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Mouse Obox and Crxos modulate preimplantation transcriptional profiles revealing similarity between paralogous mouse and human homeobox genes
EvoDevo volume 9, Article number: 2 (2018)
ETCHbox genes are eutherian-specific homeobox genes expressed during preimplantation development at a time when the first cell lineage decisions are being made. The mouse has an unusual repertoire of ETCHbox genes with several gene families lost in evolution and the remaining two, Crxos and Obox, greatly divergent in sequence and number. Each has undergone duplication to give a double homeodomain Crxos locus and a large cluster of over 60 Obox loci. The gene content differences between species raise important questions about how evolution can tolerate loss of genes implicated in key developmental events.
We find that Crxos internal duplication occurred in the mouse lineage, while Obox duplication was stepwise, generating subgroups with distinct sequence and expression. Ectopic expression of three Obox genes and a Crxos transcript in primary mouse embryonic cells followed by transcriptome sequencing allowed investigation into their functional roles. We find distinct transcriptomic influences for different Obox subgroups and Crxos, including modulation of genes related to zygotic genome activation and preparation for blastocyst formation. Comparison with similar experiments performed using human homeobox genes reveals striking overlap between genes downstream of mouse Crxos and genes downstream of human ARGFX.
Mouse Crxos and human ARGFX homeobox genes are paralogous rather than orthologous, yet they have evolved to regulate a common set of genes. This suggests there was compensation of function alongside gene loss through co-option of a different locus. Functional compensation by non-orthologous genes with dissimilar sequences is unusual but may indicate underlying distributed robustness. Compensation may be driven by the strong evolutionary pressure for successful early embryo development.
Members of the homeobox superclass are widespread across eukaryotes, and their encoded proteins function mainly as transcription factors . The proteins contain a DNA-binding domain known as the homeodomain which is highly variable at the primary sequence level. In animals, homeobox genes can be assigned to eleven classes, containing ~ 100 gene families in humans . The largest homeobox gene class in animals is the ANTP class, with the PRD class being second largest. Some homeobox genes are highly conserved throughout animals; others, such as the mammalian X-linked Rhox cluster, have been evolving rapidly through duplication and sequence divergence . Some homeobox gene families have been lost from certain evolutionary lineages secondarily [3, 4].
Ten years ago, several PRD class homeobox genes with highly divergent sequences were identified in the human genome (TPRX1, TPRX2, DPRX, LEUTX and ARGFX); it is now known that these are specific to eutherian mammals and arose through duplication of an Otx family gene Crx [4,5,6,7]. Each of these genes has expression limited to the germ line and early embryos in humans, and collectively they have been named Eutherian Totipotent Cell Homeobox (ETCHbox) genes [5, 7, 8]. Ectopic expression of several human ETCHbox genes revealed roles in transcriptional regulation of genes that have a peak of expression in the eight-cell embryo and morula stage, around the time of embryo compaction and following embryonic genome activation in humans [7, 9].
Until recently, these genes were thought to be lost from the mouse genome due to the absence of genes with highly similar homeobox sequences to human ETCHbox genes. The genomic regions syntenic to TPRX1 and TPRX2, flanking the Crx gene on mouse chromosome 7, contain homeobox genes, but these are so distinct in sequence from the human genes that it was hypothesised they had arisen through independent tandem gene duplications in mouse ancestry [4, 10]. Each of these mouse genes, Crx-opposite strand (Crxos)  and oocyte-specific homeobox (Obox), have also undergone additional tandem duplication events not evident at the human locus. However, with increased sampling of rodents, the long phylogenetic branch lengths leading to Crxos and Obox could be broken and the mouse genes were shown to be highly divergent orthologues of TPRX1 and TPRX2, respectively . The mouse genome has no orthologous homeobox genes in loci syntenic to any other ETCHbox gene (Fig. 1; ). This unique genome organisation is quite different from human and most other mammals and raises important questions about the function of these genes in the mouse. For example, does extensive sequence divergence of the mouse genes imply they have acquired distinct functions from their human orthologues? What is the functional consequence of secondary duplications experienced by these genes in mice? With loss of Dprx, Leutx, Pargfx and Argfx in mice, have any compensatory mechanisms evolved such that Crxos or Obox genes take over the function of the lost genes?
Previous studies of mouse Crxos revealed that the locus gives rise to three distinct transcripts: a long transcript encompassing the two duplicate genes (and two homeoboxes) and one transcript from each duplicate. The complete Crxos locus has six exons with homeobox sequences spanning exons 2–3, and 5–6. The long transcript consists of exons 1, 2, 3 (partially), 5 and 6, with the shorter transcripts containing either exons 1, 2 and 3, or exons 4, 5 and 6 [12, 13]. Experiments involving ectopic expression in embryonic stem cells followed by quantification of candidate downstream targets have suggested that Crxos is involved in cell pluripotency with each shorter variant inhibiting differentiation markers [13,14,15]. Furthermore, an RNAi screen has identified Crxos as important for correct formation of the inner cell mass in the blastocyst and for hatching and outgrowth . Another study has suggested that the long isoform is involved in specifying the primitive endoderm lineage .
