Genome Sequence of Carotenoid Producing Sphingobacteriaceae Bacterium SH-48 Isolated from Freshwater in Korea
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Table S1. Bacterial Otus from 16S Rrna
Table S1. Bacterial OTUs from 16S rRNA sequencing analysis including only taxa which were identified to genus level (those OTUs identified as Ambiguous taxa, uncultured bacteria or without genus-level identifications were omitted). OTUs with only a single representative across all samples were also omitted. Taxa are listed from most to least abundant. Pitcher Plant Sample Class Order Family Genus CB1p1 CB1p2 CB1p3 CB1p4 CB5p234 Sp3p2 Sp3p4 Sp3p5 Sp5p23 Sp9p234 sum Gammaproteobacteria Legionellales Coxiellaceae Rickettsiella 1 2 0 1 2 3 60194 497 1038 2 61740 Alphaproteobacteria Rhodospirillales Rhodospirillaceae Azospirillum 686 527 10513 485 11 3 2 7 16494 8201 36929 Sphingobacteriia Sphingobacteriales Sphingobacteriaceae Pedobacter 455 302 873 103 16 19242 279 55 760 1077 23162 Betaproteobacteria Burkholderiales Oxalobacteraceae Duganella 9060 5734 2660 40 1357 280 117 29 129 35 19441 Gammaproteobacteria Pseudomonadales Pseudomonadaceae Pseudomonas 3336 1991 3475 1309 2819 233 1335 1666 3046 218 19428 Betaproteobacteria Burkholderiales Burkholderiaceae Paraburkholderia 0 1 0 1 16051 98 41 140 23 17 16372 Sphingobacteriia Sphingobacteriales Sphingobacteriaceae Mucilaginibacter 77 39 3123 20 2006 324 982 5764 408 21 12764 Gammaproteobacteria Pseudomonadales Moraxellaceae Alkanindiges 9 10 14 7 9632 6 79 518 1183 65 11523 Betaproteobacteria Neisseriales Neisseriaceae Aquitalea 0 0 0 0 1 1577 5715 1471 2141 177 11082 Flavobacteriia Flavobacteriales Flavobacteriaceae Flavobacterium 324 219 8432 533 24 123 7 15 111 324 10112 Alphaproteobacteria -
Multilevel Social Structure and Diet Shape the Gut Microbiota of the Gelada Monkey, the Only Grazing Primate Pål Trosvik 1*, Eric J
Multilevel social structure and diet shape the gut microbiota of the gelada monkey, the only grazing primate Pål Trosvik 1*, Eric J. de Muinck 1, Eli K. Rueness 1, Peter J. Fashing 2, Evan C. Beierschmitt 3, Kadie R. Callingham 4, Jacob B. Kraus 5, Thomas H. Trew 6, Amera Moges 7, Addisu Mekonnen 1,8 , Vivek V. Venkataraman 9, Nga Nguyen 2 Supplementary information: Supplementary Figures 1-17, Supplementary Tables 1-10. Figure S1. Relative abundances of the eight most prevalent phyla in the gelada samples. Data are shown for all samples combined, as well as split into samples collected during the dry or wet season. The category “Other” includes OTUs that could not be classified to the phylum level with a probability higher than 0.5. Figure S2. Between-sample weighted (a) and unweighted (b) UniFrac distances in gelada samples collected during the dry (n=142) or the wet (n=174) season. Each box represents the interquartile range, with the horizontal lines representing the medians and the whiskers representing 1.5 times the interquartile range. Points outside the whiskers represent outliers. For both comparisons the difference in mean distance was highly significant (t<<0.001 for both comparisons, unpaired t-tests). Figure S3. Non-metric multidimensional scaling of all primate samples based on weighted (a) and unweighted (b) UniFrac distances. The plot shows the two main dimensions of variation, with plotted characters color coded according to sample type. Clustering according to samples type was highly significant, explaining 46.2% and 63.1% of between-sample variation, respectively (p<<0.001 for both tests, PERMANOVA). -
Within-Arctic Horizontal Gene Transfer As a Driver of Convergent Evolution in Distantly Related 1 Microalgae 2 Richard G. Do
