Deciphering Biodiversity and Interactions Between Bacteria And
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University of Oklahoma
UNIVERSITY OF OKLAHOMA GRADUATE COLLEGE MACRONUTRIENTS SHAPE MICROBIAL COMMUNITIES, GENE EXPRESSION AND PROTEIN EVOLUTION A DISSERTATION SUBMITTED TO THE GRADUATE FACULTY in partial fulfillment of the requirements for the Degree of DOCTOR OF PHILOSOPHY By JOSHUA THOMAS COOPER Norman, Oklahoma 2017 MACRONUTRIENTS SHAPE MICROBIAL COMMUNITIES, GENE EXPRESSION AND PROTEIN EVOLUTION A DISSERTATION APPROVED FOR THE DEPARTMENT OF MICROBIOLOGY AND PLANT BIOLOGY BY ______________________________ Dr. Boris Wawrik, Chair ______________________________ Dr. J. Phil Gibson ______________________________ Dr. Anne K. Dunn ______________________________ Dr. John Paul Masly ______________________________ Dr. K. David Hambright ii © Copyright by JOSHUA THOMAS COOPER 2017 All Rights Reserved. iii Acknowledgments I would like to thank my two advisors Dr. Boris Wawrik and Dr. J. Phil Gibson for helping me become a better scientist and better educator. I would also like to thank my committee members Dr. Anne K. Dunn, Dr. K. David Hambright, and Dr. J.P. Masly for providing valuable inputs that lead me to carefully consider my research questions. I would also like to thank Dr. J.P. Masly for the opportunity to coauthor a book chapter on the speciation of diatoms. It is still such a privilege that you believed in me and my crazy diatom ideas to form a concise chapter in addition to learn your style of writing has been a benefit to my professional development. I’m also thankful for my first undergraduate research mentor, Dr. Miriam Steinitz-Kannan, now retired from Northern Kentucky University, who was the first to show the amazing wonders of pond scum. Who knew that studying diatoms and algae as an undergraduate would lead me all the way to a Ph.D. -
Protocols for Monitoring Harmful Algal Blooms for Sustainable Aquaculture and Coastal Fisheries in Chile (Supplement Data)
Protocols for monitoring Harmful Algal Blooms for sustainable aquaculture and coastal fisheries in Chile (Supplement data) Provided by Kyoko Yarimizu, et al. Table S1. Phytoplankton Naming Dictionary: This dictionary was constructed from the species observed in Chilean coast water in the past combined with the IOC list. Each name was verified with the list provided by IFOP and online dictionaries, AlgaeBase (https://www.algaebase.org/) and WoRMS (http://www.marinespecies.org/). The list is subjected to be updated. Phylum Class Order Family Genus Species Ochrophyta Bacillariophyceae Achnanthales Achnanthaceae Achnanthes Achnanthes longipes Bacillariophyta Coscinodiscophyceae Coscinodiscales Heliopeltaceae Actinoptychus Actinoptychus spp. Dinoflagellata Dinophyceae Gymnodiniales Gymnodiniaceae Akashiwo Akashiwo sanguinea Dinoflagellata Dinophyceae Gymnodiniales Gymnodiniaceae Amphidinium Amphidinium spp. Ochrophyta Bacillariophyceae Naviculales Amphipleuraceae Amphiprora Amphiprora spp. Bacillariophyta Bacillariophyceae Thalassiophysales Catenulaceae Amphora Amphora spp. Cyanobacteria Cyanophyceae Nostocales Aphanizomenonaceae Anabaenopsis Anabaenopsis milleri Cyanobacteria Cyanophyceae Oscillatoriales Coleofasciculaceae Anagnostidinema Anagnostidinema amphibium Anagnostidinema Cyanobacteria Cyanophyceae Oscillatoriales Coleofasciculaceae Anagnostidinema lemmermannii Cyanobacteria Cyanophyceae Oscillatoriales Microcoleaceae Annamia Annamia toxica Cyanobacteria Cyanophyceae Nostocales Aphanizomenonaceae Aphanizomenon Aphanizomenon flos-aquae -
