DOCSLIB.ORG

Carbon Metabolism of Methylotrophic Methanogens and Asgard Archaea in Marine Sediments

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Carbon Metabolism of Methylotrophic Methanogens and Asgard Archaea in Marine Sediments Carbon Metabolism of Methylotrophic Methanogens and Asgard Archaea in Marine Sediments DISSERTATION zur Erlangung des Grades eines Doktors der Naturwissenschaften −Dr. rer. nat.− dem Fachbereich Biologie/Chemie der Universität Bremen vorgelegt von Xiuran Yin Bremen 2019 This PhD thesis was conducted in the frame work of the International Max Planck Research School of Marine Microbiology (MarMic) and supported by the China Scholarship Council. Gutachter: Prof. Dr. Michael W. Friedrich (Universität Bremen) Gutachter: Prof. Dr. Jens Harder (Max-Planck-Institut für Marine Mikrobiologie) Prüfer: Dr. Marcus Elvert (Marum) Prüfer: Tilmann Harder (Universität Bremen) Contents Summary ........................................................................................................................................ ……1 Zusammenfassung................................................................................................................................. 3 Chapter 1 ............................................................................................................................................... 5 Introduction ....................................................................................................................................... 5 1.1. Carbon utilization in marine sediments.................................................................................... 5 1.2. Carbon metabolisms in methanogenesis .................................................................................. 9 1.2.1. Hydrogenotrophic methanogens ....................................................................................... 9 1.2.2. Methylotrophic methanogens .......................................................................................... 10 1.2.3. Acetoclastic methanogens ............................................................................................... 11 1.3. Carbon metabolisms in other uncultured archaea .................................................................. 12 1.3.1. Archaeal diversity in the Helgoland Mud sediments ...................................................... 13 1.3.2. Carbon fixation ............................................................................................................... 13 1.3.3. Alkane and fatty acids degradation ................................................................................. 14 1.3.4. Fermentation and organic polymer degradation ............................................................. 15 1.4. Identification of active microorganisms by stable isotope probing ....................................... 17 1.4.1. Nucleic acid-SIP ............................................................................................................. 17 1.4.2. Lipid-SIP ......................................................................................................................... 18 1.5. Objectives and structure of the thesis .................................................................................... 18 1.6. Reference ............................................................................................................................... 21 Chapter 2 ............................................................................................................................................. 33 DNA and RNA stable isotope probing of methylotrophic methanogenic archaea .................... 33 Abstract ......................................................................................................................................... 34 2.1. Introduction ............................................................................................................................ 35 2.2. Materials ................................................................................................................................ 36 2.2.1. Sediment slurry incubations ............................................................................................ 36 2.2.2. Media .............................................................................................................................. 36 2.2.3. Nucleic acid extraction.................................................................................................... 37 2.2.4. DNA- and RNA-SIP ....................................................................................................... 37 2.3. Methods .................................................................................................................................. 38 2.3.1. SIP incubations ............................................................................................................... 38 2.3.2. Nucleic acids extraction .................................................................................................. 39 2.3.3. Density separation of isotopically labeled nucleic acids ................................................. 40 2.3.4. Anticipated results........................................................................................................... 42 2.3.5. Experimental run time ..................................................................................................... 43 2.4. Notes ...................................................................................................................................... 43 2.5. Figures .................................................................................................................................... 49 2.6. Table ...................................................................................................................................... 51 2.7. References .............................................................................................................................. 52 Chapter 3 ............................................................................................................................................. 55 CO2 conversion to methane and biomass in obligate methylotrophic methanogens in marine sediments .......................................................................................................................................... 55 Abstract ......................................................................................................................................... 57 3.1. Introduction ............................................................................................................................ 58 3.2. Materials and Methods ........................................................................................................... 59 3.2.1. Sediment incubation setup for SIP .................................................................................. 59 3.2.2. Pure culture setup ............................................................................................................ 60 3.2.3. Slurry incubations inoculated with M. methylutens ....................................................... 60 3.2.4. Gas analysis .................................................................................................................... 61 3.2.5. Nucleic acids extraction, quantification and DNase treatment ....................................... 61 3.2.6. Isopycnic centrifugation, gradient fractionation and reverse transcription ..................... 61 3.2.7. Quantitative PCR (qPCR) ............................................................................................... 62 3.2.8. Sequencing and bioinformatics analysis ......................................................................... 62 3.2.9. Lipid analysis .................................................................................................................. 62 3.2.10. δ13C calculation ............................................................................................................. 62 3.3. Results .................................................................................................................................... 63 3.3.1. Methylotrophic methanogenesis and increase in methanogenic archaea ........................ 63 3.3.2. Carbon assimilation into RNA and identification of metabolically active archaea ........ 64 3.3.3. Methane formation from DIC during methylotrophic methanogenesis .......................... 65 3.4. Discussion .............................................................................................................................. 66 3.4.1. Carbon assimilation by methylotrophic methanogens in sediment incubations ............. 66 3.4.2. CO2 reduction to methane by obligate methylotrophic methanogens ............................. 68 3.5. Acknowledgments .................................................................................................................. 70 3.6. Conflict of interest ................................................................................................................. 70 3.7. Data availability ..................................................................................................................... 70 3.8. Table ...................................................................................................................................... 70 3.9. Figures .................................................................................................................................... 72 3.10. Supplementary figures ........................................................................................................
