Abstract
Background
The evolution of complex sub-cellular structures such as the synapse requires the assembly of multiple proteins, each conferring added functionality to the integrated structure. Tracking the early evolution of synapses has not been possible without genomic information from the earliest branching animals. As the closest extant relatives to the Eumetazoa, Porifera (sponges) represent a pivotal group for understanding the evolution of nervous systems, because sponges lack neurons with clearly recognizable synapses, in contrast to eumetazoan animals.
Methodology/Principal Findings
We show that the genome of the demosponge Amphimedon queenslandica possesses a nearly complete set of post-synaptic protein homologs whose conserved interaction motifs suggest assembly into a complex structure. In the critical synaptic scaffold gene, dlg, residues that make hydrogen bonds and van der Waals interactions with the PDZ ligand are 100% conserved between sponge and human, as is the motif organization of the scaffolds. Expression in Amphimedon of multiple post-synaptic gene homologs in larval flask cells further supports the existence of an assembled structure. Among the few post-synaptic genes absent from Amphimedon, but present in Eumetazoa, are receptor genes including the entire ionotropic glutamate receptor family.
Conclusions/Significance
Highly conserved protein interaction motifs and co-expression in sponges of multiple proteins whose homologs interact in eumetazoan synapses indicate that a complex protein scaffold was present at the origin of animals, perhaps predating nervous systems. A relatively small number of crucial innovations to this pre-existing structure may represent the founding changes that led to a post-synaptic element.
Introduction
A fundamental question in biology is how complex, integrated traits like nervous systems originated. One approach to this question involves analyzing individually the numerous components of a defining structure, such as the post-synaptic proteins of nervous systems, to determine which – if any – predate an integrated nervous system. These exapted [1] components, defined as a biologic unit originating with a function other than that for which it was later selected, can be revealed by comparative genomics of animals with nervous systems and their closest relatives that lack them. Furthermore, integration of the exapted components as an assembled structure may be inferred by the conservation of protein-protein interaction motifs between proteins of modern nervous systems and those of early branching animals that lack nervous systems.
Porifera (sponges) lack organs and nervous systems and possess a limited number of discrete cell types [2]. They lie in one of at least two highly informative phylogenetic positions with regard to the last common ancestor of all animals. One phylogenetic hypothesis, favored mostly by mitochondrial genome data, but known in other taxa to produce a misleading phylogenetic signal [3], is that sponges and Cnidarians form part of a monophyletic group sister to Bilaterians [4], [5]. Under a second phylogenetic hypothesis supported by a large amount of molecular and morphological evidence, the siliceous (demosponges + hexactinellids) and calcareous sponge lineages are the earliest branches off the main metazoan tree [6]–[8]. Under either phylogenetic hypothesis, shared features between sponges and bilaterians likely represent features of ancestral animals. Under the second phylogenetic hypothesis, sponge genomes additionally can reveal shared features that predate nervous systems and cell-specific adaptations, such as the synaptic junction.
A core structure of the post-synaptic complex is the post-synaptic density, a membrane region specialized for signaling and plasticity. While a definitive proteomic analysis of post-synaptic components does not exist, the enumerated proteins range from 77 to ∼1000 [9]–[11], boundaries which probably represent under- and over-estimates. These reports describe multiple isoforms of receptors, channels, adaptors, scaffolds, and proteins involved in adhesion, signaling, translation, and the cytoskeleton. Orthologous family members of proteins found in the post-synaptic complex are present in many animals; thus one can track this gene set over evolutionary time. Critical to the assembly of these proteins into a functional structure are protein-protein interaction domains. Among synaptic post-synaptic proteins the PDZ domain (post synaptic density protein (PSD95), Drosophila disc large tumor suppressor (dlg), and zo-1 protein) is a highly versatile interaction motif that connects many of the proteins in the post-synaptic junction. PDZ domains consist of 80–90 amino-acids and proteins containing these domains are found in bacteria, yeast, plants, and animals.
Recently, genomes from two representative organisms at pivotal positions in nervous system evolution have become available. They are the demosponge Amphimedon queenslandica (formerly known as Reniera sp.), which lacks neurons and a nervous system, and the cnidarian Nematostella vectensis, which possesses a nerve net that has condensed at some locations into plexuses and nerve tracts [12].
Results
Post-synaptic Genes in Early Branching Animals
We assembled phylogenies for 36 gene families of the post-synaptic excitatory vertebrate complex (Figure S1). The genomes of two basal metazoans were surveyed, Amphimedon queenslandica and Nematostella vectensis, as well as genes from Drosophila melanogaster, as a representative protostome, and Homo sapiens, as a representative deuterostome. A surprisingly large number of vertebrate post-synaptic gene homologs are present in the sponge and nearly the entire gene set is present in Nematostella (Figure 1). Furthermore, the domain architecture of all those proteins is highly conserved in the investigated animal lineages (Figure S2). Based on conservation of established binding domains, this set of genes appears capable of assembling their products into a complete sub-synaptic scaffold layer. For example, the dlg gene is present as a single copy and includes an L27 domain that has been lost from mammalian dlg paralogs except SAP-97. Conservation among PDZ ligand sequences is displayed in Table 1. For comparisons of the intron-exon structure of sponge dlg gene with human SAP-97, see Table S2. As shown in Table S3, most of these post-synaptic families do not have orthologs in yeast (Saccharomyces cerevisiae), dicty (Dictyostelium discoideum) and plants (Arabidopsis thaliana and Oryza sativa).
