Abstract
CONSTITUTIVE PHOTOMORPHOGENIC 1 (COP1), a pivotal repressor in plant photomorphogenesis, has been extensively studied in various plant processes. However, the specific roles of COP1 in fruit remain poorly understood. Here, we functionally characterized SlCOP1-1 (also known as LeCOP1), an Arabidopsis (Arabidopsis thaliana) COP1 ortholog, in tomato (Solanum lycopersicum) fruit ripening and disease resistance. Despite the clear upregulation of SlCOP1-1 during fruit ripening, knockout or overexpression (OE) of SlCOP1-1 in tomatoes only minimally affected ripening. Intriguingly, these genetic manipulations substantially altered fruit resistance to the fungal pathogen Botrytis cinerea. Proteomic analysis revealed differential accumulation of proteins associated with fruit disease resistance upon SlCOP1-1 knockout or OE. To unravel the mechanism of SlCOP1-1 in disease resistance, we conducted a screen for SlCOP1-1-interacting proteins and identified the stress-related bZIP transcription factor SlOpaque2. We provide evidence that SlOpaque2 functions in tomato resistance to B. cinerea, and SlCOP1-1-mediated mono-ubiquitination and stabilization of SlOpaque2 contributes to fruit resistance against B. cinerea. Our findings uncover a regulatory role of COP1 in controlling fruit disease resistance, enriching our understanding of the regulatory network orchestrating fruit responses to disease.
A repressor of plant photomorphogenesis stabilizes a stress-related transcription factor, an interaction that ultimately promotes fruit resistance to the fungal pathogen Botrytis cinerea.
Introduction
Fleshy fruits, distinguished by their elevated nutritional value and delightful flavor, have gained substantial favor among consumers. However, these fruits are vulnerable to pathogen assaults both during cultivation and postharvest stages, resulting in reduced yields and economic losses (Prusky 1996; Cantu et al. 2008). In response to pathogen interactions, fruits employ diverse resistance pathways to resist pathogen invasion, and the orchestration of fruit defense responses is intricately regulated by various endogenous factors at multiple levels. These include transcriptional regulation (Tolosa and Zhang 2020; Yang et al. 2023), epigenome regulation (Xu et al. 2015; Zhou et al. 2023), and posttranscriptional regulation (Wang et al. 2017; Cheng et al. 2020). Understanding the mechanism underlying fruit disease resistance not only enriches the theory of plant disease resistance but also provides valuable insights for effective control of fruit disease.
Ubiquitination, an extensively studied posttranslational modification in plant defense response, plays a crucial regulatory role in disease resistance (Gough and Sadanandom 2021). This process involves a cascade of enzymes, including the ubiquitin-activating enzyme (E1), ubiquitin-conjugating enzyme (E2), and ubiquitin ligase [E3 (Scheffner et al. 1995)]. E3 ubiquitin ligase contributes to the specificity of substrate proteins, with numerous E3 ligases identified upstream of key components in disease resistance signaling (Duplan and Rivas 2014; Choi et al. 2022; Wang et al. 2023). The advantage of E3 ligase in dynamically and rapidly regulating the abundance of plant immune system components has prompted research in fruit to identify E3 ligases involved in disease response. However, to date, only a limited number of E3 ligases have been characterized in fruit disease resistance. Notable examples include the apple (Malus domestica) Plant U-box E3 ubiquitin ligase 29 (MdPUB29) and POZ/BTB CONTAINING-PROTEIN 1 (MdPOB1) in apple ring rot (Han et al. 2019a, b), the grapevine (Vitis vinifera) RING-H2 finger protein ATL E3 ubiquitin ligase 156 (VriATL156) in grape downy mildew (Vandelle et al. 2021), and the pear (Pyrus bretschneideri) ATL E3 ubiquitin ligase 18 (PbATL18) in pear anthracnose (Lin et al. 2023). Despite the recognized importance of E3 ligases in plant defense, there remains a substantial gap in our understanding of their roles in fruit disease resistance.
CONSTITUTIVE PHOTOMORPHOGENIC 1 (COP1) is one of the extensively studied RING-type E3 ligases in plants. It was initially identified as a repressor of photomorphogenesis in darkness by mediating the degradation of specific components in light signaling cascades (Deng et al. 1992; Osterlund et al. 2000; Seo et al. 2004). Subsequent investigations unveiled that COP1, in collaboration with various regulatory proteins, not only induces target protein degradation but also modulates target stability, participating in a diverse array of light-dependent or light-independent biological processes, such as stem elongation (Sharma et al. 2019), circadian rhythm (Yu et al. 2008), photoprotection (Tokutsu et al. 2019), gravitropism (Artz et al. 2019), hormone regulation (Shi et al. 2016; Blanco-Touriñán et al. 2020; Peng et al. 2022), and plant resistance (Gangappa and Kumar 2018; Lim et al. 2018). Although COP1 plays a pleiotropic role in plants, its function in horticultural fruits has not yet been systematically studied. Some reports indicate that COP1 or COP1-like proteins regulate color synthesis in tomatoes [Solanum lycopersicum (Liu et al. 2004)], apples (Li et al. 2012), pears (Wu et al. 2019), peaches [Prunus persica (Zhao et al. 2023)], and strawberries [Fragaria × ananassa (Liu et al. 2023)]. Additionally, heterologous expression of the eggplant (Solanum melongena) SmCOP1 in tomato influenced ethylene signaling (Naeem et al. 2019). However, whether they are involved in other regulatory processes in fruits remains unclear.
Tomato fruit stands out as one of the most crucial horticultural crops. Botrytis cinerea, a notorious necrotrophic fungus, causes gray mold in numerous crops (Williamson et al. 2007; Zhang et al. 2021). The interaction between tomato fruits and B. cinerea serves as a model pathosystem for unraveling host cell defense mechanisms (Arie et al. 2007; Wang et al. 2017; Zhou et al. 2023). In this study, we identified 3 homologous COP1 genes in tomatoes and explored the role of SlCOP1-1, the most similar to the Arabidopsis (Arabidopsis thaliana) COP1 gene but hitherto uncharacterized in tomatoes. We generated stable CRISPR/Cas9-knockout mutants and SlCOP1-1 overexpression (OE) lines, showing that SlCOP1-1 plays a more important role in fruit resistance to B. cinerea rather than in the regulation of fruit ripening. Compared to wild-type fruit, Slcop1-1 mutants exhibited increased susceptibility to B. cinerea, while SlCOP1-1 OE lines displayed enhanced disease resistance. Comparative proteomic analysis revealed that SlCOP1-1 regulates a set of proteins, including those involved in fruit disease resistance. Yeast 2-hybrid (Y2H) screening for SlCOP1-1-interacting proteins identified a bZIP transcription factor, SlOpaque2, as the direct target of SlCOP1-1. We provide evidence that SlOpaque2 is stabilized by SlCOP1-1 through mono-ubiquitination and functions downstream of SlCOP1-1 to govern disease resistance in tomato fruit.
Results
SlCOP1-1 exhibits increased expression during fruit ripening
We used the BLAST tool embedded within the Sol Genomics Network (SGN; https://solgenomics.net/tools/blast/) to identify the tomato COP1 by querying the protein sequence of Arabidopsis COP1 (AtCOP1, AT2G32950). Three putative tomato COP1 orthologs (SlCOP1-1, also named LeCOP1, Solyc12g005950; SlCOP1-2, Solyc11g011980; LeCOP1LIKE, Solyc11g005190) were identified, sharing 76.5%, 72.31%, and 29.2% sequence identity with AtCOP1, respectively (Fig. 1A). Both SlCOP1-1 and SlCOP1-2 proteins have 3 conserved functional domains (RING finger, coiled-coil, WD40 repeats) and one nuclear localization signal (NLS), while LeCOP1LIKE only contains the WD40 repeats (Fig. 1A). Phylogenetic analysis confirmed that among the 3 COP1 orthologs, SlCOP1-1 is closely related to AtCOP1, followed by SlCOP1-2 and LeCOP1LIKE (Supplementary Fig. S1). A previous study has described the function of LeCOP1LIKE as a negative regulator of fruit pigmentation (Liu et al. 2004). Here, we focused on the function of SlCOP1-1 and SlCOP1-2 in tomato fruit.
