Leaf-Associated Shifts in Bacterial and Fungal Communities in Response to Chicken Rearing Under Moso Bamboo Forests in Subtropical China
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Bacterial Community Structure in High-Arctic Snow and Freshwater As Revealed by Pyrosequencing of 16S Rrna Genes and Cultivation Annette K
RESEARCH/REVIEW ARTICLE Bacterial community structure in High-Arctic snow and freshwater as revealed by pyrosequencing of 16S rRNA genes and cultivation Annette K. Møller,1 Ditte A. Søborg,1 Waleed Abu Al-Soud,2 Søren J. Sørensen2 & Niels Kroer1 1 Department of Environmental Science, Aarhus University, Frederiksborgvej 399, DK-4000 Roskilde, Denmark 2 Department of Biology, University of Copenhagen, Sølvgade 83H, DK-1307 K Copenhagen, Denmark Keywords Abstract Taxonomic diversity; microbial assemblages; bacterial density; DOC. The bacterial community structures in High-Arctic snow over sea ice and an ice-covered freshwater lake were examined by pyrosequencing of 16S rRNA Correspondence genes and 16S rRNA gene sequencing of cultivated isolates. Both the Niels Kroer, pyrosequence and cultivation data indicated that the phylogenetic composition Department of Environmental Science, of the microbial assemblages was different within the snow layers and between Aarhus University, snow and freshwater. The highest diversity was seen in snow. In the middle Frederiksborgvej 399, and top snow layers, , and dominated, DK-4000 Roskilde, Denmark. Proteobacteria Bacteroidetes Cyanobacteria E-mail: [email protected] although Actinobacteria and Firmicutes were relatively abundant also. High numbers of chloroplasts were also observed. In the deepest snow layer, large percentages of Firmicutes and Fusobacteria were seen. In freshwater, Bacter- oidetes, Actinobacteria and Verrucomicrobia were the most abundant phyla while relatively few Proteobacteria and Cyanobacteria were present. Possibly, light intensity controlled the distribution of the Cyanobacteria and algae in the snow while carbon and nitrogen fixed by these autotrophs in turn fed the heterotrophic bacteria. In the lake, a probable lower light input relative to snow resulted in low numbers of Cyanobacteria and chloroplasts and, hence, limited input of organic carbon and nitrogen to the heterotrophic bacteria. -
Within-Arctic Horizontal Gene Transfer As a Driver of Convergent Evolution in Distantly Related 2 Microalgae
bioRxiv preprint doi: https://doi.org/10.1101/2021.07.31.454568; this version posted August 2, 2021. 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-NC-ND 4.0 International license. 1 Within-Arctic horizontal gene transfer as a driver of convergent evolution in distantly related 2 microalgae 3 Richard G. Dorrell*+1,2, Alan Kuo3*, Zoltan Füssy4, Elisabeth Richardson5,6, Asaf Salamov3, Nikola 4 Zarevski,1,2,7 Nastasia J. Freyria8, Federico M. Ibarbalz1,2,9, Jerry Jenkins3,10, Juan Jose Pierella 5 Karlusich1,2, Andrei Stecca Steindorff3, Robyn E. Edgar8, Lori Handley10, Kathleen Lail3, Anna Lipzen3, 6 Vincent Lombard11, John McFarlane5, Charlotte Nef1,2, Anna M.G. Novák Vanclová1,2, Yi Peng3, Chris 7 Plott10, Marianne Potvin8, Fabio Rocha Jimenez Vieira1,2, Kerrie Barry3, Joel B. Dacks5, Colomban de 8 Vargas2,12, Bernard Henrissat11,13, Eric Pelletier2,14, Jeremy Schmutz3,10, Patrick Wincker2,14, Chris 9 Bowler1,2, Igor V. Grigoriev3,15, and Connie Lovejoy+8 10 11 1 Institut de Biologie de l'ENS (IBENS), Département de Biologie, École Normale Supérieure, CNRS, 12 INSERM, Université PSL, 75005 Paris, France 13 2CNRS Research Federation for the study of Global Ocean Systems Ecology and Evolution, 14 FR2022/Tara Oceans GOSEE, 3 rue Michel-Ange, 75016 Paris, France 15 3 US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, 1 16 Cyclotron Road, Berkeley, -
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. -
The Two-Domain Tree of Life Is Linked to a New Root for the Archaea
