- Methodology article
- Open Access
Elucidating the role of highly homologous Nicotiana benthamiana ubiquitin E2 gene family members in plant immunity through an improved virus-induced gene silencing approach
Plant Methods volume 13, Article number: 59 (2017)
Virus-induced gene silencing (VIGS) has been used in many plant species as an attractive post transcriptional gene silencing (PTGS) method for studying gene function either individually or at large-scale in a high-throughput manner. However, the specificity and efficiency for knocking down members of a highly homologous gene family have remained to date a significant challenge in VIGS due to silencing of off-targets.
Here we present an improved method for the selection and evaluation of gene fragments used for VIGS to specifically and efficiently knock down members of a highly homologous gene family. Using this method, we knocked down twelve and four members, respectively of group III of the gene family encoding ubiquitin-conjugating enzymes (E2) in Nicotiana benthamiana. Assays using these VIGS-treated plants revealed that the group III E2s are essential for plant development, plant immunity-associated reactive oxygen species (ROS) production, expression of the gene NbRbohB that is required for ROS production, and suppression of immunity-associated programmed cell death (PCD) by AvrPtoB, an effector protein of the bacterial pathogen Pseudomons syringae. Moreover, functional redundancy for plant development and ROS production was found to exist among members of group III E2s.
We have found that employment of a gene fragment as short as approximately 70 base pairs (bp) that contains at least three mismatched nucleotides to other genes within any 21-bp sequences prevents silencing of off-target(s) in VIGS. This improved approach in the selection and evaluation of gene fragments allows for specific and efficient knocking down of highly homologous members of a gene family. Using this approach, we implicated N. benthamiana group III E2s in plant development, immunity-associated ROS production, and suppression of multiple immunity-associated PCD by AvrPtoB. We also unraveled functional redundancy among group III members in their requirement for plant development and plant immunity-associated ROS production.
Functional genomics makes use of the wealth of data produced by genome sequencing and transcriptomic projects and entails the development and application of global scale approaches to study gene function. In the past decade, we have witnessed remarkable advancements in technologies that have revolutionized many high-throughput research methods in unraveling gene function at genome scale. Various tools for knocking out or knocking down genes of interest have been developed. Examples of such tools include the clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated9 (Cas9) system [1,2,3], silencing of genes by RNA interference (RNAi) , and mutation of genes by transposable element , Agrobacterium-mediated T-DNA insertion [6, 7], or chemicals, such as ethyl methanesulfonate  and targeting induced local lesions in genomes (TILLING) . Among these tools, silencing of genes via RNAi has largely been used in reverse genetics and involves direct alteration in the expression of a gene and subsequent identification of gene function based on the phenotypes that result from such change in gene expression.
RNAi functions via a sequence-specific RNA degradation mechanism that is triggered by double stranded RNA (dsRNA) and has been shown to be the primary mechanism underlying anti-viral infection by plants [10,11,12,13]. By using recombinant virus carrying a partial sequence from a host gene, the RNAi-mediated antiviral mechanism can be utilized to silence the corresponding host gene, a technique that has been defined as virus-induced gene silencing (VIGS) [14, 15]. During VIGS, as the recombinant virus spreads out systemically in the plant, dsRNAs corresponding to the host gene are produced and then cleaved into small interference RNAs (siRNAs) in the length of 21–24 nucleotides (nt). These siRNAs are ultimately incorporated into the RNA-induced silencing complex (RISC) to degrade the target mRNAs . Since the first report in 1995 , VIGS has been widely used as an attractive post transcriptional gene silencing (PTGS) method for studying the function of genes individually or in a high-throughput manner. Different viruses have been engineered for VIGS in various plant species. To date, VIGS systems have been established for tomato , tobacco , Arabidopsis , barley , Medicago truncatula , soybean , cotton , grasses , strawberry , and pepper . Besides being used in the whole plant, VIGS has also been employed to study gene function in specific plant organs, such as fruit [25, 27] and root . It is now well accepted that VIGS is a simple, quick and cost-effective method for high throughput study of gene function.
The Tobacco mosaic virus (TMV)- and Tobacco rattle virus (TRV)-based vectors for VIGS were the first to be engineered for targeted silencing of a plant gene [15, 29,30,31]. The TRV infects many plant species and TRV-based VIGS can probably be applied to the widest known host range among any engineered plant viruses for VIGS . TRV has a positive sense single-stranded RNA genome consisting of two components, referred to as RNA1 and RNA2. RNA1 encodes genes for viral replication and movement, whereas RNA2 encodes the coat protein and some nonessential structural proteins that can be deleted to allow the insertion of foreign sequence fragment . Gene fragments in the length of 200–1500 bp have been used successfully to induce TRV-based VIGS [30, 33]. Like other plant viruses engineered for VIGS, a major concern of TRV-based VIGS is the silencing of off-targets due to possible sequence homology between the gene-of-interest and the off-target genes. Efforts to minimize such non-specific gene silencing have been attempted. For example, the online software algorithm called SGN VIGS tool has been developed to facilitate the identification of unique gene fragment(s) for building VIGS constructs . However, the tool allows selection of gene fragments that are equal to or are more than 100 bp only, which limits the chances of identifying suitable sequence regions to be used for specific silencing in VIGS.
Despite the concern on silencing of off-targets, the VIGS tool has been widely used in the study of plant immunity in the past decade. Many key components of the plant immune system have been identified with the help of the VIGS tool. It is known now, during co-evolution with microbes, plants have developed a multi-layered defense strategy to protect against pathogens. At the front line of the strategy, plants initiate pattern-triggered immunity (PTI) upon detection of microbe-associated and damage-associated molecular patterns (MAMPs and DAMPs) through the cell surface-anchored pattern-recognition receptors (PRRs). PTI is intimately associated with rapid calcium influx, production of reactive oxygen species (ROS), induction of mitogen activated protein kinase (MAPK) cascades, defense gene expression, and callose deposition and is effective to ward off a broad range of microbes . However, pathogens have evolved to overcome PTI by deploying during the infection process various effector proteins into the host cells [36, 37]. In response, plants have evolved intracellular nucleotide-binding leucine-rich repeat (NB-LRR) receptors (also known as resistance proteins) that either directly or indirectly monitor the activity of effector proteins to initiate effector-triggered immunity (ETI), the second line of plant defense strategy. Many PTI-associated plant responses, such as accumulation of calcium and ROS and induction of MAPK cascades are also accompanied with ETI. Importantly, ETI is also often associated with a rapid induction of programmed cell death (PCD) called hypersensitive response (HR) at the site of infection, which serves to limit the spread of the pathogen, particularly biotrophic pathogens.
