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      Distinctive Expansion of Potential Virulence Genes in the Genome of the Oomycete Fish Pathogen Saprolegnia parasitica

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      1 , 2 , 1 , 2 , 3 , 2 , 2 , 3 , 4 , 5 , 6 , 6 , 5 , 1 , 5 , 7 , 8 , 2 , 6 , 2 , 1 , 9 , 7 , 10 , 1 , 4 , 2 , 2 , 6 , 2 , 3 , 8 , 11 , 8 , 11 , 4 , 1 , 12 , 2 , 13 , 2 , 1 , 1 , 14 , 1 , 12 , 2 , *
      PLoS Genetics
      Public Library of Science

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          Abstract

          Oomycetes in the class Saprolegniomycetidae of the Eukaryotic kingdom Stramenopila have evolved as severe pathogens of amphibians, crustaceans, fish and insects, resulting in major losses in aquaculture and damage to aquatic ecosystems. We have sequenced the 63 Mb genome of the fresh water fish pathogen, Saprolegnia parasitica. Approximately 1/3 of the assembled genome exhibits loss of heterozygosity, indicating an efficient mechanism for revealing new variation. Comparison of S. parasitica with plant pathogenic oomycetes suggests that during evolution the host cellular environment has driven distinct patterns of gene expansion and loss in the genomes of plant and animal pathogens. S. parasitica possesses one of the largest repertoires of proteases (270) among eukaryotes that are deployed in waves at different points during infection as determined from RNA-Seq data. In contrast, despite being capable of living saprotrophically, parasitism has led to loss of inorganic nitrogen and sulfur assimilation pathways, strikingly similar to losses in obligate plant pathogenic oomycetes and fungi. The large gene families that are hallmarks of plant pathogenic oomycetes such as Phytophthora appear to be lacking in S. parasitica, including those encoding RXLR effectors, Crinkler's, and Necrosis Inducing-Like Proteins (NLP). S. parasitica also has a very large kinome of 543 kinases, 10% of which is induced upon infection. Moreover, S. parasitica encodes several genes typical of animals or animal-pathogens and lacking from other oomycetes, including disintegrins and galactose-binding lectins, whose expression and evolutionary origins implicate horizontal gene transfer in the evolution of animal pathogenesis in S. parasitica.

          Author Summary

          Fish are an increasingly important source of animal protein globally, with aquaculture production rising dramatically over the past decade. Saprolegnia is a fungal-like oomycete and one of the most destructive fish pathogens, causing millions of dollars in losses to the aquaculture industry annually. Saprolegnia has also been linked to a worldwide decline in wild fish and amphibian populations. Here we describe the genome sequence of the first animal pathogenic oomycete and compare the genome content with the available plant pathogenic oomycetes. We found that Saprolegnia lacks the large effector families that are hallmarks of plant pathogenic oomycetes, showing evolutionary adaptation to the host. Moreover, Saprolegnia harbors pathogenesis-related genes that were derived by lateral gene transfer from the host and other animal pathogens. The retrotransposon LINE family also appears to be acquired from animal lineages. By transcriptome analysis we show a high rate of allelic variation, which reveals rapidly evolving genes and potentially adaptive evolutionary mechanisms coupled to selective pressures exerted by the animal host. The genome and transcriptome data, as well as subsequent biochemical analyses, provided us with insight in the disease process of Saprolegnia at a molecular and cellular level, providing us with targets for sustainable control of Saprolegnia.

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          Most cited references51

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          Phytophthora genome sequences uncover evolutionary origins and mechanisms of pathogenesis.

          Draft genome sequences have been determined for the soybean pathogen Phytophthora sojae and the sudden oak death pathogen Phytophthora ramorum. Oömycetes such as these Phytophthora species share the kingdom Stramenopila with photosynthetic algae such as diatoms, and the presence of many Phytophthora genes of probable phototroph origin supports a photosynthetic ancestry for the stramenopiles. Comparison of the two species' genomes reveals a rapid expansion and diversification of many protein families associated with plant infection such as hydrolases, ABC transporters, protein toxins, proteinase inhibitors, and, in particular, a superfamily of 700 proteins with similarity to known oömycete avirulence genes.
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            Comprehensive comparative analysis of strand-specific RNA sequencing methods

            Strand-specific, massively-parallel cDNA sequencing (RNA-Seq) is a powerful tool for novel transcript discovery, genome annotation, and expression profiling. Despite multiple published methods for strand-specific RNA-Seq, no consensus exists as to how to choose between them. Here, we developed a comprehensive computational pipeline to compare library quality metrics from any RNA-Seq method. Using the well-annotated Saccharomyces cerevisiae transcriptome as a benchmark, we compared seven library construction protocols, including both published and our own novel methods. We found marked differences in strand-specificity, library complexity, evenness and continuity of coverage, agreement with known annotations, and accuracy for expression profiling. Weighing each method’s performance and ease, we identify the dUTP second strand marking and the Illumina RNA ligation methods as the leading protocols, with the former benefitting from the current availability of paired-end sequencing. Our analysis provides a comprehensive benchmark, and our computational pipeline is applicable for assessment of future protocols in other organisms.
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              A translocation signal for delivery of oomycete effector proteins into host plant cells.