bioRxiv preprint doi: https://doi.org/10.1101/2021.07.31.454568; this version posted August 2, 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 Within-Arctic horizontal gene transfer as a driver of convergent evolution in distantly related 2 microalgae 3 Richard G. Dorrell*+1,2, Alan Kuo3*, Zoltan Füssy4, Elisabeth Richardson5,6, Asaf Salamov3, Nikola 4 Zarevski,1,2,7 Nastasia J. Freyria8, Federico M. Ibarbalz1,2,9, Jerry Jenkins3,10, Juan Jose Pierella 5 Karlusich1,2, Andrei Stecca Steindorff3, Robyn E. Edgar8, Lori Handley10, Kathleen Lail3, Anna Lipzen3, 6 Vincent Lombard11, John McFarlane5, Charlotte Nef1,2, Anna M.G. Novák Vanclová1,2, Yi Peng3, Chris 7 Plott10, Marianne Potvin8, Fabio Rocha Jimenez Vieira1,2, Kerrie Barry3, Joel B. Dacks5, Colomban de 8 Vargas2,12, Bernard Henrissat11,13, Eric Pelletier2,14, Jeremy Schmutz3,10, Patrick Wincker2,14, Chris 9 Bowler1,2, Igor V. Grigoriev3,15, and Connie Lovejoy+8 10 11 1 Institut de Biologie de l'ENS (IBENS), Département de Biologie, École Normale Supérieure, CNRS, 12 INSERM, Université PSL, 75005 Paris, France 13 2CNRS Research Federation for the study of Global Ocean Systems Ecology and Evolution, 14 FR2022/Tara Oceans GOSEE, 3 rue Michel-Ange, 75016 Paris, France 15 3 US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, 1 16 Cyclotron Road, Berkeley, -
Pedobacter Ghigonii Sp. Nov., Isolated from the Microbiota of the Planarian Schmidtea Mediterranea
Article Pedobacter ghigonii sp. nov., Isolated from the Microbiota of the Planarian Schmidtea mediterranea Luis Johnson Kangale 1,2 , Didier Raoult 2,3,4 and Fournier Pierre-Edouard 1,2,* 1 UMR VITROME, SSA, Aix-Marseille University, IRD, AP-HM, IHU-Méditerranée-Infection, 13385 Marseille, France; [email protected] 2 IHU-Méditerranée-Infection, 13385 Marseille, France; [email protected] 3 Department of Epidemiology of Parasitic Diseases, Aix Marseille University, IRD, AP-HM, MEPHI, 13385 Marseille, France 4 Special Infectious Agents Unit, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 21589, Saudi Arabia * Correspondence: [email protected]; Tel.: +33-0413732401; Fax: +33-0413732402 Abstract: The planarian S. mediterranea is a platyhelminth with worldwide distribution that can regenerate any part of its body after amputation and has the capacity to eliminate a large spectrum of human bacterial pathogens. Surprisingly, the microbiota of S. mediterranea remains poorly investi- gated. Using the culturomics strategy to study the bacterial component of planarians, we isolated a new bacterial strain, Marseille-Q2390, which we characterized with the taxono-genomic approach that associates phenotypic assays and genome sequencing and analysis. Strain Marseille-Q2390 exhibited a 16S rRNA sequence similarity of 99.36% with Pedobacter kyungheensis strain THG-T17T, the closest phylogenetic neighbor. It is a white-pigmented, Gram-negative, and rod-shaped bacterium. It grows in aerobic conditions and belongs to the family Sphingobacteriaceae. The genome of strain Marseille-Q2390 is 5,919,359 bp-long, with a G + C content of 40.3%. By comparing its genome with Citation: Kangale, L.J.; Raoult, D.; other closely related strains, the highest Orthologous Average Nucleotide Identity (Ortho-ANI) and Pierre-Edouard, F. -
Ice-Nucleating Particles Impact the Severity of Precipitations in West Texas
Ice-nucleating particles impact the severity of precipitations in West Texas Hemanth S. K. Vepuri1,*, Cheyanne A. Rodriguez1, Dimitri G. Georgakopoulos4, Dustin Hume2, James Webb2, Greg D. Mayer3, and Naruki Hiranuma1,* 5 1Department of Life, Earth and Environmental Sciences, West Texas A&M University, Canyon, TX, USA 2Office of Information Technology, West Texas A&M University, Canyon, TX, USA 3Department of Environmental Toxicology, Texas Tech University, Lubbock, TX, USA 4Department of Crop Science, Agricultural University of Athens, Athens, Greece 10 *Corresponding authors: [email protected] and [email protected] Supplemental Information 15 S1. Precipitation and Particulate Matter Properties S1.1 Precipitation Categorization In this study, we have segregated our precipitation samples into four different categories, such as (1) snows, (2) hails/thunderstorms, (3) long-lasted rains, and (4) weak rains. For this categorization, we have considered both our observation-based as well as the disdrometer-assigned National Weather Service (NWS) 20 code. Initially, the