The Plankton Lifeform Extraction Tool: a Digital Tool to Increase The
Discussions https://doi.org/10.5194/essd-2021-171 Earth System Preprint. Discussion started: 21 July 2021 Science c Author(s) 2021. CC BY 4.0 License. Open Access Open Data The Plankton Lifeform Extraction Tool: A digital tool to increase the discoverability and usability of plankton time-series data Clare Ostle1*, Kevin Paxman1, Carolyn A. Graves2, Mathew Arnold1, Felipe Artigas3, Angus Atkinson4, Anaïs Aubert5, Malcolm Baptie6, Beth Bear7, Jacob Bedford8, Michael Best9, Eileen 5 Bresnan10, Rachel Brittain1, Derek Broughton1, Alexandre Budria5,11, Kathryn Cook12, Michelle Devlin7, George Graham1, Nick Halliday1, Pierre Hélaouët1, Marie Johansen13, David G. Johns1, Dan Lear1, Margarita Machairopoulou10, April McKinney14, Adam Mellor14, Alex Milligan7, Sophie Pitois7, Isabelle Rombouts5, Cordula Scherer15, Paul Tett16, Claire Widdicombe4, and Abigail McQuatters-Gollop8 1 10 The Marine Biological Association (MBA), The Laboratory, Citadel Hill, Plymouth, PL1 2PB, UK. 2 Centre for Environment Fisheries and Aquacu∑lture Science (Cefas), Weymouth, UK. 3 Université du Littoral Côte d’Opale, Université de Lille, CNRS UMR 8187 LOG, Laboratoire d’Océanologie et de Géosciences, Wimereux, France. 4 Plymouth Marine Laboratory, Prospect Place, Plymouth, PL1 3DH, UK. 5 15 Muséum National d’Histoire Naturelle (MNHN), CRESCO, 38 UMS Patrinat, Dinard, France. 6 Scottish Environment Protection Agency, Angus Smith Building, Maxim 6, Parklands Avenue, Eurocentral, Holytown, North Lanarkshire ML1 4WQ, UK. 7 Centre for Environment Fisheries and Aquaculture Science (Cefas), Lowestoft, UK. 8 Marine Conservation Research Group, University of Plymouth, Drake Circus, Plymouth, PL4 8AA, UK. 9 20 The Environment Agency, Kingfisher House, Goldhay Way, Peterborough, PE4 6HL, UK. 10 Marine Scotland Science, Marine Laboratory, 375 Victoria Road, Aberdeen, AB11 9DB, UK. -
Supplementary Information for Microbial Electrochemical Systems Outperform Fixed-Bed Biofilters for Cleaning-Up Urban Wastewater
Electronic Supplementary Material (ESI) for Environmental Science: Water Research & Technology. This journal is © The Royal Society of Chemistry 2016 Supplementary information for Microbial Electrochemical Systems outperform fixed-bed biofilters for cleaning-up urban wastewater AUTHORS: Arantxa Aguirre-Sierraa, Tristano Bacchetti De Gregorisb, Antonio Berná, Juan José Salasc, Carlos Aragónc, Abraham Esteve-Núñezab* Fig.1S Total nitrogen (A), ammonia (B) and nitrate (C) influent and effluent average values of the coke and the gravel biofilters. Error bars represent 95% confidence interval. Fig. 2S Influent and effluent COD (A) and BOD5 (B) average values of the hybrid biofilter and the hybrid polarized biofilter. Error bars represent 95% confidence interval. Fig. 3S Redox potential measured in the coke and the gravel biofilters Fig. 4S Rarefaction curves calculated for each sample based on the OTU computations. Fig. 5S Correspondence analysis biplot of classes’ distribution from pyrosequencing analysis. Fig. 6S. Relative abundance of classes of the category ‘other’ at class level. Table 1S Influent pre-treated wastewater and effluents characteristics. Averages ± SD HRT (d) 4.0 3.4 1.7 0.8 0.5 Influent COD (mg L-1) 246 ± 114 330 ± 107 457 ± 92 318 ± 143 393 ± 101 -1 BOD5 (mg L ) 136 ± 86 235 ± 36 268 ± 81 176 ± 127 213 ± 112 TN (mg L-1) 45.0 ± 17.4 60.6 ± 7.5 57.7 ± 3.9 43.7 ± 16.5 54.8 ± 10.1 -1 NH4-N (mg L ) 32.7 ± 18.7 51.6 ± 6.5 49.0 ± 2.3 36.6 ± 15.9 47.0 ± 8.8 -1 NO3-N (mg L ) 2.3 ± 3.6 1.0 ± 1.6 0.8 ± 0.6 1.5 ± 2.0 0.9 ± 0.6 TP (mg -
