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Universal nomenclature for oxytocin–vasotocin ligand and receptor families


Oxytocin (OXT; hereafter OT) and arginine vasopressin or vasotocin (AVP or VT; hereafter VT) are neurotransmitter ligands that function through specific receptors to control diverse functions1,2. Here we performed genomic analyses on 35 species that span all major vertebrate lineages, including newly generated high-contiguity assemblies from the Vertebrate Genomes Project3,4. Our findings support the claim5 that OT (also known as OXT) and VT (also known as AVP) are adjacent paralogous genes that have resulted from a local duplication, which we infer was through DNA transposable elements near the origin of vertebrates and in which VT retained more of the parental sequence. We identified six major oxytocin–vasotocin receptors among vertebrates. We propose that all six of these receptors arose from a single receptor that was shared with the common ancestor of invertebrates, through a combination of whole-genome and large segmental duplications. We propose a universal nomenclature based on evolutionary relationships for the genes that encode these receptors, in which the genes are given the same orthologous names across vertebrates and paralogous names relative to each other. This nomenclature avoids confusion due to differential naming in the pre-genomic era and incomplete genome assemblies, furthers our understanding of the evolution of these genes, aids in the translation of findings across species and serves as a model for other gene families.


OT and VT act as hormones or neurotransmitters that—through their respective G-protein-coupled receptors—regulate a wide range of biological functions, including uterine contractions and milk ejection in placental mammals; copulation, bond formation, thermoregulation, nesting behaviour and social vocalizations (for oxytocin) across many vertebrate and some invertebrate groups; and antidiuresis, blood pressure, parental care and reproduction (for vasotocin) in mammals and/or other vertebrates and invertebrates1,2 (Supplementary Table 1, Supplementary Note 1). In the pre-genomic era, small differences in amino acids of the OT and VT hormones in different species or lineages led biochemists to give them and their receptors different names: for example, mesotocin in birds, reptiles and frogs, and isotocin in teleost fish, for the apparent oxytocin complement of mammals; and vasopressin in mammals for the apparent vasotocin complement in other vertebrates6.

It has previously been hypothesized that OT and VT are the product of a local duplication near the origin of vertebrates5. However, the evolutionary trajectory of the receptors is under debate7,8,9,10. One recent view9 is that the genes that encode the OT and VT receptors (hereafter, OTR-VTRs) evolved through two rounds of whole-genome duplication in the ancestor of cyclostomes. An alternative view10 posits that the OTR-VTRs evolved by one round of whole-genome duplication shared by agnathans and gnathostomes, followed by segmental duplications. However, these studies used highly fragmented genome assemblies and inconsistent annotations, and could not conclusively resolve the evolution of the OTR-VTRs. The resulting varied biochemical-based and evolutionary-based terminologies have led to confusion as regards the orthology and paralogy of these genes, which is emblematic of a wider problem in gene nomenclature.

Here we analysed the genomes of 35 species that span all the major vertebrate lineages as well as an additional 4 outgroup genomes from invertebrate lineages (Supplementary Table 2); these included several species that were sequenced with long-read and long-range scaffolding technologies by the Vertebrate Genomes Project (VGP) (, which filled gaps and corrected errors of previous shorter-read assemblies3. On the basis of gene synteny, sequence identity, family tree and other analyses, we propose that OT and VT are paralogous genes that arose through a local duplication via DNA transposable elements near the origin of vertebrates. We propose that the OTR-VTR genes evolved by a combination of whole-genome duplication and segmental duplication, which led to six receptors near the origin of jawed vertebrates with lineage-specific losses and gains thereafter. With this improved understanding of the relations between the OTR-VTR genes, we propose a universal vertebrate nomenclature based on evolutionary relationships (Table 1).

Table 1 Previous and proposed terminology for genes encoding OT and VT ligands and receptors in vertebrates


In all genomes, we initially searched for OT, VT and OTR-VTR genes using pair-wise BLAST and BLAT analyses, and analysed the synteny of these genes from microchromosomal to macrochromosal scales between and within species. We then assessed congruence between synteny, sequence identity and gene family trees.

Evolution of the VT and OT ligands

On the basis of BLAST searches, sequence identity and manual microsynteny analyses within a ten-gene window (microchromosomal), we found the human VT orthologue (that is, AVP) in all vertebrates analysed (Fig. 1a, Supplementary Fig. 1, Supplementary Table 3). Only the putative VT in hagfish did not have genes in synteny with any other vertebrate (presumably owing to the fragmented assembly), but the gene tree of this putative VT formed an immediate node with the lamprey VT (Extended Data Fig. 1a)—which suggests it is the VT homologue. In jawed vertebrates (after the divergence of the lamprey and hagfish), we found the OT orthologue directly adjacent to VT except in teleost fish (Supplementary Fig. 1, Supplementary Table 4a). In teleosts, OT was translocated nearby on the same chromosome (or to a separate chromosome in zebrafish; Supplementary Table 4a), which supports more rearrangements in teleosts11. The spotted gar—which represents the divergence of the holosteans, sister to the teleosts—had both OT and VT together in the translocated OT region found in teleosts, indicating that there was first a translocation and then a relocation of VT in teleosts near its original location. A previous short-read assembly of the megabat had OT as the only gene on a scaffold, indicating a fragmented assembly. The pale spear-nosed bat assembly from the VGP3 and Bat1K project4 revealed a local triplication of the OT and VT genes. We found support for this triplication using single Pacbio long reads and Bionano optical maps that spanned the entire region (Extended Data Fig. 1b, c, Supplementary Note 2a): such duplications are known to be hard to assemble with short reads12. An OT orthologue was not found in lampreys and hagfish, which provides support for a previous result in lamprey13. This previous report was inconclusive owing to the fact that the assembly was generated from the sized-down, programmed and rearranged somatic genome, whereas we analysed a long-read germline genome of the sea lamprey14; the inshore hagfish data are from a short-read germline genome.

Fig. 1: Phylogenetic distribution and local gene duplication.

a, Phylogenetic distribution of OT, VT and OTR-VTR genes among vertebrates. Filled circles, presence of a gene; empty circles, loss of a gene; no circle, the gene never evolved in that lineage. Phylogenetic tree based on ref. 36. *Unresolved relationship for whether hagfishes and lampreys constitute a single phylum or two separate phyla35,37. b, Local chromosomal organization of the OT and VT region. Representation of the position (in kb), orientation (+ or −) of OT and VT genes (exons + introns) in human chromosome 12, intron length (scale, 100 bases), GC content and DNA transposable elements with terminal inverted repeats (TE-TIRs) (green).

In three of the four invertebrate species we analysed, we identified a single gene that was structurally similar (3–4 exons)—but not syntenic—to the vertebrate VT (Supplementary Table 5), supporting previous findings15,16,17. The exception was amphioxus, which had three copies of the VT gene: two on the same scaffold 23 kb apart from each other, and the other on another scaffold in a paralogous syntenic territory (Supplementary Table 5, Supplementary Note 2b). Two of these three genes had previously been noted13,18, which—together with our data—indicates several lineage-specific duplications in amphioxus.

To test the hypothesis that vertebrate OT could be a tandem duplication of VT5, we searched for DNA transposable elements, which are known to drive gene duplications19. We found transposable elements around OT (for example, in human and chimpanzee), but not around VT (Fig. 1b, Supplementary Tables 6, 7). These transposable elements had terminal inverted repeats, which are known to transpose through a cut-and-paste mechanism that creates an extra copy at the donor site19. We searched for other features that are encountered in duplicated genes, such as intron shortening and/or an increase in GC content20: both of the human OT introns were shorter than the VT introns, with the first OT intron also being 13% richer in GC content (77.9% versus 64.6%) (Fig. 1b). These relationships varied among species, with the elephant shark—representing a more basal vertebrate divergence than that of human—showing a large decrease in length of only the first OT intron compared to VT (3,226 bp versus 1,158 bp) but similar GC content.

We also found that the orientation of the genes was tail-to-head OT-to-VT (same direction) in nearly all vertebrates (including marsupial mammals)—except for placental and monotreme mammals, in which the orientation was tail-to-tail (OT inverted) (Supplementary Table 8). This is indicative of the fact that, after the original OT tandem duplication of VT, OT inversions either occurred independently at the origin of monotremes and placental mammals (as previously suggested13) or occurred at the origin of mammals with marsupials reverting back to the tail-to-head orientation. We also identified an independent OT inversion in the spotted gar (Supplementary Table 8). The totality of our findings suggest that OT is a local tandemly duplicated copy of VT that arose after the divergence of jawed vertebrates, which was followed by divergences in introns, GC content, gene orientation, translocations and further duplications in different lineages.