precipitation samples had been assigned one of the four categories based on our manual observation. In the next step, we have used each NWS code and its occurrence in each precipitation sample to finalize the precipitation category. During this step, a precipitation sample was categorized into snow, only when we identified a snow type NWS code (Snow: S-, S, S+ and/or Snow Grains: SG). Likewise, a precipitation sample was categorized into hail/thunderstorm, only when the cumulative sum of NWS codes for hail was 25 counted more than five times (i.e., A + SP ≥ 5; where A and SP are the codes for soft hail and hail, respectively). -
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. -
The Antarctic Mite, Alaskozetes Antarcticus, Shares Bacterial Microbiome Community Membership but Not Abundance Between Adults and Tritonymphs
Polar Biology (2019) 42:2075–2085 https://doi.org/10.1007/s00300-019-02582-5 ORIGINAL PAPER The Antarctic mite, Alaskozetes antarcticus, shares bacterial microbiome community membership but not abundance between adults and tritonymphs Christopher J. Holmes1 · Emily C. Jennings1 · J. D. Gantz2,3 · Drew Spacht4 · Austin A. Spangler1 · David L. Denlinger4 · Richard E. Lee Jr.3 · Trinity L. Hamilton5 · Joshua B. Benoit1 Received: 14 January 2019 / Revised: 3 September 2019 / Accepted: 4 September 2019 / Published online: 16 September 2019 © Springer-Verlag GmbH Germany, part of Springer Nature 2019 Abstract The Antarctic mite (Alaskozetes antarcticus) is widely distributed on sub-Antarctic islands and throughout the Antarctic Peninsula, making it one of the most abundant terrestrial arthropods in the region. Despite the impressive ability of A. ant- arcticus to thrive in harsh Antarctic conditions, little is known about the biology of this species. In this study, we performed 16S rRNA gene sequencing to examine the microbiome of the fnal immature instar (tritonymph) and both male and female adults. The microbiome included a limited number of microbial classes and genera, with few diferences in community membership noted among the diferent stages. However, the abundances of taxa that composed the microbial community difered between adults and tritonymphs. Five classes—Actinobacteria, Flavobacteriia, Sphingobacteriia, Gammaproteobac- teria, and Betaproteobacteria—comprised ~ 82.0% of the microbial composition, and fve (identifed) genera—Dermacoccus, Pedobacter, Chryseobacterium, Pseudomonas, and Flavobacterium—accounted for ~ 68.0% of the total composition. The core microbiome present in all surveyed A. antarcticus was dominated by the families Flavobacteriaceae, Comamonadaceae, Sphingobacteriaceae, Chitinophagaceae and Cytophagaceae, but the majority of the core consisted of operational taxonomic units of low abundance. -
Oreohelix Strigosa) Bridget Chalifour1* and Jingchun Li1,2
Chalifour and Li Animal Microbiome (2021) 3:49 Animal Microbiome https://doi.org/10.1186/s42523-021-00111-6 RESEARCH ARTICLE Open Access Characterization of the gut microbiome in wild rocky mountainsnails (Oreohelix strigosa) Bridget Chalifour1* and Jingchun Li1,2 Abstract Background: The Rocky Mountainsnail (Oreohelix strigosa) is a terrestrial gastropod of ecological importance in the Rocky Mountains of western United States and Canada. Across the animal kingdom, including in gastropods, gut microbiomes have profound effects on the health of the host. Current knowledge regarding snail gut microbiomes, particularly throughout various life history stages, is limited. Understanding snail gut microbiome composition and dynamics can provide an initial step toward better conservation and management of this species. Results: In this study, we employed 16S rRNA gene amplicon sequencing to examine gut bacteria communities in wild-caught O. strigosa populations from the Front Range of Colorado. These included three treatment groups: (1) adult and (2) fetal snails, as well as (3) sub-populations of adult snails that were starved prior to ethanol fixation. Overall, O. strigosa harbors a high diversity of bacteria. We sequenced the V4 region of the 16S rRNA gene on an Illumina MiSeq and obtained 2,714,330 total reads. We identified a total of 7056 unique operational taxonomic units (OTUs) belonging to 36 phyla. The core gut microbiome of four unique OTUs accounts for roughly half of all sequencing reads returned and may aid the snails’ digestive processes. Significant differences in microbial composition, as well as richness, evenness, and Shannon Indices were found across the three treatment groups. -
