- Research article
- Open Access
Evolution of the multifaceted eukaryotic akiringene family
© Macqueen and Johnston; licensee BioMed Central Ltd. 2009
- Received: 12 September 2008
- Accepted: 06 February 2009
- Published: 06 February 2009
Akirins are nuclear proteins that form part of an innate immune response pathway conserved in Drosophila and mice. This studies aim was to characterise the evolution of akirin gene structure and protein function in the eukaryotes.
akirin genes are present throughout the metazoa and arose before the separation of animal, plant and fungi lineages. Using comprehensive phylogenetic analysis, coupled with comparisons of conserved synteny and genomic organisation, we show that the intron-exon structure of metazoan akirin genes was established prior to the bilateria and that a single proto-orthologue duplicated in the vertebrates, before the gnathostome-agnathan separation, producing akirin1 and akirin2. Phylogenetic analyses of seven vertebrate gene families with members in chromosomal proximity to both akirin1 and akirin2 were compatible with a common duplication event affecting the genomic neighbourhood of the akirin proto-orthologue. A further duplication of akirins occurred in the teleost lineage and was followed by lineage-specific patterns of paralogue loss. Remarkably, akirins have been independently characterised by five research groups under different aliases and a comparison of the available literature revealed diverse functions, generally in regulating gene expression. For example, akirin was characterised in arthropods as subolesin, an important growth factor and in Drosophila as bhringi, which has an essential myogenic role. In vertebrates, akirin1 was named mighty in mice and was shown to regulate myogenesis, whereas akirin2 was characterised as FBI1 in rats and promoted carcinogenesis, acting as a transcriptional repressor when bound to a 14-3-3 protein. Both vertebrate Akirins have evolved under comparably strict constraints of purifying selection, although a likelihood ratio test predicted that functional divergence has occurred between paralogues. Bayesian and maximum likelihood tests identified amino-acid positions where the rate of evolution had shifted significantly between paralogues. Interestingly, the highest scoring position was within a conserved, validated binding-site for 14-3-3 proteins.
This work offers an evolutionary framework to facilitate future studies of eukaryotic akirins and provides insight into their multifaceted and conserved biochemical functions.
- Duplication Event
- Neighbour Join
- Vertebrate Lineage
- Vertebrate Classis
- Suppression Subtraction Hybridization cDNA Library
Akirin is a recently discovered protein with an essential function in the Drosophila melanogaster immune deficiency (Imd) pathway, which responds to gram-negative bacterial infection . Akirin was strictly localised to the nucleus and acted in concert with Relish (a fly homologue of the vertebrate NF-kB transcription factor) to induce the expression of a subset of downstream pathway components . The knockdown of the fly akirin gene caused a lethal embryonic phenotype . akirin is conserved in vertebrates as at least two genes that were named akirin1 and akirin2 . In mice, akirin2 functions in the toll-like receptor (TLR), tumour necrosis factor (TNF) and interleukin (IL)-1β signalling pathways, again at the level of/downstream of NF-kB to induce the transcription of several immune-response genes including the anti-inflammatory cytokine interleukin-6 (IL-6) . The knockout of the individual mammalian akirin copies produced distinct phenotypes; whereas akirin1-/- mice had no obvious phenotype, ablation of the akirin2 gene was embryonic-lethal . Thus, seemingly, the role of invertebrate akirin in embryonic development and the innate immune response is most strongly conserved in akirin2 and akirin1 may have diverged in function . While it is clear that vertebrate akirin 1 and 2 are closely related, it is unknown whether they form part of a larger gene family related by gene duplication. Further, the exact origin and evolutionary relationships of akirin1 and akirin2 are not established.
In this paper we provide a detailed examination of the evolution of the akirin gene family in eukaryotes. Using an exhaustive computational screen including non-model species, we show that a single akirin proto-orthologue is highly conserved across invertebrate metazoans in terms of genomic organisation and coding features and identify orthologues in several more basal eukaryotes. Robust phylogenetic analysis revealed that akirin duplicated in a common chordate ancestor before the separation of jawed and jawless vertebrate lineages. We show that akirin genes have been characterised independently on several occasions, and suggest that a single, simple nomenclature system is employed in future studies. By bringing together the available akirin literature and examining the divergent molecular evolution of Akirin1 and 2 coding sequences, we provide significant insight into the multiple functions of this small gene family. A common feature of Akirins is to regulate gene transcription in several characterised signalling pathways, seemingly through interactions with intermediary factors such as 14-3-3 proteins.
Future studies of akirin genes would benefit from a common nomenclature system to aid the dissemination of results between different research groups. Of the current names utilised, we suggest that the naming system employed by Goto et al.  is used in future submissions, since it is derived from the most detailed functional analysis and suitably describes the evolutionary relationships of different orthologues and paralogues. The designation 'FBI1'  (i.e. for akirin2) is also founded on important functional data, but is very similar to a gene named factor binding IST protein 1 (FBI-1: NP_056982) and as with the name 'Mighty'  (i.e. akirin1), does not account for evolutionary relationships within the gene family.
The origin of akirinpredates the metazoan lineage
Genomic organisation of eukaryotic akirins
A comparison of the genomic organisation of metazoan akirins provides insight into their evolutionary heritage (fig. 2). In all vertebrate species examined (mouse and zebrafish shown), akirin1 and akirin2 are organized as 5 exons of comparable size and 4 more variable introns (fig. 2a). In cephalochordates (Branchiostoma floridae), akirin also comprises 5 exons, although exon 5 is made up solely of untranslated nucleotides (fig. 2a, shaded in vertical lines). In fact, exon 4 of the B. floridae gene is equivalent to exon 5 of vertebrates (fig. 2a, evidenced by conserved position of stop codon) and the addition of exon 5 was probably a lineage specific acquisition. In Placozoans (Trichoplax adhaerens), akirin comprises 3 exons (fig. 2a). In Cnidarians (Nematostella vectensis), which represent a basal metazoan lineage that branched later than Placozoans [7, 8], akirin comprises 4 exons. The boundary of exons 1/2 of Placozoan akirin is conserved with the boundary of exons 1/2 in all other metazoans examined (fig. 2b). Further, the boundary of exons 2/3 of Placozoan akirin is conserved with the boundaries of exons 2/3 in sea anemone/amphioxus and exons 3/4 in vertebrates (fig. 2b). Additionally, the boundary of exons 2/3 and 3/4 of the amphioxus/sea anemone genes are respectively conserved with the boundary of exons 3/4 and 4/5 in vertebrate akirin1/2 (fig. 2b). The most parsimonious evolutionary scenario to account for these distributions of conserved exon-exon boundaries is that firstly, an exon-gain event occurred in the akirin gene after the split of Placozoans with a common ancestor to Cnidarians and Bilatarians (fig. 2b). In support of this, exon 4 of the anemone/amphioxus proto-orthologue and vertebrate akirin1/2 genes starts with the last three residues of the protein (consensus sequence: Tyr-Val/Leu-Ser), which are conserved in all animals examined except Placozoans. Subsequent to the proposed exon gain event, an intron was seemingly inserted into exon 2 of akirin in a common deuterostome ancestor, after the split of cephalochordates and higher chordates, but before the event separating akirin1 and akirin2 (fig. 2a, b). We conclude that strong stabilising pressures have been enforced throughout metazoan evolution to maintain the comparable genomic organisation of present-day akirin genes across diverse taxa, in support of ancient patterns of gene regulation.
