View on the Systematic Relationships Between Portalia, the New Smut Genus Here Proposed, and Several Related Smut Fungi Such As Cintractia S
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Why Mushrooms Have Evolved to Be So Promiscuous: Insights from Evolutionary and Ecological Patterns
fungal biology reviews 29 (2015) 167e178 journal homepage: www.elsevier.com/locate/fbr Review Why mushrooms have evolved to be so promiscuous: Insights from evolutionary and ecological patterns Timothy Y. JAMES* Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48109, USA article info abstract Article history: Agaricomycetes, the mushrooms, are considered to have a promiscuous mating system, Received 27 May 2015 because most populations have a large number of mating types. This diversity of mating Received in revised form types ensures a high outcrossing efficiency, the probability of encountering a compatible 17 October 2015 mate when mating at random, because nearly every homokaryotic genotype is compatible Accepted 23 October 2015 with every other. Here I summarize the data from mating type surveys and genetic analysis of mating type loci and ask what evolutionary and ecological factors have promoted pro- Keywords: miscuity. Outcrossing efficiency is equally high in both bipolar and tetrapolar species Genomic conflict with a median value of 0.967 in Agaricomycetes. The sessile nature of the homokaryotic Homeodomain mycelium coupled with frequent long distance dispersal could account for selection favor- Outbreeding potential ing a high outcrossing efficiency as opportunities for choosing mates may be minimal. Pheromone receptor Consistent with a role of mating type in mediating cytoplasmic-nuclear genomic conflict, Agaricomycetes have evolved away from a haploid yeast phase towards hyphal fusions that display reciprocal nuclear migration after mating rather than cytoplasmic fusion. Importantly, the evolution of this mating behavior is precisely timed with the onset of diversification of mating type alleles at the pheromone/receptor mating type loci that are known to control reciprocal nuclear migration during mating. -
Axpcoords & Parallel Axparafit: Statistical Co-Phylogenetic Analyses
BMC Bioinformatics BioMed Central Software Open Access AxPcoords & parallel AxParafit: statistical co-phylogenetic analyses on thousands of taxa Alexandros Stamatakis*1,2, Alexander F Auch3, Jan Meier-Kolthoff3 and Markus Göker4 Address: 1École Polytechnique Fédérale de Lausanne, School of Computer & Communication Sciences, Laboratory for Computational Biology and Bioinformatics STATION 14, CH-1015 Lausanne, Switzerland, 2Swiss Institute of Bioinformatics, 3Center for Bioinformatics (ZBIT), Sand 14, Tübingen, University of Tübingen, Germany and 4Organismic Botany/Mycology, Auf der Morgenstelle 1, Tübingen, University of Tübingen, Germany Email: Alexandros Stamatakis* - [email protected]; Alexander F Auch - [email protected]; Jan Meier- Kolthoff - [email protected]; Markus Göker - [email protected] * Corresponding author Published: 22 October 2007 Received: 26 June 2007 Accepted: 22 October 2007 BMC Bioinformatics 2007, 8:405 doi:10.1186/1471-2105-8-405 This article is available from: http://www.biomedcentral.com/1471-2105/8/405 © 2007 Stamatakis 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: Current tools for Co-phylogenetic analyses are not able to cope with the continuous accumulation of phylogenetic data. The sophisticated statistical test for host-parasite co-phylogenetic analyses implemented in Parafit does not allow it to handle large datasets in reasonable times. The Parafit and DistPCoA programs are the by far most compute-intensive components of the Parafit analysis pipeline. -
<I>Tilletia Indica</I>
