Skip to main content
  • Research article
  • Open access
  • Published:

Frequent birth-and-death events throughout perforin-1 evolution

Abstract

Background

Through its ability to open pores in cell membranes, perforin-1 plays a key role in the immune system. Consistent with this role, the gene encoding perforin shows hallmarks of complex evolutionary events, including amplification and pseudogenization, in multiple species. A large proportion of these events occurred in phyla for which scarce genomic data were available. However, recent large-scale genomics projects have added a wealth of information on those phyla. Using this input, we annotated perforin-1 homologs in more than eighty species including mammals, reptiles, birds, amphibians and fishes.

Results

We have annotated more than 400 perforin genes in all groups studied. Most mammalian species only have one perforin locus, which may contain a related pseudogene. However, we found four independent small expansions in unrelated members of this class. We could reconstruct the full-length coding sequences of only a few avian perforin genes, although we found incomplete and truncated forms of these gene in other birds. In the rest of reptilia, perforin-like genes can be found in at least three different loci containing up to twelve copies. Notably, mammals, non-avian reptiles, amphibians, and possibly teleosts share at least one perforin-1 locus as assessed by flanking genes. Finally, fish genomes contain multiple perforin loci with varying copy numbers and diverse exon/intron patterns. We have also found evidence for shorter genes with high similarity to the C2 domain of perforin in several teleosts. A preliminary analysis suggests that these genes arose at least twice during evolution from perforin-1 homologs.

Conclusions

The assisted annotation of new genomic assemblies shows complex patterns of birth-and-death events in the evolution of perforin. These events include duplication/pseudogenization in mammals, multiple amplifications and losses in reptiles and fishes and at least one case of partial duplication with a novel start codon in fishes.

Background

Pore formation is an important step in the immune response in at least three settings: against extracellular bacteria, against virus-infected, cancer or senescent cells and against intracellular bacteria [1]. Regarding the second setting, killing damaged or malfunctioning endogenous cells (immunosurveillance) not only protects the organism against external viruses, but also fights tumor development and premature aging. In fact, this activity is linked to hallmarks of cancer (avoid immune destructuion and tumor-promoting inflammation) [2] and aging (altered intercellular communication) [3].

In vertebrates, pore formation during immunosurveillance is carried out by the product of the perforin-1 gene (PRF1). According to two prevalent models, pores open by PRF1, either in the plasma membrane or after endocytosis in the endosomal membrane, allow pro-apoptotic granzymes to enter the cytosol of target cells [4]. Consistent with this role, it has been recently shown that mice deficient in perforin-1 (Prf1-/-) display increased tumor burden in a mammary tumor model [5]. In a separate work, Prf1-/- mice were also shown to suffer accelerated aging through accumulation of senescent cells [6].

Perforin-1 belongs to the membrane attack complex / perforin family (MACPF), which includes pore-forming and development-related proteins [7, 8]. All MACPF members contain a signal peptide and an MACPF domain, although different sub-families display widely diverse combinations of ancillary domains. Thus, PRF1 orthologs consist of a signal peptide, an MACPF domain, an EGF-like domain and a C2-like domain. Upon Ca2+-dependent binding of the C2 domain to a membrane of the target cell, perforin monomers assemble into pores in a fast process that allows the delivery of granzymes before the exocytic repair response reseals that membrane [9].

Given the involvement of PRF1 in immunity, cancer and aging, its coding gene is expected to be under selective pressure. In this regard, previous work have shown frequent and complex events of gene gain and loss throughout evolution [10, 11]. While annotating the genomes of giant tortoises [12], we observed multiple new gene amplifications and deletions in reptiles. Some of these events were hard to detect by automatic annotation, and they were only evident after applying our expertise-assisted annotation algorithm. We therefore decided to apply this annotation pipeline to novel and improved publicly available genome assemblies to improve our understanding of PRF1 evolution.

Results

We studied genome assemblies of 87 species, including mammals, reptiles, birds, amphibians and fishes, as well as several outgroups (Fig. 1, Additional file 1). By using assisted annotation and manual curation, we annotated 405 sequences, including 73 classified as pseudogenes due to the presence of early stop codons (Additional files 2-7). To identify probably conserved loci, we also searched for flanking genes from the sets of automatically annotated genes (Additional file 1). An alignment of sequences from every group shows the conservation of functional residues, including the MACPF signature motif, the MACPF GGXnW motif [7] and the C2 Ca2+-binding site (Fig. 1). The conservation of these motives suggests that the annotated genes produce proteins that share biochemical traits and belong to the same family.

