Search
2026 Volume 6
Article Contents
ARTICLE   Open Access    

A visual reporter system for transgene screening and monitoring genome editing in tomato

  • # Authors contributed equally: Ningkai An, Jinbo Wei, Shiliang Chen

More Information
  • Received: 15 January 2026
    Revised: 16 February 2026
    Accepted: 25 February 2026
    Published online: 31 March 2026
    Vegetable Research  6 Article number: e013 (2026)  |  Cite this article
  • The stable expression of integrated transgenes remains a major restriction in plant transformation, as different vector backbones and host contexts often lead to variable or silenced expression. Systematic evaluations of the binary vector architecture and broadly applicable visual markers for rapid line selection are still lacking. In this study, we developed a streamlined 2A-linked unit of CYP76AD1, DODA, and Glucosyltransferase (RUBY)-based chromogenic reporter system and validated its robustness in the transformation in Arabidopsis thaliana, tobacco (Nicotiana tabacum), and tomato (Solanum lycopersicum). A comparative analysis of two binary vector backbones revealed strong structural effects on the stability of expression, with one backbone enabling consistently high pigmentation in tomato. RUBY's intensity provides an immediate readout of transgene activity and allows the rapid identification of single-copy, stably expressing lines through seedling segregation. RUBY expression does not influence plants' growth or epidermal development, demonstrating excellent biocompatibility. We also established an inducible pXVE::RUBY module and a CRISPR-associated protein 9 (Cas9)-porcine teschovirus-1 2A peptide (P2A)-RUBY system for real-time monitoring of transgene induction and visualizing genome editing events. This platform offers an efficient and readily implementable strategy to overcome the disconnect between transgenes' integration and expression, while substantially improving the overall performance of plant transformation and genome editing pipelines.
  • 加载中
  • Supplementary Fig. S1 Circular map of different vectors.
    Supplementary Fig. S2 Construction and validation of RUBY system with different vector backbones.
    Supplementary Fig. S3 Phenotypic observation of the RUBY system in different species and vector backbones.
    Supplementary Fig. S4 Detection of gene-editing persistence in the progeny of Cas9-positive plants.
  • [1] Cardi T, Murovec J, Bakhsh A, Boniecka J, Bruegmann T, et al. 2023. CRISPR/Cas-mediated plant genome editing: outstanding challenges a decade after implementation. Trends in Plant Science 28:1144−1165 doi: 10.1016/j.tplants.2023.05.012

    CrossRef   Google Scholar

    [2] Gao C. 2021. Genome engineering for crop improvement and future agriculture. Cell 184:1621−1635 doi: 10.1016/j.cell.2021.01.005

    CrossRef   Google Scholar

    [3] Dietz-Pfeilstetter A. 2010. Stability of transgene expression as a challenge for genetic engineering. Plant Science 179:164−167 doi: 10.1016/j.plantsci.2010.04.015

    CrossRef   Google Scholar

    [4] Matzke MA, Matzke AJM. 1998. Epigenetic silencing of plant transgenes as a consequence of diverse cellular defence responses. Cellular and Molecular Life Sciences 54:94−103 doi: 10.1007/s000180050128

    CrossRef   Google Scholar

    [5] Oltmanns H, Frame B, Lee LY, Johnson S, Li B, et al. 2010. Generation of backbone-free, low transgene copy plants by launching T-DNA from the Agrobacterium chromosome. Plant Physiology 152:1158−1166 doi: 10.1104/pp.109.148585

    CrossRef   Google Scholar

    [6] Kotakis C, Vrettos N, Kotsis D, Tsagris M, Kotzabasis K, et al. 2010. Light intensity affects RNA silencing of a transgene in Nicotiana benthamiana plants. BMC Plant Biology 10:220 doi: 10.1186/1471-2229-10-220

    CrossRef   Google Scholar

    [7] Szarzanowicz MJ, Waldburger LM, Busche M, Geiselman GM, Kirkpatrick LD, et al. 2025. Binary vector copy number engineering improves Agrobacterium-mediated transformation. Nature Biotechnology 43:1708−1716 doi: 10.1038/s41587-024-02462-2

    CrossRef   Google Scholar

    [8] De Buck S, De Wilde C, Van Montagu M, Depicker A. 2000. T-DNA vector backbone sequences are frequently integrated into the genome of transgenic plants obtained by Agrobacterium-mediated transformation. Molecular Breeding 6:459−468 doi: 10.1023/A:1026575524345

    CrossRef   Google Scholar

    [9] Gelvin SB. 2017. Integration of Agrobacterium T-DNA into the plant genome. Annual Review of Genetics 51:195−217 doi: 10.1146/annurev-genet-120215-035320