Table 1. PDZ ligand conservation in animal kingdom.
Species | δ-catenin | PMCA | CRIPT | GABABR | mGluR | K+ Kir | EphrinR | ErbBR |
Human | ∼PDSWV | ∼LETSV | ∼KQTSV | ∼MVSGL | ∼TTSSL | ∼SESKV | ∼VGIPI | ∼EFIGA |
∼LETSL | ∼SSSSL | ∼NESKV | ∼TGIQV | ∼RNTVV | ||||
∼VETSL | ∼SSSTL | ∼ARGSV | ∼RMVPV | ∼LDVPV | ||||
Fly | ∼VRKQL | ∼TETAV | ∼KQSST | ∼IVEYL | ∼LQTNL | ∼IDSIC | ∼LDTII | ∼TETRV |
Worm | ∼DDSWV | ∼ETNNL | ∼RQSTT | ∼DEILL | ∼HDTFL | ∼ASGFL | ∼EGFFV | ∼KETCL |
Nematostella | ∼DFHAV | ∼IETAM | ∼RQSSA | ∼YVIRL | ∼ISTYL | ∼DILFV | ∼GELAI | N/A |
Sponge | ∼IDSWV | ∼KETEV | ∼VQSTV | ∼EYYCV | ∼NSTKL | ∼EATNM | ∼SPDFI | ∼ATSIA |
Sequences Correspond to the C-terminal 5 residues of the selected members of the gene families. N/A: gene not available. Species abbreviations used: Human, Homo sapiens; Fly, Drosophila Melanogaster; Worm, Caenorhabditis elegans; Nematostella, Nematostella vectensis; Sponge, Amphimedon queenslandica.
The main distinction among the post-synaptic gene set in the poriferan and cnidarian species are genes that encode excitatory post-synaptic receptors. Among the post-synaptic receptor genes absent from the Amphimedon and non-animal eukaryotic genomes such as yeast, Tetrahymena, and Dictyostelium are the Shaker type voltage gated K+ channel, neuroligin, and iGluRs (ionotropic glutamate receptors consisting of NMDA/AMPA/Kainate and Delta receptors). Orthologs of these genes are found in Nematostella. In the case of the iGluRs, Nematostella has a diversity of receptor subtypes comparable to human. At least 11 iGluRs are present in Nematostella compared to 18 in human and 20 to 30 in fly [13]. Of the 11 Nematostella iGluRs, eight clade with NMDA receptors and the remaining ones clade with AMPA/Kainate receptors (Figure S1.19). Multiple metabotropic glutamate receptors (mGluRs) are present in Amphimedon, but neither in Amphimedon, nor in Nematostella do they have sufficiently distinct sequence identities to be classified as members of bilaterian groups I, II, or III mGluRs (Figure S1.12). mGluR scaffolding proteins (Homer, Shank, PICK1) are also present in Amphimedon.
Atomic Level Conservation of the Binding Domain
To investigate conservation of the binding domain at the atomic level we compared the PDZ3–CRIPT interaction in Rattus norvegius (rat), Danio renio (fish), Drosophila melanogaster (fly), Anopheles gambiae (mosquito), Strongylocentrotus purpuratus (sea urchin), Caenorhabditis elegans (worm), Nematostella vectensis (cnidarian), and Amphimedon queenslandica (sponge) (Figure S3). We used the rat PDZ3–CRIPT co-crystal structure (PDB code 1BE9 [14], 1.82-Å resolution), as the starting point for our analysis of this protein–protein complex. The rat and Amphimedon sequences are only 50% identical (over the residues in the 1BE9 structure that are designated as the PDZ3 domain, which are residues 302–402 in 1BE9), while the average identity between the rat and each of the other organisms is 66%. Despite these differences over the entire domain, the core residues in direct contact with the peptide are identical between the rat and sponge (Figure S4).
Five separate homology models for the sponge PDZ3—CRIPT co-complex structure all demonstrated a shape that was highly similar to the rat crystal structure (average Cα RMSD 2.7 Å) (Figure 2A), with the largest deviations occurring in the N- and C-terminal regions and at the proline insertion in the sponge sequence between positions 318 and 319. To assess the effect of these rat-to-sponge sequence changes on binding, we computationally estimated the free energy of binding for the PDZ3—CRIPT interaction for the rat crystal structure and for each sponge model complex. The calculated total binding affinity varied by less than two-fold between these organisms, over all of the homology models, indicating that PDZ3 and CRIPT could have interacted in the animal ancestor.
