Table S1. Sequence Counts of the Rhizosphere and Bulk Soil Metagenomes
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The Subway Microbiome: Seasonal Dynamics and Direct Comparison Of
Gohli et al. Microbiome (2019) 7:160 https://doi.org/10.1186/s40168-019-0772-9 RESEARCH Open Access The subway microbiome: seasonal dynamics and direct comparison of air and surface bacterial communities Jostein Gohli1* , Kari Oline Bøifot1,2, Line Victoria Moen1, Paulina Pastuszek3, Gunnar Skogan1, Klas I. Udekwu4 and Marius Dybwad1,2 Abstract Background: Mass transit environments, such as subways, are uniquely important for transmission of microbes among humans and built environments, and for their ability to spread pathogens and impact large numbers of people. In order to gain a deeper understanding of microbiome dynamics in subways, we must identify variables that affect microbial composition and those microorganisms that are unique to specific habitats. Methods: We performed high-throughput 16S rRNA gene sequencing of air and surface samples from 16 subway stations in Oslo, Norway, across all four seasons. Distinguishing features across seasons and between air and surface were identified using random forest classification analyses, followed by in-depth diversity analyses. Results: There were significant differences between the air and surface bacterial communities, and across seasons. Highly abundant groups were generally ubiquitous; however, a large number of taxa with low prevalence and abundance were exclusively present in only one sample matrix or one season. Among the highly abundant families and genera, we found that some were uniquely so in air samples. In surface samples, all highly abundant groups were also well represented in air samples. This is congruent with a pattern observed for the entire dataset, namely that air samples had significantly higher within-sample diversity. We also observed a seasonal pattern: diversity was higher during spring and summer. -
Changes in Multi-Level Biodiversity and Soil Features in a Burned Beech Forest in the Southern Italian Coastal Mountain
Article Changes in Multi-Level Biodiversity and Soil Features in a Burned Beech Forest in the Southern Italian Coastal Mountain Adriano Stinca 1,* , Maria Ravo 2, Rossana Marzaioli 1,*, Giovanna Marchese 2, Angela Cordella 2, Flora A. Rutigliano 1 and Assunta Esposito 1 1 Department of Environmental Biological and Pharmaceutical Sciences and Technologies, University of Campania Luigi Vanvitelli, Via Vivaldi 43, 81100 Caserta, Italy; fl[email protected] (F.A.R.); [email protected] (A.E.) 2 Genomix4Life S.r.l., Via Allende, 84081 Baronissi (Salerno), Italy; [email protected] (M.R.); [email protected] (G.M.); [email protected] (A.C.) * Correspondence: [email protected] (A.S.); [email protected] (R.M.) Received: 1 August 2020; Accepted: 8 September 2020; Published: 11 September 2020 Abstract: In the context of global warming and increasing wildfire occurrence, this study aims to examine, for the first time, the changes in multi-level biodiversity and key soil features related to soil functioning in a burned Mediterranean beech forest. Two years after the 2017 wildfire, changes between burned and unburned plots of beech forest were analyzed for plant communities (vascular plant and cover, bryophytes diversity, structural, chorological, and ecological variables) and soil features (main chemical properties, microbial biomass and activity, bacterial community composition, and diversity), through a synchronic study. Fire-induced changes in the micro-environmental conditions triggered a secondary succession process with colonization by many native pioneer plant species. Indeed, higher frequency (e.g., Scrophularia vernalis L., Rubus hirtus Waldst. and Kit. group, and Funaria hygrometrica Hedw.) or coverage (e.g., Verbascum thapsus L. -
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 -
16S Rrna Metagenomic Analysis of the Bacterial Community Associated with Turf Grass Seeds from Low Moisture and High Moisture Climates
