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      Interspecific Sex in Grass Smuts and the Genetic Diversity of Their Pheromone-Receptor System

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          Abstract

          The grass smuts comprise a speciose group of biotrophic plant parasites, so-called Ustilaginaceae, which are specifically adapted to hosts of sweet grasses, the Poaceae family. Mating takes a central role in their life cycle, as it initiates parasitism by a morphological and physiological transition from saprobic yeast cells to pathogenic filaments. As in other fungi, sexual identity is determined by specific genomic regions encoding allelic variants of a pheromone-receptor (PR) system and heterodimerising transcription factors. Both operate in a biphasic mating process that starts with PR–triggered recognition, directed growth of conjugation hyphae, and plasmogamy of compatible mating partners. So far, studies on the PR system of grass smuts revealed diverse interspecific compatibility and mating type determination. However, many questions concerning the specificity and evolutionary origin of the PR system remain unanswered. Combining comparative genetics and biological approaches, we report on the specificity of the PR system and its genetic diversity in 10 species spanning about 100 million years of mating type evolution. We show that three highly syntenic PR alleles are prevalent among members of the Ustilaginaceae, favouring a triallelic determination as the plesiomorphic characteristic of this group. Furthermore, the analysis of PR loci revealed increased genetic diversity of single PR locus genes compared to genes of flanking regions. Performing interspecies sex tests, we detected a high potential for hybridisation that is directly linked to pheromone signalling as known from intraspecies sex. Although the PR system seems to be optimised for intraspecific compatibility, the observed functional plasticity of the PR system increases the potential for interspecific sex, which might allow the hybrid-based genesis of newly combined host specificities.

          Author Summary

          Sexual reproduction is prevalent among eukaryotes and involves the maintenance of different sexes within reproducing populations. Due to similarities to higher eukaryotes like animals and plants, fungi serve as adequate model systems to study sex determination, mate recognition, and mating type evolution. In fungi, sexual identity is determined by a few genes that reside at specific genomic regions. Those so-called mating type loci encode a pheromone-receptor system and heterodimerising transcription factors. Intensive studies of various model organisms uncovered important aspects of sex in fungi. However, comparative surveys that cover distinct phylogenetic groups within the fungal kingdom are still rare, leaving many questions unanswered about the diversity, specificity, and evolutionary transitions of fungal mating types. Here, we report on mating genetics and the specificity of mate recognition in the plant biotrophic basidiomycete family Ustilaginaceae. In our Ustilaginaceae-wide study, we unravel a conserved triallelic pheromone-receptor system that preserved interspecific sexual compatibility for more than 100 million years and most likely gave rise to the convergent evolution of biallelic mating type determinations. Moreover, our results demonstrate that grass smuts represent a valuable model group to study the hybrid-based genesis of novel genotypes and their evolutionary impact on speciation.

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          Most cited references116

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          SMART, a simple modular architecture research tool: identification of signaling domains.

          Accurate multiple alignments of 86 domains that occur in signaling proteins have been constructed and used to provide a Web-based tool (SMART: simple modular architecture research tool) that allows rapid identification and annotation of signaling domain sequences. The majority of signaling proteins are multidomain in character with a considerable variety of domain combinations known. Comparison with established databases showed that 25% of our domain set could not be deduced from SwissProt and 41% could not be annotated by Pfam. SMART is able to determine the modular architectures of single sequences or genomes; application to the entire yeast genome revealed that at least 6.7% of its genes contain one or more signaling domains, approximately 350 greater than previously annotated. The process of constructing SMART predicted (i) novel domain homologues in unexpected locations such as band 4.1-homologous domains in focal adhesion kinases; (ii) previously unknown domain families, including a citron-homology domain; (iii) putative functions of domain families after identification of additional family members, for example, a ubiquitin-binding role for ubiquitin-associated domains (UBA); (iv) cellular roles for proteins, such predicted DEATH domains in netrin receptors further implicating these molecules in axonal guidance; (v) signaling domains in known disease genes such as SPRY domains in both marenostrin/pyrin and Midline 1; (vi) domains in unexpected phylogenetic contexts such as diacylglycerol kinase homologues in yeast and bacteria; and (vii) likely protein misclassifications exemplified by a predicted pleckstrin homology domain in a Candida albicans protein, previously described as an integrin.
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            Positional effect of single bulge nucleotide on PNA(peptide nucleic acid)/DNA hybrid stability

            We report positional effect of bulge nucleotide on PNA/DNA hybrid stability. CD spectra showed that PNA/DNA hybrids required at least seven base pairings at a stem region to form a bulged structure. On the other hand, DNA/DNA could form bulged structure when there are only four base pairings adjacent to the bulge nucleotide. We discuss why PNA requests such a many base pairings to form bulged structure from a nearest neighbor standpoint.
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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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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS Genet
                plos
                plosgen
                PLoS Genetics
                Public Library of Science (San Francisco, USA )
                1553-7390
                1553-7404
                December 2011
                December 2011
                29 December 2011
                : 7
                : 12
                : e1002436
                Affiliations
                [1 ]Ruhr-Universität Bochum, Geobotany Laboratory, Bochum, Germany
                [2 ]Heinrich-Heine University Düsseldorf, Institute for Microbiology, Düsseldorf, Germany
                Duke University Medical Center, United States of America
                Author notes

                Conceived and designed the experiments: RK EV DB. Performed the experiments: RK EV. Analyzed the data: RK. Contributed reagents/materials/analysis tools: RK EV MF DB. Wrote the paper: RK EV DB MF.

                Article
                PGENETICS-D-11-01919
                10.1371/journal.pgen.1002436
                3248468
                22242007
                1ab978ee-7d0c-4435-a653-fa5623a33c1b
                Kellner 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
                : 3 September 2011
                : 9 November 2011
                Page count
                Pages: 17
                Categories
                Research Article
                Biology
                Ecology
                Biodiversity
                Evolutionary Biology
                Evolutionary Processes
                Coevolution
                Hybridization
                Introgression
                Mutation
                Speciation
                Evolutionary Systematics
                Phylogenetics
                Forms of Evolution
                Coevolution
                Convergent Evolution
                Organismal Evolution
                Microbial Evolution
                Evolutionary Genetics
                Genetics
                Molecular Genetics
                Gene Identification and Analysis
                Microbiology
                Mycology
                Fungal Evolution
                Fungal Physiology
                Fungal Reproduction
                Fungal Structure
                Fungi
                Microbial Pathogens
                Molecular Cell Biology
                Signal Transduction
                Signaling Cascades
                MAPK signaling cascades
                Signaling in Cellular Processes
                G-Protein Signaling

                Genetics
                Genetics

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