The Obox genes were initially described as transcripts in unfertilised mouse eggs , and expression has now been reported throughout early murine development [19, 20]. Secondary duplication of Obox genes generated multiple loci. In a recent genome assembly (GRCm38/mm10), an array of five Obox loci is annotated, Obox1, Obox2, Obox3, Obox5 and Obox6, with an additional locus Obox7 given ‘provisional’ status. Previously, Obox4 was annotated, but this is now listed as a ‘partial’ and unplaced annotation. Cheng et al.  showed that Obox1 and Obox2 have high sequence similarity and suggested they have the same expression pattern in the preimplantation embryo; they also found that Obox1/2, Obox3 and Obox5 are most highly expressed in the one-cell stage embryo with expression decreasing until no expression is detected in the morula. The Obox6 locus, in contrast, has elevated expression between the two-cell and morula stages. When Obox6 was knocked out in mice by homologous recombination, offspring exhibited normal development and were fertile . More recent genome exploration has revealed that the Obox duplications were far more extensive than previously recognised and have generated over 60 distinct loci . Not all loci have complete homeobox sequences, but it is clear that the diversity of Obox genes had been vastly underestimated. This raises new questions regarding the function of the Obox cluster in the light of these extensive duplications.
In this study, we use ectopic expression and transcriptomic analysis to investigate the function of mouse ETCHbox genes (Crxos and Obox). Our goals were to investigate whether these divergent genes have similar or distinct developmental functions to their human homologues, and whether Crxos or Obox genes have taken over roles associated with ETCHbox genes secondarily lost in mouse evolution. We find that ectopic expression of Crxos or Obox genes in cultured mouse embryonic fibroblasts induces large transcriptomic changes which can be related to notable events in the preimplantation embryo. We also argue that Crxos functions have evolved to compensate partially for loss of the Argfx homeobox gene.
Sequence and expression diversity within expanded mouse ETCHbox clusters
The orthologues of both TPRX1 (Crxos) and TPRX2 (Obox) genes are duplicated in mouse. We previously identified 67 Obox loci (including pseudogenes) clustered on chromosome 7 in the region syntenic to the TPRX2 locus in humans . To investigate the pathway of duplication and search for groupings of highly similar loci, we conducted phylogenetic analyses using Obox nucleotide sequences (Additional files 1A and 2). One locus previously identified was found to not contain a homeodomain or high sequence similarity to annotated Obox genes. This sequence was therefore disregarded resulting in a total of 66 loci. Phylogenetic analysis revealed three main categories, named here OboxA, OboxB and OboxD (Additional file 1A) containing 13, 26 and 26 loci, respectively, arranged in an interspersed manner (Additional file 1B). These include putatively functional loci and pseudogenes. Since there are many more loci than previously named, we propose a new Obox nomenclature system based on DNA sequence (see Additional file 1C). We identify one additional locus that does not fit within these main groups, Oboxc.
Of these 66 Obox loci, we suggest that 28 have potential to be translated into protein sequences with a full homeodomain (Additional file 2). These deduced protein sequences were then used in a second phylogenetic analysis which indicated three subgroups within the OboxA group (Table 1; Fig. 2b; Additional file 1D). Analysis of RNA sequencing data from preimplantation mouse embryos revealed that temporal expression is similar within Obox groups or subgroups, but can be subtly different between them (Fig. 2b). Expression of the vast majority loci within the OboxD group was not detected in the early embryo, with the exception of Oboxd10 which shows low-level expression (FPKM 4.09) at the two-cell stage (Table 1). Overall, we identified four expression profiles: oocyte to two cell (OboxAb), two cell to four cell (OboxAa, OboxB), two cell to eight cell (OboxC) and two cell to blastocyst (OboxAc) (Fig. 2b). The observed expression patterns for Oboxa1, Oboxa2, Oboxa3, Oboxa4 and Oboxa6 are consistent with previous studies [18,19,20]. Based on sequence and expression similarity, we hypothesise there is likely to be functional redundancy within, but not usually between, Obox groups and subgroups.
The murine gene Crxos, orthologous to human TPRX1, has duplicated in tandem with the locus generating three distinct transcripts (Fig. 2a). To date the duplication, we used a conserved domain search to examine the genomic region between Crx and Sepw1 loci (the location of TPRX1/Crxos) for homeobox sequences. In cow (Bos taurus), guinea pig (Cavia porcellus), naked mole rat (Heterocephalus glaber) and brown rat (Rattus norvegicus), only one homeobox was found (Fig. 2a, Additional file 1E), although R. norvegicus has an apparently independent duplication of the region containing extra copies of both Crxos and Sepw1. In contrast, using TBLASTN in the Algerian mouse (Mus spretus, Jackson laboratory strain #001146), we found two homeobox sequences and regions homologous to all M. musculus exons (Additional file 1E and F). These data reveal that the internal duplication to generate a double-homeobox Crxos gene occurred in the ancestry of the Mus genus after the split of the mouse and rat lineages.
Analysis of RNA sequencing data from mouse preimplantation embryos revealed that the 3′ single-homeobox Crxos transcript has higher expression than the 5′ single-homeobox transcript, although the temporal profile is the same (Fig. 2c). The 3′ Crxos transcript has also been previously reported to encode sequences essential for nuclear localisation of the protein .
Ectopic expression of Crxos and Obox genes induces transcriptomic changes
As homeobox genes encode transcription factors, we asked whether ectopic expression of mouse ETCHbox genes could induce transcriptional changes and how such changes are related to possible in vivo roles. Due to the complex genomic organisation, we used the above evolutionary analyses to inform the choice of genes. We selected three Obox genes with different expression patterns and from different subgroups to test the hypothesis that genes from different subgroups have distinct activities. We also selected the 3′ Crxos single homeodomain transcript as the most highly expressed splice variant of Crxos; this will now be referred to as ‘Crxos’ throughout.
