Scientia Agricultura Sinica ›› 2017, Vol. 50 ›› Issue (12): 2399-2410.doi: 10.3864/j.issn.0578-1752.2017.12.020

• RESEARCH NOTES • Previous Articles    

Reference Genes Selection and System Establishment for Real-time qPCR Analysis in Ping’ou Hybrid Hazelnut (C. heterophylla Fisch. × C. avellana L.)

YANG Dan1, LI Qing2, WANG GuiXi2, MA QingHua2, ZHU LiQuan1   

  1. 1College of Agronomy and Biotechnology, Southwest University, Chongqing 400716; 2Research Institute of Forestry, Chinese Academy of Forestry/Key Laboratory of Forestry Silviculture of State Forestry Administration/State Key Laboratory of Tree Genetics and Breeding, Beijing 100091
  • Received:2016-10-19 Online:2017-06-16 Published:2017-06-16

Abstract: 【Objective】 The objective of this article is to construct a reference gene screening system of real-time qPCR in Ping’ou hybrid hazelnut (C. heterophylla Fisch × C. avellana L, main cultivars of Corylus in China) for gene expression analysis, and provide a theoretical basis for the study of plant resource utilization and innovative breeding. 【Method】 Eight candidate genes were selected from the transcriptome sequencing data of the non-pollination, compatible pollination and incompatible pollination stigma of Ping’ou hybrid hazelnut in authors’ previous study. Four candidate genes were selected from related articles. Eight different tissues or organs, such as the blooming styles, the catkins before elongation, the young leaves, the pollen, the cambium of annual branch, the green stem, the root tip and the sucker of the main cultivar of Ping’ou hybrid hazelnut ‘Dawei’ were used as the samples in reverse transcriptional PCR and real-time qPCR experiments. The expression stability of twelve candidate reference genes was analyzed by geNorm, NormFinder, BestKeeper, Delta Ct and RefFinder programs. 【Result】 Reverse transcriptional PCR showed that the amplification of twelve primers was specific, there were significant differences in the expression of ChaSTP5 and ChaTF in different materials, and the remaining candidate reference genes were expressed in eight tissues. Real-time qPCR showed that the expression of Ch18S rRNA was at the highest level and ChaSTP5 was at the lowest level, and the remaining ten candidate reference genes belong to moderate expression. As for the stability of the candidate genes, ChaSTP5 and ChaTF were the least stable, and the stability of the remaining ten candidate genes was at a moderate level. The results of geNorm, NormFinder, BestKeeper and Delta Ct showed that ChaActin was the most stable reference gene and Ch18S rRNA ranked in the top five, while the ranking of other candidate reference genes was different. The stability analysis indicated that ChaActin and Ch18S rRNA are suitable as reference genes. The pairwise variation (V) calculated by geNorm showed that six reference genes could accurately normalize the date of real-time qPCR. There was a significant correlation between the four programs at 0.01 level, and the correlation between NormFinder and Delta Ct was the highest, Delta Ct and BestKeeper was the lowest. 【Conclusion】 The reference gene screening system for real-time qPCR in Ping’ou hybrid hazelnut was set up including four main steps: primers were screened first by reverse transcriptional PCR, real-time qPCR analysis was based on primer properties and gene expression, primer stability was evaluated using four programs (geNorm, NormFinder, BestKeeper, Delta Ct) and the optimal stable reference gene was selected by the comprehensive analysis of RefFinder. As for the reference genes selection, ChaActin and Ch18S rRNA were ranked as the most stable reference genes in 8 samples.

Key words: Ping’ou hybrid hazelnut(C. heterophylla Fisch. ×, C. avellana L.), quantitative real-time PCR, reference gene, stability, system establishment

[1] Bassil N V, Botta R, Mehlenbacher S A. Microsatellite markers in hazelnut: isolation, characterization, and cross-species amplification. Journal of the American Society for Horticultural Science, 2005, 130(4): 543-549.
