Canopy Position Has a Stronger Effect Than Tree Species Identity on Phyllosphere
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Kaistella Soli Sp. Nov., Isolated from Oil-Contaminated Soil
A001 Kaistella soli sp. nov., Isolated from Oil-contaminated Soil Dhiraj Kumar Chaudhary1, Ram Hari Dahal2, Dong-Uk Kim3, and Yongseok Hong1* 1Department of Environmental Engineering, Korea University Sejong Campus, 2Department of Microbiology, School of Medicine, Kyungpook National University, 3Department of Biological Science, College of Science and Engineering, Sangji University A light yellow-colored, rod-shaped bacterial strain DKR-2T was isolated from oil-contaminated experimental soil. The strain was Gram-stain-negative, catalase and oxidase positive, and grew at temperature 10–35°C, at pH 6.0– 9.0, and at 0–1.5% (w/v) NaCl concentration. The phylogenetic analysis and 16S rRNA gene sequence analysis suggested that the strain DKR-2T was affiliated to the genus Kaistella, with the closest species being Kaistella haifensis H38T (97.6% sequence similarity). The chemotaxonomic profiles revealed the presence of phosphatidylethanolamine as the principal polar lipids;iso-C15:0, antiso-C15:0, and summed feature 9 (iso-C17:1 9c and/or C16:0 10-methyl) as the main fatty acids; and menaquinone-6 as a major menaquinone. The DNA G + C content was 39.5%. In addition, the average nucleotide identity (ANIu) and in silico DNA–DNA hybridization (dDDH) relatedness values between strain DKR-2T and phylogenically closest members were below the threshold values for species delineation. The polyphasic taxonomic features illustrated in this study clearly implied that strain DKR-2T represents a novel species in the genus Kaistella, for which the name Kaistella soli sp. nov. is proposed with the type strain DKR-2T (= KACC 22070T = NBRC 114725T). [This study was supported by Creative Challenge Research Foundation Support Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF- 2020R1I1A1A01071920).] A002 Chitinibacter bivalviorum sp. -
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). -
Table S1. Sequence Counts of the Rhizosphere and Bulk Soil Metagenomes
Table S1. Sequence counts of the rhizosphere and bulk soil metagenomes. The total number of sequences before and after quality filtering, and coverage data of contigs ≥500 bp. Original sequence files After quality filtering Coverage (Contigs ≥ 500bp long) Sample Habitat No. of sequences No. of bases Average length No. of sequences No. of bases Average length No. of mapped reads 1C4 Bulk 20109591 2975984909 147.99 19346238 2849067044 147.265 10693941 2C3 Bulk 16412612 2437520419 148.515 15668391 2292314037 146.305 8488893 4C3 Bulk 17085364 2539362024 148.63 16262162 2381077816 146.415 6679680 8C4 Bulk 19685011 2914204472 148.04 18779173 2764065885 147.185 12713236 Total 73292578 10867071823 70055964 10286524781 38575750 21R Rhizosphere 14059802 2056595556 146.275 13308646 1926423705 144.75 11606054 34R Rhizosphere 12776790 1887171712 147.7 11983209 1747001863 145.785 5664206 43R Rhizosphere 12448635 1841092827 147.895 11570365 1687972045 145.89 6966831 51R Rhizosphere 18734804 2763025902 147.48 17964991 2613876715 145.89 10727283 Total 58020031 8547885997 54827211 7975274328 34964374 Table S2. Relative frequencies of open-reading frame (ORF) hit counts for microorganisms (phylum level) in each metagenome. Number Pylum Microorganism Sample Habitat Relative_frequency 1 Unknown_archaea Archaea 1C4 Bulk_soil 0.000258256 2 Crenarchaeota Archaea 1C4 Bulk_soil 0 3 Euryarchaeota Archaea 1C4 Bulk_soil 0.001549537 4 Thaumarchaeota Archaea 1C4 Bulk_soil 0.000193692 5 Acidobacteria Bacteria 1C4 Bulk_soil 0.009716887 6 Actinobacteria Bacteria 1C4 Bulk_soil -
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. -
Development of Upflow Aerobic Granular Sludge Bioreactor (UAGSBR) for Treatment of High-Strength Organic Wastewater
University of Calgary PRISM: University of Calgary's Digital Repository Graduate Studies The Vault: Electronic Theses and Dissertations 2019-04-02 Development of Upflow Aerobic Granular Sludge Bioreactor (UAGSBR) for Treatment of High-strength Organic Wastewater Hamza, Rania Ahmed Sayed Eid Hamza, R. A. (2019). Development of Upflow Aerobic Granular Sludge Bioreactor (UAGSBR) for Treatment of High-strength Organic Wastewater (Unpublished doctoral thesis). University of Calgary, Calgary, AB. http://hdl.handle.net/1880/110144 doctoral thesis University of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission. Downloaded from PRISM: https://prism.ucalgary.ca UNIVERSITY OF CALGARY Development of Upflow Aerobic Granular Sludge Bioreactor (UAGSBR) for Treatment of High-strength Organic Wastewater by Rania Ahmed Hamza Sayed Eid A THESIS SUBMITTED TO THE FACULTY OF GRADUATE STUDIES IN PARTIAL FULFILMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY GRADUATE PROGRAM IN CIVIL ENGINEERING CALGARY, ALBERTA APRIL, 2019 © Rania Ahmed Hamza Sayed Eid 2019 Abstract Industrial wastewater, typically referred to as high-strength wastewater, is a major source of water pollution due to its elevated organic content. High-strength organic wastewaters are characterized by chemical oxygen demand (COD) concentrations greater than 4000 mg/L. The effluents of these industries need to undergo biological treatment to remove the organic matter. However, conventional biological treatment processes fail to stabilize high-strength wastewater to regulatory limits. -
Influence of Host Plants on the Diversity of Gut Microbiota
Inuence of Host Plants on the Diversity of Gut Microbiota Communities of Fall Armyworm Spodoptera frugiperda J.E. Smith (Lepidoptera: Noctuidae) Juliana Amaka Ugwu ( [email protected] ) Forestry Research Institute of Nigeria https://orcid.org/0000-0003-1862-6864 Fred Asiegbu Department of Forest sciences, University of Helsinki, P.O Box 27, FIN-00014 Helsinki, Finland. Research Article Keywords: host plants, microbial variability, fall armyworm, larvae, bacteria Posted Date: June 30th, 2021 DOI: https://doi.org/10.21203/rs.3.rs-657579/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Page 1/19 Abstract The gut bacteria of insects inuence their host physiology positively, although their mechanism is not yet understood. This study characterized the microbiome of the gut of Spodoptera frugiperda larvae fed with nine different host plants; sugar cane (M1), maize (M2), onion (M3), cucumber (R1), tomato (R2), sweet potato (R3), cabbage L1), green amaranth (L2), and celocia (L3) by sequencing the theV3-V4 hypervariable region of the 16S rRNA gene using Illumina PE250 NovaSeq system. The results revealed that gut bacterial composition varied among larvae samples fed on different host plants. Three alpha diversity indices revealed highly signicant differences on the gut bacterial diversity of S. frugiperda fed with different host plants.. Analysis of Molecular Variance (AMOVA) and Analysis of Similarity (ANOSIM) also revealed signicant variations on the bacterial communities among the various host plants. Five bacteria phyla (Firmicutes, Proteobacteria, Cyanobacteria, Actinobacteria and Bacteroidetes) were prevalent across the larvae samples. Firmicutes (44.1%) was the most dominant phylum followed by Proteobacteria (28.5%). -
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.