Effect of Long-Term Organic and Mineral Fertilization Strategies on Rhizosphere Microbiota Assemblage and Performance of Lettuce
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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. -
Corynebacterium Sp.|NML98-0116
1 Limnochorda_pilosa~GCF_001544015.1@NZ_AP014924=Bacteria-Firmicutes-Limnochordia-Limnochordales-Limnochordaceae-Limnochorda-Limnochorda_pilosa 0,9635 Ammonifex_degensii|KC4~GCF_000024605.1@NC_013385=Bacteria-Firmicutes-Clostridia-Thermoanaerobacterales-Thermoanaerobacteraceae-Ammonifex-Ammonifex_degensii 0,985 Symbiobacterium_thermophilum|IAM14863~GCF_000009905.1@NC_006177=Bacteria-Firmicutes-Clostridia-Clostridiales-Symbiobacteriaceae-Symbiobacterium-Symbiobacterium_thermophilum Varibaculum_timonense~GCF_900169515.1@NZ_LT827020=Bacteria-Actinobacteria-Actinobacteria-Actinomycetales-Actinomycetaceae-Varibaculum-Varibaculum_timonense 1 Rubrobacter_aplysinae~GCF_001029505.1@NZ_LEKH01000003=Bacteria-Actinobacteria-Rubrobacteria-Rubrobacterales-Rubrobacteraceae-Rubrobacter-Rubrobacter_aplysinae 0,975 Rubrobacter_xylanophilus|DSM9941~GCF_000014185.1@NC_008148=Bacteria-Actinobacteria-Rubrobacteria-Rubrobacterales-Rubrobacteraceae-Rubrobacter-Rubrobacter_xylanophilus 1 Rubrobacter_radiotolerans~GCF_000661895.1@NZ_CP007514=Bacteria-Actinobacteria-Rubrobacteria-Rubrobacterales-Rubrobacteraceae-Rubrobacter-Rubrobacter_radiotolerans Actinobacteria_bacterium_rbg_16_64_13~GCA_001768675.1@MELN01000053=Bacteria-Actinobacteria-unknown_class-unknown_order-unknown_family-unknown_genus-Actinobacteria_bacterium_rbg_16_64_13 1 Actinobacteria_bacterium_13_2_20cm_68_14~GCA_001914705.1@MNDB01000040=Bacteria-Actinobacteria-unknown_class-unknown_order-unknown_family-unknown_genus-Actinobacteria_bacterium_13_2_20cm_68_14 1 0,9803 Thermoleophilum_album~GCF_900108055.1@NZ_FNWJ01000001=Bacteria-Actinobacteria-Thermoleophilia-Thermoleophilales-Thermoleophilaceae-Thermoleophilum-Thermoleophilum_album -
Downloaded 13 April 2017); Using Diamond
bioRxiv preprint doi: https://doi.org/10.1101/347021; this version posted June 14, 2018. 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 2 3 4 5 Re-evaluating the salty divide: phylogenetic specificity of 6 transitions between marine and freshwater systems 7 8 9 10 Sara F. Pavera, Daniel J. Muratorea, Ryan J. Newtonb, Maureen L. Colemana# 11 a 12 Department of the Geophysical Sciences, University of Chicago, Chicago, Illinois, USA 13 b School of Freshwater Sciences, University of Wisconsin Milwaukee, Milwaukee, Wisconsin, USA 14 15 Running title: Marine-freshwater phylogenetic specificity 16 17 #Address correspondence to Maureen Coleman, [email protected] 18 bioRxiv preprint doi: https://doi.org/10.1101/347021; this version posted June 14, 2018. 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. 19 Abstract 20 Marine and freshwater microbial communities are phylogenetically distinct and transitions 21 between habitat types are thought to be infrequent. We compared the phylogenetic diversity of 22 marine and freshwater microorganisms and identified specific lineages exhibiting notably high or 23 low similarity between marine and freshwater ecosystems using a meta-analysis of 16S rRNA 24 gene tag-sequencing datasets. As expected, marine and freshwater microbial communities 25 differed in the relative abundance of major phyla and contained habitat-specific lineages; at the 26 same time, however, many shared taxa were observed in both environments. 27 Betaproteobacteria and Alphaproteobacteria sequences had the highest similarity between 28 marine and freshwater sample pairs. -
The Bacterial Communities of Sand-Like Surface Soils of the San Rafael Swell (Utah, USA) and the Desert of Maine (USA) Yang Wang
