Bacterial Diversity in the Surface Sediments of the Hypoxic Zone Near
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Expanding Diversity of Asgard Archaea and the Elusive Ancestry of Eukaryotes
bioRxiv preprint doi: https://doi.org/10.1101/2020.10.19.343400; this version posted October 20, 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 The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.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-ND 4.0 International license. 1 Expanding diversity of Asgard archaea and the elusive ancestry of eukaryotes 2 3 Yang Liu1†, Kira S. Makarova2†, Wen-Cong Huang1†, Yuri I. Wolf2, Anastasia Nikolskaya2, Xinxu 4 Zhang1, Mingwei Cai1, Cui-Jing Zhang1, Wei Xu3, Zhuhua Luo3, Lei Cheng4, Eugene V. Koonin2*, Meng 5 Li1* 6 1 Shenzhen Key Laboratory of Marine Microbiome Engineering, Institute for Advanced Study, Shenzhen 7 University, Shenzhen, Guangdong, 518060, P. R. China 8 2 National Center for Biotechnology Information, National Library of Medicine, National Institutes of 9 Health, Bethesda, Maryland 20894, USA 10 3 State Key Laboratory Breeding Base of Marine Genetic Resources, Key Laboratory of Marine Genetic 11 Resources, Fujian Key Laboratory of Marine Genetic Resources, Third Institute of Oceanography, State 12 Oceanic Administration, Xiamen 361005, P. R. China 13 4 Key Laboratory of Development and Application of Rural Renewable Energy, Biogas Institute of 14 Ministry of Agriculture, Chengdu 610041, P.R. China 15 † These authors contributed equally to this work. 16 *Authors for correspondence: [email protected] or [email protected] 17 18 19 Running title: Asgard archaea genomics 20 Keywords: 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.10.19.343400; this version posted October 20, 2020. -
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 -
Yu-Chen Ling and John W. Moreau
Microbial Distribution and Activity in a Coastal Acid Sulfate Soil System Introduction: Bioremediation in Yu-Chen Ling and John W. Moreau coastal acid sulfate soil systems Method A Coastal acid sulfate soil (CASS) systems were School of Earth Sciences, University of Melbourne, Melbourne, VIC 3010, Australia formed when people drained the coastal area Microbial distribution controlled by environmental parameters Microbial activity showed two patterns exposing the soil to the air. Drainage makes iron Microbial structures can be grouped into three zones based on the highest similarity between samples (Fig. 4). Abundant populations, such as Deltaproteobacteria, kept constant activity across tidal cycling, whereas rare sulfides oxidize and release acidity to the These three zones were consistent with their geological background (Fig. 5). Zone 1: Organic horizon, had the populations changed activity response to environmental variations. Activity = cDNA/DNA environment, low pH pore water further dissolved lowest pH value. Zone 2: surface tidal zone, was influenced the most by tidal activity. Zone 3: Sulfuric zone, Abundant populations: the heavy metals. The acidity and toxic metals then Method A Deltaproteobacteria Deltaproteobacteria this area got neutralized the most. contaminate coastal and nearby ecosystems and Method B 1.5 cause environmental problems, such as fish kills, 1.5 decreased rice yields, release of greenhouse gases, Chloroflexi and construction damage. In Australia, there is Gammaproteobacteria Gammaproteobacteria about a $10 billion “legacy” from acid sulfate soils, Chloroflexi even though Australia is only occupied by around 1.0 1.0 Cyanobacteria,@ Acidobacteria Acidobacteria Alphaproteobacteria 18% of the global acid sulfate soils. Chloroplast Zetaproteobacteria Rare populations: Alphaproteobacteria Method A log(RNA(%)+1) Zetaproteobacteria log(RNA(%)+1) Method C Method B 0.5 0.5 Cyanobacteria,@ Bacteroidetes Chloroplast Firmicutes Firmicutes Bacteroidetes Planctomycetes Planctomycetes Ac8nobacteria Fig. -
Role of Actinobacteria and Coriobacteriia in the Antidepressant Effects of Ketamine in an Inflammation Model of Depression