16S rRNA metagenomic analysis of the bacterial community associated with turf grass seeds from low moisture and high moisture climates Qiang Chen, William A. Meyer, Qiuwei Zhang and James F. White Department of Plant Biology, Rutgers, The State University of New Jersey, New Brunswick, NJ, USA ABSTRACT Turfgrass investigators have observed that plantings of grass seeds produced in moist climates produce seedling stands that show greater stand evenness with reduced disease compared to those grown from seeds produced in dry climates. Grass seeds carry microbes on their surfaces that become endophytic in seedlings and promote seedling growth. We hypothesize that incomplete development of the microbiome associated with the surface of seeds produced in dry climates reduces the performance of seeds. Little is known about the influence of moisture on the structure of this microbial community. We conducted metagenomic analysis of the bacterial communities associated with seeds of three turf species (Festuca rubra, Lolium arundinacea, and Lolium perenne) from low moisture (LM) and high moisture (HM) climates. The bacterial communities were characterized by Illumina high-throughput sequencing of 16S rRNA V3–V4 regions. We performed seed germination tests and analyzed the correlations between the abundance of different bacterial groups and seed germination at different taxonomy ranks. Climate appeared to structure the bacterial communities associated with seeds. LM seeds vectored mainly Proteobacteria (89%). HM seeds vectored a denser and more diverse bacterial community that included Proteobacteria (50%) and Bacteroides (39%). Submitted 29 August 2019 At the genus level, Pedobacter (20%), Sphingomonas (13%), Massilia (12%), Pantoea Accepted 16 December 2019 (12%) and Pseudomonas (11%) were the major genera in the bacterial communities Published 10 January 2020 regardless of climate conditions. -
Table S5. the Information of the Bacteria Annotated in the Soil Community at Species Level
Table S5. The information of the bacteria annotated in the soil community at species level No. Phylum Class Order Family Genus Species The number of contigs Abundance(%) 1 Firmicutes Bacilli Bacillales Bacillaceae Bacillus Bacillus cereus 1749 5.145782459 2 Bacteroidetes Cytophagia Cytophagales Hymenobacteraceae Hymenobacter Hymenobacter sedentarius 1538 4.52499338 3 Gemmatimonadetes Gemmatimonadetes Gemmatimonadales Gemmatimonadaceae Gemmatirosa Gemmatirosa kalamazoonesis 1020 3.000970902 4 Proteobacteria Alphaproteobacteria Sphingomonadales Sphingomonadaceae Sphingomonas Sphingomonas indica 797 2.344876284 5 Firmicutes Bacilli Lactobacillales Streptococcaceae Lactococcus Lactococcus piscium 542 1.594633558 6 Actinobacteria Thermoleophilia Solirubrobacterales Conexibacteraceae Conexibacter Conexibacter woesei 471 1.385742446 7 Proteobacteria Alphaproteobacteria Sphingomonadales Sphingomonadaceae Sphingomonas Sphingomonas taxi 430 1.265115184 8 Proteobacteria Alphaproteobacteria Sphingomonadales Sphingomonadaceae Sphingomonas Sphingomonas wittichii 388 1.141545794 9 Proteobacteria Alphaproteobacteria Sphingomonadales Sphingomonadaceae Sphingomonas Sphingomonas sp. FARSPH 298 0.876754244 10 Proteobacteria Alphaproteobacteria Sphingomonadales Sphingomonadaceae Sphingomonas Sorangium cellulosum 260 0.764953367 11 Proteobacteria Deltaproteobacteria Myxococcales Polyangiaceae Sorangium Sphingomonas sp. Cra20 260 0.764953367 12 Proteobacteria Alphaproteobacteria Sphingomonadales Sphingomonadaceae Sphingomonas Sphingomonas panacis 252 0.741416341 -
Diversity of Biodeteriorative Bacterial and Fungal Consortia in Winter and Summer on Historical Sandstone of the Northern Pergol