We performed an exhaustive search for akirins in animal genomes and transcriptomes employing a broad taxonomic sampling strategy. These results are summarised in fig. 1 and additional file 1. In virtually all diploid vertebrates examined, a single akirin1 and akirin2 gene was identified. Almost without exception, both genes were strongly represented among EST databases of model and non-model vertebrate species. In common with the gnathostomes (jawed vertebrates), Petromyzon marinus (marine lamprey) had two sequences with marked identity to akirin (fig. 1, additional file 1). However, one was an EST that could not be identified in the Ensembl 5.9X genome pre-assembly and was partial at the C-terminal. Further, a single akirin orthologue was retrieved in the Myxinid (hagfish) lineage (additional file 1). In the model Avian Gallus gallus (red jungle fowl), no akirin1 orthologue was present in the current Ensembl genome assembly. Further, it was not represented among ~600,000 Genbank G. gallus ESTs, despite the presence of multiple positive akirin2 hits. Likewise, in other model birds including zebra finch (Taeniopygia guttata) and turkey (Meleagris gallopavo), no akirin1 orthologues were retrieved in EST databases containing ~92,000/17,500 respective sequences. Thus the absence of akirin1 in the class Aves reflects the genuine loss of a gene family member, rather than repeated artefacts of insufficient sequencing resolution. This is consistent with a recent finding showing that the number of gene family members common to tetrapods/teleosts is markedly reduced in the class Aves . Interestingly, gene families, which, like akirins, had known roles in the immune system, were the most strongly affected .
In many invertebrate metazoans, a single gene was retrieved that shared significant identity to fly akirin and vertebrate akirin1 and akirin2 across its entire length (fig. 1, additional file 1), but had no clear identity to other characterised or uncharacterised genes. This included several bilaterian lineages with a strong representation of deuterostome and protostome taxa, plus more ancient phyla including Cnidarians and Placozoans, among the most ancient known animals [7, 8]. However, an orthologue was not retrieved in sponges. A notable invertebrate lineage lacking an akirin gene was the family Cionidae, which has a completed high-resolution genome sequence and an abundance of EST sequences. This is consistent with the observation that the compact genome of Ciona intestinalis (~150 Mb) has undergone significant gene loss compared to other deuterostomes . However, another Ascidian (Halocynthia roretzi) has retained an akirin orthologue.
The akiringene duplicated in a common chordate ancestor
Conserved synteny between akirin1 and akirin2containing chromosomal tracts
akirinsand the teleost whole genome duplication event
A single akirin1 gene was identified in all teleost species examined, whereas two akirin2 copies were retrieved from Acanthopterygian taxa i.e. pufferfishes, medaka, sticklebacks and sea bream. All methods of phylogenetic analysis separated teleost akirin2 sequences into two clades (fig. 3, fig. 4). The first was represented by one of the two sequences in species of the Acanthopterygii and the single Ostariophysi copy (i.e. zebrafish, Danio rerio and fathead minnow, Pimephales promelas) (fig. 3, fig. 4) The second clade was represented by the remaining Akirin2 sequences of Acanthopterygian species (fig. 3, fig. 4). Thus, each tree branches prior to the split of Acanthopterygian and Ostariophysian samples, which indicates that this duplication event occurred in a common teleost ancestor rather than in the Acanthopterygian lineage. However, statistical confidence in this branching was weak by all methods (fig. 3, fig. 4, 50/59/<50/68/<50% respective bootstrap support in the ML/NJ/'unsaturated' NJ/ME/MP analyses) excepting the Bayesian analysis (fig. 3, 100% posterior probability values). Bayesian phylogenetic reconstruction was shown under certain conditions to produce an overestimate of branch confidence . Thus, we also sought evidence to either provide support or refute this branching topology, using comparisons of conserved genomic synteny. The synteny map indicates that an expansive genomic region containing akirin2 duplicated in a common ancestor to zebrafish and stickleback (Gasterosteus aculeatus), since two orthologous chromosomal tracts exist in both species that retain common synteny to a single region in tetrapod genomes (fig. 6). Specifically, tetrapod genes are present in teleosts as either single orthologues interspersed between the two tracts (e.g. rars2, rragd, pnrc1, rngtt, orc3l, gjb7) or are present as duplicated co-orthologues on both regions (e.g. akirin2, gabrr1, gabbr2, znf292, syncrip) (fig. 6). A similar pattern of double conserved synteny is seen in teleosts relative to tetrapods on the akirin1 synteny map, although akirin1 is only retained on a single chromosome (fig. 5). These patterns of synteny may be the result of a genome tetraploidization event that occurred in a basal teleost ancestor after the split of the Actinopterygii and Sarcopterygii lineages [13, 14]. However, this interpretation requires that one of the akirin1 paralogues from this event was non-functionalised either in a common teleost ancestor, or within individual lineages. Furthermore, one of the akirin2 paralogues must have been non-functionalised in an ancestor to the Ostariophysi lineage, since a single akirin2 gene is found in zebrafish and fathead minnow.
Duplicated genes from teleost species are generally annotated as either gene-1/gene-2 or gene-A/gene-B according to the order of their discovery. However, this nomenclature system is rarely based on phylogenetic premises and generally does not accommodate paralogues from distinct duplication events in different teleost lineages. For certain genes where teleost duplicates have been retained from both the teleost WGD and more recent lineage specific events, appropriate nomenclature systems have been proposed to simplify confusing existing naming systems (e.g. MyoD: ). Due to the fact that akirins are uncharacterised in fishes, we have a rare opportunity to set out a logical nomenclature framework from the onset of their study. We recommend, as indicated in fig. 1 and additional file 1, that teleost akirin2 paralogues derived from the teleost whole-genome duplication event [13, 14] are named as either akirin2(1) or akirin2(2). Paralogues of these genes from more recent duplication events in certain teleost lineages e.g. salmonids  should be named akirin2(1a/1b) or akirin2(2a/2b). Similarly, if new teleost akirin1 paralogues are discovered in the future then an equivalent naming system should be employed.
Phylogenetic analysis of gene families present on both akirin1 and akirin2containing chromosomal tracts
Phylogenetic analysis of the Cannabinoid receptor (Cnr) family was sensitive to the reconstruction method and only the NJ analysis split the tree into two clades of Cnr1 and Cnr2 orthologues (fig. 7e). Other methods strongly supported a single Cnr1 clade, but did not resolve Cnr2 sequences into a single clade, when teleost sequences were included (not shown). However, it is noteworthy that previous phylogenetic studies have suggested that Cnr1 and Cnr2 (also known respectively as CB1 and CB2) duplicated from a single proto-orthologue in the vertebrate stem of the chordate lineage [17, 18].
For the glycoprotein endo-alpha-1,2-mannosidase family, all four methods of reconstruction produced similar topologies in which the tree did not branch into separate Manea and Maneal clades due to the inclusion of teleost Manea sequences as the external branch of a clade containing solely other vertebrate Maneal sequences (not shown). We tested the hypothesis that tree topology was being influenced by mutational saturation at a proportion of sites in the alignment. When saturated positions were removed from the analysis, a NJ topology was obtained splitting the tree into separate vertebrate Manea and Maneal clades (fig. 7f). Therefore, it is possible that mutational saturation caused an aberrant branching of teleost Manea sequences and that the corrected tree again reflects a duplication event of a Manea/Maneal proto-orthologue in a common vertebrate ancestor.
In most vertebrate classes, two members of the potassium voltage-gated channel family (kcnq4 and kcnq5) were located in the respective genomic neighbourhood of akirin1 and akirin2 (fig. 5, fig. 6). This gene family contains up to five members in diploid vertebrates and 2 members in the C. intestinalis genome. All methods of phylogenetic analysis produced near identical topologies with a clade including vertebrate and C. intestinalis Kcnq1 orthologues that branched externally to remaining family members (fig. 7g). Internal to this clade, the other C. intestinalis Kcnq sequence branched externally to the remaining four vertebrate Kcnq sequences, which split into two well-supported clades containing Kcnq2/3 and Kcnq4/5 sequences respectively (fig. 7g). These clades split into sub-clades containing individual Kcnq2 and 3 orthologues and Kcnq4 and 5 orthologues (fig. 7g). This branching pattern can be explained by two duplication events in the vertebrate lineage, where a single proto-orthologue to Kcnq2/3/4/5, duplicated to create two ancestor genes to Kcnq2/3 and Kcnq4/5 which both duplicated again to produce Kcnq2, kcnq3, kcnq4 and kcnq5 genes as conserved in current vertebrate genomes.