Phylogeny of Nitrogenase Structural and Assembly Components Reveals New Insights Into the Origin and Distribution of Nitrogen Fixation Across Bacteria and Archaea
microorganisms Article Phylogeny of Nitrogenase Structural and Assembly Components Reveals New Insights into the Origin and Distribution of Nitrogen Fixation across Bacteria and Archaea Amrit Koirala 1 and Volker S. Brözel 1,2,* 1 Department of Biology and Microbiology, South Dakota State University, Brookings, SD 57006, USA; [email protected] 2 Department of Biochemistry, Genetics and Microbiology, University of Pretoria, Pretoria 0004, South Africa * Correspondence: [email protected]; Tel.: +1-605-688-6144 Abstract: The phylogeny of nitrogenase has only been analyzed using the structural proteins NifHDK. As nifHDKENB has been established as the minimum number of genes necessary for in silico predic- tion of diazotrophy, we present an updated phylogeny of diazotrophs using both structural (NifHDK) and cofactor assembly proteins (NifENB). Annotated Nif sequences were obtained from InterPro from 963 culture-derived genomes. Nif sequences were aligned individually and concatenated to form one NifHDKENB sequence. Phylogenies obtained using PhyML, FastTree, RapidNJ, and ASTRAL from individuals and concatenated protein sequences were compared and analyzed. All six genes were found across the Actinobacteria, Aquificae, Bacteroidetes, Chlorobi, Chloroflexi, Cyanobacteria, Deferribacteres, Firmicutes, Fusobacteria, Nitrospira, Proteobacteria, PVC group, and Spirochaetes, as well as the Euryarchaeota. The phylogenies of individual Nif proteins were very similar to the overall NifHDKENB phylogeny, indicating the assembly proteins have evolved together. Our higher resolution database upheld the three cluster phylogeny, but revealed undocu- Citation: Koirala, A.; Brözel, V.S. mented horizontal gene transfers across phyla. Only 48% of the 325 genera containing all six nif genes Phylogeny of Nitrogenase Structural and Assembly Components Reveals are currently supported by biochemical evidence of diazotrophy. -
Insights Into Xylan Degradation and Haloalkaline
G C A T T A C G G C A T genes Article Insights into Xylan Degradation and Haloalkaline Adaptation through Whole-Genome Analysis of Alkalitalea saponilacus, an Anaerobic Haloalkaliphilic Bacterium Capable of Secreting Novel Halostable Xylanase Ziya Liao 1, Mark Holtzapple 2, Yanchun Yan 1, Haisheng Wang 1, Jun Li 3 and Baisuo Zhao 1,3,* 1 Graduate School, Chinese Academy of Agricultural Sciences, Beijing 100081, China; [email protected] (Z.L.); [email protected] (Y.Y.); [email protected] (H.W.) 2 Department of Chemical Engineering, Texas A&M University, College Station, TX 77843, USA; [email protected] 3 Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China; [email protected] * Correspondence: [email protected] Received: 30 October 2018; Accepted: 13 December 2018; Published: 20 December 2018 Abstract: The obligately anaerobic haloalkaliphilic bacterium Alkalitalea saponilacus can use xylan as the sole carbon source and produce propionate as the main fermentation product. Using mixed carbon sources of 0.4% (w/v) sucrose and 0.1% (w/v) birch xylan, xylanase production from A. saponilacus was 3.2-fold greater than that of individual carbon sources of 0.5% (w/v) sucrose or 0.5% (w/v) birch xylan. The xylanse is halostable and exhibits optimal activity over a broad salt concentration (2–6% NaCl). Its activity increased approximately 1.16-fold by adding 0.2% (v/v) Tween 20. To understand the potential genetic mechanisms of xylan degradation and molecular adaptation to saline-alkali extremes, the complete genome sequence of A. -
