Cophylogenetic Interactions Between Marine Viruses and Eukaryotic
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Virus–Host Interactions and Their Roles in Coral Reef Health and Disease
!"#$"%& Virus–host interactions and their roles in coral reef health and disease Rebecca Vega Thurber1, Jérôme P. Payet1,2, Andrew R. Thurber1,2 and Adrienne M. S. Correa3 !"#$%&'$()(*+%&,(%--.#(+''/%!01(1/$%0-1$23++%(#4&,,+5(5&$-%#6('+1#$0$/$-("0+708-%#0$9(&17( 3%+7/'$080$9(4+$#3+$#6(&17(&%-($4%-&$-1-7("9(&1$4%+3+:-10'(70#$/%"&1'-;(<40#(=-80-5(3%+807-#( &1(01$%+7/'$0+1($+('+%&,(%--.(80%+,+:9(&17(->34�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cycling. Last, we outline how marine viruses are an integral part of the reef system and suggest $4&$($4-(01.,/-1'-(+.(80%/#-#(+1(%--.(./1'$0+1(0#(&1(-##-1$0&,('+>3+1-1$(+.($4-#-(:,+"&,,9( 0>3+%$&1$(-180%+1>-1$#; To p - d ow n e f f e c t s Viruses infect all cellular life, including bacteria and evidence that macroorganisms play important parts in The ecological concept that eukaryotes, and contain ~200 megatonnes of carbon the dynamics of viroplankton; for example, sponges can organismal growth and globally1 — thus, they are integral parts of marine eco- filter and consume viruses6,7. -
Extended Evaluation of Viral Diversity in Lake Baikal Through Metagenomics
microorganisms Article Extended Evaluation of Viral Diversity in Lake Baikal through Metagenomics Tatyana V. Butina 1,* , Yurij S. Bukin 1,*, Ivan S. Petrushin 1 , Alexey E. Tupikin 2, Marsel R. Kabilov 2 and Sergey I. Belikov 1 1 Limnological Institute, Siberian Branch of the Russian Academy of Sciences, Ulan-Batorskaya Str., 3, 664033 Irkutsk, Russia; [email protected] (I.S.P.); [email protected] (S.I.B.) 2 Institute of Chemical Biology and Fundamental Medicine, Siberian Branch of the Russian Academy of Sciences, Lavrentiev Ave., 8, 630090 Novosibirsk, Russia; [email protected] (A.E.T.); [email protected] (M.R.K.) * Correspondence: [email protected] (T.V.B.); [email protected] (Y.S.B.) Abstract: Lake Baikal is a unique oligotrophic freshwater lake with unusually cold conditions and amazing biological diversity. Studies of the lake’s viral communities have begun recently, and their full diversity is not elucidated yet. Here, we performed DNA viral metagenomic analysis on integral samples from four different deep-water and shallow stations of the southern and central basins of the lake. There was a strict distinction of viral communities in areas with different environmental conditions. Comparative analysis with other freshwater lakes revealed the highest similarity of Baikal viromes with those of the Asian lakes Soyang and Biwa. Analysis of new data, together with previ- ously published data allowed us to get a deeper insight into the diversity and functional potential of Baikal viruses; however, the true diversity of Baikal viruses in the lake ecosystem remains still un- Citation: Butina, T.V.; Bukin, Y.S.; Petrushin, I.S.; Tupikin, A.E.; Kabilov, known. -
<I>AUREOCOCCUS ANOPHAGEFFERENS</I>
University of Tennessee, Knoxville TRACE: Tennessee Research and Creative Exchange Doctoral Dissertations Graduate School 12-2016 MOLECULAR AND ECOLOGICAL ASPECTS OF THE INTERACTIONS BETWEEN AUREOCOCCUS ANOPHAGEFFERENS AND ITS GIANT VIRUS Mohammad Moniruzzaman University of Tennessee, Knoxville, [email protected] Follow this and additional works at: https://trace.tennessee.edu/utk_graddiss Part of the Environmental Microbiology and Microbial Ecology Commons Recommended Citation Moniruzzaman, Mohammad, "MOLECULAR AND ECOLOGICAL ASPECTS OF THE INTERACTIONS BETWEEN AUREOCOCCUS ANOPHAGEFFERENS AND ITS GIANT VIRUS. " PhD diss., University of Tennessee, 2016. https://trace.tennessee.edu/utk_graddiss/4152 This Dissertation is brought to you for free and open access by the Graduate School at TRACE: Tennessee Research and Creative Exchange. It has been accepted for inclusion in Doctoral Dissertations