We expressed ectopically Oboxa1 (subgroup OboxAc, Obox6 in earlier nomenclature), Oboxa4 (subgroup OboxAb, formerly Obox1), Oboxa7 (subgroup OboxAa) or Crxos under a constitutive promoter in primary mouse embryonic fibroblasts and assayed transcriptome-wide effects through RNA sequencing. In each case, we determined catalogues of genes that were up- or down-regulated 48 h after ectopic expression (Additional file 3). These catalogues could include direct and indirect targets. To identify embryonic processes potentially influenced by Crxos, Oboxa1, Oboxa4, and Oboxa7, we examined whether each catalogue of up- or down-regulated genes had overlap with defined ‘temporal expression profiles’ (these are sets of genes grouped on the basis of expression pattern in mouse preimplantation development; shown in Additional files 1G and 4). We also used gene ontology (GO terms) to provide further functional information on groups of genes. The numbers of genes affected significantly by each treatment, and the overlaps between experiments are shown in Additional file 1H.
Crxos up- and down-regulated profiles
The catalogue of genes down-regulated following Crxos ectopic expression is enriched in genes from a single temporal expression profile, number 5 (Fisher’s test p = 0.0007; Fig. 3a, Additional file 5). Profile 5 contains genes with high levels of mRNA in the oocyte, which decrease as development proceeds (Fig. 3a). Genes up-regulated by Crxos ectopic expression are enriched for genes in profile 59 (Fisher’s test p = 0.02, Additional file 5) composed of genes with a sharp peak of expression in the two-cell embryo, then lower expression from four cell to morula, before a second, larger expression peak in blastocyst. There is also enrichment for profile 216, but this profile is not consistent with normal Crxos expression so may be off-target. Given that expression of Crxos begins in the two-cell embryo and extends to the blastocyst, we suggest that the second, larger peak of expression in profile 59 includes in vivo downstream targets of Crxos (Fig. 3a). Together, these results suggest that when Crxos transcription is initiated in the two-cell stage, it serves a role in preparing the embryo for blastocyst formation.
Obox up- and down-regulated profiles
The catalogue of genes up-regulated by ectopic expression of Oboxa1, Oboxa4 or Oboxa7 showed extensive overlap. Each of these Obox genes elicited higher expression of genes found within temporal expression profile 101 (Oboxa1 p = 0.007, Oboxa4 p = 0.005, Oboxa7 p = 0.001; Fig. 3b, Additional file 5). In mouse development, genes in profile 101 are not expressed during the earliest stages of preimplantation development but show a sharp pulse of expression at the eight-cell stage. These genes are likely to have roles before the earliest cell fate decisions. The finding that three Obox genes, but not Crxos, elicit increased expression of similar sets of genes may be a consequence of the three closely related Obox proteins activating target genes through recognition of the same enhancer motifs . Thus, after ectopic expression, an Obox gene may up-regulate targets usually regulated by a different Obox gene. Considering the expression profiles of Oboxa1, Oboxa4 and Oboxa7, we suggest that genes within profile 101 are possible in vivo downstream targets of Oboxa1 (OboxAc subclass) or Oboxa7 (OboxAa subclass).
Considered across all temporal profiles, the three Obox genes examined up-regulate a common set of 343 genes and down-regulate a common set of 268 genes (Fig. 4). GO analysis reveals extracellular matrix (p = 4.9 × 10−33) and focal adhesion (p = 7.2 × 10−8) as enriched functions among the commonly up-regulated genes, and DNA replication (p = 1.7 × 10−5) enriched among the down-regulated genes (Additional file 1I).
The comparison of all downstream genes also reveals that ectopic expression of Oboxa4 has the most distinct effects of the three Obox genes tested, affecting more than 600 genes not significantly affected by the other Obox genes (Fig. 4). The distinctiveness of Oboxa4 is also evident at the level of temporal profiles. In addition to the shared profile 101, genes up-regulated following ectopic expression of Oboxa4 were enriched for three further temporal profiles: 216, 219 and 226 (Fig. 3C, Additional file 5). The first two of these comprise genes with in vivo expression peaks in the zygote and two-cell embryo. Since Oboxa4 is predominantly expressed as a maternal transcript, these profiles are consistent with being downstream in vivo direct or indirect targets (Fig. 3c). Genes down-regulated following Oboxa4 ectopic expression are significantly enriched for six expression profiles, each of which has an mRNA peak after zygotic genome activation (ZGA; ): profiles 202, 84, 79, 124, 149, 129; collective Fisher’s test p = 2.7 × 10−13 (Fig. 3b, Additional file 5). These profiles, therefore, are consistent with being negatively regulated downstream in vivo targets, with maternal Oboxa4 suppressing expression until after ZGA. A gene ontology (GO) analysis of the regulated genes in these profiles shows enrichment for ribosome biogenesis functions (p < 0.001). Profile 219 is also enriched in the genes up-regulated downstream of Oboxa1, although considering the temporal expression of Oboxa1 in the embryo this is more likely to be an in vivo target of Oboxa4 (Fig. 3c).