Pharmacology, Biochemistry and Behavior 176 (2019) 93–100 Contents lists available at ScienceDirect Pharmacology, Biochemistry and Behavior journal homepage: www.elsevier.com/locate/pharmbiochembeh Role of Actinobacteria and Coriobacteriia in the antidepressant effects of ketamine in an inflammation model of depression T Niannian Huanga,1, Dongyu Huaa,1, Gaofeng Zhana, Shan Lia, Bin Zhub, Riyue Jiangb, Ling Yangb, ⁎ ⁎ Jiangjiang Bia, Hui Xua, Kenji Hashimotoc, Ailin Luoa, , Chun Yanga, a Department of Anesthesiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China b Department of Internal Medicine, The Third Affiliated Hospital of Soochow University, Changzhou 213003, China c Division of Clinical Neuroscience, Chiba University Center for Forensic Mental Health, Chiba 260-8670, Japan ARTICLE INFO ABSTRACT Keywords: Ketamine, an N-methyl-D-aspartic acid receptor (NMDAR) antagonist, elicits rapid-acting and sustained anti- Ketamine depressant effects in treatment-resistant depressed patients. Accumulating evidence suggests that gut microbiota Depression via the gut-brain axis play a role in the pathogenesis of depression, thereby contributing to the antidepressant Lipopolysaccharide actions of certain compounds. Here we investigated the role of gut microbiota in the antidepressant effects of Gut microbiota ketamine in lipopolysaccharide (LPS)-induced inflammation model of depression. Ketamine (10 mg/kg) sig- nificantly attenuated the increased immobility time in forced swimming test (FST), which was associated with the improvements in α-diversity, consisting of Shannon, Simpson and Chao 1 indices. In addition to α-diversity, β-diversity, such as principal coordinates analysis (PCoA), and linear discriminant analysis (LDA) coupled with effect size measurements (LEfSe), showed a differential profile after ketamine treatment. -
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. -
Lifestyle Preferences Drive the Structure and Diversity of Bacterial and Archaeal Communities in a Small Riverine Reservoir
www.nature.com/scientificreports OPEN Lifestyle preferences drive the structure and diversity of bacterial and archaeal communities in a small riverine reservoir Carles Borrego1,2, Sergi Sabater1,3* & Lorenzo Proia1,4 Spatial heterogeneity along river networks is interrupted by dams, afecting the transport, processing, and storage of organic matter, as well as the distribution of biota. We here investigated the structure of planktonic (free-living, FL), particle-attached (PA) and sediment-associated (SD) bacterial and archaeal communities within a small reservoir. We combined targeted-amplicon sequencing of bacterial and archaeal 16S rRNA genes in the DNA and RNA community fractions from FL, PA and SD, followed by imputed functional metagenomics, in order to unveil diferences in their potential metabolic capabilities within the reservoir (tail, mid, and dam sections) and lifestyles (FL, PA, SD). Both bacterial and archaeal communities were structured according to their life-style preferences rather than to their location in the reservoir. Bacterial communities were richer and more diverse when attached to particles or inhabiting the sediment, while Archaea showed an opposing trend. Diferences between PA and FL bacterial communities were consistent at functional level, the PA community showing higher potential capacity to degrade complex carbohydrates, aromatic compounds, and proteinaceous materials. Our results stressed that particle-attached prokaryotes were phylogenetically and metabolically distinct from their free-living counterparts, and that performed as hotspots for organic matter processing within the small reservoir. Spatial heterogeneity of river networks results from the sequence of lotic segments—which promote the transport and quick transformation of materials—and lentic segments such as large pools and wetlands—which mostly contribute to the process and storage of organic matter 1,2. -
Novel Molecular, Structural and Evolutionary Characteristics of the Phosphoketolases from Bifidobacteria and Coriobacteriales
RESEARCH ARTICLE Novel molecular, structural and evolutionary characteristics of the phosphoketolases from bifidobacteria and Coriobacteriales Radhey S. Gupta*, Anish Nanda, Bijendra Khadka Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, Ontario, Canada * [email protected] a1111111111 a1111111111 a1111111111 Abstract a1111111111 Members from the order Bifidobacteriales, which include many species exhibiting health a1111111111 promoting effects, differ from all other organisms in using a unique pathway for carbohydrate metabolism, known as the ªbifid shuntº, which utilizes the enzyme phosphoketolase (PK) to carry out the phosphorolysis of both fructose-6-phosphate (F6P) and xylulose-5-phosphate (X5P). In contrast to bifidobacteria, the