applied sciences Article Diversity of Biodeteriorative Bacterial and Fungal Consortia in Winter and Summer on Historical Sandstone of the Northern Pergola, Museum of King John III’s Palace at Wilanow, Poland Magdalena Dyda 1,2,* , Agnieszka Laudy 3, Przemyslaw Decewicz 4 , Krzysztof Romaniuk 4, Martyna Ciezkowska 4, Anna Szajewska 5 , Danuta Solecka 6, Lukasz Dziewit 4 , Lukasz Drewniak 4 and Aleksandra Skłodowska 1 1 Department of Geomicrobiology, Institute of Microbiology, Faculty of Biology, University of Warsaw, Miecznikowa 1, 02-096 Warsaw, Poland; [email protected] 2 Research and Development for Life Sciences Ltd. (RDLS Ltd.), Miecznikowa 1/5a, 02-096 Warsaw, Poland 3 Laboratory of Environmental Analysis, Museum of King John III’s Palace at Wilanow, Stanislawa Kostki Potockiego 10/16, 02-958 Warsaw, Poland; [email protected] 4 Department of Environmental Microbiology and Biotechnology, Institute of Microbiology, Faculty of Biology, University of Warsaw, Miecznikowa 1, 02-096 Warsaw, Poland; [email protected] (P.D.); [email protected] (K.R.); [email protected] (M.C.); [email protected] (L.D.); [email protected] (L.D.) 5 The Main School of Fire Service, Slowackiego 52/54, 01-629 Warsaw, Poland; [email protected] 6 Department of Plant Molecular Ecophysiology, Institute of Experimental Plant Biology and Biotechnology, Faculty of Biology, University of Warsaw, Miecznikowa 1, 02-096 Warsaw, Poland; [email protected] * Correspondence: [email protected] or [email protected]; Tel.: +48-786-28-44-96 Citation: Dyda, M.; Laudy, A.; Abstract: The aim of the presented investigation was to describe seasonal changes of microbial com- Decewicz, P.; Romaniuk, K.; munity composition in situ in different biocenoses on historical sandstone of the Northern Pergola in Ciezkowska, M.; Szajewska, A.; the Museum of King John III’s Palace at Wilanow (Poland). -
Dissertation Implementing Organic Amendments To
DISSERTATION IMPLEMENTING ORGANIC AMENDMENTS TO ENHANCE MAIZE YIELD, SOIL MOISTURE, AND MICROBIAL NUTRIENT CYCLING IN TEMPERATE AGRICULTURE Submitted by Erika J. Foster Graduate Degree Program in Ecology In partial fulfillment of the requirements For the Degree of Doctor of Philosophy Colorado State University Fort Collins, Colorado Summer 2018 Doctoral Committee: Advisor: M. Francesca Cotrufo Louise Comas Charles Rhoades Matthew D. Wallenstein Copyright by Erika J. Foster 2018 All Rights Reserved i ABSTRACT IMPLEMENTING ORGANIC AMENDMENTS TO ENHANCE MAIZE YIELD, SOIL MOISTURE, AND MICROBIAL NUTRIENT CYCLING IN TEMPERATE AGRICULTURE To sustain agricultural production into the future, management should enhance natural biogeochemical cycling within the soil. Strategies to increase yield while reducing chemical fertilizer inputs and irrigation require robust research and development before widespread implementation. Current innovations in crop production use amendments such as manure and biochar charcoal to increase soil organic matter and improve soil structure, water, and nutrient content. Organic amendments also provide substrate and habitat for soil microorganisms that can play a key role cycling nutrients, improving nutrient availability for crops. Additional plant growth promoting bacteria can be incorporated into the soil as inocula to enhance soil nutrient cycling through mechanisms like phosphorus solubilization. Since microbial inoculation is highly effective under drought conditions, this technique pairs well in agricultural systems using limited irrigation to save water, particularly in semi-arid regions where climate change and population growth exacerbate water scarcity. The research in this dissertation examines synergistic techniques to reduce irrigation inputs, while building soil organic matter, and promoting natural microbial function to increase crop available nutrients. The research was conducted on conventional irrigated maize systems at the Agricultural Research Development and Education Center north of Fort Collins, CO. -
Canopy Position Has a Stronger Effect Than Tree Species Identity on Phyllosphere
bioRxiv preprint doi: https://doi.org/10.1101/2020.02.07.939058; this version posted February 8, 2020. 