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      Support for a clade of Placozoa and Cnidaria in genes with minimal compositional bias

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          Abstract

          The phylogenetic placement of the morphologically simple placozoans is crucial to understanding the evolution of complex animal traits. Here, we examine the influence of adding new genomes from placozoans to a large dataset designed to study the deepest splits in the animal phylogeny. Using site-heterogeneous substitution models, we show that it is possible to obtain strong support, in both amino acid and reduced-alphabet matrices, for either a sister-group relationship between Cnidaria and Placozoa, or for Cnidaria and Bilateria as seen in most published work to date, depending on the orthologues selected to construct the matrix. We demonstrate that a majority of genes show evidence of compositional heterogeneity, and that support for the Cnidaria + Bilateria clade can be assigned to this source of systematic error. In interpreting these results, we caution against a peremptory reading of placozoans as secondarily reduced forms of little relevance to broader discussions of early animal evolution.

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          Filter-feeding sponges and tiny gliding, pancake-like animals called placozoans are the only two major groups of animals that lack muscles, nerves and an internal gut. Sponges have historically been seen as the first to have branched off in animal phylogeny – the family tree of living organisms that shows how species are related. This is because it is assumed that they split from the other animals before features including muscles, nerves and internal guts evolved.

          Sequences of their genetic material (the genome) support this view, although some argue that jellyfish-like animals called ctenophores branched first. One explanation for this disagreement is that ctenophores use different proportions of amino acids in their proteins, known as compositional heterogeneity. Computer algorithms that assume amino acid usage is the same universally throughout evolution may therefore place ctenophores incorrectly. In contrast, so far the only genome from a placozoan shows that they are equally closely related to jellyfish and corals (cnidarians) and bilaterians, which includes worms, insects and vertebrates.

          To test whether this view of the first branches of the animal tree of life is correct, Laumer et al. included the genomes from several undescribed species of placozoans in a phylogenetic analysis. These analyses showed a relationship that had not previously been seen. The placozoans were the closest living relative to cnidarians. However, when looking at the level of genes rather than whole genomes, the more usual relationship of placozoans being equally related to cnidarians and bilaterians re-emerged. To resolve this conflict, Laumer et al. focused on the genes that had the least compositional heterogeneity. When doing this, the relationship appeared to be the newly identified one of placozoans being most closely related to cnidarians.

          Researchers studying cnidarians often hope to find some clues as to how the complex features they seem to share with bilaterians originated. The findings of Laumer et al. may suggest that the ancestors of the placozoans did in fact have muscles, nerves and guts, but they lost these traits in favor of a simpler lifestyle. An alternative, but controversial possibility is that the ancestor of cnidarians and bilaterians was a simple organism like a placozoan, and the two evolved their complex traits independently. The findings show a complex picture of early animal evolution. Further study of placozoans may well clarify this picture.

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          Most cited references82

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          Sea anemone genome reveals ancestral eumetazoan gene repertoire and genomic organization.

          Sea anemones are seemingly primitive animals that, along with corals, jellyfish, and hydras, constitute the oldest eumetazoan phylum, the Cnidaria. Here, we report a comparative analysis of the draft genome of an emerging cnidarian model, the starlet sea anemone Nematostella vectensis. The sea anemone genome is complex, with a gene repertoire, exon-intron structure, and large-scale gene linkage more similar to vertebrates than to flies or nematodes, implying that the genome of the eumetazoan ancestor was similarly complex. Nearly one-fifth of the inferred genes of the ancestor are eumetazoan novelties, which are enriched for animal functions like cell signaling, adhesion, and synaptic transmission. Analysis of diverse pathways suggests that these gene "inventions" along the lineage leading to animals were likely already well integrated with preexisting eukaryotic genes in the eumetazoan progenitor.
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            Gene prediction in novel fungal genomes using an ab initio algorithm with unsupervised training.

