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. 2023 Jul 14;12:e89702. doi: 10.7554/eLife.89702

Forkhead transcription factor FKH-8 cooperates with RFX in the direct regulation of sensory cilia in Caenorhabditis elegans

Rebeca Brocal-Ruiz 1, Ainara Esteve-Serrano 1, Carlos Mora-Martínez 1, Maria Luisa Franco-Rivadeneira 2, Peter Swoboda 3, Juan J Tena 4, Marçal Vilar 2, Nuria Flames 1,
Editors: Douglas Portman5, Piali Sengupta6
PMCID: PMC10393296  PMID: 37449480

Abstract

Cilia, either motile or non-motile (a.k.a primary or sensory), are complex evolutionarily conserved eukaryotic structures composed of hundreds of proteins required for their assembly, structure and function that are collectively known as the ciliome. Ciliome gene mutations underlie a group of pleiotropic genetic diseases known as ciliopathies. Proper cilium function requires the tight coregulation of ciliome gene transcription, which is only fragmentarily understood. RFX transcription factors (TF) have an evolutionarily conserved role in the direct activation of ciliome genes both in motile and non-motile cilia cell-types. In vertebrates, FoxJ1 and FoxN4 Forkhead (FKH) TFs work with RFX in the direct activation of ciliome genes, exclusively in motile cilia cell-types. No additional TFs have been described to act together with RFX in primary cilia cell-types in any organism. Here we describe FKH-8, a FKH TF, as a direct regulator of the sensory ciliome genes in Caenorhabditis elegans. FKH-8 is expressed in all ciliated neurons in C. elegans, binds the regulatory regions of ciliome genes, regulates ciliome gene expression, cilium morphology and a wide range of behaviors mediated by sensory ciliated neurons. FKH-8 and DAF-19 (C. elegans RFX) physically interact and synergistically regulate ciliome gene expression. C. elegans FKH-8 function can be replaced by mouse FOXJ1 and FOXN4 but not by other members of other mouse FKH subfamilies. In conclusion, RFX and FKH TF families act jointly as direct regulators of ciliome genes also in sensory ciliated cell types suggesting that this regulatory logic could be an ancient trait predating functional cilia sub-specialization.

Research organism: C. elegans

Introduction

Eukaryotic cilia are complex and highly organized organelles defined as specialized membrane protrusions formed from a stereotyped assembly of microtubules. Cilia are composed of hundreds of proteins, required for their assembly, structure and function, which are collectively known as the ciliome (Figure 1A). Cilia can be classified into motile or non-motile based on their function and structure: motile cilia are responsible for propelling cells or generating fluid flow while non-motile (a.k.a primary or sensory) cilia function as cellular antennae to sense extracellular stimuli (Choksi et al., 2014). Cilia appeared early in eukaryotic evolution and it is thought that in ancient unicellular eukaryotes cilia displayed mixed motile and sensory functions (Mitchell, 2017). In multicellular invertebrates, primary and motor cilia are restricted to specific cell types. In contrast, in vertebrates, primary cilia are present almost in every cell, including neurons, while motile cilia are present only in specialized cell types.

Figure 1. FKH-8 is a candidate for direct regulation of ciliome gene expression in C. elegans.

(A) Schema for a sensory cilium. Cilia components (ciliome) can be divided into core and subtype-specific categories. Core genes whose reporters are analyzed in panel C and Figure 1—figure supplement 2 are indicated by their function. (B) Lateral view of C. elegans hermaphrodite ciliated system. Sixty ciliated neurons from 25 different classes are distributed in five distinct anatomical regions. (C) Ciliome core components show persistent expression in double daf-12(sa204); daf-19(m86) mutants. The same extrachromosomal line was analyzed in the different genetic backgrounds. Each dot represents the total number of reporter-positive neurons in a single animal. Mean and standard error are represented. The mean number of remaining reporter-positive neurons in double daf-12; daf-19 mutants is indicated. Sample sizes for each genetic background: che-11: n=8; osm-1: n≥7; ift-20: n≥9; che-13: n≥7; tub-1: n≥10; xbx-1: n≥5; peli-1: n≥8. See Figure 1—source data 1 for raw data and Figure 1—figure supplements 1 and 2 for details on construct lengths and additional reporter scorings. (D) sc-RNA-seq data analysis identifies 10 TFs specifically enriched in ciliated sensory neurons. These TFs belong to FKH, ZF, NHR and HD families. See Figure 1—figure supplement 3 for detailed description of TF expression in each ciliated neuron type. (E) ChIP-seq data analysis of 259 available TFs shows that FKH-8 ranks first in direct binding to regulatory regions assigned to the ciliome gene list. See Figure 1—source data 2 for gene lists and Figure 1—figure supplement 3 for core ciliome or subtype specific binding analysis. (F) Correlation of total number of peaks versus ciliome-gene peaks shows FKH-8 behaves as an outlier, demonstrating high binding to ciliome genes is not merely due to the high number of FKH-8 binding-events.

Figure 1—source data 1. Raw quantification data of ciliome gene reporters in daf-19(m86); daf-12(sa204) included in Figure 1 and Figure 1—figure supplement 2.
Figure 1—source data 2. Gene lists and raw data for bioinformatics analysis in Figure 1 and Figure 1—figure supplement 3.

Figure 1.

Figure 1—figure supplement 1. Ciliome reporters used in this work.

Figure 1—figure supplement 1.

Schematic representation of reporter constructs used in the manuscript. Selected core cilia components contain at least one experimentally validated X-box motif in their sequences (marked as a blue bar). For che-11, che-13, osm5, ift-20, tub-1, mks-1 and osm-1 see Efimenko et al., 2005; for peli-1 see Chu et al., 2012, for xbx-1 see Schafer et al., 2003; for tmem-107 see Lambacher et al., 2016. Overlap between x-boxes and FKH-8 binding sites is found for osm-5, ift-20, peli-1, xbx-1, tub1 and osm-1.

Figure 1—figure supplement 2. Reporter expression for some core ciliome genes is abolished in daf-19(m86) mutant.

Figure 1—figure supplement 2.

Expression of short reporters for the core cilia components tmem-107, mks-1 and osm-5 is completely abolished in daf-12(sa204); daf-19(m86) double mutants. The same extrachromosomal line was analyzed in the different genetic backgrounds. n≥10. Each dot represents the total number of reporter-positive neurons scored in a single animal. Mean and standard error are represented. See Figure 1—source data 1 for raw scoring data.

Figure 1—figure supplement 3. Available -omics data identifies FKH-8 as a candidate transcriptional regulator of ciliome genes in C.elegans.

Figure 1—figure supplement 3.

(A) DAF-19/RFX motifs (X-box) are enriched in regulatory sequences of core and broadly expressed ciliome genes more prominently than in subtype-specific features. Motif logo for the palindromic X-box motif. (B) De novo motif enrichment analysis of putative regulatory sequences of ciliome genes identifies a motif matching known binding site for the pro-neural bHLH TFs lin-32 and hlh-11. (C) Two additional motifs enriched in regulatory sequences of ciliome genes containing X-box sites, show partial similarity to the DAF-19/RFX motif and to the ciliome-related motif C-BOX motif (Burghoorn et al., 2012). (D) sc-RNA-seq data of FACS-isolated neurons from L4 hermaphrodites (Taylor et al., 2021) show broad expression for ceh-57, fkh-8, nhr-158 and nhr-277 TFs across the whole ciliated system of C. elegans. Only fkh-8 expression is detected in all ciliated neuron types. Red arrows indicate values lower than 10 TPM (transcripts per million). (E) ChIP-seq data analysis shows FKH-8 ranks first among 259 TFs directly binding to either core ciliome genes (left) or subtype-specific ciliary features (right).

Most ciliome components are shared between motile and primary cilia and are referred as ‘core’ ciliome (Figure 1A). In addition, motile cilia usually contain specialized axonemal dyneins, other motile-specific components and specific signaling proteins while the membrane of sensory cilia is decorated with receptors that trigger downstream signaling cascades when they are activated by small molecules, mechanical perturbations, or radiation.

The importance and wide range of cilia functions are underscored by the large number of congenital disorders caused by mutations in genes coding for ciliome components, which are collectively called ciliopathies (Andreu-Cervera et al., 2021; Horani and Ferkol, 2021; Lucas et al., 2020; Tobin and Beales, 2009). These disorders cause a broad spectrum of symptoms including retinal degeneration, polycystic kidney, deafness, polydactyly, brain and skeletal malformations, infertility, morbid obesity and mental retardation. Importantly, there are still many ‘orphan ciliopathies’, which correspond to congenital disorders classified as ciliopathies by phenotype but with yet unidentified causal mutations. Genetic variants lying in coding genes (including mutations in the ciliome genes) are easier to identify as causal mutations, however, most variants associated to human diseases lie in the non-coding genome (Chatterjee and Ahituv, 2017; Battle et al., 2017; Timpson et al., 2018). It is currently thought that some of these non-coding variants act as regulatory mutations affecting gene expression. Thus, regulatory mutations affecting ciliome gene expression might underlie many orphan ciliopathies. Understanding the molecular mechanisms that ensure correct co-regulation of ciliome genes is then of utmost importance.

Little is known about the direct transcriptional co-regulation of ciliome gene expression (Choksi et al., 2014; Lewis and Stracker, 2021; Thomas et al., 2010). In 2000, pioneering work in Caenorhabditis elegans identified DAF-19, an RFX family transcription factor (TF), as a direct regulator of ciliome gene expression in the ciliated sensory neurons (Swoboda et al., 2000). This work was followed by numerous reports on the role of different members of the RFX TF family as direct ciliome gene regulators both in primary and motile cilia cell-types in several animal models including Drosophila melanogaster, Danio rerio, Xenopus laevis, and Mus musculus (Ashique et al., 2009; Bonnafe et al., 2004; Chung et al., 2012; Dubruille et al., 2002; Liu et al., 2007) and in humans (Sugiaman-Trapman et al., 2018). FOXJ1, an ancient member of the Forkhead family, also acts as a direct activator of ciliome gene transcription in several vertebrates, but its role is limited to cell types containing motile cilia (Brody et al., 2000; Chen et al., 1998; Stubbs et al., 2008; Vij et al., 2012; Yu et al., 2008). Thus, currently additional TFs acting together with RFX TFs in the direct regulation of the ciliome gene expression in sensory cilia cell-types are unknown in any organism.

Here, we take advantage of the amenability of C. elegans for genetic studies to understand the transcriptional regulatory logic of the non-motile primary cilliome genes. C. elegans contains sensory but not motile cilia. In hermaphrodites, sensory cilia are found in 25 out of the 118 neuronal types known as the ciliated sensory system (Inglis et al., 2007; Figure 1B). We find that FKH-8, a FKH TF, is expressed in all ciliated sensory neurons in C. elegans, with an onset of expression concomitant to the start of ciliome gene expression. Chromatin immuno-precipitation and sequencing (ChIP-seq) data analysis shows that FKH-8 binds to a broad range of ciliome genes, at locations often near X-box motifs, the binding sites for DAF-19/RFX. fkh-8 mutants show decreased ciliome reporter gene expression, cilia morphology abnormalities and deficits in a wide range of behaviors mediated by sensory cilia. In addition, we find FKH-8/FKH and DAF-19/RFX can physically interact and act synergistically in the regulation of ciliome genes. Finally, we show that mouse FoxJ1 and FoxN4, two ancient FKH TFs known to directly regulate ciliome gene expression in vertebrate motile-cilia cell types, rescue fkh-8 mutant expression defects in C. elegans. This functional conservation is not observed with members of other FKH sub-families. Our results identify FKH-8 as the first TF acting together with RFX TFs in the direct regulation of the ciliome genes in sensory-ciliated cells and suggest that this function could be evolutionary conserved in vertebrates. Taken together, a global ciliome regulatory logic starts to emerge in which RFX and FKH TFs could act together in the direct regulation of ciliome gene expression both in cell types containing motile or primary cilia. Considering that ancestral eukaryotic cilium is proposed to combine motile and sensory functions, we speculate that RFX / FKH regulatory module might represent the ancestral state of eukaryotic ciliome gene regulation.

Results

Persistent activity of regulatory regions for ciliome genes in daf-19/RFX mutants

The activity of regulatory regions controlling ciliome gene expression is dramatically reduced in daf-19(m86) null mutants. However, for several ciliome reporters, some residual activity has been anecdotally reported (Burghoorn et al., 2012; Chu et al., 2012; De Stasio et al., 2018; Efimenko et al., 2005; Haycraft et al., 2001; Swoboda et al., 2000). As daf-19 is the only RFX TF encoded in the C. elegans genome, we reasoned that persistent ciliome enhancer activity in daf-19(m86) null mutants would underscore the presence of additional TF families acting in concert with DAF-19. Based on previous data, we selected enhancers and built fluorescent reporters for ten phylogenetically conserved and broadly expressed core cilia components: five intraflagelar transport (IFT) genes (che-11, osm-1, ift-20, che-13, osm-5); the transition zone transmembrane genes tmem-107 and mks-1; a Tubby family of bipartite transcription factors involved in receptor trafficking (tub-1); the dynein-component xbx-1 and the ubiquitin protein ligase peli-1 (Figure 1A). Human orthologs for several of these genes are linked to ciliopathies (Horani and Ferkol, 2021; Mukhopadhyay et al., 2005; Thevenon et al., 2016). All fluorescent reporters contain at least one experimentally validated X-box, the binding site for DAF-19/RFX (Figure 1—figure supplement 1). To avoid the dauer constitutive phenotype of daf-19(m86) null animals, we analyzed reporter expression in daf-19(m86); daf-12(sa204) double mutants and daf-12(sa204) was used as control, as previously reported (De Stasio et al., 2018; Phirke et al., 2011).

In daf-12(sa204) worms, all reporters show broad activity in the ciliated system, with mean reporter expression in at least 30 ciliated neurons, except for mks-1 and osm-5 reporters that showed expression in less than 20 cells, suggesting other enhancers outside the analyzed sequences might drive expression in additional ciliated neurons (Figure 1C, Figure 1—figure supplement 2 and Figure 1—source data 1). As expected, daf-19(m86); daf-12(sa204) double mutants show a dramatic decrease in the number of neurons positive for each reporter (Figure 1C and Figure 1—figure supplement 2). Importantly, all reporters except tmem-107, mks-1, and osm-5, which correspond to the shortest constructs, show persistent expression in some neurons (Figure 1C, Figure 1—figure supplement 2 and Figure 1—source data 1). We hypothesized that these short constructs might lack binding sites for additional TFs acting with DAF-19. Indeed, we find that shorter versions of xbx-1 and peli-1 reporter constructs are more affected by daf-19 mutation than corresponding longer constructs, consistent with shorter sequences lacking additional regulatory information (Figure 1C). Altogether our data strongly suggests that additional TF or TFs act together with DAF-19 to directly activate core ciliome gene expression.

Identification of FKH-8 as candidate regulator of ciliome gene expression

We reasoned that similar to daf-19, additional regulators of cilia gene expression could act broadly on many genes coding for ciliome components and in many different ciliated neuron types. Thus, to identify these putative candidates, we combined three strategies: cis-regulatory analysis of the ciliome genes, TF expression enrichment in the sensory ciliated system and TF binding to putative regulatory regions of the ciliome genes.

We built a manually curated list of 163 cilium effector genes (Materials and methods and Figure 1—figure supplement 2). This list can be divided in four categories: (1) 73 ‘core components’ present in all types of cilia and thus expressed by all ciliated neurons in C. elegans. Core components include IFT particles, kinesins, dyneins, BBSome complex, etc; (2) 68 ‘Subtype specific’ genes, that code for channels or receptors located in cilia that are expressed in a neuron-type-specific manner, providing neuron-type-specific functions; (3) 13 ‘Broad expression’ genes, specifically expressed within the ciliated system but not associated with well-defined core cilia functions and (4) 9 ‘Male’ genes that code for genes with male-specific cilia functions (Figure 1—source data 2).