First, we investigated the expressions of SlCOP1-1 and SlCOP1-2 in tomato fruit using the published transcriptome dataset, Tomato Expression Atlas (TEA; http://tea.solgenomics.net/) database, built on the tomato cv. Heinz (Shinozaki et al. 2018). As shown in Fig. 1B, SlCOP1-1 displays an increased expression pattern during fruit development and ripening, while SlCOP1-2 is barely detected in fruit (Fig. 1B), indicating that SlCOP1-2 may have limited or no role in the fruit-related process. We further conducted RT-qPCR to determine the expression of SlCOP1-1 in various organs (root, stem, leaf, flower, and fruit at various ripening stages) in tomato cv. Ailsa Craig. It was confirmed that SlCOP1-1 exhibits a continuously upregulated expression pattern during fruit ripening (Fig. 1C). These results suggest that SlCOP1-1 might function in tomato fruit, and SlCOP1-1 was chosen for further analysis in this study.
To observe the subcellular location of SlCOP1-1, we transiently expressed a fusion protein of SlCOP1-1 and enhanced Green Fluorescent Protein (eGFP) in Nicotiana benthamiana leaves. Confocal images showed that SlCOP1-1 is distributed in both cytoplasmic and nuclear compartments (Fig. 1D). This is consistent with the dual localization observed for the overexpressed AtCOP1 in transgenic Arabidopsis, which exhibits an elongated hypocotyl phenotype under light conditions (McNellis et al. 1994). Furthermore, we examined the protein level of SlCOP1-1 during fruit ripening using a western blot by a SlCOP1-1-specific antibody. Consistent with its transcription level, SlCOP1-1 protein gradually increased with fruit ripening (Fig. 1E), confirming its potential role in fruit ripening.
SlCOP1-1 positively regulates tomato fruit disease resistance to B. cinerea
To further understand the biological function of SlCOP1-1, we generated Slcop1-1 mutants in tomatoes using CRISPR/Cas9 genome-editing technology. Two specific targets were designed to introduce mutations into the SlCOP1-1 locus. Three distinct homozygous Slcop1-1 mutant lines (CR-1, CR-12, and CR-21) were obtained, with 7-, 8-, and 5-bp deletions in the second target, resulting in nonfunctional truncated SlCOP1-1 proteins (Fig. 2A). No off-target editing was detected in these mutants (Supplementary Fig. S2). Simultaneously, SlCOP1-1 OE lines were developed using the cauliflower mosaic virus (CaMV) 35S promoter, and OE-2, OE-3, and OE-4 were selected for analysis.
Expression analysis of SlCOP1-1 in both Slcop1-1 mutant and SlCOP1-1 OE lines showed that the expression of SlCOP1-1 in SlCOP1-1 OE lines exhibits at least a 3-fold increase both in mRNA and protein levels compared to the wild type. In contrast, SlCOP1-1 protein was undetectable in Slcop1-1 mutants (Fig. 2B and C; Supplementary Fig. S3). Moreover, the expressions of other tomato COP1 orthologs (SlCOP1-2 and LeCOP1LIKE) were unaffected (Supplementary Fig. S4). These results confirm the successful construction of the Slcop1-1 mutants and SlCOP1-1 OE lines in tomatoes.
Next, we observed the ripening phenotypes of Slcop1-1 mutants and SlCOP1-1 OE lines during the cause of fruit ripening. As shown in Supplementary Fig. S5, a slight but significant difference (P < 0.05, Student's t-test) was observed in the days of fruit reaching the breaker stage between Slcop1-1 mutants or SlCOP1-1 OE lines and the wild type. Slcop1-1 mutants exhibited delayed ripening, while Slcop1-1 OE lines showed accelerated ripening. To further dig out the molecular events underlying fruit ripening, we examined the expression of several well-known ripening-related genes, including ACC synthase 2 (ACS2), ACC synthase 4 (ACS4), phytoene synthase (PSY), as well as phytoene desaturase (PDS). However, no significant changes (P < 0.05, Student's t-test) were observed in the expression of these genes in fruit at the breaker stage from either Slcop1-1 mutants or SlCOP1-1 OE lines compared to the wild type (Supplementary Fig. S5). These data suggest that SlCOP1-1 may play a minor role in regulating fruit ripening and the effects of SlCOP1-1 on fruit ripening might occur at the posttranscriptional level.
We further investigated whether SlCOP1-1 participates in fruit resistance to Botrytis cinerea by inoculating fruits harvested at 33 d post-anthesis (dpa). The disease incidence and lesion diameter were measured at 3 d post inoculation (dpi) when the obvious disease symptoms occurred in almost all fruits. Strikingly, Slcop1-1 mutants displayed higher disease incidence and larger lesions compared to the wild-type and SlCOP1-1 OE lines. Meanwhile, SlCOP1-1 OE lines exhibited significantly smaller lesions (P < 0.05, Student's t-test) than the wild type (Fig. 2D, E and F). We concurrently evaluated the fungal biomass in fruit based on the ratio of B. cinerea Actin to tomato Actin using qPCR amplification. Consistent with the disease symptoms, B. cinerea biomass was increased in Slcop1-1 mutant fruits and decreased in SlCOP1-1 OE fruit compared to the wild type (Fig. 2G). These results demonstrate that SlCOP1-1 plays a crucial role in positively regulating fruit resistance to B. cinerea.
SlCOP1-1 modulates the accumulation of proteins associated with fruit disease resistance
To decipher the molecular mechanism underlying SlCOP1-1-mediated resistance to B. cinerea in tomato fruit, we performed a comparative proteome analysis of the wild-type, Slcop1-1 mutants, and SlCOP1-1 OE fruits. Proteins from fruits harvested at 33 dpa from CR-1, CR-21, OE-2, and OE-3, as well as those from the wild type, were labeled with Tandem Mass Tag (TMT) reagent and submitted to NanoLC-MS/MS analysis. In CR-1, 353 proteins were identified as differentially expressed, including 100 upregulated and 253 downregulated proteins. Similarly, in CR-21, 242 proteins showed differential expression, with 67 upregulated and 175 downregulated proteins. The overlap between the 2 Slcop1-1 mutants revealed 21 upregulated and 135 downregulated proteins [fold change >1.5 or <0.67, P < 0.05 (Fig. 3A and B; Supplementary Data Set 1]. In OE-2, 319 proteins were differentially expressed, comprising 206 upregulated and 113 downregulated proteins. In OE-3, 457 proteins were differentially expressed, with 261 upregulated and 196 downregulated proteins. Notably, 129 upregulated and 72 downregulated proteins overlapped between the 2 SlCOP1-1 OE lines [fold change >1.5 or <0.67, P < 0.05 (Fig. 3C and D; Supplementary Data Set 1].