by an authorized administrator of TRACE: Tennessee Research and Creative Exchange. For more information, please contact [email protected]. To the Graduate Council: I am submitting herewith a dissertation written by Mohammad Moniruzzaman entitled "MOLECULAR AND ECOLOGICAL ASPECTS OF THE INTERACTIONS BETWEEN AUREOCOCCUS ANOPHAGEFFERENS AND ITS GIANT VIRUS." I have examined the final electronic copy of this dissertation for form and content and recommend that it be accepted in partial fulfillment of the requirements for the degree of Doctor of Philosophy, with a major in Microbiology. Steven W. Wilhelm, Major Professor We have read this dissertation -
Whole-Proteome Phylogeny of Large Dsdna Virus Families by an Alignment-Free Method
Whole-proteome phylogeny of large dsDNA virus families by an alignment-free method Guohong Albert Wua,b, Se-Ran Juna, Gregory E. Simsa,b, and Sung-Hou Kima,b,1 aDepartment of Chemistry, University of California, Berkeley, CA 94720; and bPhysical Biosciences Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720 Contributed by Sung-Hou Kim, May 15, 2009 (sent for review February 22, 2009) The vast sequence divergence among different virus groups has self-organizing maps (18) have also been used to understand the presented a great challenge to alignment-based sequence com- grouping of viruses. parison among different virus families. Using an alignment-free In the previous alignment-free phylogenomic studies using l-mer comparison method, we construct the whole-proteome phylogeny profiles, 3 important issues were not properly addressed: (i) the for a population of viruses from 11 viral families comprising 142 selection of the feature length, l, appears to be without logical basis; large dsDNA eukaryote viruses. The method is based on the feature (ii) no statistical assessment of the tree branching support was frequency profiles (FFP), where the length of the feature (l-mer) is provided; and (iii) the effect of HGT on phylogenomic relationship selected to be optimal for phylogenomic inference. We observe was not considered. HGT in LDVs has been documented by that (i) the FFP phylogeny segregates the population into clades, alignment-based methods (19–22), but these studies have mostly the membership of each has remarkable agreement with current searched for HGT from host to a single family of viruses, and there classification by the International Committee on the Taxonomy of has not been a study of interviral family HGT among LDVs. -
ICTV Code Assigned: 2011.001Ag Officers)
This form should be used for all taxonomic proposals. Please complete all those modules that are applicable (and then delete the unwanted sections). For guidance, see the notes written in blue and the separate document “Help with completing a taxonomic proposal” Please try to keep related proposals within a single document; you can copy the modules to create more than one genus within a new family, for example. MODULE 1: TITLE, AUTHORS, etc (to be completed by ICTV Code assigned: 2011.001aG officers) Short title: Change existing virus species names to non-Latinized binomials (e.g. 6 new species in the genus Zetavirus) Modules attached 1 2 3 4 5 (modules 1 and 9 are required) 6 7 8 9 Author(s) with e-mail address(es) of the proposer: Van Regenmortel Marc, [email protected] Burke Donald, [email protected] Calisher Charles, [email protected] Dietzgen Ralf, [email protected] Fauquet Claude, [email protected] Ghabrial Said, [email protected] Jahrling Peter, [email protected] Johnson Karl, [email protected] Holbrook Michael, [email protected] Horzinek Marian, [email protected] Keil Guenther, [email protected] Kuhn Jens, [email protected] Mahy Brian, [email protected] Martelli Giovanni, [email protected] Pringle Craig, [email protected] Rybicki Ed, [email protected] Skern Tim, [email protected] Tesh Robert, [email protected] Wahl-Jensen Victoria, [email protected] Walker Peter, [email protected] Weaver Scott, [email protected] List the ICTV study group(s) that have seen this proposal: A list of study groups and contacts is provided at http://www.ictvonline.org/subcommittees.asp . -