    CrossRef   Google Scholar

    [10] Burlakovskiy M, Saveleva N, Rumyantsev AM, Yemelyanov VV, Padkina MV, et al. 2022. The structure of T-DNA insertions in transgenic tobacco plants producing bovine interferon-gamma. Applied Sciences 12:761 doi: 10.3390/app12020761

    CrossRef   Google Scholar

    [11] Rajeevkumar S, Anunanthini P, Sathishkumar R. 2015. Epigenetic silencing in transgenic plants. Frontiers in Plant Science 6:693 doi: 10.3389/fpls.2015.00693

    CrossRef   Google Scholar

    [12] Takita E, Yoshida K, Hanano S, Shinmyo A, Shibata D. 2021. Development of the binary vector pTACAtg1 for stable gene expression in plant: reduction of gene silencing in transgenic plants carrying the target gene with long flanking sequences. Plant Biotechnology 38:391−400 doi: 10.5511/plantbiotechnology.21.0823a

    CrossRef   Google Scholar

    [13] Ye X, Williams EJ, Shen J, Johnson S, Lowe B, et al. 2011. Enhanced production of single copy backbone-free transgenic plants in multiple crop species using binary vectors with a pRi replication origin in Agrobacterium tumefaciens. Transgenic Research 20:773−786 doi: 10.1007/s11248-010-9458-6

    CrossRef   Google Scholar

    [14] Xu P, Lai S, Yin B, Yao C, Gu X, et al. 2025. Interplay between Agrobacterium T-DNA and backbone DNA in transgenic plant cells. Transgenic Research 34:1 doi: 10.1007/s11248-024-00424-7

    CrossRef   Google Scholar

    [15] Ohnishi Y, Kawashima T. 2023. Evidence of a novel silencing effect on transgenes in the Arabidopsis thaliana sperm cell. The Plant Cell 35:3926−3936 doi: 10.1093/plcell/koad219

    CrossRef   Google Scholar

    [16] Fu X, Duc LT, Fontana S, Bong BB, Tinjuangjun P, et al. 2000. Linear transgene constructs lacking vector backbone sequences generate low-copy-number transgenic plants with simple integration patterns. Transgenic Research 9:11−19 doi: 10.1023/A:1008993730505

    CrossRef   Google Scholar

    [17] Fan Y, Wang X, Li H, Liu S, Jin L, et al. 2020. Anthocyanin, a novel and user-friendly reporter for convenient, non-destructive, low cost, directly visual selection of transgenic hairy roots in the study of rhizobia-legume symbiosis. Plant Methods 16:94 doi: 10.1186/s13007-020-00638-w

    CrossRef   Google Scholar

    [18] Chiu WL, Niwa Y, Zeng W, Hirano T, Kobayashi H, et al. 1996. Engineered GFP as a vital reporter in plants. Current Biology 6:325−330 doi: 10.1016/S0960-9822(02)00483-9

    CrossRef   Google Scholar

    [19] Jefferson RA, Kavanagh TA, Bevan MW. 1987. GUS fusions: beta-glucuronidase as a sensitive and versatile gene fusion marker in higher plants. The EMBO Journal 6:3901−3907 doi: 10.1002/j.1460-2075.1987.tb02730.x

    CrossRef   Google Scholar

    [20] Kavita P, Burma PK. 2008. A comparative analysis of green fluorescent protein and β-glucuronidase protein-encoding genes as a reporter system for studying the temporal expression profiles of promoters. Journal of Bioscience 33:337−343 doi: 10.1007/s12038-008-0053-4

    CrossRef   Google Scholar

    [21] Zhen XH, Pan RR, Lu XH, Ge YJ, Li RM, et al. 2024. An anthocyanin-based visual reporter system for genetic transformation and genome editing in Cassava. International Journal of Molecular Sciences 25:11808 doi: 10.3390/ijms252111808

    CrossRef   Google Scholar

    [22] Yuan G, Lu H, Tang D, Hassan MM, Li Y, et al. 2021. Expanding the application of a UV-visible reporter for transient gene expression and stable transformation in plants. Horticulture Research 8:234 doi: 10.1038/s41438-021-00663-3

    CrossRef   Google Scholar

    [23] Yu J, Deng S, Huang H, Mo J, Xu ZF, et al. 2023. Exploring the potential applications of the noninvasive reporter gene RUBY in plant genetic transformation. Forests 14:637 doi: 10.3390/f14030637

