The Birth, Evolution and Death of Metabolic Gene Clusters in Fungi
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Supporting Information
Supporting Information Bender et al. 10.1073/pnas.0802779105 Table S1. Species names and calculated numeric values pertaining to Fig. 1 Mitochondrially Nuclear encoded Nuclear encoded Species name encoded methionine, % methionine, % methionine, corrected, % Animals Primates Cebus albifrons 6.76 Cercopithecus aethiops 6.10 Colobus guereza 6.73 Gorilla gorilla 5.46 Homo sapiens 5.49 2.14 2.64 Hylobates lar 5.33 Lemur catta 6.50 Macaca mulatta 5.96 Macaca sylvanus 5.96 Nycticebus coucang 6.07 Pan paniscus 5.46 Pan troglodytes 5.38 Papio hamadryas 5.99 Pongo pygmaeus 5.04 Tarsius bancanus 6.74 Trachypithecus obscurus 6.18 Other mammals Acinonyx jubatus 6.86 Artibeus jamaicensis 6.43 Balaena mysticetus 6.04 Balaenoptera acutorostrata 6.17 Balaenoptera borealis 5.96 Balaenoptera musculus 5.78 Balaenoptera physalus 6.02 Berardius bairdii 6.01 Bos grunniens 7.04 Bos taurus 6.88 2.26 2.70 Canis familiaris 6.54 Capra hircus 6.84 Cavia porcellus 6.41 Ceratotherium simum 6.06 Choloepus didactylus 6.23 Crocidura russula 6.17 Dasypus novemcinctus 7.05 Didelphis virginiana 6.79 Dugong dugon 6.15 Echinops telfairi 6.32 Echinosorex gymnura 6.86 Elephas maximus 6.84 Equus asinus 6.01 Equus caballus 6.07 Erinaceus europaeus 7.34 Eschrichtius robustus 6.15 Eumetopias jubatus 6.77 Felis catus 6.62 Halichoerus grypus 6.46 Hemiechinus auritus 6.83 Herpestes javanicus 6.70 Hippopotamus amphibius 6.50 Hyperoodon ampullatus 6.04 Inia geoffrensis 6.20 Bender et al. www.pnas.org/cgi/content/short/0802779105 1of10 Mitochondrially Nuclear encoded Nuclear encoded Species -
Genome Analysis Reveals Evolutionary Mechanisms of Adaptation in Systemic Dimorphic Fungi 2 3 José F
bioRxiv preprint doi: https://doi.org/10.1101/199596; this version posted October 6, 2017. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. 1 Genome analysis reveals evolutionary mechanisms of adaptation in systemic dimorphic fungi 2 3 José F. Muñoz1, Juan G. McEwen2,3, Oliver K. Clay3,4 , Christina A. Cuomo1* 4 5 1Broad Institute of MIT and Harvard, Cambridge, MA, United States. 6 2 Cellular and Molecular Biology Unit, Corporación para Investigaciones Biológicas, Medellín, Colombia. 7 3 School of Medicine, Universidad de Antioquia, Medellín, Colombia. 8 4 School of Medicine and Health Sciences, Universidad del Rosario, Bogotá, Colombia 9 * [email protected] 10 11 Key Words: Dimorphic fungi, comparative genomics, virulence evolution, Ajellomycetaceae 12 13 ABSTRACT 14 Dimorphic fungal pathogens cause a significant human disease burden and unlike most fungal 15 pathogens affect immunocompetent hosts. Most dimorphic fungi are found in the family 16 Ajellomycetaceae, including the genera Histoplasma, Blastomyces, Paracoccidioides, and the recently 17 described Emergomyces. To examine the origin of virulence and host adaptation in these fungal 18 pathogens, we compared the gene content of classic systemic, opportunistic, and non-pathogenic 19 species, including new genomes for Emmonsia species and two closely non-pathogenic species, 20 Helicocarpus griseus and Polytolypa hystricis. We examined differences in gene content between 21 pathogens and environmental fungi, and found that gene families related to plant degradation, 22 synthesis of secondary metabolites, and amino acid and lipid metabolism are retained in H. -
Pathogenicity Classification of Fungi Status December 2014 (CGM/141218-03)
Classification of Organisms: Pathogenicity classification of fungi Status December 2014 (CGM/141218-03) COGEM advice CGM/141218-03 Pathogenicity classification of fungi COGEM advice CGM/141218-03 Dutch Regulations Genetically Modified Organisms In the Decree on Genetically Modified Organisms (GMO Decree) and its accompanying more detailed Regulations (GMO Regulations) genetically modified micro-organisms are grouped in four pathogenicity classes, ranging from the lowest pathogenicity Class 1 to the highest Class 4.1 The pathogenicity classifications are used to determine the containment level for working in laboratories with GMOs. A micro-organism of Class 1 should at least comply