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eLife logoLink to eLife
. 2021 Feb 12;10:e65552. doi: 10.7554/eLife.65552

Precise base editing for the in vivo study of developmental signaling and human pathologies in zebrafish

Marion Rosello 1,2, Juliette Vougny 2, François Czarny 1, Marina C Mione 3, Jean-Paul Concordet 4, Shahad Albadri 1,, Filippo Del Bene 1,2,
Editors: Tanya T Whitfield5, Richard M White6
PMCID: PMC7932688  PMID: 33576334

Abstract

While zebrafish is emerging as a new model system to study human diseases, an efficient methodology to generate precise point mutations at high efficiency is still lacking. Here we show that base editors can generate C-to-T point mutations with high efficiencies without other unwanted on-target mutations. In addition, we established a new editor variant recognizing an NAA protospacer adjacent motif, expanding the base editing possibilities in zebrafish. Using these approaches, we first generated a base change in the ctnnb1 gene, mimicking oncogenic an mutation of the human gene known to result in constitutive activation of endogenous Wnt signaling. Additionally, we precisely targeted several cancer-associated genes including cbl. With this last target, we created a new zebrafish dwarfism model. Together our findings expand the potential of zebrafish as a model system allowing new approaches for the endogenous modulation of cell signaling pathways and the generation of precise models of human genetic disease-associated mutations.

Research organism: Zebrafish

Introduction

With the recent technological advances in precise gene editing, the use of zebrafish in genetic engineering studies has drastically increased in the last 5 years (Patton and Tobin, 2019; Santoriello and Zon, 2012). The CRISPR (clustered regularly interspaced short palindromic repeats)/Cas9 system is indeed a remarkably powerful gene-editing tool (Sander and Joung, 2014) that enables the rapid and efficient generation of loss-of-function mutations in this animal model. This system relies on the specific binding of a sgRNA-Cas9 complex that initially interacts with DNA 20 base pair (bp) upstream of a NGG protospacer adjacent motif (PAM) sequence that triggers the Cas9 protein to introduce a double-strand break (DSB). This technique is nowadays widely used in zebrafish notably to produce knock-out alleles (Hwang et al., 2013), and more recently, it has also been demonstrated that CRISPR/Cas9-mediated homology-directed repair (HDR) can be used to introduce exogenous DNA and single-nucleotide polymorphisms (Prykhozhij et al., 2018; Tessadori et al., 2018; Wierson et al., 2020).

Recently, a CRISPR/Cas9-based technology has been developed to precisely edit single bases of DNA without introducing DSBs in human cells (Koblan et al., 2018; Komor et al., 2016; Komor et al., 2017). The method is based on the fusion of a Cas9-D10A nickase with a cytidine deaminase giving rise to a cytidine base editor (CBE). CBE converts C-to-T bases in a restricted window of 13–19 nucleotides (nt) upstream of the PAM sequence (Figure 1A). In zebrafish, a CBE was shown to work but with limited efficiencies, inducing less than 29% of gene editing and, in most cases, at least 5% of unwanted INDEL (insertion or deletion) mutations were also detected (Carrington et al., 2020; Zhang et al., 2017). For these reasons, this editing strategy has not been so far favored by the zebrafish community. However, since this first generation of CBEs, several studies in cell culture have optimized and engineered new base editor variants with increased gene-editing efficiency reaching up to 90% without creating undesired INDEL mutations (Koblan et al., 2018). A recent study reported the use of a second-generation CBE to generate a zebrafish model of human ablepharon macrostomia syndrome (Zhao et al., 2020).

Figure 1. Efficient endogenous activation of Wnt signaling pathway and tumor suppressor genes targeting using BE4-gam in zebrafish.

(A) Schematic representation of the cytidine base editor technology. (B) Activation of Wnt signaling via S33L mutation in β-catenin. 1 dpf Tg(7xTCF-Xla.Siam:GFP) representative embryos injected with BE4-gam mRNA and ctnnb1 (S33L) sgRNA or control scrambled sequence. The upper panel shows an overall increase of GFP-positive cells in the head/anterior region upon the injection of the BE4-gam mRNA and ctnnb1 (S33L) sgRNA compared to the control situation. The lower panel shows maximal z-projection of lateral view of the injected embryos where ectopic GFP signal in retinal progenitor cells (white stars) can be detected, whereas control embryos do not show any fluorescence in the retina at this stage. (C–G) DNA sequencing chromatogram of targeted loci with the BE4-gam and obtained C-to-T conversion efficiencies. The chromatograms correspond to the highest efficiency reported for the single embryos analyzed as detailed in Table 2. (C) S33L mutation in β-catenin upon C-to-T conversion in ctnnb1 reached 73% of gene-editing efficiency. The other edited C led to a silent mutation GAC (D) to GAT (D). (D) Q94* mutation in Tek upon C-to-T conversion in tek reached 18% of gene-editing efficiency. (E) Q273* mutation in Bap1 upon C-to-T conversion in bap1 reached 14% of gene-editing efficiency. (F) Q21* mutation in p53 upon C-to-T conversion in tp53 reached 73% of gene-editing efficiency. (G) Q170* mutation in p53 upon C-to-T conversion in tp53 reached 86% of gene-editing efficiency. For (C) and (E), the reverse complement of the sgRNA sequence is shown. Scale bars: (B) 50 µm. (D–G) Numbers in the boxes represent the percentage of each base at that sequence position. In red are highlighted the base substitutions introduced by base editing, while the original bases are in blue. The color code of the chromatogram is indicated in the upper left corner (Adenine green, Cytosine blue, Thymine red, Guanine black). The distance from the PAM sequence of the targeted C base is indicated below each chromatogram. It is considered that the quantifications under 5% are due to the background signal from Sanger sequencing and are thus non-significant (Kluesner et al., 2018).

Figure 1.

Figure 1—figure supplement 1. List of targeted loci.

Figure 1—figure supplement 1.

List of all the targeted loci in this study. In red are highlighted the targeted C bases, underlined are the sgRNAs and in green the associated PAM sequences. Sequences are oriented from 5’ to 3’.

Recent progress has also been made on the generation of CBEs able to recognize other PAM sequences, allowing to broaden gene-editing possibilities (Jakimo et al., 2018; Koblan et al., 2018). Thus, base editing offers a complementary and powerful approach in zebrafish to introduce specific single-nucleotide variants into the zebrafish genome. Here based on these technological advances, we optimized these second-generation gene-editing tools in zebrafish. As reported in ex vivo studies (Koblan et al., 2018), we tested different CBE variants and obtained highly efficient C-to-T conversion, reaching up to 91% efficiency without unwanted mutations and expanded base editing possibilities using a CBE variant recognizing the NAA PAM. Furthermore, compared to previous studies, here we used these tools to target Wnt signaling, thus proving that endogenous pathways can be modulated in their natural context. Finally, we demonstrated the power of this technology for introducing precise mutations in human cancer-associated genes with high efficiency in zebrafish and created a new fish model for dwarfism.

Results and discussion

BE4-gam base editing for the endogenous activation of Wnt signaling pathway

To date, the main strategies used in zebrafish to study the constitutive activation of signaling pathways and to dissect their role during embryonic development or tumorigenesis were based on overexpressing mutated genes. To gain further insights and to complement these studies, an important requirement is to have the ability to maintain the endogenous genetic and regulatory contexts by generating mutations of endogenous genes in vivo.

To address this challenge, we decided to introduce an activating mutation in the ctnnb1 gene coding for the key effector β-catenin of canonical Wnt signaling, a major signaling pathway during embryonic development which is activated in many cancers (Steinhart and Angers, 2018). It was previously shown that the mutation of the Serine33 of the human β-catenin protein into a Leucine prevents its degradation by the ubiquitin-proteasome system, leading to its stabilization and thereby to the constitutive activation of Wnt signaling pathway (Hart et al., 1999; Liu et al., 1999).

We first aimed at introducing this mutation in the genome of the zebrafish by using the Base Editor 4 fused to the gam domain (BE4-gam) (Figure 1A). This CBE was indeed one of the first variants of CBEs to show high efficiency of gene editing and fewer INDELs formation in cultured cells (Komor et al., 2017). We injected the BE4-gam mRNA and synthetic ctnnb1 S33L sgRNA into one-cell stage Tg(7xTCF-Xla.Siam:GFP) zebrafish embryos to directly monitor the effect of the introduced mutation on the activity of the canonical Wnt signaling (Moro et al., 2012). Upon ctnnb1 S33L sgRNA injection, we observed an increase of GFP-positive cells at 1 dpf (n = 39/50 embryos) compared to the control embryos (n = 27 embryos) resulting from three independent experiments. By confocal imaging we quantified ectopic activation of the pathway in retinal progenitor cells and observed an average of 12 GFP-positive clones per retina, while GFP-positive cells were never detected in the retina of control injected Tg(7xTCF-Xla.Siam:GFP) embryos (n = 4 each) (Figure 1B). Using this strategy, we observed base editing in five of eight randomly chosen embryos and were able to reach up to 73% of editing efficiency in single embryo analysis (Table 1, Table 2). In addition, we also observed the conversion of another cytidine within the PAM [−19, –13 bp] window leading to a silent mutation (GAC-to-GAT (D)) in four of the eight analyzed embryos with up to 74% efficiency (Figure 1C, Table 1, Table 2, Figure 1—figure supplement 1).