    CrossRef   Google Scholar

    [24] Chen L, Cai Y, Liu X, Yao W, Wu S, et al. 2024. The RUBY reporter for visual selection in soybean genome editing. aBIOTECH 5:209−213 doi: 10.1007/s42994-024-00148-6

    CrossRef   Google Scholar

    [25] Lee K, Kang M, Ji Q, Grosic S, Wang K. 2023. New T-DNA binary vectors with NptII selection and RUBY reporter for efficient maize transformation and targeted mutagenesis. Plant Physiology 192:2598−2603 doi: 10.1093/plphys/kiad231

    CrossRef   Google Scholar

    [26] Sexton WK, Cheng Y, Yang B, Ullah H, Qi Y, et al. 2025. Seeing is believing: genome editing made easy with RUBY for educational purposes. Plant Physiology 198:kiaf265 doi: 10.1093/plphys/kiaf265

    CrossRef   Google Scholar

    [27] Sharifova S, Prasad KVSK, Cheema A, Reddy ASN. 2025. Genetically encoded betalain-based RUBY visual reporters: noninvasive monitoring of biological processes. Trends in Plant Science 30:1332−1345 doi: 10.1016/j.tplants.2025.05.017

    CrossRef   Google Scholar

    [28] Wang D, Zhong Y, Feng B, Qi X, Yan T, et al. 2023. The RUBY reporter enables efficient haploid identification in maize and tomato. Plant Biotechnology Journal 21:1707−1715 doi: 10.1111/pbi.14071

    CrossRef   Google Scholar

    [29] Zhu M, Yan L, Zhan Z, Chen H, Wang D, et al. 2025. Transgene-Killer-CRISPR version 2 (TKC2) eliminates occasional transgene escape by coupling with a RUBY reporter. Plant Biotechnology Journal 23:4621−4632 doi: 10.1111/pbi.70257

    CrossRef   Google Scholar

    [30] He Y, Zhang T, Sun H, Zhan H, Zhao Y. 2020. A reporter for noninvasively monitoring gene expression and plant transformation. Horticulture Research 7:152 doi: 10.1038/s41438-020-00390-1

    CrossRef   Google Scholar

    [31] Badhepuri MK, Jogam P, Anumula V, Durgam SK, Gottimukkula S, et al. 2025. Optimization of Agrobacterium-mediated gene transformation using a non-invasive visual reporter gene (RUBY) in Coleus forskohlii (Willd) Briq. Discover Plants 2:41 doi: 10.1007/s44372-025-00116-4

    CrossRef   Google Scholar

    [32] Mei G, Chen A, Wang Y, Li S, Wu M, et al. 2024. A simple and efficient in planta transformation method based on the active regeneration capacity of plants. Plant Communications 5:100822 doi: 10.1016/j.xplc.2024.100822

    CrossRef   Google Scholar

    [33] Tan J, Wang Y, Lin Z, Chai N, Xue Y, et al. 2025. eRUBY rice: co-expression of a feedback-insensitive TyrA arogenate dehydrogenase with RUBY enhances endosperm betalain levels. Plant Physiology 199:kiaf416 doi: 10.1093/plphys/kiaf416

    CrossRef   Google Scholar

    [34] Wang J, Chen H. 2020. A novel CRISPR/Cas9 system for efficiently generating Cas9-free multiplex mutants in Arabidopsis. aBIOTECH 1:6−14 doi: 10.1007/s42994-019-00011-z

    CrossRef   Google Scholar

    [35] Borghi L. 2010. Inducible gene expression systems for plants. In Plant Developmental Biology: Methods and Protocols, eds. Hennig L, Köhler C. Totowa, NJ: Humana Press. pp. 65−75 doi: 10.1007/978-1-60761-765-5_5
    [36] Hirose T, Mizutani R, Mitsui T, Terao T. 2012. A chemically inducible gene expression system and its application to inducible gene suppression in rice. Plant Production Science 15:73−78 doi: 10.1626/pps.15.73

    CrossRef   Google Scholar

    [37] Moore I, Samalova M, Kurup S. 2006. Transactivated and chemically inducible gene expression in plants. The Plant Journal 45:651−683 doi: 10.1111/j.1365-313X.2006.02660.x

    CrossRef   Google Scholar

    [38] Siligato R, Wang X, Yadav SR, Lehesranta S, Ma G, et al. 2016. MultiSite gateway-compatible cell type-specific gene-inducible system for plants. Plant Physiology 170:627−641 doi: 10.1104/pp.15.01246

    CrossRef   Google Scholar

    [39] Zuo J, Niu QW, Chua NH. 2000. An estrogen receptor-based transactivator XVE mediates highly inducible gene expression in transgenic plants. The Plant Journal 24:265−273 doi: 10.1046/j.1365-313x.2000.00868.x

