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      Recent Asian origin of chytrid fungi causing global amphibian declines

      1 , 2 , 3 , 1 , 2 , 4 , 5 , 6 , 6 , 7 , 6 , 8 , 1 , 9 , 10 , 11 , 12 , 13 , 14 , 14 , 15 , 1 , 2 , 8 , 16 , 2 , 1 , 2 , 17 , 2 , 18 , 1 , 19 , 20 , 21 , 22 , 23 , 24 , 22 , 25 , 26 , 27 , 22 , 28 , 29 , 27 , 25 , 26 , 30 , 1 , 8 , 2 , 31 , 15 , 12 , 32 , 33 , 15 , 34 , 19 , 35 , 8 , 1 , 2 , 36 , 1 , 37 , 23 , 13 , 14 , 19 , 38 ,   12 , 2 , 19 , 32 , 1
      Science
      American Association for the Advancement of Science (AAAS)

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          Panzootic chytrid fungus out of Asia

          Species in the fungal genus Batrachochytrium are responsible for severe declines in the populations of amphibians globally. The sources of these pathogens have been uncertain. O'Hanlon et al. used genomics on a panel of more than 200 isolates to trace the source of the frog pathogen B. dendrobatidis to a hyperdiverse hotspot in the Korean peninsula (see the Perspective by Lips). Over the past century, the trade in amphibian species has accelerated, and now all lineages of B. dendrobatidis occur in traded amphibians; the fungus has become ubiquitous and is diversifying rapidly.

          Science , this issue p. [Related article:]621 ; see also p. [Related article:]604

          Abstract

          The chytrid fungus responsible for global amphibian declines originated in the Korean peninsula and spread during the past century by human trade.

          Abstract

          Globalized infectious diseases are causing species declines worldwide, but their source often remains elusive. We used whole-genome sequencing to solve the spatiotemporal origins of the most devastating panzootic to date, caused by the fungus Batrachochytrium dendrobatidis , a proximate driver of global amphibian declines. We traced the source of B. dendrobatidis to the Korean peninsula, where one lineage, Bd ASIA-1, exhibits the genetic hallmarks of an ancestral population that seeded the panzootic. We date the emergence of this pathogen to the early 20th century, coinciding with the global expansion of commercial trade in amphibians, and we show that intercontinental transmission is ongoing. Our findings point to East Asia as a geographic hotspot for B. dendrobatidis biodiversity and the original source of these lineages that now parasitize amphibians worldwide.

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          The Sequence Alignment/Map format and SAMtools

          Summary: The Sequence Alignment/Map (SAM) format is a generic alignment format for storing read alignments against reference sequences, supporting short and long reads (up to 128 Mbp) produced by different sequencing platforms. It is flexible in style, compact in size, efficient in random access and is the format in which alignments from the 1000 Genomes Project are released. SAMtools implements various utilities for post-processing alignments in the SAM format, such as indexing, variant caller and alignment viewer, and thus provides universal tools for processing read alignments. Availability: http://samtools.sourceforge.net Contact: rd@sanger.ac.uk
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            Is Open Access

            RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies

            Motivation: Phylogenies are increasingly used in all fields of medical and biological research. Moreover, because of the next-generation sequencing revolution, datasets used for conducting phylogenetic analyses grow at an unprecedented pace. RAxML (Randomized Axelerated Maximum Likelihood) is a popular program for phylogenetic analyses of large datasets under maximum likelihood. Since the last RAxML paper in 2006, it has been continuously maintained and extended to accommodate the increasingly growing input datasets and to serve the needs of the user community. Results: I present some of the most notable new features and extensions of RAxML, such as a substantial extension of substitution models and supported data types, the introduction of SSE3, AVX and AVX2 vector intrinsics, techniques for reducing the memory requirements of the code and a plethora of operations for conducting post-analyses on sets of trees. In addition, an up-to-date 50-page user manual covering all new RAxML options is available. Availability and implementation: The code is available under GNU GPL at https://github.com/stamatak/standard-RAxML. Contact: alexandros.stamatakis@h-its.org Supplementary information: Supplementary data are available at Bioinformatics online.
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              The Genome Analysis Toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data.