Table S4. Phylogenetic Distribution of Bacterial and Archaea Genomes in Groups A, B, C, D, and X
Table S4. Phylogenetic distribution of bacterial and archaea genomes in groups A, B, C, D, and X. Group A a: Total number of genomes in the taxon b: Number of group A genomes in the taxon c: Percentage of group A genomes in the taxon a b c cellular organisms 5007 2974 59.4 |__ Bacteria 4769 2935 61.5 | |__ Proteobacteria 1854 1570 84.7 | | |__ Gammaproteobacteria 711 631 88.7 | | | |__ Enterobacterales 112 97 86.6 | | | | |__ Enterobacteriaceae 41 32 78.0 | | | | | |__ unclassified Enterobacteriaceae 13 7 53.8 | | | | |__ Erwiniaceae 30 28 93.3 | | | | | |__ Erwinia 10 10 100.0 | | | | | |__ Buchnera 8 8 100.0 | | | | | | |__ Buchnera aphidicola 8 8 100.0 | | | | | |__ Pantoea 8 8 100.0 | | | | |__ Yersiniaceae 14 14 100.0 | | | | | |__ Serratia 8 8 100.0 | | | | |__ Morganellaceae 13 10 76.9 | | | | |__ Pectobacteriaceae 8 8 100.0 | | | |__ Alteromonadales 94 94 100.0 | | | | |__ Alteromonadaceae 34 34 100.0 | | | | | |__ Marinobacter 12 12 100.0 | | | | |__ Shewanellaceae 17 17 100.0 | | | | | |__ Shewanella 17 17 100.0 | | | | |__ Pseudoalteromonadaceae 16 16 100.0 | | | | | |__ Pseudoalteromonas 15 15 100.0 | | | | |__ Idiomarinaceae 9 9 100.0 | | | | | |__ Idiomarina 9 9 100.0 | | | | |__ Colwelliaceae 6 6 100.0 | | | |__ Pseudomonadales 81 81 100.0 | | | | |__ Moraxellaceae 41 41 100.0 | | | | | |__ Acinetobacter 25 25 100.0 | | | | | |__ Psychrobacter 8 8 100.0 | | | | | |__ Moraxella 6 6 100.0 | | | | |__ Pseudomonadaceae 40 40 100.0 | | | | | |__ Pseudomonas 38 38 100.0 | | | |__ Oceanospirillales 73 72 98.6 | | | | |__ Oceanospirillaceae -
Resilience of Microbial Communities After Hydrogen Peroxide Treatment of a Eutrophic Lake to Suppress Harmful Cyanobacterial Blooms
microorganisms Article Resilience of Microbial Communities after Hydrogen Peroxide Treatment of a Eutrophic Lake to Suppress Harmful Cyanobacterial Blooms Tim Piel 1,†, Giovanni Sandrini 1,†,‡, Gerard Muyzer 1 , Corina P. D. Brussaard 1,2 , Pieter C. Slot 1, Maria J. van Herk 1, Jef Huisman 1 and Petra M. Visser 1,* 1 Department of Freshwater and Marine Ecology, Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, 1090 GE Amsterdam, The Netherlands; [email protected] (T.P.); [email protected] (G.S.); [email protected] (G.M.); [email protected] (C.P.D.B.); [email protected] (P.C.S.); [email protected] (M.J.v.H.); [email protected] (J.H.) 2 Department of Marine Microbiology and Biogeochemistry, NIOZ Royal Netherland Institute for Sea Research, 1790 AB Den Burg, The Netherlands * Correspondence: [email protected]; Tel.: +31-20-5257073 † These authors have contributed equally to this work. ‡ Current address: Department of Technology & Sources, Evides Water Company, 3006 AL Rotterdam, The Netherlands. Abstract: Applying low concentrations of hydrogen peroxide (H2O2) to lakes is an emerging method to mitigate harmful cyanobacterial blooms. While cyanobacteria are very sensitive to H2O2, little Citation: Piel, T.; Sandrini, G.; is known about the impacts of these H2O2 treatments on other members of the microbial com- Muyzer, G.; Brussaard, C.P.D.; Slot, munity. In this study, we investigated changes in microbial community composition during two P.C.; van Herk, M.J.; Huisman, J.; −1 lake treatments with low H2O2 concentrations (target: 2.5 mg L ) and in two series of controlled Visser, P.M. -
Fig.S1. the Pairwise Aligments of High Scoring Pairs of Recognizable Pseudogenes
