Metagenome-Assembled Genomes Provide New Insight Into the Microbial Diversity of Two Thermal Pools in Kamchatka, Russia
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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 -
Differences in Lateral Gene Transfer in Hypersaline Versus Thermal Environments Matthew E Rhodes1*, John R Spear2, Aharon Oren3 and Christopher H House1
Rhodes et al. BMC Evolutionary Biology 2011, 11:199 http://www.biomedcentral.com/1471-2148/11/199 RESEARCH ARTICLE Open Access Differences in lateral gene transfer in hypersaline versus thermal environments Matthew E Rhodes1*, John R Spear2, Aharon Oren3 and Christopher H House1 Abstract Background: The role of lateral gene transfer (LGT) in the evolution of microorganisms is only beginning to be understood. While most LGT events occur between closely related individuals, inter-phylum and inter-domain LGT events are not uncommon. These distant transfer events offer potentially greater fitness advantages and it is for this reason that these “long distance” LGT events may have significantly impacted the evolution of microbes. One mechanism driving distant LGT events is microbial transformation. Theoretically, transformative events can occur between any two species provided that the DNA of one enters the habitat of the other. Two categories of microorganisms that are well-known for LGT are the thermophiles and halophiles. Results: We identified potential inter-class LGT events into both a thermophilic class of Archaea (Thermoprotei) and a halophilic class of Archaea (Halobacteria). We then categorized these LGT genes as originating in thermophiles and halophiles respectively. While more than 68% of transfer events into Thermoprotei taxa originated in other thermophiles, less than 11% of transfer events into Halobacteria taxa originated in other halophiles. Conclusions: Our results suggest that there is a fundamental difference between LGT in thermophiles and halophiles. We theorize that the difference lies in the different natures of the environments. While DNA degrades rapidly in thermal environments due to temperature-driven denaturization, hypersaline environments are adept at preserving DNA. -
The Active Sulfate-Reducing Microbial Community in Littoral Sediment of Oligotrophic Lake Constance
fmicb-10-00247 February 11, 2019 Time: 18:14 # 1 Erschienen in: Frontiers in Microbiology ; 10 (2019). - 247 http://dx.doi.org/10.3389/fmicb.2019.00247 ORIGINAL RESEARCH published: 13 February 2019 doi: 10.3389/fmicb.2019.00247 The Active Sulfate-Reducing Microbial Community in Littoral Sediment of Oligotrophic Lake Constance Susanne Wörner1,2 and Michael Pester1,2,3* 1 Department of Biology, University of Konstanz, Konstanz, Germany, 2 Leibniz Institute DSMZ – German Collection of Microorganisms and Cell cultures, Braunschweig, Germany, 3 Institute for Microbiology, Technical University of Braunschweig, Braunschweig, Germany Active sulfate-reducing microorganisms (SRM) in freshwater sediments are under- examined, despite the well-documented cryptic sulfur cycle occurring in these low- Edited by: sulfate habitats. In Lake Constance sediment, sulfate reduction rates of up to 1,800 nmol Kenneth Wasmund, cm−3 day−1 were previously measured. To characterize its SRM community, we used University of Vienna, Austria a tripartite amplicon sequencing approach based on 16S rRNA genes, 16S rRNA, Reviewed by: Paula Dalcin Martins, and dsrB transcripts (encoding the beta subunit of dissimilatory sulfite reductase). Radboud University Nijmegen, We followed the respective amplicon dynamics in four anoxic microcosm setups Netherlands supplemented either with (i) chitin and sulfate, (ii) sulfate only, (iii) chitin only, or Christina Pavloudi, Hellenic Centre for Marine Research (iv) no amendment. Chitin was used as a general substrate for the whole carbon (HCMR), Greece degradation chain. Sulfate turnover in sulfate-supplemented microcosms ranged from Jesse G. Dillon, −1 −1 California State University, Long 38 to 955 nmol day (g sediment f. wt.) and was paralleled by a decrease of Beach, United States 90–100% in methanogenesis as compared to the respective methanogenic controls. -