Fig. 1
figure 1

Vertebrate perforin-1 genes. a phylogenetic relationships between annotated species. For each species, the number of putatively functional (N) and pseudogenized (Ψ) genes is shown. b representative alignment of annotated perforin-1 amino acid sequences. Key residues in each motif are highlighted with an arrow. Numbers correspond to the human protein. Hsap, Homo sapiens; Ecab, Equus caballus; Bbon, Balaenoptera bonaerensis; Ttru, Tursiops truncatus; Eeur, Erinaceus europaeus; Lafr, Loxodonta africana, Dnov, Dasypus novemcinctus; Pcin, Phascolarctos cinereus; Oana, Ornithorhynchus anatinus; Acar, Anolis carolinensis; Cpic, Chrysemys picta; Ggal, Gallus gallus; Xtro, Xenopus tropicalis; Olat, Oryzias latipes; Amex, Astyanax mexicanus; Drer, Danio rerio; Cpla, Chiloscyllium plagiosum

Mammals

Most mammalian genomes (Fig. 1, brown box) contain one functional PRF1 gene (Fig. 2). In the case of the Euarchontoglires analyzed (humans, mice and naked mole rats), we have not found any other PRF1-related sequence. As described earlier in [10], this gene sits between ADAMTS14 and PALD1 (also known as KIAA1274). In almost all Afrotheria and Laurasiatheria, including Cetacea, we also found a pseudogene in the same locus, closer to ADAMTS14. The only exceptions come from the star-nosed mole (Condylura cristata), the hedgehog (Erinaceus europaeus) and the hawaiian monk seal (Neomonachus schauinslandi). The genomes of these species show two functional PRF1 genes, one at the ADAMTS14-PALD1 locus and one at a different locus. The flanking genes in the additional locus are not related in these species, which suggests that these novel genes appeared independently. A phylogenetic analysis of the protein sequences supports this hypothesis (Additional file 8).

Fig. 2
figure 2

Evolution of mammalian, non-avian-reptile and amphibian perforin-1 loci. Left, phylogenetic relationship between selected species. Right, main PRF1 loci. Perforin-1 is depicted to scale with intron/exon junctions. Other genes are shown as blocks and may be cropped for ease of presentation

This simple arrangement is more complex in other mammals. Thus, the genome of the armadillo (Dasypus novemcinctus) shows three PRF1 genes and two related pseudogenes at the same locus as humans (Fig. 2). According to the phylogenetic analysis, these genes arose in armadillo-specific duplication events (Additional file 8). The arrangement of perforins is particularly interesting in the two non-Eutherian mammals that we have analyzed. Thus, both the genomes of koalas (Phascolarctos cinereus) and platypus (Ornithorhyncus anatinus) show one additional PRF1 locus, between syntaxin-4 (STX4) and ZNF668 (Fig. 2). This extra perforin-1 in koalas was classified as a pseudogene.

These results are compatible with the existence of two ancestral mammalian PRF1 loci, ADAMTS14-PALD1 and STX4-ZNF646, the latter arising from some common ancestor to, at least, all mammals. Then, a common ancestor to all Eutheria (Fig. 2, inside the brown box) lost the STX4-ZNF646 locus (koalas seem to have lost the corresponding gene independently by pseudogenization). During mammalian evolution, different lineage-specific gene duplications, pseudogenizations and losses have increased the number of PRF1 genes independently. The only likely common events would be a duplication/pseudogenization event in Boroeutheria at the ADAMTS14-PALD1 locus and the loss of the resulting pseudogene in Euarchontoglires.

Sauria

We also annotated perforin genes in the genomes of 43 species of sauria (Fig. 1, green boxes). The results showed widely different evolutionary patterns, as suggested by previous studies [10, 12]. Fortunately, the improved genomic assemblies for many of these species have allowed a more detailed view of perforin-1 evolution.

Non-avian sauria

In all Bifurcata, Cryptodira and Crocodylia (Fig. 1, light green box), we have found evidence for the STX4-ZNF646 locus (Fig. 2). The only exception was in the two longirostres (Crocodylia) analyzed, whose genomes contain unique loci. Notably, the sole PRF1 locus in Crocodylus porosus contains a pseudogene, which would make it the only non-avian Gnastomata species without any functional perforin-1 in its genome. However, absence of a gene in a genome assembly does not prove absence of said gene in the genome of the species. Several members of clade Toxicofera present a specific locus characterized by a flanking PARP2 gene. Finally, turtles display multiple copies of PRF1 within the STX4-ZNF646 locus, consistent with specific events of tandem gene amplification in this group.

Birds

Taking advantage of recent efforts aimed at the sequencing and assembly of avian genomes [13], we have annotated perforin-1 in 30 birds (Fig. 1, dark green box). At this time we were able to annotate full-length, putatively functional avian perforin-1 genes in chicken (Gallus gallus) and turkey (Meleagris gallopavo). We also found partial PRF1-like sequences in other seven bird genomes (Fig. 3). These include two putative copies of this gene in zebra finch (Taeniopygia guttata) and in Phoenicopterus ruber.

Fig. 3
figure 3

Avian perforin-1 genes. For each bird species, annotated perforin-1 sequences are depicted according to the status and completeness of the prediction

We did not find any evidence of functional perforin-1 genes in most avian genomes. However, we observed that most of the partial perforin-like sequences are located in small contigs and share little similarity, which suggests that the avian PRF1 locus may be hard to rebuild. Therefore, we looked for evidence of expression of these putative perforins. After compiling a set of publicly available RNA-Seq experiments on zebra finches (Additional file 9), we looked for reads displaying similarity to the partial sequences we had annotated. With this approach, we found multiple reads supporting the expression of the annotated sequences. Moreover, partially overlapping reads allowed us to infer parts of the PRF1-like gene which showed low similarity to other perforins. This result supports the hypothesis that avian perforin-1 loci are hard to identify, and hence other birds may have versions of the gene that cannot be annotated by similarity.

