Abstract What makes an animal? To find the answer we need to integrate data from disciplines such as phylogenetics, paleontology, ecology, development, anatomy, and physiology, as well as molecular biology and genomics. Knowledge of which groups branched before and after the origin of animals is essential. Recent advances in molecular phylogenetics, together with the discovery of new eukaryotic lineages, have drawn a new picture of the ancestry of animals. The nature of the early diverging animal lineages and the timing of the transition are in a state of flux. Various factors have been linked to this striking transition to multicellularity, including changes in environmental conditions and the ecological interactions between unicellular eukaryotes. The current wealth of genomic data has also shed new light on this question. The analysis of the genome of various close relatives of animals has revealed the importance that recycling of ancient genes into metazoan biological functions played into animal origins. A recent study reconstructing the genome of the last common ancestor of extant animals has unveiled an unprecedented emergence of new genes, highlighting the role of genomic novelty in the origin of metazoans. Introduction “What is an animal?” was the question asked in a seminal paper on the concept of the zootype (Slack et al. 1993), wherein the authors articulated the difficulty of finding a suitable definition for animals. Animals were studied as long as twenty-five centuries ago by Aristotle et al. (1862) in his Historia Animālium, were named Animalia by Linnaeus (1758) in his Systema Naturae, and later renamed Metazoa by Haeckel (1874a). Animalis in Latin means “having breath,” “having soul,” or “living being.” Cavalier-Smith (1998) defined animals as phagotrophic multicellular eukaryotes with connective tissue, located between two dissimilar epithelia, and composed of collagen. A later definition included more characters, such as reproduction through an egg cell fertilized by a monociliated sperm cell, embryonic development (blastula followed by gastrulation), cell coordinated through signal transduction, specific mechanisms of cell adhesion (cell–cell junctions, basal lamina, and extracellular matrix), presence of ectoderm and endoderm, or the presence of sensory cells in the epithelium (Adl et al. 2012). The diversity of definitions is testament to the astonishing variety of shapes and forms of the members of the Animal Kingdom. At the same time this diversity makes animals a great model for studying the interplay between the evolution of genomes and morphologies. The Metazoa is the eukaryotic kingdom with the largest number of described species, over 1.5 million divided into approximately 33 phyla (Zhang 2013). This is in contrast to the number of species described in plants (340,000; Larsen et al. 2017) or fungi (100,000; Blackwell 2011). Approximately 95% of this species-level animal diversity is found in only five phyla: arthropods (80% of the described animal species), molluscs (7.5%), chordates (4%), flatworms (2%), and nematodes (1.6%). The real number of animal species is likely much larger, with estimates ranging from 8 (Mora et al. 2011) to 163 million species (Larsen et al. 2017). This diversity and our biased biophilia (Wilson 1984) has placed animals in a central position in natural history. Despite this, the study of many groups of marine and/or microscopic animals has been especially neglected despite their central role in ecology and evolution. Indeed, taxonomic chauvinism (Bonnet et al. 2002) led to their omission even in studies analyzing biases on taxonomic research (Troudet et al. 2017). Other important features of metazoans are multicellularity, which is also found in other eukaryotes, and the largest diversity of cell types and body plans among multicellular organisms (Rokas 2008a). The study of the evolutionary process that preceded this surge of diversity requires the integration of multiple disciplines. All levels of biological organization are critical, from molecules to ecosystems. The fields of molecular evolution, genetics and genomics, evolutionary developmental biology, anatomy and physiology, ecology, and the fossil record are fundamental. These areas have greatly benefited from molecular advances, such as the polymerase chain reaction (PCR) in the late twentieth century, or the current flood of omics data from next generation sequencing (NGS). Here I review the impact of advances in molecular biology and genomics on our understanding of the origin of animals. The phylogenetic framework To investigate a biological transition linked to a node of an evolutionary tree we must accurately identify the extant organisms branching before and after that node. Since the nineteenth century the lineages thought to flank the origin of animals have been choanoflagellates and sponges (Fig. 1). Haeckel did not consider sponges (Phylum Porifera) in his first trees (Haeckel 1866), but after studying their development (Haeckel 1872) believed them essential to his Gastraea hypothesis (Haeckel 1874b). He placed poriferans as an early twig within the zoophyta (“plant animals”) together with cnidarians (Haeckel 1874a). At the other side of the node, the close relationship between choanoflagellates and animals was first proposed by Dujardin (1841) and later by James-Clark (1871), based on the similarity between choanoflagellates and the choanocytes of poriferans, although their homology is still under investigation (Mah et al. 2014). This understanding of the evolutionary position of sponges and choanoflagellates remained stable for over 100 years and played a major role in several hypotheses on the genesis of metazoans (e.g., Hyman 1940). Fig. 1 View largeDownload slide (A) Drawing of a feeding choanoflagellate (Kent 1880). (B) A colony of choanoflagellates (Metchnikoff 1886). (C) Plate 5 from Kunstformen der Natur (Haeckel 1904) on calcarean sponges (Phylum Porifera). (D) Plate 27 from Kunstformen der Natur (Haeckel 1904) on comb jellies (Phylum Ctenophora). Fig. 1 View largeDownload slide (A) Drawing of a feeding choanoflagellate (Kent 1880). (B) A colony of choanoflagellates (Metchnikoff 1886). (C) Plate 5 from Kunstformen der Natur (Haeckel 1904) on calcarean sponges (Phylum Porifera). (D) Plate 27 from Kunstformen der Natur (Haeckel 1904) on comb jellies (Phylum Ctenophora). At the end of the twentieth century, molecular phylogenetics dramatically rearranged the Tree of Life of the Metazoa, a true paradigm shift in our understanding of animal evolution (Fig. 2; Halanych et al. 1995; Aguinaldo et al. 1997; Halanych 2004). These early phylogenies did not alter the position of choanoflagellates and sponges, although the position of some branches remained unclear (Medina et al. 2001; Carr et al. 2008). At the turn of the century, with sequencing advances, alignments of just a few genes were replaced by genome-scale datasets (phylogenomics; Delsuc et al. 2005). Early phylogenomic analyses of animals and their allies were limited in taxa—lacking sponges—but still supported the close relationship between metazoans and choanoflagellates (Philippe et al. 2004, 2005a, 2005b). Fig. 2 View largeDownload slide Current understanding of the phylogeny of opisthokonts, animals, and their closest relatives. Based on different publications (Ruiz-Trillo et al. 2008; Shalchian-Tabrizi et al. 2008; Torruella et al. 2012, 2015; Paps et al. 2013; Budd and Jensen 2017; Hehenberger et al. 2017). Drawings from phylopic.org and the author. Fig. 2 View largeDownload