[2] Mehlenbacher S A. Genetic resources for hazelnut: state of the art and future perspectives. Acta Horticulturae, 2009, 845(1): 33-38.
[3] 梁维坚. 中国果树科学与实践. 榛. 西安: 陕西科学技术出版社, 2015.
Liang W J. The Science and Practice of Pomology in China Hazelnut. Xi’an: Shaanxi Science and Technology Press, 2015. (in Chinese)
[4] Mehlenbacher S A, Brown R N, Davis J W, Chen H, Bassil N V, Smith D C, Kubisiak T L. RAPD markers linked to eastern filbert blight resistance in Corylus avellana. Theoretical and Applied Genetics, 2004, 108(4): 651-656.
[5] Sathuvalli V R, Mehlenbacher S A. A hazelnut BAC library for map-based cloning of a disease resistance gene. Acta Horticulturae, 2009, 845(1):191-194
[6] Chen X, Zhang J, Liu Q Z, Guo W, Zhao T T, Ma Q H, Wang G X. Transcriptome sequencing and identification of cold tolerance genes in hardy Corylus species (C. heterophylla Fisch.) floral buds. PLoS One, 2014, 9(9): e108604.
[7] Zhao T T, Zhang J, Liang L S, Ma Q H, Chen X, Zong J W, Wang G X. Expression and functional analysis of WRKY transcription factors in Chinese wild hazel, Corylus heterophylla Fisch. PLoS One, 2015, 10(8): e0135315.
[8] Ma Q H, Wang G X, Liang W J, Chen X, Liang L S, Zhao T T. Progresses on the Compatibility in Corylus (Hazelnuts): A Review. Journal of Forestry Research, 2013, 24(3): 397-402.
[9] Mehlenbacher S A, Smith D C. Self-compatible seedlings of the Cutleaf hazelnut. HortScience, 2006, 41(2): 482-483.
[10] Marinoni D T, Beltramo C, Akkak A, Destefanis M L, Boccacci P, Botta R. Gene expression and sporophytic self-incompatibility in hazelnut. Acta Horticulturae, 2009, 845: 227-231.
[11] Bustin S A. Quantification of mRNA using real-time reverse transcription PCR (RT-PCR): trends and problems. Journal of Molecular Endocrinology, 2002, 29(1): 23-39.
[12] Gachon C, Mingam A, Charrier B. Real-time PCR: what relevance to plant studies? Journal of Experimental Botany, 2004, 55(42): 1445-1454.
[13] Bustin S A. Quantitative real-time RT-PCR–a perspective. Journal of molecular endocrinology, 2005, 34(3): 597-601.
[14] Pfaffl M W. A new mathematical model for relative quantification in Real-time RT-PCR. Nucleic Acids Research, 2001, 29(9): e45.
[15] Huggett J, Dheda K, Bustin S, Zumla A. Real-time RT-PCR normalisation; strategies and considerations. Genes and Immunity, 2005, 6(4): 279-284.
[16] Rubie C, Kempf K, Hans J, Su T, Tilton B, Georg T, Brittner B, Ludwig B, Schilling M. Housekeeping gene variability in normal and cancerous colorectal, pancreatic, esophageal, gastric and hepatic tissues. Molecular and Cellular Probes, 2005, 19(2): 101-109.
[17] Hong H Y, Seo P J, Yang M S, Xiang F N, Park C M. Exploring valid reference genes for gene expression studies in Brachypodium distachyon by real-time PCR. BMC plant biology, 2008, 8(1): 112.
[18] Gutierrez L, Mauriat M, Guénin S, Pelloux J, Lefebvre J F, Louvet R, Rusterucci C, Moritz T, Guerineau F, Bellini C, Van W 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 biotechnology journal, 2008, 6(6): 609-618.
[19] Andersen C L, Jensen J L, Orntoft T F. 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, 2004, 64(15): 5245-5250.
[20] Kozera B, Rapacz M. Reference genes in real-time PCR. Journal of Applied Genetics, 2013, 54(4): 391-406.
