Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

CRISPR-based tools for targeted transcriptional and epigenetic regulation in plants

  • Joanne E. Lee,

    Roles Conceptualization, Formal analysis, Investigation, Methodology, Supervision, Visualization, Writing – original draft, Writing – review & editing

    Affiliation Umeå Plant Science Centre, Department of Plant Physiology, Umeå University, Umeå, Sweden

  • Manuela Neumann,

    Roles Formal analysis, Investigation, Methodology

    Affiliation Max Planck Institute for Developmental Biology, Department of Molecular Biology, Tübingen, Germany

  • Daniel Iglesias Duro,

    Roles Formal analysis, Methodology

    Affiliation Umeå Plant Science Centre, Department of Plant Physiology, Umeå University, Umeå, Sweden

  • Markus Schmid

    Roles Conceptualization, Funding acquisition, Supervision, Writing – original draft, Writing – review & editing

    markus.schmid@umu.se

    Affiliations Umeå Plant Science Centre, Department of Plant Physiology, Umeå University, Umeå, Sweden, Max Planck Institute for Developmental Biology, Department of Molecular Biology, Tübingen, Germany, Beijing Advanced Innovation Centre for Tree Breeding by Molecular Design, Beijing Forestry University, Beijing, People’s Republic of China

Abstract

Programmable gene regulators that can modulate the activity of selected targets in trans are a useful tool for probing and manipulating gene function. CRISPR technology provides a convenient method for gene targeting that can also be adapted for multiplexing and other modifications to enable strong regulation by a range of different effectors. We generated a vector toolbox for CRISPR/dCas9-based targeted gene regulation in plants, modified with the previously described MS2 system to amplify the strength of regulation, and using Golden Gate-based cloning to enable rapid vector assembly with a high degree of flexibility in the choice of promoters, effectors and targets. We tested the system using the floral regulator FLOWERING LOCUS T (FT) as a target and a range of different effector domains including the transcriptional activator VP64, the H3K27 acetyltransferase p300 and the H3K9 methyltransferase KRYPTONITE. When transformed into Arabidopsis thaliana, several of the constructs caused altered flowering time phenotypes that were associated with changes in FT expression and/or epigenetic status, thus demonstrating the effectiveness of the system. The MS2-CRISPR/dCas9 system can be used to modulate transcriptional activity and epigenetic status of specific target genes in plants, and provides a versatile tool that can easily be used with different targets and types of regulation for a range of applications.

Introduction

One of the most common approaches for investigating gene function is testing what happens when the gene of interest is misexpressed, usually through transgenic overexpression or through gene knockout or knockdown. While these techniques are often very informative, they do have some limitations; for example, they cannot easily be used to study the impact of epigenetic marks such as DNA methylation or histone modification on individual genes, and it can be difficult to misexpress multiple genes simultaneously, which may be desirable when studying a gene family or a series of steps in a biosynthetic pathway.

An alternative method for modifying gene expression is to use programmable synthetic regulators that act in trans to modulate transcriptional activity or epigenetic status at a chosen target site. This technique was initially developed using Zn-finger and transcription activator-like effector (TALE) proteins, which interact with DNA in a sequence-specific manner and can be engineered to bind specific sites of interest in the genome. When fused to an appropriate effector domain, the proteins can alter the activity of the target gene, either through direct interaction with transcriptional machinery or by modifying the epigenetic landscape in that region. Such constructs have been successfully used to activate and repress transcription and to modify epigenetic marks in a variety of organisms including Arabidopsis thaliana (Arabidopsis), tobacco and mammalian cells (reviewed in [1] and [2]). However, the fact that the DNA-interacting regions of Zn-finger and TALE proteins must be individually engineered for each target sequence tends to make them laborious and difficult to generate, and impractical for targeting multiple genes simultaneously.

A simpler and potentially much easier approach is offered by the clustered regularly interspaced palindromic repeats (CRISPR)/Cas9 system, in which the Cas9 nuclease complex is directed to specific sites in the genome as determined by complementary base-pairing between the DNA and a short single guide RNA (sgRNA). A nuclease-dead variant of the Cas9 protein (dCas9) linked to an effector domain can be used as a synthetic regulator in similar fashion to Zn-finger and TALE proteins (Fig 1A), with the added benefits that sgRNAs are much simpler to design and synthesise than DNA-interacting protein domains, and multiple sgRNAs targeting different DNA sequences can easily be expressed from a single construct to regulate several different genes at once (multiplexing). The utility of CRISPR/dCas9 for this purpose has been widely recognised, and dCas9-based regulators of various types have been employed in numerous experimental systems (reviewed in [1] and [3]).

thumbnail
Fig 1. Schematic of CRISPR/dCas9-mediated targeted gene regulation.

(A) The dCas9 protein is directed to specific sites in the genome as determined by complementary base-pairing between DNA and the sgRNA. Effector domains such as the transcriptional activator VP64 can be fused to the dCas9 protein to modulate the activity of neighbouring genes. (B) In the MS2 system, effector domains are recruited to dCas9 in the form of MS2-effector fusions, which bind as dimers to RNA hairpin aptamers engineered into the sgRNA. This has been shown to produce a stronger level of modulation compared to direct fusion [4, 5].

https://doi.org/10.1371/journal.pone.0222778.g001

One limitation of CRISPR-based systems for targeted gene regulation is that direct fusions of effector domains to dCas9 often produce only a low level of modulation, possibly due to steric hindrance, as dCas9 is a large protein of approximately 160 kDa. Various modifications have therefore been developed to increase the efficiency of regulation, such as translational fusion between oligomerized Xanthomonas TALEs and VP128 [6] or the MS2 system of Konermann et al. [4], in which the effector domain is fused not to dCas9 but to the bacteriophage coat protein MS2. Dimerised MS2-effector fusion proteins recognise and bind an RNA hairpin aptamer that can be engineered into the sgRNA at two different locations, so that effectors are recruited to dCas9 via protein-RNA interaction rather than by direct fusion (Fig 1B). This strategy is designed to enable the recruitment of multiple copies of an effector domain to a single dCas9 protein, and may also improve the positioning of the effector domains in relation to dCas9. The MS2 system consistently amplified the level of VP64-mediated gene activation in mammalian cells compared to direct fusion [4], and was also recently shown to be effective for boosting transcriptional activation in plants [5].