Host-Derived Viral Transporter Protein for Nitrogen Uptake in Infected
Host-derived viral transporter protein for nitrogen PNAS PLUS uptake in infected marine phytoplankton Adam Moniera,b,1, Aurelie´ Chambouveta,c,2, David S. Milnera,2, Victoria Attaha, Ramon´ Terradod, Connie Lovejoyb,e, Herve´ Moreauf, Alyson E. Santorog, Evelyne´ Derellef, and Thomas A. Richardsa,1 aLiving Systems Institute, School of Biosciences, College of Life and Environmental Sciences, University of Exeter, Exeter EX4 4QD, United Kingdom; bQuebec´ Ocean,´ Universite´ Laval, Quebec,´ QC, Canada G1V 0A6; cLaboratoire des Sciences de l’Environnement Marin, CNRS UMR 6539, Institut Universitaire Europeen´ de la Mer, Universite´ de Bretagne Occidentale, 29280 Plouzane,´ France; dDepartment of Biological Sciences, Dornsife College of Letters, Arts, and Sciences, University of Southern California, Los Angeles, CA 90089-0371; eTakuvik International Laboratory (CNRS Unite´ Mixte Internationale 3376), Departement´ de Biologie and Institut de Biologie Integrative´ et des Systemes,` Universite´ Laval, Quebec,´ QC, Canada G1V 0A6; fCNRS UMR 7232, Sorbonne Universites,´ Observatoire Oceanologique´ de Banyuls, 66650 Banyuls-sur-mer, France; and gDepartment of Ecology, Evolution, and Marine Biology, University of California, Santa Barbara, CA 93106 Edited by W. Ford Doolittle, Dalhousie University, Halifax, NS, Canada, and approved July 10, 2017 (received for review May 18, 2017) Phytoplankton community structure is shaped by both bottom– In addition to bottom–up nutrient limitation, phytoplankton up factors, such as nutrient availability, and top–down processes, community structures are influenced by top–down controls (13). such as predation. Here we show that marine viruses can blur For phytoplankton communities these include predation by graz- these distinctions, being able to amend how host cells acquire ers and viral infection (e.g., ref. -
Joseph G. Sinkovics RNA/DNA and Cancer RNA/DNA and Cancer Joseph G
Joseph G. Sinkovics RNA/DNA and Cancer RNA/DNA and Cancer Joseph G. Sinkovics RNA/DNA and Cancer 123 Joseph G. Sinkovics Retired Professor, M.D. Anderson Hospital Comprehensive Cancer Center The University of Texas Houston, TX USA Retired External Professor and Honorary Member H.L. Moffitt Comprehensive Cancer Center The University of South Florida Tampa, FL USA External Professor, Department of Molecular Medicine The University of South Florida Morsani College of Medicine Tampa, FL USA Retired Medical Director; Senior Scientific Medical Advisor, The Cancer Institute St. Joseph’s Hospital Tampa, FL USA ISBN 978-3-319-22278-3 ISBN 978-3-319-22279-0 (eBook) DOI 10.1007/978-3-319-22279-0 Library of Congress Control Number: 2015946582 Springer Cham Heidelberg New York Dordrecht London © Springer International Publishing Switzerland 2016 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. -
Systematic Survey of Non-Retroviral Virus-Like Elements in Eukaryotic
Virus Research 262 (2019) 30–36 Contents lists available at ScienceDirect Virus Research journal homepage: www.elsevier.com/locate/virusres Systematic survey of non-retroviral virus-like elements in eukaryotic genomes T ⁎ Kirill Kryukova, Mahoko Takahashi Uedab, Tadashi Imanishia, So Nakagawaa,b, a Department of Molecular Life Science, Tokai University School of Medicine, 143 Shimokasuya, Isehara, Kanagawa 259-1193, Japan b Micro/Nano Technology Center, Tokai University, 411 Kitakaname, Hiratsuka, Kanagawa 259-1292, Japan ARTICLE INFO ABSTRACT Keywords: Endogenous viral elements (EVEs) are viral sequences that are endogenized in the host cell. Recently, several Endogenous viral elements eukaryotic genomes have been shown to contain EVEs. To improve the