slide Current understanding of the phylogeny of opisthokonts, animals, and their closest relatives. Based on different publications (Ruiz-Trillo et al. 2008; Shalchian-Tabrizi et al. 2008; Torruella et al. 2012, 2015; Paps et al. 2013; Budd and Jensen 2017; Hehenberger et al. 2017). Drawings from phylopic.org and the author. The enigmatic cousins of animals Molecular phylogenetics has reshaped our understanding of the evolutionary relationships of eukaryotes (Paps et al. 2010; Adl et al. 2012; Burki 2014). The position of choanoflagellates as sister-group to animals has remained unchallenged, but the discovery of new eukaryotic lineages or the repositioning of old ones has painted a completely new picture of eukaryote evolution (Ruiz-Trillo et al. 2008; Shalchian-Tabrizi et al. 2008; Torruella et al. 2012, 2015; Paps et al. 2013; Hehenberger et al. 2017). Animals belong to the eukaryotic superclade Opisthokonta (Fig. 2), eukaryotes with a posterior flagellum (lost in some groups) with a pair of centrioles, and mitochondria with flat cristae (Cavalier-Smith 1987). This group includes two major clades, the Holomycota (also named Nucletmyceta) that contains fungi and their allies, and the Holozoa (Fig. 2; Paps et al. 2010). Holozoans comprise animals and choanoflagellates, but also other eukaryotic lineages essential to understanding the origin of animals, the Teretosporea and the Filastera. Teretosporea (Torruella et al. 2015) are the sister group to the rest of holozoans. They were previously named the DRIP group (Herr et al. 1999), Mesomycetozoea (Mendoza et al. 2002), and Ichthyosporea (Cavalier-Smith 1998). The change in name from Ichthyosporea to Teretosporea was prompted by the placement of Corallochytrium limasciporum as sister-group to the ichthyosporeans (Torruella et al. 2015). Other analyses point to an intermediate position for C. limasciporum—sometimes with Syssomonas multiformis—between ichthyosporeans and the group formed by filastereans, choanoflagellates, and metazoans (Paps et al. 2013; Hehenberger et al. 2017). The placement of these taxa is essential to reconstruct the evolution of locomotion (flagellum and filopodia) and feeding strategies in the ancestors of animals. The Filasterea were defined using molecular data (Shalchian-Tabrizi et al. 2008), and originally comprised two species, Capsaspora owczarzaki (ATCC 30864) and Ministeria vibrans. However two new filasterean species have been discovered recently, Pigoraptor vietnamica and P. chileana (Hehenberger et al. 2017). Interestingly, all these non-animal holozoan lineages show some type of multicellularity (see below). Battle royale at the origin of animals: combs vs. sponges The branching order of the earliest animals has recently become controversial. Two pioneer phylogenomic studies initiated a phylogenetic discussion that is still raging 10 years later (Dunn et al. 2008; Hejnol et al. 2009). They independently proposed comb jellies (Phylum Ctenophora, Fig. 1D) as the first-splitting lineage of animals, taking that place from sponges. Later analyses have suggested that sponges are the sister-group to all animals, and attributed the earlier results as phylogenetic artifacts caused by both long branch attraction (LBA) and poor taxon sampling (Philippe et al. 2009; Pick et al. 2010). However, the subsequent sequencing of the complete genomes of two ctenophores as well as additional transcriptomic data supported again the placement of ctenophores as the earliest-diverging metazoans (Ryan et al. 2013; Moroz et al. 2014). Since then over a dozen studies have been published on this problem, clashing over methods, evolutionary models, LBA claims, and datasets. Some supporting sponges-first and others ctenophores-first (these are reviewed in Dunn et al. 2015; Jékely et al. 2015; King and Rokas 2017). Andreas Hejnol (Sars Centre, Bergen) humorously coined the terms #porisis and #ctenosis to refer to the publications supporting one hypothesis or the other (Hejnol 2016). This disagreement mirrors the controversy surrounding the position of Xenacoelomorpha relative to another major transition, the origin of bilaterian animals (the War of the Worms; Hejnol and Pang 2016; Ruiz-Trillo and Paps 2016; Telford and Copley 2016). The dispute on ctenophores-first versus sponges-first seems far from being settled; the two most recent articles still disagree on sponges (Feuda et al. 2017) or ctenophorans (Whelan et al. 2017) as sister-group to the rest of animals. Some authors have pointed that we should not be concerned about admitting our ignorance, and instead use this uncertainty to drive our research programs (King and Rokas 2017). The evolutionary placement of early-diverging animals and non-animal holozoans at the fringes of the transition is vital, and the first step to reconstruct what makes an animal. What makes an animal? The transition (or lack thereof) to multicellularity Multicellularity is not exclusive to animals, plants, and fungi; it has evolved at least 25 times independently in eukaryotes (Baldauf 2003; King 2004; Rokas 2008a). Remarkably, all the opisthokont lineages show traces of multicellularity (de Mendoza et al. 2015b; Sebé-Pedrós et al. 2017). In metazoans, multicellularity is the result of development, with a single cell dividing into various differentiated cells and tissues (permanent clonal multicellularity). Some choanoflagellates show temporary clonal colonies (Fairclough et al. 2010; Dayel et al. 2011), and evidence of sexual reproduction (Carr et al. 2010; Levin and King 2013; Woznica et al. 2017). Some filastereans display aggregative colonies, while teretosporeans develop “syncitial” (clonal) colonies (coenocytes, Sebé-Pedrós et al. 2013b, 2017; Suga and Ruiz-Trillo 2013). Thus, colonies formed by multiple cells were already present in opisthokonts before the origin of multicellular animals, although the taxonomic distribution is sparse and colonial stages in these taxa are always temporary. Animals excel at making different kinds of cells, significantly surpassing fungi and plants (Rokas 2008a). The number of cell types present in a taxon has often been used as a proxy for organismal complexity (Valentine et al. 1994), although defining and counting cell types is problematic (Trapnell 2015). The assignment of cell type homology across different animal groups is also difficult, but it is an indispensable next step in reconstructing their history and improving our inferences on ancestral cell types (Ryan et al. 2013; Mah et al. 2014; Jékely et al. 2015; Ryan and Chiodin 2015). The new field of single-cell transcriptomics has great potential to refine the definition of cell types and to improve the study of their evolution (Trapnell 2015; Marioni and Arendt 2017). Bearing these limitations in mind, it could be argued that the first animals possibly had a number of cell types similar to extant non-bilaterian animals. The last common ancestor (LCA) of Porifera probably had at least 10 cell types, with at least another 18 types emerging later in each of the different sponge classes after the diversification of the phylum (Simpson 1984). A total of six somatic cell types have been recently described in a placozoan (Smith et al. 2014). Ancestral metazoan cells were probably complex and multifunctional, and later subfunctionalization drove further cell diversification (Arendt 2008). Interestingly, similar numbers of cell forms are found across different life cycles of the relatives of animals: five in choanoflagellates (Dayel et al. 2011), and three in Filasterea (Sebé-Pedrós et al. 