Inviting an author to review:
Find an author and click ‘Invite to review selected article’ near their name.
Search for authorsSearch for similar articles
327
views
0
recommends
+1 Recommend
0 collections
    4
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Chromosomal-Level Assembly of the Asian Seabass Genome Using Long Sequence Reads and Multi-layered Scaffolding.

      1 , 2 , 1 , 3 , 4 , 4 ,   5 , 6 , 1 , 1 , 1 , 1 , 1 , 5 , 5 , 7 , 5 , 1 , 1 , 1 , 1 , 6 , 6 , 6 , 6 , 6 , 6 , 6 , 8 , 9 , 9 , 10 , 11 , 12 , 12 , 13 , 12 , 14 , 14 , 15 , 16 , 16 , 15 , 4 , 17 , 12 , 13 , 18 , 6 , 19 , 5 ,   1 , 20 , 21
      PLoS genetics
      Public Library of Science (PLoS)

      Read this article at

      ScienceOpenPublisherPMC
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          We report here the ~670 Mb genome assembly of the Asian seabass (Lates calcarifer), a tropical marine teleost. We used long-read sequencing augmented by transcriptomics, optical and genetic mapping along with shared synteny from closely related fish species to derive a chromosome-level assembly with a contig N50 size over 1 Mb and scaffold N50 size over 25 Mb that span ~90% of the genome. The population structure of L. calcarifer species complex was analyzed by re-sequencing 61 individuals representing various regions across the species' native range. SNP analyses identified high levels of genetic diversity and confirmed earlier indications of a population stratification comprising three clades with signs of admixture apparent in the South-East Asian population. The quality of the Asian seabass genome assembly far exceeds that of any other fish species, and will serve as a new standard for fish genomics.

          Related collections

          Most cited references60

          • Record: found
          • Abstract: found
          • Article: not found

          ProtTest: selection of best-fit models of protein evolution.

          Using an appropriate model of amino acid replacement is very important for the study of protein evolution and phylogenetic inference. We have built a tool for the selection of the best-fit model of evolution, among a set of candidate models, for a given protein sequence alignment. ProtTest is available under the GNU license from http://darwin.uvigo.es
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            LTRharvest, an efficient and flexible software for de novo detection of LTR retrotransposons

            Background Transposable elements are abundant in eukaryotic genomes and it is believed that they have a significant impact on the evolution of gene and chromosome structure. While there are several completed eukaryotic genome projects, there are only few high quality genome wide annotations of transposable elements. Therefore, there is a considerable demand for computational identification of transposable elements. LTR retrotransposons, an important subclass of transposable elements, are well suited for computational identification, as they contain long terminal repeats (LTRs). Results We have developed a software tool LTRharvest for the de novo detection of full length LTR retrotransposons in large sequence sets. LTRharvest efficiently delivers high quality annotations based on known LTR transposon features like length, distance, and sequence motifs. A quality validation of LTRharvest against a gold standard annotation for Saccharomyces cerevisae and Drosophila melanogaster shows a sensitivity of up to 90% and 97% and specificity of 100% and 72%, respectively. This is comparable or slightly better than annotations for previous software tools. The main advantage of LTRharvest over previous tools is (a) its ability to efficiently handle large datasets from finished or unfinished genome projects, (b) its flexibility in incorporating known sequence features into the prediction, and (c) its availability as an open source software. Conclusion LTRharvest is an efficient software tool delivering high quality annotation of LTR retrotransposons. It can, for example, process the largest human chromosome in approx. 8 minutes on a Linux PC with 4 GB of memory. Its flexibility and small space and run-time requirements makes LTRharvest a very competitive candidate for future LTR retrotransposon annotation projects. Moreover, the structured design and implementation and the availability as open source provides an excellent base for incorporating novel concepts to further improve prediction of LTR retrotransposons.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              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.
                Bookmark

                Author and article information

                Journal
                PLoS Genet
                PLoS genetics
                Public Library of Science (PLoS)
                1553-7404
                1553-7390
                Apr 2016
                : 12
                : 4
                Affiliations
                [1 ] Reproductive Genomics Group, Temasek Life Sciences Laboratory, Singapore.
                [2 ] Max Planck Institute for Molecular Genetics, Berlin, Germany.
                [3 ] Laboratory of Chromosome Structure and Function, Department of Cytology and Histology, Biological Faculty, Saint Petersburg State University, St. Petersburg, Russia.
                [4 ] Theodosius Dobzhansky Center for Genome Bioinformatics, Saint Petersburg State University, St. Petersburg, Russia.
                [5 ] South African MRC Bioinformatics Unit, South African National Bioinformatics Institute, University of the Western Cape, Bellville, South Africa.
                [6 ] Pacific Biosciences, Menlo Park, California, United States of America.
                [7 ] Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Canada.
                [8 ] Institute of Molecular and Cellular Biology, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russian Federation.
                [9 ] Genomics Core Facility, Institute of Chemical Biology and Fundamental Medicine, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia.
                [10 ] Norwich Medical School, University of East Anglia, Norwich Research Park, Norwich, United Kingdom.
                [11 ] The Genome Analysis Centre, Norwich, United Kingdom.
                [12 ] Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, One Bungtown Road, Cold Spring Harbor, New York, United States of America.
                [13 ] Department of Computer Science, Johns Hopkins University, Baltimore, Maryland, United States of America.
                [14 ] Nutrition, Genetics & Biotechnology Division, ICAR-Central Institute of Brackishwater Aquaculture, Tamil Nadu, India.
                [15 ] College of Marine and Environmental Sciences and Center for Sustainable Tropical Fisheries and Aquaculture, James Cook University, Townsville, Queensland, Australia.
                [16 ] CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), New Delhi, India.
                [17 ] Oceanographic Center, Nova Southeastern University Ft. Lauderdale, Ft. Lauderdale, Florida, United States of America.
                [18 ] School of Biological Sciences, University of East Anglia, Norwich Research Park, Norwich, United Kingdom.
                [19 ] The Centre for Applied Genomics, The Hospital for Sick Children, Peter Gilgan Centre for Research and Learning, Toronto, Ontario, Canada.
                [20 ] Department of Animal Sciences and Animal Husbandry, Georgikon Faculty, University of Pannonia, Keszthely, Hungary.
                [21 ] Centre for Comparative Genomics, Murdoch University, Murdoch, Australia.
                Article
                PGENETICS-D-15-03078
                10.1371/journal.pgen.1005954
                4833346
                27082250
                845588ba-5b61-48be-a0d7-acedb3de5048
                History

                Comments

                Comment on this article

                scite_
                0
                0
                0
                0
                Smart Citations
                0
                0
                0
                0
                Citing PublicationsSupportingMentioningContrasting
                View Citations

                See how this article has been cited at scite.ai

                scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made.

                Similar content224

                Cited by68