The two-domain tree of life is linked to a new root for the Archaea Kasie Raymanna, Céline Brochier-Armanetb, and Simonetta Gribaldoa,1 aInstitut Pasteur, Department of Microbiology, Unit Biologie Moléculaire du Gène chez les Extrêmophiles, 75015 Paris, France; and bUniversité de Lyon, Université Lyon 1, CNRS, UMR5558, Laboratoire de Biométrie et Biologie Evolutive, 69622 Villeurbanne, France Edited by W. Ford Doolittle, Dalhousie University, Halifax, NS, Canada, and approved April 17, 2015 (received for review November 02, 2014) One of the most fundamental questions in evolutionary biology is restricted taxonomic sampling, notably for the outgroup, may also the origin of the lineage leading to eukaryotes. Recent phyloge- generate or mask potential tree reconstruction artifacts (16). All nomic analyses have indicated an emergence of eukaryotes from these considerations emphasize that we have not yet found a way within the radiation of modern Archaea and specifically from a group out of the phylogenomic impasse caused by the use of universal comprising Thaumarchaeota/“Aigarchaeota” (candidate phylum)/ trees to investigate the relationships among Archaea and eu- Crenarchaeota/Korarchaeota (TACK). Despite their major im- karyotes (12). plications, these studies were all based on the reconstruction of Here, we have applied an original two-step strategy that we universal trees and left the exact placement of eukaryotes with re- proposed a few years ago which involves separately analyzing the spect to the TACK lineage unclear. Here we have applied an original markers shared between Archaea and eukaryotes and between two-step approach that involves the separate analysis of markers Archaea and Bacteria (12). This strategy allowed us to use a larger shared between Archaea and eukaryotes and between Archaea and taxonomic sampling, more markers and thus more positions, have Bacteria. -
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 -
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. -
Fungal Phyla
ZOBODAT - www.zobodat.at Zoologisch-Botanische Datenbank/Zoological-Botanical Database Digitale Literatur/Digital Literature Zeitschrift/Journal: Sydowia Jahr/Year: 1984 Band/Volume: 37 Autor(en)/Author(s): Arx Josef Adolf, von Artikel/Article: Fungal phyla. 1-5 ©Verlag Ferdinand Berger & Söhne Ges.m.b.H., Horn, Austria, download unter www.biologiezentrum.at Fungal phyla J. A. von ARX Centraalbureau voor Schimmelcultures, P. O. B. 273, NL-3740 AG Baarn, The Netherlands 40 years ago I learned from my teacher E. GÄUMANN at Zürich, that the fungi represent a monophyletic group of plants which have algal ancestors. The Myxomycetes were excluded from the fungi and grouped with the amoebae. GÄUMANN (1964) and KREISEL (1969) excluded the Oomycetes from the Mycota and connected them with the golden and brown algae. One of the first taxonomist to consider the fungi to represent several phyla (divisions with unknown ancestors) was WHITTAKER (1969). He distinguished phyla such as Myxomycota, Chytridiomycota, Zygomy- cota, Ascomycota and Basidiomycota. He also connected the Oomycota with the Pyrrophyta — Chrysophyta —• Phaeophyta. The classification proposed by WHITTAKER in the meanwhile is accepted, e. g. by MÜLLER & LOEFFLER (1982) in the newest edition of their text-book "Mykologie". The oldest fungal preparation I have seen came from fossil plant material from the Carboniferous Period and was about 300 million years old. The structures could not be identified, and may have been an ascomycete or a basidiomycete. It must have been a parasite, because some deformations had been caused, and it may have been an ancestor of Taphrina (Ascomycota) or of Milesina (Uredinales, Basidiomycota). -
Across Bacterial Phyla, Distantly-Related Genomes with Similar Genomic GC Content Have Similar Patterns of Amino Acid Usage
University of South Carolina Scholar Commons Faculty Publications Biological Sciences, Department of 3-10-2011 Across Bacterial Phyla, Distantly-Related Genomes with Similar Genomic GC Content Have Similar Patterns of Amino Acid Usage John Lightfield Noah R. Fram Bert Ely University of South Carolina - Columbia, [email protected] Follow this and additional works at: https://scholarcommons.sc.edu/biol_facpub Part of the Biology Commons Publication Info Published in PLoS ONE, Volume 6, Issue 3, 2011, pages e17677-. © 2011 Lightfield et al. 