De novo motif enrichment analysis using the promoters of ciliome genes identified previously known RFX consensus binding sites (X-box motif). In agreement with published results, X-box motifs are preferentially associated to ‘Core’ and ‘Broadly expressed’ ciliome genes (Figure 1—figure supplement 3; Burghoorn et al., 2012; Efimenko et al., 2005; Swoboda et al., 2000). An additional motif matching the pro-neural bHLH TF lin-32/Atoh1 is present in 28% of the genes, with no particular bias to any ciliome category (Figure 1—figure supplement 3). The pro-neural binding motif might reflect the neuronal nature of this gene set, as in C. elegans cilia are only present in neurons. Motif enrichment analysis limited only to the 102 genes containing predicted X-box sites identified two additional motifs one showing similarity to DAF-19/RFX binding site and the other to the previously reported C-BOX motif for whom TF binding has not been determined (Burghoorn et al., 2012; Figure 1—figure supplement 3). Analysis limited to the 61 genes lacking predicted X-box sites failed to identify enriched motifs for known transcription factors. Thus, motif enrichment of ciliome genes regulatory regions failed to pinpoint additional TF candidates to regulate ciliome gene expression. The X-box motif consists of a long imperfect palindromic consensus binding site with high information content (Figure 1—figure supplement 3), in contrast, most TF binding motifs (TFBM) are often short and degenerate, thus predicted matches can be found at high frequency in the genome. This feature might underlie the failure to find enriched motifs for additional TFs in ciliome gene regulatory regions.

As an alternative to motif enrichment analysis, we turned to TF expression enrichment. We hypothesized that TFs acting broadly on sensory cilia gene expression could show enriched expression in the sensory ciliated neurons. Using available single cell RNA expression data (sc-RNAseq) from the second larval stage (Cao et al., 2017), we retrieved the expression pattern of 861 C. elegans transcription factors (Narasimhan et al., 2015). Ten transcription factors are specifically enriched within the ciliated sensory neurons compared to other neuron types or non-neuronal tissues (Figure 1D). Not surprisingly, daf-19 expression is not enriched in ciliated neurons, as daf-19 is expressed panneuronally and only a specific splicing isoform is restricted to ciliated neurons (Senti et al., 2008). The expression of TFs controlling terminal identity is often maintained throughout the life of the animal. Using an independent set of sc-RNAseq data from young adult (Taylor et al., 2021), we found that among the 10 TF candidates only FKH-8 expression is detected in all 25 different types of sensory ciliated neurons (Figure 1—figure supplement 3), suggesting it could be a good candidate to act together with DAF-19 in the regulation of ciliome gene expression.

Finally, we interrogated 446 published ChIP-seq datasets (Luo et al., 2020), corresponding to 259 different TFs (including FKH-8 but not DAF-19), for nearby binding to the ciliome gene list (Figure 1—source data 2). We find FKH-8 behaves very differently from the rest of TFs with at least one FKH-8 binding peak associated to 49% of the genes on the ciliome gene list (Figure 1E). FKH-8 binds both core components and subtype-specific ciliome genes (Figure 1—figure supplement 3), although similar to X-box motifs, FKH-8 binding is significantly more prevalent for core ciliome genes (75% compared to 22% binding to subtype genes). Thus, both sc-RNAseq and ChIPseq data analysis pinpoint FKH-8 as a good candidate TF to directly control ciliome gene expression.

FKH-8 is expressed in all ciliated sensory neurons

FKH-8::GFP fosmid expression at young adult stage is detected in all ciliated sensory neurons, as assessed by co-localization with the ift-20 core ciliome reporter (Figure 2A and B and Figure 2—source data 1). Three non-ciliated neurons, PVD, VC4 and VC5 show FKH-8 expression, while no expression is detected in non-neuronal tissues. C. elegans male nervous system contains additional ciliated sensory neurons, mostly in the tail, which also express FKH-8 (Figure 2B). During embryonic development, there is a similar overlap between FKH-8 and ift-20 reporters (Figure 2—figure supplement 1). Correlation between fkh-8, ift-20 and daf-19 expression during development is also observed using Uniform Manifold Approximation and Projection (UMAP) representation of embryonic sc-RNA-seq data (Packer et al., 2019; Figure 2—figure supplement 1). In addition, there is a high gene expression correlation for the 73 core ciliome genes and daf-19 or fkh-8 expression but not with other TFs (Figure 2—figure supplement 1). Thus, our analysis shows that FKH-8 is expressed almost exclusively in the whole ciliated sensory system and its developmental expression correlates with core ciliome gene expression.

Figure 2. FKH-8 is expressed in sensory ciliated neurons, binds ciliome genes near DAF-19 X-boxes and physically interacts with DAF-19.

(A) fkh-8 locus (top) and fosmid based fkh-8 reporter (bottom). Grey boxes represent exons and orange boxes correspond to exons coding for the FKH DNA binding domain (DBD). Putative daf-19/RFX binding sites (X-boxes) are depicted with blue lines. Red bars indicate extension for the corresponding deletion alleles. (B) Dorso-ventral views of young adult animals expressing both the fosmid-based FKH-8::GFP reporter (in green) and an integrated reporter for the panciliary marker ift-20 (in red). A: anterior, P: posterior, R: right, L: left. Scale bar = 10 µm. See Figure 2—source data 1 for quantification and Figure 2—figure supplement 1 for embryonic expression patterns and expression correlation with DAF-19 and ciliome genes. (C) Genes associated to nearby FKH-8 binding events enrich Gene Ontology terms related to cilia regulated processes and/or functions. Data correspond to adjusted p-value. See Figure 2—source data 2 for gene lists associated to GO terms (D) De novo motif analysis of FKH-8 ChIP-seq data identifies a motif present in 27% of peaks, enriched at central positions, that matches a Forkhead like (FHL) motif. (E) DAF-19/RFX binding motifs (PWM M1534_1.02) are present in 21% of the FKH-8 bound regions and are enriched at central positions. See Figure 2—figure supplement 2 for similar analysis on additional FKH ChIP-seq data sets. (F) Distribution of ciliome genes in four different categories: (1) genes with both X-box motifs and FKH-8 binding events; (2) genes with only FKH-8 binding; (3) Genes with X-box motifs only and (4) Genes with neither FKH-8 binding or X-boxes. Most ciliome genes contain both X-boxes and FKH-8 peaks, this dual signature is highly prevalent in core ciliome genes while is minoritary in subtype ciliome genes. See Figure 2—source data 2 for gene lists associated to each signature. (G) Distance between X-boxes found in ciliome genes and the center of the nearest FKH-8 ChIP-seq peak. 42% of X-boxes are located less than 600 bp from a FKH-8 ChIP-seq peak. See Figure 2—figure supplement 2 for differential analysis of core and subtype ciliome genes. (H) Co-immuno precipitation of HA tag FKH-8 and FLAG tag DAF-19 expressed in HEK293 cells shows physical interaction between both transcription factors in the soluble fraction of nuclear extracts. MEK2 is used to assess for the presence of cytoplasmic components and Histone H3 to assess the presence of chromatin. See Figure 2—source data 3 for original blots and Figure 2—figure supplement 2 for additional analysis of interaction in chromatin associated fractions.

Figure 2—source data 1. Raw quantification data of FKH-8 and ift-20 reporter co-expression represented in Figure 2B.
Figure 2—source data 2. Raw data for bioinformatics analysis in Figure 2 and Figure 2—figure supplements 1 and 2.
elife-89702-fig2-data2.xlsx (168.2KB, xlsx)
Figure 2—source data 3. Co-IP original files of unedited gels in Figure 2.

Figure 2.

Figure 2—figure supplement 1. fkh-8 expression along ciliated system development.

Figure 2—figure supplement 1.

(A) Representative Z projections of developmental embryonic milestones until hatching (L1) shows FKH-8::GFP fosmid reporter expression matches in time and space panciliary reporter ift-20::gfp expression. Scale bar = 10 µm. (B) Representative Z projections of two fold embryo and fist larval stage (L1) animals expressing both FKH-8::GFP fosmid reporter (in green) and an integrated reporter for the panciliary marker ift-20:: tagRFP (in red). Note that due to long maturation time of the tag-RFP reporter, ift-20::tagRFP expression is only detected from the two fold stage, while ift-20::gfp reporter in (A) is first detected at bean stage, similar to fkh-8 expression. Scale bar = 10 µm. (C) Single Z-plane from regions indicated in (B) show colocalization of FKH-8::GFP and RFP in the ciliated sensory neurons. (D) Embryonic sc-RNA-data (Packer et al., 2019) from C. elegans ciliated neurons and their progenitor cells. Pseudo-time (left pannel) shows the maturation trajectory of ciliated neurons that coincides with increasing ift-20, fkh-8, and daf-19 expression. (E) Correlation index of fkh-8, daf-19 and hlh-14 TF scRNAseq expression and four different gene categories (core ciliome, subtype ciliome, panneuronal or ubiquitous) in all ciliated lineages (Packer et al., 2019). fkh-8 and daf-19 expression shows high correlation index with core ciliome genes but not with other gene categories, while hlh-14, bHLH TF not involved in ciliogenesis shows low correlation values in all categories. See Figure 2—source data 2 f for raw data.
Figure 2—figure supplement 2. FKH-8 binds near X-BOX motifs.

Figure 2—figure supplement 2.

(A) Analysis of DAF-19/RFX binding motifs (PWM M1534_1.02) in peaks for ChIP-seq datasets of other C. elegans FKH TFs present in ENCODE database. There is no significant enrichment for DAF-19 motif in FKH-2, FKH-3, and FKH-10 datasets. Motif enrichment in FKH-4, FKH-6, and PHA-4 datasets is less significant and shows less defined enrichment in the centre of the peaks. p represents p Value associated to motif enrichment and % refers to the number of peaks with the motif present. EM: Embryo mixed stage; L1: Larval stage 1; L3: Larval stage 3, L4: Larval stage 4, LE: Late embryo. See Figure 2—source data 2 for detailed data. (B) Distance between X-boxes found in the promoter regions of core ciliome genes and the center of the nearest FKH-8 ChIP peak. 63% of X-boxes are located less than 600 bp from a FKH-8 ChIP peak. (C) Distance between X-boxes found in the promoter regions of subtype ciliome genes and the center of the nearest FKH-8 ChIP peak. 9% of X-boxes are located less than 600 bp from a FKH-8 ChIP peak. (D) Co-immuno precipitation of FKH-8 and DAF-19 expressed in HEK293 cells. Micrographs shows nuclear localization of transfected HA::FKH-8 and FLAG::DAF-19. In addition to the interaction detected in the soluble nuclear fraction (Figure 2), both factors also interact bound to DNA (chromatin fraction). See Figure 2—figure supplement 2—source data 1 for original blots.
Figure 2—figure supplement 2—source data 1. Co-IP original files of unedited gels for the chromatin fraction.

FKH-8 binds near X-boxes associated to ciliome genes

Next, we extended FKH-8 ChIPseq data analysis to the whole genome. FKH-8 binds a total of 5035 genomic regions assigned to 3987 genes. Most peaks are associated to promoter regions (58.65%). Gene ontology analysis of FKH-8 bound genes shows enrichment for cilia functions or dauer regulation (which is also dependent on cilia integrity; Figure 2C, Figure 2—source data 2).

DNA consensus motifs bound by FKH-8 have not been experimentally determined. FKH TF family binds the canonical consensus RYMAAYA (Pierrou et al., 1994) and an alternative motif, termed FKH-like (FHL), characterized by a GACGC core sequence (Nakagawa et al., 2013). De novo motif enrichment analysis of FKH-8 ChIP-seq peaks does not show any match for FKH canonical binding site but identifies a motif that highly resembles the FHL motif (Figure 2D). This motif, present in 27% of the peaks, is enriched at central positions suggesting it could act as FKH-8 primary binding motif (Figure 2D).

We noticed that eight out of the 12 functional X-boxes present in the core ciliome gene reporters analyzed in Figure 1C overlap with FKH-8 ChIP-seq peaks (Figure 1—figure supplement 1). Thus, we next looked for X-box enrichment in FKH-8 bound regions. 21% of FKH-8 peaks contain at least one match for the DAF-19 position weight matrix (Figure 2E). Importantly, X-boxes are preferentially found also at central locations, suggesting they could be in close proximity to FKH-8-bound sites (Figure 2E). X-boxes are less significantly or not significantly enriched in ChIP-seq datasets for other FKH TFs (Figure 2—figure supplement 2 and Figure 2—source data 2), which is consistent with specific co-binding of DAF-19 and FKH-8.

Next, we analyzed the presence of X-boxes and FKH-8 binding events specifically associated to ciliome genes. Regulatory sequences for 34% of ciliome genes contain both X-box motifs and FKH-8 genomic binding (Figure 2F and Figure 2—source data 2). This dual regulatory signature is more prevalent in core ciliome genes (present in 62% of this gene category) than in subtype-specific ciliome (present in 6% of these genes) (Figure 2F and Figure 2—source data 2). In addition, most X-boxes are located less than 600 bp from the center of its closest FKH-8 ChIP-seq peak (Figure 2G), this close proximity is a feature of core-ciliome components (found in 66% of core ciliome genes) but not for sub-type ciliome genes (only 9% of X-boxes found in this category contain a nearby FKH-8 peak) (Figure 2—figure supplement 2 and Figure 2—source data 2).

Finally, we assessed FKH-8 and DAF-19 physical interaction by co-expression in HEK293 cells and co-immunoprecipitation. Our results show that FKH-8 and DAF-19 interact bound to DNA (Figure 2—figure supplement 2 and ) and more importantly also in the nuclear soluble fraction free of chromatin (Figure 2H and Figure 2—source data 3). In summary, our data is consistent with FKH-8 and DAF-19 acting together to regulate ciliome gene expression, particularly in core cilia components.

fkh-8 mutants show defects in ciliome reporter gene expression

The only available fkh-8 mutation, tm292, is a deletion downstream the FKH DNA binding domain, suggesting it might not be a null allele (Figure 2A, Figure 2—source data 1). Thus, we built fkh-8(vlc43), a deletion allele that removes the whole fkh-8 coding region (Figure 2A). We selected eight reporters for six genes that code for core cilia components and that overlap with FKH-8 ChIP-seq peaks (Figure 1—figure supplement 1) and analyzed their expression in fkh-8(tm292) and fkh-8(vlc43) mutants.

Both fkh-8 mutant alleles show significant expression defects in all reporters except for tub-1/Tub and the long peli-1/Peli1,2,3 and xbx-1 reporters (Figure 3A and B Figure 3—figure supplement 1 and Figure 3—source data 1). Lack of fluorescence reporter expression in fkh-8 mutants reflects enhancer activity defects and not the absence of the ciliated neurons per se, as tub-1/Tub and the long peli-1/Peli1,2,3 reporters are expressed in 53 and 46 ciliated neurons respectively in fkh-8 mutants, similar to wild type expression levels (Figure 3—figure supplement 1 and Figure 3—source data 1). Phenotypes are often more penetrant in fkh-8(vlc43) null allele than in the fkh-8(tm292) and both fkh-8(vlc43) and fkh-8(tm292) heterozygote animals show similar reporter expression levels as wild type indicating both alleles are recessive and tm292 is a hypomorph (Figure 3—figure supplement 1).

Figure 3. FKH-8 TF and FKH-binding sites are required for correct core ciliome gene reporter expression.

(A) Dorso-ventral images from young adult heads expressing different core ciliome multicopy array gene reporters in wild type and fkh-8(vlc43) null mutant animals. All reporters are extrachromosomal arrays except for ift-20 reporter which is integrated. Arrow heads point deirid expression lost in the mutant. A: anterior, P: posterior, R: right, L: left. (B) Quantification of the number of gfp-positive cells in five distinct anatomical regions for each reporter in wild type, fkh-8(tm292) hypomorphic allele and fkh-8(vlc43) null mutant. To facilitate comparisons, values in each region are normalized to controls. The same extrachromosomal line was analyzed in the different genetic backgrounds. Each dot represents the number of reporter-expressing neurons scored in a single animal. Mean and standard error are represented. Black asterisk denotes significantly different from wild type and orange asterisk indicates vlc43 is significantly different from tm292 allele. Sample sizes for each genetic background: ift-20: n≥10; osm-9: n=9; osm-5: n≥8; peli-1: n≥7; xbx-1: n≥5. See Figure 3—source data 1 for raw scoring data, Figure 3—figure supplement 1 for analysis of the hypomorphic recessive nature of the tm292 allele and quantification of additional reporters not affected in fkh-8 mutants, see Figure 3—figure supplement 2 and Figure 3—source data 2 for functional characterization of predicted FKH binding sites in ift-20 and xbx-1 regulatory regions. (C) Dorso-ventral images from young adult heads expressing GFP from the endogenously tagged osm-5 locus [osm-5(syb6528), osm-5::SL2::GFP::H2B] in wild type and fkh-8(vlc43) null mutant. A global decrease in fluorescence intensity is detected in fkh-8(vlc43) animals compared to wild type. Scale bar = 25 µm. (D) Fluorescence intensity level quantification in specific ciliated neuron populations shows significant reduction of expression in fkh-8(vlc43) animals. A. U.: arbitrary units. See Figure 3—source data 1 for raw scoring data. n≥20 for each cell type and genetic background.