Using tomato genes encoding the ubiquitin-conjugating enzymes (E2) as the query, we recently identified 40 Nicotiana benthamiana ubiquitin E2 genes by BLAST [38, 39]. The forty N. benthamiana E2 genes were classified into thirteen groups (Additional file 1: Fig. S1) and the twelve members of group III are highly homologous. In the present work, we demonstrate an improved VIGS method to study the function and functional redundancy of the N. benthamiana group III E2 genes. We constructed a single chimeric DNA fragment into the pTRV vector by overlap extension PCR and specifically and efficiently knocked down twelve members of group III E2 genes. Assays on the N. benthamiana plants where the group III E2 genes were silenced by VIGS revealed the group III E2 genes are essential for plant development, reactive oxygen species (ROS) production, induction of the NbRbohB gene, and suppression of immunity-associated programmed cell death (PCD) by AvrPtoB, a type III effector protein of the bacterial pathogen Pseudomonas syringae pv. tomato (Pst) . We revealed that a gene fragment having even two nt mismatched within any 21-bp DNA stretch with the counterpart of another member of the gene family can result in silencing of off-target. This finding is contradicted to the widely-accepted notion that using for VIGS a gene fragment without more than 21 bp of consecutive sequence being identical to other genes in the genome would generate specific gene silencing. We also found that a gene fragment as short as approximately 70 bp in length is sufficient to be used for specific and efficient VIGS. We combined the SGN VIGS tool with manual optimization for the selection of gene fragments for VIGS to specifically knock down a subset of group III E2 members in N. benthamiana plants. Characterization of these plants suggested functional redundancy among members of group III E2s in their requirement for immunity-associated ROS production.
Utilizing a single chimeric DNA fragment for VIGS to specifically and efficiently knock down twelve members of the highly homologous E2 gene family
We recently identified 40 tomato genes encoding the ubiquitin-conjugating enzymes (E2) and characterized a subset of these genes in plant immunity . Using the tomato E2 genes as the query, we identified forty N. benthamiana ubiquitin E2 genes by BLAST  (Fig. 1A). Similar to the tomato E2s, the N. benthamiana E2 genes can be classified into 13 groups based on phylogenetic analysis of the proteins they encode (Additional file 1: Fig. S1) and group III contains twelve members (Fig. 1A). High sequence identity exists among members of N. benthamiana group III E2 genes (Fig. 1B, C). The N. benthamiana group III E2 genes can be further divided into six subgroups based on phylogenetic analysis (Fig. 1B, subgroup a–f), of which NbUBC10, 28 and 31; NbUBC8, 9 and 38; NbUBC11 and 29; and NbUBC39 and 40, respectively each forms a subgroup. The NbUBC12 and NbUBC30 show relatively lower identity to other members thus each alone constitutes a subgroup (Fig. 1B). To study the function of group III E2s, VIGS using the TRV-based vector [41, 42] was employed for knocking down the expression of all members in the group in N. benthamiana. The insert of the TRV-based construct for silencing the group III E2 genes in N. benthamiana (hereafter referred to as TRV-III) was prepared by overlap extension PCR to link six individual fragments that are derived from NbUBC9, NbUBC10, NbUBC11, NbUBC12, NbUBC30 and NbUBC39, respectively (Fig. 2a). Due to high percentage of identity in their DNA sequences, a DNA fragment derived from NbUBC9 can theoretically be used for silencing the NbUBC8, NbUBC9 and NbUBC38 genes that are from the same clade of the phylogenetic tree (Fig. 1B) and was thus designed for building the TRV-III construct. Similarly, a DNA fragment from NbUBC10 was designed for silencing genes NbUBC10, NbUBC28 and NbUBC31, a fragment from NbUBC11 was designed for silencing of NbUBC11 and NbUBC29, and a fragment from NbUBC39 for silencing of NbUBC39 and NbUBC40 (Fig. 2b).
VIGS on N. benthamiana plants was performed as previously described  using the Agrobacterium tumefaciens strain GV2260 containing the plasmid of empty TRV vector and TRV-III, respectively. The N. benthamiana plants infected with TRV-III displayed slower growth and thus were smaller than the control plants, which indicates the group III E2 enzymes are required for plant development. They also showed slightly crinkled leaves (Fig. 3a). To determine the effectiveness and specificity of knocking down group III E2 genes by VIGS in N. benthamiana, the expression of 12 group III E2 genes was determined by semi-quantitative PCR. The results showed that N. benthamiana plants infected with TRV-III displayed greatly reduced expression of group III E2 genes compared with TRV empty vector-infected plants (Fig. 3b). By contrast, the expression level of genes encoding the highly homologous, non-group III E2 enzymes UBC13 and 27 (Fig. 1A) was not altered in TRV-III infected plants as compared with the TRV-infected plants, which suggests the silencing of group III E2 genes by TRV-III is specific.
Group III E2s were essential for ROS production and the induction of NbRbohB
Pathogen-associated molecular pattern (PAMP) can induce rapid and transient ROS production in plants in an oxidative burst shortly after treatment, which is an early plant immune response to pathogen infection . To test the effect of silencing group III E2 genes on plant immunity, we examined the ROS production upon treatment of leaves of TRV-III infected and TRV-infected N. benthamiana plants, respectively by flg22, a 22-amino-acid immunogenic fragment of flagellin that is the major PAMP of many pathogenic bacteria. Compared with TRV-infected N. benthamiana plants, the ROS production triggered by flg22 treatment was significantly reduced on TRV-III-infected N. benthamiana plants (Fig. 3c), suggesting group III E2 enzymes play a positive role in the induction of PTI-associated ROS production. In Arabidopsis, the respiratory burst oxidase homologues (Rboh) genes encoding the NADPH oxidase, AtRbohD and AtRbohF were found to be required for the generation of plant immunity-associated ROS . The N. benthamiana gene NbRbohB, an ortholog of AtRbohD, has been shown to be responsible for the ROS production induced by flg22 . Silencing of NbRbohB abrogates the flg22- and chitin-induced ROS burst in N. benthamiana . To further confirm the role of group III E2 genes in flg22-triggered ROS production, we challenged the leaves of TRV-III- and TRV-infected N. benthamiana plants, respectively with flg22 and monitored the expression of the NbRbohB gene at 0 (before inoculation), 0.5, 1 and 3 h post treatment. In the TRV control plants, the expression of NbRbohB was significantly induced 0.5 and 1 h after flg22 treatment (HAT) (Fig. 3d). Compared to control, the induction of NbRbohB at 0.5 HAT was significantly reduced on plants in which the group III E2 genes were knocked down.
