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Table S1 - the Species Examined in This Work and Their Classification

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Table S1 - The species examined in this work and their classification. Phylum Classification Ascomycota Ajellomyces, Onygenales, Ajellomycetaceae Arthrobotrys oligospora, Orbiliales, Orbiliaceae Arthroderma (Trichophyton), Onygenales, Arthrodermataceae Aspergillus (Neosartorya), Eurotiales, Trichocomaceae Botryotinia fuckeliana, Helotiales, Sclerotiniaceae Ceratocystis, Ceratocystidaceae, Microascales Chaetomium, Sordariales, Chaetomiaceae Coccidioides, Onygenales, Onygenaceae Cochliobolus lunatus, Pleosporales, Pleosporaceae Cordyceps militaris, Hypocreales, Clavicipitaceae Fusarium (Gibberella, Nectria), Hypocreales, Nectriaceae Glomerella, Glomerellales, Glomerellaceae Leptosphaeria, Pleosporales, Leptosphaeriaceae Magnaporthe oryzae, Magnaporthales, Magnaporthaceae Metarhizium, Hypocreales, Clavicipitaceae Monacrosporium cionopagum, Orbiliales, Orbiliaceae Mycosphaerella graminicola, Capnodiales, Mycosphaerellaceae Neurospora crassa, Sordariales, Sordariaceae Penicillium (Talaromyces), Eurotiales, Trichocomaceae Podospora anserine, Polyporales, Fomitopsidaceae Pyrenophora, Pleosporales, Pleosporaceae Sclerotinia sclerotiorum, Helotiales, Sclerotiniaceae Sordaria macrospore, Sordariales, Sordariaceae Thielavia, Sordariales, Chaetomiaceae Trichoderma (Hypocrea), Hypocreales, Hypocreaceae Tuber melanosporum, Pezizales, Tuberaceae Uncinocarpus reesii, Onygenales, Onygenaceae Basidiomycota Coprinopsis cinerea, Agaricales; Psathyrellaceae Laccaria bicolor, Agaricales, Hydnangiaceae Moniliophthora perniciosa, Agaricales, Marasmiaceae Postia placenta, Polyporales, Fomitopsidaceae Schizophyllum commune, Agaricales, Schizophyllaceae Serpula lacrymans, Boletales, Serpulaceae Taiwanofungus camphorates, Polyporales, Coriolaceae Table S2 - Hydrophobicity of the putative amino acids from the sequences in group IV. GenBank accession no. of the genes XM_001591342 CCD42656 XM_002372112 XM_003048347 AFQF01003174 AFQF01004521 GL985072 CP003006 XM_001227411 XM_955172.1 GL891307 XM_955170 XM_003042519 AFQF01003703 GL988040 CP003011 GL698514 GL698736 24 1.644 15 -0.278 18 2.156 20 1.256 20 0.522 19 0.900 22 1.333 19 0.489 19 0.922 21 0.900 20 1.267 20 1.189 33 -2.022 21 -0.911 19 0.356 20 0.367 155 0.056 32 0.400 25 1.133 16 -0.356 19 2.200 21 0.333 21 0.056 20 -0.022 23 1.233 20 -0.011 20 0.533 22 1.111 21 1.311 21 1.233 34 -1.622 22 -1.211 20 0.300 21 0.067 156 -0.722 33 -0.378 26 1.778 17 0.022 20 1.911 22 -0.178 22 -0.800 21 -0.533 24 0.811 21 -0.656 21 -0.111 23 0.333 22 0.889 22 0.811 35 -1.033 23 -0.511 21 0.300 22 -0.200 157 -0.722 34 -0.722 