Here, we describe the development and validation of an MS2-CRISPR/dCas9 system for targeted regulation of transcriptional activity and epigenetic status in plants. Vectors were constructed using the GreenGate cloning system [7], which is based on the Golden Gate method [8] and facilitates rapid cloning of different combinations of promoters, effector domains and sgRNAs, and proof-of-concept experiments were carried out using the flowering time gene FLOWERING LOCUS T (FT) as a target. A range of effector domains were successfully used to modulate FT transcriptional activity and epigenetic status, as assessed by changes in flowering time, FT transcript levels and histone modification levels, thus demonstrating the feasibility of our approach. This system can easily be applied to other gene targets and types of regulation, and should be of particular use for modulating the activity of multiple genes simultaneously.

Results

Construction of the MS2-CRISPR/dCas9 vector toolbox

We generated all of our MS2-CRISPR/dCas9 expression constructs using the Golden Gate-based GreenGate cloning system [7], which allows rapid assembly of plant binary expression constructs from a library of modular, pre-cloned entry vectors. Individual modules consisting of promoters, coding sequences, etc. are initially cloned into a set of entry vectors that generate different overhangs when digested with the type IIS restriction enzyme BsaI. These modules can be inserted into a binary expression vector in a specific order based on the complementarity between overhang sequences, in a single cloning reaction consisting of repeated cycles of digestion and ligation. The system is fast, easy-to-use, and highly flexible, as it allows different promoters, effector domains and sgRNAs to be combined as desired. We followed a two-step cloning procedure, in which first an expression cassette encoding the MS2-effector fusion is inserted into a binary vector, followed in the second step by the dCas9 cassette, sgRNAs and plant resistance cassette (Fig 2). The procedure can be reduced to one step, if one of our intermediate vectors containing an already-assembled MS2-effector cassette is used, or extended with additional steps to include extra modules such as more sgRNAs or additional MS2-effector cassettes. All of the entry and intermediate vectors generated for this study were deposited with Addgene for the use of the community (S1 Table).

thumbnail
Fig 2. Assembly of MS2-CRISPR/dCas9 expression constructs.

All GreenGate entry vectors contain an insert module flanked by BsaI restriction sites (black scissors), which can be cloned into a binary expression vector in a specific order based on the overhangs generated from BsaI digestion. In the first cloning step, modules containing a promoter, MS2 and effector coding sequences, and terminator are inserted into a destination vector in place of a counter-selectable ccdB gene, along with an oligonucleotide duplex that contains two internal BsaI recognition sites (grey scissors). These sites are initially protected from digestion by cytosine methylation, which is lost following transformation and replication in bacteria. The unmethylated construct is then used as the destination vector in a second cloning step, in which a promoter, dCas9 coding sequence, terminator, sgRNAs and plant resistance cassette are inserted downstream of the MS2-effector cassette to create the final expression construct. Entry vectors containing short ‘dummy’ or adaptor sequences are used in positions where no specific module is desired, to provide the correct overhangs for plasmid assembly. This procedure can be modified to include additional modules by re-using the methylated oligonucleotide duplex to carry out further rounds of cloning.

https://doi.org/10.1371/journal.pone.0222778.g002

We initially tested the MS2-CRISPR/dCas9 system in Arabidopsis using the strong transcriptional activator VP64 as the effector domain fused to a nuclear-targeted MS2, and the floral regulatory gene FT as the sgRNA target. FT is normally expressed in phloem companion cells in response to long photoperiods, and is a key determinant of flowering time in long day (LD) conditions [9]. Any change in FT expression should therefore cause a corresponding shift in flowering time, thus providing a simple phenotypic read-out for the effectiveness of our synthetic regulators.

We generated four expression constructs in which the MS2-VP64 and dCas9 coding sequences were placed under the control of different combinations of the ubiquitously active cauliflower mosaic virus (CaMV) 35S promoter and the phloem-specific SUC2 promoter [10] (35S:MS2-VP64/35S:dCas9, 35S:MS2-VP64/pSUC2:dCas9, pSUC2:MS2-VP64/35S:dCas9 and pSUC2:MS2-VP64/pSUC2:dCas9; Table 1). In addition to the MS2-VP64 and dCas9 expression cassettes, each of the constructs also contained two sgRNAs, both modified with MS2-binding aptamers and targeted against neighbouring sites in the FT proximal promoter (sgRNA-FT-A and sgRNA-FT-B), and a Basta resistance cassette for selection in plants.

thumbnail
Table 1. MS2-CRISPR/dCas9 expression constructs used in this study.

https://doi.org/10.1371/journal.pone.0222778.t001

To check whether the physical presence of the dCas9 complex has any effect on gene expression in the absence of a transcriptional effector, we also cloned a negative control construct using the transcriptionally inert green fluorescent protein (GFP) in place of VP64, with 35S promoters driving expression of both MS2-GFP and dCas9, and the same FT-targeting sgRNAs as above.

Targeted upregulation of FT by MS2-VP64

The MS2-GFP and MS2-VP64 constructs were transformed into wild type Arabidopsis, accession Col-0, and flowering time was measured in LD-grown transgenic plants. The MS2-GFP negative control plants displayed nuclear fluorescence, confirming that the fusion protein was correctly expressed and localised, but the T1 population did not show any change in flowering time compared to wild type (Fig 3), indicating that the dCas9 complex does not itself affect transcriptional activity at the FT promoter.

thumbnail
Fig 3. The dCas9 complex does not affect flowering time when associated with MS2-GFP.