The branching patterns of these gene families, are therefore generally consistent, not only with at least one duplication event in a common ancestor to mammals, birds, frogs and fishes, but in the case of the highlighted members, often reflect their respective chromosomal proximity to akirin1 or akirin2. In other words, when orthologues from a gene family (i.e. one clade in the tree) were located in the genomic neighbourhood of either akirin1 or 2, paralogues from that family (in the other clade) tended to be proximal to, or at least on the same chromosome as the other akirin copy. A parsimonious explanation for these findings is that a duplication event occurred in the vertebrate stem of the chordates that affected a chromosomal region containing both proto-orthologues to akirin and to components of neighbouring gene families. Two-rounds of genome polyploidisation in vertebrates has been long been proposed [e.g. ] and support for this hypothesis has been obtained by comparing vertebrate genome organisation, with deuterostome relatives with unduplicated genomes, including urochordates [20, 21] and recently cephalochordates . For example, Putnam et al. showed that Gnathostome genomes share quadruple conserved synteny with the Branchiostoma floridae genome providing 'conclusive evidence for two rounds of duplication on the jawed vertebrate stem' . However, this idea has been historically controversial and certain studies using phylogenetic analysis of vertebrate gene families found a lack of supporting statistical evidence e.g. [22, 23], while others found results compatible with the hypothesis e.g. .
Test for selection and functional divergence after the Akirin duplication
It is widely accepted that gene duplication can create opportunities for functional divergence in paralogues. Divergence is thought to occur where one duplicate retains the original protein function and the other accumulates changes, (either through redundancy or by positive selection) or alternatively, through the partitioning of the functions of an unduplicated ancestor protein [reviewed in ]. Whatever the mechanism, if functional divergence has occurred between duplicated genes, then it should be observable as changes within their coding regions, since functionally important and non-functionally important residues should evolve under different constraints.
It is known that Akirin1 and Akirin2 differ in at least one function . The branch length leading to the Akirin1 clade is extended relative to Akirin2 in all phylogenies, (fig. 3, fig. 4). This suggests that after the akirin duplication, Akirin1 evolved at a faster rate than Akirin2. This result was confirmed by significant relative rate test results for several vertebrate lineages (result not shown). To examine whether this difference in evolutionary rate was accompanied by altered selective constraints, we examined pairwise rates of synonymous (dS) and non-synonymous (dN) substitutions between Akirin1 and 2 for several vertebrate lineages. Two approaches were implemented: firstly, the likelihood method of Goldman and Yang  and secondly, the Nei-Gojobori approach . Both results were comparable and low dN/dS ratios (<<1) were estimated when different vertebrate lineages were compared for Akirin1 and Akirin2 (additional file 4). Specifically, dN/dS ratios averaged from both methods, were ~0.14 for Akirin1 and ~0.09 for Akirin2. Thus, Akirin1 and Akirin2 proteins, as a whole, have evolved under comparably strict purifying selection.
The extreme N-terminus (first 30 residues) and C-terminus (last ~70 residues) of Akirin proteins are clearly under strong purifying selection based on the near absence of fast-evolving sites (additional file 5) and the presence of many sites that have evolved at a significantly slower rate than the average of all positions (fig. 9, additional file 5). Further, in these N and C-terminal regions, very few sites (respectively none and two) are predicted to contribute to functional divergence between Akirin1 and 2 (fig. 8, fig. 9). Of the last 65 sites in Akirins, 20% are conserved from basal metazoans to vertebrates and ~55% code for isofunctional replacements (not shown). Additionally, it is only the ~70 most C-terminal residues that share significant identify with the basal Amoebozoan and protist orthologues (not shown). Therefore these conserved regions must perform essential functions common to Akirins and are obvious candidates for experimental characterisation.
A known functional motif found in Akirins, is a highly conserved N-terminal NLS  (fig. 9). As expected, sites within this motif have evolved significantly slower than the average in all Akirins (fig. 9, additional file 5), in support of its necessity for nuclear localisation as demonstrated in insect and mammalian Akirins . Further, another NLS was predicted in PSORT2  to be present in Akirin of invertebrate deuterostomes (plus several other invertebrates, dating back to Placozoans, not shown) and Akirin2, but not Akirin1 (fig. 9). However, rate shifts at these sites were not predicted to contribute to functional divergence between paralogues. Interestingly, Akirin1 was detected in both the nucleus and cytoplasm of C2C12 myoblasts . Further experimental tests will be needed to examine whether this second NLS augments the nuclear import of Akirin and Akirin2 proteins relative to Akirin1, which would have important implications for the sub-cellular context of the vertebrate paralogues.
Almost all of the highest scoring candidate positions for functional divergence between Akirin paralogues are found in the middle region of the protein (positions 30–130 in our alignment), which also has numerous sites that evolved at a significantly higher rate in both Akirin1 and 2 compared to the average of all positions (additional file 5). The highest scoring site for functional divergence in both the Bayesian analysis and ML LRT (site 122) corresponds to a proline conserved in all Akirin2 orthologues, two invertebrate Akirin orthologues but not in Akirin1 proteins (fig. 9). In all tetrapod and most teleost Akirin2 orthologues, as well as hemichordate Akirin, this site is the final residue of a putative 14-3-3-recognition site, biochemically validated in rodent Akirin 2 (consensus: serine/threonine -X-proline in rat Akirin2 ). Further, two other high scoring positions fall either on putative 14-3-3 binding sites (site 52) or are just upstream of a 14-3-3 binding site conserved in both Akirin1 and Akirin2 (sites 111 and 113–114). It is feasible that these sites have contributed to altered 14-3-3 binding properties of Akirin1 and 2. Another region that is a strong candidate for type-I divergence between Akirin1 and Akirin2 is found at sites 58–67. In this region, 5/10 positions have evolved at a significantly slower rate in Akirin2 than Akirin1 (fig. 8) and are among the highest scoring candidate residues for type-I functional divergence (fig. 9). This region may be a binding site that is functional in the invertebrate Akirins and Akirin2, but not in Akirin1.
Putative 14-3-3 binding sites in Akirins
Of the five 14-3-3 protein-binding sites identified in rat Akirin2 , four are conserved across amniote orthologues (not shown), and fewer in teleost orthologues (fig. 9). Akirin1 has between one and four putative 14-3-3 binding sites across a broad phylogenetic range of vertebrates, generally in regions conserved with at least one Akirin2 protein. Deuterostome invertebrate Akirins generally have two to four 14-3-3 binding sites, usually in regions aligning with vertebrate Akirins, but rarely with other invertebrate Akirins (fig. 9). The M. brevicollis, D. discoideum and N. gruberi orthologues have a single putative 14-3-3 binding site whereas G. theta has none (not shown). Therefore, the number of potential 14-3-3 binding sites in Akirin proteins increased rapidly at the base of metazoan evolution. However, sites are absent or greatly reduced in certain metazoan lineages, including D. melanogaster (0 sites), Anopheles gambiae (0 sites), Lumbricus rubellus (0 sites) and Caenorhabditis elegans (1 site) (not shown). The preferred binding motifs of 14-3-3 proteins are Arg-Ser-x-Ser-x-Pro and Arg-x-x-x-Ser-x-Pro, although functional variations in these motifs are tolerated . Almost invariably, sites in Akirin proteins have the consensus-binding site Ser/Thr-x-Pro or Ser-x-Ser/Thr-x-Pro (fig. 9). The single exception is the sea squirt sequence, which has a perfect site (Arg-Ser-Pro-Pro-Ser-Ser-Pro) (fig. 9). Unsurprisingly, multiple sites were needed for the formation of the Akirin2–14-3-3 complex . Considering the variability in the number (sometimes none) and physical locations of 14-3-3 sites, it is likely that the binding affinity for 14-3-3 proteins will vary considerably between Akirin1 and Akirin2 paralogues within vertebrate species and between orthologues from different lineages.