Knocking down of group III E2 genes diminished the inhibition of immunity-associated PCD by AvrPtoB in N. benthamiana
AvrPtoB has been shown to suppress PCD mediated by immunity-associated cell death elicitors AvrPto + Pto, BAX and Avr9 + Cf9 . Our recent study of the group III E2 enzymes indicated that they are required for the suppression of Fen-mediated PCD by AvrPtoB and AvrPtoB-directed ubiquitination of Fen . However, whether group III E2 genes are also essential for the suppression of other immunity-associated PCD by AvrPtoB is unknown. To address this question, the induction of PCD was examined by co-expression of AvrPtoB and the PCD elicitors AvrPto + Pto, BAX, and Avr9 + Cf9 on TRV-III- and TRV- infected N. benthamiana plants, respectively. Co-expression of empty vector and the PCD elicitors was employed as control. The results indicated AvrPtoB suppresses PCD trigged by these elicitors on TRV control plants, which is consistent with the previous finding . However, knocking down of group III E2 genes diminished AvrPtoB-mediated suppression of PCD elicited by AvrPto + Pto, BAX, and Avr9 + Cf9 (Fig. 4a). The visual observation of reduction in AvrPtoB-mediated suppression of PCD by these elicitors on TRV-III-treated plants were substantiated by electrolyte leakage assays, as shown in Fig. 4b, c and d.
Four members of the N. benthamiana group III E2 were specifically and efficiently knocked down by improved selection of gene fragments for VIGS
The group III members of N. benthamiana E2 gene family are highly homologous (Fig. 1C), which promoted us to find out whether functional redundancy exists among the twelve genes in their requirement for plant immunity-associated ROS production. Analysis of the transcript level in tomato plants treated with a Pst DC3000 strain delivering AvrPtoB indicated that among the twelve tomato group III E2 genes, only UBC10, 12, 28 and 31 were induced after the Pst treatment . We thus attempted to examine the role of the corresponding N. benthamiana genes UBC12, 10, 28 and 31 in plant immunity by only silencing these four genes using VIGS. The sequence specificity of the RNAi process is thought to be determined by the 21- to 24-nt siRNAs generated by the RNA-induced silencing complex (RISC) . To avoid silencing of off-targets because of extremely high homology among members of the group III E2 genes, we first utilized the SGN VIGS Tool software to identify regions of the NbUBC12, 10, 28 and 31 genes, respectively that have highest mismatches to the DNA sequence of other group III E2 members. The regions identified by the SGN VIGS Tool software were further scrutinized manually to ensure at least one nt is mismatched to the corresponding sequence of other members within any consecutive 21-bp DNA stretch. The unqualified sequences (i.e. do not contains at least one mismatched nucleotide to other genes within any 21-bp sequence) of the fragments identified by the SGN VIGS Tool were excluded. The final fragment for building the TRV-NbUBC12/10/28/31 construct was cloned by overlap extension PCR to link three individual fragments derived from NbUBC12, NbUBC10 and NbUBC28, respectively (Fig. 5). Alignments of the fragments derived from NbUBC12, NbUBC10 and NbUBC28, respectively to the corresponding region of other members of the group III E2s suggested that the DNA fragment from NbUBC12 would theoretically target NbUBC12 only in VIGS while the fragments from NbUBC10 and NbUBC28 would target NbUBC10, 28 and 31 for silencing. VIGS using this construct was then performed on N. benthamiana plants via Agrobacterium-mediated infiltration as described . Plants infected with the empty TRV vector were used as control. The expression of group III E2 genes examined by semi-quantitative PCR, however, indicated all members of the group III E2 genes were knocked down, which suggests silencing of off-targets and thus low specificity occurred during VIGS using the TRV-NbUBC12/10/28/31 construct (Fig. 6a). In consistence with this observation, the N. benthamiana plants infected with TRV-NbUBC12/10/28/31 displayed similar phenotype in growth and development to the TRV-III infected plants (Fig. 6b).