(A) MS2-GFP fluorescence was detected in the nuclei of root cells in homozygous 35S:MS2-GFP T3 plants. Image shows overlay of GFP fluorescence on bright field. Bar = 100 μm. (B) Flowering time of wild type Col-0 and 35S:MS2-GFP T1 plants grown in LDs. Violin plots represent density estimates of data, with white circles showing the median, black bars showing the interquartile range, and whiskers extending to data points up to 1.5 times the interquartile range from the first and third quartiles. Numbers of plants are shown above the chart, and significant difference from Col-0, calculated using Student’s t-test, is indicated above the violin plot. n.s. = not significant.

https://doi.org/10.1371/journal.pone.0222778.g003

Successful upregulation of FT by MS2-VP64 was expected to cause an early flowering phenotype, and this was indeed the case for three of the four MS2-VP64 constructs (Fig 4A). The strongest effects were observed in 35S:MS2-VP64/35S:dCas9 plants, with 24 out of 33 T1 individuals (73%) flowering earlier than any of the wild type plants, including several that produced only five leaves before flowering. The 35S:MS2-VP64/pSUC2:dCas9 and pSUC2:MS2-VP64/35S:dCas9 T1 populations showed more moderate shifts in flowering time but still contained a majority of individuals (65% and 58%, respectively) that flowered earlier than the wild type controls, while no significant change was detected for plants carrying the pSUC2:MS2-VP64/pSUC2:dCas9 construct. These results suggest that MS2-VP64 is effective at activating premature FT expression in a large proportion of transformed plants, provided that the strong 35S promoter is used for at least one of the expression cassettes. Strongly early flowering individuals were all morphologically similar, regardless of which specific construct they carried, with reduced stature and leaf size compared to wild type (Fig 4B), consistent with the phenotype that has been reported for 35S:FT plants [11].

thumbnail
Fig 4. Targeted regulation of FT by MS2-VP64/dCas9 leads to increased FT expression and early flowering.

(A) Flowering time of wild type Col-0 and MS2-VP64/dCas9 T1 plants grown in LDs. (B) Phenotypes of 4-week-old Col-0 and homozygous 35S:MS2-VP64/35S:dCas9 T3 plants grown in LDs. (C) Expression of FT in 6-day-old Col-0 and homozygous 35S:MS2-VP64/35S:dCas9 T3 plants grown in LDs. Whole seedlings were harvested at Zeitgeber time (ZT) 15, and transcript levels were measured by qPCR, normalised against TUBULIN2 (TUB2) and shown relative to Col-0. Values are the mean of three biological replicates ± standard error. Significant difference from Col-0 was calculated using Student’s t-test. * = P < 0.05. (D) Flowering time of Col-0 and homozygous 35S:MS2-VP64/35S:dCas9 T3 plants grown in SDs. (E, F) Phenotypes of (E) 7- and (F) 8-week-old homozygous 35S:MS2-VP64/35S:dCas9 T3 plants grown in SDs. Many of the SD-grown transgenic plants developed two rosette-producing meristems at ground level, (white arrowheads in E), while some individuals formed aerial rosettes on the bolting inflorescence stem (white arrows in F). Single cauline leaves were never observed on plants of either phenotype. (G) Flowering time of untransformed ft-10 mutants and ft-10 MS2-VP64/dCas9 T1 plants grown in LDs. Violin plots in (A), (D) and (G) represent density estimates of data, with white circles showing the median, black bars showing the interquartile range, and whiskers extending to data points up to 1.5 times the interquartile range from the first and third quartiles. Numbers of plants are shown above the charts, and significant differences from controls, calculated using Student’s t-test, are indicated above the violin plots. ** = P < 0.001, * = P < 0.05.

https://doi.org/10.1371/journal.pone.0222778.g004

We confirmed that the 35S:MS2-VP64/35S:dCas9 early flowering phenotype was maintained in the T2 generation in three independent lines (S1 File), and selected one of these lines to continue for further characterisation. Quantitative PCR (qPCR) analysis was performed in young T3 plants to measure FT expression, and, consistent with the flowering time results, we found that FT was strongly and significantly upregulated in transgenic seedlings compared to wild type controls (Fig 4C). The early flowering phenotype was retained when T3 plants were grown in short day (SD) conditions (Fig 4D), as expected for plants overexpressing FT, and SD-grown 35S:MS2-VP64/35S:dCas9 plants also displayed double rosette and aerial rosette phenotypes that were never observed when the plants were grown in LDs (Fig 4E and 4F). The same phenotypes were observed in SD-grown 35S:MS2-VP64/pSUC2:dCas9 plants, but not pSUC2:MS2-VP64/35S:dCas9 or pSUC2:MS2-VP64/pSUC2:dCas9 plants.

To check that the early flowering phenotype of the MS2-VP64 plants was specifically caused by changes in FT regulation and was not due to off-target effects or insertional artifacts, the four constructs were also transformed into an ft-10 mutant background. In the absence of functional FT, most of the transgenic plants flowered at approximately the same time as untransformed ft-10 controls (Fig 4G). The ft-10 35S:MS2-VP64/pSUC2:dCas9 T1 plants flowered slightly earlier than ft-10 mutants on average, and the ft-10 pSUC2:MS2-VP64/pSUC2:dCas9 plants slightly later, but overall these plants still closely resembled untransformed ft-10 mutants in their flowering time. These results demonstrate that the MS2-VP64 constructs trigger early flowering specifically through upregulation of the intended target gene FT, and that the MS2-CRISPR/dCas9 system is an effective method for targeted modulation of gene activity in plants.

Modulation of FT with different MS2-effector fusions

Following the successful use of MS2-VP64 constructs to upregulate FT expression, we generated a series of additional MS2-effector fusions to test whether the system is similarly effective for other types of gene regulation. The effectors that we chose were the SRDX transcriptional repressor motif [12]; the catalytic core domain of Homo sapiens p300, an H3K27 histone acetyltransferase that is associated with gene activation [13]; the catalytic Su(var)3-9, Enhancer-of-zeste and Trithorax (SET) domain of Homo sapiens G9a, an H3K9 histone methyltransferase associated with gene silencing [14]; and the SET domain of KRYPTONITE (KYP), an H3K9 methyltransferase from Arabidopsis [15] (Table 1). The three histone modifiers have all previously been used for CRISPR- or TALE-guided histone modification in animal systems and are thus known to retain functionality when fused to other proteins [1619]. For these constructs, we again used FT as the regulatory target, and 35S was used as the promoter for both MS2-effector and dCas9 expression cassettes.