A universal nomenclature for OT and VT

On the basis of these findings, we propose a universal nomenclature in which oxytocin (that is, OT) and vasotocin (that is, VT) are used for these genes in all jawed vertebrates, and VT is used in all jawless vertebrates and closely related invertebrates. We believe that these genes should be named in this manner because it portrays their evolutionary history, as is standard practice for other genes that are orthologous across species (for example, FOXP1) and paralogous within species (for example, FOXP2, FOXP3 and FOXP4). According to this practice, the genes encoding these two peptides would be named vasopressin 1 (AVP1) and vasopressin 2 (AVP2), vasotocin 1 (VT1) and vasotocin 2 (VT2) or oxytocin 1 (OT1) and oxytocin 2 (OT2). As we realize that this would be a far-reaching shift from the existing nomenclature, we propose that the common origin of these genes be portrayed through the shared suffix -tocin, and paralogy conveyed through different root words oxy- and vaso-. Vasotocin is a name that is already used by most scientific communities focusing on non-mammalian species (Table 1). Furthermore, the name ‘arginine vasopressin’ (AVP) entails that this gene encodes an arginine as the eighth amino acid, which is not the case for all mammals6. For non-mammalian species, this means that the peptides currently known as mesotocin, isotocin, glumitocin, valitocin, aspargtocin and neurophysin in different lineages would now be called by one orthologous name (that is, oxytocin) (Table 1).

Six vertebrate OTR–VTRs

Our manual microsynteny analysis within a ten-gene window revealed six paralogous receptors among vertebrates (Fig. 1a, Supplementary Tables 3, 4b–e). Most vertebrate species had four or five of the six receptors, and some had further lineage-specific duplications (Extended Data Fig. 9, Supplementary Note 2c–e). For greater clarity, we present our findings using our proposed nomenclature of the root names for the ligands, with evolution-based suffixes (Table 1) from evidence highlighted in the ‘Evolution of the VT and OT ligands’ section.

On the basis of microsynteny analyses, we found the gene that is commonly defined as the oxytocin receptor (OXTR) in mammals or the mesotocin receptor (MTR) in birds (henceforth referred to as OTR) in a well-conserved syntenic region in nearly all of the vertebrates we examined (Fig. 2a, Supplementary Fig. 2). We found similar results for the gene known as arginine vasopressin receptor 1 (AVPR1) or arginine vasopressin receptor 1A (AVPR1A) in mammals, or vasotocin receptor 4 (VT4) in some non-mammals (henceforth referred to as vasotocin receptor 1A (VTR1A)) (Supplementary Fig. 3). By contrast, the gene known as AVPR3 or AVPR1B in mammals or as vasotocin receptor 3 (VT3) in non-mammals (henceforth referred to as vasotocin receptor 1B (VTR1B)) was present in all tetrapods, sharks and coelacanths, but was absent in other fish and lampreys (Supplementary Fig. 4). The syntenic territory of VTR1B was present in all fish except lampreys, which indicates a gain of VTR1B after the divergence from lampreys that was followed by a loss in holosteans and teleosts after their divergence from coelacanths and sharks (Fig. 1a). In addition, teleosts showed rearranged syntenic gene blocks on each side of OTR, each side of VTR1A and on one side of the (lost) VTR1B (Supplementary Figs. 24).

Fig. 2: Interspecies and intraspecies synteny analyses.

a, Example of interspecies ten-gene microsynteny for OTR across vertebrates. Same colour, orthologous genes. Black boxes, genome rearrangements. OTRa in the sea lamprey and zebrafish is orthologous to OTR in all other vertebrates. Human OTR is currently known as OXTR; tropical clawed frog otr is currently known as oxtr. b, Intraspecies 10-Mb macrosynteny among 6 chromosomes (block colours) for all OTR-VTR gene regions in humans whether present (OTR, VTR1A, VTR1B and VTR2C) or deleted (VTR2A and VTR2B). Gene families are listed alphabetically on the left. In the blue column, underlined genes were found within a 10-Mb window of VTR1A on chromosome 12. In the pink column, underlined genes were found within a 10-Mb window of OTR on chromosome 3; genes in black bold were found within a 10-Mb window of the deleted VTR2A on chromosome 12 or (in blue bold) 7, or within the 10-Mb window of the deleted VTR2B on chromosome 3. Orange column, all genes listed (in black bold) were found within a 10-Mb window of VTR1B on chromosome 1 (orange block). Yellow column, all genes listed (in black bold) were found within a 10-Mb window of VTR2C on chromosome X (yellow block). Green column, an alternative syntenic territory of VTR2B (green) was also found at a different location of chromosome 3. Genes not in bold are found outside of the strict 10-Mb window, but are on the same chromosome as the respective OTR-VTR gene.

The gene known as vasotocin receptor 1 (VT1) in birds, and by several other names in other lineages (Table 1) (henceforth referred to as vasotocin receptor 2A (VTR2A)), was found in conserved synteny in reptiles, mammals and some fish, although its syntenic territory was present in all of these lineages (Supplementary Fig. 5)—indicating independent losses (Fig. 1a). The gene known as arginine vasopressin receptor 4 (AVPR4) in fish (henceforth referred to as vasotocin receptor 2B (VTR2B)) was detected only in fishes and lampreys but its syntenic territory was detected in all vertebrates (Supplementary Fig. 6), which indicates a loss in the tetrapod ancestor (Fig. 1a). The gene commonly known as arginine vasopressin receptor 2 (AVPR2) in mammals or as AVPR2A in fishes (henceforth referred to as vasotocin receptor2 C (VTR2C)) was found in all vertebrates except for lampreys, elephant sharks and birds (Supplementary Fig. 7). In birds, the absent VTR2C was part of a larger block of about 20 genes that has been deleted21. These findings indicate a gain of VTR2C in vertebrates after the divergence of elephant sharks, followed by a loss in birds (Fig. 1a). Again, teleosts showed rearranged syntenies on either side of VTR2B and on one side of VTR2A and VTR2C (Supplementary Figs. 57).

In all of the species we assembled to chromosomal resolution, OTR and VTR2B were syntenic on the same chromosome and separated by 10–30 genes (Extended Data Fig. 2a, Supplementary Table 4b). Similarly, VTR1A and VTR2A were also on the same chromosome or scaffold and separated by 4–50 genes, except in mammals and fish (Supplementary Table 4c). In mammals, the syntenic genes (including VTR1A) on one side of the deleted VTR2A were on chromosome 12 (human nomenclature), whereas those on the other side were on chromosome 78,9 (Extended Data Fig. 2b, Supplementary Table 4c), which indicates a fission that possibly involved the loss of VTR2A in mammals. In fish, there were complex patterns of rearrangements and duplications but some species (for example, the three-spined stickleback, gar, coelacanth and elephant shark) still contain VTR1A and VTR2A on the same chromosome (Supplementary Table 4c), which indicates lineage-specific chromosomal fissions and other rearrangements. In hagfish, we found only two VTR genes. These genes are located on two different scaffolds, one containing VTR1 and the other containing VTR2, and each is equally syntenic for gene families containing the OTR and VTR2B combination and the VTR1A and VTR2A combination in other vertebrates (Supplementary Table 4f, g); this indicates an ancestral relationship to both chromosome combinations, possibly via duplication. Higher-quality germline assemblies for hagfish should reveal whether these two scaffolds are really separate or are part of the same chromosome. Finally, VTR1B and VTR2C were singly found on different chromosomes or scaffolds in all species in which they were present (Supplementary Table 4d, e). We verified these findings with an independent, automated, more-quantitative and longer-range measure by using SynFind22 on alignments in up to 100-gene macrosynteny windows around the receptors, in all major lineage combinations (Extended Data Fig. 3, Supplementary Note 3).