Using three available crystal structures from dlg PDZ1-3 [14]–[17], a core union of 13 amino acids in contact with the ligand was defined (blue residues in Figure 2A). Within a specific PDZ domain these amino acids have 88.5% conservation among Homo, Drososphila, Nematostella, and Amphimedon; whereas the same conservation metric across the rest of the PDZ domain drops to ∼68% (Figure 2B). When the core union set of amino acids is compared between all PDZ domains its conservation is ∼59% suggesting that this group of amino acids—those that are most highly conserved within specific PDZ domains—are not only strong drivers of PDZ domain diversity and specificity but very likely gained their distinguishing features before the Eumetazoan-Poriferan ancestor.
Conservation of Domain Organization
A defined arrangement of motifs among many post-synaptic proteins is a well-recognized architectural feature of the complex. For example, the supra-motif organization of dlg beginning at the amino terminus consists of an L27 domain, three adjacent PDZ domains, a Src homology-3 (SH3) domain, and an inactive guanylate kinase-like (GUK) domain (Figure S2.23.a). This organization is invariant and predates the origins of the animal kingdom as indicated by its presence in the choanoflagellate, Monosiga brevicollis, a class of protists considered to be the closest living relatives of the animals (data not shown).
Prokaryotes and fungi have very few PDZ domain genes. Based on analysis of recently available genomes, the choanoflagellate Monosiga brevicollis has 58 PDZ containing genes and the cnidarian, Nematostella vectensis has 66 PDZ containing genes. Of these, 15 can be considered orthologous in terms of bidirectional sequence alignments, but only seven are conserved through the entirety of their domain architectures (data not shown). dlg and Shank are among these seven. At least fifty-four PDZ containing genes, many of which are among the synaptic gene repertoire, were present in the Eumetazoan ancestor and are conserved till present day lineages of Deuterostomes, Protostomes and Cnidaria. Other gene families such as the cadherins and tyrosine kinases also appeared before the metazoa/choanozoa split and laid the ground work for rapid expansion of these families within metazoan lineages [18].
A conserved supra-motif organization implies evolutionary constraints on the manner in which the scaffold presents its ligands, and therefore, one might expect to find conserved features of inter-domain regions. Although the spacing between domains is not conserved (Figure S2.23.a), several highly conserved proline codons and other residues occur in the dlg inter-domain sequences. The positioning of ligands on the dlg platform does not appear to depend precisely on the spacing of the dlg PDZ domains; more likely axis rotation of the domains to allow multiple binding events as has been reported with PDZ1 and PDZ2 domains of syntenin [19] is the conserved feature.
Among the post-synaptic genes present in Amphimedon, many other interaction domains are also conserved making it likely that the ancient signature motifs were competent to interact with ligands. For example, in mammals the Shank—Cortactin interaction occurs through a PPVP motif in Shank and an SH3 domain in Cortactin, both of which are present in the Amphimedon genome. The interaction between Shank and Homer occurs via a conserved PPXXF motif in Shank, and an EVH1 domain in Homer which is also present in Amphimedon (as is an EVH1 domain in Cortactin). The conservation of PDZ ligand sequences is shown in Table 1. The mammalian Shank-mGluR interaction occurs via a PDZ interaction. Amphimedon Shank has a PDZ domain and its mGluR has a PDZ-binding motif. The Homer binding domain in IP3R is nearly identical throughout the Metazoa (the PPKKFR motif has a small change to PPMKFR in Amphimedon). On the other hand, GKAP, while present in Amphimedon, did not acquire its PDZ ligand sequence until after the protostome-deuterostome split. This observation suggests that the GKAP interaction with PSD-95 via its GK and SH3 domains [20] is more ancient than its association with Shank even though a Shank ortholog is present in the sponge.
Expression of Post-synaptic Gene Orthologs in Sponge
To determine whether the ‘synaptic’ genes identified in Amphimedon are expressed in the same cell type we performed in situ hybridization for DLG (dlg), HOMER, GRIP, CRIPT and GKAP using sponge gene probe sequences. All five genes were expressed in the flask cells, which are large ciliated cells that protrude from the columnar epithelial-like outer layer of the sponge larva (Figure 3). They are found through out the epidermis, but at higher density towards the anterior. Sections of an Amphimedon larva revealed that these genes are not expressed together in any other larval cell types. This expression data is therefore consistent with the existence of a proto-postsynaptic-like scaffold in larval flask cells.
In addition to the labelling in flask cells all five genes show pleiotropic expression patterns. GRIP, HOMER and CRIPT appear to be expressed in a subset of the flask cells (Figure S5). dlg transcripts also are detected throughout the outer epithelial- like layer (OL). Analysis of embryonic expression of dlg reveals that this gene is expressed early in cells fated for the outer layer and later down regulated in all cells, except flask cells (Figure S6). GKAP and HOMER also display relatively high levels of expression in the subepithelial (middle) layer (SL) and large cells inside the pigment ring and a subset of ICM cells. In addition to the flask cells, GRIP transcripts are detected at low levels in the SL and a few ICM cells. CRIPT is expressed in a similar pattern to GRIP. The differential expression patterns of these five genes support their specificity. Furthermore, our previous studies have demonstrated other unique labelling patterns in the larva [21].
