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      Aquaculture genomics, genetics and breeding in the United States: current status, challenges, and priorities for future research

      editorial
      The Aquaculture Genomics, Genetics and Breeding Workshop, 1 , 2 , 3 , 4 , 5 , 1 , 6 , 7 , 8 , 9 , 1 , 1 , 1 , 1 , 10 , 1 , 11 , 1 , 12 , 13 , 1 , 14 , 1 , 1 , 15 , 1 , 1 , 16 , 17 , 1 , 1 , 1 , 1 , , 18 , 1 , 1 , 17 , 1 , 19 , 1 , 20 , 21 , 22 , 5 , 23 , 1 , 6 , 24 , 1 , 25 , 1 , 26 , 1 , 1 , 17 , 27 , 1 , 8 , 28 , 1 , 29 , 1 , 30 , 1 , 1 , 1
      BMC Genomics
      BioMed Central
      Aquaculture, Genetic resources, Genome, Transcriptome, QTL, RNA-Seq, SNP, Fish, Shellfish

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          Abstract

          Advancing the production efficiency and profitability of aquaculture is dependent upon the ability to utilize a diverse array of genetic resources. The ultimate goals of aquaculture genomics, genetics and breeding research are to enhance aquaculture production efficiency, sustainability, product quality, and profitability in support of the commercial sector and for the benefit of consumers. In order to achieve these goals, it is important to understand the genomic structure and organization of aquaculture species, and their genomic and phenomic variations, as well as the genetic basis of traits and their interrelationships. In addition, it is also important to understand the mechanisms of regulation and evolutionary conservation at the levels of genome, transcriptome, proteome, epigenome, and systems biology. With genomic information and information between the genomes and phenomes, technologies for marker/causal mutation-assisted selection, genome selection, and genome editing can be developed for applications in aquaculture. A set of genomic tools and resources must be made available including reference genome sequences and their annotations (including coding and non-coding regulatory elements), genome-wide polymorphic markers, efficient genotyping platforms, high-density and high-resolution linkage maps, and transcriptome resources including non-coding transcripts. Genomic and genetic control of important performance and production traits, such as disease resistance, feed conversion efficiency, growth rate, processing yield, behaviour, reproductive characteristics, and tolerance to environmental stressors like low dissolved oxygen, high or low water temperature and salinity, must be understood. QTL need to be identified, validated across strains, lines and populations, and their mechanisms of control understood. Causal gene(s) need to be identified. Genetic and epigenetic regulation of important aquaculture traits need to be determined, and technologies for marker-assisted selection, causal gene/mutation-assisted selection, genome selection, and genome editing using CRISPR and other technologies must be developed, demonstrated with applicability, and application to aquaculture industries.

          Major progress has been made in aquaculture genomics for dozens of fish and shellfish species including the development of genetic linkage maps, physical maps, microarrays, single nucleotide polymorphism (SNP) arrays, transcriptome databases and various stages of genome reference sequences. This paper provides a general review of the current status, challenges and future research needs of aquaculture genomics, genetics, and breeding, with a focus on major aquaculture species in the United States: catfish, rainbow trout, Atlantic salmon, tilapia, striped bass, oysters, and shrimp. While the overall research priorities and the practical goals are similar across various aquaculture species, the current status in each species should dictate the next priority areas within the species. This paper is an output of the USDA Workshop for Aquaculture Genomics, Genetics, and Breeding held in late March 2016 in Auburn, Alabama, with participants from all parts of the United States.

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          Most cited references168

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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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            Efficient In Vivo Genome Editing Using RNA-Guided Nucleases

            Clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated (Cas) systems have evolved in bacteria and archaea as a defense mechanism to silence foreign nucleic acids of viruses and plasmids. Recent work has shown that bacterial type II CRISPR systems can be adapted to create guide RNAs (gRNAs) capable of directing site-specific DNA cleavage by the Cas9 nuclease in vitro. Here we show that this system can function in vivo to induce targeted genetic modifications in zebrafish embryos with efficiencies comparable to those obtained using ZFNs and TALENs for the same genes. RNA-guided nucleases robustly enabled genome editing at 9 of 11 different sites tested, including two for which TALENs previously failed to induce alterations. These results demonstrate that programmable CRISPR/Cas systems provide a simple, rapid, and highly scalable method for altering genes in vivo, opening the door to using RNA-guided nucleases for genome editing in a wide range of organisms.
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              The genomic basis of adaptive evolution in threespine sticklebacks

              Summary Marine stickleback fish have colonized and adapted to innumerable streams and lakes formed since the last ice age, providing an exceptional opportunity to characterize genomic mechanisms underlying repeated ecological adaptation in nature. Here we develop a high quality reference genome assembly for threespine sticklebacks. By sequencing the genomes of 20 additional individuals from a global set of marine and freshwater populations, we identify a genome-wide set of loci that are consistently associated with marine-freshwater divergence. Our results suggest that reuse of globally-shared standing genetic variation, including chromosomal inversions, plays an important role in repeated evolution of distinct marine and freshwater sticklebacks, and in the maintenance of divergent ecotypes during early stages of reproductive isolation. Both coding and regulatory changes occur in the set of loci underlying marine-freshwater evolution, with regulatory changes likely predominating in this classic example of repeated adaptive evolution in nature.
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                Author and article information

