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      Next Generation Sequencing Provides Rapid Access to the Genome of Puccinia striiformis f. sp. tritici, the Causal Agent of Wheat Stripe Rust

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          Abstract

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          Abstract

          Background

          The wheat stripe rust fungus ( Puccinia striiformis f. sp. tritici, PST) is responsible for significant yield losses in wheat production worldwide. In spite of its economic importance, the PST genomic sequence is not currently available. Fortunately Next Generation Sequencing (NGS) has radically improved sequencing speed and efficiency with a great reduction in costs compared to traditional sequencing technologies. We used Illumina sequencing to rapidly access the genomic sequence of the highly virulent PST race 130 (PST-130).

          Methodology/Principal Findings

          We obtained nearly 80 million high quality paired-end reads (>50x coverage) that were assembled into 29,178 contigs (64.8 Mb), which provide an estimated coverage of at least 88% of the PST genes and are available through GenBank. Extensive micro-synteny with the Puccinia graminis f. sp. tritici (PGTG) genome and high sequence similarity with annotated PGTG genes support the quality of the PST-130 contigs. We characterized the transposable elements present in the PST-130 contigs and using an ab initio gene prediction program we identified and tentatively annotated 22,815 putative coding sequences. We provide examples on the use of comparative approaches to improve gene annotation for both PST and PGTG and to identify candidate effectors. Finally, the assembled contigs provided an inventory of PST repetitive elements, which were annotated and deposited in Repbase.

          Conclusions/Significance

          The assembly of the PST-130 genome and the predicted proteins provide useful resources to rapidly identify and clone PST genes and their regulatory regions. Although the automatic gene prediction has limitations, we show that a comparative genomics approach using multiple rust species can greatly improve the quality of gene annotation in these species. The PST-130 sequence will also be useful for comparative studies within PST as more races are sequenced. This study illustrates the power of NGS for rapid and efficient access to genomic sequence in non-model organisms.

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          Most cited references23

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          Epidemiology and control of stripe rust [Puccinia striiformisf. sp.tritici] on wheat

          X.M. Chen (2005)
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            External lipid PI3P mediates entry of eukaryotic pathogen effectors into plant and animal host cells.

            Pathogens of plants and animals produce effector proteins that are transferred into the cytoplasm of host cells to suppress host defenses. One type of plant pathogens, oomycetes, produces effector proteins with N-terminal RXLR and dEER motifs that enable entry into host cells. We show here that effectors of another pathogen type, fungi, contain functional variants of the RXLR motif, and that the oomycete and fungal RXLR motifs enable binding to the phospholipid, phosphatidylinositol-3-phosphate (PI3P). We find that PI3P is abundant on the outer surface of plant cell plasma membranes and, furthermore, on some animal cells. All effectors could also enter human cells, suggesting that PI3P-mediated effector entry may be very widespread in plant, animal and human pathogenesis. Entry into both plant and animal cells involves lipid raft-mediated endocytosis. Blocking PI3P binding inhibited effector entry, suggesting new therapeutic avenues. Copyright 2010 Elsevier Inc. All rights reserved.
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              EST mining and functional expression assays identify extracellular effector proteins from the plant pathogen Phytophthora.

              Plant pathogenic microbes have the remarkable ability to manipulate biochemical, physiological, and morphological processes in their host plants. These manipulations are achieved through a diverse array of effector molecules that can either promote infection or trigger defense responses. We describe a general functional genomics approach aimed at identifying extracellular effector proteins from plant pathogenic microorganisms by combining data mining of expressed sequence tags (ESTs) with virus-based high-throughput functional expression assays in plants. PexFinder, an algorithm for automated identification of extracellular proteins from EST data sets, was developed and applied to 2147 ESTs from the oomycete plant pathogen Phytophthora infestans. The program identified 261 ESTs (12.2%) corresponding to a set of 142 nonredundant Pex (Phytophthora extracellular protein) cDNAs. Of these, 78 (55%) Pex cDNAs were novel with no significant matches in public databases. Validation of PexFinder was performed using proteomic analysis of secreted protein of P. infestans. To identify which of the Pex cDNAs encode effector proteins that manipulate plant processes, high-throughput functional expression assays in plants were performed on 63 of the identified cDNAs using an Agrobacterium tumefaciens binary vector carrying the potato virus X (PVX) genome. This led to the discovery of two novel necrosis-inducing cDNAs, crn1 and crn2, encoding extracellular proteins that belong to a large and complex protein family in Phytophthora. Further characterization of the crn genes indicated that they are both expressed in P. infestans during colonization of the host plant tomato and that crn2 induced defense-response genes in tomato. Our results indicate that combining data mining using PexFinder with PVX-based functional assays can facilitate the discovery of novel pathogen effector proteins. In principle, this strategy can be applied to a variety of eukaryotic plant pathogens, including oomycetes, fungi, and nematodes.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2011
                31 August 2011
                : 6
                : 8
                : e24230
                Affiliations
                [1 ]Department of Plant Sciences, University of California Davis, Davis, California, United States of America
                [2 ]Genome Center, University of California Davis, Davis, California, United States of America
                [3 ]Department of Plant Pathology, Washington State University, Pullman, Washington, United States of America
                [4 ]Wheat Genetics, Quality, Physiology, and Disease Research Unit, United States Department of Agriculture-Agriculture Research Service (USDA-ARS), Pullman, Washington, United States of America
                [5 ]Genetic Information Research Institute, Mountain View, California, United States of America
                [6 ]Howard Hughes Medical Institute, Chevy Chase, Maryland, United States of America
                [7 ]Gordon and Betty Moore Foundation, Palo Alto, California, United States of America
                University of Nebraska, United States of America
                Author notes

                Conceived and designed the experiments: DC RWM JD. Performed the experiments: DC MG AK XC MW KKK JJ JD. Analyzed the data: DC MG AK KKK JJ RWM JD. Contributed reagents/materials/analysis tools: MW XC. Wrote the paper: DC KKK JJ RWM JD.

                Article
                PONE-D-11-05484
                10.1371/journal.pone.0024230
                3164196
                21909385
                94d4b2bf-b91c-4a1a-bf59-4c95b99c27e8
                Cantu et al. 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
                : 4 March 2011
                : 2 August 2011
                Page count
                Pages: 8
                Categories
                Research Article
                Agriculture
                Crops
                Cereals
                Wheat
                Crop Diseases
                Biology
                Genomics
                Comparative Genomics
                Genome Sequencing

                Uncategorized
                Uncategorized

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