Discussion
The data presented here support the presence of a proto-post-synaptic scaffold in the last common ancestor to all living animals. The presence of a large number of post-synaptic genes in the genome of demosponge Amphimedon, the nearly absolute conservation of binding domains and ligands between this sponge and animals with neurons, as well as the expression of a set of post-synaptic mRNAs in the same cell type, suggest the proto-post-synaptic scaffold existed as an assembled functional structure very early in animal evolution. More definitive evidence will require immunocytochemical protein localization. The set of genes found in Amphimedon are mainly components of a sub-membranous specialization in animals with nervous systems known as the post-synaptic density (PSD). Although no clear morphological correlate of a PSD or a synapse has been observed in sponges, osmophilic regions with septae have been observed in the larvae of homoscleromorph sponges as well as impulse conduction in the syncytial hexactinellid sponge Rhabdocalyptus dawsoni ([22], [23]; and personal communication, Sally Leys).
The core potential for evolving synapses in sponges may extend to other types of junctions. As metazoan cell types emerged, both orthologs and paralogs of the genes found here became components of junctions other than synapses as well. Therefore, the set of protosynaptic genes (as well as other genes) might be viewed not as prototypical with regard to synaptic junction evolution, but as a set of genes capable of giving rise to a diversity of junctions. For example, the first and second PDZ domains of dlg diversified greatly in terms of its surrounding domain organization such that PDZ domains which possibly duplicated from dlg PDZ 1/2 are found in true metazoan genes such as Erbin/densin-180, scribbled, and ZO. These early metazoan paralogs may have contributed to the evolution of other junctions such as the tight junction and to the establishment of polarity in epithelial cells.
The Amphimedon cell type that most prominently expresses the post-synaptic orthologs is the flask cell found in larva and characterized by a deep cilium and a large population of basal vesicles. The flask cell may have some environmental sensing properties that require membrane specializations [24] and perhaps reflect an evolutionary intermediate and a cell type that served as a starting point for the evolution of neurons. Alternatively, the functional neuron evolved prior to the divergence of sponges and eumetazoan lineages, and selective loss of genes encoding transmembrane receptors yielded the flask cell, which in this scenario is an evolutionary relic of the nerve cell.
The modular structure of the proto-post-synaptic complex, defined in terms of its motif organization, changed little over the entire course of animal evolution. Yet, assuming sponges are sister to eumetazoans, the few innovations that came with the origination of nervous systems were novel binding partners to an existing scaffold (Table S3). These genes tend to be trans-membrane proteins. For example, both NMDA receptors and neuroligins seem to have appeared during evolution well after the dlg scaffold to which they bind. These two genes represent a central organizing unit for the excitatory glutamatergic synapse [25]. A Shaker type K channel, not present in Amphimedon, also linked to the pre-existing dlg. Similarly, the AMPA receptors appeared after GRIP, which serves as their scaffold. In fact, a GRIP PDZ 4 and PDZ 5 domain, the domains to which the AMPA receptors bind, is distinguishable in the sponge GRIP ortholog. And GKAP, albeit present in sponge, did not acquire its PDZ ligand sequence until after protostome-deuterostome split.
Whether orthologs of these few critical post-synaptic genes were lost in the sponge or acquired by an evolutionary descendant, does not negate the finding that a proto-post-synaptic complex existed at the origin of the animal kingdom. Sponge genomes can reveal shared features that predate nervous systems and cell-specific adaptations, such as the synaptic junction. The evolution of the nervous system required network strategies by which novel binding partners can compete with pre-existing ligands in a manner that does not disrupt the assembly of the post-synaptic complex. Up-regulation of scaffold protein expression represents a possible solution to this issue, and indeed most of the scaffold proteins represent abundant components of the synapse.
Ancestral membrane-spanning receptors related to those genes which appeared to transform the proto-synaptic scaffold to a functional synaptic machine were present in neoproterozoic animals, possibly lost in the sponge, and may have critically contributed to the evolution of the post-synaptic complex in a Poriferan-Eumetazoan common ancestor. Relatively minimal modifications of the core modular structure could result in functional evolutionary leaps. The existence of a versatile proto-synaptic complex suggests that the post-synaptic junction has a modular past which is seamlessly inapparent except through its evolutionary history.
Materials and Methods
Isolation of Amphimedon genes
Genomic traces and ESTs were generated as part a collaborative genome project with the Joint Genome Institute and are publicly available (http://www.ncbi.nlm.nih.gov/Traces). Genes were identified in EST and genome trace archives based on similarity to vertebrate sequences. The 5′ part of these genes was cloned by means of 5′ RACE using BD Smart Kit (ClonTech) and gene specific primers. The complete coding sequence was confirmed by RT-PCR of embryonic RNA (primer sequences available upon request).
Data Collection and Phylogenetic Analyses
For selected synaptic genes, protein sequences of Homo sapiens, Drosophila melanogaster, Saccharomyces cerevisiae, Dictyostelium discoideum, Arabidopsis thaliana, and Oryza sativa orthologs were collected by BLASTP searches on the NCBI blast server (http://www.ncbi.nlm.nih.gov/BLAST/) following a symmetrical best hit approach (SymBet) [26] with a cut-off threshold of E-value e−5 or less. For each lineage, the dataset was enlarged, when possible, by the inclusion of co-orthologs [27] which are two or more genes in one lineage that are, collectively, orthologous to one or more genes in another lineage due to lineage specific duplications. As an example, human SAP-97, PSD-95, SAP-102 and Chapsyn-110 are co-orthologs with fly dlg.