ISPM 27 27 ANNEX 4 ENG DP 4: Tilletia indica Mitra INTERNATIONAL STANDARD FOR PHYTOSANITARY MEASURES PHYTOSANITARY FOR STANDARD INTERNATIONAL DIAGNOSTIC PROTOCOLS Produced by the Secretariat of the International Plant Protection Convention (IPPC) This page is intentionally left blank This diagnostic protocol was adopted by the Standards Committee on behalf of the Commission on Phytosanitary Measures in January 2014. The annex is a prescriptive part of ISPM 27. ISPM 27 Diagnostic protocols for regulated pests DP 4: Tilletia indica Mitra Adopted 2014; published 2016 CONTENTS 1. Pest Information ............................................................................................................................... 2 2. Taxonomic Information .................................................................................................................... 2 3. Detection ........................................................................................................................................... 2 3.1 Examination of seeds/grain ............................................................................................... 3 3.2 Extraction of teliospores from seeds/grain, size-selective sieve wash test ....................... 3 4. Identification ..................................................................................................................................... 4 4.1 Morphology of teliospores ................................................................................................ 4 4.1.1 Morphological -
Fungal Planet Description Sheets: 716–784 By: P.W
Fungal Planet description sheets: 716–784 By: P.W. Crous, M.J. Wingfield, T.I. Burgess, G.E.St.J. Hardy, J. Gené, J. Guarro, I.G. Baseia, D. García, L.F.P. Gusmão, C.M. Souza-Motta, R. Thangavel, S. Adamčík, A. Barili, C.W. Barnes, J.D.P. Bezerra, J.J. Bordallo, J.F. Cano-Lira, R.J.V. de Oliveira, E. Ercole, V. Hubka, I. Iturrieta-González, A. Kubátová, M.P. Martín, P.-A. Moreau, A. Morte, M.E. Ordoñez, A. Rodríguez, A.M. Stchigel, A. Vizzini, J. Abdollahzadeh, V.P. Abreu, K. Adamčíková, G.M.R. Albuquerque, A.V. Alexandrova, E. Álvarez Duarte, C. Armstrong-Cho, S. Banniza, R.N. Barbosa, J.-M. Bellanger, J.L. Bezerra, T.S. Cabral, M. Caboň, E. Caicedo, T. Cantillo, A.J. Carnegie, L.T. Carmo, R.F. Castañeda-Ruiz, C.R. Clement, A. Čmoková, L.B. Conceição, R.H.S.F. Cruz, U. Damm, B.D.B. da Silva, G.A. da Silva, R.M.F. da Silva, A.L.C.M. de A. Santiago, L.F. de Oliveira, C.A.F. de Souza, F. Déniel, B. Dima, G. Dong, J. Edwards, C.R. Félix, J. Fournier, T.B. Gibertoni, K. Hosaka, T. Iturriaga, M. Jadan, J.-L. Jany, Ž. Jurjević, M. Kolařík, I. Kušan, M.F. Landell, T.R. Leite Cordeiro, D.X. Lima, M. Loizides, S. Luo, A.R. Machado, H. Madrid, O.M.C. Magalhães, P. Marinho, N. Matočec, A. Mešić, A.N. Miller, O.V. Morozova, R.P. Neves, K. Nonaka, A. Nováková, N.H. -
The Flora Mycologica Iberica Project Fungi Occurrence Dataset
A peer-reviewed open-access journal MycoKeys 15: 59–72 (2016)The Flora Mycologica Iberica Project fungi occurrence dataset 59 doi: 10.3897/mycokeys.15.9765 DATA PAPER MycoKeys http://mycokeys.pensoft.net Launched to accelerate biodiversity research The Flora Mycologica Iberica Project fungi occurrence dataset Francisco Pando1, Margarita Dueñas1, Carlos Lado1, María Teresa Telleria1 1 Real Jardín Botánico-CSIC, Claudio Moyano 1, 28014, Madrid, Spain Corresponding author: Francisco Pando ([email protected]) Academic editor: C. Gueidan | Received 5 July 2016 | Accepted 25 August 2016 | Published 13 September 2016 Citation: Pando F, Dueñas M, Lado C, Telleria MT (2016) The Flora Mycologica Iberica Project fungi occurrence dataset. MycoKeys 15: 59–72. doi: 10.3897/mycokeys.15.9765 Resource citation: Pando F, Dueñas M, Lado C, Telleria MT (2016) Flora Mycologica Iberica Project fungi occurrence dataset. v1.18. Real Jardín Botánico (CSIC). Dataset/Occurrence. http://www.gbif.es/ipt/resource?r=floramicologicaiberi ca&v=1.18, http://doi.org/10.15468/sssx1e Abstract The dataset contains detailed distribution