[21] Vandesompele J, De P K, Pattyn F, Poppe B, Van R N, De P A, Speleman F. Accurate normalization of Real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes. Genome Biology, 2002, 3(7): research0034.1-11.
[22] Pfaffl M W, Tichopad A, Prgomet C, Neuvians T P. Determination of stable housekeeping genes, differentially regulated target genes and sample integrity: Best Keeper-Excel-based tool using pair-wise correlations. Biotechnology Letters, 2004, 26(6): 509-515.
[23] Silver N, Best S, Jiang J, Thein S L. Selection of housekeeping genes for gene expression studies in human reticulocytes using real-time PCR. BMC Molecular Biology, 2006, 7(1): 33.
[24] 孟晓庆. 榛子成花基因的克隆及其表达特性分析[D]. 北京: 北京林业大学, 2003.
Meng X Q. Isolation and expression analysis of floral genes in hazelnut [D]. Beijing: Beijing Forestry University, 2003. (in Chinese)
[25] 陈新. 榛子花芽转录组文库的Solexa测序及冷调节基因的表达谱分析[D]. 北京: 中国林业科学研究院, 2011.
Chen X. De Novo characterization of hazelnut floral bud transcriptome using solexa sequencing and expression profiling analysis of cold-regulated genes [D]. Beijing: China Academy of forestry, 2011. (in Chinese)
[26] Beltramo C, Torello M D, Perrone I, Botta R. Isolation of a gene encoding for a class III peroxidase in female flower of Corylus avellana L. Molecular Biology Reports, 2012, 39(4): 4997-5008.
[27] Feng H, Huang X, Zhang Q, Wei G, Wang X, Kang Z. Selection of suitable inner reference genes for relative quantification expression of micro RNA in wheat. Plant Physiology and Biochemistry, 2012, 51:116-122.
[28] 戴超, 刘雪梅, 周菲. 白桦基因表达半定量RT-PCR中内参基因的选择. 经济林研究, 2011, 29(1): 34-39.
Dai C, Liu X M, Zhou F. Selection of internal control genes in semi-quantitative RT-PCR in Betula platyphylla. Nonwood Forest Research, 2012, 29(1): 34-39. (in Chinese)
[29] 蒋婷婷, 高燕会, 童再康. 石蒜属植物实时荧光定量 PCR 内参基因的选择. 园艺学报, 2015, 42(6): 1129-1138.
Jiang T T, Gao Y H, Tong Z K. Selection of reference genes for quantitative Real-time PCR in Lycoris. Acta Horticulturae Sinica, 2015, 42(6): 1129-1138. (in Chinese)
[30] 李冉, 李建彩, 周国鑫, 娄永根. 水稻虫害诱导相关基因实时定量PCR中内参基因的选择. 植物学报, 2013, 48 (2): 184-191.
Li R, Li J c, Zhou G x, Lou Y g. Validation of rice candidate reference genes for herbivore-induced quantitative Real-time PCR analysis. Chinese Bulletin of Botany, 2013, 48(2): 184-191. (in Chinese)
[31] 苏晓娟, 樊保国, 袁丽钗, 崔秀娜, 卢善发. 实时荧光定量PCR分析中毛果杨内参基因的筛选和验证. 植物学报, 2013, 48(5): 507-518.
Su X J, Fan B G, Yuan L C, Cui X N, Lu S F. Selection and validation of reference genes for quantitative RT-PCR analysis of gene expression in Populus trichocarpa. Bulletin of Botany, 2013, 48(5): 507-518. (in Chinese)
[32] 张岗, 赵明明, 张大为, 郭顺星. 铁皮石斛实时定量PCR内参基因的筛选. 中国药学杂志, 2013, 48(19): 1664-1668.