Figure 3—source data 1. Raw quantification data of ciliome gene reporter expression defects in fkh-8 mutants and cis-regulatory point mutation analysis corresponding to Figure 3 and Figure 3—figure supplements 1 and 2.
elife-89702-fig3-data1.xlsx (122.6KB, xlsx)
Figure 3—source data 2. Motif enrichment analysis of xbx-1 and ift-20 reporters.

Figure 3.

Figure 3—figure supplement 1. f. fkh-8(tm292) is a hypomorphic recessive allele.

Figure 3—figure supplement 1.

(A) Quantification of the number of gfp-positive cells in five distinct anatomical regions for each reporter in wild type, fkh-8(tm292) hypomorphic allele and fkh-8(vlc43) null mutant. To facilitate comparisons, values in each region are normalized to controls. The same extrachromosomal line was analyzed in the different genetic backgrounds. Each dot represents the number of reporter-expressing neurons scored in a single animal. Mean and standard error are represented. fkh-8(tm292) and fkh-8(vlc43) show similar expression values than wild type for these markers. See Figure 3—source data 1 for raw scoring data. (B) Quantification of the number of ift-20::rfp-positive cells in wild type, fkh-8(tm292) and fkh-8(vlc43) mutants shows stronger defects in vlc43 null allele.: n≥5. (C) Heterozygote cross progeny from wild type, fkh-8(tm292) and fkh-8(vlc43) show similar number of ift-20::rfp-positive cells denoting the recessive nature of both alleles. n≥10.
Figure 3—figure supplement 2. f. Functional characterization of putative FKH sites in cis-regulatory modules of two core ciliome components.

Figure 3—figure supplement 2.

(A) Schematics for the ift-20 and xbx-1 loci and reporters. Dark grey boxes represent exons whereas light grey boxes correspond to UTRs. FKH-8 Chip-seq peaks are depicted with an orange horizontal line while predicted FKH DNA binding motifs are indicated with a vertical orange bar. Sequences corresponding to wild type and mutated putative FKH sites are indicated. See Figure 3—source data 2 for FKH putative binding site assignment. (B) Cis-regulatory mutation of putative FKH sites greatly reduces ciliome gene reporter expression. Representative dorso-ventral images from young adult heads expressing wild type or FKH-site-mutated reporters for core ciliome genes ift-20 (left) and xbx-1 (right). A: anterior, P: posterior, R: right, L: left. Scale bar = 25 µm. (C) Quantification of total number of gfp-positive cells for wild type and point mutated gfp reporters. Each graph represents one of the five anatomical regions scored. Three different extrachromosomal lines were analyzed for each construct. Each dot represents the number of reporter-expressing neurons scored in a single animal. Statistically significant differences are indicated with asterisks. See Figure 3—source data 1 for raw scoring data. n=10.

Endogenously tagged osm-5 core cilome gene [osm-5(syb6528), osm-5::SL2::GFP::H2B] shows panciliary expression in wild type animals (Figure 3C), fluorescence intensity is greatly reduced in fkh-8(vlc43) animals (Figure 3C and D) further supporting the role of FKH-8 in direct control of ciliome gene expression.

fkh-8(vlc43) animals show missing ift-20 expression in ten neurons including the four pairs of dopaminergic ciliated mechanosensory neurons (CEPV, CEPD, ADE and PDE). Expression in fkh-8(vlc43) animals of fkh-8 cDNA under the control of a dat-1 dopaminergic specific promoter, which is unaffected in fkh-8 mutants (see below Figure 7 and Figure 7—source data 1), is able to rescue ift-20 reporter expression, consistent with a cell autonomously role of fkh-8 in the regulation of ciliome gene expression.

Next, we complemented the TF mutant analysis with cis-regulatory mutant analysis. We focused on ift-20 and short xbx-1 reporters which both overlap with FKH-8 ChIP-seq peaks (Figure 3—figure supplement 2). Three independent transgenic lines with point mutations for FKH binding sites show broad expression defects both for ift-20 and xbx-1 reporters (Figure 3—figure supplement 2 and Figure 3—source data 1 and 2). cis-mutation expression defects are stronger than the ones observed for fkh-8 mutant alleles suggesting either other FKH factors can compensate the lack of fkh-8 or that cis-mutations could affect the binding of other TFs in addition to FKH-8. Future work will be required to assess if other FKH TFs are expressed in specific subpopulations of ciliated neurons and if they can compensate for the lack of FKH-8.

In summary, our cis regulatory and fkh-8 mutant analyses together with ChIP-seq data unravel a cell autonomous role for FKH-8 in the direct regulation of ciliome gene expression.

FKH-8 and DAF-19/RFX act synergistically

FKH-8 binds five different locations in the daf-19 locus (Figure 4A) while fkh-8 locus contains 3 putative X-box sites (Figure 2A), suggesting they could cross-regulate each other’s expression. Transcription of daf-19 generates different isoforms that share the carboxyl terminal (Ct) domain and the RFX DNA binding domain but differ in the amino-terminal region (Figure 4A). Some of these isoforms are expressed in a mutually exclusive manner: daf-19d is specifically expressed in ciliated neurons while daf-19a/b isoforms are expressed in the rest of the nervous system but not in ciliated neurons (Senti et al., 2008). Accordingly, a fosmid-based Ct-tagged DAF-19 reporter that labels all isoforms is broadly expressed in neurons (Figure 4—figure supplement 1). We did not find any obvious DAF-19::GFP expression defects in fkh-8(vlc43) mutants (Figure 4—figure supplement 1). Co-localization of DAF-19::GFP with dat-1::mcherry dopaminergic reporter expression or DiD lipophilic staining also reveals similar expression in wild type and fkh-8(vlc43) mutants in the dopaminergic or amphid ciliated neurons (Figure 4—figure supplement 1). Thus, our data suggest that, despite its extensive binding to daf-19 locus, FKH-8 does not seem to be required for daf-19 expression in ciliated neurons.

Figure 4. FKH-8 and DAF-19 exhibit crosstalk and synergistic effects in the transcriptional regulation of ciliome genes.

(A) daf-19 locus codes for five different daf-19 isoforms. Grey boxes represent exons whereas blue boxes correspond to exons coding for the RFX DNA binding domain (DBD). FKH-8 binding events are depicted as orange lines. Red arrows locate mutations of the corresponding alleles. (B) Lateral views from young adult hermaphrodite heads expressing fkh-8 fosmid-based reporter (wgIs652). Lack of all daf-19 isoforms (m86 allele) derepresses fkh-8 in non-ciliated neurons. This phenotype is mimicked by the specific absence of long daf-19a/b isoforms (of5 allele). Scale bar = 25 µm. See Figure 4—figure supplement 1 for unaffected DAF-19 expression in ciliated neurons in fkh-8(vlc43) mutants. (C) Dorso-ventral images from young adult hermaphrodites showing core ciliome ift-20 reporter expression in different genetic backgrounds. Scale bar = 25 µm. (D) Mean number of ift-20 reporter-expressing neurons in daf-12(sa204); daf-19(m86), fkh-8(tm292) triple mutants is significantly different from each of the double mutants and significantly lower than the expected from the multiplicative effect of both daf-12(sa204); fkh-8(tm292) and daf-12(sa204); daf-19(m86) animals. The same extrachromosomal line was analyzed in the different genetic backgrounds. Each dot represents the number of reporter-expressing neurons scored in a single animal. Mean and standard error are represented. See Figure 4—figure supplement 2 for quantification of FKH-8 and DAF-19 synergistic effects in xbx-1 and peli-1 reporter expression and Figure 4—source data 1 for raw data and statistics for all analyzed genetic backgrounds. n≥10 for each genetic background. (E) Analysis of osm-1 and xbx-1 ciliome reporters in specific subpopulations of ciliated neurons. CEPV and CEPD are labeled with dat-1::mcherry (otIs181) and srh-211:: tagRFP (vlcEx1365) is expressed in PHA neuron, both reporters are unaffected in all genetic backgrounds. Quantification of ciliome reporters is depicted in the corresponding graphs. Figure 4—source data 1 for raw data and statistics for all analyzed genetic backgrounds, n=30 worms per genotype and reporter construct.

Figure 4—source data 1. Raw quantification data of synergistic actions of fkh-8 and daf-19 depicted in Figure 4, Figure 4—figure supplements 1 and 2.

Figure 4.

Figure 4—figure supplement 1. Lack of FKH-8 has no major effect on DAF-19 expression.

Figure 4—figure supplement 1.

(A) Representative lateral views from heads of young adult hermaphrodites co-expressing a fosmid-based DAF-19::GFP reporter and dat-1::mcherry reporter labeling the dopaminergic neurons. Lack of FKH-8 does not affect DAF-19::GFP expression pattern. Co-localization analysis shows normal expression in the dopaminergic ciliated neurons (CEPV, CEPD, ADE, PDE), quantified in the graphs. Scale bar = 20 µm. See Figure 4—source data 1 for raw data. N=50. (B) daf-19 expression is largely unaffected in the subpopulation of DiD-positive ciliated amphid neurons in null fkh-8 mutant animals. DAF-19::GFP is consistently detected in the ASI, ADL and AWB neurons in both wild type and null fkh-8 mutant backgrounds. Mean and standard deviation are represented. n=10 animals.
Figure 4—figure supplement 2. FKH-8 and DAF-19 show synergistic effects in the transcriptional regulation of the ciliome.

Figure 4—figure supplement 2.

(A) Representative micrographs of kap-1 reporter expression in different genetic backgrounds. kap-1::gfp is unaffected in fkh-8(tm292) and ectopically expressed both in daf-19(m86); daf-12(sa204) and daf-12(sa204); daf-19(m86), fkh-8(tm292). Ectopic expression is more evident in the posterior part of the head, labeled with a white line. (B) Quantification of kap-1 reporter expression in different subpopulations of sensory ciliated neurons shows similar expression in fkh-8(vlc43) null mutants and wild type animals. N≥19. (C) Representative micrographs of embryonic ift-20::rfp expression after ectopic expression of DAF-19D and FKH-8 through a heatshock inducible promoter. Two-cell stage embryos were grown at 20 °C for 4 hours and then heat shocked at 37 °C for 20 min, embryos were scored for ectopic ift-20::rfp 20 hours after heatshock. Two different lines were analyzed for each construct. 100% of embryos with DAF19D ectopic expression show ectopic ift-20::rfp expression, while heatshocked embryos without array had normal ift-20::rfp expression (Line 1 n=24 embryos with array, n=11 embryos without array; Line 2 n=21 embryos with array, n=12 embryos without array). Ectopic FKH-8 expression had no obvious effect on ift-20::rfp. (Line 1 n=10 embryos with array, n=5 embryos without array; Line 2 n=15 embryos with array, n=3 embryos without array). (D) Quantification of ciliome reporters in fkh-8 and daf-19 mutants. The same extrachromosomal line was analyzed in the different genetic backgrounds. Each dot represents the number of reporter-expressing neurons scored in a single animal. Mean and standard error are represented. For both reporters, triple mutant is significantly different from each of the double mutants and significantly lower than the expected from the multiplicative effect of both daf-12(sa204); fkh-8(tm292) and daf-12(sa204); daf-19(m86) animals. n≥6.

Next, we assessed FKH-8::GFP fosmid expression in daf-19(m86); daf-12(sa204) double mutant. In contrast to ciliated-neuron-specific expression pattern seen in wild type, FKH-8::GFP is expressed seemingly pan-neuronally in daf-19(m86); daf-12(sa204) double mutants (Figure 4B), suggesting a repressive role for DAF-19. FKH-8::GFP expression in the PDE dopaminergic ciliated sensory neuron is unaffected in daf-19(m86); daf-12(sa204) double mutants as assessed by co-localization with dat-1:cherry [91% PDE neurons are FKH-8::GFP positive in wild type animals and 92% in daf-19(m86); daf-12(sa204) mutants], suggesting that FKH-8::GFP expression is unaffected by the lack of daf-19 in ciliated neurons (Figure 4—source data 1). daf-19(m86) allele affects all isoforms; as DAF-19 isoform D is expressed in ciliated neurons, our results suggest DAF-19D is not necessary for FKH-8 expression in ciliated neurons. In contrast, DAF-19 isoforms A and B seem to repress FKH-8 expression in non-ciliated neurons, in agreement with this hypothesis, daf-19(of5), a mutant allele that specifically affects daf-19 a/b isoform expression (Figure 4A) shows similar pan-neuronal de-repression of FKH-8::GFP (Figure 4B). Consistent with the role for DAF-19A/B as repressor (De Stasio et al., 2018; Senti et al., 2008), we also found kap-1 ciliome gene reporter is de-repressed in daf-19(m86); daf-12(sa204) mutants (Figure 4—figure supplement 2). Interestingly, both kap-1 expression in ciliated neurons as well as kap-1 de-repression in daf-19 mutants is independent of FKH-8 (Figure 4—figure supplement 2). In AWB neurons, kap-1 reporter expression is regulated by FKH-2 transcription factor which is a downstream target of DAF-19 (Mukhopadhyay et al., 2007). We find fkh-2 fosmid reporter (wgIs185) expression in AWB is also independent of FKH-8 (Figure 4—source data 1) further supporting that kap-1 expression in wild type and de-repression in daf-19 mutants is independent of FKH-8.

Altogether our data supports previous results on the repressive role of DAF-19 A/B long isoforms (De Stasio et al., 2018; Senti et al., 2008), which at least in part seems to be independent of FKH-8 activity.

Next, we assessed sufficiency of DAF-19 and FKH-8 for the expression of ift-20 core ciliome gene reporter. Using a heat shock inducible promoter, we ectopically expressed DAF-19D during embryonic development. DAF-19D induction was sufficient to produce ectopic ift-20 expression while similar FKH-8 expression did not produce any significant effect (Figure 4—figure supplement 2). These results, together with the stronger phenotypes of daf-19(m86) mutants, indicate that although both TFs are required for ciliome gene expression, RFX TFs display more instructive functions in ciliome gene expression.

Considering that DAF-19 and FKH-8 share several ciliome gene targets, bind the regulatory regions of ciliome genes in close proximity and both can physically interact, we aimed to assess if DAF-19 and FKH-8 cooperate in the regulation of ciliome gene expression. daf-19 and fkh-8 genes are both located in chromosome II, despite several attempts, we failed to generate daf-19(m86), fkh-8(vlc43) II; daf-12(sa204) triple mutants but we were able to obtain daf-19(m86), fkh-8(tm292); daf-12(sa204) recombinant animals. To study synergistic effects, we counted the number of reporter expressing cells in the different genetic backgrounds. Loss of ift-20, peli-1, and xbx-1 reporter expression in triple mutants is greater than what will be expected for the multiplicative effect of the individual daf-19(m86); daf-12(sa204) and fkh-8(tm292); daf-12(sa204) phenotypes (Figure 4C and D and Figure 4—figure supplement 2) suggesting FKH-8 and DAF-19 could act synergistically. Of note, these reporters still show some vestigial expression in the triple mutant (Figure 4C and Figure 4—figure supplement 2). We CRISPR-engineered a full deletion of the fkh-8 locus in the daf-19(m86); daf-12(sa204); ift-20::rfp strain which generated a viable triple null mutant [fkh-8 (vlc39) allele]. These animals show similar residual ift-20 expression in a couple neurons (Figure 4C), based on location we tentatively identified them as CEPV or BAG neurons, however lack of co-expression using specific reporters (otIs259 [dat-1::gfp] and rpIs3 [gcy-33p::GFP]) discard these neuron identities. Taking into consideration that daf-19(m86) mutants show ectopic expression for some ciliome genes and the absence of other ciliated neuron candidates in the region, we conclude ift-20-positive cells in triple mutants are not likely to be ciliated neurons.