To figure out the cause of low specificity, we reviewed the sequence alignments as shown in Fig. 5 and counted the numbers of 21-bp DNA stretches containing one or two nt mismatches to the corresponding region of other eight group III E2 genes. As summarized in Table 1, such mismatches exist between other eight members, NbUBC8, 9, 11, 29, 30, 38, 39 and 40 in group III and at least one of the three fragments that were derived from NbUBC12, NbUBC10 and NbUBC28, respectively for VIGS. For NbUBC11, 29, 39 and 40, only 21-bp DNA stretches with two nt mismatches were identified. Yet these genes were silenced by the TRV-NbUBC12/10/28/31 construct, which suggests that even mismatches at two nt within a consecutive 21-bp sequence can still result in silencing of off-targets in VIGS. Bearing this in mind, we improved our method for building the construct for VIGS. Similarly, we first utilized the SGN VIGS Tool for the preliminary selection of VIGS fragments. The SGN VIGS Tool can only identify DNA fragments that are equal to or are more than 100 bp and it failed to pinpoint a region of the gene-of-interest (e.g. NbUBC12) that has more than 2 nt mismatched within any consecutive 21-bp sequence to other members of the group III E2 genes. Therefore, we next manually excluded some sequences from the preliminary fragments identified by the SGN VIGS Tool and minimized the VIGS fragment to ~70 bp to ensure mismatches of at least 3 nt exist within any consecutive 21-bp of the shortened fragment to the sequences of other eight group III E2 genes. In attempting to uncover parameters that govern the functional miRNA:mRNA interactions, a previous study has generated a set of rules for the evaluation of putative targets of a miRNA . In general, paring in the 5′ part of the miRNA to the target mRNA is most important. Only one mismatch would be allowed in the regions corresponding to the nucleotides 2–12, which includes the presumptive cleavage site between positions 10 and 11. For pairing in the 3′ end of the miRNA, a mismatch loop could be tolerated up to maximal two nucleotides, and a perfect match in this part would compensate the presence of up to two mismatches in the 5′ end. Considering that TRV-NbUBC12/10/28/31-generated siRNAs with two nt mismatched to the off-target mRNAs might have downregulated the off-target gene using a mechanism similar to that of miRNA, we also avoided selecting gene regions that may result in a functional miRNA that targets other group III E2 genes. The alignments of new individual DNA fragments that we used for building the new TRV-based construct (TRV-NbUBC12/10/28/31*) with the corresponding region of other eight members of the group III E2s are shown in Fig. 7. The sequences underlined in blue were the DNA stretches within which at least 3 nt mismatch exists in any consecutive 21-bp DNA sequence (Fig. 7). The VIGS constructs TRV-NbUBC12, TRV-NbUBC10/28/31 and TRV-NbUBC12/10/28/31* prepared by this improved method were used to silence NbUBC12 alone, the three E2 genes NbUBC10, 28 and 31, and the four E2 genes NbUBC12, 10, 28 and 31, respectively. The N. benthamiana plants infected with TRV-NbUBC12, TRV-NbUBC10/28/31 and TRV-NbUBC12/10/28/31* displayed similar phenotype to TRV-infected control plants (Fig. 8a). To determine the effectiveness and specificity of knocking down the four genes by VIGS in N. benthamiana, semi-quantitative PCR was performed to detect the level of expression for all twelve group III genes and NbUBC27. The results indicated UBC12 alone; the three genes UBC10, 28 and 31; and the four genes UBC10, 12, 28, and 31, respectively were specifically silenced in N. benthamiana plants (Fig. 8b).
Knocking down a subset of group III E2 members did not result in significant changes in plant ROS production
The ROS production after treatment with flg22 on leaves of N. benthamiana plants infected with TRV-NbUBC12, TRV-NbUBC10/28/31 and TRV-NbUBC12/10/28/31* was monitored. Compared with TRV-infected N. benthamiana plants, the ROS production triggered by flg22 treatment was similar on TRV-NbUBC12, TRV-NbUBC10/28/31 and TRV-NbUBC12/10/28/31* N. benthamiana plants (Fig. 8c), suggesting functional redundancy for ROS production existed among members of group III.
VIGS has been widely used in the past decade as a fast and efficient functional genomics tool for knocking down gene expression in many plant species [51, 52]. Advantages of VIGS over other functional genomics tools include the easiness and quickness of the method, no need of stable plant transformation, knowledge of partial sequence of a gene is sufficient to be used with the method, and it can be used in both forward and reverse genetics . Because VIGS is a sequence homology-dependent process, another significant advantage of VIGS is that it can be used to knock down simultaneously the expression of multiple members of a gene family by targeting highly conserved sequence shared by the members. Moreover, because knocking down but not knocking out of a gene usually occurs during VIGS, it can thus be used to study the function of genes of which knocking out would cause lethality of the plant. In addition to silencing gene systematically on the whole plant, VIGS has also been applied to knock down gene expression in specific plant organs [25, 27, 28]. Despite these benefits and its wide application to the study of gene function, however, there are inherent potential limitations of VIGS, such as silencing of off-targets . The unintended silencing of off-target genes can lead to false conclusions in VIGS experiments. It is thus important to choose a gene fragment that would target the gene-of-interest specifically.
Theoretically, silencing of off-target genes in VIGS can be avoided by selecting a gene fragment that does not produce 21- to 24-nt siRNAs being identical in sequence to other gene(s) in the genome . Nevertheless, a previous study on N. benthamiana and other Solanaceae species suggested that 21-nt DNA stretch of 100% identity between the gene-of-interest and off-target gene sequences is not absolutely required for silencing of off-target genes . The study indicated even a continuous 11-nt identical DNA stretch between the gene fragment used for VIGS and the homologous gene in another species can lead to ~15% reduction in the expression of the homologues. In the first tries of the present study, we attempted to knock down by VIGS four members of group III E2s, NbUBC12, 10, 28 and 31, by ensuring at least one nt mismatch to other group III members within any 21-bp DNA stretch in the gene fragments used for building the TRV-NbUBC12/10/28/31 construct. However, our result suggested that even 2-nt mismatches within a 21-bp DNA stretch can result in silencing of off-targets. In plants, miRNAs are another kind of small non-coding RNA molecule in the length of 21–24 nt that functions in gene silencing . Most plant miRNAs interact with their mRNA targets with nearly perfect complementarity except bulges or mismatches present in the central region of the miRNA-mRNA duplex . A microarray analysis of artificial miRNAs revealed a set of rules for evaluation of a putative miRNA target, in which 2 or 3 nt mismatch are allowed to be present at some sites . Silencing of off-target genes observed in the present and the previous studies  thus might be due to that siRNAs with 2 nt mismatched to the off-target mRNAs downregulated the off-target genes using a mechanism similar to that of miRNA. Indeed, mismatched siRNAs have been proved to be able to downregulate mRNAs, though mismatched siRNAs targeting the 3′ UTRs yield a greater reduction in mRNA levels than those targeting the coding region . Based on the result of our first tries and findings from other studies, we improved our method to knock down the four members of group III E2s. Through combining the use of SGN VIGS tool, manual selection of the gene fragments for VIGS, and following the set of rules for evaluation of a functional miRNA , we used gene fragments with at least 3 nt mismatch within any 21-bp DNA stretch to other members of the group to specifically and efficiently knock down the expression of a subset of members of the group III E2 gene family. Our results using the new VIGS construct suggested that using such gene fragments for VIGS prevents the silencing of off-targets. Generally, the optimum length of gene fragment for efficient VIGS with minimal off-target effects was thought to be about 200–400 nt . However, our result indicated that VIGS using TRV vectors carrying gene fragments in the length of about 70 bp resulted in efficient gene silencing. Therefore, shorter fragments under 100 bp can be used for efficient gene silencing in VIGS.