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 Canopy position has a stronger effect than tree species identity on phyllosphere 2 bacterial diversity in a floodplain hardwood forest 3 Martina Herrmann1,2*, Patricia Geesink1, Ronny Richter2,3,4, Kirsten Küsel1,2 4 1Institute of Biodiversity, Aquatic Geomicrobiology, Friedrich Schiller University Jena, 5 Dornburger Strasse 159, D-07743 Jena, Germany 6 2German Center for Integrative Biodiversity Research, Deutscher Platz 5e, 04103 Leipzig, 7 Germany 8 3Systematic Botany and Functional Biodiversity, Institute for Biology, Leipzig University, 9 Johannisallee 21, 04103 Leipzig 10 4Geoinformatics and Remote Sensing, Institute of Geography, Johannisallee 19a, Leipzig 11 University, 04103 Leipzig, Germany 12 13 *Corresponding author: 14 Dr. Martina Herrmann 15 Friedrich Schiller University Jena 16 Institute of Biodiversity – Aquatic Geomicrobiology 17 Dornburger Strasse 159 18 D-07743 Jena 19 Phone: +49 (0)3641 949459 20 Email: [email protected] 21 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.02.07.939058; this version posted February 8, 2020. 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. 22 Abstract 23 The phyllosphere is a challenging microbial habitat in which microorganisms can flourish on 24 organic carbon released by plant leaves but are also exposed to harsh environmental 25 conditions. -
Prokaryotic Gene Start Prediction: Algorithms for Genomes and Metagenomes
PROKARYOTIC GENE START PREDICTION: ALGORITHMS FOR GENOMES AND METAGENOMES A Dissertation Presented to The Academic Faculty By Karl Gemayel In Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy in the School of Computational Science and Engineering Georgia Institute of Technology December 2020 © Karl Gemayel 2020 PROKARYOTIC GENE START PREDICTION: ALGORITHMS FOR GENOMES AND METAGENOMES Thesis committee: Dr. Mark Borodovsky Dr. Polo Chau School of Computational Science and En- School of Computational Science and En- gineering and Department of Biomedical gineering Engineering Georgia Institute of Technology Georgia Institute of Technology Dr. Umit¨ C¸atalyurek¨ Dr. King Jordan School of Computational Science and En- School of Biological Sciences gineering Georgia Institute of Technology Georgia Institute of Technology Dr. Pen Qui Department of Biomedical Engineering Georgia Institute of Technology Date approved: October 31, 2020 Wooster: “There are moments, Jeeves, when one asks oneself, ‘Do trousers matter?’” Jeeves: “The mood will pass, sir.” P.G. Wodehouse, The Code Of The Woosters To Mom and Dad, all my ancestors, and the first self-replicating molecule. Without you, this work would literally not have been possible. ACKNOWLEDGMENTS I am bound to forget someone or something and so, in fairness to all, I will forget most things and keep this vague and terse, though not necessarily short. I was very much at the right place at the right time to do this work, a time where these problems had not yet been solved. To the driven students who graduated early enough before such ideas came to them, thank you for being considerate. To my advisor Mark Borodovsky, who insisted that a lack of community funding for prokaryotic gene finding does not mean that the problem has actually been solved, thank you for continuously pushing for rigorous science that questions accepted beliefs. -
Halophilic Bacteroidetes As an Example on How Their Genomes Interact with the Environment
DOCTORAL THESIS 2020 PHYLOGENOMICS OF BACTEROIDETES; HALOPHILIC BACTEROIDETES AS AN EXAMPLE ON HOW THEIR GENOMES INTERACT WITH THE ENVIRONMENT Raúl Muñoz Jiménez DOCTORAL THESIS 2020 Doctoral Programme of Environmental and Biomedical Microbiology PHYLOGENOMICS OF BACTEROIDETES; HALOPHILIC BACTEROIDETES AS AN EXAMPLE ON HOW THEIR GENOMES INTERACT WITH THE ENVIRONMENT Raúl Muñoz Jiménez Thesis Supervisor: Ramon Rosselló Móra Thesis Supervisor: Rudolf Amann Thesis tutor: Elena I. García-Valdés Pukkits Doctor by the Universitat de les Illes Balears Publications resulted from this thesis Munoz, R., Rosselló-Móra, R., & Amann, R. (2016). Revised phylogeny of Bacteroidetes and proposal of sixteen new taxa and two new combinations including Rhodothermaeota phyl. nov. Systematic and Applied Microbiology, 39(5), 281–296 Munoz, R., Rosselló-Móra, R., & Amann, R. (2016). Corrigendum to “Revised phylogeny of Bacteroidetes and proposal of sixteen new taxa and two new combinations including Rhodothermaeota phyl. nov.” [Syst. Appl. Microbiol. 39 (5) (2016) 281–296]. Systematic and Applied Microbiology, 39, 491–492. Munoz, R., Amann, R., & Rosselló-Móra, R. (2019). Ancestry and adaptive radiation of Bacteroidetes as assessed by comparative genomics. Systematic and Applied Microbiology, 43(2), 126065. Dr. Ramon Rosselló Móra, of the Institut Mediterrani d’Estudis Avançats, Esporles and Dr. Rudolf Amann, of the Max-Planck-Institute für Marine Mikrobiologie, Bremen WE DECLARE: That the thesis titled Phylogenomics of Bacteroidetes; halophilic Bacteroidetes as an example on how their genomes interact with the environment, presented by Raúl Muñoz Jiménez to obtain a doctoral degree, has been completed under our supervision and meets the requirements to opt for an International Doctorate. For all intents and purposes, we hereby sign this document. -
Supplementary Fig. S2. Taxonomic Classification of Two Metagenomic Samples of the Gall-Inducing Mite Fragariocoptes Seti- Ger in Kraken2
Supplementary Fig. S2. Taxonomic classification of two metagenomic samples of the gall-inducing mite Fragariocoptes seti- ger in Kraken2. There was a total of 708,046,814 and 82,009,061 classified reads in samples 1 and 2, respectively. OTUs (genera) were filtered based on a normalized abundance threshold of ≥0.0005% in either sample, resulting in 171 OTUs represented by 670,717,361 and 72,439,919 reads (sample 1 and 2, respectively). Data are given in Supplementary Table S3. Sample1 Sample2 0.000005 0.002990 Bacteria:Proteobacteria:Inhella Read % (log2) 0.000005 0.005342 Bacteria:Actinobacteria:Microbacteriaceae:Microterricola 10.00 0.000006 0.003983 Bacteria:Actinobacteria:Microbacteriaceae:Cryobacterium 5.00 0.000012 0.006576 Eukaryota:Ascomycota:Mycosphaerellaceae:Cercospora 0.00 0.000013 0.002947 Bacteria:Actinobacteria:Bifidobacteriaceae:Gardnerella 0.000017 0.003555 Eukaryota:Ascomycota:Chaetomiaceae:Thielavia -5.00 0.000014 0.004244 Bacteria:Firmicutes:Clostridiaceae:Clostridium -10.00 0.000010 0.001699 Bacteria:Proteobacteria:Caulobacteraceae:Phenylobacterium -15.00 0.000012 0.001183 Bacteria:Actinobacteria:Microbacteriaceae:Leifsonia 0.000009 0.001144 Bacteria:Proteobacteria:Desulfovibrionaceae:Desulfovibrio -20.00 0.000016 0.000777 Bacteria:Firmicutes:Leuconostocaceae:Weissella -25.00 0.000014 0.000761 Bacteria:Cyanobacteria:Oscillatoriaceae:Oscillatoria 0.000013 0.000683 Bacteria:Proteobacteria:Methylobacteriaceae:Microvirga Read % 0.000011 0.000578 Bacteria:Fusobacteria:Leptotrichiaceae:Leptotrichia 0.000009 0.000842 Bacteria:Firmicutes:Paenibacillaceae:Paenibacillus -
Filling the Gaps in the Cyanobacterial Tree of Life—Metagenome Analysis
G C A T T A C G G C A T genes Article Filling the Gaps in the Cyanobacterial Tree of Life—Metagenome Analysis of Stigonema ocellatum DSM 106950, Chlorogloea purpurea SAG 13.99 and Gomphosphaeria aponina DSM 107014 Pia Marter 1,†, Sixing Huang 1,†, Henner Brinkmann 1, Silke Pradella 1, Michael Jarek 2, Manfred Rohde 2, Boyke Bunk 1 and Jörn Petersen 1,* 1 Leibniz-Institut DSMZ—Deutsche Sammlung von Mikroorganismen und Zellkulturen, 38124 Braunschweig, Germany; [email protected] (P.M.); [email protected] (S.H.); [email protected] (H.B.); [email protected] (S.P.); [email protected] (B.B.) 2 Helmholtz-Zentrum für Infektionsforschung, 38124 Braunschweig, Germany; [email protected] (M.J.); [email protected] (M.R.) * Correspondence: [email protected]; Tel.: +49-531-2616-209; Fax: +49-531-2616-418 † These authors contributed equally to this work. Abstract: Cyanobacteria represent one of the most important and diverse lineages of prokaryotes with an unparalleled morphological diversity ranging from unicellular cocci and characteristic colony-formers to multicellular filamentous strains with different cell types. Sequencing of more than Citation: Marter, P.; Huang, S.; 1200 available reference genomes was mainly driven by their ecological relevance (Prochlorococcus, Brinkmann, H.; Pradella, S.; Jarek, M.; Synechococcus), toxicity (Microcystis) and the availability of axenic strains. In the current study three Rohde, M.; Bunk, B.; Petersen, J. slowly growing non-axenic cyanobacteria with a distant phylogenetic positioning were selected for Filling the Gaps in the Cyanobacterial metagenome sequencing in order to (i) investigate their genomes and to (ii) uncover the diversity Tree of Life—Metagenome Analysis of associated heterotrophs.