LysR transcriptional regulator Identities = 57/164 (35%), Positives = 82/164 (50%), Gaps = 13/164 (8%) 70530- SNQAIKTYLMPK*LRLLRQK*SPVEFQLQVHLIKKIRLNIVIRDINLTIIEN-TPVKLKI -70354 ++Q TYLMP+ + L RQK V QLQVH ++I ++ INL II P++LK 86251- ASQTTGTYLMPRLIGLFRQKYPQVAVQLQVHSTRRIAWSVANGHINLAIIGGEVPIELKN -86072 70353- FYTLLRMKERI*H*YCLGFL------FQFLIAYKKKNLYGLRLIKVDIPFPIRGIMNNP* -70192 + E L + F L + +K++LY LR I +D IR +++ 86071- MLQVTSYAED-----ELALILPKSHPFSMLRSIQKEDLYRLRFIALDRQSTIRKVIDKVL -85907 70191- IKTELIPRNLN-EMELSLFKPIKNAV*PGLNVTLIFVSAIAKEL -70063 + + EMEL+ + IKNAV GL + VSAIAKEL 85906- NQNGIDSTRFKIEMELNSVEAIKNAVQSGLGAAFVSVSAIAKEL -85775 ycf3 Photosystem I assembly protein Identities = 25/59 (42%), Positives = 39/59 (66%), Gaps = 3/59 (5%) 19162- NRSYML-SIQCM-PNNSDYVNTLKHCR*ALDLSSKL-LAIRNVTISYYCQDIIFSEKKD -19329 +RSY+L +I + +N +YV L++ ALDL+S+L AI N+ + Y+ Q + SEKKD 19583- DRSYILYNIGLIYASNGEYVKALEYYHQALDLNSRLPPAINNIAVIYHYQGVKASEKKD -19759 Fig.S1. The pairwise aligments of high scoring pairs of recognizable pseudogenes. The upper amino acid sequences indicates Cryptomonas sp. SAG977-2f. The lower sequences are corresponding amino acid sequences of homologs in C. curvata CCAP979/52. Table S1. Presence/absence of protein genes in the plastid genomes of Cryptomonas and representative species of Cryptomonadales. Note; y indicates pseudogenes. Photosynthetic Non-Photosynthetic Guillardia Rhodomonas Cryptomonas C. C. curvata C. curvata parameciu Guillardia Rhodomonas FBCC300 CCAP979/ SAG977 CCAC1634 m theta salina -2f B 012D 52 CCAP977/2 a rps2 + + + + -
Cooperative Interactions in Niche Communities
fmicb-08-02099 October 23, 2017 Time: 15:56 # 1 ORIGINAL RESEARCH published: 25 October 2017 doi: 10.3389/fmicb.2017.02099 Cyanobacteria and Alphaproteobacteria May Facilitate Cooperative Interactions in Niche Communities Marc W. Van Goethem, Thulani P. Makhalanyane*, Don A. Cowan and Angel Valverde*† Centre for Microbial Ecology and Genomics, Department of Genetics, University of Pretoria, Pretoria, South Africa Hypoliths, microbial assemblages found below translucent rocks, provide important ecosystem services in deserts. While several studies have assessed microbial diversity Edited by: Jesse G. Dillon, of hot desert hypoliths and whether these communities are metabolically active, the California State University, interactions among taxa remain unclear. Here, we assessed the structure, diversity, and Long Beach, United States co-occurrence patterns of hypolithic communities from the hyperarid Namib Desert Reviewed by: by comparing total (DNA) and potentially active (RNA) communities. The potentially Jamie S. Foster, University of Florida, United States active and total hypolithic communities differed in their composition and diversity, with Daniela Billi, significantly higher levels of Cyanobacteria and Alphaproteobacteria in potentially active Università degli Studi di Roma Tor Vergata, Italy hypoliths. Several phyla known to be abundant in total hypolithic communities were *Correspondence: metabolically inactive, indicating that some hypolithic taxa may be dormant or dead. Thulani P. Makhalanyane The potentially active hypolith network -
Coupled Reductive and Oxidative Sulfur Cycling in the Phototrophic Plate of a Meromictic Lake T
