Abstract
Background
Reference genes are necessary for quantitative real-time PCR (qRT-PCR) analysis and their stability can directly influence the accuracy of gene expression result. Miscanthus sacchariflorus, a perennial C4 grass that serves as promising biofuel plant for temperate climates, has not been explored for the identification of stable reference genes yet.
Materials and methods
Nine potential reference genes (ACT, EF1a, FBOX, GAPDH, PP2A, SAND, TIP41, TUB and UBC) of M. sacchariflorus under different abiotic (salinity, drought and cadmium) stresses, as well as in two tissues (roots and leaves) were evaluated. The expression stability of these genes were analyzed by four commonly used software programs (geNorm, NormFinder, BestKeeper, ΔCt method and RefFinder).
Results
Our results found that FBOX and SAND are the most stable genes among all tested samples. FBOX and EF1a are suitable for gene expression normalization of cadmium-treated samples and salinity-treated leaves. FBOX and PP2A are appropriate reference genes for salt-stressed roots and PEG-treated leaves. The traditional reference gene ACT and GAPDH exhibited the most variable pattern, which would not be recommended for qRT-PCR analysis under different abiotic stresses. Furthermore, the expression levels of PIP2, NHX1 and MT2a under drought, salt and cadmium treatment were detected with above reference genes.
Conclusions
This work identified the appropriate reference genes for qRT-PCR in M. sacchariflorus and FBOX was recommended to be effective internal control for gene expression normalization in M. sacchariflorus in response to different abiotic stresses.
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References
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 3:34
Czechowski TStitt M, Altmann T, Udvardi MK, Scheible WR (2005) Genome-wide identification and testing of superior reference genes for transcript normalization in Arabidopsis. Plant Physiol 139:5–17
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
Li W, Qian YQ, Han L, Liu JX, Sun ZY (2014) Identification of suitable reference genes in buffalo grass for accurate transcript normalization under various abiotic stress conditions. Gene 547:55–62
Saraiva KC, Fernandes de Melo D, Morais V, Vasconcelos I, Costa J (2014) Selection of suitable soybean EF1α genes as internal controls for real-time PCR analyses of tissues during plant development and under stress conditions. Plant Cell Rep 33:1453–1465
Gao MM, Liu YP, Ma X, Shuai Q, Gai JY, Li Y (2017) Evaluation of reference genes for normalization of gene expression using quantitative RT-PCR under aluminum, cadmium, and heat stresses in soybean. PLoS ONE 12:e0168965
Zhang Y, Han X, Chen S, Zheng L, He X, Liu M, Qiao G, Wang Y, Zhuo R (2017) Selection of suitable reference genes for quantitative real-time PCR gene expression analysis in Salix matsudana under different abiotic stresses. Sci Rep 7:40290
Niu K, Shi Y, Ma H (2017) Selection of candidate reference genes for gene expression analysis in Kentucky Bluegrass (Poa pratensis L.) under abiotic stress. Front Plant Sci 8:193
Wang HL, Chen J, Tian Q, Wang S, Xia X, Yin W (2014) Identification and validation of reference genes for Populus euphratica gene expression analysis during abiotic stresses by quantitative real-time PCR. Physiol Plant 152:529–545
Yang Q, Yin J, Li G, Qi L, Yang F, Wang R (2014) Reference gene selection for qRT-PCR in Caragana korshinskii Kom. under different stress conditions. Mol Biol Rep 41:2325–2334
Chi C, Shen YQ, Yin LH, Ke XW, Han D, Zuo YH (2016) Selection and validation of reference genes for gene expression analysis in Vigna angularis using quantitative real-time RT-PCR. PLoS ONE 11:e0168479
Liu Y, Liu J, Xu L, Lai H, Chen Y, Yang Z, Huang B (2017) Identification and validation of reference genes for seashore paspalum response to abiotic stresses. Int J Mol Sci 18:1322
Demidenko NV, Logacheva MD, Penin AA (2011) Selection and validation of reference genes for quantitative real-time PCR in buckwheat (Fagopyrum esculentum) based on transcriptome sequence data. PLoS ONE 6:e19434
Marum L, Miguel A, Ricardo CP, Miguel C (2012) Reference gene selection for quantitative real-time PCR normalization in Quercus suber. PLoS ONE 7:e35113
Zhu J, Zhang L, Li W, Han S, Yang W, Qi L (2013) Reference gene selection for quantitative real-time PCR normalization in Caragana intermedia under different abiotic stress conditions. PLoS ONE 8:e53196
Atkinson CJ (2009) Establishing perennial grass energy crops in the UK: a review of current propagation options for Miscanthus. Biomass Bioenergy 33:752–759
Lalitha S (2005) Primer Premier 5. Biotech Softw Internet Rep 1:270–272
Ruijter JM, Ramakers C, Hoogaars WM, Karlen Y, Bakker O, Van den Hoff MJ, Moorman AF (2009) Amplification efficiency: linking baseline and bias in the analysis of quantitative PCR data. Nucleic Acids Res 37:e45
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