Importantly, although our analysis of total number of cells suggest synergy between FKH-8 and DAF-19, ectopic reporter expression in daf-19(m86) mutants could be masking additional synergistic effects. Thus, to unequivocally determine synergy, we labeled specific ciliated neuron populations in the different genetic backgrounds. We find osm-1 reporter expression in CEPV and CEPD neurons is unaffected or only slightly affected in fkh-8(tm292); daf-12(sa204) and daf-19(m86); daf-12(sa204) double mutants compared to daf-12(sa204) controls but is completely abolished in triple mutants (Figure 4E and Figure 4—source data 1). Similarly, xbx-1 expression in PHA neurons is only significantly affected in triple mutants (Figure 4E and Figure 4—source data 1). These data strongly suggest FKH-8 and DAF-19 act synergistically in the expression of specific ciliome genes and cellular contexts.

FKH-8 is required for correct cilia morphology

Mutations in several ciliome core components, including osm-5 and xbx-1, whose reporters are affected in fkh-8 mutants, show cilium morphology defects (Blacque et al., 2004; Mukhopadhyay et al., 2007; Perkins et al., 1986; Starich et al., 1995). In addition, cilia length is controlled by a balance between cilia assembly and disassembly regulated by IFT and mutants for ciliome components can produce both shortened or elongated cilia (Blacque et al., 2004; Burghoorn et al., 2007; Fujiwara et al., 1999). One of the most commonly used methods to assess gross cilium integrity is lipophilic dye staining (like DiD), which in wild type animals labels a subpopulation of amphid and phasmid neurons (Starich et al., 1995). Despite ciliome gene expression defects, fkh-8(vlc43) animals show similar DiD staining compared to wild type (Figure 4—source data 1).

Next, we directly analyzed cilium morphology labeling specific subpopulations of ciliated neurons (Figure 5, Figure 5—source data 1). Cilium length in CEP and AWB neurons is significantly reduced in fkh-8(vlc43) mutants compared to controls, while ADF neuron cilium length is significantly increased (Figure 5, Figure 5—source data 1). In addition, fkh-8 mutants display arborization defects in AWA cilia (Figure 5, Figure 5—source data 1). Of note, osm-5 kinesin, which our data show is a direct target for FKH-8, is required for correct AWB cilia morphology (Mukhopadhyay et al., 2007), which is also affected in fkh-8 mutants, suggesting both phenotypes could be correlated.

Figure 5. fkh-8(vlc43) null mutants display morphological defects in cilia.

Integrated reporters unaffected in fkh-8 mutant are used to label the cilia of several distinct subpopulations of ciliated neurons. CEP: otIs259(dat-1::gfp); ADF: zdIs13(tph-1::gfp); AWB: kyIs104(str-1::gfp); AWA: pkIs583(gpa-6::gfp). Panels show representative images from three animals in wild type and fkh-8(vlc43) mutant backgrounds. Cilium length of CEP and AWB neurons is significantly reduced in the absence of FKH-8 whereas ADF cilia length is increased. Depth of AWA cilium arborization is significantly reduced in fkh-8(vlc43) null mutants. Each dot in the graphs represents measures for a single cilium. Mean and standard error are represented. See Figure 5—figure supplement 1 for cilia morphology analysis in worms immobilized in polystyrene beads and Figure 5—source data 1 for raw data and statistics. CEP and AWB n=40; ADF n=32; AWA n=7.

Figure 5—source data 1. Raw quantification data of cilia morphology analysis depicted in Figure 5 and Figure 5—figure supplement 1.

Figure 5.

Figure 5—figure supplement 1. fkh-8(vlc43) null mutants display morphological defects in cilia using physical immobilization with polystyrene beads.

Figure 5—figure supplement 1.

Integrated reporters unaffected in fkh-8 mutant are used to label the cilia of several distinct subpopulations of ciliated neurons. CEP: otIs259(dat-1::gfp); ADF: zdIs13(tph-1::gfp); AWB: kyIs104(str-1::gfp); AWA: pkIs583(gpa-6::gfp). Panels show representative images from wild type and fkh-8(vlc43) mutant backgrounds. Cilium length of CEP ADF and PHB is significantly reduced in the absence of FKH-8, whereas AWB cilia length is unaffected. Mean and standard error are represented. Please note that different fixation methods are used compared to Figure 5. CEP, AWB: n≥50, ADF: n≥30, PHB: n≥28.

To discard cilia morphology defects were caused by selective effects in the mutants of sodium azide (used to paralize worms) we treated worms with levamisole. Unexpectedly, we found fkh-8(vlc43) mutants are resistant to this drug. Of note, daf-19 mutants are also levamisole resistant (Senti et al., 2008), which suggest this phenotype for both mutants could be related to their ciliogenic functions. Alternatively, we used polystyrene beads to physically immobilized worms. We found that cilia morphology defects were also present in fkh-8(vlc43) mutants using this method (Figure 5—figure supplement 1). Thus, FKH-8 is necessary to regulate correct cilium length and morphology in diverse types of ciliated neurons.

fkh-8 mutants display defects in a wide range of cilia mediated behaviors

In C. elegans cilia are necessary to mediate sensory functions (Bargmann, 1993); thus, we interrogated fkh-8 mutants with a battery of sensory paradigms.

fkh-8 mutants respond similarly to wild type animals to body gentle touch stimuli, which are mediated by not ciliated neurons (Chalfie and Sulston, 1981; Figure 6—figure supplement 1), discarding general response or locomotory defects in fkh-8 mutants. Response to posterior harsh touch, which is redundantly mediated by ciliated PDE and non-ciliated PVD neurons (Li et al., 2011) is also unaffected in fkh-8(tm292) and fkh-8(vlc43) animals, suggesting FKH-8 is not required to mediate this mechanosensory behavior (Figure 6—figure supplement 1).

We tested two additional mechanosensory behaviors mediated only by ciliated sensory neurons: basal slowing response, mediated by dopaminergic ciliated neurons (Sawin et al., 2000) and nose touch, mediated by ASH, FLP and OLQ ciliated neurons (Kaplan and Horvitz, 1993). No defects on basal slowing response are found in fkh-8(vlc43) null mutants, while both fkh-8 alleles are defective for nose touch responses (Figure 6A and B, Figure 6—source data 1). vlc43 null allele shows stronger defects than tm292 allele, supporting the hypomorphic nature of tm292 allele (Figure 6A, Figure 6—source data 1). fkh-8(vlc43) animals are slightly but significantly dauer constitutive at 27 °C compared to N2 controls (Figure 6C, Figure 6—source data 1), which might indicate fkh-8 mutants show defects in preventing dauer entry, a process mediated by ADF, ASI, and ASG ciliated neurons (Bargmann and Horvitz, 1991). Moreover, exposure to pheromones induces dauer entry in fkh-8(vlc43) animals less efficiently than in wild type animals [sixfold induction in wild type versus threefold induction in fkh-8(vlc43) animals; Figure 6C, Figure 6—source data 1], suggesting FKH-8 could also be required for correct dauer entry, which is mediated by ASJ ciliated neuron (Bargmann and Horvitz, 1991).

Figure 6. FKH-8 is required for the correct display of several sensory mediated behaviors.

(A) Mutations in fkh-8 significantly impair appropriate backward response to nose touch, revealing functionality defects for the ASH, FLP and/or OLQ ciliated neurons. This phenotype is stronger in fkh-8(vlc43) null mutants than in the hypomorphic tm292 allele. n=20 animals per replicate, three biological replicates per genotype. (B) Decrease in locomotory rate upon re-entering a bacterial lawn is unaffected in fkh-8 mutants. n=15 worms per genotype and condition. (C) fkh-8 null mutants significantly fail to prevent dauer entry. Pheromones induce dauer in fkh-8 mutants, albeit less efficiently than in controls. Four biological replicates n>295 per replicate and genotype. (D to F) Lack of fkh-8 significantly impairs olfaction-mediated behaviors. Defects are observed for 2-nonanone repulsion mediated by AWB [Wild type n=59, 128, 114, 165; fkh-8(tm292) n=76, 123, 129, 209 and fkh-8(vlc43) n=82, 92, 130, 139] and 2-heptanone attraction mediated by AWC neurons [Wild type n=124, 129, 133; fkh-8(tm292) n=68, 94, 102 and fkh-8(vlc43) n=87, 83, 85]. Diacetyl response, mediated by AWA, is affected but not to a significant level due to high variability in the response [Wild type n=168, 69, 103; fkh-8(tm292) n=57, 85, 110 and fkh-8(vlc43) n=115, 107, 74]. (G to I) Attractive chemotaxis towards NaCl is unaffected in fkh-8 mutant animals. [Wild type n=62, 78, 72; fkh-8(tm292) n=105, 116, 106 and fkh-8(vlc43) n=111, 52, 78]. Avoidance behavior towards toxic SDS and copper anions is significantly impaired. [Six biological replicates, 5 worms per replicate and genotype, 4 tests per worm]. Mean and standard error are represented in all graphs. See Figure 6—figure supplement 1 for quantification of non-cilia mediated behaviors and Figure 6—source data 1 for raw data and statistics.

Figure 6—source data 1. Raw quantification data for behavioral analysis in Figure 6 and Figure 6—figure supplement 1.

Figure 6.

Figure 6—figure supplement 1. FKH-8 is not required for correct display of mechanosensory behaviors mediated by non-ciliated neurons.

Figure 6—figure supplement 1.

(A to C) fkh-8 mutants show normal avoidance behaviors elicited by mechanical stimuli known as gentle touch and harsh touch paradigms, suggesting FKH-8 is not required for the correct functionality of non-ciliated neurons ALM, AVM, PLM, and PVD. Redundant actions of PVD and PDE controlling scape response to harsh touch prevent to assess defects about the functionality of ciliated PDE neurons. Mean and standard error for three independent replicates are represented. See Figure 6—source data 1 for raw data. n=60 worms per genotype.

fkh-8(vlc43) null mutants, but not tm292 allele, show significant odor avoidance defects to 2-nonanone (AWB mediated) and defective odor attraction to 2-heptanone (mediated by AWC; Figure 6D and E, Figure 6—source data 1; Bargmann et al., 1993; Troemel et al., 1997). Diacetyl attraction, which is mediated by AWA (Sengupta et al., 1996), is also decreased in fkh-8(vlc43) animals, although not significantly, due to high standard deviation values (Figure 6F, Figure 6—source data 1).

Finally, we tested gustatory responses to NaCl, Sodium Dodecyl Sulfate (SDS) and copper. fkh-8 mutants are attracted to NaCl similar to N2 controls, a response that is mediated mainly by ASE ciliated neurons (Bargmann and Horvitz, 1991; Figure 6G, Figure 6—source data 1). In contrast, avoidance response to SDS, mediated by ASH and ASK ciliated neurons (Hilliard et al., 2002) and avoidance to copper, mediated by ASH, ASE, ADF and ADL ciliated neurons (Guo et al., 2015; Sambongi et al., 1999), were significantly reduced both in fkh-8(vlc43) and fkh-8(tm292) animals (Figure 6H,I, Figure 6—source data 1).

In summary, our battery of behavioral assays reveals FKH-8 is necessary for the correct response to a wide range of sensory stimuli (mechanical, gustatory or olfactory) that are mediated by different types of ciliated neurons (ADF, ADL, ASE, ASG, ASH, ASI, ASJ, ASK, AWB, AWC, FLP, and OLQ). Some neurons controlling affected behaviors show corresponding morphological cilia defects in fkh-8 mutants, such as ADF, AWA, and AWB neurons. Nevertheless, we found that specific behaviors, such as attraction to NaCl or basal slowing response are sustained in fkh-8 mutants, suggesting retained sensory functions for particular neuron types, even with gene expression or morphological cilia defects (such as CEPs).

Mouse FOXJ1 and FOXN4, master regulators of motile ciliome, can functionally replace FKH-8

Vertebrate FKH family is composed of 49 different members divided into 16 subfamilies (Shimeld et al., 2010). The establishment of specific orthology relationships between FKH members is challenging among distant species (Shimeld et al., 2010), precluding the direct assignment of the closest vertebrate ortholog for C. elegans FKH-8.

To date, no vertebrate FKH TF has been shown to be involved in ciliogenesis in primary cilia cell types. Nevertheless, in several vertebrate cell types that contain motile cilia, FoxJ1 FKH TF directly activates ciliome gene expression (Brody et al., 2000; Chen et al., 1998; Stubbs et al., 2008; Vij et al., 2012; Yu et al., 2008). Thus, considering its role in ciliogenesis, we next wondered if mouse FOXJ1 could functionally substitute FKH-8 in C. elegans. We find this to be the case as FoxJ1 cDNA expression under the dopaminergic promoter dat-1 rescues ift-20 expression similarly to fkh-8 cDNA (Figure 7A-C and Figure 7—source data 1). In Xenopus, another FKH TF, FoxN4, binds similar genomic regions to FoxJ1 and it is also required for direct ciliome gene expression in motile multiciliated cells (Campbell et al., 2016). We find FoxN4 expression also rescues ift-20 expression defects in fkh-8(vlc43) animals. Importantly, we find that conserved functionality is not observed for any vertebrate FKH TFs as expression of mouse FoxI1, a FKH TF involved in the development of several tissues but not reported to control cilia gene expression (Edlund et al., 2015), does not rescue fkh-8 mutant phenotype.

Figure 7. Mammalian FKH TFs with known motile cilia regulatory functions can rescue fkh-8 mutant phenotype.

Figure 7.

(A) Rescue strategy: dat-1 promoter, unaffected in fkh-8 mutants, is used to drive FKH TF cDNA and eGFP expression specifically in the dopaminergic ciliated system. (B) Representative images of dopaminergic neurons expressing an integrated reporter for the core ciliome marker ift-20 (in red) in wild type, fkh-8(vlc43) mutants and with the co-expression of different rescuing constructs. Scale bar = 5 µm. (C) Quantification of rescue experiments. ift-20 reporter expression is lost from the dopaminergic neurons in fkh-8(vlc43) null mutants compared to wild type animals. Expression of FKH-8, FOXJ1, and FOXN4 but not FOXI1 is sufficient to recover ift-20 expression in dopaminergic neurons. N=30 animals per transgenic line. See Figure 7—source data 1 for raw data and similar results obtained with two additional transgenic lines per construct. (D) Speculative model on the evolution of ciliome gene regulatory logic. FKH and RFX TFs could have an ancestral role in the direct coregulation of ciliome genes before its functional diversification into motile and primary cilia cell types. Different RFX and FKH TF members could have evolved to regulate ciliome genes in specific cell types in different organisms. Orange squares represent FKH TFs and blue circles RFX TFs, light blue bars represent ciliome enhancers.

Figure 7—source data 1. Raw quantification data for rescuing experiments in Figure 7.

In summary, our results unravel the functional conservation between FKH-8 and specific mouse members of the FKH family, which have already been described to act together with RFX TFs in the regulation of ciliome gene expression in motile cilia cell types.

Discussion

FKH-8 acts together with DAF-19 in the direct regulation of ciliome gene expression in sensory neurons

RFX are the only TFs known to be involved in the direct coregulation of ciliome gene expression both in cell types with motile and sensory cilia. This role is conserved in nematodes, flies and vertebrates (Choksi et al., 2014). In this work we characterized the persistent activity of ciliome gene reporters in daf-19/RFX null mutants, demonstrating that, in some specific cellular contexts, DAF-19/RFX is not necessary to drive ciliome gene expression. DAF-19 is the only RFX TF in C. elegans; thus, persistent enhancer activity must be attributed to other TF families.

A multi-angled approach allowed us to identify FKH-8 as a key regulator of ciliome gene expression in most, if not all, sensory neurons in C. elegans. FHK-8 is expressed almost exclusively in all ciliated neurons and binds to upstream regions of many ciliome genes. fkh-8 mutants show decreased levels of ciliome reporter gene expression, abnormal cilia morphology and defects in a plethora of behaviors mediated by sensory ciliated neurons. Finally, mutations in putative FKH binding sites for two ciliome reporters lead to expression defects, further supporting the direct action of FKH-8 in ciliome gene expression. Altogether, our results show that FKH-8 has a key role in regulating ciliogenesis in sensory neurons and thus represents the first identified TF in any organism that acts together with RFX in cell types with non-motile primary cilia.

In the past, the identification of direct targets of RFX TFs has been instrumental in the identification of new ciliome components, which lead to a better understanding of cilia function and the etiology of ciliopathies (Blacque et al., 2005; Chen et al., 2006; Efimenko et al., 2005; Li et al., 2004; Schiebinger et al., 2019). FKH-8 binds to many genes in the C. elegans genome, some of them with uncharacterized functions; thus, similar to RFX, a more exhaustive characterization of FKH-8 targets could be used to uncover novel components of the sensory ciliome.

Specific DAF-19 isoforms repress fkh-8 expression in non-ciliated neurons

Interestingly, our results show that DAF-19A and B isoforms repress (directly or indirectly) fkh-8 expression in non-sensory neurons. Repression of alternative fates is a prevalent feature in neuronal development (Sousa and Flames, 2022). Repressive actions for DAF-19A/B have also been recently reported (De Stasio et al., 2018). Our results show that some ciliome components, such as kap-1 can be upregulated in daf-19 mutants even in the absence of FKH-8, thus DAF-19A/B repression of fkh-8 might be necessary to avoid ectopic expression of some ciliome components but not others.

Role of FKH TFs in the transcriptional regulation of ciliome genes both in motile and sensory cilia cell types

Although TFs acting together with RFX in the regulation of ciliogenesis in sensory cell types were previously unknown, RFX TFs act in concert with the FKH TF FOXJ1 in the direct regulation of ciliome genes in different vertebrate cell types with motile cilia (Choksi et al., 2014).

Vertebrate sensory ciliogenesis has been reported to be unaffected in FoxJ1 loss of function mutants (Choksi et al., 2014); thus, FoxJ1 role as a master regulator of ciliogenesis seems restricted to motile ciliary cell types. Interestingly, a recent report indicates that both zebrafish and mouse FoxJ1 mutants display ciliary defects in Olfactory Sensory Neurons, which display an atypical 9+2 sensory cillium (Rayamajhi et al., 2023). In Xenopus, FoxN4 binds similar genomic regions to FoxJ1 and it is also required for motile ciliome gene expression (Campbell et al., 2016). We find both FOXJ1 and FOXN4, but not FOXI1, which has not been described to be involved in ciliogenesis, are able to functionally substitute FKH-8. In C. elegans, another FKH TF, FKH-2, is a downstream target of DAF-19 that controls expression of some ciliome components and cilium morphogenesis specifically in AWB neurons (Mukhopadhyay et al., 2007). Finally, in Drosophila melanogaster, fd3F FKH transcription factor directly regulates expression of several ciliome genes in the chordotonal neurons that contain atypical cilia with both sensory and motile functions (Newton et al., 2012). Altogether, this data suggests that specific FKH TFs might have the capacity to act as direct ciliome regulators, independently of being expressed in motile or sensory cilia cell types.

Importantly, vertebrate sensory ciliogenesis is unaffected in FoxJ1 loss of function mutants (Choksi et al., 2014); thus, FoxJ1 role as a master regulator of ciliogenesis is restricted to motile ciliary cell types. In Xenopus, FoxN4 binds similar genomic regions to FoxJ1 and it is also required for motile ciliome gene expression (Campbell et al., 2016). We find both FOXJ1 and FOXN4, but not FOXI1, which has not been described to be involved in ciliogenesis, are able to functionally substitute FKH-8. In C. elegans, another FKH TF, FKH-2, is a downstream target of DAF-19 that controls expression of some ciliome components and cilium morphogenesis specifically in AWB neurons (Mukhopadhyay et al., 2007). Altogether, this data suggests that specific FKH TFs might have the capacity to act as direct ciliome regulators, independently of being expressed in motile or sensory cilia cell types.

FKH-8 and DAF-19 show synergistic actions

FKH-8 bound regions are enriched for X-box/RFX sites, FKH-8 and DAF-19 physically interact and double mutant analysis shows synergistic effects between daf-19/RFX and fkh-8, altogether these data suggest DAF-19 and FKH-8 cooperate in the regulation of a common set of regulatory regions. Cooperativity between FKH and RFX has been reported in vertebrates, in motile multiciliated cells of Xenopus larval skin FOXJ1 binding to ciliome gene promoters depends on the presence of RFX2 (Quigley and Kintner, 2017). In addition, in human airway multiciliated epithelial cell, RFX3 and FOXJ1 act synergistically in the activation of ciliome genes (Didon et al., 2013).

Importantly, cooperative actions of DAF-19 and FKH-8 seem prevalent for core ciliome components while several sub-type specific ciliome genes are known targets for neuron-type-specific terminal selectors (Etchberger et al., 2007; Flames and Hobert, 2009; Zhang et al., 2014).

Evolution of cilia subtype specialization and ciliome regulatory logic

Ancestral cilium present in the last common eukaryotic ancestor has been proposed to combine motile and sensory functions (Mitchell, 2017). RFX role regulating ciliome expression predates the emergence of metazoans, where major cell type diversification has occurred (Chu et al., 2010; Piasecki et al., 2010). FoxJ and FoxN constitute the most ancient FKH sub-families, present in choanoflagelate Monosiga brevicolis, while FoxI subfamily is only present in bilaterians (Shimeld et al., 2010). Moreover, the ability of RFX and FKH TFs to bind similar genomic regions is not limited to metazoans and it is also present in fungi. For example, in Schizosaccharomyces pombe, which lacks cilia and ciliome genes, Fkh2 FKH TF and Sak1 RFX TF bind the same regulatory regions to control cell cycle gene expression (Garg et al., 2015), suggesting that the joint actions for these TFs could be present before the split of fungi and metazoans. Alternatively, RFX and FKH TFs might have an inherent ability to cooperate that could explain convergent evolution of these TFs in ciliome regulation both in sensory and motile cilia cell types (Sorrells et al., 2018).

In light of these data, we hypothesize that RFX and FKH role as co-regulators of ciliome gene expression could precede the emergence of cilia division of labor and the specialization of motile and sensory cilium in different cell types (Figure 7D).

Role of FKH TFs in ciliome regulation of primary cilia cell types

Regardless of the evolutionary history of events underlying RFX and FKH functions as direct regulators of ciliome gene expression, our results raise the possibility that, in vertebrates, yet unidentified FKH TFs could act together with RFX in the regulation of ciliome gene expression in sensory ciliated cell types (Figure 7D). The establishment of specific orthology relationships between FKH members among distant species is challenging (Larroux et al., 2008; Shimeld et al., 2010) precluding the direct assignment of the closest vertebrate ortholog for C. elegans FKH-8. In addition, functional paralog substitutions among TFs of the same family have been described to occur in evolution (Tarashansky et al., 2021). Importantly, although FoxJ1 and FoxN4 mutants do not show major ciliome gene expression defects in non-motile ciliated cell types (Brody et al., 2000; Campbell et al., 2016; Chen et al., 1998; Stubbs et al., 2008; Yu et al., 2008) a recent report describes ciliary defects in vertebrate Olfactory Sensory Neurons in Foxj1 mutants (Rayamajhi et al., 2023). Other members of FoxJ and FoxN subfamilies are broadly expressed in mouse neurons, which all display primary cilia (Zeisel et al., 2018). It will be important, in future studies, to determine if additional FoxJ and FoxN TFs can rescue fkh-8 expression defects in C. elegans and if they display similar roles in mammals. These studies could also help better characterize the functional meaning of non-coding mutations associated to orphan ciliopathies.

Methods

Materials availability

Newly generated strains are listed in Supplementary file 1 and accessible through Caenorhabditis Genetics Center (CGC). Plasmids are available upon request.

C. elegans strains and genetics

C. elegans culture and genetics were performed as previously described (Brenner, 1974). Strains used in this study are listed in Supplementary file 1.

Mutant strain genotyping

Mutant strains used in this study are listed in Supplementary file 1. Deletion alleles were genotyped by PCR. Presence of daf-19(m86) allele was determined by visual inspection of the dye-filling defective phenotype of homozygous mutants. Presence of daf-12(sa204) allele was ensured through a double-cross strategy, crossing of F1 males with original daf-12(sa204)X mutants. Strains carrying point mutations were genotyped by sequencing. Genotyping primers are included in Supplementary file 1.

DiD staining

Lipophilic dye filling assays were performed with the 1,1′-dioctadecyl-3,3,3′,3′-tetramethylindodicarbocyanine, 4-chlorobenzenesulfonate salt (DiD) (Thermofisher, #D7757). DiD staining solution was freshly prepared prior to every assay as a 1:200 dilution of the DiD stock solution [2 mg/mL dilution in N,N-dimethyl formamide (Sigma, #D4551)] in M9 1 X buffer. Animals were transferred into 1.5 mL tubes containing 200 μL of the DiD staining solution and incubated (wrapped in aluminium foil) for 2 hr at room temperature in an orbital shaker in a horizontal position. Animals were collected with a glass Pasteur and transferred to fresh NGM plates. Robust identification of the ASK, ADL, ASI, AWB, ASH, ASJ, PHA and PHB ciliated neurons was achieved through this method.

Generation of C. elegans transgenic lines

Fluorescent reporters for ciliome genes were generated through fusion PCR (Hobert, 2002). To facilitate identification and scoring of reporter-expressing cells, GFP was tagged to the cell’s nucleus employing a modified sequence of the classical SV40 large T antigen nuclear localizing signal (NLS) (Kalderon et al., 1984). Regulatory sequences were amplified with custom oligonucleotides from N2 genomic DNA preparations. An independent PCR was used to amplify the 2xNLS::GFP::unc-54 3’UTR fragment from an NLS version of the pPD95·75 plasmid (pNF400). Successfully fused PCR products were purified using the QIAquick PCR Purification Kit (QIAGEN, #28106) and resuspended in nuclease-free water (Sigma, #W4502).

Mutated versions for the xbx-1 and ift-20 promoters were generated as PCR products by introducing the desired mutation of putative FKH sites within the corresponding custom primers. Putative FKH sites were identified through the single sequence scan tool from the CIS-BP website (Weirauch et al., 2014). Mutation criteria accounted for the nature of the nitrogenous bases and the number of hydrogen bonds they could form; thus, A was mutated to C and G was mutated to T (and vice versa). Mutated sequences were checked to discard the generation of new TF binding site motifs using both the motif scan tool of the CIS-BP database and the Tomtom tool (Gupta et al., 2007) from the MEME Suite website. When designed mutations created potential new TF binding sites manual punctual mutations were applied to disrupt those potential sites.

To generate FKH-8 rescuing plasmids, constructs containing the cDNA of the corresponding FKH TF fused to the self-cleaving peptide T2A (Ahier and Jarriault, 2014) and the eGFP cDNA from the pPD95.75 plasmid were created. Such constructs were then cloned under the control of the dopaminergic dat-1 promoter between the KpnI/XhoI sites of the pPD95.75 backbone vector. fkh-8 cDNA sequence was synthetically generated (Biomatik). Murine FKH members were obtained as Dharmacon clones (FoxJ1: MMM1013-202732974, FoxN4: MMM1013-211694291, FoxI1: MMM1013-202763055).

Simple-array transgenic lines were generated by intragonadal microinjection into strains of the appropriated genotype. The injection mix was composed by 50 ng/µL of a given purified fusion PCR or a rescuing plasmid plus 100 ng/µL of the pFR4 plasmid, rol-6(su1006), as a co-marker (Mello et al., 1991).

Generation of C. elegans mutations

Whole deletion of the fkh-8 locus was performed through a co-CRISPR strategy (Kim et al., 2014) using dpy-10(cn64) as conversion marker (Arribere et al., 2014). Custom CRISPR RNAs (crRNAs) were ordered (IDT, Alt-R CRISPR-Cas9 crRNA XT) targeting both sides of the desired deletion of fkh-8 and at the 5’ of the dpy-10 site of mutation. Single-stranded oligodeoxynucleotide (ssODNs) of approximately 100 base pairs overlapping each side of the genetic modifications were also ordered (IDT) and used as donor templates to achieve homology-directed repair. Cas9 nuclease (IDT, #1081058) and the universal trans-activating crRNA (tracrRNA) needed to initiate enzymatic activity (IDT, #1072532) were used. co-CRISPR injections were performed on young adult hermaphrodites expressing the reporter otIs395(ift-20::NLS::tagRFP)III. Microinjection mix was freshly prepared with all 3 crRNAs plus the tracrRNA, ssODNs and Cas9 nuclease. Ribonucleoprotein complex formation was achieved by incubating this mix for 10 min at 37°C. Before use, the final mix was incubated on ice for 30 min. daf-19(of5) was generated by CRISPR deletion of 9 bp that include the ATG for the daf-19 a and daf-19 b isoforms and inserting a guanine nucleotide N2 sequence: GGCAGAGAAGAAAGTCATGACCAATGAGGAGCC; of5 sequence GGCAGAGAAGAAAGgATGAGGAGCC. Knock-in strain PHX6528 [osm-5(syb6528), osm-5::SL2::GFP::H2B] was generated by SunyBiotech’s CRISPR services. All custom primer sequences and concentrations used for the generation of the aforementioned strains are included in the Supplementary file 1.

Behavioral assays

Unless otherwise stated, all mechano- and chemosensory assays were performed over small-scale synchronized populations of young adult hermaphrodites.

Nose touch tests were performed as previously described (Kaplan and Horvitz, 1993). Ten minutes before the assay, young adult hermaphrodites were transferred to non-seeded NGM agar plates and nose touch responses were elicited by causing a nose-on collision placing an eyelash attached to a pipette tip in the path of an animal moving forward. With brief modifications from Brockie et al., 2001, five consecutive nose touch trials were scored for each worm.

Both gentle and harsh touch mechanosensory tests were performed as previously described (Chalfie et al., 1985). Briefly, gentle touch assays were performed by alternatively stroking the animal just behind the pharynx and just before the anus with an eyebrow hair attached to a pipette tip for a total amount of 10 strokes (Hobert et al., 1999). Harsh touch assays were also performed by stroking the worms across the posterior half of their bodies in a top-down manner with a platinum wire. Each worm was tested five times with a 2 min interval between each trial (Li et al., 2011).

For all aforementioned mechanosensory assays, escape responses of trailed animals were recorded and a population response index (RI) was calculated for every replica as: RI = total number of escape responses / total amount of strokes Chemotaxis towards diacetyl, 2-heptanone, NaCl and 2-nonanone were performed over three times freshly washed worms with 1 mL of filtered, autoclaved CTX solution, aspirating the supernatant to a final volume of approximately 100 μL. Two μL of this worm-containing solution were placed at the proper place of the assay plates. During the assays, worms were allowed to freely crawl across the plates for 60 min at room temperature and then stored at 4 °C until the next day when worms’ positions were scored and behavioral indexes were calculated.

With few modifications, volatile diacetyl attraction assay was performed as described by Margie et al., 2013. A four-quadrant paradigm drawn at the base of non-seeded NGM agar plates was used, adding a 1 cm circular central area that worms had to trespass to be scored. Stock diacetyl (Sigma-Aldrich, #803528) test solution was prepared as a 0.5% V/V mix in absolute ethanol (Scharlau, #ET00101000). Absolute ethanol was used as control solution. Immediately after the worms were plated, 2 μL of a mix combining equal volumes of diacetyl stock solution and sodium azide 1 M were pipetted onto the 2 test sites (T) of the agar plate. Same procedure was then performed for the 2 control sites (C). Chemotaxis index (CI) was then calculated as: CI = (worms in (T1 +T2) - worms in (C1 +C2)) / total scored worms.

Chemotaxis assay towards 2-heptanone was performed as previously reported (Zhang et al., 2016). A two-halves paradigm was used, adding the threshold distance by Margie et al., 2013 to prevent immobile worms from skewing the data. 2-Heptanone (Sigma-Aldrich, #W254401) test solution was prepared as a 1:10 V/V mix in ethanol absolute. Ethanol was used as control solution. Immediately after the worms were plated, 3 μL of a mix combining equal volumes of 2-heptanone stock solution and sodium azide 1 M were pipetted onto the test site (T) of the agar plate. Same procedure was follow to the control site (C). CI was calculated: CI = (worms in T - worms in C) / total scored worms.

Chemotaxis toward NaCl was also performed of a two-halves paradigm. Radial gradients of either test or control solutions were created prior to worm loading as originally stated (Ward 1973). Following (Frøkjaer-Jensen et al., 2008), 10 μL of NaCl (Sigma, #S3014-1KG) 2.5 M (dissolved in double distilled water (ddH2O)) or ddH2O itself were respectively pipetted onto the agar surface at T and C spots and allowed to diffuse for 12–14 hr at room temperature. To increase steepness of the gradients, 4 μL of NaCl 2.5 M or ddH2O solutions were additionally added to the T and C spots respectively 4 hr prior to the chemotaxis assay. Chemotaxis indexes for two-halves paradigm assays were calculated as: CI = (worms in T - worms in C) / total scored worms.

Avoidance assay towards 2-nonanone was performed as previously reported (Troemel et al., 1997). Briefly, six equal sectors labeled as A, B, C, D, E, and F were drawn on the base of squared plates (90x15 mm, Simport, # 11690950) containing 15 mL of standard NGM agar. Stock 2-nonanone (Sigma-Aldrich, #W278550) test solution was prepared as a 1:10 V/V mix in absolute ethanol. Ethanol was used as control solution. Immediately after the worms were plated on the centre of the plate, 2 μL of a mix combining equal volumes of 2-nonanone stock solution and sodium azide 1 M were pipetted onto two spots within peripheral test sector A. Same procedure was then performed for the ethanol control sites within sector opposite peripheral control sector F. Population avoidance index (AI) was calculated as: AI = (worms in (A+B) - worms in (E+F)) / total amount of worms.

Avoidance responses to water-soluble compounds were evaluated using the drop test as previously described Hilliard et al., 2004 following a few modifications. Well-fed synchronized young adult hermaphrodites were washed three times with M13 buffer, 5 animals were then placed on unseeded NGM agar plates and allowed to rest for 10 min. Two test solutions were assayed: 0.1% W/V sodium dodecyl sulfate (SDS) (Sigma, #L3771-100G) and 0.1 mM CuSO4 pentahydrate (Merck, #1027901000), both dissolved in the M13 buffer that acted as control solution. Each animal was tested first with 4 single drops of the control solution and then with 4 single drops of the testing solution, allowing for 2 min of recovery between each stimulus. Avoidance response was scored within 4 s after substance delivery. Population avoidance index (AI) per genotype and replica was calculated as: AI = number of responses / total amount of drops.

Dauer induction was performed using filtered liquid culture obtained from wild type worms grown at 7 worms/μl for 4 days. Briefly, 300 μl of pheromone containing extracts or control extracts (culture media alone) were added to 60 mm OP50-seeded NGM plates. After drying, 10 gravid worms were added and allowed to lay eggs for 18 hr and then removed from the plates. Seventy-two h later, resulting P0 worms were scored and percentage of dauer animals determined for each condition. Dauer induction was carried at 27 °C in four independent experiments performed in parallel with wild type and fkh-8(vlc43) mutant worms.

Basal slowing response was performed with few modifications as previously reported (Sawin et al., 2000). In this case, 60 mm NGM plates in which HB101 was seeded in only one half of the plate were used. Briefly, well-feed worms were 3 times washed with 1 mL of filtered, autoclaved CTX solution, supernatant aspirated to a final volume of approximately 200 μL and 2 μL of this worm-containing solution (with no less than 10 animals) was placed at the non-seed part of pre-warmed assay plates. Free movement of the worms across the plates was recorded capturing 30 frames per second. Body beds per 20 s intervals were counted from same worms moving on agar and crawling across the bacterial lawn.

Sample size, tested genotypes, number of animals and number of replicates performed per assay are detailed in the corresponding figure legends and in-source data Files. All strains used for these behavioral studies are listed in Supplementary file 1.

Co-immunoprecipitation experiments

Human optimized sequences for FLAG:DAF-19 and HA:FKH-8 were cloned into PCDNA3.1 plasmid. A 10 cm plate of HEK293 cells (Human 293T, ATCC CRL-3216, authenticated by microsatellite amplification, Secugen, tested micoplasm negative) was transfected with 5 µg of each plasmid. At 48 hr post-transfection cells were washed three times with ice-cold PBS and lysed for 10 min on ice with 200 µl of cytoplasmic fractionation buffer containing 10 mM Hepes pH 7.9; 10 mM KCl; 1.5 mM MgCl2; 0.34 M sucrose, 10%glycerol; 1 mM DTT; 5 ug/ml protease inhibitor; 0.1 mM PSMF and 0.1% Triton X-100 from a 10% stock. Cells were centrifuged at 3500 rpm for 4 min at 4 °C. The supernatant (cytoplasmic fraction), was collected and clarified by centrifugation (15 min 14,000 rpm at 4 °C).

The pellet (nuclei fraction) was lysed for 30 min on ice with 100 µl of nuclear fractionation buffer comprising 10 mM Hepes pH 7.9, 3 mM EDTA, 0.5 mM NaF, 0.2 mM EGTA, 1 mM DTT; 5 ug/ml protease inhibitor and 0.1 mM PSMF. The fraction was homogenized, incubated for 10 min on ice and centrifuged at 4000 rpm for 4 min at 4 °C. The supernatant (soluble nuclear fraction), was collected. The pellet (chromatin fraction) was resuspended with 300 µl of nuclear fractionation buffer and was sonicated for 15–20 s (25% amplitude).

Total protein concentration of soluble cytoplasmic fraction, soluble nuclear fraction and chromatin fraction were used for coimmunoprecipitation assays. The association between DAF-19 and FKH-8 was analyzed by coimmunoprecipitation using anti-HA magnetic beads (bimake.com). Cytoplasmic and nuclear fractions were incubated with 10 µl of magnetic beads overnight at 4 °C with rotation. The beads were separated by a magnetic separator and washed three times in 500 µl TNE buffer 0.1% Triton X-100. Finally, for reducing SDS-PAGE analysis, 30 µl 2xLaemmli buffer (with 2% ß-MeOH) was added and the samples were boiled for 5 min at 96 ° C. Anti-mouse Light chain-specific secondary antibodies (Jackson Immunoresearch ref: 115-655-174) were used for detection since the heavy chain from the immunoprecipitation would mask the FKH-8 signal [anti-HA antibody (Biolegend 901501), anti-FLAG antibody (Sigma, F1804)]. Cytoplasmic and nuclear fractions were controlled using antibodies against MEK2 (Becton Dickinson, 610235), marker for cytoplasmic fraction and histone H3, marker for chromatin associated fraction (Abcam ab1791).

Microscopy

For scoring and image acquisition, worms were anesthetized with a drop of 0.5 M sodium azide (Sigma, #26628-22-8) on 4% agarose pads (diluted in distilled water) placed over a regular microscope glass slide (Rogo Sampaic, #11854782). These preparations were sealed with a 24x60 mm coverslip (RS France, #BPD025) and animals were then conveniently examined.

Scoring of ciliome features was performed observing the animals on a Zeiss Axioplan 2 microscope using a 63 X objective. Assessment of fluorescence signal on PDE and Phasmid regions was performed de visu. To appropriately assess number of cells in the head, optical sections containing the volume of reporter-positive neurons in the head of the animals were acquired at 1 μm intervals and images were manually scored using FIJI (Schindelin et al., 2012). Reporters used in the FKH cis-mutational analyses (both wild type and mutated forms) were scored de visu as the low intensity and fast bleaching in their signals precluded us from taking pictures.

Fluorescence intensity levels from the endogenous osm-5::SL2::GFP::H2B reporter strain were measured on young adult animals grown at 25 °C. All images were acquired with a TCS-SP8 Leica Microsystems confocal microscope using a 63 X objective on animals immobilized as previously described. Image acquisition was optimized considering the appropriate no saturating conditions for the wild type background. To avoid a possible bias induced by the volume of the worm’s body, dat-1::cherry reporter was used to select a single section for the PDE, CEPV, CEPD and ADE nuclei and was used for osm-5::GFP fluorescence quantification. The contour of each nucleus was delineated and fluorescence intensity quantified using FIJI. For each cell, corrected total cell fluorescence was calculated as follows: Integrated Density – (Area of selected cell X Mean fluorescence of background reading).

For cilia morphology assessment, 0.5 M sodium azide was used as an immobilization agent image acquisition was performed with a TCS-SP8 Leica Microsystems confocal microscope using a 63 X objective. The following conditions of optical sections (μm) were used: CEP: 0.4 μm; ADF: 0.2; AWB: 0.24; AWC: 0.3. Retrieved images were z-projected at maximum intensity (Leica LAS X LS) and linear adjustment for brightness and contrast was performed prior to cilia length quantification (N≥32 cilia per neuron type; FIJI). AWA analysis was performed from images acquired from dorsoventrally positioned animals (N=7) in which both cilia were levelled and depth of arborisation was estimated from the volume containing all the optical sections (0.3 μm) in which fluorescence signal was observed. Ciliary morphology was also measured on animals immobilized as previously reported (Niwa, 2017) using 10% (w/v) agarose pads and 2.5% solids (w/v) aqueous suspension of polystyrene microspheres with 100 nm of diameter (Polysciences, #00876–15). Optical sections containing the volume of reporter-positive cilia were acquired at 0.3 μm intervals. Images were z-projected at maximum intensity (Leica LAS X LS) and linear adjustment for brightness and contrast was performed prior to ciliary length quantification (N≥30 cilia per neuron type) (FIJI).

All micrographs presented in this paper were acquired with a TCS-SP8 Leica Microsystems confocal microscope using a 63 X objective and appropriate zooming conditions.

Statistical analyses

Statistical significance for the mean number of reporter-positive neurons in whole animals among different genetic backgrounds was assessed by two-tailed t-test. Inbuilt Excel functions F.TEST and T.TEST were used and obtained p-values were adjusted through Bonferroni correction accounting for all possible pairwise comparisons in each experiment.

To increase for statistical power, statistical significance for the mean number of reporter-positive neurons in the five distinct anatomical regions containing ciliated neurons among different genetic backgrounds was assessed by one-tailed t-test. Obtained p-values were then adjusted through the Benjamini-Hochberg procedure setting α level at 0.05. This same procedure was used to assess for statistical significance within the dauer induction experiments.

Unless otherwise stated, same two-tailed t-test procedure was followed in the assessment of statistical significance in behavioral experiment. Behavioral responses were ultimately analysed through the corresponding indexes ranging from 0 to 1 (or to –1–0 when avoidance responses were assayed). For each type of assay, a population-based mean index was calculated per replica and a final response index was then obtained as the mean of all replicas’ means. Prior to hypothesis testing, the Shapiro-Wilk test (Shapiro and Wilk, 1965) was used to address for the normality of these final indexes.

Assessment of synergistic effects between fkh-8 and daf-19 was performed under the multiplicative model (Wagner, 2015). Briefly, average number of reporter-expressing neurons found in the whole animals for each genetic background was transformed into the corresponding fold change related to the observed mean value in the daf-12 single mutant. Next, expected values for the fold change corresponding to triple daf-12; daf-19, fkh-8 mutants were calculated as the product of the mean observed values for the double daf-12; daf-19 and daf-12; fkh-8 mutant strains. To calculate the associated error for this indirect measure, propagation error was used (sum of each standard deviation between the corresponding mean from each observed value in each double mutant multiplied by the value of the expected value). Statistical significance between observed and expected values was then assessed through a one-sample t test.

For the assessment of statistical significance in rescue experiments, data was categorically classified as ‘on’ or ‘off’ and the significance of the association was examined using the two-tailed Fisher’s exact test. No further multiple testing correction was performed, as fkh-8 null mutants were exclusively compared to wild type worms whereas each rescued line was exclusively compared against the fkh-8 null mutants.

Bioinformatics analysis

Ciliome gene list was assembled including genes associated with cilium-related terms from the Gene Ontology using AmiGO (Carbon et al., 2009), known ciliome genes with functional X-boxes (Burghoorn et al., 2012) and genes whose expression in ciliated neurons was reported in the WormBase. Transcription factors were deliberately excluded from this list. A further curation process was performed through a bibliographic research (see Figure 1—source data 1 for complete ciliome gene list).

For each isoform of the final 163 genes composing the ciliome gene list, putative regulatory sequences were retrieved from the Ensembl BioMart site (Kinsella et al., 2011) spanning 700 base pairs in length upstream of their translational start sites. These sequences were used to feed the RSAT oligo-analysis tool as previously described (Defrance et al., 2008; Turatsinze et al., 2008), using as a background model the in-tool genome of C. elegans and overall default options. Retrieved matrices were then compared both against the CIS-BP 1.02 (Weirauch et al., 2014) and the JASPAR core non-redundant 2018 (Khan et al., 2018) databases using the TomTom (Gupta et al., 2007) tool from the MEME suite (Bailey et al., 2009). Four different matrices of different lengths all matching RFX binding sites (X-boxes) were retrieved through this method. Overlapping of these matrices over the putative regulatory sequences from the ciliome genes was used to defined X-box regions whose coordinates were assessed for the ce10 version of the C. elegans genome.

Identification of candidate transcription factors with enriched expression in ciliated neurons was performed through the on-line tool GExplore1.4 (Hutter and Suh, 2016), employing the sci-RNA-seq dataset by Cao et al., 2017. A fivefold enrichment ratio and a false detection rate of 0.001 were used.

Expression pattern data in each ciliated neuron type for candidate transcription factors at the fourth larval stage were retrieved from the C. elegans Neuronal Gene Expression Network (CeNGEN; Taylor et al., 2021), whose results are freely accessible through the on-line tool SCeNGEA. Unfiltered data was used.

ChIP-seq data from C. elegans TFs were retrieved from the ENCODE portal website (Davis et al., 2018) (time of consulting: January the 10th, 2019). Peak annotation was carried out employing the ChIPseeker package (Yu et al., 2015), setting parameters as following: annotatePeak(gr1, tssRegion = c(–2000, 1000), level = lev, TxDb = annoData, overlap="TSS"). ENCODE accession numbers for all datasets used in this analysis are listed in Figure 1—source data 2. fkh-8 ChIP-seq bed narrowPeak file (ENCODE accession: ENCFF653QKE) was used as input file for the web-based analysis tool ChIPseek (Chen et al., 2014). For de novo motif discovery, resulting fasta file with annotated peaks was then used to feed the RSAT peak-motifs tool as previously described (Thomas-Chollier et al., 2012a; Thomas-Chollier et al., 2012b), setting the number of motifs per algorithm at 10 and using all 4 available discovery algorithms with overall default options.

For gene onthology, genes associated to FKH-8 ChIP-seq peaks where analysed through the on-line tool WormEnricher (Kuleshov et al., 2016).

Gene expression correlation between TFs and genes of interest were calculated using embryonic sc-RNA-seq data (Packer et al., 2019). Genes of interest were categorized into four categories: (1) core ciliome genes, (2) subtype-specific ciliome genes (both extracted from our ciliome list), (3) panneuronal genes (Stefanakis et al., 2015) and (4) ubiquitously expressed genes (Packer et al., 2019). In addition to fkh-8 and daf-19, the proneural TF factor hlh-14 was added as control TF not related to ciliogenesis. For all 10,775 ciliated cells present in the dataset, correlation index (R) between the expression levels for each gene and the TF was calculated. R data for each gene category are represented in the graph (See Figure 2—source data 2 for R values).

Presence of RFX/daf-19 binding motifs within the FKH TFs ChIP-seq peak sequences was performed with the on-line tool Centrimo (Bailey and Machanick, 2012) from the MEME suite. Sequences 420 base pairs in length spanning 210 base pairs from the centre of each peak were extracted to prevent Centrimo from discarding sequences due to uneven sequence length within and among the different ChIP-seq datasets. This consensus length was used considering the average sequence length of FKH-8 ChIP-seq peaks. ENCODE accession numbers for all datasets used in this analysis are listed in Figure 2—source data 2.

Visualization and analysis of ChIP-seq and RNA-seq files were performed with the Integrative Genomics Viewer (IGV) software (Robinson et al., 2011).

Acknowledgements

We thank CGC (P40 OD010440) for providing strains. Dr Laura Chirivella, Noemi Daroqui, Anna Roig and Elia García for technical help. Erick Sousa for providing bioinformatics assistance. Ioannis Segos and Barbara Conradt for sharing the immobilization protocol, Ethel Queralt for advice on the Co-IP experiments and Ines Carrera and Elisa Martí for comments on the manuscript. Funding: This work was supported by European Research Council (StG2011- 281920 and COG-101002203), Ministerio de Ciencia e Innovación (SAF2017-84790-R and PID2020-115635RB-I00) and Generalitat Valenciana (PROMETEO/2018/055).