The bacterial communities of sand-like surface soils of the San Rafael Swell (Utah, USA) and the Desert of Maine (USA) Yang Wang To cite this version: Yang Wang. The bacterial communities of sand-like surface soils of the San Rafael Swell (Utah, USA) and the Desert of Maine (USA). Agricultural sciences. Université Paris-Saclay, 2015. English. NNT : 2015SACLS120. tel-01261518 HAL Id: tel-01261518 https://tel.archives-ouvertes.fr/tel-01261518 Submitted on 25 Jan 2016 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. NNT : 2015SACLS120 THESE DE DOCTORAT DE L’UNIVERSITE PARIS-SACLAY, préparée à l’Université Paris-Sud ÉCOLE DOCTORALE N°577 Structure et Dynamique des Systèmes Vivants Spécialité de doctorat : Sciences de la Vie et de la Santé Par Mme Yang WANG The bacterial communities of sand-like surface soils of the San Rafael Swell (Utah, USA) and the Desert of Maine (USA) Thèse présentée et soutenue à Orsay, le 23 Novembre 2015 Composition du Jury : Mme. Marie-Claire Lett , Professeure, Université Strasbourg, Rapporteur Mme. Corinne Cassier-Chauvat , Directeur de Recherche, CEA, Rapporteur M. Armel Guyonvarch, Professeur, Université Paris-Sud, Président du Jury M. -
Phylogenetic Conservation of Bacterial Responses to Soil Nitrogen Addition Across Continents
ARTICLE https://doi.org/10.1038/s41467-019-10390-y OPEN Phylogenetic conservation of bacterial responses to soil nitrogen addition across continents Kazuo Isobe1,2, Steven D. Allison 1,3, Banafshe Khalili1, Adam C. Martiny 1,3 & Jennifer B.H. Martiny1 Soil microbial communities are intricately linked to ecosystem functioning such as nutrient cycling; therefore, a predictive understanding of how these communities respond to envir- onmental changes is of great interest. Here, we test whether phylogenetic information can 1234567890():,; predict the response of bacterial taxa to nitrogen (N) addition. We analyze the composition of soil bacterial communities in 13 field experiments across 5 continents and find that the N response of bacteria is phylogenetically conserved at each location. Remarkably, the phylo- genetic pattern of N responses is similar when merging data across locations. Thus, we can identify bacterial clades – the size of which are highly variable across the bacterial tree – that respond consistently to N addition across locations. Our findings suggest that a phylogenetic approach may be useful in predicting shifts in microbial community composition in the face of other environmental changes. 1 Department of Ecology and Evolutionary Biology, University of California, Irvine, CA 92697, USA. 2 Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo 113-8657, Japan. 3 Department of Earth System Science, University of California, Irvine, CA 92697, USA. Correspondence and requests for materials should be addressed to K.I. (email: [email protected]) or to J.B.H.M. (email: [email protected]) NATURE COMMUNICATIONS | (2019) 10:2499 | https://doi.org/10.1038/s41467-019-10390-y | www.nature.com/naturecommunications 1 ARTICLE NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-10390-y t is well established that environmental changes such as soil up the signal of vertical inherence and result in a random dis- warming and nutrient addition alter the composition of bac- tribution of response across the phylogeny6. -
Microbiome Associated with Slovak Traditional Ewe's Milk Lump Cheese