Pfaffl MW, Tichopad A, Prgomet C, Neuvians TP (2004) Determination of stable housekeeping genes, differentially regulated target genes and sample integrity: BestKeeper—Excel-based tool using pair-wise correlations. Biotechnol Lett 26:509–515
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 Mol Biol 7:33
Xie F, Xiao P, Chen D, Xu L, Zhang B (2012) miRDeepFinder: a miRNA analysis tool for deep sequencing of plant small RNAs. Plant Mol Biol 80:75–84
Pfaffl MW (2001) A new mathematical model for relative quantification in real-time RT-PCR. Nucleic Acids Res 29:e45
Chen Y, Chen C, Tan Z, Liu J, Zhuang L, Yang Z, Huang B (2016) Functional identification and characterization of genes cloned from halophyte seashore paspalum conferring salinity and cadmium tolerance. Front Plant Sci 7:102
Chen Y, Jiang J, Chang Q, Gu C, Song A, Chen S, Dong B, Chen F (2014) Cold acclimation induces freezing tolerance via antioxidative enzymes, proline metabolism and gene expression changes in two Chrysanthemum species. Mol Biol Rep 41:815–822
Chen Y, Jiang J, Song A, Chen S, Shan H, Luo H, Gu C, Sun J, Zhu L, Fang W et al (2013) Ambient temperature enhanced freezing tolerance of Chrysanthemum dichrum CdICE1 Arabidopsis via miR398. BMC Biol 11:121
Gimeno J, Eattock N, Van Deynze A, Blumwald E (2014) Selection and validation of reference genes for gene expression analysis in switchgrass (Panicum virgatum) using quantitative real-time RT-PCR. PLoS ONE 9:e91474
Chen Y, Tan Z, Hu B, Yang Z, Xu B, Zhuang L, Huang B (2015) Selection and validation of reference genes for target gene analysis with quantitative RT-PCR in leaves and roots of bermudagrass under four different abiotic stresses. Physiol Plant 155:138–148
Chen Y, Hu B, Tan Z, Liu J, Yang Z, Li Z, Huang B (2015) Selection of reference genes for quantitative real-time PCR normalization in creeping bentgrass involved in four abiotic stresses. Plant Cell Rep 34:1825–1834
Yang Z, Chen Y, Hu B, Tan Z, Huang B (2015) Identification and validation of reference genes for quantification of target gene expression with quantitative real-time PCR for tall fescue under four abiotic stresses. PLoS ONE 10:e0119569
Lin L, Han X, Chen Y, Wu Q, Wang Y (2013) Identification of appropriate reference genes for normalizing transcript expression by quantitative real-time PCR in Litsea cubeba. Mol Genet Genomics 288:727–737
He YH, Yan HL, Hua WP, Huang YY, Wang ZZ (2016) Selection and validation of reference genes for quantitative real-time PCR in gentiana macrophylla. Front Plant Sci 7:945
Kundu A, Patel A, Pal A (2013) Defining reference genes for qPCR normalization to study biotic and abiotic stress responses in Vigna mungo. Plant Cell Rep 32:1647–1658
Ma SH, Niu HW, Liu CJ, Zhang J, Hou CY, Wang DM (2013) Expression stabilities of candidate reference genes for RT-qPCR under different stress conditions in soybean. PLoS ONE 8:e75271
Gu C, Chen S, Liu Z, Shan H, Luo H, Guan Z, Chen F (2011) Reference gene selection for quantitative real-time PCR in Chrysanthemum subjected to biotic and abiotic stress. Mol Biotechnol 49:192–7
Lovdal T, Lillo C (2009) Reference gene selection for quantitative real-time PCR normalization in tomato subjected to nitrogen, cold, and light stress. Anal Biochem 387:238–242
Reid KE, Olsson N, Schlosser J, Peng F, Lund ST (2006) An optimized grapevine RNA isolation procedure and statistical determination of reference genes for real-time RT-PCR during berry development. BMC Plant Biol 6:27
Gu CS, Liu LQ, Zhao YH, Deng YM, Zhu XD, Huang SZ (2014) Overexpression of Iris. lactea var. chinensis metallothionein llMT2a enhances cadmium tolerance in Arabidopsis thaliana. Ecotoxicology and Environmental Safety 105: 22-28
Wu GQ, Xi JJ, Wang Q, Bao AK, Ma Q, Zhang JL, Wang SM (2011) The ZxNHX gene encoding tonoplast Na(+)/H(+) antiporter from the xerophyte Zygophyllum xanthoxylum plays important roles in response to salt and drought. J Plant Physiol 168:758–767
Funding
This work was supported by the the Program of National Natural Science Foundation of China (31771870, 31201262), Natural Science Foundation of Jiangsu Province (BK2012790) and Public Science and Technology Research Funds Projects of Ocean (201505023).
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JZ, JC, JL and JxL conceived the study and designed the experiments. JZ, JC and LL performed the experiments. JjL and DL analyzed the data with suggestions by JL and JxL. JW provided in material. JZ and JL wrote the manuscript. All authors read and approved the final manuscript.
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Zong, J., Chen, J., Li, L. et al. Reference gene selection for quantitative RT-PCR in Miscanthus sacchariflorus under abiotic stress conditions. Mol Biol Rep 49, 907–915 (2022). https://doi.org/10.1007/s11033-021-06902-z
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DOI: https://doi.org/10.1007/s11033-021-06902-z