    CrossRef   Google Scholar

    [40] Liao D, Sun C, Liang H, Wang Y, Bian X, et al. 2022. SlSPX1-SlPHR complexes mediate the suppression of arbuscular mycorrhizal symbiosis by phosphate repletion in tomato. Plant Cell 34:4045−4065 doi: 10.1093/plcell/koac212

    CrossRef   Google Scholar

    [41] El-Sappah AH, Yan K, Huang Q, Islam MM, Li Q, et al. 2021. Comprehensive mechanism of gene gilencing and gts role in plant growth and development. Frontiers in Plant Science 12:705249 doi: 10.3389/fpls.2021.705249

    CrossRef   Google Scholar

    [42] Bélanger JG, Copley TR, Hoyos-Villegas V, Charron JB, O’Donoughue L. 2024. A comprehensive review of in planta stable transformation strategies. Plant Methods 20:79 doi: 10.1186/s13007-024-01200-8

    CrossRef   Google Scholar

    [43] Kanazawa A, O’Dell M, Hellens RP. 2007. Epigenetic inactivation of Chalcone Synthase-A transgene transcription in petunia leads to a reversion of the post-transcriptional gene silencing phenotype. Plant and Cell Physiology 48:638−647 doi: 10.1093/pcp/pcm028

    CrossRef   Google Scholar

    [44] Tang W, Newton RJ, Weidner DA. 2007. Genetic transformation and gene silencing mediated by multiple copies of a transgene in eastern white pine. Journal of Experimental Botany 58:545−554 doi: 10.1093/jxb/erl228

    CrossRef   Google Scholar

    [45] Dubrovina AS, Aleynova OA, Kalachev AV, Suprun AR, Ogneva ZV, et al. 2019. Induction of transgene suppression in plants via external application of synthetic dsRNA. PubMed 20:1585 doi: 10.3390/ijms20071585

    CrossRef   Google Scholar

    [46] Kanazawa A, Inaba JI, Shimura H, Otagaki S, Tsukahara S, et al. 2011. Virus-mediated efficient induction of epigenetic modifications of endogenous genes with phenotypic changes in plants. The Plant Journal 65:156−168 doi: 10.1111/j.1365-313X.2010.04401.x

    CrossRef   Google Scholar

    [47] Gu X, Liu L, Zhang H. 2021. Transgene-free Genome Editing in Plants. Frontiers in Genome Editing 3:805317 doi: 10.3389/fgeed.2021.805317

    CrossRef   Google Scholar

    [48] Petersen K, Leah R, Knudsen S, Cameron-Mills V. 2002. Matrix attachment regions (MARs) enhance transformation frequencies and reduce variance of transgene expression in barley. Plant Molecular Biology 49:45−58 doi: 10.1023/A:1014464127973

    CrossRef   Google Scholar

    [49] Pramanik D, Lee K, Wang K. 2024. A simple and efficient method for betalain quantification in RUBY-expressing plant samples. Frontiers in Plant Science 15:1449409 doi: 10.3389/fpls.2024.1449409

    CrossRef   Google Scholar

    [50] Xie J, He C, Li Z, Li M, He S, et al. 2024. A rapid and efficient Agrobacterium-mediated transient transformation system in grape berries. Protoplasma 261:819−830 doi: 10.1007/s00709-024-01938-x

    CrossRef   Google Scholar

    [51] Jupe F, Rivkin AC, Michael TP, Zander M, Motley ST, et al. 2019. The complex architecture and epigenomic impact of plant T-DNA insertions. PLoS Genetics 15:e1007819 doi: 10.1371/journal.pgen.1007819

    CrossRef   Google Scholar

    [52] Ye X, Williams EJ, Shen J, Esser JA, Nichols AM, et al. 2008. Plant development inhibitory genes in binary vector backbone improve quality event efficiency in soybean transformation. Transgenic Research 17:827−838 doi: 10.1007/s11248-008-9169-4

    CrossRef   Google Scholar

    [53] Tark-Dame M, Weber B, de Sain M, Anggoro DT, Bader R, et al. 2018. Generating transgenic plants with single-copy insertions using BIBAC-GW binary vector. Journal of Visualized Experiment 133:e57295 doi: 10.3791/57295