Comparison between human and mouse ETCHbox gene functions
The evolutionary loss of Argfx, Leutx and Dprx ETCHbox genes in mouse, and duplication of the remaining Tprx1 and Tprx2 genes, raises questions about functional similarities and differences between mouse and human. We compared the sets of genes significantly up- and down-regulated after ectopic expression of human TPRX1, ARGFX, DPRX and LEUTX  with each of the gene sets up- or down-regulated by mouse Crxos, Oboxa1, Oboxa4 and Oboxa7. Two of these comparisons revealed striking overlap (Fig. 5a; Additional files 6 and 7). We found that for 96 of the genes up-regulated by ARGFX in human cells, their mouse orthologues were also up-regulated by Crxos in mouse cells (Fig. 5b; Fisher’s test p = 3 × 10−52; Additional file 7). Similarly, the set of genes down-regulated by ARGFX in human cells showed significant similarity to the set of genes down-regulated by Crxos in mouse cells (Fig. 5b; 125 one-to-one orthologues, p = 2.4 × 10−102; Additional file 7). Of these, 98% of the jointly down-regulated orthologues are expressed in the mouse preimplantation embryo, as are 50% of the jointly up-regulated genes. These data suggest close similarity of function between human ARGFX and mouse Crxos, despite these being non-orthologous proteins. The direct orthologue of mouse Crxos is human TPRX1, not ARGFX; these orthologous genes seem to have contrasting functions following ectopic expression since many genes down-regulated by Crxos over-expression are up-regulated by TPRX1 (p = 1.58−36; Additional file 6). There are also additional significant overlaps observed between genes (Fig. 5a), suggesting further overlapping functions of human and mouse ETCHbox genes.
Targets with strong response are associated with embryonic milestones
The analysis of function using temporal gene profiles pays equal attention to genes with low and high expression and does not distinguish between mildly or strongly up- and down-regulated targets. We therefore asked which target genes were most strongly affected by ectopic expression of mouse Crxos and Obox genes (highest fold change up-regulated in Table 2; highest fold change down-regulated Additional file 1J). Three of the 10 most strongly up-regulated genes following Crxos ectopic expression have functions related to the extracellular matrix (ECM). Similarly, when ordered by fold change, three of the genes up-regulated most strongly following Oboxa1 and Oboxa4 ectopic expression are ECM components or function as mediators of ECM communication: Col8a2 (Oboxa1 and Oboxa4), Eln (Oboxa1 and Oboxa4), Egfl6 (Oboxa1) and Aoc3 (Oboxa4).
The most strongly down-regulated genes have functions in processes distinct from the up-regulated genes (Additional file 1J). Among the top 10 down-regulated genes following Oboxa1 ectopic expression is Sox2, a transcription factor involved in specification of the inner cell mass of the blastocyst and deployed in iPS cell production as one of the Yamanaka factors . Similarly, a gene strongly down-regulated after Crxos ectopic expression is implicated in trophectoderm specification and development, Slco2a1 (log2 fold change of − 0.94) [24, 25]. The effect of ectopic ETCHbox expression on other genes with known roles in preimplantation development is given in Additional file 1K.
Mammalian preimplantation development encompasses several processes common to a wide range of species, such as generation of a hollow blastocyst and implantation into maternal endometrial tissue. Mice have long been used judiciously as models for human embryogenesis [26,27,28,29], with caution urged about extrapolation between species . Furthermore, consistent with the hourglass model which describes propensity for evolutionary change early and late in development, transcriptomic analyses have highlighted variation in the earliest stages of development between different mammalian species [31, 32]. Similarly, several of the ETCHbox genes implicated in regulation of human preimplantation gene expression have been secondarily lost in mice . These findings raise questions about how far pathways and regulatory networks discovered in mice can be applied to human preimplantation development and vice versa. We have studied the mouse ETCHbox genes which, like their human orthologues, are expressed specifically in the preimplantation embryo but which have very different numbers and genomic composition to humans. Extensive gene loss, sequence divergence and duplication of the remaining genes in mouse allowed us to investigate how differences at the genomic level relate to species-specific differences or similarities in preimplantation development.
In mouse, four of the six ancestral ETCHbox gene families have been lost leaving orthologues of just Tprx1 and Trpx2. The mouse Crxos gene is the orthologue of human TPRX1. Crxos has duplicated and is processed to give three transcripts with common temporal expression profiles in the preimplantation mouse embryo. The 66 Obox loci are orthologous to human TPRX2 and can be divided into four groups and six subgroups, with expression profiles mirroring molecular phylogenetic classification. The concordance between sequence and expression suggests there may be functional redundancy within Obox subgroups during preimplantation mouse development.
To investigate downstream activities and functional similarity to human genes, we ectopically expressed three Obox genes from different subgroups and the most highly expressed Crxos transcript in mouse embryonic fibroblasts. It could be argued that these cell types are very different from cells of the preimplantation embryo, but to conduct evolutionarily meaningful comparisons with data previously obtained using human fibroblasts  it is important to use comparable cell types. Additionally, ectopic expression of ETCHbox genes in primary cells is comparable to reprogramming experiments, which commonly use primary fibroblasts as the initial cell population.
We found that each of the genes elicited transcriptomic changes related to gene expression profiles of preimplantation stages, suggesting we have partially recapitulated the in vivo roles of mouse ETCHbox genes. For example, we find that over-expression of Crxos modifies the transcriptome of embryonic fibroblasts to partially mimic the transcriptome of the blastocyst, down-regulating transcripts that fall in abundance during cleavage stages and up-regulating genes with a blastocyst peak. These results are exciting since the blastocyst is composed of the descendent cell types from the first cell lineage decision: trophectoderm and pluripotent inner cell mass. It is also the time when the embryonic secretome communicates with maternal tissue before subsequent blastocyst invasion into the endoderm . A role in formation of these cell types is emphasised by the finding that orthologues of the genes most strongly up-regulated by Crxos are implicated in implantation in human development: Apod and Serpina3 (Table 2).