Geobiology (2014), 12, 451–468 DOI: 10.1111/gbi.12092 Coupled reductive and oxidative sulfur cycling in the phototrophic plate of a meromictic lake T. L. HAMILTON,1 R. J. BOVEE,2 V. THIEL,3 S. R. SATTIN,2 W. MOHR,2 I. SCHAPERDOTH,1 K. VOGL,3 W. P. GILHOOLY III,4 T. W. LYONS,5 L. P. TOMSHO,3 S. C. SCHUSTER,3,6 J. OVERMANN,7 D. A. BRYANT,3,6,8 A. PEARSON2 AND J. L. MACALADY1 1Department of Geosciences, Penn State Astrobiology Research Center (PSARC), The Pennsylvania State University, University Park, PA, USA 2Department of Earth and Planetary Sciences, Harvard University, Cambridge, MA, USA 3Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA, USA 4Department of Earth Sciences, Indiana University-Purdue University Indianapolis, Indianapolis, IN, USA 5Department of Earth Sciences, University of California, Riverside, CA, USA 6Singapore Center for Environmental Life Sciences Engineering, Nanyang Technological University, Nanyang, Singapore 7Leibniz-Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen, Braunschweig, Germany 8Department of Chemistry and Biochemistry, Montana State University, Bozeman, MT, USA ABSTRACT Mahoney Lake represents an extreme meromictic model system and is a valuable site for examining the organisms and processes that sustain photic zone euxinia (PZE). A single population of purple sulfur bacte- ria (PSB) living in a dense phototrophic plate in the chemocline is responsible for most of the primary pro- duction in Mahoney Lake. Here, we present metagenomic data from this phototrophic plate – including the genome of the major PSB, as obtained from both a highly enriched culture and from the metagenomic data – as well as evidence for multiple other taxa that contribute to the oxidative sulfur cycle and to sulfate reduction. -
Cyanobacteria Evolution Insight from the Fossil Record
Free Radical Biology and Medicine 140 (2019) 206–223 Contents lists available at ScienceDirect Free Radical Biology and Medicine journal homepage: www.elsevier.com/locate/freeradbiomed Cyanobacteria evolution: Insight from the fossil record T ∗ Catherine F. Demoulina, ,1, Yannick J. Laraa,1, Luc Corneta,b, Camille Françoisa, Denis Baurainb, Annick Wilmottec, Emmanuelle J. Javauxa a Early Life Traces & Evolution - Astrobiology, UR ASTROBIOLOGY, Geology Department, University of Liège, Liège, Belgium b Eukaryotic Phylogenomics, InBioS-PhytoSYSTEMS, University of Liège, Liège, Belgium c BCCM/ULC Cyanobacteria Collection, InBioS-CIP, Centre for Protein Engineering, University of Liège, Liège, Belgium ARTICLE INFO ABSTRACT Keywords: Cyanobacteria played an important role in the evolution of Early Earth and the biosphere. They are responsible Biosignatures for the oxygenation of the atmosphere and oceans since the Great Oxidation Event around 2.4 Ga, debatably Cyanobacteria earlier. They are also major primary producers in past and present oceans, and the ancestors of the chloroplast. Evolution Nevertheless, the identification of cyanobacteria in the early fossil record remains ambiguous because the Microfossils morphological criteria commonly used are not always reliable for microfossil interpretation. Recently, new Molecular clocks biosignatures specific to cyanobacteria were proposed. Here, we review the classic and new cyanobacterial Precambrian biosignatures. We also assess the reliability of the previously described cyanobacteria fossil record and the challenges of molecular approaches on modern cyanobacteria. Finally, we suggest possible new calibration points for molecular clocks, and strategies to improve our understanding of the timing and pattern of the evolution of cyanobacteria and oxygenic photosynthesis. 1. Introduction eukaryote [8,9], and subsequent higher-order endosymbiotic events [10]. -
Biovolumes and Size-Classes of Phytoplankton in the Baltic Sea