Chromosomal orthology and paralogy of OTR-VTRs

To assess whether the interspecies synteny we identified was due to local segmental synteny within a chromosome or to entire chromosomal-scale orthology, we generated dot plots using SynMap2 for entire chromosomes or scaffolds that contained OTR-VTR genes, focusing on comparisons between species that represent major vertebrate lineages and which were sequenced at chromosomal resolution. By examining basal branches, we found the sea lamprey scaffold that contained the combination of OTR and VTR2B had the highest number of syntenic hits (30–60 genes) to the chromosome in all other vertebrates that had the combination of OTR and VTR2B (Fig. 3a). We found a similar result between species in chromosomes containing the combination of VTR1A and VTR2A (Fig. 3b). Exceptions included some fish, in which another chromosome had a similar number of syntenic hits (Fig. 3a, b)—consistent with an extra chromosome paralogue from an additional whole-genome duplication. Mammals were also an exception: here, the orthology of the sea lamprey scaffold containing the VTR1A-VTR2A combination was split between two chromosomes (for example, human chromosomes 7 and 12) (Fig. 3b), consistent with a fission event. These results indicate that these two gene combinations are syntenic, because each belongs to a chromosome orthologue of vertebrates after the split with lampreys. The second highest gene hits in most species were to the chromosome that contained the other receptor combination (Fig. 3a, b), which indicates that the chromosomes containing the VTR1A-VTR2A and OTR-VTR2B combinations may be paralogues from a whole-genome duplication. The third highest number of syntenic gene hits were to chromosomes that contained VTR1B or VTR2C (in no particular order) (Fig. 3a, b), which suggests possible paralogous segmental duplications. Similar—but not as strong—results were found for an apparent duplicate sea lamprey scaffold that contained one VTR gene (Extended Data Fig. 4a, b, Supplementary Note 1c).

Fig. 3: Analysis with SynMap2 identified syntenic gene hits between sea lamprey scaffolds containing two receptors each and chromosomes of other species.

Bar graphs were created from dot plots. a, Sea lamprey scaffold 27 is most syntenic with chromosomes of other species that contain the OTR-VTR2B combination. b, Sea lamprey scaffold 10 is most syntenic with chromosomes of other species that contain the VTR1A-VTR2A combination. The minimum number of aligned homologous gene pairs to be considered syntenic was 3 at a 20-gene maximum distance in each species. For comparisons including human, the minimum number was set to 2. *Significant differences between chromosomes with the highest number of gene hits within a species (P < 0.05; χ2 test, two-sided; n = 199 genes located on scaffold 27; n = 246 genes located on scaffold 10).

When we used the two scaffolds that contained the VTR1 and VTR2 hagfish genes as references, we found fewer syntenic gene hits to chromosomes of other species: chromosomes with the OTR-VTR2B and VTR1A-VTR2A combinations showed the highest number of hits, with no clear preference between them (Extended Data Fig. 4c–f, Supplementary Note 4). These findings further support a deep ancestral paralogy between chromosomes that contain these two receptor combinations, with possible ancestral chromosome representatives in hagfish. Our findings are consistent with previous studies identifying chromosomal paralogues14,23,24,25,26, and further reveal newly identified candidate chromosomal paralogues in species with genomes that—to our knowledge—have not yet been compared (sea lamprey versus medaka, frog versus medaka and so on) (Fig. 3).

Rapid radiation of the VTR1 and VTR2 families

We next assessed paralogues within species to help to determine evolutionary relationships among the receptors. We analysed 10-Mb macrosynteny windows between and within chromosomes of the same species (intraspecies) for all 6 receptors (whether present or deleted). Within species (for example, human), we found paralogous ‘gene families’ in syntenic blocks around all OTR-VTR genes (Fig. 2b, Supplementary Table 9a), which supports the notion that at least parts of these chromosomes are paralogous (human chromosomes 12 and 7, versus chromosome 3). We also found an extra gene-family territory on human chromosome 3 that is syntenic with the VTR2B territory (Fig. 2b). However, we did not detect any VTR1 or VTR2 genes within a species that shared substantially more synteny than others (Supplementary Table 9a, b). Further, no gene family was present in the territory of all six present or deleted receptors. At a more microscale level, among the exons and introns of OTR-VTR genes (Extended Data Fig. 5) and in flanking microRNAs and long non-coding RNAs (Extended Data Figs. 6, 7, Supplementary Table 10), we also did not find any one gene with more similarity to another that would allow us to make further conclusions about the evolution of gene subfamilies (for example, sea lamprey and human) (Supplementary Notes 5, 6). Most sequences were too similarly divergent to inform paralogy (Supplementary Note 5). Overall, the lack of further macrosynteny and simple sequence-divergence resolution of paralogues within a species—combined with the better resolution on chromosome orthologues and paralogues between species in which these gene regions reside—suggest a rapid radiation of receptor evolution near the origin of vertebrates.

Single chromosome origin of OTR-VTRs

To assess receptor origins, we performed ancestral analyses by mapping regions that contain the OTR-VTR genes against reconstructed chromosomes of the vertebrate or chordate ancestor from four independent studies14,23,25,27. Chromosome fragments containing the OTR-VTR genes in vertebrates all mapped back to the same reconstructed chromosome (Supplementary Table 11). A previous study28 suggested that VTR2C maps back to a separate ancestral chromosome: we believe that this is inaccurate because the region that contains the gene we name VTR2C is entirely missing from the reconstruction that was used23, although it is present in other reconstructions14,25,27 that were based on higher-quality amphioxus and sea lamprey genome assemblies (Supplementary Table 11). These findings are consistent with the fact that that vast majority of invertebrates that have been examined have only one VTR gene13,17 (Supplementary Table 5).

Synteny, phylogeny and receptor evolution

We generated phylogenetic trees of the receptor gene family across vertebrates using alignments of both the exon nucleotide (RAXML) and amino acid (TreeFam and TreeBeST5) sequences, and then mapped our revised synteny-based naming onto the tree leaves. BLAST nucleotide comparisons alone, and previous nomenclatures based on these analyses (Table 1), yielded many contradictions with the synteny-defined orthologues (Supplementary Table 12). We believe this is due to BLAST not returning alignments of the entire sequence, which in turn is due to larger lineage divergences between those gene regions (Supplementary Note 5). By contrast, our phylogenetic sequence analyses revealed tree topologies with almost 1:1 consistency to our synteny-defined relationships (Fig. 4).

Fig. 4: OTR-VTR gene family trees.

a, Tree topology inferred with the phylogenetic maximum likelihood method on an exon nucleotide alignment (MAFFT), with 1,000 non-parametric bootstrap replicates. Bootstrap values are shown as percentages at the branch points (values <50% were considered less informative). The tree is rooted with the three VTR genes we found in amphioxus. The gene names of the current accessions (see Table 1 and Supplementary Tables 4a–e for full list of synonyms) were written over according to our revised synteny-based orthology. Scale bar, phylogenetic distance of 0.78 substitutions. b, Tree topology inferred with the phylogenetic TreeFam method on an amino acid alignment generated via the Ensembl ‘gene tree’ tool (gene tree identifier: ENSGT00760000119156). Left, red boxes denote inferred gene duplication node; blue boxes denote inferred speciation events; and turquoise boxes denote ambiguous nodes. Right, green bars denote multiple amino acid alignment made with MUSCLE; white areas denote gaps in the alignment; and dark green bars denote consensus alignments. Gene names are revised according to our synteny-based orthology; Extended Data Fig. 8 shows a tree with the current nomenclature in Ensembl.

The combined phylogeny and synteny analyses supported a single VTR gene shared with an invertebrate ancestor (that is, represented in sea squirt). This receptor then duplicated into what we designate the ancestral VTR1 and VTR2 on the same chromosome (that is, represented in hagfish) (Fig. 4). Thereafter, the trees suggest that these two genes expanded into three genes in the VTR1 subfamily (VTR1A, OTR and VTR1B) and three in the VTR2 subfamily (VTR2A, VTR2B and VTR2C), respectively, with VTR1A and VTR2A on the same chromosome and the paralogous OTR and VTR2B on another chromosome. Thereafter, the sister relationship of VTR1A and VTR1B in both trees suggests that one directly gave rise to the other, after the divergence of jawless fish (based on absence of VTR1B in lampreys). Likewise, the sister relationship of VTR2B and VTR2A in the nucleotide tree is consistent with the synteny findings of one giving rise to the other, and—together—their sister relationship to VTR2C is consistent with one of them giving rise to it, after the divergence of sharks (based on absence of VTR2C in sharks).