We transformed the constructs into plants and analysed the flowering time of the transgenic populations, and observed varying levels of effectiveness for the different constructs. MS2- SRDX was expected to cause late flowering through repression of FT expression, but this was not observed in either the T1 or T2 generations (Fig 5A, S1 File). H3K27 acetylation by MS2-p300 was expected to cause early flowering, and this was indeed observed in the T1 population, although the effect was weak and not statistically significant in the T2 lines that we examined (Fig 5B, S1 File). The two H3K9 methyltransferase constructs were expected to cause late flowering phenotypes; while both the MS2-G9a and MS2-KYP T1 populations flowered later than wild type plants on average (Fig 5C and 5D), the difference was only statistically significant for MS2-KYP. As G9a and KYP share the same enzymatic function and the MS2-KYP construct appeared to be slightly more effective, we proceeded with MS2-KYP only, and confirmed that the late flowering phenotype was maintained in the T2 generation (S1 File).

thumbnail
Fig 5. Different MS2-effector fusions regulate FT with varying levels of effectiveness.

(A-D) Flowering time of wild type Col-0 and (A) MS2-SRDX, (B) MS2-p300, (C) MS2-G9a and (D) MS2-KYP T1 plants grown in LDs. Violin plots represent density estimates of data, with white circles showing the median, black bars showing the interquartile range, and whiskers extending to data points up to 1.5 times the interquartile range from the first and third quartiles. Numbers of plants are shown above the charts, and significant differences from Col-0, calculated using Student’s t-test, are indicated above the violin plots. ** = P < 0.001, * = P < 0.05. (E, F) Expression of FT in (E) 8-day-old Col-0 and homozygous MS2-p300 T3 plants, and (F) 12-day-old Col-0 and homozygous MS2-KYP T3 plants grown in LDs. Whole seedlings were harvested at ZT 15, and transcript levels were measured by qPCR, normalised against TUB2 and shown relative to Col-0. Values are the mean of three biological replicates ± standard error. Significant differences from Col-0 were calculated using Student’s t-test. * = P < 0.05. (G) Schematic of the FT locus, showing the positions of the sgRNA target sites, A and B, and the regions that were amplified to measure histone mark enrichment. Grey boxes represent the FT coding sequence and white boxes represent untranslated regions. (H, I) Enrichment of (H) H3K27ac and (I) H3K9me2 in homozygous MS2-p300 and MS2-KYP T3 plants, respectively. ChIP experiments were carried out using chromatin from homozygous 15-day-old seedlings grown in LDs. Enrichment of histone marks was measured by qPCR, and data were normalised against either the highly transcribed RBCS1A gene (H) or the Cinful-like retrotransposon T5L23.29 (I). Values are the mean of three biological replicates ± standard error. Significant differences from MS2-GFP were calculated using Student’s t-test. * = P < 0.05.

https://doi.org/10.1371/journal.pone.0222778.g005

Both the MS2-p300 and MS2-KYP histone-modifying constructs were effective at altering flowering time, so we carried out further molecular characterisation of T3 lines to verify their effects on FT. We did not detect any increase in FT expression in MS2-p300 plants compared to wild type (Fig 5E), but the MS2-KYP plants showed a statistically significant decrease, consistent with their late-flowering phenotype (Fig 5F). We also performed chromatin immunoprecipitation (ChIP) to measure the levels of histone acetylation and methylation around the target site. Regions in the FT promoter were enriched in H3K27 acetylation (H3K27ac) by approximately 2-fold in MS2-p300 plants compared to MS2-GFP controls (Fig 5H), showing that targeted modification of histone marks was successful in this line even though the effects on FT expression and flowering time were minor. MS2-KYP plants, on the other hand, did not show any significant enrichment in H3K9 dimethylation (H3K9me2) at the FT locus (Fig 5I). Nonetheless, these combined results show that the MS2-CRISPR/dCas9 system can be successfully used with a range of different effectors to regulate both transcriptional and epigenetic status at a specific locus of interest.

Discussion

Effectiveness of the MS2-CRISPR/dCas9 system for different types of gene regulation

We developed a modified version of the CRISPR/dCas9 system to use for targeted gene regulation in plants, and validated our system in Arabidopsis using the flowering time regulator FT as a target. MS2-mediated recruitment of the strong transcriptional activator VP64 to the FT promoter resulted in strong upregulation of FT and a corresponding acceleration of flowering (Fig 4), demonstrating the basic effectiveness of the system. We observed the strongest effects when the highly and ubiquitously active 35S promoter was used to drive expression of both MS2-VP64 and dCas9, even though pSUC2 has previously been shown to trigger early flowering with similar or higher efficiency than 35S when driving FT expression directly [20]. This suggests that the MS2-CRISPR/dCas9 system may require higher levels of expression compared to traditional transgenic misexpression constructs, presumably because the MS2-VP64 fusion protein must overcome repression by native regulatory factors that are also present at the FT promoter. However, the 35S:MS2-VP64/pSUC2:dCas9 plants were also strongly early flowering, more so than the pSUC2:MS2-VP64/35S:dCas9 plants, suggesting that high level expression is more important for the MS2-effector cassette than for the dCas9 cassette. Efficient tissue-specific or conditional regulation of a target gene may therefore be possible using only a weak promoter for dCas9, as long as 35S or a similarly strong promoter is used for the MS2-effector expression cassette.

In addition to the expected phenotypes of early flowering and reduced stature, we also observed double rosette and aerial rosette phenotypes when 35S:MS2-VP64/35S:dCas9 plants were grown in SD conditions (Fig 4E and 4F). Similar phenotypes have previously been reported for several other genotypes with altered flowering time regulation [2125], but not for 35S:FT plants, suggesting that the SD phenotypes arise from interplay between MS2-VP64 and native regulators at the FT promoter, as opposed to FT overexpression per se. As the activity of native regulators varies across cell types and developmental stages, this may produce more complex patterns of expression than are found in traditional transgenic overexpressors, thus giving rise to novel phenotypes.