A synthesis of information on akirinfunction
In this section, we combine the findings of this study with available literature on the known roles of akirin genes in order to provide novel insight into their biochemical functions. We hope that this will prompt the sharing of akirin literature between researchers from different fields and open up new avenues of investigation.
Consistent with the embryonic lethal knockdown of akirin and akirin2 in flies and mice respectively , the ablation of akirin in the embryos of the nematode C. elegans by RNAi knockdown was also lethal (http://www.wormbase.org/ search term: E01A2.6). Further, RNAi knockdown of akirin in ticks (i.e. subolesin, previously named 'protective antigen 4D8',) dramatically affected the growth and fertility phenotype, with enormous associated reductions in survival, weight and oviposition, as well as developmental abnormalities in several different tissues . These findings support the idea that akirin is an essential developmental gene across a broad phylogenetic range of metazoans. Another conserved feature of Akirins in metazoans is their nuclear localisation (fly:  and Flybase: http://flybase.bio.indiana.edu/; mammals: [1–3] and broad or near-ubiquitous expression patterns in embryonic and adult tissues (fly: , nematodes: http://www.wormbase.org/, search term: E01A2.6; ticks: ; zebrafish: ; mammals: [1, 2]. These basic comparisons indicate that akirins function in a wide range of processes, through direct or indirect regulation of gene transcription, consistent with current literature [1–3, 31].
In vertebrates, akirin1 is not essential for embryonic development, and has even been lost in the class Aves. Thus, relative to Akirin and Akirin2, Akirin1 has diverged in at least one essential function (i.e. in innate immunity, although other functions of Akirin1 in this system could be masked by functional redundancy ). This is supported by significantly faster rates of evolution in multiple sites of Akirin1 compared to its paralogue (fig. 7, fig. 8). However, there were also several sites that have evolved faster in Akirin2 than Akirin1, and could represent regions where a function has been conserved in Akirin1 but was lost in Akirin2. It is known that akirin1 (aka mighty) has a role in regulating vertebrate myogenesis, as it was identified in mice from a suppression subtraction hybridization cDNA library produced using myostatin-null mice as the 'tester' material . Myostatin (aka GDF-8) is a potent negative regulator of mammalian myogenesis and mice lacking a functional copy have a double-muscled phenotype . akirin1 was reportedly upregulated in the muscles of myostatin-/- mice . Mstn protein was also shown to inhibit the transcription of the akirin1 proximal promoter . Interestingly, akirin1 also functions in myogenesis in flies. Specifically, Akirin (as Bhringi) bound the bHLH factor Twist and this interaction was necessary for the normal expression of Twist target proteins , representing another example of Akirins as co-regulators of transcription. Fly mutants lacking akirin had considerable defects in muscle mass and morphology . This is a strikingly opposite phenotype to that induced by the overexpression of akirin1 in mdx mice, where muscle mass, fibre size and structural integrity was markedly increased . Thus, the role of mammalian akirin1 in regulating muscle growth may be conserved from the akirin proto-orthologue. If the function of akirin1 in amniote muscle growth is essential, then its absence in birds, where muscle physiology is strongly conserved with mammals, particularly in terms of the functions of key genes (e.g. myostatin), could only be fulfilled by akirin2.
akirin2 (as FBI1) was also shown to promote carcinogenesis by interacting with the phosphoserine-threonine-binding protein 14-3-3β . 14-3-3 proteins are highly conserved in eukaryotes and regulate many cellular activities including the cell cycle, intracellular signalling, apoptosis and malignant transformation (reviewed by [35, 40]). The 14-3-3β isoform had previously been shown to regulate tumour formation and was upregulated in several cancer cell lines  acting through the mitogen-activated protein kinase (MAPK) pathway . akirin2 was also upregulated in tumour cell lines and its mRNA downregulation reduced tumour metastasis by inducing the expression of MAP kinase phosphotase 1 (MKP1), which reduced the activation of the extracellular-signal regulated kinases (ERKs), ERK1 and ERK2 . Specifically, the akirin2-14-3-3β complex functioned as a transcriptional repressor of the MKP-1 promoter . Based solely on the presence of a comparable repertoire of 14-3-3 protein-binding sites, redundancy of this carcinogenic-promoting function with akirin1 cannot be excluded. However, distinct evolutionary rates in positions within, or adjacent to 14-3-3 binding sites in Akirin1 and Akirin2 are probably important explanatory variables underlying their functional divergence (fig. 9). Interestingly, there also exists evidence to suggest that akirin1, like akirin2, indeedfunctions as part of the ERK signalling pathway. It is established that the inhibitory effect of Myostatin on myogenesis is mediated through activation of components of the MAPK/ERK signalling pathway [3, 43, 44]. akirin1 transcription was inhibited by treatment with Myostatin protein and conversely was upregulated by chemical inhibition of MEK1/ERK signalling . Thus, it was suggested that Myostatin signals to akirin1 through ERK signalling .
In vertebrate immune response signalling pathways, akirin2 functions at a level close to, or downstream of NF-κB to selectively regulate some of its target genes . Since a direct interaction of fly Akirin and NF-κB was not demonstrated, it was suggested that Akirins interact with intermediary components . 14-3-3 proteins are potential candidates, since they are known to regulate the nuclear localisation of transcription factors, are found in many transcriptional complexes, can bind to histones and can regulate histone acetylation [35, 40]. Importantly, a 14-3-3-Akirin2 complex bound to and regulated promoter activity . 14-3-3 proteins regulate NF-κB activity by binding both IκB and the p65 subunit of NF-kB . IκB is known to inhibit NF-kB by sequestering p65 in the cytoplasm  and further, the IκBα isoform also facilitates its nuclear export . TNFα treatment induced the nuclear localisation of 14-3-3 proteins and the disruption of 14-3-3-protein function caused the nuclear localisation of both IκB and p65 . Furthermore, following TNFα treatment, both IκB and 14-3-3β/γ proteins bound to the promoter regions of IL-6 and RANTES, presumably disrupting the interaction of p65 and chromatin . It was suggested that 14-3-3 proteins formed a complex with IκB and p65 that was efficiently exported from the nucleus . Interestingly, these same NF-KB transcriptional targets (IL-6, RANTES) were strongly repressed in akirin2 knockout mice following TLR, IL-1β and TNFα treatment . Therefore, an interesting line of investigation will be to examine whether the transcriptional repression of NF-kB targets in akirin2 knockout mice is accounted for by altered 14-3-3-protein activity. In addition to a predicted interaction with 14-3-3 proteins to regulate chromatin, fly Akirin (as Bhringi) was shown to bind Bap60 , a DNA binding protein that forms part of the SWI/SNF-like chromatin remodelling complex  which is highly conserved in eukaryotes. Akirin also interacts with the GATA-transcriptional activator Pannier  and with TDP45 , (TAR DNA binding protein 43), a highly conserved RNA binding protein with roles in transcriptional repression  and in regulating exon skipping . It is also noteworthy, that fly Akirin physically interacts with CG1473 , a protein with high homology to a E2 Ubiquitin-conjugating enzyme. The ubiquitin-conjugating enzyme UBC13 forms part of the ubiquitin-conjugating complex important in the activation of IKK (and thus activation of NF-κB transcriptional activity) through TRAF6 . CG1473, like Akirin, also binds to the chromatin remodelling protein Bap60 , indicating a wider protein-interaction network.
14-3-3 proteins are also known to regulate insulin-like growth factor signalling, a pathway activated by Akirin1 overexpression . The 14-3-3ε isoform binds to phosphorylated forms of both the IGF-I receptor (IGF-I R) and the insulin receptor substrate-I (IRS-I)  while the 14-3-3β-isoform binds to activated IRS-I reducing its ability to activate PI(3) kinase (PI(3)K) . During myogenesis, a feed-forward cascade occurs, where IGF-II secreted during early myoblast differentiation, binds to and activates the IGF-IR, in turn activating IRS-1, and the PI(3)k-Akt phosphorylation pathway, which then promotes efficient transcriptional activation of muscle differentiation genes through a MyoD-E-protein complex and several known co-factors . In myoblasts overexpressing Akirin1, differentiation was accelerated, with a concurrent increase in MyoD, Myogenin and IGF-II protein expression, activated Akt expression and a massive increase in the transcription of IGF-II mRNA . These results suggest that Akirin1 can stimulate IGF-II-PI(3)K-Akt signalling, culminating in the transcription of muscle differentiation genes. Akirin1 has several low affinity 14-3-3 binding sites (fig. 8) and was detected in the cytoplasm . It is therefore possible that the positive effect of Akirin1 on the IGF-II signalling pathway is mediated through binding 14-3-3 proteins in the cytoplasm, sequestering them and effectively stimulating the activation of the IGF1-R and IRS-1 and downstream components of the pathway.
In summary, the akirin gene family is clearly essential to many physiological functions in metazoans and operates in several characterised signalling pathways. This paper provides a necessary evolutionary scaffold to guide future investigations of eukaryote akirins. Our exhaustive genomic screens, coupled with the implementation of a common akirin nomenclature, should aid researchers in identifying new functions of akirins and encourage the propagation of existing research between disciplines. Molecular evolution analyses indicate that vertebrate Akirin1 and Akirin2 proteins have diverged in function and we provide a list of potential underlying candidate residues. An interesting line of future investigation will be to further examine the role played by Akirin-14-3-3 protein interactions in regulating gene expression and signalling cascades in innate immune, myogenic and carcinogenic pathways.
BLASTp searches of the NCBI http://0-www.ncbi.nlm.nih.gov.brum.beds.ac.uk/ non-redundant protein collection using D. melanogaster Akirin and M. musculus Akirin1/Akirin2 sequences as in silico probes, revealed homologues of these proteins in multiple metazoan taxa. Subsequently, manual screening of Ensembl release 50 genome assemblies was performed http://www.ensembl.org using the orthologue and paralogue prediction function with fly akirin as a reference point. Ensembl genome assemblies screened included Chordates (from the taxa Ascidiacea, Actinopterygii, Amphibia, Aves, Petromyzontiformes and Mammalia), Arthropods (Aedes aegypti, A.gambiae and D.melanogaster), nematodes (C. elegans) and Fungi (Saccharomyces cerevisiae).
To identify akirin1/akirin2 orthologues in a broader range of metazoans, directed tBLASTn searches of NCBI nucleotide and EST databases were performed for the following taxa: Acoelomorpha, Annelida, Arthropoda, Brachiopoda, Bryozoa, Chaeognatha, Chordata (classes: Ascidiacea, Aves, Cephalaspidomorphi, Cephalochordata and Myxini), Cnidaria, Ctenophora, Echinodermata, Entoprocta, Hemichordata, Mollusca, Nematoda, Nematomorpha, Nemertea, Onychophora, Placozoa, Platyhelminthes, Porifera, Rotifera, Tardigrada and Xenoturbellida. Non-metazoan eukaryotes were also screened by the same approach, including the following taxa: Amoebozoa, Choanoflagellata, Chromalveolata, Fungi, and Plantae. Finally, genome databases at the DOE Joint Genome Institute http://www.jgi.doe.gov/, Welcome Trust Sanger Institute http://www.sanger.ac.uk/, Arabidopsis Genome Initiative http://www.arabidopsis.org/ and TIGR Rice Genome Annotation http://www.tigr.org/tdb/e2k1/osa1/index.shtml were BLAST screened for akirin orthologues for the following taxa: Amoebozoa (D. discoideum, Entamoeba histolytica), Archea (Methanococcoides burtonii, Sulfolobus islandicus), Bacteria (Mycobacterium sp., Enterobacter sp. Escherichia coli, Staphylococcus aureus), Choanozoa (Monosiga brevicollis), Chromalveolata (Emiliania huxleyi, Thalassiosira pseudonana, Aureococcus anophagefferens), Excavata (N. gruberi, Trypanosoma brucei, Trichomonas vaginalis, Giardia lamblia), Fungi (Aspergillus niger, Candida albicans), Placozoa (T. adhaerens) and Plantae (Chlamydomonas reinhardtii, Selaginella moellendorffii, Sorghum bicolour, Oryza sativa).
Comparative analyses of genomic and coding regions
Synteny maps for the genomic neighbourhoods surrounding akirin1 and akirin2 were constructed using data manually obtained from release 50–52 Ensembl genome assemblies for H. sapiens, M. musculus, G. gallus, X. tropicalis, D. rerio and G. aculeatus. The genomic neighbourhoods surrounding H. sapiens akirin1/akirin2 were used as a starting reference. The intron-exon organisation of eukaryotic akirin orthologues was established by loading genomic and corresponding cDNA sequences into Spidey . PSORTII  was used to predict NLSs.
Phylogenetic analysis of the Akiringene family
27 full coding amino acid sequences of Akirin were used for phylogenetic analysis. This included Akirin1/Akirin2 sequences spanning broad vertebrate taxa as well as deuterostome outgroups representing the single invertebrate gene related to both vertebrate akirin1/akirin2 in Urochordates (H. roretzi), Cephalochordates (B. floridae), Hemichordates (Saccoglossus kowalevskii) and Echinoderms (Strongylocentrotus purpuratus). Sequence alignment was performed using PROMALS  at http://prodata.swmed.edu/promals/. The first output was improved by removing indels and low scoring regions of the alignment as well as manual checking of alignment quality. ML was performed using PhyML  at http://atgc.lirmm.fr/phyml/. The JTT substitution model was utilised with concurrent estimation of the gamma distribution parameter. 1000 bootstrap replicates were sampled to obtain a measure of branch confidence. The Bayesian approach was implemented in MrBayes3.12  with estimation of the substitution rate model, and gamma distribution of among site rate variation. 2 runs were used, each with a single chain of 20 million generations, sampled every 10,000 generations. Convergence was assessed by comparing the standard deviation of split frequencies between runs. 1000 trees were excluded from a total sample of 2001 trees in each run. The independence of the remaining samples was then assessed by analysing autocorrelation in tree log-likelihood values implemented using the ACF function of Minitab 13.2 (Minitab, Inc.). Sample independence was confirmed as no significant increase in log-likelihoods was observed after the burnin phase. Additionally, NJ, ME and MP analyses were performed in Mega 4.0 , in each case obtaining branch confidence values by bootstrapping with 1000 iterations. For NJ and ME analyses, the JTT model was used with a gamma distribution parameter estimated by PhyML (α = 0.91). Finally, ASATURA was used to remove saturated amino acid positions from the alignment prior to NJ tree reconstruction  using the JTT model.
Phylogenetic analysis of vertebrate gene families proximal to akirin1 and akirin2
Phylogenetic analysis was performed on seven vertebrate gene families, where members were represented on both akirin1 and akirin2 containing chromosomal tracts in at least two vertebrate classes (further details are provided in the results and fig. 7). High quality amino-acid translations were obtained from Ensembl release 52 genome databases for representatives of four vertebrate taxa (mammalia, aves, amphibia and Actinopterygii). Outgroup sequences were obtained either through orthologue screening of Ensembl databases for C. intestinalis, or non chordate invertebrates, or by BLAST screening of NCBI C. intestinalis or B. floridae protein databases. Sequence alignment was performed with Promals  followed by manual checking and submission to Gblocks at http://molevol.cmima.csic.es/castresana/Gblocks_server.html to remove poorly aligned and divergent regions . Bayesian phylogenetic reconstruction was performed as for the Akirins, except with different sampling parameters for each gene family. Briefly, 5 million generations were performed with sampling every 2500 generations for the ras-related GTP-binding, heterogeneous nuclear ribonucleoprotein, cytosolic 5'-nucleotidase 1, proline-rich nuclear receptor coactivator, glycoprotein endo-alpha-1,2-mannosidase families. For the cannabinoid receptor and potassium voltage-gated channel families, 10 million generations were performed with sampling every 5000 generations. In each analysis, runs had converged (i.e. the standard deviation of split frequencies between runs was <0.005) before half of the final number of generations were reached. 1000 trees were excluded from a total sample of 2001 trees in each run before consensus phylogenies were reconstructed. ML, NJ and MP analysis were performed essentially as described for the Akirin dataset.
Tests of selection and rate shifts
Estimates of synonymous and non-synonymous substitution rates for Akirin1 and Akirin2 were performed using codon-alignments obtained by loading aligned amino acid and corresponding nucleotide sequences into PAL2NAL . Akirin1 orthologues from H. sapiens, M. musculus, X. tropicalis and D. rerio were compared. Akirin2 orthologues from H. sapiens, M. musculus, G. gallus, X. tropicalis and D. rerio were compared. PAL2NAL was set to automatically calculate synonymous and non-synonymous substitution rates, for each pairwise comparison using a model  normally implemented in codeml of PAML . Additionally, two codon alignments were produced separately for the Akirin1 and 2 orthologues described above and loaded into Mega 4.0 . Pairwise estimates of the number of synonymous and non-synonymous substitutions between different orthologues were then calculated using the Nei-Gojobori method , with the P-distance model.
To examine potential shifts in evolutionary rates between Akirin paralogues, an amino acid alignment with 14 Akirin2 orthologues, 9 Akirin1 orthologues and 4 Akirin orthologues from invertebrate deuterostomes (additional file 2) was loaded into DIVERGE  with a corresponding phylogenetic tree in Newick format, that had the topology obtained by ML (fig. 3). The Akirin1 and Akirin2 clades were defined as separate clusters and the coefficient of functional divergence and posterior probability for functional divergence at each site in the alignment were estimated using the Gu99 algorithm . Additionally, the same alignment was loaded into the rate shift analysis server at http://www.daimi.au.dk/~compbio/rateshift/ along with the same Newick file. Akirin1, Akirin2 and Akirin (outgroup) clusters were defined and the JTT model was employed.
This work was supported by a Natural Environment Research Council grant (ref: NE/E015212/1).
- Goto A, Matsushita K, Gesellchen V, El Chamy L, Kuttenkeuler D, Takeuchi O, Hoffmann JA, Akira S, Boutros M, Reichhart JM: Akirins are highly conserved nuclear proteins required for NF-kappaB-dependent gene expression in drosophila and mice. Nat Immunol. 2008, 9: 97-104. 10.1038/ni1543.PubMed CentralView ArticlePubMedGoogle Scholar
- Komiya Y, Kurabe N, Katagiri K, Ogawa M, Sugiyama A, Kawasaki Y, Tashiro F: A novel binding factor of 14-3-3beta functions as a transcriptional repressor and promotes anchorage-independent growth, tumorigenicity and metastasis. J Biol Chem. 2008, 283: 18753-18764. 10.1074/jbc.M802530200.View ArticlePubMedGoogle Scholar
- Marshall A, Salerno MS, Thomas M, Davies T, Berry C, Dyer K, Bracegirdle J, Watson T, Dziadek M, Kambadur R, Bower R, Sharma M: Mighty is a novel promyogenic factor in skeletal myogenesis. Exp Cell Res. 2008, 314: 1013-1029. 10.1016/j.yexcr.2008.01.004.View ArticlePubMedGoogle Scholar
- Simpson AG, Inagaki Y, Roger AJ: Comprehensive multigene phylogenies of excavate protists reveal the evolutionary positions of "primitive" eukaryotes. Mol Biol Evol. 2006, 23: 615-625. 10.1093/molbev/msj068.View ArticlePubMedGoogle Scholar
- Hedges SB, Blair JE, Venturi ML, Shoe JL: A molecular timescale of eukaryote evolution and the rise of complex multicellular life. BMC Evol Biol. 2004, 4: 2-10.1186/1471-2148-4-2.PubMed CentralView ArticlePubMedGoogle Scholar
- King N, Westbrook MJ, Young SL, Kuo A, Abedin M, Chapman J, Fairclough S, Hellsten U, Isogai Y, Letunic I, Marr M, Pincus D, Putnam N, Rokas A, Wright KJ, Zuzow R, Dirks W, Good M, Goodstein D, Lemons D, Li W, Lyons JB, Morris A, Nichols S, Richter DJ, Salamov A, Sequencing JG, Bork P, Lim WA, Manning G, Miller WT, McGinnis W, Shapiro H, Tjian R, Grigoriev IV, Rokhsar D: The genome of the choanoflagellate Monosiga brevicollis and the origin of metazoans. Nature. 2008, 451: 783-788. 10.1038/nature06617.PubMed CentralView ArticlePubMedGoogle Scholar
- Dellaporta SL, Xu A, Sagasser S, Jakob W, Moreno MA, Buss LW, Schierwater B: Mitochondrial genome of Trichoplax adhaerens supports placozoa as the basal lower metazoan phylum. Proc Natl Acad Sci USA. 2006, 103: 8751-8756. 10.1073/pnas.0602076103.PubMed CentralView ArticlePubMedGoogle Scholar
- Dunn CW, Hejnol A, Matus DQ, Pang K, Browne WE, Smith SA, Seaver E, Rouse GW, Obst M, Edgecombe GD, Sørensen MV, Haddock SH, Schmidt-Rhaesa A, Okusu A, Kristensen RM, Wheeler WC, Martindale MQ, Giribet G: Broad phylogenomic sampling improves resolution of the animal tree of life. Nature. 2008, 452: 745-749. 10.1038/nature06614.View ArticlePubMedGoogle Scholar
- Hughes AL, Friedman R: Genome size reduction in the chicken has involved massive loss of ancestral protein-coding genes. Mol Biol Evol. 2008, 25: 2681-2688. 10.1093/molbev/msn207.PubMed CentralView ArticlePubMedGoogle Scholar
- Putnam NH, Butts T, Ferrier DE, Furlong RF, Hellsten U, Kawashima T, Robinson-Rechavi M, Shoguchi E, Terry A, Yu JK, Benito-Gutiérrez EL, Dubchak I, Garcia-Fernàndez J, Gibson-Brown JJ, Grigoriev IV, Horton AC, de Jong PJ, Jurka J, Kapitonov VV, Kohara Y, Kuroki Y, Lindquist E, Lucas S, Osoegawa K, Pennacchio LA, Salamov AA, Satou Y, Sauka-Spengler T, Schmutz J, Shin-I T, Toyoda A, Bronner-Fraser M, Fujiyama A, Holland LZ, Holland PW, Satoh N, Rokhsar DS: The amphioxus genome and the evolution of the chordate karyotype. Nature. 2008, 453: 1064-1071. 10.1038/nature06967.View ArticlePubMedGoogle Scholar
- Van de Peer Y, Frickey T, Taylor J, Meyer A: Dealing with saturation at the amino acid level: a case study based on anciently duplicated zebrafish genes. Gene. 2002, 295: 205-211. 10.1016/S0378-1119(02)00689-3.View ArticlePubMedGoogle Scholar
- Suzuki Y, Glazko GV, Nei M: Overcredibility of molecular phylogenies obtained by Bayesian phylogenetics. Proc Natl Acad Sci USA. 2002, 99: 16138-16143. 10.1073/pnas.212646199.PubMed CentralView ArticlePubMedGoogle Scholar
- Jaillon O, Aury JM, Brunet F, Petit JL, Stange-Thomann N, Mauceli E, Bouneau L, Fischer C, Ozouf-Costaz C, Bernot A, Nicaud S, Jaffe D, Fisher S, Lutfalla G, Dossat C, Segurens B, Dasilva C, Salanoubat M, Levy M, Boudet N, Castellano S, Anthouard V, Jubin C, Castelli V, Katinka M, Vacherie B, Biémont C, Skalli Z, Cattolico L, Poulain J, De Berardinis V, Cruaud C, Duprat S, Brottier P, Coutanceau JP, Gouzy J, Parra G, Lardier G, Chapple C, McKernan KJ, McEwan P, Bosak S, Kellis M, Volff JN, Guigó R, Zody MC, Mesirov J, Lindblad-Toh K, Birren B, Nusbaum C, Kahn D, Robinson-Rechavi M, Laudet V, Schachter V, Quétier F, Saurin W, Scarpelli C, Wincker P, Lander ES, Weissenbach J, Roest Crollius H: Genome duplication in the teleost fish Tetraodon nigroviridis reveals the early vertebrate proto-karyotype. Nature. 2004, 431: 946-957. 10.1038/nature03025.View ArticlePubMedGoogle Scholar
- Van de Peer Y: Tetraodon genome confirms Takifugu findings: most fish are ancient polyploids. Genome Biol. 2004, 5: 250-10.1186/gb-2004-5-12-250.PubMed CentralView ArticlePubMedGoogle Scholar
- Macqueen DJ, Johnston IA: An update on MyoD evolution in teleosts and a proposed consensus nomenclature to accommodate the tetraploidization of different vertebrate genomes. PloS One. 2008, 3: e1567-10.1371/journal.pone.0001567.PubMed CentralView ArticlePubMedGoogle Scholar
- Allendorf FW, Thorgaard GH: Tetraploidy and evolution of salmonid fishes. Evolutionary Genetics of Fishes. Edited by: Turner, BJ. 1984, New York. Pelnum, 1-53.View ArticleGoogle Scholar
- Elphick MR, Satou Y, Satoh N: The invertebrate ancestry of endocannabinoid signalling: an orthologue of vertebrate cannabinoid receptors in the urochordate Ciona intestinalis. Gene. 2003, 302: 95-101. 10.1016/S0378-1119(02)01094-6.View ArticlePubMedGoogle Scholar
- Elphick MR: BfCBR: a cannabinoid receptor ortholog in the cephalochordate Branchiostoma floridae (Amphioxus). Gene. 2007, 399: 65-71. 10.1016/j.gene.2007.04.025.View ArticlePubMedGoogle Scholar
- Holland PW, Garcia-Fernàndez J, Williams NA, Sidow A: Gene duplications and the origins of vertebrate development. Dev Suppl. 1994, 125-133.Google Scholar
- Dehal P, Boore JL: Two rounds of whole genome duplication in the ancestral vertebrate. PloS Biol. 2005, 3: e314-10.1371/journal.pbio.0030314.PubMed CentralView ArticlePubMedGoogle Scholar
- Nakatani Y, Takeda H, Kohara Y, Morishita S: Reconstruction of the vertebrate ancestral genome reveals dynamic genome reorganization in early vertebrates. Genome Res. 2007, 17: 1254-1265. 10.1101/gr.6316407.PubMed CentralView ArticlePubMedGoogle Scholar
- Hughes AL: Phylogenies of developmentally important proteins do not support the hypothesis of two rounds of genome duplication early in vertebrate history. J Mol Evol. 1999, 48: 565-576. 10.1007/PL00006499.View ArticlePubMedGoogle Scholar
- Hughes AL, da Silva J, Friedman R: Ancient genome duplications did not structure the human Hox-bearing chromosomes. Genome Res. 2001, 11: 771-780. 10.1101/gr.GR-1600R.PubMed CentralView ArticlePubMedGoogle Scholar
- Larhammar D, Lundin LG, Hallböök F: The human Hox-bearing chromosome regions did arise by block or chromosome (or even genome) duplications. Genome Res. 2002, 12: 1910-1920. 10.1101/gr.445702.PubMed CentralView ArticlePubMedGoogle Scholar
- Zhang J: Evolution by gene duplication: an update. Trends Ecol Evol. 2003, 18: 292-298. 10.1016/S0169-5347(03)00033-8.View ArticleGoogle Scholar
- Goldman N, Yang Z: A codon-based model of nucleotide substitution for protein-coding DNA sequences. Mol Biol Evol. 1994, 11: 725-736.PubMedGoogle Scholar
- Nei M, Gojobori T: Simple methods for estimating the numbers of synonymous and nonsynonymous nucleotide substitutions. Mol Biol Evol. 1986, 3: 418-426.PubMedGoogle Scholar
- Gu X: Statistical methods for testing functional divergence after gene duplication. Mol Biol Evol. 1999, 16: 1664-1674.View ArticlePubMedGoogle Scholar
- Knudsen B, Miyamoto MM: A likelihood ratio test for evolutionary rate shifts and functional divergence among proteins. Proc Natl Acad Sci USA. 2001, 98: 14512-14517. 10.1073/pnas.251526398.PubMed CentralView ArticlePubMedGoogle Scholar
- Giot L, Bader JS, Brouwer C, Chaudhuri A, Kuang B, Li Y, Hao YL, Ooi CE, Godwin B, Vitols E, Vijayadamodar G, Pochart P, Machineni H, Welsh M, Kong Y, Zerhusen B, Malcolm R, Varrone Z, Collis A, Minto M, Burgess S, McDaniel L, Stimpson E, Spriggs F, Williams J, Neurath K, Ioime N, Agee M, Voss E, Furtak K, Renzulli R, Aanensen N, Carrolla S, Bickelhaupt E, Lazovatsky Y, DaSilva A, Zhong J, Stanyon CA, Finley RL, White KP, Braverman M, Jarvie T, Gold S, Leach M, Knight J, Shimkets RA, McKenna MP, Chant J, Rothberg JM: A protein interaction map of Drosophila melanogaster. Science. 2003, 302: 1727-1736. 10.1126/science.1090289.View ArticlePubMedGoogle Scholar
- de la Fuente J, Maritz-Olivier C, Naranjo V, Ayoubi P, Nijhof AM, Almazán C, Canales M, Pérez de la Lastra JM, Galindo RC, Blouin EF, Gortazar C, Jongejan F, Kocan KM: Evidence of the role of tick subolesin in gene expression. BMC Genomics. 2008, 9: 372-10.1186/1471-2164-9-372.PubMed CentralView ArticlePubMedGoogle Scholar
- Gonzalez K, Baylies M: Bhringi: A novel Twist co-regulator. A Dros Res Conf. 2005, 46: 320B-Google Scholar
- Gu X, Velden Vander K: DIVERGE: phylogeny-based analysis for functional-structural divergence of a protein family. Bioinformatics. 2002, 18: 500-501. 10.1093/bioinformatics/18.3.500.View ArticlePubMedGoogle Scholar
- Nakai K, Horton P: PSORT: a program for detecting sorting signals in proteins and predicting their subcellular localization. Trends Biochem Sci. 1999, 24: 34-35. 10.1016/S0968-0004(98)01336-X.View ArticlePubMedGoogle Scholar
- Tzivion G, Shen YH, Zhu J: 14-3-3 proteins; bringing new definitions to scaffolding. Oncogene. 2001, 20: 6331-6338. 10.1038/sj.onc.1204777.View ArticlePubMedGoogle Scholar
- Almazán C, Blas-Machado U, Kocan KM, Yoshioka JH, Blouin EF, Mangold AJ, de la Fuente J: Characterization of three Ixodes scapularis cDNAs protective against tick infestations. Vaccine. 2005, 23: 4403-4416. 10.1016/j.vaccine.2005.04.012.View ArticlePubMedGoogle Scholar
- de la Fuente J, Almazán C, Blas-Machado U, Naranjo V, Mangold AJ, Blouin EF, Gortazar C, Kocan KM: The tick protective antigen, 4D8, is a conserved protein involved in modulation of tick blood ingestion and reproduction. Vaccine. 2006, 24: 4082-4095. 10.1016/j.vaccine.2006.02.046.View ArticlePubMedGoogle Scholar
- Thisse B, Thisse C: Fast Release Clones: A High Throughput Expression Analysis, gene expression section. 2004, [http://zfin.org]Google Scholar
- McPherron AC, Lawler AM, Lee SJ: Regulation of skeletal muscle mass in mice by a new TGF-beta superfamily member. Nature. 1997, 387: 83-90. 10.1038/387083a0.View ArticlePubMedGoogle Scholar
- van Hemert MJ, Steensma HY, van Heusden GP: 14-3-3 proteins: key regulators of cell division, signalling and apoptosis. Bioessays. 2001, 23: 936-946. 10.1002/bies.1134.View ArticlePubMedGoogle Scholar
- Sugiyama A, Miyagi Y, Komiya Y, Kurabe N, Kitanaka C, Kato N, Nagashima Y, Kuchino Y, Tashiro F: Forced expression of antisense 14-3-3beta RNA suppresses tumor cell growth in vitro and in vivo. Carcinogenesis. 2003, 24: 1549-1559. 10.1093/carcin/bgg113.View ArticlePubMedGoogle Scholar
- Takihara Y, Matsuda Y, Hara J: Role of the beta isoform of 14-3-3 proteins in cellular proliferation and oncogenic transformation. Carcinogenesis. 2000, 21: 2073-2077. 10.1093/carcin/21.11.2073.View ArticlePubMedGoogle Scholar
- Philip B, Lu Z, Gao Y: Regulation of GDF-8 signaling by the p38 MAPK. Cell Signal. 2005, 17: 365-375. 10.1016/j.cellsig.2004.08.003.View ArticlePubMedGoogle Scholar
- McFarlane C, Hennebry A, Thomas M, Plummer E, Ling N, Sharma M, Kambadur R: Myostatin signals through Pax7 to regulate satellite cell self-renewal. Exp Cell Res. 2008, 314: 317-329. 10.1016/j.yexcr.2007.09.012.View ArticlePubMedGoogle Scholar
- Aguilera C, Fernández-Majada V, Inglés-Esteve J, Rodilla V, Bigas A, Espinosa L: Efficient nuclear export of p65-IkappaBalpha complexes requires 14-3-3 proteins. J Cell Sci. 2006, 119: 3695-704. 10.1242/jcs.03086.View ArticlePubMedGoogle Scholar
- Baldwin AS: The NF-kappa B and I kappa B proteins: new discoveries and insights. Annu Rev Immunol. 1996, 14: 649-683. 10.1146/annurev.immunol.14.1.649.View ArticlePubMedGoogle Scholar
- Huang TT, Kudo N, Yoshida M, Miyamoto S: A nuclear export signal in the N-terminal regulatory domain of IkappaBalpha controls cytoplasmic localization of inactive NF-kappaB/IkappaBalpha complexes. Proc Natl Acad Sci USA. 2000, 97: 1014-1019. 10.1073/pnas.97.3.1014.PubMed CentralView ArticlePubMedGoogle Scholar
- Möller A, Avila FW, Erickson JW, Jäckle H: Drosophila BAP60 is an essential component of the Brahma complex, required for gene activation and repression. J Mol Biol. 2005, 352: 329-337. 10.1016/j.jmb.2005.07.009.View ArticlePubMedGoogle Scholar
- Peña-Rangel MT, Rodriguez I, Riesgo-Escovar JR: A misexpression study examining dorsal thorax formation in Drosophila melanogaster. Genetics. 2002, 160: 1035-1050.PubMed CentralPubMedGoogle Scholar
- Ou SH, Wu F, Harrich D, Garcia-Martinez LF, Gaynor RB: Cloning and characterization of a novel cellular protein, TDP-43, that binds to human immunodeficiency virus type 1 TAR DNA sequence motifs. J Virol. 1995, 69: 3584-3596.PubMed CentralPubMedGoogle Scholar
- Buratti E, Dork T, Zuccato E, Pagani F, Romano M, Baralle FE: Nuclear factor TDP-43 and SR proteins promote in vitro and in vivo CFTR exon 9 skipping. EMBO J. 2001, 20: 1774-1784. 10.1093/emboj/20.7.1774.PubMed CentralView ArticlePubMedGoogle Scholar
- Deng L, Wang C, Spencer E, Yang L, Braun A, You J, Slaughter C, Pickart C, Chen ZJ: Activation of the IkappaB kinase complex by TRAF6 requires a dimeric ubiquitin-conjugating enzyme complex and a unique polyubiquitin chain. Cell. 2000, 103: 351-361. 10.1016/S0092-8674(00)00126-4.View ArticlePubMedGoogle Scholar
- Craparo A, Freund R, Gustafson TA: 14-3-3 (epsilon) interacts with the insulin-like growth factor I receptor and insulin receptor substrate I in a phosphoserine-dependent manner. J Biol Chem. 1997, 272: 11663-11669. 10.1074/jbc.272.17.11663.View ArticlePubMedGoogle Scholar
- Kosaki A, Yamada K, Suga J, Otaka A, Kuzuya H: 14-3-3beta protein associates with insulin receptor substrate 1 and decreases insulin-stimulated phosphatidylinositol 3'-kinase activity in 3T3L1 adipocytes. J Biol Chem. 1998, 273: 940-944. 10.1074/jbc.273.2.940.View ArticlePubMedGoogle Scholar
- Wilson EM, Rotwein P: Control of MyoD function during initiation of muscle differentiation by an autocrine signaling pathway activated by insulin-like growth factor-II. J Biol Chem. 2006, 281: 29962-29971. 10.1074/jbc.M605445200.View ArticlePubMedGoogle Scholar
- Wheelan SJ, Church DM, Ostell JM: Spidey: a tool for mRNA-to-genomic alignments. Genome Res. 2001, 11: 1952-1957.PubMed CentralPubMedGoogle Scholar
- Pei J, Grishin NV: PROMALS: towards accurate multiple sequence alignments of distantly related proteins. Bioinformatics. 2007, 23: 802-808. 10.1093/bioinformatics/btm017.View ArticlePubMedGoogle Scholar
- Guindon S, Gascuel O: A simple, fast, and accurate algorithm to estimate large phylogenies by maximum likelihood. Syst Biology. 2003, 52: 696-704. 10.1080/10635150390235520.View ArticleGoogle Scholar
- Ronquist F, Huelsenbeck JP: MrBayes 3: Bayesian phylogenetic inference under mixed models. Bioinformatics. 2003, 19: 1572-1574. 10.1093/bioinformatics/btg180.View ArticlePubMedGoogle Scholar
- Tamura K, Dudley J, Nei M, Kumar S: MEGA4: Molecular Evolutionary Genetics Analysis (MEGA) software version 4.0. Mol Biol Evol. 2007, 24: 1596-1599. 10.1093/molbev/msm092.View ArticlePubMedGoogle Scholar
- Castresana J: Selection of conserved blocks from multiple alignments for their use in phylogenetic analysis. Mol Biol Evol. 2000, 17: 540-552.View ArticlePubMedGoogle Scholar
- Suyama M, Torrents D, Bork P: PAL2NAL: robust conversion of protein sequence alignments into the corresponding codon alignments. Nucleic Acids Res. 2006, 34: W609-W612. 10.1093/nar/gkl315.PubMed CentralView ArticlePubMedGoogle Scholar
- Yang Z: PAML 4: phylogenetic analysis by maximum likelihood. Mol Biol Evol. 2007, 24: 1586-1591. 10.1093/molbev/msm088.View ArticlePubMedGoogle Scholar
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