In stark contradiction to the synteny findings, the lamprey VTR1A and OTR genes each clustered outside of their respective synteny-defined VTR1 homologues among species and the same occurred for lamprey VTR2A and VTR2B for the VTR2 homologues (Fig. 4), which implies lamprey-specific duplications. One possible explanation for these contradictions is that there could be convergence within the lamprey OTR-VTR genes (possibly owing to higher GC content29) or that the divergence was so rapid at the origin of vertebrates that the true relationship is not easy to resolve using gene tree inference. Consistent with the latter, the bootstrap support values are low (72–74%) for a more recent gene duplication. Consistent with the former, the lamprey exon sequences of all 4 receptors were among the highest in GC content (60–69%) compared to other species (Supplementary Table 13). The three amphioxus VTR sequences in our exonic tree cluster within species at 100% support (Fig. 4a), consistent with lineage-specific duplications (Supplementary Note 2b). There were some differences in local relationships in the exon and amino acid trees (Fig. 4a, b), but these did not affect the major conclusions here (Supplementary Note 7).

A universal nomenclature for OTR-VTR genes

On the basis of the above findings, we propose a universal nomenclature for the OTR-VTR genes in which their root terms follow the ligand names (oxytocin receptor (OTR) and vasotocin receptor (VTR)) and their enumeration terms (1A, 1B, 2A, 2B and 2C) follow their evolutionary history: the numbers 1 and 2 designate the original duplication, and the letters A, B and C designate the subsequent subfamily duplications. The only exceptions we made were the decisions not to rename OTR as VTR1B or VTR1B as VTR1C (as the evolutionary history warrants), because we felt this might be too radical of a departure from the common use. This is further justified in that—although there is crosstalk in OT and VT binding to these receptors—OT is the dominant ligand for OTR30. For the VTR2 genes, we reordered the enumerations according to the inferred chronological order of duplications: VTR2A and VTR2B for the genes we found in lampreys, and VTR2C for the gene that evolved in the ancestor of bony fishes. This universal nomenclature gives a single name to each gene across vertebrates. The gene that is commonly known as arginine vasopressin receptor 1A (AVRP1A) in mammals, vasotocin receptor 4 (VT4) in birds and vasotocin receptor (VasR) in frogs would, in our revised nomenclature, be called vasotocin receptor 1A (VTR1A) (Table 1). The gene that is commonly known as oxytocin receptor (OXTR) in mammals, vasotocin receptor 3 (VT3) or mesotocin receptor (MTR) in birds and frogs, and isotocin receptor (ITR) in fish would be called oxytocin receptor (OTR). Similar changes from multiple names to a single name apply to the other four receptors (Table 1).

Interpretations and evolutionary hypotheses

We considered a model of OTR-VTR evolution in the context of two competing hypotheses of vertebrate genome evolution: one round of whole-genome duplication and segmental duplications (Fig. 5a) versus two rounds of whole-genome duplication (Fig. 5b). For both hypotheses, we propose that the single VTR in the vertebrate ancestor had a tandem segmental duplication on the same chromosome at over 550 million years ago31 that gave rise to the ancestral VTR1 and VTR2 genes. Thereafter, in a one round of whole-genome duplication in a gnathostome ancestor, one copy of each of the VTR1 and VTR2 genes gave rise to the VTR1A-VTR2A combination on one chromosome paralogue and the OTR-VTR2B combination on the other chromosome paralogue. From here, the two hypotheses diverge. In hypothesis 1 (Fig. 5a), a segmental translocated duplication of the chromosomal region containing VTR1A gives rise to VTR1B in the ancestor of jawed vertebrates at over 500 million years ago and a segmental translocated duplication of the region containing VTR2B gives rise to VTR2C in the common ancestor of other vertebrates with bony fish at over 450 million years ago. Segmental duplications have been found in other gene families at these evolutionary time points32,33. In hypothesis 2 (Fig. 5b), two rounds of whole-genome duplication before the divergence of gnathostomes from cyclostomes lead to four more receptors in the ancestor of jawed vertebrates at over 500 million years ago. Both hypotheses agree with lineage-specific losses of VTR2B in the ancestor of tetrapods, of VTR2A independently in mammals and teleost fish, of VTR1B in holostean and teleost fish, and of VTR2C in birds. However, for hypothesis 2 to be true, complete independent losses of thus-far unidentified VTR1C and VTR2D genes and associated chromosome segments in an extinct species before its divergence into all other vertebrate lineages would be required. Our results are more parsimoniously explained by hypothesis 1 (one-round of whole-genome duplication)14 with prior and subsequent segmental duplications (Supplementary Note 8). Such a vertebrate evolutionary scenario is consistent with expectations given a simple random mutational model34 that requires as few as 6 mutational steps, whereas models that invoke two rounds of whole-genome duplication require at least 9 steps in our case (Supplementary Note 8) or 12–18 under previous assumptions34. Our findings of only two receptor genes (VTR1 and VTR2) in inshore hagfish is more consistent with the paraphyly (separate phyla) of lampreys and hagfishes than the monophyly hypothesis35, as it does not require further inference of independent gene losses or gains or incomplete lineage sorting (Fig. 1a). Thus, our findings may have repercussions on a wider and highly debated topic—that of the evolution of vertebrate genomes (Supplementary Note 9).

Fig. 5: Two proposed hypotheses for the evolution of OTR-VTR genes.

a, Hypothesis 1 proposes the receptors evolved by an initial segmental duplication (SD), then a one round of whole-genome duplication (WGD), followed by two segmental duplications in different vertebrate lineages and then by losses (red X) in specific lineages. b, Hypothesis 2 proposes the initial segmental duplication was followed by two rounds of whole-genome duplication and specific losses (X), including in all vertebrates (blue X). Lines connecting genes indicate that they are on the same chromosome in most species. Alignments between sets of genes indicate the closest related paralogues.

Our revised understanding of the receptor relationships allows a more holistic view of their functions. We generated a multiprotein coding sequence alignment among the highest-quality assemblies of all six receptors, and found that the seven transmembrane domains and associated polar amino acids that interact with OT or VT have remained highly conserved in sequence or amino acid type, even 550 million years after their common origin (Extended Data Fig. 10, Supplementary Note 10). By contrast, the extracellular OT or VT binding domains and the intracellular G-protein binding domain became highly diversified from one receptor to another, predicting greater diversity in initial ligand binding and subsequent intracellular signalling. Nine amino acid sites distinguish the VTR1 and VTR2 subfamilies (most in or near the transmembrane regions), but only one of these is in the G-protein binding region (Extended Data Fig. 10). All of the receptors use diacylglycerol, inositol triphosphate and Ca2+ for second-messenger intracellular signalling—except for VTR2C, which uses cAMP (Supplementary Table 31). The tissues in which the receptors have their highest expression include the brain (except VTR2A), with expression being highest in the adrenal gland. We could not find data available for signalling or expression for VTR2B in fish, but predict it will be similar to members of the VTR2A and VTR2C subfamilies. Finally, our findings that the OTR (represented by lamprey divergence) evolved millions of years before the OT ligand (represented by elephant shark divergence) suggest that the ancestral VT may have originally acted through the OTR before OT evolved. This suggestion is supported by findings that, in some species, OT and VT bind to the OTR at similar efficiencies8; a greater response of OTR to OT over VT is found for the first time in teleost fish8.

In summary, we believe that our revised evolution-based and universal nomenclature will make translating findings across vertebrates much easier. It will help to inform our understanding of crosstalk between some of the ligands and receptors, our understanding of genome evolution and could serve as a model for a broader universal gene nomenclature.


No statistical methods were used to predetermine sample size. The experiments were not randomized, and investigators were not blinded to allocation during experiments and outcome assessment.

Overall synteny and BLASTn analyses

To define orthology in the OT, VT and OTR-VTRs in all vertebrates, we used interspecies synteny analyses at three scales: a manual 10-gene window microsyteny analyses using BLAT and BLAST38,39 searches and cross-species genome alignments; a more automated 100-gene macrosynteny window using SynFind and GeVo22; and automated chromosomal-scale alignments with syntenic dot plots using SynMap240. To define paralogy and further trace the evolutionary history of the genes, we used intraspecies synteny analysis, searching for paralogous genes in 10-Mb windows. Microsynteny was useful for determining orthologous and paralogous relationships between genes in the majority of the vertebrate lineages. Macrosynteny was useful for determining orthologous and paralogous relationships in cases in which the microsynteny was weaker, such as between genes found in lampreys or hagfish with the rest of the vertebrates. Sequence identity was determined using BLASTn to understand relationships between the per cent identity and synteny (Supplementary Table 12). Only results with a bit score >40 and hits with high probability E value <10−4 were kept. We describe the specific methods for each synteny approach in ‘Microsynteny between species in approximately 10-gene windows’, ‘Macrosynteny between species in approximately 100-gene windows’ and ‘Chromosome-scale macrosynteny between species’.