Table 1. Base-editing efficiency using different CBE variants.

Number of edited embryos randomly chosen after injection of CBE mRNA and sgRNA. The efficiency varies between non-detected (n.d.) and 91% depending on the targeted locus, the sgRNA, and the CBE used. Editing efficiency was quantified by editR analysis (Kluesner et al., 2018), which does not detect editing efficiency below 5%.

Targeted gene
CBE used
induced mutation
ctnnb1
(S33L)
BE4-gam
tp53
(Q170*)
BE4-gam
cbl
(W577*)
BE4-gam
kras
(E62K)
BE4-gam
Kras
(E62K)
ancBE4max
dmd
(Q8*)
BE4-gam
dmd
(Q8*)
ancBE4max
rb1
(W63*)
ancBE4max
nras
(G13S)
spymac
-ancBE4max
tp53
(Q170*)
spymac-
ancBE4max
Number of edited embryos 5/8 7/8 8/10 0/8 4/7 0/8 2/4 8/8 2/4 1/4
Highest obtained efficiency 73% 86% C16
35%
C15
50%
n.d. 19% n.d. 14% C17
91%
C16
65%
19% 16%

Table 2. Editing efficiency quantification.

Editing quantification of up to 10 single embryos randomly chosen after injection of indicated CBE mRNA and sgRNA. The efficiency varies between non-detected (n.d.) to 91% in a single embryo depending on the targeted locus, the sgRNA, and the CBE used. Editing efficiency was quantified by editR analysis (Kluesner et al., 2018), which does not detect editing efficiency below 5%.

Targeted gene
CBE used
Number of edited embryos Emb. 1 Emb. 2 Emb. 3 Emb. 4 Emb. 5 Emb. 6 Emb. 7 Emb. 8 Emb. 9 Emb. 10
ctnnb1 (S33L)
BE4-gam
5/8 C15
74%
C13
73%
C15
n.d.

C13
40%
C15
44%
C13
25%
C15
7%
C13
16%
C15
n.d.
C13
11%
n.d. n.d. n.d.
tek (Q94*)
BE4-gam
5/8 C14
18%
C13
8%
C14
10%
C13
n.d.
C14
8%
C13
n.d.
C14
6%
C13
n.d.
C14
8%
C13
9%
n.d. n.d. n.d.
Bap1 (Q273*)
BE4-gam
4/8 14% 12% 9% 8% n.d. n.d. n.d. n.d.
tp53 (Q21*)
BE4-gam
6/8 63% 33% 37% 58% 8% 50% n.d. n.d.
tp53 (Q170*)
BE4-gam
7/8 86% 46% 51% 62% 45% 20% 33% n.d.
cbl (W577*)
BE4-gam
8/10 C16
35%
C15
50%
C16
19%
C15
31%
C16
22%
C15
38%
C16
25%
C15
41%
C16
20%
C15
35%
C16
7%
C15
9%
C16
7%
C15
12%
C16
10%
C15
17%
n.d. n.d.
kras
(E62K)
BE4-gam
0/8 n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d.
kras
(E62K) ancBE4max
4/7 C17
19%
C16
21%
C17
8%
C16
11%
C17
6%
C16
8%
C17
9%
C16
10%
n.d. n.d. n.d.
dmd
(Q8*)
BE4-gam
0/8 n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d.
dmd
(Q8*) ancBE4max
2/4 14% 6% n.d. n.d.
sod2 (Q145*) ancBE4max 8/8 64% 45% 21% 54% 52% 24% 26% 33%
rb1
(W63*) ancBE4max
8/8 C19
n.d.
C17
91%
C16
65%
C19
21%
C17
79%
C16
75%
C19
n.d.
C17
27%
C16
18%
C19
13%
C17
81%
C16
60%
C19
8%
C17
48%
C16
33%
C19
13%
C17
76%
C16
64%
C19
13%
C17
78%
C16
69%
C19
21%
C17
77%
C16
63%
nras
(G13S) spymac-ancBE4max
2/4 19% 18% n.d. n.d.
tp53 (Q170*) spymac-ancBE4max 1/4 16% n.d. n.d. n.d.

With these results, we demonstrated that it is now possible to constitutively and efficiently activate important developmental signaling pathways in their endogenous context, as we show here for Wnt signaling. Furthermore, several studies have implicated the S33L β-catenin mutation in tumorigenesis, making it possible to study the role of this oncogenic mutation in cancer development in zebrafish. In order to test the potential of CBE targeting in cancer modeling, we next decided to use it to target a series of tumor suppressor genes and oncogenes using the same editing strategy applied to endogenous β-catenin.

Base-editing strategies for the generation of human cancer mutations

Zebrafish is a powerful model system to study cancer genetics in vivo (Cagan et al., 2019; Cayuela et al., 2018). However, a robust method for modeling cancer-associated mutations in zebrafish is still lacking to date. We decided to create predictable premature stop codons in tumor suppressor genes and to generate activating mutations in oncogenes of the RAS family (Li et al., 2018) in order to test the ability of CBEs to induce cancer-related mutations in zebrafish.

We first developed an automated script to rapidly detect codons allowing to generate nonsense mutations after a C-to-T conversion within the restricted PAM [−19, –13] bp editing window (Source code 1). Using this script, we designed a series of sgRNAs targeting in a selection of tumor suppressor genes. We induced the Q94* mutation in Tek in five of eight randomly chosen embryos, Q273* mutation in Bap1 in four of eight randomly chosen embryos and Q21* mutation in p53 in six of eight randomly chosen embryos as well as Q170* in p53 in seven of eight randomly chosen embryos by C-to-T conversions (Figure 1D–G, Table 1, Table 2). Among the different targeted mutations, the highest efficiency was achieved with the tp53 tumor suppressor gene, for which we reached up to 86% of C-to-T conversion for the introduction of the Q170* mutation (Figure 1G, Table 1, Table 2). To assess the presence of INDELs or unwanted mutations upon BE4-gam injections in our targets, we amplified, cloned, and sequenced all targeted loci. For tek 6 of 20, bap1 2 of 12, tp53 (Q21*) 12 of 24, and lastly tp53 (Q170*) 21 of 24 colonies showed precise C-to-T conversions, whereas all the other analyzed sequences were wild type, without any error or INDEL formation. Together these results show that, using BE4-gam, we efficiently targeted several genes implicated in tumorigenesis in zebrafish without generating any unwanted INDELs, unlike what was previously reported with the BE3 variant.

More recently, a new CBE variant, the ancBE4max, has been engineered and optimized in cell culture with increased efficiency compared to the classical BE4-gam, reaching up to 90% efficiency and very low rates of INDELs (Koblan et al., 2018). We therefore decided to use this new CBE variant to target the oncogenic mutation E62K in Kras and induce the creation of a Q8* stop codon in the Dmd tumor suppressor for which we did not obtain any C-to-T conversions or other unwanted changes using the BE4-gam in randomly chosen eight embryos for each condition (Table 1, Table 2). By co-injection of ancBE4max mRNA with the kras E62K sgRNA, we were able to introduce the E62K mutation in four of seven randomly chosen embryos and we were able to reach up to 19% of editing efficiency in single embryo analysis. Another cytidine in the editing window was also converted and led to the generation of a silent mutation (CAG-to-CAA (Q)) (Figure 2A, Table 1, Table 2). Similar to what we observed in the case of kras editing, we were able to obtain a Q8* mutation in the Dmd tumor suppressor in two of four randomly chosen embryos with up to 14% of editing efficiency (Figure 2B, Table 1, Table 2). Thus, with this new ancBE4max variant, we are able to introduce mutations that could not be achieved with BE4-gam using the same sgRNAs. Remarkable editing efficiency was also observed using this CBE for two additional targets: the tumor suppressor genes sod2 and rb1, for which, respectively, up to 64% and 91% of editing were reached and 100% of the sequenced embryos were precisely mutated (from single embryo analysis of n = 8 randomly analyzed embryos) (Figure 2C,D, Table 1, Table 2; Bravard et al., 1992; Dyson, 2016).

Figure 2. Tumor suppressor genes and oncogenes targeting by the highly efficient ancBE4max and the ancBE4max-SpymacCas9 recognizing NAA PAM.

Figure 2.