27 1.189 18 0.011 21 0.989 23 -0.178 23 -0.800 22 -0.244 25 1.189 22 -0.922 22 -0.667 24 -0.256 23 0.478 23 0.400 36 -0.611 24 -0.156 22 0.367 23 0.222 158 -1.022 35 -1.022 28 0.600 19 -0.578 22 0.744 24 -0.467 24 -1.044 23 -0.533 26 0.678 23 -1.511 23 -1.011 25 -0.556 24 0.189 24 0.156 37 -0.289 25 -0.244 23 -0.011 24 -0.156 159 -0.722 36 -1.300 29 0.311 20 -0.578 23 0.467 25 -0.422 25 -1.089 24 -0.578 27 0.689 24 -0.911 24 -0.411 26 -0.656 25 -0.400 25 -0.433 38 -0.256 26 -0.211 24 -0.567 25 -0.711 160 -1.089 37 -1.667 30 0.700 21 -0.022 24 0.500 26 -0.333 26 -0.711 25 -0.578 28 0.956 25 -0.978 25 -0.978 27 -1.244 26 -0.667 26 -0.989 39 -0.556 27 -0.556 25 -0.522 26 -1.011 161 -1.633 38 -2.211 31 1.289 22 0.533 25 0.200 27 -0.633 27 -1.222 26 -1.089 29 0.667 26 -0.567 26 -0.567 28 -1.244 27 -0.667 27 -0.911 40 -0.311 28 -0.600 26 -0.567 27 -0.600 162 -1.056 39 -1.633 32 1.000 23 0.522 26 0.333 28 -0.922 28 -0.544 27 -0.411 30 0.700 27 -0.611 27 -0.611 29 -1.800 28 -0.289 28 -0.778 41 0.078 29 -0.667 27 -0.633 28 -0.667 163 -0.978 40 -1.556 33 1.000 24 1.411 27 0.367 29 -0.278 29 -0.122 28 0.011 31 0.200 28 -1.200 28 -1.200 30 -1.256 29 0.389 29 -0.100 42 -0.478 30 -1.222 28 -1.222 29 -1.222 164 -0.344 41 -0.922 34 1.011 25 0.911 28 -0.178 30 0.144 30 -0.256 29 0.333 32 0.200 29 -0.656 29 -0.622 31 -1.122 30 -0.156 30 -0.644 43 -0.467 31 -1.211 29 -1.211 30 -1.211 165 0.078 42 -0.500 35 0.367 26 0.533 29 -0.267 31 0.011 31 -0.222 30 -0.122 33 0.344 30 -0.522 30 -0.489 32 -0.300 31 0.167 31 -0.322 44 -0.756 32 -1.500 30 -1.500 31 -1.500 166 0.289 43 -0.289 36 0.100 27 0.267 30 -0.122 32 -0.256 32 -0.522 31 -0.122 34 -0.244 31 0.300 31 0.333 44 -0.767 32 0.311 32 -0.178 45 -0.178 33 -0.922 31 -0.956 32 -0.956 167 0.322 44 -0.256 37 0.100 28 0.267 31 -0.467 33 -0.556 33 -0.867 32 -0.422 35 -0.589 43 -0.767 46 -0.511 45 -0.433 33 0.011 33 -0.522 46 -0.044 34 -0.789 32 -0.822 33 -0.822 168 -0.567 45 -0.567 38 -0.200 29 -0.044 32 -0.778 34 -0.900 34 -0.922 33 -0.478 36 -0.656 44 -0.433 47 -0.522 46 -1.111 34 -0.033 34 -0.567 47 0.778 35 0.033 33 0.000 34 0.000 169 -0.567 46 -0.567 39 -0.200 30 -0.200 33 -0.878 35 -0.956 35 -1.211 34 -0.767 37 -1.211 45 -1.111 48 0.333 47 -0.811 35 -0.378 35 -0.622 59 -0.800 47 -0.767 45 -0.767 46 -0.767 170 -0.633 47 -0.633 hydrophobicity 40 -0.789 31 -0.756 34 -1.167 36 -1.244 36 -1.211 35 -0.767 38 -1.211 46 -0.511 49 0.444 48 -0.822 36 -0.967 36 -1.211 60 -0.467 48 -0.433 46 -0.433 47 -0.433 171 -1.222 48 -1.222 their 41 -0.789 32 -0.756 35 -1.211 37 -1.244 37 -1.800 36 -1.356 39 -1.800 47 -0.233 50 0.256 49 0.033 37 -1.256 37 -1.256 61 -1.111 49 -1.078 47 -1.078 48 -1.111 172 -1.211 49 -1.211 42 -1.344 33 -1.344 36 -1.800 38 -1.800 38 -1.222 37 -0.778 40 -1.256 48 