Molecular Genetics and Genomics 291, 483–492.
| Identification of suitable grapevine reference genes for qRT-PCR derived from heterologous species.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC2MXhtV2hsLnK&md5=4cae9319cd4fe96052abf6b212ea6eaaCAS |
Thellin O, Zorzi W, Lakaye B, De Borman B, Coumans B (1999) Housekeeping genes as internal standards: use and limits. Journal of Biotechnology 75, 291–295.
| Housekeeping genes as internal standards: use and limits.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DyaK1MXmsFajt74%3D&md5=8794c6d69f28cec0e8cae057af570f02CAS |
Untergasser A, Cutcutache I, Koressaar T, Ye J, Faircloth BC, Remm M, Rozen SG (2012) Primer3 –new capabilities and interfaces. Nucleic Acids Research 40, e115
| Primer3 –new capabilities and interfaces.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC38Xht1Kjs7nF&md5=53e3b337cd181e3047c5b095ce5449d1CAS |
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 Biology 3, research0034.1
| Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes.Crossref | GoogleScholarGoogle Scholar |
VanGuilder HD, Vrana KE, Freeman WM (2008) Twenty-five years of quantitative PCR for gene expression analysis. BioTechniques 44, 619–626.
| Twenty-five years of quantitative PCR for gene expression analysis.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1cXltlWru7c%3D&md5=054f622c76ad9af688c25c5eb5eb6ee5CAS |