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. This Article is brought to you by the Biological Sciences, Department of at Scholar Commons. It has been accepted for inclusion in Faculty Publications by an authorized administrator of Scholar Commons. For more information, please contact [email protected]. Across Bacterial Phyla, Distantly-Related Genomes with Similar Genomic GC Content Have Similar Patterns of Amino Acid Usage John Lightfield¤a, Noah R. Fram¤b, Bert Ely* Department of Biological Sciences, University of South Carolina, Columbia, South Carolina, United States of America Abstract The GC content of bacterial genomes ranges from 16% to 75% and wide ranges of genomic GC content are observed within many bacterial phyla, including both Gram negative and Gram positive phyla. Thus, divergent genomic GC content has evolved repeatedly in widely separated bacterial taxa. Since genomic GC content influences codon usage, we examined codon usage patterns and predicted protein amino acid content as a function of genomic GC content within eight different phyla or classes of bacteria. -
Comparative Analyses of Whole-Genome Protein Sequences
www.nature.com/scientificreports OPEN Comparative analyses of whole- genome protein sequences from multiple organisms Received: 7 June 2017 Makio Yokono 1,2, Soichirou Satoh3 & Ayumi Tanaka1 Accepted: 16 April 2018 Phylogenies based on entire genomes are a powerful tool for reconstructing the Tree of Life. Several Published: xx xx xxxx methods have been proposed, most of which employ an alignment-free strategy. Average sequence similarity methods are diferent than most other whole-genome methods, because they are based on local alignments. However, previous average similarity methods fail to reconstruct a correct phylogeny when compared against other whole-genome trees. In this study, we developed a novel average sequence similarity method. Our method correctly reconstructs the phylogenetic tree of in silico evolved E. coli proteomes. We applied the method to reconstruct a whole-proteome phylogeny of 1,087 species from all three domains of life, Bacteria, Archaea, and Eucarya. Our tree was automatically reconstructed without any human decisions, such as the selection of organisms. The tree exhibits a concentric circle-like structure, indicating that all the organisms have similar total branch lengths from their common ancestor. Branching patterns of the members of each phylum of Bacteria and Archaea are largely consistent with previous reports. The topologies are largely consistent with those reconstructed by other methods. These results strongly suggest that this approach has sufcient taxonomic resolution and reliability to infer phylogeny, from phylum to strain, of a wide range of organisms. Te reconstruction of phylogenetic trees is a powerful tool for understanding organismal evolutionary processes. Molecular phylogenetic analysis using ribosomal RNA (rRNA) clarifed the phylogenetic relationship of the three domains, bacterial, archaeal, and eukaryotic1. -
Antibus Revised Thesis 11-16 For
Molecular and Cultivation-based Characterization of Ancient Algal Mats from the McMurdo Dry Valleys, Antarctica A thesis submitted to Kent State University in partial fulfillment of the requirements for the degree of Master of Science by Doug Antibus December, 2009 Thesis written by Doug Antibus B.S., Kent State University, 2007 M.S., Kent State University, 2009 Approved by Dr. Christopher B. Blackwood Advisor Dr. James L. Blank Chair, Department of Biological Sciences Dr. Timothy Moerland Dean, College of Arts and Sciences iii TABLE OF CONTENTS LIST OF TABLES………………………………………………………………………..iv LIST OF FIGURES ……………………………………………………………………...vi ACKNOWLEDGEMENTS…………………………………………………………......viii CHAPTER I: General Introduction……………………………………………………….1 CHAPTER II: Molecular Characterization of Ancient Algal Mats from the McMurdo Dry Valleys, Antarctica: A Legacy of Genetic Diversity Introduction……………………………………………………………....22 Results and Discussion……………………………………………..……27 Methods…………………………………………………………………..51 Literature Cited…………………………………………………………..59 CHAPTER III: Recovery of Viable Bacteria from Ancient Algal Mats from the McMurdo Dry Valleys, Antarctica Introduction………………………………………………..……………..78 Methods…………………………………………………………………..80 Results……………………………………………………………...…….88 Discussion…………………………………………………………...….106 Literature Cited………………………………………………………....109 CHAPTER IV: General Discussion…………………………………………………….120 iii LIST OF TABLES Chapter II: Molecular Characterization of Ancient Algal Mats from the McMurdo Dry Valleys, Antarctica: A Legacy of Genetic Diversity -
