Abstract
We seek to manipulate gene function here through CRISPR-Cas9 editing of cis-regulatory sequences, rather than the more typical mutation of coding regions. This approach would minimize secondary effects of cellular responses to nonsense mediated decay pathways or to mutant protein products by premature stops. This strategy also allows for reducing gene activity in cases where a complete gene knockout would result in lethality, and it can be applied to the rapid identification of key regulatory sites essential for gene expression. We test this strategy here with genes of known function as a proof of concept, and then applied it to examine the upstream genomic region of the germline gene Nanos2 in the sea urchin, Strongylocentrotus purpuratus. We first used CRISPR-Cas9 to target established genomic cis-regulatory regions of the skeletogenic cell transcription factor, Alx1, and the TGF-β signaling ligand, Nodal, which produce obvious developmental defects when altered in sea urchin embryos. Importantly, mutation of cis-activator sites (Alx1) and cis-repressor sites (Nodal) result in the predicted decreased and increased transcriptional output, respectively. Upon identification of efficient gRNAs by genomic mutations, we then used the same validated gRNAs to target a deadCas9-VP64 transcriptional activator to increase Nodal transcription directly. Finally, we paired these new methodologies with a more traditional, GFP reporter construct approach to further our understanding of the transcriptional regulation of Nanos2, a key gene required for germ cell identity in S. purpuratus. With a series of reporter assays, upstream Cas9-promoter targeted mutagenesis, coupled with qPCR and in situ RNA hybridization, we concluded that the promoter of Nanos2 drives strong mRNA expression in the sea urchin embryo, indicating that it’s primordial germ cell (PGC)-specific restriction may rely instead on post-transcriptional regulation. Overall, we present a proof-of-principle tool-kit of Cas9-mediated manipulations of promoter regions that should be applicable in most cells and embryos for which CRISPR-Cas9 is employed.
Introduction
The mechanisms of cell fate determination are typically interrogated by their gene regulatory networks (GRNs), as they summarize analyses of pathways governing embryonic development (Davidson et al., 2002). A GRN is constructed from gene perturbation experiments to identify the function of transcription factors or signaling ligands which control cell fate decisions in an embryo (Davidson et al., 2002; Peter and Davidson, 2015; Saudemont et al., 2010). Currently, CRISPR-Cas9 genome editing technology is a preferred approach to test and to construct GRNs. Typically, Cas9 and its associated guide RNA (gRNA) are used to mutate coding exons of the gene of interest. This approach is overall extremely successful in a wide variety of vertebrate and invertebrate animal (Gandhi et al., 2018; Lin and Su, 2016; Moreno-Mateos et al., 2015). However, it was recently demonstrated that nonsense mediated decay of a mutant transcript can affect gene expression and cell cycle progression secondarily and yield partial protein derivatives of unknown impact (Anderson et al., 2017; Tuladhar et al., 2019). To obviate these concerns, and to add an additional level of understanding in transcriptional control, we sought to test the efficacy of altering transcription by targeting non-coding, cis-regulatory regions flanking the gene of interest (Williams et al., 2018). To first assess the efficacy of CRISPR-Cas9 mutation on predicted cis-regulatory regions, we assayed two well characterized genes, Aristaless-like Homeobox 1 (Alx1) and the TGF-β family ligand, Nodal. Alx1 is a transcription factor that directs skeletogenesis in the embryo of the sea urchin S. purpuratus (Damle and Davidson, 2011; Ettensohn et al., 2003). Nodal is a TGF-β signaling ligand responsible for Left/Right and Dorsal-Ventral axis specification essential for the bilateral asymmetry in embryos (Aihara and Amemiya, 1999; Aihara and Amemiya, 2001; Duboc et al., 2004; Duboc et al., 2005; Flowers et al., 2004; Nam et al., 2007; Su, 2014). Importantly, Nodal signaling is also needed for the spatial restriction of germ cell factors in echinoderm embryos (Fresques and Wessel, 2018; Luo and Su, 2012). Both Alx1 and Nodal have previously been integrated into a gene regulatory network (GRN) that is well established (Damle and Davidson, 2011; Longabaugh et al., 2005; Range et al., 2007; Saudemont et al., 2010), and offer both activation and repression elements, making them tractable for initial testing of CRISPR-Cas9-mediated mutagenesis of cis-regulatory elements (Damle and Davidson, 2011; Nam et al., 2007). Since Alx1 and Nodal each regulate development through distinct pathways, and when mutated, yield unique and robust phenotypes, we reasoned that they were excellent targets for testing the efficacy of Cas9 cis-regulatory element mutagenesis (Duboc et al., 2005; Ettensohn et al., 2003). In the case of Alx1 expression, we targeted cis-elements essential for Alx1 transcription. In contrast, for Nodal expression, we targeted a predicted repressive site in the Nodal promoter and induced de-repression of Nodal gene activity.