PKs found in other organisms (referred to XPK) are OPEN ACCESS able to metabolize primarily X5P and show very little activity towards F6P. Presently, very lit- Citation: Gupta RS, Nanda A, Khadka B (2017) tle is known about the molecular or biochemical basis of the differences in the two forms of Novel molecular, structural and evolutionary PKs. Comparative analyses of PK sequences from different organisms reported here have characteristics of the phosphoketolases from bifidobacteria and Coriobacteriales. PLoS ONE 12 identified multiple high-specific sequence features in the forms of conserved signature (2): e0172176. doi:10.1371/journal.pone.0172176 inserts and deletions (CSIs) in the PK sequences that clearly distinguish the X5P/F6P phos- Editor: Eugene A. Permyakov, Russian Academy of phoketolases (XFPK) of bifidobacteria from the XPK homologs found in most other organ- Medical Sciences, RUSSIAN FEDERATION isms. Interestingly, most of the molecular signatures that are specific for the XFPK from Received: December 12, 2016 bifidobacteria are also shared by the PK homologs from the Coriobacteriales order of Acti- nobacteria. -
Microbial Diversity in Rhizosphere Soil of Soybean Grass Under Different Cultivation Methods in an Alpine Region
Microbial diversity in rhizosphere soil of soybean grass under different cultivation methods in an alpine region Ying Zhang ( [email protected] ) Qinghai University Wenhui Liu Qinghai University Xilai Li Qinghai University Zhiying Zhang Qinghai University Beibei Su Qinghai University Ri-na Dao Qinghai University Yan Wang Qinghai University Research article Keywords: Avena sativa L., Vicia sativa L., high-throughput sequencing, clean culture, mixed seeding Posted Date: June 3rd, 2020 DOI: https://doi.org/10.21203/rs.3.rs-31329/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Page 1/19 Abstract Background A large number of studies have shown that soybean grass with mixed seeding cultivation can signicantly improve the yield and quality of forage grass compared with clean culture cultivation.This study explores the differences in the characteristics of the composition and diversity of the microbial community in the rhizosphere of soybean grasses between clean culture and mixed seeding methods in an alpine region. We used high-throughput sequencing technology to determine the microbial diversity and analytical methods to determine the physicochemical characteristics of plant rhizosphere soil of Avena sativa L. and Vicia sativa L. Results There were no signicant differences in pH, total nitrogen, total phosphorus, and total potassium in the rhizosphere soil samples of soybean grasses under the clean culture and mixed seeding methods, while there were signicant differences in the available nitrogen, available phosphorus, available potassium, and organic matter content (P < 0.05). The bacterial diversity of the rhizosphere soil of Avena sativa L. was the highest under the clean culture method, and the fungal diversity of the rhizosphere soil of Vicia sativa L. -
Metabolic Network Percolation Quantifies Biosynthetic Capabilities
RESEARCH ARTICLE Metabolic network percolation quantifies biosynthetic capabilities across the human oral microbiome David B Bernstein1,2, Floyd E Dewhirst3,4, Daniel Segre` 1,2,5,6,7* 1Department of Biomedical Engineering, Boston University, Boston, United States; 2Biological Design Center, Boston University, Boston, United States; 3The Forsyth Institute, Cambridge, United States; 4Harvard School of Dental Medicine, Boston, United States; 5Bioinformatics Program, Boston University, Boston, United States; 6Department of Biology, Boston University, Boston, United States; 7Department of Physics, Boston University, Boston, United States Abstract The biosynthetic capabilities of microbes underlie their growth and interactions, playing a prominent role in microbial community structure. For large, diverse microbial communities, prediction of these capabilities is limited by uncertainty about metabolic functions and environmental conditions. To address this challenge, we propose a probabilistic method, inspired by percolation theory, to computationally quantify how robustly a genome-derived metabolic network produces a given set of metabolites under an ensemble of variable environments. We used this method to compile an atlas of predicted biosynthetic capabilities for 97 metabolites across 456 human oral microbes. This