- Research article
- Open Access
Genes and signaling networks regulated during zebrafish optic vesicle morphogenesis
- Jun Yin†1, 3,
- Maria E Morrissey†2,
- Lisa Shine2,
- Ciarán Kennedy2,
- Desmond G Higgins1 and
- Breandán N Kennedy2Email author
© Yin et al.; licensee BioMed Central Ltd. 2014
- Received: 9 February 2014
- Accepted: 24 September 2014
- Published: 30 September 2014
The genetic cascades underpinning vertebrate early eye morphogenesis are poorly understood. One gene family essential for eye morphogenesis encodes the retinal homeobox (Rx) transcription factors. Mutations in the human retinal homeobox gene (RAX) can lead to gross morphological phenotypes ranging from microphthalmia to anophthalmia. Zebrafish rx3 null mutants produce a similar striking eyeless phenotype with an associated expanded forebrain. Thus, we used zebrafish rx3-/- mutants as a model to uncover an Rx3-regulated gene network during early eye morphogenesis.
Rx3-regulated genes were identified using whole transcriptomic sequencing (RNA-seq) of rx3-/- mutants and morphologically wild-type siblings during optic vesicle morphogenesis. A gene co-expression network was then constructed for the Rx3-regulated genes, identifying gene cross-talk during early eye development. Genes highly connected in the network are hub genes, which tend to exhibit higher expression changes between rx3-/- mutants and normal phenotype siblings. Hub genes down-regulated in rx3-/- mutants encompass homeodomain transcription factors and mediators of retinoid-signaling, both associated with eye development and known human eye disorders. In contrast, genes up-regulated in rx3-/- mutants are centered on Wnt signaling pathways, associated with brain development and disorders. The temporal expression pattern of Rx3-regulated genes was further profiled during early development from maternal stage until visual function is fully mature. Rx3-regulated genes exhibited synchronized expression patterns, and a transition of gene expression during the early segmentation stage when Rx3 was highly expressed. Furthermore, most of these deregulated genes are enriched with multiple RAX-binding motif sequences on the gene promoter.
Here, we assembled a comprehensive model of Rx3-regulated genes during early eye morphogenesis. Rx3 promotes optic vesicle morphogenesis and represses brain development through a highly correlated and modulated network, exhibiting repression of genes mediating Wnt signaling and concomitant enhanced expression of homeodomain transcription factors and retinoid-signaling genes.
- Homeodomain Transcription Factor
- Optic Vesicle
- Retinal Progenitor Cell
- Connectivity Score
In vertebrates, eyes form as forebrain evaginations that produce optic vesicles. Upon contacting the surface ectoderm, the optic vesicles form the neural retina and retinal pigment epithelium . The retinal homeobox transcription factor, RX (also known as retina and anterior neural fold homeobox, RAX) has an evolutionarily conserved role during early vertebrate eye development . Of clinical relevance, mutations in human RX can cause anophthalmia (a complete absence of eyes) or microphthalmia (a small eye) [3, 4]. Homozygous murine Rx nulls fail to form eye structures, have severe brain defects, including the absence of forebrain and midbrain structures, and die neonatally . In contrast, hypomorphs are viable, but lack eyes and optic tracts .
Teleost genomes can contain multiple Rx gene paralogs with specialized roles . In, medaka and zebrafish, rx3 mutants lack eyes because of a failure of optic vesicles to properly form [7, 8]. Zebrafish rx1 and rx2 exhibit reduced expression in rx3 mutants indicating that Rx3 is an upstream regulator of these paralogs . When expression of rx1 and rx2 are knocked-down in zebrafish, optic vesicles do form, but microphthalmia results . Knocking down the expression of rx1 and rx2 at later stages of eye development confirms that rx1 and rx2 have diversified, pleiotropic roles: rx1 has a distinct function in the proliferation of retinal progenitor cells . In zebrafish rx3 null mutants, in addition to defective optic vesicle morphogenesis, the forebrain is enlarged . This is consistent with Rx3 functioning to segregate the eye field from the telencephalon. Indeed, Rx3 alters the migratory behaviour of retinal progenitor cells towards optic vesicle evagination and away from the default forebrain fate [7, 11]. However, the Rx3-regulated genetic networks driving optic vesicle evagination are still poorly understood.
Rx functions as part of a highly conserved network of transcription factors, collectively referred to as the eye field transcription factors, and includes Pax6, Six3, Optx2, Tlx, Lhx2, and ET . A small number of zebrafish Rx3 targets have previously been identified by comparing candidate gene expression in rx3 -/- mutants and wild-type phenotype siblings around somitogenesis. Zebrafish Rx3 functions to up-regulate genes promoting eye development, and concomitantly down-regulate genes supporting forebrain development . cxcr4a is down-regulated at about 10 hours post fertilization (hpf), mab21l2 and pard6gb are down-regulated at 11 hpf, followed by rx2 at 13 hpf and rx1 at 14–15 hpf [9, 13–15]. In rx3 mutants, vsx2 expression is not detectable in the zebrafish optic cup at 26 hpf, though in medaka rx3 mutants, vsx2 expression has been shown to be down-regulated at a much earlier stage of development (16-somites) [9, 16]. Knockdown of rx1, rx2, mab21l2 or vsx2 genes produces small eye phenotypes in zebrafish supporting their role in promoting eye development [6, 13, 17]. Markers of forebrain development, including emx3, foxg1, tlc, epha4a, ephb4a and nlcam are up-regulated in rx3 -/- mutants during very early stages of eye morphogenesis from 10–12 hpf onwards [8, 11, 18]. The onset of Rx3 expression is from ~9 hpf, during the late gastrulation stage . However, quantitative comparisons of the temporal expression of Rx3 and reported targets during eye developmental stages have not been performed. Furthermore, the Rx3 target genes that have been reported are likely to represent a small proportion of all the genes regulated by Rx3 during early eye development.