Repression of FT by MS2-SRDX was surprisingly less effective than MS2-VP64-mediated upregulation (Fig 5A), even though the SRDX motif is known to have strong repressor activity and is regularly used in chimeric repressors [12, 2630]. We speculate that this is due to strong activation of FT by the photoperiod pathway counteracting any repressive effects of the SRDX domain, and that a late flowering phenotype might be observed if the plants were grown under different conditions such as cooler ambient temperature, which is known to lower FT expression [31] and is sometimes used to reveal or enhance weak flowering time phenotypes [28, 32]. It is also possible that stronger repression might be observed using a different effector such as 3 x SRDX, which has previously been used to achieve targeted repression in a CRISPR-guided system [30], or different target genes that are less tightly regulated than FT. In general, we expect that the efficiency of MS2-CRISPR/dCas9-mediated regulation will vary widely depending on the specific gene target(s) and interplay between the chosen effector and the native regulatory environment.

The histone-modifying MS2-p300 and MS2-KYP constructs had detectable but mild effects on FT regulation and flowering time (Fig 5). This may be because chromatin regulation generally relies on the concerted action of multiple factors, and this is particularly the case for FT, as a key floral regulator that integrates signals from multiple pathways and is known to be epigenetically regulated by a variety of histone-modifying enzymes with which the MS2 constructs must compete [33]. Concurrent use of sequentially-acting histone modifiers may therefore be required to overcome the effects of native epigenetic regulators and achieve strong regulation of target genes. This could potentially be accomplished using our system, by extending the GreenGate cloning procedure to include additional MS2-effector cassettes with different histone modifying domains in the same binary expression vector. Nonetheless, the modest changes in flowering time and observed increase in H3K27 acetylation at the FT promoter in MS2-p300 plants show that targeted histone modification can be effective using the MS2-CRISPR/dCas9 system, even with only one type of histone modifier. Other groups have recently demonstrated Zn-finger- and CRISPR-based tools for targeted DNA methylation and demethylation in plants [34, 35], and targeted histone modifiers like the ones described here will make another useful addition to the suite of tools available for investigating and manipulating epigenetic regulation in plants.

Potential applications of the MS2-CRISPR/dCas9 system

The MS2-CRISPR/dCas9 system can potentially provide a more nuanced view of gene function than the traditional methods of misexpression and gene knockout, while also offering possibilities for investigating the mechanisms of gene regulation and for studying groups of genes at the same time. While a variety of other CRISPR-based systems for plant gene modulation have previously been described [5, 30, 3538], these generally rely on direct dCas9-effector fusions and/or provide limited options in the selection of promoters and effector domains. We believe that the strong regulation of the MS2 system combined with the flexibility and convenience of GreenGate cloning offer advantages not shared by these other systems. For example, while we mainly used the 35S promoter for our proof-of-concept experiments, it is equally possible to use cell type-specific or environmentally inducible promoters in order to investigate the effects of targeted gene regulation under specific conditions of interest, and effector domains and sgRNAs can be combined as desired to investigate the effects of transcriptional activation, repression or various types of epigenetic modification at different sites of interest. The vector toolbox can also be expanded indefinitely to include other effector domains that were not tested here, simply by cloning the domain into the appropriate entry vector.

Furthermore, a key advantage of all CRISPR-based systems is that their RNA-guided targeting mechanism makes them highly amenable to multiplexing, which may be useful for increasing the strength of regulation by using multiple sgRNAs targeting different regions of a single gene, or for targeting multiple genes such as closely related members of a gene family or enzymes involved in consecutive steps of a metabolic pathway. This can be facilitated by using one of the various strategies that have been developed for producing multiple sgRNAs from a single transcript [39, 40], so that they can be combined into a single cloning module, or else by extending the cloning procedure so that many different sgRNAs can be incorporated independently as separate modules.

While the range of available sgRNA targets is slightly limited by the fact that the Streptococcus pyogenes-derived dCas9 used here requires an NGG protospacer adjacent motif (PAM) to be present in the DNA immediately adjacent to the sgRNA target site, we do not anticipate that this will be a significant constraint on target selection, as cis-regulatory regions tend to be broad enough to contain multiple PAM sites. However, there do exist evolved SpCas9 variants with altered PAM compatibility [41, 42], which could potentially be used with our system in place of the standard dCas9 to expand the target range and further increase the flexibility and utility of the system.

Conclusions

The MS2-CRISPR/dCas9 vector toolkit that we have developed is effective at altering the transcriptional and epigenetic status of the Arabidopsis flowering time gene FT, and can be easily tailored for use with other target genes and effectors using a rapid and straightforward Golden Gate-based cloning procedure. This provides a convenient tool for investigating and manipulating the regulation of plant genes for a variety of potential purposes.

Materials and methods

Cloning

All plasmids were propagated using Escherichia coli strain DH5α and verified by sequencing. GreenGate entry and destination vectors previously described by Lampropoulos et al. [7] were obtained from Addgene.

Entry vectors.

Modules for entry vectors were either synthesised de novo, or PCR-amplified using primers with flanking sequences containing BsaI recognition sites and the appropriate overhang sequences. Phusion High-Fidelity DNA Polymerase (Thermo Scientific) was used for PCRs, and the purified PCR products were inserted into ccdB-containing empty entry vectors through a GreenGate reaction [7]. 9 μL of purified PCR product was mixed with 1.5 μL of the appropriate empty entry vector, 1 μL of FastDigest Eco31I (isoschizomer of BsaI), 1.5 μL of FastDigest buffer, 1 μL of 10 mM ATP and 1 μL of 30 U/μL T4 DNA ligase for a total volume of 15 μL. Enzymes and chemical reagents were obtained from Thermo Scientific. We performed 50 cycles of digestion (37°C for 5 minutes) and ligation (16°C for 5 minutes), followed by 50°C for 5 minutes and 80°C for 5 minutes, and the entire mixture was transformed into E. coli.

