[1] Bustin S A, Benes V, Nolan T, et al. Quantitative real-time RT-PCR-a perspective [J]. Journal of Molecular Endocrinology, 2005, 34(3): 597−601. https://doi.org/10.1677/jme.1.01755 doi:  10.1677/jme.1.01755
[2] Gachon C, Mingam A, Charrier B. Real-time PCR: what relevance to plant studies? [J]. Journal of Experimental Botany, 2004, 55(402): 1445−1454. https://doi.org/10.1093/jxb/erh181 doi:  10.1093/jxb/erh181
[3] 张玉芳, 赵丽娟, 曾幼玲. 基因表达研究中内参基因的选择与应用[J]. 植物生理学报, 2014, 50(8): 1119−1125.
[4] 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[J]. 园艺学报, 2015, 42(6): 1129−1138.
[5]

Müller O A, Grau J, Thieme S, et al. Genome-Wide Identification and Validation of Reference Genes in Infected Tomato Leaves for Quantitative RT-PCR Analyses[J]. Plos One, 2015, 10 27;10(8): e0136499.
[6]

Zhang Y, Zhu L, Xue J, et al. Selection and Verification of Appropriate Reference Genes for Expression Normalization in Cryptomeria fortunei under Abiotic Stress and Hormone Treatments [J]. Genes (Basel), 2021, 12(6): 791. https://doi.org/10.3390/genes12060791 doi:  10.3390/genes12060791
[7] 李铁铮, 王金铃, 刘晓, 等. 管花肉苁蓉实时荧光定量PCR分析中内参基因的选择和验证[J]. 植物生理学报, 2021, 57(4): 969−981.
[8]

Hu J, Israeli A, Ori N, et al. The interaction between DELLA and ARF/IAA mediates crosstalk between gibberellin and auxin signaling to control fruit initiation in tomato [J]. The Plant cell, 2018, 30(8): 1710−1728. https://doi.org/10.1105/tpc.18.00363 doi:  10.1105/tpc.18.00363
[9]

Kong X, Zhang C, Zheng H, et al. Antagonistic Interaction between Auxin and SA Signaling Pathways Regulates Bacterial Infection through Lateral Root in Arabidopsis [J]. Cell Rep, 2020, 32(8): 108060. https://doi.org/10.1016/j.celrep.2020.108060 doi:  10.1016/j.celrep.2020.108060
[10]

Gao J, Chen H, Yang H, et al. A brassinosteroid responsive miRNA-target module regulates gibberellin biosynthesis and plant development [J]. New Phytol, 2018, 220(2): 488−501. https://doi.org/10.1111/nph.15331 doi:  10.1111/nph.15331
[11] 董汉松. 植物抗病防卫基因表达调控与诱导抗性遗传的机制[J]. 植物病理学报, 1996(4): 2−6.
[12] XU P, FANG S, CHEN H, et al. The brassinosteroid-responsive xyloglucan endotransglucosylase/hydrolase 19 (XTH19) and XTH23 genes are involved in lateral root development under salt stress in Arabidopsis[J]. The Plant Journal, 2020, 104(1): 59-75. 页码?.

Xu P, Fang S, Chen H, et al. The brassinosteroid-responsive xyloglucan endotransglucosylase/hydrolase 19 (XTH19) and XTH23 genes are involved in lateral root development under salt stress in Arabidopsis[J]. The Plant Journal, 2020, 104(1): 59−75.
[13] 白圣懿, 王晓敏, 刘文娟, 等. 不同激素处理下番茄实时荧光定量聚合酶链反应内参基因的筛选[J]. 浙江大学学报(农业与生命科学版), 2023, 49(1): 31−44.
[14] 韩晓雪, 韩佳轩, 姜晶. 番茄在非生物胁迫下实时定量RT-PCR中内参基因的筛选[J]. 分子植物育种, 2015, 13(4): 822−831.
[15]

Rebeca Patrícia Omena-Garcia, B A O M A, C D B M A, et al. Growth and metabolic adjustments in response to gibberellin deficiency in drought stressed tomato plants - ScienceDirect [J]. Environmental and Experimental Botany, 2019, 159: 95−107. https://doi.org/10.1016/j.envexpbot.2018.12.011 doi:  10.1016/j.envexpbot.2018.12.011
[16]

Hu E, Liu M, Zhou R, et al. Relationship between melatonin and abscisic acid in response to salt stress of tomato [J]. Scientia Horticulturae, 2021, 285(6): 110176.
[17]

Lu J, Guan P, Gu J, et al. Exogenous DA-6 Improves the Low Night Temperature Tolerance of Tomato Through Regulating Cytokinin [J]. Front Plant Sci, 2021, 11: 599111. https://doi.org/10.3389/fpls.2020.599111 doi:  10.3389/fpls.2020.599111
[18]

Albuquerque G M R, Fonseca F C A, Boiteux L S, et al. Stability analysis of reference genes for RT-qPCR assays involving compatible and incompatible Ralstonia solanacearum-tomato 'Hawaii 7996' interactions [J]. Scientific Reports, 2021, 11(1): 18719. https://doi.org/10.1038/s41598-021-97854-8 doi:  10.1038/s41598-021-97854-8
[19]

Expósito-Rodríguez M, Borges A A, Borges-Pérez A, et al. Selection of internal control genes for quantitative real-time RT-PCR studies during tomato development process [J]. BMC Plant Biology, 2008, 8(1): 131. https://doi.org/10.1186/1471-2229-8-131 doi:  10.1186/1471-2229-8-131
[20]