Those sequences were used to query the database of Amphimedon queenslandica genomic traces and Nematostella vectensis genomic contigs [28] by tBlastn [29] for SymBets. For Amphimedon queries, the matching traces were collected, manually evaluated and assembled into genomic contigs using an in house assembly pipeline (sequential use of MegaBlast [30] for selection of additional traces and PHRAP or PCAP assemblers [31], [32] for construction of the contigs). To reduce the risk of analyzing non-sponge contaminants, any genomic region was required to be present on multiple traces. Gene intron/exon structures were identified using GenomeScan [33] and GENSCAN [34] and additional manual inspection. Conserved regions were subjected to further scrutiny to make sure the homology spans a considerable length of the original gene. Nematostella sequences were also predicted by GenomeScan and GENSCAN and added to the dataset in cases where an Amphimedon ortholog could not be found.
Although it is not easy to resolve the early metazoan phylogenetic history [35], we focused on the simpler task of whether a given gene family originated before or after the Poriferan-Eumetazoan (or Cnidarian-Bilaterian) split. For each Amphimedon or Nematostella candidate for orthology, we ran comprehensive phylogenetic analyses. If orthologs of the gene family are found in selected non-animal species, then the choice of outgroups for the phylogenetic tree is straight-forward; they are the gene family members from those non-animals. On the other hand, if the gene family members are found only in animals, phylogeny is best established by including other closely related gene families in the dataset. Most closely related gene families are often outparalogs [26]; paralogous genes resulting from a lineage-specific duplication preceding a given speciation event. Accordingly, our dataset was enlarged, when possible, by the inclusion of the most closely related outparalogs from the above mentioned genomes with respect to the Poriferan-Eumetazoan or Cnidarian-Bilaterian splits. Inclusion of outparalogs in the dataset ensured that we were not incorrectly classifying a closely-related gene in a wrong family. In some cases, it was not possible to enlarge the dataset due to lack of any outparalogs, so we had no choice but to make phylogeny with Amphimedon or Nematostella sequences as the root of the tree. In those cases, orthology was further concluded by the requirement of a high-scoring SymBet and shared domain architecture. Protein accession numbers for all those proteins in each dataset are provided in Table S1.
Protein domains were identified using PFAM and SMART [36], [37] and those domain architectures for each protein family from selected species are illustrated in Figure S2. Sequences spanning one or more of those shared domains were used for multiple sequence alignment with ClustalW [38]. For uncertain cases, alignments with T-Coffee [39] and different ClustalW parameters were compared to combine them into a final alignment. Gene family phylogenies were determined using Maximum Parsimony (MP) and Neighbour Joining (NJ) of p-distances, implemented in PAUP* [40]; Maximum Likelihood (ML) implemented in phyml [41]; and Bayesian MCMC (BMCMC), implemented in MrBayes [42]. To assess confidence in individual nodes, MP, ML and NJ bootstrapping were implemented with 1000 pseudoreplicates and BMCMC posterior probabilities were reported. For ML analyses, the best-fit likelihood model was determined using ProtTest [43]. The BMCMC analyses were conducted by running two independent analyses, each with four heated Markov chains, using a mixed amino-acid model, until a convergence diagnostic (standard deviation of split frequencies (SDSF)) fell below 0.01. Initial steps in the Markov chains were discarded as burn-in. Trees were rooted by selecting an outgroup gene according to the most parsimonious duplication and loss scenario using NOTUNG 2.0 [44] with respect to conventional species trees. Those phylogenetic trees are illustrated in Figure S1.
As a special case, phylogeny of 12 PDZ domain-containing protein families were determined with a single domain tree which includes selected PDZ domains of those proteins, numbered according to their spatial distribution on their corresponding scaffold. Those sequences were aligned using the global pair algorithm of MAFFT [45] which aligns large sets of distantly related sequences of similar length with high accuracy. For phylogenetic analysis, only a single human ortholog for each of those PDZ domain-containing proteins were included to ensure the BMCMC trees converge (otherwise our computers were not able to obtain a SDSF below 0.01).
Computation of Structures
Hydrogen atoms were added to the 1BE9 rat crystal structure using the HBUILD facility [46] and the PARAM22 parameter set [47] of CHARMM [48]. All water molecules were removed from the structure, except for those making hydrogen bonds with the peptide. Missing side chains (F301, D332, and K5) were re-built, and the missing atoms of K5 were then minimized.
Homology models were generating using Modeller version 8v2 [49], using the rat (1BE9) crystal structure and each other sequence as aligned in Figure S3. Ten models were requested for each sequence, and the structure was selected that had the lowest Modeller objective function without errors in PROCHECK [50]. The five homology models referenced for sponge are the first five homology models generated by Modeller. Binding free energies were calculated as the sum of van der Waals, solvent-accessible surface area [51], and continuum electrostatic interaction and solvation terms, after minimizing the CRIPT peptide in the bound-state.