Amphibians

To better characterize the perforin-1 loci in Tetrapoda, we annotated four amphibian genome assemblies (Fig. 1, pink box). These amphibians included one ranoidea (Rhinatrema bivittatum), in whose genome we found one STX4-ZNF646 locus containing a putatively functional PRF1 gene and a pseudogene. However, we did not find evidence of this locus in the genomes of three Anura analyzed. By contrast, in these species we found perforin-1 loci containing multiple copies of PRF1 and with flanking genes not located around any other known PRF1 locus (Additional file 5). These results are consistent an STX4-ZNF646 perforin-1 locus in an ancestor to all Tetrapoda which was lost in Anura and not in Ranoidea.

Fishes

In addition to providing a link to ancient Euteleostomi, teleostei display striking genomic versatility [14] and live under unique environmental challenges that make them an interesting model for immune system studies [15]. Therefore, we annotated perforin-1 homologs in the genome assemblies of 10 fish species (Fig. 1, light blue box). In this analysis, we found evidence of numerous duplication events, leading to a total of 125 fish genes and 25 pseudogenes. Although a few shared loci can be identified, most of the annotated sequences belong to species-specific loci, according to the nature of the flanking genes (Additional file 6). Additionally, we found a unique sub-family of smaller PRF1-like genes whose coding sequences only contain a secretion peptide and a C2-like domain. We have tentatively called this sub-family c2PRF1.

To delve into these evolutionary events, we attempted to infer the phylogenetic relationships between the annotated sequences and then interpret the resulting tree according to the accepted fish taxonomical relationships. Thus, we aligned all the inferred fish perforin-1 protein sequences that did not lack significant stretches. We added the sequence of human PRF1 for later use as an outgroup. Then, we searched for trees compatible with the alignment by both Bayesian inference (MrBayes) and maximum parsimony (TNT). Given the complexity of the result, we used Notung to infer the order of duplications and losses. As shown in Fig. 4, this method predicted multiple duplications throughout Teleostei evolution. These include several independent species-specific tandem amplifications, particularly in Astyanax mexicanus, Cyprinus carpio, Esox lucius and Oryzias latipes. The loci where these genes are located seem to be extremely diverse, with quasi-orthologous copies surrounded by unrelated genes. Nevertheless, we found at least three loci with significant, albeit imperfect, conservation. These regions are characterized by MPEG1-like, S100-like and PAQR4-like genes (Fig. 4).

Fig. 4
figure 4

Birth-and-death in fish perforin-1 evolution. Left, phylogenetic relationship between selected teleost species. Middle, Birth-and death events according to a model of maximum parsimony. Duplications are highlighted in red, and predicted gene losses are depicted in grey. Branches showing conserved loci are highlighted in brown. Right, selected PRF1 loci corresponding to branches in the birth-and-death tree

One of the possible mechanisms for bursts of gene duplications with locus diversification is transposon activation [16]. In an exploratory analysis, we looked for known transposon-like sequences inside PRF1 contigs from O. latipes and Danio rerio using FishTEDB. This search located numerous LTR, TIR, LINE and DNA/DNA-type transposons (Additional file 10). Most of these sequences are located in intergenic regions, close to PRF1-like genes. However, we also found several putative transposons in intronic regions, both inside perforins and flanking genes. In the case of O. latipesPRF1f, an LTR-like element is located right upstream of one of the genes, occupying the stretch corresponding to the promoter.

We also investigated the origin of c2PRF1 genes. First, we examined the sequence of their products and confirmed that all of them are expected to possess secretion peptides according to a prediction program (Additional file 11). Then, we aligned the rest of their sequences, except for those with large missing stretches. Since we did not know a priori whether c2PRF1 genes arose before or after perforin-1 genes, we added the C2-like domain of Unc-13 from Caenorhabditis elegans as an outgroup. Unfortunately, the result of this analysis cannot reliably predict the order of appearance of these two sub-families, even if it suggests that c2PRF1 has a more recent origin (Fig. 5). Surprisingly, both inference methods robustly suggest that c2PRF1 genes have two independent origins, most of them early during Teleost evolution and only one (c2PRF1Xb from O. latipes) much later, with a closer common ancestor to other full-length PRF1-like genes.

Fig. 5
figure 5

Structure and origin of fish c2PRF1 genes. a domain composition of full-length perforin-1 (human) and c2PRF1 proteins (zebrafish). b amino acid alignment of c2PRF1 proteins (_X) with human perforin-1. Arrows highlight residues probably involved in Ca2+ binding. Hsa, Homo sapiens; Hco, Hippocampus comes; Ame, Astyanax mexicanus; Cse, Cynoglossus semilaevis; Elu, Esox lucius. c Bayesian inference (left) and maximum-parsimony (right) phylogenetic trees from teleost c2PRF1 (red) and PRF1 (black) protein sequences. Node numbers depict posterior probability (left) or robustness as assessed by bootstrapping (right). Dre, Danio rerio; Ame, Astyanax mexicanus; Ssa, Salmo salar; Rbi, Rhinatrema bivittatum; Ola, Oryzias latipes Cel, Caenorhabditis elegans

Taken together, these results suggest a complex scenario where fish PRF1-like genes were frequently duplicated, with bursts of tandem amplifications possibly driven by transposon jumping. Perhaps as a result of these jumps, a second family of secreted genes, whose products only contain the C2 domain, arose from two separate events.