understanding of EVEs in eukaryotes, we Database have developed a system for detecting EVE-like sequences in eukaryotes and conducted a large-scale nucleotide Evolution sequence similarity search using all available eukaryotic and viral genome assembly sequences (excluding those Comparative genomics from retroviruses) stored in the National Center for Biotechnology Information genome database (as of August 14, 2017). We found that 3856 of 7007 viral genomes were similar to 4098 of 4102 eukaryotic genomes. For those EVE-like sequences, we constructed a database, Predicted Endogenous Viral Elements (pEVE, http://peve. med.u-tokai.ac.jp) which provides comprehensive search results summarized from an evolutionary viewpoint. A comparison of EVE-like sequences among closely related species may be useful to avoid false-positive hits. We believe that our search system and database will facilitate studies on EVEs. 1. Introduction EVEs in the genomes of various species. However, this rapid increase in genome availability may cause difficulties in the comprehensive detection Virus DNA can become integrated into a host genome, where, if of EVEs in eukaryotic genomes. -
Supplementary Material
Supplementary Material Table S1. Viral membrane transport proteins with homologs in living organisms. The shown proteins have been functionally characterized. Alga species are indicated by *. Protein NCBI Accession # Length in Virus Virus family Genome size Host Reference aa, in base pairs, (Phylum) (Predicted (accession #) TMs) NC64A chlorovirus NP_048599.1 94 Paramecium bursaria Phycodnaviridae 330.661 Chlorella variabilis Plugge et al., potassium channel Kcv (2) chlorella virus-1 (PBCV-1) (Genus (JF411744.1) NC64A* 1999 chlorellavirus) (formerly: Chlorella NC64A) (Green algae) Pbi chlorovirus ABA40764.1 95 Chlorella Pbi virus MT325 Phycodnaviridae 314.335 Micractinium Gazzarrini et potassium channel Kcv (2) (Genus (DQ491001.1) conductrix* al., 2006 chlorellavirus) (formerly: Chlorella Pbi) (Green algae) SAG chlorovirus YP_001427066.1 82 Acanthocystis turfacea Phycodnaviridae 288.047 Chlorella heliozoae* Gazzarrini et potassium channel Kcv (2) chlorella virus-1 (ATCV-1) (Genus (NC_008724.1) (fomerly: Chlorella al., 2009 chlorellavirus) SAG3.83) (Green algae) Prasinovirus YP_004061440.1 83 Bathycoccus sp. RCC1105 Phycodnaviridae 198.519 Bathycoccus sp. Siotto et al., potassium channel (2) virus (BpV1) (Genus (NC_014765.1) RCC1105* 2014 KBpV Prasinovirus) (Green algae) Prasinovirus YP_004062056.1 79 Micromonas sp. RCC1109 Phycodnaviridae 184.095 Micromonas sp. Siotto et al., potassium channel (2) virus (MpV1) (Genus (NC_014767.1) RC1109* 2014 KMpV Prasinovirus) (green algae) Prasinovirus AFC34969.1 104 Ostreococcus tauri virus RT- Phycodnaviridae -
Mimiviridae: Clusters of Orthologous Genes, Reconstruction of Gene Repertoire Evolution and Proposed Expansion of the Giant Virus Family
Mimiviridae: clusters of orthologous genes, reconstruction of gene repertoire evolution and proposed expansion of the giant virus family. Natalya Yutin, Philippe Colson, Didier Raoult, Eugene Koonin To cite this version: Natalya Yutin, Philippe Colson, Didier Raoult, Eugene Koonin. Mimiviridae: clusters of or- thologous genes, reconstruction of gene repertoire evolution and proposed expansion of the giant virus family.. Virology Journal, BioMed Central, 2013, 10 (1), pp.106. <10.1186/1743- 422X-10-106>. <inserm-00808995> HAL Id: inserm-00808995 http://www.hal.inserm.fr/inserm-00808995 Submitted on 8 Apr 2013 HAL is a multi-disciplinary open access L'archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destin´eeau d´ep^otet `ala diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publi´esou non, lished or not. The documents may come from ´emanant des ´etablissements d'enseignement et de teaching and research institutions in France or recherche fran¸caisou ´etrangers,des laboratoires abroad, or from public or