Baltic Sea Environment Proceedings No.106 Biovolumes and Size-Classes of Phytoplankton in the Baltic Sea Helsinki Commission Baltic Marine Environment Protection Commission Baltic Sea Environment Proceedings No. 106 Biovolumes and size-classes of phytoplankton in the Baltic Sea Helsinki Commission Baltic Marine Environment Protection Commission Authors: Irina Olenina, Centre of Marine Research, Taikos str 26, LT-91149, Klaipeda, Lithuania Susanna Hajdu, Dept. of Systems Ecology, Stockholm University, SE-106 91 Stockholm, Sweden Lars Edler, SMHI, Ocean. Services, Nya Varvet 31, SE-426 71 V. Frölunda, Sweden Agneta Andersson, Dept of Ecology and Environmental Science, Umeå University, SE-901 87 Umeå, Sweden, Umeå Marine Sciences Centre, Umeå University, SE-910 20 Hörnefors, Sweden Norbert Wasmund, Baltic Sea Research Institute, Seestr. 15, D-18119 Warnemünde, Germany Susanne Busch, Baltic Sea Research Institute, Seestr. 15, D-18119 Warnemünde, Germany Jeanette Göbel, Environmental Protection Agency (LANU), Hamburger Chaussee 25, D-24220 Flintbek, Germany Slawomira Gromisz, Sea Fisheries Institute, Kollataja 1, 81-332, Gdynia, Poland Siv Huseby, Umeå Marine Sciences Centre, Umeå University, SE-910 20 Hörnefors, Sweden Maija Huttunen, Finnish Institute of Marine Research, Lyypekinkuja 3A, P.O. Box 33, FIN-00931 Helsinki, Finland Andres Jaanus, Estonian Marine Institute, Mäealuse 10 a, 12618 Tallinn, Estonia Pirkko Kokkonen, Finnish Environment Institute, P.O. Box 140, FIN-00251 Helsinki, Finland Iveta Ledaine, Inst. of Aquatic Ecology, Marine Monitoring Center, University of Latvia, Daugavgrivas str. 8, Latvia Elzbieta Niemkiewicz, Maritime Institute in Gdansk, Laboratory of Ecology, Dlugi Targ 41/42, 80-830, Gdansk, Poland All photographs by Finnish Institute of Marine Research (FIMR) Cover photo: Aphanizomenon flos-aquae For bibliographic purposes this document should be cited to as: Olenina, I., Hajdu, S., Edler, L., Andersson, A., Wasmund, N., Busch, S., Göbel, J., Gromisz, S., Huseby, S., Huttunen, M., Jaanus, A., Kokkonen, P., Ledaine, I. -
DOMAIN Bacteria PHYLUM Cyanobacteria
DOMAIN Bacteria PHYLUM Cyanobacteria D Bacteria Cyanobacteria P C Chroobacteria Hormogoneae Cyanobacteria O Chroococcales Oscillatoriales Nostocales Stigonematales Sub I Sub III Sub IV F Homoeotrichaceae Chamaesiphonaceae Ammatoideaceae Microchaetaceae Borzinemataceae Family I Family I Family I Chroococcaceae Borziaceae Nostocaceae Capsosiraceae Dermocarpellaceae Gomontiellaceae Rivulariaceae Chlorogloeopsaceae Entophysalidaceae Oscillatoriaceae Scytonemataceae Fischerellaceae Gloeobacteraceae Phormidiaceae Loriellaceae Hydrococcaceae Pseudanabaenaceae Mastigocladaceae Hyellaceae Schizotrichaceae Nostochopsaceae Merismopediaceae Stigonemataceae Microsystaceae Synechococcaceae Xenococcaceae S-F Homoeotrichoideae Note: Families shown in green color above have breakout charts G Cyanocomperia Dactylococcopsis Prochlorothrix Cyanospira Prochlorococcus Prochloron S Amphithrix Cyanocomperia africana Desmonema Ercegovicia Halomicronema Halospirulina Leptobasis Lichen Palaeopleurocapsa Phormidiochaete Physactis Key to Vertical Axis Planktotricoides D=Domain; P=Phylum; C=Class; O=Order; F=Family Polychlamydum S-F=Sub-Family; G=Genus; S=Species; S-S=Sub-Species Pulvinaria Schmidlea Sphaerocavum Taxa are from the Taxonomicon, using Systema Natura 2000 . Triochocoleus http://www.taxonomy.nl/Taxonomicon/TaxonTree.aspx?id=71022 S-S Desmonema wrangelii Palaeopleurocapsa wopfnerii Pulvinaria suecica Key Genera D Bacteria Cyanobacteria P C Chroobacteria Hormogoneae Cyanobacteria O Chroococcales Oscillatoriales Nostocales Stigonematales Sub I Sub III Sub