2013b,, 2016) as well as in Teretosporea (Marshall et al. 2008; de Mendoza et al. 2015a). All this suggests that the organisms predating the origin of the Animal Kingdom probably showed transient clonal colonies and a number of cell stages similar to the first animals (Dayel et al. 2011; Sebé-Pedrós et al. 2013b, 2016; de Mendoza et al. 2015a). Maybe the classical depiction of a transition from a simple unicellular eukaryote to a complex multicellular animal is not accurate, and the leap was not so immense. Timing and triggers of the transition The date of the origin of animals is critical to understand the paleoecological factors involved in that transition. The dating is hindered in part by the difficulty on placing fossil specimens in the Tree of Life. Complex multicellular fossils from the Cambrian are well accepted to be metazoans and, in most cases, bilaterian. But the nature of the older Ediacaran biota is considered ambiguous by some authors (Antcliffe 2012; Antcliffe et al. 2014). A conservative reading of the fossils suggests that animals emerged during the early Cambrian period, 541 Mya (Antcliffe et al. 2014; Cunningham et al. 2017), preceding the Cambrian explosion by a short time. Alternative interpretations associate Ediacaran fossils with metazoans (Budd and Jensen 2017; Dunn et al. 2017) pushing the origin of animals further back in time. A recent study assigned fossils from 665 Mya to the Animal Kingdom (Maloof et al. 2010), and analyses of sterane biomarkers and comparative genomics suggest the presence of animals 650 Mya (Gold et al. 2016). The early applications of molecular clocks proposed exceptionally old estimates for the origin of animals (Graur and Martin 2004), but the implementation of relaxed clocks and Bayesian approaches now yields younger dates, between 833 and 650 Mya (dos Reis et al. 2015; Cunningham et al. 2017). This uncertainty makes difficult to correlate geological events with the origin of animals. For example, the rise of oxygen atmospheric concentration during the late Proterozoic has been linked to the emergence of animals (Budd and Jensen 2000), although recent studies on the physiology and genomes of extant animals challenge that idea (Planavsky et al. 2014; Mills et al. 2018). In contrast, the quick increase of calcium and phosphate in the oceans has been associated with biomineralization and early animal diversification, but these events took place during the Cambrian (Smith and Harper 2013). Ecological pressures have also been connected to the evolution of multicellularity, for example as an escape from predation by other unicellular organisms (Stanley 1973); this is supported by studies of experimental evolution (Herron et al. 2018). Finally, in addition to ecological and environmental changes, internal genomic factors have also been invoked to explain the transition to metazoans. These include biological functions such as differential gene regulation—orchestrated by transcription factors (TF) and signaling pathways—to regulate differential gene expression in time and space (different cell types and tissues during development, but also in adults), cell adhesion (e.g., cadherins), cell type specification, control of cell cycle, and immunity (Rokas 2008b; Richter and King 2013; Brunet and King 2017; Sebé-Pedrós et al. 2017). The basis of those functions must be found in the genome. Genomic basis of the origin of the Animal Kingdom Something borrowed The arrival of NGS has made available genome data for all the key taxa involved in the transition to multicellular animals, that is, non-animal opisthokonts and early-diverging animals (Ruiz-Trillo et al. 2007; King et al. 2008; Srivastava et al. 2008, 2010; Ryan et al. 2013; Suga et al. 2013; Moroz et al. 2014; Grau-Bové et al. 2017; Sebé-Pedrós et al. 2017). Comparative genomics unexpectedly found many genes previously thought to be animal-specific in the other holozoans, indicating that the emergence of these genes predates the origin of animals (Sebé-Pedrós et al. 2011, 2017; Suga et al. 2013; de Mendoza et al. 2014a; Brunet and King 2017). This earlier view was caused by the loss of many of these genes in the choanoflagellates analyzed (but see Richter et al. 2017), this changed as other holozoan genomes were sequenced (Sebé-Pedrós et al. 2017). The list of genes, pathways, and systems analyzed using state-of-the-art comparative genomics is too long and complex to detail here (see recent and thorough reviews in Brunet and King  and Sebé-Pedrós et al. ). Some relevant examples are the discovery of signaling pathways with elements shared between animals and other holozoans, such as the receptor tyrosine kinases (Suga et al. 2014), the Hippo signaling pathway (Sebé-Pedrós et al. 2012), or some parts of G-protein coupled receptors (de Mendoza et al. 2014b). In many cases, the downstream intracellular elements of these pathways are present in holozoans, but the metazoan receptors and ligands evolved only in animals (Sebé-Pedrós et al. 2017; Paps and Holland 2018). Other signaling pathways are absent in non-animal holozoans, though; this is the case for Wnt, transforming growth factor-β (TGF-β), hedgehog, and JAK–STAT (Degnan et al. 2008; King et al. 2008; Suga et al. 2013). Similarly, some TFs were unexpectedly found in holozoans (nuclear factor-κB, p53, RUNX, and T-box) while others were established as animal-specific (ETS, SMAD, nuclear receptor, Doublesex, and interferon-regulatory factor; Sebé-Pedrós et al. 2011,, 2013a; Sebé-Pedrós and de Mendoza 2015). Finally, some parts of the cell adhesion systems also predate animals, with circa 30 proteins predicted to contain cadherin domains found in choanoflagellates (Nichols et al. 2012), integrin components in filastereans (Sebé-Pedrós et al. 2010), and choanoflagellates (Richter et al. 2017), as well as laminins, collagens, and fibronectin in other holozoans (Suga et al. 2013). Interestingly, the study of this transition is now expanding toward the non-coding elements of the genome (de Mendoza et al. 2015b; Fernandez-Valverde and Degnan 2016; Sebé-Pedrós et al. 2016; Gaiti et al. 2017). A picture of extensive genome recycling during the origin of metazoans has emerged from all these analyses. Most likely animals co-opted the machinery that is used by other holozoans to regulate gene expression at a temporary level (cells at different life stages), and repurposed it to add a spatial component (regulate differential gene expression in simultaneous cell types; Sebé-Pedrós et al. 2017). These results emphasize the role of genome tinkering in evolution. Only recently has the part that novelty played in the origin of animals started to be revisited (Grau-Bové et al. 2017; Richter et al. 2017). Something old A recent article has focused on genomic novelty in the origin of the Animal Kingdom (Paps and Holland 2018). These analyses use a new bioinformatics pipeline that has been also used successfully to analyze the origin of placental mammals (Dunwell et al. 2017). The study compared 62 genomes (approximately 1.5 million proteins) belonging to 13 animal phyla and 8 eukaryotic outgroups, with particular consideration to taxon sampling, representative selection of outgroups, and the assignment of gene homology. For the latter, reciprocal sequence comparisons with BLAST (Altschul et al. 1990) combined with Markov clustering (Enright et al. 2002) were used, in contrast with other approaches that use a limited taxon sampling and one-way BLAST (Domazet-Lošo et al. 2007; Moyers and Zhang 2015). This approach defines gene homology groups (HGs), which in some cases contain well-known gene families (e.g., Irx), in others gene classes (e.g., POU class of homeobox genes), or superfamilies (e.g., Wnt ligands). The evolutionary emergence of a HG is determined based on the HG occupancy in all members of a phylogenetic group instead of using a single species as an anchor. A novel bioinformatic tool was developed to that end (Phylogenetic Aware Parsing Script; https://github.com/PapsLab/Phylogenetic_Aware_Parsing_Script). This pipeline was used to reconstruct all the HG present in the genome of the LCA of animals (Ancestral HG), as well as in the genome of other holozoan ancestors. The reconstructions assessed different evolutionary trees (e.g., sponges-first vs. ctenophores-first) to accommodate phylogenetic uncertainties. The Ancestral HG set consists of 6331 HG, whose predominant functions are related to gene regulation (e.g., nucleic acid binding proteins, TF), metabolism (e.g., hydrolases, transferases, etc.), and signaling pathways (e.g., Wnt, TGF-beta, cadherin, integrin, etc.). Remarkably, a similar distribution of biological functions is also predicted in the older LCA as well as in modern metazoan genomes (human and fruit fly). Something new Novel HGs are the subset of Ancestral HG that are present in the ingroup but absent in the outgroup. Therefore, they are new HG that emerges in the LCA of a group. Novel genes are most likely product of gene duplication events followed by quick evolutionary divergence (Holland et al. 2017). The number of Novel HG for each LCA shows a four-fold increase in the LCA of animals compared with older nodes. There are 1189 Novel HG in animals, 19% of the total HG in the first metazoan, compared with only 8–10% Novel HGs found in the older nodes inspected. These animal Novel HGs present a higher percentage of regulatory functions compared with the animal Ancestral HG set (e.g., 23% vs. 6% TFs, 11% vs. 4% signaling), and has fewer enzymes. Moreover, the number of genes performing some biological functions—nucleic acid binding, TF, and signaling molecules—shows a peak in the LCA of animals in contrast with older nodes. Thus, not only did many new genes emerge in the first animal genome, but they were also associated with functions essential to multicellularity. Another interesting set is the Novel Core HGs. These are novel HG that are highly retained, that is, present in almost all of the members of the ingroup. It is assumed that new HG with essential functions will be refractory to gene loss during the evolution of metazoans. A total of 25 Novel Core HG are found in the LCA of animals (Table 1), a five-fold increase compared with other holozoan Novel Core HG. This implies that not only was novelty common in the first animal genome, but the level of retention of these novel genes was also higher than in other ancestors. The functions of these genes are crucial to multicellularity. Seven Corel New HG comprise TF, eight HG include signaling pathways, and the rest show functions related to cell adhesion, cell cycle, receptors, exocytosis, and regulation of protein translation. Remarkably, they include many of the animal receptors and ligands missing in non-animal holozoans. Many of these genes were previously thought to be associated with the emergence of animals, but additional new genes are here, for the first time, linked to the transition. The Lost HG are also analyzed; their values are similar across the different ancestors, including metazoans. It is difficult to identify the biological function of Lost HG, as these are missing in model organisms. Most Lost HG in animals code for enzymes, and the list is lacking in developmentally relevant genes. Table 1 Novel core genes in the Animal Kingdom Transcription factors Homeobox NKL subclass SIX class POU class bHLH Hes/hairy bHLH-PAS Twist/hand ETS Signaling pathways Wnt Wnt Frizzled Pangolín/TCF-LEF Armadillo/beta-catenin TGF-beta TGF-beta/BMP SMAD TFG-beta receptor JNK pathway interaction Transcripts polyadenilation Cytoplasmic polyadenylation element binding protein (CPEB) Cell adhesion Fermitin Liprin Alpha-catenin Cell cycle RUN (after RaP2 interacting protein 8, UNC-14, and NESCA) MAP kinase-activating death domain (MADD/GEF) Receptors Nuclear hormone receptors Neurotransmitter receptors Synaptic exocytosis Calcium activated protein for secretion (CADPS) Rab3-interacting molecules (RIM) Transcription factors Homeobox NKL subclass SIX class POU class bHLH Hes/hairy bHLH-PAS Twist/hand ETS Signaling pathways Wnt Wnt Frizzled Pangolín/TCF-LEF Armadillo/beta-catenin TGF-beta TGF-beta/BMP SMAD TFG-beta receptor JNK pathway interaction Transcripts polyadenilation Cytoplasmic polyadenylation element binding protein (CPEB) Cell adhesion Fermitin Liprin Alpha-catenin Cell cycle RUN (after RaP2 interacting protein 8, UNC-14, and NESCA) MAP kinase-activating death domain (MADD/GEF) Receptors Nuclear hormone receptors Neurotransmitter receptors Synaptic exocytosis Calcium activated protein for secretion (CADPS) Rab3-interacting molecules (RIM) List of the 25 novel HGs that are highly retained in the genomes of the Animal Kingdom. Adapted from Paps and Holland (2018). Table 1 Novel core genes in the Animal Kingdom Transcription factors Homeobox NKL subclass SIX class POU class bHLH Hes/hairy bHLH-PAS Twist/hand ETS Signaling pathways Wnt Wnt Frizzled Pangolín/TCF-LEF Armadillo/beta-catenin TGF-beta TGF-beta/BMP SMAD TFG-beta receptor JNK pathway interaction Transcripts polyadenilation Cytoplasmic polyadenylation element binding protein (CPEB) Cell adhesion Fermitin Liprin Alpha-catenin Cell cycle RUN (after RaP2 interacting protein 8, UNC-14, and NESCA) MAP kinase-activating death domain (MADD/GEF) Receptors Nuclear hormone receptors Neurotransmitter receptors Synaptic exocytosis Calcium activated protein for secretion (CADPS) Rab3-interacting molecules (RIM) Transcription factors Homeobox NKL subclass SIX class POU class bHLH Hes/hairy bHLH-PAS Twist/hand ETS Signaling pathways Wnt Wnt Frizzled Pangolín/TCF-LEF Armadillo/beta-catenin TGF-beta TGF-beta/BMP SMAD TFG-beta receptor JNK pathway interaction Transcripts polyadenilation Cytoplasmic polyadenylation element binding protein (CPEB) Cell adhesion Fermitin Liprin Alpha-catenin Cell cycle RUN (after RaP2 interacting protein 8, UNC-14, and NESCA) MAP kinase-activating death domain (MADD/GEF) Receptors Nuclear hormone receptors Neurotransmitter receptors Synaptic exocytosis Calcium activated protein for secretion (CADPS) Rab3-interacting molecules (RIM) List of the 25 novel HGs that are highly retained in the genomes of the Animal Kingdom. Adapted from Paps and Holland (2018). Tempo and mode of genomic evolution Paps and Holland (2018) unveil the inferred genome of the first animal, and show that overall it is similar to the genomes of other holozoan ancestors and modern animals. However, compared with other holozoans it has a higher proportion of novel genes and higher percentage of these is retained. Different scenarios can explain these observations, based on the length of the branch leading to the metazoan LCA—how long it took for the LCA of all animals to evolve—and/or the relative rate of gene birth and death (Fig. 3). The first scenario presupposes a constant rate of gene birth over time, with a branch leading to the first metazoan longer than others (Fig. 3A). During this “stew” time, the molecular components of animal biology were “cooking” in the genome of the animal ancestor. However, phylogenetic analyses of opisthokonts do not show longer branches leading to