VIGS can be used to silence multiple members of a gene family by targeting highly conserved sequence regions of the members . In line with this, we used VIGS as an effective tool for functional study of members of a gene family in this study. By constructing a single chimeric gene fragment for VIGS using overlap extension PCR to link multiple gene fragments together, we successfully targeted twelve members and four members of group III E2 genes, respectively. Our results indicated that group III E2s are required for plant growth and development, PTI-associated reactive oxygen species (ROS) production, and induction of the NbRbohB gene that is essential for ROS production. We also found that these E2 genes are essential to the suppression of multiple immunity-associated programmed cell death (PCD) by AvrPtoB, which suggests an important role for group III E2s in AvrPtoB-mediated suppression of plant immunity during the interaction of tomato with Pst. The functional redundancy among group III E2 members as shown on the N. benthamiana plants in which the expression of NbUBC12, 10, 28 and 31 of group III E2 genes was downregulated by VIGS highlights the necessity of using VIGS to silence the whole group III E2 genes in order to elucidate the role of these genes in plant development and immunity. Such results, in turn, indicate the feasibility of the improved VIGS method in the study of highly homologous members in a gene family.
In this study, we use an improved virus-induced gene silencing approach to efficiently silence multiple highly homologous members of a gene family meanwhile prevent the silencing of off-targets, a highly concerned potential problem inherent with VIGS. The improved approach involves enhanced selection and evaluation of gene fragments used for VIGS. Additionally, we found that a gene fragment as short as about 70 bp can be used for VIGS to silence gene-of-interest efficiently. Using this method, we specifically and efficiently knocked down twelve and four members of a highly homologous gene family, respectively. Assays using N. benthamiana plants where the target genes were knocked down by this improved VIGS approach revealed that group III E2s are essential for plant development, reactive oxygen species (ROS) accumulation, induction of the gene NbRbohB, and suppression of multiple immunity-associated PCD by AvrPtoB. Additionally, through specific knocking-down of four members of group III E2 genes we identified functional redundancy among group III members in their requirement for plant development and plant immunity-associated ROS production.
Growth of bacteria and plant materials
Agrobacterium tumefaciens GV2260 strains were grown at 28 °C on Luria–Bertani and King’s B medium with appropriate antibiotics. N. benthamiana seeds were germinated and grown on autoclaved soil in a growth chamber with 16 h light (~300 μmol/m2/s at the leaf surface of the plants), 24/23 °C day/night temperature, and 50% relative humidity.
DNA manipulations and plasmid constructions
All DNA manipulations were performed using standard techniques . The chimeric DNA fragment of the TRV-III construct used for silencing the group III E2 genes in N. benthamiana was cloned by overlap extension PCR by which six individual gene fragments from the genes NbUBC9, 11, 12, 10, 30 and 39, respectively were linked together. Scrutiny of sequences was conducted during the selection of DNA fragments for building the TRV-III construct to avoid silencing of off-target E2 genes from other groups. TRV-III construct for VIGS was prepared by Gateway cloning using the pENTR/SD/D-TOPO entry vector and the pTRV2 vector  according to protocols provided by the manufacturer (Life Technologies). For testing functional redundancy of group III members, fragments used for building the VIGS constructs to silence the E2 genes NbUBC12, 10, 28 and 31 were first cloned into pENTR/SD/D-TOPO entry vector, and then cloned into pTRV2 by LR reaction using protocols provided by the manufacturer (Life Technologies). Primers used for recombinant DNA cloning are listed in the Additional file 2: Table 1.
Sequence alignments and phylogenetic analysis
For sequence alignments of group III E2 genes and DNA fragments to be used for VIGS, sequences in the FASTA format were entered into MultAlin , a multiple sequence alignment program and aligned using the default parameters. For phylogenetic analysis, sequences of interest in the FASTA format were loaded into the ClustalX 2.1 program and aligned using the ClustalX algorithm . The phylogenetic analysis was then performed by the MEGA6 program using the aligned sequences . To build an unrooted phylogenetic tree using MEGA6, the evolutionary history was inferred using the neighbor-joining method with 1000 bootstrap trials. The evolutionary distances were computed using the p-distance method in which the evolutionary distance unit represents the number of amino acid (or nucleotide) substitutions per site . Branches corresponding to partitions reproduced <50% bootstrap replicates were collapsed in the tree. The sequence IDs of the N. benthamiana ubiquitin E2 genes in the sol genomics network (http://solgenomics.net/) database are as shown previously .
Effectiveness and specificity of VIGS of group III E2 genes
To determine the effectiveness of knocking down group III E2 genes by VIGS in N. benthamiana, the expression of these genes was determined by semi-quantitative PCR at low PCR cycles. In brief, six leaf discs comprising a total area of ~3.8-cm2 were collected from three different leaves of three VIGS-treated plants (one leaf of each plant). Total RNA was then isolated using RNeasy Plant Mini Kit (QIAGEN) and treated with DNase (QIAGEN) by following the protocol provided by the manufacturer. The first-strand cDNA was synthesized using the Superscript III reverse transcriptase (Life Technologies) by following the instructions provided by the manufacturer. Examination of the transcript level of the N. benthamiana E2 genes NbUBC8, NbUBC9, NbUBC10, NbUBC11, NbUBC12, NbUBC28, NbUBC29, NbUBC30, NbUBC31, NbUBC38, NbUBC39, NbUBC40 and NbEF1a by PCR was conducted using the first-strand cDNA as template and the primers listed in the Additional file 2: Table 1. The PCR products were resolved by 1.2% agarose gel. The separated PCR products were photographed using the Gel Doc SR system (Bio-Rad). NbEF1a was used as an internal reference to determine the amount of the first-strand cDNA template to be used. The percentage of reduction in expression of corresponding gene in group III E2 genes-silenced plants compared to non-silenced TRV control plants was calculated based on the pixel density of bands using the Gel Analysis option of the ImageJ software . The primers for semi-quantitative PCR were shown in Additional file 2: Table 1.
