Soil Bacterial Communities in Three Rice-Based Cropping Systems
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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 -
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). -
Microbial Community Structure in Rice, Crops, and Pastures Rotation Systems with Different Intensification Levels in the Temperate Region of Uruguay
Supplementary Material Microbial community structure in rice, crops, and pastures rotation systems with different intensification levels in the temperate region of Uruguay Sebastián Martínez Table S1. Relative abundance of the 20 most abundant bacterial taxa of classified sequences. Relative Taxa Phylum abundance 4,90 _Bacillus Firmicutes 3,21 _Bacillus aryabhattai Firmicutes 2,76 _uncultured Prosthecobacter sp. Verrucomicrobia 2,75 _uncultured Conexibacteraceae bacterium Actinobacteria 2,64 _uncultured Conexibacter sp. Actinobacteria 2,14 _Nocardioides sp. Actinobacteria 2,13 _Acidothermus Actinobacteria 1,50 _Bradyrhizobium Proteobacteria 1,23 _Bacillus Firmicutes 1,10 _Pseudolabrys_uncultured bacterium Proteobacteria 1,03 _Bacillus Firmicutes 1,02 _Nocardioidaceae Actinobacteria 0,99 _Candidatus Solibacter Acidobacteria 0,97 _uncultured Sphingomonadaceae bacterium Proteobacteria 0,94 _Streptomyces Actinobacteria 0,91 _Terrabacter_uncultured bacterium Actinobacteria 0,81 _Mycobacterium Actinobacteria 0,81 _uncultured Rubrobacteria Actinobacteria 0,77 _Xanthobacteraceae_uncultured forest soil bacterium Proteobacteria 0,76 _Streptomyces Actinobacteria Table S2. Relative abundance of the 20 most abundant fungal taxa of classified sequences. Relative Taxa Orden abundance. 20,99 _Fusarium oxysporum Ascomycota 11,97 _Aspergillaceae Ascomycota 11,14 _Chaetomium globosum Ascomycota 10,03 _Fungi 5,40 _Cucurbitariaceae; uncultured fungus Ascomycota 5,29 _Talaromyces purpureogenus Ascomycota 3,87 _Neophaeosphaeria; uncultured fungus Ascomycota -
Monitoring of Biofouling Communities in a Portuguese Port Using a Combined Morphological and Metabarcoding Approach Joana Azevedo 1,2,3, Jorge T
www.nature.com/scientificreports OPEN Monitoring of biofouling communities in a Portuguese port using a combined morphological and metabarcoding approach Joana Azevedo 1,2,3, Jorge T. Antunes1,2,3, André M. Machado 1, Vitor Vasconcelos1,2, Pedro N. Leão 1* & Elsa Froufe 1* Marine biofouling remains an unsolved problem with a serious economic impact on several marine associated industries and constitutes a major vector for the spread of non-indigenous species (NIS). The implementation of biofouling monitoring programs allows for better fouling management and also for the early identifcation of NIS. However, few monitoring studies have used recent methods, such as metabarcoding, that can signifcantly enhance the detection of those species. Here, we employed monthly monitoring of biofouling growth on stainless steel plates in the Atlantic Port of Leixões (Northern Portugal), over one year to test the efect of commercial anti-corrosion paint in the communities. Fouling organisms were identifed by combining morpho-taxonomy identifcation with community DNA metabarcoding using multiple markers (16S rRNA, 18S rRNA, 23S rRNA, and COI genes). The dominant colonizers found at this location were hard foulers, namely barnacles and mussels, while other groups of organisms such as cnidarians, bryozoans, and ascidians were also abundant. Regarding the temporal dynamics of the fouling communities, there was a progressive increase in the colonization of cyanobacteria, green algae, and red algae during the sampled period with the replacement of less abundant groups. The tested anticorrosion paint demonstrated to have a signifcant prevention efect against the biofouling community resulting in a biomass reduction. Our study also reports, for the frst time, 29 NIS in this port, substantiating the need for the implementation of recurring biofouling monitoring programs in ports and harbours. -
Systema Naturae 2000 (Phylum, 6 Nov 2017)