Next, 21 upregulated and 135 downregulated proteins in Slcop1-1 mutants were overlapped with the 72 downregulated and 129 upregulated proteins in SlCOP1-1 OE lines, respectively. Nine proteins with opposite expression patterns in Slcop1-1 mutants and SlCOP1-1 OE lines were identified (Fig. 3E), indicating their likely direct regulation by SlCOP1-1. These proteins included cell wall modification enzymes such as mannan endo-1,4-beta-mannosidase (MAN), pectate lyase (Pel), and Glucomannan 4-beta-mannosyltransferase 2 (GMFT2), nutrient transporters and metabolic enzymes like protein NRT1/PTR FAMILY 1.1 (NRT1), isopropylmalate synthase (IPMS), and 1,4-alpha-glucan-maltohydrolase (AMY), as well as other resistant proteins such as prosystemin [proSys (Fig. 3E; Supplementary Data Set 1)].
Furthermore, we performed a Gene Ontology (GO) enrichment analysis of differentially expressed proteins to identify the biological processes regulated by SlCOP1-1. This analysis highlighted processes such as “response to high/low intensity light,” “starch metabolic process,” “regulation of chlorophyl biosynthetic process” (Supplementary Data Set 2), suggesting a broader role for SlCOP1 beyond light-related functions. Furthermore, we focused on the enriched terms associated with disease resistance, such as “response to stimulus,” “response to stress” and “response to other organism.” It is shown that these terms were enriched in SlCOP1-1 OE lines and Slcop1-1 mutants (Fig. 3F; Supplementary Data Set 2). This result suggests that SlCOP1-1 directly or indirectly regulates these proteins to modulate tomato fruit disease resistance.
SlCOP1-1 directly interacts with SlOpaque2 in nuclei
As COP1 is an E3 ligase, we hypothesized that the downstream substrates of SlCOP1-1 might play a role in regulating disease resistance in tomato fruit. Thus, we conducted a Y2H screen to identify the potential partner that interacts with SlCOP1-1. In total, 104 colonies were isolated on the selective medium, resulting in the identification of 65 proteins (Supplementary Table S1). Further Y2H validation using their full-length coding sequence (CDS) revealed 5 candidate SlCOP1-1-interacting proteins, including the bZIP transcription factor SlOpaque2 [Solyc08g022080 (Supplementary Fig. S6; Fig. 4A)]. Given the previous study in maize (Zea mays) that demonstrated the involvement of Opaque2 in plant disease resistance (Loesch et al. 1976), we chose the SlOpaque2 protein for analysis.
To validate the interaction between SlCOP1-1 and SlOpaque2, we performed a split luciferase complementation imaging (LCI) assay. SlCOP1-1 and SlOpaque2, fused with the N- and C-termini of luciferase, respectively, were transiently co-expressed in N. benthamiana leaves. An obvious luminescence was observed in the leaves co-expressing SlCOP1-1-nLuc and cLuc-SlOpaque2, whereas no signals were detected in the negative controls (Fig. 4B). We subsequently carried out a pull-down assay using prokaryotically expressed MBP-SlCOP1-1 and GST-SlOpaque2 recombinant proteins. As shown in Fig. 4C, GST-SlOpaque2, but not the MBP tag protein, were observed to bind to MBP-SlCOP1-1, indicating the in vitro interaction between SlCOP1-1 and SlOpaque2. Moreover, we performed a co-immunoprecipitation (Co-IP) assay using proteins extracted from N. benthamiana leaves co-expressing SlCOP1-1-HA and SlOpaque2-GFP. Indeed, SlOpaque2-GFP was successfully co-immunoprecipitated with SlCOP1-1-HA by anti-HA beads (Fig. 4D), confirming the in vivo interaction between SlCOP1-1 and SlOpaque2.
We finally conducted a colocalization analysis of SlOpaque2 with SlCOP1-1 in N. benthamiana leaves. SlOpaque2 fused with red fluorescent protein mCherry and SlCOP1-1 fused with eGFP were transiently co-expressed in N. benthamiana leaves. As shown in Fig. 4E, SlOpaque2-mCherry showed a nucleus-localization signal, while SlCOP1-1-eGFP signals were observed in both cytoplasm and nucleus. The red signal from SlOpaque2-mCherry co-localized with the green signal from SlCOP1-1-eGFP in the nucleus, demonstrating the subcellular colocalization of SlCOP1-1 and SlOpaque2. Collectively, these data suggest that SlCOP1-1 can directly interact with SlOpaque2 in nuclei.
SlCOP1-1 mono-ubiquitinates and stabilizes the SlOpaque2 protein
To test our hypothesis that SlOpaque2 functions as a substrate for SlCOP1-1, we carried out an in vitro ubiquitination assay to determine whether SlCOP1-1 ubiquitinates SlOpaque2. We first detected the E3 ligase activity of SlCOP1-1 by incubating the MBP-tagged recombinant SlCOP1-1 protein (MBP-SlCOP1-1) with wheat (Triticum aestivum) E1, human E2, and Arabidopsis ubiquitin (Ub) in vitro. Immunoblot analysis, employing anti-MBP or anti-Ub antibodies, revealed high molecular mass bands specifically observed in the intact reaction set but absent in the negative controls (Fig. 5A), indicating the presence of ubiquitinated MBP-SlCOP1-1 proteins. These results confirmed the possession of E3 ligase activity by SlCOP1-1 and its capacity for self-ubiquitination in vitro. We then detected the ubiquitination of SlOpaque2 catalyzed by SlCOP1-1 in vitro. S-tagged recombinant SlOpaque2 (S-SlOpaque2) was subjected to the in vitro ubiquitination assay, followed by immunoblotting analysis using anti-S-Tag antibody. Notably, 2 ubiquitinated bands were observed, with a molecular weight increase of approximately 12 kDa [roughly equal to the molecular weight of a single His-Ub (Fig. 5B)], indicating that SlCOP1-1 can oligo-ubiquitinate SlOpaque2 in vitro.
To validate that SlCOP1-1 indeed mediates the oligo-ubiquitination of SlOpaque2, we further detected the ubiquitination of SlOpaque2 in vivo by transiently co-expressing SlCOP1-1 and SlOpaque2-HA in N. benthamiana leaves. After immunoprecipitation of total leaf extracts with anti-HA, immunoblotting analysis using anti-HA or anti-Ub antibodies revealed a prominent ubiquitinated band, corresponding to the molecular weight of SlOpaque2 plus one Ub, in samples co-expressing SlCOP1-1 and SlOpaque2-HA (Fig. 5C). This indicated the presence of “mono-ubiquitinated” SlOpaque2-HA catalyzed by SlCOP1-1. The SlCOP1-1-mediated mono-ubiquitinated band of SlOpaque2 was also observed in SlCOP1-1 OE lines but not in Slcop1-1 mutants, confirming the role of SlCOP1-1 in mono-ubiquitinating SlOpaque2 in tomatoes (Supplementary Fig. S7). Although we could not accurately distinguish more oligo-ubiquitinated bands, as observed in the in vitro assay, from numerous polyubiquitinated bands of SlOpaque2 in vivo, these results convincingly demonstrated the capacity of SlCOP1-1 to mono-ubiquitinate SlOpaque2 in vivo.
Since E3 ubiquitin ligase-mediated protein mono-ubiquitination is often associated with protein stability (Scheffner et al. 1995), we investigate the impact of SlCOP1-1 on the protein level of SlOpaque2 by transiently co-expressing SlCOP1-1-HA and SlOpaque2-Flag in N. benthamiana leaves. As expected, the results showed that co-expression of SlCOP1-1 and SlOpaque2 did not induce a reduction in SlOpaque2 protein; instead, it rendered SlOpaque2 protein more stable, exhibiting a roughly 50% increase in protein abundance compared to the expression of SlOpaque2 alone (Fig. 5D and E). We then monitored the degradation rate of SlOpaque2 by introducing the translation inhibitor cycloheximide (CHX) to the co-expressing system. As shown in Fig. 5F and G, SlOpaque2 underwent rapid degradation in N. benthamiana following CHX treatment. By contrast, the co-expression of SlOpaque2 with SlCOP1-1 substantially attenuated SlOpaque2 degradation (67% to 73%) compared to the expression of SlOpaque2 alone. Further analysis showed that the degradation of SlOpaque2 could be decreased (29% to 33%) upon the application of the proteasome inhibitor MG132 (Fig. 5H and I). These results demonstrated that SlOpaque2 degrades via the ubiquitin-proteasome system and SlCOP1-1 plays a pivotal role in stabilizing SlOpaque2.