    CrossRef   Google Scholar

    [54] Bandopadhyay R, Haque I, Singh D, Mukhopadhyay K. 2010. Levels and stability of expression of transgenes. In Transgenic Crop Plants, eds. Kole C, Michler CH, Abbott AG, Hall TC. Berlin, Heidelberg: Springer. pp. 145–186 doi: 10.1007/978-3-642-04809-8_5
    [55] Alok A, Chauhan H, Upadhyay SK, Pandey A, Kumar J, et al. 2021. Compendium of plant-specific CRISPR vectors and their technical advantages. Life 11:1021 doi: 10.3390/life11101021

    CrossRef   Google Scholar

  • Cite this article

    An N, Wei J, Chen S, Yang X, Wu K, et al. 2026. A visual reporter system for transgene screening and monitoring genome editing in tomato. Vegetable Research 6: e013 doi: 10.48130/vegres-0026-0007
    An N, Wei J, Chen S, Yang X, Wu K, et al. 2026. A visual reporter system for transgene screening and monitoring genome editing in tomato. Vegetable Research 6: e013 doi: 10.48130/vegres-0026-0007

Figures(4)

Article Metrics

Article views(73) PDF downloads(22)

ARTICLE   Open Access    

A visual reporter system for transgene screening and monitoring genome editing in tomato

Vegetable Research  6 Article number: e013  (2026)  |  Cite this article

Abstract: The stable expression of integrated transgenes remains a major restriction in plant transformation, as different vector backbones and host contexts often lead to variable or silenced expression. Systematic evaluations of the binary vector architecture and broadly applicable visual markers for rapid line selection are still lacking. In this study, we developed a streamlined 2A-linked unit of CYP76AD1, DODA, and Glucosyltransferase (RUBY)-based chromogenic reporter system and validated its robustness in the transformation in Arabidopsis thaliana, tobacco (Nicotiana tabacum), and tomato (Solanum lycopersicum). A comparative analysis of two binary vector backbones revealed strong structural effects on the stability of expression, with one backbone enabling consistently high pigmentation in tomato. RUBY's intensity provides an immediate readout of transgene activity and allows the rapid identification of single-copy, stably expressing lines through seedling segregation. RUBY expression does not influence plants' growth or epidermal development, demonstrating excellent biocompatibility. We also established an inducible pXVE::RUBY module and a CRISPR-associated protein 9 (Cas9)-porcine teschovirus-1 2A peptide (P2A)-RUBY system for real-time monitoring of transgene induction and visualizing genome editing events. This platform offers an efficient and readily implementable strategy to overcome the disconnect between transgenes' integration and expression, while substantially improving the overall performance of plant transformation and genome editing pipelines.

    • Plant transformation and genome editing are indispensable tools for crop improvement and functional genomics[1,2]. However, transgene expression is often unstable or silenced because of the vector's design, the host background, or insertion sites, which limits their functional validation, line selection, and breeding applications[1,316]. Reliable, broadly applicable, and growth-neutral visual markers are therefore critical to accelerate transgene screening and improve the efficiency of transformation.

      Existing reporters, such as fluorescent proteins and β-glucuronidase (GUS), require specialized equipment, show restricted expression, or can affect plant growth[1722]. The 2A-linked unit of CYP76AD1, DODA, and Glucosyltransferase (RUBY) system, a natural pigment-based reporter visible as red coloration without instruments, offers a promising alternative[2333]. However, its cross-species applicability, dependence on the vector backbone, and potential for synchronized monitoring of genome editing events remain unexplored. In this study, we constructed and optimized a RUBY-based visual platform, assessed the effects of the vector backbone on the stability of expression, and demonstrated its robust performance in Arabidopsis thaliana, tobacco (Nicotiana tabacum), and tomato (Solanum lycopersicum). We also developed inducible and CRISPR-associated protein 9 (Cas9)-porcine teschovirus-1 2A peptide (P2A)-RUBY modules for temporal monitoring and real-time visualization of editing events[34], providing a versatile solution for stable transgene screening and genome editing workflows.

    • The overexpression vectors p35S::RUBY-A and p35S::RUBY-B constructed in this study were engineered on the basis of the backbone vectors, namely the pGC-4 generated in the present experiment and the DR5::RUBY plasmid kindly provided by Professor Yunde Zhao's laboratory. The full-length coding sequence of RUBY was amplified via polymerase chain reaction (PCR) using the DR5::RUBY plasmid as the template, and the amplified fragment was used to replace the green fluorescent protein (GFP) gene sequence in the pGC-4 backbone vector. Thereafter, the cauliflower mosaic virus (CaMV) 35S promoter was cloned into the predigested pGC-4 backbone vector, and the recombinant overexpression vector was designated p35S::RUBY-B. For the construction of p35S::RUBY-A, the CaMV 35S promoter was inserted into the predigested DR5::RUBY vector to substitute for the original DR5-responsive element sequence, and the resulting vector was named p35S::RUBY-A. In addition, the LexA-VP16-Estrogen receptor (XVE)-inducible regulatory sequence was integrated into the predigested DR5::RUBY vector, with the resulting inducible expression vector named pXVE::RUBY. For the gene knockout assay, the pCAMBIA 1300 vector, provided by Professor Hao Chen's research group, was used as the backbone for constructing the knockout vector. The full-length RUBY sequence was inserted into the predigested pCAMBIA 1300 vector, and the final clustered regularly interspaced short palindromic repeats (CRISPR)/Cas9-mediated knockout vector was designated p35S::Cas9-P2A-RUBY.

