Skip to main content
eLife logoLink to eLife
. 2019 Aug 6;8:e46703. doi: 10.7554/eLife.46703

A Myt1 family transcription factor defines neuronal fate by repressing non-neuronal genes

Joo Lee 1,2, Caitlin A Taylor 2,3, Kristopher M Barnes 4, Ao Shen 5, Emerson V Stewart 3, Allison Chen 4, Yang K Xiang 5, Zhirong Bao 4, Kang Shen 2,3,
Editors: Marianne E Bronner6, Oliver Hobert7
PMCID: PMC6684318  PMID: 31386623

Abstract

Cellular differentiation requires both activation of target cell transcriptional programs and repression of non-target cell programs. The Myt1 family of zinc finger transcription factors contributes to fibroblast to neuron reprogramming in vitro. Here, we show that ztf-11 (Zinc-finger Transcription Factor-11), the sole Caenorhabditis elegans Myt1 homolog, is required for neurogenesis in multiple neuronal lineages from previously differentiated epithelial cells, including a neuron generated by a developmental epithelial-to-neuronal transdifferentiation event. ztf-11 is exclusively expressed in all neuronal precursors with remarkable specificity at single-cell resolution. Loss of ztf-11 leads to upregulation of non-neuronal genes and reduced neurogenesis. Ectopic expression of ztf-11 in epidermal lineages is sufficient to produce additional neurons. ZTF-11 functions together with the MuvB corepressor complex to suppress the activation of non-neuronal genes in neurons. These results dovetail with the ability of Myt1l (Myt1-like) to drive neuronal transdifferentiation in vitro in vertebrate systems. Together, we identified an evolutionarily conserved mechanism to specify neuronal cell fate by repressing non-neuronal genes.

Research organism: C. elegans

eLife digest

The human body contains many cell types that each have different job and can look very different from each other. However, each of the cells in an individual’s body contains almost exactly the same genes, because all of them share the same DNA inherited from the individual’s parents. Cells therefore become different from one another by controlling the activity of sets of genes. They do this by using proteins called transcription factors, which find specific genes and turn them either on or off.

Nerve cells or neurons form and develop in a process called neurogenesis. During neurogenesis, some genes including those specific to neurons need to be switched on while other non-neuronal genes need to be switched off. The “off-switch” is particularly important when neurons are generated by conversion from skin cells, which sometimes happens in animals. Before these cells can become mature nerve cells, they require transcription factors to ensure that skin-specific genes are off.

The transcription factors turning on nerve cell-specific genes are well-understood, but far less is known about those that turn off other genes. Lee et al. therefore set out to search for transcription factors that might switch off non-neuronal genes during neurogenesis and focused on one transcription factor that is known to be important for the development of nerve cells in a variety of animal species.

Experiments using the worm C. elegans revealed that this transcription factor – called ZTF-11 in worms – was present in all cells destined to be nerve cells, but not in cells that would assume other roles. These experiments are possible with C. elegans because the final role, or ‘fate’, of each cell in the body are already known, all the way from the fertilized egg to the adult.

Further work, using genetically engineered worms revealed that ZTF-11 worked by turning off genes that are related to the development of non-nerve cells. Deleting the gene for ZTF-11 in immature nerve cells allowed these cells to turn on different sets of genes and resulted in adult worms with fewer mature nerve cells than normal worms. On the other hand, forcing other cell types (which would not normally become part of the nervous system) to produce ZTF-11 was sufficient to convert them into nerve cells.

These results are an important step forward in understanding how nerve cells are built in the developing body, especially how nerve cells can be made from other cell types. In the future, this knowledge could be used to help people with diseases of the nervous system, such as Parkinson’s disease.

Introduction

Transcriptional repressors such as RE1-silencing transcription factor (REST) and Hairy/Enhancer of Split (Hes) repress neuronal genes in non-neuronal cells (Ballas et al., 2005; Chen et al., 1998; Chong et al., 1995; Grill et al., 2012; Ishibashi et al., 1995; Ohsako et al., 1994; Schoenherr and Anderson, 1995). However, it is unknown whether transcriptional repressors of non-neuronal genes are required in neuronal precursors to specify neuronal fate during development. The Myt1 family of C2HC-type zinc finger transcription factors contributes to fibroblast to neuron reprogramming in vitro by repressing Notch signaling (Bellefroid et al., 1996; Mall et al., 2017; Vasconcelos et al., 2016; Vierbuchen et al., 2010). The Myt1 family factors were first shown to regulate neurogenesis in Xenopus gastrula embryos, where X-MyT1 is expressed in neuronal precursors along with classical proneural genes (Bellefroid et al., 1996). Mammalian Myt1 family proteins, Myt1, Myt1l, and St18, are also highly expressed in developing nervous systems and are required for proper migration of neuronal precursors into the subventricular zone and cortical plate (Mall et al., 2017; Vasconcelos et al., 2016). Myt1 transcriptionally represses Notch signaling, primarily by repressing the transcription factor Hes1, which inhibits neuronal cell fate (Mall et al., 2017; Vasconcelos et al., 2016). The ability of Notch intracellular domain to repress neurogenesis is neutralized by overexpression of Myt1 family proteins (Bellefroid et al., 1996; Mall et al., 2017). Based on these results, it has been proposed that Myt1 family proteins counteract lateral inhibition and subsequently commit neuronal progenitors to terminal differentiation.

Recent in vitro studies showed that Myt1l, together with the proneural gene Ascl1 and the neuronal transcription factor Brn2, are sufficient to induce transdifferentiation (TD) into neurons from various cell types (Masserdotti et al., 2016; Vierbuchen et al., 2010; Wapinski et al., 2013). Interestingly, a number of non-neuronal mouse embryonic fibroblast (MEF) signature genes were also found to be repressed by Myt1l during neuronal transdifferentiation. Furthermore, co-expression of Myt1l reduced efficiency of MyoD-induced myocyte differentiation in vitro (Mall et al., 2017). Consistent with a role for Mytl1 in transcriptional repression during neuronal transdifferentiation, Myt1l was found to be associated with transcriptional corepressor complexes, including the Sin3 histone deacetylase complex (Sin3-HDAC), to mediate repression of non-neuronal genes (Romm et al., 2005). Redundancy between Myt1 family proteins has prevented mouse models from providing insight into the developmental functions of Myt1 (Wang et al., 2007). As a result, the in vivo functions of Myt1 family proteins during development remain poorly understood.

In C. elegans, ZTF-11 is the sole Myt1 family homolog containing the characteristic C2HC zinc finger domains. The DNA-binding zinc finger domains of ZTF-11 exhibit a high degree of conservation in amino acid sequence compared to other Myt1 family members (Figure 1—figure supplement 1). Both ZTF-11 and vertebrate Myt1 family proteins recognize the same consensus sequence (AAGTT) in vitro (Mall et al., 2017; Narasimhan et al., 2015; Vasconcelos et al., 2016). Apart from the zinc finger domains, ZTF-11 and other Myt1 family proteins are poorly conserved in sequence, including regions that interact with the Sin-3-HDAC complex (Mall et al., 2017; Romm et al., 2005) (Figure 1—figure supplement 1).

Here, we demonstrate that a Myt1 family protein is required for in vivo developmental neurogenesis of specific lineages as well as transdifferentiation by characterizing the in vivo functions of ztf-11. We found that ZTF-11 is expressed exclusively in neuronal precursors at single-cell resolution during embryonic and postembryonic neurogenesis. Remarkably, ZTF-11 is required for epithelial-to-neuronal transdifferentiation during C. elegans development, suggesting that in vivo transdifferentiation utilizes genetic programs similar to those required for neuronal reprogramming in vitro. We also found that ZTF-11 is necessary and sufficient for postembryonic neurogenesis from a non-neuronal precursor. In these lineages, we show that ztf-11 represses expression of non-neuronal genes to allow establishment of neuronal identity. Unexpectedly, ztf-11 does not function as a repressor of the Hes1 ortholog lin-22 in this context. Instead, our genetic data support the model that ZTF-11 acts downstream of Hes1 to promote neuronal differentiation. We further show that ZTF-11 mediates transcriptional repression through directly binding to MuvB co-repressor complex, but not the Sin3-HDAC complex. Taken together, our results indicate that neurogenesis requires repression of non-neuronal programs by Myt1 family proteins in addition to activation of neuronal programs.

Results

Myt1 family homolog ZTF-11 is expressed in neural precursors

To investigate the role of ztf-11 in development, we first examined the expression pattern of ZTF-11 by endogenously tagging ztf-11 with a C-terminal GFP via CRISPR/Cas9 genome editing. To facilitate Cre recombinase-mediated conditional knock-outs, we used the same approach to insert two loxP sites in the first intron and 3’UTR of ztf-11::gfp (Figure 1A). Insertion of GFP and loxP sites in the ztf-11 locus did not yield any overt phenotypes. In comparison, a deletion spanning one of two zinc-finger domains (tm2315), which likely abolished DNA binding, was homozygous lethal and produced severely paralyzed, developmentally arrested L1 larvae when maintained with the hT2 balancer chromosome (data not shown). As expected, we found that ZTF-11::GFP fluorescence was predominantly localized to nuclei (Figure 1B).

Figure 1. Myt1 family homolog ZTF-11 is expressed in neuronal precursors.

(A) Schematic showing ztf-11::gfp (wy1100). ZF, C2HC zinc-finger domain. ZF1, ZF1 zinc-finger domain. Magenta line underneath the second ZF denotes the area deleted in tm2315. See also Figure 1—figure supplement 1 for evolutionary conservation of Myt1 family proteins. (B) ZTF-11::GFP expression in neuronal precursor populations during embryogenesis. Also see Video 1. (C) Quantification of ZTF-11::GFP expressing cells in neuronal precursors and non-neuronal precursors at 350 cell stage. A neuronal precursor was defined by any cells giving rise to non-pharyngeal neurons. (D) Selected lineage diagrams showing correlation between ZTF-11::GFP expression and terminal cell fates in selected sub-lineages. Each dot under the line represents the ultimate cellular fate. In many cases, cells undergo additional round of cell division past automated lineage tracing and result in two daughter cells (indicated by two dots under each line). See also Supplementary file 1 for full lineage diagram with ZTF-11::GFP expression and their terminal fates.

Figure 1.

Figure 1—figure supplement 1. Myt1 family proteins share conserved C2HC zinc-finger domains.

Figure 1—figure supplement 1.

(A) Amino acid conservation of C2HC zinc-finger domains from representative Myt1 family proteins. Identical amino acid are in red and conserved amino acids are in yellow. Note the zinc ion stabilizing residues that define C2HC zinc-finger. Alignment was generated using T-Coffee and visualized by ESPript. (B) Constraint-based Multiple Alignment (COBALT) of representative Myt1 family proteins. Strongly conserved regions are in red, weakly conserved regions are in blue, and non-conserved regions are in gray.
Figure 1—figure supplement 2. ZTF-11 is expressed in postembryonic neuroectoblasts.

Figure 1—figure supplement 2.

Representative confocal images of endogenous ZTF-11 expression during early larval development. Cells were identified based on lineage and position.

Myt1 family transcription factors have been shown to be expressed early in neural precursors in the neural plate of Xenopus gastrula embryos and the developing CNS of rat embryos (Bellefroid et al., 1996; Kim et al., 1997). As with vertebrate orthologs, we found that ZTF-11::GFP is expressed in neural precursors starting in the mid-gastrula embryo (~100-cell stage) (Figure 1B and Video 1). ZTF-11::GFP expression was strongest during the late gastrula to lima-bean embryonic stages, coinciding with the birth of most embryonically generated neurons. ZTF-11::GFP expression became weaker in subsequent stages of embryogenesis. Around the time of hatching, ZTF-11::GFP could only be detected in a small number of neuronal nuclei. Post-embryonic ZTF-11::GFP expression showed a similar pattern; ZTF-11::GFP expression was transiently observed in postembryonic neuroectoblasts, such as Pn, Q, and V5 cells, but was quickly extinguished in postmitotic neurons (Figure 1—figure supplement 2). Together, these data suggest that ZTF-11 is transiently expressed in neuronal precursors and postmitotic neurons.

Video 1. ZTF-11 expression in developing C. elegans embryo.

Download video file (14.7MB, mp4)
DOI: 10.7554/eLife.46703.006

We next performed embryonic lineage tracing with 4-D microscopy to further characterize ztf-11 expression with single-cell resolution. The invariant cell division patterns during embryogenesis made it possible to reliably track cell lineage with a nuclear marker (Bao et al., 2006; Sulston et al., 1983). Examining ZTF-11::GFP fluorescence throughout embryonic development, we found that ztf-11 is expressed in the vast majority of lineages that generate neurons but is rarely expressed in lineages that do not produce neurons (Figure 1C, also see Supplementary file 1 for full lineage diagram). At the 350-cell stage, 126 of 145 (87%) neuronal precursor cells expressed ZTF-11::GFP. All six neuroectoblasts (P7/8, P5/6, and P3/4) that did not express ZTF-11 at the 350-cell stage showed postembryonic expression of ZTF-11. In contrast, only 15 of 195 (7%) non-neuronal precursor cells expressed ZTF-11::GFP. In C. elegans, the majority of neurons are generated from the neuroectodermal AB lineage, while a small number of neurons are produced by other lineages (Sulston et al., 1983). Strong correlations between ztf-11 expression and neuronal cell fate were evident in all branches of the lineages at single-cell resolution (Figure 1D). These observations suggest that ZTF-11 plays a broad role in neurogenesis.

ZTF-11 is a direct transcriptional target of proneural bHLH genes

The expression pattern of the Myt1 family proteins closely follows proneural bHLH (basic helix-loop-helix) genes in vertebrate systems (Bellefroid et al., 1996; Kim et al., 1997). The vertebrate Myt1 family proteins are direct transcriptional targets of proneural genes, including Ascl1 (Mall et al., 2017; Vasconcelos et al., 2016; Wapinski et al., 2013). C. elegans proneural genes are conserved through evolution and act as master regulators of neurogenesis. These proneural genes are expressed in neuronal precursors and differentiating neurons (Frank et al., 2003; Hallam et al., 2000; Murray et al., 2012; Zhao and Emmons, 1995). To investigate whether neural precursor-specific expression of ZTF-11 was directly controlled by proneural genes in C. elegans, we first asked whether proneural genes are required for ZTF-11 expression.

All C. elegans proneural genes, including HLH-3/Achaete-Scute, LIN-32/Atonal, NGN-1/neurogenin, and CND-1/NeuroD, form heterodimers with HLH-2/Daughterless and bind to canonical E-boxes (CANNTG) to regulate transcription of target genes (Grove et al., 2009). We tested whether hlh-2 functions with proneural genes to regulate ztf-11 expression. Since hlh-2 is linked to ztf-11, we constructed a ztf-11 transcriptional reporter fusion by placing the ztf-11 promoter upstream of Histone::GFP (HIS::GFP) and confirmed that the transcriptional reporter reproduces the endogenous expression pattern of ZTF-11 (Figure 2—figure supplement 1). We found that hypomorphic hlh-2(tm1768) mutant showed a strong reduction of ztf-11 transcriptional reporter signal (78%) in comparison to wild type (Figure 2A), suggesting that hlh-2 is required for proper expression of ztf-11. In contrast to the essential hlh-2, the proneural dimer partners of HLH-2 are redundantly expressed at early stages of neuronal development (Grove et al., 2009; Murray et al., 2012). Consistent with this redundancy, endogenous ZTF-11::GFP expression was largely unperturbed in single mutants of hlh-3(ot354), cnd-1(ju29) or ngn-1(ok2200) (data not shown). We found that lin-32(n372) mutant showed loss of ZTF-11 expression in the postembryonic postdeirid lineage, where LIN-32 functions to generate sensory neurons (Figure 8A).

Figure 2. ZTF-11 is a direct transcriptional target of proneural bHLH genes.