To identify the key ubiquitination site contributing to SlOpaque2 ubiquitination and stability mediated by SlCOP1-1, we conducted a site-directed mutagenesis analysis for all seven lysine residues (substitution of lysine [K] by arginine [R]) in SlOpaque2 protein. Co-expressing SlCOP1-1 with the mutant SlOpaque2 in N. benthamiana leaves revealed that, compared with individual mutations at K18, K41, K49, K61, K70, K72, and K79, the mutation at K70 specifically led to the loss of “mono-ubiquitinated” band and a substantial reduction in SlOpaque2 protein levels (Fig. 5J), indicating the critical role of K70 in SlCOP1-1-mediated SlOpaque2 ubiquitination and stability. Furthermore, we assessed the influence of SlCOP1-1 presence on the SlOpaque2K70R variant protein stability. Indeed, the presence of the SlCOP1-1 protein did not alter the levels of the SlOpaque2K70R variant protein (Fig. 5K and L). Taken together, these data indicated that K70 serves as the key site responsible for SlCOP1-1-mediated stability of SlOpaque2.
SlOpaque2 enhances tomato resistance to B. cinerea
Previous studies have demonstrated that Opaque2 plays a positive regulatory role in kennel nutrition accumulation and plant disease resistance in maize (Loesch et al. 1976). However, the functions of Opaque2 in other plants, including tomato, remain unexplored. Expression data from the TEA database (Shinozaki et al. 2018) revealed a relatively high expression of the SlOpaque2 gene during tomato fruit development and ripening (Fig. 6A). RT-qPCR analysis further confirmed that SlOpaque2 exhibited stable and elevated gene expression in both vegetable and fruit organs (Fig. 6B), suggesting its potential roles in fruit-related processes. Notably, SlOpaque2 expression was significantly increased (P < 0.05, Student's t-test) in tomato fruits following inoculation with B. cinerea (Fig. 6C), indicating its involvement in modulating disease resistance in tomato against this pathogen.
To further investigate the role of SlOpaque2 in the regulation of tomato resistance to B. cinerea, we employed virus-induced gene silencing (VIGS) to knock-down the SlOpaque2 gene in tomato and assessed its impact on plant defense against B. cinerea. An optimized cDNA fragment of SlOpaque2 was cloned into the pTRV2 vector and co-injected with the pTRV1 vector into the tomato cv. Micro-Tom plant. As shown in Fig. 6D, RNA fragments transcribed from the virus vectors pTRV1, pTRV2, and pTRV2-SlOpaque2 could be detected in SlOpaque2-silenced plants. Meanwhile, the transcript level of SlOpaque2 in SlOpaque2-silenced plants was reduced by approximately 68% in leaves and 55% in fruits compared to the control (Fig. 6E), confirming that SlOpaque2 gene was successfully silenced in tomato. Fruit phenotype and gene expression analysis on ripening-related genes (i.e. ACS2, ACS4, PSY1, and PDS) showed no obvious changes in fruit ripening after SlOpaque2 knock-down (Supplementary Fig. S8). We then carried out a B. cinerea inoculation assay on SlOpaque2-silenced tomato, and the results showed that both leaves and fruits exhibited larger lesion diameters compared to those of the wild type (Fig. 6F and G). These findings collectively suggested that SlOpaque2 plays a crucial role in contributing to disease resistance against B. cinereal in tomatoes.
SlCOP1-1-mediated stability of SlOpaque2 enhances plant resistance to B. cinerea
Next, we investigated the impact of SlCOP1-1-mediated stability on SlOpaque2 in regulating resistance to B. cinerea using the N. benthamiana expression system. SlOpaque2-Flag was transiently co-expressed with SlCOP1-1-HA in N. benthamiana leaves, and B. cinerea was inoculated at 24 h post-agroinfiltration when the protein was evidently expressed (Supplementary Fig. S9). As shown in Fig. 7A and B, leaves co-expressing SlOpaque2 and SlCOP1-1 exhibited reduced disease severity compared to leaves expressing SlOpaque2 alone. Conversely, co-expression of the SlOpaque2k70R-Flag variant with SlCOP1-1 did not alleviate the disease symptoms of leaves. These data suggest that SlCOP1-1-mediated ubiquitination and stability enhance the ability of SlOpaque2 in plant resistance to B. cinerea.
To decipher the potential mechanism of SlCOP1-1 promoting SlOpaque2 function, we investigated whether the transcriptional activity of SlOpaque2 is regulated by SlCOP1-1. Using a dual reporter system in N. benthamiana, SlOpaque2 fused with GAL4BD (BD) was co-expressed with firefly luciferase (LUC) driven by 5 × GAL4 in combination with the minimal TATA region of CaMV35S, as well as renilla luciferase (REN) driven byCaMV35S. As shown in Fig. 7C, SlOpaque2 alone can activate the transcription of LUC. Co-expression of SlOpaque2 and SlCOP1-1 significantly enhanced the LUC transcription (P < 0.05, Turkey's t-test), while co-expression of the SlOpaque2K70R-flag variant and SlCOP1-1 showed no obvious effect on LUC transcription. This suggested that the transcriptional activity of SlOpaque2 is increased by SlCOP1-1-mediated ubiquitination and stability.
To further confirm the regulatory relationship of SlCOP1-1 with SlOpaque2 in tomato fruit, we examined the expression of SlOpaque2 in tomato fruit of Slcop1-1 mutants, SlCOP1-1 OE lines, as well as the wild type. Fruits harvested at 33 dpa were subjected to RT-qPCR analysis and immunoblotting analysis. The results showed that SlOpaque2 protein levels showed about 2-fold reduction in Slcop1-1 mutant and 1.5-fold increase in SlCOP1-1 OE lines, respectively (Fig. 7D and E). In contrast, no significant changes (P < 0.05, Student's t-test) occurred in SlOpaque2 transcript levels between Slcop1-1 mutants or SlCOP1-1 OE lines and the wild type (Fig. 7F). These data indicated that SlCOP1-1 regulates the steady-state level of SlOpaque2 post-translationally in tomato fruit, which might, in turn, affect fruit resistance to B. cinerea. Based on these results, we propose a model for the regulation of tomato resistance to B. cinerea by SlCOP1-1-mediated SlOpaque2 mono-ubiquitination and stability (Fig. 7G).