Similarly, over-expression of Oboxa4 caused transcriptomic changes mirroring those of the early embryo. Oboxa4 is expressed maternally in the oocyte, and high levels of RNA are detected in the zygote. Ectopic expression of this gene caused down-regulation of genes that are not detectable as RNA in the earliest developmental stages, and up-regulation of those that are. In mouse ontogeny, zygotic genome activation (ZGA) is initiated earlier than in humans, with an early major wave of activation at the 2-cell stage and further waves of activation occurring until the morula stage . The expression profiles of genes downstream of Oboxa4 suggest that it may have a role in delaying or suppressing expression of embryonic genes, affecting timing of ZGA (Fig. 6).
For all Obox genes tested, we detect evidence of regulation of genes expressed in the eight-cell embryo and thus substantially earlier than the effect driven by Crxos ectopic expression. However, because this effect is seen for three different Obox genes, this may partially reflect cross-regulation between targets of closely related genes. On the basis of the normal expression profiles of Obox genes, we suggest the common effect is most likely to reflect in vivo function of Oboxa1 or Oboxa7 (Table 1). The eight-cell stage of mouse development, when many putative Obox target genes are expressed, is a particularly interesting developmental period. At this stage, the cells of the embryo increase their cell–cell contacts and elongate, and the embryo compacts in a critical morphological change which prepares the embryo for implantation (Fig. 6) [34,35,36]. Functions of genes affected include interactions with the ECM, adhesion to the external environment and DNA replication.
One of the most striking findings of this study was the discovery of highly significant overlap between the set of genes up- and down-regulated by ectopic mouse ETCHbox genes with the set of genes affected by ectopic expression of human ETCHbox genes. We find many comparisons show significant overlaps (Fig. 5a), which may reflect widespread overlapping functions between the majority of ETCHbox genes. Most notably, many of the inferred downstream targets of Crxos in mouse are orthologous to the inferred downstream targets of ARGFX in human (96 orthologues commonly up-regulated, 125 commonly down-regulated). Much smaller overlap was detected for other pairs of mouse and human ETCHbox genes. There are differences between the biological activities of the two genes, however. For example, expressing ARGFX in human fibroblasts induced transcriptional changes that mirror a pulse of expression in the eight-cell human embryo . In contrast, Crxos-induced transcriptional changes more closely parallel changes occurring at the blastocyst stage. Furthermore, Crxos has broader expression in mouse preimplantation development than does ARGFX in human. Together, these data suggest that before or after the loss of ARGFX in murid evolution, the Crxos gene took over roles originally undertaken by ARGFX and has also acquired additional targets and biological functions (Fig. 7). It is particularly intriguing that this functional compensation involved deployment of a paralogous rather than an orthologous homeobox gene. Indeed, Crxos seems to have contrasting transcriptomic effects to its direct orthologue TPRX1, with significant overlap between genes down-regulated by Crxos and those up-regulated by TPRX1 (p = 1.58−36, Additional file 7).
The convergence of function between human and mouse ETCHbox genes provides an intriguing example of compensation and refinement of gene function alongside dynamic lineage-specific gene loss and expansions (Fig. 7). Such compensation would be favoured if the system displays ‘distributed robustness’ as defined by Wagner . Under this model, individual genes may have overlapping rather than redundant functions, such that collectively the system has multiple routes to achieve the same endpoints. Extrapolating, we suggest that a variable set of ETCHbox genes regulates a suite of functions in eutherian preimplantation embryos that are shared between species, regardless of the particular repertoire of ETCHbox genes retained in a genome.
The evolutionary history of ETCHbox genes, with extensive gene duplication, loss and sequence change during mammalian radiation, contrasts sharply to that of most other homeobox genes. We show that ectopic expression of these genes in mouse embryonic fibroblasts elicits transcriptomic changes that mirror transcriptomic changes in early development. For example, the maternally expressed Oboxa4 gene can reduce expression of genes normally active after ZGA, other Obox genes elevate expression of genes that peak at the eight-cell stage, and Crxos expression causes transcriptomic changes mirroring pre-blastocyst development. Most strikingly, we find close similarity between the genes downstream of mouse Crxos and human ARGFX, despite these not being orthologous homeobox genes. These results point to an evolutionarily labile system where a set of regulatory genes can duplicate and be lost in evolution, but shift functionally to compensate for gene loss. Functional replacement by a paralogous gene might be favoured when evolution builds an inherently redundant system to ensure the robustness of critical developmental events.
Embryonic expression and phylogenetic analyses
To examine endogenous expression patterns, RNA sequencing files were acquired from the SRA database (SRA identifier SRP034543; Additional file 8) and aligned to the GRCm38/mm10 M. musculus genome using the STAR alignment tool . The Cufflinks tool was used to extract FPKM expression values (Additional file 9). To investigate evolutionary relationships between genes, maximum likelihood phylogenies were generated from nucleotide or deduced amino acid sequences using RAxML with 500 bootstraps .