Microsynteny between species in approximately 10-gene windows

We ran microsynteny analysis by manually scanning annotated alignments for 5 protein-coding genes before and after each focus gene (Supplementary Table 4a–e) in 35 species spanning all major vertebrate lineages (Supplementary Table 2). The candidate genes in each species (accession number or gene identifier in Supplementary Table 4a–e) were first selected by BLAT and BLAST searches using the UCSC genome browser and alignment ( and the SynFind tool from the CoGe comparative genomics research platform22. The NCBI and Ensembl41 (v.95) database genome alignments were used to identify the neighbouring genes. For the neighbouring genes, we kept in our Supplementary Tables the family gene names used in the genome annotation of each species, even though in some cases—we believe erroneously—different family names have been given to the orthologous gene in different species (for example, FABP1A in spotted gar and FABP1B.1 in stickleback; Supplementary Table 4a). For the species that had more lineage-specific duplications, we labelled the gene that shared more synteny with the orthologue in other vertebrate lineages with ‘a’ (for example, OTRa), and labelled the copy with ‘b’ (for example, OTRb). We listed the aliases in NCBI and Ensembl for each focus gene in each organism (‘Aliases’ column in Supplementary Table 4a–e) and included the most frequent ones in Table 1. When our target genes appeared to be lost in a species (no initial BLAST hit), we searched the surrounding gene territory to determine whether only the gene of interest or a larger block of genes were deleted, or whether the deletion was due to an incomplete genome assembly or assembly artefact.

For some species with more-fragmented genome assemblies or annotations or greater divergences in NCBI and Ensembl, we analysed other higher-quality assemblies and annotations. This included the VGP zebra finch, Anna’s hummingbird, pale spear-nosed bat and platypus genome assemblies3. For the Japanese lamprey, we included previously published synteny data10. For the sea lamprey, we used the assembly of the germline genome14 and analysed it with BLAST, Genome Browser and Gene Search tools ( For amphioxus, we used the BLAST and Gene Browser tools available at with the latest version of the amphioxus genome (Branchiostoma floridae v.2.0), whereas previously reported data13 are based on the first version of the genome (B. floridae v.1.0). For the inshore hagfish genome assembly, the contigs were relatively short and not fully annotated, and thus we first BLAT-searched all the OT, VT and OTR-VTR sequences of all the aforementioned species against the hagfish genome in Ensembl, found two putative OTR-VTRs in two separate contigs in the hagfish assembly, and then used the ‘Region comparison’ tool of Ensembl to map each gene of these contigs against the human, zebrafish and lamprey genomes (Supplementary Table 4f, g). BLAST gave many gene hits in the hagfish genome, but only with short segments aligning to OT and VT orthologues in other species. Thus, to determine whether they were real OT or VT orthologues, we used the ‘Gene Tree’ tool of Ensembl that constructs a phylogeny using the entire protein sequence, with the sea lamprey VT as reference. For the receptors, we used our data from the SynMap2 dot plots (described in ‘Chromosome-scale macrosynteny between species’) and included in the synteny of the hagfish receptors the gene hits that appear on the chromosomes in which the OTR-VTRs are located in human, chicken, zebrafish and sea lamprey (Supplementary Table 4f, g).

Macrosynteny between species in approximately 100-gene windows

We generated gene sequence alignments between pairs of species using SynFind22 (density, LastZ defaults). This results in a matrix containing syntenic gene-hit values in the reference species relative to query species along with their chromosomal locations. This data matrix was parsed and visualized using a custom R script ( First, a 100-gene window centred around a given receptor gene in the reference organism (x axis) was defined using biomaRt (v.3.10). As we move 5′ (left) or 3′ (right) from zero (the focus gene) and if synteny exists, the number of gene hits for a given receptor in the query species shows a cumulative increase. This allowed us to identify large stretches of homologous sequences interspersed by divergent sequences.

Chromosome-scale macrosynteny between species

We used SynMap240 to generate syntenic dot plots of chromosome sequence alignments between species that contain OTR-VTRs (Supplementary Tables 1530). SynMap2 identifies collinear sets of genes or regions of sequence similarity to infer synteny between two sequences, and generates a dot plot of the results. We used the default parameters (as of December 2018), except for ‘Minimum number of aligned pairs’. This parameter defines the minimum number of homologous genes (based on last default parameters) that should be found in a 20-gene distance for these genes to be considered syntenic and to appear on the dot plot. In more closely related lineages, we selected three as a minimum number (for example, between sea lamprey on the one hand, and Japanese medaka, or zebrafish, frog and chicken genomes on the other); for more distantly related species, we used two (for example, between hagfish on the one hand, and sea lamprey, or Japanese medaka, zebrafish, frog, chicken and human genomes on the other). Additionally, because the hagfish contigs were shorter than most other assemblies (making synteny more difficult to identify), we also ran a dot plot with 1 as the minimum number to search for all possible homologous hits, regardless of synteny.

To test for significant differences, we ran a χ2 test with distinct samples of genes on the difference of the proportions between the first two chromosomes with the highest number of gene hits, using the number of genes in the super-scaffold of the reference species (for example, sea lamprey) as sample size: Supplementary Table 30 provides confidence intervals, degrees of freedom and P values. For cases that reached significance, to confirm that the number of hits between two species was independent of the number of protein-coding genes located on the chromosome of the query organism, we applied a gene density-normalization test to rule out the possibility that the chromosomes with most gene hits were owing to them containing the most genes: we did not find such correlations with our macrosynteny analyses.

Macrosynteny within species in approximately 10-Mb windows

We primarily used the human genome, as it is the best assembled genome and therefore subject to generating fewer errors. We listed all genes found in a 10-Mb window from the present OTR-VTRs (for example, OTR, VTR1A, VTR1B and VTR2C in mammals) as well as absent ones (for example, VTR2A and VTR2B, which are absent in mammals). We chose a 10-Mb window because this genomic region size often captured macrosynteny of >40 genes, allowing within- and between-species macrosynteny analyses described in ‘Macrosynteny between species in approximately 100-gene windows’ to be comparable. We then searched each gene in the HUGO Gene Nomenclature Committee Database ( to classify its gene-family. For the deleted genes, we defined their territories by manually identifying in the human genome the genes around spotted gar VTR2B and chicken VTR2A; some of these syntenies around the deleted OTR-VTRs had previously been identified8,9, which we confirmed.

Evolutionary history analyses of OT and VT

We noted annotated DNA transposable elements in the UCSC Genome Browser in close vicinity of the OT and VT genes (except for the elephant shark genome, which was not annotated for DNA transposable elements), and thus we quantitatively searched for adjacent transposable elements in the human and chimpanzee genomes using RepeatMasker ( and obtained information for each specific transposable element using Dfam 2.012. We calculated GC content using ENDMEMO ( We aligned the introns of human OT and VT in all possible combinations using DIALIGN42 and compared intron lengths using Serial Cloner v.2.6 ( For relative OT and VT orientations, we examined whether they were in the same direction (tail-to-head) or in opposite directions (tail-to-tail) in the annotated positions in each species. In the cases in which OT and VT were found in opposite directions, we determined which gene was inverted according to the orientation of other genes in the territory. In addition to the genomes used for all other analyses of this study (Supplementary Table 2), we also used the koala (Phascolarctos cinereus) (phaCin_unsw_v4.1; GCF_002099425.1) and the grey short-tailed opossum (Monodelphis domestica) (MonDom5; GCF_000002295.2) genomes to include orientation data from the marsupial clade in Supplementary Table 8.