For pSUC2, a 2.1 kb sequence upstream of the SUC2 coding sequence was amplified from Arabidopsis genomic DNA [10]. The SRDX coding sequence was synthesised by overlap PCR. The KYP coding sequence and the C-module RBCS terminator were both amplified from pre-existing plasmids. The dCas9 coding sequence was made by site-directed mutagenesis of an Arabidopsis codon-optimised version of the SpCas9 coding sequence [43], introducing the mutations D10A and H840A. The codon-optimised MS2 and VP64 coding sequences and the aptamer-modified sgRNA sequences (based on sgRNA 2.0 from [4]) were synthesised by Life Technologies, and the codon-optimised p300 and G9a coding sequences were synthesised by Eurofins, all with the appropriate flanking GreenGate sequences.

The sequences of primers used for cloning are listed in S2 Table, and the full sequences of all entry and intermediate plasmids can be found at Addgene under the accession numbers 122835–41, 122854–57, and 122859–65.

Methylated oligonucleotide duplex.

Oligonucleotides with the sequences 5’-taggaccttgagacCgaaaaggtggtctCa-3’ and 5’-atactgagacCaccttttcggtctCaaggt-3’ were synthesised by Eurofins, with methyl groups on the capitalised cytosine residues, and they were annealed together by heating at 95°C for 5 minutes followed by gradual cooling.

Intermediate vectors.

Intermediate vectors containing the MS2-effector cassette were assembled by GreenGate reaction [7]. 1.5 μL of each of six entry vectors (promoter, MS2 coding sequence, effector coding sequence, dummy sequence, terminator and F-H adaptor) was mixed with 1 μL of 0.5 μM methylated oligonucleotide duplex, 1.5 μL of the ccdB-containing destination vector pGGZ001, 1 μL of FastDigest Eco31I, 1.5 μL of FastDigest buffer, 1 μL of 10 mM ATP and 1 μL of 30 U/μL T4 DNA ligase, and repeated cycles of digestion and ligation were performed as described above.

Final expression vectors.

The final plant expression vectors were assembled in a similar fashion, by mixing six entry vectors (promoter, dCas9 coding sequence, terminator, sgRNAs and resistance cassette) with an intermediate vector and reagents for digestion and ligation. The GreenGate reaction was performed as described above, after which any remaining intermediate vector was digested by adding an additional 0.5 μL of FastDigest Eco31I and incubating at 37°C for 1 hour, followed by heat inactivation at 80°C for 5 minutes. Purified plasmids were subsequently transformed into Agrobacterium tumefaciens strain GV3101 carrying the pSoup helper plasmid [44], for transformation into plants.

Plant materials and growth conditions

The Columbia (Col-0) ecotype of Arabidopsis was used throughout. ft-10 (GABI_290E08) is a T-DNA insertion mutant and has been described previously [45]. Plants were grown on soil in either LD (16 hours light/8 hours dark) or SD (8 hours light/16 hours dark) conditions, as indicated, at 22°C during light periods and 18°C during dark periods. Plant transformations were performed by floral dip [46], and transgenic plants were selected by spraying with 0.1% (v/v) Basta. Single insertion transgenic lines were chosen for further analysis in T2 and T3 generations.

Flowering time measurement

Flowering time was measured by counting the total number of rosette and cauline leaves. In the case of SD-grown MS2-VP64 plants with multiple shoot meristems, leaf number was counted at the time of bolting and included the basal rosette(s) only. Violin plots were generated using the BoxPlotR web tool [47].

Fluorescence microscopy

MS2-GFP fluorescence was examined in the roots of 2-week-old plants grown on 0.5 x Murashige and Skoog medium with 0.8% agar, using a Zeiss LSM 780 confocal microscope.

qPCR

Whole-seedling samples were collected at Zeitgeber time (ZT) 15, and RNA was extracted using the RNeasy Plant Mini Kit (Qiagen) and treated with DNase I (Thermo Scientific) to remove any contaminating genomic DNA. cDNA was synthesised from 1 μg RNA using the RevertAid First Strand cDNA Synthesis Kit (Thermo Scientific) with oligodT primers, and this was used for qPCR reactions with LightCycler 480 SYBR Green I Master (Roche Life Science) in a Bio-Rad CFX96 machine. For each sample, we used three independent biological replicates, with three technical replicates each. The sequences of primers used for qPCR are listed in S2 Table.

ChIP

Approximately 1.5 g of whole seedlings were collected for each of three biological replicates per sample, and fixed in 1% formaldehyde for 1 hour under vacuum. ChIP was performed as described previously [48], using Abcam antibodies anti-H3K27Ac (ab4729) and anti-H3K9me2 (ab1220), at 1/500 and 1/600 dilutions, respectively. Quantification was performed by qPCR as described above and histone mark levels were calculated as enrichment in immunoprecipitated samples compared to input, normalised against either RBCS1A or the Cinful-like retrotransposon T5L23.29, loci that have previously been shown to carry high levels of H3K27Ac and H3K9me2, respectively [49, 50]. The sequences of primers used for qPCR are listed in S2 Table.

Supporting information

S1 File. Flowering time data for transgenic plants.

https://doi.org/10.1371/journal.pone.0222778.s001

(XLSX)

S2 Table. Sequences of the primers used in this study.

https://doi.org/10.1371/journal.pone.0222778.s003

(DOCX)

Acknowledgments

We thank Silvio Collani for pSUC2 entry vector, Daniela Goretti for SRDX entry vector, Efthymia Symeonidi for the recloned Cas9 and tRBCS entry vectors, and the labs of Sascha Laubinger and Holger Puchta for the original KYP and codon-optimised Cas9 plasmids.

