198
views
0
recommends
+1 Recommend
0 collections
    4
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Genome sequence of the necrotrophic plant pathogen Pythium ultimum reveals original pathogenicity mechanisms and effector repertoire

      research-article
      1 , 2 , 3 , 4 , 5 , 6 , 4 , 4 , 1 , 2 , 7 , 8 , 4 , 9 , 10 , 11 , 12 , 13 , 12 , 11 , 14 , 13 , 15 , 16 , 17 , 17 , 12 , 18 , 12 , 19 , 5 , 15 , 6 , 20 , 20 , 12 , 12 , 21 , 22 , 17 , 17 , 5 , 23 , 23 , 24 , 25 , 22 ,   3 ,   4 , 6 , 9 , 5 ,
      Genome Biology
      BioMed Central

      Read this article at

      Bookmark
          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

          Background

          Pythium ultimum is a ubiquitous oomycete plant pathogen responsible for a variety of diseases on a broad range of crop and ornamental species.

          Results

          The P. ultimum genome (42.8 Mb) encodes 15,290 genes and has extensive sequence similarity and synteny with related Phytophthora species, including the potato blight pathogen Phytophthora infestans. Whole transcriptome sequencing revealed expression of 86% of genes, with detectable differential expression of suites of genes under abiotic stress and in the presence of a host. The predicted proteome includes a large repertoire of proteins involved in plant pathogen interactions, although, surprisingly, the P. ultimum genome does not encode any classical RXLR effectors and relatively few Crinkler genes in comparison to related phytopathogenic oomycetes. A lower number of enzymes involved in carbohydrate metabolism were present compared to Phytophthora species, with the notable absence of cutinases, suggesting a significant difference in virulence mechanisms between P. ultimum and more host-specific oomycete species. Although we observed a high degree of orthology with Phytophthora genomes, there were novel features of the P. ultimum proteome, including an expansion of genes involved in proteolysis and genes unique to Pythium. We identified a small gene family of cadherins, proteins involved in cell adhesion, the first report of these in a genome outside the metazoans.

          Conclusions

          Access to the P. ultimum genome has revealed not only core pathogenic mechanisms within the oomycetes but also lineage-specific genes associated with the alternative virulence and lifestyles found within the pythiaceous lineages compared to the Peronosporaceae.

          Related collections

          Most cited references96

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

          Genome sequence of the nematode C. elegans: a platform for investigating biology.

          (1999)
          The 97-megabase genomic sequence of the nematode Caenorhabditis elegans reveals over 19,000 genes. More than 40 percent of the predicted protein products find significant matches in other organisms. There is a variety of repeated sequences, both local and dispersed. The distinctive distribution of some repeats and highly conserved genes provides evidence for a regional organization of the chromosomes.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Ab initio gene finding in Drosophila genomic DNA.

            Ab initio gene identification in the genomic sequence of Drosophila melanogaster was obtained using (human gene predictor) and Fgenesh programs that have organism-specific parameters for human, Drosophila, plants, yeast, and nematode. We did not use information about cDNA/EST in most predictions to model a real situation for finding new genes because information about complete cDNA is often absent or based on very small partial fragments. We investigated the accuracy of gene prediction on different levels and designed several schemes to predict an unambiguous set of genes (annotation CGG1), a set of reliable exons (annotation CGG2), and the most complete set of exons (annotation CGG3). For 49 genes, protein products of which have clear homologs in protein databases, predictions were recomputed by Fgenesh+ program. The first annotation serves as the optimal computational description of new sequence to be presented in a database. Reliable exons from the second annotation serve as good candidates for selecting the PCR primers for experimental work for gene structure verification. Our results shows that we can identify approximately 90% of coding nucleotides with 20% false positives. At the exon level we accurately predicted 65% of exons and 89% including overlapping exons with 49% false positives. Optimizing accuracy of prediction, we designed a gene identification scheme using Fgenesh, which provided sensitivity (Sn) = 98% and specificity (Sp) = 86% at the base level, Sn = 81% (97% including overlapping exons) and Sp = 58% at the exon level and Sn = 72% and Sp = 39% at the gene level (estimating sensitivity on std1 set and specificity on std3 set). In general, these results showed that computational gene prediction can be a reliable tool for annotating new genomic sequences, giving accurate information on 90% of coding sequences with 14% false positives. However, exact gene prediction (especially at the gene level) needs additional improvement using gene prediction algorithms. The program was also tested for predicting genes of human Chromosome 22 (the last variant of Fgenesh can analyze the whole chromosome sequence). This analysis has demonstrated that the 88% of manually annotated exons in Chromosome 22 were among the ab initio predicted exons. The suite of gene identification programs is available through the WWW server of Computational Genomics Group at http://genomic.sanger.ac.uk/gf. html.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              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.
                Bookmark

