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      The Ctenophore Genome and the Evolutionary Origins of Neural Systems

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      1 , 2 , 3 , 4 , 1 , 1 , 1 , 3 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 1 , 8 , 1 , 1 , 1 , 2 , 12 , 12 , 1 , 1 , 3 , 1 , 3 , 1 , 7 , 8 , 1 , 1 , 3 , 13 , 3 , 11 , 5 , 6 , 14 , 5 , 6 , 15 , 3 , 8 , 7 , 8 , 16 , 17 , 4 , 1
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          Abstract

          The origins of neural systems remain unresolved. In contrast to other basal metazoans, ctenophores, or comb jellies, have both complex nervous and mesoderm-derived muscular systems. These holoplanktonic predators also have sophisticated ciliated locomotion, behaviour and distinct development. Here, we present the draft genome of Pleurobrachia bachei, Pacific sea gooseberry, together with ten other ctenophore transcriptomes and show that they are remarkably distinct from other animal genomes in their content of neurogenic, immune and developmental genes. Our integrative analyses place Ctenophora as the earliest lineage within Metazoa. This hypothesis is supported by comparative analysis of multiple gene families, including the apparent absence of HOX genes, canonical microRNA machinery, and reduced immune complement in ctenophores. Although two distinct nervous systems are well-recognized in ctenophores, many bilaterian neuron-specific genes and genes of “classical” neurotransmitter pathways either are absent or, if present, are not expressed in neurons. Our metabolomic and physiological data are consistent with the hypothesis that ctenophore neural systems, and possibly muscle specification, evolved independently from those in other animals.

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          • Record: found
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          Gene Ontology: tool for the unification of biology

          Genomic sequencing has made it clear that a large fraction of the genes specifying the core biological functions are shared by all eukaryotes. Knowledge of the biological role of such shared proteins in one organism can often be transferred to other organisms. The goal of the Gene Ontology Consortium is to produce a dynamic, controlled vocabulary that can be applied to all eukaryotes even as knowledge of gene and protein roles in cells is accumulating and changing. To this end, three independent ontologies accessible on the World-Wide Web (http://www.geneontology.org) are being constructed: biological process, molecular function and cellular component.
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            • Record: found
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            Multiple sequence alignment with the Clustal series of programs.

            R Chenna (2003)
            The Clustal series of programs are widely used in molecular biology for the multiple alignment of both nucleic acid and protein sequences and for preparing phylogenetic trees. The popularity of the programs depends on a number of factors, including not only the accuracy of the results, but also the robustness, portability and user-friendliness of the programs. New features include NEXUS and FASTA format output, printing range numbers and faster tree calculation. Although, Clustal was originally developed to run on a local computer, numerous Web servers have been set up, notably at the EBI (European Bioinformatics Institute) (http://www.ebi.ac.uk/clustalw/).
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              The Pfam protein families database.

              Pfam is a large collection of protein families and domains. Over the past 2 years the number of families in Pfam has doubled and now stands at 6190 (version 10.0). Methodology improvements for searching the Pfam collection locally as well as via the web are described. Other recent innovations include modelling of discontinuous domains allowing Pfam domain definitions to be closer to those found in structure databases. Pfam is available on the web in the UK (http://www.sanger.ac.uk/Software/Pfam/), the USA (http://pfam.wustl.edu/), France (http://pfam.jouy.inra.fr/) and Sweden (http://Pfam.cgb.ki.se/).
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                Author and article information

                Journal
                0410462
                6011
                Nature
                Nature
                Nature
                0028-0836
                1476-4687
                21 January 2015
                21 May 2014
                5 June 2014
                23 February 2015
                : 510
                : 7503
                : 109-114
                Affiliations
                [1 ]The Whitney Laboratory for Marine Bioscience, University of Florida, 9505 Ocean Shore Blvd., St. Augustine, Florida 32080, USA
                [2 ]Department of Neuroscience & McKnight Brain Institute, University of Florida, Gainesville, FL 32611, USA
                [3 ]Friday Harbor Laboratories, University of Washington, Friday Harbor, WA 98250, USA
                [4 ]Department of Biological Sciences, Auburn University, 101 Rouse Life Sciences, Auburn, Alabama 36849, USA
                [5 ]Centre for Genomic Regulation (CRG), Dr. Aiguader 88, 08003 Barcelona, Spain
                [6 ]Universitat Pompeu Fabra (UPF), Barcelona, Spain
                [7 ]Department of Psychiatry, University of Massachusetts Medical School, l303 Belmont Street, Worcester MA 01605, USA
                [8 ]Vavilov Institute of General Genetics, Russian Academy of Sciences (RAS), Gubkina 3, Moscow 119991, RF
                [9 ]Department of Chemistry and the Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA
                [10 ]European Research Institute for the Biology of Ageing, University of Groningen Medical Center, Antonius Deusinglaan 1, Building 3226, Room 03.34, 9713 AV Groningen; The Netherlands
                [11 ]Department of Medical Biophysics and Department of Immunology, University of Toronto, Sunnybrook Research Institute 2075 Bayview Avenue, Toronto, ON M4N 3M5, Canada
                [12 ]Genetic Information Research Institute, 1925 Landings Dr., Mountain View, CA 94043, USA
                [13 ]Program in Molecular Medicine, University of Massachusetts Medical School, 222 Maple Avenue, Shrewsbury, Massachusetts 01545, USA
                [14 ]Department of Computer Science, Royal Holloway, University of London, Egham, Surrey TW20 0EX, UK
                [15 ]Institució Catalana de Recerca i Estudis Avançats (ICREA), Pg. Lluis Companys 23, 08010 Barcelona, Spain
                [16 ]Center for Brain Neurobiology and Neurogenetics and Institute of Cytology and Genetics, RAS, Lavrentyev Ave., 10, Novosibirsk 630090, RF
                [17 ]Faculty of Bioengineering and Bioinformatics, Lomonosov Moscow State University, Leninskiye Gory, 119991, Moscow, RF
                Author notes
                Corresponding to: Leonid L Moroz ( moroz@ 123456whitney.ufl.edu ), Principal Investigator; Kenneth Halanych ( ken@ 123456auburn.edu ), phylogenomiucs; Evgeny I. Rogaev ( Evgeny.Rogaev@ 123456umassmed.edu ), gDNA-seq; Andrea B. Kohn ( abkohn@ 123456msn.com ), RNA-seq
                Article
                NIHMS589169
                10.1038/nature13400
                4337882
                24847885
                b540a232-e05e-4f8d-80b8-42632d5add60
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