Alfenas-Zerbini P, Maia I G, Fávaro R D, et al. Genome-wide analysis of differentially expressed genes during the early stages of tomato infection by a potyvirus [J]. Molecular Plant-microbe Interactions, 2009, 22(3): 352−361. https://doi.org/10.1094/MPMI-22-3-0352 doi:  10.1094/MPMI-22-3-0352
[21]

Mascia T, Santovito E, Gallitelli D, et al. Evaluation of reference genes for quantitative reverse-transcription polymerase chain reaction normalization in infected tomato plants [J]. Molecular Plant Pathology, 2010, 11(6): 805−816. https://doi.org/10.1111/j.1364-3703.2010.00646.x doi:  10.1111/j.1364-3703.2010.00646.x
[22]

Choi S W, Hoshikawa K, Fujita S, et al. Evaluation of internal control genes for quantitative realtime PCR analyses for studying fruit development of dwarf tomato cultivar 'Micro-Tom' [J]. Plant Biotechnol (Tokyo), 2018, 35(3): 225−235. https://doi.org/10.5511/plantbiotechnology.18.0525a doi:  10.5511/plantbiotechnology.18.0525a
[23]

Chen X, Chen J D, Liao D H, et al. Auxin-mediated regulation of arbuscular mycorrhizal symbiosis: a role of SlGH3.4 in tomato [J]. Plant Cell & Environment, 2022, 45(3): 955−968.
[24]

Vandesompele J, De Preter K, Pattyn F, et al. Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes [J]. Genome Biology, 2002, 3(7): RESEARCH0034. https://doi.org/10.1186/gb-2002-3-7-reports0034 doi:  10.1186/gb-2002-3-7-reports0034
[25]

Andersen C L, Jensen J L, ørntoft 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 [J]. Cancer Research, 2004, 64(15): 5245−5250. https://doi.org/10.1158/0008-5472.CAN-04-0496 doi:  10.1158/0008-5472.CAN-04-0496
[26]

Pfaffl M W, Tichopad A, Prgomet C, et al. Determination of stable housekeeping genes, differentially regulated target genes and sample integrity: BestKeeper-Excel-based tool using pair-wise correlations [J]. Biotechnology Letters, 2004, 26(6): 509−515. https://doi.org/10.1023/B:BILE.0000019559.84305.47 doi:  10.1023/B:BILE.0000019559.84305.47
[27] 吴悠, 冀宏宇, 邓淑雯, 等. 三褶虾脊兰花发育相关基因RT-qPCR内参基因的筛选[J]. 园艺学报, 2024, 51(9): 2063−2074. https://doi.org/10.16420/j.issn.0513-353x.2023-0954 doi:  10.16420/j.issn.0513-353x.2023-0954
[28] 李佳妮, 张姝, 张永杰. 布莱克韦尔虫草逆转录定量PCR内参基因的筛选[J/OL]. 微生物学通报, 1-12[2024-06-20]. https://doi.org/10.13344/j.microbiol.china.240343.
[29] 颜爽爽, 邱正坤, 余炳伟, 等. 植物生长素响应高温胁迫研究进展[J]. 园艺学报, 2020, 47(11): 2238−2246.
[30] 园园, 恩和巴雅尔, 齐艳华. 植物GH3基因家族生物学功能研究进展[J]. 植物学报, 2023, 58(5): 770−782. https://doi.org/10.11983/CBB22263 doi:  10.11983/CBB22263
[31]

Carisey A F, Mace E M, Saeed M B, et al. Nanoscale dynamism of actin enables secretory function in cytolytic cells [J]. Current Biology, 2018, 28(4): 489−502. https://doi.org/10.1016/j.cub.2017.12.044 doi:  10.1016/j.cub.2017.12.044
[32]

Citri A, Pang Z P, Südhof T C, et al. Comprehensive qPCR profiling of gene expression in single neuronal cells [J]. Nature Protocols, 2011, 7(1): 118−127.
[33] 宋雄. 欧芹不同逆境条件下适宜内参基因的筛选[D]. 南京: 南京农业大学, 2016.
[34] 黄丽萍, 李思鸿, 钟启文, 等. 香瓜茄多组织部位和病害胁迫条件下qRT-PCR内参基因的选择[J]. 青海大学学报, 2022, 40(3): 33−40.
[35] 岳炜楠, 胥通玉, 苗佳敏, 等. 紫花苜蓿不同组织及不同激素处理下内参基因的筛选[J/OL]. 草原与草坪, 1-16[2024-06-20]. http://kns.cnki.net/kcms/detail/62.1156.S.20240521.1243.002.html.
[36] 徐圆圆, 赵国春, 郝颖颖, 等. 无患子RT-qPCR内参基因的筛选与验证[J]. 生物技术通报, 2022, 38(10): 80−89.
[37] 巨秀婷, 何金娣, 张梦洁, 等. 郁金香不同组织内参基因筛选及稳定表达分析[J]. 南方农业学报, 2023, 54(11): 3174−3185.
[38]

Liao D, Chen X, Chen A, et al. The characterization of six auxin-induced tomato GH3 genes uncovers a member, SlGH3.4, strongly responsive to arbuscular mycorrhizal symbiosis [J]. Plant and Cell Physiology, 2015, 56(4): 674−687. https://doi.org/10.1093/pcp/pcu212 doi:  10.1093/pcp/pcu212
[39]

Liu H, Liu J, Chen P, et al. Selection and validation of optimal RT-qPCR reference genes for the nrmalization of gene expression under different experimental conditions in lindera megaphylla [J]. Plants-Basel, 2023, 12(1): 2185.