                Author and article information

                Journal
                Genome Biol
                Genome Biology
                BioMed Central
                1465-6906
                1465-6914
                2010
                13 July 2010
                : 11
                : 7
                : R73
                Affiliations
                [1 ]Agriculture and Agri-Food Canada, 960 Carling Ave, Ottawa, ON, K1A 0C6, Canada
                [2 ]Department of Biology, Carleton University, Ottawa, ON, K1S 5B6, Canada
                [3 ]CBS-KNAW, Fungal Biodiversity Centre, Uppsalalaan 8, Utrecht, 3584 CT, The Netherlands
                [4 ]The Sainsbury Laboratory, Norwich, NR4 7UH, UK
                [5 ]Department of Plant Biology, Michigan State University, East Lansing, MI 48824, USA
                [6 ]Eccles Institute of Human Genetics, University of Utah, 15 North 2030 East, Room 2100, Salt Lake City, UT 84112-5330, USA
                [7 ]Biodiversity and Climate Research Centre, Georg-Voigt-Str 14-16, D-60325, Frankfurt, Germany
                [8 ]Department of Biological Sciences, Insitute of Ecology, Evolution and Diversity, Johann Wolfgang Goethe University, Siesmayerstr. 70, D-60323 Frankfurt, Germany
                [9 ]Department of Bioagricultural Sciences and Pest Management, Colorado State University, Fort Collins, CO 80523-1177, USA
                [10 ]School of Biology, Newcastle University, Newcastle upon Tyne, NE1 7RU, UK
                [11 ]Genome Project Solutions, 1024 Promenade Street, Hercules, CA 94547, USA
                [12 ]J Craig Venter Institute, 9704 Medical Center Dr., Rockville, MD 20850, USA
                [13 ]Surfaces Cellulaires et Signalisation chez les Végétaux, UMR5546 CNRS-Université de Toulouse, 24 chemin de Borde Rouge, BP42617, Auzeville, Castanet-Tolosan, F-31326, France
                [14 ]Scottish Association for Marine Science, Oban, PA37 1QA, UK
                [15 ]Laboratory of Phytopathology, Wageningen University, NL-1-6708 PB, Wageningen, The Netherlands
                [16 ]Centre for BioSystems Genomics (CBSG), PO Box 98, 6700 AB Wageningen, The Netherlands
                [17 ]Institute of Medical Sciences, University of Aberdeen, Foresterhill, Aberdeen, AB25 2ZD, UK
                [18 ]The Broad Institute of MIT and Harvard, Cambridge, MA 02141, USA
                [19 ]Department of Pathology, Faculty of Medicine-Ramathibodi Hospital, Mahidol University, Rama 6 Road, Bangkok, 10400, Thailand
                [20 ]Department of Biological Sciences, Bowling Green State University, Bowling Green, OH 43403, USA
                [21 ]Department of Plant Pathology and Microbiology, University of California, Riverside, CA 92521, USA
                [22 ]Virginia Bioinformatics Institute, Virginia Polytechnic Institute and State University, Washington Street, Blacksburg, VA 24061-0477, USA
                [23 ]Architecture et Fonction des Macromolecules Biologiques, UMR6098, CNRS, Univ. Aix-Marseille I & II, 163 Avenue de Luminy, 13288 Marseille, France
                [24 ]USDA-ARS, 1636 East Alisal St, Salinias, CA, 93905, USA
                [25 ]Evolutionary Systems Biology, SRI International, Room AE207, 333 Ravenswood Ave, Menlo Park, CA 94025, USA
                Article
                gb-2010-11-7-r73
                10.1186/gb-2010-11-7-r73
                2926784
                20626842
                c973d252-e8a7-46d0-b536-ea68df5fff8d
                Copyright ©2010 Lévesque et al.; licensee BioMed Central Ltd.

                This is an open access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 17 February 2010
                : 2 May 2010
                : 13 July 2010
                Categories
                Research

                Genetics
                Genetics

                Comments

                Comment on this article