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      Characterization of the Largest Effector Gene Cluster of Ustilago maydis

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          Abstract

          In the genome of the biotrophic plant pathogen Ustilago maydis, many of the genes coding for secreted protein effectors modulating virulence are arranged in gene clusters. The vast majority of these genes encode novel proteins whose expression is coupled to plant colonization. The largest of these gene clusters, cluster 19A, encodes 24 secreted effectors. Deletion of the entire cluster results in severe attenuation of virulence. Here we present the functional analysis of this genomic region. We show that a 19A deletion mutant behaves like an endophyte, i.e. is still able to colonize plants and complete the infection cycle. However, tumors, the most conspicuous symptoms of maize smut disease, are only rarely formed and fungal biomass in infected tissue is significantly reduced. The generation and analysis of strains carrying sub-deletions identified several genes significantly contributing to tumor formation after seedling infection. Another of the effectors could be linked specifically to anthocyanin induction in the infected tissue. As the individual contributions of these genes to tumor formation were small, we studied the response of maize plants to the whole cluster mutant as well as to several individual mutants by array analysis. This revealed distinct plant responses, demonstrating that the respective effectors have discrete plant targets. We propose that the analysis of plant responses to effector mutant strains that lack a strong virulence phenotype may be a general way to visualize differences in effector function.

          Author Summary

          In this study, we provide the first step to the functional analysis of the largest gene cluster in the Ustilago maydis genome encoding 24 secreted effectors. While the deletion of the entire cluster dramatically affected tumor formation and abolished anthocyanin induction, only one of the genes had a large contribution to tumor formation, while another effector gene was primarily responsible for the anthocyanin induction. Unexpectedly, the cluster mutant could still colonize plants and complete the life cycle, i.e. behaves like an endophyte. Despite only small contributions to tumor formation, individual effector mutants caused distinct plant responses, suggesting that they affect discrete plant processes. On these grounds we are proposing to use plant responses as a general readout to assess and compare effector gene function.

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          Most cited references31

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          Insights from the genome of the biotrophic fungal plant pathogen Ustilago maydis.

          Ustilago maydis is a ubiquitous pathogen of maize and a well-established model organism for the study of plant-microbe interactions. This basidiomycete fungus does not use aggressive virulence strategies to kill its host. U. maydis belongs to the group of biotrophic parasites (the smuts) that depend on living tissue for proliferation and development. Here we report the genome sequence for a member of this economically important group of biotrophic fungi. The 20.5-million-base U. maydis genome assembly contains 6,902 predicted protein-encoding genes and lacks pathogenicity signatures found in the genomes of aggressive pathogenic fungi, for example a battery of cell-wall-degrading enzymes. However, we detected unexpected genomic features responsible for the pathogenicity of this organism. Specifically, we found 12 clusters of genes encoding small secreted proteins with unknown function. A significant fraction of these genes exists in small gene families. Expression analysis showed that most of the genes contained in these clusters are regulated together and induced in infected tissue. Deletion of individual clusters altered the virulence of U. maydis in five cases, ranging from a complete lack of symptoms to hypervirulence. Despite years of research into the mechanism of pathogenicity in U. maydis, no 'true' virulence factors had been previously identified. Thus, the discovery of the secreted protein gene clusters and the functional demonstration of their decisive role in the infection process illuminate previously unknown mechanisms of pathogenicity operating in biotrophic fungi. Genomic analysis is, similarly, likely to open up new avenues for the discovery of virulence determinants in other pathogens.
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            GOEAST: a web-based software toolkit for Gene Ontology enrichment analysis

            Gene Ontology (GO) analysis has become a commonly used approach for functional studies of large-scale genomic or transcriptomic data. Although there have been a lot of software with GO-related analysis functions, new tools are still needed to meet the requirements for data generated by newly developed technologies or for advanced analysis purpose. Here, we present a Gene Ontology Enrichment Analysis Software Toolkit (GOEAST), an easy-to-use web-based toolkit that identifies statistically overrepresented GO terms within given gene sets. Compared with available GO analysis tools, GOEAST has the following improved features: (i) GOEAST displays enriched GO terms in graphical format according to their relationships in the hierarchical tree of each GO category (biological process, molecular function and cellular component), therefore, provides better understanding of the correlations among enriched GO terms; (ii) GOEAST supports analysis for data from various sources (probe or probe set IDs of Affymetrix, Illumina, Agilent or customized microarrays, as well as different gene identifiers) and multiple species (about 60 prokaryote and eukaryote species); (iii) One unique feature of GOEAST is to allow cross comparison of the GO enrichment status of multiple experiments to identify functional correlations among them. GOEAST also provides rigorous statistical tests to enhance the reliability of analysis results. GOEAST is freely accessible at http://omicslab.genetics.ac.cn/GOEAST/
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              A ten-minute DNA preparation from yeast efficiently releases autonomous plasmids for transformation of Escherichia coli.

              A procedure for the rapid isolation of DNA from the yeast Saccharomyces cerevisiae is described. To release plasmid DNA for the transformation of Escherichia coli, cells are subjected to vortex mixing in the presence of acid-washed glass beads, Triton X-100, sodium dodecyl sulfate, phenol and chloroform. Centrifugation of this mixture separates the DNA from cellular debris. E. coli can be efficiently transformed with plasmid present in the aqueous layer without further purification of the plasmid DNA. This procedure also releases chromosomal DNA. Following two ethanol precipitations, the chromosomal DNA can be digested by restriction endonucleases and analysed by Southern blot analysis.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS Pathog
                PLoS Pathog
                plos
                plospath
                PLoS Pathogens
                Public Library of Science (San Francisco, USA )
                1553-7366
                1553-7374
                July 2014
                3 July 2014
                : 10
                : 7
                : e1003866
                Affiliations
                [1]Max Planck Institute for Terrestrial Microbiology, Department of Organismic Interactions, Marburg, Germany
                Purdue University, United States of America
                Author notes

                The authors have declared that no competing interests exist.

                Conceived and designed the experiments: TB ST NN GD RK. Performed the experiments: TB ST NN GD VV. Analyzed the data: TB ST NN GD RK. Contributed reagents/materials/analysis tools: TB ST NN GD VV RK. Wrote the paper: TB ST NN GD RK.

                [¤]

                Current address: Comprehensive Biomarker Center GmbH, Heidelberg, Germany

                Article
                PPATHOGENS-D-13-01571
                10.1371/journal.ppat.1003866
                4081774
                24992561
                42901218-b2dc-43e7-9365-e31b719a288d
                Copyright @ 2014

                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
                : 12 June 2013
                : 20 November 2013
                Page count
                Pages: 13
                Funding
                Our work was supported by the Max Planck Society, the Collaborative Research Center SFB593, the Alexander von Humboldt Foundation, and the LOEWE program of the state of Hesse. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Developmental Biology
                Microbial Growth and Development
                Microbiology
                Medical Microbiology
                Microbial Pathogens
                Mycology
                Fungal Reproduction
                Medicine and Health Sciences
                Pathology and Laboratory Medicine
                Pathogenesis
                Host-Pathogen Interactions

                Infectious disease & Microbiology
                Infectious disease & Microbiology

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