information on several fungal groups. The information has been revised, and in many times compiled, by expert mycologist(s) working on the monographs for the Flora Mycologica Iberica Project (FMI). Records comprise both collection and observational data, obtained from a variety of sources including field work, herbaria, and the literature. The dataset contains 59,235 records, of which 21,393 are georeferenced. These correspond to 2,445 species, grouped in 18 classes. The geographical scope of the dataset is Iberian Peninsula (Continental Portugal and Spain, and Andorra) and Balearic Islands. The complete dataset is available in Darwin Core Archive format via the Global Biodi- versity Information Facility (GBIF). -
Tilletia Indica.Pdf
Podsumowanie Analizy Zagrożenia Agrofagiem (Ekspres PRA) dla Tilletia indica Obszar PRA: Rzeczpospolita Polska Opis obszaru zagrożenia: Obszar całego kraju Główne wnioski Prawdopodobieństwo wniknięcia T. indica na teren PRA jest ściśle związane z importem zakażonego ziarna. Istnieje ryzyko zadomowienia się patogenu na obszarze PRA i wywoływania szkód w produkcji rolnej. W przypadku sprowadzania z miejsc, gdzie występuje choroba konieczne jest prowadzenie działań fitosanitarnych jak kontrola materiału nasiennego lub ziarna przeznaczonego na inne cele. Wskazane jest także zaniechanie importu w przypadku epidemii na nowym terenie lub z rejonów o silnym natężeniu infekcji. Sprowadzanie ziarna produkowanego poza obszarem występowania T. indica nie wymaga podejmowania specjalnych zabiegów fitosanitarnych. Wszelkie sygnały o obecności agrofaga powinny zostać poddane wnikliwej analizie, a zakażone rośliny lub materiał zniszczone. Ze względu na duże zdolności teliospor do przetrwania w niekorzystnych warunkach zwalczanie chemiczne lub płodozmian mogą okazać się nieskuteczne. Ryzyko fitosanitarne dla zagrożonego obszaru (indywidualna ranga prawdopodobieństwa wejścia, Wysokie Średnie X Niskie zadomowienia, rozprzestrzenienia oraz wpływu w tekście dokumentu) Poziom niepewności oceny: (uzasadnienie rangi w punkcie 18. Indywidualne rangi niepewności dla prawdopodobieństwa wejścia, Wysoka Średnia Niska X zadomowienia, rozprzestrzenienia oraz wpływu w tekście) Inne rekomendacje: 1 Ekspresowa Analiza Zagrożenia Agrofagiem: Tilletia indica Przygotowana przez: dr Katarzyna Pieczul, prof. dr hab. Marek Korbas, mgr Jakub Danielewicz, dr Katarzyna Sadowska, mgr Michał Czyż, mgr Magdalena Gawlak, lic. Agata Olejniczak dr Tomasz Kałuski; Instytut Ochrony Roślin – Państwowy Instytut Badawczy, ul. Węgorka 20, 60-318 Poznań. Data: 10.08.2017 Etap 1 Wstęp Powód wykonania PRA: Tilletia indica jest patogenem porażającym pszenicę i pszenżyto oraz potencjalnie niektóre z gatunków traw dziko rosnących. Patogen stwarza realne zagrożenie dla upraw zbóż na obszarze PRA. -
On the Evolutionary History of Uleiella Chilensis, a Smut Fungus Parasite of Araucaria Araucana in South America: Uleiellales Ord
RESEARCH ARTICLE On the Evolutionary History of Uleiella chilensis, a Smut Fungus Parasite of Araucaria araucana in South America: Uleiellales ord. nov. in Ustilaginomycetes Kai Riess1, Max E. Schön1, Matthias Lutz1, Heinz Butin2, Franz Oberwinkler1, Sigisfredo Garnica1* 1 Plant Evolutionary Ecology, Institute of Evolution and Ecology, University of Tübingen, Auf der Morgenstelle 5, 72076, Tübingen, Germany, 2 Am Roten Amte 1 H, 38302, Wolfenbüttel, Germany * [email protected] Abstract The evolutionary history, divergence times and phylogenetic relationships of Uleiella chilen- OPEN ACCESS sis (Ustilaginomycotina, smut fungi) associated with Araucaria araucana were analysed. Citation: Riess K, Schön ME, Lutz M, Butin H, DNA sequences from multiple gene regions and morphology were analysed and compared Oberwinkler F, Garnica S (2016) On the Evolutionary to other members of the Basidiomycota to determine the phylogenetic placement of smut History of Uleiella chilensis, a Smut Fungus Parasite of Araucaria araucana in South America: Uleiellales fungi on gymnosperms. Divergence time estimates indicate that the majority of smut fungal ord. nov. in Ustilaginomycetes. PLoS ONE 11(1): orders diversified during the Triassic–Jurassic period. However, the origin and relationships e0147107. doi:10.1371/journal.pone.0147107 of several orders remain uncertain. The most recent common ancestor between Uleiella chi- Editor: Jonathan H. Badger, National Cancer lensis and Violaceomyces palustris has been dated to the Lower Cretaceous. Comparisons -