animals (e.g., Torruella et al. 2015), as expected under this scenario. The second scenario assumes similar branch lengths across all nodes, but with novel genes quickly popping up during a short “popcorn” phase. This popcorn effect could be caused by either lower rates of gene death and/or higher rates of gene birth (Fig. 3B, C). Lower rates of gene death would increase the number of novel genes being fixed; the rapid recruitment of new genes into key gene regulatory networks could make them refractory to gene loss (Fig. 3B). However, our analyses show similar levels of Lost HG across all nodes, including the animal one. The genomic popcorn could be also produced by higher gene birth rate, speculatively caused by multiple segmental duplications, whole genome duplications, environmental factors increasing mutation rates, etc. (Fig. 3C). Fig. 3 View largeDownload slide Tempo and mode of genome evolution at the origin of the Animal Kingdom. (A) Stew model, with animals taking longer time to emerge. (B) Popcorn model with lower gene death in the transition to multicellular animals. (C) Popcorn model with higher gene birth in the dawn of metazoans. Fig. 3 View largeDownload slide Tempo and mode of genome evolution at the origin of the Animal Kingdom. (A) Stew model, with animals taking longer time to emerge. (B) Popcorn model with lower gene death in the transition to multicellular animals. (C) Popcorn model with higher gene birth in the dawn of metazoans. These scenarios are compatible with previous paleontological models of early animal evolution (Antcliffe 2012), which rest on the nature of Ediacaran fossils. The stew hypothesis is consistent with the “slow-burning fuse” model, in which Ediacarans are assumed to be metazoans and they emerged ∼1000 Mya, although they didn’t diversify until the Cambrian (Antcliffe 2012). This would be supported by some molecular clocks (Erwin et al. 2011; dos Reis et al. 2015), and the missing genomes of Ediacaran fauna would break the long branch leading to the ancestor of the metazoan crown-group (Fig. 3A). In contrast, the popcorn scenario is compatible with the “evolutionary Big Bang” model (animals originated during early Cambrian and diversified quickly after) and the “shallow fuse” model (animals emerged in late Ediacaran, then radiated in the Cambrian; Antcliffe 2012). However, a better understanding of the rates of gene birth/death and the phylogenetic placement of the Ediacaran fossils is needed to discriminate between these scenarios and models. Conclusions Our view on animal evolution has changed dramatically in the last 25 years. New phylogenies based on molecular data have restructured the Tree of Life and our understanding of organismal evolution. The wealth of genomic data from NGS is democratizing the study of organisms, offering a window to the hidden biology of the taxa closest to the dawn of metazoans. There has never been a more stimulating time to study the origin of the Animal Kingdom, and future data and techniques can only refine the current picture further. During the transition to animal multicellularity, old holozoan functions were recycled but also new ones emerged. Further work is needed to elucidate the pace of that change, and to reveal whether these patterns are specific to the metazoans, or if similar convergent patterns can be seen in plants, fungi, and other multicellular lineages. Acknowledgments Portions of this article were given in a presentation at the 2018 Society of Integrative and Comparative Biology meeting in San Francisco. I would like to thank Kevin Kocot and Eric Sperling for inviting me to their symposium. I offer my heartfelt thanks to Peter W. H. Holland for all the moral and intellectual support given during this project, as well as for his comments in this manuscript. I would also like to thank Iñaki Ruiz-Trillo, for his unwavering support and getting me in the path that led me here, as well as his feedback on this manuscript. I am grateful to Nacho Maeso, Ferdinand Marlétaz, Guifré Torruella, Alex de Mendoza, and Arnau Sebé-Pedrós for all the enlightening discussions on the different topics presented in this manuscript. I would also like to thank the reviewers, Sally Leys and an anonymous referee, who provided excellent positive criticisms and suggestions that greatly improved the manuscript. Funding J.P. is funded by the School of Biological Sciences (University of Essex, UK), the original work was supported by a grant awarded to Prof. Peter W. H. Holland under the European Union's Seventh Framework Programme (FP7/2007-2013)/ERC grant . References Adl SM , Simpson AGB , Lane CE , Lukeš J , Bass D , Bowser SS , Brown MW , Burki F , Dunthorn M , Hampl V , et al. . 2012 . The revised classification of eukaryotes . J Eukaryot Microbiol 59 : 429 – 93 . Google Scholar Crossref Search ADS PubMed Aguinaldo AM , Turbeville JM , Linford LS , Rivera MC , Garey JR , Raff RA , Lake JA. 1997 . Evidence for a clade of nematodes, arthropods and other moulting animals . Nature 387 : 489 – 93 . Google Scholar Crossref Search ADS PubMed Altschul SF , Gish W , Miller W , Myers EW , Lipman DJ. 1990 . Basic Local Alignment Search Tool.pdf . J Mol Biol 215 : 403 – 10 . Google Scholar Crossref Search ADS PubMed Antcliffe JB. 2012 . Patterns in palaeontology: the Cambrian Explosion—paradoxes and possible worlds . Palaeontology 2 : 12 . Antcliffe JB , Callow RHT , Brasier MD. 2014 . Giving the early fossil record of sponges a squeeze . Biol Rev 89 : 972 – 1004 . Google Scholar Crossref Search ADS PubMed Arendt D. 2008 . The evolution of cell types in animals: emerging principles from molecular studies . Nat Rev Genet 9 : 868 – 82 . Google Scholar Crossref Search ADS PubMed Aristotle , Schneider JG , Cresswell R. 1862 . Aristotle’s history of animals. In: Bohn HG, editor. Ten books (Historia animalium) . London: George Bell & Sons. Baldauf SL. 2003 . The deep roots of eukaryotes . Science 300 : 1703 – 6 . Google Scholar Crossref Search ADS PubMed Blackwell M. 2011 . The fungi: 1, 2, 3 … 5.1 million species? . Am J Bot 98 : 426 – 38 . Google Scholar Crossref Search ADS PubMed Bonnet X , Shine R , Lourdais O. 2002 . Taxonomic chauvinism . Trends Ecol Evol 17 : 1 – 3 . Google Scholar Crossref Search ADS Brunet T , King N. 2017 . The origin of animal multicellularity and cell differentiation . Dev Cell 43 : 124 – 40 . Google Scholar Crossref Search ADS PubMed Budd GE , Jensen S. 2000 . A critical reappraisal of the fossil record of the bilaterian phyla . Biol Rev 75 : 253 – 95 . Google Scholar Crossref Search ADS PubMed Budd GE , Jensen S. 2017 . The origin of the animals and a “Savannah” hypothesis for early bilaterian evolution . Biol Rev 92 : 446 – 73 . Google Scholar Crossref Search ADS PubMed Burki F. 2014 . The eukaryotic tree of life from a global phylogenomic perspective . Cold Spring Harb Perspect Biol 6 : a016147. Google Scholar Crossref Search ADS PubMed Carr M , Leadbeater BS , Hassan R , Nelson M , Baldauf SL. 2008 . Molecular phylogeny of choanoflagellates, the sister group to Metazoa . Proc Natl Acad Sci U S A 105 : 16641 – 6 . Google Scholar Crossref Search ADS PubMed Carr M , Leadbeater BSC , Baldauf SL. 2010 . Conserved meiotic genes point to sex in the choanoflagellates . J Eukaryot Microbiol 57 : 56 – 62 . Google Scholar Crossref Search ADS PubMed Cavalier-Smith T. 1987 . The origin of fungi and pseudofungi. In: Rayner ADM , Brasier CM , Moore D , editors. Evolutionary biology of the fungi cambridge . UK : Cambridge University Press . p. 339 – 53 . Cavalier-Smith T. 1998 . A revised six-kingdom