0.622 51 -0.333 50 0.144 38 -1.844 38 -1.844 62 -1.111 50 -0.833 48 -1.078 49 -0.800 173 -1.500 50 -1.500 43 -0.767 34 -0.767 37 -1.256 39 -1.222 39 -1.089 38 -0.989 41 -1.122 49 0.733 52 -0.578 51 -0.044 39 -1.300 39 -1.300 63 -1.122 51 -0.844 49 -1.089 50 -0.811 174 -0.922 51 -0.922 44 -0.633 35 -0.633 38 -1.122 40 -1.089 40 -0.267 39 -0.022 42 -0.300 50 0.544 53 0.022 52 -0.633 40 -1.167 40 -1.167 64 -0.267 52 0.011 50 -0.233 51 0.044 175 -0.789 52 -0.789 45 0.189 36 0.189 39 -0.300 41 -0.267 52 -0.767 51 -0.767 54 0.089 51 -0.044 54 0.478 53 -0.878 41 -0.344 41 -0.344 65 -0.156 53 0.122 51 -0.122 52 0.156 176 0.033 53 0.033 57 -0.122 48 -0.122 51 -0.767 53 -0.767 53 -0.433 52 -0.433 55 -0.433 52 -0.289 55 0.733 54 -0.278 56 -0.233 47 1.222 66 -0.344 54 -0.100 52 -0.344 53 -0.033 188 -0.767 65 -0.767 Number ofthe putative and amino acids 58 -0.433 49 -0.433 52 -0.433 54 -0.433 54 -1.111 53 -1.111 56 -1.111 53 0.311 56 0.322 55 0.178 57 -0.533 48 1.256 67 -0.622 55 -0.689 53 -0.933 54 -0.622 189 -0.433 66 -0.433 59 -1.111 50 -1.111 53 -1.111 55 -1.111 55 -0.767 54 -1.111 57 -0.811 54 0.767 56 0.733 58 0.322 49 0.911 68 -0.867 56 -0.933 54 -1.178 55 -0.867 190 -1.111 67 -1.111 60 -0.811 51 -0.811 54 -0.811 56 -0.767 56 -0.778 55 -0.611 58 -0.911 55 1.022 57 0.433 59 0.433 50 -0.056 69 -0.267 57 -0.333 55 -0.578 56 -0.267 191 -1.111 68 -1.111 61 -0.822 52 -0.822 55 -0.533 57 -0.778 57 0.078 56 0.244 59 -0.700 56 0.322 60 0.244 51 -0.011 70 0.189 58 0.122 56 -0.122 57 0.189 192 -1.122 69 -1.122 62 -0.611 53 -0.611 56 0.322 58 0.078 58 0.189 57 0.700 60 -0.589 61 -0.344 52 0.233 71 1.078 59 0.733 57 0.733 58 0.733 193 -0.267 70 -0.267 63 -0.500 54 -0.500 57 0.433 59 0.189 59 0.000 58 0.511 61 -0.778 62 -0.589 53 -0.189 72 1.367 60 1.022 58 0.389 59 0.733 194 -0.156 71 -0.156 64 -0.689 55 -0.689 58 0.244 60 0.000 60 -0.589 59 -0.078 62 -1.367 63 0.011 54 0.144 195 -0.344 72 -0.344 65 -0.933 56 -0.933 59 -0.344 61 -0.589 61 -0.833 60 -0.322 63 -1.611 64 0.467 55 -0.533 196 -0.933 73 -0.933 66 -0.589 57 -1.178 60 -0.589 62 -0.833 62 -0.233 61 0.278 64 -1.089 65 1.022 56 -0.233 197 -1.178 74 -1.178 67 -0.567 58 -1.156 61 0.011 63 -0.233 63 0.222 62 0.733 65 -0.633 66 0.322 57 -0.533 198 -0.578 75 -0.578 68 -0.178 59 -0.767 62 0.467 64 0.222 64 0.733 63 1.622 66 -0.078 58 0.322 199 -0.122 76 -0.122 69 0.189 60 -0.400 63 1.022 65 0.733 65 0.389 64 0.811 67 -0.289 59 0.433 200 0.733 77 0.733 70 0.744 61 0.156 64 0.389 66 0.389 60 0.244 201 0.733 78 0.733 71 0.422 62 -0.100 61 -0.344 Table S3 - The secondary structure and surface-interior prediction of the putative amino acids of the sequences in group IV.
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  • Re-Thinking the Classification of Corticioid Fungi

