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      Comparative Analysis of Secretome Profiles of Manganese(II)-Oxidizing Ascomycete Fungi

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          Abstract

          Fungal secretomes contain a wide range of hydrolytic and oxidative enzymes, including cellulases, hemicellulases, pectinases, and lignin-degrading accessory enzymes, that synergistically drive litter decomposition in the environment. While secretome studies of model organisms such as Phanerochaete chrysosporium and Aspergillus species have greatly expanded our knowledge of these enzymes, few have extended secretome characterization to environmental isolates or conducted side-by-side comparisons of diverse species. Thus, the mechanisms of carbon degradation by many ubiquitous soil fungi remain poorly understood. Here we use a combination of LC-MS/MS, genomic, and bioinformatic analyses to characterize and compare the protein composition of the secretomes of four recently isolated, cosmopolitan, Mn(II)-oxidizing Ascomycetes ( Alternaria alternata SRC1lrK2f, Stagonospora sp. SRC1lsM3a, Pyrenochaeta sp. DS3sAY3a, and Paraconiothyrium sporulosum AP3s5-JAC2a). We demonstrate that the organisms produce a rich yet functionally similar suite of extracellular enzymes, with species-specific differences in secretome composition arising from unique amino acid sequences rather than overall protein function. Furthermore, we identify not only a wide range of carbohydrate-active enzymes that can directly oxidize recalcitrant carbon, but also an impressive suite of redox-active accessory enzymes that suggests a role for Fenton-based hydroxyl radical formation in indirect, non-specific lignocellulose attack. Our findings highlight the diverse oxidative capacity of these environmental isolates and enhance our understanding of the role of filamentous Ascomycetes in carbon turnover in the environment.

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          Most cited references40

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          Biodegradation and biological treatments of cellulose, hemicellulose and lignin: an overview.

          In nature, cellulose, lignocellulose and lignin are major sources of plant biomass; therefore, their recycling is indispensable for the carbon cycle. Each polymer is degraded by a variety of microorganisms which produce a battery of enzymes that work synergically. In the near future, processes that use lignocellulolytic enzymes or are based on microorganisms could lead to new, environmentally friendly technologies. This study reviews recent advances in the various biological treatments that can turn these three lignicellulose biopolymers into alternative fuels. In addition, biotechnological innovations based on natural delignification and applied to pulp and paper manufacture are also outlined.
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            Reversed-phase chromatography with multiple fraction concatenation strategy for proteome profiling of human MCF10A cells.

            In this study, we evaluated a concatenated low pH (pH 3) and high pH (pH 10) reversed-phase liquid chromatography strategy as a first dimension for two-dimensional liquid chromatography tandem mass spectrometry ("shotgun") proteomic analysis of trypsin-digested human MCF10A cell sample. Compared with the more traditional strong cation exchange method, the use of concatenated high pH reversed-phase liquid chromatography as a first-dimension fractionation strategy resulted in 1.8- and 1.6-fold increases in the number of peptide and protein identifications (with two or more unique peptides), respectively. In addition to broader identifications, advantages of the concatenated high pH fractionation approach include improved protein sequence coverage, simplified sample processing, and reduced sample losses. The results demonstrate that the concatenated high pH reversed-phased strategy is an attractive alternative to strong cation exchange for two-dimensional shotgun proteomic analysis. Copyright © 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
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              Target-decoy search strategy for mass spectrometry-based proteomics.

              Accurate and precise methods for estimating incorrect peptide and protein identifications are crucial for effective large-scale proteome analyses by tandem mass spectrometry. The target-decoy search strategy has emerged as a simple, effective tool for generating such estimations. This strategy is based on the premise that obvious, necessarily incorrect "decoy" sequences added to the search space will correspond with incorrect search results that might otherwise be deemed to be correct. With this knowledge, it is possible not only to estimate how many incorrect results are in a final data set but also to use decoy hits to guide the design of filtering criteria that sensitively partition a data set into correct and incorrect identifications.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                19 July 2016
                2016
                : 11
                : 7
                : e0157844
                Affiliations
                [1 ]School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, United States of America
                [2 ]Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington, United States of America
                [3 ]Biological Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington, United States of America
                [4 ]Department of Mineral Sciences, National Museum of Natural History, Smithsonian Institution, Washington, DC, United States of America
                [5 ]U.S. Department of Energy Joint Genome Institute, Walnut Creek, California, United States of America
                [6 ]Architecture et Fonction des Macromolécules Biologiques, UMR7257, Centre National de la Recherche Scientifique and Aix-Marseille Université, 13288 Marseille Cedex 9, France
                [7 ]Department of Biological Sciences, King Abdulaziz University, P.O. Box 80203, Jeddah, 21589, Saudi Arabia
                [8 ]Department of Earth Sciences, University of Minnesota, Minneapolis, Minnesota, United States of America
                [9 ]Department of Marine Chemistry and Geochemistry, Woods Hole Oceanographic Institution, Woods Hole, Massachusetts, United States of America
                Georg-August-University of Göttingen Institute of Microbiology & Genetics, GERMANY
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: CAZ LP-T SW CMS CMH. Performed the experiments: CAZ SOP EMZ DLC SH KL IVG CMS. Analyzed the data: CAZ SOP SH KL IVG BH CMS CMH. Wrote the paper: CAZ SOP EMZ LP-T DLC SH SW IVG CMS CMH.