processes Communication Microbiome Associated with Slovak Traditional Ewe’s Milk Lump Cheese Andrea Lauková 1,* , Lenka Micenková 2, Monika Pogány Simonová 1 , Valentína Focková 1 , Jana Ўcerbová 1, Martin Tomáška 3, Emília Dvorož ˇnáková 4 and Miroslav Kološta 3 1 Institute of Animal Physiology, Centre of Biosciences of the Slovak Academy of Sciences, Šoltésovej 4-6, 040 01 Košice, Slovakia; [email protected] (M.P.S.); [email protected] (V.F.); [email protected] (J.Š.) 2 RECETOX, Faculty of Science, Masaryk University, Kamenice 5, 625 00 Brno, Czech Republic; [email protected] 3 Research Dairy Institute, a.s. Dlhá 95, 010 00 Žilina, Slovakia; [email protected] (M.T.); [email protected] (M.K.) 4 Parasitological Institute of the Slovak Academy of Sciences, Šoltésovej 4-6, 040 01 Košice, Slovakia; [email protected] * Correspondence: [email protected]; Tel.: +421-557-922-964; Fax: +421-557-827-842 Abstract: Worldwide consumers increasingly demand traditional/local products, to which those made from ewe’s milk belong. In Slovakia, dairy products made from ewe’s milk have a long tradition. A total of seventeen farmhouse fresh ewe’s milk lump cheeses from various local farm producers in central Slovakia were sampled at farms and then analyzed. Based on the sequencing data analysis, the phylum Firmicutes dominated (60.92%) in ewe’s lump cheeses, followed with the phylum Proteobacteria (38.23%), Actinobacteria (0.38%) and Bacteroidetes (0.35%). The phylum Citation: Lauková, A.; Micenková, Firmicutes was represented by six genera, among which the highest amount possessed the genus L.; Pogány Simonová, M.; Focková, V.; Streptococcus (41.13%) followed with the genus Lactococcus (8.54%), Fructobacillus (3.91%), Enterococcus Ўcerbová,J.; Tomáška, M.; (3.18%), Staphylococcus (1.80%) and the genus Brochotrix (0.08%). -
Wedding Higher Taxonomic Ranks with Metabolic Signatures Coded in Prokaryotic Genomes
Wedding higher taxonomic ranks with metabolic signatures coded in prokaryotic genomes Gregorio Iraola*, Hugo Naya* Corresponding authors: E-mail: [email protected], [email protected] This PDF file includes: Supplementary Table 1 Supplementary Figures 1 to 4 Supplementary Methods SUPPLEMENTARY TABLES Supplementary Tab. 1 Supplementary Tab. 1. Full prediction for the set of 108 external genomes used as test. genome domain phylum class order family genus prediction alphaproteobacterium_LFTY0 Bacteria Proteobacteria Alphaproteobacteria Rhodobacterales Rhodobacteraceae Unknown candidatus_nasuia_deltocephalinicola_PUNC_CP013211 Bacteria Proteobacteria Gammaproteobacteria Unknown Unknown Unknown candidatus_sulcia_muelleri_PUNC_CP013212 Bacteria Bacteroidetes Flavobacteriia Flavobacteriales NA Candidatus Sulcia deinococcus_grandis_ATCC43672_BCMS0 Bacteria Deinococcus-Thermus Deinococci Deinococcales Deinococcaceae Deinococcus devosia_sp_H5989_CP011300 Bacteria Proteobacteria Unknown Unknown Unknown Unknown micromonospora_RV43_LEKG0 Bacteria Actinobacteria Actinobacteria Micromonosporales Micromonosporaceae Micromonospora nitrosomonas_communis_Nm2_CP011451 Bacteria Proteobacteria Betaproteobacteria Nitrosomonadales Nitrosomonadaceae Unknown nocardia_seriolae_U1_BBYQ0 Bacteria Actinobacteria Actinobacteria Corynebacteriales Nocardiaceae Nocardia nocardiopsis_RV163_LEKI01 Bacteria Actinobacteria Actinobacteria Streptosporangiales Nocardiopsaceae Nocardiopsis oscillatoriales_cyanobacterium_MTP1_LNAA0 Bacteria Cyanobacteria NA Oscillatoriales -
Data of Read Analyses for All 20 Fecal Samples of the Egyptian Mongoose
Supplementary Table S1 – Data of read analyses for all 20 fecal samples of the Egyptian mongoose Number of Good's No-target Chimeric reads ID at ID Total reads Low-quality amplicons Min length Average length Max length Valid reads coverage of amplicons amplicons the species library (%) level 383 2083 33 0 281 1302 1407.0 1442 1769 1722 99.72 466 2373 50 1 212 1310 1409.2 1478 2110 1882 99.53 467 1856 53 3 187 1308 1404.2 1453 1613 1555 99.19 516 2397 36 0 147 1316 1412.2 1476 2214 2161 99.10 460 2657 297 0 246 1302 1416.4 1485 2114 1169 98.77 463 2023 34 0 189 1339 1411.4 1561 1800 1677 99.44 471 2290 41 0 359 1325 1430.1 1490 1890 1833 97.57 502 2565 31 0 227 1315 1411.4 1481 2307 2240 99.31 509 2664 62 0 325 1316 1414.5 1463 2277 2073 99.56 674 2130 34 0 197 1311 1436.3 1463 1899 1095 99.21 396 2246 38 0 106 1332 1407.0 