(A–F) DNA sequencing chromatogram of targeted loci with the ancBE4max (in AD) or ancBE4max-SpymacCas9 (in E,F) and obtained C-to-T conversion efficiencies. (A) E62K mutation in Kras upon C-to-T conversion in kras reached 19% gene-editing efficiency. The other edited C led to a silent mutation CAG (Q) to CAA (Q). (B) Q8* mutation in Dmd upon C-to-T conversion in dmd reached 14% of gene-editing efficiency. (C) Q145* mutation in Sod2 upon C-to-T conversion in sod2 reached 64% of gene-editing efficiency. (D) W63* mutation in Rb1 upon C-to-T conversion in rb1 reached 21% for the C19 base, 79% for C17, and 75% for the C16 of gene-editing efficiency. (E) G13S mutation in Nras upon C-to-T conversion in nras reached 19% of gene-editing efficiency. (F) Q170* mutation in p53 upon C-to-T conversion in tp53 reached 16% of gene-editing efficiency. For (A, D–F), the reverse complement of the sgRNA sequence is shown. (A–F) The chromatograms correspond to the efficiency reported for the single embryos provided in the first column of Table 2. The numbers in the boxes represent the percentage of each base at that sequence position. In red are highlighted the base substitutions introduced by base editing, while the original sequence is in blue. The color code of the chromatogram is indicated in the upper left corner (Adenine green, Cytosine blue, Thymine red, and Guanine black). The distance from the PAM sequence of the targeted C base is indicated below each chromatogram. It is considered that the quantifications under 5% are due to the background signal from Sanger sequencing and are thus non-significant (Kluesner et al., 2018).

It is interesting to note that in general all the cytidine bases present in the PAM [−19, –13] bp window can be edited by the CBE, with a higher efficiency for the cytidine bases located in the middle of this window while editing was below detection levels for cytidines located only 12 bp upstream (Figure 2D). With the use of ancBE4max CBE, these results highlight the importance of the cytidine distance from the PAM for efficient editing in zebrafish as shown previously in cell culture assays (Gaudelli et al., 2017).

Expanding gene-editing possibilities in zebrafish using a CBE recognizing NAA PAM

Due to the PAM-dependent restriction of the editing window, many mutations could not be generated so far. We therefore decided to expand the editing possibilities in zebrafish by associating SpymacCas9 recognizing NAA PAMs with the efficient conversion capacity of the ancBE4max. To this end, we replaced the PAM-interacting motif (PIM) domain of the SpCas9 with the one of the SpymacCas9 in the ancBE4max (Jakimo et al., 2018). The inserted PIM domain was codon optimized for zebrafish. Using this newly generated ancBE4max-SpymacCas9, we were able to reproduce the human G13S mutation in Nras oncogene in zebrafish in 2 out of 4 randomly analyzed embryo with up to 19% of efficiency reached in single embryo analysis (Figure 2E, Table 1, Table 2). We also introduced a stop codon by a C-to-T conversion in the tp53 gene in 1 out of 4 randomly analyzed embryo with 16% efficiency (Figure 2F, Table 1, Table 2). These results demonstrate that in addition to the classical NGG PAM it is now also possible to target NAA PAMs in zebrafish, thereby significantly expanding the range of cytidine bases that can be converted. For these new CBEs, we added a function in our script to choose the PAM recognized by the Cas9-D10A of the chosen CBE to generate the desired base editing (Source code 1). Together with the use of the ancBE4max and ancBE4max-SpymacCas9 CBE variants, we were now able to target mutations that could not be generated with the BE4-gam base editor and reproduce a wider range of human cancer mutations in zebrafish.

Genetic alterations that lead to oncogene activation and/or tumor suppressor inactivation are responsible for tumorigenesis. It is indeed well-established that in cancer patients, a series of genetic mutations in tumor suppressor genes and/or oncogenes are combined to all together lead to the appearance of the disease (Dash et al., 2019). With these efficient genetic tools that are now established in zebrafish, we have the possibility to rapidly test precise combinations of mutations identified in cancer patients.

Precise gene editing in the cbl tumor suppressor gene for the generation of human disease phenotypes in zebrafish

With the technological advances in CRISPR/Cas9 gene editing, zebrafish has become an even more attractive system for modeling human genetic diseases. Among the chosen loci to test the efficiency of the BE4-gam, we targeted the tumor suppressor gene encoding for Cbl, an E3 ubiquitin ligase, that is found mutated in Noonan syndrome patients presenting short stature and other bone malformations among several other phenotypes (Martinelli et al., 2010). In human, activating mutations in the fibroblast growth factor receptor 3 (FGFR3) gene are a leading cause of dwarfism achondroplasia and related dwarf conditions. Indeed, FGFR3 hyperactivation triggers intracellular signaling within the chondrocytes of the growth plate which terminates its proliferation and bone growth (Harada et al., 2009). Interestingly, another study based on in vitro systems reported that some of these activating mutations in FGFR3 disrupt c-Cbl-mediated ubiquitination that serves as a targeting signal for lysosomal degradation and termination of receptor signaling (Cho et al., 2004). Using the CBE BE4-gam as previously described, we obtained up to 50% of gene-editing efficiency (Figure 3A, Table 1, Table 2), with 80% of the analyzed embryos showing the expected editing (n = 10 randomly analyzed embryos). Four of 15 adults carried the Cbl W577* mutation in germ cells and one of these carriers transmitted it to 28% of its F1 offspring (44 of 153 analyzed fish carried the mutation). The target sequence was analyzed in the F1 embryos and no INDELs were found (Figure 3B). The zygotic homozygous mutant fish (cbl−/−) deriving from the incross of two heterozygous parents (cbl+/−) did not develop any obvious phenotype and could be grown to adulthood. This could be due to the fact that in zebrafish, maternal factors stored as mRNAs and proteins in the egg can compensate for zygotic loss of function during embryonic stages. In order to obtain maternal-zygotic mutants (MZ cbl−/−) that lacked wild-type cbl mRNAs and proteins provided by the mother, cbl−/− mutant parents were incrossed. As controls, the cbl+/+ siblings of the cbl−/− mutant fish were incrossed in parallel. Interestingly, 24% of the MZ cbl−/− mutants displayed a significantly reduced overall growth and size by 3 months post-fertilization, while 100% of the progeny of the cbl+/+ sibling fish showed a normal body size (means: 2.7 cm for the wild-type controls and 1.96 cm for the dwarf MZ cbl−/−, Figure 3C,D). Furthermore, this dwarf phenotype was never observed in any of the fish derived from the incrosses of the wild-type stocks used to generate this mutant line, while it was observed in the progeny of two other crosses of the cbl−/− line. Although we cannot formally exclude the presence of a distinct maternal zygotic mutation linked to the cblW577* allele, our data strongly support the role of Cbl W577* in the observed phenotype. Four germline mutations located in the RING domain of Cbl (Q367P, K382E, D390Y, and R420Q) have been previously identified and associated to Noonan syndrome and related phenotypes (Martinelli et al., 2010). Our results are in line with the growth defect phenotypes observed in these patients and directly implicate Cbl loss-of-function as a cause of bone malformations in an animal model. In addition, a point mutation in zebrafish Cbl (H382Y) has been implicated in myeloproliferative disorders. Unlike our mutant, cblH382Y mutant fish do not survive to adulthood, suggesting that the CblW577* premature stop reported here may have different consequences on the multiple functions of Cbl (Peng et al., 2015). Although not lethal, it would be of interest to assess whether any hematopoietic defects are present in our MZ cbl−/− mutants or whether this phenotype is only linked to the CblH328Y substitution found in the LDD731 zebrafish mutant (Peng et al., 2015). Our model represents a powerful in vivo system to dissect the role of Cbl in bone morphogenesis and to explain the human phenotypes related to bone malformations.

Figure 3. BE4-gam generated cbl maternal zygotic mutant fish show a reduced growth phenotype.

Figure 3.

(A) DNA sequencing chromatogram of targeted cbl gene with the BE4-gam. W577* mutation in Cbl upon C-to-T conversion in cbl reached 50% for the C16 base and 35% for the C15 base of gene-editing efficiency. The chromatogram refers to the efficiency reported for the embryo provided in the first column of Table 2. The numbers in the boxes represent the percentage of each base at that sequence position. In red are highlighted the base substitutions introduced by base editing, while the original sequence is in blue. The color code of the chromatogram is indicated in the upper left corner (Adenine green, Cytosine blue, Thymine red, and Guanine black). The distance from the PAM sequence of the targeted C base is indicated below the chromatogram. It is considered that the quantifications under 5% are due to the background signal from Sanger sequencing and are thus non-significant (Kluesner et al., 2018). (B) Sequencing of individual clones of a pool of F1 embryos from a founder carrying the W577* mutation in Cbl. TGG-to-TAA precise mutation was found in 8 of 21 clones. No editing or INDELs were detected in all other clones. (C) Three months post-fertilization (mpf) cbl wild type derived from the incross of wild-type siblings (upper panel) and dwarf maternal zygotic (MZ) mutant fish found in 24% of the progeny (lower panel). (D) Quantification of the body length of the cbl+/+ controls and of the dwarf MZ cbl−/−. The dwarf fish show a significant reduced size at three mpf compared to the wild-type controls. n = 8 for each group. Mann–Whitney test, p=0,0002. Scale bars: (C) 5 mm.