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

Nuria Flames, Email: nflames@ibv.csic.es.

Douglas Portman, University of Rochester, United States.

Piali Sengupta, Brandeis University, United States.

Funding Information

This paper was supported by the following grants:

  • HORIZON EUROPE European Research Council ERC-2020-COG-101002203(NEUROCODE) to Rebeca Brocal-Ruiz, Ainara Esteve-Serrano, Carlos Mora-Martínez, Nuria Flames.

  • Ministerio de Ciencia e Innovación BES-2015-072799 to Rebeca Brocal-Ruiz.

  • Ministerio de Ciencia e Innovación PID2020-115635RB-I00 to Rebeca Brocal-Ruiz, Ainara Esteve-Serrano, Carlos Mora-Martínez, Nuria Flames.

  • European Research Council ERC-2011-StG_20101109 to Rebeca Brocal-Ruiz, Ainara Esteve-Serrano, Carlos Mora-Martínez, Nuria Flames.

  • Ministerio de Ciencia e Innovación SAF2017-84790-R to Nuria Flames.

  • European Research Council COG-101002203 to Nuria Flames.

  • Generalitat Valenciana PROMETEO/2018/055 to Nuria Flames, Marçal Vilar.

Additional information

Competing interests

No competing interests declared.

Author contributions

Formal analysis, Investigation, Visualization, Writing - review and editing.

Formal analysis, Investigation.

Data curation, Methodology.

Investigation.

Resources, Writing - review and editing.

Formal analysis.

Investigation, Methodology.

Conceptualization, Supervision, Funding acquisition, Visualization, Writing - original draft, Project administration, Writing - review and editing.

Additional files

Supplementary file 1. List of reagents: Strains, plasmids and primers.
elife-89702-supp1.xlsx (32.7KB, xlsx)
MDAR checklist

Data availability

All data generated or analysed during this study are included in the manuscript and supporting file; Supplementary File 1 includes strains, plasmids and primers.

The following previously published datasets were used:

Davis CA, Hitz BC, Sloan CA, Chan ET. 2018. The 1168 Encyclopedia of DNA elements (ENCODE): Data portal update. ENCODE. ENCFF549ZSK

Packer JS, Zhu Q, Huynh C, Sivaramakrishnan P, Preston E, Dueck H, Stefanik D, Tan K, Trapnell C, Kim J, Waterston RH, Murray JI. 2019. A lineage-resolved molecular atlas of C. elegans embryogenesis at single cell resolution. NCBI Gene Expression Omnibus. GSE126954

Taylor SR, Miller DM. 2019. Molecular topography of an entire nervous system. NCBI Gene Expression Omnibus. GSE136049

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Editor's evaluation

Douglas Portman 1

Sensory cilia are highly specialized organelles whose development and function requires complex machinery. In this important work, the authors use a convincing set of genetic, bioinformatic, and biochemical approaches in C. elegans to demonstrate that the forkhead transcription factor FKH-8 acts cooperatively with the RFX factor DAF-19 to activate the expression of many cilium genes. These findings indicate that forkhead factors have an ancient, conserved role in the development of sensory cilia, making this paper of interest to a variety of developmental and cell biologists.

Decision letter

Editor: Douglas Portman1

In the interests of transparency, eLife publishes the most substantive revision requests and the accompanying author responses.

Decision letter after peer review:

[Editors’ note: the authors submitted for reconsideration following the decision after peer review. What follows is the decision letter after the first round of review.]

Thank you for submitting the paper "Forkhead transcription factor FKH-8 is a master regulator of primary cilia in C. elegans" for consideration by eLife. Your article has been reviewed by 2 peer reviewers, , including Douglas Portman as the Reviewing Editor and Reviewer #1, and the evaluation has been overseen by a Senior Editor.

We are sorry to say that, after consultation with the reviewers, we have decided that this work will not be considered further for publication by eLife. However, if you are able to carry out the significant additional work that would be required to address the concerns below, we would be willing to consider a significantly revised manuscript as a new submission.

As you will see, both reviewers find the question you address, as well as the identification of fkh-8, to be of interest. However, there are multiple significant concerns with the work as it stands. In particular, Reviewer #2 raises important concerns about calling fhk-8 a "master regulator," given its relatively weak mutant phenotypes, as well as concerns about a lack of clarity regarding the nature of the functional relationship between fkh-8 and daf-19. (Although it is not specifically noted in either of the reviews below, showing that ectopic expression of fkh-8, or perhaps fkh-8 and daf-19 together, is sufficient to activate cilium genes in non-ciliated neurons might help address some of these issues.) Related to this are concerns, described below, with the methods used to detect and quantify cilium gene expression. There is also an important concern about using language rigorously -- this arises, for example, by repeatedly discussing the binding of FKH-8 to particular regions without any direct demonstration of this, and by using terms like 'master regulator' and 'synergy' without strong support. We hope that you will find the detailed comments of the reviewers listed below helpful.

Reviewer #1 (Recommendations for the authors):

In this paper, Brocal-Ruiz et al. set out to identify factors that work together with the RFX factor DAF-19 in the development of sensory cilia in C. elegans. Using an informatic approach, they identify the Forkhead-family transcription factor FKH-8 as a candidate for this role. Their findings largely support the idea that fkh-8 is expressed broadly in sensory cilia, that it acts cell-autonomously and directly to activate the expression of many cilium-specific genes, and that full expression of these genes may depend on synergy between DAF-19 and FKH-8. Consistent with this, animals lacking fkh-8 have defects in cilium morphology and in many sensory behaviors that require the function of ciliated neurons. Interestingly, they provide evidence that some vertebrate Forkhead-family factors can substitute for fkh-8 in C. elegans, suggesting that cooperation with RFX-family factors is an ancient, conserved phenomenon important for cilium specification. These results provide insight into a long-standing question about factors required for the differentiation of ciliated neurons in C. elegans and provide a prediction that a similar mechanism acts in sensory cilia in vertebrates. However, some concerns about interpretation of the data call into question whether it is legitimate to think of FKH-8 as a master regulator that acts syndergistically with DAF-19.

– Figure 6: it's nice to see (in the Methods) that a formal quantitative approach is used to test synergy between daf-19 and fkh-8. I'm concerned, however, that in this analysis the computed "expected" value assuming no synergy seems to have no associated error. This will make the one-sample t-test less stringent than it should be – that is, it will be easier for the experimentally observed value to appear significantly different from the expected value if there is no error associated with the expected value. I'm not sure there's any easy way around this, but the authors should provide stonger evidence that fkh-8 and daf-19 function synergistically.

– Authors argue that tm292 is a hypomorph based on its molecular structure and less severe phenotypes compared to vlc43. However, the truncation makes it seem possible that it could act as a dominant-negative/antimorphic allele. If so, this might affect the conclusions about synergy made in the double-mutant experiment, as nearly all of the experiments are carried out with tm292. Asking whether tm292 phenotypes are recessive would help to resolve this.

Reviewer #2 (Recommendations for the authors):

The transcriptional mechanisms driving the ciliogenic program are incompletely understood. Members of the RFX and Forkhead domain family of TFs have been implicated in motile ciliogenesis, and RFX TFs also regulate the expression of ciliogenic genes and regulate the development of primary cilia. Here the authors propose that the FKH-8 Forkhead domain TF works with the DAF-19 RFX TF in the development of primary cilia in C. elegans. Strengths of this work include the extensive bioinformatics and experimental analysis, and the finding that a subset of the fkh-8 mutant phenotypes can be rescued by their vertebrate homologs. However, the role of FKH-8 as a master regulator of ciliogenesis is not well-supported by the presented data. In particular, exactly how and where this TF acts in relation to the DAF-19 RFX remains unclear.

1. There are a few cases where an observation is reported but then not further followed up or discussed. This makes for a disjointed narrative. Examples:

Line 160: The authors report that mutations in daf-12 also have an effect on ciliary gene expression but this is not addressed any further. Given this, all data shown with daf-19; daf-12 should include not just WT as controls, but also the daf-12 mutant background as the directly relevant control (Figure 1C for example and others). Also see point 8 below.

Line 195: Figure 1E is another example. The authors report the enrichment of two PWMs in the upstream regions of genes containing X-boxes. But again, these are not followed up experimentally at all. Are these relevant in any way?

2. In Figure 1C and elsewhere, the authors report the overall number of cells expressing specific ciliary proteins. However, in addition to number, the level of expression is also a critical parameter. This is not described. A particular problem here is that all ciliary gene expression is examined using extrachromosomal reporters and the mosaicism of expression from these reporters together with their overexpression make precise measurements challenging. The authors need to validate at least a subset of their claims regarding effects of fkh-8, daf-19 and double/triple mutations on ciliary gene expression by examining the expression of GFP knockins at the relevant endogenous loci. Mutations in predicted FKH-8 binding sites should also be made at at least a subset of the endogenous loci and not only in these reporter constructs.

3. A particularly interesting category is the set of ciliary genes (broad and/or subtype-specific) that do NOT contain a predicted X-box. Is there any indication that these are regulated by any other shared motif?

4. It really wasn't clear to me from the presented analysis, exactly what fraction of ciliary genes containing X boxes also contain a predicted FKH-8 binding site and vice versa. Also, there is no clear data presented regarding the location and number of predicted FKH-8 binding sites relative to the X-boxes across the dataset (except for the few from the ChIP-seq dataset). These analyses need to be clearly presented.

5. The cilia morphology defects in fkh-8 mutants are very minor especially as compared to the drastic phenotypes of daf-19 mutants. It is difficult to assess how the shown effects on the expression of a subset of ciliary genes correlates with the shown ciliary morphological phenotypes. Did the authors look at cilia morphologies in the double/triple? How do they account for lengthening of one cilia type and shortening of others? I noted that cilia imaging was performed using sodium azide – this reagent shortens cilia. These measurements should be redone using levamisole.

6. The biggest issue with this work is that it is unclear whether the observed synergism is arising as a consequence of partly redundant effects on gene expression in individual neurons or across the population or both. In other words, there are at least two possible models. In the first, FKH-8 and DAF-19 could be acting together to regulate say ift-20 gene expression in every ciliated cell with perhaps somewhat each TF having greater or lesser contribution in individual cell types. In the second, these proteins could be acting to regulate ift-20 in different cell types. Either scenario would lead to an observed synergism in gene expression defects as measured in a population. Thus the statement in lines 521-22 regarding the mechanism of the synergism is not supported by the data.

What the authors need to do is to select a small number of genes, create endogenous reporter knock-ins (maybe consider using split-gfp to make it easier to look at single neurons) and then analyze gene expression levels in detail in a few defined ciliated sensory neurons in the singles and double/triples. The population level analysis is a good start but does not provide the resolution needed to really understand the underlying regulatory principles.

7. The forkhead domain protein FKH-2 was previously also implicated in regulation of expression of ciliary genes specifically in the AWB olfactory neurons and proposed to work together with DAF-19 (PMID: 17510633). This work not only needs to be referenced and discussed but perhaps also examined further in the context of the current work (especially since the authors also observe defects in AWB cilia).

8. Figure 6D examines expression of a subset of ciliome genes in fkh-8; daf-19; daf-12 triple mutants. It is unclear from the figure whether expression of ciliome genes in the triple mutant is significantly different from that of the daf-19; daf-12 double mutant. This is particularly critical because these are the only data addressing whether FKH-8 and DAF-19 act synergistically.

9. The rescue of the ift-20 expression phenotype by the vertebrate homologs is nice, but this result would be more convincing if additional phenotypes of fkh-8 mutants were also assessed for rescue.

eLife. 2023 Jul 14;12:e89702. doi: 10.7554/eLife.89702.sa2

Author response


[Editors’ note: the authors resubmitted a revised version of the paper for consideration. What follows is the authors’ response to the first round of review.]

Reviewer #1 (Recommendations for the authors):

In this paper, Brocal-Ruiz et al. set out to identify factors that work together with the RFX factor DAF-19 in the development of sensory cilia in C. elegans. Using an informatic approach, they identify the Forkhead-family transcription factor FKH-8 as a candidate for this role. Their findings largely support the idea that fkh-8 is expressed broadly in sensory cilia, that it acts cell-autonomously and directly to activate the expression of many cilium-specific genes, and that full expression of these genes may depend on synergy between DAF-19 and FKH-8. Consistent with this, animals lacking fkh-8 have defects in cilium morphology and in many sensory behaviors that require the function of ciliated neurons. Interestingly, they provide evidence that some vertebrate Forkhead-family factors can substitute for fkh-8 in C. elegans, suggesting that cooperation with RFX-family factors is an ancient, conserved phenomenon important for cilium specification. These results provide insight into a long-standing question about factors required for the differentiation of ciliated neurons in C. elegans and provide a prediction that a similar mechanism acts in sensory cilia in vertebrates. However, some concerns about interpretation of the data call into question whether it is legitimate to think of FKH-8 as a master regulator that acts syndergistically with DAF-19.

– Figure 6: it's nice to see (in the Methods) that a formal quantitative approach is used to test synergy between daf-19 and fkh-8. I'm concerned, however, that in this analysis the computed "expected" value assuming no synergy seems to have no associated error. This will make the one-sample t-test less stringent than it should be – that is, it will be easier for the experimentally observed value to appear significantly different from the expected value if there is no error associated with the expected value. I'm not sure there's any easy way around this, but the authors should provide stonger evidence that fkh-8 and daf-19 function synergistically.

We thank both reviewers for pointing out the importance of further addressing the synergistic actions of FKH-8 and DAF-19. Regarding the specific issue of the error associated to expected values we have now used propagation error to assign an error to the expected values (Supplementary File 1). This error is calculated as the sum of each standard deviation between the corresponding mean from each observed value in each double mutant multiplied by the value of the expected value. It is important to point out however that this has no impact on the statistical test used for the analysis of synergistic effects.

To provide stronger evidence for synergistic effects between these two transcription factors we have followed Reviewer #2 suggestion and focus on specific subpopulations of sensory neurons to quantify the phenotypes in the different genetic backgrounds. We show data for 3 different neuron types (CEPV, CEPD and PHA) and two different ciliome gene reporters (osm-1 and xbx-1). These are examples in which reporter's expression is not affected or only very partially affected in each single mutant but completely absent from the double mutant. These constitute important results strongly supporting synergistic effects between FKH-8 and DAF-19. These data are now presented in Figure 4E.

– Authors argue that tm292 is a hypomorph based on its molecular structure and less severe phenotypes compared to vlc43. However, the truncation makes it seem possible that it could act as a dominant-negative/antimorphic allele. If so, this might affect the conclusions about synergy made in the double-mutant experiment, as nearly all of the experiments are carried out with tm292. Asking whether tm292 phenotypes are recessive would help to resolve this.

We appreciate raising this concern, we have now included data on the recessive nature of both the tm292 and vlc43 alleles (Figure S6C).

Reviewer #2 (Recommendations for the authors):

The transcriptional mechanisms driving the ciliogenic program are incompletely understood. Members of the RFX and Forkhead domain family of TFs have been implicated in motile ciliogenesis, and RFX TFs also regulate the expression of ciliogenic genes and regulate the development of primary cilia. Here the authors propose that the FKH-8 Forkhead domain TF works with the DAF-19 RFX TF in the development of primary cilia in C. elegans. Strengths of this work include the extensive bioinformatics and experimental analysis, and the finding that a subset of the fkh-8 mutant phenotypes can be rescued by their vertebrate homologs. However, the role of FKH-8 as a master regulator of ciliogenesis is not well-supported by the presented data. In particular, exactly how and where this TF acts in relation to the DAF-19 RFX remains unclear.

1. There are a few cases where an observation is reported but then not further followed up or discussed. This makes for a disjointed narrative. Examples:

Line 160: The authors report that mutations in daf-12 also have an effect on ciliary gene expression but this is not addressed any further. Given this, all data shown with daf-19; daf-12 should include not just WT as controls, but also the daf-12 mutant background as the directly relevant control (Figure 1C for example and others). Also see point 8 below.

We thank the reviewer for pointing this out and apologise for the disjointed narrative. Regarding the specific issue about daf-12, and considering the focus of the paper is FKH-8 characterization, we have decided to follow the same strategy as previous works using daf-12(sa204); daf-19(m86) mutants in which daf-12(sa204) is always used as the relevant control (doi:10.1016/j.ydbio.2011.06.028; doi:10.1534/genetics.117.300571/-/DC1.1).