              Bacterial, oomycete and fungal plant pathogens establish disease by translocation of effector proteins into host cells, where they may directly manipulate host innate immunity. In bacteria, translocation is through the type III secretion system, but analogous processes for effector delivery are uncharacterized in fungi and oomycetes. Here we report functional analyses of two motifs, RXLR and EER, present in translocated oomycete effectors. We use the Phytophthora infestans RXLR-EER-containing protein Avr3a as a reporter for translocation because it triggers RXLR-EER-independent hypersensitive cell death following recognition within plant cells that contain the R3a resistance protein. We show that Avr3a, with or without RXLR-EER motifs, is secreted from P. infestans biotrophic structures called haustoria, demonstrating that these motifs are not required for targeting to haustoria or for secretion. However, following replacement of Avr3a RXLR-EER motifs with alanine residues, singly or in combination, or with residues KMIK-DDK--representing a change that conserves physicochemical properties of the protein--P. infestans fails to deliver Avr3a or an Avr3a-GUS fusion protein into plant cells, demonstrating that these motifs are required for translocation. We show that RXLR-EER-encoding genes are transcriptionally upregulated during infection. Bioinformatic analysis identifies 425 potential genes encoding secreted RXLR-EER class proteins in the P. infestans genome. Identification of this class of proteins provides unparalleled opportunities to determine how oomycetes manipulate hosts to establish infection.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS Genet
                PLoS Genet
                plos
                plosgen
                PLoS Genetics
                Public Library of Science (San Francisco, USA )
                1553-7390
                1553-7404
                June 2013
                June 2013
                13 June 2013
                : 9
                : 6
                : e1003272
                Affiliations
                [1 ]Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America
                [2 ]Aberdeen Oomycete Laboratory, School of Medical Sciences, University of Aberdeen, Aberdeen, United Kingdom
                [3 ]Scottish Fish Immunology Research Centre, School of Biological Sciences, University of Aberdeen, Aberdeen, United Kingdom
                [4 ]Plant-Microbe Interactions, Department of Biology, Utrecht University, Utrecht, The Netherlands
                [5 ]Université de Toulouse; UPS; Laboratoire de Recherche en Sciences Végétales, Castanet-Tolosan, France and CNRS, Laboratoire de Recherche en Sciences Végétales, Auzeville, Castanet-Tolosan, France
                [6 ]Division of Glycoscience, School of Biotechnology, Royal Institute of Technology (KTH), AlbaNova University Centre, Stockholm, Sweden
                [7 ]Laboratory of Phytopathology, Wageningen University, Wageningen, The Netherlands
                [8 ]Centre for BioSystems Genomics, Wageningen, The Netherlands
                [9 ]Dipartimento di Gestione dei Sistemi Agrari e Forestali, Università degli Studi Mediterranea, Reggio Calabria, Italy
                [10 ]Department of Biological Sciences, Bowling Green State University, Bowling Green, Ohio, United States of America
                [11 ]Theoretical Biology and Bioinformatics, Department of Biology, Utrecht University, Utrecht, The Netherlands
                [12 ]Virginia Bioinformatics Institute, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, United States of America
                [13 ]ENES Unidad León, Universidad Nacional Autónoma de México, León, Mexico
                [14 ]Departamento de Micología, Real Jardín Botánico CSIC, Madrid, Spain
                Virginia Tech, United States of America
                Author notes

                The authors have declared that no competing interests exist.

                Conceived and designed the experiments: RHYJ IdB BJH CJS JD-U CR BMT PvW VB ER SMD-M. Performed the experiments: RHYJ IdB BJH RB LL JC JZL CJS SW SKY QZ CR BMT PvW ER SMD-M AJP. Analyzed the data: RHYJ IdB BJH RB LL JC GvdA AB BD LF EG FG LJG-B NRH JZL MM HJGM PM CN SO DvR MS CJS MFS BS JHMS SS ST HvdB JCV-A SW SKY QZ JD-U CR BMT PvW VB ER SMD-M. Contributed reagents/materials/analysis tools: CN CR BMT PvW ER SMD-M AJP. Wrote the paper: RHYJ IdB BJH RB LL FG CN CR BMT PvW VB.

                [¤a]

                Current address: Laboratory of Phytopathology, Wageningen University, Wageningen, The Netherlands.

                [¤b]

                Current address: Department of Botany and Plant Pathology, Oregon State University, Corvallis, Oregon, United States of America.

                * These authors also contributed equally to this work.

                Article
                PGENETICS-D-12-02114
                10.1371/journal.pgen.1003272
                3681718
                23785293
                e2631522-bb5b-4fca-8847-cc8bc9872db8
                Copyright @ 2013

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 17 August 2012
                : 10 December 2012
                Page count
                Pages: 20
                Funding
                This work was supported by the Agriculture and Food Research Institute of the National Institute of Food and Agriculture, grant 2008-35600-04646 (to BMT); by the Ministerio de Ciencia e Innovación, Spain (CGL2009-10032) (JD-U); and by the BBSRC, NERC, The Royal Society, the University of Aberdeen, and the European Union (FP7) for a Marie Curie Initial Training Network award “SAPRO” (PvW). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology
                Genomics
                Comparative Genomics
                Genome Databases
                Genome Expression Analysis
                Genome Sequencing
                Microbiology
                Emerging Infectious Diseases
                Host-Pathogen Interaction
                Microbial Pathogens
                Parasitology
                Pathogenesis

                Genetics
                Genetics

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