Ectopic gene expression
Mouse embryonic fibroblasts (Sciencell #M7540-57) were cultured in Dulbecco’s modified Eagle medium (DMEM, ThermoFisher #41966-029) supplemented with 10% foetal calf serum (FCS) and 1% Pen–Strep in 5% CO2 at 37 °C on 0.001% poly-l-lysine-coated plasticware. Coding sequences of Oboxa1, Oboxa4, Oboxa7 and Crxos were obtained from GenScript and cloned into a vector co-expressing daGFP; genes were C-terminally tagged with V5 and under control of a CMV promoter (Oxford Genetics #OG244). For ectopic expression, 106 cells in 100 µl Opti-Mem (Gibco 11058-021) were electroporated (NEPA GENE; poring pulse: 175 volts, 5 ms, 4 pulses) with 10 µg of plasmid DNA and seeded in DMEM, 10% FCS, 1% Pen–Strep antibiotic (ThermoFisher #15140-122). Media was changed after 24 h and cells collected for FACS sorting after 48 h to enrich for transfected cells. RNA was extracted using the RNeasy microkit (Qiagen) and quality checked on an Experion electrophoresis station (Bio-Rad). RNA sequencing was performed on three replicates from each experimental condition and control (empty vector transfection); libraries were prepared using Illumina TruSeq, and paired-end RNA sequencing reads generated on the Hi-Seq 4000 platform (Oxford Genomics Centre), yielding 38.2–58.2 million reads per sample. Sequence reads were aligned to the GRCm38/mm10 Mus musculus genome using the STAR alignment tool, and gene expression levels for protein-coding genes assessed according to NCBI annotations (ftp://ftp.ncbi.nlm.nih.gov/genomes/Mus_musculus/ accessed 13 July 2016, FPKM read-outs in Additional file 9). The ectopically expressed genes were expressed at a level (assessed by FPKM) comparable to their embryonic expression levels (Additional file 1L).
Differential gene expression analysis
DESeq2 was used to identify genes differentially expressed in response to homeobox gene transfection following FeatureCounts to retrieve raw read counts (Additional file 10) . Experiments were matched by date to minimise the effects of day-to-day variation. The Cufflinks tool was used to estimate mean FPKM expression values (Additional file 11). Lists of up- and down-regulated genes for each experimental condition were produced using criteria of p < 0.05 (with Benjamini–Hochberg correction) and expression fold change greater than 1.25 or − 1.25 (Additional file 3). Transcripts with an FPKM > 2 were considered to be actively expressed.
To generate sets of genes with similar temporal expression profiles across preimplantation mouse development (oocyte, zygote, two cell, four cell, eight cell, morula and blastocyst), we took mouse RNAseq data processed as above, filtered to identify genes with a FPKM variance > 5 across preimplantation development, and clustered these into profiles using Mfuzz [41, 42]. This analysis generated 150 initial temporal profiles of gene expression. Sets of profiles with a correlation coefficient of over 0.95 were merged into composite clusters which are identified by IDs > 200 (Additional files 1G and 4). When high correlation coefficients were not all reciprocal within a set of profiles, an expression dendrogram was used to guide the process of merging.
Pearson’s Chi-square test was used to test the null hypothesis that the number of differentially expressed genes is proportional across all temporal profiles. If the proportions are not equal between profiles (p < 0.05), Pearson’s statistic was used to identify the contribution of each profile to the overall difference. After removal of profiles inferred to contribute to the difference, Fisher’s exact test was used to verify that the differentially expressed genes were proportionally distributed between the remaining profiles and to find statistical difference between occupation of enriched and non-enriched profiles.
Dulbecco’s modified Eagle medium
fluorescence-activated cell sorting
foetal calf serum
fragments per kilobase of transcript per million mapped reads
National Center for Biotechnology Information
sequence read archive
zygotic genome activation
Holland PWH. Evolution of homeobox genes. Wiley Interdiscip Rev Dev Biol. 2013. https://doi.org/10.1002/wdev.78.
MacLean JA II, Chen MA, Wayne CM, Bruce SR, Rao M, Meistrich ML, Macleod C, Wilkinson MF. Rhox: a new homeobox gene cluster. Cell Press. 2005. https://doi.org/10.1016/j.cell.2004.12.022.
Tsai IJ, Zarowiecki M, Holroyd N, Garciarrubio A, Sanchez-Flores A, Brooks KL, Tracey A, Bobes RJ, Fragoso G, Sciutto E, Aslett M, Beasley H, Bennett HM, Cai J, Camicia F, Clark R, Cucher M, De Silva N, Day TA, Deplazes P, Estrada K, Fernandez C, Holland PWH. The genomes of four tapeworm species reveal adaptations to parasitism. Nature. 2013. https://doi.org/10.1038/nature12031.
Zhong Y, Holland PWH. The dynamics of vertebrate homeobox gene evolution: gain and loss of genes in mouse and human lineages. BMC Evol Biol. 2011. https://doi.org/10.1186/1471-2148-11-169.
Booth HAF, Holland PWH. Annotation, nomenclature and evolution of four novel homeobox genes expressed in the human germ line. Gene. 2007. https://doi.org/10.1016/j.gene.2006.07.034.
Holland PWH, Booth HAF, Bruford EA. Classification and nomenclature of all human homeobox genes. BMC Biol. 2007. https://doi.org/10.1186/1741-7007-5-47.
Maeso I, Dunwell TL, Wyatt CDR, Marlétaz F, Vetö B, Bernal JA, Quah S, Irimia M, Holland PWH. Evolutionary origin and functional divergence of totipotent cell homeobox genes in eutherian mammals. BMC Biol. 2016. https://doi.org/10.1186/s12915-016-0267-0.