              Next-generation DNA sequencing (NGS) projects, such as the 1000 Genomes Project, are already revolutionizing our understanding of genetic variation among individuals. However, the massive data sets generated by NGS--the 1000 Genome pilot alone includes nearly five terabases--make writing feature-rich, efficient, and robust analysis tools difficult for even computationally sophisticated individuals. Indeed, many professionals are limited in the scope and the ease with which they can answer scientific questions by the complexity of accessing and manipulating the data produced by these machines. Here, we discuss our Genome Analysis Toolkit (GATK), a structured programming framework designed to ease the development of efficient and robust analysis tools for next-generation DNA sequencers using the functional programming philosophy of MapReduce. The GATK provides a small but rich set of data access patterns that encompass the majority of analysis tool needs. Separating specific analysis calculations from common data management infrastructure enables us to optimize the GATK framework for correctness, stability, and CPU and memory efficiency and to enable distributed and shared memory parallelization. We highlight the capabilities of the GATK by describing the implementation and application of robust, scale-tolerant tools like coverage calculators and single nucleotide polymorphism (SNP) calling. We conclude that the GATK programming framework enables developers and analysts to quickly and easily write efficient and robust NGS tools, many of which have already been incorporated into large-scale sequencing projects like the 1000 Genomes Project and The Cancer Genome Atlas.
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                Journal
                Science
                Science
                American Association for the Advancement of Science (AAAS)
                0036-8075
                1095-9203
                May 11 2018
                May 11 2018
                : 360
                : 6389
                : 621-627
                Affiliations
                [1 ]Department of Infectious Disease Epidemiology and MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London W2 1PG, UK.
                [2 ]Institute of Zoology, Regent’s Park, London NW1 4RY, UK.
                [3 ]CIRAD, UMR PVBMT, 97410 St. Pierre, Reunion, France.
                [4 ]Department of Biology, University of Nevada, Reno, NV 89557, USA.
                [5 ]Centre for Ecology, Evolution and Environmental Changes (CE3C), Faculdade de Ciências da Universidade de Lisboa, Lisboa, Portugal.
                [6 ]Laboratory of Behavioral and Population Ecology, School of Biological Sciences, Seoul National University, Seoul 08826, South Korea.
                [7 ]CIRAD, UMR ASTRE, F-34398 Montpellier, France.
                [8 ]One Health Research Group, College of Public Health, Medical and Veterinary Sciences, James Cook University, Townsville, Queensland 4811, Australia.
                [9 ]Westerdijk Fungal Biodiversity Institute, Uppsalalaan 8, 3584CT Utrecht, Netherlands.
                [10 ]Institute of Biodiversity and Ecosystem Dynamics, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, Netherlands.
                [11 ]Department of Life Sciences, Silwood Park Campus, Imperial College London, Ascot, UK.
                [12 ]UCL Genetics Institute, University College London, London WC1E 6BT, UK.
                [13 ]Department of Natural History, NTNU University Museum, Norwegian University of Science and Technology (NTNU), Erling Skakkes gate 49, NO-7012 Trondheim, Norway.
                [14 ]Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Øster Voldgade 5-7, 1350 Copenhagen, Denmark.
                [15 ]Centro de Investigación para la Sustentabilidad, Facultad de Ecología y Recursos Naturales, Universidad Andres Bello, Republica 440, Santiago, Chile.
                [16 ]Agency for Population Ecology and Nature Conservancy, Gerbrunn, Germany.
                [17 ]Laboratoire Ecologie, Évolution, Interactions des Systèmes Amazoniens (LEEISA), Université de Guyane, CNRS, IFREMER, 97300 Cayenne, French Guiana.
                [18 ]Conservation Programmes, Royal Zoological Society of Scotland, Edinburgh, UK.
                [19 ]Unit for Environmental Sciences and Management, Private Bag x6001, North-West University, Potchefstroom 2520, South Africa.
                [20 ]Life Sciences, Natural History Museum, London SW7 5BD, UK.
                [21 ]Biology Department, University of Victoria, Victoria, BC V8W 3N5, Canada.
                [22 ]Department of Ecology and Genetics, EBC, Uppsala University, Norbyv. 18D, SE-75236, Uppsala, Sweden.
                [23 ]Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48109, USA.
                [24 ]Zoology Division, Endemic Species Research Institute, 1 Ming-shen East Road, Jiji, Nantou 552, Taiwan.
                [25 ]Department of Conservation Biology, Helmholtz Centre for Environmental Research–UFZ, 04318 Leipzig, Germany.
                [26 ]EcoLab, Université de Toulouse, CNRS, INPT, UPS, Toulouse, France.
                [27 ]Department of Pathology, Bacteriology and Avian Diseases, Faculty of Veterinary Medicine, Ghent University, B-9820 Merelbeke, Belgium.
                [28 ]PSL Research University, CEFE UMR 5175, CNRS, Université de Montpellier, Université Paul-Valéry Montpellier, EPHE, Montpellier, France.
                [29 ]Amphibian and Reptile Conservation (ARC) Trust, Boscombe, Bournemouth, Dorset BH1 4AP, UK.
                [30 ]Department of Evolutionary Biology and Environmental Studies, University of Zurich, 8057 Zurich, Switzerland, and Info Fauna Karch, UniMail-Bâtiment G, Bellevaux 51, 2000 Neuchâtel, Switzerland.
                [31 ]National Wildlife Management Centre, APHA, Woodchester Park, Gloucestershire GL10 3UJ, UK.
                [32 ]Non-profit Association Zirichiltaggi–Sardinia Wildlife Conservation, Strada Vicinale Filigheddu 62/C, I-07100 Sassari, Italy.
                [33 ]Laboratório de História Natural de Anfíbios Brasileiros (LaHNAB), Departamento de Biologia Animal, Instituto de Biologia, Unicamp, Campinas, Brazil.
                [34 ]ONG Ranita de Darwin, Nataniel Cox 152, Santiago, Chile.
                [35 ]Collection of Amphibians and Reptiles, Department of Zoology, Hungarian Natural History Museum, Budapest, Baross u. 13., 1088, Hungary.
                [36 ]Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY 14853, USA.
                [37 ]Centre for Genomic Pathogen Surveillance, Wellcome Genome Campus, Cambridgeshire, UK.
                [38 ]Museo Nacional de Ciencias Naturales, CSIC c/ Jose Gutierrez Abascal 2, 28006 Madrid, Spain.
                Article
                10.1126/science.aar1965
                6311102
                29748278
                e6957544-e606-4a29-a3d0-bbfe931de85b
                © 2018
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