system of life . Biol Rev 73 : 203. Google Scholar Crossref Search ADS PubMed Cunningham JA , Liu AG , Bengtson S , Donoghue PCJ. 2017 . The origin of animals: can molecular clocks and the fossil record be reconciled? . BioEssays 39 : 1. Google Scholar Crossref Search ADS PubMed Dayel MJ , Alegado RA , Fairclough SR , Levin TC , Nichols SA , McDonald K , King N. 2011 . Cell differentiation and morphogenesis in the colony-forming choanoflagellate Salpingoeca rosetta . Dev Biol 357 : 73 – 82 . Google Scholar Crossref Search ADS PubMed de Mendoza A , Sebé-Pedrós A , Ruiz-Trillo I. 2014 . The evolution of the GPCR signaling system in eukaryotes: modularity, conservation, and the transition to metazoan multicellularity . Genome Biol Evol 6 : 606 – 19 . Google Scholar Crossref Search ADS PubMed de Mendoza A , Suga H , Permanyer J , Irimia M , Ruiz-Trillo I. 2015 . Complex transcriptional regulation and independent evolution of fungal-like traits in a relative of animals . Elife 4 : e08904 . Google Scholar Crossref Search ADS PubMed de Mendoza A , Suga H , Permanyer J , Irimia M , Ruiz-Trillo I. 2015a . Complex transcriptional regulation and independent evolution of fungal-like traits in a relative of animals . Elife 4 : e08904 . Google Scholar Crossref Search ADS Degnan BM , Adamska M , Craigie A , Degnan SM , Fahey B , Gauthier M , Hooper JNA , Larroux C , Leys SP , Lovas E , et al. . 2008 . The demosponge Amphimedon queenslandica: reconstructing the ancestral metazoan genome and deciphering the origin of animal multicellularity . Cold Spring Harb Protoc 2008 : pdb.emo108 . Google Scholar Crossref Search ADS Delsuc F , Brinkmann H , Philippe H. 2005 . Phylogenomics and the reconstruction of the tree of life . Nat Rev Genet 6 : 361 – 75 . Google Scholar Crossref Search ADS PubMed Domazet-Lošo T , Brajković J , Tautz D. 2007 . A phylostratigraphy approach to uncover the genomic history of major adaptations in metazoan lineages . Trends Genet 23 : 533 – 9 . Google Scholar Crossref Search ADS PubMed dos Reis M , Thawornwattana Y , Angelis K , Telford MJ , Donoghue PCJ , Yang Z. 2015 . Uncertainty in the timing of origin of animals and the limits of precision in molecular timescales . Curr Biol 25 : 2939 – 50 . Google Scholar Crossref Search ADS PubMed Dujardin F. 1841 . Histoire naturelle des zoophytes. Infusoires, comprenant la physiologie et la classification de ces animaux, et la manière de les étudier à l’aide du microscope, Paris. Dunn CW , Hejnol A , Matus DQ , Pang K , Browne WE , Smith SA , Seaver E , Rouse GW , Obst M , Edgecombe GD , et al. . 2008 . Broad phylogenomic sampling improves resolution of the animal tree of life . Nature 452 : 745 – 9 . Google Scholar Crossref Search ADS PubMed Dunn CW , Leys SP , Haddock SHD. 2015 . The hidden biology of sponges and ctenophores . Trends Ecol Evol 30 : 282 – 91 . Google Scholar Crossref Search ADS PubMed Dunn FS , Liu AG , Donoghue PCJ. 2017 . Ediacaran developmental biology . Biol Rev 93 : 914 – 32 . Google Scholar Crossref Search ADS PubMed Dunwell TL , Paps J , Holland PWH. 2017 . Novel and divergent genes in the evolution of placental mammals . Proc R Soc B Biol Sci 284 : 20171357. Google Scholar Crossref Search ADS Enright AJ , Van Dongen S , Ouzounis CA. 2002 . An efficient algorithm for large-scale detection of protein families . Nucleic Acids Res 30 : 1575 – 84 . Google Scholar Crossref Search ADS PubMed Erwin DH , Laflamme M , Tweedt SM , Sperling EA , Pisani D , Peterson KJ. 2011 . The Cambrian conundrum: early divergence and later ecological success in the early history of animals . Science 334 : 1091 – 7 . Google Scholar Crossref Search ADS PubMed Fairclough SR , Dayel MJ , King N. 2010 . Multicellular development in a choanoflagellate . Curr Biol 20 : R875 – 6 . Google Scholar Crossref Search ADS PubMed Fernandez-Valverde SL , Degnan BM. 2016 . Bilaterian-like promoters in the highly compact Amphimedon queenslandica genome . Sci Rep 6 : 22496. Google Scholar Crossref Search ADS PubMed Feuda R , Dohrmann M , Pett W , Philippe H , Rota-Stabelli O , Lartillot N , Wörheide G , Pisani D. 2017 . Improved modeling of compositional heterogeneity supports sponges as sister to all other animals . Curr Biol 27 : 3864 – 70.e4 . Google Scholar Crossref Search ADS PubMed Gaiti F , Calcino AD , Tanurdžić M , Degnan BM. 2017 . Origin and evolution of the metazoan non-coding regulatory genome . Dev Biol 427 : 193 – 202 . Google Scholar Crossref Search ADS PubMed Gold DA , Grabenstatter J , de Mendoza A , Riesgo A , Ruiz-Trillo I , Summons RE. 2016 . Sterol and genomic analyses validate the sponge biomarker hypothesis . Proc Natl Acad Sci U S A 113 : 2684 – 9 . Google Scholar Crossref Search ADS PubMed Grau-Bové X , Torruella G , Donachie S , Suga H , Leonard G , Richards TA , Ruiz-Trillo I. 2017 . Dynamics of genomic innovation in the unicellular ancestry of animals . Elife 6 . Graur D , Martin W. 2004 . Reading the entrails of chickens: molecular timescales of evolution and the illusion of precision . Trends Genet 20 : 80 – 6 . Google Scholar Crossref Search ADS PubMed Haeckel E. 1866 . Generelle morphologie der organismen. Allgemeine Grundzüge der organischen Formen-Wissenschaft, mecanisch begründet durch die von Charles Darwin reformirte Descendenz-Theorie. 2 vols. Berlin : Verlag von Georg Reimer . Haeckel E. 1872 . Die Kalkschwämme. Eine monographie, Berlin. Haeckel E. 1874a . Anthropogenie oder Entwicklungsgeschichte des Menschen. Gemeinverständliche wissenschaftliche Vorträge über die Grundzüge der menschlichen Keimes-und Stammesgeschichte. Leipzig, Germany. Haeckel E. 1874b . The gastraea theory, the phylogenetic classification of the Animal Kingdom and the homology of the germ-lamellae . Q J Microsc Sci 14 : 142 – 465 . Haeckel E. 1904 . Kunstformen der Natur (Artforms of nature). Halanych KM. 2004 . The new view of animal phylogeny . Annu Rev Ecol Evol Syst 35 : 229 – 56 . Google Scholar Crossref Search ADS Halanych KM , Bacheller JD , Aguinaldo AM , Liva SM , Hillis DM , Lake JA. 1995 . Evidence from 18S ribosomal DNA that the lophophorates are protostome animals . Science 267 : 1641 – 3 . Google Scholar Crossref Search ADS PubMed Hehenberger E , Tikhonenkov DV , Kolisko M , Del Campo J , Esaulov AS , Mylnikov AP , Keeling PJ. 2017 . Novel predators reshape holozoan phylogeny and reveal the presence of a two-component signaling system in the ancestor of animals . Curr Biol 27 : 2043 – 50.e6 . Google Scholar Crossref Search ADS PubMed Hejnol A (@Hejnol_Lab). 2016 . No “undetected systematic bias” in Chang et al. detected so far (for ctenosis).Tweet (https://twitter.com/Hejnol_Lab/status/697740643209232384). Hejnol A , Obst M , Stamatakis A , Ott M , Rouse GW , Edgecombe GD , Martinez P , Baguñà J , Bailly X , Jondelius U , et al. . 