Cartilaginous fishes

To more precisely establish the origin of perforin-1, we annotated PRF1 homologs in three chodrichtyes genome assemblies (Fig. 1, dark blue box). We found functional copies of this gene in all three species, which suggests that PRF1 arose early during Gnastomata evolution. Notably, all the annotated functional copies show a single exon with no introns. While two of the three species studied display one functional PRF1 gene, Chiloscyllium plagiosum contains 17 putative functional copies of this gene and 8 pseudogenes. The whale shark (Rhincodon typus) presents one partial gene and one full-length PRF1 with in-frame premature stop codons. However, using RNA-Seq databases, we found reads consistent with the premature stop codons being due to assembly artifacts (Additional File 12).

Discussion

In this work, we have used similarity- and expertise-based algorithms to annotate PRF1 homologs in numerous species spanning most major groups belonging to Gnastomata. While much slower than automatic annotation, this approach has two important advantages for this project. First, it allows the annotation of divergent and incomplete genomic stretches if the researcher has access to other sources of information. Second, the researcher has first-hand knowledge of these problems as soon as they are detected. Thus, we were able to find PRF1-like sequences that had not been previously annotated in several genomic assemblies.

The results of these annotations show remarkable variations in the number and context of PRF1 homologs in different taxonomic groups. Mammals seem to have reached a stable configuration with one conserved locus (ADAMTS14-PALD1) that is present in all the species analyzed. In fact, the most parsimonious hypothesis sets the origin of this locus at the last common ancestor of Mammalia. Our results suggest that this ancestral species had at least one additional locus, STX4-ZNF646, which is also present in reptiles, amphibians and perhaps teleosts. Therefore, this locus may have been inherited from a common ancestor to Euteleostomi (Fig. 1).

Thus, we have found STX4-ZNF646 loci in most reptiles. Turtles seem to have experienced tandem duplications of PRF1 at this common locus, as previously shown [12]. Our results in birds, with partial coding sequences confirmed and extended by RNA-Seq reads, are compatible with the existence of PRF1, as previously suggested [17]. Notably, while the turtle Chrysemys picta shows a standard STX4-ZNF646 locus, the related Pelodiscus sinensis has an inverted copy of an STX1-like gene instead of STX4. In fact, the automatic annotation does not identify any STX4-like gene in this assembly. In multiple species, including C. picta, STX1B and STX4 are located in tandem and tail-to-tail (Additional file 13). Therefore, a deletion of the STX4 locus in an ancestor of P. sinensis is enough to explain this result.

In this regard, we have found two teleost loci, one in Salmo salar and one in D. rerio, with an STX1-like flanking gene (also discussed in [10]). However, in D. rerio we have found a clear ortholog of STX4 with no perforin-like flanking genes (Additional file 10). In light of these results, it is possible that these teleost perforins stem from an existing locus from an ancestor to all Euteleostomi. In this scenario, most teleosts have lost this locus, and in other fishes STX4 has been lost or has been transposed. The preliminary state of genome assemblies of Chondrichtyes (cartilaginous fishes) precluded a rigorous study of flanking genes in PRF1 loci. However, we found that all functional PRF1 genes in this group contain one exon, which suggests that they arose after retrotransposition events and therefore their loci are unrelated to those of other species. Further work on the evolution of syntaxins in these species will shed light on the relationships between these PRF1 loci.

Aside from syntaxin-related loci, fishes display the widest variation in number and context of PRF1-like genes. A large proportion of amplifications seems to be species-specific, in an example of evolution through a birth-and-death process [18]. The pattern of duplication bursts with changes of location is reminiscent of amplification by transient activation of transposons. Consistent with this hypothesis, we found multiple transposon-like sequences at perforin-1 loci, both in intergenic and intronic regions. In O. latipes, we have found a gene (PRF1_hcF) with an LTR-like sequence where its promoter should be. This suggests that both sequences might share the same promoter. This situation has been described with DNA transposons, and is hypothesized to be a mechanism that improves the chances of successful fixation of transposons [19].

It has been hypothesized that transposon activation may lead to an adaptive advantage in rapidly shifting environments, such as those faced by an invasive species [20]. These putative activation episodes may mediate genomic instability and duplication of nearby genes through incorrect DNA excision or mismatched homologous recombination. Fixation of these duplicated copies will then depend on genetic drift or positive selection. Therefore, these results suggest that some teleost species may have experienced bursts of DNA transposon-mediated PRF1 duplication which were not deleterious. It is important to notice that at least one study has ascertained the cytolysis-promoting activity of a D. rerio perforin-1 [21]. Further studies will assess the putative positive selection acting on these amplified PRF1 genes, and whether the presence of a larger number of copies may confer adaptive advantages.

This apparent selective pressure acting on teleost perforin-1 may also have led to evolutionary invention of new genes. Thus, we have found a group of PRF1-related genes, tentatively called c2PRF1, which consist of a signal peptide followed by a C2-like domain. Since it has been proposed that PRF1 is the result of a fusion between an MPEG1-related gene and a C2-like domain [10], this family might stem from the ancestral gene that gave rise to this second domain. However, the similarity between c2PRF1 and the C2 domain of fish PRF1 suggests that their common origin is more recent. Indeed, according to a preliminary phylogenetic analysis, these genes arose in two separate and independent events. The first event seems to have happened early during teleost evolution, although the precise forking sequence cannot be reliably assessed. The second event gave rise to one c2PRF1 in O. latipes, and was independently and reliably predicted by two methods. This suggests that the fixation of c2PRF1 genes may be beneficial for teleosts, in a remarkable example of convergent evolution.