Evolutionary history analyses of OTR-VTRs

To assess in which ancestral vertebrate chromosomes the OTR-VTRs originated, we used four ancestral chromosome models from the literature14,23,25,27, in which the reconstructed chromosomes were based on different species and different genome qualities. Specifically, human, mouse, dog, chicken and tetraodon genomes were used in ref. 23; human, chicken, stickleback, pufferfish, sea squirt, amphioxus, sea urchin, fruitfly and sea anemone genomes in ref. 27; human, chicken and sea lamprey (somatic) genomes in ref. 25; and chicken, spotted gar and sea lamprey (germline) genomes in ref. 14. We searched for the presence of annotated OTR-VTRs in four outgroup invertebrate lineages (through literature review, BLAST and BLAT searches)—namely in sea squirt, roundworm, California sea hare and amphioxus. For the amphioxus genome (B. floridae v.2.0), we performed BLAT queries on OTR-VTR FASTA sequences from all species studied using the JGI genome browser (

To test which sea lamprey receptor(s) most probably represents the orthologous ancestral gene(s), we compared the sea lamprey OTR-VTRs in all possible combinations to each other using BLASTn (same parameters). We compared the exons and introns of the identified genes separately to understand the divergence of the paralogous genes, following a previously proposed paradigm43, using the maximum score and per cent identities of the comparisons that were above the threshold (maximum score >40 and E value < 10−4). We performed a similar analysis for VTR1B and VTR2A in elephant shark and coelacanth, to test whether sequence identity can help to solve ancestry questions. To shed light on the orthology between the inshore hagfish and the sea lamprey OTR-VTRs, we compared their exons and introns as well.

To analyse conserved non-coding RNA synteny around the OTR-VTRs, we looked for them in alignments in all the species studied in Ensembl, in the miRbase (; release 22), and the miRviewer44 database (28 February 2012 update). We aligned (BLASTn) long non-coding RNA regions within species (sea lamprey and human).

Gene tree phylogeny analyses

Exonic nucleotide tree

Exonic sequences from all the OTR-VTRs from representative species that had the most-complete assembled genes were aligned with MAFFT under the E-INS-i parameter set, which is optimized for sequences with multiple conserved domains and long gaps. Any incomplete non-lamprey OTR-VTR of less than 1,000 bp was excluded, as alignments on short sequences often lack power to resolve species relationships, resulting in weakly supported gene trees. Because of the basal phylogenetic position of the lamprey, all lamprey OTR-VTRs (754 bp and longer) were included. From this alignment, we generated a phylogenetic maximum likelihood tree using GTRGAMMA model of RAXML (version 8.2.10)45, with 1,000 replicates. We calculated the GC content of all the exonic sequences using (Supplementary Table 13).

Protein amino acid tree

A maximum likelihood phylogenetic tree was constructed on one representative amino acid sequence for every gene in every species, using TreeFAM and TreeBeST5 pipeline in the gene tree tool package of Ensembl ( Thereafter, we manually curated the Ensembl tree (gene tree identifier: ENSGT00760000119156) using the universal nomenclature that we propose here. All the sequences used to generate both trees, sequence alignments and Newick files can be found at

Reporting summary

Further information on research design is available in the Nature Research Reporting Summary linked to this paper.

Data availability

All the data used in this study can be found in Supplementary Tables 2–30, and at Any other relevant data are available from the corresponding authors upon request.

Code availability

The code used in this study can be found at and


  1. 1.

    Knobloch, H. S. & Grinevich, V. Evolution of oxytocin pathways in the brain of vertebrates. Front. Behav. Neurosci. 8, 31 (2014).

    PubMed  PubMed Central  Google Scholar 

  2. 2.

    Meyer-Lindenberg, A., Domes, G., Kirsch, P. & Heinrichs, M. Oxytocin and vasopressin in the human brain: social neuropeptides for translational medicine. Nat. Rev. Neurosci. 12, 524–538 (2011).

    CAS  PubMed  Google Scholar 

  3. 3.

    Rhie, A. et al. Towards complete and error-free genome assemblies of all vertebrate species. Nature (2021).

  4. 4.

    Jebb, D. et al. Six reference-quality bat genomes reveal evolution of bat adaptations. Nature 583, 578–584 (2020).

    ADS  CAS  PubMed  Google Scholar 

  5. 5.

    Hoyle, C. H. Neuropeptide families and their receptors: evolutionary perspectives. Brain Res. 848, 1–25 (1999).

    CAS  PubMed  Google Scholar 

  6. 6.

    Acher, R. & Chauvet, J. Structure, processing and evolution of the neurohypophysial hormone–neurophysin precursors. Biochimie 70, 1197–1207 (1988).

    CAS  PubMed  Google Scholar 

  7. 7.

    Ocampo Daza, D., Lewicka, M. & Larhammar, D. The oxytocin/vasopressin receptor family has at least five members in the gnathostome lineage, inclucing two distinct V2 subtypes. Gen. Comp. Endocrinol. 175, 135–143 (2012).

    CAS  PubMed  Google Scholar 

  8. 8.

    Yamaguchi, Y. et al. The fifth neurohypophysial hormone receptor is structurally related to the V2-type receptor but functionally similar to V1-type receptors. Gen. Comp. Endocrinol. 178, 519–528 (2012).

    CAS  PubMed  Google Scholar 

  9. 9.

    Lagman, D. et al. The vertebrate ancestral repertoire of visual opsins, transducin alpha subunits and oxytocin/vasopressin receptors was established by duplication of their shared genomic region in the two rounds of early vertebrate genome duplications. BMC Evol. Biol. 13, 238 (2013).

    PubMed  PubMed Central  Google Scholar 

  10. 10.

    Mayasich, S. A. & Clarke, B. L. The emergence of the vasopressin and oxytocin hormone receptor gene family lineage: clues from the characterization of vasotocin receptors in the sea lamprey (Petromyzon marinus). Gen. Comp. Endocrinol. 226, 88–101 (2016).

    CAS  PubMed  Google Scholar 

  11. 11.

    Jaillon, O. et al. Genome duplication in the teleost fish Tetraodon nigroviridis reveals the early vertebrate proto-karyotype. Nature 431, 946–957 (2004).

    ADS  PubMed  Google Scholar 

  12. 12.

    Hubley, R. et al. The Dfam database of repetitive DNA families. Nucleic Acids Res. 44, D81–D89 (2016).

    CAS  PubMed  Google Scholar 

  13. 13.

    Gwee, P. C., Tay, B. H., Brenner, S. & Venkatesh, B. Characterization of the neurohypophysial hormone gene loci in elephant shark and the Japanese lamprey: origin of the vertebrate neurohypophysial hormone genes. BMC Evol. Biol. 9, 47 (2009).

    PubMed  PubMed Central  Google Scholar 

  14. 14.

    Smith, J. J. et al. The sea lamprey germline genome provides insights into programmed genome rearrangement and vertebrate evolution. Nat. Genet. 50, 270–277 (2018).

    CAS  PubMed  PubMed Central  Google Scholar 

  15. 15.

    Kawada, T., Sekiguchi, T., Itoh, Y., Ogasawara, M. & Satake, H. Characterization of a novel vasopressin/oxytocin superfamily peptide and its receptor from an ascidian, Ciona intestinalis. Peptides 29, 1672–1678 (2008).

    CAS  PubMed  Google Scholar 

  16. 16.

    Garrison, J. L. et al. Oxytocin/vasopressin-related peptides have an ancient role in reproductive behavior. Science 338, 540–543 (2012).

    ADS  CAS  PubMed  PubMed Central  Google Scholar 

  17. 17.

    Liutkeviciute, Z., Koehbach, J., Eder, T., Gil-Mansilla, E. & Gruber, C. W. Global map of oxytocin/vasopressin-like neuropeptide signalling in insects. Sci. Rep. 6, 39177 (2016).

    ADS  CAS  PubMed  PubMed Central  Google Scholar 

  18. 18.

    Roch, G. J., Tello, J. A. & Sherwood, N. M. At the transition from invertebrates to vertebrates, a novel GnRH-like peptide emerges in amphioxus. Mol. Biol. Evo. 31, 765–778 (2013).

    Google Scholar 

  19. 19.

    Wicker, T. et al. A unified classification system for eukaryotic transposable elements. Nat. Rev. Genet. 8, 973–982 (2007).

    CAS  PubMed  Google Scholar 

  20. 20.

    Rayko, E., Jabbari, K. & Bernardi, G. The evolution of introns in human duplicated genes. Gene 365, 41–47 (2006).

    CAS  PubMed  Google Scholar 

  21. 21.

    Lovell, P. V. et al. Conserved syntenic clusters of protein coding genes are missing in birds. Genome Biol. 15, 565 (2014).

    PubMed  PubMed Central  Google Scholar 

  22. 22.

    Lyons, E. & Freeling, M. How to usefully compare homologous plant genes and chromosomes as DNA sequences. Plant J. 53, 661–673 (2008).