2009 . Assessing the root of bilaterian animals with scalable phylogenomic methods . Proc R Soc B Biol Sci 276 : 4261 – 70 . Google Scholar Crossref Search ADS Hejnol A , Pang K. 2016 . Xenacoelomorpha’s significance for understanding bilaterian evolution . Curr Opin Genet Dev 39 : 48 – 54 . Google Scholar Crossref Search ADS PubMed Herr RA , Ajello L , Taylor JW , Arseculeratne SN , Mendoza L. 1999 . Phylogenetic analysis of Rhinosporidium seeberi’s 18S small-subunit ribosomal DNA groups this pathogen among members of the protoctistan Mesomycetozoa clade . J Clin Microbiol 37 : 2750 – 4 . Google Scholar PubMed Herron MD , Borin JM , Boswell JC , Walker J , Knox CA , Boyd M , Rosenzweig F , Ratcliff WC. 2018 . De novo origin of multicellularity in response to predation . Cold Spring Harb Lab Holland PWH , Marlétaz F , Maeso I , Dunwell TL , Paps J. 2017 . New genes from old: asymmetric divergence of gene duplicates and the evolution of development . Philos Trans R Soc B Biol Sci (doi:https://doi.org/10.1101/247361). Hyman LH. 1940 . The invertebrates: Protozoa through Ctenophora . Vol. 1 . New York : McGraw-Hill. James-Clark H. 1871 . Note on the infusoria flagellata and the spongiae ciliatae . Am J Sci 1 : 113 – 4 . Google Scholar Crossref Search ADS Jékely G , Paps J , Nielsen C. 2015 . The phylogenetic position of ctenophores and the origin(s) of nervous systems . Evodevo 6 : 1. Google Scholar Crossref Search ADS PubMed Kent WS. 1880 . A manual of the infusoria: including a description of all known flagellate, ciliate, and tentaculiferous protozoa, British and foreign and an account of the organization and affinities of the sponges. London: David Bogue. King N. 2004 . The unicellular ancestry of animal development . Dev Cell 7 : 313 – 25 . Google Scholar Crossref Search ADS PubMed King N , Rokas A. 2017 . Embracing uncertainty in reconstructing early animal evolution . Curr Biol 27 : R1081 – 8 . Google Scholar Crossref Search ADS PubMed King N , Westbrook MJ , Young SL , Kuo A , Abedin M , Chapman J , Fairclough S , Hellsten U , Isogai Y , Letunic I , et al. . 2008 . The genome of the choanoflagellate Monosiga brevicollis and the origin of metazoans . Nature 451 : 783 – 8 . Google Scholar Crossref Search ADS PubMed Larsen BB , Miller EC , Rhodes MK , Wiens JJ. 2017 . Inordinate fondness multiplied and redistributed: the number of species on Earth and the new pie of life . Q Rev Biol 92 : 229 – 65 . Google Scholar Crossref Search ADS Levin TC , King N. 2013 . Evidence for sex and recombination in the choanoflagellate Salpingoeca rosetta . Curr Biol 23 : 2176 – 80 . Google Scholar Crossref Search ADS PubMed Linnaeus C. 1758 . Systema naturae per regna tria naturae: secundum classes, ordines, genera, species, cum characteribus, differentiis, synonymis, locis . 10th ed. Stockholm : Laurentius Salvius . Mah JL , Christensen-Dalsgaard KK , Leys SP. 2014 . Choanoflagellate and choanocyte collar-flagellar systems and the assumption of homology . Evol Dev 16 : 25 – 37 . Google Scholar Crossref Search ADS PubMed Maloof AC , Rose CV , Beach R , Samuels BM , Calmet CC , Erwin DH , Poirier GR , Yao N , Simons FJ. 2010 . Possible animal-body fossils in pre-Marinoan limestones from South Australia . Nat Geosci 3 : 653 – 9 . Google Scholar Crossref Search ADS Marioni JC , Arendt D. 2017 . How single-cell genomics is changing evolutionary and developmental biology . Annu Rev Cell Dev Biol 33 : 537 – 53 . Google Scholar Crossref Search ADS PubMed Marshall WL , Celio G , McLaughlin DJ , Berbee ML. 2008 . Multiple isolations of a culturable, motile Ichthyosporean (Mesomycetozoa, Opisthokonta), Creolimax fragrantissima n. gen., n. sp., from marine invertebrate digestive tracts . Protist 159 : 415 – 33 . Google Scholar Crossref Search ADS PubMed Medina M , Collins AG , Silberman JD , Sogin ML. 2001 . Evaluating hypotheses of basal animal phylogeny using complete sequences of large and small subunit rRNA . Proc Natl Acad Sci U S A 98 : 9707 – 12 . Google Scholar Crossref Search ADS PubMed Mendoza L , Taylor JW , Ajello L. 2002 . The class Mesomycetozoea: a heterogeneous group of microorganisms at the animal–fungal boundary . Annu Rev Microbiol 56 : 315 – 44 . Google Scholar Crossref Search ADS PubMed Metchnikoff E. 1886 . Embryologische studien an Medusen: Ein Beitrag zur Genealogie der Primitiv-organe. London. Mills DB , Francis WR , Vargas S , Larsen M , Elemans CP , Canfield DE , Wörheide G. 2018 . The last common ancestor of animals lacked the HIF pathway and respired in low-oxygen environments . Elife 7 : e31176. Google Scholar Crossref Search ADS PubMed Mora C , Tittensor DP , Adl S , Simpson AGB , Worm B. 2011 . How many species are there on earth and in the ocean? PLoS Biol 9 : e1001127. Google Scholar Crossref Search ADS PubMed Moroz LL , Kocot KM , Citarella MR , Dosung S , Norekian TP , Povolotskaya IS , Grigorenko AP , Dailey C , Berezikov E , Buckley KM , et al. . 2014 . The ctenophore genome and the evolutionary origins of neural systems . Nature 510 : 109 – 23 . Google Scholar Crossref Search ADS PubMed Moyers BA , Zhang J. 2015 . Phylostratigraphic bias creates spurious patterns of genome evolution . Mol Biol Evol 32 : 258 – 67 . Google Scholar Crossref Search ADS PubMed Nichols SA , Roberts BW , Richter DJ , Fairclough SR , King N. 2012 . Origin of metazoan cadherin diversity and the antiquity of the classical cadherin/-catenin complex . Proc Natl Acad Sci U S A 109 : 13046 – 51 . Google Scholar Crossref Search ADS PubMed Paps J , Holland PWHH. 2018 . Reconstruction of the ancestral metazoan genome reveals an increase in genomic novelty . Nat Commun 9 : 1730. Google Scholar Crossref Search ADS PubMed Paps J , Medina-Chacón LA , Marshall W , Suga H , Ruiz-Trillo I. 2013 . Molecular phylogeny of unikonts: new insights into the position of apusomonads and ancyromonads and the internal relationships of opisthokonts . Protist 164 : 2. Google Scholar Crossref Search ADS PubMed Paps J , Ruiz-Trillo I . 2010 . Animals and their unicellular ancestors. Encyclopedia of life sciences. Chichester (UK): John Wiley & Sons, Ltd. p. 1–8. Philippe H , Delsuc F , Brinkmann H , Lartillot N. 2005a . Phylogenomics . Annu Rev Ecol Evol Syst 36 : 541 – 62 . Google Scholar Crossref Search ADS Philippe H , Snell EA , Bapteste E , Lopez P , Holland PWH , Casane D. 2004 . Phylogenomics of eukaryotes: impact of missing data on large alignments . Mol Biol Evol 21 : 1740 – 52 . Google Scholar Crossref Search ADS PubMed Philippe HH , Derelle R , Lopez P , Pick K , Borchiellini C , Boury-Esnault N , Vacelet J , Renard E , Houliston E , Quéinnec E , et al. . 2009 . Phylogenomics revives traditional views on deep animal relationships . Curr Biol 19 : 706 – 12 . Google Scholar Crossref Search ADS PubMed Philippe HH , Lartillot N , Brinkmann H. 2005b . Multigene analyses of bilaterian animals corroborate the monophyly of Ecdysozoa, Lophotrochozoa, and Protostomia . Mol Biol Evol 22 : 1246 – 53 . Google Scholar Crossref Search ADS Pick KS , Philippe H , Schreiber F , Erpenbeck D , Jackson DJ , Wrede P , Wiens M , Alié A , Morgenstern B , Manuel M , et al. . 2010 . Improved phylogenomic taxon sampling noticeably affects non-bilaterian relationships . Mol Biol Evol 27 : 1983 – 7 . Google Scholar Crossref Search ADS PubMed Planavsky NJ , Reinhard CT , Wang X , Thomson D , McGoldrick P , Rainbird RH , Johnson T , Fischer WW , Lyons TW. 2014 . Low Mid-Proterozoic atmospheric oxygen levels and the delayed rise of animals . Science 346 : 635 – 8 . Google Scholar Crossref Search ADS PubMed Richter D , Fozouni P , Eisen M , King N. 2017 . The ancestral animal genetic toolkit revealed by diverse choanoflagellate transcriptomes. Cold Spring Harb Lab published online (https://doi.org/10.1101/211789). Richter DJ , King N. 2013 . The genomic and cellular foundations of animal origins . Annu Rev Genet 47 : 509 – 37 . Google Scholar Crossref Search ADS PubMed Rokas A. 2008 . The origins of multicellularity and the early history of the genetic toolkit for animal development . Annu Rev Genet 42 : 235 – 51 . Google Scholar Crossref Search ADS PubMed Rokas A. 2008 . The molecular origins of multicellular transitions . Curr Opin Genet Dev 18 : 472 – 8 . Google Scholar Crossref Search ADS PubMed Ruiz-Trillo I , Burger G , Holland PWH , King N , Lang BF , Roger AJ , Gray MW. 2007 . The origins of multicellularity: a multi-taxon genome initiative . Trends Genet 23 : 113 – 8 . Google Scholar Crossref Search ADS PubMed Ruiz-Trillo I , Paps J. 2016 . Acoelomorpha: earliest branching bilaterians or deuterostomes? . Org Divers Evol 16 : 391 – 9 . Google Scholar Crossref Search ADS Ruiz-Trillo I , Roger AJ , Burger G , Gray MW , Lang BF. 2008 . A phylogenomic investigation into the origin of Metazoa . Mol Biol Evol 25 : 664 – 72 . Google Scholar Crossref Search ADS PubMed Ryan JF , Chiodin M. 2015 . Where is my mind? How sponges and placozoans may have lost neural cell types . Philos Trans R Soc B Biol Sci 370 : 20150059. Google Scholar Crossref Search ADS Ryan JF , Pang K , Schnitzler CE , Nguyen A-D , Moreland RT , Simmons DK , Koch BJ , Francis WR , Havlak P , Smith SA , et al. . 