RNA-seq enables quantitative, whole transcriptome level measurement of known and novel gene expression . Here, we applied RNA-seq to gain a more comprehensive understanding of the genes regulated by Rx3 in zebrafish. Comparing recessive rx3 -/- mutants and morphologically wild-type siblings, we identified genes with significant differential expression during early eye morphogenesis. We profiled the temporal expression of rx3 and the Rx3-regulated genes using RNA-seq data sets covering maternal to post-segmentation development stages. Finally, we assembled a gene co-expression network that highlights the complex positive and negative interaction of Rx3-regulated genes with homeodomain transcription factors, retinoid and Wnt signaling factors.
Whole transcriptome sequencing of 13 hpf Zebrafish rx3 -/- mutants
Ample genome annotation is essential for interpreting large gene expression datasets . Thus, we constructed a more comprehensively annotated zebrafish transcriptome by combining de novo transcripts assembled using Cufflinks with known transcripts from public databases RefSeq, Ensembl and GenBank. The transcribed regions in the zebrafish genome were increased from only 56 Mb as covered by Ensembl transcripts to 76 Mb after integrating all the transcripts. A total of 31,731 genes were defined using the combined set of transcripts. Of these, 2284 genes were solely assembled using RNA-seq reads. Consequently, ~16-20 million reads were mapped to the customized transcriptome representing 82-84% of the aligned reads (Figure 1A). Overall, ~3-4% of reads were mapped to novel transcribed regions, which are either extensions of known genes forming novel exons and/or longer UTRs (Figure 1D), or entirely novel genes assembled from the RNA-seq data (Figure 1E).
Identification of differentially expressed genes in rx3 -/- optic vesicle mutants
Next, we sought to identify genes significantly deregulated during optic vesicle development due to the absence of functional Rx3. To measure gene expression levels, read counts for each gene were normalized using reads per kilobase per million reads (RPKM) (Figure 1B-E). Genes with extremely low read counts were eliminated from further analysis due to a lack of reproducibility (Additional file 1: Figure S1). Using an RPKM cut-off of 5, ~28% of the genes are highly expressed, whereas, with a moderately stringent cut-off of 0.5 ≤ RPKM <5, ~52% of the annotated genes are expressed. Generally, rx3 -/- mutants and wild-type phenotype siblings have no significant differences in global gene expression levels (Additional file 1: Figure S1).
Top 20 differentially expressed genes between normal phenotype siblings and rx3 -/- mutants selected by Q-value
RPKM of normal siblings
RPKM of rx3 -/-
Response to stress/stimulus
Vision and light stimulus
Retinal homeobox gene 2
Visual system homeobox 2
H6 homeo box 1
Coiled-coil domain containing 90B
RAR-related orphan receptor A, paralog b
Breakpoint cluster region
Sine oculis homeobox homolog 7
Tnf receptor-associated factor 4a
POU class 3 homeobox 3a
DMRT-like family A2
FEZ family zinc finger 2
Cartilage acidic protein 1
0.00E + 00
Wingless-type MMTV integration site family, member 7Ba
SRY-box containing gene 1b
Forkhead box G1a
FEZ family zinc finger 1
Nuclear receptor subfamily 2, group E, member 1
Several homeodomain transcription factors (e.g. rx2, vsx2 and hmx1) are within the most prominent down-regulated genes in rx3 -/- mutants (Table 1). The retinoic acid receptor-related orphan receptors, rorab and rorb, also show lower expression in rx3 -/- mutants (Table 1). Importantly the list of the most deregulated genes (Table 1) includes several known Rx3 targets (rx2, mab21l2 and foxg1a), validating the RNA-seq results [11, 13]. Most other differentially expressed genes are potential novel targets regulated by Rx3, directly or indirectly. Moreover, several down-regulated homeobox genes have predominant expression in the eye during optic vesicle morphogenesis consistent with an important role during early eye development (rx2-3, six6, hmx1, six7, vsx2).