    CAS  PubMed  Google Scholar 

  23. 23.

    Nakatani, Y., Takeda, H., Kohara, Y. & Morishita, S. Reconstruction of the vertebrate ancestral genome reveals dynamic genome reorganization in early vertebrates. Genome Res. 17, 1254–1265 (2007).

    CAS  PubMed  PubMed Central  Google Scholar 

  24. 24.

    Nakatani, Y. & McLysaght, A. Genomes as documents of evolutionary history: a probabilistic macrosynteny model for the reconstruction of ancestral genomes. Bioinformatics 33, i369–i378 (2017).

    CAS  PubMed  PubMed Central  Google Scholar 

  25. 25.

    Smith, J. J. et al. Sequencing of the sea lamprey (Petromyzon marinus) genome provides insights into vertebrate evolution. Nat. Genet. 45, 415–421, e1–e2 (2013).

    CAS  PubMed  PubMed Central  Google Scholar 

  26. 26.

    Uno, Y. et al. Inference of the protokaryotypes of amniotes and tetrapods and the evolutionary processes of microchromosomes from comparative gene mapping. PLoS ONE 7, e53027 (2012).

    ADS  CAS  PubMed  PubMed Central  Google Scholar 

  27. 27.

    Putnam, N. H. et al. The amphioxus genome and the evolution of the chordate karyotype. Nature 453, 1064–1071 (2008).

    ADS  CAS  PubMed  Google Scholar 

  28. 28.

    Yun, S. et al. Prevertebrate local gene duplication facilitated expansion of the neuropeptide GPCR superfamily. Mol. Biol. Evol. 32, 2803–2817 (2015).

    CAS  PubMed  Google Scholar 

  29. 29.

    Zhang, H. et al. Lampreys, the jawless vertebrates, contain only two ParaHox gene clusters. Proc. Natl Acad. Sci. USA 114, 9146–9151 (2017).

    CAS  PubMed  Google Scholar 

  30. 30.

    Song, Z. & Albers, H. E. Cross-talk among oxytocin and arginine-vasopressin receptors: relevance for basic and clinical studies of the brain and periphery. Front. Neuroendocrinol. 51, 14–24 (2018).

    CAS  PubMed  Google Scholar 

  31. 31.

    Kumar, S. & Hedges, S. B. A molecular timescale for vertebrate evolution. Nature 392, 917–920 (1998).

    ADS  CAS  PubMed  Google Scholar 

  32. 32.

    Buechi, H. B. & Bridgham, J. T. Evolution of specificity in cartilaginous fish glycoprotein hormones and receptors. Gen. Comp. Endocrinol. 246, 309–320 (2017).

    CAS  PubMed  Google Scholar 

  33. 33.

    Venkatesh, B. et al. Elephant shark genome provides unique insights into gnathostome evolution. Nature 505, 174–179 (2014).

    ADS  CAS  PubMed  PubMed Central  Google Scholar 

  34. 34.

    Smith, J. J. & Keinath, M. C. The sea lamprey meiotic map improves resolution of ancient vertebrate genome duplications. Genome Res. 25, 1081–1090 (2015).

    CAS  PubMed  PubMed Central  Google Scholar 

  35. 35.

    Miyashita, T. et al. Hagfish from the Cretaceous Tethys Sea and a reconciliation of the morphological–molecular conflict in early vertebrate phylogeny. Proc. Natl Acad. Sci. USA 116, 2146–2151 (2019).

    ADS  CAS  PubMed  Google Scholar 

  36. 36.

    Green, R. E. et al. Three crocodilian genomes reveal ancestral patterns of evolution among archosaurs. Science, 346, 1254449 (2014).

    PubMed  PubMed Central  Google Scholar 

  37. 37.

    Heimberg, A. M., Cowper-Sal Lari, R., Sémon, M., Donoghue, P. C. J. & Peterson, K. J. microRNAs reveal the interrelationships of hagfish, lampreys, and gnathostomes and the nature of the ancestral vertebrate. Proc. Natl Acad. Sci. USA 107, 19379–19383 (2010).

    ADS  CAS  PubMed  Google Scholar 

  38. 38.

    Kent, W. J. BLAT—the BLAST-like alignment tool. Genome Res. 12, 656–664 (2002).

    CAS  PubMed  PubMed Central  Google Scholar 

  39. 39.

    Altschul, S. F., Gish, W., Miller, W., Myers, E. W. & Lipman, D. J. Basic local alignment search tool. J. Mol. Biol. 215, 403–410 (1990).

    CAS  PubMed  Google Scholar 

  40. 40.

    Haug-Baltzell, A., Stephens, S. A., Davey, S., Scheidegger, C. E. & Lyons, E. SynMap2 and SynMap3D: web-based whole-genome synteny browsers. Bioinformatics 33, 2197–2198 (2017).

    CAS  PubMed  Google Scholar 

  41. 41.

    Zerbino, D. R. et al. Ensembl 2018. Nucleic Acids Res. 46, D754–D761 (2018).

    CAS  Google Scholar 

  42. 42.

    Morgenstern, B., Prohaska, S. J., Pöhler, D. & Stadler, P. F. Multiple sequence alignment with user-defined anchor points. Algorithms Mol. Biol. 1, 6 (2006).

    PubMed  PubMed Central  Google Scholar 

  43. 43.

    Xu, G., Guo, C., Shan, H. & Kong, H. Divergence of duplicate genes in exon–intron structure. Proc. Natl Acad. Sci. USA 109, 1187–1192 (2012).

    ADS  CAS  PubMed  Google Scholar 

  44. 44.

    Kiezun, A. et al. miRviewer: a multispecies microRNA homologous viewer. BMC Res. Notes 5, 92 (2012).

    CAS  PubMed  PubMed Central  Google Scholar 

  45. 45.

    Stamatakis, A. RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies. Bioinformatics 30, 1312–1313 (2014).

    CAS  PubMed  PubMed Central  Google Scholar 

  46. 46.

    Yachdav, G. et al. MSAViewer: interactive JavaScript visualization of multiple sequence alignments. Bioinformatics 32, 3501–3503 (2016).

    CAS  PubMed  PubMed Central  Google Scholar 

  47. 47.

    Gimpl, G. & Fahrenholz, F. The oxytocin receptor system: structure, function, and regulation. Physiol. Rev. 81, 629–683 (2001).

    CAS  PubMed  Google Scholar 

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We thank the leadership of the VGP for early access to high-quality assemblies: in particular, S. Vernes for the pale spear-nosed bat of the Bat1K; G. Zhang for the platypus; and the B10K group for the Anna’s hummingbird and zebra finch assemblies. We thank many colleagues—especially D. Larhammar, Y. Nakatani and J. Smith—for useful discussions on the revised gene nomenclature and findings of this study, and also for their feedback on how to assess genome duplications. C.T. was supported by funds from the Rockefeller University and the Generalitat de Catalunya; G.G. from the Rockefeller University and an NSF Graduate Research Fellowships Program (GRFP); J.A.C. from the Rockefeller University; C.B. from the Spanish Ministry of Economy and Competitiveness/FEDER (grant FFI2016-78034-C2-1-P), MEXT/JSPS Grant-in-Aid for Scientific Research on Innovative Areas 4903 (Evolinguistics: JP17H06379; principal investigator K. Okanoya) and Generalitat de Catalunya (Government of Catalonia) – 2017-SGR-341; and E.D.J. from the Howard Hughes Medical Institute and the Rockefeller University.

Author information




C.T. conceived the idea, developed the evolutionary proposal, performed BLAST, BLAT, synteny, ancestral, phylogenetic (protein), long non-coding RNA and transposable element analyses, reviewed the literature, made all Figures and Tables and wrote the first draft. G.G. performed BLAST, BLAT and synteny analyses. J.A.C. performed phylogenetic exon tree analyses. C.B. cosupervised the study. E.D.J. conceived the idea, cosupervised the study, proposed the revised nomenclature and helped to write the manuscript. All authors contributed to editing the manuscript.

Corresponding authors

Correspondence to Constantina Theofanopoulou or Erich D. Jarvis.

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Competing interests

The authors declare no competing interests.