atlas captures taxonomically-related trends in biomass composition, and makes it possible to estimate inter-microbial metabolic distances that correlate with microbial co-occurrences. We also found a distinct cluster of fastidious/uncultivated taxa, including several Saccharibacteria (TM7) species, characterized by their abundant metabolic deficiencies. By embracing uncertainty, our approach can be broadly applied to understanding metabolic interactions in complex microbial ecosystems. *For correspondence: DOI: https://doi.org/10.7554/eLife.39733.001 [email protected] Competing interests: The authors declare that no Introduction competing interests exist. -
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; -
Soil Microbiome Composition Along the Natural Norway Spruce Forest Life Cycle
Article Soil Microbiome Composition along the Natural Norway Spruce Forest Life Cycle Michal Choma 1,* , Pavel Šamonil 2, Eva Kaštovská 1, Jiˇrí Bárta 1, Karolina Tahovská 1, Martin Valtera 3 and Hana Šantr ˚uˇcková 1 1 Department of Ecosystem Biology, Faculty of Science, University of South Bohemia, Branišovská 31, 37005 Ceskˇ é Budˇejovice,Czech Republic; [email protected] (E.K.); [email protected] (J.B.); [email protected] (K.T.); [email protected] (H.Š.) 2 Department of Forest Ecology, The Silva Tarouca Research Institute for Landscape and Ornamental Gardening, Lidická 25/27, 60200 Brno, Czech Republic; [email protected] 3 Department of Geology and Soil Science, Faculty of Forestry and Wood Technology, Mendel University in Brno, Zemˇedˇelská 3, 61300 Brno, Czech Republic; [email protected] * Correspondence: [email protected] Abstract: Stand-replacing disturbances are a key element of the Norway spruce (Picea abies) forest life cycle. While the effect of a natural disturbance regime on forest physiognomy, spatial structure and pedocomplexity was well described in the literature, its impact on the microbiome, a crucial soil component that mediates nutrient cycling and stand productivity, remains largely unknown. For this purpose, we conducted research on a chronosequence of sites representing the post-disturbance development of a primeval Norway spruce forest in the Calimani Mts., Romania. The sites were selected along a gradient of duration from 16 to 160 years that ranges from ecosystem regeneration phases of recently disturbed open gaps to old-growth forest stands. Based on DNA amplicon sequencing, we followed bacterial and fungal community composition separately in organic, upper Citation: Choma, M.; Šamonil, P.; mineral and spodic horizons of present Podzol soils. -
Sequence and Evolutionary Analysis of Bacterial
Sequence and evolutionary analysis of bacterial ribosomal S1 proteins Evgenia Deryusheva1, Andrey Machulin2, Maxim Matyunin3, and Oxana Galzitskaya4 1Institute for Biological Instrumentation, Federal Research Center "Pushchino Scientific Center for Biological Research of the Russian Academy of Sciences" 2Institute for Biological Instrumentation, Russian Academy of Sciences 33 Institute of Protein Research, Russian Academy of Sciences 4Institute of Protein Research November 19, 2020 Abstract The multi-domain bacterial S1 protein is the largest and most functionally important ribosomal protein of the 30S subunit, which interacts with both mRNA and proteins. The family of ribosomal S1 proteins differs in the classical sense from a protein with tandem repeats and has a \bead-on-string" organization, where each repeat is folded into a globular domain. Based on our recent data, the study of evolutionary relationships for the bacterial phyla will provide evidence for one of the proposed theories of the evolutionary development of proteins with structural repeats: from multiple repeats of assembles to single repeats, or vice versa. In this comparative analysis of 1333 S1 sequences that were identified in 24 different phyla; we demonstrate how such phyla can independently/dependently form during evolution. To our knowledge, this work is the first study of the evolutionary history of bacterial ribosomal S1 proteins. The collected and structured data can be useful to computer biologists as a resource for determining percent identity, amino acid composition and logo motifs, as well as dN/dS ratio in bacterial S1 protein. The obtained research data suggested that the evolutionary development of bacterial ribosomal proteins S1 evolved from multiple assemblies to single repeat.