The model contending that c2PRF1 genes stem from full-length PRF1 genes by partial duplication poses intriguing questions. For instance, it is not clear how each signal peptide originated. While these peptides display high sequence variability [22], the constraints to their sequence make them highly unlikely to appear by chance alone. Therefore, if the original c2PRF1 arose after a partial duplication close to a functional promoter and was expressed from a random start methionine, the resulting protein would likely be intracellular for many generations, until random mutation and selection fixated a signal peptide. A different model would have the starting insertion close to an existing signal peptide. This model would predict a much higher number of duplication events, as the likelihood of one event placing a DNA fragment close to a promoter followed by a signal peptide and in the same translational frame would be exceedingly low.

Another major question concerns the biological role of the product of c2PRF1 genes. Since the C2 domain of perforin-1 is involved in binding to the cell membrane of target cells and in oligomerization, a tentative hypothesis would consider these novel proteins as adaptors that anchor other factors to pore-like structures in cell membranes. In this regard, we have found that residues involved in Ca2+ binding, a necessary step for this process, are conserved in most c2PRF1 products. Further experiments with native or recombinant proteins will be needed to confirm and develop this hypothesis.

In a broader sense, the functional consequences of both the invention of c2PRF1 and the genomic amplification of PRF1 paralogs may be related to the complex evolution of MACPF/CDC genes in vertebrates. Thus, the MACPF domain is present in proteins that play disparate roles. Some of these proteins, like astrotactins and BRINPs, do not seem to be involved in pore formation [23]. These diverse roles reflect a highly versatile modular architecture, with acquisitions and losses of ancillary domains. Therefore, the emergence of c2PRF1 may be a new example of this modularity, which would complement the roles of MACPF domain-containing proteins. By contrast, the structural conservation of PRF1 paralogs suggests that they all play a role in pore formation. In this scenario, additional copies of perforin-1 might be expressed or secreted in response to different stimuli, which would add another layer of complexity to the innate immune response in vertebrates like reptiles, fishes and amphibians. Recent reports have suggested that the innate immune response is regulated beyond the well-known generic and non-specific responses, which has led to the concept of trained immunity [24]. It will be interesting to study the regulation of PRF1 expression in species with multiple paralogs and its putative relationship with the fine tuning of innate immunity.

In summary, the present study shows frequent and independent birth-and-death events in the evolution of PRF1. These events seem to have happened in bursts of duplications followed by deletions and pseudogenizations. In addition, teleosts seem to have acquired a novel family of related proteins through partial duplication of the last exon of PRF1. Taken together, these results point to an important role of perforin-1 throughout the evolution of Gnastomata, probably related to its function in the immune system. Future studies on the evolution of this gene may yield important data on how its activity is modulated in the context of changing environments, and how those changes affect the biology of cancer and aging.

Conclusions

We have annotated 405 PRF1 homologs in 87 species of mammals, reptiles, amphibians and fishes. We have found evidence for vertical inheritance of an ancestral perforin-1 locus with flanking syntaxin genes. This locus was lost in a common ancestor of most mammals, but can be found in marsupials and platypus. Numerous species and phylogenetic groups have undergone gains and losses of PRF1 genes independently. These include turtles, Anura, multiple teleosts and cartilaginous fishes. Finally, we have found evidence for a novel related family of C2-containing proteins arising from teleost PRF1 genes.

Methods

Gene annotation

To annotate perforin homologs, we used the iterative knowledge-based BATI algorithm [12]. Briefly, a set of protein sequences (human PRF1 or a more suitable ortholog) is aligned to the target reference genome with tblastn using tbex. Then, each set of tblastn hits corresponding to a target homolog is selected with blastsniffer. The exon/intron junctions are then established with genetuner. The results are fed into bgmix to check for novel paralogs of the annotated genes and the whole procedure is iterated until no more paralogs are detected. Every step is supervised by a researcher who also integrates other sources of information, such as publicly available RNA-Seq experiments. Only coding sequences were annotated. Loci were plotted with a custom script that integrates gff files resulting from BATI with other gff files with automatic annotations from the NCBI.

Sequence characterization

To predict whether fish c2PRF1 proteins contain secretion peptides, we used SignalP [25]. To locate putative transposon-like sequences in fish perforin-1 loci, we used the BLAST tool at FishTEDB [26]. Predictions on domain architecture and functional motives relied on the CD-BLAST tool at NCBI.

Phylogenetic analyses

To infer the order of duplications and losses of perforin genes, we generated phylogenetic trees of specific taxonomic groups. First, we aligned the corresponding protein sequences, including one sequence belonging to a different group to use as an outgroup, with Clustal Omega v1.2.4 [27]. Then, we inspected the alignment with Mesquite v3.61 (http://www.mesquiteproject.org). We deleted sequences with large gaps and regions where the characters were too divergent at the start and end of the alignments. Given the uncertainties of annotating sequences in some of the assemblies, we converted some internal gaps into missing characters.