Mucilaginibacter Pineti Sp. Nov., Isolated from Pinus Pinaster Wood from a Mixed Grove of Pines Trees
International Journal of Systematic and Evolutionary Microbiology (2014), 64, 2223–2228 DOI 10.1099/ijs.0.057737-0 Mucilaginibacter pineti sp. nov., isolated from Pinus pinaster wood from a mixed grove of pines trees Gabriel Paiva,1 Pedro Abreu,1 Diogo Neves Proenc¸a,1 Susana Santos,1 Maria Fernanda Nobre2 and Paula V. Morais1,3 Correspondence 1IMAR-CMA, University of Coimbra, 3004-517 Coimbra, Portugal Paula V. Morais 2CNC-Center for Neuroscience and Cell Biology, University of Coimbra, [email protected] 3004-517 Coimbra, Portugal 3Department of Life Sciences, FCTUC, University of Coimbra, 3004-517 Coimbra, Portugal Bacterial strain M47C3BT was isolated from the endophytic microbial community of a Pinus pinaster tree branch from a mixed grove of pines. Phylogenetic analysis of 16S rRNA gene sequences showed that this organism represented one distinct branch within the family Sphingobacteriaceae, most closely related to the genus Mucilaginibacter. Strain M47C3BT formed a distinct lineage, closely related to Mucilaginibacter dorajii KACC 14556T, with which it shared 97.2 % 16S rRNA gene sequence similarity. The other members of the genus Mucilaginibacter included in the same clade were Mucilaginibacter lappiensis ATCC BAA-1855T sharing 97.0 % similarity and Mucilaginibacter composti TR6-03T that had a lower similarity (95.7 %). The novel strain was Gram-staining-negative, formed rod-shaped cells, grew optimally at 26 6C and at pH 7, and was able to grow with up to 0.3 % (w/v) NaCl. The respiratory quinone was menaquinone 7 (MK-7) and the major fatty acids of the strain were summed feature 3 (C16 : 1v7c/iso-C15 : 0 2-OH), iso-C15 : 0 and iso-C17 : 0 3-OH, representing 73.5 % of the total fatty acids. -
Bacteria Associated with Vascular Wilt of Poplar
Bacteria associated with vascular wilt of poplar Hanna Kwasna ( [email protected] ) Poznan University of Life Sciences: Uniwersytet Przyrodniczy w Poznaniu https://orcid.org/0000-0001- 6135-4126 Wojciech Szewczyk Poznan University of Life Sciences: Uniwersytet Przyrodniczy w Poznaniu Marlena Baranowska Poznan University of Life Sciences: Uniwersytet Przyrodniczy w Poznaniu Jolanta Behnke-Borowczyk Poznan University of Life Sciences: Uniwersytet Przyrodniczy w Poznaniu Research Article Keywords: Bacteria, Pathogens, Plantation, Poplar hybrids, Vascular wilt Posted Date: May 27th, 2021 DOI: https://doi.org/10.21203/rs.3.rs-250846/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Page 1/30 Abstract In 2017, the 560-ha area of hybrid poplar plantation in northern Poland showed symptoms of tree decline. Leaves appeared smaller, turned yellow-brown, and were shed prematurely. Twigs and smaller branches died. Bark was sunken and discolored, often loosened and split. Trunks decayed from the base. Phloem and xylem showed brown necrosis. Ten per cent of trees died in 1–2 months. None of these symptoms was typical for known poplar diseases. Bacteria in soil and the necrotic base of poplar trunk were analysed with Illumina sequencing. Soil and wood were colonized by at least 615 and 249 taxa. The majority of bacteria were common to soil and wood. The most common taxa in soil were: Acidobacteria (14.757%), Actinobacteria (14.583%), Proteobacteria (36.872) with Betaproteobacteria (6.516%), Burkholderiales (6.102%), Comamonadaceae (2.786%), and Verrucomicrobia (5.307%).The most common taxa in wood were: Bacteroidetes (22.722%) including Chryseobacterium (5.074%), Flavobacteriales (10.873%), Sphingobacteriales (9.396%) with Pedobacter cryoconitis (7.306%), Proteobacteria (73.785%) with Enterobacteriales (33.247%) including Serratia (15.303%) and Sodalis (6.524%), Pseudomonadales (9.829%) including Pseudomonas (9.017%), Rhizobiales (6.826%), Sphingomonadales (5.646%), and Xanthomonadales (11.194%).