Measurement of ROS production
The ROS production assay was used to quantify the induction of ROS as described previously  with minor modifications. In brief, leaf discs of 4 mm in diameter were punched out from N. benthamiana plants with a cork borer and floated adaxial side up in 200 µL deionized pure H2O at room temperature overnight in wells of a 96-well Nunc white plate (one leaf disc per well) (Thermo Scientific). On the second day, the deionized pure H2O was replaced with 100 µL of ROS testing buffer containing 1 µM of flg22 peptide, 34 mg/mL of luminol (Sigma), and 20 μg/mL of horseradish peroxidase (Sigma). Luminescence was measured using a Bioteck Synergy II plate reader. Twelve leaf discs from three group III E2 genes-silenced and three non-silenced control N. benthamiana plants, respectively, were tested in parallel.
Real time PCR
To determine the expression level of the NbRbohB gene, leaves of N. benthamiana plants were infiltrated with 2.0 µM flg22 using 1 mL needleless syringe. Leaf samples were collected at 0, 0.5, 1 and 6 h post infiltration. Total RNA was isolated using the RNeasy Plant Mini Kit with DNase treatment (QIAGEN) by following the protocol provided by the manufacturer. The first-strand cDNA was synthesized using the Superscript III reverse transcriptase and oligo dT primer (Life Technologies) based on the instructions from the manufacturer. qRT-PCR was performed using gene specific primers and SYBR Green (Life Technologies) on the LightCycler® 480 Instrument II (Roche), with the NbEF1α gene being used as an internal reference. The relative expression level of NbRbohB gene was calculated using the 2−ΔΔCT method as described . The primers used for qRT-PCR are shown in the Additional file 2: Table 1.
Transient expression of recombinant proteins in N. benthamiana plants
To study the suppression of programmed cell death (PCD) by AvrPtoB on the group III E2 genes-silenced (TRV-III) and non-silenced TRV control N. benthamiana plants, AvrPtoB was transiently co-expressed with the PCD elicitors AvrPto/Pto, BAX, and Avr9/Cf9, respectively using Agrobacterium-mediated infiltration as described . Transient co-expression of the PCD elicitor and the empty pBTEX vector (EV) was used as control. The final OD600 of Agrobacterium strain GV2260 harboring AvrPtoB and the PCD elicitor used for transient co-expression are as the following: AvrPtoB (OD600 = 0.4) and AvrPto/Pto (OD600 = 0.4 for each); AvrPtoB (OD600 = 0.4) and Bax (OD600 = 0.4); and AvrPtoB (OD600 = 0.1) and Avr9/Cf9 (OD600 = 0.4 for each); Photographs were taken on the fourth day after infiltration.
Electrolyte leakage assays
Cell death was assayed by measuring the electrolyte leakage from leaf discs as described previously [66, 67] with modifications. In brief, four leaf discs (6 mm in diameter) were collected from infiltrated leaf areas on the second day post infiltration (DPI) of corresponding PCD elicitor and were washed for 3 h in a 50-mL conical centrifuge tube containing 15 mL deionized pure H2O at room temperature (RT) with shaking at 50 rpm. The washing water in the tube was then removed and replaced with 15 mL fresh deionized pure H2O and the tube continued to be subjected to shaking at 50 rpm at RT. The conductivity of the bathing solution was measured using an OAKTON CON 6 conductivity meter on the third and the fourth DPI. After the measurement, the leaf discs were returned to the tube and was boiled for 25 min. After cooling down to RT, the total conductivity was measured. The percentage of conductivity measured on the third and fourth day compared to the total conductivity was calculated. For each treatment, three biological replicates were used for the assay.
Liu D, Hu R, Palla KJ, Tuskan GA, Yang X. Advances and perspectives on the use of CRISPR/Cas9 systems in plant genomics research. Curr Opin Plant Biol. 2016;30:70–7.
Seth K, Harish. Current status of potential applications of repurposed Cas9 for structural and functional genomics of plants. Biochem Biophys Res Commun. 2016;480:499–507.
Teotia S, Singh D, Tang X, Tang G. Essential RNA-based technologies and their applications in plant functional genomics. Trends Biotechnol. 2016;34:106–23.
Tijsterman M, Plasterk RH. Dicers at RISC; the mechanism of RNAi. Cell. 2004;117:1–3.
Long D, Martin M, Sundberg E, Swinburne J, Puangsomlee P, Coupland G. The maize transposable element system Ac/Ds as a mutagen in Arabidopsis: identification of an albino mutation induced by Ds insertion. Proc Natl Acad Sci USA. 1993;90:10370–4.
Azpiroz-Leehan R, Feldmann KA. T-DNA insertion mutagenesis in Arabidopsis: going back and forth. Trends Genet. 1997;13:152–6.
Matzke AJ, Chilton MD. Site-specific insertion of genes into T-DNA of the Agrobacterium tumor-inducing plasmid: an approach to genetic engineering of higher plant cells. J Mol Appl Genet. 1981;1:39–49.
Uchida N, Sakamoto T, Kurata T, Tasaka M. Identification of EMS-induced causal mutations in a non-reference Arabidopsis thaliana accession by whole genome sequencing. Plant Cell Physiol. 2011;52:716–22.
Martin B, Ramiro M, Martinez-Zapater JM, Alonso-Blanco C. A high-density collection of EMS-induced mutations for TILLING in Landsberg erecta genetic background of Arabidopsis. BMC Plant Biol. 2009;9:147.
Ho T, Wang L, Huang L, Li Z, Pallett DW, Dalmay T, Ohshima K, Walsh JA, Wang H. Nucleotide bias of DCL and AGO in plant anti-virus gene silencing. Protein Cell. 2010;1:847–58.
Hamilton AJ, Baulcombe DC. A species of small antisense RNA in posttranscriptional gene silencing in plants. Science. 1999;286:950–2.
Ratcliff FG, MacFarlane SA, Baulcombe DC. Gene silencing without DNA: RNA-mediated cross-protection between viruses. Plant Cell. 1999;11:1207–15.
Lindbo JA, Silva-Rosales L, Proebsting WM, Dougherty WG. Induction of a highly specific antiviral State in transgenic plants: implications for regulation of gene expression and virus resistance. Plant Cell. 1993;5:1749–59.
Dinesh-Kumar SP, Anandalakshmi R, Marathe R, Schiff M, Liu Y. Virus-induced gene silencing. Methods Mol Biol. 2003;236:287–94.