Töhönen V, Katayama S, Vesterlund L, Jouhilahti EM, Sheikhi M, Madissoon E, Filippini-Cattaneo G, Jaconi M, Johnsson A, Bürglin TR, Linnarsson S, Hovatta O, Kere J. Novel PRD-like homeodomain transcription factors and retrotransposon elements in early human development. Nat Commun. 2015. https://doi.org/10.1038/ncomms9207.
Madissoon E, Jouhilahti EM, Vesterlund L, Töhönen V, Krjutškov K, Petropoulos S, Einarsdottir E, Linnarsson S, Lanner F, Mânsson R, Hovatta O, Bürglin TR, Katayama S, Kere J. Characterization and target genes of nine human PRD-like homeobox domain genes expressed exclusively in early embryos. Sci Rep. 2016. https://doi.org/10.1038/srep28995.
Wilming LG, Boychenko V, Harrow JL. Comprehensive comparative homeobox gene annotation in human and mouse. Database (Oxford). 2015. https://doi.org/10.1093/database/bav091.
Alfano G, Vitiello C, Caccioppoli C, Caramico T, Carola A, Szego MJ, McInnes RR, Auricchio A, Banfi S. Natural antisense transcripts associated with genes involved in eye development. Hum Mol Genet. 2005. https://doi.org/10.1093/hmg/ddi084.
Saito R, Yamasaki T, Nagai Y, Wu J, Kajiho H, Yokoi T, Noda E, Nishina S, Niwa H, Azuma N, Katada T, Nishina H. Crxos maintains the self-renewal capacity of murine embryonic stem cells. BBRC. 2009. https://doi.org/10.1016/j.bbrc.2009.09.118.
Saito K, Abe H, Nakazawa M, Irokawa E, Watanabe M, Hosoi Y, Soma M, Kasuga K, Kojima I, Kobayashi M. Cloning of complementary DNAs encoding structurally related homeoproteins from preimplantation mouse embryos: their involvement in the differentiation of embryonic stem cells. Biol Reprod. 2010. https://doi.org/10.1095/biolreprod.108.075697.
Iha M, Watanabe M, Kihara Y, Sugawara S, Saito K, Soma M, Sato S, Mori Y, Kasuga K, Kojima I, Sasamura R, Murata J, Kobayashi M. Effect of ectopic expression of homeoprotein EGAM1C on the cell morphology, growth, and differentiation in a mouse embryonic stem cell line, MG1.19 cells. Reproduction. 2012. https://doi.org/10.1530/REP-11-0379.
Cui W, Dai X, Marcho C, Han Z, Zhang K, Tremblay KD, Mager J. Towards functional annotation of the preimplantation transcriptome: an RNAi screen in mammalian embryos. Sci Rep. 2016. https://doi.org/10.1038/srep37396.
Soma M, Iha M, Kihara Y, Sato S, Sato Y, Sato S, Mori Y, Sugawara S, Kasuga K, Kojima I, Kobayashi M. Preferential emergence of cell types expressing markers for primitive endoderm lineages in mouse embryonic stem cells expressing exogenous EGAM1 homeoprotein. J Biosci Bioeng. 2012;114:342–6. https://doi.org/10.1016/j.jbiosc.2012.04.012.
Sato S, Nakazawa M, Kihara Y, Kubo Y, Sato Y, Kikuchi T, Nonaka A, Sasaki A, Iwashita J, Murata J, Hosaka M, Kobayashi M. Partial inhibition of differentiation associated with elevated protein levels of pluripotency factors in mouse embryonic stem cells expressing exogenous EGAM1N homeoprotein. J Biosci Bioeng. 2015. https://doi.org/10.1016/j.jbiosc.2015.03.001.
Rajkovic A, Yan C, Yan W, Klysik M, Matzuk MM. Obox, a family of homeobox genes preferentially expressed in germ cells. Genomics. 2002. https://doi.org/10.1006/geno.2002.6759.
Cheng W-C, Hsieh-Li HM, Yeh Y-J, Li H. Mice lacking the Obox6 homeobox gene undergo normal early embryonic development and are fertile. Dev Dyn. 2007. https://doi.org/10.1002/dvdy.21261.
Ge SX. Exploratory bioinformatics investigation reveals importance of “Junk” DNA in early embryo development. BMC Genom. 2017. https://doi.org/10.1186/s12864-017-3566-0.
Sato S, Morita S, Iha M, Mori Y, Sugawara S, Kasuga K, Kojima I, Ozaki N, Muraguchi H, Okano K, Iwashita J, Murata J, Hosaka Kobayashi M. Intact structure of EGAM1 homeoproteins and basic amino acid residues in the common homeodomain of EGAM1 and EGAM1C contribute to their nuclear localization in mouse embryonic stem cells. J Biosci Bioeng. 2013. https://doi.org/10.1016/j.jbiosc.2013.02.007.
Pálfy M, Joseph SR, Vastenhouw Nl. The timing of zygotic genome activation. Curr Opin Genet Dev. 2017. https://doi.org/10.1016/j.gde.2016.12.001.
Takahashi K, Tanabe K, Ohnuki M, Narita M, Ichisaka T, Tomoda K, Yamanaka S. Induction of pluripotent stem cells from adult human fibroblasts by defined factors. Cell. 2007. https://doi.org/10.1016/j.cell.2007.11.019.
