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      Whole genome sequencing of turbot ( Scophthalmus maximus; Pleuronectiformes): a fish adapted to demersal life

      research-article
      1 , * , 2 , 3 , 4 , 5 , 1 , 5 , 3 , 3 , 6 , 7 , 3 , 3 , 3 , 1 , 8 , 8 , 6 , 7 , 5 , 2 , 5 , 3 , 3 , 3 , 9 , 10 , 2 , 6 , 7 , 3 , 11 , 12 , 1 , 5 , 3 , 5 , *
      DNA Research: An International Journal for Rapid Publication of Reports on Genes and Genomes
      Oxford University Press
      turbot, genome sequencing, genetic map, genome evolution, productive traits

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          Abstract

          The turbot is a flatfish (Pleuronectiformes) with increasing commercial value, which has prompted active genomic research aimed at more efficient selection. Here we present the sequence and annotation of the turbot genome, which represents a milestone for both boosting breeding programmes and ascertaining the origin and diversification of flatfish. We compare the turbot genome with model fish genomes to investigate teleost chromosome evolution. We observe a conserved macrosyntenic pattern within Percomorpha and identify large syntenic blocks within the turbot genome related to the teleost genome duplication. We identify gene family expansions and positive selection of genes associated with vision and metabolism of membrane lipids, which suggests adaptation to demersal lifestyle and to cold temperatures, respectively. Our data indicate a quick evolution and diversification of flatfish to adapt to benthic life and provide clues for understanding their controversial origin. Moreover, we investigate the genomic architecture of growth, sex determination and disease resistance, key traits for understanding local adaptation and boosting turbot production, by mapping candidate genes and previously reported quantitative trait loci. The genomic architecture of these productive traits has allowed the identification of candidate genes and enriched pathways that may represent useful information for future marker-assisted selection in turbot.

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          Most cited references62

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          Circos: an information aesthetic for comparative genomics.

          We created a visualization tool called Circos to facilitate the identification and analysis of similarities and differences arising from comparisons of genomes. Our tool is effective in displaying variation in genome structure and, generally, any other kind of positional relationships between genomic intervals. Such data are routinely produced by sequence alignments, hybridization arrays, genome mapping, and genotyping studies. Circos uses a circular ideogram layout to facilitate the display of relationships between pairs of positions by the use of ribbons, which encode the position, size, and orientation of related genomic elements. Circos is capable of displaying data as scatter, line, and histogram plots, heat maps, tiles, connectors, and text. Bitmap or vector images can be created from GFF-style data inputs and hierarchical configuration files, which can be easily generated by automated tools, making Circos suitable for rapid deployment in data analysis and reporting pipelines.
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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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              The role of pattern-recognition receptors in innate immunity: update on Toll-like receptors.

              The discovery of Toll-like receptors (TLRs) as components that recognize conserved structures in pathogens has greatly advanced understanding of how the body senses pathogen invasion, triggers innate immune responses and primes antigen-specific adaptive immunity. Although TLRs are critical for host defense, it has become apparent that loss of negative regulation of TLR signaling, as well as recognition of self molecules by TLRs, are strongly associated with the pathogenesis of inflammatory and autoimmune diseases. Furthermore, it is now clear that the interaction between TLRs and recently identified cytosolic innate immune sensors is crucial for mounting effective immune responses. Here we describe the recent advances that have been made by research into the role of TLR biology in host defense and disease.
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                Author and article information

                Journal
                DNA Res
                DNA Res
                dnares
                dnares
                DNA Research: An International Journal for Rapid Publication of Reports on Genes and Genomes
                Oxford University Press
                1340-2838
                1756-1663
                June 2016
                06 March 2016
                06 March 2016
                : 23
                : 3
                : 181-192
                Affiliations
                [1 ]Instituto de Investigaciones Marinas (IIM), Consejo Superior de Investigaciones Científicas (CSIC) , Vigo36208, Spain
                [2 ]Departamento de Xenética, Facultade de Bioloxía (CIBUS), Universidade de Santiago de Compostela , Santiago de Compostela15782, Spain
                [3 ]Centre Nacional d'Anàlisi Genòmica (CNAG-CRG), Centre de Regulació Genómica , Parc Científic de Barcelona, Barcelona08028, Spain
                [4 ]New York Genome Center , 101 Avenue of the Americas, New York, NY 10013, USA
                [5 ]Departamento de Xenética, Facultade de Veterinaria, Universidade de Santiago de Compostela , Lugo27002, Spain
                [6 ]Departamento de Anatomía Patolóxica e Ciencias Forenses, Grupo de Medicina Xenómica, CIMUS, Universidade de Santiago de Compostela , Santiago de Compostela15782, Spain
                [7 ]Xenómica Comparada de Parasitos Humanos, Instituto de Investigación Sanitaria de Santiago (IDIS) , Santiago de Compostela15706, Spain
                [8 ]Centro de Investigaciones Biológicas (CIB), Consejo Superior de Investigaciones Científicas , Madrid 28040, Spain
                [9 ]Departamento de Matemática Aplicada, Facultade de Matemáticas, Universidade de Santiago de Compostela , 15782 Santiago de Compostela, Spain
                [10 ]Departamento de Xeometría e Topoloxía, Facultade de Matemáticas, Universidade de Santiago de Compostela , 15782 Santiago de Compostela, Spain
                [11 ]Universitat Pompeu Fabra (UPF) , 08003 Barcelona, Spain
                [12 ]Institució Catalana de Recerca i Estudis Avançats (ICREA) , Pg. Lluís Companys 23, 08010 Barcelona, Spain
                Author notes
                [* ]To whom correspondence should be addressed. Tel. +34 620855740. Fax. +34 986292762. E-mail: antoniofigueras@ 123456iim.csic.es (A.F.); Tel. +34 647344062. Fax. +34 982822428. E-mail: paulino.martinez@ 123456usc.es (P.M.)

                Edited by Dr Yuji Kohara

                Article
                dsw007
                10.1093/dnares/dsw007
                4909306
                26951068
                82960e1f-f70e-459f-b3a5-e233e2b1775b
                © The Author 2016. Published by Oxford University Press on behalf of Kazusa DNA Research Institute.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

                History
                : 5 October 2015
                : 3 February 2016
                Funding
                Funded by: Spanish Government: projects Consolider Ingenio: Aquagenomics
                Award ID: CSD2007-00002
                Funded by: Metagenoma de la Península Ibérica (CSD2007-00005), Ministerio de Economía y Competitividad and European Regional Development Funds
                Award ID: AGL2012-35904
                Funded by: Ministerio de Economía y Competitividad
                Award ID: AGL2014-51773
                Award ID: AGL2014-57065-R
                Funded by: Spanish Ministerio de Educación for their FPU fellowships
                Award ID: AP2010-2408
                Award ID: AP2012-0254
                Funded by: Ministerio de Economía y Competitividad
                Award ID: AGL2014-51773
                Funded by: Xunta de Galicia
                Award ID: GRC2014/010
                Categories
                Full Papers

                Genetics
                turbot,genome sequencing,genetic map,genome evolution,productive traits
                Genetics
                turbot, genome sequencing, genetic map, genome evolution, productive traits

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