The Taxonomicon Systema Naturae 2000 Classification of Domain Bacteria (prokaryotes) down to Phylum Compiled by Drs. S.J. Brands Universal Taxonomic Services 6 Nov 2017 Systema Naturae 2000 - Domain Bacteria - Domain Bacteria Woese et al. 1990 1 Genus †Eoleptonema Schopf 1983, incertae sedis 2 Genus †Primaevifilum Schopf 1983, incertae sedis 3 Genus †Archaeotrichion Schopf 1968, incertae sedis 4 Genus †Siphonophycus Schopf 1968, incertae sedis 5 Genus Bactoderma Tepper and Korshunova 1973 (Approved Lists 1980), incertae sedis 6 Genus Stibiobacter Lyalikova 1974 (Approved Lists 1980), incertae sedis 7.1.1.1.1.1 Superphylum "Proteobacteria" Craig et al. 2010 1.1 Phylum "Alphaproteobacteria" 1.2.1 Phylum "Acidithiobacillia" 1.2.2.1 Phylum "Gammaproteobacteria" 1.2.2.2.1 Candidate phylum Muproteobacteria (RIF23) Anantharaman et al. 2016 1.2.2.2.2 Phylum "Betaproteobacteria" 2 Phylum "Zetaproteobacteria" 7.1.1.1.1.2 Phylum "Deltaproteobacteria_1" 7.1.1.1.2.1.1.1 Phylum "Deltaproteobacteria" [polyphyletic] 7.1.1.1.2.1.1.2.1 Phylum "Deltaproteobacteria_2" 7.1.1.1.2.1.1.2.2 Phylum "Deltaproteobacteria_3" 7.1.1.1.2.1.2 Candidate phylum Dadabacteria (CSP1-2) Hug et al. 2015 7.1.1.1.2.2.1 Candidate phylum "MBNT15" 7.1.1.1.2.2.2 Candidate phylum "Uncultured Bacterial Phylum 10 (UBP10)" Parks et al. 2017 7.1.1.2.1 Phylum "Nitrospirae_1" 7.1.1.2.2 Phylum Chrysiogenetes Garrity and Holt 2001 7.1.2.1.1 Phylum "Nitrospirae" Garrity and Holt 2001 [polyphyletic] 7.1.2.1.2.1.1 Candidate phylum Rokubacteria (CSP1-6) Hug et al. -
Marine Sediments Illuminate Chlamydiae Diversity and Evolution
Supplementary Information for: Marine sediments illuminate Chlamydiae diversity and evolution Jennah E. Dharamshi1, Daniel Tamarit1†, Laura Eme1†, Courtney Stairs1, Joran Martijn1, Felix Homa1, Steffen L. Jørgensen2, Anja Spang1,3, Thijs J. G. Ettema1,4* 1 Department of Cell and Molecular Biology, Science for Life Laboratory, Uppsala University, SE-75123 Uppsala, Sweden 2 Department of Earth Science, Centre for Deep Sea Research, University of Bergen, N-5020 Bergen, Norway 3 Department of Marine Microbiology and Biogeochemistry, NIOZ Royal Netherlands Institute for Sea Research, and Utrecht University, NL-1790 AB Den Burg, The Netherlands 4 Laboratory of Microbiology, Department of Agrotechnology and Food Sciences, Wageningen University, 6708 WE Wageningen, The Netherlands. † These authors contributed equally * Correspondence to: Thijs J. G. Ettema, Email: [email protected] Supplementary Information Supplementary Discussions ............................................................................................................................ 3 1. Evolutionary relationships within the Chlamydiae phylum ............................................................................. 3 2. Insights into the evolution of pathogenicity in Chlamydiaceae ...................................................................... 8 3. Secretion systems and flagella in Chlamydiae .............................................................................................. 13 4. Phylogenetic diversity of chlamydial nucleotide transporters. .................................................................... -
Rumen Bacterial Community of Young and Adult of Reindeer
Open Agriculture. 2020; 5: 10-20 Research Article Kasim A. Laishev, Larisa A. Ilina, Valentina A. Filippova, Timur P. Dunyashev, Georgiy Yu. Laptev, Evgeny V. Abakumov* Rumen bacterial community of young and adult of reindeer (rangifer tarandus) from Yamalo-Nenets Autonomous District of Russia https://doi.org/10.1515/opag-2020-0001 that the presence of the phylum Verrucomicrobia, and the received June 15, 2019; accepted December 3, 2019 genera Stenotrophomonas, Pseudomonas, etc., may be specific to Nenets breed reindeer and have a pattern with Abstract: The aim of the work was to compare the taxo- their presence on various plants and lichens that are part nomic composition of the rumen procariotic community of the reindeer diet. This is partially confirmed by data on in young and adult individuals of Nenets breed rein- plants microbiome taxonomy. deer (Rangifer tarandus ) from the central part of the Yamal region by using the NGS method (next generation Keywords: Reindeer; Rumen; Microbiome; Polar environ- sequencing) and compare the microbiome composition ments; Vegetation materials; Metagenomics; taxonomy of reindeer with the microbiome of their initial vegetation food material. The obtained data showed that the domi- nant position in microbial communities, like that of other ruminants, was occupied by representatives of phylum 1 Introduction Firmicutes and Bacteroidetes, whose total share between observed groups did not differ significantly. The compo- Currently, agriculture in the Russian Arctic is an inten- sition of the microbiome of the rumen of the investigated sively developing part of the local economic. Strong group of animals was completely different from the micro- localization of industrial and agricultural activity in biome structure of the initial vegetation cover. -
Confident Phylogenetic Identification of Uncultured Prokaryotes Through
Environmental Microbiology (2019) 21(7), 2485–2498 doi:10.1111/1462-2920.14636 Confident phylogenetic identification of uncultured prokaryotes through long read amplicon sequencing of the 16S-ITS-23S rRNA operon Joran Martijn ,1 Anders E. Lind,1 Max E. Schön,1 method to those who wish to cost-effectively and confi- Ian Spiertz,1 Lina Juzokaite,1 Ignas Bunikis,2 dently estimate the phylogenetic diversity of prokary- Olga V. Pettersson2 and Thijs J. G. Ettema 1,3* otes in environmental samples at high throughput. 1Department of Cell and Molecular Biology, Science for Life Laboratory, Uppsala University, SE-75123, Uppsala, Sweden. Introduction 2Science for Life Laboratory, Uppsala University, The 16S rRNA gene has been used for decades to phylo- SE-75185, Uppsala, Sweden. genetically classify bacteria and archaea (Woese and Fox, 3 Laboratory of Microbiology, Department of 1977). The gene excels in this respect because of its uni- Agrotechnology and Food Sciences, Wageningen versal occurrence, resistance to horizontal gene transfer University, Stippeneng 4, 6708WE, Wageningen, and high degree of conservation (Woese, 1987; Green The Netherlands. and Noller, 1997). Highly conserved regions are inter- spersed with highly variable regions, allowing for phyloge- Summary netic classification at species and higher taxonomic levels. In addition, the gene has proven to be an excellent target Amplicon sequencing of the 16S rRNA gene is the pre- for studies aiming to quantify the taxonomic composition dominant method to quantify microbial compositions of microbial communities via high-throughput PCR and to discover novel lineages. However, traditional amplicon sequencing (Doolittle, 1999). Primers are usually short amplicons often do not contain enough informa- designed such that they anneal to stretches of conserved tion to confidently resolve their phylogeny. -
Fernanda , A. Metal Corrosion and Biological H2S Cycling in Closed
Metal corrosion and biological H2S cycling in closed systems Fernanda Abreu* Instituto de Microbiologia Paulo de Góes, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil; [email protected]* Abstract Sulfate reducing bacteria produce H2S during growth. This gas is toxic and is associated with corrosion in industrial systems. In the environment purple sulfur bacteria, green sulfur bacteria and sulfur oxidizing bacteria use the H2S produced by sulfate reducing bacteria as electron donors. The major aim of this project is to evaluate the possibility of using H2S consuming bacteria to lower H2S concentration and prevent corrosion. Introduction In metal corrosion process the surface of the metal is destroyed due to certain external factors that lead to its chemical or electrochemical change to form more stable compounds. The simplified explanation of the corrosion process is the oxidation of at an anode (corroded end releasing electrons) and the reduction of a substance at a cathode. Corrosion mechanisms are very diverse and can be based on inorganic physicochemical reactions and/or biologically influenced. Microbiologically influenced corrosion (MIC) is a natural process that occurs in the environment as a result of metabolic activity of microorganisms. Microbial colonization and biofilm formation on metal surfaces modify the electrochemical conditions at the metal–solution interface, which usually have positive influence on corrosion process. MIC of steel generates approximately US$ 100 million financial losses per annum in the United States (Muyzer and Stams, 2008). In industrial settings, especially in petroleum, gas and shipping industries, sulfate reducing bacteria (SRB) are a major concern. SRB are ubiquitous in anoxic habitats and have an important role in both the sulfur and carbon cycles (Muyzer and Stams, 2008). -
BEING Aquifex Aeolicus: UNTANGLING a HYPERTHERMOPHILE‘S CHECKERED PAST
BEING Aquifex aeolicus: UNTANGLING A HYPERTHERMOPHILE‘S CHECKERED PAST by Robert J.M. Eveleigh Submitted in partial fulfillment of the requirements for the degree of Master of Science at Dalhousie University Halifax, Nova Scotia December 2011 © Copyright by Robert J.M. Eveleigh, 2011 DALHOUSIE UNIVERSITY DEPARTMENT OF COMPUTATIONAL BIOLOGY AND BIOINFORMATICS The undersigned hereby certify that they have read and recommend to the Faculty of Graduate Studies for acceptance a thesis entitled ―BEING Aquifex aeolicus: UNTANGLING A HYPERTHERMOPHILE‘S CHECKERED PAST‖ by Robert J.M. Eveleigh in partial fulfillment of the requirements for the degree of Master of Science. Dated: December 13, 2011 Co-Supervisors: _________________________________ _________________________________ Readers: _________________________________ ii DALHOUSIE UNIVERSITY DATE: December 13, 2011 AUTHOR: Robert J.M. Eveleigh TITLE: BEING Aquifex aeolicus: UNTANGLING A HYPERTHERMOPHILE‘S CHECKERED PAST DEPARTMENT OR SCHOOL: Department of Computational Biology and Bioinformatics DEGREE: MSc CONVOCATION: May YEAR: 2012 Permission is herewith granted to Dalhousie University to circulate and to have copied for non-commercial purposes, at its discretion, the above title upon the request of individuals or institutions. I understand that my thesis will be electronically available to the public. The author reserves other publication rights, and neither the thesis nor extensive extracts from it may be printed or otherwise reproduced without the author‘s written permission. The author attests that permission has been obtained for the use of any copyrighted material appearing in the thesis (other than the brief excerpts requiring only proper acknowledgement in scholarly writing), and that all such use is clearly acknowledged. _______________________________ Signature of Author iii TABLE OF CONTENTS List of Tables .................................................................................................................... -
Characterizing of Novel Magnetotactic Bacteria Using a Combination of Magnetic
bioRxiv preprint doi: https://doi.org/10.1101/682252; this version posted June 27, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 1 Characterizing of novel magnetotactic bacteria using a combination of magnetic 2 column separation (MTB-CoSe) and mamK-specific primers 3 Veronika V. Koziaeva1, Lolita M. Alekseeva1,2, Maria M. Uzun1,2, Pedro Leão3, 4 Marina V. Sukhacheva1, Ekaterina O. Patutina1, Tatyana V. Kolganova1, Denis S. 5 Grouzdev1* 6 7 1 Institute of Bioengineering, Research Center of Biotechnology of the Russian 8 Academy of Sciences, Moscow, 119071, Russia 9 2 Lomonosov Moscow State University, Moscow, 199991, Russia, 10 3 Instituto de Microbiologia Professor Paulo de Góes, Universidade Federal do Rio de 11 Janeiro, Rio de Janeiro, RJ, 21941-902, Brazil 12 13 *Corresponding author 14 Denis S. Grouzdev. Moscow, Prospect 60 Letiya Oktyabrya 7 bld 1, 117312, Russia. 15 +74991351240, [email protected] 16 17 Running title 18 Novel approaches for MTB investigation 19 20 ABSTRACT 21 Magnetotactic bacteria (MTB) belong to different taxonomic groups according to 16S 22 rRNA or whole-genome phylogeny. Magnetotactic representatives of the class 23 Alphaproteobacteria and the order Magnetococcales are the most frequently isolated 24 MTB in environmental samples. This bias is due in part to limitations of currently 1 bioRxiv preprint doi: https://doi.org/10.1101/682252; this version posted June 27, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. -
Evolution of Predicted Acid Resistance Mechanisms in the Extremely Acidophilic Leptospirillum Genus
G C A T T A C G G C A T genes Article Evolution of Predicted Acid Resistance Mechanisms in the Extremely Acidophilic Leptospirillum Genus Eva Vergara 1, Gonzalo Neira 1 , Carolina González 1,2, Diego Cortez 1, Mark Dopson 3 and David S. Holmes 1,2,4,* 1 Center for Bioinformatics and Genome Biology, Fundación Ciencia & Vida, Santiago 7780272, Chile; [email protected] (E.V.); [email protected] (G.N.); [email protected] (C.G.); [email protected] (D.C.) 2 Centro de Genómica y Bioinformática, Facultad de Ciencias, Universidad Mayor, Santiago 8580745, Chile 3 Centre for Ecology and Evolution in Microbial Model Systems, Linnaeus University, SE-391 82 Kalmar, Sweden; [email protected] 4 Universidad San Sebastian, Santiago 7510156, Chile * Correspondence: [email protected] Received: 31 December 2019; Accepted: 4 March 2020; Published: 3 April 2020 Abstract: Organisms that thrive in extremely acidic environments ( pH 3.5) are of widespread ≤ importance in industrial applications, environmental issues, and evolutionary studies. Leptospirillum spp. constitute the only extremely acidophilic microbes in the phylogenetically deep-rooted bacterial phylum Nitrospirae. Leptospirilli are Gram-negative, obligatory chemolithoautotrophic, aerobic, ferrous iron oxidizers. This paper predicts genes that Leptospirilli use to survive at low pH and infers their evolutionary trajectory. Phylogenetic and other bioinformatic approaches suggest that these genes can be classified into (i) “first line of defense”, involved in the prevention of the entry of protons into the cell, and (ii) neutralization or expulsion of protons that enter the cell. The first line of defense includes potassium transporters, predicted to form an inside positive membrane potential, spermidines, hopanoids, and Slps (starvation-inducible outer membrane proteins).