We then applied this technology to test modification of germline gene function by targeting predicted cis-regulatory regions upstream of Nanos2. Nanos2, the sea urchin ortholog of the PGC-specific RNA binding protein Nanos, is a potent translational repressor of PGCs. In collaboration with Pumilio, Nanos protein binds specific sequences in the 3’UTR of mRNAs to enable translational repression, and/or transcript degradation (Parisi and Lin, 2000; Weidmann and Goldstrohm, 2012; Weidmann et al., 2016). The result of Nanos2 directed translational repression and degradation is the repression of somatic cell gene expression (Irish et al., 1989; Lai et al., 2012), formation of a developmental gradient (Kobayashi et al., 1996), and induction of quiescence within PGCs (Oulhen et al., 2017). Each of these Nanos dependent functions are essential for PGC identity and maintenance in all species tested.
Earlier work revealed that Nanos2 is essential for PGC maintenance in the sea urchin, S. purpuratus, and that its mRNA and protein both accumulate specifically within PGCs (Juliano et al., 2010; Oulhen et al., 2013; Wessel et al., 2014). Remarkably, Nanos2 overexpression in the sea urchin embryo has not been possible because of highly selective post-transcriptional and post-translational mechanisms (Campanale et al., 2019; Oulhen and Wessel, 2016b; Oulhen et al., 2013). We tested here genomic sequences of interest that contribute to its expression using conventional GFP-reporter assays as well as newly developed Cas9-mediated cis-element mutagenesis.
Materials and Methods
Animal Care, Embryo Injection and Culturing
Adult S. purpuratus animals were supplied by Pete Halmay of Pt. Loma Marine Invertebrate Lab (Lakeside, CA, email: peterhalmay@gmail.com). Animals are housed in 35ppt artificial seawater at 16 °C. Zygotes are injected via capillary needle, pressurized using an Eppendorf femtojet for injection of all constructs (Yaguchi, 2019). Embryos were cultured in filtered seawater collected from Woods Hole, Massachusetts, in Corning Nunc® IVF dishes at 16° C in a benchtop incubator. At designated stages of development, 50 embryos were collected for qPCR assays, several hundred for RNA in situ hybridization, and ten of each group for genotyping and PCR analysis for mutation efficiencies.
Analyses of Sequence Conservation
Binding Site Prediction.
For Alx1 and Nodal cis-regulatory analyses, minimum upstream regulatory sequences needed to drive specific expression were referenced from previous publications (Damle and Davidson, 2011; Nam et al., 2007). For Nanos2 cis-regulatory analyses, predicted transcription factor binding sites were chosen based on previous data from CHIP-qPCR analyses (Oulhen et al., 2019). All binding site motif predictions for Alx1, Nodal, and Nanos2, were performed using TFsiteSCAN software with parameters for validated amphibian transcription factor binding site data (http://www.ifti.org/cgi-bin/ifti/Tfsitescan.pl). All sequences were .FASTA files accessed from Echinobase.org, S. purpuratus genome version 3.1 (http://www.echinobase.org/)(Cameron et al., 2009).
Analysis of Sequence Conservation.
Conservation of echinoderm sequences in upstream regions was performed using MussaGL software (http://mussa.caltech.edu/mussa/wiki/MussaglBuild), accessed from Caltech.edu (Haeussler and Joly, 2011). MUSSA (multiple species sequence analysis) utilizes sliding windows to analyze conserved sequences between two sequences of DNA. For Nanos2 promoter analysis, alignments between S. purpuratus and H. pulcherrimus were conducted, as well as MussaGL analysis of the three different Nanos genes (Nanos1, Nanos2 and Nanos3) with genomic sequences from S. purpuratus. All genomic sequences were obtained from EchinoBase.org, S.purpuratus genome version 3.1(http://www.echinobase.org/Echinobase/jbrowse/).
CRISPR-Cas9 targeting genomic sites
gRNA design and synthesis.
gRNAs were designed using CRISPRscan (https://www.crisprscan.org/) software, and only those with no predicted off-target binding sites in the genome were selected for use in this study (Moreno-Mateos et al., 2015). For Alx1 and Nodal, the promoter region had been established in previous publications (Damle and Davidson, 2011; Nam et al., 2007). For Nanos2, an upstream region was selected from the 2.5kb of upstream genomic sequence. Genomic sequences upstream of genes Nodal, Alx1 and Nanos2 were retrieved from Echinobase.org, using the S.purpuratus genome version 3.1 (http://www.echinobase.org/Echinobase/). CRISPRscan guide RNAs were ordered as synthetic oligos from Eurofins.com with an accompanying tailing sequence described in CRISPRscan.org (Moreno-Mateos et al., 2015). DNA templates with a T7 promoter were generated using Gotaq Green Master Mix (Promega). gRNAs were synthesized following the Megashortscript T7 transcription kit from ThermoFisher and purified using Qiagen RNA column reagents (microRNA cleanup kit, Qiagen). Cas9 mRNA (1ug) and a pooled mixture of promoter-targeting gRNAs (2ug) were combined in a 1:2 ratio by mass and diluted with nuclease-free H2O and 10,000 MW dextran conjugated to Alexa Fluor 488 (Thermofisher) to a final concentration of 500ng/uL for injection into fertilized zygotes of S. purpuratus, (n=200 for each injection experiment) using parameters described (Yaguchi, 2019).