References

  1. 1. Piatek A, Mahfouz MM. Targeted genome regulation via synthetic programmable transcriptional regulators. Crit Rev Biotech. 2017;37(4):429–40. pmid:27093352
  2. 2. Köferle A, Stricker SH, Beck S. Brave new epigenomes: the dawn of epigenetic engineering. Genome Med. 2015;7(1):59. PMC4472160. pmid:26089986
  3. 3. Dominguez AA, Lim WA, Qi LS. Beyond editing: repurposing CRISPR–Cas9 for precision genome regulation and interrogation. Nature Rev Mol Cell Biol. 2015;17:5. pmid:26670017
  4. 4. Konermann S, Brigham MD, Trevino AE, Joung J, Abudayyeh OO, Barcena C, et al. Genome-scale transcriptional activation by an engineered CRISPR-Cas9 complex. Nature. 2015;517(7536):583–8. pmid:25494202
  5. 5. Lowder LG, Zhou J, Zhang Y, Malzahn A, Zhong Z, Hsieh T-F, et al. Robust transcriptional activation in plants using multiplexed CRISPR-Act2.0 and mTALE-Act systems. Mol Plant. 2018;11(2):245–56. pmid:29197638
  6. 6. Li Z, Zhang D, Xiong X, Yan B, Xie W, Sheen J, et al. A potent Cas9-derived gene activator for plant and mammalian cells. Nat Plants. 2017;3(12):930–6. Epub 2017/11/22. pmid:29158545
  7. 7. Lampropoulos A, Sutikovic Z, Wenzl C, Maegele I, Lohmann JU, Forner J. GreenGate—a novel, versatile, and efficient cloning system for plant transgenesis. PLoS ONE. 2013;8(12):e83043. pmid:24376629
  8. 8. Engler C, Kandzia R, Marillonnet S. A one pot, one step, precision cloning method with high throughput capability. PLOS ONE. 2008;3(11):e3647. pmid:18985154
  9. 9. Turck F, Fornara F, Coupland G. Regulation and identity of florigen: FLOWERING LOCUS T moves center stage. Annu Rev Plant Biol. 2008;59(1):573–94. pmid:18444908
  10. 10. Imlau A, Truernit E, Sauer N. Cell-to-cell and long-distance trafficking of the green fluorescent protein in the phloem and symplastic unloading of the protein into sink tissues. Plant Cell. 1999;11(3):309–22. pmid:10072393
  11. 11. Kardailsky I, Shukla VK, Ahn JH, Dagenais N, Christensen SK, Nguyen JT, et al. Activation Tagging of the Floral Inducer FT. Science. 1999;286(5446):1962–5. pmid:10583961
  12. 12. Hiratsu K, Matsui K, Koyama T, Ohme-Takagi M. Dominant repression of target genes by chimeric repressors that include the EAR motif, a repression domain, in Arabidopsis. Plant J. 2003;34(5):733–9. pmid:12787253
  13. 13. Ogryzko VV, Schiltz RL, Russanova V, Howard BH, Nakatani Y. The transcriptional coactivators p300 and CBP are histone acetyltransferases. Cell. 1996;87(5):953–9. pmid:8945521
  14. 14. Tachibana M, Sugimoto K, Fukushima T, Shinkai Y. SET domain-containing protein, G9a, is a novel lysine-preferring mammalian histone methyltransferase with hyperactivity and specific selectivity to lysines 9 and 27 of histone H3. J Biol Chem. 2001;276(27):25309–17. pmid:11316813
  15. 15. Jackson JP, Lindroth AM, Cao X, Jacobsen SE. Control of CpNpG DNA methylation by the KRYPTONITE histone H3 methyltransferase. Nature. 2002;416(6880):556–60. pmid:11898023
  16. 16. Hilton IB, D'Ippolito AM, Vockley CM, Thakore PI, Crawford GE, Reddy TE, et al. Epigenome editing by a CRISPR-Cas9-based acetyltransferase activates genes from promoters and enhancers. Nat Biotech. 2015;33(5):510–7. pmid:25849900
  17. 17. Agne M, Blank I, Emhardt AJ, Gäbelein CG, Gawlas F, Gillich N, et al. Modularized CRISPR/dCas9 effector toolkit for target-specific gene regulation. ACS Synth Biol. 2014;3(12):986–9. pmid:25524106
  18. 18. O’Geen H, Ren C, Nicolet CM, Perez AA, Halmai J, Le VM, et al. dCas9-based epigenome editing suggests acquisition of histone methylation is not sufficient for target gene repression. Nuc Acids Res. 2017;45(17):9901–16. pmid:28973434
  19. 19. Konermann S, Brigham MD, Trevino A, Hsu PD, Heidenreich M, Le C, et al. Optical control of mammalian endogenous transcription and epigenetic states. Nature. 2013;500(7463):472–6. pmid:23877069
  20. 20. An H, Roussot C, Suárez-López P, Corbesier L, Vincent C, Piñeiro M, et al. CONSTANS acts in the phloem to regulate a systemic signal that induces photoperiodic flowering of Arabidopsis. Development. 2004;131(15):3615–26. pmid:15229176
  21. 21. Grbic B, Bleecker AB. An altered body plan is conferred on Arabidopsis plants carrying dominant alleles of two genes. Development. 1996;122(8):2395–403. pmid:8756285
  22. 22. Chou M-L, Yang C-H. FLD interacts with genes that affect different developmental phase transitions to regulate Arabidopsis shoot development. Plant J. 1998;15(2):231–42. pmid:9721681
  23. 23. Ratcliffe OJ, Amaya I, Vincent CA, Rothstein S, Carpenter R, Coen ES, et al. A common mechanism controls the life cycle and architecture of plants. Development. 1998;125(9):1609–15. pmid:9521899
  24. 24. Proveniers M, Rutjens B, Brand M, Smeekens S. The Arabidopsis TALE homeobox gene ATH1 controls floral competency through positive regulation of FLC. Plant J. 2007;52(5):899–913. pmid:17908157
  25. 25. Melzer S, Lens F, Gennen J, Vanneste S, Rohde A, Beeckman T. Flowering-time genes modulate meristem determinacy and growth form in Arabidopsis thaliana. Nature Genet. 2008;40:1489. pmid:18997783