Liu Y, Schiff M, Dinesh-Kumar SP. Virus-induced gene silencing in tomato. Plant J. 2002;31:777–86.
Schuck J, Gursinsky T, Pantaleo V, Burgyan J, Behrens SE. AGO/RISC-mediated antiviral RNA silencing in a plant in vitro system. Nucleic Acids Res. 2013;41:5090–103.
Kumagai MH, Donson J, della-Cioppa G, Harvey D, Hanley K, Grill LK. Cytoplasmic inhibition of carotenoid biosynthesis with virus-derived RNA. Proc Natl Acad Sci U S A. 1995;92:1679–83.
Liu Y, Nakayama N, Schiff M, Litt A, Irish VF, Dinesh-Kumar SP. Virus induced gene silencing of a DEFICIENS ortholog in Nicotiana benthamiana. Plant Mol Biol. 2004;54:701–11.
Burch-Smith TM, Schiff M, Liu Y, Dinesh-Kumar SP. Efficient virus-induced gene silencing in Arabidopsis. Plant Physiol. 2006;142:21–7.
Bruun-Rasmussen M, Madsen CT, Jessing S, Albrechtsen M. Stability of Barley stripe mosaic virus-induced gene silencing in barley. Mol Plant Microbe Interact. 2007;20:1323–31.
Gronlund M, Constantin G, Piednoir E, Kovacev J, Johansen IE, Lund OS. Virus-induced gene silencing in Medicago truncatula and Lathyrus odorata. Virus Res. 2008;135:345–9.
Juvale PS, Hewezi T, Zhang C, Kandoth PK, Mitchum MG, Hill JH, Whitham SA, Baum TJ. Temporal and spatial Bean pod mottle virus-induced gene silencing in soybean. Mol Plant Pathol. 2012;13:1140–8.
Gao X, Wheeler T, Li Z, Kenerley CM, He P, Shan L. Silencing GhNDR1 and GhMKK2 compromises cotton resistance to Verticillium wilt. Plant J. 2011;66:293–305.
Scofield SR, Nelson RS. Resources for virus-induced gene silencing in the grasses. Plant Physiol. 2009;149:152–7.
Jia H, Shen Y. Virus-induced gene silencing in strawberry fruit. Methods Mol Biol. 2013;975:211–8.
Wang JE, Li DW, Gong ZH, Zhang YL. Optimization of virus-induced gene silencing in pepper (Capsicum annuum L.). Genet Mol Res. 2013;12:2492–506.
Fantini E, Giuliano G. Virus-induced gene silencing as a tool to study tomato fruit biochemistry. Methods Mol Biol. 2016;1363:65–78.
Kaloshian I. Virus-induced gene silencing in plant roots. Methods Mol Biol. 2007;354:173–81.
Hayward A, Padmanabhan M, Dinesh-Kumar SP. Virus-induced gene silencing in Nicotiana benthamiana and other plant species. Methods Mol Biol. 2011;678:55–63.
Lacomme C. Strategies for altering plant traits using virus-induced gene silencing technologies. Methods Mol Biol. 2015;1287:25–41.
Baulcombe DC. Fast forward genetics based on virus-induced gene silencing. Curr Opin Plant Biol. 1999;2:109–13.
Robinson DJ, Harrison BD. Tobacco rattle virus. CMI/AAB Descr Plant Viruses. 1989;346:1–4.
Padmanabhan M, Dinesh-Kumar SP. Virus-induced gene silencing as a tool for delivery of dsRNA into plants. Cold Spring Harb Protoc. 2009; pdb prot5139.
Fernandez-Pozo N, Rosli HG, Martin GB, Mueller LA. The SGN VIGS tool: user-friendly software to design virus-induced gene silencing (VIGS) constructs for functional genomics. Mol Plant. 2015;8:486–8.
Macho AP, Zipfel C. Plant PRRs and the activation of innate immune signaling. Mol Cell. 2014;54:263–72.
Ricardo O, Joe W, Sylvain R, Laurence B, Tolga OB, Angela C-G, Maria Eugenia S, Remco S, Sebastian S, Liliana MC, van Mireille D, Edgar H, Marco T, Mark JB, Sophien K. Recent developments in effector biology of filamentous plant pathogens. Cell Microbiol. 2010;12:705–15.
Martin G. Suppression and activation of the plant immune system by Pseudomonas syringae effectors AvrPto and AvrPtoB. In: Martin F, Kamoun S, editors. Effectors in plant-microbe interactions. Oxford: Wiley; 2012. p. 121–54.
Camacho C, Coulouris G, Avagyan V, Ma N, Papadopoulos J, Bealer K, Madden TL. BLAST+: architecture and applications. BMC Bioinf. 2009;10:421.
Zhou B, Mural RV, Chen X, Oates ME, Connor RA, Martin GB, Gough J, Zeng L. A subset of ubiquitin-conjugating enzymes is essential for plant immunity. Plant Physiol. 2017;173:1371–90.
Kim YJ, Lin NC, Martin GB. Two distinct Pseudomonas effector proteins interact with the Pto kinase and activate plant immunity. Cell. 2002;109:589–98.
del Pozo O, Pedley KF, Martin GB. MAPKKKα is a positive regulator of cell death associated with both plant immunity and disease. EMBO J. 2004;23:3072–82.
Caplan J, Dinesh-Kumar SP. Using viral vectors to silence endogenous genes. In: Current protocols in microbiology. John Wiley & Sons, Inc., New York; 2006. p. 16I.16.11–16I.16.13.
Mural RV, Liu Y, Rosebrock TR, Brady JJ, Hamera S, Connor RA, Martin GB, Zeng L. The tomato Fni3 lysine-63-specific ubiquitin-conjugating enzyme and suv ubiquitin E2 variant positively regulate plant immunity. Plant Cell. 2013;25:3615–31.
Newman MA, Sundelin T, Nielsen JT, Erbs G. MAMP (microbe-associated molecular pattern) triggered immunity in plants. Front Plant Sci. 2013;4:139.
Torres MA, Dangl JL, Jones JD. Arabidopsis gp91phox homologues AtrbohD and AtrbohF are required for accumulation of reactive oxygen intermediates in the plant defense response. Proc Natl Acad Sci USA. 2002;99:517–22.