Discussion
SlCOP1-1 orchestrates tomato fruit defense against B. cinerea while having minor influence on ripening
Although several studies have demonstrated that COP1 can regulate fruit ripening by controlling fruit pigmentation (Liu et al. 2004; Li et al. 2012; Liu et al. 2023, Zhao et al. 2023), SlCOP1-1 seemingly exerts only a minor influence on this process. In our study, we generated knockout mutants and OE lines of SlCOP1-1 through stable genetic transformation and systematically observed their ripening characteristics, including the days from anthesis to the breaker stage, fruit color, and global protein changes. Unlike transiently transformed fruit in prior studies, mutant fruits from our stable genetic transformation provide a more conducive material to observe the entire ripening progress. We found significant, yet minor changes (P < 0.05, Student's t-test) in the days to the breaker stage of Slcop1-1 mutants or SlCOP1-1 OE lines compared to wild-type fruit, and only a few ripening-related proteins or genes were differentially identified in these fruits (Fig. 1; Supplementary Fig. S5; Supplementary Data Set 1). These results suggest that SlCOP1-1 play a minor role in controlling fruit ripening progress. Considering that LeCOP1like, another homologous gene to AtCOP1 in tomatoes, have been reported to regulate fruit ripening through its negative regulatory role in pigmentation (Liu et al. 2004), we infer that COP1 genes in tomatoes have undergone apparent functional divergence following gene duplication. Additionally, previous studies have shown that OE of Solanum melongena COP1 in tomatoes can affect fruit ripening through influencing ethylene signaling (Naeem et al. 2019). Further research could elucidate whether SlCOP1-1 or LeCOP1like regulates fruit ripening through the ethylene pathway.
While COP1 has been previously implicated in plant resistance against viruses and bacteria (Jeong et al. 2010; Gangappa 2018; Lim et al. 2018), its role in regulating disease resistance to fungal pathogen remains poorly understood. Our study found that SlCOP1-1 is a B. cinerea responsive gene, with its expression significantly increasing (P < 0.05, Student's t-test) in tomato fruit following Botrytis inoculation (Supplementary Fig. S10). Furthermore, we provided evidence that COP1 can positively regulate fruit resistance to B. cinerea (Fig. 2). Additionally, we proposed that the SlCOP1-1-SlOpaque2 module contributes to mediating this process, which not only enriches the pleiotropic functions of COP1 but also provides insights into understanding the gene regulatory networks contributing to fruit disease resistance. Nevertheless, it cannot be ignored that there may be other mechanisms through which SlCOP1-1 regulates fruit resistance. Indeed, our study revealed a substantial number of differently expressed proteins associated with disease resistance in Slcop1-1 mutant and SlCOP1-1 OE line (Fig. 3; Supplementary Data Set 1). Some of these proteins have been reported to be involved in fruit resistance to fungal pathogens, such as those related to cell wall metabolism [e.g. xyloglucan endotransglucosylase/hydrolase, XTH (Miedes 2007)], the redox system (e.g. catalase, CAT; peroxidase, POD; Peptide methionine sulfoxide reductase, MsrA) (Hua et al. 2018; Camejo et al. 2019), heat shock proteins [e.g. HSF8 (Yang et al. 2023)], and other resistant proteins [e.g. carbonic anhydrase, CA (Zhou et al. 2023]. Therefore, it is worthwhile to further explore whether there are direct regulatory relationships between COP1 and these resistance pathways.
SlOpaque2 is a multifunctional transcription factor regulated by multiple levels
Opaque2, identified as a bZIP transcription factor in maize, has been well characterized for its control of various maize agronomic traits, including kennel nutrients, soft texture, and susceptibility to disease (Loesch et al. 1976; Schmidt et al. 1990). Recent investigations on the transcriptional regulatory framework of Opaque2 have unveiled its diverse functions in directly and indirectly regulating genes associated with nutrient accumulation, nitrogen metabolism, and stress resistance (Li et al. 2015). Although the role of Opaque2 is well-established in maize, its function in other plants, including tomato, remains uncertain. In our study, we observed the obvious transactivation activity of SlOpaque2 and its upregulated expression during fruit ripening (Fig. 6). By using in vivo incubation assays, we established a negative association between Opaque2 and decay caused by B. cinerea (Fig. 6), suggesting a role for SlOpaque2 in fruit resistance to B. cinerea. In maize, ZmOpaque2 imparts plant resistance, possibly through directly regulating the expression of antifungal proteins (e.g. ribosome-inactivating protein 1, RIP1), stress resistance-related protein (e.g. lactoylglutathione lyase, LGL), and endopeptidase inhibitors (Lohmer et al. 1991; Li et al. 2015). However, these target proteins of Opaque2 appear not to exist or are not altered in Slcop1-1 mutant or SlCOP1-1 OE lines (Supplementary Data Set 1), implying a distinct target network modulated by SlOpaque2 in tomato, which requires further investigation.
Opaque2 is subject to regulation at multiple levels. Previous studies demonstrated that maize Opaque2 activity is regulated by RNA abundance, protein phosphorylation, and protein poly-ubiquitination during its diurnal regulation of nutrient accumulation (Ciceri et al. 1999; Li et al. 2020). Recently, the maize Sucrose non-fermenting-1 Related Protein Kinase 1 (SnRK1)-RING Finger Protein with WD40 Domain 3 (RFWD3)-Opaque2 signaling axis was identified as modulating ZmOpaque2 activity in response to sucrose levels, in which Opaque2 is oligo-ubiquitinated by ZmRFWD3 E3 ligase, enhancing Opaque2 nuclear localization ability (Li et al. 2020). In our study, we observed ubiquitination of SlOpaque2 and SlOaque2 degradation mediated by the ubiquitin-proteosome system (Fig. 5), indicating a similar regulatory mechanism in different plant systems. Furthermore, we found that the ubiquitination of SlOpaque2 at the K70 site, catalyzed by SlCOP1-1 E3 ligase, reduces poly-ubiquitination and degradation of SlOpaque2 protein (Fig. 5). This suggests that SlCOP1-1 may compete with other E3 ligases responsible for SlOpaque2 poly-ubiquitination, binding to and then mono-ubiquitinating SlOpaque2, as the case of COP1 and Anaphase Promoting Complex (APC) E3 ligase in the stability of double-stranded RNA-binding protein 4 (DRB4) during plant resistance to viruses (Lim et al. 2018). Given that the oligo-ubiquitination of ZmOpaque2 enhances its nuclear localization ability (Li et al. 2020), it would be interesting to explore whether mono-ubiquitination mediates the shuttle ability of SlOpaque2, thereby avoiding its UPS-mediated degradation.
SlCOP1-1-SlOpaque2 module represents a mechanism for enhancing fruit disease resistance
COP1 typically plays a role in protein degradation, controlling various biological processes by directly or indirectly degrading the regulators in plants (Shi et al. 2016). However, several cases showed that COP1 deviates from its canonical degradation role. For instance, COP1/Suppressor of PhyA (SPA) promotes the stability of PHYTOCHROME INTERACTING FACTOR 3 (PIF3), a key repressor of photomorphogenesis, by blocking the interaction of PIF3 with its kinase Brassinosteroid-Insensitive 2 (BIN2), contributing to the precise regulation of skotomorphogenesis (Ling et al. 2017). In our study, we unveil another noncanonical mechanism of COP1 in plants, by which SlCOP1-1 mediates the mono-ubiquitination and stability of SlOpaqure2, thereby enhancing SlOpaque2 transactivation activity and fruit resistance to B. cinerea. Thus, the SlCOP1-1-Opaque2 module represents a mechanism for COP1 to mediate disease resistance. Nevertheless, there is much to be elucidated about the precise regulation of the SlCOP1-1-SlOpaque2 module in future studies. Specifically, it is unknown whether light signals regulate the SlCOP1-1-SlOpaque2 module. Native SlCOP1-1 in tomato fruit were more abundant in the fruit nucleus under dark conditions and in fruit non-nuclear cellular components under light conditions (Supplementary Fig. S11), suggesting that the localization of SlCOP1-1 in fruit is light-induced, and the interaction between SlCOP1-1 and SlOpaque2 might primarily occur in darkness in fruit. Our study indeed revealed that several differentially expressed proteins responding to high or low light intensity were significantly enriched (P < 0.05, background-based t-test) in Slcop1-1 mutant and SlCOP1-1 OE fruits (Supplementary Data Set 2). Given that COP1 is a key component of the light signaling pathway (Deng et al. 1992) and Opaque2 appears to be regulated by the day–night rhythm (Ciceri et al. 1999; Li et al. 2020), further research is needed to unveil the role of light signals in the regulation of the SlCOP1-1-SlOpaque2 module. This will aid in understanding the relationship between light and fruit resistance to pathogens.