    • Recombinant plasmids were introduced into Agrobacterium tumefaciens C58/GV3101 for Agrobacterium-mediated transformation of tobacco, Arabidopsis, and tomato. For transient transformation in tobacco, bacterial suspensions were injected into the underside of the leaf and incubated under dark conditions for 24 h, followed by normal light exposure for further incubation and sampling at 48 and 72 h.

      For stable transformation, plant explants from tobacco and tomato were precultured, infected with Agrobacterium, and co-cultivated under sterile conditions. Tobacco and tomato explants were transferred to a bud induction medium after dark treatment, with subsequent subculture of the callus tissues. Buds were allowed to develop, then were transferred to the rooting medium. Rooted seedlings were acclimated and transplanted into nutrient soil. Transformation of Arabidopsis was carried out via the floral dipping method. Homozygous transgenic plants from all species were selected for observing the phenotype.

    • The leaf tissues of plants were observed and imaged using a Hitachi TM3030Plus tabletop scanning electron microscope in this study. The quantification of seven trichome types in tomato was performed with ImageJ software, following the following specific procedures: Opening the software and directly dragging the target images into the operation interface; navigating to the menu bar; selecting the options Plugins → Analyze → Cell Counter → Cell Counter–Keep Original, then clicking Initialize; and sequentially marking the seven trichome types with the labels Type I to VII for manual counting. Finally, the counted data were exported to Microsoft Excel for subsequent statistical analysis.

      Root length was also measured via ImageJ software, and the specific operational steps were as follows: Launching the software and importing the target images by direct dragging, then selecting the Segmented Line tool to preliminarily calibrate the image scale. Next, Analyze → Set Scale was selected, the actual known distance and the corresponding unit of length were input according to the image scale, with the other parameters kept to the default settings. After scale calibration, the Segmented Line tool was reselected to trace and measure the root length on the image, and the shortcut Ctrl + M was used to obtain accurate measurement results. All measured data were exported to Microsoft Excel for further statistical analysis.

    • All experimental materials in this study were grown in the greenhouse. The temperature during the day was 28 °C with 16 h of light; at night, it was 18 °C with 8 h of darkness. The humidity was 60%, and the light intensity in the greenhouse was 120−130 µmol·m2·s. Regular watering and fertilization were applied, and all plants were cultivated in 9 cm × 9 cm nutrient pots with PINDSTRUP as the growth medium.

    • The different binary vector backbones markedly influenced transgene expression. Using the RUBY system, we constructed two binary vectors, p35S::RUBY-A and p35S::RUBY-B (Supplementary Fig. S1a, S1b). Transient expression in tobacco readily produced visible red pigmentation, indicating that both constructs maintained functional integrity (Supplementary Fig. S2). In Arabidopsis, both vectors exhibited comparable expression with only minor differences (Fig. 1a). In contrast, in stably transformed tomato and tobacco plants, p35S::RUBY-A produced strong and stable red pigmentation in the flowers and fruits. In the leaves, tobacco displayed pronounced red coloration, whereas tomato leaves remained largely colorless (Supplementary Fig. S3); by comparison, p35S::RUBY-B showed minimal pigmentation across nearly all tissues (Fig. 1b-g). Notably, during tissue culture, the two species also displayed differential expression: Tobacco calli showed clear red coloration, whereas tomato calli exhibited almost no visible pigment. Together, these results indicate that the vector backbone not only affects the stability of transgene expression but also largely determines expression efficiency and tissue- and species-specificity. This property establishes a foundation for the application of RUBY in transgene screening.

      Figure 1. 

      The vector backbone affects the expression of RUBY system across species and tissues. (a) Different vector backbones affect the expression of RUBY system in Arabidopsis seedlings, scale bar = 1 mm. (b), (c) Different vector backbones affect the expression of RUBY in tobacco (Nicotiana tabacum) tissue culture, scale bar = 1 mm. (d), (e) Different vector backbones induced no obvious pigment deposition in tomato tissue culture, scale bar = 1 mm. (f), (g) The RUBY system's expression in tomato flowers and fruits. (f) Scale bar = 1 mm. (g) Scale bar = 1 cm.