Culture Inventory
For queries, contact the SFA leader: John Dunbar - [email protected] Fungal collection Putative ID Count Ascomycota Incertae sedis 4 Ascomycota Incertae sedis 3 Pseudogymnoascus 1 Basidiomycota Incertae sedis 1 Basidiomycota Incertae sedis 1 Capnodiales 29 Cladosporium 27 Mycosphaerella 1 Penidiella 1 Chaetothyriales 2 Exophiala 2 Coniochaetales 75 Coniochaeta 56 Lecythophora 19 Diaporthales 1 Prosthecium sp 1 Dothideales 16 Aureobasidium 16 Dothideomycetes incertae sedis 3 Dothideomycetes incertae sedis 3 Entylomatales 1 Entyloma 1 Eurotiales 393 Arthrinium 2 Aspergillus 172 Eladia 2 Emericella 5 Eurotiales 2 Neosartorya 1 Paecilomyces 13 Penicillium 176 Talaromyces 16 Thermomyces 4 Exobasidiomycetes incertae sedis 7 Tilletiopsis 7 Filobasidiales 53 Cryptococcus 53 Fungi incertae sedis 13 Fungi incertae sedis 12 Veroneae 1 Glomerellales 1 Glomerella 1 Helotiales 34 Geomyces 32 Helotiales 1 Phialocephala 1 Hypocreales 338 Acremonium 20 Bionectria 15 Cosmospora 1 Cylindrocarpon 2 Fusarium 45 Gibberella 1 Hypocrea 12 Ilyonectria 13 Lecanicillium 5 Myrothecium 9 Nectria 1 Pochonia 29 Purpureocillium 3 Sporothrix 1 Stachybotrys 3 Stanjemonium 2 Tolypocladium 1 Tolypocladium 2 Trichocladium 2 Trichoderma 171 Incertae sedis 20 Oidiodendron 20 Mortierellales 97 Massarineae 2 Mortierella 92 Mortierellales 3 Mortiererallales 2 Mortierella 2 Mucorales 109 Absidia 4 Backusella 1 Gongronella 1 Mucor 25 RhiZopus 13 Umbelopsis 60 Zygorhynchus 5 Myrmecridium 2 Myrmecridium 2 Onygenales 4 Auxarthron 3 Myceliophthora 1 Pezizales 2 PeZiZales 1 TerfeZia 1 -
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, -
Fungi Fundamentals What Is Biology? What Is Life? Seven Common Components to All Life Forms
Fungi Fundamentals What is Biology? What is life? Seven common components to all life forms. What are fungi? How do fungi compare to other organisms on the tree of life? What are fungi? • Eukaryotic What are fungi? • Eukaryotic • Multicellular / Filamentous What are fungi? • Eukaryotic • Multicellular / Filamentous • Heterotrophic What are fungi? • Eukaryotic • Multicellular / Filamentous • Heterotrophic • Sessile/non-motile = “Vegetative” What are fungi? • Eukaryotic • Multicellular / Filamentous • Heterotrophic • Sessile/non-motile = “Vegetative” • Reproduce via spores (sexual & asexual) Kingdom Fungi • Eukaryotic • Multicellular / Filamentous • Heterotrophic • Sessile/non-motile = “Vegetative” • Reproduce via spores (sexual & asexual) Kingdom Fungi • Eukaryotic • Multicellular / Filamentous • Heterotrophic hyphae • Sessile/non-motile = “Vegetative” • Reproduce via spores (sexual & asexual) mycelium Kingdom Fungi Symbiotic Fungi • Eukaryotic • Multicellular / Filamentous • Heterotrophic • Sessile/non-motile = “Vegetative” • Reproduce via spores (sexual & asexual) Mycorrhizal mutualists Parasitic / Pathogenic Fungi Decay fungi “saprotrophic” Mycology: Laboratory Homework Fungi Are Everywhere! - Expose Malt Extract Agar Petri dishes to the environment of your home. Overnight. Anywhere you want. - Label plate and seal with parafilm. - Wait 3 days. - Record what grows on days 4-6. Bring back next week! Mycology: Laboratory Homework Fungi Are Everywhere! - Expose Malt Extract Agar Petri dishes to the environment of your home. Overnight. Anywhere you want. - Label plate and seal with parafilm. - Wait 3 days. - Record what grows on days 4-6. Bring back next week! Mycology: Laboratory Homework Growing Mushrooms! - Buy some mushrooms from the grocery store and bring them in next week so we can start growing them. Biological Diversity Species concepts Morphological species concept: species can be differentiated from each other by physical features. Not all mushrooms are alike. -