We then generated phylogenetic trees using MrBayes v3.2.6 [28]. We set the substitution model to Wag, invariant sites and a gamma distribution. We set two runs of at least 300,000 generations with trees sampled every 100 generations. The particular parameters for each run can be found in the Supplemental Data (see availability of data and material). The runs were evaluated with Tracer v1.7.1 [29] and the resulting trees were plotted with Figtree v1.4.4 (http://tree.bio.ed.ac.uk/software/figtree/).

To help in the interpretation of branches with low posterior probability, we also generated phylogenetic trees from the same alignments by maximum parsimony using TNT Willi Henning Society Edition v1.5 [30]. Alignments were exported from Mesquite in tnt format and fed into TNT with gaps treated as a character. First, we set the outgroup taxon. Then, we stored the tree tags and ran a resampling analysis. The type was traditional search with Bootstrap, standard (sample with replacement). The number of replicates was set to 100 and the output result was set to absolute frequencies. A cutoff bootstrap score of 50 was used to collapse groups. The resulting trees were exported as emf files.

For particularly complex birth-and-death scenarios, we used Notung v2.9.1.3 [31]. Species trees were obtained from Taxonomy Common Tree at the NCBI [32]. Since Notung does not accept any polytomy in the species tree, we manually added a node separating Hippocampus comes from a common ancestor to C. semilaevis and O. latipes.

Availability of data and materials

Scripts, gene annotations and gene alignments are publicly available in Github (https://github.com/vqf/PRF1).

Abbreviations

MACPF:

Membrane attack complex / perforin family

CDC:

Cholesterol-dependent cytolysin

LTR:

Long terminal repeats

TIR:

Inverted tandem repeats

LINE:

Long interspersed nuclear element.

References

  1. Podack ER, Munson GP. Killing of microbes and cancer by the immune system with three mammalian pore-forming killer proteins. Front Immunol. 2016; 7:464.

    Article  Google Scholar 

  2. Hanahan D, Weinberg RA. Hallmarks of cancer: the next generation. Cell. 2011; 144:646–74.

    Article  CAS  Google Scholar 

  3. Lopez-Otin C, Blasco MA, Partridge L, Serrano M, Kroemer G. The hallmarks of aging. Cell. 2013; 153:1194–217.

    Article  CAS  Google Scholar 

  4. Prager I, Watzl C. Mechanisms of natural killer cell-mediated cellular cytotoxicity. J Leukoc Biol. 2019; 105:1319–9.

    Article  CAS  Google Scholar 

  5. Dadi S, Chhangawala S, Whitlock BM, Franklin RA, Luo CT, Oh SA, Toure A, Pritykin Y, Huse M, Leslie CS, Li MO. Cancer immunosurveillance by tissue-resident innate lymphoid cells and innate-like T cells. Cell. 2016; 164:365–77.

    Article  CAS  Google Scholar 

  6. Ovadya Y, Landsberger T, Leins H, Vadai E, Gal H, Biran A, Yosef R, Sagiv A, Agrawal A, Shapira A, Windheim J, Tsoory M, Schirmbeck R, Amit I, Geiger H, Krizhanovsky V. Impaired immune surveillance accelerates accumulation of senescent cells and aging. Nat Commun. 2018; 9(5435):1–5.

    Google Scholar 

  7. Ni T, Gilbert RJC. Repurposing a pore: Highly conserved perforin-like proteins with alternative mechanisms. Philos Trans R Soc B Biol Sci. 2017; 372(1726):20160212.

    Article  Google Scholar 

  8. Moreno-Hagelsieb G, Vitug B, Medrano-Soto A, Saier Jr MH. The membrane attack complex/perforin superfamily. J Mol Microbiol Biotechnol. 2017; 27:252–67.

    Article  CAS  Google Scholar 

  9. Leung C, Hodel AW, Brennan AJ, Lukoyanova N, Tran S, House CM, Kondos SC, Whisstock JC, Dunstone MA, Trapani JA, Voskoboinik I, Saibil HR, Hoogenboom BW. Real-time visualization of perforin nanopore assembly. Nat Nanotechnol. 2017; 12:467–473.

    Article  CAS  Google Scholar 

  10. D’Angelo ME, Dunstone MA, Whisstock JC, Trapani JA, Bird PI. Perforin evolved from a gene duplication of MPEG1, followed by a complex pattern of gene gain and loss within Euteleostomi. BMC Evol Biol. 2012; 12:59.

    Article  Google Scholar 

  11. McCormack R, Podack ER. Perforin-2/Mpeg1 and other pore-forming proteins throughout evolution. J Leukoc Biol. 2015; 98:761–8.

    Article  CAS  Google Scholar 

  12. Quesada V, Freitas-Rodriguez S, Miller J, Perez-Silva JG, Jiang ZF, Tapia W, Santiago-Fernandez O, Campos-Iglesias D, Kuderna LFK, Quinzin M, Alvarez MG, Carrero D, Beheregaray LB, Gibbs JP, Chiari Y, Glaberman S, Ciofi C, Araujo-Voces M, Mayoral P, Arango JR, Tamargo-Gomez I, Roiz-Valle D, Pascual-Torner M, Evans BR, Edwards DL, Garrick RC, Russello MA, Poulakakis N, Gaughran SJ, Rueda DO, Bretones G, Marques-Bonet T, White KP, Caccone A, Lopez-Otin C. Giant tortoise genomes provide insights into longevity and age-related disease. Nat Ecol Evol. 2019; 3:87–95.

