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      The rainbow trout genome provides novel insights into evolution after whole-genome duplication in vertebrates

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          Abstract

          Vertebrate evolution has been shaped by several rounds of whole-genome duplications (WGDs) that are often suggested to be associated with adaptive radiations and evolutionary innovations. Due to an additional round of WGD, the rainbow trout genome offers a unique opportunity to investigate the early evolutionary fate of a duplicated vertebrate genome. Here we show that after 100 million years of evolution the two ancestral subgenomes have remained extremely collinear, despite the loss of half of the duplicated protein-coding genes, mostly through pseudogenization. In striking contrast is the fate of miRNA genes that have almost all been retained as duplicated copies. The slow and stepwise rediploidization process characterized here challenges the current hypothesis that WGD is followed by massive and rapid genomic reorganizations and gene deletions.

          Abstract

          Although whole-genome duplications (WGDs) are rare events, they have an important role in shaping vertebrate evolution. Here, the authors sequence the rainbow trout genome and show that rediploidization after WGD occurs in a slow and stepwise manner.

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          Most cited references39

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          Cluster analysis and display of genome-wide expression patterns.

          A system of cluster analysis for genome-wide expression data from DNA microarray hybridization is described that uses standard statistical algorithms to arrange genes according to similarity in pattern of gene expression. The output is displayed graphically, conveying the clustering and the underlying expression data simultaneously in a form intuitive for biologists. We have found in the budding yeast Saccharomyces cerevisiae that clustering gene expression data groups together efficiently genes of known similar function, and we find a similar tendency in human data. Thus patterns seen in genome-wide expression experiments can be interpreted as indications of the status of cellular processes. Also, coexpression of genes of known function with poorly characterized or novel genes may provide a simple means of gaining leads to the functions of many genes for which information is not available currently.
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            The zebrafish reference genome sequence and its relationship to the human genome.

            Zebrafish have become a popular organism for the study of vertebrate gene function. The virtually transparent embryos of this species, and the ability to accelerate genetic studies by gene knockdown or overexpression, have led to the widespread use of zebrafish in the detailed investigation of vertebrate gene function and increasingly, the study of human genetic disease. However, for effective modelling of human genetic disease it is important to understand the extent to which zebrafish genes and gene structures are related to orthologous human genes. To examine this, we generated a high-quality sequence assembly of the zebrafish genome, made up of an overlapping set of completely sequenced large-insert clones that were ordered and oriented using a high-resolution high-density meiotic map. Detailed automatic and manual annotation provides evidence of more than 26,000 protein-coding genes, the largest gene set of any vertebrate so far sequenced. Comparison to the human reference genome shows that approximately 70% of human genes have at least one obvious zebrafish orthologue. In addition, the high quality of this genome assembly provides a clearer understanding of key genomic features such as a unique repeat content, a scarcity of pseudogenes, an enrichment of zebrafish-specific genes on chromosome 4 and chromosomal regions that influence sex determination.
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              tRNAscan-SE: A Program for Improved Detection of Transfer RNA Genes in Genomic Sequence

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                Author and article information

                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Pub. Group
                2041-1723
                22 April 2014
                : 5
                : 3657
                Affiliations
                [1 ]Ecole Normale Supérieure, Institut de Biologie de l’Ecole Normale Supérieur, IBENS , 46 rue d'Ulm, Paris F-75005, France
                [2 ]Inserm, U1024 , 46 rue d'Ulm, Paris F-75005, France
                [3 ]CNRS, UMR 8197 , 46 rue d'Ulm, Paris F-75005, France
                [4 ]CEA-Institut de Génomique, Genoscope, Centre National de Séquençage, 2 rue Gaston Crémieux , CP5706, F-91057 Evry Cedex, France
                [5 ]European Molecular Biology Laboratory-European Bioinformatics Institute, Welcome Trust Genome Campus , Hinxton, Cambridge CB10 1SD, UK
                [6 ]Institut de Génomique Fonctionnelle de Lyon, Ecole Normale Supérieur de Lyon-CNRS UMR 5242–UCBL, 46, allée d'Italie , F-69364 Lyon Cedex 07, France
                [7 ]INRA, UR1037 Fish Physiology and Genomics , F-35000 Rennes, France
                [8 ]INRA, UMR 1313 Génétique Animale et Biologie Intégrative , F-78350 Jouy-en-Josas, France
                [9 ]INRA, SIGENAE, UR 875, INRA Auzeville, BP 52627 , F-31326 Castanet-Tolosan Cedex, France
                [10 ]INRA, UBIA UR 875 , F-31320 Castanet-Tolosan, France
                [11 ]INRA, Plateforme Bioinformatique, UR 875 , F-31320 Castanet-Tolosan, France
                [12 ]School of Biological Sciences, Washington State University , PO Box 644236, Pullman, Washington 99164-4236, USA
                [13 ]Université d’Evry, UMR 8030 , CP5706 Evry, France
                [14 ]Centre National de la Recherche Scientifique (CNRS), UMR 8030 , CP5706 Evry, France
                [15 ]These authors contributed equally to this work
                Author notes
                Article
                ncomms4657
                10.1038/ncomms4657
                4071752
                24755649
                27f8f027-b5bd-4763-a5d4-fc6995a5109f
                Copyright © 2014, Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved.

                This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/

                History
                : 09 January 2014
                : 14 March 2014
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