with one of the following conditions: a) the micro-organism does not belong to a species of which representatives are known to be pathogenic for humans, animals or plants, b) the micro-organism has a long history of safe use under conditions without specific containment measures, c) the micro-organism belongs to a species that includes representatives of class 2, 3 or 4, but the particular strain does not contain genetic material that is responsible for the virulence, d) the micro-organism has been shown to be non-virulent through adequate tests. A micro-organism is grouped in Class 2 when it can cause a disease in humans or animals whereby it is unlikely to spread within the population while an effective prophylaxis, treatment or control strategy exists, as well as an organism that can cause a disease in plants. A micro-organism is grouped in Class 3 when it can cause a serious disease in humans or animals whereby it is likely to spread within the population while an effective prophylaxis, treatment or control strategy exists. -
The Phylogeny of Plant and Animal Pathogens in the Ascomycota
Physiological and Molecular Plant Pathology (2001) 59, 165±187 doi:10.1006/pmpp.2001.0355, available online at http://www.idealibrary.com on MINI-REVIEW The phylogeny of plant and animal pathogens in the Ascomycota MARY L. BERBEE* Department of Botany, University of British Columbia, 6270 University Blvd, Vancouver, BC V6T 1Z4, Canada (Accepted for publication August 2001) What makes a fungus pathogenic? In this review, phylogenetic inference is used to speculate on the evolution of plant and animal pathogens in the fungal Phylum Ascomycota. A phylogeny is presented using 297 18S ribosomal DNA sequences from GenBank and it is shown that most known plant pathogens are concentrated in four classes in the Ascomycota. Animal pathogens are also concentrated, but in two ascomycete classes that contain few, if any, plant pathogens. Rather than appearing as a constant character of a class, the ability to cause disease in plants and animals was gained and lost repeatedly. The genes that code for some traits involved in pathogenicity or virulence have been cloned and characterized, and so the evolutionary relationships of a few of the genes for enzymes and toxins known to play roles in diseases were explored. In general, these genes are too narrowly distributed and too recent in origin to explain the broad patterns of origin of pathogens. Co-evolution could potentially be part of an explanation for phylogenetic patterns of pathogenesis. Robust phylogenies not only of the fungi, but also of host plants and animals are becoming available, allowing for critical analysis of the nature of co-evolutionary warfare. Host animals, particularly human hosts have had little obvious eect on fungal evolution and most cases of fungal disease in humans appear to represent an evolutionary dead end for the fungus. -
Novel Taxa of Thermally Dimorphic Systemic Pathogens in the Ajellomycetaceae (Onygenales)
This item is the archived peer-reviewed author-version of: Novel taxa of thermally dimorphic systemic pathogens in the Ajellomycetaceae (Onygenales) Reference: Dukik Karolina, Munoz Jose F., Jiang Yanping, Feng Peiying, Sigler Lynne, Stielow J. Benjamin, Freeke Joanna, Jamalian Azadeh, van den Ende Bert Gerrits, McEw en Juan G., ....- Novel taxa of thermally dimorphic systemic pathogens in the Ajellomycetaceae (Onygenales) Mycoses: diagnosis, therapy and prophylaxis of fungal diseases - ISSN 0933-7407 - 60:5(2017), p. 296-309 Full text (Publisher's DOI): https://doi.org/10.1111/MYC.12601 To cite this reference: https://hdl.handle.net/10067/1436700151162165141 Institutional repository IRUA HHS Public Access Author manuscript Author ManuscriptAuthor Manuscript Author Mycoses Manuscript Author . Author manuscript; Manuscript Author available in PMC 2018 January 20. Published in final edited form as: Mycoses. 2017 May ; 60(5): 296–309. doi:10.1111/myc.12601. Novel taxa of thermally dimorphic systemic pathogens in the Ajellomycetaceae (Onygenales) Karolina Dukik1,2,#, Jose F. Muñoz3,4,5,#, Yanping Jiang1,6,*, Peiying Feng1,7, Lynne Sigler8, J. Benjamin Stielow1,9, Joanna Freeke1,9, Azadeh Jamalian1,9, Bert Gerrits van den Ende1, Juan G. McEwen4,10, Oliver K. Clay4,11, Ilan S. Schwartz12,13, Nelesh P. Govender14,15, Tsidiso G. Maphanga15, Christina A. Cuomo3, Leandro Moreno1,2,16, Chris Kenyon14,17, Andrew M. Borman18, and Sybren de Hoog1,2,* 1CBS-KNAW Fungal Biodiversity Centre, Utrecht, The Netherlands 2Institute for Biodiversity and Ecosystem -