    Article  Google Scholar 

  13. Eory L, Gilbert MT, Li C, Li B, Archibald A, Aken BL, Zhang G, Jarvis E, Flicek P, Burt DW. Avianbase: a community resource for bird genomics. Genome Biol. 2015; 16(21):1–4.

    Google Scholar 

  14. Singh PP, Isambert H. Ohnologs v2: a comprehensive resource for the genes retained from whole genome duplication in vertebrates. Nucleic Acids Res. 2020; 48:724–30.

    Google Scholar 

  15. Gomes MC, Mostowy S. The case for modeling human infection in zebrafish. Trends Microbiol. 2020; 28:10–8.

    Article  CAS  Google Scholar 

  16. Cerbin S, Jiang N. Duplication of host genes by transposable elements. Curr Opin Genet Dev. 2018; 49:63–9.

    Article  CAS  Google Scholar 

  17. D’Angelo ME, Arjomand A, Trapani JA, Bird PI. Cloning and characterising an unusual perforin from chicken (Gallus gallus),. Dev Comp Immunol. 2013; 41:105–9.

    Article  Google Scholar 

  18. Nei M, Rooney AP. Concerted and birth-and-death evolution of multigene families. Annu Rev Genet. 2005; 39:121–52.

    Article  CAS  Google Scholar 

  19. Palazzo A, Caizzi R, Viggiano L, Marsano RM. Does the promoter constitute a barrier in the horizontal transposon transfer process? insight from bari transposons. Genome Biol Evol. 2017; 9:1637–45.

    Article  CAS  Google Scholar 

  20. Stapley J, Santure AW, Dennis SR. Transposable elements as agents of rapid adaptation may explain the genetic paradox of invasive species. Mol Ecol. 2015; 24:2241–52.

    Article  CAS  Google Scholar 

  21. Varela M, Forn-Cuni G, Dios S, Figueras A, Novoa B. Proinflammatory caspase a activation and an antiviral state are induced by a zebrafish perforin after possible cellular and functional diversification from a myeloid ancestor. J Innate Immun. 2016; 8:43–56.

    Article  CAS  Google Scholar 

  22. von Heijne G. Signal sequences: the limits of variation. J Mol Biol. 1985; 184:99–105.

    Article  CAS  Google Scholar 

  23. Berkowicz SR, Giousoh A, Bird PI. Neurodevelopmental MACPFs: The vertebrate astrotactins and BRINPs. Semin Cell Dev Biol. 2017; 72:171–81.

    Article  CAS  Google Scholar 

  24. Hamada A, Torre C, Drancourt M, Ghigo E. Trained immunity carried by non-immune cells. Front Microbiol. 2018; 9:3225.

    Article  Google Scholar 

  25. Almagro Armenteros JJ, Tsirigos KD, Sonderby CK, Petersen TN, Winther O, Brunak S, von Heijne G, Nielsen H. SignalP 5.0 improves signal peptide predictions using deep neural networks. Nat Biotechnol. 2019; 37:420–3.

    Article  CAS  Google Scholar 

  26. Shao F, Wang J, Xu H, Peng Z. FishTEDB: a collective database of transposable elements identified in the complete genomes of fish. Database (Oxford). 2018; 2018(bax106):1–9.

    Google Scholar 

  27. Sievers F, Wilm A, Dineen D, Gibson TJ, Karplus K, Li W, Lopez R, McWilliam H, Remmert M, Soding J, Thompson JD, Higgins DG. Fast, scalable generation of high-quality protein multiple sequence alignments using Clustal Omega. Mol Syst Biol. 2011; 7:539.

    Article  Google Scholar 

  28. Ronquist F, Teslenko M, Van Der Mark P, Ayres DL, Darling A, Hohna S, Larget B, Liu L, Suchard MA, Huelsenbeck JP. MrBayes 3.2: efficient Bayesian phylogenetic inference and model choice across a large model space. Syst Biol. 2012; 61:539–42.

    Article  Google Scholar 

  29. Rambaut A, Drummond AJ, Xie D, Baele G, Suchard MA. Posterior summarization in Bayesian phylogenetics using tracer 1.7. Syst Biol. 2018; 67:901–4.

    Article  CAS  Google Scholar 

  30. Goloboff PA, Catalano SA. TNt version 1.5, including a full implementation of phylogenetic morphometrics. Cladistics. 2016; 32(3):221–38.

    Article  Google Scholar 

  31. Darby CA, Stolzer M, Ropp PJ, Barker D, Durand D. Xenolog classification. Bioinformatics. 2017; 33:640–9.

    CAS  PubMed  Google Scholar 

  32. Sayers EW, Barrett T, Benson DA, Bryant SH, Canese K, Chetvernin V, Church DM, DiCuccio M, Edgar R, Federhen S, Feolo M, Geer LY, Helmberg W, Kapustin Y, Landsman D, Lipman DJ, Madden TL, Maglott DR, Miller V, Mizrachi I, Ostell J, Pruitt KD, Schuler GD, Sequeira E, Sherry ST, Shumway M, Sirotkin K, Souvorov A, Starchenko G, Tatusova TA, Wagner L, Yaschenko E, Ye J. Database resources of the national center for biotechnology information. Nucleic Acids Res. 2009; 37:5–15.

