49
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Whole Genome and Global Gene Expression Analyses of the Model Mushroom Flammulina velutipes Reveal a High Capacity for Lignocellulose Degradation

      research-article

      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

          Flammulina velutipes is a fungus with health and medicinal benefits that has been used for consumption and cultivation in East Asia. F. velutipes is also known to degrade lignocellulose and produce ethanol. The overlapping interests of mushroom production and wood bioconversion make F. velutipes an attractive new model for fungal wood related studies. Here, we present the complete sequence of the F. velutipes genome. This is the first sequenced genome for a commercially produced edible mushroom that also degrades wood. The 35.6-Mb genome contained 12,218 predicted protein-encoding genes and 287 tRNA genes assembled into 11 scaffolds corresponding with the 11 chromosomes of strain KACC42780. The 88.4-kb mitochondrial genome contained 35 genes. Well-developed wood degrading machinery with strong potential for lignin degradation (69 auxiliary activities, formerly FOLymes) and carbohydrate degradation (392 CAZymes), along with 58 alcohol dehydrogenase genes were highly expressed in the mycelium, demonstrating the potential application of this organism to bioethanol production. Thus, the newly uncovered wood degrading capacity and sequential nature of this process in F. velutipes, offer interesting possibilities for more detailed studies on either lignin or (hemi-) cellulose degradation in complex wood substrates. The mutual interest in wood degradation by the mushroom industry and (ligno-)cellulose biomass related industries further increase the significance of F. velutipes as a new model.

          Related collections

          Most cited references59

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

          Gene Ontology: tool for the unification of biology

          Genomic sequencing has made it clear that a large fraction of the genes specifying the core biological functions are shared by all eukaryotes. Knowledge of the biological role of such shared proteins in one organism can often be transferred to other organisms. The goal of the Gene Ontology Consortium is to produce a dynamic, controlled vocabulary that can be applied to all eukaryotes even as knowledge of gene and protein roles in cells is accumulating and changing. To this end, three independent ontologies accessible on the World-Wide Web (http://www.geneontology.org) are being constructed: biological process, molecular function and cellular component.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            Expansion of the enzymatic repertoire of the CAZy database to integrate auxiliary redox enzymes

            Background Since its inception, the carbohydrate-active enzymes database (CAZy; http://www.cazy.org) has described the families of enzymes that cleave or build complex carbohydrates, namely the glycoside hydrolases (GH), the polysaccharide lyases (PL), the carbohydrate esterases (CE), the glycosyltransferases (GT) and their appended non-catalytic carbohydrate-binding modules (CBM). The recent discovery that members of families CBM33 and family GH61 are in fact lytic polysaccharide monooxygenases (LPMO), demands a reclassification of these families into a suitable category. Results Because lignin is invariably found together with polysaccharides in the plant cell wall and because lignin fragments are likely to act in concert with (LPMO), we have decided to join the families of lignin degradation enzymes to the LPMO families and launch a new CAZy class that we name “Auxiliary Activities” in order to accommodate a range of enzyme mechanisms and substrates related to lignocellulose conversion. Comparative analyses of these auxiliary activities in 41 fungal genomes reveal a pertinent division of several fungal groups and subgroups combining their phylogenetic origin and their nutritional mode (white vs. brown rot). Conclusions The new class introduced in the CAZy database extends the traditional CAZy families, and provides a better coverage of the full extent of the lignocellulose breakdown machinery.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              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.
                Bookmark

                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2014
                8 April 2014
                : 9
                : 4
                : e93560
                Affiliations
                [1 ]Department of Biomedical Chemistry, Konkuk University, Chung-Ju, Republic of Korea
                [2 ]Macrogen Inc., Seoul, Republic of Korea
                [3 ]Department of Life Sciences and Biotechnology, Kyungpook National University, Daegu, Republic of Korea
                [4 ]Graduate School of Biotechnology and Information Technology, Hankyong National University, Ansung, Republic of Korea
                [5 ]Department of Pharmaceutical Engineering, Sangji University, Wonju, Republic of Korea
                [6 ]National Academy of Agricultural Science, Rural Development Administration, Suwon, Republic of Korea
                [7 ]Mushroom Research Division, National Institute of Horticultural and Herbal Science, Rural Development Administration, Eumsung, Republic of Korea
                [8 ]Genomic Medicine Institute (GMI), Medical Research Center, Seoul National University, Seoul, Republic of Korea
                AIT Austrian Institute of Technology GmbH, Austria
                Author notes

                Competing Interests: The authors have the following interests: Jeong Hun Baek, Seonwook Lee, Changhoon Kim, Hwanseok Rhee, Hyungtae Kim and Jeong-Sun Seo are employed by Macrogen Inc. There are no patents, products in development or marketed products to declare. This does not alter the authors’ adherence to all the PLOS ONE policies on sharing data and materials, as detailed online in the guide for authors.

                Conceived and designed the experiments: YJP BML WSK. Performed the experiments: YJP HRP JYN HIK CSL HY ESS HWK JYC YBY. Analyzed the data: JSS SL HK JHB YJP CK HR JGK. Contributed reagents/materials/analysis tools: DEY JYN HIK GHS. Wrote the paper: YJP WSK.

                Article
                PONE-D-13-48067
                10.1371/journal.pone.0093560
                3979922
                24714189
                9efa73bf-42bf-4263-8a2b-6523a3d0ab89
                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
                : 15 November 2013
                : 7 March 2014
                Page count
                Pages: 14
                Funding
                This work was supported by a grant from the next generation Biogreen 21 Program (Grant number PJ008216), Rural Development Administration, Republic of Korea. 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
                Agriculture
                Crops
                Biochemistry
                Plant Biochemistry
                Biotechnology
                Plant Biotechnology
                Plant Genomics
                Computational Biology
                Genome Analysis
                Transcriptome Analysis
                Genome Expression Analysis
                Genetics
                Genomics
                Structural Genomics
                Molecular Biology
                Molecular Biology Techniques
                Sequencing Techniques
                Genome Sequencing
                Plant Science
                Engineering and Technology
                Energy and Power
                Fuels
                Biofuels
                Bioalcohols
                Research and Analysis Methods
                Model Organisms
                Plant and Algal Models

                Uncategorized
                Uncategorized

                Comments

                Comment on this article