Overexpression of dCas9-VP64.
For use in echinoderm embryos, a synthetic FLAG VP64dCas9 in an expression plasmid was generated using Gibson assembly. For the fusion protein, the dCas9 sequence contained in the pcDNA-dCas9-VP64 Plasmid #47107 from Addgene (Addgene.com) was used as a template. The plasmid backbone for cloning was PCS2-GFP with an SP6 transcription site, and poly-A signal for mRNA expression in echinoderm embryos. For these experiments, mRNA of the dCas9VP64 fusion was injected in either a 1:2 ratio to gRNAs, or a 1:5 ratio by mass. Each of these experiments is denoted in subsequent analysis as “1:2” or “1:5.” The intact Cas9 mRNA and gRNA used in previous experiments was included as a positive control for Cas9/gRNA functionality.
Analyses of Genomic Mutations
Mutation identification, and gRNA efficiency calculations.
To determine efficiency of Cas9 mutation with each gRNA, individual embryos were collected in 200uL PCR tubes. Mutant and control embryos were collected in separate tubes and lysed in 12uL QuickExtract DNA extraction buffer from Lucigen.com. Individual lysates were run in a standard PCR cycle, using platinum Taq reagents from ThermoFisher. 10ng of purified PCR products were cloned into the PGEMT-EZ vector and transformed into XL1 E. coli for subsequent blue-white selection. From each single embryo, sequences representative of 7–10 colonies were analyzed to determine mutation efficiencies for each gRNA from DNA clones (Figure 1).
TIDE analysis.
Single embryo PCR products were isolated using standard column DNA purification reagents and were Sanger sequenced as a population with the primers used to generate the PCR product. These sequences represented a mosaic of the mutant embryo. For TIDE analysis, spectral data (.ab1) files were downloaded and organized into Cas9 only (control spectra), and Cas9+gRNA spectra for three embryos selected at random (experimental). For visual analysis of mutations, spectra were aligned in SnapGene software (Figure 1). For quantification of mutations, the first gRNA sequence within the amplicon was entered into the TIDE web app (https://tide.nki.nl/) with an alignment region set to maximum boundaries, and p-value threshold at <0.001 for indel detection (Brinkman and van Steensel, 2019). For quantification of spectral decay following the gRNA cut site, the same parameters were used (Brinkman et al., 2014).
Expression Quantification by qPCR
For each cis-element analysis, the qPCR results represent the average expression level over 50 injected embryos. For CRISPR-Cas9 mutagenesis, 10,000 MW dextran conjugated to Alexa Fluor 488 (Thermofisher) is used as an injection indicator, and healthy embryos (N=50) were selected by green fluorescence. RNA was prepared using Qiagen RNeasy micro kit reagents (cat. 74004), and cDNA synthesized using the MAXIMA cDNA synthesis kit from ThermoFisher (cat.K1671). qPCR was performed in the Applied Biosystems 7300 real-time system, using SYBR green/ROX 2X Mastermix from ThermoFisher (cat. vFERK0222). All qPCR experiments are aliquoted in 96-well plates, with triplicate reactions for each sample. qPCR reactions are analyzed using the AB sequence detection software (version1.4) and Delta-Delta CT analysis for expression of each gene is performed relative to Cas9 injected control samples. Fold change is relative to a ubiquitin control primer, and significance is calculated using two-tailed t test. All FC values and p-values are reported using PRISM software (Figure 1).
Imaging and Image Analysis
Expression, Localization, Intensity, RNA in situ hybridization.
Whole-mount in situ hybridization of embryos is performed using previously published protocols (Arenas-Mena et al., 1998). Probes were generated with primers against the cDNA for the respective gene, with an added T7 promoter site and targeted an amplicon of 800–1000 bp. The PCR product was purified, and probes were synthesized using the Roche digoxygenin labelling kit (cat. 11277073910). A sense probe was generated as a negative control. RNA hybridization was developed using an anti-Dig alkaline phosphatase-conjugated-Fab fragment, Sigma (cat. 11093274910). Antibody staining imaged on an inverted light microscope using NBT/BCIP for chromogenic WMISH. Probe signal was quantified using min/max, mean grey values through imageJ software (Figure 1).
Immunofluorescence.