2013 . The genome of the ctenophore Mnemiopsis leidyi and its implications for cell type evolution . Science 342 : 1242592. Google Scholar Crossref Search ADS PubMed Sebé-Pedrós A , Ariza-Cosano A , Weirauch MT , Leininger S , Yang A , Torruella G , Adamski M , Adamska M , Hughes TR , Gómez-Skarmeta JL , et al. . 2013a . Early evolution of the T-box transcription factor family . Proc Natl Acad Sci U S A 110 : 16050 – 55 . Google Scholar Crossref Search ADS Sebé-Pedrós A , Ballaré C , Parra-Acero H , Chiva C , Tena JJJ , Sabidó E , Gómez-Skarmeta JLL , Di Croce L , Ruiz-Trillo I , Di Croce L , et al. . 2016 . The dynamic regulatory genome of Capsaspora and the origin of animal multicellularity . Cell 165 : 1224 – 37 . Google Scholar Crossref Search ADS PubMed Sebé-Pedrós A , de Mendoza A. 2015 . Transcription factors and the origin of animal multicellularity . Dordrecht : Springer . p. 379 – 94 . Sebé-Pedrós A , de Mendoza A , Lang BF , Degnan BM , Ruiz-Trillo I. 2011 . Unexpected repertoire of metazoan transcription factors in the unicellular holozoan Capsaspora owczarzaki . Mol Biol Evol 28 : 1241. Google Scholar Crossref Search ADS PubMed Sebé-Pedrós A , Degnan BM , Ruiz-Trillo I. 2017 . The origin of Metazoa: a unicellular perspective . Nat Rev Genet 18 : 498 – 512 . Google Scholar Crossref Search ADS PubMed Sebé-Pedrós A , Irimia M , del Campo J , Parra-Acero H , Russ C , Nusbaum C , Blencowe BJ , Ruiz-Trillo I. 2013b . Regulated aggregative multicellularity in a close unicellular relative of metazoa . Elife 2 : e01287 . Google Scholar Crossref Search ADS Sebé-Pedrós A , Roger AJ , Lang FB , King N , Ruiz-Trillo I. 2010 . Ancient origin of the integrin-mediated adhesion and signaling machinery . Proc Natl Acad Sci U S A 107 : 10142 – 47 . Google Scholar Crossref Search ADS PubMed Sebé-Pedrós A , Zheng Y , Ruiz-Trillo I , Pan D. 2012 . Premetazoan origin of the hippo signaling pathway . Cell Rep 1 : 13 – 20 . Google Scholar Crossref Search ADS PubMed Shalchian-Tabrizi K , Minge MA , Espelund M , Orr R , Ruden T , Jakobsen KS , Cavalier-Smith T. 2008 . Multigene phylogeny of choanozoa and the origin of animals . PLoS One 3 : e2098. Google Scholar Crossref Search ADS PubMed Simpson TL. 1984 . The cell biology of sponges. In: Simpson TL , editor. The cell biology of sponges. New York (NY ): Springer-Verlag . Xix+662 p. Slack JM , Holland PW , Graham CF. 1993 . The zootype and the phylotypic stage . Nature 361 : 490 – 92 . Google Scholar Crossref Search ADS PubMed Smith CL , Varoqueaux F , Kittelmann M , Azzam RN , Cooper B , Winters CA , Eitel M , Fasshauer D , Reese TS. 2014 . Novel cell types, neurosecretory cells, and body plan of the early-diverging metazoan Trichoplax adhaerens . Curr Biol 24 : 1565 – 72 . Google Scholar Crossref Search ADS PubMed Smith MP , Harper DAT. 2013 . Earth science. Causes of the Cambrian explosion . Science 341 : 1355 – 6 . Google Scholar Crossref Search ADS PubMed Srivastava M , Begovic E , Chapman J , Putnam NH , Hellsten U , Kawashima T , Kuo A , Mitros T , Salamov A , Carpenter ML , et al. . 2008 . The Trichoplax genome and the nature of placozoans . Nature 454 : 955 – 60 . Google Scholar Crossref Search ADS PubMed Srivastava M , Simakov O , Chapman J , Fahey B , Gauthier MEA , Mitros T , Richards GS , Conaco C , Dacre M , Hellsten U , et al. . 2010 . The Amphimedon queenslandica genome and the evolution of animal complexity . Nature 466 : 720 – 26 . Google Scholar Crossref Search ADS PubMed Stanley SM. 1973 . An ecological theory for the sudden origin of multicellular life in the late Precambrian . Proc Natl Acad Sci U S A 70 : 1486 – 89 . Google Scholar Crossref Search ADS PubMed Suga H , Chen Z , de Mendoza A , Sebé-Pedrós A , Brown MW , Kramer E , Carr M , Kerner P , Vervoort M , Sánchez-Pons N , et al. . 2013 . The Capsaspora genome reveals a complex unicellular prehistory of animals . Nat Commun 4 : 2325. Google Scholar Crossref Search ADS PubMed Suga H , Ruiz-Trillo I. 2013 . Development of ichthyosporeans sheds light on the origin of metazoan multicellularity . Dev Biol 377 : 284 – 92 . Google Scholar Crossref Search ADS PubMed Suga H , Torruella G , Burger G , Brown MW , Ruiz-Trillo I. 2014 . Earliest holozoan expansion of phosphotyrosine signaling . Mol Biol Evol 31 : 517 – 28 . Google Scholar Crossref Search ADS PubMed Telford MJ , Copley RR. 2016 . Zoology: war of the Worms . Curr Biol 26 : R335 – 7 . Google Scholar Crossref Search ADS PubMed Torruella G , De Mendoza A , Grau-Bové X , Antó M , Chaplin MA , Del Campo J , Eme L , Pérez-Cordón G , Whipps CM , Nichols KM , et al. . 2015 . Phylogenomics reveals convergent evolution of lifestyles in close relatives of animals and fungi . Curr Biol 25 : 2404 – 10 . Google Scholar Crossref Search ADS PubMed Torruella G , Derelle R , Paps J , Lang BF , Roger AJ , Shalchian-Tabrizi K , Ruiz-Trillo I. 2012 . Phylogenetic relationships within the Opisthokonta based on phylogenomic analyses of conserved single copy protein domains . Mol Biol Evol 29 : 531 – 44 . Google Scholar Crossref Search ADS PubMed Trapnell C. 2015 . Defining cell types and states with single-cell genomics . Genome Res 25 : 1491 – 98 . Google Scholar Crossref Search ADS PubMed Troudet J , Grandcolas P , Blin A , Vignes-Lebbe R , Legendre F. 2017 . Taxonomic bias in biodiversity data and societal preferences . Sci Rep 7 : 9132. Google Scholar Crossref Search ADS PubMed Valentine JW , Collins AG , Meyer CP. 1994 . Morphological complexity increase in metazoans . Paleobiology 20 : 131 – 42 . Google Scholar Crossref Search ADS Whelan NV , Kocot KM , Moroz TP , Mukherjee K , Williams P , Paulay G , Moroz LL , Halanych KM. 2017 . Ctenophore relationships and their placement as the sister group to all other animals . Nat Ecol Evol 1 : 1783 – 46 . Google Scholar Crossref Search ADS PubMed Wilson EO. 1984 . Biophilia . Cambridge: Harvard University Press . Woznica A , Gerdt JP , Hulett RE , Clardy J , King N. 2017 . Mating in the closest living relatives of animals is induced by a bacterial chondroitinase . Cell 170 : 1175 – 1183.e11 . Google Scholar Crossref Search ADS PubMed Zhang Z. 2013 . Animal biodiversity: an update of classification and diversity in 2013. In: Zhang Z-Q , Editor. Animal biodiversity: an outline of higher-level classification and survey of taxonomic richness (Addenda 2013) . Auckland, New Zealand: Magnolia press. © The Author(s) 2018. Published by Oxford University Press on behalf of the Society for Integrative and Comparative Biology. All rights reserved. For permissions please email: email@example.com This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/about_us/legal/notices)
Integrative and Comparative Biology – Oxford University Press
Published: Oct 1, 2018
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera