Establishment and Analysis of Microbial Communities Capable of Producing Methane from Grass Waste at Extremely High C/N Ratio
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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. -
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 -
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. -
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). -
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. -
An Estimate of the Elemental Composition of Luca
Astrobiology Science Conference 2015 (2015) 7328.pdf AN ESTIMATE OF THE ELEMENTAL COMPOSITION OF LUCA. Aditya Chopra1 and Charles H. Lineweaver1, 1Planetary Science Institute, Research School of Earth Sciences and Research School of Astronomy and Astrophysics, Australian National University, [email protected], [email protected] A number of genomic and proteomic features of composition of life, we attempt to account for life on Earth, like the 16S ribosomal RNA gene, have differences in composition between species and other been highly conserved over billions of years. Genetic phylogenetic taxa (Fig. 2) by weighting datasets such and proteomic conservation translates to conservation that the result represents the root of prokaryotic life of metabolic pathways across taxa. It follows that the (LUCA). Variations in composition between data sets stoichiometry of the elements that make up some of that can be attributed to different growth stages or the biomolecules will be conserved. By extension, the environmental factors are used as estimates of the elemental make up of the whole organism is a uncertainty associated with the average abundances for relatively conserved feature of life on Earth [1,2]. each taxa. We describe how average bulk elemental Euryarchaeota 1a Methanococci, Methanobacteria, Methanopyri 7 Euryarchaeota 1b abundances in extant life can yield an indirect estimate 6 Thermoplasmata, Methanomicrobia, Halobacteria, Archaeoglobi Euryarchaeota 2 4 Thermococci of relative abundances of elements in the Last Crenarchaeota Sulfolobus, Thermoproteus ? Thaumarchaeota Universal Common Ancestor (LUCA). The results Cenarchaeum ? Korarchaeota ARMAN could give us important hints about the stoichiometry ? 2 Archaeal Richmond Mine Acidophilic Nanoorganisms Nanoarchaeota of the environment where LUCA existed and perhaps Archaea Terrabacteria clues to the processes involved in the origin and early Actinobacteria, Deinococcus-Thermus, 1 Cyanobacteria, Life Chloroflexi, 9 evolution of life [3]. -
Supplementary Information
Retroconversion of estrogens into androgens by bacteria via a cobalamin-mediated methylation Po-Hsiang Wang, Yi-Lung Chen, Sean Ting-Shyang Wei, Kan Wu, Tzong-Huei Lee, Tien-Yu Wu, and Yin-Ru Chiang Supplementary Information Table of Contents Dataset Dataset S1. Genome annotation of strain DHT3 and transcriptomic analysis (RNA-Seq) of bacterial cells grown anaerobically with testosterone or estradiol. SI Tables Table S1. Oligonucleotides used in this study. Table S2. Selection of housekeeping genes of strain DHT3 used for constructing the linear regression line in the global gene expression profiles (RNA-Seq). Table S3. Selection of the cobalamin-dependent methyltransferases used for the un-rooted maximum likelihood tree construction. Table S4. UPLC–APCI–HRMS data of the intermediates involved in anaerobic estrone catabolism by strain DHT3. Table S5. 1H- (600 MHz) and 13C-NMR (150 MHz) spectral data of the HPLC-purified metabolite (AND2) and the authentic standard 5-androstan-3,17-diol Table S6. Selection of the bacteria used for comparative analysis of the gene organization for HIP degradation. SI Figures Fig. S1 Scanning electron micrographs of strain DHT3 cells. Fig. S2 Cobalamin as an essential vitamin during the anaerobic growth of strain DHT3 on estradiol. Fig. S3 Arrangement and expression analysis of the emt genes in strain DHT3. Fig. S4 The anaerobic growth of the wild type (A) and the emtA-disrupted mutant (B) of strain DHT3 with testosterone and estradiol. Fig. S5 APCI–HRMS spectrum of the HIP produced by estrone-fed strain DHT3. 1 Fig. S6 UPLC–APCI–HRMS spectra of two TLC-purified androgen metabolites, 17β-hydroxyandrostan-3-one (A) and 3β,17β-dihydroxyandrostane (B). -