25 Chrysosporium
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Universidade do Minho: RepositoriUM 25 Chrysosporium Dongyou Liu and R.R.M. Paterson contents 25.1 Introduction ..................................................................................................................................................................... 197 25.1.1 Classification and Morphology ............................................................................................................................ 197 25.1.2 Clinical Features .................................................................................................................................................. 198 25.1.3 Diagnosis ............................................................................................................................................................. 199 25.2 Methods ........................................................................................................................................................................... 199 25.2.1 Sample Preparation .............................................................................................................................................. 199 25.2.2 Detection Procedures ........................................................................................................................................... 199 25.3 Conclusion .......................................................................................................................................................................200 -
A Higher-Level Phylogenetic Classification of the Fungi
mycological research 111 (2007) 509–547 available at www.sciencedirect.com journal homepage: www.elsevier.com/locate/mycres A higher-level phylogenetic classification of the Fungi David S. HIBBETTa,*, Manfred BINDERa, Joseph F. BISCHOFFb, Meredith BLACKWELLc, Paul F. CANNONd, Ove E. ERIKSSONe, Sabine HUHNDORFf, Timothy JAMESg, Paul M. KIRKd, Robert LU¨ CKINGf, H. THORSTEN LUMBSCHf, Franc¸ois LUTZONIg, P. Brandon MATHENYa, David J. MCLAUGHLINh, Martha J. POWELLi, Scott REDHEAD j, Conrad L. SCHOCHk, Joseph W. SPATAFORAk, Joost A. STALPERSl, Rytas VILGALYSg, M. Catherine AIMEm, Andre´ APTROOTn, Robert BAUERo, Dominik BEGEROWp, Gerald L. BENNYq, Lisa A. CASTLEBURYm, Pedro W. CROUSl, Yu-Cheng DAIr, Walter GAMSl, David M. GEISERs, Gareth W. GRIFFITHt,Ce´cile GUEIDANg, David L. HAWKSWORTHu, Geir HESTMARKv, Kentaro HOSAKAw, Richard A. HUMBERx, Kevin D. HYDEy, Joseph E. IRONSIDEt, Urmas KO˜ LJALGz, Cletus P. KURTZMANaa, Karl-Henrik LARSSONab, Robert LICHTWARDTac, Joyce LONGCOREad, Jolanta MIA˛ DLIKOWSKAg, Andrew MILLERae, Jean-Marc MONCALVOaf, Sharon MOZLEY-STANDRIDGEag, Franz OBERWINKLERo, Erast PARMASTOah, Vale´rie REEBg, Jack D. ROGERSai, Claude ROUXaj, Leif RYVARDENak, Jose´ Paulo SAMPAIOal, Arthur SCHU¨ ßLERam, Junta SUGIYAMAan, R. Greg THORNao, Leif TIBELLap, Wendy A. UNTEREINERaq, Christopher WALKERar, Zheng WANGa, Alex WEIRas, Michael WEISSo, Merlin M. WHITEat, Katarina WINKAe, Yi-Jian YAOau, Ning ZHANGav aBiology Department, Clark University, Worcester, MA 01610, USA bNational Library of Medicine, National Center for Biotechnology Information, -
SYSTEMATICS of DIVISION ASCOMYCOTA 1 Group