As tomato fruit ripens, the expression of SlCOP1-1 and SlOpaque2 increases, and the SlCOP1-1-SlOpaque2 module-mediated fruit disease resistance is also enhanced. However, ripening fruit becomes more susceptible to inoculation by B. cinerea (Prusky 1996). One possible explanation for this contradiction is that as the fruit ripens, the texture softens, sugars, acid, and water accumulate, and the levels of resistant substances decrease, which facilitates pathogen invasion and multiplication (Cantu et al. 2008; Alkan et al. 2015). If the disease susceptibility caused by these factors in fruit becomes stronger than the fruit's inherent disease resistance, the fruit will exhibit susceptibility to disease. Conversely, if the disease resistance pathway of the fruit is strengthened, the ability of the fruit to defend against pathogen fruit will be enhanced. In our study, tomato fruits overexpressing SlCOP1-1 exhibited substantially stronger disease resistance than wild-type fruit and the Slcop1-1 knockout fruits; this suggests that the defense mediated by the SlCOP1-1-SlOpaque2 module surpasses the effect of SlCOP1-1 in accelerating fruit ripening. Therefore, the SlCOP1-1-SlOpaque2 module represents potential target genes for improving fruit disease resistance through genetic breeding in the future.
Materials and methods
Plant materials
Tomato plants (Solanum lycopersicum cv. Ailsa Craig) were grown in a greenhouse under standard culture conditions, with regular fertilizer and supplementary lighting. To accurately assess the fruit ripening stage, flowers were labeled at anthesis. Both transgenic and wild-type fruits were harvested at 20-, 36-, 39-, 42-, and 45 dpa, corresponding to the immature (IM), mature green (MG), breaker (Br), orange (Or), and red ripe (RR) stages of wild-type fruits, respectively. Nicotiana benthamiana and tomato cv. Micro-Tom plants were cultivated in a growth room maintained at 22°C, with 60% to 80% relative humidity and a 16/8 h light/dark photoperiod. Leaves or fruits were immediately collected, frozen in liquid nitrogen, and stored at −80°C for subsequent analysis.
Phylogenetic analysis
The amino acid sequences of SlCOP1-1 (Solyc12g005950), SlCOP1-2 (Solyc11g011980), and LeCOP1LIKE (Solyc11g005190) were acquired from Sol Genomics Network (SGN; https://solgenomics.net/tools/blast/). Additional COP1 homologous proteins from different species were obtained from the National Center for Biotechnology Information (NCBI) database (https://www.ncbi.nlm.nih.gov/). Multiple protein sequence alignments were performed using DNAMAN software (version 8) with default parameters. The phylogenetic tree was generated by MEGA (version 10.1.8) with bootstrap values from 500 replicates for each branch.
RT-qPCR analysis
Total RNA was separately extracted from tomato pericarps and other tissues using the hot phenol method (Moore et al. 2005). Genomic DNA digestion, first-strand cDNA synthesis, and RT-qPCR were performed according to previously described methods (Wang et al. 2020). The 2−ΔΔCt method was used to calculate relative gene expression levels, with Actin (Solyc11g005330) serving as the normalization control across diverse samples. Primer sequences for PCR amplifications are listed in Supplementary Table S2. Each experiment contained 3 independent biological replicates, with each replicate consisting of a pool of 5 tissues collected from at least 3 plants.
Subcellular localization
For subcellular localization analysis, the CDS of SlCOP1-1 and SlOpaque2 were individually cloned into the pCambia2300-eGFP and pCambia2300-mCherry vectors, resulting in the generation of OE constructs SlCOP1-1-eGFP and SlOpaque2-mCherry. The constructed plastids were then introduced into Agrobacterium tumefaciens strain GV3101, which were subsequently infiltrated into N. benthamiana leaves according to the method described by Sparkes et al. (2006). For colocalization analysis, A. tumefaciens strain GV3101 harboring the constructs SlCOP1-1-eGFP and SlOpaque2-mCherry were co-infiltrated into N. benthamiana leaves. Following infiltration, the N. benthamiana plants were cultured for 36 h. Mesophyll protoplasts were isolated according to the previously described method (Lei et al. 2014) and visualized under a Leica confocal microscope (Leica DMI600CS).
GFP fluorescence was excited with a 488-nm laser and monitored at 505 to 550 nm, while mCherry was excited at 561 nm and monitored at 610 to 650 nm, both with a pinhole setting of 1.5 AU.
Polyclonal antibodies preparation
Polyclonal antibodies were produced by Abmart Shanghai Co., Ltd. (China), following the protocol described by Wang et al. (2017). For the preparation of the SlCOP1-1-specific antibody, the immune peptide RRMGDKEEGGSV was synthesized and employed. For the preparation of the SlOpaque2-specific antibody, a fragment of SlOpaque2 lacking the conserved domain was expressed, purified from Escherichia coli BL21 (DE3), and used as an antigen protein. Rabbits were immunized with either the SlCOP1-1 synthetic peptide or the SlOpaque2 protein antigen to produce immune serum. The obtained sera were then subjected to affinity-purification using the corresponding synthetic peptide or proteins. The primers used for the amplification of the SlOpaque2 fragment are listed in Supplementary Table S2.
Protein extraction and immunoblot analysis
Total protein extraction from tomato fruit and N. benthamiana leaves was performed according to a previously established protocol (Wang et al. 2020). Nuclear isolation and nuclear protein extraction were conducted followed by the previous method (Wang et al. 2021). Each extraction was conducted with 3 independent biological replicates, each consisting of a pool of 5 leaves or fruits collected from at least 3 plants. Immunoblot analysis was conducted following a previously described method (Wang et al. 2020), with actin serving as an internal control. In brief, protein samples were separated by 10% (w/v) SDS-PAGE and then transferred to a PVDF membrane (Millipore, IPVH00010) using a semi-dry transblotter unit (Bio-Rad, USA). The membranes were blocked for 1 h at room temperature with 5% (w/v) nonfat milk or 1% (w/v) BSA in TBST buffer. Immunoblotting was carried out with the corresponding primary and secondary antibodies at room temperature for 1 h. The immunoreactive bands were visualized using a chemiluminescence detection kit (Mei5 Biotechnology Co., Ltd, China) following the manufacturer's protocol.
Plant transformation
For the construction of the CRISPR/Cas9 vector, 2 specific sgRNA targeting the coding region of SlCOP1-1 were designed and individually incorporated into the pYLCRISPR/Cas9Pubi-H binary plasmid, following the protocol described by Ma et al. (2015). The off-target sites were predicted using CRIPR-P (version 2.0, http://crispr.hzau.edu.cn/CRISPR2/). To generate the 35S:SlCOP1-1 construct, the CDS of SlCOP1-1 was inserted into pCambia1302 vector between CaMV 35S promoter and NOS terminator. Following verification through sequencing, the resulting constructs were transformed into A. tumefaciens strain GV3101, which were then used for tomato transformation following a previously established method (Fillatti et al. 1987). The CRISPR/Cas9-based knockout mutants were screened at the targeted sites using PCR amplification and sequencing. Transgenic OE plants were confirmed by PCR genotyping. The primers used for vector construction and screening the transgenic plants are listed in Supplementary Table S2.