    Article  Google Scholar 

Download references

Acknowledgements

We would like to thank Dr. Alejandro LĂłpez-Soto and Dr. Carlos LĂłpez-OtĂ­n for helpful comments during the preparation of this manuscript.

Funding

MA-V has been supported by the Ministerio de Ciencia e InnovaciĂłn-Spain (BES-2015-073266, including FEDER funding). VQ has been supported by the Ministerio de Ciencia e InnovaciĂłn-Spain (RTI2018-096859-B-I00, including FEDER funding, and RamĂłn y Cajal program, RYC-2012-10017) and the Ciberonc program of the Instituto de Salud Carlos III, including FEDER funding.

Author information

Authors and Affiliations

Authors

Contributions

MA-V annotated and aligned the sequences and contributed to the phylogenetic analyses and in writing the manuscript. VQ conceived the study, contributed to the phylogenetic analyses and wrote the manuscript, which both authors approve.

Corresponding author

Correspondence to VĂ­ctor Quesada.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

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

Supplementary information

Additional file 1

Genome assemblies and automatic annotations used in this work

Additional file 2

Perforin-1 loci in mammalian species. PRF1 genes are depicted to scale with intron/exon boundaries (blue boxes). Pseudogenes are depicted in pink. Flanking genes may be cropped for ease of depiction.

Additional file 3

Perforin-1 loci in non-avian reptiles. PRF1 genes are depicted to scale with intron/exon boundaries (blue boxes). Pseudogenes are depicted in pink. Flanking genes may be cropped for ease of depiction.

Additional file 4

Perforin-1 loci in birds. PRF1 genes are depicted to scale with intron/exon boundaries (blue boxes). Pseudogenes are depicted in pink. Flanking genes may be cropped for ease of depiction.

Additional file 5

Perforin-1 loci in amphibians. PRF1 genes are depicted to scale with intron/exon boundaries (blue boxes). Pseudogenes are depicted in pink. Flanking genes may be cropped for ease of depiction.

Additional file 6

Perforin-1 loci in teleosts. PRF1 genes are depicted to scale with intron/exon boundaries (blue boxes). Pseudogenes are depicted in pink. Genes with names containing hcX belong to the c2PRF1 family. Flanking genes may be cropped for ease of depiction.

Additional file 7

Perforin-1 loci in cartilaginous fishes. PRF1 genes are depicted to scale with intron/exon boundaries (blue boxes). Pseudogenes are depicted in pink. Flanking genes may be cropped for ease of depiction.

Additional file 8

Phylogenetic relationships between mammalian PRF1 genes. Bayesian inference (left) and maximum-parsimony (right) phylogenetic trees from mammalian perforin-1 sequences. Names in red belong to genes in loci different from ADAMTS14-PALD1. Oan, Ornithorhynchus anatinus; Pci, Phascolarctos cinereus; Mmu, Mus musculus; Hgl, Heterocephalus glaber; Dno, Dasypus novemcinctus; Laf, Loxodonta africana; Pca, Procavia capensis; Eeu, Erinaceus europaeus; Hsa, Homo sapiens; Cch, Condylura cristata; Nsc, Neomonachus schauinslandi; Eca, Equus caballus; Ssc, Sus scrofa; Bta, Bos taurus; Pca, Physeter catodon; Bbo, Balaenoptera bonaerensis; Dle, Delphinapterus leucas; Oor, Orcinus orca; Cpl, Chiloscyllium plagiosum.

Additional file 9

Sequence read archive entries used to study bird PRF1 expression

Additional file 10

Transposon-like sequences in PRF1 loci of Danio rerio and Oryzias latipes. PRF1 genes are depicted to scale with intron/exon boundaries (blue boxes). Pseudogenes are depicted in pink. Transposon-like sequences are shown as black boxes.

Additional file 11

SignalP prediction of secretion peptides in c2PRF1 products

Additional file 12

RNA-Seq reads aligned to Rhincodon typusPRF1. Top, Alignment of RNA-Seq reads from whale-shark blood cells to a genomic region belonging to PRF1 and showing premature stop codons. The genomic sequence is shown on a green background. RNA-Seq reads are depicted on a blue (high-quality base) or red (low-quality base) background. Dots and commas represent bases equal to those of the corresponding genomic location. Dashes represent deletions of the reads as compared to the genomic sequence. Bottom, translation of the genomic sequence (green background) and two of the RNA-Seq reads from the top panel.

Additional file 13

STX4-ZNF646 locus in turtles. PRF1 genes are depicted to scale with intron/exon boundaries (blue boxes). Pseudogenes are depicted in pink. Flanking genes may be cropped for ease of depiction.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Araujo-Voces, M., Quesada, V. Frequent birth-and-death events throughout perforin-1 evolution. BMC Evol Biol 20, 135 (2020). https://0-doi-org.brum.beds.ac.uk/10.1186/s12862-020-01698-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://0-doi-org.brum.beds.ac.uk/10.1186/s12862-020-01698-1

Keywords