    • Early and accurate identification of single-copy transgenic lines is critical for subsequent genetic analyses and phenotypic evaluation. Given the stable and visually distinct expression of RUBY at the seedling stage, we assessed its utility for single-copy transgene screening. T1 seedlings of Arabidopsis lines carrying p35S::RUBY-A or p35S::RUBY-B were analyzed, and could be directly distinguished on the basis of red versus green coloration. For example, seedlings of the p35S::RUBY-A#3 line segregated approximately 3:1 for red versus green (Fig. 2a), consistent with single-copy Mendelian inheritance (χ2 test, p > 0.05) (Fig. 2b). These findings demonstrate that RUBY provides a rapid, intuitive, and instrument-free strategy for efficiently identifying single-copy transgenic lines at the seedling stage, offering a reliable tool for transgene screening in plants.

      Figure 2. 

      Copy number detection of the RUBY system in Arabidopsis. (a) Quantification of RUBY's expression in p35S::RUBY-A and p35S::RUBY-B lines was performed to assess positive and false positive rates. Positive, red pigmentation; false positive, green pigmentation. (b) Chi-square analysis: The red dashed line = 3:1 segregation threshold (χ20.05 = 3.841); bars show the χ2 values; p < 0.05 = significant fit to single-copy segregation.

    • Despite the excellent performance of RUBY in expression monitoring and transgene copy identification, whether its constitutive expression may cause unintended physiological effects still required verification. Therefore, we conducted a systematic assessment of growth performance and epidermal characteristics in p35S::RUBY-A transgenic lines. Compared with the wild-type, no obvious differences were observed in root growth, plant height, leaf morphology, or trichome development (Fig. 3a-h). These results indicate that continuous RUBY expression does not impose a detectable growth penalty or alter epidermal traits, thereby supporting its applicability as a growth-neutral and reliable visual marker for plant biotechnology.

      Figure 3. 

      Plants' development and epidermal differentiation with the RUBY system. (a), (b) Phenotypic observation and quantification of wild-type (WT) and p35S::RUBY plants, scale bar = 1 cm. (c), (d) Observation and quantification of plant height in WT and p35S::RUBY plants, scale bar = 1 cm. (e) Analysis of leaf morphology in WT and p35S::RUBY plants, scale bar = 1 cm. (f) Analysis of fruit morphology and size in WT and p35S::RUBY plants, scale bar = 1 cm. (g), (h) Observation and quantification of trichome morphology in WT and p35S::RUBY plants, scale bar = 1 mm.

    • To enable RUBY to function not only as a stably expressed visual selection marker but also as a versatile tool adaptable to more sophisticated regulatory and application scenarios, we also incorporated it into temporal control and functional monitoring systems. In many basic research and applied contexts, precise activation of transgene expression at specific time points or under defined conditions is critically required[30,3539]; however, most existing visual markers lack the capability to intuitively monitor this process. To address this limitation, we constructed a pXVE::RUBY module driven by the well-established and widely applied estrogen-inducible system. This design allowed RUBY signals to be precisely activated upon exogenous induction, thereby enabling on-demand initiation of the red pigmentation signal and providing a continuous, controllable, and time-resolved visual readout of the induction process (Fig. 4a, b). This strategy substantially expands the applicability of RUBY in gene regulation studies and synthetic biology.

      Figure 4. 

      Design and application of the RUBY system for inducible expression and visualizing genome editing. (a), (c) Schematic of the RUBY-labeled inducible expression and genome editing visualization system. (b) Validation of inducible expression using the RUBY system, scale bar = 1 mm. (d) Transient expression analysis of the RUBY-labeled genome editing visualization system in tobacco (Nicotiana benthamiana), scale bar = 1 cm. (e) A dual-phase CRISPR workflow enabling simultaneous gene editing and subsequent Cas9 elimination in tomato.