  26. 26. Mitsuda N, Hiratsu K, Todaka D, Nakashima K, Yamaguchi-Shinozaki K, Ohme-Takagi M. Efficient production of male and female sterile plants by expression of a chimeric repressor in Arabidopsis and rice. Plant Biotech J. 2006;4(3):325–32. pmid:17147638
  27. 27. Heyl A, Ramireddy E, Brenner WG, Riefler M, Allemeersch J, Schmülling T. The transcriptional repressor ARR1-SRDX suppresses pleiotropic cytokinin activities in Arabidopsis. Plant Physiol. 2008;147(3):1380–95. pmid:18502977
  28. 28. Hanano S, Goto K. Arabidopsis TERMINAL FLOWER1 is involved in the regulation of flowering time and inflorescence development through transcriptional repression. Plant Cell. 2011;23(9):3172–84. pmid:21890645
  29. 29. Mahfouz MM, Li L, Piatek M, Fang X, Mansour H, Bangarusamy DK, et al. Targeted transcriptional repression using a chimeric TALE-SRDX repressor protein. Plant Mol Biol. 2012;78(3):311–21. pmid:22167390
  30. 30. Lowder LG, Zhang D, Baltes NJ, Paul JW, Tang X, Zheng X, et al. A CRISPR/Cas9 toolbox for multiplexed plant genome editing and transcriptional regulation. Plant Physiol. 2015;169(2):971–85. pmid:26297141
  31. 31. Blázquez MA, Ahn JH, Weigel D. A thermosensory pathway controlling flowering time in Arabidopsis thaliana. Nature Genet. 2003;33(2):168–71. pmid:12548286
  32. 32. You Y, Sawikowska A, Lee JE, Benstein RM, Neumann M, Krajewski P, et al. Phloem companion cell-specific transcriptomic and epigenomic analyses identify MRF1, a regulator of flowering. Plant Cell. 2019;31(2):325–45. pmid:30670485
  33. 33. Jeong HJ, Yang J, Yi J, An G. Controlling flowering time by histone methylation and acetylation in arabidopsis and rice. J Plant Biol. 2015;58(4):203–10.
  34. 34. Gallego-Bartolomé J, Gardiner J, Liu W, Papikian A, Ghoshal B, Kuo HY, et al. Targeted DNA demethylation of the Arabidopsis genome using the human TET1 catalytic domain. Proc Nat Acad Sci U S A. 2018;115(9):E2125–E34. pmid:29444862
  35. 35. Papikian A, Liu W, Gallego-Bartolomé J, Jacobsen SE. Site-specific manipulation of Arabidopsis loci using CRISPR-Cas9 SunTag systems. Nature Commun. 2019;10(1):729. pmid:30760722
  36. 36. Piatek A, Ali Z, Baazim H, Li L, Abulfaraj A, Al-Shareef S, et al. RNA-guided transcriptional regulation in planta via synthetic dCas9-based transcription factors. Plant Biotech J. 2015;13(4):578–89. pmid:25400128
  37. 37. Park J-J, Dempewolf E, Zhang W, Wang Z-Y. RNA-guided transcriptional activation via CRISPR/dCas9 mimics overexpression phenotypes in Arabidopsis. PLOS ONE. 2017;12(6):e0179410. pmid:28622347
  38. 38. Tang X, Lowder LG, Zhang T, Malzahn AA, Zheng X, Voytas DF, et al. A CRISPR–Cpf1 system for efficient genome editing and transcriptional repression in plants. Nat Plants. 2017;3:17018. pmid:28211909
  39. 39. Nissim L, Perli Samuel D, Fridkin A, Perez-Pinera P, Lu Timothy K. Multiplexed and programmable regulation of gene networks with an integrated RNA and CRISPR/Cas toolkit in human cells. Mol Cell. 2014;54(4):698–710. pmid:24837679
  40. 40. Xie K, Minkenberg B, Yang Y. Boosting CRISPR/Cas9 multiplex editing capability with the endogenous tRNA-processing system. Proc Nat Acad Sci U S A. 2015;112(11):3570–5. pmid:25733849
  41. 41. Hu JH, Miller SM, Geurts MH, Tang W, Chen L, Sun N, et al. Evolved Cas9 variants with broad PAM compatibility and high DNA specificity. Nature. 2018;556:57. pmid:29512652
  42. 42. Nishimasu H, Shi X, Ishiguro S, Gao L, Hirano S, Okazaki S, et al. Engineered CRISPR-Cas9 nuclease with expanded targeting space. Science. 2018;361(6408):1259–62. pmid:30166441
  43. 43. Capovilla G, Symeonidi E, Wu R, Schmid M. Contribution of major FLM isoforms to temperature-dependent flowering in Arabidopsis thaliana. J Exp Bot. 2017;68(18):5117–27. pmid:29036339
  44. 44. Hellens RP, Edwards EA, Leyland NR, Bean S, Mullineaux PM. pGreen: a versatile and flexible binary Ti vector for Agrobacterium-mediated plant transformation. Plant Mol Biol. 2000;42(6):819–32. pmid:10890530
  45. 45. Yoo SK, Chung KS, Kim J, Lee JH, Hong SM, Yoo SJ, et al. CONSTANS activates SUPPRESSOR OF OVEREXPRESSION OF CONSTANS 1 through FLOWERING LOCUS T to promote flowering in Arabidopsis. Plant Physio. 2005;139(2):770–8. pmid:16183837
  46. 46. Clough SJ, Bent AF. Floral dip: a simplified method for Agrobacterium -mediated transformation of Arabidopsis thaliana. Plant J. 1998;16(6):735–43. pmid:10069079
  47. 47. Spitzer M, Wildenhain J, Rappsilber J, Tyers M. BoxPlotR: a web tool for generation of box plots. Nat Methods. 2014;11(2):121–2. pmid:24481215
  48. 48. Collani S, Neumann M, Yant L, Schmid M. FT modulates genome-wide DNA-binding of the bZIP transcription factor FD. Plant Physiol. 2019:pp.01505.2018. pmid:30770462
  49. 49. Bastow R, Mylne JS, Lister C, Lippman Z, Martienssen RA, Dean C. Vernalization requires epigenetic silencing of FLC by histone methylation. Nature. 2004;427:164. pmid:14712277
  50. 50. Benhamed M, Bertrand C, Servet C, Zhou D-X. Arabidopsis GCN5, HD1, and TAF1/HAF2 interact to regulate histone acetylation required for light-responsive gene expression. Plant Cell. 2006;18(11):2893–903. pmid:17085686