Differentially expressed genes associated with human diseases
Retinal homeobox gene 2
Microphthalmia, isolated 3 (MCOP3)
Visual system homeobox 2
Microphthalmia, isolated, with coloboma 3 (MCOPCB3)
Microphthalmia, isolated 2 (MCOP2)
H6 homeo box 1
Aldehyde dehydrogenase 1 family, member A3
Microphthalmia, isolated 8 (MCOP8)
Sine oculis-related homeobox 6b
Microphthalmia, isolated, with cataract 2 (MCOPCT2)
Retinal homeobox gene 3
Microphthalmia, isolated 3 (MCOP3)
Aristaless related homeobox
Corpus callosum, agenesis of, with abnormal genitalia
Lissencephaly, x-linked, 2 (LISX2)
Mental retardation, x-linked, with or without seizures, ARX-related
Epileptic encephalopathy, early infantile, 1 (EIEE1)
Partington x-linked mental retardation syndrome (PRTS)
Forkhead box G1a
Rett syndrome, congenital variant
Molecular validation of genes down-regulated in 13 hpf rx3 -/- mutants
Subsequently, we selected hmx1 and six7 for further analysis by in situ hybridisation. This confirmed the down-regulation of hmx1 and six7 expression during early eye development in rx3 -/- mutants (Figure 2D). The residual six7 expression in the apparent vestigial eye field located on the ventral side of the anterior head likely explains why PCR was not sufficiently sensitive to detect the significant six7 deregulation observed by RNA-seq and in situ hybridisation (Figure 2A, B, D). Overall, most genes demonstrated to be down-regulated in rx3 -/- mutants by bioinformatic analysis of RNA-seq data have been validated by independent molecular techniques.
Gene set analysis of differentially expressed genes
In parallel, KEGG pathway annotation was used to profile signaling pathways associated with the differentially expressed genes . Genes down-regulated in rx3 -/- mutants are associated with circadian rhythms (e.g. rorb, rorab), and metabolism (e.g. adh8b, aldh1a3) (Figure 3G, H). Genes up-regulated in rx3 -/- mutants are associated with p53 signaling (e.g. igfbp3, bai1), axon guidance (e.g. ntn1b, ppp3ca and dpysl2), and Wnt and Hedgehog signaling (e.g. wnt7ba, wnt7bb and ppp3ca). Wnt, Hedgehog and p53 signaling pathways are crucial for brain development [30, 31]. Previous reports hypothesize that Rx3 prevents retinal progenitor cells developing into forebrain cells by inhibiting Wnt signaling [11, 32, 33]. Here, demonstration that elevated expression of Wnt signaling genes occurs in rx3 -/- mutants, during optic vesicle morphogenesis, supports this hypothesis.
Co-expression network of Rx3-associated genes
Linkage of genes was decided using correlation scores of gene expression during early development. Genes with correlation coefficients of ≥0.95 or ≤ -0.95 were connected in the network to indicate significant gene co-expression (Figure 4A). Genes within the same signaling pathway tend to connect with each other or through a common mediator. These connected genes form distinct groups in the co-expression network. Homeodomain transcription factors and genes related with retinoid-signaling emerged as the two major hubs for genes down-regulated in rx3-/- mutants. The expression of other down-regulated genes, including mab21l2, foxd1 and tra4a highly correlate with the homedomain transcription factors and expand from this hub. The Wnt signaling pathways emerged as the major hub for genes up-regulated in rx3-/- mutants. The KEGG pathway annotation only associated wnt7ba, wnt7bb and ppp3ca with the Wnt signaling pathway. By interrogating the co-expression network and the literature, the Wnt signaling pathway modulated in rx3-/- mutants was extended to include dmrta2, fezf2, nr2e1, sox1b, foxg1a and emx3[11, 40].
To assess the connectivity of the genes deregulated in rx3-/- mutants, we performed a permutation test against randomly selected genes. The connectivity score is calculated as the average absolute value of correlation coefficient of any gene pairs in the selected gene set. Genes deregulated in rx3-/- mutants showed significantly higher connectivity (connectivity score 0.50) over randomly selected genes (Permutation p = 0.006) (Figure 4B).
The co-expression network indicates that Rx3 regulates optic vesicle morphogenesis through a complicated and highly modulated gene network. Genes in the center of such networks are usually coupled with more linkages to other genes in the network. Interestingly, the number of linkages shows a positive correlation with the fold change of gene expression between rx3-/- mutants and wild-type phenotype siblings (correlation coefficient r = 0.26) (Figure 4C). A plausible explanation is that Rx3 has a higher impact on genes in the center of the network (e.g. aldh1a3, mab21l2, rorb, rorab and vsx2), and then extends its regulation though these genes to the periphery of the network.
Temporal expression of Rx3-associated genes
The high connectivity of Rx3 regulated genes in the co-expression network indicates highly correlated gene expression during early eye development. However, little is known about the developmental expression of rx3 or temporal associations with its gene targets during optic vesicle morphogenesis. Thus we investigated the temporal expression profiles of the Rx3 associated genes using the aforementioned developmental data.
The timely onset of Rx3 is required to ensure optic vesicle separation from the telencephalon at the late gastrulation stage . As expected, the expression of rx3 peaks at late gastrulation and early-segmentation stages (~9 to 13 hpf) when optic vesicles start to enlarge (Figure 5A). Most of the genes deregulated in rx3 -/- mutants exhibit a modulation of gene expression levels after the onset of rx3. Hierarchical clustering analyses were performed to group the genes by temporal expression patterns. Genes were classified into three groups based on temporal expression correlations with rx3 (Figure 5A-D). Group 1 genes exhibit increasing expression after the onset of rx3 expression at 10 hpf. Group 1 includes the highest ranking down-regulated genes, such as the homeodomain transcription factors genes rx2, six6b, six7, hmx1 and vsx2, the retinoic acid-related receptor genes rorb and rorab. Up-regulated genes such as the Wnt signaling genes; wnt7ba, wnt7bb and ppp3ca, and p53 signaling pathway genes; igfbp3 and bai1, also belong to Group 1. Group 2 genes show additional temporal correlations with rx3 expression, having a waveform pattern peaking at 10–13 hpf. Group 2 includes the GTPase-activating protein, bcr (correlation coefficient r = 0.64). This synchronous pattern of gene expression indicates gene interaction, but to date no direct regulation of the Group 2 genes by Rx3 has been reported. Group 3 genes including ccdc90b, znf346, sdk1 and ehd4 show decreasing expression after 10 or 13 hpf i.e. after the onset of rx3.
To apply an independent temporal analysis of rx3-regulated genes, real-time PCR was performed on selected genes from 7 to 13 hpf (Figure 5C). The expression of rx3 peaked at 9 hpf when the neural plate forms  and is slightly reduced at 11 and 13 hpf, consistent with the RNA-seq observations (Figure 5A). Most genes (e.g. bcr, hmx1, rorb, rorab, six7 and vsx2) show gradual increases and higher expression after the onset of rx3 at 9 hpf, consistent again with the RNA-seq results (Figure 5A, C).
In summary, a majority of the analysed genes showed altered temporal gene expression around 9–13 hpf after the onset of rx3 at ~9 hpf. This indicates that the onset of rx3 is critical to ensure accurate expression at the stage when optic vesicles form. The analyses revealed cohorts of genes that i) are reduced in 13 hpf rx3 -/- mutants and whose expression is normally switched on after the onset of rx3 expression (e.g. rx2, six6b, six7); or ii) are increased in 13 hpf rx3 -/- mutants and whose expression normally is switched off during the onset of rx3 expression (e.g. wnt7bb, foxg1a, igfbp3). These cohorts represent genes putatively activated or repressed in a progressive specification manner by Rx3 (Figure 5D).
Identification of consensus Rx3-binding sites in differentially expressed genes
To estimate the probability of identifying RAX-binding sites randomly, we compared the enrichment of RAX-binding sites against 1000 times randomly selected genes. Both the proportion of genes with RAX-binding motifs and the number of RAX-binding motifs in the 5 kb promoter regions were determined in the deregulated genes and randomly selected genes (Figure 6B-C). A significantly higher proportion of genes with RAX-binding motifs were identified in the rx3 -/- up-regulated genes compared to the randomly selected genes (Permutation p < 0.1) (Figure 6B). Furthermore, significantly higher numbers of RAX-binding motifs were identified in the 5 kb promoter regions of both down- and up-regulated genes (Permutation p < 0.1) (Figure 6C). The presence of multiple binding sites for the same transcription factor can facilitate regulation of gene expression by increasing transcription factor binding affinity and providing functional redundancy . Thus, we further investigated the effect of number of multiple RAX-binding sites on the gene expression changes in the rx3 -/- mutants. Genes with higher number of RAX-binding motifs exhibited larger gene expression changes in the rx3 -/- mutants (one-tailed Wilcoxon rank sum p < 0.001) (Figure 6D). In summary, this analysis suggests genes significantly deregulated in rx3 -/- mutants are mostly enriched with multiple consensus Rx3-binding sites and potentially actively regulated by Rx3 at 13 hpf.
Model of Rx3 regulation during early development
Here we report, whole transcriptome sequencing of zebrafish rx3 -/- eyeless mutants, a model of human anophthalmia . Rx3 is a conserved transcription factor, whose orthologues are required for eye development in all vertebrates examined, including fish, frogs, mice and humans [2, 3, 9, 23, 44–46]. Here, we show that genes previously linked with microphthalmia, including aldh1a3, rx2, six6b, vsx2, and recently mab21l2 with anophthalmia , are constitutive elements of an Rx3-regulated gene network (Table 2, Figure 4). This proof-of-principle supports the contention that additional members of this network are candidate genes for congenital defects in human and animal eye development. In addition, these genes represent therapeutic targets as Rx genes can also promote retinal regeneration . Indeed, Rx-regulated genes can be applied to cell-based therapies, directing stem cells to retinal progenitor fates prior to transplantation .
Identification and validation of novel Rx3-regulated genes
Here, whole transcriptome mRNA sequencing (RNA-seq) was used to profile global gene expression changes in 13 hpf rx3 -/- mutants. This stage of eye development was selected as the earliest time point that optic vesicle evagination phenotypes could be detected reliably, and because it is only several hours after the onset of rx3 expression in the eye field . This experimental design was selected to concentrate analyses on the network of genes that are de-regulated shortly after the absence of functional Rx3 and not genes absent due to the later eyeless phenotype. For example, nr2e1 regulates later stages of eye development, consistent with its expression in brain regions at the 13 hpf optic vesicle stage and subsequent expression in the eye field from 19 hpf [50, 51]. We compared gene expression profiles of rx3-/- mutants versus wild-type phenotype siblings to identify potential Rx3 regulated genes. We considered wild-type phenotype siblings as a better control than wild-type AB strains, because both rx3-/- mutants and siblings originate from the AB zebrafish strain (chk w29 allele) by a mutagenesis screening. Our preliminary analyses suggest that normal phenotype siblings and rx3-/- mutants share >27,000 single nucleotide variations which are not found in wildtype AB fish (data not shown). This supports the appropriateness of comparing siblings to mutants.
Using whole embryos in the gene expression comparison offers a significant advantage in terms of consistency of tissue sampling to produce less varied data. However, if genes are expressed extensively in fields other than the morphologically affected tissues in rx3 -/- mutants (i.e. outside of eye or forebrain fields), differential changes in expression may be not be sufficiently detectable by RNA-seq. Extensive expression domains may explain why some known differentially expressed genes in rx3 -/- mutants identified by in situ hybridization were not confirmed by our whole transcriptome approach (such as epha4a or ephb4a) [18, 52, 53]. However, we did observe deregulation of some genes with known extensive expression domains (e.g. Table 1, netrin 1 [54, 55]).
Following bioinformatic analysis of the RNA-seq data, sixty-nine genes, or ~0.2% of known zebrafish genes, demonstrate a 1.5-fold or higher change in gene expression between 13 hpf wild-type phenotype siblings and rx3 -/- mutants (Figure 1). These differentially expressed genes represent both direct and indirect targets of Rx3. The presence of RAX-binding motifs as defined by a position weight matrix in the de-regulated genes was shown to further support the contention that some of the genetic network is directly regulated by Rx3 [8, 56]. The core of the RAX binding motif is a short sequence “TAATTA”, thus it is relatively common to find this sequence in the zebrafish genome (about 1 in every 4 kb). In order to estimate the possibility of finding RAX motifs by chance in the Rx3 regulated genes, a permutation test was performed. Indeed, an enrichment of putative RAX-binding sites was demonstrated in genes significantly deregulated in 13 hpf rx3 -/- mutants (Figure 6B). Genes with higher number of RAX-binding sites on promoter are more likely to be actively regulated by Rx3, and exhibit larger change of gene expression in the rx3 -/- mutants (Figure 6C, D). Rx binds to what is referred to as the PCE-1 element (photoreceptor conserved element-1), which is based on the TAAT homeodomain binding core sequence, in photoreceptor promoters to enhance gene expression [57–61]. The lack of a zebrafish Rx3-specific antibody hinders direct validation of these binding sites in the context of optic vesicle morphogenesis in vivo.
Quantitative real-time PCR (qRT-PCR) and/or in situ hybridisation validated the differential expression of mab21l2, rx2, hmx1, six6b, vsx2, aldh1a3 and rorb (Figure 2). These results highlight the accuracy and sensitivity of the RNA-seq dataset, which is comparable to qRT-PCR, the current standard quantitative method for profiling gene expression. Most of the Rx3-regulated eye field genes were only partially down-regulated, their residual expression being likely due to expression in domains outside of the eye field or partially reduced expression in the eye field due to redundant factors . For example, mab21l2 is not expressed in rx3 -/- mutant optic vesicles, but its expression in non-eye tissues (e.g. tectum) is unaffected, i.e. Rx3-independent . Similarly, rorab has a partial down-regulation in rx3-/- mutants but is also expressed in tissues beyond the eye . Interestingly rx1, which is expressed solely in the eye, is only slightly down-regulated in rx3 -/- mutants. This indicates that alternative regulators can remain in the eye field to specify retinal cells, but that rx3 is required for proper optic vesicle morphogenesis. Indeed, we confirmed that several other genes enriched for optic primordium expression, were not significantly deregulated in rx3 -/- mutants (e.g. arhgap32, exoc6, lrrtm1 and swap70) (Figure 2A, B) [27, 28]. In summary, these results support our conclusion that the 69 genes differentially expression in 13 hpf rx3 -/- mutants are indeed constituents of a genetic network deregulated shortly after the absence of Rx3 and not merely due to the morphological absence of the eye.
Rx3-regulated genetic network during early development
The recessive rx3 mutation causes an eyeless phenotype along with an expanded telencephalon [11, 13]. These morphological phenotypes are consistent with the molecular profile of gene set enrichment using GO and KEGG pathway databases. Genes down-regulated in rx3 -/- mutants are mainly involved in eye development, and the up-regulated genes are mainly involved in brain development (Figure 3). Specification of the eye field is controlled by a network of eye field transcription factors. The co-expression network built in this study provides insights to Rx3 directed gene interaction during early eye development. Genes deregulated in the rx3 -/- mutants show high levels of connectivity to each other (Figure 4B). Several homeodomain transcription factors (e.g. hmx1, rx2, vsx2) and retinoid-signaling genes (e.g. aldh1a3, rorab, rorb) are at the center of the network. These genes tend to change more dramatically in the absence of Rx3, thus are more highly regulated by Rx3 (Figure 4C). Through these hub genes, Rx3 may act indirectly to regulate more peripheral genes in the network . Homeodomain transcription factors have been shown to be expressed in the anterior region of the neural plate in vertebrates and have a dynamic, overlapping pattern of expression in the presumptive eye field in Xenopus laevis. They form a self-regulating feedback network that specifies the vertebrate eye field and include rx1, pax6, six3, lhx2, nr2e1 (tll) and six6 (optx2). Our analyses indicate that at least one paralog of all of these genes are deregulated in 13 hpf rx3 -/- mutants, e.g. rx2, pax6b, six3b, lhx2, nr2e1 and six6b are deregulated, whereas their paralogs do not show differential expression. Similarly, at this timepoint, the rorα paralog b, but not paralog a, is deregulated in rx3 -/- mutants (Additional file 2: Table S1). Thus, Rx3 differently regulates the expression of transcription factor paralogs indicating a sub-functionalization of the regulation and expression of these gene paralogs .
Structural eye malformations can be due to either an excess or deficiency of retinoids. Here, we show that Rx3 is required for normal expression levels of retinoic acid receptor related (RAR)-orphan receptors. Although referred to as orphan receptors, evidence supports rorb binding retinoic acid . Retinoic acid is derived from vitamin A by sequential oxidation steps, the generation of retinaldehyde by retinol dehydrogenases (RDH) and the synthesis of retinoic acid by retinaldehyde dehydrogenases (RALDH) . One of the two zebrafish raldh genes, aldh1a3, also has reduced expression in rx3 -/- mutants. This is consistent with the known role of retinoic acid in eye development including ano-/microphthalmia in humans and zebrafish due to defects in retinoic acid supply . For example, drug inhibition of the aldh1a3 enzyme produces zebrafish with a small eye phenotype [66, 67]. We propose that Rx3 is priming retinal progenitor cells to be responsive to retinoids including retinoic acid or other unidentified ligands for the subsequent optic cup stage of eye development. Loss of forebrain and eyes is most frequently observed upon overactivation of the Wnt/beta-catenin pathway [68–72]. Wnt-signaling deregulation has been described previously in rx3 -/- mutants, including up-regulation of both known positive and negative factors that affect Wnt signaling (emx3 and foxg1 respectively) [11, 15, 40, 73]. Our data expands on this to a larger cohort of upregulated genes that may lead to augmented Wnt signaling in parts of the forebrain, including the expanded telencephalon or diencephalon regions . As an example from our extended cohort, Wnt7ba/bb are reported to be expressed in diencephalon-telencephalon border at the 10-somite stage [40, 74].
Temporal expression profiling of genes significantly deregulated in rx3 -/- mutants revealed clusters of genes with synchronised temporal expression patterns (Figure 5). The majority of genes show altered gene expression profiles around the peak of rx3 expression, confirming its critical role in ensuring accurate expression at this stage of eye development. By examining public in situ hybridisation images, the earliest time points of robust detectable expression of rx2, hmx1, rorab and rorb are 10, 14, 12 and 16 hpf respectively, a few hours after the onset of rx3[19, 23, 77]. six7 begins its expression as early as 6 hpf . These observations are very consistent with the data from real-time PCR and RNA-seq in this study (Figure 5A, C). These genes gradually increase after the peak of rx3 expression, indicative of more downstream roles of Rx3 regulation.
In summary, Rx3 functions during the optic vesicle stage of development to enhance expression of transcription factors, in particular homeodomain genes, and retinoid-signaling genes, while also inhibiting brain specification pathways. Genes deregulated in the rx3-/- mutants showed enrichment of multiple RAX-binding motifs and high gene co-expression connectivity. We propose a model of eye development based on a complex gene network which allows for progressive steps of specification. This Rx3-regulated gene network supports a hierarchical expression of eye field transcription factors specifying early eye development.
Zebrafish husbandry and sample collection
Zebrafish were handled according to standard protocols and animals studies were approved by the University College Dublin Animal Research Ethics Committee (AREC-P-08-54). Heterozygous carriers of a recessive rx3 mutation (chk w29 allele) were mated. These fish originate from a mutagenesis screen performed in AB zebrafish as described in , and have an equivalent mutation as to chk s399 mutants  which were further described in . This mutation results in a premature stop codon at amino acid Y133 (Y133X) in the DNA-binding homeodomain of the rx3 gene. Pairwise matings were used to generate embryos which were pooled prior to sample collection. Offspring were grown to the 8-somite stage in embryo medium containing methylene blue at 28.5°C in 10 hour dark: 14 hour light cycle conditions, where the 8-somite stage is equivalent to 13 hpf under these conditions . The eyeless mutant (rx3 -/- ) and eyed sibling (morphologically wild type siblings consisting of an unknown ratio of wild-type rx3 +/+ and heterozygous rx3 +/- carriers, herein referred to as ‘normal or wild-type phenotype siblings’) samples were distinguished based on their morphology using a dissecting light microscope at the 8-somite stage. Three biological replicates were collected for each sample and one replicate of wild-type (AB strain) embryos at the same developmental stage was collected. Each replicate contained pools of 10 whole embryos. Samples were collected in RNAlater (Qiagen, Hilden, Germany) and stored at 4°C until processing. The RNeasy mini RNA extraction kit was used to isolate RNA, on-column DNaseI digestion was performed and RNA was collected in RNase-free water, as per manufacturer’s instructions (Qiagen, Hilden, Germany). A Nanodrop spectrophotometer (Beckman, USA) was used to determine the concentration of RNA and a Bioanalyser (Agilent, Santa Clara, USA) was used to confirm the RNA Integrity Number (RIN) of the samples as being between 8 and 8.8.