In Situ Hybridization
Whole mount in situ hybridizations were performed as described [21]. In short, larvae were fixed in 4% paraformaldehyde/0.05% glutaraldehyde in MOPS buffer and stepped into 70% ethanol. After rehydratation, proteinase K treatment and postfixation, larvae were hybridized over 20 h with digoxigenin-labeled antisense riboprobes transcribed from cDNAs fragments cloned into pGEMT plasmid. Probe lengths were as follows: DLG: 1kb, Homer: ∼ 800 bp, GKAP: ∼500 bp, GRIP: 400 bp, CRIPT: 350 bp. Following washes to remove excess probe larvae were incubated with alkaline phosphatase-conjugated anti-digoxigenin antibody, washed, and the color reaction was performed using NBT/BCIP as a substrate. Larvae were photographed whole mount and subsequently dehydrated in ethanol and infiltrated with Epon 812. Sections were cut at 5 um and mounted in Histomount. A detailed protocol is available upon request.
Supporting Information
Acknowledgments
We gratefully acknowledge the significant contribution and support of The US Department of Energy Joint Genome Institute in the production of Amphimedon (Reniera) and Nematostella genomic and EST sequences used in this study through the Community Sequencing Program. The following individuals contributed helpful comments: Boris Shraiman, Yoram Barak, Ilya Feit, James Weaver, Michi Izumi, Dan Morse, Ambuj Singh, Omer Egecioglu, Eduardo Orias, Sally Leys, Sira Sriswasdi, and Gus Gurley. We thank Daniel Rokhsar and Mark Martindale for making Amphimedon (Reniera) and Nematostella genomic and EST sequences available.
Footnotes
Competing Interests: The authors have declared that no competing interests exist.
Funding: This work was supported by Australian Research Council grants to B.M.D.
References
- 1.Gould SJ, Vrba ES. Exaptation; a missing term in the science of form Paleobiology. 1982;8(1):4–15. [Google Scholar]
- 2.Hooper JNA, Van Soest RWM. Systema Porifera: A Guide to the classification of sponges Vols 1&2. New York: Kluwer Academic/Plenum Publishers; 2002. [Google Scholar]
- 3.Delsuc F, Brinkmann H, Philippe H. Phylogenomics and the reconstruction of the tree of life. Nat Rev Genet. 2005;6(5):361–375. doi: 10.1038/nrg1603. [DOI] [PubMed] [Google Scholar]
- 4.Wang X, Lavrov DV. Mitochondrial Genome of the Homoscleromorph Oscarella carmela (Porifera, Demospongiae) Reveals Unexpected Complexity in the Common Ancestor of Sponges and Other Animals. Molecular biology and evolution. 2007;24(2):363–373. doi: 10.1093/molbev/msl167. [DOI] [PubMed] [Google Scholar]
- 5.Erpenbeck D, Voigt O, Adamski M, Adamska M, Hooper JN, et al. Mitochondrial diversity of early-branching metazoa is revealed by the complete mt genome of a haplosclerid demosponge. Molecular biology and evolution. 2007;24(1):19–22. doi: 10.1093/molbev/msl154. [DOI] [PubMed] [Google Scholar]
- 6.Cavalier-Smith T, Chao E, Boury-Esnault N, Vacelet J. Sponge phylogeny, animal monophyly, and the origin of the nervous system: 18S rRNA evidence. Can J Zool. 1996;74:2031–2045. [Google Scholar]
- 7.Borchiellini C, Manuel M, Alivon E, Boury-Esnault N, Vacelet J, et al. Sponge paraphyly and the origin of Metazoa. J Evol Biol. 2001;(14):171–179. doi: 10.1046/j.1420-9101.2001.00244.x. [DOI] [PubMed] [Google Scholar]
- 8.Peterson KJ, Butterfield NJ. Origin of the Eumetazoa: testing ecological predictions of molecular clocks against the Proterozoic fossil record. Proceedings of the National Academy of Sciences of the United States of America. 2005;102(27):9547–9552. doi: 10.1073/pnas.0503660102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Husi H, Ward MA, Choudhary JS, Blackstock WP, Grant SG. Proteomic analysis of NMDA receptor-adhesion protein signaling complexes. Nature neuroscience. 2000;3(7):661–669. doi: 10.1038/76615. [DOI] [PubMed] [Google Scholar]
- 10.Peng J, Kim MJ, Cheng D, Duong DM, Gygi SP, et al. Semiquantitative proteomic analysis of rat forebrain postsynaptic density fractions by mass spectrometry. The Journal of biological chemistry. 2004;279(20):21003–21011. doi: 10.1074/jbc.M400103200. [DOI] [PubMed] [Google Scholar]
- 11.Grant SG. The synapse proteome and phosphoproteome: a new paradigm for synapse biology. Biochemical Society transactions. 2006;34(Pt 1):59–63. doi: 10.1042/BST0340059. [DOI] [PubMed] [Google Scholar]