(A) ztf-11 transcriptional reporter expression in head neurons is strongly decreased in E/daughterless homolog hlh-2(tm1768) hypomorphic mutant. Left, representative confocal images of ztf-11 transcriptional reporter in wt or hlh-2. Synchronized early L1 animals were used in the experiment. Right, transcriptional activity was measured in total GFP intensity within each animal’s head (white dashed outlines), n = 20 and 22, respectively. Error bars, S.D. ****p<0.0005, Student’s t-test two-tailed. See Figure 2—source data 1 for numerical data. (B) E-boxes are required for ZTF-11 transcriptional reporter expression. wt, wild-type ztf-11 promoter driving GFP and mCherry reporters. ΔE-box, 8 E-box sequences (CANNTG) nearest to ztf-11 tss were mutated to ACnnAG for GFP driving promoter, mCherry expression is under wild-type ztf-11 promoter as expression level control. Synchronized early L1 animals were used in the experiment. Left, representative confocal images. Right, relative intensities between GFP and mCherry within each animal’s head (white dashed outlines) were quantified. n = 10 each. Error bars, S.E.M. **p<0.05, Student’s t-test two-tailed. See Figure 2—source data 2 for numerical data.

Figure 2—source data 1. Raw fluorescence intensity values of ZTF-11 transcriptional reporter in wild-type or hlh-2(tm1768) animals.
DOI: 10.7554/eLife.46703.009
Figure 2—source data 2. Normalized fluorescence intensity values of wild-type or ∆E-box transcriptional reporters.
DOI: 10.7554/eLife.46703.010

Figure 2.

Figure 2—figure supplement 1. Expression pattern of ZTF-11 transcriptional reporter.

Figure 2—figure supplement 1.

ZTF-11 transcriptional reporter (magenta) colocalizes with endogenous ZTF-11::GFP (green) in the embryo. Control ZTF-11 promoter fusion construct used in Figure 2 was used to generate ZTF-11 transcriptional reporter.

Furthermore, we identified multiple canonical E-box sequences upstream of the ztf-11 coding region (Figures 1A and 2B). Mutating these E-box sequences (CANNTG to ACNNAG) (∆E-box) caused a severe reduction (79%) of ∆E-box reporter signal compared to wild-type reporter (Figure 2B). These results are consistent with findings in vertebrates and suggest that proneural genes and HLH-2 together activate the expression of ztf-11 in neuronal precursors through the E-boxes in the ztf-11 promoter.

ZTF-11 is required for epithelial-to-neuronal transdifferentiation in vivo

We next investigated the requirement of ztf-11 for neuronal fate determination in three contexts: in vivo transdifferentiation, postembryonic neurogenesis, and embryonic neurogenesis. An epithelial-to-neuronal transdifferentiation event occurs invariantly during normal C. elegans development (Jarriault et al., 2008), providing a model for investigating genetic pathways involved in neuronal transdifferentiation in vivo. The rectal epithelial Y cell undergoes an epithelial-to-neuronal transdifferentiation event to form the motor neuron PDA in a stepwise process; epithelial identity is first lost and neuronal identity is subsequently acquired (Jarriault et al., 2008; White et al., 1986) (Figure 3A). At the L1 stage, the Y cell is part of the rectal epithelium. During the L2 stage, the Y cell gradually loses its epithelial fate (Y.0) while migrating anteriorly and gaining neuronal markers (Y.1). In the L3 stage, the Y cell becomes the PDA neuron and extends an axon while the P12.pa cell replaces the Y cell in the anal epithelium (Jarriault et al., 2008; Sulston and Horvitz, 1977; White et al., 1986) (Figure 3A–B).

Figure 3. ZTF-11 is required for epithelial-to-neuronal transdifferentiation in vivo.

(A) PDA neuron, located in preanal ganglion, arises from stereotyped transdifferentiation of rectal epithelial cell Y. (B) Schematic diagram of Y-to-PDA transdifferentiation event. Rectal epithelium Y cell withdraws from its rectal niche starting late L1 and loses epithelial markers to yield an intermediate cell (Y.0). During L2, Y gains neuronal markers and morphology (Y.1) to become mature PDA in L3. Meanwhile, P12.pa cell take place of Y in the rectal epithelium. Letter color code; magenta (epithelial), green (neuronal) (C) Representative images of ZTF-11::GFP expression during Y-PDA transdifferentiation. Rectal epithelium was labeled with egl-26 marker (magenta, rectal epithelium::mRuby::PH). (D) PDA marker, exp-1, expression in wild type (wt(-Cre)) or ztf-11 conditional knock-out (ztf-11 cKO). Dashed circle indicates the position of PDA cell body. (E) Y cell marker, egl-26, expression in wild type (wt(-Cre)) or ztf-11 conditional knock-out (ztf-11 cKO). Magenta dashed line outlines the retained Y cell. See also Figure 3—figure supplement 1 for exclusivity between PDA marker (cog-1) and rectal epithelium marker (col-34). (F) Quantification of PDA marker (exp-1) loss (from D) and Y marker retention (from E) phenotypes.

Figure 3.

Figure 3—figure supplement 1. Rectal epithelial and neuronal fates are mutually exclusive during transdifferentiation.

Figure 3—figure supplement 1.

PDA (cog-1) and rectal epithelium (col-34) markers are shown in wild type (without Cre recombinase expression) or conditional knock-out (Cre expression in Y cell) mutant. Green arrows, PDA. Magenta Arrows, retained Y cell. Note that P12.pa cell, which replaces Y in wild type, fails to localize to its rectal niche.

We first asked whether ZTF-11 functions during the Y-PDA transdifferentiation event. Using the endogenously-tagged ZTF-11::GFP, we found that ztf-11 was expressed in the Y cell in early L2 animals at the start of the transdifferentiation process (Figure 3C). ZTF-11 expression coincided with the initial withdrawal of the Y cell from the rectum, suggesting that ZTF-11 may mediate the early dedifferentiation step of transdifferentiation (Y.0). We next asked if ztf-11 is required for transdifferentiation by generating a conditional deletion strain, in which we used egl-26::Cre to delete ztf-11 from the Y cell in the postembryonic lineage. Conditional deletion of ztf-11 in the Y cell led to the loss of PDA neuronal markers, including EXP-1 and COG-1, suggesting that PDA was not generated (Figure 3D,F, and Figure 3—figure supplement 1).

We next asked whether the transdifferentiation defect is due to a failure to eliminate epithelial identity or to acquire neuronal identity. We found that epithelial markers in the Y cell (EGL-26 and COL-34) persisted throughout development in ztf-11 cKO animals (Figure 3E and Figure 3—figure supplement 1). Moreover, the persistent Y cell in ztf-11 cKO animals retained its original rectal niche location and morphology during development (Figure 3E–F). These results argue that ztf-11 functions to eliminate epithelial identity in the Y cell and allows for subsequent acquisition of neuronal PDA identity. This results are in accordance with Myt1l’s function in in vitro neuronal transdifferentiation (Mall et al., 2017; Vierbuchen et al., 2010). While mammalian models of in vivo neuronal transdifferentiation have not yet been described, Myt1 family factors may function as key evolutionarily conserved repressive factors in transdifferentiation events.

ZTF-11 is required for loss of epithelial identity and subsequent neuronal differentiation in sensory organ development

Neurogenesis via developmental transdifferentiation is rare in the animal kingdom. Most neurons are generated through asymmetric cell divisions and quickly adopt a neuronal cell fate after mitosis. We next assessed ztf-11’s function in this more common cellular pathway of neurogenesis by studying a postembryonic neuronal lineage. The C. elegans postdeirid is a simple sensory organ comprised of two morphologically and functionally distinct sensory neurons, PVD and PDE, and a pair of sheath (PDEsh) and socket (PDEso) glia that support the PDE sensory dendrite (White et al., 1986). These four cells are born postembryonically from the V5 seam cell, which forms part of the lateral epidermis (Figure 4A–B and Figure 4—figure supplement 2A–B). Unlike V5 or tail T lineages, parallel lateral epidermal seam cells of V lineages (V1-4 and V6) do not give rise to any neural progeny (Sulston and Horvitz, 1977). Previous genetic studies have identified mutations in lin-32, the homolog of Drosophila atonal and mammalian Atoh1, which cause the V5 lineage to lose postdeirid neuroblast cell fate and instead to adopt a V1-4-like cell fate, establishing LIN-32 as the master regulator of postdeirid development (Kenyon, 1986; Zhao and Emmons, 1995). It is interesting to note that homologs of the atonal family of proneural bHLH factors function in the development of various mechanosensory modalities, including mammalian inner ear hair cells (Bermingham et al., 1999), Drosophila chordotonal organs (Jarman et al., 1993), and the C. elegans postdeirid and male sensory rays (Zhao and Emmons, 1995), suggesting that atonal family bHLH genes drive a conserved genetic program.

Figure 4. ZTF-11 is required for loss of epithelial identity and subsequent neuronal differentiation in sensory organ development.

(A) ztf-11 and lin-32 are expressed during postdeirid development. Both genes are expressed throughout postdeirid neuroblast (V5.pa) divisions to yield two neuron and two glia. See also Figure 4—figure supplement 1 for full sequence of ztf-11 and lin-32 expression during postdeirid development. (B) V lineage diagram showing cell divisions resulting in postdeirid neurogenesis during L2 larval development. In contrast to V1-4, V5 dynamically expresses ZTF-11 and LIN-32 during neurogenesis. V5 and other seams cells undergo asymmetric cell divisions where the posterior daughters remain as seam cells and the anterior daughters join the epidermal syncytium (hyp7). Line colors denote expression of lin-32 or ztf-11. Letter color code; black (epithelial), magenta (neuronal), pink (glial). (C) PVD marker, ser-2, expression in wild type (wt(-Cre)) or ztf-11 conditional knock-out (ztf-11 cKO). Note that lin-32-expressing nuclei are still present, suggesting that postdeirid cells are born, but fails to adopt neuronal fate. (D) Seam cell marker, scm (wIs78), expression in wild-type expression in wild type (wt(-Cre)) or ztf-11 conditional knock-out (ztf-11 cKO). For C and D, postdeirid cells are labeled with lin-32 marker. (E) Quantification of missing PVD phenotype from C. (F) Quantification of seam cell fate retention phenotype. n = 50 for each genotype. See Figure 4—source data 1 for numerical data.

Figure 4—source data 1. Number of cell nuclei expressing both LIN-32 and SCM fate markers.
DOI: 10.7554/eLife.46703.016
Figure 4—source data 2. Raw fluorescence intensity values of floxed ZTF-11::GFP in wild-type(-cre) or ztf-11 cKO animals.
DOI: 10.7554/eLife.46703.017

Figure 4.

Figure 4—figure supplement 1. ZTF-11 functions in an epithelial precursor to promote development of a simple sensory organ.

Figure 4—figure supplement 1.

(A) Schematic illustration of postdeirid development. A precursor from V5 seam cell lineage gives rise to two neurons and two glia driven by Atoh1 homolog lin-32. (B) Representative confocal image of postdeirid. Two neurons (PVD and PDE) and two glia (PDEso and PDEsh) are labeled by ser-2 (green) and ram-5 (magenta) markers, respectively. (C) Representative confocal images of postdeirid development showing every cell divisions and expression of LIN-32 and ZTF-11 in each cells.
Figure 4—figure supplement 2. Neuronal and glial cell fates are lost in ztf-11 conditional knock-out.

Figure 4—figure supplement 2.

(A) Representative images of ztf-11 conditional knockout by Cre-lox system. (B) Efficiency of conditional knock-out were quantified by GFP intensity in four postdeirid cells during ‘rosette stage’, composed of PDE, PDEso, PDEsh, and PVD mother cell. n = 20 each. Error bars, S.D. Student’s t-test, two tailed, ****p<0.0005 (C) Quantification of respective cell fate marker from D-F. For rab-3 marker, often only one cell lost its expression (categorized as ‘single’). (D) Representative confocal image of PDE marker, dat-1, expression in wild type (wt(-Cre)) or ztf-11 conditional knock-out (ztf-11 cKO). (E) Representative confocal image of pan-neuronal marker, rab-3, expression in wild type (wt(-Cre)) or ztf-11 conditional knock-out (ztf-11 cKO). (F) Representative confocal image of glial marker, mir-228, expression in wild type (wt(-Cre)) or ztf-11 conditional knock-out (ztf-11 cKO). Note that mir-228 expression is only lost in PDEso and PDEsh but not in seam cell V4.

To investigate the expression pattern of ZTF-11 in V5 postdeirid lineage in detail, we followed the V5 lineage using two fluorescent markers, endogenously labeled ZTF-11::GFP and HIS:mCherry driven by the lin-32 promoter. Starting from mid L1, ZTF-11::GFP was observed in the posterior daughter cell of V5, which gives rise to the neurons, but not in V1-4 nor in the anterior daughter of V5, which generate epidermal cells (hyp7) and seam cells. Within the V5 lineage, ZTF-11::GFP was maintained in neurons and glia but turned off in the non-neuronal precursors (Figure 4A–B and Figure 4—figure supplement 1C). Unexpectedly, the lin-32 transcriptional reporter showed dynamic expression in the V5 lineage. lin-32 expression was detected prior to expression of ZTF-11::GFP. However, lin-32 could not be detected in late L1, while ZTF-11 expression was maintained throughout. lin-32 reappeared again in the postdeirid neuroblast V5.pa, but not in epithelial sister V5.pp (Figure 4B and Figure 4—figure supplement 1C). While the significance of the lin-32 expression dynamics remains unclear, both LIN-32 and subsequent ZTF-11 expression were correlated with neuronal and glial cell fate.

To investigate the role of ZTF-11 in postdeirid neurogenesis, we generated a seam cell-specific ztf-11 conditional knock-out (cKO) by expressing Cre recombinase under the seam-cell-specific nhr-81 promoter to excise the ZTF-11::GFP locus. To determine efficiency of the ztf-11 cKO, we measured ZTF-11::GFP intensity in the postdeirid lineage. We found near complete loss of ZTF-11::GFP expression in 70% of cKO animals. However, 30% of cKO animals showed only partial knock-down that fell within the wild type range of ZTF-11 expression, likely due to perdurance of ztf-11 mRNA or protein (Figure 4—figure supplement 1A–B). Partial penetrance observed in subsequent phenotypic analyses of ztf-11 cKO was most likely attributable to these limitations of the cKO approach.

We first scored neuronal reporters to examine whether the postdeirid neurons, PVD and PDE, could adopt a neuronal fate in the absence of ZTF-11. We found that approximately 50% of PVD and PDE neurons had lost their neuronal fate, as reflected by loss of the respective cell-type-specific markers, ser-2 and dat-1, as well as loss of the pan-neuronal rab-3 marker (Figure 4C and E, and Figure 4—figure supplement 1C–E). Additionally, we found a similar loss of glial markers from the socket and sheath glia that function with the PDE neuron (Figure 4—figure supplement 1F), suggesting that ZTF-11 is also required for glial fate in the postdeirid lineage. The number of LIN-32-expressing V5 lineage cells was unchanged in ztf-11 cKO animals (Figure 4C–D), indicating that V5 lineage cells still undergo the stereotyped cell divisions that would generate neurons and glia in wild-type animals. This is in contrast to lin-32 mutants, which do not go through postdeirid cell divisions, and instead exclusively adopt epithelial V1-4-like lineages (Kenyon, 1986; Zhao and Emmons, 1995).

Since the neurons and glia of the postdeirid originate from an epithelial precursor, proper differentiation into their terminal fate likely requires both the loss of epithelial identity and the acquisition of neuronal/glial identities, similar to transdifferentiation. In wild-type animals, the expression of the seam cell fate marker SCM::GFP is invariably lost in lin-32-positive postdeirid cells as they acquire neuronal/glial fate. Strikingly, in ztf-11 cKO animals, we observed that some lin-32-positive postdeirid cells retained seam cell fate marker expression (Figure 4D and F), suggesting that ztf-11 was required for the removal of epithelial identity preceding the acquisition of neuronal identity. These data are consistent with the notion that ZTF-11 plays a role in eliminating epithelial fate in differentiating V5 lineage cells.

