Hepatic reference gene selection in adult and juvenile female Atlantic salmon at normal and elevated temperatures

被引:20
作者
Anderson K.C. [1 ,2 ]
Elizur A. [1 ]
机构
[1] Faculty of Science, Health and Education, University of the Sunshine Coast, Maroochydore DC, QLD 4558
[2] Australian Seafood Cooperative Research Centre, Box 26, Mark Oliphant Building, Adelaide SA, 5042, Science 10 Park Adelaide, Laffer Drive, Bedford Park
关键词
Reference Gene; Candidate Reference Gene; Juvenile Salmon; Adult Experiment; Thermal Challenge;
D O I
10.1186/1756-0500-5-21
中图分类号
学科分类号
摘要
Background: The use of quantitative real-time polymerase chain reaction (qPCR) has become widespread due to its specificity, sensitivity and apparent ease of use. However, experimental error can be introduced at many stages during sample processing and analysis, and for this reason qPCR data are often normalised to an internal reference gene. The present study used three freely available algorithms (GeNorm, NormFinder and BestKeeper) to assess the stability of hepatically expressed candidate reference genes (Hprt1, Tbp, Ef1α1 and -tubulin) in two experiments. In the first, female Atlantic salmon (Salmo salar) broodstock of different ages were reared at either 14 or 22°C for an entire reproductive season, therefore a reference gene that does not respond to thermal challenge or reproductive condition was sought. In the second, estrogen treated juvenile salmon were maintained at the same temperatures for 14 days and a reference gene that does not respond to temperature or estrogen was required. Additionally, we performed independent statistic analysis to validate the outputs obtained from the program based analysis. Results: Based on the independent statistical analysis performed the stability of the genes tested was Tbp > Ef1α1 > Hprt1 > β-tubulin for the temperature/reproductive development experiment and Ef1α1 > Hprt1 > Tbp for the estrogen administration experiment (β-tubulin was not analysed). Results from the algorithms tested were quite ambiguous for both experiments; however all programs consistently identified the least stable candidate gene. BestKeeper provided rankings that were consistent with the independent analysis for both experiments. When an inappropriate candidate reference gene was used to normalise the expression of a hepatically expressed target gene, the ability to detect treatment-dependent changes in target gene expression was lost for multiple groups in both experiments. Conclusions: We have highlighted the need to independently validate the results of reference gene selection programs. In addition, we have provided a reference point for those wishing to study the effects of thermal challenge and/or hormonal treatment on gene stability in Atlantic salmon and other teleost species. © 2011 Anderson; licensee BioMed Central Ltd.
引用
收藏
相关论文
共 26 条
  • [1] Huggett J., Dheda K., Bustin S., Zumla A., Real-time RT-PCR normalisation
  • [2] strategies and considerations, Genes and Immunity, 6, 4, pp. 279-284, (2005)
  • [3] Bustin S.A., Vandesompele J., Pfaffl M.W., Standardization of qPCR and RT-qPCR: New guidelines seek to promote accurate interpretation of data and reliable results, Genetic Engineering & Biotechnology News, 29, (2009)
  • [4] Suzuki T., Higgins P.J., Crawford D.R., Control selection for RNA quantitation, BioTechniques, 29, 2, pp. 332-337, (2000)
  • [5] Vandesompele J., De Preter K., Pattyn F., Poppe B., Van Roy N., De Paepe A., Speleman F., Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes, Genome Biology, 3, (2002)
  • [6] Hansen M.C., Nielsen A.K., Molin S., Hammer K., Kilstrup M., Changes in rRNA levels during stress invalidates results from mRNA blotting: Fluorescence in situ rRNA hybridization permits renormalization for estimation of cellular mRNA levels, Journal of Bacteriology, 183, 16, pp. 4747-4751, (2001)
  • [7] Solanas M., Moral R., Escrich E., Unsuitability of using ribosomal RNA as loading control for Northern blot analyses related to the imbalance between messenger and ribosomal RNA content in rat mammary tumors, Analytical Biochemistry, 288, 1, pp. 99-102, (2001)
  • [8] Pfaffl M.W., Tichopad A., Prgomet C., Neuvians T.P., Determination of stable housekeeping genes, differentially regulated target genes and sample integrity: BestKeeper - Excel-based tool using pair-wise correlations, Biotechnology Letters, 26, 6, pp. 509-515, (2004)
  • [9] Dheda K., Huggett J.F., Chang J.S., Kim L.U., Bustin S.A., Johnson M.A., Rook G.A.W., Zumla A., The implications of using an inappropriate reference gene for real-time reverse transcription PCR data normalization, Analytical Biochemistry, 344, 1, pp. 141-143, (2005)
  • [10] Bustin S.A., Nolan T., Pitfalls of quantitative real-time reverse-transcription polymerase chain reaction, J Biomol Tech, 15, pp. 155-166, (2004)