Zhang G, Zhao M M, Zhang D W, Guo S X. Reference gene selection for Real-time quantitative PCR analysis of Dendrobium officinale. Chinese Pharmaceutical Journal, 2013, 48(19): 1664-1668. (in Chinese)
[33] Kim B R, Nam H Y, Kim S U, Kim S I, Chang Y J. Normalization of reverse transcription quantitative-PCR with housekeeping genes in rice. Biotechnology Letter, 2003, 25(21): 1869-1872.
[34] Sang J, Han X J, Liu M Y, Qiao G R, Jiang J, Zhuo R Y. Selection and validation of reference genes for real-time quantitative PCR in hyperaccumulating ecotype of Sedum alfredii under different heavy metals stresses. PLoS One, 2013, 8(12): e82927.
[35] 朱友银, 王月, 张弘, 邵姁, 李永强, 郭卫东. 中国樱桃实时定量PCR(qRT-PCR)内参基因的筛选与鉴. 农业生物技术学报, 2015, 23(5): 690-700.
Zhu Y Y, Wang Y, Zhang H, Shao X, Li Y Q, Guo W D. Selection and characterization of reliable reference genes in chinese cherry (Prunus pseudocerasus) using quantitative real time PCR (qRT-PCR). Journal of Agricultural Biotechnology, 2015, 23(5): 690-700. (in Chinese)
[36] 刘洪峰, 高乐旋, 胡永红. 牡丹不同发育阶段种子和花瓣组织实时荧光定量PCR中内参基因的挖掘与筛选. 农业生物技术学报, 2015, 23(12): 1639-1648.
Liu H F, Gao L X, Hu Y H. Reference genes discovery and selection for quantitative real-time PCR in tree peony seed and petal tissue of different development stages. Journal of Agricultural Biotechnology, 2015, 23(12): 1639-1648. (in Chinese)
[37] Guo J L, Ling H, Wu Q B, Xu L P, Que Y X. The choice of reference genes for assessing gene expression in sugarcane under salinity and drought stresses. Scientific Reports, 2014, 4: 7042.
[1] QIAN ZhiJin, WANG XiNa, TIAN HaiMei, WANG YueMei, HAO WenYue, ZHOU Hui, TAN JunLi. Effects of Continuous Reduction Fertilization on the Stability of Spring Wheat Grain Quality in the Yellow River Irrigation Area of Ningxia [J]. Scientia Agricultura Sinica, 2025, 58(22): 4703-4717.
[2] LI ChengCheng, ZHANG MingWei, ZHANG Yan, LIU Guang, DENG YuanYuan, WEI ZhenCheng, LIAO Na, WANG JiaJia. The Stability of Sweet Corn Matrix-Based Total Nutrition Emulsion of Food for Special Medical Purposes [J]. Scientia Agricultura Sinica, 2025, 58(17): 3531-3543.
[3] WANG AnXin, FANG YaTing, DUN Qian, WU YongQing, LIAO ShiPeng, LI XiaoKun, REN Tao, LU ZhiFeng, CONG RiHuan, LU JianWei. Effects of Direct and Biochar-Based Straw Incorporation on Crop Yield and Nitrogen Uptake and Utilization in a Rice-Rapeseed Rotation System [J]. Scientia Agricultura Sinica, 2025, 58(16): 3280-3292.
[4] FANG Wen, LIU JunQuan, CUI Xin, LIU AiHua, FANG YaTing, CONG RiHuan, LU ZhiFeng, LI XiaoKun, REN Tao, LU JianWei. Characteristics of Crop Yield, Stability and Nitrogen Utilization in Rice-Rapeseed Rotation System Under Different Nitrogen Application Rates [J]. Scientia Agricultura Sinica, 2025, 58(16): 3220-3232.
[5] BU RongYan, CHENG WenLong, WU Ji, TANG Shan, LI Min, LU JianWei, JI GenXue, WANG Hui, ZHU Rui, JIANG FaHui, TANG MengMeng, HAN Shang. Organic-Inorganic Fertilization Application and Deep Tillage Enhance Productivity and Nutrient Use Efficiency in Rice-Rapeseed Rotations [J]. Scientia Agricultura Sinica, 2025, 58(16): 3178-3189.