    Re-Thinking the Classification of Corticioid Fungi

    mycological research 111 (2007) 1040–1063 journal homepage: www.elsevier.com/locate/mycres Re-thinking the classification of corticioid fungi Karl-Henrik LARSSON Go¨teborg University, Department of Plant and Environmental Sciences, Box 461, SE 405 30 Go¨teborg, Sweden article info abstract Article history: Corticioid fungi are basidiomycetes with effused basidiomata, a smooth, merulioid or Received 30 November 2005 hydnoid hymenophore, and holobasidia. These fungi used to be classified as a single Received in revised form family, Corticiaceae, but molecular phylogenetic analyses have shown that corticioid fungi 29 June 2007 are distributed among all major clades within Agaricomycetes. There is a relative consensus Accepted 7 August 2007 concerning the higher order classification of basidiomycetes down to order. This paper Published online 16 August 2007 presents a phylogenetic classification for corticioid fungi at the family level. Fifty putative Corresponding Editor: families were identified from published phylogenies and preliminary analyses of unpub- Scott LaGreca lished sequence data. A dataset with 178 terminal taxa was compiled and subjected to phy- logenetic analyses using MP and Bayesian inference. From the analyses, 41 strongly Keywords: supported and three unsupported clades were identified. These clades are treated as fam- Agaricomycetes ilies in a Linnean hierarchical classification and each family is briefly described. Three ad- Basidiomycota ditional families not covered by the phylogenetic analyses are also included in the Molecular systematics classification. All accepted corticioid genera are either referred to one of the families or Phylogeny listed as incertae sedis. Taxonomy ª 2007 The British Mycological Society. Published by Elsevier Ltd. All rights reserved. Introduction develop a downward-facing basidioma.
  • Distribution of Building-Associated Wood-Destroying Fungi in the Federal

    Distribution of Building-Associated Wood-Destroying Fungi in the Federal

    European Journal of Wood and Wood Products https://doi.org/10.1007/s00107-019-01407-w ORIGINAL Distribution of building‑associated wood‑destroying fungi in the federal state of Styria, Austria Doris Haas1 · Helmut Mayrhofer2 · Juliana Habib1 · Herbert Galler1 · Franz Ferdinand Reinthaler1 · Maria Luise Fuxjäger3 · Walter Buzina1 Received: 20 September 2018 © The Author(s) 2019 Abstract Wood is an important construction material, but when used incorrectly it can be subjected to deterioration by wood-destroying fungi. The brown rot producing dry rot fungus (Serpula lacrymans) is by far the most dangerous wood-destroying fungus in Europe. In the present publication, 645 fungal samples from damaged wood in the federal state of Styria (Austria) were examined and recorded by isolation date, geographical location, species identifcation of the wood-destroying fungus, loca- tion of damage, construction method, and age and type of building. In Styria, Serpula spp. accounted for 61.5% of damages, followed by Antrodia spp. (10.7%) and the genera Gloeophyllum (8.2%), Coniophora (3.9%) and Donkioporia (1.1%). Properties in the area of the Styrian capital Graz and old buildings were more often infested by wood-destroying fungi than houses in the rural area and new constructions. 1 Introduction the cellar fungus (Coniophora puteana), Antrodia spp. and other wood-destroying fungi can cause severe damage to Wood rot is the degradation of wood by the destruction of buildings and potentially cause human injuries. Some wood- organic materials caused by fungi. This process is predomi- destroying fungi can penetrate even masonry and are able to nantly afected by temperature and moisture as well as the translocate water and nutrition over long distances.
  • The Fungus That Came in from the Cold: Dry Rot's Pre-Adapted Ability To

    The Fungus That Came in from the Cold: Dry Rot's Pre-Adapted Ability To

    1 The fungus that came in from the cold: Dry rot’s pre-adapted ability to invade 2 buildings 3 S.V. Balasundaram1, J. Hess1, M. B. Durling2, S. C. Moody3, L. Thorbek1, C. Progida1, K. 4 LaButti4, A. Aerts4, K. Barry4, I. V. Grigoriev4, L. Boddy5, N. Högberg2, H. Kauserud1, D. C. 5 Eastwood3, I. Skrede1* 6 7 1Department of Biosciences, University of Oslo, Oslo, Norway; 2Department of Forest 8 Mycology, Swedish Agricultural University, Uppsala, Sweden; 3Department of Biosciences, 9 Swansea University, Swansea, UK; 4 United States Department of Energy Joint Genome 10 Institute, Walnut Creek, CA, USA; 5School of Biosciences, Cardiff University, Cardiff, UK; 11 12 13 Correspondence and request for materials should be addressed to I.S. 14 ([email protected]) 15 16 17 18 19 20 1 21 Abstract 22 Many organisms benefit from being pre-adapted to niches shaped by human activity, and 23 have successfully invaded man-made habitats. One such species is the dry-rot fungus Serpula 24 lacrymans, which has a wide distribution in buildings in temperate and boreal regions, where 25 it decomposes coniferous construction wood. Comparative genomic analyses and growth 26 experiments using this species and its wild relatives revealed that S. lacrymans evolved a 27 very effective brown rot decay compared to its wild relatives, enabling an extremely rapid 28 decay in buildings under suitable conditions. Adaptations in intracellular transport 29 machineries promoting hyphal growth, and nutrient and water transport may explain why it is 30 has become a successful invader of timber in houses. Further, we demonstrate that S.