1462 2102 1953 99.05 399 2317 45 1 47 1323 1420.0 1465 2224 2120 98.65 462 2349 47 0 394 1312 1417.5 1478 1908 1794 99.27 501 2246 22 0 253 1328 1442.9 1491 1971 1949 99.04 519 2062 51 0 297 1323 1414.5 1534 1714 1632 99.71 636 2402 35 0 100 1313 1409.7 1478 2267 2206 99.07 388 2454 78 1 78 1326 1406.6 1464 2297 1929 99.26 504 2312 29 0 284 1335 1409.3 1446 1999 1945 99.60 505 2702 45 0 48 1331 1415.2 1475 2609 2497 99.46 508 2380 30 1 210 1329 1436.5 1478 2139 2133 99.02 1 Supplementary Table S2 – PERMANOVA test results of the microbial community of Egyptian mongoose comparison between female and male and between non-adult and adult. -
Compile.Xlsx
Silva OTU GS1A % PS1B % Taxonomy_Silva_132 otu0001 0 0 2 0.05 Bacteria;Acidobacteria;Acidobacteria_un;Acidobacteria_un;Acidobacteria_un;Acidobacteria_un; otu0002 0 0 1 0.02 Bacteria;Acidobacteria;Acidobacteriia;Solibacterales;Solibacteraceae_(Subgroup_3);PAUC26f; otu0003 49 0.82 5 0.12 Bacteria;Acidobacteria;Aminicenantia;Aminicenantales;Aminicenantales_fa;Aminicenantales_ge; otu0004 1 0.02 7 0.17 Bacteria;Acidobacteria;AT-s3-28;AT-s3-28_or;AT-s3-28_fa;AT-s3-28_ge; otu0005 1 0.02 0 0 Bacteria;Acidobacteria;Blastocatellia_(Subgroup_4);Blastocatellales;Blastocatellaceae;Blastocatella; otu0006 0 0 2 0.05 Bacteria;Acidobacteria;Holophagae;Subgroup_7;Subgroup_7_fa;Subgroup_7_ge; otu0007 1 0.02 0 0 Bacteria;Acidobacteria;ODP1230B23.02;ODP1230B23.02_or;ODP1230B23.02_fa;ODP1230B23.02_ge; otu0008 1 0.02 15 0.36 Bacteria;Acidobacteria;Subgroup_17;Subgroup_17_or;Subgroup_17_fa;Subgroup_17_ge; otu0009 9 0.15 41 0.99 Bacteria;Acidobacteria;Subgroup_21;Subgroup_21_or;Subgroup_21_fa;Subgroup_21_ge; otu0010 5 0.08 50 1.21 Bacteria;Acidobacteria;Subgroup_22;Subgroup_22_or;Subgroup_22_fa;Subgroup_22_ge; otu0011 2 0.03 11 0.27 Bacteria;Acidobacteria;Subgroup_26;Subgroup_26_or;Subgroup_26_fa;Subgroup_26_ge; otu0012 0 0 1 0.02 Bacteria;Acidobacteria;Subgroup_5;Subgroup_5_or;Subgroup_5_fa;Subgroup_5_ge; otu0013 1 0.02 13 0.32 Bacteria;Acidobacteria;Subgroup_6;Subgroup_6_or;Subgroup_6_fa;Subgroup_6_ge; otu0014 0 0 1 0.02 Bacteria;Acidobacteria;Subgroup_6;Subgroup_6_un;Subgroup_6_un;Subgroup_6_un; otu0015 8 0.13 30 0.73 Bacteria;Acidobacteria;Subgroup_9;Subgroup_9_or;Subgroup_9_fa;Subgroup_9_ge; -
Inter-Domain Horizontal Gene Transfer of Nickel-Binding Superoxide Dismutase 2 Kevin M
bioRxiv preprint doi: https://doi.org/10.1101/2021.01.12.426412; this version posted January 13, 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 Inter-domain Horizontal Gene Transfer of Nickel-binding Superoxide Dismutase 2 Kevin M. Sutherland1,*, Lewis M. Ward1, Chloé-Rose Colombero1, David T. Johnston1 3 4 1Department of Earth and Planetary Science, Harvard University, Cambridge, MA 02138 5 *Correspondence to KMS: [email protected] 6 7 Abstract 8 The ability of aerobic microorganisms to regulate internal and external concentrations of the 9 reactive oxygen species (ROS) superoxide directly influences the health and viability of cells. 10 Superoxide dismutases (SODs) are the primary regulatory enzymes that are used by 11 microorganisms to degrade superoxide. SOD is not one, but three separate, non-homologous 12 enzymes that perform the same function. Thus, the evolutionary history of genes encoding for 13 different SOD enzymes is one of convergent evolution, which reflects environmental selection 14 brought about by an oxygenated atmosphere, changes in metal availability, and opportunistic 15 horizontal gene transfer (HGT). In this study we examine the phylogenetic history of the protein 16 sequence encoding for the nickel-binding metalloform of the SOD enzyme (SodN). A comparison 17 of organismal and SodN protein phylogenetic trees reveals several instances of HGT, including 18 multiple inter-domain transfers of the sodN gene from the bacterial domain to the archaeal domain. -