cDNA library generation and sequencing
Using 1 μg of total RNA, cDNA libraries were prepared using the mRNA-seq 8-Sample Prep Kit as per manufacturer’s instructions (Illumina, RS-100-0801). Briefly, poly-A containing mRNA molecules were purified using poly-T oligo-attached magnetic beads. Following purification, mRNA was fragmented to ~200 base pair fragments and cDNA generated with ligated adaptors. These products were purified and PCR enriched to create the final cDNA library. Single-Read Cluster Generation Kit v4 was used for cluster generation as per manufacturer’s instructions (Illumina, GD-103-4001). Briefly, cDNA library samples were bound to complementary adapter oligonucleotides grafted on the surface of the Illumina Genome Analyzer flow cell. The templates were copied from the hybridized primer by 3′ extension using a high fidelity DNA polymerase. The 36 Cycle Sequencing Kit v4 on the Genome Analyzer II X platform was used for sequencing (FC-104-4002). The phi X 174 (PhiX) bacteriophage genome DNA was used as a control lane to validate sequencing quality. Samples were sequenced to 42 bp. After 40 bp the sequencing quality at 3′ ends significantly decreased under the acceptable threshold of 20 and sequencing reads were therefore trimmed to 40 bp to ensure acceptable quality. RNA-seq data sets were uploaded to GEO with a series accession number GSE52652.
Reads alignment and genome annotation
RNA-seq reads were mapped to the zebrafish genome version 9 using TopHat  allowing 2 mismatches. TopHat can detect reads across exon splice junctions. Novel transcripts were assembled by Cufflinks using mapped reads . Novel transcripts less than 300 bp were discarded. A customized transcriptome was built by integrating known transcripts from RefSeq, Ensembl and GenBank (downloaded from the UCSC genome browser, February, 2011)  and novel transcripts assembled by Cufflinks. These transcripts were clustered into genes based on coding sequence (CDS) evidence using a revised protocol which we previously proposed . Firstly, transcripts with known CDS were clustered into genes by overlapping CDS. Then, transcripts without CDS definitions were clustered into these defined genes if they overlapped with these genes in transcribed regions. Transcripts without overlap to known genes were classified as novel genes. A total of 31,731 genes were defined using the combined set of transcripts. In order to predict function for novel genes, nucleotide sequences of the novel genes were searched against the NCBI nr database using BLASTX .
Counting reads and statistical analysis of RNA-seq data
RNA-seq reads were counted using HTSeq . Only genes having greater than 10 reads from replicate samples progressed to statistical analysis, leaving 21,267 genes. Gene expression level was calculated using the normalized value: reads per kilobase per million reads (RPKM) . Differentially expressed genes were selected using the Bioconductor package DEGSeq based on read counts following a Poisson distribution model . P-values from DEGSeq were corrected using the Bonferroni method. Differentially expressed genes were selected as fold change ≥ 1.5 or ≤ 2/3 with corrected p-value <0.001. Gene set enrichment analysis was performed for differentially expressed genes based on Fisher’s Exact Test. Gene Ontology (GO)  and KEGG pathway annotations  were downloaded for gene set annotation. In order to improve the zebrafish pathway annotation, KEGG pathway annotations of human homologs were combined with zebrafish annotations for pathway analysis. To study the association of zebrafish genes with human inherited diseases, NCBI OMIM databases were downloaded and human diseases with known causative genes were associated with their zebrafish homologs.
Identification of RX transcription factor binding motifs
A human RAX position weight matrix was downloaded from MatInspector (Genomatix, Germany). The core of the RAX binding motif is a short sequence “TAATTA”. 5 kb promoter sequences were downloaded for zebrafish genes using the UCSC genome browser . Consensus RAX binding sites were searched for on both strands of promoter sequences using Possumsearch with a threshold of 80% matrix similarity . In order to estimate the possibility of identifying the binding motifs randomly, permutations were performed by randomly selecting the same number of genes as the differentially expressed genes 1000 times. RAX binding sites were searched on the 5 kb promoter sequences of these randomly selected genes. P-values were obtained by counting the chance of obtaining equal or higher number of genes with RAX motifs on the promoter, or equal or higher number of motifs per gene promoter out of 1000 permutations.