References: Kirk PM, Cannon PF, Minter DW, Stalpers JA. 2008. Dictionary of the Fungi (10th ed.). Wallingford, UK: CABI. Webster, J., & Weber, R. (2007). Introduction to fungi. Cambridge, UK: Cambridge University Press. Url1.: https://en.wikipedia.org/wiki/Ascomycota SYSTEMATICS OF DIVISION ASCOMYCOTA 1 Group: Plectomycetes Plectomycetes is an artificial group of Ascomycota and it originally contained all Ascomycete fungi which produce their asci within a cleistothecium. Plectomycetes can be defined by the following set of characters; Cleistothecium or gymnothecium is usually present, ascogenous hyphae are usually not conspicuous, asci are scattered throughout the cleistothecium, asci are mostly globose and thin-walled, and the ascospores are released passively after disintegration of the ascus wall, not by active discharge, ascospores are small, unicellular and usually spherical or ovoid, conidia are commonly produced from phialides or as arthroconidia. Class: Eurotiomycetes Most members of the class produce an enclosed structure cleistothecium within which they produce their spores. It contains 10 order, 27 families 280 genus and about 3400 species. Order: Onygenales Onygenales members are able to digest keratin and because of this have become dominant organisms in environments where keratin is available. The most members have colorless cleistothecia and ascospores. The spherical to egg-shaped asci are always uniformly packed in the centrum and may be dispersed among hyphal elements. The ascospores are always single-celled (example: Chrysosporium, Microsporum and Trichophyton). Order: Eurotiales Most members of the order have phialidic asexual stages belonging to the genera Aspergillus and Penicillium or, less commonly, to Paecilomyces or even simpler types. Rarely there is no anamorph at all. -
25 Chrysosporium
25 Chrysosporium Dongyou Liu and R.R.M. Paterson contents 25.1 Introduction ..................................................................................................................................................................... 197 25.1.1 Classification and Morphology ............................................................................................................................ 197 25.1.2 Clinical Features .................................................................................................................................................. 198 25.1.3 Diagnosis ............................................................................................................................................................. 199 25.2 Methods ........................................................................................................................................................................... 199 25.2.1 Sample Preparation .............................................................................................................................................. 199 25.2.2 Detection Procedures ........................................................................................................................................... 199 25.3 Conclusion .......................................................................................................................................................................200 References .................................................................................................................................................................................200 -
Orthologous Promoters from Related Methylotrophic Yeasts Surpass
Vogl et al. AMB Expr (2020) 10:38 https://doi.org/10.1186/s13568-020-00972-1 ORIGINAL ARTICLE Open Access Orthologous promoters from related methylotrophic yeasts surpass expression of endogenous promoters of Pichia pastoris Thomas Vogl1,2 , Jasmin Elgin Fischer1†, Patrick Hyden1†, Richard Wasmayer1†, Lukas Sturmberger1 and Anton Glieder1* Abstract Methylotrophic yeasts such as Komagataella phafi (syn. Pichia pastoris, Pp), Hansenula polymorpha (Hp), Candida boidinii (Cb) and Pichia methanolica (Pm) are widely used protein production platforms. Typically, strong, tightly regulated promoters of genes coding for their methanol utilization (MUT) pathways are used to drive heterologous gene expression. Despite highly similar open reading frames in the MUT pathways of the four yeasts, the regulation of the respective promoters varies strongly between species. While most endogenous Pp MUT promoters remain tightly repressed after depletion of a repressing carbon, Hp, Cb and Pm MUT promoters are derepressed to up to 70% of methanol induced levels, enabling methanol free production processes in their respective host background. Here, we have tested a series of orthologous promoters from Hp, Cb and Pm in Pp. Unexpectedly, when induced with metha- nol, the promoter of the HpMOX gene reached very similar expression levels as the strong methanol, inducible, and most frequently used promoter of the Pp alcohol oxidase 1 gene (PPpAOX1). The HpFMD promoter even surpassed PPpAOX1 up to three-fold, when induced with methanol, and reached under methanol-free/derepressed conditions similar expression as the methanol induced PPpAOX1. These results demonstrate that orthologous promoters from related yeast species can give access to otherwise unobtainable regulatory profles and may even considerably surpass endogenous promoters in P. -