Pathogen inoculation
Inoculation of fruits and leaves with B. cinerea was performed according to the procedures described in a previous study (Zhou et al. 2023). The B. cinerea strain B05.10 was cultured on Potato Dextrose Agar plates for 2 wk. Spores were collected and adjusted to a final concentration of 1 × 105 conidia per milliliter. Five microliters of conidia suspension were then inoculated into each pre-wounded fruit or detached leaves. The inoculated fruit or leaves were kept in a growth room at 22°C, with 60% to 80% relative humidity and a 16/8 h light/dark photoperiod. Fungal growth was evaluated by quantifying the ratio of B. cinerea Actin relative to tomato Actin through qPCR amplification using DNA extracted from lesion tissue. The primers used for qPCR are listed in Supplementary Table S2. Each experiment was conducted with 3 independent biological replicates, with each replicate consisting of 15 fruits or leaves, and each fruit or leaf providing 2 to 4 inoculation sites.
Quantitative proteomic analysis
Quantitative proteomic analysis was performed according to a previously established method (Wang et al. 2023). Proteins were separately extracted from 2 Slcop1-1 mutant lines (CR-1, CR-21), 2 SlCOP1-1 OE lines (OE-2, OE-3), and the wild-type fruits. About 100 μg of proteins from each sample were subjected to reduction, alkylation, and tryptic digestion. The resulting tryptic peptides were labeled using the TMT reagents 6-plex Kit (Thermo Scientific) following the manufacturer's protocol. The TMT-labeled peptides were then combined, lyophilized, and subjected to high-pH reversed-phase chromatography. A total of 24 fractions were collected, consolidated into six pools, and subsequently desalted before LC-MS/MS analysis. Three independent biological replicates were applied for proteomic analysis, with each replicate using 10 fruits collected from at least 3 plants.
Protein identification and relative quantification were conducted using Proteome Discoverer software (version 2.4). Mass spectra data were utilized for searching the tomato protein database (tomato build_SL3.0 reference genome; https://solgenomics.net/ftp/tomato_genome/assembly/build_3.00/). A reverse database search strategy was employed to determine the global False Discovery Rate (FDR) for peptide identification. Background-based t-tests were applied to assess statistically significant differences in protein levels. Proteins meeting the criterion of FDR <0.01, along with fold change ratios >1.5 or <0.67 (P < 0.05), were considered statistically significant. GO enrichment analysis was performed based on the EggNOG database using eggnog-mapper software (v2.0). The enrichment of differentially expressed protein was assessed using a 2-tailed Fisher's exact test.
Y2H analysis
Y2H screening was conducted following a previously described method (Wang et al. 2017). A tomato fruit cDNA library, constructed in the prey vector pGADT7 (AD), was screened with the intact CDS of SlCOP1-1 cloned into pGBKT7 (BD) in yeast (Saccharomyces cerevisiae) strain AH109 (Clontech), following the manufacture's manual (Clontech). For Y2H analysis of SlCOP1-1 with other proteins, the intact CDS of these proteins were individually cloned into the AD vector. The resulting recombinant vectors were co-transformed with BD-SlCOP1-1 into S. cerevisiae strain AH109 and then cultured on selective media, including SD/-Leu/-Trp media (-LW), SD/-Leu/-Trp/-His media (-LWH), and SD/-Leu/-Trp/-His/-Ade media (-LWHA), with or without X-α-gal. BD and AD, BD and AD-SlOpaque2, as well as BD-SlCOP1-1 and AD, were co-transformed in parallel as negative controls. The primers used in vector construction are listed in Supplementary Table S2.
LCI assay
The LCI assay was conducted following the method described by Chen et al. (2008). The CDS of SlCOP1-1 and SlOpaque2 were cloned into split LUC vectors, pCambia1300-nLUC/cLUC, to generate 35S:SlCOP1-1-nLUC and 35S:cLUC-SlOpaque2, respectively. The recombinant constructs were transformed into A. tumefaciens strain GV3101, which were then infiltrated into N. benthamiana leaves. After a 2-d incubation, the infiltrated leaves were sprayed with luciferin substrate and kept in the dark for 5 min. The experiment was performed with at least 3 N. benthamiana leaves. Chemiluminescence Imaging System (Tanon) was applied for image capture. The primers used in vector construction are listed in Supplementary Table S2.
Pull-down assay
The pull-down assay was conducted according to a previously described protocol (Wang et al. 2020). The CDS of SlCOP1-1 and SlOpaque2 were individually cloned into pETMALc-H and pGEX-4T-2 vectors (GE Healthcare, USA) and introduced into competent E. coli strain Rosetta (DE3) cells (TransGen Biotech, China) for prokaryotic expression. The recombinant GST-SlOpaque2 and MBP-SlCOP1-1 proteins were purified separately using glutathione Sepharose beads (GE Healthcare, USA) and amylose resin (New England Bio-labs, USA) following the respective user manual. The purified GST-SlCOP1-1 and MBP-SlOpaque2 proteins were mixed and then collected using anti-HA agarose (Cell Signaling Technology). The proteins were then eluted and subjected to immunoblotting analysis using anti-GST or anti-MBP antibodies. The primers used in vector construction are listed in Supplementary Table S2.
Co-IP assay
The Co-IP assay was conducted following a previously established protocol (Wang et al. 2020). The CDS of SlCOP1-1 and SlOpaque2 were individually cloned into the pCambia2300 vector to generate 35S:SlCOP1-1-HA and 35S:SlOpaque2-GFP plasmids. The constructed plasmids were then transformed into A. tumefaciens strain GV3101, which were subsequently co-infiltrated into N. benthamiana leaves. After 48 h of infiltration, total leaf proteins were extracted and inoculated with anti-HA magnetic beads (Cell Signaling Technology) at 4°C for 2 h. Following collection, washing, and elution, the proteins eluted from magnetic beads were subjected to immunoblotting analysis using anti-HA or anti-GFP antibodies (Cell Signaling Technology). A negative control was established using mCherry-HA. The primers used in vector construction are listed in Supplementary Table S2.
In vitro ubiquitination assay
The in vitro ubiquitination assay was conducted following the protocol described by Xie et al. (2002). For determining the E3 ligase activity of SlCOP1-1, MBP-SlCOP1-1 expressed and purified from E. coli, as described above, was incubated with His-tagged wheat E1 (UBA1, M55604.1), human E2 (UBCh5b, U39317.1), and Arabidopsis ubiquitin (UBQ14, At4g02890), provided by professor Jingbo Jin (Institute of Botany, Chinese Academy of Sciences). For detecting the ubiquitination of SlOpaque2 by SlCOP1-1, the CDS of SlOpaque2 was inserted into pET-30a and expressed in E. coli as the recombinant S-tagged SlOpaque2 protein. Following purification, the S-SlOpaque2 protein was added to the above in vitro ubiquitination assay. The resulting reaction products were analyzed via immunoblot using anti-S-Tag, anti-MBP or anti-Ub antibodies (Cell Signaling Technology). The primers used in vector construction are listed in Supplementary Table S2.
In vivo ubiquitination assay
The in vivo ubiquitination assay using N. benthamiana transient expression system was conducted following the protocol described by Wang et al. (2020). The CDS of SlCOP1-1 and SlOpaque2 was separately cloned into pCambia1302 vector to construct 35S:SlCOP1-1 and 35S:SlOpaque2-HA plasmids. The resulting constructs were co-transformed into A. tumefaciens strain GV3101, followed by A. tumefaciens mediated infiltration of N. benthamiana leaves. After 36 h of infiltration, total proteins from N. benthamiana leaves were extracted and then subjected to incubation with anti-HA magnetic beads (Cell Signaling Technology). To detect the ubiquitination of SlOpaque2 in tomato fruit, total proteins extracted from fruits of SlCOP1-1 OE lines and Slcop1-1 mutants were immunoprecipitated with anti-SlOpaque2 antibody. Following collection and washing, the immunoprecipitated proteins were eluted from beads and analyzed by immunoblot using anti-HA or anti-Ub antibodies (Cell Signaling Technology). The primers used in vector construction are listed in Supplementary Table S2.