- 12.Grimmelikhuijzen CJ, Westfall JA. The nervous systems of cnidarians. Exs. 1995;72:7–24. doi: 10.1007/978-3-0348-9219-3_2. [DOI] [PubMed] [Google Scholar]
- 13.Littleton JT, Ganetzky B. Ion channels and synaptic organization: analysis of the Drosophila genome. Neuron. 2000;26(1):35–43. doi: 10.1016/s0896-6273(00)81135-6. [DOI] [PubMed] [Google Scholar]
- 14.Doyle DA, Lee A, Lewis J, Kim E, Sheng M, et al. Crystal structures of a complexed and peptide-free membrane protein-binding domain: molecular basis of peptide recognition by PDZ. Cell. 1996;85(7):1067–1076. doi: 10.1016/s0092-8674(00)81307-0. [DOI] [PubMed] [Google Scholar]
- 15.Berman HM, Westbrook J, Feng Z, Gilliland G, Bhat TN, et al. The Protein Data Bank. Nucleic acids research. 2000;28(1):235–242. doi: 10.1093/nar/28.1.235. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Turnbull AP, Phillips C, Bunkoczi G, Debreczeni J, Ugochukwu E, et al. (To be published (PDB id: 2I1N)) PDB id: 2I1N. Crystal structure of the 1st PDZ domain of Human DLG3 [Google Scholar]
- 17.Von Ossowski I, Oksanen E, Cai C, Sundberg M, Goldman A, et al. (To be published (PDB id: 2G2L)) PDB id: 2G2L. Crystal Structure of the Second PDZ Domain of SAP97 in Complex with a GluR-A C-terminal Peptide. doi: 10.1111/j.1742-4658.2006.05521.x. [DOI] [PubMed] [Google Scholar]
- 18.Nichols SA, Dirks W, Pearse JS, King N. Early evolution of animal cell signaling and adhesion genes. Proceedings of the National Academy of Sciences of the United States of America. 2006;103(33):12451–12456. [Google Scholar]
- 19.Grembecka J, Cierpicki T, Devedjiev Y, Derewenda U, Kang BS, et al. The binding of the PDZ tandem of syntenin to target proteins. Biochemistry. 2006;45(11):3674–3683. doi: 10.1021/bi052225y. [DOI] [PubMed] [Google Scholar]
- 20.Wu H, Reissner C, Kuhlendahl S, Coblentz B, Reuver S, et al. Intramolecular interactions regulate SAP97 binding to GKAP. The EMBO journal. 2000;19(21):5740–5751. doi: 10.1093/emboj/19.21.5740. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Larroux C, Fahey B, Liubicich D, Hinman VF, Gauthier M, et al. Developmental expression of transcription factor genes in a demosponge: insights into the origin of metazoan multicellularity. Evolution & development. 2006;8(2):150–173. doi: 10.1111/j.1525-142X.2006.00086.x. [DOI] [PubMed] [Google Scholar]
- 22.Lawn ID, Mackie GO, Silver G. Conduction system in a sponge. Science. 1981;211(4487):1169–1171. doi: 10.1126/science.7466387. [DOI] [PubMed] [Google Scholar]
- 23.Leys SP, Mackie GO, Meech RW. Impulse conduction in a sponge. J Exp Biol. 1999;202(Pt 9):1139–1150. doi: 10.1242/jeb.202.9.1139. [DOI] [PubMed] [Google Scholar]
- 24.Leys SP, Degnan BM. Cytological basis of photoresponsive behavior in a sponge larva. The Biological bulletin. 2001;201(3):323–338. doi: 10.2307/1543611. [DOI] [PubMed] [Google Scholar]
- 25.Craig AM, Kang Y. Neurexin-neuroligin signaling in synapse development. Current opinion in neurobiology. 2007;17(1):43–52. doi: 10.1016/j.conb.2007.01.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Koonin EV. Orthologs, paralogs, and evolutionary genomics. Annual review of genetics. 2005;39:309–338. doi: 10.1146/annurev.genet.39.073003.114725. [DOI] [PubMed] [Google Scholar]
- 27.Sonnhammer EL, Koonin EV. Orthology, paralogy and proposed classification for paralog subtypes. Trends Genet. 2002;18(12):619–620. doi: 10.1016/s0168-9525(02)02793-2. [DOI] [PubMed] [Google Scholar]
- 28.Sullivan JC, Ryan JF, Watson JA, Webb J, Mullikin JC, et al. StellaBase: the Nematostella vectensis Genomics Database. Nucleic acids research. 2006;34(Database issue):D495–499. doi: 10.1093/nar/gkj020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Altschul SF, Madden TL, Schaffer AA, Zhang J, Zhang Z, et al. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic acids research. 1997;25(17):3389–3402. doi: 10.1093/nar/25.17.3389. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Zhang Z, Schwartz S, Wagner L, Miller W. A greedy algorithm for aligning DNA sequences. J Comput Biol. 2000;7(1–2):203–214. doi: 10.1089/10665270050081478. [DOI] [PubMed] [Google Scholar]
- 31.Gordon D, Abajian C, Green P. Consed: a graphical tool for sequence finishing. Genome research. 1998;8(3):195–202. doi: 10.1101/gr.8.3.195. [DOI] [PubMed] [Google Scholar]