Phylogenomic and Comparative Analysis of the Distribution And
www.nature.com/scientificreports OPEN Phylogenomic and comparative analysis of the distribution and regulatory patterns of TPP Received: 25 August 2017 Accepted: 20 March 2018 riboswitches in fungi Published: xx xx xxxx Sumit Mukherjee1, Matan Drory Retwitzer2, Danny Barash2 & Supratim Sengupta 1 Riboswitches are metabolite or ion sensing cis-regulatory elements that regulate the expression of the associated genes involved in biosynthesis or transport of the corresponding metabolite. Among the nearly 40 diferent classes of riboswitches discovered in bacteria so far, only the TPP riboswitch has also been found in algae, plants, and in fungi where their presence has been experimentally validated in a few instances. We analyzed all the available complete fungal and related genomes and identifed TPP riboswitch-based regulation systems in 138 fungi and 15 oomycetes. We fnd that TPP riboswitches are most abundant in Ascomycota and Basidiomycota where they regulate TPP biosynthesis and/ or transporter genes. Many of these transporter genes were found to contain conserved domains consistent with nucleoside, urea and amino acid transporter gene families. The genomic location of TPP riboswitches when correlated with the intron structure of the regulated genes enabled prediction of the precise regulation mechanism employed by each riboswitch. Our comprehensive analysis of TPP riboswitches in fungi provides insights about the phylogenomic distribution, regulatory patterns and functioning mechanisms of TPP riboswitches across diverse fungal species and provides a useful resource that will enhance the understanding of RNA-based gene regulation in eukaryotes. Riboswitches are conserved non-coding structural RNA sensors that bind specifc metabolites and regulate gene expression1–4. A riboswitch is mainly composed of two domains; a highly conserved aptamer domain, which is responsible for binding of metabolites, and the expression platform that changes conformation on metabolite binding and regulates the expression of associated genes2. -
BMC Evolutionary Biology Biomed Central
BMC Evolutionary Biology BioMed Central Research article Open Access A fungal phylogeny based on 82 complete genomes using the composition vector method Hao Wang1, Zhao Xu1, Lei Gao2 and Bailin Hao*1,3,4 Address: 1T-life Research Center, Department of Physics, Fudan University, Shanghai 200433, PR China, 2Department of Botany & Plant Sciences, University of California, Riverside, CA(92521), USA, 3Institute of Theoretical Physics, Academia Sinica, Beijing 100190, PR China and 4Santa Fe Institute, Santa Fe, NM(87501), USA Email: Hao Wang - [email protected]; Zhao Xu - [email protected]; Lei Gao - [email protected]; Bailin Hao* - [email protected] * Corresponding author Published: 10 August 2009 Received: 30 September 2008 Accepted: 10 August 2009 BMC Evolutionary Biology 2009, 9:195 doi:10.1186/1471-2148-9-195 This article is available from: http://www.biomedcentral.com/1471-2148/9/195 © 2009 Wang et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Abstract Background: Molecular phylogenetics and phylogenomics have greatly revised and enriched the fungal systematics in the last two decades. Most of the analyses have been performed by comparing single or multiple orthologous gene regions. Sequence alignment has always been an essential element in tree construction. These alignment-based methods (to be called the standard methods hereafter) need independent verification in order to put the fungal Tree of Life (TOL) on a secure footing.