Kineococcus Vitellinus Sp. Nov., Kineococcus Indalonis Sp
microorganisms Article Kineococcus vitellinus sp. nov., Kineococcus indalonis sp. nov. and Kineococcus siccus sp. nov., Isolated Nearby the Tabernas Desert (Almería, Spain) Esther Molina-Menor 1, Helena Gimeno-Valero 2, Javier Pascual 2 , Juli Peretó 1,2,3 and Manuel Porcar 1,2,* 1 Institute for Integrative Systems Biology I2SysBio (Universitat de València-CSIC), Calle del Catedràtic Agustin Escardino Benlloch 9, 46980 Paterna, Spain; [email protected] (E.M.-M.); [email protected] (J.P.) 2 Darwin Bioprospecting Excellence SL. Parc Científic Universitat de València, Calle del Catedràtic Agustin Escardino Benlloch 9, 46980 Paterna, Spain; [email protected] (H.G.-V.); [email protected] (J.P.) 3 Departament de Bioquimica i Biologia Molecular, Universitat de València, Calle del Dr. Moliner 50, 46100 Burjassot, Spain * Correspondence: [email protected] Received: 31 August 2020; Accepted: 2 October 2020; Published: 7 October 2020 Abstract: Three novel Gram-positive, aerobic, chemoheterotrophic, motile, non-endospore-forming, orange-pigmented bacteria designated strains T13T, T90T and R8T were isolated from the Tabernas Desert biocrust (Almería, Spain). Cells of the three strains were coccus-shaped and occurred singly, in pairs or clusters. The three strains were oxidase-negative and catalase-positive, and showed a mesophilic, neutrophilic and non-halophilic metabolism. Based on the 16S rRNA gene sequences, the closest neighbours of strains T13T, T90T and R8T were Kineococcus aurantiacus IFO 15268T, Kineococcus gypseus YIM 121300T and Kineococcus radiotolerans SRS 30216T (98.5%, 97.1% and 97.9% gene sequence similarity, respectively). The genomes were sequenced, and have been deposited in the GenBank/EMBL/DDBJ databases under the accession numbers JAAALL000000000, JAAALM000000000 and JAAALN000000000, respectively, for strains T13T, T90T and R8T. -
Human Milk Microbiota Profiles in Relation to Birthing Method, Gestation and Infant Gender Camilla Urbaniak1,2, Michelle Angelini3, Gregory B
Urbaniak et al. Microbiome (2016) 4:1 DOI 10.1186/s40168-015-0145-y RESEARCH Open Access Human milk microbiota profiles in relation to birthing method, gestation and infant gender Camilla Urbaniak1,2, Michelle Angelini3, Gregory B. Gloor4 and Gregor Reid1,2* Abstract Background: Human milk is an important source of bacteria for the developing infant and has been shown to influence the bacterial composition of the neonate, which in turn can affect disease risk later in life. Very little is known about what factors shape the human milk microbiome. The goal of the present study was to examine the milk microbiota from a range of women who delivered vaginally or by caesarean (C) section, who gave birth to males or females, at term or preterm. Methods: Milk was collected from 39 Caucasian Canadian women, and microbial profiles were analyzed by 16S ribosomal RNA (rRNA) sequencing using the Illumina platform. Results: A diverse community of milk bacteria was found with the most dominant phyla being Proteobacteria and Firmicutes and at the genus level, Staphylococcus, Pseudomonas, Streptococcus and Lactobacillus. Comparison of bacterial profiles between preterm and term births, C section (elective and non-elective) and vaginal deliveries, and male and female infants showed no statistically significant differences. Conclusions: The study revealed the diverse bacterial types transferred to newborns. We postulate that there may be a fail-safe mechanism whereby the mother is “ready” to pass along her bacterial imprint irrespective of when and how the baby is born. Keywords: Human milk, Milk microbiota, Factors affecting the milk microbiota Background levels of Bifidobacterium in human milk correlate with With the incidence of various non-infectious diseases on low levels of Bifidobacterium in the neonatal gut [3], the rise, there is much interest in the developmental ori- allowing for higher than normal levels of Bacteroides to gins of health and disease and the potential role of early be established [4].