Immunofluorescence of Alx1 and Nodal promoter mutant embryos was performed using previously published protocols. First, injected embryos at desired timepoints were collected and fixed in either ice-cold methanol, or 4% PFA in seawater. Primary antibodies used were Anti Phospho-Smad 1/5/8, Rabbit monoclonal (Cell signaling, cat# 9516), and EctoV (marker of oral ectoderm) mouse monoclonal, a generous gift of Dr. David R. McClay (Duke University. Durham, North Carolina. dmcclay@duke.edu). Antibodies to Vasa were used as previously described (Voronina et al., 2008). Secondary anti-rabbit 488 (Invitrogen, cat#A32731) and anti-mouse 594 (Invitrogen, cat#A32742) were used to visualize protein localization. All images were taken on a Nikon CSU-W1 confocal microscope. Localization and intensity of signal was quantified using imageJ software.
EctoV Immunofluorescence.
48hpf Nodal promoter mutant, and Cas9 only injected embryos were fixed in ice-cold methanol for 10 minutes, and immunolabeled as described above. EctoV signal was visualized using anti-mouse 594 secondary (Invitrogen, cat#A32742). Images taken with Nikon CSU-W1 confocal microscope were saved as .TIFF image files for import into ImageJ software. Thirteen images each of Nodal mutant and Cas9 only embryos in the same orientation (presumptive oral-aboral axis visible) were quantified. First, visible ectoderm was measured as a perimeter (arbitrary units, relative to scalebar). Then, the visible ectodermal surface with EctoV+ signal (magenta, over threshold defined from secondary only control image) was measured as a second perimeter value. These two values were then used to create an “EctoV+” percentage value for each embryo. An average percentage of the EctoV+ surface for all embryos in each group are reported as a table, as well as the individual EctoV+ surface normalized to embryo size as individual points on a Scatter plot. P-values were determined by a standard two-tailed t-test on the mean percent of each group.
Nanos2 GFP reporter injections
S. purpuratus or H. pulcherrimus Nanos2-promoter GFP constructs were made as described (Yajima et al., 2010). Sm50 reporter construct was used as a positive control (Makabe et al., 1995). Briefly, primers were designed within the desired upstream or downstream region of Nanos2 using sequences retrieved from Echinobase.org (http://www.echinobase.org/Echinobase/) to PCR-amplify the fragment of interest. For HpNanos2, PCR-based genome walking was also performed to identify the upstream and downstream sequences (Triglia et al., 1988). Each fragment was then cloned into the pGreenlantern1 vector (GIBCO, BRL) to construct GFP-fusions. These constructs were injected as described previously (Yajima et al., 2007). Approximately, 6 pl of 6 ng/μl GFP reporter construct linearized with SacI and 20 ng/μl genomic DNA as a carrier were injected into fertilized eggs (McMahon et al., 1985). Expression of GFP was detected and analyzed at the desired developmental stage under the fluorescence microscope (Zeiss, Axioplan).
Results
Mutations in the basal promoter of Alx1 transcription produce skeleton defects
Aristaless-Like Homeobox 1 (Alx1) is a transcription factor that is broadly conserved across diverse phyla (Ettensohn et al., 2003; Khor and Ettensohn, 2017). In sea urchins, Alx1 is a potent inducer of skeletogenic mesenchyme and has well established upstream cis-regulatory sites required for its transcription (Damle and Davidson, 2011; Ettensohn et al., 2003). Four gRNAs were designed, targeting known regions of function near the transcription start site. Two gRNAs were generated targeting the first 50 bp of the basal promoter region, one targeting −183 bp, which has an established HesC binding site, and the fourth targeting −279 bp from the TSS as it defined the boundary of the minimum essential upstream region required for Alx1 transcription (Figure2S). Cas9 mRNA was mixed with each of the gRNAs in a 1:2 ratio by mass, and the workflow was followed as described in Figure 1. Across four independent matings, a significant 2–3 fold decrease in Alx1 mRNA was observed relative to Cas9 only injected controls by qPCR assay of n=50 embryos (Figure 2A). Embryos with a mild phenotype often had one defective spicule, sometimes confined to only one side of the embryo (Figure 2D, arrowhead). In other embryos with a “mild” phenotype, skeletal elements were visible, but abnormal; they displayed a ratio ≤ 3.7 to 1 to the dorsoventral connecting rod, in contrast to the average 5:1 ratio observed in Cas9 only control embryos (Figure S1).
Using an antibody against nuclear phosphorylated Smad1/5/8 (pSmad1/5/8), PMC number and distribution was assessed by immunofluorescence (Lapraz et al., 2009). Alx1 promoter knockout embryos displayed reduced pSmad+ PMCs when viewed both anteriorly, and from the ventral surface (Figure2 H, I) relative to Cas9 only embryos when viewed in the same orientations (Figure 2J, K). Further, to quantify defects in PMC skeletogenic mesenchyme fate, late gastrula (48hpf) embryos were collected, just before spicule elaboration. The PMC-specific transcript, spicule matrix protein 50 (Sm50) was assayed by in situ RNA-hybridization, as it is a marker of skeletogenic mesenchyme fate, downstream of Alx1 (Cheers and Ettensohn, 2005). An antisense RNA probe against sea urchin Sm50 was visualized using chromogenic WMISH, and a distinct lack of Sm50+ PMCs is apparent at 48hpf, relative to Cas9 only injected control embryos from the same mating (Figure 2L–Q).
All of the phenotypic analyses of Alx1 mutant embryos and gRNA efficiencies are summarized in tabular form (Figure 2R), with a breakdown of the mild and severe phenotypes observed, which correspond to the representative embryo images in Figure 2B–G. Sequence analysis of genomic DNA (Supplement Figure 1) revealed consistent mutations that correlated to both decrease in transcription in qPCR at 18hpf (Figure 2R, S), and the severe phenotype of no skeletogenesis at 72hpf (Figure 2B–G). The causal mutation which resulted in severe skeletogenic defects was induced by gRNAs 2 and 5, cutting as a pair. From Sanger sequencing data of individual embryos, integrated with the qPCR data, an Alx1 promoter map was constructed showing the causal mutation associated with severe skeletogenic defects (Figure 2S). Mutation within the targeted basal promoter site resulted in an absence of skeleton and this phenotype was observed across 4 independent experiments. Thus, we concluded that mutation of cis-regulatory sites needed for transcription can produce robust phenotypes in the sea urchin embryo.
Mutation of a repressor site induces overexpression of Nodal
Nodal is responsible for the establishment of the Left-Right embryonic axis, as well as Dorsal-Ventral polarization of the late gastrula (48hpf) and prism (72hpf) stage sea urchin embryo (Duboc et al., 2004; Duboc et al., 2005; Flowers et al., 2004; Yaguchi et al., 2010). Previous results also implicated Nodal in restriction of germline gene expression (Fresques and Wessel, 2018; Luo and Su, 2012) as well as left-side restriction of germline genes such as Nanos2. Previously, the upstream region of Nodal was interrogated for regulation of Nodal by use of a reporter construct, which found both cis-activator and repressor sites (Nam et al., 2007). Our goal was to target discrete sites within this promoter region of the genome through Cas9 mutagenesis, and to assess associated phenotypes, if any (Duboc et al., 2005; Flowers et al., 2004; Range et al., 2007).
For targeting the region upstream of Nodal, three gRNAs flanking a repressive Hes/ETS-1 binding site (predicted from TFsiteSCAN software), one at the core promoter −76 bp from the TSS, and three more within the bounds of the previously established promoter region used in the previously published reporter assays were selected (Figure 3H). Cas9 mRNA was mixed with seven gRNAs as described in Figure 1. Among n=50 embryos, significant upregulation of Nodal transcript between 2- and 8- fold was observed in three independent experiments via qPCR (Figure 3A). Importantly, across three independent matings, we observed a range in severity of the Nodal overexpression following Hes/ETS-1 site knockout.
Phenotypic analysis revealed a diversity of mutant phenotypes, with gut and dorsal-ventral axis defects ranging from mild to severe when compared to non-injected and Cas9 only injected control embryos from the same experiment (Figure 3B–G). All resulting phenotypic effects of Nodal promoter mutation observed are summarized in tabular form (Figure 3I), divided by severity of the Nodal overexpression phenotype. Sequencing of amplicons from individual embryos with severe phenotypes identified the corresponding mutation within the Hes/ETS-1 motif. This mutation was produced by site mutation of gRNAs 1,5, and 6, as a group. The causal mutation observed in the Hes/ETS-1 motif is shown inset to the map of the Nodal promoter, with resultant Nodal overexpression at the TSS (Figure 3H). Efficiencies of mutation at each site in the promoter are summarized in tabular form in Figure 3J. Importantly, the Nodal overexpression phenotypes observed included a significant loss of pSmad1/5/8 signal in 48hpf gastrula stage embryos, viewed across both anterior-posterior and dorsal-ventral axes (Figure3K–N). This is consistent with a previous publication that reported Nodal signaling as antagonistic to BMP2/4 dependent nuclear pSmad1/5/8, in multiple cell types at 48hpf (Luo and Su, 2012).
Finally, Nodal overexpression by deletion of an Hes/ets-1 site led to a loss of oral-aboral patterning at 48hpf and 72hpf. To quantify this phenotype, a marker of oral ectoderm, EctoV was visualized using immunofluorescence (Figure 4A–D) (Coffman and McClay, 1990; Flowers et al., 2004; Hardin et al., 1992). EctoV signal was not confined to the flattened, ventral side of developing Nodal promoter mutant embryos, as is normally observed (Angerer et al., 2001; Hardin et al., 1992). In the Nodal de-repressed mutants, EctoV was instead broadly expressed across most of the ectodermal surface at 48hpf (Figure 4A–D). This result was found to be significant across (N=13; Nodal promoter mutant and Cas9 control) embryos at 48hpf. Interestingly, another distinct phenotype resulting from Nodal de-repression was a clustering of pigment cells in the apical-most region of the embryo. To quantify this phenotype, embryos were divided into quadrants delineating four asymmetric regions visible at the 48hpf gastrula stage. When quantified, a significant over-enrichment of pigment cells within Quadrant 1, the apical-anterior-most ectodermal surface of the embryo was observed, when compared to Cas9 only injected controls (Supplemental Figure 2).
Overexpression of Nodal by VP64-dCas9
We leveraged the result of defined gRNA sites of known efficiency upstream of the Nodal locus to test the ability to overexpress endogenous Nodal mRNA using the transcriptional activator VP64, fused to a nonfunctional (dead)-Cas9 (Konermann et al., 2015). We used the same promoter-targeting mixture of gRNAs plus dCas9-VP64 mRNA (Figure 5A). With this experiment, we sought to test whether dCas9-VP64 targeted to predetermined regions upstream of the Nodal 5’UTR could induce an increase in gene transcription. We assessed the impact of dCas9-VP64 on Nodal overexpression by measuring Nodal mRNA and known downstream targets of Nodal (Duboc et al., 2008; Duboc and Lepage, 2008; Fresques and Wessel, 2018). Two independent experiments were conducted, testing both a 2:1 mass ratio and a 5:1 mass ratio of gRNA/ dCas9-VP64 mRNA for efficacy. In both experiments, Nodal was significantly overexpressed using dCas9-VP64 relative to control (Cas9 mRNA) injected embryos by qPCR (Figure 5B). To assay Nodal overexpression indirectly, its direct downstream target, Lefty, was assayed, and found to be significantly upregulated relative to controls in the 1:2 mass ratio experiment (Figure 5C). Finally, the germline genes Nanos2 and Vasa were assayed in response to dCas9-VP64 induced Nodal overexpression at 18hpf. Nanos2 was significantly overexpressed 2.5-fold relative to controls, while Vasa expression was increased only 1.4-fold (Figure 5D). Overexpression of Lefty, and the significant effects on germline gene expression were only observed in the dCas9:VP64 mixed in a 1:2 ratio with gRNAs targeting the Nodal promoter. These results demonstrate that using experimentally validated gRNAs, a dCas9-VP64 construct can be used successfully to activate cis-regulatory regions for a gene of interest, providing additional strategies to control gene transcription in the sea urchin embryo, and give insight into what mass ratio is needed for efficient transcriptional manipulation by dCas9 in the sea urchin.
The Nanos2 promoter drives broad expression of a GFP reporter in sea urchin embryos
We next sought to identify potential cis-regulatory regions driving Nanos2 transcription. First, to dissect functionality of a noncoding region upstream of Nanos2, we made four reporter constructs containing between 1–3 kb of Sp-Nanos2 upstream sequence, each of which was fused to a GFP reporter (Figure 6A). Each construct was injected into zygotes of S.purpuratus, and the GFP expression in the resultant embryos was classified as either within the small micromere (Smms) derived cells alone, or ectopic (in non-Smm lineages). Smms give rise to the PGCs, and large micromeres (Lmm) give rise to the primary mesenchyme cells (PMCs), which form skeleton. Thus, endogenous Nanos2 expression is restricted to the Smms, and its mRNA is not observed in the PMCs nor other cell types via in situ hybridization (Juliano et al., 2006). These reporter constructs seldom produced GFP expression within only the PGCs (less than 4% of the embryos had PGC-specific GFP). The most common expression pattern observed in all four experiments was GFP within PMCs as well as PGCs and in varied cells of the ectoderm or endoderm (Figure 6B). Embryos with varying GFP reporter activity in all cells were quantified for each construct (figure 6D–F). Expression outside of the Smms appeared to be independent of the length of upstream sequence fused to GFP, as no significant difference in GFP expression localization was observed between the four constructs (Figure 6B). In gastrulae, the vast majority of GFP expression driven by upstream Nanos2 DNA was not restricted to the Smms (Figure 6G, H). As a control for these experiments, we tested a known, tightly cell-specific GFP reporter; the previously validated Sm50 promoter GFP fusion construct (Makabe et al., 1995). In these experiments, SM50-GFP reporter activity was observed strictly within the PMCs (Figure 6I–K), a result in stark contrast to Nanos2-GFP expression.
Importantly, these Sp-Nanos2 upstream regions drove similar broad expression patterns even in another sea urchin species, Lytechinus variegatus (Lv) (Figure S3), suggesting that these cis-elements might be conserved, and function similarly in both species. Additionally, for both the 3kb linearized GFP reporter construct, and the 1kb PCR amplified reporter construct, only 3.5% of Lv embryos demonstrated PGC-specific expression. The Nanos2 upstream region of a related sea urchin species, Hemicentrotus pulcherrimus (Hp) was also back-tested in S. purpuratus embryos. For this experiment, a 6.3kb upstream region of Hp-Nanos2 was used as it was shown to be highly conserved with the Sp-Nanos2 upstream region via MussaGL analysis (Figure S3). GFP was again predominantly observed ectopic to PGCs independent of the length of the upstream region cloned, or presence/absence of UTRs (FigureS3F). Together, these data indicate that the region upstream of Sp-Nanos2 is conserved within related sea urchin species (Figure S3), and while capable of driving similar expression patterns in cross-species injection experiments, it is not capable of driving PGC-specific expression of a GFP reporter in either S.purpuratus or L.variegatus embryos. Rather, these data indicate the upstream sequence alone is not sufficient to drive Nanos2 PGC-specific expression. Further, the conservation of this upstream sequence, at most, may be responsible for a relatively broad expression pattern in blastula stage embryos (18–24hpf).
Discrete cis-regulatory elements upstream of Nanos2 are needed for its transcription in sea urchin embryos
Following the Nanos2 GFP-reporter experiments, we sought to test directly in genomic DNA if any specific regions within the upstream sequence might influence Nanos2 transcription. We used the same Cas9-promoter mutagenesis approach (Figure 1), and designed gRNAs to assay whether we could alter transcription of Nanos2 by deleting predicted sites in vivo. We targeted putative Forkhead-box and Tcf/Lef binding sites, as these have been shown to influence Nanos2 transcription (Figure S4). In total, 9 gRNAs were tested for upstream deletions that might lead to Nanos2 transcriptional perturbation, and those responsible for the two essential mutations are reported (Figure 7A). Mutagenesis of putative transcription sites were tested in experiments from three independent matings. The mutations were first identified by single embryo PCR, and TIDE analysis (Figure 1; Figure S5). Two arrowheads denote the gRNAs responsible for the two most common mutation sites identified via TIDE analysis, and Sanger sequencing (Figure 7A). The first arrowhead denotes the first detected mutation, identified via TIDE analysis, −1700 bp upstream of the TSS, corresponding to the cut site of gRNA 61 (Figure 7D). The second arrowhead denotes the mutation of the FoxY binding site identified via sequencing of genomic DNA from single embryos selected at random from experiments with decreased Nanos2 expression at the 18hpf blastula stage. The overall mutation efficiencies for both mutations identified via sequencing of individual embryos selected at random are summarized in Figure 7B. In three independent experiments, Nanos2 mRNA decreased 2-fold relative to Cas9-only controls (Figure 7C). Sanger sequencing of genomic PCR fragments isolated from individual embryos identified deletions between gRNA 4 and gRNA 33, which corresponded to a significant downregulation of Nanos2 at 18hpf blastula stage. Importantly, this deletion was within a predicted FoxY binding site −1000 bp upstream of the Nanos2 TSS, that was also a site of open chromatin at both 18hpf, and 24hpf as implicated by ATAC-seq data (Figure 7G; Figure S4). In each experiment, deletions at the first gRNA site −1700 bp upstream were observed (Figure S5), as well as a deletion that ranged from 12 bp to 75 bp, which removed a predicted FoxY binding site (Figure 7G). None of these mutations disrupted the spatial restriction of Nanos2 expression, but they did decrease mRNA signal observed via in situ RNA hybridization (Figure 7E, F). Collectively, these results, paired with the GFP-reporter constructs,suggest that the ~2kb of Nanos2 upstream sequence tested is necessary for driving Nanos2transcription, but does not provide PGC-specific spatial restriction. We hypothesize that, consistent with our previous findings, the spatial regulation of Nanos2 transcript is more likely a product of post-transcriptional mechanisms in this embryo (Oulhen et al., 2013; Oulhen 2016).
Discussion
Building a GRN by identifying cis-regulatory sequences for a gene of interest using reporter assays can be a time-consuming process (Damle and Davidson, 2011; Makabe et al., 1995). In this study, we instead tested a strategy of promoter mutagenesis to determine if Cas9 mutation of predicted regulatory sequences may be used for the identification of cis-regulatory sites. With the simplicity in time and cost of gRNA synthesis, one can test many sites predicted for transcriptional regulation, and rapidly validate mutations of these sites simply by genotyping individual sea urchin embryos (Oulhen and Wessel, 2016a). While large segments of DNA may be important to test, for which reporter gene constructs may be ideal (Makabe et al., 1995; Revilla-i-Domingo et al., 2004), the Cas9-promoter approach paired with TIDE and qPCR, is rapid and efficient for validation. Here, we demonstrated Cas9 promoter analyses of the Alx1 upstream HesC site, the Nodal predicted HES/ets-1 repressor site, and the Nanos2 predicted FoxY binding site, which all produced unique phenotypes and implications for genomic cis-regulation. For further transcriptional analyses, we also demonstrated dCas9-VP64 transcriptional activation for overexpression of endogenous Nodal, and its downstream effector, Lefty (Duboc et al., 2008). In this case, a dead Cas9 enzyme is used to target gene activity, instead of mutating a region of DNA (Konermann et al., 2015). Such application opens a strategy of transiently activating specific gene expression, or with use of a repressor domain linked to deadCas9,repressing gene activity during early embryogenesis, with assurance that later development may proceed with a wild-type genome. Overall, we found a highly efficient method for mutating cis-regulatory regions of interest to alter gene transcription by either reducing expression through mutation of cis-activation sites (Alx1, Nanos2) or by increasing expression through mutation of cis-repressive sites (Nodal). This approach opens the possibility of rapidly annotating smaller mutations of cis-elements in a gene, especially now, with high fidelity Cas9-PRIME (Anzalone et al., 2019). In comparison to current approaches using reporter gene constructs, morpholino-based knockdown, or mRNA overexpression strategies, this Cas9-promoter targeting approach relies only on the endogenous transcriptional activity, in the context of the genome anatomy, and not on random integration of multiple copies of exogenous DNA. The resultant phenotypes also are independent of artifactual misexpression of signaling molecules, which result by injection of mRNAs into zygotes that may have dramatic, but non-physiological outcomes. The transcriptional effects reported here are instead the result of manipulating endogenous gene activity. The Cas9-promoter approach also allows for more rapid and higher fidelity tests of gene regulatory mechanisms than classical reporter-construct based approaches. These approaches are applicable for embryos of diverse species.
We used a multimodal approach here to assess functionality of upstream noncoding regions of Nanos2 by mutating several predicted cis-regulatory sites, as well as supplementing these analyses with GFP-reporter construct injections in multiple species of sea urchin. These data, demonstrate that based upon the upstream sequences alone, Nanos2 is readily transcribed in several cell lineages in the 18hpf and 24hpf embryo. Our data suggest that the noncoding genomic sequences we tested here are functional, needed to drive Nanos2 expression, but not necessarily in a PGC- restricted pattern. Instead, taken together with previous findings, we hypothesize that the spatial specificity of Nanos2 mRNA and protein accumulation in this embryo likely relies more on post-transcriptional and post-translational selectivity. Mechanisms exist to restrict Nanos2 accumulation within PGCs via selective mRNA degradation outside of the germline directed by a 3’UTR GNARLE sequence, and post-translationally by a combination of stability and lability motifs within the protein itself (Oulhen and Wessel, 2014, 2016b). When integrating this new cis-regulatory data with our previous findings, we conclude that Nanos2 expression relies on a strong, promoter-driven expression of Nanos2 in multiple cell types, paired with high-fidelity, post-transcriptional degradation to result in the highly restricted PGC-specific expression.
In the future, Cas9-targeted cis-element testing is a tractable, and robust method for studying native gene transcription. However, while the Cas9-promoter method does yield rapid mutagenesis results, and is fine-tunable to predicted sites, a caveat is that the targeted region must contain a PAM sequence, “NGG,” for Cas9 enzyme cleavage of DNA (Moreno-Mateos et al., 2015). This restriction limits the approach from targeting regions that are often AT-rich. Additionally, a high-efficiency gRNA with no off-target sites, a suitable “NGG,” and functionality in-vivo is not guaranteed for every predicted cis-regulatory site of importance (Moreno-Mateos et al., 2015). To increase the fidelity of this approach in the future, further tests will employ alternative gene editing enzymes with differing targeting capabilities. We plan to establish genome-editing technologies in the sea urchin using the enzyme Cpf1, which instead utilizes a “TTN” motif for cutting, and is thus better suited to editing AT-rich regions (Safari et al., 2019). Finally, future studies may now also include CRISPR-Cas9 PRIME editing system, which induces a more specific, targeted nucleotide change (Anzalone et al., 2019) for high-stringency, single nucleotide, cis-element testing.
Supplementary Material
We seek to test gene function by CRISPR-Cas9 editing of cis-regulatory sequences
Targeting cis-regulatory sites enables unique control over endogenous transcriptional levels
We optimize this approach using the well annotated test genes, Alx1 and Nodal.
Specific accumulation of Nanos2 in the germ line appears largely post-transcriptional
Acknowledgements:
The authors are grateful for, and acknowledge the support for this work from the National Science Foundation (1923445 to GMW) and the National Institutes of Health (9RO1GM125071 and 1R01GM132222 to GMW and 1P20GM119943 to NO. We also acknowledge the Ethiopian Biotechnology Institute of Addis Ababa University for travel support of MD. The EctoV (marker of oral ectoderm) mouse monoclonal antibody was a generous gift of Dr. David R. McClay (Duke University. Durham, North Carolina. dmcclay@duke.edu). A.P. also acknowledges valuable discussions with Cheng-Yi Chen about Nanos and germline gene transcription (Stowers Medical Institute, KS).
Footnotes
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