Assou S, Boumela I, Haouzi D, Monzo C, Dechaud H, Kadock I-J, Hamamah S. Transcriptome analysis during human trophectoderm specification suggests new roles of metabolic and epigenetic genes. PLoS ONE. 2012. https://doi.org/10.1371/journal.pone.0039306.
Reinholt BM, Bradley JS, Jacobs RD, Ealy AD, Johnson SE. Tissue organization alters gene expression in equine induced trophectoderm cells. Gen Comp Endocrinol. 2017. https://doi.org/10.1016/j.ygcen.2017.01.030.
Rossant J, Cross JC. Placental development: lessons from mouse mutants. Nat Rev Genet. 2001. https://doi.org/10.1038/35080570.
Wang H, Dey SK. Roadmap to embryo implantation: clues from mouse models. Nat Rev Genet. 2006. https://doi.org/10.1038/nrg1808.
Juriloff DM, Harris MJ. Mouse models for neural tube closure defects. Hum Mol Genet. 2000. https://doi.org/10.1093/hmg/9.6.993.
Sulik KK, Johnston MC, Webb MA. Fetal alcohol syndrome: embryogenesis in a mouse model. Science. 1981. https://doi.org/10.1126/science.6795717.
Ménézo YJR, Hérubel F. Mouse and bovine models for human IVF. Reprod BioMed Online. 2002. https://doi.org/10.1016/S1472-6483(10)61936-0.
Kuijk E, Geijsen N, Cuppen E. Pluripotency in the light of the developmental hourglass. Biol Rev. 2014. https://doi.org/10.1111/brv.12117.
Breschi A, Gingeras TR, Guigó R. Comparative transcriptomics in human and mouse. Nat Rev Genet. 2017. https://doi.org/10.1038/nrg.2017.19.
Xue Z, Huang K, Cai C, Cai L, Jiang C, Feng Y, Liu Z, Zeng Q, Cheng L, Sun YE, Liu J, Horvath S, Fan G. Genetic programs in human and mouse early embryos revealed by single-cell RNA sequencing. Nature. 2013. https://doi.org/10.1038/nature12364.
Fierro-González JC, White MD, Silva JC, Plachta N. Cadherin-dependent filopodia control preimplantation embryo compaction. Nat Cell Biol. 2013. https://doi.org/10.1038/ncb2875.
Johnson MH, Maro B, Takeichi M. The role of cell adhesion in the synchronization and orientation of polarization in 8-cell mouse blastomeres. J Embryol Exp Morphol. 1986;93:239–55.
Landry DW, Zucker HA, Sauer MV, Reznik M, Wiebe L. Hypocellularity and absence of compaction as criteria for embryonic death. Regener Med. 2006. https://doi.org/10.2217/174607220.127.116.117.
Wagner A. Distributed robustness versus redundancy as causes of mutational robustness. BioEssays. 2005. https://doi.org/10.1002/bies.20170.
Dobin A, Davis CA, Schlesinger F, Drenkow J, Zaleski C, Jha S, Batut P, Chaisson M, Gineras TRSTAR. Ultrafast universal RNA-seq aligner. Bioinformatics. 2013. https://doi.org/10.1093/bioinformatics/bts635.
Stamatakis A. RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies. Bioinformatics. 2014. https://doi.org/10.1093/bioinformatics/btu033.
Love MI, Huber W, Anders S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 2014. https://doi.org/10.1186/s13059-014-0550-8.
Kumar L, Futschik M. Mfuzz: a software package for soft clustering of microarray data. Bioinformation. 2007. https://doi.org/10.6026/97320630002005.
Fan X, Zhang X. Single-cell RNA-Seq transcriptomic analysis of circular RNAs in mouse embryos. 2015; NCBI SRA SRP034543 https://www.ncbi.nlm.nih.gov//geo/query/acc.cgi?acc=GSE53386.
AHR performed molecular and cell biology experiments, transcriptomics and statistical analyses of data. IM undertook genomic annotation of Obox genes. AHR, TLD and PWHH designed the ectopic expression experiments and analysis strategy. AHR and PWHH wrote the manuscript with input from TLD and IM. All authors read and approved the final manuscript.
We acknowledge the Oxford Genomics Centre, Wellcome Trust Centre for Human Genetics, for transcriptome sequencing, and the Flow Cytometry Facility, Experimental Medicine Division, University of Oxford, for assistance with cell sorting. We thank Adam Hargreaves, Daniel Lunn and Monica McAndrews for discussions and advice.
PWHH, TLD and IM have patent applications in progress related to the topic of this research.
Availability of data and materials
The RNA sequencing raw datasets generated in this study are available in the NCBI Gene Expression Omnibus repository under accession GSE108060. The mouse developmental stage RNA sequencing data analysed in this study were obtained from NCBI SRA Project SRP034543 . All transformed data are included in this published article and its additional information files.
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Funding was provided through the Oxford Interdisciplinary Bioscience BBSRC Doctoral Training Partnership (BB/M011224/1), the EPA Cephalosporin Fund and a Royal Society International Exchanges Grant.
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Royall, A.H., Maeso, I., Dunwell, T.L. et al. Mouse Obox and Crxos modulate preimplantation transcriptional profiles revealing similarity between paralogous mouse and human homeobox genes. EvoDevo 9, 2 (2018) doi:10.1186/s13227-018-0091-4
- Gene duplication
- Gene loss
- PRD class
- Transcription factor