      Meanwhile, in the field of genome editing, real-time and visual monitoring of editing events as well as the expression and activity status of Cas9 has been a longstanding technical challenge. Through a systematic examination of existing Cas9 editing lines (including the Slspx1 mutant background)[40], we found that the prolonged persistence of Cas9 protein after completion of the intended editing event may trigger unintended subsequent edits (Supplementary Fig. S4), thereby increasing the potential risk of genome instability. This observation underscores the necessity of implementing dynamic regulation and visual surveillance of Cas9 expression and the progress of editing in plant genome editing systems. Although strategies such as Cas9-P2A-GFP fusion constructs can report Cas9 expression, these approaches rely on specialized fluorescence-detection equipment, which increases operational complexity and limits the method's applicability in field evaluations and high-throughput screening. To overcome these constraints, we developed a Cas9-P2A-RUBY co-expression system that tightly couples Cas9's expression and editing activity with a readily visible RUBY pigmentation signal (Fig. 4c, d). This system enables an intuitive judgment of Cas9's functional status and efficient identification of edited materials without the need for sophisticated instrumentation. In tomato, this approach successfully achieved real-time visual tracking of genome editing events and markedly improved both screening efficiency and the controllability of the entire editing process (Fig. 4e).

    • Unstable or silenced transgene expression has long limited the efficiency of plant transformation and genome editing[4,6,15,4148]. Here, we present a RUBY-based visual strategy that provides an integrated solution for monitoring transgene expression, identifying single-copy lines, and visualizing genome editing events. Unlike conventional fluorescent or GUS reporters, RUBY enables a direct observation of red pigmentation without specialized equipment[2333], exerts minimal impact on growth or epidermal development, and demonstrates robust applicability across Arabidopsis, tobacco, and tomato[23,24,26,27,30,31,49,50].

      The vector backbone substantially influences the stability and tissue specificity of expression, guiding the optimization of transgene design[5,7,8,1214,16,5055]. In this study, p35S::RUBY-A consistently yielded strong and stable pigmentation in tomato, whereas p35S::RUBY-B showed minimal expression, highlighting the importance of backbone selection in achieving robust, species-, and tissue-specific expression. The inducible pXVE::RUBY module and the Cas9-P2A-RUBY system further expand the utility of RUBY by enabling temporal control of transgene expression and real-time visualization of genome editing events. This dual functionality provides a powerful tool for monitoring induction kinetics, evaluating Cas9 activity, and improving the workflow's efficiency without reliance on specialized detection equipment. Compared with previous reports[2333], our study further expands the understanding of RUBY's application potential. We not only validated the practical utility of RUBY in tomato and tobacco tissue culture systems and in stable transgenic lines, but also demonstrated that constitutive RUBY expression does not affect plants' growth or epidermal traits under routine expression levels. In addition, by integrating RUBY into a Cas9-linked system, we achieved a visual confirmation of genome editing events. Collectively, these results reinforce the versatility and growth-neutrality of RUBY as a visual marker.

      Although our study confirms the efficacy and broad applicability of RUBY, further validation under multiplexed editing, diverse genetic backgrounds, or field conditions will be valuable. Nevertheless, this system provides a simple, reliable, and instrument-free platform for high-throughput transgene screening, precise regulation of expression, and visual monitoring of genome editing events, supporting both basic research and applied crop improvement.

      • The authors confirm their contributions to the paper as follows: study conception and design: Wu S, Sun C; data collection: Yang X, Wu K, Zhou X, Wang J, Wu S, Wu S, Liu C, Yi W, Fu Y, Zhang J, Zhu H; analysis and interpretation of results: Sun C, An N, Wei J, Chen S; draft manuscript preparation: Sun C. All authors reviewed the results and approved the final version of the manuscript.

      • All data generated or analyzed during this study are included in this published article and its supplementary information files.

      • This research was funded by the National Natural Science Foundation of China (32370354) and (32561143028) to Wu S, and Supported by the Joint Research Program of State Key Laboratory of Agricultural and Forestry Biosecurity (No. SKLJRP2506). We thank Professor Yunde Zhao for generously providing the DR5::RUBY plasmid used in this study[30]; we also thank Professor Haodong Chen for generously providing the pCambia 1300 plasmidp[34].

      • The authors declare that they have no conflict of interest.

      • # Authors contributed equally: Ningkai An, Jinbo Wei, Shiliang Chen

      • Copyright: © 2026 by the author(s). Published by Maximum Academic Press, Fayetteville, GA. This article is an open access article distributed under Creative Commons Attribution License (CC BY 4.0), visit https://creativecommons.org/licenses/by/4.0/.
    Figure (4)  References (55)
  • About this article
    Cite this article
    An N, Wei J, Chen S, Yang X, Wu K, et al. 2026. A visual reporter system for transgene screening and monitoring genome editing in tomato. Vegetable Research 6: e013 doi: 10.48130/vegres-0026-0007
    An N, Wei J, Chen S, Yang X, Wu K, et al. 2026. A visual reporter system for transgene screening and monitoring genome editing in tomato. Vegetable Research 6: e013 doi: 10.48130/vegres-0026-0007

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return