Protein stability and degradation assays
Protein stability and degradation assays were conducted following the protocol described by Wang et al. (2020). The CDS of SlOpaque2 was cloned into the pCambia1302 vector to construct 35S:SlOpaque2-Flag vectors. The 35S:SlCOP1-1-HA was constructed as described above. The resulting plasmids were transformed into A. tumefaciens strain GV3101, which were then co-infiltrated in N. benthamiana leaves. For protein stability assay, the leaves were treated with 50 μM MG132 after 36 h of infiltration and sampled 2 h after treatment. For monitoring the degradation rate, the leaves were treated with 250 μM CHX 36 h after infiltration and then incubated for another 2 h before sampling. After total protein extraction from N. benthamiana leaves, immunoblot analysis was conducted using anti-flag (Cell Signaling Technology). The intensity of protein bands was quantified using ImageJ software (https://imagej.net/ij/index.html), with the quantitative values representing the means of 3 biological replicates. The primers used in vector construction are listed in Supplementary Table S2.
VIGS assay
The VIGS assay was conducted following the protocol described by Fu et al. (2005) with minor modifications. A specific cDNA fragment of SlOpaque2 was integrated into the pTRV2 vector to generate pTR2-SlOpaque2, which was then introduced into A. tumefaciens strain GV3101. Equivalent aliquots of A. tumefaciens containing pTR2-SlOpaque2 or pTRV1 were mixed, collected, and resuspended in infiltration media to achieve an optical density of 0.3 at OD600. Approximately 20 Micro-Tom tomato plants (4-wk-old) were subjected to needle injection into the peduncles. The primers used in vector construction are listed in Supplementary Table S2.
Transcriptional activity assay
The transcriptional activity assay in N. benthamiana leaves was conducted following the previously described method (Wang et al. 2021). Briefly, the CDS of SlOpaque2 was cloned into the effector plasmid (pEAQ-BD), fusing with GAL4BD riven by the CaMV35S. The effector construct was co-transformed with a dual LUC reporter vector into N. benthamiana leaves using A. tumefaciens strain GV3101. The reporter vector contained REN driven by CaMV35S and firefly LUC fused with 5 × GAL4 under the control of the minimal TATA region of CaMV35S. Following 36 h of incubation, LUC and REN luciferase activities were assessed using dual-luciferase assay kits (Promega), and the transcriptional activity was quantified by the ratio of LUC to REN. The primers used in vector construction are listed in Supplementary Table S2.
Statistical analyses
GraphPad Prism 10.0 was used for statistical analysis. Data are shown as the means ± standard deviation (SD) of at least 3 independent biological experiments. Statistical significance was analyzed by 2-tailed Student's t-test. For comparisons among multiple groups, ANOVA was performed. P < 0.05 was considered statistically significant, with individual P-values indicated by asterisks in figures (*, P < 0.05; **, P < 0.01; ***, and P < 0.001).
Accession numbers
Sequence data from this article can be found in Supplementary Table S2. The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium (https://www.iprox.cn/page/home.html) via the iProX partner repository with the dataset identifier IPX0009181000 and PXD053671.
Supplementary Material
Acknowledgments
We would like to thank Dr. Zhuang Lu for her assistance with MS/MS analysis and the Jingjie Biology Company (Hangzhou, China) for their support in GO enrichment analysis.
Contributor Information
Guangtong Gao, State Key Laboratory of Plant Diversity and Specialty Crops, Institute of Botany, Chinese Academy of Sciences, 100093 Beijing, China; China National Botanical Garden, 100093 Beijing, China; College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, 100049 Beijing, China.
Leilei Zhou, State Key Laboratory of Plant Diversity and Specialty Crops, Institute of Botany, Chinese Academy of Sciences, 100093 Beijing, China; China National Botanical Garden, 100093 Beijing, China.
Jinying Liu, State Key Laboratory of Plant Diversity and Specialty Crops, Institute of Botany, Chinese Academy of Sciences, 100093 Beijing, China; China National Botanical Garden, 100093 Beijing, China; College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, 100049 Beijing, China.
Peiwen Wang, China National Botanical Garden, 100093 Beijing, China; College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, 100049 Beijing, China.
Pichang Gong, State Key Laboratory of Plant Diversity and Specialty Crops, Institute of Botany, Chinese Academy of Sciences, 100093 Beijing, China; China National Botanical Garden, 100093 Beijing, China; College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, 100049 Beijing, China.
Shiping Tian, China National Botanical Garden, 100093 Beijing, China; College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, 100049 Beijing, China.
Guozheng Qin, State Key Laboratory of Plant Diversity and Specialty Crops, Institute of Botany, Chinese Academy of Sciences, 100093 Beijing, China; China National Botanical Garden, 100093 Beijing, China; College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, 100049 Beijing, China.
Weihao Wang, China National Botanical Garden, 100093 Beijing, China; College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, 100049 Beijing, China.
Yuying Wang, State Key Laboratory of Plant Diversity and Specialty Crops, Institute of Botany, Chinese Academy of Sciences, 100093 Beijing, China; China National Botanical Garden, 100093 Beijing, China; College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, 100049 Beijing, China.
Author contributions
Y.W. and W.W. conceived and designed the research; G.G., W.W., L.Z., J.L., P.W., and P.G. performed the experiments; S.T. and G.Q. provided critical discussions; Y.W., G.G., and W.W. analyzed the data; Y.W. and W.W. wrote the manuscript.
Supplementary data
The following materials are available in the online version of this article.
Supplementary Figure S1. Phylogenetic analysis of 3 putative tomato COP1 orthologs.
Supplementary Figure S2. Off-target analysis in Slcop1-1 mutants.
Supplementary Figure S3. Western blot analysis of SlCOP1-1 in Slcop1-1 mutants and SlCOP1-1 OE lines.
Supplementary Figure S4. Transcript levels of SlCOP1-2 and LeCOP1LIKE in Slcop1-1 mutants and SlCOP1-1 OE lines.
Supplementary Figure S5. Ripening phenotype of Slcop1-1 and SlCOP1-1 OE fruits.
Supplementary Figure S6. Y2H validation confirms the interaction between SlCOP1-1 and candidates identified by Y2H screen.
Supplementary Figure S7. SlCOP1-1-mediated ubiquitination of SlOpaque2 in tomato.
Supplementary Figure S8. Fruit phenotype and ripening-related gene expression analysis in SlOpaque2-silenced fruits.
Supplementary Figure S9. Transient co-expression of SlOpaque2 and SlCOP1-1 in Nicotiana benthamiana leaves.
Supplementary Figure S10. SlCOP1-1 expression in fruits with or without B. cinerea inoculation.
Supplementary Figure S11. Subcellular localization of SlCOP1-1 in tomato fruit cells under light and dark conditions.
Supplementary Table S1. Proteins identified via Y2H screen using SlCOP1-1 as a bait.
Supplementary Table S2. Primers used in this study.
Supplementary Data Set 1. TMT-based quantitative proteomic analysis of fruits of the wild-type, Slcop1-1 mutant, and SlCOP1-1 OE lines.
Supplementary Data Set 2. GO enrichment analysis of the differentially expressed proteins in the Slcop1-1 mutant and SlCOP1-1 OE lines compared to the wild type.
Funding
This work was supported by the National Natural Science Foundation of China (31925035, 32172638, 32072636).
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