And Allochthonous-Like Dissolved Organic Matter
fmicb-10-02579 November 5, 2019 Time: 17:10 # 1 ORIGINAL RESEARCH published: 07 November 2019 doi: 10.3389/fmicb.2019.02579 Distinct Coastal Microbiome Populations Associated With Autochthonous- and Allochthonous-Like Dissolved Organic Matter Elias Broman1,2*, Eero Asmala3, Jacob Carstensen4, Jarone Pinhassi1 and Mark Dopson1 1 Centre for Ecology and Evolution in Microbial Model Systems, Linnaeus University, Kalmar, Sweden, 2 Department of Ecology, Environment and Plant Sciences, Stockholm University, Stockholm, Sweden, 3 Tvärminne Zoological Station, University of Helsinki, Hanko, Finland, 4 Department of Bioscience, Aarhus University, Roskilde, Denmark Coastal zones are important transitional areas between the land and sea, where both terrestrial and phytoplankton supplied dissolved organic matter (DOM) are respired or transformed. As climate change is expected to increase river discharge and water Edited by: temperatures, DOM from both allochthonous and autochthonous sources is projected Eva Ortega-Retuerta, to increase. As these transformations are largely regulated by bacteria, we analyzed Laboratoire d’Océanographie microbial community structure data in relation to a 6-month long time-series dataset of Microbienne (LOMIC), France DOM characteristics from Roskilde Fjord and adjacent streams, Denmark. The results Reviewed by: Craig E. Nelson, showed that the microbial community composition in the outer estuary (closer to the University of Hawai‘i at Manoa,¯ sea) was largely associated with salinity and nutrients, while the inner estuary formed United States Scott Michael Gifford, two clusters linked to either nutrients plus allochthonous DOM or autochthonous DOM University of North Carolina at Chapel characteristics. In contrast, the microbial community composition in the streams was Hill, United States found to be mainly associated with allochthonous DOM characteristics. -
Genomic Features of Bacterial Adaptation to Plants
ARTICLES https://doi.org/10.1038/s41588-017-0012-9 Genomic features of bacterial adaptation to plants Asaf Levy 1, Isai Salas Gonzalez2,3, Maximilian Mittelviefhaus4, Scott Clingenpeel 1, Sur Herrera Paredes 2,3,15, Jiamin Miao5,16, Kunru Wang5, Giulia Devescovi6, Kyra Stillman1, Freddy Monteiro2,3, Bryan Rangel Alvarez1, Derek S. Lundberg2,3, Tse-Yuan Lu7, Sarah Lebeis8, Zhao Jin9, Meredith McDonald2,3, Andrew P. Klein2,3, Meghan E. Feltcher2,3,17, Tijana Glavina Rio1, Sarah R. Grant 2, Sharon L. Doty 10, Ruth E. Ley 11, Bingyu Zhao5, Vittorio Venturi6, Dale A. Pelletier7, Julia A. Vorholt4, Susannah G. Tringe 1,12*, Tanja Woyke 1,12* and Jeffery L. Dangl 2,3,13,14* Plants intimately associate with diverse bacteria. Plant-associated bacteria have ostensibly evolved genes that enable them to adapt to plant environments. However, the identities of such genes are mostly unknown, and their functions are poorly characterized. We sequenced 484 genomes of bacterial isolates from roots of Brassicaceae, poplar, and maize. We then com- pared 3,837 bacterial genomes to identify thousands of plant-associated gene clusters. Genomes of plant-associated bacteria encode more carbohydrate metabolism functions and fewer mobile elements than related non-plant-associated genomes do. We experimentally validated candidates from two sets of plant-associated genes: one involved in plant colonization, and the other serving in microbe–microbe competition between plant-associated bacteria. We also identified 64 plant-associated pro- tein domains that potentially mimic plant domains; some are shared with plant-associated fungi and oomycetes. This work expands the genome-based understanding of plant–microbe interactions and provides potential leads for efficient and sustain- able agriculture through microbiome engineering.