Load more

Recommended publications
  • The Syntrophy Hypothesis for the Origin of Eukaryotes Revisited Purificación López-García, David Moreira
    The Syntrophy hypothesis for the origin of eukaryotes revisited Purificación López-García, David Moreira To cite this version: Purificación López-García, David Moreira. The Syntrophy hypothesis for the origin of eukaryotes revisited. Nature Microbiology, Nature Publishing Group, 2020, 5 (5), pp.655-667. 10.1038/s41564- 020-0710-4. hal-02988531 HAL Id: hal-02988531 https://hal.archives-ouvertes.fr/hal-02988531 Submitted on 3 Dec 2020 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. 1 2 Perspectives 3 4 5 6 The Syntrophy hypothesis for the origin of eukaryotes revisited 7 8 Purificación López-García1 and David Moreira1 9 10 1 Ecologie Systématique Evolution, CNRS, Université Paris-Saclay, AgroParisTech, Orsay, France 11 12 13 14 *Correspondence to: [email protected] 15 16 17 18 19 1 20 The discovery of Asgard archaea, phylogenetically closer to eukaryotes than other archaea, together with 21 improved knowledge of microbial ecology impose new constraints on emerging models for the origin of the 22 eukaryotic cell (eukaryogenesis). Long-held views are metamorphosing in favor of symbiogenetic models 23 based on metabolic interactions between archaea and bacteria. These include the classical Searcy’s and 24 hydrogen hypothesis, and the more recent Reverse Flow and Entangle-Engulf-Enslave (E3) models.
    [Show full text]
  • Review Article: Inhibition of Methanogenic Archaea by Statins As a Targeted Management Strategy for Constipation and Related Disorders
    Alimentary Pharmacology and Therapeutics Review article: inhibition of methanogenic archaea by statins as a targeted management strategy for constipation and related disorders K. Gottlieb*, V. Wacher*, J. Sliman* & M. Pimentel† *Synthetic Biologics, Inc., Rockville, SUMMARY MD, USA. † Gastroenterology, Cedars-Sinai Background Medical Center, Los Angeles, CA, USA. Observational studies show a strong association between delayed intestinal transit and the production of methane. Experimental data suggest a direct inhibitory activity of methane on the colonic and ileal smooth muscle and Correspondence to: a possible role for methane as a gasotransmitter. Archaea are the only con- Dr K. Gottlieb, Synthetic Biologics, fi Inc., 9605 Medical Center Drive, rmed biological sources of methane in nature and Methanobrevibacter Rockville, MD 20850, USA. smithii is the predominant methanogen in the human intestine. E-mail: [email protected] Aim To review the biosynthesis and composition of archaeal cell membranes, Publication data archaeal methanogenesis and the mechanism of action of statins in this context. Submitted 8 September 2015 First decision 29 September 2015 Methods Resubmitted 7 October 2015 Narrative review of the literature. Resubmitted 20 October 2015 Accepted 20 October 2015 Results EV Pub Online 11 November 2015 Statins can inhibit archaeal cell membrane biosynthesis without affecting This uncommissioned review article was bacterial numbers as demonstrated in livestock and humans. This opens subject to full peer-review. the possibility of a therapeutic intervention that targets a specific aetiologi- cal factor of constipation while protecting the intestinal microbiome. While it is generally believed that statins inhibit methane production via their effect on cell membrane biosynthesis, mediated by inhibition of the HMG- CoA reductase, there is accumulating evidence for an alternative or addi- tional mechanism of action where statins inhibit methanogenesis directly.
    [Show full text]
  • Phylogenomics Provides Robust Support for a Two-Domains Tree of Life
    ARTICLES https://doi.org/10.1038/s41559-019-1040-x Phylogenomics provides robust support for a two-domains tree of life Tom A. Williams! !1*, Cymon J. Cox! !2, Peter G. Foster3, Gergely J. Szöllősi4,5,6 and T. Martin Embley7* Hypotheses about the origin of eukaryotic cells are classically framed within the context of a universal ‘tree of life’ based on conserved core genes. Vigorous ongoing debate about eukaryote origins is based on assertions that the topology of the tree of life depends on the taxa included and the choice and quality of genomic data analysed. Here we have reanalysed the evidence underpinning those claims and apply more data to the question by using supertree and coalescent methods to interrogate >3,000 gene families in archaea and eukaryotes. We find that eukaryotes consistently originate from within the archaea in a two-domains tree when due consideration is given to the fit between model and data. Our analyses support a close relation- ship between eukaryotes and Asgard archaea and identify the Heimdallarchaeota as the current best candidate for the closest archaeal relatives of the eukaryotic nuclear lineage. urrent hypotheses about eukaryotic origins generally pro- Indeed, it has previously been suggested that it is the 3D tree, rather pose at least two partners in that process: a bacterial endo- than the 2D tree, that is an artefact of long-branch attraction5,9–11, symbiont that became the mitochondrion and a host cell for both because analyses under better-fitting models have recovered C 1–4 that endosymbiosis . The identity of the host has been informed a 2D tree but also because the 3D topology is one in which the two by analyses of conserved genes for the transcription and transla- longest branches in the tree of life—the stems leading to bacteria and tion machinery that are considered essential for cellular life5.
    [Show full text]
  • The Vertical Distribution of Sediment Archaeal Community in the (Black Bloom) Disturbing Zhushan Bay of Lake Taihu
    Hindawi Publishing Corporation Archaea Volume 2016, Article ID 8232135, 8 pages http://dx.doi.org/10.1155/2016/8232135 Research Article The Vertical Distribution of Sediment Archaeal Community in the (Black Bloom) Disturbing Zhushan Bay of Lake Taihu Xianfang Fan1,2 and Peng Xing1 1 State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography & Limnology, Chinese Academy of Sciences, Nanjing 210008, China 2State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China Correspondence should be addressed to Peng Xing; [email protected] Received 20 August 2015; Revised 27 November 2015; Accepted 20 December 2015 Academic Editor: William B. Whitman Copyright © 2016 X. Fan and P. Xing. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Using the Illumina sequencing technology, we investigated the vertical distribution of archaeal community in the sediment of Zhushan Bay of Lake Taihu, where the black bloom frequently occurred in summer. Overall, the Miscellaneous Crenarchaeotal Group (MCG), Deep Sea Hydrothermal Vent Group 6 (DHVEG-6), and Methanobacterium dominated the archaeal community. However, we observed significant difference in composition of archaeal community among different depths of the sediment. DHVEG-6 dominated in the surface layer (0–3 cm) sediment. Methanobacterium was the dominating archaeal taxa in the L2 (3– 6 cm) and L3 (6–10) sediment. MCG was most abundant in the L4 (10–15 cm) and L5 (15–20 cm) sediment. Besides, DHVEG-6 was significantly affected by the concentration of total phosphorus ).(TP And loss on ignition (LOI) was an important environmental factor for Methanobacterium.
    [Show full text]
  • Phylogenetics of Archaeal Lipids Amy Kelly 9/27/2006 Outline
    Phylogenetics of Archaeal Lipids Amy Kelly 9/27/2006 Outline • Phlogenetics of Archaea • Phlogenetics of archaeal lipids • Papers Phyla • Two? main phyla – Euryarchaeota • Methanogens • Extreme halophiles • Extreme thermophiles • Sulfate-reducing – Crenarchaeota • Extreme thermophiles – Korarchaeota? • Hyperthermophiles • indicated only by environmental DNA sequences – Nanoarchaeum? • N. equitans a fast evolving euryarchaeal lineage, not novel, early diverging archaeal phylum – Ancient archael group? • In deepest brances of Crenarchaea? Euryarchaea? Archaeal Lipids • Methanogens – Di- and tetra-ethers of glycerol and isoprenoid alcohols – Core mostly archaeol or caldarchaeol – Core sometimes sn-2- or Images removed due to sn-3-hydroxyarchaeol or copyright considerations. macrocyclic archaeol –PMI • Halophiles – Similar to methanogens – Exclusively synthesize bacterioruberin • Marine Crenarchaea Depositional Archaeal Lipids Biological Origin Environment Crocetane methanotrophs? methane seeps? methanogens, PMI (2,6,10,15,19-pentamethylicosane) methanotrophs hypersaline, anoxic Squalane hypersaline? C31-C40 head-to-head isoprenoids Smit & Mushegian • “Lost” enzymes of MVA pathway must exist – Phosphomevalonate kinase (PMK) – Diphosphomevalonate decarboxylase – Isopentenyl diphosphate isomerase (IPPI) Kaneda et al. 2001 Rohdich et al. 2001 Boucher et al. • Isoprenoid biosynthesis of archaea evolved through a combination of processes – Co-option of ancestral enzymes – Modification of enzymatic specificity – Orthologous and non-orthologous gene
    [Show full text]
  • ARCHAEAL EVOLUTION Evolutionary Insights from the Vikings
    RESEARCH HIGHLIGHTS Nature Reviews Microbiology | Published online 16 Jan 2017; doi:10.1038/nrmicro.2016.198 ARCHAEAL EVOLUTION Evolutionary insights from the Vikings The emergence of the eukaryotic cell ASGARD — after the invisible the closest known homologue of during evolution gave rise to all com- ‘Gods of Asgard’ in Norse mythology. eukaryotic epsilon DNA polymerases primordial plex life forms on Earth, including The superphylum consists of the identified thus far. eukaryotic multicellular organisms such as ani- previously identified Lokiarchaeota Members of the ASGARD super- mals, plants and fungi. However, the and Thorarchaeota phyla, and the phylum were particularly enriched vesicular and origin of eukaryotes and their char- newly identified Odinarchaeota and for eukaryotic signature proteins trafficking acteristic structural complexity has Heimdallarchaeota phyla. Using that are involved in intracellular components remained a mystery. The most recent phylogenomics, they discovered trafficking and secretion. Several are derived insights into eukaryogenesis support a strong phylogenetic association proteins contained domain signatures the endosymbiotic theory, which between ASGARD lineages and of eukaryotic transport protein from our proposes that the first eukaryotic eukaryotes that placed the eukaryote particle (TRAPP) complexes, which archaeal cell arose from archaea through the lineage in close proximity to the are involved in transport from the ancestor acquisition of an alphaproteobacterial ASGARD superphylum. endoplasmic
    [Show full text]
  • Two Domains of Life, Not Three?
    Asgard Archaea Two domains of life, not three? A picture of visual interpretation of the Wagner’s opera Das Rheingold, a part of Richard Wagner’s Der Ring des Nibelungen Loki's Castle is a field of five active hydrothermal vents in the mid-Atlantic Ocean, located at 73 degrees north on the Mid-Atlantic Ridge between Greenland and Norway at a depth of 2,352 metres The vents were discovered in 2008 by a multinational scientific expedition of the university of Bergen, and are the most northerly black smokers to date. The five active chimneys of Loki's Castle are venting water as hot as 300 °C and sit on a vast mound of sulfide minerals. The vent field was given the name Loki's Castle as its shape reminded its discoverers of a fantasy castle. The reference is to the ancient Norse god of trickery, Loki. The top three feet (1 m) of a vent chimney almost 40 feet (12 m) tall at Loki's Castle in mid-July 2008. Visible at left is the arm of a remotely operated vehicle, reaching in to take fluid samples. Loki’s Castle Wents Loki's Castle - a field of five active hydrothermal vents in the mid-Atlantic Ocean - at 73 degrees north on the Mid-Atlantic Ridge - at a depth of 2,352 meters In Norse mythology, Loki is a cunning trickster who has the ability to change his shape and sex. Loki is represented as the companion of the great gods Odin and Thor. Preliminary observations have shown the warm area around the Loki's Castle vents to be alive with diverse and apparently unique microorganisms, unlike vent communities observed elsewhere.
    [Show full text]
  • THE MASS of L-PYRROLYSINE in METHYLAMINE METHYLTRANSFERASES and the ROLE of ITS IMINE BOND in CATALYSIS DISSERTATION Presented I
    THE MASS OF L-PYRROLYSINE IN METHYLAMINE METHYLTRANSFERASES AND THE ROLE OF ITS IMINE BOND IN CATALYSIS DISSERTATION Presented in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy in the Graduate School of The Ohio State University by Jitesh Anthony Aloysius Soares, M.S. The Ohio State University 2008 Dissertation Committee: Dr. Joseph A. Krzycki, Advisor Approved by Dr. Charles J. Daniels Dr. Mark Morrison ______________________ Dr. F. Robert Tabita Advisor Graduate Program in Microbiology ABSTRACT Methanosarcina barkeri is an archaeon capable of producing methane from methylamines. Methylamine methyltransferases initiate methanogenesis from methylamines by transferring methyl groups to a cognate corrinoid protein. Each gene encoding a methylamine methyltransferase has been shown to contain a single in-frame amber codon. Further studies have shown that in the monomethylamine methyltransferase, mtmB , the amber codon encodes a novel amino acid, L-pyrrolysine. X-ray crystal structures of MtmB have shown that the structure of this amino acid is a lysine residue with the epsilon-nitrogen in amide linkage to a (4R, 5R)-4-substituted pyrrolyine-5-carboxylate ring. However, these structures did not allow an assignment of the pyrroline ring C4 substituent as a methyl or amine group. In this thesis (Chapter 2) mass spectrometry of chymotryptic digests of methylamine methyltransferases is employed to show that pyrrolysine in present in all three types of methylamine methyltransferase at the position corresponding to the amber codon in their respective genes. The mass of this amber-encoded residue was observed to coincide with the predicted mass of pyrrolysine with a methyl- group at the C4 position.
    [Show full text]
  • Characteristics and Metabolic Patterns of Soil Methanogenic Archaea Communities in the High Latitude Natural Wetlands of China
    Characteristics and Metabolic Patterns of Soil Methanogenic Archaea Communities in the High Latitude Natural Wetlands of China Di Wu Northeast Forestry University Caihong Zhao Northeast Forestry University Hui Bai Forestry Science Research Institute of Heilongjiang Province Fujuan Feng Northeast Forestry University Xin Sui Heilongjiang University Guangyu Sun ( [email protected] ) Northeast Forestry University Research article Keywords: Wetlands, Methanogens, Community diversity, Indicator species, Methanogenic metabolic patterns Posted Date: August 12th, 2020 DOI: https://doi.org/10.21203/rs.3.rs-54821/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Page 1/18 Abstract Background: Soil methanogenic microorganisms are one of the primary methane-producing microbes in wetlands. However, we still poorly understand the community characteristic and metabolic patterns of these microorganisms according to vegetation type and seasonal changes. Therefore, to better elucidate the effects of the vegetation type and seasonal factors on the methanogenic community structure and metabolic patterns, we detected the characteristics of the soil methanogenic mcrA gene from three types of natural wetlands in different seasons in the Xiaoxing'an Mountain region, China. Result: The results indicated that the distribution of Methanobacteriaceae (hydrogenotrophic methanogens) was higher in winter, while Methanosarcinaceae and Methanosaetaceae accounted for a higher proportion in summer. Hydrogenotrophic methanogenesis was the dominant trophic pattern in each wetland. The results of principal coordinate analysis and cluster analysis showed that the vegetation type considerably inuenced the methanogenic community composition. The methanogenic community structure in the Betula platyphylla – Larix gmelinii wetland was relatively different from the structure of the other two wetland types.
    [Show full text]
  • Archaeology of Eukaryotic DNA Replication
    Downloaded from http://cshperspectives.cshlp.org/ on September 25, 2021 - Published by Cold Spring Harbor Laboratory Press Archaeology of Eukaryotic DNA Replication Kira S. Makarova and Eugene V. Koonin National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland 20894 Correspondence: [email protected] Recent advances in the characterization of the archaeal DNA replication system together with comparative genomic analysis have led to the identification of several previously un- characterized archaeal proteins involved in replication and currently reveal a nearly com- plete correspondence between the components of the archaeal and eukaryotic replication machineries. It can be inferred that the archaeal ancestor of eukaryotes and even the last common ancestor of all extant archaea possessed replication machineries that were compa- rable in complexity to the eukaryotic replication system. The eukaryotic replication system encompasses multiple paralogs of ancestral components such that heteromeric complexes in eukaryotes replace archaeal homomeric complexes, apparently along with subfunctionali- zation of the eukaryotic complex subunits. In the archaea, parallel, lineage-specific dupli- cations of many genes encoding replication machinery components are detectable as well; most of these archaeal paralogs remain to be functionally characterized. The archaeal rep- lication system shows remarkable plasticity whereby even some essential components such as DNA polymerase and single-stranded DNA-binding protein are displaced by unrelated proteins with analogous activities in some lineages. ouble-stranded DNA is the molecule that Okazaki fragments (Kornberg and Baker 2005; Dcarries genetic information in all cellular Barry and Bell 2006; Hamdan and Richardson life-forms; thus, replication of this genetic ma- 2009; Hamdan and van Oijen 2010).
    [Show full text]
  • 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
    [Show full text]
  • 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.
    [Show full text]