Thus, in the new manuscript whenever daf-12(sa204); daf-19(m86) is used the control refers to daf-12(sa204) (Figure 1 and Figure 4). To avoid disjointed narrative we have omitted the comment on daf-12 effect on ciliary gene expression.

Line 195: Figure 1E is another example. The authors report the enrichment of two PWMs in the upstream regions of genes containing X-boxes. But again, these are not followed up experimentally at all. Are these relevant in any way?

We thank again the reviewer for helping improve the flow of the manuscript. We found that the two additional motifs found in genes containing X-boxes show strong similarity to DAF-19 and to the previously reported C-BOX (doi:10.1016/j.ydbio.2012.05.033). Thus, these motifs are not useful to identify new factors involved in the regulation of ciliogenesis. We have added this information in Line 200-202 and move the panel to Figure S3C to help the reader stay focused on the main message of the paper.

2. In Figure 1C and elsewhere, the authors report the overall number of cells expressing specific ciliary proteins. However, in addition to number, the level of expression is also a critical parameter. This is not described. A particular problem here is that all ciliary gene expression is examined using extrachromosomal reporters and the mosaicism of expression from these reporters together with their overexpression make precise measurements challenging. The authors need to validate at least a subset of their claims regarding effects of fkh-8, daf-19 and double/triple mutations on ciliary gene expression by examining the expression of GFP knockins at the relevant endogenous loci. Mutations in predicted FKH-8 binding sites should also be made at at least a subset of the endogenous loci and not only in these reporter constructs.

We appreciate reviewer's comments on the use of extrachromosomal arrays. Extrachromosomal multicopy arrays have been extensively used in the past to provide robust evidence for the relevant targets for many transcription factors. Undoubtedly, mosaicism associated to Ex arrays is one caveat for their use, to avoid this issue, the same extrachromosomal line is crossed in the different genetic backgrounds to be able to compare and assess the effects associated to the mutations and not to the mosaicism. Nevertheless, we understand CRISPR endogenous tagging has become the gold standard in the field, thus we built an endogenously tagged osm-5 strain (osm-5::SL2::GFP::H2B ) as a proof of concept to assess the role of FKH-8 in core ciliome gene expression. Our results show that fkh-8(vlc43) displays broad defects in osm5 endogenous expression. Following reviewer #2 advice, we have quantified fluorescence levels in specific subpopulations of sensory neurons. These data are now presented in Figure 3 C,D.

3. A particularly interesting category is the set of ciliary genes (broad and/or subtype-specific) that do NOT contain a predicted X-box. Is there any indication that these are regulated by any other shared motif?

There are 61 ciliome genes that do not show an X-BOX in the analysed regulatory sequences. Most of them (43 genes) correspond to subtype specific ciliome components. We did not find enriched motifs for known transcription factors (this is now included in the text line 203-209). It is important to mention that many subtype specific ciliome components are known to be directly regulated by the terminal selector acting in each specific sensory ciliated neuron (doi:10.1038/nature07929, doi: 10.1101/gad.1560107; doi:10.1242/dev.099721). Failure to identify common motifs in subtype specific ciliome components might be reflecting this subtype specific regulation by terminal selectors. This point has been included in the discussion (Line 608611)

4. It really wasn't clear to me from the presented analysis, exactly what fraction of ciliary genes containing X boxes also contain a predicted FKH-8 binding site and vice versa. Also, there is no clear data presented regarding the location and number of predicted FKH-8 binding sites relative to the X-boxes across the dataset (except for the few from the ChIP-seq dataset). These analyses need to be clearly presented.

We thank very much the reviewer for this comment and apologise for the lack of clarity.

It is important to clarify that we use experimentally assessed FKH-8 ChIP-seq peaks and not predicted motifs, as the predicted binding site for FKH-8 has not been experimentally determined. Predicted motifs for FKH TFs (RYMAAYA for the classical FKH motif and GACGC for the FKH like) are small and degenerate and thus not very informative for predictions in the genome.

Regarding DAF-19, there is no available ChIP-seq data, however X-boxes correspond to long imperfect palindromic sequences with high information content (Figure S3A). They are so informative that their mere presence in the promoters of novel genes has been used to identify new ciliome components in different organisms including C. elegans (doi: 10.1186/gb-2006-7-12r126; doi: 10.1186/gb-2006-7-12-r126; doi:10.1016/j.cub.2005.04.059). Moreover, many of these predicted X-boxes have been previously verified by site directed mutagenesis. Finally, many bioinformatic hits of X-boxes compare extremely well to experimentally determined vertebrate RFX TF binding (DOI: 10.1016/j.celrep.2022.110661; doi.org/10.1038/35002634). Thus, most Xboxes are likely to correspond to DAF-19 bound sequences.

Our data shows that most core ciliome genes contain both an X-box and a FKH-8 peak, in addition, FKH-8 genomic binding takes place in close proximity to X-boxes (center of FKH-8 peak is less than 600 bp apart from the X-box motif).

Importantly, we complemented this information with coIP experiments that show DAF-19D and FKH-8 can physically interact.

All these new data are presented in Figure #2F-H and Figure S5.

5. The cilia morphology defects in fkh-8 mutants are very minor especially as compared to the drastic phenotypes of daf-19 mutants. It is difficult to assess how the shown effects on the expression of a subset of ciliary genes correlates with the shown ciliary morphological phenotypes. Did the authors look at cilia morphologies in the double/triple? How do they account for lengthening of one cilia type and shortening of others? I noted that cilia imaging was performed using sodium azide – this reagent shortens cilia. These measurements should be redone using levamisole.

We thank the reviewer for these comments. Several pieces of evidence indicate that daf-19 mutants show stronger phenotypes: (1) Reporter gene expression is more affected in daf-19 than in fkh-8 mutants (Figure 1C compared to Figure 3A), (2) Lipophilic staining with DiI is affected in daf-19 but not in fkh-8 mutants and (3) There are smaller ciliary morphology defects in fkh-8 compared to complete absence of cilia in daf-19 mutants (doi:10.1016/0012-1606(86)90314-3) (4) Our new data shows that DAF-19 ectopic expression, but not FKH-8, is sufficient to drive ciliary gene expression (Figure S9). Accordingly, we have now omitted the term master regulator to refer to FKH-8 ciliogenic actions.

Following reviewer's suggestion, there are some links that can be extrapolated between fkh-8 ciliome gene expression defects and morphology and behaviour defects. For example, our new data shows broad expression defects for osm-5 endogenous gene reporter in fkh-8 mutants (Figure 3C), and osm-5 mutants show AWB cilia morphology defects (doi:10.1038/sj.emboj.7601717) which are also present in fkh-8 mutants (Figure 5). Finally, repulsion to 2-nonanol, that is mediated by AWB, is also affected in fkh-8 mutants (Figure 6). We now refer to these correlations of phenotypes directly in the text (Line 447 to 449 and 505 and 507).

Nevertheless, both ciliary morphology and behaviour are functional readouts of cilia integrity that is regulated by a great number of different genes, thus mutations in many ciliome components produce cilia morphology defects or behaviour defect. It is hard to assign specific targets to specific defects. The relevance of our manuscript is the description of the role of FKH-8 in the DIRECT regulation of a BROAD number of ciliome components, COOPERATING with DAF-19 (which we now show further support of synergistic actions and physical interaction). Thus, it is probable that fkh-8 mutant defects in ciliary morphology and cilia regulated behaviours could be attributed to gene expression defects in several ciliome components.

We appreciate the suggestion of studying synergistic effects of DAF-19 and FKH-8 in cilia morphology however daf-19 mutants lack cilia (doi:10.1016/0012-1606(86)90314-3), thus we cannot perform those experiments.

We thank the reviewer suggesting that we measure cilia length using levamisole. We found fkh8 mutants are extremely resistant to levamisole, alternatively we used beads to immobilise worms and reproduced morphology defects in the mutant (Figure S10).

Finally, cilia length is controlled by a balance between cilia assembly and disassembly regulated by IFT and mutants for ciliome components can produce both shortened or elongated cilia. We have added this explanation in the text (Line 435-437). Nevertheless, we should be cautious with the lengthening phenotype in ADF in fkh-8 mutants because when assessed in bead immobilized worms ADF cilia in fkh-8 mutants is shorter than in wild type, this is now included in the text (Figure S10).

6. The biggest issue with this work is that it is unclear whether the observed synergism is arising as a consequence of partly redundant effects on gene expression in individual neurons or across the population or both. In other words, there are at least two possible models. In the first, FKH-8 and DAF-19 could be acting together to regulate say ift-20 gene expression in every ciliated cell with perhaps somewhat each TF having greater or lesser contribution in individual cell types. In the second, these proteins could be acting to regulate ift-20 in different cell types. Either scenario would lead to an observed synergism in gene expression defects as measured in a population. Thus the statement in lines 521-22 regarding the mechanism of the synergism is not supported by the data.

What the authors need to do is to select a small number of genes, create endogenous reporter knock-ins (maybe consider using split-gfp to make it easier to look at single neurons) and then analyze gene expression levels in detail in a few defined ciliated sensory neurons in the singles and double/triples. The population level analysis is a good start but does not provide the resolution needed to really understand the underlying regulatory principles.

We are very grateful to the reviewer for this suggestion. Our initial data suggest the effects are higher than what will be expected by an additive effect, either at the cell or at the population level, nevertheless, we agree with the reviewer this population level analysis does not have enough resolution to strongly claim synergistic effects. An additional important limitation with the population analysis is the ectopic reporter expression observed for some ciliary gene reporters in daf-19 mutants, which could mask missing expression in ciliated neurons in the different mutant backgrounds.

Thus, following reviewer's advice we aimed to identify specific subpopulations of ciliated neurons. First, we attempted to use Neuropal (DOI: 10.1016/j.cell.2020.12.012) to identify each different ciliated neuron type, however, although NeuroPAL worked well for neuron identification in the wild type background, NeuroPAL reporters were massively missregulated in daf-19 mutants precluding its use to identify specific neuron types in double and triple mutants.

Alternatively, we first tentatively identified neuron-types candidates to display synergy based on population scores and cell locations and next selected specific reporter strains unaffected in all genetic backgrounds to unequivocally identify those neuron types. This was a laborious task but turned out to be very important. In this way we have been able to assess synergistic effects of DAF19 and FKH-8 in the regulation of osm-1 reporter in CEPV and CEPD and of xbx-1 reporter expression in PHA (Figure 4E).

We think this new set of experiments, together with additional data (co-expression of DAF-19 and FKH-8 in all ciliated neurons, binding in nearby regions of the regulatory genome of ciliome genes and physical interaction) provide strong evidence for synergistic actions for both TFs.

7. The forkhead domain protein FKH-2 was previously also implicated in regulation of expression of ciliary genes specifically in the AWB olfactory neurons and proposed to work together with DAF-19 (PMID: 17510633). This work not only needs to be referenced and discussed but perhaps also examined further in the context of the current work (especially since the authors also observe defects in AWB cilia).

We thank the reviewer for this comment and for the suggested experiments. We now cite this work and have now determined that fkh-2 expression in AWB is unaffected in fkh-8 null mutants. The data is now indicated in results (Line 374-386) and discussion (Line 594-596).

8. Figure 6D examines expression of a subset of ciliome genes in fkh-8; daf-19; daf-12 triple mutants. It is unclear from the figure whether expression of ciliome genes in the triple mutant is significantly different from that of the daf-19; daf-12 double mutant. This is particularly critical because these are the only data addressing whether FKH-8 and DAF-19 act synergistically.

Following reviewer #2 suggestion we have now addressed synergism analysing specific sensory ciliated neuron subtypes (Figure 4D).

We have nevertheless maintained total quantification of cells for ift-20 (Figure 4C) and for xbx-1 and peli-1 reporters (Figure S9). For all three reporters, mean number of expressing neurons in daf-12(sa204); daf-19(m86), fkh-8(tm292) triple mutants is significantly different from each of the double mutants and significantly lower than the expected from the multiplicative effect of both daf-12(sa204); fkh-8(tm292) and daf-12(sa204); daf-19(m86) animals. This information is now indicated in the corresponding figure legends.

9. The rescue of the ift-20 expression phenotype by the vertebrate homologs is nice, but this result would be more convincing if additional phenotypes of fkh-8 mutants were also assessed for rescue.

We agree with the reviewer rescuing of additional phenotypes with mouse orthologs will be nice, however these experiments will not provide any conceptually addition to the manuscript. We decided to prioritize the work on the synergistic actions of DAF-19 and FKH-8, for which we have now provided new data on double mutants and also physical interaction. In addition, as part of a new project in the laboratory, we are performing a systematic analysis on the rescuing ability of different members of the mammalian FKH family in C. elegans. In this context, we will also expand the panel of rescued reporters, but we think performing these experiments is beyond the scope of this manuscript and will further delay its publication.

Associated Data

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

    Data Citations

    1. Davis CA, Hitz BC, Sloan CA, Chan ET. 2018. The 1168 Encyclopedia of DNA elements (ENCODE): Data portal update. ENCODE. ENCFF549ZSK [DOI] [PMC free article] [PubMed]
    2. Packer JS, Zhu Q, Huynh C, Sivaramakrishnan P, Preston E, Dueck H, Stefanik D, Tan K, Trapnell C, Kim J, Waterston RH, Murray JI. 2019. A lineage-resolved molecular atlas of C. elegans embryogenesis at single cell resolution. NCBI Gene Expression Omnibus. GSE126954 [DOI] [PMC free article] [PubMed]
    3. Taylor SR, Miller DM. 2019. Molecular topography of an entire nervous system. NCBI Gene Expression Omnibus. GSE136049

    Supplementary Materials

    Figure 1—source data 1. Raw quantification data of ciliome gene reporters in daf-19(m86); daf-12(sa204) included in Figure 1 and Figure 1—figure supplement 2.
    Figure 1—source data 2. Gene lists and raw data for bioinformatics analysis in Figure 1 and Figure 1—figure supplement 3.
    Figure 2—source data 1. Raw quantification data of FKH-8 and ift-20 reporter co-expression represented in Figure 2B.
    Figure 2—source data 2. Raw data for bioinformatics analysis in Figure 2 and Figure 2—figure supplements 1 and 2.
    elife-89702-fig2-data2.xlsx (168.2KB, xlsx)
    Figure 2—source data 3. Co-IP original files of unedited gels in Figure 2.
    Figure 2—figure supplement 2—source data 1. Co-IP original files of unedited gels for the chromatin fraction.
    Figure 3—source data 1. Raw quantification data of ciliome gene reporter expression defects in fkh-8 mutants and cis-regulatory point mutation analysis corresponding to Figure 3 and Figure 3—figure supplements 1 and 2.
    elife-89702-fig3-data1.xlsx (122.6KB, xlsx)
    Figure 3—source data 2. Motif enrichment analysis of xbx-1 and ift-20 reporters.
    Figure 4—source data 1. Raw quantification data of synergistic actions of fkh-8 and daf-19 depicted in Figure 4, Figure 4—figure supplements 1 and 2.
    Figure 5—source data 1. Raw quantification data of cilia morphology analysis depicted in Figure 5 and Figure 5—figure supplement 1.
    Figure 6—source data 1. Raw quantification data for behavioral analysis in Figure 6 and Figure 6—figure supplement 1.
    Figure 7—source data 1. Raw quantification data for rescuing experiments in Figure 7.
    Supplementary file 1. List of reagents: Strains, plasmids and primers.
    elife-89702-supp1.xlsx (32.7KB, xlsx)
    MDAR checklist

    Data Availability Statement

    All data generated or analysed during this study are included in the manuscript and supporting file; Supplementary File 1 includes strains, plasmids and primers.

    The following previously published datasets were used:

    Davis CA, Hitz BC, Sloan CA, Chan ET. 2018. The 1168 Encyclopedia of DNA elements (ENCODE): Data portal update. ENCODE. ENCFF549ZSK

    Packer JS, Zhu Q, Huynh C, Sivaramakrishnan P, Preston E, Dueck H, Stefanik D, Tan K, Trapnell C, Kim J, Waterston RH, Murray JI. 2019. A lineage-resolved molecular atlas of C. elegans embryogenesis at single cell resolution. NCBI Gene Expression Omnibus. GSE126954

    Taylor SR, Miller DM. 2019. Molecular topography of an entire nervous system. NCBI Gene Expression Omnibus. GSE136049


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