Diversity and Roles of Mycorrhizal Fungi in the Bee Orchid Ophrys Apifera
Diversity and Roles of Mycorrhizal Fungi in the Bee Orchid Ophrys apifera By Wazeera Rashid Abdullah April 2018 A Thesis submitted to the University of Liverpool in fulfilment of the requirement for the degree of Doctor in Philosophy Table of Contents Page No. Acknowledgements ............................................................................................................. xiv Abbreviations ............................................................................ Error! Bookmark not defined. Abstract ................................................................................................................................... 2 1 Chapter one: Literature review: ........................................................................................ 3 1.1 Mycorrhiza: .................................................................................................................... 3 1.1.1Arbuscular mycorrhiza (AM) or Vesicular-arbuscular mycorrhiza (VAM): ........... 5 1.1.2 Ectomycorrhiza: ...................................................................................................... 5 1.1.3 Ectendomycorrhiza: ................................................................................................ 6 1.1.4 Ericoid mycorrhiza, Arbutoid mycorrhiza, and Monotropoid mycorrhiza: ............ 6 1.1.5 Orchid mycorrhiza: ................................................................................................. 7 1.1.5.1 Orchid mycorrhizal interaction: ...................................................................... -
Sequencing Abstracts Msa Annual Meeting Berkeley, California 7-11 August 2016
M S A 2 0 1 6 SEQUENCING ABSTRACTS MSA ANNUAL MEETING BERKELEY, CALIFORNIA 7-11 AUGUST 2016 MSA Special Addresses Presidential Address Kerry O’Donnell MSA President 2015–2016 Who do you love? Karling Lecture Arturo Casadevall Johns Hopkins Bloomberg School of Public Health Thoughts on virulence, melanin and the rise of mammals Workshops Nomenclature UNITE Student Workshop on Professional Development Abstracts for Symposia, Contributed formats for downloading and using locally or in a Talks, and Poster Sessions arranged by range of applications (e.g. QIIME, Mothur, SCATA). 4. Analysis tools - UNITE provides variety of analysis last name of primary author. Presenting tools including, for example, massBLASTer for author in *bold. blasting hundreds of sequences in one batch, ITSx for detecting and extracting ITS1 and ITS2 regions of ITS 1. UNITE - Unified system for the DNA based sequences from environmental communities, or fungal species linked to the classification ATOSH for assigning your unknown sequences to *Abarenkov, Kessy (1), Kõljalg, Urmas (1,2), SHs. 5. Custom search functions and unique views to Nilsson, R. Henrik (3), Taylor, Andy F. S. (4), fungal barcode sequences - these include extended Larsson, Karl-Hnerik (5), UNITE Community (6) search filters (e.g. source, locality, habitat, traits) for 1.Natural History Museum, University of Tartu, sequences and SHs, interactive maps and graphs, and Vanemuise 46, Tartu 51014; 2.Institute of Ecology views to the largest unidentified sequence clusters and Earth Sciences, University of Tartu, Lai 40, Tartu formed by sequences from multiple independent 51005, Estonia; 3.Department of Biological and ecological studies, and for which no metadata Environmental Sciences, University of Gothenburg, currently exists.