                Contributors
                liuzhan@auburn.edu
                Journal
                BMC Genomics
                BMC Genomics
                BMC Genomics
                BioMed Central (London )
                1471-2164
                20 February 2017
                20 February 2017
                2017
                : 18
                : 191
                Affiliations
                [1 ]ISNI 0000 0001 2297 8753, GRID grid.252546.2, , School of Fisheries, Aquaculture and Aquatic Sciences, Auburn University, ; Auburn, AL 36849 USA
                [2 ]ISNI 0000 0001 2297 8753, GRID grid.252546.2, Department of Biological Sciences, , Auburn University, ; Auburn, AL 36849, USA
                [3 ]Environmental Genomics Inc., P. O. Box 196, Southborough, MA 01772-1801 USA
                [4 ]ISNI 0000 0001 1940 3051, GRID grid.264889.9, Aquaculture Genetics & Breeding Technology Center, , Virginia Institute of Marine Science, ; Gloucester Point, VA 23062 USA
                [5 ]ISNI 0000 0001 2111 6385, GRID grid.260001.5, Department of Biology, , Middle Tennessee State University, ; Murfreesboro, TN 37132 USA
                [6 ]GRID grid.413853.8, , Aquatic Animal Health Research Unit, USDA-ARS, ; 990 Wire Road, Auburn, AL 36832 USA
                [7 ]USDA-ARS-NL Wheat & Corn Collections at a Glance GRP, National Animal Germplasm Program, 1111 S. Mason St., Fort Collins, CO 80521-4500 USA
                [8 ]USDA-ARS/CGRU, 141 Experimental Station Road, Stoneville, MS 38701 USA
                [9 ]Center for Aquaculture Technologies, 8395 Camino Santa Fe, Suite E, San Diego, CA 92121 USA
                [10 ]ISNI 0000 0001 2112 1969, GRID grid.4391.f, Department of Fisheries and Wildlife, , Oregon State University, ; Corvallis, OR 97331 USA
                [11 ]Department of Fisheries, Animal & Veterinary Science, 134 Woodward Hall, 9 East Alumni Avenue, Kingston, RI 02881 USA
                [12 ]ISNI 0000 0004 1936 8796, GRID grid.430387.b, Haskin Shellfish Research Laboratory, Department of Marine and Coastal Sciences, , Rutgers University, ; 6959 Miller Avenue, Port Norris, NJ 08349 USA
                [13 ]Department of Genetics, Cell Biology and Development, 5-108 MCB, 420 Washington Avenue SE, Minneapolis, MN 55455 USA
                [14 ]ISNI 0000 0001 2156 6853, GRID grid.42505.36, Department of Biological Sciences, , University of Southern California, ; Los Angeles, CA 90089-0371 USA
                [15 ]GRID grid.427392.9, , Taylor Shellfish Farms, ; 130 SE Lynch RD, Shelton, WA 98584 USA
                [16 ]ISNI 0000 0001 0941 7177, GRID grid.164295.d, Department of Biology, , University of Maryland, ; 2132 Biosciences Research Building, College Park, MD 20742 USA
                [17 ]ISNI 0000 0004 0404 0958, GRID grid.463419.d, , National Center for Cool and Cold Water Aquaculture, Agricultural Research Service, United States Department of Agriculture, ; Kearneysville, WV 25430 USA
                [18 ]GRID grid.427329.9, , Troutlodge, ; 27090 Us Highway 12, Naches, WA 98937 USA
                [19 ]ISNI 0000 0004 0416 2242, GRID grid.20431.34, , USDA ARS NEA NCWMAC Shellfish Genetics at the University Rhode Island, ; 469 CBLS, 120 Flagg Road, Kingston, RI 02881 USA
                [20 ]ISNI 0000 0001 2173 6074, GRID grid.40803.3f, Department of Applied Ecology, , North Carolina State University, ; Raleigh, NC 27695-7617 USA
                [21 ]USDA ARS Office of National Programs, George Washington Carver Center Room 4-2106, 5601 Sunnyside Avenue, Beltsville, MD 20705 USA
                [22 ]ISNI 0000000122986657, GRID grid.34477.33, , School of Aquatic and Fishery Sciences, University of Washington, ; Seattle, WA 98105 USA
                [23 ]ISNI 0000 0004 1936 7312, GRID grid.34421.30, Genome Informatics Facility, Office of Biotechnology, , Iowa State University, ; Ames, IA 50011 USA
                [24 ]USDOC/NOAA, National Marine Fisheries Service, NEFSC, Milford Laboratory, Milford, Connectcut 06460 USA
                [25 ]ISNI 0000 0001 2168 186X, GRID grid.134563.6, School of Animal and Comparative Biomedical Sciences, , University of Arizona, ; Tucson, AZ 85721 USA
                [26 ]ISNI 0000 0000 9070 1054, GRID grid.250060.1, Aquatic Germplasm and Genetic Resources Center, , School of Renewable Natural Resources, Louisiana State University Agricultural Center, ; Baton Rouge, LA 70820 USA
                [27 ]Stonebridge breeding Ltd, Gate House, Abbotswood, Evesham, WR11 4NS UK
                [28 ]Aquaculture Genetics and Breeding Laboratory, The Ohio State University South Centers, Piketon, OH 45661 USA
                [29 ]ISNI 0000000119573309, GRID grid.9227.e, Key Laboratory of Experimental Marine Biology, Institute of Oceanology, , Chinese Academy of Sciences, ; Qingdao, 266071 China
                [30 ]Hybrid Catfish Company, 1233 Montgomery Drive, Inverness, MS 38753 USA
                Article
                3557
                10.1186/s12864-017-3557-1
                5319170
                28219347
                b5bfbcd7-43d8-4d4a-b2b1-b4d0d6f0a729
                © The Author(s). 2017

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 14 December 2016
                : 6 February 2017
                Funding
                Funded by: USDA AFRI
                Award ID: 2015-67015-22907
                Award Recipient :
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                © The Author(s) 2017

                Genetics
                aquaculture,genetic resources,genome,transcriptome,qtl,rna-seq,snp,fish,shellfish
                Genetics
                aquaculture, genetic resources, genome, transcriptome, qtl, rna-seq, snp, fish, shellfish

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