Conclusions

In our work, we took advantage of base editors to generate C-to-T point mutations at unprecedented high efficiencies (up to 91%) without detecting any unwanted mutations that were often problematic when using CBEs in zebrafish. In comparison, previous work has reported an efficiency reaching a maximum of 29% using the BE3 (Zhang et al., 2017). Another more recent study employed the ancBE4max variant in zebrafish with a slight difference of efficiency that might be due to the choice of the specific locus targeted, the synthesis of the sgRNA (homemade vs commercially synthetized) and the injection mode (yolk vs cell) (Carrington et al., 2020). More recently, Zhao et al., 2020 have shown similar efficiencies as we obtained in our study. To expand the gene-editing possibilities in this animal model, we established in addition a new editor variant recognizing the NAA PAM. Using these approaches, we first performed the endogenous and constitutive activation of Wnt signaling by introducing the S33L mutation in β-catenin. In addition, we demonstrated using these strategies that we were able to precisely target several cancer-associated genes for which so far only transgenic over-expressions or imprecise deletions were used to elucidate their functions. Among our targets, the introduced mutation in the cbl gene allowed us to generate a new zebrafish model for dwarfism.

Together our work provides a panel of examples whereby, using gene-editing approaches, some of which we established here in zebrafish for the first time, it is now possible to manipulate endogenous signaling pathways, to generate models for human genetic disorders and to mimic precise cancer-associated mutations in zebrafish. While a recent study reported the use of ancBE4max in zebrafish (Zhao et al., 2020), in our work we provide a direct comparison of BE4-gam, ancBE4max, and Spymac-ancBE4max. Our study highlights the power and the need for these approaches to increase the efficiency and the targeting flexibility in order to model pathological human mutations in zebrafish.

Finally, the high efficiencies of CBEs obtained in this study should encourage future applications where they could be implemented with mosaic mutation induction technologies such as the MAZERATI (Modeling Approach in Zebrafish for Rapid Tumor Initiation) system (Ablain et al., 2018). This will allow to rapidly model and study in vivo combinations of endogenous mutations occurring in specific cancer patients or in genetic disorders caused by somatic mosaicism. Our approach could thus be applied in zebrafish for the precise modeling of complex combinations of cancer-causing mutations in adult animal models as currently possible by transgenic overexpression or somatic gene inactivation (Callahan et al., 2018).

Materials and methods

Key resources table.

Reagent type (species) or resource Designation Source or reference Identifiers Additional
information
Genetic reagent (Danio rerio) Tg(7xTCF-Xla.Siam:GFP) ZIRC ZFIN ID:ZBD-ALT-110113–1
Recombinant DNA reagent pCMV_BE4-gam
(plasmid)
Addgene Addgene:#100806
RRID:Addgene_100806
Recombinant DNA reagent pCMV_ancBE4max
(plasmid)
Addgene Addgene:#112094
RRID:Addgene_112094
Recombinant DNA reagent pCS2+_ancBE4max-SpymacCas9
(plasmid)
This paper See Materials and methods
Commercial assay or kit NEBuilder HiFi DNA Assembly Cloning Kit New England Biolabs Catalog# E5520S
Commercial assay or kit mMESSAGE mMACHINE T7 Ultra kit Ambion Catalog# AM1345
Commercial assay or kit mMESSAGE mMACHINE Sp6 kit Ambion Catalog# AM1340
Commercial assay or kit PCR clean-up gel extraction kit Macherey-Nagel Catalog# 740609.50
Peptide, recombinant protein Phusion high-fidelity DNA polymerase ThermoFisher Catalog# F-530XL
Software, algorithm SequenceParser.py This paper See Source code 1

Fish lines and husbandry

Zebrafish (Danio rerio) were maintained at 28°C on a 14 hr light/10 hr dark cycle. Fish were housed in the animal facility of our laboratory which was built according to the respective local animal welfare standards. All animal procedures were performed in accordance with French and European Union animal welfare guidelines. Animal handling and experimental procedures were approved by the Committee on ethics of animal experimentation. The Tg(7xTCF-Xla.Siam:GFP) line was kindly provided by Sophie Vriz (Moro et al., 2012).

Molecular cloning

To generate the pCS2+_ancBE4max-SpymacCas9 plasmid, the SpymacCas9 PIM domain sequence has been codon optimized for expression in zebrafish using online software from IDT and synthesized with the first UGI sequence as G-block from IDT. Then, three fragments have been inserted into pCS2+ plasmid linearized with Xho1 using the NEBuilder HiFi DNA Assembly Cloning Kit (New England Biolabs # E5520S): a first fragment of 4161 bp of the ancBE4max to the PIM domain (amplified using the primers F-5′-CGATTCGAATTCAAGGCCTCATGAAACGGACAGCCGAC-3′ and R-5′-CGGTCTGGATCTCGGTCTTTTTCACGATATTC-3′), the Gblock fragment of 803 bp (amplified using the primers F-5′-AAAGACCGAGATCCAGACCGTGGGACAG-3′ and R-5′-TCCCGCCGCTATCCTCGCCGATCTTGGAC-3′), and a third fragment of 654 bp of the rest of the ancBE4max from the PIM domain (amplified using the primers F-5′-CGGCGAGGATAGCGGCGGGAGCGGCGGG-3′ and R-5′-CTCACTATAGTTCTAGAGGCTTAGACTTTCCTCTTCTTCTTGGGCTCGAATTCGCTGCCGTCG-3′). pCMV_BE4-gam (a gift from David Liu, Addgene plasmid # 100806; Anzalone et al., 2019) has been used to generate BE4-gam mRNAin vitro. This plasmid was linearized with Pme1 restriction enzyme and mRNAs were synthesized by in vitro transcription with 1 µl of GTP from the kit added to the mix, followed by Poly(A) tailing procedure and lithium chloride precipitation (using the mMESSAGE mMACHINE T7 Ultra kit #AM1345, Ambion). pCMV_ancBE4max (pCMV_AncBE4max was a gift from David Liu [Addgene plasmid # 112094]) has been linearized using AvrII restriction enzyme; mRNAs were synthesized by in vitro transcription with 1 µl of GTP from the kit added to the mix and lithium chloride precipitation (using the mMESSAGE mMACHINE T7 Ultra kit #AM1345, Ambion). The pCS2+_ancBE4max-SpymacCas9 has been linearized using KpnI restriction enzyme; mRNAs were synthetized by in vitro transcription with 1 µl of GTP added to the mix and lithium chloride precipitation (using the mMESSAGE mMACHINE Sp6 kit #AM1340, Ambion).

sgRNA design

A sequenceParser.py python script was developed and used to design sgRNAs for the creation of a stop codon. The first function of the script is to ask which PAM will be used to then execute the rapid detection of codons that are in the right editing windows from this predefined PAM to generate a STOP in frame after C-to-T conversion. The ORF sequence file extension is .txt and the letters in lower cases. The script can be executed from the command line interface (such as the terminal or PowerShell console) using Python version 3.

Efficiencies of sgRNAs were validated using CRISPOR online tool (Haeussler et al., 2016). All the synthetic sgRNAs were synthesized by IDT as Alt-R CRISPR-Cas9 crRNA and Alt-R CRISPR-Cas9 tracrRNA.

List of the crRNAs used in this study and the targeted C bases for each targeted locus. Sequences are oriented from 5′ to 3′:

crRNA sequence used for base editing (5'−3')
ctnnb1 (S33L) CTGGACTCAGGAATACACTC
tek (Q94*) GGAGCTCCAGGTGACGGTAG
bap1 (Q273*) GACTCAGCAAGAATCAGGCC
tp53 (Q21*) AGTATTCAGCCCCCAGGTGG
tp53 (Q170*) CAATCAGCGAGCAAATTACA
kras (E62K) CCTCCTGACCTGCAGTGTCC
dmd (Q8*) CCACAGGACCAATGGGAGGA
sod2 (Q145*) GCTGTTCAGGGCTCAGGCTG
rb1 (W63*) TCTCCATGCATGATCACAGA
nras NAA (G13S) AACACCTCCTGCTCCCACAA
tp53 NAA (Q170*) ATCAGCGAGCAAATTACAGG
cbl (W577*) AGTTCCAGTCTGGCATGTTG

Micro-injection

Prior injections, a mix of 2 µL of the Alt-R CRISPR-Cas9 crRNA (100 pmol/µL) and 2 µL of Alt-R CRISPR-Cas9 tracrRNA (100 pmol/µL) from IDT was incubated at 95°C for 5 min, cooled down at room temperature, and then kept on ice to form the synthetic sgRNA complex. One nanoliter of another mix containing CBE mRNA (600 ng/μL) and the synthetic sgRNA complex (43 pmol/μL) was then injected into the cell at one-cell stage zebrafish embryos.

Genotyping

To genotype the cbl mutant line, a PCR was performed with primers Fwd-5′-GTACGCCTGGAGACCCATCTC-3′ and Rev-5′-CTTTTGGACTGTCATAATCCGATGC-3′. The PCR product was digested with the restriction enzyme BsrI, which cut only on the WT allele. The WT allele resulted in two fragments (300 bp and 69 bp) and the mutant allele only one fragment (369 bp).

Whole-embryo DNA sequencing

A series between 4 and 10 single embryos randomly chosen was analyzed for each target sequence, and the embryo with the highest efficiency is shown. Generally, between 25% and 100% embryos were positive for gene editing, that is showed >16% expected sequence modification. For genomic DNA extraction, each single embryo was digested for 1 hr at 55°C in 0.5 mL lysis buffer (10 mM Tris, pH 8.0, 10 mM NaCl, 10 mM EDTA, and 2% SDS) with proteinase K (0.17 mg/mL, Roche Diagnostics) and inactivated 10 min at 95°C. To sequence and check for frequency of mutations, each target genomic locus was PCR-amplified using Phusion High-Fidelity DNA polymerase (ThermoFisher Scientific, # F-530XL). PCR products have been extracted from an agarose gel and purified (using the PCR clean-up gel extraction kit #740609.50, Macherey-Nagel), and Sanger sequencing was performed by Eurofins. Sequence analyses were achieved using ApE software and quantifications of the mutation rate done using editR online software (Kluesner et al., 2018). For the verification of cbl mutant F1 embryos, tekbap1 and tp53 mutations, PCR fragments were subsequently cloned into the pCR-bluntII-TOPO vector (Invitrogen). Plasmid DNA was isolated from single colonies and sent for sequencing. Mutant alleles were identified by comparison with the wild-type sequence using ApE and Geneious softwares.

Primer sequences used to amplify the targeted loci:

tek
(Q94*)
ATCTCAGACGTGACTCTGGTGAAC TTCCTGTAGCATCTTGTAGGTGTAG
bap1
(Q273*)
TTGTTTATTTTTCAGGACCATGGGG CACCTGAAGGTATTGGTGTTTCTTG
tp53
(Q21*)
CTTTGCATAAGAAACAACATCCCGA GTTCAACACTGAAAACCAAAAGAGG
tp53
(Q170*)
ATATCTTGTCTGTTTTCTCCCTGCT GTCCTACAAAAAGGCTGTGACATAC
kras
(E62K)
CGTTCCACTATGTCCACACATTTAG AACAGTACATTTTCTGCATACTCGC
dmd
(Q8*)
AGGGCTCCTTCCTTTTTCTGTTTAT TGATCGAGTTTTGATGATTTCTCCG
sod2
(Q145*)
GCATATGGCTGGAAATGATGAACC GCACTTTATGTGCATTCACTGAGG
rb1
(W63*)
TCTGTCAACTGTTGTTTTTCCAGAC TTCAATATCTGCCACACATACCTCA
nras
(G13S)
CCTTTTCTCTCTTTTTGTCTGGGTG CGCAATCTCACGTTAATTGTAGTGT
cbl
(W577*)
GTACGCCTGGAGACCCATCTC CTTTTGGACTGTCATAATCCGATGC

Imaging

Embryos were oriented in low-melting agarose 0.6% with an anesthetic (Tricaine 0.013%) diluted in egg solution. The inverted laser scanning confocal microscope Zeiss CLSM-LSM780 was used for high-resolution microscopy, employing a 40× water immersion objective. Z-stacks were acquired every 1–2 µm. Leica MZ10F was used to image the whole embryos the cbl mutant adult fish. Image analyses were performed with ImageJ software.

Body size quantifications

Eight control wild-type siblings and eight dwarf MZcbl–/– in total were used to measure the body size using a millimetric ruler. The length measured was from mouth to trunk. A non-parametric t-test with the Mann–Whitney correction was applied to determine significance in growth. The software used was Prism 7 (GraphPad).

Acknowledgements

We thank Sophie Vriz for sharing the Tg(7xTCF-Xla.Siam:GFP) transgenic line and the members of the fish-facility in Institut Curie. We also thank Céline Revenu and Viviana Anelli for early contribution. MR was supported by the Fondation pour la Recherche Médicale (FRM grant number ECO20170637481) and la Ligue Nationale Contre le Cancer. Work in the Del Bene laboratory was supported by ANR-18-CE16 ‘iReelAx’, UNADEV in partnership with ITMO NNP/AVIESAN (National Alliance for Life Sciences and Health) in the framework of research on vision and IHU FOReSIGHT [ANR-18-IAHU-0001] supported by French state funds managed by the Agence Nationale de la Recherche within the Investissements d'Avenir program. MCM was supported by World Wide Cancer Research, grant no. 0624, and by LILT –Trento, Program five per mille (year 2014).

Funding Statement

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Contributor Information

Shahad Albadri, Email: shahad.albadri@inserm.fr.

Filippo Del Bene, Email: filippo.del-bene@inserm.fr.

Tanya T Whitfield, University of Sheffield, United Kingdom.

Richard M White, Memorial Sloan Kettering Cancer Center, United States.

Funding Information

This paper was supported by the following grants:

  • Agence Nationale de la Recherche ANR-18-CE16 "iReelAx" to Filippo Del Bene.

  • Agence Nationale de la Recherche [ANR-18-IAHU-0001 to Filippo Del Bene.

  • Fondation pour la Recherche Médicale ECO20170637481 to Marion Rosello.

  • Ligue Contre le Cancer to Marion Rosello.

  • UNADEV/AVIESAN to Filippo Del Bene.

  • Worldwide Cancer Research grant no. 0624 to Marina C Mione.

  • LILT -Trento Program 5 per mille to Marina C Mione.

Additional information

Competing interests

No competing interests declared.

Author contributions

Conceptualization, Formal analysis, Validation, Investigation, Visualization, Methodology, Writing - original draft, Writing - review and editing.

Validation, Investigation, Methodology.

Software.

Conceptualization, Writing - review and editing.

Conceptualization, Supervision, Methodology, Writing - original draft, Writing - review and editing.

Conceptualization, Formal analysis, Validation, Visualization, Writing - original draft, Writing - review and editing.

Conceptualization, Supervision, Funding acquisition, Methodology, Writing - original draft, Writing - review and editing.

Ethics

Animal experimentation: All procedures were performed on zebrafish embryos in accordance with the European Communities Council Directive (2010/63/EU) and French law (87/848) and approved by the Sorbonne Université ethic committee (Charles Darwin) and the French Ministry for research (APAFIS agreement #21323 2019062416186982) and by the Institut Curie ethic committee and the French Ministry for research (APAFIS agreement #6031 2016070822342309).

Additional files

Source code 1. SequenceParser.py STOP codon design source code.

This python code highlights in capital the codons that can converted as STOP codon by C-to-T conversion with the chosen PAM sequence at the correct distance (PAM [−19, –13] bp window).

elife-65552-code1.zip (1.2KB, zip)
Transparent reporting form

Data availability

All data generated or analysed during this study are included in the manuscript and supporting files.

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Decision letter

Editor: Tanya T Whitfield1
Reviewed by: Maura McGrail2, Darius Balciunas3

Our editorial process produces two outputs: i) public reviews designed to be posted alongside the preprint for the benefit of readers; ii) feedback on the manuscript for the authors, including requests for revisions, shown below. We also include an acceptance summary that explains what the editors found interesting or important about the work.

Acceptance summary:

The manuscript by Rosello et al. represents a major advance in implementation of cutting-edge genome editing methodologies in the zebrafish. The study seeks to describe optimized tools for precise base editing in zebrafish and to demonstrate their effective application. Overall, this study demonstrates that cytosine base editing is an efficient and powerful method for introducing precise in vivo edits into the zebrafish genome, and will be of interest to scientists who use zebrafish and other genetic systems to model human development and disease.

Decision letter after peer review:

Thank you for submitting your article "Precise base editing for the in vivo study of developmental signaling and human pathologies in zebrafish" for consideration by eLife. Your article has been reviewed by three peer reviewers, and the evaluation has been overseen by a Reviewing Editor and Richard White as the Senior Editor. The following individuals involved in review of your submission have agreed to reveal their identity: Maura McGrail (Reviewer #1); Darius Balciunas (Reviewer #2).

The reviewers have discussed their reviews with one another, and the Reviewing Editor has drafted this to help you prepare a revised submission.

Essential Revisions:

1) As you will see , all three reviewers are very supportive of the work. However, all have concerns about the clarity of presentation and discussion of the data, and offer some suggestions for how these aspects could be improved. Please see the individual reviews for details. These concerns should be straightforward to address.

2) Reviewer 1 suggests a number of studies in the literature that should be cited – please cite these studies or provide a response.

3) Please provide the additional details for quantitation and details of the protocols requested by reviewer 1.

4) There are some concerns over the dwarfism phenotype in the MZ cbl -/- mutants. Please provide further genetic analysis to eliminate the possibility that this is a background mutation, or consider this possibility in your discussion. One suggestion from the reviewers is to cross a -/- female with a +/- male and see if the phenotype correlates with the genotype.

Reviewer #1 (Recommendations for the authors):

Abstract and Introduction

1) The Abstract opens with an emphasis on optimizing base editing in zebrafish, and then the application of this technology to examine signaling/cancer pathways and disease variants in human development and disease pathology. However, the results first demonstrate modeling wnt and cancer gene pathways with BE4 base editing, followed by testing an improved BE4 base editor ancBE4max, then on expanding base editor gene editing capability by altering PAM recognition, and ending with modeling human disease with BE4 base editing. The manuscript might flow better if all the BE4 data was presented, then the BE4-ancBE4max comparison, then the ancBE4maxSpmac. Possibly the authors had tried organizing the paper that way, but it didn't work well.

2) The Introduction should be edited to include citations of the latest advances in targeted integration and SNP introduction in zebrafish:

The recent publication by Zhao et al., An optimized base editor with efficient C-to-T base editing in zebrafish, December 2020 BMC Biology, should be cited in the Introduction. They reported a zAncBE4max cytosine base editor codon optimized for zebrafish, and showed it was more efficient than BE3 at precision editing at 6 loci. Zhao et al., also created a zebrafish model of human ablepharon macrostomia syndrome (AMS) using base editing to introduce the twist2 p.E78K variant. The authors could emphasize what is distinct about the current study, which is a direct comparison of BE4, ancBE4max, and ancBE4maxSpymac, in addition to the signaling pathway and disease modeling.

Please remove or edit the statement that targeted integration by HDR is not efficient in zebrafish. This is no longer the case. Efficient strategies for introduction of exogenous DNA and SNPs by HDR in the zebrafish germline has been rigorously demonstrated in the literature and should be cited: Efficient precision targeted integration of exogenous DNA directed by short homology was reported by Essner, McGrail and colleagues (Wierson et al., 2020); introduction of human tp53 SNP variants using oligonucleotide templates was reported by Berman and colleagues (Prykhozhij et al., 2018). The authors could suggest that base editing offers a complementary and powerful approach to introduce specific single nucleotide variants into the zebrafish genome, if alternative methods such as using oligonucleotide templates aren't effective at a particular locus.

Results and Discussion

1) Provide the complete spelling of BE4-gam.

2) Figure 1 The authors demonstrate highly efficient base editing with BE4-gam in 4 zebrafish cancer genes, with introduction of predictable, known cancer variants into each. It would be helpful to include the sequence of the entire target site with PAM for each gene in Figure 1.

Figure 1 B-C: The authors introduce the wnt pathway activating mutation TCA (Serine) to TTA (Leucine) into ctnnb1 B-catenin using cytidine base editor BE4-gam. To demonstrate activation of wnt signaling ctnnb1 base editing was done in the wnt pathway reporter line Tg(tcf:GFP), and the results indicate an increase in GFP signal in the developing retina at 1dpf. Figure 1B upper panel: The low contrast makes it difficult to see the images – they appear to be low magnification of the head/anterior region of the embryo. Quantification of the amount of GFP positive cells in control vs. ctnnb1 edited embryos or retina should be included, with the appropriate number of biological replicates noted.

Figure 1C shows EditR analysis of the frequency of base editing; no details on the number of embryos analyzed was included in the results although the information is in the methods (10 embryos analyzed). Since this is a techniques paper, it would be helpful to include details on how base editing was analyzed: the number of embryos, if they were analyzed singly or pooled, how the PCR amplicons were sequenced to generate sequence data for EditR analysis. The frequencies reported in Table 1 are a little misleading, since as the authors note EditR drops out samples below 5% editing efficiency. For example, 5/8 = 63%, but in reality 5/10 = 50%.

Figure 1 D-G The authors introduced nonsense C-T* mutations into three tumor suppressor genes with up to 86% efficiency. The sentence beginning "This last result is …" should be removed and replaced with an acknowledgement the similar efficiency reported by Zhao et al., 2020. Amplicons were cloned and sequenced, and the data show either precise C-T conversion or wildtype sequence without indels. But the data in the panels D-G indicates other changes at some frequency; some clarification of this difference would be helpful.

3) Figure 2. The BE4-gam base editor wasn't effective at introducing the oncogenic E62K mutation into Kras, or a Q8* nonsense mutation into the dmd tumor suppressor, so the authors tested the newer ancBE4max. It wasn't stated how it didn't work with BE4-gam, if it was a complete failure, or just indels were induced. Using the same sgRNAs ancBE4max was effective at introducing the edits at high efficiency. This is useful knowledge, if one base editor isn't working, the other could.

One of the most impactful and novel aspects of this study is the modification of ancBE4max to recognize a different PAM. The authors switched out the SpCas9 PIM domain (PAM-interacting motif) with Spymac PIM, which recognizes the PAM NAA. The data show relatively low efficiency of base editing at nras and tp53 (19% and 16%). Future work could optimize this base editor to increase efficiency.

4) Figure 3. Here the authors demonstrate efficient BE4-gam base editing in both somatic and germline targeting of the W577* mutation in the E3 ubiquitin ligase cbl. 4/15 adults carried the Cbl W577* in germ cells and transmitted it to 28% of their F1 offspring (44/153). Remarkably, all of the F1 offspring that inherited the precise W577* allele. Data from multiple loci is needed to obtain a frequency of germline transmission of precise base edited alleles.

24% of MZ cbl -/- adults show a short stature phenotype in comparison to MZ clb +/+ siblings, and the authors claim this is a new model of dwarfism. Without details on the genetics used to establish the cbl mutant line, it's unclear if the phenotype is linked to the base edited allele or is in the background. If the fish were inbred without first establishing outcrossed F2 generation adults, it's possible this is due to background mutations. More rigorous genetic analysis or inclusion of details would strengthen the validity of the disease model.

Reviewer #2 (Recommendations for the authors):

My most significant concern has to do with the way editing data is described throughout the manuscript. To take a specific example, one might infer from Figure 1C (including figure legend) that substitution of Serine 33 for Leucine in b-catenin is >70% efficient. But is it? Based on Supplementary Table 3, editing of C13 was only detected in 5/8 embryos analyzed (62.5%), with efficiencies of 73%, 40%, 25%, 16% and 11%. Thus, average editing efficiency in positive embryos is 33%. If one were to include negative embryos, editing efficiency would be ~19% – which is still very good but quite different from 70%. I believe editing efficiency ranges must be presented in the main figures, perhaps as dot charts.

Along the same lines, it is not clear how the embryo imaged in Figure 1B was selected. How many embryos were scored for ectopic activation of wnt signaling reporter and how many were found positive? To what extent (for example, what were the numbers of GFP-positive RPCs in each)? Does the photographed embryo represent "best case" or "average"?

Given that C to T base editors may mutate any Cs within the editing window, it is important to present data from Sanger sequencing of individual amplicons, similarly to data presented for tek Q94*, bap1 Q273*, tp53 Q21*, tp53 Q170* (Figure 1D-G) and cbl W577* (Figure 3B). What about the ctnnb1 S33L amplicon from Figure 1C? Do the desired change (73% efficiency) and the silent bystander substitution (74% efficiency) co-occur at random? If that were the case, one would expect ~50% of sequences with both changes and ~20% of sequences with either single change. Or do both changes co-occur at much higher than random probability, as Figure 3C suggests? This would be extremely important if the second change was not silent but introduced a missense or nonsense mutation. For those scenarios, perhaps embryo 2 and embryo 5 (Supplementary Table 3) are worth highlighting as C15 substitution is not observed in them? This applies to other edits where significant fraction of additional C->T substitutions is observed: kras (Figure 2A) and rb1 (Figure 2D).

Reviewer #3 (Recommendations for the authors):

I have only relatively minor suggestions to improve the clarity of presented data.

Figure 1B: The number of embryos with increased GFP/ total examined should be indicated in the legend.

Figure 1C-G. It took this reviewer a long time to understand how these figures worked. Once I did, I felt it was a clear way of showing the data. However, some additional description in the legend would have been very helpful for orientation. The ACTG in the top corner was initially mistaken for sequence, rather than a color code, which likely contributed significantly to my early confusion. It should also be made clearer that the numbers represent % at that site, and the box color coding system should be clearly stated.

Figure C-G. It is not clear exactly what this data is from. Is it one embryo, a pool of embryos? How many sequences analyzed? A general strategy for sequencing is discussed in the methods, but it would be helpful to know the specifics of the data presented in this figure for each mutant.

It is not clear whether the python script used for sgRNA design will be made available.

In Figure D, I am unclear how one can have wildtype +/+ siblings in a cross with maternal zygotic -/- mutants. Wouldn't the mother have to have been -/-?

eLife. 2021 Feb 12;10:e65552. doi: 10.7554/eLife.65552.sa2

Author response


Essential Revisions:

1) As you will see , all three reviewers are very supportive of the work. However, all have concerns about the clarity of presentation and discussion of the data, and offer some suggestions for how these aspects could be improved. Please see the individual reviews for details. These concerns should be straightforward to address.

We thank the reviewers for their positive remarks and constructive comments that helped to improve our manuscript. We have addressed their concerns and have detailed our responses below.

2) Reviewer 1 suggests a number of studies in the literature that should be cited – please cite these studies or provide a response.

We added all the citations suggested by the reviewers 1 and 2.

3) Please provide the additional details for quantitation and details of the protocols requested by reviewer 1.

We have added the required quantifications and protocol details wherever needed.

4) There are some concerns over the dwarfism phenotype in the MZ cbl -/- mutants. Please provide further genetic analysis to eliminate the possibility that this is a background mutation, or consider this possibility in your discussion. One suggestion from the reviewers is to cross a -/- female with a +/- male and see if the phenotype correlates with the genotype.

The possibility that the dwarf phenotype comes from a background mutation was addressed through the generation of control fish that we obtained by keeping the wild-type siblings from the cbl+/- incross. The cbl+/+ controls in Figure 3 are from the cross of these wild-type siblings, following the same procedure as for the MZcbl-/-. We never observed dwarf phenotypes in these cbl+/+ fish neither in the cbl+/- and cbl-/- fish. The dwarf phenotype was also only observed in MZ cbl-/- embryos derived from two independent crosses. It should be noted that we have now kept this cbl+/- line for 5 generations in our fishroom in the same genetic background and the dwarf phenotype was only observed when MZ cbl-/- embryos were raised. In addition, the dwarf phenotype was neither observed in our wildtype stocks from which the cbl -/+ line was derived. If a background mutation happened to be linked to our mutant allele, since the dwarf phenotype was only observed in MZ cbl-/- and not in zygotic cbl-/-, the background mutation would be in a second independent maternal zygotic mutant gene which we cannot formally exclude but seems unlikely. We now discussed these data in our manuscript as suggested.

Reviewer #1 (Recommendations for the authors):

Abstract and Introduction

1) The Abstract opens with an emphasis on optimizing base editing in zebrafish, and then the application of this technology to examine signaling/cancer pathways and disease variants in human development and disease pathology. However, the results first demonstrate modeling wnt and cancer gene pathways with BE4 base editing, followed by testing an improved BE4 base editor ancBE4max, then on expanding base editor gene editing capability by altering PAM recognition, and ending with modeling human disease with BE4 base editing. The manuscript might flow better if all the BE4 data was presented, then the BE4-ancBE4max comparison, then the ancBE4maxSpmac. Possibly the authors had tried organizing the paper that way, but it didn't work well.

As the reviewer pointed out, we initially to organize the manuscript presenting the data following the technological advancement rather than the biological applications but this did not flow too smoothly in our opinion. We prefer to keep the organization as it is, finishing by presenting the human disease application for which we also have a stable line.

2) The Introduction should be edited to include citations of the latest advances in targeted integration and SNP introduction in zebrafish:

The recent publication by Zhao et al., An optimized base editor with efficient C-to-T base editing in zebrafish, December 2020 BMC Biology, should be cited in the Introduction. They reported a zAncBE4max cytosine base editor codon optimized for zebrafish, and showed it was more efficient than BE3 at precision editing at 6 loci. Zhao et al., also created a zebrafish model of human ablepharon macrostomia syndrome (AMS) using base editing to introduce the twist2 p.E78K variant. The authors could emphasize what is distinct about the current study, which is a direct comparison of BE4, ancBE4max, and ancBE4maxSpymac, in addition to the signaling pathway and disease modeling.

According to the reviewer 1 comment, we now incorporated the findings of Zhao et al. in the Introduction and conclusion where we distinctly emphasized our novel results with respect to previous works.

Please remove or edit the statement that targeted integration by HDR is not efficient in zebrafish. This is no longer the case. Efficient strategies for introduction of exogenous DNA and SNPs by HDR in the zebrafish germline has been rigorously demonstrated in the literature and should be cited: Efficient precision targeted integration of exogenous DNA directed by short homology was reported by Essner, McGrail and colleagues (Wierson et al., 2020); introduction of human tp53 SNP variants using oligonucleotide templates was reported by Berman and colleagues (Prykhozhij et al., 2018). The authors could suggest that base editing offers a complementary and powerful approach to introduce specific single nucleotide variants into the zebrafish genome, if alternative methods such as using oligonucleotide templates aren't effective at a particular locus.

We apologize for this and have made the required modifications.

Results and Discussion

1) Provide the complete spelling of BE4-gam.

Implemented.

2) Figure 1 The authors demonstrate highly efficient base editing with BE4-gam in 4 zebrafish cancer genes, with introduction of predictable, known cancer variants into each. It would be helpful to include the sequence of the entire target site with PAM for each gene in Figure 1.

Following reviewer 1 and 2 suggestions we have now added the edited base position in Figure 1. We have also reported the full sequence of the entire target site for each gene targeted in this paper in a new supplementary figure 1 with the annotation of the PAM and the edited C base (Figure 1—figure supplement 1).

Figure 1B-C: The authors introduce the wnt pathway activating mutation TCA (Serine) to TTA (Leucine) into ctnnb1 B-catenin using cytidine base editor BE4-gam. To demonstrate activation of wnt signaling ctnnb1 base editing was done in the wnt pathway reporter line Tg(tcf:GFP), and the results indicate an increase in GFP signal in the developing retina at 1dpf. Figure 1B upper panel: The low contrast makes it difficult to see the images – they appear to be low magnification of the head/anterior region of the embryo.

Yes, this is correct as the upper panel indeed shows a low magnification of the head region. Now to hopefully make this more evident, we delineated the outer edge of the embryos and added the orientation in the Figure 1 legend.

Quantification of the amount of GFP positive cells in control vs. ctnnb1 edited embryos or retina should be included, with the appropriate number of biological replicates noted.

Given the mosaic activation of Wnt signaling when using our approach, the rigorous quantification of GFP+ clones is only possible in the retina where the Tg(tcf:gfp) Wnt reporter line is not active at that stage. Overall in 3 independent experiments, we scored 39 embryos with increased GFP in the CNS and imaged 4 representative embryos at the confocal microscope in the retina for each condition. We observed an average of 12 GFP positive clones per retina while this was never detected in control injected Tg(tcf:gfp) embryos. These results are implemented in the main text and in the Figure 1B legend.

Figure 1C shows EditR analysis of the frequency of base editing; no details on the number of embryos analyzed was included in the results although the information is in the methods (10 embryos analyzed). Since this is a techniques paper, it would be helpful to include details on how base editing was analyzed: the number of embryos, if they were analyzed singly or pooled, how the PCR amplicons were sequenced to generate sequence data for EditR analysis. The frequencies reported in Table 1 are a little misleading, since as the authors note EditR drops out samples below 5% editing efficiency. For example, 5/8 = 63%, but in reality 5/10 = 50%.

We apologize for the confusion. The frequency in Table 1 referred to the number of single embryos analyzed as reported in Table 2 of randomly selected embryos. We have stated that in the Materials and methods section. Therefore, when we report 5/8 means that we analyzed only 8 embryos in which we could detected mutation with more that 5% of efficiency. We also added this number as they were presented in the Table 1 and Table 2 throughout the main text as requested.

Figure 1D-G The authors introduced nonsense C-T* mutations into three tumor suppressor genes with up to 86% efficiency. The sentence beginning "This last result is …" should be removed and replaced with an acknowledgement the similar efficiency reported by Zhao et al., 2020.

We adjusted our claims to include results from previous studies and discussed the different efficiencies obtained in these and our studies.

Amplicons were cloned and sequenced, and the data show either precise C-T conversion or wildtype sequence without indels. But the data in the panels D-G indicates other changes at some frequency; some clarification of this difference would be helpful.

We apologize if this was not clear, the amplicons were not cloned but directly sequenced. We made modifications in the figure legend specifying these low frequencies base pairs changes are below detection sensitivity of EditR and due to the background signal of the Sanger sequencing.

3) Figure 2. The BE4-gam base editor wasn't effective at introducing the oncogenic E62K mutation into Kras, or a Q8* nonsense mutation into the dmd tumor suppressor, so the authors tested the newer ancBE4max. It wasn't stated how it didn't work with BE4-gam, if it was a complete failure, or just indels were induced. Using the same sgRNAs ancBE4max was effective at introducing the edits at high efficiency. This is useful knowledge, if one base editor isn't working, the other could.

We only obtained non-edited sequences using the BE4-gam without INDELs for the Kras and Dmd genes. We clarified this point in the manuscript.

One of the most impactful and novel aspects of this study is the modification of ancBE4max to recognize a different PAM. The authors switched out the SpCas9 PIM domain (PAM-interacting motif) with Spymac PIM, which recognizes the PAM NAA. The data show relatively low efficiency of base editing at nras and tp53 (19% and 16%). Future work could optimize this base editor to increase efficiency.

This is indeed a very interesting point that will be the focus of future investigations.

4) Figure 3. Here the authors demonstrate efficient BE4-gam base editing in both somatic and germline targeting of the W577* mutation in the E3 ubiquitin ligase cbl. 4/15 adults carried the Cbl W577* in germ cells and transmitted it to 28% of their F1 offspring (44/153). Remarkably, all of the F1 offspring that inherited the precise W577* allele. Data from multiple loci is needed to obtain a frequency of germline transmission of precise base edited alleles.

We agree that our claim about transmission rate was wrong and corrected our result description in the main text. We now clearly indicate that this result reefers to a single F1 fish and we agree that more data would be needed to make a general statement.

24% of MZ cbl -/- adults show a short stature phenotype in comparison to MZ clb +/+ siblings, and the authors claim this is a new model of dwarfism. Without details on the genetics used to establish the cbl mutant line, it's unclear if the phenotype is linked to the base edited allele or is in the background. If the fish were inbred without first establishing outcrossed F2 generation adults, it's possible this is due to background mutations. More rigorous genetic analysis or inclusion of details would strengthen the validity of the disease model.

The possibility that the dwarf phenotype comes from a background mutation was addressed through the generation of control fish that we obtained by keeping the wild-type siblings from the cbl+/- incross. The cbl+/+ controls in Figure 3 are from the cross of these wild-type siblings, following the same procedure as for the MZcbl-/-. We never observed dwarf phenotypes in these cbl+/+ fish neither in the cbl+/- and cbl-/- fish. The dwarf phenotype was also only observed in MZ cbl-/- embryos derived from two independent crosses. It should be noted that we have now kept this cbl+/- line for 5 generations in our fishroom in the same genetic background and the dwarf phenotype was only observed when MZ cbl-/- embryos were raised. In addition, the dwarf phenotype was neither observed in our wildtype stocks from which the cbl -/+ line was derived. If a background mutation happened to be linked to our mutant allele, since the dwarf phenotype was only observed in MZ cbl-/- and not in zygotic cbl-/-, the background mutation would be in a second independent maternal zygotic mutant gene which we cannot formally exclude but seems unlikely. We now discussed these data in our manuscript as suggested.

Reviewer #2 (Recommendations for the authors):

My most significant concern has to do with the way editing data is described throughout the manuscript. To take a specific example, one might infer from Figure 1C (including figure legend) that substitution of Serine 33 for Leucine in b-catenin is >70% efficient. But is it? Based on Supplementary Table 3, editing of C13 was only detected in 5/8 embryos analyzed (62.5%), with efficiencies of 73%, 40%, 25%, 16% and 11%. Thus, average editing efficiency in positive embryos is 33%. If one were to include negative embryos, editing efficiency would be ~19% – which is still very good but quite different from 70%. I believe editing efficiency ranges must be presented in the main figures, perhaps as dot charts.

We agree with the comment and for this reason we presented the efficiency we obtained in single embryos in the Table 2. In the text we are careful to indicate the efficiency is in the best case obtained and we state always state the number of embryos in which we observed editing at detectable levels.

Along the same lines, it is not clear how the embryo imaged in Figure 1B was selected. How many embryos were scored for ectopic activation of wnt signaling reporter and how many were found positive? To what extent (for example, what were the numbers of GFP-positive RPCs in each)? Does the photographed embryo represent "best case" or "average"?

Given the mosaic activation of Wnt signaling when using our approach, the rigorous quantification of GFP+ clones is only possible in the retina where the Tg(tcf:gfp) Wnt reporter line is not active at that stage. Overall in 3 independent experiments, we scored 39 embryos with increased GFP in the CNS and imaged 4 representative embryos at the confocal microscope in the retina for each condition. We observed an average of 12 GFP positive clones per retina while this was never detected in control injected Tg(tcf:gfp) embryos. These results are implemented in the main text and in the Figure 1B legend.

Given that C to T base editors may mutate any Cs within the editing window, it is important to present data from Sanger sequencing of individual amplicons, similarly to data presented for tek Q94*, bap1 Q273*, tp53 Q21*, tp53 Q170* (Figure 1D-G) and cbl W577* (Figure 3B). What about the ctnnb1 S33L amplicon from Figure 1C? Do the desired change (73% efficiency) and the silent bystander substitution (74% efficiency) co-occur at random? If that were the case, one would expect ~50% of sequences with both changes and ~20% of sequences with either single change. Or do both changes co-occur at much higher than random probability, as Figure 3C suggests? This would be extremely important if the second change was not silent but introduced a missense or nonsense mutation. For those scenarios, perhaps embryo 2 and embryo 5 (Supplementary Table 3) are worth highlighting as C15 substitution is not observed in them? This applies to other edits where significant fraction of additional C->T substitutions is observed: kras (Figure 2A) and rb1 (Figure 2D).

We agree these are important comments for which we reported all the raw data in Table 2. In general, in our hands the frequency of mutations in other C bases present in the editing window depends on their localization, with a highest efficacy for the base that are at the center of this window. As the reviewer correctly pointed out, in embryos 2 and 5, we observe only editing on the wanted C at position 13 with no editing of the C at position 15, suggesting that these are independent events.

Reviewer #3 (Recommendations for the authors):

I have only relatively minor suggestions to improve the clarity of presented data.

Figure 1B: The number of embryos with increased GFP/ total examined should be indicated in the legend.

Given the mosaic activation of Wnt signaling when using our approach, the rigorous quantification of GFP+ clones is only possible in the retina where the Tg(tcf:gfp) Wnt reporter line is not active at that stage. Overall in 3 independent experiments, we scored 39 embryos with increased GFP in the CNS and imaged 4 representative embryos at the confocal microscope in the retina for each condition. We observed an average of 12 GFP positive clones per retina while this was never detected in control injected Tg(tcf:gfp) embryos. These results are implemented in the main text and in the Figure 1B legend.

Figure 1C-G. It took this reviewer a long time to understand how these figures worked. Once I did, I felt it was a clear way of showing the data. However, some additional description in the legend would have been very helpful for orientation. The ACTG in the top corner was initially mistaken for sequence, rather than a color code, which likely contributed significantly to my early confusion. It should also be made clearer that the numbers represent % at that site, and the box color coding system should be clearly stated.

To facilitate the understanding of our figures, we changed the ACTG legend for all the chromatograms and specified in the legends the meaning of the color codes, hoping that it is now less confusing.

Figure C-G. It is not clear exactly what this data is from. Is it one embryo, a pool of embryos? How many sequences analyzed? A general strategy for sequencing is discussed in the Materials and methods, but it would be helpful to know the specifics of the data presented in this figure for each mutant.

We agree with the comment and for this reason we presented the efficiency we obtained in single embryos in the Table 2. In the text we are careful to indicate the efficiency we report is in the best case obtained and we state always the number of embryos in which we observed editing at detectable levels. The chromatogram always refers to the efficiency reported for the first embryos provided in the first column of the Table 2 which correspond to the efficiency reported in Table 1. We added these details in the legend of the figures.

It is not clear whether the python script used for sgRNA design will be made available.

The python script used for sgRNA design is made as an additional file.

In figure D, I am unclear how one can have wildtype +/+ siblings in a cross with maternal zygotic -/- mutants. Wouldn't the mother have to have been -/-?

We apologize for the mistake, it is indeed not correct. These are not siblings but wildtype controls derived from incross of the wildtype siblings of the zygotic cbl-/- fish. We corrected this mistakes in the manuscript.

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    Source code 1. SequenceParser.py STOP codon design source code.

    This python code highlights in capital the codons that can converted as STOP codon by C-to-T conversion with the chosen PAM sequence at the correct distance (PAM [−19, –13] bp window).

    elife-65552-code1.zip (1.2KB, zip)
    Transparent reporting form

    Data Availability Statement

    All data generated or analysed during this study are included in the manuscript and supporting files.


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