1 Development of Prediction Models of Methane Production by Sheep
Development of Prediction Models of Methane Production by Sheep and Cows Using Rumen Microbiota Data Thesis Presented in Partial Fulfillment of the Requirements for the Degree Master of Science in the Graduate School of The Ohio State University By Boyang Zhang Graduate Program in Animal Sciences The Ohio State University 2018 Master's Examination Committee: Dr. Zhongtang Yu, Advisor Dr. Moraes, Co-advisor Dr. Firkins 1 Copyrighted by Boyang Zhang 2018 2 Abstract Methane emission from the rumen leads to approximately 10 % loss of the ingested energy, at the conversion of digestible to metabolizable energy. Besides research on mitigation of methane emission, much research interests have also been gravitated towards development of prediction models of methane emissions from livestock because the global warming is reducing agriculture productivity (Johnson and Johnson, 1995). An accurate prediction of enteric methane production from cattle and sheep can assist in balancing the increased livestock production with subsequent environmental impacts. Methane is an inevitable byproduct of the microbial fermentation processes in the rumen, and certain ruminal microbes have direct impacts to methane production (Morgavi et al., 2010). Thus, we hypothesized that the inclusion of individual microbial groups as predictor variables could improve the robustness and accuracy of prediction models. However, inclusion of microbial variables into prediction models can result in overfitting. Machine-learning algorithms can automatically select the key explanatory predictors, and Linear Mixed Models can provide a framework to predict random effects describing between animal variations. We proposed three novel frameworks for subset selections of microbial variables (MV) and one framework for generalized linear mixed models (GLMM) using L1-penalization (GLMMLASSO) selection with cross-validations (CV) ii to address the overfitting problems and to develop parsimonious prediction models of methane production. -
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. -
Downloaded from the NCBI FTP Site [37]
Life 2015, 5, 818-840; doi:10.3390/life5010818 OPEN ACCESS life ISSN 2075-1729 www.mdpi.com/journal/life Article Archaeal Clusters of Orthologous Genes (arCOGs): An Update and Application for Analysis of Shared Features between Thermococcales, Methanococcales, and Methanobacteriales Kira S. Makarova *, Yuri I. Wolf and Eugene V. Koonin National Center for Biotechnology Information, NLM, National Institutes of Health, Bethesda, MD 20894, USA; E-Mails: [email protected] (Y.I.W.); [email protected] (E.V.K.) * Author to whom correspondence should be addressed; E-Mail: [email protected]; Tel.: +1-301-435-5913; Fax: +1-301-435-7793. Academic Editors: Hans-Peter Klenk, Michael W. W. Adams and Roger A. Garrett Received: 12 January 2015 / Accepted: 28 February 2015 / Published: 10 March 2015 Abstract: With the continuously accelerating genome sequencing from diverse groups of archaea and bacteria, accurate identification of gene orthology and availability of readily expandable clusters of orthologous genes are essential for the functional annotation of new genomes. We report an update of the collection of archaeal Clusters of Orthologous Genes (arCOGs) to cover, on average, 91% of the protein-coding genes in 168 archaeal genomes. The new arCOGs were constructed using refined algorithms for orthology identification combined with extensive manual curation, including incorporation of the results of several completed and ongoing research projects in archaeal genomics. A new level of classification is introduced, superclusters that unit two or more arCOGs and more completely reflect gene family evolution than individual, disconnected arCOGs. Assessment of the current archaeal genome annotation in public databases indicates that consistent use of arCOGs can significantly improve the annotation quality. -
Salinity Drives Archaeal Distribution Patterns in High Altitude Lake Sediments on the Tibetan Plateau Yongqin Liu 1,2,∗, John C
FEMS Microbiology Ecology, 92, 2016, fiw033 doi: 10.1093/femsec/fiw033 Advance Access Publication Date: 16 February 2016 Research Article RESEARCH ARTICLE Salinity drives archaeal distribution patterns in high altitude lake sediments on the Tibetan Plateau Yongqin Liu 1,2,∗, John C. Priscu3, Jinbo Xiong4, Ralf Conrad5, Trista Vick-Majors3, Haiyan Chu6 and Juzhi Hou1 Downloaded from 1Key Laboratory of Tibetan Environment Changes and Land Surface Processes, Institute of Tibetan Plateau Research, Beijing 100101, China, 2CAS Center for Excellence in Tibetan Plateau Earth Sciences, Chinese Academy of Sciences, Beijing 100101, China, 3Department of Land Resources and Environmental Sciences, Montana State University, Bozeman, MT 59717, USA, 4Faculty of Marine Sciences, Ningbo University, Ningbo http://femsec.oxfordjournals.org/ 315211, China, 5Max Planck Institute for Terrestrial Microbiology, Marburg 35043, Germany and 6State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China ∗Corresponding author: Institute of Tibetan Plateau, Chinese Academy of Science, No. 16, Lincuo Rd., Beijing 100101, China. Tel: 86-10-84097122; E-mail: [email protected] One sentence summary: We represent a comprehensive investigation of archaeal diversity in the pristine lake sediments across the Tibetan Plateau, and found salinity is the key factor controlling archaeal community diversity and composition. Editor: Dirk Wagner by guest on April 5, 2016 ABSTRACT Archaeal communities and the factors regulating their diversity in high altitude lakes are poorly understood. Here, we provide the first high-throughput sequencing study of Archaea from Tibetan Plateau lake sediments. We analyzed twenty lake sediments from the world’s highest and largest plateau and found diverse archaeal assemblages that clustered into groups dominated by methanogenic Euryarchaeota, Crenarchaeota and Halobacteria/mixed euryarchaeal phylotypes. -
A Meta-Analysis of the Publicly Available Bacterial and Archaeal Sequence Diversity in Saline Soils
World J Microbiol Biotechnol (2013) 29:2325–2334 DOI 10.1007/s11274-013-1399-9 ORIGINAL PAPER A meta-analysis of the publicly available bacterial and archaeal sequence diversity in saline soils Bin Ma • Jun Gong Received: 19 April 2013 / Accepted: 3 June 2013 / Published online: 12 June 2013 Ó Springer Science+Business Media Dordrecht 2013 Abstract An integrated view of bacterial and archaeal Halorubrum and Thermofilum were the dominant archaeal diversity in saline soil habitats is essential for understanding genera in saline soils. Rarefaction analysis indicated that less the biological and ecological processes and exploiting than 25 % of bacterial diversity, and approximately 50 % of potential of microbial resources from such environments. archaeal diversity, in saline soil habitats has been sampled. This study examined the collective bacterial and archaeal This analysis of the global bacterial and archaeal diversity in diversity in saline soils using a meta-analysis approach. All saline soil habitats can guide future studies to further available 16S rDNA sequences recovered from saline soils examine the microbial diversity of saline soils. were retrieved from publicly available databases and sub- jected to phylogenetic and statistical analyses. A total of Keywords Archaea Á Bacteria Á Halophilic Á Microbial 9,043 bacterial and 1,039 archaeal sequences, each longer diversity Á Saline soil than 250 bp, were examined. The bacterial sequences were assigned into 5,784 operational taxonomic units (OTUs, based on C97 % sequence identity), representing 24 known Introduction bacterial phyla, with Proteobacteria (44.9 %), Actinobacte- ria (12.3 %), Firmicutes (10.4 %), Acidobacteria (9.0 %), Saline soils are increasingly abundant as a consequence of Bacteroidetes (6.8 %), and Chloroflexi (5.9 %) being pre- irrigation and desertification processes (Rengasamy 2006).