private research centers. publics ou priv´es. Yutin et al. Virology Journal 2013, 10:106 http://www.virologyj.com/content/10/1/106 RESEARCH Open Access Mimiviridae: clusters of orthologous genes, reconstruction of gene repertoire evolution and proposed expansion of the giant virus family Natalya Yutin1, Philippe Colson2, Didier Raoult2 and Eugene V Koonin1* Abstract Background: The family Mimiviridae belongs to the large monophyletic group of Nucleo-Cytoplasmic Large DNA Viruses (NCLDV; proposed order Megavirales) and encompasses giant viruses infecting amoeba and probably other unicellular eukaryotes. The recent discovery of the Cafeteria roenbergensis virus (CroV), a distant relative of the prototype mimiviruses, led to a substantial expansion of the genetic variance within the family Mimiviridae. -
Evolution of Codon Usage in the Smallest Photosynthetic Eukaryotes and Their Giant Viruses
GBE Evolution of Codon Usage in the Smallest Photosynthetic Eukaryotes and Their Giant Viruses Stephanie Michely1,2,6, Eve Toulza1,2, Lucie Subirana1,2,UweJohn3,Vale´rie Cognat4, Laurence Mare´chal-Drouard4, Nigel Grimsley1,2,Herve´ Moreau1,2,andGwenae¨l Piganeau5,* 1UPMC Univ Paris 06, UMR7232, BIOM, Observatoire Oce´anologique, F-66650, Banyuls-sur-Mer, France 2 CNRS, UMR7232, Observatoire oce´anologique, Banyuls-sur-Mer, France Downloaded from 3Alfred Wegener Institute for Polar and Marine Research, Bremerhaven, Germany 4Institut de Biologie Mole´culaire des Plantes, UPR2357 CNRS, associated with the University of Strasbourg, France 5School of Life Sciences, Sussex University, Falmer, United Kingdom 6Present address: INRA, UMR1319 Micalis, Jouy-en-Josas, France http://gbe.oxfordjournals.org/ *Corresponding author: E-mail: [email protected]. Accepted: March 29, 2013 Data deposition: The complete microarray data set has been submitted to the ArrayExpress public database at EBI (Parkinson et al. 2009) under the accession number: E-MEXP-3520. Table 1 summarizes the GenBank accession numbers of genomes analyzed in the article. Abstract at Alfred-Wegener-Institut fuer Polar- und Meeresforschung on May 13, 2013 Prasinoviruses are among the largest viruses (>200 kb) and encode several hundreds of protein coding genes, including most genes of the DNA replication machinery and several genes involved in transcription and translation, as well as transfer RNAs (tRNAs). They can infect and lyse small eukaryotic planktonic marine green algae, thereby affecting global algal population dynamics. Here, we investigate the causes of codon usage bias (CUB) in one prasinovirus, OtV5, and its host Ostreococcus tauri, during a viral infection using microarray expression data. -
Supporting Information
Supporting Information Wu et al. 10.1073/pnas.0905115106 20 15 10 5 0 10 15 20 25 30 35 40 Fig. S1. HGT cutoff and tree topology. Robinson-Foulds (RF) distance [Robinson DF, Foulds LR (1981) Math Biosci 53:131–147] between viral proteome trees with different horizontal gene transfer (HGT) cutoffs h at feature length 8. Tree distances are between h and h-1. The tree topology remains stable for h in the range 13–31. We use h ϭ 20 in this work. Wu et al. www.pnas.org/cgi/content/short/0905115106 1of6 20 18 16 14 12 10 8 6 0.0/0.5 0.5/0.7 0.7/0.9 0.9/1.1 1.1/1.3 1.3/1.5 Fig. S2. Low complexity features and tree topology. Robinson-Foulds (RF) distance between viral proteome trees with different low-complexity cutoffs K2 for feature length 8 and HGT cutoff 20. The tree topology changes least for K2 ϭ 0.9, 1.1 and 1.3. We choose K2 ϭ 1.1 for this study. Wu et al. www.pnas.org/cgi/content/short/0905115106 2of6 Table S1. Distribution of the 164 inter-viral-family HGT instances bro hr RR2 RR1 IL-10 Ubi TS Photol. Total Baculo 45 1 10 9 11 1 77 Asco 11 7 1 19 Nudi 1 1 1 3 SGHV 1 1 2 Nima 1 1 2 Herpes 48 12 Pox 18 8 2 3 1 3 35 Irido 1 1 2 4 Phyco 2 3 2 1 8 Allo 1 1 2 Total 56 8 35 24 6 17 14 4 164 The HGT cutoff is 20 8-mers.