Thermophilic Anaerobic Digestion of Second Cheese Whey: Microbial Community Response to H2 Addition in a Partially Immobilized Anaerobic Hybrid Reactor
processes Article Thermophilic Anaerobic Digestion of Second Cheese Whey: Microbial Community Response to H2 Addition in a Partially Immobilized Anaerobic Hybrid Reactor Giuseppe Lembo 1,2, Silvia Rosa 1, Valentina Mazzurco Miritana 1,3 , Antonella Marone 4, Giulia Massini 1, Massimiliano Fenice 2 and Antonella Signorini 1,* 1 Department of Energy Technologies and Renewable Source, Casaccia Research Center, ENEA-Italian Agency for New Technologies, Energy and Sustainable Development, Via Anguillarese 301, 00123 Rome, Italy; [email protected] (G.L.); [email protected] (S.R.); [email protected] (V.M.M.); [email protected] (G.M.) 2 Ecological and Biological Sciences Department, University of Tuscia, 01100 Viterbo, Italy; [email protected] 3 Water Research Institute, National Research Council (IRSA-CNR) Via Salaria km 29,300-C.P. 10, Monterotondo Street, 00015 Rome, Italy 4 Department of Energy Efficiency Unit, Casaccia Research Center, ENEA-Italian Agency for New Technologies, Energy and Sustainable Development, Via Anguillarese 301, 00123 Rome, Italy; [email protected] * Correspondence: [email protected] Abstract: In this study, we investigated thermophilic (55 ◦C) anaerobic digestion (AD) performance and microbial community structure, before and after hydrogen addition, in a novel hybrid gas-stirred tank reactor (GSTR) implemented with a partial immobilization of the microbial community and fed with second cheese whey (SCW). The results showed that H2 addition led to a 25% increase in the methane production rate and to a decrease of 13% in the CH4 concentration as compared with the control. The recovery of methane content (56%) was reached by decreasing the H2 flow rate. -
Quasialign: Position Sensitive P-Mer Frequency Clustering with Applications to Genomic Classification and Differentiation
QuasiAlign: Position Sensitive P-Mer Frequency Clustering with Applications to Genomic Classification and Differentiation Anurag Nagar Michael Hahsler Southern Methodist University Southern Methodist University Abstract Recent advances in Metagenomics and the Human Microbiome provide a complex landscape for dealing with a multitude of genomes all at once. One of the many challenges in this field is classification of the genomes present in a sample. Effective metagenomic classification and diversity analysis require complex representations of taxa. With this package we develop a suite of tools, based on novel quasi-alignment techniques to rapidly classify organisms using our new approach on a laptop computer instead of several multi- processor servers. This approach will facilitate the development of fast and inexpensive devices for microbiome-based health screening in the near future. Keywords:~data mining, clustering, Markov chain. 1. Introduction Metagenomics (Handelsman, Rondon, Brady, Clardy, and Goodman 1998) and the Human Microbiome Turnbaugh, Ley, Hamady, Fraser-Liggett, Knight, and Gordon(2007); Mai, Ukhanova, and Baer(2010) provide a complex landscape for dealing with a multitude of genomes all at once. One of the many challenges in this field is classification of the genomes present in the sample. Effective metagenomic classification and diversity analysis require complex representations of taxa. A common characteristic of most sequence-based classification techniques (e.g., BAlibase (Smith and Waterman 1981), BLAST (Altschul, Gish, Miller, Myers, and Lipman 1990), T-Coffee (Notredame, Higgins, and Heringa 2000), MAFFT (Katoh, Misawa, Kuma, and Miyata 2002), MUSCLE (Edgar 2004b,a), Kalign (Lassmann and Sonnhammer 2006) and ClustalW2 and ClustalX2 (Larkin, Blackshields, Brown, Chenna, McGettigan, McWilliam, Valentin, Wallace, Wilm, Lopez, Thompson, Gibson, and Higgins 2007)) is the use of com- putationally very expensive sequence alignment. -
Occurrence and Expression of Novel Methyl-Coenzyme M Reductase Gene