- 32.Huang X, Wang J, Aluru S, Yang SP, Hillier L. PCAP: a whole-genome assembly program. Genome research. 2003;13(9):2164–2170. doi: 10.1101/gr.1390403. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Yeh RF, Lim LP, Burge CB. Computational inference of homologous gene structures in the human genome. Genome research. 2001;11(5):803–816. doi: 10.1101/gr.175701. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Burge C, Karlin S. Prediction of complete gene structures in human genomic DNA. Journal of molecular biology. 1997;268(1):78–94. doi: 10.1006/jmbi.1997.0951. [DOI] [PubMed] [Google Scholar]
- 35.Rokas A, King N, Finnerty J, Carroll SB. Conflicting phylogenetic signals at the base of the metazoan tree. Evolution & development. 2003;5(4):346–359. doi: 10.1046/j.1525-142x.2003.03042.x. [DOI] [PubMed] [Google Scholar]
- 36.Schultz J, Milpetz F, Bork P, Ponting CP. SMART, a simple modular architecture research tool: identification of signaling domains. Proceedings of the National Academy of Sciences of the United States of America. 1998;95(11):5857–5864. doi: 10.1073/pnas.95.11.5857. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Bateman A, Birney E, Cerruti L, Durbin R, Etwiller L, et al. The Pfam protein families database. Nucleic acids research. 2002;30(1):276–280. doi: 10.1093/nar/30.1.276. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Thompson JD, Higgins DG, Gibson TJ. CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice. Nucleic acids research. 1994;22(22):4673–4680. doi: 10.1093/nar/22.22.4673. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Notredame C, Higgins DG, Heringa J. T-Coffee: A novel method for fast and accurate multiple sequence alignment. Journal of molecular biology. 2000;302(1):205–217. doi: 10.1006/jmbi.2000.4042. [DOI] [PubMed] [Google Scholar]
- 40.Swofford D. 2003. PAUP*: Phylogenetic Analylsis Using Parsimony (* and Other Methods): Sinauer Associates, Sunderland, MA. [Google Scholar]
- 41.Guindon S, Gascuel O. A simple, fast, and accurate algorithm to estimate large phylogenies by maximum likelihood. Systematic biology. 2003;52(5):696–704. doi: 10.1080/10635150390235520. [DOI] [PubMed] [Google Scholar]
- 42.Ronquist F, Huelsenbeck JP. MrBayes 3: Bayesian phylogenetic inference under mixed models. Bioinformatics (Oxford, England) 2003;19(12):1572–1574. doi: 10.1093/bioinformatics/btg180. [DOI] [PubMed] [Google Scholar]
- 43.Abascal F, Zardoya R, Posada D. ProtTest: selection of best-fit models of protein evolution. Bioinformatics (Oxford, England) 2005;21(9):2104–2105. doi: 10.1093/bioinformatics/bti263. [DOI] [PubMed] [Google Scholar]
- 44.Durand D, Halldorsson BV, Vernot B. A hybrid micro-macroevolutionary approach to gene tree reconstruction. J Comput Biol. 2006;13(2):320–335. doi: 10.1089/cmb.2006.13.320. [DOI] [PubMed] [Google Scholar]
- 45.Katoh K, Misawa K, Kuma K, Miyata T. MAFFT: a novel method for rapid multiple sequence alignment based on fast Fourier transform. Nucleic acids research. 2002;30(14):3059–3066. doi: 10.1093/nar/gkf436. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Brunger AT, Karplus M. Polar hydrogen positions in proteins: empirical energy placement and neutron diffraction comparison. Proteins. 1988;4(2):148–156. doi: 10.1002/prot.340040208. [DOI] [PubMed] [Google Scholar]
- 47.MacKerell AD, D B, Bellott M, Dunbrack RL, Evanseck JD, et al. All-Atom Empirical Potential for Molecular Modeling and Dynamics Studies of Proteins. J Phys Chem B. 1998;102(18):3586–3616. doi: 10.1021/jp973084f. [DOI] [PubMed] [Google Scholar]
- 48.Brooks BR, Bruccoleri RE, Olafson BD, States DJ, Swaminathan S, et al. CHARMM: A program for macromolecular energy, minimization, and dynamics calculations. J Comput Chem. 1983;4:187–217. [Google Scholar]
- 49.Sali A. Comparative protein modeling by satisfaction of spatial restraints. Molecular medicine today. 1995;1(6):270–277. doi: 10.1016/s1357-4310(95)91170-7. [DOI] [PubMed] [Google Scholar]
- 50.Laskowski RA, MacArthur MW, Moss DS, Thornton JM. PROCHECK: a program to check the stereochemical quality of protein structures. J Appl Cryst. 1993;26:283–291. [Google Scholar]
- 51.Sitkoff D, Sharp KA, Honig B. Accurate calculation of hydration free-energies using macroscopic solvent models. J Phys Chem. 1994;98:1978–1988. [Google Scholar]
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