Additional information

Peer review information Nature thanks Jeramiah Smith and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Extended data figures and tables

Extended Data Fig. 1 Lineage specific OT-VT specializations.

a, Protein phylogenetic tree for VT in hagfish and lamprey relative to other vertebrates. Maximum likelihood amino acid phylogenetic tree generated via the Ensembl ‘Gene tree’ tool (gene tree identifier: ENSGT00390000004511) that uses the Gene Orthology/Paralogy prediction method pipeline. The longest available protein of each species was used. The tree is reconciled with a species tree, generated by TreeBeST. Left, red boxes, inferred gene duplication node; blue boxes, inferred speciation events; turquoise boxes, ambiguous nodes. Right, green bars, multiple amino acid alignment made with MUSCLE; white areas, gaps in the alignment; dark green bars, consensus alignments. We curated the tree and renamed genes using the universal nomenclature proposed in this Article. The tree with the current nomenclature used in the annotations of these genomes can be found at;db=core;gt=ENSGT00390000004511. b, Triplication of the pale spear-nosed bat OT-VT region. An approximately10-gene window of synteny between human, megabat and pale spear-nosed bat is shown. In megabat, OT, VT and their syntenic genes are found in three different scaffolds (three boxes). In the pale spear-nosed bat with a higher-quality assembly, a syntenic triplication of the OT-VT region is found. c, gEVAL alignment analyses ( This panel shows gapless Pacbio-based long-read contigs (dark blue) and gapless Bionano optical maps (yellow), which span through the entire region with the OT and VT duplications in the pale spear-nosed bat, without any noticeable assembly errors.

Extended Data Fig. 2 Lost VTR receptors in human, representative of mammals.

a, Genomic territory of the deleted VTR2B in the human genome. The genomic territory before the spotted gar VTR2B (top) was found in human chromosome 3 (49–51 Mb), 40 Mb after the location of human OTR (bottom). The genomic territory before the spotted gar VTR2B was also found in human chromosome 3 (3–5 Mb), 5 Mb before the location of human OTR. Text colours denote orthologous genes. Solid black region links two different regions on chromosome 3 in the human genome. b, Genomic territory of the deleted VTR2A in the human genome. The genomic territory before the chicken VTR2A (top) was found in human chromosome 7 (100–115 Mb) (bottom). The genomic territory after the chicken VTR2A was found in human chromosome 12 (40–43 Mb). The solid back region links two regions from chromosomes 7 and 12 in the human genome.

Extended Data Fig. 3 Macrosynteny SynFind analyses.

ad, Comparisons between closely related species (human and chimpanzee) for four receptors, showing maximum syntenies found using this method. eh, Comparisons between intermediately related species (human and chicken) for the same four receptors in ad. il, Comparisons between distantly related species (human and fish). mp, Comparisons between distantly related non-human species. On the x axis, 0 represents the query OTR-VTR in the query organism and the numbers represent the number of genes on the 5′ (left) and 3′ (right) of the query OTR-VTR in the genome. The y axis shows the cumulative number of the matched homologous (orthologous or paralogous) syntenic genes in the reference genome for each reference receptor. For example, in a the chimpanzee OTR region (red line) shows 17 syntenic gene matches within 20 genes 5′ (left) of human OTR, and 18 matches within 20 genes 3′ (right) of human OTR. If the reference OTR-VTR does not show any match, then it is 0 on the y axis (for example, the chimpanzee VTR1B (shown in green in a)); if the reference OTR-VTR matches only the query OTR-VTR, it reaches 1 (for example, chimpanzee VTR1A (shown in in blue in d) was orthologous only to human VTR2C). If the reference OTR-VTR is not orthologous to the query OTR-VTR, but does show gene matches in the neighbouring territory, then it indicates a deletion of the receptor in the query species (for example, chicken VTR1A (shown in blue in f)).

Extended Data Fig. 4 Additional chromosomal SynMap2 analyses with lamprey and hagfish.

Bar graphs were created from dot plots. a, Additional scaffold in sea lamprey (scaffold 49) with a VTR gene is most syntenic with chromosomes of other species containing a VTR1-VTR2 combination, with a 3-gene minimum per 20-gene window criterion. b, SynMap2 dot plot between sea lamprey scaffold 49 and scaffolds 10 and 27, with a 3-gene minimum per 10- gene window criterion. c, The inshore hagfish scaffold FYBX02010521.1, in which the putative VTR2 is located, is most syntenic with chromosomes of other species containing a VTR2A or VTR2B sequence, with a 1-gene minimum per 20-gene window criterion. d, Same synteny analyses as in c, but with a 2-gene minimum per 20-gene window criterion. e, The inshore hagfish scaffold FYBX02010841.1, in which the putative VTR1 is located, is most syntenic with chromosomes of other species containing a VTR1A or OTR sequence, with a 1-gene minimum per 20-gene window criterion. f, Same synteny analyses as in e, but with a 2-gene minimum per 20-gene window criterion.

Extended Data Fig. 5 Interspecies BLASTn comparisons between exons and introns of all sea lamprey OTR-VTRs in multiple combinations.

a, Three-way comparisons of sea lamprey VTR1A, VTR2A and VTR2B exons (boxes) and introns (lines), and two-way comparisons of OTRa and VTR2B. b, Two-way comparisons of sea lamprey exons and introns of VTR2B with VTR2A, and OTRa with VTR1A. Maximum scores and per cent identities are shown for the alignments that exceed a threshold (maximum score > 40 and E value < 10−4). Sequence length is shown in bp.

Extended Data Fig. 6 Interspecies non-coding RNA paralogous synteny analyses.

a, Long non-coding RNAs around the OTR and VTR1 genes within human. b, Long non-coding RNAs around the OTR-VTRs in sea lamprey. Lines connect the long non-coding RNAs that shared identity beyond a threshold (maximum score > 40 and E value < 10−4) in the BLASTn comparisons. Maximum score (bit score) and per cent identity are shown for each pair of long non-coding RNAs. Genomic location is in Mb.

Extended Data Fig. 7 Intraspecies BLASTn comparisons between exons and introns of OTR-VTRs.

a, Two-way comparisons of exons (boxes) and introns (lines) of elephant shark VTR1B with sea lamprey VTR1A and OTRa. b, Two-way comparisons of exons and introns of coelacanth VTR2C with sea lamprey VTR2A and OTRa. Maximum scores and per cent identities are shown for the alignments that yielded results beyond a threshold (maximum score > 40 and E value <10−4). Sequence length is shown in bp.

Extended Data Fig. 8 Protein phylogenetic tree for OTR-VTRs with the currently used gene nomenclature.

The same amino acid tree as in Fig. 4b, but labelled with the nomenclature used to date. Further variations within large vertebrate groups, such as tetrapods (for example, VT1 to VT4 in birds, AVPR3 in mammals and AVPR4 in fish), are not shown.

Extended Data Fig. 9 Microsynteny for VTR2A across vertebrates and VTR2A and OTRb within sea lamprey.

An approximately 14-gene window around the VTR2A orthologue across species is shown. In the sea lamprey, OTRb is our revised nomenclature for PMZ_0045207-RA/PMZ_0032217-RA on scaffold 49 (Supplementary Table 14), and VTR2A is our revision for PMZ_0042163-RA on scaffold 10 (Supplementary Table 14). Orthologous genes are filled with the same colour; genes found in the territory of the sea lamprey are further outlined in black lines. Further discussion is provided in Supplementary Note 2.

Extended Data Fig. 10 MAFFT alignment of the OTR-VTRs of the best-quality assemblies available (human for OTR, VTR1A, VTR1B and VTR2C; zebra finch for VTR2A; and clingfish for VTR2B).

The MAFFT alignment using the FFT-NS-I parameter was visualized with the MSA viewer46. The identifiers and protein sequences used, along with the alignment file can be found in The functional annotation of transmembrane domains (TM) and intracellular loops (IT) and binding domains is based on findings with OTR47. Amino acids marked with an asterisk are the OT polar-interacting sites to the receptor; amino acids marked with a # are differences between the VTR1 and VTR2 subfamilies. Colour coding of the amino acids is according to Clustal X (blue, hydrophobic; red, positive charge; green, polar; pink, cysteines; orange, glycines; yellow, prolines; cyan, aromatic;

Supplementary information

Supplementary Information

This file contains Supplementary Notes 1-10, Supplementary Tables 1 and 31, and Supplementary Figures 1-7.

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This file contains Supplementary Tables 2-30. (XLSX)

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Theofanopoulou, C., Gedman, G., Cahill, J.A. et al. Universal nomenclature for oxytocin–vasotocin ligand and receptor families. Nature 592, 747–755 (2021).

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