www.nature.com/scientificreports OPEN Occurrence and expression of novel methyl-coenzyme M reductase gene (mcrA) variants in hot spring Received: 6 April 2017 Accepted: 27 June 2017 sediments Published: xx xx xxxx Luke J. McKay1,2, Roland Hatzenpichler1,3, William P. Inskeep2 & Matthew W. Fields1,4 Recent discoveries have shown that the marker gene for anaerobic methane cycling (mcrA) is more widespread in the Archaea than previously thought. However, it remains unclear whether novel mcrA genes associated with the Bathyarchaeota and Verstraetearchaeota are distributed across diverse environments. We examined two geochemically divergent but putatively methanogenic regions of Yellowstone National Park to investigate whether deeply-rooted archaea possess and express novel mcrA genes in situ. Small-subunit (SSU) rRNA gene analyses indicated that Bathyarchaeota were predominant in seven of ten sediment layers, while the Verstraetearchaeota and Euryarchaeota occurred in lower relative abundance. Targeted amplifcation of novel mcrA genes suggested that diverse taxa contribute to alkane cycling in geothermal environments. Two deeply-branching mcrA clades related to Bathyarchaeota were identifed, while highly abundant verstraetearchaeotal mcrA sequences were also recovered. In addition, detection of SSU rRNA and mcrA transcripts from one hot spring suggested that predominant Bathyarchaeota were also active, and that methane cycling genes are expressed by the Euryarchaeota, Verstraetearchaeota, and an unknown lineage basal to the Bathyarchaeota. These fndings greatly expand the diversity of the key marker gene for anaerobic alkane cycling and outline the need for greater understanding of the functional capacity and phylogenetic afliation of novel mcrA variants. Archaea are the primary drivers of CH4 cycling on our planet. -
Petroleum Hydrocarbon Rich Oil Refinery Sludge of North-East India
Roy et al. BMC Microbiology (2018) 18:151 https://doi.org/10.1186/s12866-018-1275-8 RESEARCHARTICLE Open Access Petroleum hydrocarbon rich oil refinery sludge of North-East India harbours anaerobic, fermentative, sulfate-reducing, syntrophic and methanogenic microbial populations Ajoy Roy1, Pinaki Sar2, Jayeeta Sarkar2, Avishek Dutta2,3, Poulomi Sarkar2, Abhishek Gupta2, Balaram Mohapatra2, Siddhartha Pal1 and Sufia K Kazy1* Abstract Background: Sustainable management of voluminous and hazardous oily sludge produced by petroleum refineries remains a challenging problem worldwide. Characterization of microbial communities of petroleum contaminated sites has been considered as the essential prerequisite for implementation of suitable bioremediation strategies. Three petroleum refinery sludge samples from North Eastern India were analyzed using next-generation sequencing technology to explore the diversity and functional potential of inhabitant microorganisms and scope for their on- site bioremediation. Results: All sludge samples were hydrocarbon rich, anaerobic and reduced with sulfate as major anion and several heavy metals. High throughput sequencing of V3-16S rRNA genes from sludge metagenomes revealed dominance of strictly anaerobic, fermentative, thermophilic, sulfate-reducing bacteria affiliated to Coprothermobacter, Fervidobacterium, Treponema, Syntrophus, Thermodesulfovibrio, Anaerolinea, Syntrophobacter, Anaerostipes, Anaerobaculum, etc., which have been well known for hydrocarbon degradation. Relatively higher proportions of archaea -
Confident Phylogenetic Identification of Uncultured Prokaryotes Through
Environmental Microbiology (2019) 21(7), 2485–2498 doi:10.1111/1462-2920.14636 Confident phylogenetic identification of uncultured prokaryotes through long read amplicon sequencing of the 16S-ITS-23S rRNA operon Joran Martijn ,1 Anders E. Lind,1 Max E. Schön,1 method to those who wish to cost-effectively and confi- Ian Spiertz,1 Lina Juzokaite,1 Ignas Bunikis,2 dently estimate the phylogenetic diversity of prokary- Olga V. Pettersson2 and Thijs J. G. Ettema 1,3* otes in environmental samples at high throughput. 