Nuhse TS, Bottrill AR, Jones AM, Peck SC. Quantitative phosphoproteomic analysis of plasma membrane proteins reveals regulatory mechanisms of plant innate immune responses. Plant J. 2007;51:931–40.
Segonzac C, Feike D, Gimenez-Ibanez S, Hann DR, Zipfel C, Rathjen JP. Hierarchy and roles of pathogen-associated molecular pattern-induced responses in Nicotiana benthamiana. Plant Physiol. 2011;156:687–99.
Abramovitch RB, Kim Y-J, Chen S, Dickman MB, Martin GB. Pseudomonas type III effector AvrPtoB induces plant disease susceptibility by inhibition of host programmed cell death. EMBO J. 2003;22:60–9.
Baumberger N, Baulcombe DC. Arabidopsis ARGONAUTE1 is an RNA Slicer that selectively recruits microRNAs and short interfering RNAs. Proc Natl Acad Sci USA. 2005;102:11928–33.
Schwab R, Ossowski S, Riester M, Warthmann N, Weigel D. Highly specific gene silencing by artificial microRNAs in Arabidopsis. Plant Cell. 2006;18:1121–33.
Pflieger S, Richard MMS, Blanchet S, Meziadi C, Geffroy V. VIGS technology: an attractive tool for functional genomics studies in legumes. Funct Plant Biol. 2013;40:1234–48.
Senthil-Kumar M, Mysore KS. New dimensions for VIGS in plant functional genomics. Trends Plant Sci. 2011;16:656–65.
Senthil-Kumar M, Mysore KS. Tobacco rattle virus-based virus-induced gene silencing in Nicotiana benthamiana. Nat Protoc. 2014;9:1549–62.
Senthil-Kumar M, Hema R, Anand A, Kang L, Udayakumar M, Mysore KS. A systematic study to determine the extent of gene silencing in Nicotiana benthamiana and other Solanaceae species when heterologous gene sequences are used for virus-induced gene silencing. New Phytol. 2007;176:782–91.
Chen X. MicroRNA biogenesis and function in plants. FEBS Lett. 2005;579:5923–31.
Filipowicz W, Bhattacharyya SN, Sonenberg N. Mechanisms of post-transcriptional regulation by microRNAs: are the answers in sight? Nat Rev Genet. 2008;9:102–14.
Martin SE, Caplen NJ. Mismatched siRNAs downregulate mRNAs as a function of target site location. FEBS Lett. 2006;580:3694–8.
Sambrook J, Russell DW. Molecular cloning: a laboratory manual. Cold Spring Harbor: Cold Spring Harbor Laboratory; 2001.
Corpet F. Multiple sequence alignment with hierarchical clustering. Nucleic Acids Res. 1988;16:10881–90.
Larkin MA, Blackshields G, Brown NP, Chenna R, McGettigan PA, McWilliam H, Valentin F, Wallace IM, Wilm A, Lopez R, Thompson JD, Gibson TJ, Higgins DG. Clustal W and Clustal X version 2.0. Bioinformatics. 2007;23:2947–8.
Tamura K, Stecher G, Peterson D, Filipski A, Kumar S. MEGA6: molecular evolutionary genetics analysis version 6.0. Mol Biol Evol. 2013;30:2725–9.
Nei M, Kumar S. Molecular evolution and phylogenetics. Oxford: Oxford University Press; 2000.
Schneider CA, Rasband WS, Eliceiri KW. NIH Image to ImageJ: 25 years of image analysis. Nat Methods. 2012;9:671–5.
Cai R, Lewis J, Yan S, Liu H, Clarke CR, Campanile F, Almeida NF, Studholme DJ, Lindeberg M, Schneider D, Zaccardelli M, Setubal JC, Morales-Lizcano NP, Bernal A, Coaker G, Baker C, Bender CL, Leman S, Vinatzer BA. The plant pathogen Pseudomonas syringae pv. tomato Is genetically monomorphic and under strong selection to evade tomato immunity. PLoS Pathog. 2011;7:e1002130.
Adnan M, Morton G, Hadi S. Analysis of rpoS and bolA gene expression under various stress-induced environments in planktonic and biofilm phase using 2(-DeltaDeltaCT) method. Mol Cell Biochem. 2011;357:275–82.
Yu X, Tang J, Wang Q, Ye W, Tao K, Duan S, Lu C, Yang X, Dong S, Zheng X, Wang Y. The RxLR effector Avh241 from Phytophthora sojae requires plasma membrane localization to induce plant cell death. New Phytol. 2012;196:247–60.
Oh CS, Pedley KF, Martin GB. Tomato 14-3-3 protein 7 positively regulates immunity-associated programmed cell death by enhancing protein abundance and signaling ability of MAPKKKα. Plant Cell. 2010;22:260–72.
Saitou N, Nei M. The neighbor-joining method: a new method for reconstructing phylogenetic trees. Mol Biol Evol. 1987;4:406–25.
B.Z. designed and performed experiments, analyzed the data, and wrote the article. L.Z. designed experiments, analyzed the data, wrote and edited the article. Both authors read and approved the final manuscript.
The authors declare that they have no competing interests.
This work was supported by funds from the National Science Foundation (NSF) (Grant #1645659) and the United States Department of Agriculture/National Institute of Food and Agriculture (Grant # 2012-67014-19449) to LZ.
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Additional file 1: Fig. S1. N. benthamiana ubiquitin E2 enzymes are classified into thirteen groups. Numbering of the groups was based on the phylogenetic analysis of the protein sequences of the N. benthamiana ubiquitin E2 s and by following the numbering of the groups of tomato ubiquitin E2 s . The unrooted phylogenetic tree of the amino acid sequences of the forty N. benthamiana ubiquitin E2s was generated by the neighbor-joining method using the MEGA6 program with 1000 bootstrap trials . The Roman numerals designate the different groups.
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Zhou, B., Zeng, L. Elucidating the role of highly homologous Nicotiana benthamiana ubiquitin E2 gene family members in plant immunity through an improved virus-induced gene silencing approach. Plant Methods 13, 59 (2017). https://doi.org/10.1186/s13007-017-0210-6
- Virus-induced gene silencing
- Off-target gene
- Highly homologous gene family
- Tobacco rattle virus
- Ubiquitin-conjugating enzyme
- Plant immunity