[6] ZHAO BoHui, ZHANG YingQuan, JING DongLin, LIU BaoHua, CHENG YuanYuan, SU YuHuan, TANG Na, ZHANG Bo, GUO BoLi, WEI YiMin. A Study on the Quality Stability of Wheat Grains at Designated Locations Across Multiple Years [J]. Scientia Agricultura Sinica, 2024, 57(9): 1833-1844.
[7] LIAO HongJuan, TAN JiaSi, ZHANG ZhiBin, YU JingRong, ZHANG XinYue, JIANG YuMei, ZHU Du. Stability and Mechanism of Wheat Straw Fermentation Products of Chaetomium globosum Against Phytophthora capsici [J]. Scientia Agricultura Sinica, 2024, 57(3): 500-513.
[8] WANG YueMei, TIAN HaiMei, WANG XiNa, HAO WenYue, LÜ ZheMing, YU JinMing, TAN JunLi, WANG ZhaoHui. Effect of Continuous Reduction of Fertilizer Application on Yield Stability of Spring Wheat in Yellow River Irrigation Area of Ningxia [J]. Scientia Agricultura Sinica, 2024, 57(3): 539-554.
[9] LI TianJiao, ZHANG NaiYu, SHEN WenYan, SONG TianHao, LIU HongFang, LIU XiaoYan, ZHANG XiuZhi, PENG Chang, YANG JinFeng, ZHANG ShuXiang. Effects of Long-Term Fertilization on Soil Aggregate Stability and Its Driving Factors in Black Soil and Brown Soil [J]. Scientia Agricultura Sinica, 2024, 57(19): 3835-3847.
[10] SUN XiaoYan, JIN Feng, YANG XuChang, WANG FengJun, ZHOU Ye. Structural Composition and Stability of Oil Bodies from 5 Tree Nuts [J]. Scientia Agricultura Sinica, 2024, 57(10): 2023-2034.
[11] WANG ChunXiao, YU JunZhu, ZHOU WenYa, XU YinHu. Research Progress on the Application of Non-Saccharomyces During Wine Fermentation [J]. Scientia Agricultura Sinica, 2023, 56(3): 529-548.
[12] LONG FeiFei, ZHANG QingAn, ZHANG ZhiHua. Effects of Processing Technology on the Amandin Immunoreactivity and Digestive Stability of Apricot Kernel [J]. Scientia Agricultura Sinica, 2023, 56(24): 4930-4943.
[13] LIANG ChengZhen, ZANG YouYi, MENG ZhiGang, WANG Yuan, MUBASHIR Abbas, HE HaiYan, ZHOU Qi, WEI YunXiao, ZHANG Rui, GUO SanDui. Identification of Target Traits and Genetic Stability of Transgenic Cotton GGK2 [J]. Scientia Agricultura Sinica, 2023, 56(17): 3251-3260.
[14] LIU YuYing, SHEN Feng, YANG JinFeng, CAI FangFang, FU ShiFeng, LUO PeiYu, LI Na, DAI Jian, HAN XiaoRi. Variation Characteristics of Soybean Yield and Soil Nitrogen Distribution in Brown Soil Under Long-Term Fertilization [J]. Scientia Agricultura Sinica, 2023, 56(10): 1920-1934.
[15] ZHU ChunYan,SONG JiaWei,BAI TianLiang,WANG Na,MA ShuaiGuo,PU ZhengFei,DONG Yan,LÜ JianDong,LI Jie,TIAN RongRong,LUO ChengKe,ZHANG YinXia,MA TianLi,LI PeiFu,TIAN Lei. Effects of NaCl Stress on the Chlorophyll Fluorescence Characteristics of Seedlings of Japonica Rice Germplasm with Different Salt Tolerances [J]. Scientia Agricultura Sinica, 2022, 55(13): 2509-2525.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!