1Department of Cell and Molecular Biology, Science for Life Laboratory, Uppsala University, SE-75123, Uppsala, Sweden. Introduction 2Science for Life Laboratory, Uppsala University, The 16S rRNA gene has been used for decades to phylo- SE-75185, Uppsala, Sweden. genetically classify bacteria and archaea (Woese and Fox, 3 Laboratory of Microbiology, Department of 1977). The gene excels in this respect because of its uni- Agrotechnology and Food Sciences, Wageningen versal occurrence, resistance to horizontal gene transfer University, Stippeneng 4, 6708WE, Wageningen, and high degree of conservation (Woese, 1987; Green The Netherlands. and Noller, 1997). Highly conserved regions are inter- spersed with highly variable regions, allowing for phyloge- Summary netic classification at species and higher taxonomic levels. In addition, the gene has proven to be an excellent target Amplicon sequencing of the 16S rRNA gene is the pre- for studies aiming to quantify the taxonomic composition dominant method to quantify microbial compositions of microbial communities via high-throughput PCR and to discover novel lineages. However, traditional amplicon sequencing (Doolittle, 1999). Primers are usually short amplicons often do not contain enough informa- designed such that they anneal to stretches of conserved tion to confidently resolve their phylogeny. -
(Gid ) Genes Coding for Putative Trna:M5u-54 Methyltransferases in 355 Bacterial and Archaeal Complete Genomes
Table S1. Taxonomic distribution of the trmA and trmFO (gid ) genes coding for putative tRNA:m5U-54 methyltransferases in 355 bacterial and archaeal complete genomes. Asterisks indicate the presence and the number of putative genes found. Genomes Taxonomic position TrmA Gid Archaea Crenarchaea Aeropyrum pernix_K1 Crenarchaeota; Thermoprotei; Desulfurococcales; Desulfurococcaceae Cenarchaeum symbiosum Crenarchaeota; Thermoprotei; Cenarchaeales; Cenarchaeaceae Pyrobaculum aerophilum_str_IM2 Crenarchaeota; Thermoprotei; Thermoproteales; Thermoproteaceae Sulfolobus acidocaldarius_DSM_639 Crenarchaeota; Thermoprotei; Sulfolobales; Sulfolobaceae Sulfolobus solfataricus Crenarchaeota; Thermoprotei; Sulfolobales; Sulfolobaceae Sulfolobus tokodaii Crenarchaeota; Thermoprotei; Sulfolobales; Sulfolobaceae Euryarchaea Archaeoglobus fulgidus Euryarchaeota; Archaeoglobi; Archaeoglobales; Archaeoglobaceae Haloarcula marismortui_ATCC_43049 Euryarchaeota; Halobacteria; Halobacteriales; Halobacteriaceae; Haloarcula Halobacterium sp Euryarchaeota; Halobacteria; Halobacteriales; Halobacteriaceae; Haloarcula Haloquadratum walsbyi Euryarchaeota; Halobacteria; Halobacteriales; Halobacteriaceae; Haloquadra Methanobacterium thermoautotrophicum Euryarchaeota; Methanobacteria; Methanobacteriales; Methanobacteriaceae Methanococcoides burtonii_DSM_6242 Euryarchaeota; Methanomicrobia; Methanosarcinales; Methanosarcinaceae Methanococcus jannaschii Euryarchaeota; Methanococci; Methanococcales; Methanococcaceae Methanococcus maripaludis_S2 Euryarchaeota; Methanococci; -
BEING Aquifex Aeolicus: UNTANGLING a HYPERTHERMOPHILE‘S CHECKERED PAST
BEING Aquifex aeolicus: UNTANGLING A HYPERTHERMOPHILE‘S CHECKERED PAST by Robert J.M. Eveleigh Submitted in partial fulfillment of the requirements for the degree of Master of Science at Dalhousie University Halifax, Nova Scotia December 2011 © Copyright by Robert J.M. Eveleigh, 2011 DALHOUSIE UNIVERSITY DEPARTMENT OF COMPUTATIONAL BIOLOGY AND BIOINFORMATICS The undersigned hereby certify that they have read and recommend to the Faculty of Graduate Studies for acceptance a thesis entitled ―BEING Aquifex aeolicus: UNTANGLING A HYPERTHERMOPHILE‘S CHECKERED PAST‖ by Robert J.M. Eveleigh in partial fulfillment of the requirements for the degree of Master of Science. Dated: December 13, 2011 Co-Supervisors: _________________________________ _________________________________ Readers: _________________________________ ii DALHOUSIE UNIVERSITY DATE: December 13, 2011 AUTHOR: Robert J.M. Eveleigh TITLE: BEING Aquifex aeolicus: UNTANGLING A HYPERTHERMOPHILE‘S CHECKERED PAST DEPARTMENT OR SCHOOL: Department of Computational Biology and Bioinformatics DEGREE: MSc CONVOCATION: May YEAR: 2012 Permission is herewith granted to Dalhousie University to circulate and to have copied for non-commercial purposes, at its discretion, the above title upon the request of