                [¤a]

                Current Address: Department of Biology, Boston University, Boston, Massachusetts, United States of America

                [¤b]

                Current Address: Department of Chemistry and Biochemistry, University of Oklahoma, Norman, Oklahoma, United States of America

                Article
                PONE-D-16-08372
                10.1371/journal.pone.0157844
                4951024
                27434633
                d48d6357-233d-4311-98fe-a329a93b0e66

                This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.

                History
                : 26 February 2016
                : 6 June 2016
                Page count
                Figures: 6, Tables: 3, Pages: 28
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/100000001, National Science Foundation;
                Award ID: EAR-1249489
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100000001, National Science Foundation;
                Award ID: CBET-1336496
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100000015, U.S. Department of Energy;
                Award ID: JGI-EMSL Collaborative Science Initiative grant (proposal number 48100)
                Award Recipient :
                Funded by: Harvard University (US)
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100000010, Ford Foundation;
                Award ID: Predoctoral Fellowship
                Award Recipient :
                This work was supported by the National Science Foundation ( www.nsf.gov), grant numbers EAR-1249489 and CBET-1336496, both awarded to CMH. Personal support for CAZ was also provided by Harvard University ( www.harvard.edu) and by a Ford Foundation ( www.fordfoundation.org) Predoctoral Fellowship administered by the National Academies. 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
                Organisms
                Fungi
                Biology and Life Sciences
                Genetics
                Fungal Genetics
                Fungal Genomics
                Biology and Life Sciences
                Mycology
                Fungal Genetics
                Fungal Genomics
                Biology and Life Sciences
                Genetics
                Genomics
                Fungal Genomics
                Biology and Life Sciences
                Biochemistry
                Enzymology
                Enzymes
                Proteases
                Biology and Life Sciences
                Biochemistry
                Proteins
                Enzymes
                Proteases
                Biology and Life Sciences
                Organisms
                Fungi
                Ascomycetes
                Research and Analysis Methods
                Database and Informatics Methods
                Biological Databases
                Genomic Databases
                Biology and Life Sciences
                Computational Biology
                Genome Analysis
                Genomic Databases
                Biology and Life Sciences
                Genetics
                Genomics
                Genome Analysis
                Genomic Databases
                Biology and Life Sciences
                Plant Science
                Plant Pathology
                Plant Pathogens
                Plant Fungal Pathogens
                Biology and Life Sciences
                Computational Biology
                Genome Analysis
                Biology and Life Sciences
                Genetics
                Genomics
                Genome Analysis
                Biology and Life Sciences
                Organisms
                Fungi
                Basidiomycetes
                Custom metadata
                The genome sequences and annotations for the 4 fungi in this study are available at the JGI fungal genomics resource MycoCosm at http://genome.jgi.doe.gov/programs/fungi/index.jsf; genomes are identified in MycoCosm as Altal1 (A. alternata), Parsp1 (P. sporulosum), Pyrsp1 (Pyrenochaeta sp.), and Stasp1 (Stagonospora sp.). Genome assemblies and annotations were also deposited at DDBJ/ENA/GenBank under the following accession numbers: LXPP00000000 (A. alternata), LXPO00000000 (P. sporulosum), LXSZ00000000 (Pyrenochaeta sp.), and LXTA00000000 (Stagonospora sp.). The versions described in this paper are LXPP01000000, LXPO01000000, LXSZ01000000, and LXTA01000000, respectively. All other relevant data are contained within the paper and its Supporting Information Files.

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