            We describe a new ab initio algorithm, GeneMark-ES version 2, that identifies protein-coding genes in fungal genomes. The algorithm does not require a predetermined training set to estimate parameters of the underlying hidden Markov model (HMM). Instead, the anonymous genomic sequence in question is used as an input for iterative unsupervised training. The algorithm extends our previously developed method tested on genomes of Arabidopsis thaliana, Caenorhabditis elegans, and Drosophila melanogaster. To better reflect features of fungal gene organization, we enhanced the intron submodel to accommodate sequences with and without branch point sites. This design enables the algorithm to work equally well for species with the kinds of variations in splicing mechanisms seen in the fungal phyla Ascomycota, Basidiomycota, and Zygomycota. Upon self-training, the intron submodel switches on in several steps to reach its full complexity. We demonstrate that the algorithm accuracy, both at the exon and the whole gene level, is favorably compared to the accuracy of gene finders that employ supervised training. Application of the new method to known fungal genomes indicates substantial improvement over existing annotations. By eliminating the effort necessary to build comprehensive training sets, the new algorithm can streamline and accelerate the process of annotation in a large number of fungal genome sequencing projects.
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              The Cambrian conundrum: early divergence and later ecological success in the early history of animals.

              Diverse bilaterian clades emerged apparently within a few million years during the early Cambrian, and various environmental, developmental, and ecological causes have been proposed to explain this abrupt appearance. A compilation of the patterns of fossil and molecular diversification, comparative developmental data, and information on ecological feeding strategies indicate that the major animal clades diverged many tens of millions of years before their first appearance in the fossil record, demonstrating a macroevolutionary lag between the establishment of their developmental toolkits during the Cryogenian [(850 to 635 million years ago (Ma)], and the later ecological success of metazoans during the Ediacaran (635 to 541 Ma) and Cambrian (541 to 488 Ma) periods. We argue that this diversification involved new forms of developmental regulation, as well as innovations in networks of ecological interaction within the context of permissive environmental circumstances.
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                Author and article information

                Contributors
                Role: Reviewing Editor
                Role: Senior Editor
                Journal
                eLife
                Elife
                eLife
                eLife
                eLife Sciences Publications, Ltd
                2050-084X
                30 October 2018
                2018
                : 7
                : e36278
                Affiliations
                [1 ]Wellcome Trust Sanger Institute HinxtonUnited Kingdom
                [2 ]European Molecular Biology Laboratories-European Bioinformatics Institute HinxtonUnited Kingdom
                [3 ]Max Planck Institute for Marine Microbiology BremenGermany
                [4 ]deptKewalo Marine Laboratory Pacific Biosciences Research Center and the University of Hawaii-Manoa HonoluluUnited States
                [5 ]deptInstitute of Marine Sciences University of California Santa CruzUnited States
                [6 ]deptInvertebrate Division, Life Sciences Department The Natural History Museum LondonUnited Kingdom
                [7 ]deptCancer Research UK Cambridge Institute University of Cambridge CambridgeUnited Kingdom
                [8 ]deptMuseum of Comparative Zoology, Department of Organismic and Evolutionary Biology Harvard University CambridgeUnited States
                Vanderbilt University United States
                Max-Planck Institute for Evolutionary Biology Germany
                Vanderbilt University United States
                Author information
                http://orcid.org/0000-0001-8097-8516
                http://orcid.org/0000-0001-9092-0852
                Article
                36278
                10.7554/eLife.36278
                6277202
                30373720
                127dae5c-f6a1-4597-b7c5-75fe71f604b1
                © 2018, Laumer et al

                This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

                History
                : 27 February 2018
                : 11 October 2018
                Funding
                Funded by: Max-Planck-Institut fuer Marine Microbiologie;
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100012116, European Bioinformatics Institute;
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100007229, Harvard University;
                Award ID: Faculty of Arts and Sciences
                Award Recipient :
                The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
                Categories
                Short Report
                Evolutionary Biology
                Custom metadata
                Protein coding genes strongly support a sister group relationship between Placozoa and Cnidaria to the exclusion of Bilateria, contradicting previous phylogenies, which have likely been misled by pervasive compositional heterogeneity.

                Life sciences
                placozoa,trichoplax,cnidaria,bilateria,phylogeny,compositional heterogeneity,other
                Life sciences
                placozoa, trichoplax, cnidaria, bilateria, phylogeny, compositional heterogeneity, other

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