individuals or institutions. I understand that my thesis will be electronically available to the public. The author reserves other publication rights, and neither the thesis nor extensive extracts from it may be printed or otherwise reproduced without the author‘s written permission. The author attests that permission has been obtained for the use of any copyrighted material appearing in the thesis (other than the brief excerpts requiring only proper acknowledgement in scholarly writing), and that all such use is clearly acknowledged. _______________________________ Signature of Author iii TABLE OF CONTENTS List of Tables .................................................................................................................... -
4 Metabolic and Taxonomic Diversification in Continental Magmatic Hydrothermal Systems
Maximiliano J. Amenabar, Matthew R. Urschel, and Eric S. Boyd 4 Metabolic and taxonomic diversification in continental magmatic hydrothermal systems 4.1 Introduction Hydrothermal systems integrate geological processes from the deep crust to the Earth’s surface yielding an extensive array of spring types with an extraordinary diversity of geochemical compositions. Such geochemical diversity selects for unique metabolic properties expressed through novel enzymes and functional characteristics that are tailored to the specific conditions of their local environment. This dynamic interaction between geochemical variation and biology has played out over evolu- tionary time to engender tightly coupled and efficient biogeochemical cycles. The timescales by which these evolutionary events took place, however, are typically in- accessible for direct observation. This inaccessibility impedes experimentation aimed at understanding the causative principles of linked biological and geological change unless alternative approaches are used. A successful approach that is commonly used in geological studies involves comparative analysis of spatial variations to test ideas about temporal changes that occur over inaccessible (i.e. geological) timescales. The same approach can be used to examine the links between biology and environment with the aim of reconstructing the sequence of evolutionary events that resulted in the diversity of organisms that inhabit modern day hydrothermal environments and the mechanisms by which this sequence of events occurred. By combining molecu- lar biological and geochemical analyses with robust phylogenetic frameworks using approaches commonly referred to as phylogenetic ecology [1, 2], it is now possible to take advantage of variation within the present – the distribution of biodiversity and metabolic strategies across geochemical gradients – to recognize the extent of diversity and the reasons that it exists. -
A Method for Achieving Complete Microbial Genomes and Improving Bins from Metagenomics Data
bioRxiv preprint doi: https://doi.org/10.1101/2020.03.05.979740; this version posted July 18, 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 A method for achieving complete microbial genomes and improving 2 bins from metagenomics data 3 4 Authors: 5 Lauren M. Lui1, Torben N. Nielsen1, Adam P. Arkin1,2,3* 6 7 Affiliations: 8 1Environmental Genomics and Systems Biology Division, Lawrence Berkeley National 9 Laboratory, Berkeley, CA, USA. 10 2Department of Bioengineering, University of California, Berkeley, CA, USA 11 3Innovative Genomics Institute, Berkeley, CA, USA 12 13 *Correspondence: [email protected] 14 15 16 17 18 19 20 21 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.03.05.979740; this version posted July 18, 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. 22 Abstract 23 Metagenomics facilitates the study of the genetic information from uncultured microbes 24 and complex microbial communities. Assembling complete microbial genomes (i.e., 25 circular with no misassemblies) from metagenomics data is difficult because most 26 samples have high organismal complexity and strain diversity. Less than 100 27 circularized bacterial and archaeal genomes have been assembled from metagenomics 28 data despite the thousands of datasets that are available.