ZTF-11 is sufficient to generate neurons from epithelial cells by repressing epithelial identity

We next asked whether ztf-11 was sufficient to produce neurons. We ectopically expressed ZTF-11 in non-neurogenic V1-4 seam cells where ztf-11 is not normally expressed. Remarkably, we found that ectopic expression of ZTF-11 led to transformation into a neuronal lineage. In 45% of transgenic animals expressing ZTF-11 in seam cells, we found additional cells expressing the PVD cell marker anterior to the wild-type PVD (Figure 5A). In addition, ectopic PVD-like cells showed the characteristic ‘dendritic menorah’ morphology of PVD neurons (Albeg et al., 2011). The positions of the ectopic PVDs were consistent with positions of V1-4 seam cell precursors (Figure 5A–B). Similarly, additional PDE-like cells were identified based on the presence of the PDE cell marker and PDE morphology (Figure 5C–D). In contrast to the proneural activity of ZTF-11, additional glia-like cells could not be identified (Figure 5D), suggesting additional requirements for glia development.

Figure 5. ZTF-11 is sufficient to generate neurons from epithelial cells by repressing epithelial identity.

(A) Representative confocal image showing proneural activity of ZTF-11. ZTF-11 was expressed in seam cells resulting in epithelial seam cell lineages to produce PVD neuron-like cells. Red boxes, ZTF-11-induced PVD-like cells, zoomed in below images. Star, wild type PVD cell body. (B) Quantification of ZTF-11 proneural activity in wild type (wt) or lin-32 (u282) genetic background. n = 100, 158, 100, 100, respectively. Error bars are 95% Wilson-Brown C.I. See Figure 5—source data 1 for numerical data. (C) Confocal images of ZTF-11 induced PDE-like cells (white arrows) from epithelial seam cell images. ‘Clusters’ multiple PDE-like cells were often found in close proximity (>100 μm). (D) Quantification of ZTF-11 proneural or proglial activities based on PDE marker or glial markers. (E) Representative confocal images showing seam cell identity repression by ZTF-11. ZTF-11 was expressed in seam cells resulting in repression of seam cell identities. Number of SCM-positive seam cell nuclei was reduced. Gaps in seam cell syncytium are visible with apical junction marker, ajm-1. (F) Quantification of seam cell syncytium gaps in wild type (wt) or lin-32 (u282) genetic backgrounds. Error bars are 95% Wilson-Brown C.I. n = 100, 111, 100, 93, respectively. n.s., p>0.05, binomial test. See Figure 5—source data 2 for numerical data. (G) ZTF-11 and LIN-32 function in parallel to repress epithelial identity and activate neuronal identity in V5 lineage to produce postdeirid cells.

Figure 5—source data 1. Number of counted animals of each genotype with associated phenotypes.
DOI: 10.7554/eLife.46703.020
Figure 5—source data 2. Number of counted animals of each genotype with associated phenotypes.
DOI: 10.7554/eLife.46703.021
Figure 5—source data 3. Raw counts of cells counted with associated phenotypes.
DOI: 10.7554/eLife.46703.022

Figure 5.

Figure 5—figure supplement 1. ZTF-11-induced ectopic neurons, but not non-neuronal cells, express LIN-32.

Figure 5—figure supplement 1.

(A) Expression of LIN-32 transcriptional reporter in ZTF-11-induced ectopic neurons. Ectopic neurons were defined as ectopic PVD::GFP expressing cells extending neurite-like processes as shown here. Arrows, LIN-32-positive ectopic neuronal nuclei. (B) Expression of LIN-32 transcriptional reporter in ZTF-11-expressing non-neuronal cells. ZTF-11-expressing non-neuronal cells were defined as cells expressing nuclear ZTF-11::GFP but not PVD::GFP marker. Arrowhead, non-neuronal ZTF-11::GFP-expressing cell. Asterisk, dendrite from PVD, note that this PVD::GFP-labeled neurite is not emanating from the non-neuronal cell. (C) Quantification of LIN-32 expressing cells in ectopic neurons (A) or non-neuronal cells (B). n = 26, 56 cells, respectively. Error bars, 95% Wilson-Brown C.I. Binomial test, ****p<0.0001. See Figure 5—source data 3 for numerical data.

Our genetic data suggested that ZTF-11 is required to eliminate epithelial identity in developing neurons and glial cells. We next asked whether ztf-11 is sufficient to eliminate epithelial identity by ectopically expressing ZTF-11 in seam cell lineages. In animals ectopically expressing ZTF-11 in seam cells, we indeed found that some seam cells lost their identity marker (Figure 5E–F). Seam cells fuse in adult C. elegans to form a continuous syncytium (Sulston and Horvitz, 1977). Using the apical junction marker AJM-1::GFP, we found that the loss of seam cell identity resulted in ‘gaps’ in the seam cell syncytium (Figure 5E–F), suggesting that ztf-11 is capable of eliminating epithelial identity and function.

To investigate the proneural mechanism of ZTF-11 further, we tested whether ZTF-11 requires LIN-32 for its proneural activity in V1-4 lineages. Ectopic PVD-like cells could not be generated by ZTF-11 overexpression in the lin-32(u282) loss of function background (Figure 5B), suggesting that the proneural activity of ZTF-11 depends on proneural bHLH function. Consistent with the requirement for LIN-32, we found that the ectopic neurons induced by misexpression of ZTF-11 turned on lin-32 transcriptional reporter, whereas ZTF-11::GFP-positive non-neuronal cells did not (Figure 5—figure supplement 1), suggesting that ZTF-11 overexpression can induce expression of LIN-32 to drive neuronal fate. In contrast, we found that ZTF-11 continued to eliminate epithelial identity in the lin-32(u282) mutant (Figure 5F). These results indicate that ZTF-11 can induce LIN-32 to specify neuronal and glial cell fate in certain circumstances. While LIN-32 promotes the ‘neuronal’ features, ZTF-11 helps to erase epithelial identity from prospective neuronal/glial daughters of the V5 lineage (Figure 5G).

ZTF-11 is required for generating postembryonic neurons from multiple neuroectoblast lineages

Our genetic analysis revealed that ZTF-11 was important for eliminating epithelial identity during transdifferentiation of PDA neuron and neurogenesis from a neuroectoblast V5 lineage. We set out to assess whether ZTF-11 is required for neurogenesis from different postembryonic neuroectoblast lineages. We first asked whether postembryonic neurons generated during L1 larval development are present in ztf-11(tm2315) null mutant animals. QR/L neuroectoblast lineages contribute six postembryonic neurons (SDQR/L, AVM, PVM, AQR, and PQR) during the mid L1 stage (Sulston and Horvitz, 1977). Among them, AVM and PVM could be unambiguously identified as UNC-86 expressing nuclei based on their solitary positions (Finney and Ruvkun, 1990; Serrano-Saiz et al., 2018). We found that UNC-86 expression in the respective positions of AVM and PVM nuclei was invariantly lost in ztf-11(tm2315) late L1 animals (Figure 6B–D), suggesting that ZTF-11 is required for both AVM and PVM postembryonic neuronal fates. In contrast, UNC-86 expression was not lost in embryonic neurons such as ALM (Figure 6B). Additionally, G1 and K neuroectoblast lineages give rise to RMH and DVB neurons respectively during late L1 stage (Sulston and Horvitz, 1977). We again found loss of the respective cell fate markers for RMH (Figure 6B,E) and DVB (Figure 6B,F), SEM-2 (Vidal et al., 2015) and LIM-6 (Hobert et al., 1999), in ztf-11(tm2315) late L1 animals.

Figure 6. ZTF-11 is required for generating postembryonic neurons from multiple neuroectoblast lineages.

Figure 6.

(A) Locations of postembryonic neurons born during L1 larval development that were analyzed for this study. (B) Quantification of missing postembryonic neuron fate markers in ztf-11(tm2315) null mutants. Animals were synchronized to late L1 by bleaching and then fed for 20 hr prior to analyzing expression of respective cell fate markers (UNC-86::mNeonGreen for AVM and PVM, SEM-2::YFP for RMH, and LIM-6::YFP for DVB). (C) Expression of AVM marker, UNC-86, in late L1 animals of wild type or ztf-11(tm2315) null mutant. Dashed circle indicates the location of AVM neuron. Note that ALM, an embryonic neuron, is still generated in ztf-11(tm2315). (D) Expression of PVM marker, UNC-86, in late L1 animals of wild type or ztf-11(tm2315) null mutant. Dashed circle indicates the location of PVM neuron. (E) Expression of RMH marker, SEM-2, in late L1 animals of wild type or ztf-11(tm2315) null mutant. Dashed circle indicates the location of RMH neuron. (F) Expression of DVB marker, LIM-6, in late L1 animals of wild type or ztf-11(tm2315) null mutant. Dashed circle indicates the location of DVB neuron. Note that PVT, an embryonic neuron, is still generated in ztf-11(tm2315). (G) Expression of aminergic neuron marker, CAT-1, that labels VC4 and VC5 postembryonic serotonergic neurons in wild type or ztf-11 conditional knock-out (ztf-11 cKO) animals. (H) Quantification of numbers of ventral cord motor neurons by neurotransmitter types. Neurons were counted based on markers of respective neurotransmitter types. Aminergic neurons, pCAT-1::GFP expressing cells (postembryonic: VC4-5 (two neurons)). Cholinergic neurons, pUNC-17::GFP expressing cells (postembryonic: VA2-11, VB3-11, AS2-10, and VC1-6 (34 neurons), embryonic: DA2-7 and DB3-7 (11 neurons)). GABAergic neurons, pUNC-47::GFP expressing cells (postembryonic: VD1-13 (13 neurons), embryonic DD1-6 (six neurons)). All postembryonic ventral cord motor neurons are generated from Pn lineages. As ztf-11 was conditionally knocked-out in Pn lineages, any lost neurons were expected to be postembryonic (gray bars) rather than embryonic (black bars). Error bars are SD. ****p<0.0001, *p<0.05, Student’s t-test two-tailed, n = 40, 119, respectively for aminergic neurons, 22, 61, respectively for cholinergic neurons, 20, 53 animals, respectively for cholinergic neurons. See Figure 6—source data 1 for numerical data.

Figure 6—source data 1. Raw counts of neurons expressing respective neurotransmitter markers in wild-type (-cre) or ztf-11 cKO animals.
DOI: 10.7554/eLife.46703.024

We next examined the postembryonic ventral cord motor neurons (VMNs). P1-12 (Pn) cells form the ventral epidermis of the newly hatched animal. During the late L1 stage, Pn cells give rise to postembryonic VMNs of the VA, VB, AS, VD, and VC classes (Sulston and Horvitz, 1977). To ask whether ZTF-11 is required for generating postembryonic VMNs, we examined condition knockouts of ZTF-11 in Pn lineages by expressing Cre in the epidermis (Kage-Nakadai et al., 2014). The VMNs can be further classified based on their respective neurotransmitters, acetylcholine, GABA, or monoamine (serotonin). We counted the total number of VMNs expressing each neurotransmitter marker. Aminergic VMNs (two serotonergic VC4-5 neurons) are exclusively postembryonically born (Duerr et al., 1999; Sulston and Horvitz, 1977). We found that the aminergic neuron marker CAT-1 was largely lost (89% of animals) in VC4-5, suggesting that ZTF-11 is required for VC4-5 fates. In contrast to amingergic VMNs, cholinergic or GABAergic VMNs are comprised of both embryonic and postembryonic neurons (McIntire et al., 1993; Pereira et al., 2015; Sulston and Horvitz, 1977; Sulston et al., 1983). However, any loss of neuronal markers in this experiment was likely exclusively due to postembryonic neuron defects, as ZTF-11 was conditionally knocked out in only Pn lineages. With cholinergic (CHO-1) and GABAergic (UNC-47) neuronal markers, we found more subtle decreases in total cholinergic (19%) or GABAergic (5%) VMNs in ztf-11 cKO animals. Unlike cholinergic or GABAergic postembryonic VMNs, VC4-5 neurons do not mature until the late L4 stage and maintain expression of ZTF-11 into adulthood (data not shown), which may account for their stronger requirement for ZTF-11. Taken together, our loss-of-function analysis suggest that ZTF-11 functions in multiple neuroectoblast lineages to specify postembryonic neuronal identities.

ZTF-11 is mostly dispensable for embryonic neurogenesis but not for neuronal function

In many postembryonic lineages, neurons are generated from precursor cells, which are differentiated cells such as the rectal epithelial Y cell or the V5 precursor cell (seam cell). In contrast, the majority of embryonic neurons are generated from short-lived precursor cells through rapid cell divisions (Sulston et al., 1983). We next investigated the role of ztf-11 in embryonic neurogenesis. Using a pan-neuronal RAB-3 marker, we found that most embryonic neurons are born and obtain neuronal fate in ztf-11 mutants (Figure 7A). The small size of the L1 animals made it difficult to determine the exact number of RAB-3 expressing nuclei, especially amongst densely packed neurons in cephalic ganglia. We instead counted the number of embryonic motor neurons in the ventral cord, which could be unambiguously identified from rab-3 expressing nuclei along the length of the animal (White et al., 1976). We found that there was a small (2%) loss of rab-3 expressing nuclei in the ventral cord, suggesting that ZTF-11 is mostly dispensable for neuronal fate acquisition during embryogenesis (Figure 7B). To account for potential maternal contribution of ZTF-11, we additionally knocked down ZTF-11 in ztf-11(tm2315)/hT2 heterozygote mothers by feeding RNAi and found that their ztf-11(tm2315) homozygote progeny still generated a normal number of embryonic VMNs (Figure 7B).

Figure 7. ZTF-11 is mostly dispensable for embryonic neurogenesis.

(A) Pan-neuronal marker expression in wild type and ztf-11(tm2315) L1 larva. Arrowheads point to embryonic ventral cord motor neurons. (B) Number of embryonic ventral cord motor neurons is slightly reduced in ztf-11(tm2315) or ztf-11(tm2315) further treated with feeding RNAi against maternal ZTF-11. Neurons were counted based on pan-neuronal RAB-3 marker expression. Error bars are SD. ****p<0.0001, n.s, p>0.05 Student’s t-test two-tailed, n = 79, 80, 50 animals respectively. See Figure 7—source data 1 for numerical data. (C) ZTF-11 is mostly dispensable for embryonic cholinergic neurons in the head. Left, expression of cholinergic neuron marker, CHO-1, in wild type or ztf-11(tm2315). Right, quantification of counted CHO-1-expressing neurons. (D) ZTF-11 is mostly dispensable for embryonic glutamatergic neurons in the head. Left, expression of glutamatergic neuron marker, EAT-4, in wild type or ztf-11(tm2315). Right, quantification of counted EAT-4-expressing neurons. (E) ZTF-11 is mostly dispensable for embryonic GABAergic neurons in the head. Left, expression of GABAergic neuron marker, UNC-47, in wild type or ztf-11(tm2315). Right, quantification of counted UNC47-expressing neurons. (F) ZTF-11 is mostly dispensable for embryonic aminergic neurons in the head. Left, expression of aminergic neuron marker, CAT-1, in wild type or ztf-11(tm2315). Right, quantification of counted CAT-1-expressing neurons. RIH neuron was very weakly labeled by CAT-1 and only occasionally counted. (C–F) Synchronized early L1 animals by bleaching were used for experiments. Error bars are SD. n.s, p>0.05 Student’s t-test two-tailed, n = 20 animals each. See Figure 7—source data 2 for numerical data.

Figure 7—source data 1. Raw counts of RAB-3 expressing nuclei in animals of each genotypes.
DOI: 10.7554/eLife.46703.027
Figure 7—source data 2. Raw counts of nuclei expressing respective neurotransmitter markers in wild-type or ztf-11(tm2315) animals.
DOI: 10.7554/eLife.46703.028
Figure 7—source data 3. Raw counts of thrashes exhibited by animals of each genotypes.
DOI: 10.7554/eLife.46703.029

Figure 7.

Figure 7—figure supplement 1. Embryonic ZTF-11 is required for coordinated motility.

Figure 7—figure supplement 1.

Quantification of thrashing assay. Each alternate ‘C’ bends were counted as a thrashing motion. n = 20, 27, 13, respectively, Student’s two-tailed t-test, n.s., p>0.05. ****p<0.0001. See Figure 7—source data 3 for numerical data.

To further examine the requirement of ZTF-11 for embryonic neurogenesis, we counted the number of respective head neurons of four major neurotransmitter types (acetylcholine, glutamate, GABA, and monoamines) in wild type and ztf-11(tm2315) early L1 animals. Unfortunately, many cholinergic or glutamatergic head neurons were tightly clustered in early L1 animals, which could introduce systematic errors in counting. With this caveat, we did not find significant changes in cholinergic or glutamatergic head neurons in ztf-11(tm2315) mutant animals, suggesting that ZTF-11 might indeed be dispensable for neuronal fates of major neurotransmitter types. Taken together, these results indicate that ztf-11 is particularly important for neurons that are generated from epidermal lineages that have fully differentiated in both morphology and function.

Despite the near normal cell number, the ztf-11 deletion mutants showed near complete loss of movement. When maintained with the hT2 balancer chromosome, ztf-11(tm2315) heterozygous mothers produced homozygous mutant individuals that were completely immobile in bacterial lawns after hatching. ztf-11(tm2315) mutant individuals also invariantly did not develop any further after hatching, potentially due to feeding deficits. To measure defects in motility, we performed a thrashing assay in M9 buffer. We found that homozygous ztf-11(tm2315) mutant individuals showed near complete loss of thrashing motion and severely uncoordinated swimming motion (Figure 7—figure supplement 1). In comparison, heterozygous ztf-11(tm2315)/hT2 individuals did not show a significant change in the number of thrashes compared to wild type (N2) (Figure 7—figure supplement 1). These results raise the possibility that ztf-11 may be required for proper function of embryonic neurons.

ZTF-11 does not function through LIN-22/Hes1 repression

Next we investigated how ztf-11 specifies neuronal fate. Previous studies suggested that proneural genes induce neuronal fate while Notch signaling inhibits neurogenesis by inhibiting proneural genes (Bertrand et al., 2002; Lewis, 1998; Heitzler et al., 1996; Takebayashi et al., 1997). Myt1 family factors are induced by proneural genes and act as transcriptional repressors of Notch signaling, including the Notch effector gene Hes1 (Dhanesh et al., 2016; Mall et al., 2017; Vasconcelos et al., 2016). Repressing Hes1 transcription is in turn thought to de-repress proneural bHLHs such as Ascl1, mediating exit from a proliferative neural stem cell fate and subsequent neuronal differentiation (Mall et al., 2017; Vasconcelos et al., 2016). The C. elegans orthologs of Hes1, lin-22, and its target proneural gene lin-32/Atoh1, function in postdeirid development (Kenyon, 1986; Portman and Emmons, 2000; Wrischnik and Kenyon, 1997). lin-22/Hes1 is expressed in seam cells, including V1-4, but not in V5 (Katsanos et al., 2017). In lin-32/Atoh1 mutants, no PVD or PDE cells were generated, while in lin-22 mutants, additional PVD and PDE neurons were generated in each of the V1-4 lineages, suggesting that lin-22 represses proneural gene lin-32 in V1-4, but not in the V5 lineage (Portman and Emmons, 2000; Wrischnik and Kenyon, 1997). We set out to use this evolutionarily conserved genetic circuit to investigate whether ZTF-11 also acts through repressing lin-22.

We first investigated the effect of ztf-11 cKO on lin-22 expression by examining a transcriptional reporter for lin-22. Consistent with previous studies, we found that the LIN-22 transcriptional reporter was invariantly excluded from V5 lineage cells during postdeirid development (Figure 8B, top panel; Figure 8C). However, in the ztf-11 cKO, the LIN-22 reporter remained undetectable in V5 lineages. In addition, we detected no change in the expression pattern or level of the LIN-22 reporter in V1-4 (Figure 8B, bottom panel; Figure 8C). This result suggests that lin-22 is unlikely to be a transcriptional target of ZTF-11.

Figure 8. ZTF-11 does not function by repressing lin-22/Hes1.

Figure 8.

(A) ztf-11 functions downstream of postdeirid development genes lin-22 and lin-32. Right, representative images of ZTF-11::GFP expression during postdeirid neurogenesis in wild type, lin-32, or lin-22 mutants. (B) lin-22 transcriptional reporter expression in wild type and ztf-11 cKO early L2 larvae. LIN-22 is expressed in lateral seam cells but excluded from three posterior seam cells (V5, V6, and T) Pharyngeal staining is bleed through from co-injection marker pMYO-2::mCherry. (C) Quantification of pLIN-22::GFP-positive seam cells in b. n = 66–68 animals each. Error bars, 95% Wilson-Brown C.I. Fischer’s exact test n.s, p>0.05. See Figure 7—source data 1 for numerical data. (D) ztf-11 cKO is epistatic to lin-22(n372), suggesting that ZTF-11 is unlikely to function through repressing LIN-22. lin-22(n372) results in duplication of postdeirid lineage in V1-4, resulting in five postdeirid on each side. In ztf-11 cKO lin-22(n372) double mutant, some of four additional postdeirid as well as wild type V5 postdeirid, are lost. (E) Quantification of PVD::GFP-positive cells from d. Parent seam cell lineage for each PVD::GFP positive cells were inferred from position along AP axis. n = 100–101 animals each. Error bars, 95% Wilson-Brown C.I. Fischer’s exact test, ****p<0.0001. n.s., p>0.05. See Figure 7—source data 2 for numerical data. (F) lin-32 transcriptional marker expression in wild type and ztf-11 cKO. (G) Quantification of lin-32 transcriptional activity. pLIN-32::HIS::mCherry fluorescence intensity was scored. n = 20 animals each. Error bars, S.D. Student’s t-test two-tailed, n.s, p>0.05. See Figure 7—source data 3 for numerical data.

Figure 8—source data 1. Raw counts of LIN-22 expression in V cells in wild-type of ztf-11 cKO animals.
DOI: 10.7554/eLife.46703.031
Figure 8—source data 2. Raw counts of PVD or PVD-like cells in animals of each genotype.
DOI: 10.7554/eLife.46703.032
Figure 8—source data 3. Raw fluorescence intensity values of LIN-32 transcriptional reporter in wild-type(-Cre) or ztf-11 cKO animals.
DOI: 10.7554/eLife.46703.033

To additionally test whether ZTF-11 functions through repression of LIN-22 activity, we performed a genetic analysis of ztf-11 cKO and lin-22(n372). The lin-22(n372) single mutant generates ectopic neurons in the V1-4 lineages. If ztf-11 acts upstream to repress lin-22, we predicted that ztf-11 cKO; lin-22 double mutant would show a lin-22 single mutant phenotype, with ectopic neurons generated from the V1-4 lineages. Contrary to this prediction, we observed that ztf-11 cKO; lin-22 double mutant resulted in a loss of the PVD cell marker in V1-4 as well as V5 lineages (Figure 8D–E). Both the genetic and expression data argue against the proposed model in which ZTF-11 acts via repression of LIN-22.

Next, we investigated whether ZTF-11 de-represses lin-32 transcription. To understand ztf-11’s relationship with lin-32, we examined lin-32 expression in ztf-11 cKO mutant and found that lin-32 is still expressed in the V5 lineage at the level of wild-type controls (Figure 8F–G). However, ZTF-11 expression in the V5 lineage is completely eliminated in the lin-32 mutant (Figure 8A), suggesting that ztf-11 is turned on by LIN-32. This is consistent with the fact that the E-box sequences in the promoter region of ztf-11 are required for its expression (Figure 2). Additionally, the loss of lin-32 did not alter the ability of ectopically expressed ZTF-11 to reprogram epithelial identity (Figure 5B), suggesting that ztf-11 acts downstream of both lin-22 and lin-32 to repress epithelial fate. We next measured the fluorescence intensity of lin-32 transcriptional reporter during postdeirid development. If ZTF-11 acts as a de-repressor of lin-32, we would expect a loss or reduction of lin-32 transcriptional activity. However, we did not observe a significant change in fluorescence intensity between wild type and ztf-11 cKO. Together, these results argue against the existing model in which ztf-11 acts through repressing lin-22 and instead support a linear genetic model in which lin-22/Hes1 represses lin-32/Atoh1, which in turn activates ztf-11 (Figure 8A).

ZTF-11 negatively regulates non-neuronal genes

To understand how ztf-11 promotes neuronal fate, we performed transcriptome analysis in ztf-11 knockdown animals during development. RNAi hypersensitive eri-1(mg366); ztf-11::gfp worms were fed with bacteria expressing dsRNA against ZTF-11 (Ahringer RNAi collection) or empty feeding RNAi vector as a control. ztf-11::gfp fluorescence was strongly reduced in embryos fed with ztf-11 RNAi, confirming the knockdown efficiency (data not shown). Consistent with this observed reduction of ZTF-11::GFP, we found that ztf-11 transcript levels were reduced by 72% in ztf-11 knockdown embryos (Supplementary file 2).

Differential expression analysis revealed that 419 genes were significantly dysregulated in ztf-11 KD embryos (FDR < 0.1) (Figure 9A; Supplementary file 2). The majority (88%) of the differentially expressed genes were upregulated in ztf-11 KD, consistent with the hypothesis that ztf-11 acts a transcriptional repressor (Figure 6A). Notably, among the upregulated genes, the vast majority were non-neuronal genes, including genes specific to epidermis (collagens) or muscle (sarcomere components) (Figure 9B). GO-term enrichment analysis revealed that epidermal and muscular genes were significantly enriched among upregulated genes. In contrast, we did not find significant changes in expression of most neuronal genes, including those involved in neurodevelopment, synaptic transmission, axon guidance, and neurotransmitter synthesis (Figure 9C), likely reflecting our findings that embryonic neurons are still generated in ztf-11 null mutant. These findings are consistent with our genetic analysis, which demonstrated that ZTF-11 acts as a repressor of epithelial identity rather than a direct driver of neuronal fate.

Figure 9. ZTF-11 negatively regulates non-neuronal genes.

Figure 9.

(A) Volcano plot of differentially expressed genes in ztf-11-depleted embryos. Whole embryos treated with RNAi against ztf-11 or control vector were used for the experiments. Numbers, number of genes that were significantly (FDR < 0.1) upregulated (magenta) or downregulated (green). Selected neuronal genes from (B) are shown as gray circles. See Supplementary file 2 for full list of differentially expressed genes. (B) Heat map showing expression level changes in selected cell-type identity markers. Epidermal identity genes were curated from among the significantly changed collagen genes. Muscle (sarcomere) and neuronal identity genes were chosen blind to the fold changes. (C) GO-term enrichment analysis using gene sets of significantly upregulated (magenta) or downregulated (green) transcripts. Note that epidermal (collagen trimer, structural component of cuticle) and muscular (contractile fiber) terms are enriched in upregulated gene set. See Supplementary file 2 for full list of enriched GO-terms.

ZTF-11 mediates transcriptional repression through binding with MuvB co-repressor complex

Our transcriptomic analysis suggested that ZTF-11 mostly represses gene expression. To further test if ZTF-11 indeed functions as a transcriptional repressor, we fused its DNA binding Zinc-finger (ZF) domains with either a transcriptional activator (VP64) or repressor (EnR) domain. We found that the expression of the transcriptional repressor fusion protein (EnR::ZF) in seam cells resulted in proneural activity similar to overexpression of the native ZTF-11 protein. In contrast, expression of the transcriptional activator fusion protein (VP64::ZF) showed a dominant negative effect and blocked postdeirid neurogenesis (Figure 10A). Based on these results, we conclude that ZTF-11, like vertebrate Myt1 family proteins, indeed functions as a transcriptional repressor to promote neuronal fate (Mall et al., 2017; Vasconcelos et al., 2016).

Figure 10. ZTF-11 functions with the MuvB co-repressor complex.

(A) Top, schematic diagram of the experiment. Transcriptional repressor (EnR-ZF) or activator (VP64-ZF) fusion proteins were expressed in both neurogenic V5 and non-neurogenic V1-4 seam cells. Bottom, representative confocal images showing extra PVD-like cells generated with EnR-ZF expression or loss of PVD generated with VP64-ZF expression. (B) Quantification of respective fusion protein overexpression phenotypes. Error bars are 95% Wilson-Brown C.I. n = 100, 76, 125 for wt, EnR-ZF, VP64-ZF, respectively. See Figure 10—source data 1 for numerical data. (C) Representative confocal images showing postdeirid neurogenesis phenotypes in wild type, MuvB, or Sin3 co-repressor complex mutants. (D) Quantifications of PVD neurogenesis defects of MuvB, Sin3, NuRD, or CoRest co-repressor complexes. n = 27–117. (E) Schematic diagram of core components of MuvB complex. Genes required for postdeirid neurogenesis are colored in magenta. See also Figure 10—figure supplement 1 for fly and human orthologs. (F) Proneural activity of ztf-11 requires MuvB gene lin-52. ZTF-11 was ectopically expressed in seam cells in wild type (N2) or lin-52(tm5674) backgrounds and transgenic animals were scored for presence of ectopic PVD-like cells. Error bars are 95% Wilson-Brown C.I. n = 96, 117, respectively. Binomial test, ****p<0.0001. See Figure 10—source data 2 for numerical data. (G) SiMPull experiment shows binding of MuvB complex components to ZTF-11. Error bars, S.E.M. n = 5–17 each. Student’s t-test two-tailed *p<0.05, **p<0.005, ***p<0.0005. See Figure 10—source data 3 for numerical data.

Figure 10—source data 1. Number of animals with associated phenotypes in wild-type or transgenic lines expressing transcriptional repressor (EnR-ZF) or activator (VP64-ZF) fusion proteins.
DOI: 10.7554/eLife.46703.037
Figure 10—source data 2. Number of counted animals of each genotype with associated phenotypes.
DOI: 10.7554/eLife.46703.038
Figure 10—source data 3. Number of mCherry-tagged corepressor molecules in each raw images.
DOI: 10.7554/eLife.46703.039

Figure 10.

Figure 10—figure supplement 1. MuvB complex genes and their homologs in model organisms.

Figure 10—figure supplement 1.

Transcription factors repress gene expression by recruiting corepressor complexes. Corepressor complexes modify chromatin into a more repressed state by catalyzing posttranslational modification of histone tails. Histone chaperones RbAp46/48 mediate interaction with the histone and thus form the core histone-binding subunits of several histone post-translational modifying complexes (Huang et al., 1991; Loyola and Almouzni, 2004; Qian et al., 1993). To investigate the mechanism of transcriptional repression by ZTF-11, we first examined the role of histone chaperone RbAp46/48 homologs, RBA-1 and LIN-53, in postdeirid neurogenesis where ZTF-11 is required. In rba-1 or lin-53 single mutants, approximately 20% of the PVD neurons are missing while another 40% of PVDs showed severe morphological defects (Figure 10C–D). This result suggests that the histone chaperone RbAp46/68 homologs, rba-1 and lin-53, were required for proper postdeirid neurogenesis and that ZTF-11 likely functions through a corepressor complex containing histone chaperones RbAp46/48.

Vertebrate Myt1 interacts with the Sin3 histone deacetylase corepressor complex (Sin3-HDAC), which contains RbAp46/48, to repress target genes during transdifferentiation in vitro (Mall et al., 2017; Romm et al., 2005). It is unclear whether Myt1 family factors also function with the Sin3-HDAC complex in developmental contexts. We examined the role of Sin3-HDAC components in postdeirid neurogenesis and observed no defects resulting from the loss of sin-3, the sole Sin3 homolog in worms (Choy et al., 2007) (Figure 10C–D). We next tested whether other corepressor complexes that contain RbAp46/48 are involved in postdeirid neurogenesis. We found components of the MuvB core of the DRM(DP/Rb/MuvB) corepressor complex, lin-9, lin-52, and lin-54 (Harrison et al., 2006), to be required for robust postdeirid neurogenesis (Figure 10C–E and Figure 10—figure supplement 1). These genetic results suggest that the MuvB repressor complex, rather than the Sin3-HDAC complex, is required for V5 neurogenesis in vivo. Consistent with this result, the proneural activity of ectopically expressed ZTF-11 is strongly (80%) reduced by the loss of lin-52, suggesting that ZTF-11 functions through the MuvB complex (Figure 10F).

We next tested whether ZTF-11 directly binds to MuvB complex components using a single molecule pull-down (SiMPull) analysis, a quantitative, imaging-based co-immunoprecipitation assay (Jain et al., 2011). We used CRISPR/Cas9 to endogenously tag candidate co-repressor subunits with mCherry, and ztf-11 was tagged with GFP. ZTF-11::GFP was pulled down by anti-GFP antibody and displayed on a microscopy slide. Co-precipitation was quantified by counting the number of mCherry-tagged co-repressor molecules on the slide. We found that LIN-9, LIN-52, and the RbAp46/48 homolog RBA-1 could be pulled down by ZTF-11, suggesting that ZTF-11 binds to DRM co-repressor complex in vivo (Figure 10G). Interestingly, lin-37 mutant did not show obvious neurogenesis defects (Figure 10C–D), suggesting that LIN-37 may be dispensable for association of MuvB complex with ZTF-11. Unexpectedly, we found weak co-precipitation of SIN-3 with ZTF-11::GFP, suggesting that ZTF-11 may still function with SIN-3 in other in vivo contexts. Taken together, these results also provide the first evidence that the evolutionarily conserved MuvB co-repressor complex (LINC in vertebrates and dREAM/MuvB complex in flies, see Figure 10—figure supplement 1) (Lewis et al., 2004; Schmit et al., 2007) functions in neurogenesis. It has previously been shown that MuvB genes are required to repress germline genes in somatic cells (Petrella et al., 2011; Wang et al., 2005). We propose that ZTF-11 binds to MuvB complex to similarly repress many non-neuronal genes during neuronal development.

Discussion

Although Myt1 family factors were discovered more than two decades ago, the neurogenic role of Myt1 family factors is only starting to be unraveled on a molecular level. In particular, advances in in vitro transdifferentiation have provided crucial insights in recognizing Myt1 family factors as key drivers of neurogenesis. Here we studied the physiological and developmental functions of ZTF-11 in neurogenesis in vivo. Comparing our results to the in vitro transdifferentiation literature, there are interesting similarities and differences. First, in both systems, ZTF-11 and Myt1l are critical drivers of neural cell fate. Examining neurogenesis in different classes of neurons in C. elegans, we found that ZTF-11 is particularly important for the generation of postembryonic neurons, which are derived from epidermal cells. Most interestingly, a developmentally occurring epithelial-to-neuronal transdifferentiation event requires ZTF-11 to reprogram epithelial identity, further bridging the in vivo and in vitro neurogenic functions of Myt1 factors. In contrast, embryonic neurons generated by rapid cell division from precursor cells are less dependent on ZTF-11. It is conceivable that ZTF-11 is required to ‘turn off’ the established epidermal/epithelial cell fate before neurons can be generated. This could explain the particular requirement of Myt1l in transdifferentiation. Second, both ZTF-11 and Myt1l function as transcriptional repressors. This was evident from RNA-seq experiments from both C. elegans and transdifferentiating mammalian neurons (Mall et al., 2017), where non-neuronal genes are suppressed by this family of proteins. Third, the neuronal expression of ZTF-11 in developing neurons is activated by proneural bHLH genes, which is likely dependent on the conserved E-boxes in the promoter elements of ztf-11 and Myt1l. Together, these similarities build a strong case that the Myt1 family transcription factors play conserved functions in neuronal specification by repressing the expression of non-neuronal genes. These results also suggest that repression of non-neuronal genes is an important aspect of neurogenesis across species.

We also identified two key differences between ZTF-11 and Myt1. First, our genetic analysis shows that ZTF-11 does not repress the Hes1 homolog lin-22. How can this result be reconciled with previous results that Myt1 family factors repress lateral inhibition? One possible explanation for this discrepancy is that ZTF-11 may have lost its ability to repress Notch signaling. However, it is also possible that vertebrate Myt1 family factors gained the ability to repress Hes1. Second, our data also suggest that the MuvB complex, but not the Sin3-HDAC complex, plays an important role in neurogenesis as a co-repressor complex that functions with ZTF-11. This result is interesting but unsurprising considering the sequence divergence of Myt1 family proteins outside the conserved DNA-binding zinc-fingers (Figure 1—figure supplement 1). Myt1 family proteins may have diverged through evolution to function with different co-repressor complexes. It is also noteworthy that ZTF-11 retained weak binding with SIN-3 (Figure 10G), suggesting this interaction is conserved through evolution in other developmental contexts. Examination of Myt1 family factors in other invertebrate model systems is likely to shed light on these intriguing questions.

During evolution, ancestral neurons likely arose from non-neuronal cells. Consistent with this hypothesis, cnidarian neurons are generated from endodermal interstitial stem cells or epithelial precursors, rather than dedicated neural precursors (Rentzsch et al., 2017). As with proneural genes, Myt1 family factors are conserved throughout metazoan evolution with the exception of porifera (sponges) and ctenophora (comb jellies), which either lack a nervous system or are thought to have independently evolved a nervous system (Moroz et al., 2014). MuvB complex genes are conserved in all animals regardless of presence of the nervous system, suggesting that Myt1 family proteins evolved later and recruited MuvB as their co-repressor. It is now tempting to speculate that Myt1 family factors, alongside MuvB co-repressor complex, may comprise an ancestral core module for generating neurons from non-neuronal cells.

Materials and methods

Key resources table.

Reagent type
(species) or
resource
Designation Source or
reference
Identifiers Additional
information
Gene (Caenorhabditis elegans) ztf-11 NA Wormbase gene: WBGene00009939
Strain, strain background (C. elegans) N2 C. elegans Genetic Center (CGC) Wild type strain
Genetic reagent (C. elegans) ztf-11(tm2315) National Bioresource Project (Dr. Shohei Mitani)
Genetic reagent (C. elegans) lin-32(u282) C. elegans Genetic Center (CGC)
Genetic reagent (C. elegans) lin-22(n372) C. elegans Genetic Center (CGC)
Genetic reagent (C. elegans) lin-52(tm5674) National Bioresource Project (Dr. Shohei Mitani)
Genetic reagent (C. elegans) ztf-11(wy1077) This study ZTF-11::GFP endogenous knock-in
Genetic reagent (C. elegans) ztf-11(wy1088) This study Floxed ztf-11 allele
Genetic reagent (C. elegans) ztf-11(wy1100) This study Floxed ztf-11::gfp allele
Genetic reagent (C. elegans) lin-9(wy1224) This study mCherry::LIN-9 endogenous knock-in
Genetic reagent (C. elegans) lin-52(wy1225) This study LIN-52::mCherry endogenous knock-in
Genetic reagent (C. elegans) rba-1(wy1212) This study RBA-1::mCherry endogenous knock-in
Genetic reagent (C. elegans) sin-3(wy1210) This study SIN-3::mCherry endogenous knock-in
Genetic reagent (C. elegans) let-418(wy1215) This study LET-418::mCherry endogenous knock-in
Genetic reagent (C. elegans) egl-27(wy1207) This study EGL-27::mCherry endogenous knock-in
Transfected construct (E. coli HT115 (DE3)) Feeding RNAi clone against ztf-11 Dr. Julie Ahringer, Source BioScience RRID:SCR_017064 Primer pair number: 1528
Antibody anti-GFP, biotin conjugated (Rabbit polyclonal) Rockland Immunochemicals Rockland Cat# 600-406-215, RRID:AB_828168
Recombinant DNA reagent pnhr-81::ztf-11::GFP This paper ZTF-11 seam cell gain of function
Recombinant DNA reagent pnhr-81::ztf-11::mRuby3 This paper ZTF-11 seam cell gain of function (used in conjunction with seam cell markers)
Recombinant DNA reagent pztf-11::his::mCherry This paper ztf-11 transcriptional reporter
Recombinant DNA reagent pztf-11::his::GFP This paper ztf-11 transcriptional reporter
Recombinant DNA reagent pztf-11::his::GFP(-Ebox) This paper E-box mutated ztf-11 transcriptional reporter
Recombinant DNA reagent pegl-26::Cre This paper Rectal epithelial Cre
Recombinant DNA reagent pnhr-81::Cre This paper Seam cell Cre
Recombinant DNA reagent pnhr-81::vp64::ztf-11(217-360) This paper Transcriptional activator fusion
Recombinant DNA reagent pnhr-81::EnR::ztf-11(217-360) This paper Transcriptional repressor fusion
Commercial assay or kit RNeasy Plus Micro Kit Qiagen Cat#: 74034
Commercial assay or kit QiaShredder Qiagen Cat#: 79654
Chemical compound, drug Chymotrypsin Sigma Aldrich Cat#: CHY5S
Chemical compound, drug Chitinase Sigma Aldrich Cat#: C6137
Software, algorithm ImageJ NIH RRID:SCR_003070
Software, algorithm GraphPad Prism GraphPad RRID:SCR_002798

All sequencing dataset generated during this study is available on NCBI GEO (Accession code: GSE125694). All materials generated and analyzed during the current study are available from the corresponding author on reasonable request.

Nematode culture and strains

Wild-type strains were C. elegans variety Bristol, strain N2. Worms were maintained by standard methods as previously described (Brenner, 1974). Worms were grown at 20°C on nematode growth media (NGM) plates seeded with bacteria (Escherichia coli OP50) as a food source. Transgenic strains were generated as previously described by gonadal injection (Mello and Fire, 1995). The epidermal Cre strain (FX15987) was kindly provided by Dr. Shohei Mitani. The list of all mutant and transgenic strains used in this study is available in Supplementary file 3.

Cloning and constructs

DNA plasmid constructs were generated by PCR amplification using Pfusion DNA polymerase followed by isothermal assembly or restriction digest and subsequent ligation using T4 DNA ligase (NEB). ztf-11 cDNA was amplified using C. elegans ORFeome library (Lamesch et al., 2004). ztf-11 promoter (pZTF-11) was cloned via PCR amplification of 2740 bp fragment upstream of ztf-11 tss. pZTF-11 ∆E-box mutations were generated with gBlock synthesis (IDT) followed by isothermal assembly into wild type pZTF-11 vector. EnR and VP64 DNA were kindly provided by Dr. Mauritz Mall. Unless otherwise indicated, worm lysate genomic DNA was used as the template for PCR amplification. A complete list of DNA constructs and oligos is available in Supplementary file 4.

CRISPR/Cas9 genome editing

Two CRISPR/Cas9 genome editing protocols were used for this study. In brief, for insertion of GFP or mCherry into endogenous genetic loci, GFP or mCherry was PCR amplified with primers containing homology arms for insertion sites as donor DNA for homologous recombination. Donor DNA was co-injected with gRNA (IDT), crRNA (IDT), and Cas9 enzyme (IDT) as previously described (Paix et al., 2017). F1 generation animals were visually screened for presence of GFP or mCherry signals using Axioplan2 Fluorescence microscope (Carl Zeiss). GFP or mCherry-positive animals were then homozygosed in F2 generation and verified by Sanger sequencing. For insertion of loxP sites into ztf-11 locus, a co-conversion strategy was used as previously described (Arribere et al., 2014). Synthesized loxP sequence ssDNA with 60 bp homology arms flanking insertion sites (IDT) was used as donor DNA for homologous recombination. Donor DNA was co-injected with Cas9 expressing plasmid (pJW1259, kindly provided by Dr. Jordan Ward), sgRNA expressing vectors, dpy-10 targeting-gRNA, and dpy-10 donor DNA. F1 animals were screened by PCR amplification of the loxP inserts.

4-D imaging and lineage tracing

Embryos were collected from gravid hermaphrodites and mounted with polystyrene beads (Polysciences Inc) as described (Du et al., 2015). Embryos were imaged on a Zeiss AxioObserver Z1 inverted microscope frame with Yokogawa CSU-X1 spinning disk and an Olympus UPLSAPO 60xs silicone oil immersion objective. GFP and mCherry channels were acquired simultaneously on a pair of aligned EMCCD cameras (C9100-13). Image acquisition was performed using MetaMorph software (Molecular Devices). Embryos were imaged every 75 s, with 30 z slices at 1 μm apart. Lineage tracing and quantification of marker expression were done with the StarryNite and AceTree software as described (Du et al., 2015).

Microscopy

Hermaphrodite animals were anesthetized using 2.5 mM levamisole, mounted on 3% agar pads, and imaged using a Zeiss LSM710 confocal microscope (Carl Zeiss) with a Plan-Apochromat 40x/1.3 NA objective or 63x/1.4NA objective. Z stacks and maximum-intensity projections were generated using ImageJ (NIH). The imaging was not done by an experimenter blind to the experimental condition. Fluorescence intensity measurements (Figure 2, Figure 8, and Figure 4—figure supplement 2) were quantified using ImageJ (NIH). Quantification for cell identity markers were performed using Axioplan2 fluorescence microscope (Carl Zeiss) with a Plan-Apochromat 40x/1.3 NA objective. When quantifying any cKO animals, presence of Cre-expressing transgene was checked after each animal’s phenotype was determined to prevent potential bias.

L1 thrashing experiment

Worms grown on NGM plates were transferred to room temperature at least 1 hr prior to the assay. Individual L1 animals were carefully transferred to a small drop of M9 media on a glass slide. Following a minute of incubation in M9, the number of thrashing events (defined by one cycle of alternating ‘C’ bends) were then counted for a minute. The genotype of each assayed animals were determined after each counting to circumvent potential bias.

RNA-seq sample preparation

Samples for RNA-seq was prepared by feeding RNAi (Timmons et al., 2001). In brief, animals were harvested from NGM plates and eggs were collected by bleaching. Eggs were hatched overnight in M9 media to get synchronized L1 larval culture (Porta-de-la-Riva et al., 2012). Synchronized L1 cultures were inoculated on plates expressing feeding RNAi clones for ztf-11 (Kamath and Ahringer, 2003) (Dr. Julie Ahringer) or a control vector (L4440). After 64 hr, adult worms bearing eggs were harvested and eggs were collected by careful bleaching. Eggs were incubated in M9 for 3 hr to allow them to develop into gastrula stages. Egg shell was disturbed with chymotrypsin (Sigma-Aldrich) and chitinase (Sigma-Aldrich) as previously described (Edgar and Goldstein, 2012) and lysed by centrifuging through QiaShredder columns (Qiagen) following the manufacturer’s instructions. RNA was isolated from the eggs using RNeasy Plus Micro Kit (Qiagen) following the manufacturer’s instructions. Resulting RNA samples were quality controlled by Agilent Bioanalyzer 2100 and only the RNA samples with RIN of 9 or higher were submitted for library preparation. mRNA libraries were prepared by Stanford Genome Sequencing Center using TruSeq Stranded mRNA Library Preparation kit (Illumina). Four biological replicates representing independent cultures of C. elegans on independently prepared feeding RNAi were performed for each sample in this study.

RNA-seq and computational analysis mRNA libraries were pooled and paired-end sequenced for 100 bp, resulting in 40 million raw reads per sample. Raw reads were trimmed of adaptor sequences using fastx (http://hannonlab.cshl.edu/fastx_toolkit/) and mapped to C. elegans reference genome (ce10) using Tophat2 (Kim et al., 2013) and featureCounts (Liao et al., 2014). Uniquely mapped reads were used to calculate expression level of genes. Differential expression analysis was performed using DeSeq2 (Love et al., 2014). GO-term enrichment analysis of significantly upregulated or downregulated genes (FDR < 0.1) were performed through PANTHER gene ontology tool (Thomas et al., 2003). Raw sequencing data is accessible through NCBI GEO (Accession code: GSE125694). Full DESeq2 output and GO-term enrichment analysis results can be found on Supplementary file 2.

Single molecule pulldown (SiMPull) experiments

SiMPull assays were performed as previously described (Zou et al., 2016). In brief, C. elegans grown on twenty 15 cm dishes were collected and washed, then dropped in liquid nitrogen to form ‘worm pearls.’ Worm pearls (50 mg wet weight) were thawed in 250 ul lysis buffer (50 mM HEPES pH 7.7, 50 mM KCl, 2 mM MgCl2, 250 mM Sucrose, 1 mM EDTA pH 8.0, with protease inhibitors). After brief sonication on ice (3’ pulse with 30’ pause, six cycles) to break the cuticle, 100 mM NaCl and 1% Triton X-100 were added into solution and samples were rotated at 4°C for 1 hr. After centrifugation at 16,000 g for 15 min, supernatants were transferred to new tubes and measured by BCA assay (Thermo Fisher Scientific) for total protein concentration. Worm lysates from different samples were adjusted to 7 mg/ml concentration by lysis buffer and used for SiMPull. Briefly, normalized lysates were incubated on quartz slides pre-coated with or without biotinylated anti-GFP antibodies (Rockland immunochemicals) to pull down ZTF-11::GFP, after washing away unbound sample, mCherry signals were recorded to visualize captured ZTF-11 binding partners. mCherry tagged proteins immobilized on the slides were visualized by a TIRF microscope equipped with excitation laser 561 nm, and DV2 dichroic 565dcxr dual-view emission filters (520/30 nm and 630/50 nm). Mean spot counts per image and standard deviation were calculated from images taken from 5 to 17 different regions.

Acknowledgements

This work was supported by the Howard Hughes Medical Institute, NIH R37 NS048392, and NIH T32 GM007276.

Some strains were provided by the CGC, which is funded by NIH Office of Research Infrastructure Programs (P40 OD010440), and the MITANI Lab through the National Bio-Resource Project of the MEXT, Japan.

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

Kang Shen, Email: kangshen@stanford.edu.

Marianne E Bronner, California Institute of Technology, United States.

Oliver Hobert, Howard Hughes Medical Institute, Columbia University, United States.

Funding Information

This paper was supported by the following grants:

  • National Institutes of Health T32 GM007276 to Joo Lee.

  • Howard Hughes Medical Institute to Joo Lee, Caitlin A Taylor, Kang Shen.

  • National Institutes of Health R37 NS048392 to Joo Lee, Caitlin A Taylor, Kang Shen.

Additional information

Competing interests

Reviewing Editor, eLife.

No competing interests declared.

Author contributions

Conceptualization, Data curation, Formal analysis, Investigation, Visualization, Methodology, Writing—original draft, Writing—review and editing.

Data curation, Formal analysis, Investigation, Writing—review and editing.

Data curation, Formal analysis.

Data curation, Formal analysis, Investigation.

Conceptualization, Data curation, Supervision, Investigation.

Data curation, Formal analysis.

Supervision, Writing—review and editing.

Supervision, Writing—review and editing.

Conceptualization, Supervision, Funding acquisition, Writing—review and editing.

Additional files

Supplementary file 1. Embryonic cell lineages expressing ZTF-11, up to 350-cell stage and their postmitotic identities.
elife-46703-supp1.jpg (1.6MB, jpg)
DOI: 10.7554/eLife.46703.040
Supplementary file 2. Differentially expressed genes in ztf-11 knockdown embryos.
elife-46703-supp2.xlsx (3.4MB, xlsx)
DOI: 10.7554/eLife.46703.041
Supplementary file 3. Strains used for this study.
elife-46703-supp3.xlsx (13.7KB, xlsx)
DOI: 10.7554/eLife.46703.042
Supplementary file 4. DNA constructs and oligos used for this study.
elife-46703-supp4.xlsx (12.7KB, xlsx)
DOI: 10.7554/eLife.46703.043
Transparent reporting form
DOI: 10.7554/eLife.46703.044

Data availability

Sequencing data have been deposited in GEO under accession code GSE125694. All data generated or analysed during this study are included in the manuscript and supporting files. Source data files have been provided whenever applicable.

The following dataset was generated:

Lee J, Stewart EV, Taylor CA, Barnes KM, Chen A, Bao Z, Shen A, Shen K. 2019. A Myt1 family transcription factor defines neuronal fate by repressing non-neuronal genes. NCBI Gene Expression Omnibus. GSE125694

References

  1. Albeg A, Smith CJ, Chatzigeorgiou M, Feitelson DG, Hall DH, Schafer WR, Miller DM, Treinin M. C. elegans multi-dendritic sensory neurons: morphology and function. Molecular and Cellular Neuroscience. 2011;46:308–317. doi: 10.1016/j.mcn.2010.10.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Arribere JA, Bell RT, Fu BX, Artiles KL, Hartman PS, Fire AZ. Efficient marker-free recovery of custom genetic modifications with CRISPR/Cas9 in Caenorhabditis Elegans. Genetics. 2014;198:837–846. doi: 10.1534/genetics.114.169730. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Ballas N, Grunseich C, Lu DD, Speh JC, Mandel G. REST and its corepressors mediate plasticity of neuronal gene chromatin throughout neurogenesis. Cell. 2005;121:645–657. doi: 10.1016/j.cell.2005.03.013. [DOI] [PubMed] [Google Scholar]
  4. Bao Z, Murray JI, Boyle T, Ooi SL, Sandel MJ, Waterston RH. Automated cell lineage tracing in Caenorhabditis Elegans. PNAS. 2006;103:2707–2712. doi: 10.1073/pnas.0511111103. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Bellefroid EJ, Bourguignon C, Hollemann T, Ma Q, Anderson DJ, Kintner C, Pieler T. X-MyT1, a xenopus C2HC-type zinc finger protein with a regulatory function in neuronal differentiation. Cell. 1996;87:1191–1202. doi: 10.1016/S0092-8674(00)81815-2. [DOI] [PubMed] [Google Scholar]
  6. Bermingham NA, Hassan BA, Price SD, Vollrath MA, Ben-Arie N, Eatock RA, Bellen HJ, Lysakowski A, Zoghbi HY. Math1: an essential gene for the generation of inner ear hair cells. Science. 1999;284:1837–1841. doi: 10.1126/science.284.5421.1837. [DOI] [PubMed] [Google Scholar]
  7. Bertrand N, Castro DS, Guillemot F. Proneural genes and the specification of neural cell types. Nature Reviews Neuroscience. 2002;3:517–530. doi: 10.1038/nrn874. [DOI] [PubMed] [Google Scholar]
  8. Brenner S. The genetics of caenorhabditis elegans. Genetics. 1974;77:71–94. doi: 10.1093/genetics/77.1.71. [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Chen ZF, Paquette AJ, Anderson DJ. NRSF/REST is required in vivo for repression of multiple neuronal target genes during embryogenesis. Nature Genetics. 1998;20:136–142. doi: 10.1038/2431. [DOI] [PubMed] [Google Scholar]
  10. Chong JA, Tapia-Ramírez J, Kim S, Toledo-Aral JJ, Zheng Y, Boutros MC, Altshuller YM, Frohman MA, Kraner SD, Mandel G. REST: a mammalian silencer protein that restricts sodium channel gene expression to neurons. Cell. 1995;80:949–957. doi: 10.1016/0092-8674(95)90298-8. [DOI] [PubMed] [Google Scholar]
  11. Choy SW, Wong YM, Ho SH, Chow KL. C. elegans SIN-3 and its associated HDAC corepressor complex act as mediators of male sensory ray development. Biochemical and Biophysical Research Communications. 2007;358:802–807. doi: 10.1016/j.bbrc.2007.04.194. [DOI] [PubMed] [Google Scholar]
  12. Dhanesh SB, Subashini C, James J. Hes1: the maestro in neurogenesis. Cellular and Molecular Life Sciences. 2016;73:4019–4042. doi: 10.1007/s00018-016-2277-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Du Z, Santella A, He F, Shah PK, Kamikawa Y, Bao Z. The regulatory landscape of lineage differentiation in a metazoan embryo. Developmental Cell. 2015;34:592–607. doi: 10.1016/j.devcel.2015.07.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Duerr JS, Frisby DL, Gaskin J, Duke A, Asermely K, Huddleston D, Eiden LE, Rand JB. The cat-1 gene of Caenorhabditis Elegans encodes a vesicular monoamine transporter required for specific monoamine-dependent behaviors. The Journal of Neuroscience. 1999;19:72–84. doi: 10.1523/JNEUROSCI.19-01-00072.1999. [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Edgar LG, Goldstein B. Culture and manipulation of embryonic cells. Methods in Cell Biology. 2012;107:151–175. doi: 10.1016/B978-0-12-394620-1.00005-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Finney M, Ruvkun G. The unc-86 gene product couples cell lineage and cell identity in C. elegans. Cell. 1990;63:895–905. doi: 10.1016/0092-8674(90)90493-X. [DOI] [PubMed] [Google Scholar]
  17. Frank CA, Baum PD, Garriga G. HLH-14 is a C. elegans achaete-scute protein that promotes neurogenesis through asymmetric cell division. Development. 2003;130:6507–6518. doi: 10.1242/dev.00894. [DOI] [PubMed] [Google Scholar]
  18. Grill B, Chen L, Tulgren ED, Baker ST, Bienvenut W, Anderson M, Quadroni M, Jin Y, Garner CC. RAE-1, a novel PHR binding protein, is required for axon termination and synapse formation in caenorhabditis elegans. Journal of Neuroscience. 2012;32:2628–2636. doi: 10.1523/JNEUROSCI.2901-11.2012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Grove CA, De Masi F, Barrasa MI, Newburger DE, Alkema MJ, Bulyk ML, Walhout AJ. A multiparameter network reveals extensive divergence between C. elegans bHLH transcription factors. Cell. 2009;138:314–327. doi: 10.1016/j.cell.2009.04.058. [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Hallam S, Singer E, Waring D, Jin Y. The C. elegans NeuroD homolog cnd-1 functions in multiple aspects of motor neuron fate specification. Development. 2000;127:4239. doi: 10.1242/dev.127.19.4239. [DOI] [PubMed] [Google Scholar]
  21. Harrison MM, Ceol CJ, Lu X, Horvitz HR. Some C. elegans class B synthetic multivulva proteins encode a conserved LIN-35 Rb-containing complex distinct from a NuRD-like complex. PNAS. 2006;103:16782–16787. doi: 10.1073/pnas.0608461103. [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Heitzler P, Bourouis M, Ruel L, Carteret C, Simpson P. Genes of the enhancer of split and achaete-scute complexes are required for a regulatory loop between notch and delta during lateral signalling in Drosophila. Development. 1996;122:161–171. doi: 10.1242/dev.122.1.161. [DOI] [PubMed] [Google Scholar]
  23. Hobert O, Tessmar K, Ruvkun G. The caenorhabditis elegans lim-6 LIM homeobox gene regulates neurite outgrowth and function of particular GABAergic neurons. Development. 1999;126:1547–1562. doi: 10.1242/dev.126.7.1547. [DOI] [PubMed] [Google Scholar]
  24. Huang S, Lee WH, Lee EY. A cellular protein that competes with SV40 T antigen for binding to the retinoblastoma gene product. Nature. 1991;350:160–162. doi: 10.1038/350160a0. [DOI] [PubMed] [Google Scholar]
  25. Ishibashi M, Ang SL, Shiota K, Nakanishi S, Kageyama R, Guillemot F. Targeted disruption of mammalian hairy and enhancer of split homolog-1 (HES-1) leads to up-regulation of neural helix-loop-helix factors, premature neurogenesis, and severe neural tube defects. Genes & Development. 1995;9:3136–3148. doi: 10.1101/gad.9.24.3136. [DOI] [PubMed] [Google Scholar]
  26. Jain A, Liu R, Ramani B, Arauz E, Ishitsuka Y, Ragunathan K, Park J, Chen J, Xiang YK, Ha T. Probing cellular protein complexes using single-molecule pull-down. Nature. 2011;473:484–488. doi: 10.1038/nature10016. [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Jarman AP, Grau Y, Jan LY, Jan YN. Atonal is a proneural gene that directs chordotonal organ formation in the Drosophila peripheral nervous system. Cell. 1993;73:1307–1321. doi: 10.1016/0092-8674(93)90358-W. [DOI] [PubMed] [Google Scholar]
  28. Jarriault S, Schwab Y, Greenwald I. A Caenorhabditis Elegans model for epithelial-neuronal transdifferentiation. PNAS. 2008;105:3790–3795. doi: 10.1073/pnas.0712159105. [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Kage-Nakadai E, Imae R, Suehiro Y, Yoshina S, Hori S, Mitani S. A conditional knockout toolkit for Caenorhabditis Elegans based on the cre/loxP recombination. PLOS ONE. 2014;9:e114680. doi: 10.1371/journal.pone.0114680. [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Kamath RS, Ahringer J. Genome-wide RNAi screening in Caenorhabditis elegans. Methods. 2003;30:313–321. doi: 10.1016/s1046-2023(03)00050-1. [DOI] [PubMed] [Google Scholar]
  31. Katsanos D, Koneru SL, Mestek Boukhibar L, Gritti N, Ghose R, Appleford PJ, Doitsidou M, Woollard A, van Zon JS, Poole RJ, Barkoulas M. Stochastic loss and gain of symmetric divisions in the C. elegans epidermis perturbs robustness of stem cell number. PLOS Biology. 2017;15:e2002429. doi: 10.1371/journal.pbio.2002429. [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Kenyon C. A gene involved in the development of the posterior body region of C. elegans. Cell. 1986;46:477–487. doi: 10.1016/0092-8674(86)90668-9. [DOI] [PubMed] [Google Scholar]
  33. Kim JG, Armstrong RC, v Agoston D, Robinsky A, Wiese C, Nagle J, Hudson LD. Myelin transcription factor 1 (Myt1) of the oligodendrocyte lineage, along with a closely related CCHC zinc finger, is expressed in developing neurons in the mammalian central nervous system. Journal of Neuroscience Research. 1997;50:272–290. doi: 10.1002/(SICI)1097-4547(19971015)50:2&#x0003c;272::AID-JNR16&#x0003e;3.0.CO;2-A. [DOI] [PubMed] [Google Scholar]
  34. Kim D, Pertea G, Trapnell C, Pimentel H, Kelley R, Salzberg SL. TopHat2: accurate alignment of transcriptomes in the presence of insertions, deletions and gene fusions. Genome Biology. 2013;14:R36. doi: 10.1186/gb-2013-14-4-r36. [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Lamesch P, Milstein S, Hao T, Rosenberg J, Li N, Sequerra R, Bosak S, Doucette-Stamm L, Vandenhaute J, Hill DE, Vidal M. C. elegans ORFeome version 3.1: increasing the coverage of ORFeome resources with improved gene predictions. Genome Research. 2004;14:2064–2069. doi: 10.1101/gr.2496804. [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Lewis J. Notch signalling and the control of cell fate choices in vertebrates. Seminars in Cell & Developmental Biology. 1998;9:583–589. doi: 10.1006/scdb.1998.0266. [DOI] [PubMed] [Google Scholar]
  37. Lewis PW, Beall EL, Fleischer TC, Georlette D, Link AJ, Botchan MR. Identification of a Drosophila Myb-E2F2/RBF transcriptional repressor complex. Genes & Development. 2004;18:2929–2940. doi: 10.1101/gad.1255204. [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Liao Y, Smyth GK, Shi W. featureCounts: an efficient general purpose program for assigning sequence reads to genomic features. Bioinformatics. 2014;30:923–930. doi: 10.1093/bioinformatics/btt656. [DOI] [PubMed] [Google Scholar]
  39. Love MI, Huber W, Anders S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biology. 2014;15:1–21. doi: 10.1186/s13059-014-0550-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Loyola A, Almouzni G. Histone chaperones, a supporting role in the limelight. Biochimica Et Biophysica Acta (BBA) - Gene Structure and Expression. 2004;1677:3–11. doi: 10.1016/j.bbaexp.2003.09.012. [DOI] [PubMed] [Google Scholar]
  41. Mall M, Kareta MS, Chanda S, Ahlenius H, Perotti N, Zhou B, Grieder SD, Ge X, Drake S, Euong Ang C, Walker BM, Vierbuchen T, Fuentes DR, Brennecke P, Nitta KR, Jolma A, Steinmetz LM, Taipale J, Südhof TC, Wernig M. Myt1l safeguards neuronal identity by actively repressing many non-neuronal fates. Nature. 2017;544:245–249. doi: 10.1038/nature21722. [DOI] [PMC free article] [PubMed] [Google Scholar]
  42. Masserdotti G, Gascón S, Götz M. Direct neuronal reprogramming: learning from and for development. Development. 2016;143:2494–2510. doi: 10.1242/dev.092163. [DOI] [PubMed] [Google Scholar]
  43. McIntire SL, Jorgensen E, Kaplan J, Horvitz HR. The GABAergic nervous system of caenorhabditis elegans. Nature. 1993;364:337–341. doi: 10.1038/364337a0. [DOI] [PubMed] [Google Scholar]
  44. Mello C, Fire A. Chapter 19 DNA transformation. Methods in Cell Biology. 1995:451–482. doi: 10.1016/S0091-679X(08)61399-0. [DOI] [PubMed] [Google Scholar]
  45. Moroz LL, Kocot KM, Citarella MR, Dosung S, Norekian TP, Povolotskaya IS, Grigorenko AP, Dailey C, Berezikov E, Buckley KM, Ptitsyn A, Reshetov D, Mukherjee K, Moroz TP, Bobkova Y, Yu F, Kapitonov VV, Jurka J, Bobkov YV, Swore JJ, Girardo DO, Fodor A, Gusev F, Sanford R, Bruders R, Kittler E, Mills CE, Rast JP, Derelle R, Solovyev VV, Kondrashov FA, Swalla BJ, Sweedler JV, Rogaev EI, Halanych KM, Kohn AB. The ctenophore genome and the evolutionary origins of neural systems. Nature. 2014;510:109–114. doi: 10.1038/nature13400. [DOI] [PMC free article] [PubMed] [Google Scholar]
  46. Murray JI, Boyle TJ, Preston E, Vafeados D, Mericle B, Weisdepp P, Zhao Z, Bao Z, Boeck M, Waterston RH. Multidimensional regulation of gene expression in the C. elegans embryo. Genome Research. 2012;22:1282–1294. doi: 10.1101/gr.131920.111. [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Narasimhan K, Lambert SA, Yang AWH, Riddell J, Mnaimneh S, Zheng H, Albu M, Najafabadi HS, Reece-Hoyes JS, Fuxman Bass JI, Walhout AJM, Weirauch MT, Hughes TR. Mapping and analysis of caenorhabditis elegans transcription factor sequence specificities. eLife. 2015;4:e06967. doi: 10.7554/eLife.06967. [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. Ohsako S, Hyer J, Panganiban G, Oliver I, Caudy M. Hairy function as a DNA-binding helix-loop-helix repressor of Drosophila sensory organ formation. Genes & Development. 1994;8:2743–2755. doi: 10.1101/gad.8.22.2743. [DOI] [PubMed] [Google Scholar]
  49. Paix A, Folkmann A, Seydoux G. Precision genome editing using CRISPR-Cas9 and linear repair templates in C. elegans. Methods. 2017;121-122:86–93. doi: 10.1016/j.ymeth.2017.03.023. [DOI] [PMC free article] [PubMed] [Google Scholar]
  50. Pereira L, Kratsios P, Serrano-Saiz E, Sheftel H, Mayo AE, Hall DH, White JG, LeBoeuf B, Garcia LR, Alon U, Hobert O. A cellular and regulatory map of the cholinergic nervous system of C. elegans. eLife. 2015;4:e12432. doi: 10.7554/eLife.12432. [DOI] [PMC free article] [PubMed] [Google Scholar]
  51. Petrella LN, Wang W, Spike CA, Rechtsteiner A, Reinke V, Strome S. synMuv B proteins antagonize germline fate in the intestine and ensure C. elegans survival. Development. 2011;138:1069–1079. doi: 10.1242/dev.059501. [DOI] [PMC free article] [PubMed] [Google Scholar]
  52. Porta-de-la-Riva M, Fontrodona L, Villanueva A, Cerón J. Basic Caenorhabditis Elegans methods: synchronization and observation. Journal of Visualized Experiments. 2012:e4019. doi: 10.3791/4019. [DOI] [PMC free article] [PubMed] [Google Scholar]
  53. Portman DS, Emmons SW. The basic helix-loop-helix transcription factors LIN-32 and HLH-2 function together in multiple steps of a C. elegans neuronal sublineage. Development. 2000;127:5415–5426. doi: 10.1242/dev.127.24.5415. [DOI] [PubMed] [Google Scholar]
  54. Qian YW, Wang YC, Hollingsworth RE, Jones D, Ling N, Lee EY. A retinoblastoma-binding protein related to a negative regulator of ras in yeast. Nature. 1993;364:648–652. doi: 10.1038/364648a0. [DOI] [PubMed] [Google Scholar]
  55. Rentzsch F, Layden M, Manuel M. The cellular and molecular basis of cnidarian neurogenesis. Wiley Interdisciplinary Reviews: Developmental Biology. 2017;6:e257. doi: 10.1002/wdev.257. [DOI] [PMC free article] [PubMed] [Google Scholar]
  56. Romm E, Nielsen JA, Kim JG, Hudson LD. Myt1 family recruits histone deacetylase to regulate neural transcription. Journal of Neurochemistry. 2005;93:1444–1453. doi: 10.1111/j.1471-4159.2005.03131.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  57. Schmit F, Korenjak M, Mannefeld M, Schmitt K, Franke C, von Eyss B, Gagrica S, Hänel F, Brehm A, Gaubatz S. LINC, a human complex that is related to pRB-containing complexes in invertebrates regulates the expression of G2/M genes. Cell Cycle. 2007;6:1903–1913. doi: 10.4161/cc.6.15.4512. [DOI] [PubMed] [Google Scholar]
  58. Schoenherr CJ, Anderson DJ. The neuron-restrictive silencer factor (NRSF): a coordinate repressor of multiple neuron-specific genes. Science. 1995;267:1360–1363. doi: 10.1126/science.7871435. [DOI] [PubMed] [Google Scholar]
  59. Serrano-Saiz E, Leyva-Díaz E, De La Cruz E, Hobert O. BRN3-type POU homeobox genes maintain the identity of mature postmitotic neurons in nematodes and mice. Current Biology. 2018;28:2813–2823. doi: 10.1016/j.cub.2018.06.045. [DOI] [PubMed] [Google Scholar]
  60. Sulston JE, Schierenberg E, White JG, Thomson JN. The embryonic cell lineage of the nematode caenorhabditis elegans. Developmental Biology. 1983;100:64–119. doi: 10.1016/0012-1606(83)90201-4. [DOI] [PubMed] [Google Scholar]
  61. Sulston JE, Horvitz HR. Post-embryonic cell lineages of the nematode, Caenorhabditis Elegans. Developmental Biology. 1977;56:110–156. doi: 10.1016/0012-1606(77)90158-0. [DOI] [PubMed] [Google Scholar]
  62. Takebayashi K, Takahashi S, Yokota C, Tsuda H, Nakanishi S, Asashima M, Kageyama R. Conversion of ectoderm into a neural fate by ATH-3, a vertebrate basic helix-loop-helix gene homologous to Drosophila proneural gene atonal. The EMBO Journal. 1997;16:384–395. doi: 10.1093/emboj/16.2.384. [DOI] [PMC free article] [PubMed] [Google Scholar]
  63. Thomas PD, Campbell MJ, Kejariwal A, Mi H, Karlak B, Daverman R, Diemer K, Muruganujan A, Narechania A. PANTHER: a library of protein families and subfamilies indexed by function. Genome Research. 2003;13:2129–2141. doi: 10.1101/gr.772403. [DOI] [PMC free article] [PubMed] [Google Scholar]
  64. Timmons L, Court DL, Fire A. Ingestion of bacterially expressed dsRNAs can produce specific and potent genetic interference in caenorhabditis elegans. Gene. 2001;263:103–112. doi: 10.1016/S0378-1119(00)00579-5. [DOI] [PubMed] [Google Scholar]
  65. Vasconcelos FF, Sessa A, Laranjeira C, Raposo A, Teixeira V, Hagey DW, Tomaz DM, Muhr J, Broccoli V, Castro DS. MyT1 counteracts the neural progenitor program to promote vertebrate neurogenesis. Cell Reports. 2016;17:469–483. doi: 10.1016/j.celrep.2016.09.024. [DOI] [PMC free article] [PubMed] [Google Scholar]
  66. Vidal B, Santella A, Serrano-Saiz E, Bao Z, Chuang CF, Hobert O. C. elegans SoxB genes are dispensable for embryonic neurogenesis but required for terminal differentiation of specific neuron types. Development. 2015;142:2464–2477. doi: 10.1242/dev.125740. [DOI] [PMC free article] [PubMed] [Google Scholar]
  67. Vierbuchen T, Ostermeier A, Pang ZP, Kokubu Y, Südhof TC, Wernig M. Direct conversion of fibroblasts to functional neurons by defined factors. Nature. 2010;463:1035–1041. doi: 10.1038/nature08797. [DOI] [PMC free article] [PubMed] [Google Scholar]
  68. Wang D, Kennedy S, Conte D, Kim JK, Gabel HW, Kamath RS, Mello CC, Ruvkun G. Somatic misexpression of germline P granules and enhanced RNA interference in retinoblastoma pathway mutants. Nature. 2005;436:593–597. doi: 10.1038/nature04010. [DOI] [PubMed] [Google Scholar]
  69. Wang S, Zhang J, Zhao A, Hipkens S, Magnuson MA, Gu G. Loss of Myt1 function partially compromises endocrine islet cell differentiation and pancreatic physiological function in the mouse. Mechanisms of Development. 2007;124:898–910. doi: 10.1016/j.mod.2007.08.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  70. Wapinski OL, Vierbuchen T, Qu K, Lee QY, Chanda S, Fuentes DR, Giresi PG, Ng YH, Marro S, Neff NF, Drechsel D, Martynoga B, Castro DS, Webb AE, Südhof TC, Brunet A, Guillemot F, Chang HY, Wernig M. Hierarchical mechanisms for direct reprogramming of fibroblasts to neurons. Cell. 2013;155:621–635. doi: 10.1016/j.cell.2013.09.028. [DOI] [PMC free article] [PubMed] [Google Scholar]
  71. White JG, Southgate E, Thomson JN, Brenner S. The structure of the ventral nerve cord of caenorhabditis elegans. Philosophical Transactions of the Royal Society B: Biological Sciences. 1976;275:327–348. doi: 10.1098/rstb.1976.0086. [DOI] [PubMed] [Google Scholar]
  72. White JG, Southgate E, Thomson JN, Brenner S. The structure of the nervous system of the nematode caenorhabditis elegans. Philosophical Transactions of the Royal Society B: Biological Sciences. 1986;314:1–340. doi: 10.1098/rstb.1986.0056. [DOI] [PubMed] [Google Scholar]
  73. Wrischnik LA, Kenyon CJ. The role of lin-22, a hairy/enhancer of split homolog, in patterning the peripheral nervous system of C. elegans. Development. 1997;124:2875–2888. doi: 10.1242/dev.124.15.2875. [DOI] [PubMed] [Google Scholar]
  74. Zhao C, Emmons SW. A transcription factor controlling development of peripheral sense organs in C. elegans. Nature. 1995;373:74–78. doi: 10.1038/373074a0. [DOI] [PubMed] [Google Scholar]
  75. Zou W, Shen A, Dong X, Tugizova M, Xiang YK, Shen K. A multi-protein receptor-ligand complex underlies combinatorial dendrite guidance choices in C. elegans. eLife. 2016;5:e18345. doi: 10.7554/eLife.18345. [DOI] [PMC free article] [PubMed] [Google Scholar]

Decision letter

Editor: Oliver Hobert1
Reviewed by: John Isaac Murray2

In the interests of transparency, eLife includes the editorial decision letter and accompanying author responses. A lightly edited version of the letter sent to the authors after peer review is shown, indicating the most substantive concerns; minor comments are not usually included.

Thank you for submitting your article "A Myt1 family transcription factor defines neuronal fate by repressing non-neuronal genes" for consideration by eLife. Your article has been reviewed by three peer reviewers, one of whom is a member of our Board of Reviewing Editors, and the evaluation has been overseen by Marianne Bronner as the Senior Editor. The following individual involved in review of your submission has agreed to reveal their identity: John Murray (Reviewer #2).

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

Summary:

This paper reports that a member of the Myt1 family of zinc finger transcription factors functions in C. elegans drives neurogenic fate while simultaneously blocking epidermal traits. This finding is exciting because Myt1 is routinely used to induce trans-differentiation of mammalian skin cells into neuroblasts. Remarkably, this work shows that ZTF-11, the sole Myt1 homolog in C. elegans, is also sufficient to transform epidermal precursors into neurons. Moreover, Lee et al. show that ZTF-11 drives an epidermal to neuronal trans-differentiation event that occurs during normal C. elegans development. These findings indicate that ZTF-11/Myt1 function is likely evolutionarily conserved and thus investigations that exploit the experimental tractability of C. elegans can effectively advance our understanding of the mechanism Myt1 function in mammals. The work deploys powerful experimental tools including a clever strategy for a conditional knockout of the ZTF-11/Myt1 locus that monitors an intrinsic GFP signal to detect cell-specific knockdown. In a first for any metazoan, the cell specific and temporal expression of ZTF-11 throughout embryonic development is defined by time-lapse imaging. Genetic methods also place ztf-11 in a transcriptional cascade involving the proneural transcription factor genes lin-22/Hairy and lin-32/Achaete-Scute and demonstrate physical interaction with the conserved MuvB co-repressor complex.

Essential revisions:

Generally, the authors need to be commended for this very rigorous analysis. However, a number of loose ends were identified that the authors should tie up:

1) The ability of ztf-11 to induce neuronal fates in V1-4 (in a lin-32-dependent manner) is a little unexpected given that ztf-11 is a target of lin-32 in V5. The authors need to test whether ztf-11 and lin-32 cross-regulate, i.e. (a) is the ability of ztf-11 to induce neuronal fates in V1-4 accompanied by turning on lin-32 expression and (b) in the V5 lineage, does lin-32 also depend on ztf-11 (feedback loop; in Figure 4Aztf-11 expression appears to commence before lin-32, so the regulation of ztf-11 by lin-32 is perhaps the feedback). This is trivial thing to test and given the genetic lin-32-dependence such feedback almost has to exist.

2) An alternative explanation should be considered for results reported in Figure 6, in which pan neuronal marker gene is fully expressed in embryos homozygous for a ztf-11 null allele. The authors conclude from this result that ztf-11 is not necessary for differentiation of embryonic neurons. The problem with this interpretation is that it overlooks the more likely explanation of a maternal effect. The ztf-11(0) allele used for this experiment is lethal at the first larval stage and therefore must be maintained with a balancer chromosome. Thus, embryos that are homozygous for the ztf-11 null allele will have maternal ztf-11 mRNA that could be sufficient to sustain neuronal fate in the embryo but not for later stages that depend on zygotic expression. The authors should (a) use global ztf-11 RNAi (see Figure 8) to knockdown maternal ztf-11 mRNA in the balanced ztf-11 strain; or alternatively, (b) in which the rescue the ztf-11 null phenotype with a non-complex ztf-11 array (e.g. fosmid), mark the array with a marker that labels P1 descendant (say myo-3), find animals with dorsal/ventral bwm loss (= P2 loss = loss in germline), then score their non-transgenic offspring (larvally arrested animals).

3) While the analysis of several postembryonic neuronal fates is very elegantly and well done, it is quite restricted. Plus, the analysis of neuronal identity in the embryo is not quite up to par to the quality of the analysis of postembryonic fates. The authors’ work hints at an extremely intriguing possibility that is mentioned by the authors but not very well carved out and broadly enough probed: is ztf-11 function in neurogenesis restricted to those cases where the ectoblast from which the neuron is derived already is a somewhat differentiated cell? That's indeed obvious in the Y to PDA transdifferentiation event. But it's also the case of the V cells – which are also polarized differentiated skin cells which essentially "transdifferentiate" to generate things like the postdeirid. In such cases a gene like ztf-11 is apparently required to "wipe out" the non-neuronal state. But is this really true for all postembryonically generated neurons that come from such a differentiated epidermal state? In contrast, in the embryo, neural precursors don't go through such a differentiated state – and indeed ztf-11 does not appear to have much of a role in embryonic neurogenesis. The authors do of course recognize this, but could word this issue more crisply. For example, they say: "these results indicate that ztf-11 is particularly important for neurons that are generated from an established epidermal lineage". "established" is not very clear – they should say that these are cells that have fully differentiated by a number of different criteria.

Anyway, that's potentially the most exciting point of the manuscript but the authors need to take a closer look at this potential dichotomy with a few more markers for embryonic and postembryonic neurons. Specifically:

Postembryonic: are really all neurons that are generated from differentiated ectoblasts affected? Currently the authors only look at V cell descendants and Y cells, using nifty Cre/Lox approaches. I suggest that they use the plain null to assess whether a few other lineages are affected as well. As markers, they could use specific transcription factor reporters that come on in the L1, right after the respective neuron is generated. Either the reporter will be off (i.e. case proven) or it's still on, but then the authors could look at the characteristic speckled morphology of neurons:

– T cell descendant PHC and Q cell descendants with unc-86(ot893) (a mNG tagged allele)

– K descendant DVB with lim-6 fosmid integrant wgIs387 (perhaps oxIs12 will also work, see below)

– G1 descendant RMH with sem-2 fosmid reporter otIs313.

Embryonic (assuming that maternal rescue is not occurring, as discussed above): The authors state that the embryonically generated head neurons cannot be counted well (with a panneuronal marker in an L1-arrested animals). But actually, this can be done quite easily using the Fiji cell-counter plugins. Alternatively, and perhaps more clearly, to provide more insight on how extensive is the role of ztf-11 on embryonically born neurons, the authors should look a little more systematcally in head neurons. I would simply suggest to use the 4 main neurotransmitter systems, assayed with eat-4 (Glu), cho-1 (ACh), oxIs12 (GABA) and cat-1 (aminergic). This covers most neurons. There's probably little need for precise cell ID here because the expectation is that there will be little if any change, i.e. simply a count of reporter-positive neuron in the head of L1-arrested ztf-1 nulls should suffice.

This is all very simple marker analysis which will allow the authors to support the interesting case of a transcription factor that controls a specific type of neurogenic events.

eLife. 2019 Aug 6;8:e46703. doi: 10.7554/eLife.46703.049

Author response


Essential revisions:

Generally, the authors need to be commended for this very rigorous analysis. However, a number of loose ends were identified that the authors should tie up:

1) The ability of ztf-11 to induce neuronal fates in V1-4 (in a lin-32-dependent manner) is a little unexpected given that ztf-11 is a target of lin-32 in V5. The authors need to test whether ztf-11 and lin-32 cross-regulate, i.e. (a) is the ability of ztf-11 to induce neuronal fates in V1-4 accompanied by turning on lin-32 expression and (b) in the V5 lineage, does lin-32 also depend on ztf-11 (feedback loop; in Figure 4A ztf-11 expression appears to commence before lin-32, so the regulation of ztf-11 by lin-32 is perhaps the feedback). This is trivial thing to test and given the genetic lin-32-dependence such feedback almost has to exist.

To address the possibility of feedback loop between LIN-32 and ZTF-11, we have now investigated LIN-32 expression in ectopic neurons induced by ZTF-11 misexpression in V1-4. We found that misexpression of ZTF-11 can indeed turn on LIN-32 in those ectopic neurons (Figure 5—figure supplement 1). Since ectopic expression of ztf-11 in V1-4 only induced ectopic neurons at a penetrance, we also examined the ZTF-11::GFP positive cells that do not show neuronal morphology and found that they did not turn on LIN-32 (Figure 5—figure supplement 1). Based on these results, we conclude that ZTF-11 can, in some contexts, induce expression of LIN-32 which leads generation of the ectopic neurons. As for the second point, we have already provided data suggesting that LIN-32 expression is independent on ZTF-11 where we show that the intensity of LIN-32 transcriptional reporter in V5 lineage is unchanged in ZTF-11 conditional knock-out (Figure 8F-G). In summary, these data suggest that the endogenous LIN-32 expression is likely independent of ZTF-11. However, ectopic expression of ZTF-11 might induce LIN-32 in specific context to induce neurogenesis.

2) An alternative explanation should be considered for results reported in Figure 6, in which pan neuronal marker gene is fully expressed in embryos homozygous for a ztf-11 null allele. The authors conclude from this result that ztf-11 is not necessary for differentiation of embryonic neurons. The problem with this interpretation is that it overlooks the more likely explanation of a maternal effect. The ztf-11(0) allele used for this experiment is lethal at the first larval stage and therefore must be maintained with a balancer chromosome. Thus, embryos that are homozygous for the ztf-11 null allele will have maternal ztf-11 mRNA that could be sufficient to sustain neuronal fate in the embryo but not for later stages that depend on zygotic expression. The authors should (a) use global ztf-11 RNAi (see Figure 8) to knockdown maternal ztf-11 mRNA in the balanced ztf-11 strain; or alternatively, (b) in which the rescue the ztf-11 null phenotype with a non-complex ztf-11 array (e.g. fosmid), mark the array with a marker that labels P1 descendant (say myo-3), find animals with dorsal/ventral bwm loss (= P2 loss = loss in germline), then score their non-transgenic offspring (larvally arrested animals).

To address the potential maternal contribution of ZTF-11 from the balanced mothers, we have further globally knocked-down ztf-11 in the balanced mothers and scored their ztf-11 null offspring. We used identical feeding RNAi clone that we have previously used to knock down ZTF-11::GFP during our RNA-seq experiments (~75% knockdown was observed with ZTF-11::GFP). We then counted the number of embryonic ventral cord motor neurons and found no significant changes compared to the ztf-11 null mutants (from heterozygous mother) without feeding RNAi (Figure 7B). We have attempted the alternative approach suggested by the reviewer as well but could not generate a stable ztf-11 rescue transgenic lines in the allocated time for revision experiments. Even so, we have noticed rare balancer-negative transgenic F1 animals which gave rise to arrested L1 offspring. These L1 worms still showed rab-3::GFP in many head neurons (no data shown). Based on these results, our data suggests that the lack of embryonic ztf-11 phenotype is unlikely to be due to maternal contributions.

3) While the analysis of several postembryonic neuronal fates is very elegantly and well done, it is quite restricted. Plus, the analysis of neuronal identity in the embryo is not quite up to par to the quality of the analysis of postembryonic fates. The authors’ work hints at an extremely intriguing possibility that is mentioned by the authors but not very well carved out and broadly enough probed: is ztf-11 function in neurogenesis restricted to those cases where the ectoblast from which the neuron is derived already is a somewhat differentiated cell? That's indeed obvious in the Y to PDA transdifferentiation event. But it's also the case of the V cells – which are also polarized differentiated skin cells which essentially "transdifferentiate" to generate things like the postdeirid. In such cases a gene like ztf-11 is apparently required to "wipe out" the non-neuronal state. But is this really true for all postembryonically generated neurons that come from such a differentiated epidermal state? In contrast, in the embryo, neural precursors don't go through such a differentiated state – and indeed ztf-11 does not appear to have much of a role in embryonic neurogenesis. The authors do of course recognize this, but could word this issue more crisply. For example, they say: "these results indicate that ztf-11 is particularly important for neurons that are generated from an established epidermal lineage". "established" is not very clear – they should say that these are cells that have fully differentiated by a number of different criteria.

Anyway, that's potentially the most exciting point of the manuscript but the authors need to take a closer look at this potential dichotomy with a few more markers for embryonic and postembryonic neurons. Specifically:

Postembryonic: are really all neurons that are generated from differentiated ectoblasts affected? Currently the authors only look at V cell descendants and Y cells, using nifty Cre/Lox approaches. I suggest that they use the plain null to assess whether a few other lineages are affected as well. As markers, they could use specific transcription factor reporters that come on in the L1, right after the respective neuron is generated. Either the reporter will be off (i.e. case proven) or it's still on, but then the authors could look at the characteristic speckled morphology of neurons:

– T cell descendant PHC and Q cell descendants with unc-86(ot893) (a mNG tagged allele)

– K descendant DVB with lim-6 fosmid integrant wgIs387 (perhaps oxIs12 will also work, see below)

– G1 descendant RMH with sem-2 fosmid reporter otIs313.

Embryonic (assuming that maternal rescue is not occurring, as discussed above): The authors state that the embryonically generated head neurons cannot be counted well (with a panneuronal marker in an L1-arrested animals). But actually, this can be done quite easily using the Fiji cell-counter plugins. Alternatively, and perhaps more clearly, to provide more insight on how extensive is the role of ztf-11 on embryonically born neurons, the authors should look a little more systematically in head neurons. I would simply suggest to use the 4 main neurotransmitter systems, assayed with eat-4 (Glu), cho-1 (ACh), oxIs12 (GABA) and cat-1 (aminergic). This covers most neurons. There's probably little need for precise cell ID here because the expectation is that there will be little if any change, i.e. simply a count of reporter-positive neuron in the head of L1-arrested ztf-1 nulls should suffice.

This is all very simple marker analysis which will allow the authors to support the interesting case of a transcription factor that controls a specific type of neurogenic events.

We thank the reviewer for these constructive suggestions. We crossed the ztf-11 mutant into multiple markers, which label the postembryonic neuroectoblast lineages including Q, K, and G1. Animals were synchronized to early L1 by bleaching and then fed for 20 hours to allow development into late L1 stages. We then scored the expression of respective cell fate markers and found that postembryonic neurons born during L1, AVM/PVM, DVB, and RMH were indeed lost (Figure 6A-F) in ztf-11 null. We did note that the number of UNC-86 expressing cells were reduced in the lumbar ganglion, potentially due to loss of T cell descendants (no data shown). Unfortunately, we found it challenging to reliably identify UNC-86-expressing postembryonic neurons (AQR/PQR, and T cell descendants) due to presence of nearby neurons and potential migration defects. In addition, we have looked into Pn lineage descendants which give rise to many ventral cord motor neurons (VMNs). We generated the ztf-11 conditional KO (ztf-11 cKO) mutant by crossing dpy-7 epidermal Cre into floxed ztf-11 allele. Interestingly, we found that the serotonergic VC4-5 neurons to be strongly affected by ztf-11 cKO (cat-1 staining lost in ~90% of animals). In cholinergic or GABAergic neurons, the phenotype was much weaker (unc-17/unc-47 staining lost in ~20% and ~5% of animals respectively) (Figure 6G-H).

We have also systemically examined embryonic head neurons in ztf-11 null mutants. We attempted to use an ImageJ plugin to automatically count confocal Z-stack images of a Pan neuronal marker in L1 animals. However, this method produced numbers that are dramatically fewer than expected in the wild type L1s, likely due to small size of early L1 animals. In the light of this technical difficulty, we performed manual counting of head neurons of 4 major neurotransmitter systems in wild type and ztf-11 null animals. We could not find differences between wildtype and ztf-11 null animals, which strengthened our previous conclusion that ZTF-11 was dispensable for embryonic neurogenesis (Figure 7C-F). Taken together, we have provided evidence that ZTF-11 is distinctively required for neurogenesis from multiple neuroectoblast lineages (we examined 6 out of 9 neuroectoblast lineages in worms) rather than embryonic neurogenesis. We have also worded this conclusion more visible in the manuscript as well.

Associated Data

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

    Data Citations

    1. Lee J, Stewart EV, Taylor CA, Barnes KM, Chen A, Bao Z, Shen A, Shen K. 2019. A Myt1 family transcription factor defines neuronal fate by repressing non-neuronal genes. NCBI Gene Expression Omnibus. GSE125694 [DOI] [PMC free article] [PubMed]

    Supplementary Materials

    Figure 2—source data 1. Raw fluorescence intensity values of ZTF-11 transcriptional reporter in wild-type or hlh-2(tm1768) animals.
    DOI: 10.7554/eLife.46703.009
    Figure 2—source data 2. Normalized fluorescence intensity values of wild-type or ∆E-box transcriptional reporters.
    DOI: 10.7554/eLife.46703.010
    Figure 4—source data 1. Number of cell nuclei expressing both LIN-32 and SCM fate markers.
    DOI: 10.7554/eLife.46703.016
    Figure 4—source data 2. Raw fluorescence intensity values of floxed ZTF-11::GFP in wild-type(-cre) or ztf-11 cKO animals.
    DOI: 10.7554/eLife.46703.017
    Figure 5—source data 1. Number of counted animals of each genotype with associated phenotypes.
    DOI: 10.7554/eLife.46703.020
    Figure 5—source data 2. Number of counted animals of each genotype with associated phenotypes.
    DOI: 10.7554/eLife.46703.021
    Figure 5—source data 3. Raw counts of cells counted with associated phenotypes.
    DOI: 10.7554/eLife.46703.022
    Figure 6—source data 1. Raw counts of neurons expressing respective neurotransmitter markers in wild-type (-cre) or ztf-11 cKO animals.
    DOI: 10.7554/eLife.46703.024
    Figure 7—source data 1. Raw counts of RAB-3 expressing nuclei in animals of each genotypes.
    DOI: 10.7554/eLife.46703.027
    Figure 7—source data 2. Raw counts of nuclei expressing respective neurotransmitter markers in wild-type or ztf-11(tm2315) animals.
    DOI: 10.7554/eLife.46703.028
    Figure 7—source data 3. Raw counts of thrashes exhibited by animals of each genotypes.
    DOI: 10.7554/eLife.46703.029
    Figure 8—source data 1. Raw counts of LIN-22 expression in V cells in wild-type of ztf-11 cKO animals.
    DOI: 10.7554/eLife.46703.031
    Figure 8—source data 2. Raw counts of PVD or PVD-like cells in animals of each genotype.
    DOI: 10.7554/eLife.46703.032
    Figure 8—source data 3. Raw fluorescence intensity values of LIN-32 transcriptional reporter in wild-type(-Cre) or ztf-11 cKO animals.
    DOI: 10.7554/eLife.46703.033
    Figure 10—source data 1. Number of animals with associated phenotypes in wild-type or transgenic lines expressing transcriptional repressor (EnR-ZF) or activator (VP64-ZF) fusion proteins.
    DOI: 10.7554/eLife.46703.037
    Figure 10—source data 2. Number of counted animals of each genotype with associated phenotypes.
    DOI: 10.7554/eLife.46703.038
    Figure 10—source data 3. Number of mCherry-tagged corepressor molecules in each raw images.
    DOI: 10.7554/eLife.46703.039
    Supplementary file 1. Embryonic cell lineages expressing ZTF-11, up to 350-cell stage and their postmitotic identities.
    elife-46703-supp1.jpg (1.6MB, jpg)
    DOI: 10.7554/eLife.46703.040
    Supplementary file 2. Differentially expressed genes in ztf-11 knockdown embryos.
    elife-46703-supp2.xlsx (3.4MB, xlsx)
    DOI: 10.7554/eLife.46703.041
    Supplementary file 3. Strains used for this study.
    elife-46703-supp3.xlsx (13.7KB, xlsx)
    DOI: 10.7554/eLife.46703.042
    Supplementary file 4. DNA constructs and oligos used for this study.
    elife-46703-supp4.xlsx (12.7KB, xlsx)
    DOI: 10.7554/eLife.46703.043
    Transparent reporting form
    DOI: 10.7554/eLife.46703.044

    Data Availability Statement

    Sequencing data have been deposited in GEO under accession code GSE125694. All data generated or analysed during this study are included in the manuscript and supporting files. Source data files have been provided whenever applicable.

    The following dataset was generated:

    Lee J, Stewart EV, Taylor CA, Barnes KM, Chen A, Bao Z, Shen A, Shen K. 2019. A Myt1 family transcription factor defines neuronal fate by repressing non-neuronal genes. NCBI Gene Expression Omnibus. GSE125694


    Articles from eLife are provided here courtesy of eLife Sciences Publications, Ltd

    RESOURCES