cDNA was synthesised from independent biological replicates of 8-somite stage mutants and siblings by reverse transcription after priming with random hexamers using the Invitrogen Superscript III system. 200 – 500 ng RNA was used per sample. Real-time PCR was performed using Taqman probes as the reporter in the 18S rRNA control samples and SYBR Green as the reporter in all other reactions. Primer sequences for aldh1a3: forward GCCCATCGGTGTGTGCGGAG; reverse GGGTCTGCTCCGCCGGTTTG, for bcr: forward GCGTCCGGAGCGTGCAGAGTG; reverse GAGGCAACTGATGGACCGTCTGGAG, for exoc6: forward TGAAAACCATGGAGCAGCTA; reverse CTGTGCTTAAGCCGTTGTGA, for hmx1: forward AGCGGTTGTGCGGTTGACGA; reverse GGCTGAGCCGGGTTCGGAAG, for im:7150060/arhgap32: forward CCAGTTGCTTGTGATTAAAACCT; reverse AAGCCCAGTCAGTGCAACTT, for lrrtm1: forward AACACCCTTGAGTGGACCTG; reverse GTGTGGTTGCTTCCACATTG, for mab21l2: forward TCGGGCTGTAGGAAGAAATG; reverse TCTCTTGCCAGTCTCCAGGT, for rorab: forward TTAGCAGTGGGCATGTCAAG; reverse GAGGGCTGAATGTCCAGGTA, for rorb: forward AAGCAGAAGCCCTCGCTCGGG; reverse CACCGTTCGCCTGGCCCTTG, for rx2: forward CGATGCAGATTTGGGAGAC; reverse AGGCAGGTTGACTTTCATGG, for rx3: forward GTGGCCTGCCGTTAGAGCCC; reverse CGGCCTGCTGAGGGGTGATG, for six6b: forward TCGAACGGCTCGGTTCGGTC; reverse GCGGCTTTGCTGGACAGGGCT, for six7: forward GGCGGGAATTTCGAGGCGCT; reverse GCTCCGCCTCCCGGTAATGC, for swap70: forward CTGCTGGAGGAGGAAGTGTC; reverse CTGAATACTGAGAAAAGATCATCACC, for vsx2: forward AACGGGGGAAATAACAATCC; reverse CTGAGCTGGCAGACTGGTTA. A eukaryotic 18S rRNA probe (Applied Biosystems, 4310893E) served as an internal reference for normalisation. The initial cycle was 2 minutes at 50°C and 10 minutes at 95°C. Then the samples were cycled at 95°C for 15 seconds and 60°C for 1 minute. Ct values were normalized according to the lowest abundant sample. Student’s t-test was used to determine significance with a p-value <0.05.
Wholemount in situhybridisation
Expression of zebrafish genes (hmx1 and six7) was analyzed in rx3-/- mutants (chk w29 larvae) by wholemount in situ hybridization. six7 cDNA-containing plasmid was a gift from Professor Hee-Chan Seo’s lab . hmx1 cDNA-containing plasmid was a gift from Professor Andrew J. Waskiewicz’s lab . These plasmids were used to generate DIG-labelled probes. Embryos were fixed overnight at 4°C in 4% paraformaldehyde (PFA). In situ hybridization was performed on whole wild-type and mutant embryos as previously described .
Public zebrafish development RNA-seq data sets
Public zebrafish RNA-seq data sets from early developmental stages were downloaded from GEO with accession number GSE22830  and Sequence Read Archive ERP000400 . RNA-seq reads were aligned using Tophat  using the customized transcriptome built in this study as described above. RNA-seq reads were counted using HT-seq. RNA-seq data for wild type larva at 13 hpf from this study was incorporated with the public data sets. Read counts were transformed into RPKM values and quantile normalized. Biological replicates from the same developmental stages were averaged. Hierarchical clustering was performed using Euclidean distance with complete linkage. Gene co-expression groups were defined by cutting the hierarchical clustering trees.
Constructing a gene co-expression network
Gene correlation scores were calculated using normalized log2 transformed RPKM values from the public RNA-seq data sets and 13 hpf wild type larvae produced in this study. Correlation coefficients ≥0.95 or ≤ -0.95 were selected as showing high positive and negative co-expression. Genes showing high co-expression with at least one other gene were included in the co-expression network. The co-expression network was plotted using Cytoscape . In order to access the connectivity of deregulated genes, the connectivity score was calculated as average absolute value of correlation coefficients of any gene pairs of the selected gene set. Permutation test was performed to evaluate the significance of the connectivity of deregulated genes. The connectivity score of the same number of randomly selected genes was calculated. Permutation was performed 1000 times, and p-value was obtained by counting the chance of obtaining equal or higher connectivity score in the permutation.
Availability of supporting data
RNA-seq data sets in this study were uploaded to GEO with a series accession number GSE52652.
We would like to thank the UCD Conway Core Facility for RNA-seq facilities and expertise. We are also grateful to Dr. Beata Sapetto-Rebow and Sharon Sutton for technical assistance. We would like to thank Professor Hee-Chan Seo and Professor Andrew J. Waskiewicz for kindly providing the plasmids for our study. We would like to thank Prof. Deborah Stenkamp, Dr. Ian Jeffery, Dr. Justin Cotney and Dr. Laura DeMare for helpful inputs on the manuscript. We thank the Irish Research Council for Science Engineering and Technology (IRCSET) Graduate Education Programme (GREP), Biochemical Society Summer Vacation Studentship, Science Foundation Ireland Research Frontiers Project Grant 08/RFP/GEN1126 for funding support.
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